Electric power accident emergency disposal safety early warning method

Abstract

The invention discloses an electric power accident emergency disposal safety early warning method, and particularly relates to the technical field of electric power accident early warning. The method comprises the following specific steps: 1, carrying out the statistics of the related information of all electrical equipment in a designated area; and 2, connecting the GPS coordinates of all electrical equipment in the designated area, and forming an electrical equipment map network. All electrical equipment in a specified area is placed in the same network by establishing an electrical equipment map network of a regional region, so that a worker can know the influence range possibly caused by the faulted electrical equipment, the regional power accident emergency processing system is constructed, and a deep learning algorithm is carried in the system,. The deep learning algorithm is utilized to help a worker identify an electrical fault, and a correct processing method can be provided for the worker to avoid an electrical accident caused by an improper processing mode, so that an unpredictable consequence can be avoided.

Description

technical field [0001] The invention relates to the technical field of early warning of electric power accidents, in particular to a safety early warning method for emergency response to electric power accidents. Background technique [0002] With the widespread application of electricity, the use of electrical equipment in all walks of life has become quite common. If the installation of electrical equipment is improper, the use is unreasonable, and the maintenance is not timely, especially if the electrical workers lack the necessary knowledge of telegraph safety, it will not only cause waste of electric energy, but also cause electrical accidents, endangering personal safety, and bringing great harm to the country and the people. huge loss. In fact, there are a large number of electrical unsafe phenomena in industrial and mining industries such as machinery, chemical industry, and metallurgy, and electrical accidents have become an important cause of personal casualties,...

AI Technical Summary

Problems solved by technology

[0003] In the prior art, when the electrical equipment breaks down, inspection workers are usually required for maintenance and protection. Since most of the maintenance workers do not have sufficient power knowledge reserves, they cannot clearly recognize the potential danger that may exist in the failure. Therefore, when the electrical equipment appears In the event of a failure, the staff tends to make incorrect judgments and handle incorrectly, which can easily cause unpredictable consequences