A method for predicting field operation and maintenance faults of electric pow communication

A fault prediction and power communication technology, applied in prediction, data processing applications, instruments, etc., can solve problems such as false alarms, low prediction efficiency, and large data volume, and achieve the effect of reducing performance requirements, improving prediction efficiency and prediction accuracy.

Inactive Publication Date: 2018-12-18
STATE GRID JIBEI ELECTRIC POWER COMPANY +3
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Problems solved by technology

[0005] The embodiment of the present invention provides a fault prediction method for on-site operation and maintenance of electric power communication, which is used to solve the problems that the existing intelligent algorithm for fault prediction needs to process a huge amount of data, the prediction efficiency is low, and false alarms are prone to occur

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  • A method for predicting field operation and maintenance faults of electric pow communication
  • A method for predicting field operation and maintenance faults of electric pow communication
  • A method for predicting field operation and maintenance faults of electric pow communication

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example 1

[0091] Figure 4 It is a schematic flow chart of a power communication field operation and maintenance fault prediction method according to an embodiment of the present invention, refer to Figure 4 , before judging whether the real-time data of on-site operation and maintenance is abnormal, first, select the sample data of m modules from the normal sample data of on-site operation and maintenance, and encode the sample data of the above m modules into y real-valued vectors . The modules here can be selected from communication cable line data, communication optical cable line data, communication optical transmission equipment data, communication microwave equipment data, communication carrier equipment data and communication power supply equipment data.

[0092] Second, select the parameter n, combine n consecutive vectors into an m×n matrix, and form the self-set S with y-n+1 matrices obtained.

[0093] Then, the detectors are generated by the detector generation algorithm ...

example 2

[0098] Collect the data of 6 modules, encode them into 10 real-valued vectors, take n=4, form a 6×4 matrix, the number is 7, and generate 100 detectors to form a detector set D. Periodically take 200 on-site operation and maintenance data as the data to be tested. Through simulation, the percentage of detectors with different thresholds among the detectors generated by applying the dynamic threshold negative selection algorithm, and the change of the detection rate of abnormal data in the negative selection algorithm under different thresholds are obtained.

[0099] Figure 5 It is a schematic diagram of the proportion of detectors with different thresholds among the detectors generated by the dynamic threshold negative selection algorithm according to the embodiment of the present invention, Figure 6 It is a schematic diagram of the detection rate of abnormal data in the negative selection algorithm under different thresholds in the embodiment of the present invention, whic...

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Abstract

The embodiment of the invention provides a method for predicting field operation and maintenance faults of electric pow communication, which comprises the following steps: judging whether the field operation and maintenance real-time data exist abnormality or not through a negative selection algorithm based on a matrix form, based on the field operation and maintenance real-time data and a presetdetector set; If the real-time operation and maintenance data are abnormal, the real-time operation and maintenance data are inputted to the fault prediction model, and the fault prediction result isoutputted, and the fault is checked based on the fault prediction result. The detector set is composed of several detectors which are selected by negative selection algorithm based on matrix and are based on normal sample data of field operation and dimension. The fault prediction model is based on the field operation and maintenance fault sample data and the field operation and maintenance faultsample data of the fault type training. The method provided by the embodiment of the invention solves the problem that the existing algorithm needs to process a large amount of data, reduces the performance requirements of the controller, and improves the prediction efficiency and prediction accuracy.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of on-site operation and maintenance of electric power communication networks, and in particular to a method for predicting failures of on-site operation and maintenance of electric power communication networks. Background technique [0002] On-site operation and maintenance of power communication includes inspection, maintenance, construction, acceptance and other operations, and is the most direct way to obtain information such as the operating status of communication lines and communication equipment and various technical performance indicators. Among them, the perception and prediction of faults are very important to ensure the healthy operation of power communication equipment and eliminate potential safety hazards. [0003] However, the original "decentralized maintenance" method relies entirely on manual inspection by maintenance personnel, and cannot achieve a 100% fault discove...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/00G06Q50/30
CPCG06Q10/04G06Q10/20G06Q50/30
Inventor 邢宁哲于蒙姚继明马跃张辉许鸿飞文玲锋李垠韬于然张姣姣段寒硕赵子兰徐鑫吕海军刘景松彭柏常海娇杨睿吴佳王坤乾吴立文杨广涛孟继军范士清米贯杰那琼澜张彦雷范群力张恩江蔺鹏
Owner STATE GRID JIBEI ELECTRIC POWER COMPANY
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