Review on the management of Weston’s board of directors in the first half of 2023
() The business review of the Board of Directors in the first half of 2023 is as follows:
I. Main businesses of the Company during the reporting period
Weston’s business mainly covers intelligent manufacturing, digital finance and other aspects. It builds industrial software and data product systems around digital and intelligent transformation, and provides industrial software represented by MOM and ERP, and general emerging technology software products and related services represented by big data and artificial intelligence technology for industrial and financial customers. (a) the development of the company’s industry 1. Macroeconomics According to the data released by the National Bureau of Statistics, the GDP in the first half of 2023 increased by 5.5% year-on-year, which was significantly faster than the economic growth rate of 3% in the whole year of last year, and the added value of information transmission, software and information technology services increased by 12.9%. The continuous enhancement of innovation kinetic energy will inject () into economic development. Modern information technology, artificial intelligence, big data and other technologies are widely used, and innovative achievements are constantly emerging. () New products are growing well. Scientific and technological innovation continues to empower high-quality development. The added value of industrial enterprises above designated size increased by 3.8% year-on-year. In terms of economic types, the added value of state-owned holding enterprises increased by 4.4% year-on-year in the first half of the year. Joint-stock enterprises grew by 4.4%. According to the data released by the National Bureau of Statistics, in the first half of 2023, the added value of the financial industry increased by 7.3% year-on-year, and the business activity indexes of the monetary and financial services, insurance and other industries were all in the high boom range of 60.0% and above. The main business of banking and insurance maintained steady growth. At the end of the first half of the year, the total assets of banking financial institutions increased by 10.5% year on year. Among them, large state-owned commercial banks continued to maintain double-digit growth in total assets, with total assets reaching 165.43 trillion yuan at the end of June 2023, up 13.7% year-on-year, and total assets of insurance companies increased 9.6% year-on-year. In the first quarter of 2023, China’s commercial banks realized a cumulative net profit of 667.9 billion yuan, a year-on-year increase of 1.3%. 2. Policy environment In the field of industrial software and emerging technology software where the company is located, the state and local governments have issued a series of policy documents to lead the digitalization process of society. After the release of Made in China 2025, the government issued a series of policy documents, such as Intelligent Manufacturing Development Plan, Overall Layout Plan of Digital China Construction, Outline of Digital Transformation Strategy, Intelligent Manufacturing Development Plan in the Tenth Five-Year Plan and Digital Industry Development Plan in the Tenth Five-Year Plan, to guide the whole society and manufacturing industry to carry out digital and intelligent transformation. Due to the guidance of policies, all manufacturing enterprises with a small scale are practicing digital and intelligent transformation. This has also promoted the continuous informatization investment of the whole manufacturing industry and brought continuous market demand to all suppliers serving this field. The Tenth Five-Year Digital Economy Development Plan issued by the State Council and the Financial Science and Technology Development Plan (2022-2025) issued by the People’s Bank of China all put forward that big data, artificial intelligence, cloud computing, blockchain and other technologies should be applied to accelerate the overall digital transformation of the financial industry, and the innovation and construction investment of the entire financial technology should be promoted on the premise that the industry is safe, independent and controllable. 3. Development trend of informatization in industrial and financial sectors (1) Continuous investment in informatization is a long-term demand under the requirement of intelligent transformation of manufacturing industry. In the first half of 2023, the country achieved positive results in promoting new industrialization, and industrial investment maintained expansion, with an increase of 8.9% in the first half of the year; The intelligent transformation of manufacturing industry has maintained a good development trend, mainly as follows: First, the scale of smart factory construction has been continuously expanded and the level has been continuously improved. Second, new scenarios, new schemes and new models of intelligent manufacturing are constantly emerging. The equipment manufacturing industry explores collaborative design, virtual verification, remote operation and maintenance and other modes to promote rapid product iteration and efficiency improvement; The consumer goods industry innovates mass customization, user direct manufacturing, Sharing Manufacturing and other modes to meet individual needs and tap the experience value; The raw material industry implements the integrated operation of production, supply and marketing, cross-process quality control and other modes to promote industrial quality improvement, efficiency improvement, intrinsic safety and energy saving. Third, international cooperation in intelligent manufacturing continued to deepen. The multi-bilateral innovation cooperation mechanism of intelligent manufacturing has been continuously improved. From the perspective of international competition pattern, there is still a big gap between domestic tobacco enterprises and international giants in terms of scale and volume, overall efficiency of supply chain, product research and development and manufacturing. With the continuous improvement of China’s trade openness, the competitive pressure of domestic tobacco enterprises from international tobacco giants is also increasing, and the demand of domestic tobacco enterprises to improve their core competitiveness is also very urgent. The improvement of the competitiveness of domestic tobacco enterprises and the narrowing of the gap with international giants are inseparable from the continuous development of digital and intelligent transformation, which has become an important reason for the continuous investment in informationization in the domestic tobacco industry, and business information suppliers have brought continuous business opportunities. In the domestic tobacco industry segmentation market, the overall information construction of the industry is at the leading level in the industrial industry. In the tobacco market segment, there are 17 domestic Chinese tobacco companies and 33 provincial tobacco companies, with nearly 100 cigarette factories and hundreds of upstream factories in the supply chain. Under the guidance of national policies, as well as the overall planning of the industry development and the needs of the development and competition of various enterprises, the industry continues to carry out digital and intelligent transformation, thus providing continuous information market opportunities. Judging from the domestic competition among tobacco enterprises, the whole domestic market has also entered the stage of stock competition in the consumer market, and all enterprises are competing with enterprises in the same industry by improving the efficiency of the overall supply chain and the efficiency of internal R&D, production and marketing. To this end, under the overall guidance of the industry, all enterprises have carried out the work of digital transformation, and all enterprises are promoting the digital transformation of enterprises through the input of informatization, so as to build and enhance their own R&D, product, manufacturing and marketing capabilities, so as to enable enterprises to stay ahead and win in the competition in the domestic market. Therefore, domestic competition in the same industry also promotes enterprises in various industries to continuously maintain information investment. (2) Digital transformation and intelligent upgrading are the development trends in the financial field. The financial industry is one of the industries with the richest data resources in China. Financial institutions usually deploy a large number of application systems, which continuously generate and store business data in their daily operations. After long-term digital operation and accumulation, huge amounts of high-value data have accumulated in each system. The possession of financial data is only the starting point of digital finance. What really plays the role of data empowerment is the iterative process of financial data processing, analysis and feedback business. Big data has the characteristics of huge volume, diverse sources and structures, fast generation, low unit value density and changeability, and it needs new data architecture such as unstructured database to be effectively processed (). The financial industry has rich basic resources suitable for the application of big data technology. The goal of big data technology application is to improve the ability of enterprises to process massive data quickly and efficiently, including the improvement of insight ability of incremental data and the improvement of mining ability of stock data. The application of big data technology in the financial field can be divided into two categories: regulatory application and institutional operation and maintenance service application. Financial supervision mainly forms a comprehensive regulatory analysis report through data collection, analysis and mining technology, which provides support for regulators to quickly and accurately grasp the development and potential risks of various financial businesses, enrich and improve regulatory infrastructure or propose risk early warning models; The application of financial institutions’ operation and maintenance services includes three categories: institutional operation, services and infrastructure. The massive data are professionally mined and analyzed by means of information technology, so as to better serve the business of asset price trend judgment, personal credit evaluation of institutions, capital flow distribution and financial risk control, and provide more accurate strategies for institutional operation, service and marketing. In the application of big data technology and industry integration, the financial industry is one of the main application industries in the past and now. According to the data disclosed by Toubao Research Institute, in 2018, the market size of big data technology in China’s financial industry reached 47.1 billion yuan. It is estimated that by 2023, the market scale of big data technology in China’s financial industry will show a significant growth, which is expected to reach 151.23 billion yuan. In the era of big data, the operational information, customer information, transaction information, asset information, credit information and other data of the financial industry will become high-value data assets after effective collection, collation and analysis, which can effectively help financial institutions to improve the efficiency of enterprise management internally, enhance their credit risk management ability externally, and improve their precision marketing ability and anti-fraud management level. The application of big data can provide effective support for empirical decision-making, help enterprises optimize resource allocation, enable financial institutions to understand customer needs more deeply, and develop innovative new products that meet customer needs. With the advancement of the digital transformation of the financial industry, the application of financial big data presents the development trend of data source integration, technology integration and data application cooperation, and the importance of financial big data security and supervision is highlighted, and the application of big data technology will become the core competitiveness of financial enterprises. The financial industry is a natural digital enterprise, especially in recent years, driven by the overall digitalization of the country and the industry, and supported by emerging technologies, the entire core business model of the entire financial industry is continuously undergoing digital and intelligent transformation. All financial customers are constantly introducing new digital service products, on the one hand, they are improving their internal business and management digitalization and management efficiency; On the other hand, under the requirement of penetrating supervision, the management and control of all business operation processes are strengthened, and the requirements of digitalization and intelligence of supervision requirements are met; At the same time, it has also continuously increased investment in business data governance, data management automation, and data processing flow and batch integration, which has guaranteed the continuous investment of the whole industry in informatization. With the innovative application of head financial institutions in data application, a large number of new precision marketing financial service products and new risk prevention and control products have been born, which has brought stable growth to their business and effective control of operational risks, which has also injected new impetus into the continuous increase of investment in data application in the whole industry and brought stable and sustainable market demand to suppliers providing information services in this industry. At the same time, under the overall requirements of national autonomy and controllability, the investment in domestic substitution of information-related software and hardware in the financial industry has also provided sustained market demand for the industry. (II) Main business of the company Weston is a software development and information service enterprise that focuses on the industrial and financial fields and is committed to improving the digital, networked and intelligent level of enterprise management. Based on the deep understanding of customer business and its industrial chain, and the business accumulation of enterprise information implementation services over the years, the company has formed a variety of independent products and solutions. According to different application fields, the company’s business mainly covers intelligent manufacturing and digital finance. The software products developed by the company mainly include industrial software represented by MOM and ERP, and general emerging technology software products represented by big data and artificial intelligence technology. General emerging technology software can be used as an independent product to provide customers with complete product services, and can also be integrated into various products of the company through service consumption mode, effectively improving the intelligent level of related products of the company, better serving customers and helping the company to compete in the fields of intelligent manufacturing and digital finance. The company is a state-level key software enterprise, the first batch of high-tech enterprises in Shanghai, the "small giant of science and technology" enterprise in Shanghai, the enterprise technology center in Shanghai and the specialized and special new enterprise in Shanghai. The company has obtained ISO9000, ISO27001, ISO20000 and CMMI5 (Level 5 of Capability Maturity Integration Model). And other professional certification, with information security service second-class qualification, MES products were rated as "Shanghai Zhizao" products. During the reporting period, the company was awarded as a national key software enterprise in 2022 and a specialized and special new enterprise in Shanghai in 2022, and its core industrial software products were selected into the recommended catalogue of industrial software in Shanghai in 2022. (III) Main products (services) and uses of the company In the application scenarios of intelligent manufacturing and digital finance, the company independently developed and launched a variety of products and solutions, which can comprehensively build an enterprise information system. Around the transformation of digital intelligence, Weston’s product system mainly includes industrial software related to intelligent manufacturing and emerging technology software represented by data products. Industrial software includes "Smart Series" manufacturing operation management system (MOM) and "Smart Series" enterprise resource management system (ERP), and emerging technology software includes "Smart Series" data management system (DataM), "Smart Dimension Series" IT integrated operation management platform (ITSM) and related algorithm model software. The company has been committed to helping customers realize intelligent manufacturing, with the core concept of "intelligence is to replace’ manpower+human brain’", and gradually assist and replace the mental and physical labor of managers at all levels through intelligent perception, real-time analysis and intelligent decision-making model of information application. In the production control industrial software MOM and management industrial software ERP, which are mainly introduced by the company, intelligent perception, intelligent analysis, intelligent decision-making, deep learning and edge intelligent equipment represented by robots are embedded, which is the continuous practice of the above concepts. The accumulation, monitoring and management of data assets, as well as the long-term stable operation of information systems are the basis for the realization of intelligence in business systems. 1.MOM "Wisdom Series" Based on MES, it realizes the comprehensive digital management and intelligent operation of enterprise production process, integrates manufacturing execution and operation, and is an integrated manufacturing management platform for the whole manufacturing process. Focus on "fine management, comprehensive perception, transparent operation, intelligent decision-making and precise execution of factory production", realize real-time perception of all factors and whole process management in the production process through Internet of Things technology, realize continuous learning and improvement of intelligent decision-making model through big data technology, realize empowerment of "people, machines, materials, development, environment and measurement" in the production process, and gradually turn the production operation process and equipment control into intelligence and help. MOM "Wisdom Series" mainly includes the following systems: (1) Manufacturing Execution Management System i+MES Through the integrated management, monitoring and statistical analysis of the workshop executive layer, the sensor data, output data, consumption data and other data of the production equipment are comprehensively collected through the industrial Internet of Things, so as to comprehensively optimize the management of the whole production process. (2) Advanced Scheduling Management System i+APS Advanced scheduling is an event-driven intelligent supply chain scheduling. The events such as equipment abnormality, raw and auxiliary materials guarantee, sales plan change, etc. are obtained in real time through information technology, and the production schedule and supply chain guarantee schedule are automatically adjusted through scientific algorithm model, which replaces the human brain and manual way to make overall arrangements for all links of production activities, thus realizing the delivery forecast, capacity balance, process production plan and supply chain guarantee plan under the condition of limited production capacity, ensuring the reasonable allocation and cooperation of people, machines, materials, methods, environment and testers in the production process, and improving production efficiency. (3) process statistical control system i+SPC Collect, monitor, calculate and predict all kinds of key equipment operation parameters related to quality control in the production process in real time, and predict and judge the stability of the production process through artificial intelligence algorithm line, timely and accurately find abnormal fluctuations in the production process, and intelligently diagnose and analyze abnormal fluctuations, guide the production to take corrective and adjustment measures in time to ensure the steady state of the production process. (4) Quality traceability system i+QTR Based on the knowledge map theory, through the collection, learning, processing and updating of production quality data, the wisdom produces an all-round and all-factor production quality pedigree, and the unified knowledge management of production quality data is completed. Through the integrated enterprise "Quality Skynet" management of forward control and backward traceability of batches, when quality abnormality occurs, comprehensive freezing instructions such as production and materials are issued in time through rapid retrieval of quality pedigree, so as to minimize the loss of quality cost. (5) Process management system i+PTM Realize the comprehensive digital and intelligent management of production technology. The core of process management is the real-time acquisition of equipment collected by OT, the real-time calculation of algorithm model to obtain the best process technical parameters, and the optimized process parameters are downloaded to the control equipment through OT, thus replacing the traditional manual control of process parameters, strengthening the fineness of process management, and effectively improving the management level and intelligent level of process execution. (6) Power and energy management system i+EMS The supply plan comes from advanced scheduling, which automatically generates water, electricity, steam, air pressure, vacuum pressure and other energy supplies through AI algorithm. Through the implementation and monitoring of the plan, the planning of energy supply can be effectively improved, the energy utilization rate can be improved, energy leakage can be prevented, energy waste can be reduced, and energy expenditure of enterprises can be reduced, thus helping enterprises to achieve green production. (7) products of emerging technologies such as big data, artificial intelligence and machine learning. For example, disorderly impurity removal algorithm based on visual recognition, intelligent moisture control of drying barrel based on artificial neural network algorithm model, intelligent tobacco grade recognition based on deep neural network algorithm model, AI equipment fault prediction model, moisture prediction model, impurity identification model, etc., as well as various industrial mechanism models based on machine learning, are organically integrated into the company’s MOM, which is the cornerstone to help customers change from single point intelligence to production line intelligence, and finally realize comprehensive intelligence in manufacturing. 2.ERP "Smart Camp Series" Focus on "How to operate in an efficient and cooperative manner", and on the basis of MOM, comprehensively collect the internal and external business data such as market, marketing, procurement, logistics and after-sales, so as to realize the close integration of information flow, capital flow and management flow, realize the optimization and sharing of resources, and help enterprises realize advanced market insight, accurate product research and development, coordinated production and operation, and intelligent business decision. ERP "Smart Camp Series" mainly includes the following systems: (1) product life cycle management O+PLM Product life cycle management for manufacturing industry, and an innovative R&D management system from product planning and design to manufacturing collaboration should be constructed. Based on the deep learning of historical R&D data, combined with BP neural network algorithm and other models, the digital design of formula, raw materials, auxiliary materials and technological parameters is realized, which makes product R&D change from empirical research to digital and intelligent product R&D. Promote enterprises to improve their design and process management capabilities, shorten product research and development cycle, and improve enterprise research and development efficiency. (2) Material procurement management system O+PMS Based on the theory of supply chain management, the whole process management system of purchasing business of group enterprises is designed and developed. Its core is to generate a material demand plan through calculation by combining AI inventory strategy model with production guarantee plan (which can come from MOM’s advanced scheduling) and economic purchasing lot size strategy. The procurement process based on the plan is managed into a closed loop of enterprise purchasing management business, which helps users realize the management goal of ensuring the smooth implementation of production in the early stage with the lowest procurement cost and inventory cost. (3) Supplier Management System O+SRM Applying supplier qualification and quality evaluation algorithm, combined with RPA (robot process automation) and intelligent image recognition technology, it helps customers to establish supplier product quality control and evaluation system. At the same time, it provides an interactive communication platform for suppliers based on the Internet, so as to realize comprehensive and intelligent supplier management and efficient collaborative management of upstream and downstream enterprises in the supply chain. (4) Safety management system O+SEM Based on the laws, regulations and industry standards in the safety field, around the risk control and hidden trouble investigation and management, the responsibility system for production safety is implemented by information technology, and the functions of risk prediction, hidden trouble early warning, safety equipment maintenance and automatic performance evaluation of safety management are realized by combining visual identification and AI model. (5) Enterprise collaboration platform O+ERP Unified access to all kinds of information resources of enterprises and information service carriers is an enterprise-level unified entrance to informatization. Collaborative platform is the portal for the whole enterprise informatization. Through unified portal, unified message, unified to-do list and personal "thousands of people and thousands of faces" business portal, customers can pay attention to their business and ignore the existence of specific systems. Enterprise collaboration platform is not only the collaboration platform of ERP series products, but also the collaboration platform of other products such as Weston MOM. 3.DataM "Intelligent Number Series" Mainly through data tags, deep learning algorithms and other technologies, it focuses on "how enterprises can efficiently use their own data to achieve innovation and development" and serves "how enterprises can use their own data to serve daily production and operation". Weston provides complete data management and application solutions for enterprises through the combination of big data and artificial intelligence technologies. Through the in-depth analysis of the data of business links such as market, R&D, production and procurement, the laws behind the data can be mined, which will make enterprise data more valuable, make enterprise management more intelligent and empower enterprise data application reform and innovation. "Smart Number Series" products mainly include: (1) Real-time star Link The data of different data elements are collected by real-time sensing technology, and the collected data are cleaned, processed, calculated and stored by batch flow computing engine, and the dimensional data are generated or updated, which provides the data foundation for data service. The data acquisition of the satellite chain can collect data for different data, and complete the acquisition drive of the new data source through the adaptation of the acquisition protocol. (2) star chain computing engine It can realize the data calculation of batch and stream integration, and at the same time, with the help of product AI model and deep learning, it can deeply mine massive data, providing a solid foundation for intelligent data application. (3) Data asset management The deep application of data assets requires unified management of data assets, including data standard management, metadata management, data quality management and data asset use management, which is completed by Link data asset management. Data asset management is that basi of data application. The data platform gathers all the data needed by the enterprise, and has the characteristics of large amount of data, high calculation frequency, high service consumption and close business integration. Ensuring the stable operation of the platform is the key concern of the enterprise. Through the real-time task management, real-time scheduling management and platform monitoring of the Link monitoring platform, the platform problems can be found and solved in time, so as to make the data service more sustainable. 4.ITSM "Zhiwei Series" Weston’s early ITSM system is a set of systems for IT personnel based on ITIL theory, which mainly includes: problem management, event management, service request, SLA service level and operation and maintenance evaluation management, etc., and focuses on solving the problem of "how to ensure the stable operation of enterprise information systems". However, with the continuous emergence of emerging technologies such as cloud computing and big data, higher requirements are put forward for IT personnel of enterprises. For example, the static and dynamic allocation of cloud resources, the allocation and adjustment of big data nodes, and the control of the real-time operation of the entire IT infrastructure environment. Simple "Zhiwei" can no longer meet the job requirements of enterprise IT personnel. Therefore, Weston added IT service management related to big data management to the original "Zhiwei Series", providing professional management of automation management of big data cluster platform for users with big data clusters and big data cluster applications, automatically allocating and recycling computing and storage resources according to real-time information of computing resources, and through real-time data collection of computing resources and AI algorithm, Predict the health status of equipment, timely warn or adjust the distribution of resources, realize the automation and intelligent service platform of IT service, improve the IT management, service standardization and efficiency of enterprises, reduce the high-quality requirements of users’ IT personnel, and gradually transform the IT department of enterprises from "IT operation and maintenance management" to "IT comprehensive service management", and Weston’s products are gradually transformed from "Zhiwei series" products to "Smart service series" products. (4) Business model 1. R&D mode The company mainly conducts research and development in technical research, product development and technical upgrading of existing products. The technical research aims at tracking, learning and mastering the cutting-edge new technology, which can form a small pilot based on the application of this technology, and summarize the methods of rapid training and popularization and application; Product research and development aims at new product research and development, realizes the research and development products of the company’s new product review objectives, supports the implementation of new product application projects, obtains the customer’s demand feedback on new products more quickly, finds the defects and problems of new products, gradually improves and optimizes the products, and finally delivers the implementable version; Technical upgrading of existing products refers to upgrading the technical architecture of the products that have been developed originally and integrating artificial intelligence technology to ensure the high availability and advanced technology of the products and ensure the vitality of the products. The research and development of the company’s products is carried out according to the information development planning of related industries and the development needs of enterprises. The demand for research and development products comprehensively considers the market demand, technology development trend and enterprise development strategic planning. Therefore, most of the products developed by the company can realize revenue conversion as expected. The company’s R&D management mechanism covers the total budget control, R&D project evaluation, R&D project cost control, process management, and final acceptance of the company’s R&D projects. 2. Marketing and profit model The company’s profit comes from the difference between the income from providing software products and related services to customers and the project cost. Company customers are mainly distributed in tobacco industry, finance and other sub-industries. In the course of many years’ operation, the company has been adhering to the spirit of "craftsman" and continuously providing customers with high-quality products and services, and has established a good reputation and popularity in the industry. Because most of the industry customers served by the company are the head customers in the industry, both the management concept and the information application are relatively advanced, which has a good demonstration effect in the industry. With the successful delivery of major projects undertaken by the company, these successful cases have become a plus item for exploring new customers to undertake new business, bringing a virtuous circle of business development of the company. In the pre-sales stage, the company actively participated in the new project planning and technical demonstration of customers in related industries. When participating in project bidding, based on product and industry experience, combined with customers’ business scenarios, current situation and needs, the company formulates personalized solutions for them. At the same time, in order to meet the overall construction needs, some bidding schemes involve software development and the construction of related IT environment and OT environment. After signing the contract, the company organizes relevant resources to complete the work agreed in the contract and deliver software development and related service products to customers. 3. Mode of production and service Software development business is an independent product and solution formed by the company in the process of years of information service. In order to meet the individual needs of different customers, it provides customers with integrated services such as process combing and improvement, application software design, development, testing, software installation and deployment, training and data migration. Among them, industrial software development is a product implementation plus secondary development by using existing software products or an application software system customized for industrial customers, including demand analysis, design, development, testing, deployment, trial operation, training handover, acceptance and other project implementation links. For development projects, the customer contract will set up multiple payment nodes related to the project progress, which will enter the warranty period after the project acceptance, and about 5% of the final payment will be paid after the warranty period expires. Emerging technology software development mainly refers to products and services such as customized software development, data planning, governance, application and overall platform construction provided to customers by applying emerging technologies such as artificial intelligence, big data and knowledge map. In manufacturing customers, such applications are settled by project. After the system meets the requirements through trial operation, it will be accepted, and several payment nodes will be set according to the project schedule. After acceptance, most of the money will be collected, and the final payment will be paid after the warranty expires. In the financial field, due to the independent and controllable requirements of customers in the financial industry, services are usually provided to customers in the form of technical service contracts. According to the contract requirements, the company sends corresponding level and professional development and technical personnel to the customer’s site to provide service responses that meet the customer’s requirements. Provide software development, data operation, data governance or related platform operation and maintenance services according to customers’ needs, and settle accounts according to working hours, usually quarterly or semi-annually. Operation and maintenance service is to ensure the normal use of the software system and provide professional technical support services for the stable operation of the information-based platform. Generally, the contract is signed annually, and the service is provided continuously during the contract period, and the customer pays according to the time schedule. System integration business is to conduct technical demonstration, equipment selection, scheme formulation, software and hardware equipment procurement, supply installation and deployment, instrument configuration, data migration and user training according to customer business scenarios. From the purpose, IT can be divided into IT network construction and service, OT network construction and service, and intelligent equipment integration and service. IT network is mainly used for computer system-related applications and services, OT network is mainly used for real-time control of manufacturing and access of data acquisition system and industrial control system, and intelligent equipment integration service realizes intelligent transformation of equipment through equipment integration service, and meets the overall requirements with intelligent production software system. According to the contract, the system integration business will be accepted as a whole after product delivery and joint debugging. According to the contract, part of the payment is usually made after the goods are installed, and the rest is paid after the overall acceptance. The sales and service of software products means that the company selects and configures mature software product components for customers and provides technical services for customers according to their needs, combined with their software and hardware environments and application scenarios. The typical business scenario is to conduct technical demonstration and platform construction of big data platform selection and provide technical services based on this platform. According to the terms of the contract, this kind of business generally provides services continuously during the service period, and customers make settlement and payment according to the time schedule or service times. 4. Purchasing mode Because the customer’s demand has obvious personalized characteristics, the company purchases on demand, designs and selects specifications, models, performance indicators and functions according to the customer’s demand, and then orders the required materials from suppliers. The ending inventory of the company is mainly the cost of projects being performed. The materials purchased by the company mainly include computer supporting software and hardware facilities, equipment used for data acquisition and industrial execution control and their installation services. The above-mentioned materials are well supplied in the market, and the price is transparent. The company buys them from the original manufacturer or its designated dealer according to the market price. The purchasing department of the company is responsible for the procurement of materials needed in the project. The company has established the Procurement Management Procedure, which is used to evaluate and select qualified suppliers, and control the purchased products to ensure that the purchased products meet the requirements. 5. Changes during the reporting period and future trends. At present, the business model adopted by the company is based on the requirements and guidance of the Chinese government for the digital transformation of the industry, taking into account many factors such as the company’s business development, market resources, technology precipitation and development strategy, and the business model formed after years of practice will not change in the short term. The main reason why the company focuses its own business on the information technology application business direction related to informationization and intelligence is that on the one hand, it is based on its own information technology accumulation, implementation ability and enterprise development background, on the other hand, it is based on the prospect that it will continue to increase its investment in the field of digitalization and intelligence in the future, which can ensure the stability and gradual expansion of market demand. In the industrial field, China, as a big manufacturing country, is still in the initial stage of digital transformation in supporting the information application of the manufacturing industry to continuously improve quality and efficiency, or in the stage of focusing on business digitalization and embedding some digital operations and intelligent application scenarios, which still lags behind the advanced intelligent manufacturing level in the world. In the foreseeable 5-10 years, the government will guide the development direction of enterprises, and will still promote digital transformation to achieve intelligent manufacturing, and promote the overall industrial upgrading and intelligent operation of manufacturing industry. In the financial industry, with the entry of Internet finance companies, the traditional financial enterprises are influenced by it, and their businesses are also obviously based on big data mining and application technology, accurately designing and launching businesses for segmented customer groups, and realizing the mode of precise marketing through various technical means, and the characteristics of online, mobile and digital business are becoming more and more obvious, which also promotes all financial companies to continuously increase their investment in data operation business; In addition, due to the independent, safe and controllable policy requirements,Domestic substitution has also given birth to the financial industry’s increasing demand for domestic hardware, system platforms and tools and software, which will also lead to the need to adapt the application of the original non-domestic platform to the domestic platform. In addition to providing software development and operation and maintenance services to industry customers, the company also provides customers with system integration, software product sales and services. On the one hand, the business of system integration, software product sales and services is to meet the needs of IT and OT platform construction generated by customers in the process of information project construction, upgrading and optimization, on the other hand, it is also a way for the company to expand incremental customers and enter new industries. During the reporting period, the company’s business model and its influencing factors have not changed significantly. In the future, in the industrial sector, the company will continue to optimize and iterate product upgrades, use new technologies to further enhance the intelligence of the company’s products, and realize support for industrial clusters and supply chains; In the financial industry, we will seize the business opportunities brought by data application and domestic substitution and promote existing products and services to new customers. (5) Market position The company has been deeply involved in subdivided industries for many years, and the industrial software independently developed by the company has gone through a trilogy of development with industry customers from the perspective of empowering customers: The first stage is to help customers realize interconnection at the manufacturing level. Standardized business processes are established through single application, and the integration of production process control and business information management can realize the interconnection of production execution level and the full cooperation among people, machines, materials, methods and environment. In the second stage, it helps customers to realize the comprehensive coordination among the business fields within the group enterprise. While continuously improving and optimizing the production process control and management of a single factory (such as MES, ERP, APS upgrade), we will realize the coordination between R&D and production, production and logistics, production and marketing within a group enterprise, and focus on improving the overall efficiency within the enterprise, so as to realize the comprehensive control and integrated cooperative operation of the production and operation factors of the enterprise. The third stage is the digital intelligent transformation of data-driven and intelligent decision-making. To build a comprehensive digital intelligent enterprise, on the basis of realizing the comprehensive data of business, the original manual decision-making production and operation activities will be changed to decision-making driven by data model, and enterprise personnel will turn to data operation, either to realize new business to expand the business boundary of the enterprise or to realize the continuous management improvement and efficiency improvement supported by data. And realize the interoperability between virtual and reality. Through the deep application of technologies such as artificial intelligence and big data, based on the big data platform, through comprehensive perception, real-time analysis, intelligent decision-making, precise implementation and continuous improvement, the efficient operation of enterprise management can be realized. At present, all the customers the company serves are in the process of digital transformation and are carrying out intelligent exploration and practice. In view of the differences in products, process equipment, management concepts, management status and information foundation of different customers, their information needs are still in the same overall direction, but the landing details are at different stages. Although Weston products have developed to the third stage, there are still a large number of industrial software requirements in the first stage and the second stage in the customer base. Through years of product accumulation, Weston’s software functions are very modular and versioned, and it can meet the business needs of different customers and different stages by "ordering" and combining with system configuration, so the company’s products have strong adaptability and competitiveness among the customers in the tobacco industry. 对标国际最新生产管控类工业软件，报告期内公司工业软件产品的智能化升级迭代研发正在有序推进，此外，自威士顿创新研究院成立至今，在视觉识别、机器学习、知识图谱、数字孪生、工业机器人应用等领域应用取得了多项技术应用的突破，如基于时间序列的质量追溯、基于人工智能的烟丝入库堆垛机预测性维护和基于知识图谱的智能设备故障诊断、基于机器学习的烘丝桶干头水分预测控制、基于启发式算法的工业出库配载与线路规划调度等。这些研究帮助客户解决和突破了客户实现智能化生产过程中的生产瓶颈问题，相关模型可以嵌入自己开发的工业软件进行集成，使得公司的产品更具备生命力与竞争力。 公司在金融行业内，主要面向大型股份制银行和国家级金融机构提供大数据应用的相关产品与服务。在服务客户的过程中，公司持续将各个不同客户的服务需求进行了汇聚、总结和分析，挖掘用户方对于数据汇聚、管理和应用以及应用保障方面的核心需求，并据此开展了相关解决方案与产品的研发。目前，公司已经形成了一系列具有客户普适性的，行业领先的产品，在同类公司中具有一定的竞争优势。 （六）主要的业绩驱动因素 报告期内，公司主营业务、主要产品及主要经营模式未发生重大变化，主营业务收入占营业收入的比重为99.21%，公司业绩主要驱动因素是公司持续保持研发创新，工业软件产品的智能化程度提升，数据类产品和服务进一步拓宽，报告期内加强业务拓展，客户拓展成效逐步显现，及在此基础上实现主营业务的发展。 二、核心竞争力分析 （一）深耕垂直领域，多年积累形成一定的护城河 在工业领域，公司长期专注于智能制造相关产品的研发和实施，深耕细分市场，形成了以信息化管理与设备自动控制深度融合、多源数据采集、整理、分析应用为特色的智能制造整体解决方案，并在新一轮的数字化和智能化转型的信息化浪潮中，不断升级和发展自身的产品和解决方案，提供涵盖制造运营全流程的信息化产品及服务。在公司服务的客户所在的工业细分领域内，公司已经是该行业内头部企业的核心信息化供应商之一，公司产品适用度高，且业务集中在细分领域，实施人员的经验也可得到复用，能够保障所实施项目的成功，在行业内的信息化领域具有一定的行业知名度和影响力。 公司应用类核心技术主要围绕细分领域客户的具体业务展开，主要包括高级排程模型、质量预测模型、设备健康预测模型、物流调度模型等。该类核心技术应用到相关产品及信息化建设项目中，可以实现生产工艺智能参数优化、产品质量预测以及设备预测性维修等功能。通过业务事件智能感知，结合人工智能关联分析，协同管控生产各条线的智能化保障，包括生产资源保障、动力能源保障、物流保障、设备健康以及工艺保障等，可助力客户防范业务风险，帮助客户提高产品质量与生产效率。 在金融领域，公司提供专业的数据管理信息化服务，从业人员掌握行业领先的数据平台和数据处理与应用技术，将公司形成的数据汇聚、数据血缘关系管理、数据源变更时数据源自动化联结等核心数据产品理念，应用在用户服务现场，提升用户服务效率与用户体验，相比同业公司是公司核心竞争能力的体现。在数据平台监控管理、数据汇聚、数据加工和数据管理业务中，通过将服务内容的知识化，逐步形成了独具竞争力的成熟产品，可以保障按照产品设计理念向金融客户提供现场的数据服务。 公司采取与大数据平台产品厂商合作的策略发展自身的数据类产品和服务，合作厂商Cloudera的CDH、CDP产品目前是行业内应用最为广泛的大数据平台产品，公司是最早获取也是目前国内少数几个获得原厂金牌技术合作认证的合作伙伴之一。由于这类主流的大数据平台产品是基于Hadoop生态系统的产品，公司掌握的技术和产品可以在这类基于Hadoop生态系统的平台产品上应用和部署。 （二）与产业深度融合，具有良好口碑 凭借多年积累，威士顿对客户所处行业的特点有着较为深入的理解，可以为客户提供核心生产经营业务相关的信息化产品及服务。凭借技术及业务的持续创新，公司助力企业提升生产、经营过程中的信息化水平，为信息化与传统产业的深度融合做了有效的探索实践。尤其在细分烟草领域，公司深度参与客户的信息化建设，为企业生产经营改善和战略落地提供了有力的信息化支撑。 公司主要客户均来自于工业和金融业的大型央企和国企，客户资源具有质量高、可信度高、稳定性强等特征。公司一旦进入一个新的客户，通过提供可复制、可借鉴的高质量的产品和服务，可以持续开展服务，一方面将公司更多的产品与服务推向客户，另一方面依托多年的项目实施，各系列的软件产品落地，以及公司产品与产业深度融合，助力客户提升生产、经营的数字化、网络化、智能化水平，让客户取得了良好的社会效益和经济效益。 （三）长期培养形成复合型技术人才，具备专家品牌 在威士顿所处的软件与信息技术服务业，人才是公司重要的核心竞争力。公司始终高度重视且科学规划人才队伍建设，培养了一大批专业知识匹配、管理经验丰富的高素质复合型人才，形成了稳定、专业、行业经验丰富的管理团队。公司的核心技术人员，毕业于包括复旦大学、上海交通大学、同济大学、日本明治大学等国内外知名高校，具有丰富的学术理论基础，对行业前沿技术有深刻理解和掌握，具有丰富的开发和实施经验。 公司提倡匠心精神，通过长期的研发和生产积累，凭借有竞争力的产品和成功实施案例，不断扩大业务覆盖区域。通过长期培养“行业专家+技术专家”而积累形成的复合能力及由此构筑的竞争壁垒形成了企业竞争的护城河。 公司技术与研发人才梯队完整，人才引进、培养、激励、留人机制健全，坚持内部培养与外部引进相结合，在业务实践中持续培养了大批既精通专业技术又具备行业业务经验的复合型人才，通过员工晋升通道、制定职业生涯规划，为人才提供具有个人价值提升的事业平台及有成就感的职业生涯，研发动力充足，创新氛围浓厚。 公司在向客户提供服务的过程中，始终坚持专业技术人才深入用户一线了解实际应用场景需求，加速技术与应用适配的专家人才培养模式。公司在与客户沟通过程中，安排的专家人才，往往是既熟悉前沿技术，又熟悉客户行业发展方向，同时又充分了解应用场景的复合型人才，往往能够促成与客户方的进一步深入合作。 （四）核心软件产品，自主研发、安全可控 MOM、ERP等工业软件是承载制造业企业管理流程与管理模式的载体、是实现精细化的过程管控、实现全面业务数字化管理的基础。虽作为制造业大国，但是国内的工业软件市场还是被GE、西门子、罗克韦尔、SAP、Oracle、达索等国外公司的软件占据了绝大部分的份额。近年来，国家从工业安全的角度一直在引导整个工业软件转向国产化软件的方向，大型制造业企业核心工业软件的国产化是大势所趋，威士顿应用自身在工业领域的知识沉淀，结合了实际工业生产经验，借鉴了早些年应用国外工业软件的经验，将工业企业的流程、机理、模型、组织等进行了总结与开发，形成了自身的工业软件产品。并在核心的MES、PLM等业务领域，成功的帮助客户逐步实现了国产化的替代，不仅解决了国外软件可扩展性较弱、服务跟不上的问题，还为客户降低了软件的采购和实施成本。国产替代后的系统经过多年的运行验证，各项性能指标均能达到客户要求，具备较好的稳定性、安全性和可扩展性。 在人工智能、大数据、云计算、物联网等新兴技术领域内，威士顿应用自身的技术优势，利用对制造业和金融业领域应用场景熟悉的优势，第一时间开发出了以这些技术应用为核心的自主产品，包括无序分拣机器人、基于设备运行状态的运行维护、数据门户管家、星河系列数据产品等等，完全具备自主可控的信息安全要求。 （五）长期自主研发，持续积累技术储备 多年发展历程中，公司始终坚持自主创新，在稳健经营的过程中，持续对前沿信息技术跟踪和投入。经多年持续投入研发和项目实施，公司紧跟行业技术的发展趋势，具备较为成熟的技术基础与研发实力。公司参与起草及制定了两项国家标准。报告期内，公司的核心工业软件产品入选2022年上海市工业软件推荐目录，新增软件著作权登记9项，截至报告期末，公司获授5个发明专利，2个实用新型专利，登记软件著作权115个，发表专业论文1篇。 公司长期耕耘工业领域，在细分领域形成了一系列工业机理模型嵌入在工业软件产品中，例如，高级排程算法模型、生产过程质量预测模型、设备健康性预测模型、物流调度模型等。另外，随着软件整体设计理念的进步，软件产品的设计理念也在持续的发展和进步，公司已经将原有的基于SOA的产品框架，进行了相应的重构升级，形成了基于微服务和前后端分离设计理念的整体开发技术架构。 公司核心算法模型与组件的创新性体现如下： 威士顿高级排程算法模型，围绕企业的产品工艺路径、工厂工艺装备链路、工厂生产布局模式、设备的工艺能力、生产组织模式、产品生产与组装定义、生产成本模型等等可能影响生产排程的关键因素，综合运用线性规划、分支定界、遗传算法和启发式算法，建立起适用于特定行业复杂工序的排程算法，实现了有限产能条件下的交期预测、产能平衡、成本控制，制定详细到加工中心颗粒度的生产任务，确保生产过程中人、机、料的合理配备和衔接，从而提高生产效率和柔性应变能力，发挥最大生产能力。 无序分拣算法模型，基于卷积神经网络（系机器学习的一种模型，通过参数共享等方式，能够以更小的计算量，更快、更高效地进行机器学习）、随机森林（系机器学习中的一种算法模型，用大量的随机数据，构建“决策树”的训练方式，从而提升机器决策的准确性）和机器视觉的混合网络技术，结合工业机器人控制技术，经过大体量样本数据的学习训练，并通过模拟实际生产环境下的试验，对算法模型反复优化调整，成功研发出可适用于工业原料无序分拣过程的智能机器人。 质量预测模型，对设备运行中的过程数据运用筛选降维、相关性分析、数据对齐等技术进行清洗，应用各类算法（GBDT、LSTM、Lasso算法）建立包含人工干预信息的质量预测模型和用户操作模型，最终构建形成了可用的产品质量预测模型，实现对产品质量波动趋势的分析，从而指导质量控制调节。 物流调度模型，对应多地多工厂生产过程中，结合生产任务安排，在多仓储组织之间进行物流调运，并考虑运输过程中的物流成本，运输路况等因素，形成的快速高效进行生产物流调运保障的算法模型，以在最优成本的前提下保障生产物料的即时供应。 知识图谱，通过数据模型，构建庞大的“知识”网络，包含物体构成的“实体”以及它们之间的“关系”，图文并茂地展现知识方方面面的，让人们更便捷地获取信息、找到所求。其核心是将人与知识智能地连接了起来，让人智能获取知识。主要借助NLP技术将蕴含在非结构化中实体、对象、内容等信息抽象为一个个的节点对象，通过知识的抽取、融合、知识推理、知识更新，并用通过图型方式进行展示，让人快速获取相关知识。 数字孪生，是应用3D建模、物联网、虚拟仿真等底层技术，将物理世界的实体对象映射到计算机虚拟世界中的一种融合技术。它通过以虚拟模型映射物理世界实体对象、实现虚拟模型与物理模型实时互通互动、以及在虚拟世界中进行仿真生产、运行等，使得数字孪生能够为实际的物理世界的管理、运行、监控、预测发挥可视、集中汇聚、模型预测仿真等功能。在提升管理效率的同时，也可以实现降低物理世界实际测试成本的功能。 （六）稳定的行业客户资源及示范效应优势 公司以“为客户提供有价值的产品与服务”为发展根本，在所从事业务领域内，能够快速的将最新的技术，应用于客户亟需解决的实际问题或者用于客户的管理与运营改进之中，使技术发展真正助力客户业务的发展，在其提升效率、降低运营成本过程中起到作用，将技术能力在产业中变现。 公司在二十多年的发展历程中，以掌握的专业技术能力和对行业深入理解和洞察，持续的为烟草工业和金融等行业客户提供满足其特定需求的信息化系统解决方案及相关产品与服务，使客户在与供应商合作过程中，大大降低了沟通管理成本，获得了双赢的良好结果。众多成功应用案例和拳头产品在行业内形成了良好口碑和客户信任度，使公司与业内众多有影响力的优质客户形成了长期合作关系，形成了较强的客户资源优势和用户粘性。公司服务客户皆为细分领域的头部客户，为公司开拓新的客户提供了良好的示范效应。 （七）融入生态，与生态内的厂商保持良好合作 近年来公司高度重视渠道资源和产业生态培育和建设，积极加强同IT业界头部企业的广泛合作，积极的融入华为、阿里等国内新兴IT领军企业的生态，已经获取相应的能力认证与合作资质，核心产品能够部署运行在华为、阿里的云平台之上；公司的产品也进行了其他国产化的适配与测试，能够在国产化的主流服务器、数据库和中间件之上稳定运行，满足目前国产化的整体要求；同时也在持续与Intel、Cloudera、微软、英伟达等国外厂商保持良好合作关系。公司的产品在这些国内外公司的软硬件平台上通过了测试与运行验证，为客户选择公司的产品提供了基础的信任保障。 （八）经验优势和管控优势，保障项目交付，有效控制实施成本 威士顿作为专业的软件产品和服务提供商，经过多年的发展，在细分领域积累了一系列成功案例，培养了专业化的开发实施团队，在细分行业具备一定的品牌影响力。公司以其丰富的行业经验助力工业领域客户的数字化转型和智能化升级，在制造运营管理、企业资源管理、数据管理等产品领域具备大量成功实施案例。 公司通过在行业中长期积累的项目实施经验，获得了一批与开展相关业务的相关资质，如CMMI5级评估认证和ISO20000IT服务管理体系认证等资质。其中，CMMI即软件与集成能力成熟度模型，是全球最先进和科学的软件工程管理模型与方法，是衡量软件企业能力成熟度和项目管理水平的权威标准。CMMI5级 是最高等级的认证，也是目前世界范围内针对软件能力成熟度最权威、级别最高的评估之一。CMMI5的成熟度规范模型的应用，是公司对项目管控、实现产品和服务高质量交付的重要保障： 三、公司面临的风险和应对措施 （一）营业收入的季节性波动风险 公司所处行业具有一定的季节性，下游客户的信息化采购和项目验收及回款具有一定的季节性波动。客户通常在上半年对当年的实施的信息化系统立项、采购和实施，项目验收和结款相对集中在第四季度，受此影响，公司的营业收入也表现出相应的季节性波动特征，下半年收入比重通常高于上半年，公司收入存在季节性波动风险。上述情况符合公司业务特点以及行业特征。 公司将按行业发展规律，积极参与行业客户的商机沟通及招投标活动，稳步推进在建项目的实施进度，确保项目验收和交付，预计下半年度的新签合同及营业收入较上半年将有明显提升。 （二）人力成本增加带来的业绩下滑风险 公司所处行业是一个技术知识、人力资本密集型行业，公司软件开发和运维服务业务最主要的经营成本就是人力成本，占该类业务成本超过60%。近年来，国内人力成本总体呈现上涨趋势，行业内对于人才的需求竞争推高了高端人才的整体薪酬水平。如果人力成本上涨过快，将使公司业务面临毛利下降风险，削弱公司整体盈利水平。 公司历经多年打磨的开发平台，降低了对开发人员的要求，同时公司正逐步集成Copilot开发类大模型工具，提升技术人员的开发效率，有望减缓人员总数及薪酬增长带来的成本上升压力，促进毛利率水平保持稳定。 （三）业务拓展存在不确定的风险 新区域和新应用领域的拓展将对公司的技术实力、产品质量、服务能力以及综合管理提出更高的要求，公司在拓展新的市场过程中势必将投入更多的资源，但能否成功获客存在一定的不确定性，这将给未来经营带来一定风险。 公司一方面持续投入研发，在对现有工业软件进行智能化升级的同时，还围绕工业视觉、机器学习等AI新技术解决客户实际生产场景中的瓶颈问题，通过“咨询+软件+科技研究”的方式奠定公司的竞争优势，另一方面，在拓展业务的过程中有的放矢，紧紧围绕公司的优势业务领域开展，如卷烟的技术研发、生产、物流等，以及金融行业基于大数据平台基础上的数据服务领域。 （四）业务及订单下降的风险 随着客户企业管理要求的提升、业务流程的变更使对工业软件的需求也会相应变化，同时新技术的兴起对各行各业也产生了颠覆性的影响。且应用软件行业发展迅速，技术迭代快，如公司无法紧跟客户的需求变化，或不能持续准确地把握技术、产品、市场和行业的发展趋势，不能及时将新技术运用于产品开发和升级，则公司未来持续发展经营将会受到一定程度的不利影响。 公司通过研发和实施项目的联动，确保产品贴近需求和市场，同时保持开放心态，与相关厂商、生态友商、研究机构、行业协会技术等建立合作，资源共享技术互助，以此保持技术迭代更新。公司将充分利用募集项目资金，保持产品持续迭代升级，通过提高产品智能化程度，加强产品竞争力的同时，加大市场推广和拓展，让产品触达更多客户。 （五）行业政策变化风险 公司业务发展受国家对软件行业支持性政策及行业发展趋势的影响，同时受客户所处行业的信息化发展政策和规划影响。受益于智能制造、工业4.0等信息化行业发展趋势、国产化替代，以及行业信息化和智能化发展等因素的影响，公司业务发展较为顺利，业绩稳步增长。如果未来相关行业对软件行业的支持政策或支持力度发生变化，将会对公司未来的经营业绩造成一定程度的影响。 公司将对政策保持关注，及时了解政策变化的动态，分析政策变化对企业的影响，可快速制定相应的应对措施。同时在两到三个行业进行业务拓展，降低对单一行业的依赖，分散风险。 （六）核心团队流失的风险 软件行业属于技术知识、人力资本密集型行业，技术人员尤其是核心技术人员对公司的产品创新、持续发展起着关键作用。但公司所在的信息化行业普遍面临人才短缺，人员流动较为频繁的状况，未来公司是否能保持核心技术团队的稳定，构成了公司经营过程中潜在的人才风险。 公司建立了比较完善的人才管理体系，采取了一系列吸引和稳定技术人员的措施，包括核心人员股权激励、保持技术人员薪酬竞争力、提高福利待遇、提供培训、创造良好的工作和文化氛围等，在保持现有核心技术团队稳定的同时，也在市场招募和补充吸纳新鲜血液，形成人才梯队培养机制，为公司发展储备和培养所需的技术和管理人才。 四、主营业务分析 报告期内公司项目推进、交付和验收情况良好，公司实现营业收入12,385.23万元，毛利4,579.90万元，较上年同期分别增长6.59%和7.91%。公司利润主要来自于软件开发及运维服务业务。报告期内软件开发及运维服务收入和利润均有上升，实现软件开发及运维服务收入6,625.87万元，毛利3,853.16万元，与上年同期相比，分别增长了10.73%和9.86%。系统集成及软件产品销售及服务实现收入5,661.92万元，毛利727.11万元，与上年同期相比，收入上升1.68%，毛利下降1.25%。 报告期内来自工业客户的收入8,467.37万元，同比下降1.27%，来自金融行业客户的收入3,820.42万元，同比上升28.37%。公司近年来加大数据类业务在金融行业的拓展，加之金融客户的软件业务大都定期按实结算作为收入确认依据，相较于工业客户的软件业务以项目终验时点确认收入的模式，金融客户从新签合同到收入结算周期较短，因此金融客户收入在报告期内的增速较为明显。 公司根据自身发展的战略布局和客户所处行业的发展趋势，积极推进业务拓展，在上海、湖北、江苏、广东、浙江、河南、黑龙江、贵州等地组织资源投入，参与客户新项目的方案规划和论证，探索新技术应用的创新项目应用落地，随着拓展步伐加大，公司报告期内销售费用有较大幅度上升，主要是职工薪酬、业务招待费和差旅费增加所致。 上半年公司获得了海丰航运智能仓储集装箱堆场项目、某中烟公司PLM项目、二维码管理、智能车间管理、数字化生产计划管理应用、生产层数据类采集及应用及金融行业客户的大数据平台集群管理及数据开发等合同。报告期内新签合同7,700.92万元，较上期下降14.15%。其中工业客户新签合同5,519.60万元，同比上升7.32%，金融客户新签合同2,181.33万元，同比下降43.01%。金融客户新签合同下降主要是金融行业客户部分大项目的招标在报告期末尚未完成。预计2023年全年的新签合同与往年相比保持稳定态势。 产品研发方面，公司围绕大数据的运维、开发服务，研发一系列工具产品，在大数据智能管理门户基础上，开发数据服务工作平台、数据质量监控平台等。工业方面，在人工智能领域持续进行技术应用探索和研究，加快提升核心工业软件产品的智能化升级，同时对产品进行云化解构，构建“威士顿云MES+华为云”的行业解决方案。报告期内公司加大研发投入，研发费用较上期增加10.94%。报告期内公司发布了9项软件著作权，新提交发明专利3个，外观设计专利3个。
