Power failure service timeout monitoring and identifying method based on index analysis

Abstract

The invention relates to a power failure service timeout monitoring and identifying method based on index analysis, which is technically characterized by comprising the following steps of: summarizingand extracting important indexes of each link gateway of a power failure monitoring processing flow to form power failure monitoring indexes; classifying the power failure monitoring indexes, and identifying and perfecting paraphrases of the power failure monitoring indexes one by one; setting flow timeout thresholds and flow buffer thresholds under different flow gateways; carrying out timeout monitoring on the circulation timeout threshold and the circulation buffer threshold under different flow gateways, and carrying out early warning pushing; bringing the overtime power failure work order into an operation monitoring abnormal work order, and issuing an early warning notification; and analyzing a power supply area where overtime abnormal work order high frequency occurs based on statistical classification of operation monitoring abnormal work order values in the area where time and the area are located. According to the invention, the problems of large workload, wide scope of investigation, easy omission and untimely management and control caused by lack of a pre-event management and control tool in the power failure service are solved, the overtime phenomenon of the power failure service is reduced, and the satisfaction degree of users is improved.

Description

technical field [0001] The invention belongs to the technical field of power system dispatching control, in particular to an index analysis-based overtime monitoring and identification method for power failure services. Background technique [0002] With the rapid integration of information and communication technology with power grid production and management in an unprecedented breadth and depth, business synergy is stronger, business flow and information flow tend to be consistent, and power consumption and marketing data are effectively integrated with power grid regulation and distribution data. , the timeliness and accuracy of data are further enriched and expanded, which can help in-depth analysis of marketing and operation business, provide advanced control in advance, and help power companies refine operation management, improve company management level and operating efficiency, and improve customer satisfaction. [0003] In the process of power dispatching, for the...

AI Technical Summary

Problems solved by technology

[0003] In the process of power dispatching, for the process control of power outage business, the operation and control personnel of the power supply unit are usually responsible for screening abnormal work orders in the business and proactively checking the compliance of management indicators. The repetitive manual workload is heavy and the scope of investigation is extensive. Currently Lack of professional and reliable pre-control tools, prone to omissions or untimely control

The marketing business monitoring work will use power outage timeout as an important assessment indicator. At present, it can only conduct post-event statistics on the management situation of each region, and the ability to help process control is not strong. Therefore, real-time monitoring of core indicators is urgently needed to assist power supply units. Operational management and control personnel discover business abnormalities in a timely manner and intervene in advance

Images