Intelligent management system of electric safety and control method thereof

Abstract

The invention, which belongs to the field of electrical fire prevention, particularly relates to an intelligent management system of electric safety and a control method thereof. The management systemcomprises distribution line sensors, electrical fire monitoring terminals, a network server, a cloud server, a client, and a filter. In addition, the control method includes: step one, the electricalfire monitoring terminals collect operating parameters of a distributing line in real time by distribution line sensors; step two, according to the operating parameters collected by the distributionline sensors, analysis is carried out to obtain operation analysis data of the distribution line; step three, the network server carries out data classification and analysis on the operation analysisdata uploaded by all electrical fire monitoring terminals, power consumption safety information of the distribution line is obtained, and the information is transmitted to the cloud server in real time via the internet; and step four, the user terminal downloads the power consumption safety information in real time from the network server via the internet and displays the information for the user.

Description

technical field [0001] The invention belongs to the field of electrical fire prevention and control, and in particular relates to an intelligent management system and control method for electrical safety. Background technique [0002] In the statistics of fire causes in my country from 2005 to 2017, electrical fires accounted for more than 30%; in the statistics of national fire losses caused by various causes in 2005-2017, electrical fires accounted for more than 53%. These two sets of data fully demonstrate that electrical fires are the top priority of fire prevention and control work both in terms of incidence and loss. [0003] At present, the reasons for the high incidence of electrical fires in my country mainly include the following three aspects: First, the distribution of electrical lines is wide. The primary reason is the wide distribution of electrical lines. The large-scale distribution increases the difficulty of human supervision, and also increases the time f...

AI Technical Summary

Problems solved by technology

The primary reason is the wide distribution of electrical lines. The large distribution range increases the difficulty of human supervision, and also increases the time for emergency response, resulting in the late discovery of hidden dangers and long preparations for firefighting.

Second, the concealment of electrical circuits is strong

Because electrical faults such as short circuit, overheating, leakage and poor contact often occur inside the electrical equipment or at the intersection of the wires, the initial part of the electrical fire is not easy to be detected. Usually the fire is discovered after it has formed and developed into an open flame and smoke. At this time, a fire has formed, causing personal safety and property losses, and only fire fighting and other work can be taken.

Third, the growth cycle of electrical circuit safety hazards is long

Many old commercial buildings and residential power distribution lines have not been completely remodeled, and the capacity cannot meet the electricity demand of the current shopping malls and residential living standards

Second, the security of the power supply and distribution system itself is not enough

The operating parameters of the overload and short-circuit protection device do not match the line, and the power cannot be cut off in time when a fault occurs

Third, the problem of excessive current in the neutral line (zero line) that can still be caused by the harmonics and three-phase unbalance generated by nonlinear loads under normal use has become a new topic of electrical fire prevention and control.

However, the lack of information in the original basic data unit is not enough to support the certainty and reliability of the entire electrical safety prediction and diagnosis results, and it is also impossible to determine the real cause of the problem through cross-validation of multi-dimensional data

Images