MES system automation line
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The system adopts a distributed real-time database structure, and each refinery covered by the project is configured with an independent real-time database. Refining and chemical companies obtain data from various branches, establish real-time databases of the company, and form various application systems. With the development of control technology, computer technology, and network communication technology, the demand for large-scale information sharing in enterprise integrated automation systems is becoming increasingly urgent, which puts forward higher and higher requirements for the openness of industrial control systems. However, traditional DCS and other systems widely used in the industry are difficult to interconnect and interoperate with systems or instruments from other manufacturers due to the use of customized dedicated networks and protocols and the lack of unified interface standards. Each manufacturer has its own system, and the "information island" formed by it is difficult to exchange data with the outside world. Establishing an enterprise data integration platform is an urgent requirement for establishing enterprise informatization, while real-time databases are the foundation of comprehensive automation in process industry, and are of great significance for the continuous improvement of enterprise production and operation, cost accounting, material tracking, quality management, and other businesses. In the face of this situation, Shaanxi Yanchang Petroleum Group Refining and Chemical Company adopts a production execution management system (MES) for the process industry. Through this MES, you can master the production planning, operation management, production execution, and production statistics of the enterprise in real time; Integrate various aspects of production information to provide scientific basis for enterprises to rationally allocate resources and timely adjust production plans and business strategies. Through the implementation of information systems, improve production processes, optimize business processes, and further reduce costs.
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