Intelligent operation supervision management and control device for operation of thermal power generation

Abstract

The invention discloses an intelligent operation supervision management and control device for operation of thermal power generation, which comprises a shell. The upper end of the upper surface of the shell is embedded with a display screen; the lower end of the display screen is provided with control buttons; the lower end of the control buttons is provided with an interphone; the lower end of the right end surface of the shell is provided with an interphone button; a lithium battery is embedded in the center of the rear end surface of the shell; a recorder is embedded at the left side of the front end surface of the shell, a camera is embedded in the center, and a lighting lamp is embedded at the right side. According to the intelligent operation supervision management and control device for operation of thermal power generation, problems in the case of operation supervision can be fed back via an information input module, the problems can be timely solved, an evaluation device is used for browsing and judging accidents in the operation supervision in advance and carrying out performance evaluation, the accident pre-judgment can be learned by a shift staff, the problems existing in the device and the processing method are known, the unexpected event handling ability during the shift process is improved, and the operation supervision quality is improved.

Description

technical field [0001] The invention relates to the field of electric power technology, in particular to an intelligent monitoring and control device for thermal power generation operation. Background technique [0002] Operators are required to make sufficient preparations before taking over the order, fully understand the defects of the unit and make accident predictions. The traditional operation management does not effectively regulate and supervise the behavior of the ordering personnel. Usually, the accident prediction plan before taking over the order is not well done. As a result, the inspectors do not have a comprehensive understanding of the defects of the unit before taking over the board, and the accident predictions for the existing defects are not sufficient. When the board is handed over, it is necessary to explain: parameters, operation mode, load, AGC situation, abnormal situation, equipment defects, etc. The information cannot save the data, and the situati...

AI Technical Summary

Problems solved by technology

[0002] Operators are required to make sufficient preparations before taking over the order, fully understand the defects of the unit and make accident predictions. The traditional operation management does not effectively regulate and supervise the behavior of the ordering personnel. Usually, the accident prediction plan before taking over the order is not well done. As a result, the inspectors do not have a comprehensive understanding of the defects of the unit before taking over the board, and the accident predictions for the existing defects are not sufficient. When the board is handed over, it is necessary to explain: parameters, operation mode, load, AGC situation, abnormal situation, equipment defects, etc. The information cannot save the data, and the situation of unclear handover leads to unclear responsibilities, which cannot meet the requirements of intelligent process for the supervision work of modern enterprises

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