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Location: Home » Company News » BKC "Integrated Maintenance and Power Generation Strategy System for Thermal Power Plants Based on Big Data"
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BKC "Integrated Maintenance and Power Generation Strategy System for Thermal Power Plants Based on Big Data"

Released Date: Jan 14,2022 Article Source: BKC Technology
Beijing BKC, in collaboration with China Electronics Huachuang and Jiangsu Changshu Power Plant, has developed the "Integrated Maintenance and Power Generation Strategy System for Thermal Power Plants Based on Big Data" with the No. 5 unit of Changshu Power Plant as the pilot project. Since its official launch on June 25, 2021, the system has been operating stably and providing a good user experience.

BKC "Integrated Maintenance and Power Generation Strategy System for Thermal Power Plants Based on Big Data"

Beijing BKC Technology: Gao Wendi

Beijing BKC has joined hands with China Electronics Huachuang and Jiangsu Changshu Power Plant, focusing on Changshu Power Plant5Taking Unit No. 1 as a pilot project, the "Integrated Maintenance and Power Generation Strategy System for Thermal Power Plants Based on Big Data" was developed2021years6month25Since its official launch on the day, the system has been running stably and the user experience has been good.

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"Integrated Maintenance and Power Generation Strategy System for Thermal Power Plants Based on Big DataIt is to implement the national "intelligent" policy+A comprehensive application platform developed to meet the development strategy, adapt to the development of new technologies, and satisfy the safe and efficient operation goals of the power generation industry. This system has achieved the in-depth application of artificial intelligence in the condition-based maintenance of power generation enterprises and the optimization of power generation operation strategies.

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"Integrated Maintenance and Power Generation Strategy System for Thermal Power Plants Based on Big DataThrough the status monitoring of the monitored equipment, advanced algorithms, machine deep learning and other methods are applied. By extracting and mining the correlation data (including positive and negative correlations) from the operation data, and combining with the discrimination and screening based on the experience of industry experts, a fault model database is created to diagnose various abnormal or fault states of the equipment Identify whether there are any abnormalities or defects during the operation of the equipment. Push maintenance suggestions or plans for the unit. Necessary guidance opinions can be automatically pushed based on the operation mode of the equipment to prevent the fault from further expanding and causing serious accidents.

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The implementation of the "Integrated Maintenance and Power Generation Strategy System for Thermal Power Plants Based on Big Data"It plays a positive role in the condition-based maintenance of the monitored equipment. On the one hand, it ensures that the status of the inspected equipment is under control and controllable, avoiding the emergency repair costs and power loss caused by sudden failures of the monitored equipment. On the other hand, it can optimize the maintenance cycle and items of the inspected equipment, prevent overrepair or underrepair, and effectively reduce spare parts and labor costs.

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