Electrified detection standardized operation management system based on mobile and cloud computing technologies

Abstract

The invention relates to an electrified detection standardized operation management system based on mobile and cloud computing technologies, which comprises an electrified detection device, an electrified detection management terminal and a task management module, wherein the electrified detection device is used for acquiring data of a detected object; the electrified detection management terminal is connected with the electrified detection device, receives and stores corresponding data of the detected object according to an electrified detection task, and sends out the data of the detected object through a wireless network; and the task management module is connected with the electrified detection management terminal, sends the electrified detection task to the electrified detection management terminal, receives feedback data of the electrified detection management terminal at the same time, displays the feedback data and generates an analysis report. Compared with the prior art, the electrified detection standardized operation management system has the advantages of abilities of effectively improving the work efficiency, realizing fine management for tasks, and the like.

Description

technical field [0001] The invention relates to a live detection system, in particular to a live detection standardized operation management system based on mobile and cloud computing technology. Background technique [0002] In recent years, with the transformation of power grid equipment maintenance from periodic maintenance to condition-based maintenance, condition detection has been more and more widely used. Live detection is an important branch of state detection. Portable detection instruments are usually used for on-site detection of power grid equipment in the running state, which has the characteristics of flexibility, accuracy, and timeliness. Live detection test data, as an important equipment state characterization parameter, is one of the data sources for evaluating the state of power grid equipment. The live detection business has various needs: [0003] 1. The live detection business is developing rapidly, requiring various professional teams to work togethe...

AI Technical Summary

Problems solved by technology

[0004] a) The live detection business is developing rapidly, and the work efficiency of a single team is difficult to meet the requirements, and it is imperative for multiple teams to work collaboratively in real time

[0005] b) In the event of an emergency, the on-site situation cannot be fed back to the evaluation center in a timely manner, and the decision-making information and work instructions of the evaluation center are also difficult to send to the site in time, resulting in incoordination between remote and on-site teams

[0006] 2. The standardized operation of live detection needs to be standardized, and work efficiency needs to be improved:

[0011] e) Lack of knowledge accumulation and sharing in live detection work

[0012] 3. The live detection business lacks a management handle:

[0013] a) It is impossible to determine whether the live detection work is carried out as planned

[0014] b) Live detection work records cannot be centrally managed and queried at the headquarters level

[0015] c) The timeliness of live detection reports and data analysis is poor, and a lot of manpower and time are spent

[0016] d) The performance of live detection is difficult to measure and assess

[0017] At present, there are still several problems to be solved in the live detection business: First, the data of live detection mainly rely on the manual records of field test professionals. This original method has defects such as poor data standardization and the inability to conveniently archive statistical analysis of measurement results.

Second, there are many types and large quantities of data collected in the field work of live detection. When compiling the analysis report, it needs to go through very cumbersome data collection, sorting and editing. Not only is the work efficiency low, but the accuracy and integrity of the data are also difficult to guarantee.

However, the participation of multiple teams also brings about uneven work process standardization and work product quality, and the management requirements for standardized operations are becoming more and more urgent.

Fourth, although the PMS system has accumulated a large amount of valuable data, it cannot be effectively used in the field work of live detection due to reasons such as site, equipment, and network

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