Multi-metering abnormal event correlation analysis method
An abnormal event and event-related technology, applied in computer parts, calculations, instruments, etc., can solve the problems of unstable data values, absolute error effects, etc., and achieve the effect of improving accuracy
Inactive Publication Date: 2019-10-11
ZHEJIANG HUAYUN INFORMATION TECH CO LTD
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Problems solved by technology
However, the correlation degree is greatly affected by the two-level minimum absolute value difference and the two-level maximum absolute error
Once a certain maximum value point or minimum value point appears in the data column, the correlation coefficient of each feature point will be greatly affected, so that the correlation degree value has a large volatility, and the data value is extremely unstable.
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[0041] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings.
[0042] like figure 1 , 2 Shown, the present invention comprises the following steps:
[0043] 1) Data preprocessing
[0044] Obtain database data, the data in the database includes various abnormal events that occur for each user, the occurrence time and recovery time of each exception, and the cause of the exception;
[0045] Retrieve the blank place in the column of the date of occurrence of the abnormal event, and delete the entire row of data in the blank place;
[0046] 2) Preliminary determination of pairwise abnormal event combinations that may be associated
[0047] Calculate the total number of occurrences of each abnormal event n k , and then make a pairwise combination of all abnormal events, and find the number of times n when the pairwise abnormal events occur in the same month and belong to the same user ij ; when...
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The invention discloses a multi-metering abnormal event correlation analysis method, and relates to an abnormal event analysis method. At present, only a single metering abnormal event is analyzed, the workload is large, part of alarm information cannot be effectively analyzed and processed, and the improvement of the fault accuracy is limited. In order to improve the abnormal alarm data utilization rate and the abnormal diagnosis accuracy, the association degree of every two abnormal events is calculated through classification and screening of historical data, whether the occurrence of the two abnormal events has a causal relationship or not is visually seen, results are screened, and the accuracy is improved; and finally, setting a threshold value for the association degree to realize screening of concurrent abnormal event combinations. According to the technical scheme, the concurrent abnormal event combination is effectively discriminated, so that the accuracy and integrity of analysis and utilization of the metering abnormal event are improved.
Description
technical field [0001] The invention relates to a method for analyzing abnormal events, in particular to a method for analyzing the correlation degree of multi-measurement abnormal events. Background technique [0002] With the development of the economy and the increase of power consumption, the problem of power loss caused by power metering failures has become more and more prominent, and power supply companies and even the country have suffered huge economic losses. Therefore, it is more and more important to analyze and deal with electric energy metering faults. Metering abnormality alarm is an important functional module of the electricity consumption information collection system. The abnormality alarm function sets an alarm flag for the abnormal situation of the power consumption site. The alarm flag can be queried by the system in real time or actively reported by the terminal. Analyzing the abnormal alarm events of the terminal can monitor the operation status of t...
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IPC IPC(8): G06K9/62
CPCG06F18/2433
Inventor 王坚敏王焱李波沈海泓陈茂锐徐超全王俊峰童军民吴霞
Owner ZHEJIANG HUAYUN INFORMATION TECH CO LTD