Data retrieving and ordering method for electrical power system

Abstract

The invention relates to a data retrieving and ordering method for an electrical power system. The data retrieving and ordering method comprises the following steps: (1) storing data by virtue of a distributed file system; (2) establishing a professional knowledge relevant synonym participle lexicon; (3) establishing full-text index for data; (4) carrying out retrieving and ordering in a parallelization manner; and (5) realizing the fuzzy matching of multiple retrieved fields. According to the method, the storing, retrieving and ordering of the data are realized in a parallel computing manner, so that the rapid retrieving is realized; by defining a professional word segmentation system, the indexing efficiency is improved; by virtue of a full-text retrieval manner and a distributed retrieval manner, the retrieval speed of a non-standard text is increased; by retrieving self-learning and synonym definition of a keyword, the fuzzy retrieval is realized; and the synonym lexicon is utilized for intelligently identifying situations of abbreviation of terms, nonstandard filling and the like, so that the business Integrity of a retrieval result is guaranteed. The method is simple and practical, the data of a relation database can be directly imported, and the distributed storage and the data index can be automatically established, so that rapid deployment and multi-scene application are realized.

Description

technical field [0001] The invention is a data retrieval and sorting method for a power system, which belongs to the innovative technology of the data retrieval and sorting method for a power system. Background technique [0002] The scale of today's power system continues to expand, the integration of regional power systems is increasing, and the operation of the system is becoming more and more complex, which puts forward higher and higher requirements for data processing capabilities. 1) For economic considerations, power systems generally operate near the stability limit, which requires system operators to respond promptly and quickly to problems that arise, while traditional manual monitoring and simple threshold alarm principles cannot meet more High security requirements. 2) With the continuous improvement of EMS advanced application software and the continuous improvement of computer calculation speed, various analysis results are continuously produced. Most of the ...

AI Technical Summary

Problems solved by technology

1) For economic considerations, power systems generally operate near the stability limit, which requires system operators to respond promptly and quickly to problems that arise, while traditional manual monitoring and simple threshold alarm principles cannot meet more high security requirements

2) With the continuous improvement of EMS advanced application software and the continuous improvement of computer calculation speed, various analysis results are continuously produced. Most of the existing systems display information in the form of numbers or text lists. When the amount of data increases sharply, the system will run Personnel cannot quickly obtain important information on the operating status of the system

Even so, the current methods are difficult to obtain results in a fast enough time for the fast retrieval of large amounts of data

[0008] (3) For large text fields similar to "scheduling logs", they also need to be indexed. Although traditional relational databases also provide corresponding means, the effect of indexing and query efficiency are not satisfactory. For Chinese text The support is limited and cannot be optimized according to business scenarios

If it is necessary to perform fuzzy matching on multiple keywords: like "%keyword1%" and like "%keyword2%" ... its efficiency will be seriously reduced

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