Auxiliary decision-making method of power environment monitoring system based on big data platform
A dynamic environment monitoring and big data platform technology, applied in general control systems, control/regulation systems, program control, etc., can solve problems such as failure to detect and eliminate faults in time, and inability to accurately and efficiently monitor environmental equipment in real time. The effect of increasing the level of automation
Active Publication Date: 2020-04-21
国网宁夏电力有限公司信息通信公司 +1
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[0005] Aiming at the deficiencies of the prior art, the present invention provides an auxiliary decision-making method for a power environment monitoring system based on a big data platform, which solves the problem that most of the existing power environment monitoring systems use management personnel to inspect or be on duty, which cannot be accurate and efficient The real-time monitoring of environmental equipment cannot detect and troubleshoot problems in time
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[0025] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0026] see Figure 1-3 , the embodiment of the present invention provides a technical solution: an auxiliary decision-making method for a power environment monitoring system based on a big data platform, including a massive data module 1, a feedback module 2, a big data platform 3, a real-time data module 4, and a data extraction module 5 , data analysis module 6, fault model generation module 7, comparison module 8, pre-alarm unit 9, alarm unit 10 and externa...
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The invention discloses a power environment monitoring system based on a big data platform, and relates to the technical field of power environment monitoring. The system comprises a mass data module,a feedback module, a big data platform, a real-time data module, a data extraction module, a data analysis module, a fault model generation module, a comparison module, a pre-alarm unit, an alarm unit and an external host. The output end of the mass data module is connected with the input end of the big data platform. According to an auxiliary decision-making method for the power environment monitoring system based on a big data platform, data is input into a big data platform through a mass data module; the data extraction module, the data analysis module and the fault model generation module are matched to establish a fault model, comparison is conducted through the comparison module, pre-alarm and alarm are conducted through the pre-alarm unit and the alarm unit, alarm before equipmentfaults is achieved, a network management system has the equipment operation condition analysis capacity, and the automation level of operation and maintenance is improved.
Description
technical field [0001] The invention relates to the technical field of power environment monitoring, in particular to an auxiliary decision-making method for a power environment monitoring system based on a big data platform. Background technique [0002] The power and environment monitoring system is an advanced method that uses data acquisition technology, computer technology and network technology to effectively improve the quality of communication power supply system, computer room air conditioning system and environmental maintenance. The power and environment monitoring system is to collect the distributed independent power equipment and machine room environment monitoring objects such as telemetry and remote signaling, monitor the operating status of the system and equipment in real time, record and process relevant data, detect faults in time, and make necessary Remote control operation, timely notification to personnel to deal with; Realize less people and no one on...
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IPC IPC(8): G05B19/042
CPCG05B19/0428G05B2219/24024
Inventor 王福生张立中尹耕康晓东王建磊王圣杰陈峥孙琳赵桉王渭郭辉
Owner 国网宁夏电力有限公司信息通信公司