A Power Risk Early Warning Method Based on Weighted Matching of Positive and Negative Feature Library
A technology of risk early warning and feature library, applied in forecasting, data processing applications, instruments, etc., to achieve the effect of accurate and effective fault early warning
Active Publication Date: 2022-06-07
JIANGSU FRONTIER ELECTRIC TECH +1
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[0003] The technical problem to be solved by the present invention is to overcome the defects of traditional manual maintenance in the prior art, provide a real-time monitoring record data and historical data pattern feature library matching, accurate and effective fault warning based on positive Power risk early warning method based on anti-signature database weighted matching
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[0033] The present invention will be further described below with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solutions of the present invention, and cannot be used to limit the protection scope of the present invention.
[0034] like figure 1 As shown in the figure, the present invention provides technical support for early warning of faults of UHV connecting fittings in response to the needs of intelligent development of operation and inspection, and is applied to early warning of faults in actual operation and inspection environments. Provided is a power risk early warning method based on weighted matching of positive and negative feature libraries, including the following steps:
[0035] Step 1, it is assumed that a normal mode feature library and an abnormal mode feature library have been established respectively based on the historical information records. The acquisition method of the normal p...
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The invention discloses an electric power risk early warning method based on weighted matching of positive and negative feature databases, comprising the following steps: step a, forming corresponding historical records and records to be early warning, and constructing a pattern feature library corresponding to parameters of the historical records and records to be early warning ; Step b, match the record to be warned with the feature rules in the predefined pattern feature library, and calculate the matching distance according to the matching result; step c, form the forward matching feature rule set RS respectively p and reverse matching feature rule set RS r ; Step d, respectively calculate the forward matching feature rule set RS p and reverse matching feature rule set RS r The risk index; step e, based on the risk index, calculate the comprehensive risk index. The present invention provides an electric power risk early warning method based on weighted matching of positive and negative feature databases, which can match real-time monitoring record data with historical data pattern feature databases, and accurately and effectively perform fault warnings on UHV splicing fittings.
Description
technical field [0001] The invention relates to a power risk early warning method based on the weighted matching of positive and negative feature libraries, and belongs to the technical field of UHV line fault risk identification and early warning in the power data environment. Background technique [0002] In the actual operation and inspection environment of power equipment, the traditional method of manual maintenance and troubleshooting of UHV line connection fittings has many shortcomings. For example, the temperature of the monitored equipment changes greatly, but the regularity of the temperature change cannot be analyzed. However, when the temperature is too high, the maintenance personnel rush to the scene but often find no abnormality, which wastes the human resources of the maintenance personnel; potential safety hazards are not easy to be found, such as The equipment temperature is not high, but it has exceeded the normal equipment temperature range in the curren...
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IPC IPC(8): G06Q10/06G06Q10/04G06Q50/06
CPCG06Q10/0635G06Q10/04G06Q50/06
Inventor 季聪管诗骈谢林枫尹飞李新家祝永晋李昆明厉文捷马吉科葛崇慧戴炀张鸿鸣查满霞倪巍伟
Owner JIANGSU FRONTIER ELECTRIC TECH