| Providing the energy and metallurgical raw materials for the national economy, mining industry is the survival and basic industries of human society. As the most important aspects of the entire mineral production, the increasingly fierce market competition at home and abroad calls for higher requirements of mineral processing products. In recent years, controlling the technique indices that represent the quality, the efficiency, and the consumption of the product processing into its targeted ranges is the objective of the optimal operation control which also attracted many scholars to research. Since the mineral processing is a comprehensive and complex industry process with numerous equipment and difficulty of description by the accurate model. Based on data and knowledge, hybrid intelligent operation control method has been successfully used in the optimal operational control system for mineral processing, due to its high complexity and strong real-time characteristics, which makes the monitoring system have higher reliability. In addition, the process fault diagnosis technology used by the present monitoring system is mainly focused on the process equipment which could be described by accurate model. So it’s urgent to take effective measures based on data-driven to monitor and diagnosis. Besides, the optimal operational control monitoring system is mainly used by the process engineers, operation control engineers and operators with different education background. It is of great significance to improve its simplicity and practicality.In order to solve these problems above, the optimal operational control monitoring software platform for mineral processing is proposed, and is supported in part by the National Basic Research Program (973) of Program of China under Grant2009CB320604.The main work is summarized as follows:1.The whole production process and control methods of the mineral process are briefly described. Then the analysis about requirements was done on function requirement, performance requirement and feasibility requirement.2.The framework of this software platform is proposed. Then function modules are designed, such as the system management module, the drawing module, fault diagnosis module, data-management module, and report module and so on. This paper mainly introduces the drawing module and the fault diagnosis module; the former is used to quickly and easily establish the monitoring interface of control strategies of production process; and the latter to enhance reliability and accuracy of the platform. At the same time, aiming at saving and querying the data conveniently, the database and variable library is designed. What’s more, the interface on external data communication, internal messaging transfer and Human-machine interaction are designed, what enhance data accessibility and make the interface more friendly.3.The visual graphics technology is employed to develop configuration module, which makes the controlled objects more vivid and profound. The principal component analysis algorithm is adopted to detect the process data on-line, so the stability and reliability are improved. Both the OPC technology and ODBC technology for interconnecting data is used to achieve real-time communication. Meanwhile, to ensure consistency and timeliness of communication between the functional modules of software, publish/subscribe mode of component is adopted.4.According to the software test standards, four test cases including system management test, editing function test of configuration module, online data fault diagnostic test, communication tests are designed. The results show that the platform is functional and efficient and the man-machine interface interaction is user-friendly and easy to use. |
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