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At the seminar on the key development directions for the 15th Five-Year Plan in the petrochemical industry, Liu Siming, head of the Chemical Park Division/Comprehensive Evaluation Division at the Petroleum and Chemical Industry Planning Institute, presented \"Approaches and Solutions for the Intelligent Management and Operation of Chemical Parks.\" This AI-driven management system, which addresses real-world challenges and is practical to implement, sparked extensive discussion among the attendees. This solution addresses the key challenges faced by current chemical industrial parks in the five areas of investment attraction, environmental protection, logistics management, safety assessment, and equipment maintenance. By establishing intelligent modules across the entire value chain, it offers a new approach for the high-quality development of these parks. The pain points are evident: traditional management methods are inadequate to meet the demands for greater precision. Over the past decade, chemical parks in China have seen a significant improvement in their overall management standards through certification, smart construction, and safety risk assessment. However, as the industry places increasing demands on safety, environmental protection, and efficiency, long-standing problems have gradually become more apparent, turning into obstacles that hinder the development of these industrial parks. In the process of attracting investment, although general-purpose large models can search for information on potential companies, it is difficult to achieve an accurate match between the industrial focus of the park and the investment needs of these companies due to the dispersion of data ； In the field of environmental protection, 60% of unorganized emissions are not effectively controlled; it is difficult to monitor and accurately trace sources of volatile organic compounds (VOCs) that escape due to leaks, as well as high-concentration exhaust gases that occur during abnormal operating conditions such as maintenance work ； In logistics management, the safety risks associated with transportation within hazardous chemicals parks, as well as the inefficiencies in the supply chain for purchasing small-scale chemical products, directly affect operational safety and production costs ； In terms of safety management, it is difficult to implement more than 300 **relevant safety standards, leaving the park in a passive situation where it does not know how to make corrections or whether those corrections have been properly carried out ； In terms of equipment operation and maintenance, small and medium-sized enterprises face significant challenges due to the large number of devices they have and the wide variations in their conditions, making it difficult to ensure real-time oversight. Safety incidents caused by equipment aging represent a major source of pressure. “These pain points are not new issues, but traditional management methods have reached their limits in terms of efficiency and accuracy. ”Liu Siming emphasized that deeply integrating AI into the entire process of park management is the key to overcoming these challenges. Five intelligent modules: Building a new system for park operation. Intelligent investment promotion: Creating a \"fast track\" for matching supply and demand. The \"Park-Enterprise Link\" system comprises four sub-modules – finding enterprises, evaluating projects, identifying parks, and a dynamic knowledge base – to form a closed-loop service system. The R&D team conducted specialized fine-tuning of the large-model algorithms, transforming the key dimensions used by industry experts to assess compatibility into quantitative metrics that were incorporated into the program. By entering the information of the target products in the platform, the system can quickly filter and provide a list of companies that match precisely. “In the past, it might have taken a week for the park to identify 10 suitable companies, but now it can be done in half a day, with higher accuracy in the matching process. ”Liu Siming explained. “The “Project Evaluation” module uses an AI model to quickly generate evaluation conclusions based on seven dimensions such as policy compliance and product market prospects, meeting the needs for preliminary assessments ； Major projects can still rely on expert teams for in-depth analysis, thereby achieving a balance between key and less critical aspects. “The “Find a Park” module is designed specifically for enterprises investing across regions, offering intelligent matching to recommend suitable locations. The dynamic knowledge base integrates the industry data assets of planning institutes, captures information on policies, markets, and more in real time, to ensure continuous data updates. Control of unorganized emissions: Creating a \"closed-loop system\" for environmental protection. As legislative regulations regarding VOCs become more stringent, higher demands will be placed on pollution control capabilities in the future. The “Yuanshitong” platform developed by the Planning Institute establishes a comprehensive control system for unorganized emissions through \"AI-based monitoring, dynamic databases, and closed-loop management.\" The detection end utilizes AI video management technology to enable visual monitoring of the entire operation process by the inspectors as well as provide standardized guidance ； The R&D team incorporated hundreds of rules for determining unorganized emissions into the algorithm; the system then carries out automated data analysis to generate solutions for mitigation. The platform creates a dedicated dynamic database for each enterprise, enabling vertical historical comparisons and horizontal benchmarking. “For example, if a company’s VOCs emission levels suddenly drop by 30%, the system will automatically retrieve maintenance records and raw material data, and compare them with those of similar companies to identify any abnormalities. ”Liu Siming gave an example. Closed-loop management enables enterprises to regularly submit emission plans and maintenance schedules; at the same time, smart sensors are used to monitor temporary emissions in real time, generating alerts and correction forms automatically when excess levels are detected. For industrial parks concentrated with small and medium-sized enterprises, it is recommended to establish \"waste gas treatment centers for abnormal operating conditions\" to address uncontrolled emissions at a low cost through a centralized treatment approach. Smart logistics: Driving the “safety upgrade” of the transportation system. The core idea of this approach is to move from within individual enterprises to the entire industrial park, and from single-mode transportation to supply chain integration, by extending the enterprise’s smart logistics systems to the industrial park and drawing on internet-based supply chain management models. The system integrates eight sub-modules such as order management and warehouse scheduling, enabling oversight of the logistics activities within the park through \"order-based management\". After the enterprise submits a request, the system automatically matches resources and schedules vehicles (giving priority to unmanned devices), while tracking the shipment process throughout to ensure traceability. Enterprises interact dynamically with the park’s logistics center to achieve \"seamless supply and demand coordination and efficient collaboration.\" “With the widespread use of unmanned transportation devices, the number of vehicles used for transporting hazardous chemicals and manual operations will decrease significantly, thereby reducing safety risks and costs. ”Liu Siming said that some pilot parks have introduced driverless transport vehicles, which are operating stably. Safety risk diagnosis: To fill the gap in the implementation of standards, the research and development team at the planning institute has created a safety risk diagnosis module that offers precise solutions by leveraging AI to harness expert experience, dynamically matching standards, and generating intelligent plans. The module’s backend integrates over 300 **security standards and a vast number of cases, transforming expert interpretations into algorithmic models. After the work archive is established in the park, the system automatically generates an self-inspection checklist to guide on-site inspections. Equipped with smart devices to enable automatic data collection and analysis ； Manual data entry also allows for quick comparison with standards, enabling the generation of a list of corrective actions along with priority recommendations. “The system will indicate that a fault in the level gauge in the tank area represents a high risk, and corrective action is required within 24 hours ； Debris in fire exits poses a medium risk and requires clearance within 72 hours to help allocate resources scientifically. ”Liu Siming explained. The module also offers functions such as safety training and emergency plan generation, addressing the shortcomings of traditional platforms in terms of applying expert experience. Equipment health monitoring: Building a robust \"security barrier\" for small and medium-sized enterprises. The Planning Institute’s intelligent equipment management platform creates a two-tier supervision framework of \"enterprise–park\", breaking down the information barriers between equipment status and security management. The platform includes five functions: safety standardization diagnosis, information integration, supervision of maintenance processes, comprehensive operational evaluation, and risk early warning for key equipment. “The platform enables the park to shift from ‘passively responding to accidents’ to ‘proactively preventing risks’. ”Liu Siming explained. Advance according to local conditions: jointly create a smart future for industrial parks. “There is no one-size-fits-all solution for the smart transformation of chemical industrial parks; it is necessary to adapt approaches to local circumstances.” ”Liu Siming emphasized that different types of industrial parks should identify key areas for breakthroughs: industrial parks where large enterprises are concentrated can prioritize the adoption of smart investment promotion strategies ； Industrial parks with a high concentration of small and medium-sized enterprises should strengthen the monitoring of unorganized emissions and equipment ； Parks with high logistics demand can take smart logistics as a starting point. Liu Siming pointed out that database construction is the “foundation project” for intelligent transformation, and every industrial park and enterprise should attach importance to the accumulation of data assets. Currently, the Planning Institute has launched the “Smart Park Co-creation Initiative” to continuously improve the functions of the system, and is inviting more parks and enterprises to join in in order to enhance the solutions. “The intelligent transformation of chemical industrial parks is a long-term process that requires the joint efforts of all stakeholders in the industry. ”Liu Siming said that with the development of AI technology, park management will become more intelligent, precise, and efficient in the future. The planning institute will continue to leverage its technical and data advantages to provide solid support for the high-quality development of the industry.