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Comprehensive fire control system and method for simulative neural network

A neural network and fire-fighting system technology, applied in biological neural network models, fire alarms, instruments, etc., can solve the problems of independent fire-fighting measures, inability to integrate, and dispatch a lot of resources, so as to reduce major national economic losses and improve prevention and timely rescue, the effect of ensuring the safety of personnel

Inactive Publication Date: 2011-02-16
丁增辉
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  • Application Information

AI Technical Summary

Problems solved by technology

However, there are still many problems. Various fire-fighting measures are independent of each other and cannot be integrated. At present, the more advanced concept is to use GPS, GSM and GIS networks to transmit the alarm signals received by sensors to the fire-fighting center. location, using a fire-fighting vehicle with a positioning system to implement rescue according to the navigation route
However, this method still has many shortcomings, and it may schedule many resources but cannot solve practical problems

Method used

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Embodiment Construction

[0030] Such as figure 1 Shown, be the system block diagram of the present invention, be divided into five parts, the first part signal input part, comprise a part of the present invention a kind of multi-node sensor fire alarm locator to form (as image 3 ), the other part is the telephone alarm; the second part is the middle layer, which is used for signal reception, and the input signal is weighted and standardized through the standardized protocol layer; according to the address information of the input signal, it is matched with the GIS geographic information database and presented on the interface; According to the extracted elements related to the fire information, match the fire response plan database, and store the fire alarm information into the database. The third part is the output part (such as Image 6 ), after passing through the middle layer, output the fire response plan M and other information. The fourth part is the supervisory training layer. According to ...

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Abstract

The invention discloses a comprehensive fire control system and a comprehensive fire control method for simulative neural network, which are used for devices for fire information acquisition and fire processing systems of simulative neural network for dealing with fire alarm information from different approaches. The system of the invention comprises a hardware part and a software part; and the method of the invention comprises the following steps: standardizing sent fire alarm information according to the appointed agreement so as to form an alarm message, extracting position fields in the alarm message by the system, and matching the position fields with a geographic information databases; according to fire factors in the alarm message, outputting a fire solution; according to the implementation of the fire solution, optimizing the fire solution continuously so as to form a fire solution set based on fire factors, thereby forming a fire information database.

Description

technical field [0001] The invention relates to a comprehensive fire protection system, in particular to a device for collecting and transmitting fire information and a fire processing and analyzing system. Background technique [0002] China is a country with frequent fires. With the increase of urban density, the potential factors leading to fires are also increasing. At present, the economy is developing rapidly, but the development of fire protection equipment is lagging behind. For industries involving people's life safety and property safety, it is correct The implementation method is to plan for a rainy day, but the actual operation is often a remedy, often causing irreparable huge casualties and property losses; after learning of the fire, rescuers often cannot accurately determine the fire scene, resulting in untimely rescue. Therefore, it is of great significance to improve the fire prevention ability and fire fighting ability. [0003] In recent years, some advan...

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Application Information

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IPC IPC(8): A62C37/00G08B17/00G06N3/02
Inventor 丁增辉
Owner 丁增辉
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