Relay protection defect diagnosis method based on data collaboration

Abstract

The invention provides a data collaboration-based relay protection fault diagnosis method, and belongs to the field of communication. The method comprises the following steps of: sending a data synchronization request to a server by a fault diagnosis handheld terminal, extracting terminal data version information by the fault diagnosis handheld terminal, and comparing the terminal data version information with service data version information in an online database by the server; updating data in an offline database according to the comparison result; and diagnosing relay protection on the basis of the updated offline database. Through a manner of carrying out data synchronization between the handheld terminal and the online databases stored in the server, data synchronization can be carried out between the handheld terminal and the online database while networking communication ability of the handheld terminal is ensured, and fault diagnosis data in the offline database stored in the handheld terminal can keep to-to-date as long as possible, thereby improving the correctness of diagnosing relay protection, improving the maintenance progress and reducing the influences caused to power supply in life and production by power supply faults.

Description

technical field [0001] The invention belongs to the communication field, in particular to a method for diagnosing relay protection defects based on data coordination. Background technique [0002] Relay protection is an anti-accident automation measure for studying power system failures and abnormal conditions that endanger safe operation in order to explore countermeasures. The basic task is: when a fault or abnormal condition occurs in the power system, within the shortest possible time and the smallest area, automatically remove the faulty equipment from the system, or send a signal to the on-duty personnel to eliminate the source of the abnormal condition, so as to alleviate or Avoid damage to equipment and impact on power supply in adjacent areas. [0003] In the prior art, maintenance personnel often rely on the data database in the defect diagnosis method when they diagnose relay protection defects. The solution reduces the maintenance schedule and has a huge impact...

AI Technical Summary

Problems solved by technology

[0003] In the prior art, maintenance personnel often rely on the data database in the defect diagnosis method when they diagnose relay protection defects. If there is a problem or fault that is not recorded in the data database, it cannot be determined The solution reduces the maintenance progress and has a huge impact on the life, production and power supply

Images