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Artificial intelligence alarm method for safety production of hydraulic power plant

A technology of safe production and artificial intelligence, applied in the field of information, can solve the problem that the operator cannot confirm the key information in the first time, and achieve the effect of reducing the workload

Pending Publication Date: 2022-01-04
BEIJING XJ ELECTRIC
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] But for a long time, the data alarm mechanism of the computer monitoring system of the hydropower plant is a simple state displacement and analog quantity over-limit alarm
The extensive alarm mechanism causes the monitoring system to generate a large number of process data alarms, such as repeated screen swiping alarms of analog critical values ​​and equipment operation process state change alarms. Many process data are accumulated on the screen, making it impossible for operators to confirm key information in the first place.

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  • Artificial intelligence alarm method for safety production of hydraulic power plant
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[0043] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0044] Further description will be given below in conjunction with the accompanying drawings and the methods of the embodiments of the present invention.

[0045] like Figure 1-Figure 6 As shown, the embodiment of the present invention proposes an artificial intelligence alarm method for safety production of a hydropower plant, including: a historical data extraction step, a neural network reasoning step, and an early warning output step;

[0046] The historical data extraction steps include: for the specific operating equipment of the hydropower plant, establish an equipment object model, extract the working co...

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Abstract

The embodiment of the invention provides an artificial intelligence alarm method for safety production of a hydraulic power plant. The method comprises a historical data extraction step, a neural network reasoning step and an early warning alarm output step. The technical scheme belongs to the field of artificial intelligence. According to the technical scheme, the artificial intelligence technology is combined, the hydraulic power plant operation health standard is automatically obtained by adopting the neural network algorithm, the whole plant production equipment is monitored and tracked, the equipment operation state deviating from the health standard is alarmed, the workload of power plant personnel is greatly reduced, and a foundation is laid for realizing'unattended operation and few-person on duty 'of the ultra-large hydroelectric generating set.

Description

technical field [0001] The invention belongs to the field of information technology, and in particular relates to an artificial intelligence alarm method for safety production of a hydropower plant. Background technique [0002] With the development of social informatization, various electronic devices are widely used in more and more fields; especially in various monitoring and monitoring fields, which can greatly improve the real-time performance of monitoring. [0003] But for a long time, the data alarm mechanism of the computer monitoring system of the hydropower plant is a simple alarm of state displacement and analog quantity exceeding the limit. The extensive alarm mechanism causes the monitoring system to generate a large number of process data alarms, such as repeated screen swiping alarms for analog critical values ​​and equipment operation process status change alarms. Many process data are accumulated on the screen, making it impossible for operators to confirm ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06G06N5/04G06N3/08G06N3/04
CPCG06Q10/04G06Q10/0635G06N5/04G06N3/04G06N3/084G06Q50/06Y02A10/40Y04S10/50
Inventor 秦飞温国强王韶群吕志来
Owner BEIJING XJ ELECTRIC