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SF6 leakage monitoring system is applied to 110KV

GB/T8905-1996 "Guidelines for Gas Management and Detection in sulfur hexafluoride Electrical Equipment" and DL 408— 1991 "Electrical Safety Work Regulations" (electrical parts of power plants and substations) and "Eighteen Major Anti-accident Measures of the State Grid Company" specifically stipulate that the distribution unit room equipped with SF6 equipment must ensure that the SF6 gas concentration is less than 1000ppm, in addition to the installation of strong ventilation devices, The oxygen meter and SF6 gas concentration detector must be installed.

Fengguzhai 11OKV Substation is located in the northeast of Baoxing County, Ya 'an City, Sichuan Province, 227 km away from Chengdu, 102 km away from Ya 'an, and 28 km away from Baoxing County. It is under the jurisdiction of the national Giant Panda Nature Reserve.

 

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The GIS room of the power station adopts Wevers SF6 leak monitoring system (Winfoss-S1), which is a comprehensive solution for on-site SF6 concentration, oxygen content and temperature and humidity monitoring. Provides both real-time alarm and data store query functions. The simple operation panel of the system and the LCD dynamic display make it easy for users to master all the operation and use of the system. The gas concentration state at the GIS equipment is monitored in a real-time and dynamic manner. The organic combination of the entire system leaves the user with minimal maintenance steps and costs. The system monitors the environment dynamics of GIS switch room 24 hours a day and creates a good safe environment for GIIS switch room.


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The installation of SF6 leakage monitoring system provides real-time monitoring data for on-site SF6 equipment maintenance staff. To realize the traceability and analysability of the comprehensive value of the monitoring process, and highlight the monitoring of key locations. It embodies the idea of equipment maintenance management of pre-planning, control in the matter and analysis after the event. It improves the maintenance efficiency and accuracy of the enterprise, and basically makes digital maintenance. The original maintenance work is basically regular detection often has the detection is not timely, the error of the detection results is large, and the basis of stage analysis is not sufficient. Now the online monitoring system is used to fully solve the original shortcomings. It can also use the database of hundreds of millions of test records to directly query the measured value of any period of history, so that the test results of various periods can be backed up and recorded and analyzed at any time, providing a strong basis for predicting the bad situation of the equipment.