Alarm condition recognition and distribution method and electronic equipment

Abstract

The invention discloses an alarm condition recognition and distribution method and electronic equipment. By adopting artificial intelligence, big data analysis and machine learning technologies, intelligence of alarm condition assignment is achieved, intermediate links are reduced, theresponse time is shortened, the rapid response capacity of the police affair system is improved, manual processinglinks are effectively reduced, and the workload of all alarm receiving units is greatly reduced; meanwhile, resources of an existing police affair database can be directly and efficiently utilized, existing police affair data are effectively integrated, rapid and wide application and popularization can be conveniently carried out, and the working efficiency is improved to the maximum extent.

Description

technical field [0001] The invention relates to the technical field of police platforms, in particular to a method for identifying and dispatching police situations and electronic equipment. Background technique [0002] As the center of the police system, the police platform plays a vital role in the coordination, assignment and overall command of the police system. As a bridge to directly communicate with the masses and police units at all levels, the response time and disposal efficiency of the police platform It has a decisive impact on the speed and accuracy of police dispatching by police units. [0003] like figure 1 As shown, it is a schematic diagram of the police receiving and handling process of the police platform in the prior art. The receiving and handling process of the police in the prior art includes: [0004] In the first step, the masses dial 110 or 119 to call the police; [0005] In the second step, the first-level alarm receiving unit, such as the po...

AI Technical Summary

Problems solved by technology

[0011] It can be seen that in the existing technology, the police situation identification of the police platform and the assignment of the receiving unit still adopt manual identification and manual assignment. , need to be dealt with by at least two police officers, and cannot be directly assigned to the police unit. The disposal process is long and inefficient, which increases the processing time from receiving the police to dispatching the police.

At the same time, there are a large number of unavoidable defects in manual identification and manual assignment. For example, it takes a lot of manpower and time to manually recognize addresses and assign police information manually, and a police officer is completely familiar with the addresses of the entire jurisdiction from the beginning to the end and can conduct efficient The allocation process takes a year or even longer, which greatly reduces the disposal efficiency of the police platform; in addition, if the method of building an address library (standard vocabulary) to determine the alarm receiving unit of the alarm situation is used, since the alarm information comes from different alarms People, and the situation when calling the police is often more urgent, which makes the alarm information received by the police platform vary widely, and there are often a large number of synonyms, homonyms, homographs and typos. In order to accurately identify the alarm address and realize accurate police distribution, this The standard vocabulary must be comprehensive and powerful, including synonyms, homonyms, homographs, and phrases containing typos, and must also include new addresses that are constantly added and updated in time

However, the content contained in this vocabulary must be massive, and the records contained in only one urban vocabulary can reach hundreds of millions. Building and updating such a vocabulary will consume a lot of manpower and material resources. Infeasible; at the same time, the vocabulary in different regions is not replicable, and each region needs to establish a separate vocabulary, so that such a standard vocabulary cannot be widely used

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