Electric power measurement data circulation traceability method

CN119225955APending Publication Date: 2024-12-31NORTH CHINA ELECTRIC POWER UNIV
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Patent Information

Application Number
CN202411195007.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-08-29
Publication Date
2024-12-31

AI Technical Summary

Technical Problem

The existing power metering data traceability method uses a single-stage Bloom filter, and the parameters cannot be differentiated, resulting in high traceability delay and low accuracy of massive data, and ignores the importance of different metrology data, making it impossible to achieve traceability delay and Dynamic compromise between accuracy.

Method used

The hierarchical bromide filter is used to differentiate the storage space and hash function number of each level according to the importance level of the power metering data, and dynamically adjust the parameters of each level through tests to achieve dynamic compromise between traceability accuracy and delay.

Benefits of technology

It improves the accuracy and efficiency of power metering data traceability, reduces the traceability delay, and meets the traceability accuracy and delay threshold requirements of data of different levels of importance.

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Abstract

The invention relates to an electric power measurement data circulation traceability method, which comprises the following specific data circulation traceability steps: firstly, a distributed power grid measurement system database is equipped with a hierarchical Bloom filter to quickly judge whether source data is stored in the current database, and then a hierarchical Bloom filter structure and a working process are given; according to a hierarchical Bloom filter structure and a work flow, differential configuration is carried out on a storage space of each level of Bloom filter and the number of Hash mapping functions so as to make full use of the storage space, reduce time delay and improve traceability accuracy, and finally, based on traceability accuracy and traceability time delay during test data traceability, the traceability accuracy of the test data traceability is improved. And dynamically adjusting the storage space of each level, the number of hash functions and the level number of the hierarchical Bloom filter until the power measurement data traceability accuracy threshold requirement and the time delay threshold requirement of each importance level are met, thereby realizing dynamic compromise between the traceability accuracy and the traceability time delay, and improving the traceability efficiency.
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Citation Information

Cited By

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