登录新浪财经APP 搜索【信披】查看更多考评等级 证券代码：688777 证券简称：中控技术 公告编号：2025-037 本公司董事会及全体董事保证本公告内容不存在任何虚假记载、误导性陈述或者重大遗漏，并对其内容 的真实性、准确性和完整性依法承担法律责任。 重要内容提示： ● 回购股份金额：不低于人民币50,000万元（含），不超过人民币100,000万元（含）。 ● 回购股份资金来源：公司自有资金及超募资金（含利息）。 ● 回购股份用途：用于实施股权激励及/或员工持股计划。 ● 回购股份价格：不超过人民币68.81元/股（含），该价格不高于董事会通过回购股份决议前30个交易 日公司股票交易均价的150%。 5、存在后续监管部门对于上市公司股份回购颁布新的规定与要求，导致本回购方案不符合新的监管规 定与要求，从而无法实施或需要调整的风险； 6、公司将在回购期限内根据市场情况择机做出回购决策并予以实施，并将根据回购事项进展情况及时 履行信息披露义务，敬请广大投资者注意投资风险。 一、 回购方案的审议及实施程序 （一）中控技术股份有限公司（以下简称"公司"）于2025年10月24日召开了第六届董事会第十五次会 议 ...

Core Viewpoint - The core feature of "Lighthouse Factories" is the large-scale application of IoT, AI, and big data analytics, significantly enhancing production efficiency and resource utilization while achieving breakthroughs in sustainable development [1] Policy Support - The government is vigorously supporting the development of industrial AI through a series of policies aimed at promoting the intelligent transformation of manufacturing to enhance national competitiveness [1] - The State-owned Assets Supervision and Administration Commission (SASAC) has deployed the "AI+" initiative, which includes multiple approaches such as R&D and application of large models, promoting high-value scenario applications, enhancing intelligent computing power supply, and strengthening element support [1] - The Ministry of Industry and Information Technology (MIIT) has released the "Implementation Plan for Promoting Equipment Updates in the Industrial Sector," which further details policy requirements to promote the intelligent and digital transformation of industrial equipment [1] Technological Development - The MIIT and seven other departments have issued the "Implementation Opinions on Promoting Innovation and Development of Future Industries," emphasizing the need to break through key technologies for humanoid robots and promote their widespread application in intelligent manufacturing [1] - The integration of humanoid robots with AI technology aims to form core competitiveness with independent intellectual property rights [1] Company Initiatives - The company is actively participating in the construction and development of AI-driven "Lighthouse Factories," innovating and fully implementing a new industrial AI-driven enterprise intelligent operation framework of "1+2+N" [1] - The company is applying advanced products and technologies such as the Universal Control System (UCS), Time Series Large Model (TPT), million-point real-time database, and online calorific value analyzer to help enterprises build globally leading smart factories and create world-class industry benchmark projects [1] - The company plans to continue deepening innovation and application in industrial AI to assist more enterprises in achieving intelligent transformation [1]

Core Viewpoint - The core feature of "Lighthouse Factories" is the large-scale application of IoT, AI, and big data analytics, significantly enhancing production efficiency and resource utilization while achieving breakthroughs in sustainable development [1] Group 1: Government Policies and Support - The government is vigorously supporting the development of industrial AI through a series of policies aimed at promoting the intelligent transformation of the manufacturing industry to enhance national competitiveness [1] - The State-owned Assets Supervision and Administration Commission (SASAC) has deployed the "AI+" special action plan, which includes multiple approaches such as R&D and application of large models, promoting high-value scenario applications, enhancing intelligent computing power supply, and strengthening element support [1] - The Ministry of Industry and Information Technology (MIIT) has released the "Implementation Plan for Promoting Equipment Updates in the Industrial Sector," which further details policy requirements to promote the intelligent and digital transformation of industrial equipment [1] Group 2: Company Initiatives and Innovations - The company is actively participating in the construction and development of AI-driven "Lighthouse Factories," innovating and fully implementing a new industrial AI-driven enterprise intelligent operation framework called "1+2+N" [1] - The company is applying advanced products and technologies such as the Universal Control System (UCS), Time Series Large Model (TPT), million-point real-time database, and online calorific value analyzer to help enterprises build globally leading smart factories and create world-class industry benchmark projects [1] - The company will continue to deepen innovation and application in industrial AI to assist more enterprises in achieving intelligent transformation [1]

Core Insights - The industrial embodiment intelligence solution developed by Zhongkong Technology, utilizing the TPT time series model and UCS general control system, has been successfully implemented at Hubei Xingrui Chemical, transforming the chlor-alkali production process into an automated and intelligent operation [1][2] - This solution marks a significant leap from "tool assistance" to "autonomous operation" in industrial intelligence, addressing the unique challenges of continuous, high-risk, and tightly coupled processes in the chemical industry [1] Group 1 - The solution enables the complete takeover of the chlor-alkali production process, allowing for automatic identification of process parameter fluctuations and timely adjustments, thus eliminating the need for manual monitoring by engineers [1] - The industrial embodiment intelligence system supports rapid response to process and equipment issues through natural language interaction, automatically generating key performance indicators and data dashboards to support real-time decision-making [1] Group 2 - UCS employs an all-optical network communication system, replacing five traditional control systems at Hubei Xingrui, resulting in savings of over 40 million yuan in cabling and construction costs, with a 67% increase in efficiency [2] - TPT utilizes multimodal data analysis, trend prediction, and optimization calculations to maintain the concentration of the main product, caustic soda, within a precise range of 32% to 32.1%, optimizing raw material consumption and enhancing product quality and system efficiency [2]

Core Insights - The implementation of "Industrial Embodied Intelligence" by Zhongkong Technology at Xingfa Group marks a significant advancement in industrial AI, achieving a closed-loop empowerment from "virtual thinking" to "physical execution" [1] Group 1: Technological Advancements - The integration of the time series large model TPT with the Universal Control System UCS has enabled the automation of production equipment and intelligent process control [1] - This technology transition supports the digitalization of factory management and data-driven decision-making [1] Group 2: Efficiency and Cost Benefits - The initiative has resulted in over 90% efficiency improvement, a 60% reduction in construction costs, and a production efficiency increase of 1%-3% [1] - This development signifies a shift in the industry from the "automation" phase to a new "autonomous" stage [1]

Core Insights - The application of digital intelligence technology in the energy and chemical industries shows significant potential, with predictive maintenance accuracy reaching 90%, a 20% reduction in manual inspection time, and software investment costs decreasing by 50% to 80% [1][4] Group 1: Industry Transformation - The industry is undergoing a critical transformation, focusing on leveraging digital intelligence technologies to address complex production challenges and enhance operational efficiency [2] - The integration of AI and big data in the chemical sector is exemplified by the Kunlun AI model developed by China National Petroleum Corporation and Huawei, which aims to rejuvenate the oil and gas industry across various domains [2] Group 2: Operational Efficiency - Companies like Guizhou Phosphate Chemical have achieved significant results in energy consumption optimization and resource recycling through AI-driven models [3] - The accuracy of predictive maintenance has reached 90%, and the efficiency of standard operating procedure (SOP) document reviews has improved by 50%, significantly reducing human labor input [3] Group 3: Collaborative Innovation - Huawei's collaboration with various industry partners has led to the development of innovative industrial AI solutions that cover multiple core scenarios, resulting in substantial business value [4] - The introduction of the NIICA SPE network solution aims to enhance data transmission capabilities while reducing resource consumption, showcasing the potential for improved operational efficiency [5][6]

Core Insights - The conference titled "Releasing AI Efficiency, Co-creating Growth Paradigms - 2025 Industrial Embodied Intelligence TPT+UCS Application Results Exhibition Conference" was held in Yichang, showcasing the application results of the TPT and UCS systems developed by Zhongkong Technology [2] - Zhongkong Technology is a leading enterprise in China's industrial automation and intelligent manufacturing sector, focusing on innovation and technology to drive the intelligent transformation of process industries and promote green transformation [3] - The collaboration between Xingfa Group and Zhongkong Technology began in 2022, leading to significant advancements in digital transformation and the establishment of model factories in the chemical industry [3][4] Company Developments - Xingfa Group has successfully implemented Zhongkong Technology's advanced intelligent control systems, achieving "unmanned inspection, unmanned operation, and unmanned recording," and was recognized as a "National Intelligent Manufacturing Demonstration Factory" [3] - The 400,000 tons/year organic silicon new materials project in Yichang, utilizing Zhongkong Technology's control systems, has become the first fully integrated intelligent factory for organic silicon in China, significantly enhancing production efficiency [3] - The partnership aims to deepen collaboration in areas such as smart mining, intelligent factory construction, safety and environmental management, and smart supply chain coordination, exploring innovative applications of industrial AI in chemical production [4] Industry Trends - AI is profoundly changing industrial forms, and the integration of AI technology is becoming crucial for chemical companies to enhance their core competitiveness [4] - The conference served as a high-level platform for thought exchange, technical communication, and collaborative opportunities among upstream and downstream enterprises in the industry, aiming to accelerate the deep integration of AI technology with industrial scenarios [4]

Core Insights - The conference held in Yichang showcased the application results of the "embodied intelligence" system in the process industry, developed by Zhongkong Technology, focusing on the TPT time series model and UCS general control system [2][3] - The chemical industry is undergoing a transformation driven by industrial AI, which is reconstructing production processes, operational systems, and safety governance models, promoting intelligent, green, and integrated industrial upgrades [3][4] Company Development - San Ning Chemical has evolved from a small fertilizer plant to a large chemical enterprise with over 7,000 employees and fixed assets of 30 billion yuan, successfully transitioning from traditional chemical manufacturing to intelligent manufacturing [4] - The company established an intelligent factory promotion office in 2016 and initiated a comprehensive digital transformation in 2018, leading to significant improvements in operational efficiency [4] - In 2023, San Ning Chemical achieved key milestones in digital transformation, with AI empowerment in ethylene glycol and caprolactam units, increasing product quality rate from 95% to 99% and self-control utilization rate from 90.5% to 99% [4] Collaboration and Future Goals - The partnership with Zhongkong Technology has been crucial in implementing AI technologies in production lines, exemplified by the unmanned monitoring system for the sulfuric acid unit [5] - Looking ahead, San Ning Chemical aims to build a "full-process, full-lifecycle intelligent factory" and deepen the integration of AI with the real economy, striving to lead in efficient, safe, green, and intelligent development within the industry [5]

Core Insights - The release of AI technologies, particularly the DeepSeek R1 model, has significantly lowered the cost of deep thinking models, leading to widespread adoption of AI across various sectors [1] - The Chinese government has accelerated the penetration of AI into multiple industries through the "Artificial Intelligence+" initiative [1] - The industrial AI market in China is projected to exceed 120 billion yuan by 2025, with a compound annual growth rate of 28.6% [1] Industrial AI Development - The consensus in the industrial sector has shifted from questioning the integration of AI to increasing investments in AI technologies [3] - Major companies have launched various industrial AI models, including those from iFLYTEK, China Unicom, and China Mobile, indicating a competitive landscape [3] - The TPT model developed by Zhongkong Technology has demonstrated significant efficiency improvements in industrial processes, such as reducing pH adjustment time by over 80% [3][4] Industrial AI Agents - Industrial AI Agents are emerging as the optimal form for implementing AI in industrial settings, characterized by autonomous perception, cognition, decision-making, and learning capabilities [4] - The global industrial intelligence market is expected to surpass 3.5 trillion yuan, with China holding over 40% of the market share [4] - The TPT 2 model represents a paradigm shift, enabling autonomous decision-making and optimizing production processes [9][10] Market Response and Adoption - Zhongkong Technology has established a strong presence in the industrial AI sector, serving over 37,000 clients and deploying more than 100,000 industrial control systems [5] - The TPT model has received significant market recognition, with 518 pre-orders and 112 confirmed transactions following its launch [16] - The establishment of the "Industrial AI Data Alliance" aims to create a collaborative ecosystem for data sharing and security, enhancing the value of industrial data [18] Financial Performance - Zhongkong Technology reported a revenue of 9.139 billion yuan in 2024, with a year-on-year growth of 6.02%, and a notable increase in industrial software revenue by 20.7% [19] - The gross margin for industrial software has significantly improved, reaching 54.03% in the first half of 2025, up from 31.67% in the previous year [19] - The company is positioned as a leader in the industrial AI sector, with its platformization strategy driving growth and innovation [21]

Financial Performance - Company reported total revenue of 3.83 billion yuan for the first half of 2025, a decrease of 9.92% year-on-year [1] - Net profit attributable to shareholders was 354 million yuan, down 31.46% year-on-year [1] - Gross margin was 32.08%, a decline of 3.47% compared to the previous year [1] - Net margin decreased to 9.29%, down 24.59% year-on-year [1] - Total receivables reached 3.71 billion yuan, an increase of 25.12% year-on-year, with receivables accounting for 332.24% of net profit [1][4] Business Model and Strategy - Company relies heavily on research and development to drive performance, focusing on industrial automation and safety management [3][6] - The introduction of the TPT model aims to enhance proactive risk management in the energy and chemical sectors [6][11] - Company is expanding its industrial IoT technology to facilitate smart transformation in process industries [7][8] Recent Developments - Company launched the Plantbot robot solution, which has shown significant application results in hazardous environments [9] - TPT model has been successfully implemented in various industries, achieving substantial operational efficiency improvements [10][11] - Upcoming release of TPT 2.0 aims to integrate multiple technologies for enhanced decision-making capabilities [10] Market Position and Investor Interest - Major funds have increased their holdings in the company, indicating positive market sentiment [5] - Analysts project the company's performance for 2025 to reach 1.211 billion yuan, with an average earnings per share of 1.53 yuan [4]