Research And Design Of Communication And Command System For Fire

The rapid development of modern science and technology in today's society has entered the information age, information technology have been widely used in many areas of human life. Fire forces are the main force of the fire power and to strengthen the fire brigade information technology work is the development of fire service needs to adapt to the new era.However, with the accelerating process of urbanization, the city has expanded and rapidly increasing in explosion about urban population, a variety of factors increasing the fire, but the fire of a modern city is also showing three-dimensional, complex and diverse characteristics. In order to face new challenges, and enhance the combat effectiveness of fire fighting forces, modern building fire communication command system is needed.In this paper, information construction of fire brigade as the background, take full account of the actual need of information construction of the fire forcess of information construction, and completed the design of fire communication and command system, and developed some of the features of the algorithm module.Firstly, the status of command and communication system for fire are discussed, followed by the design about the fire support platform architecture, system hardware are of completion, on this basis, development model of service system for fire are proposed . Also carried out the design about the physical subsystem of communication command system for fire. In order to organize the limited city's fire resources, to adapt the trend that command and communication system for fire is developing in intelligent, accurate and fast the paper make the combination of command and communication system for fire and gray relational analysis that in the agricultural, industrial, medical and other fields are widely used. And then,an intelligent communication and command system for fire model are desiged,and implements the algorithm simulation analysis of intelligent fire command decision-making based on gray relational analysis, and the expected result are obtained.Finally, this paper also summarized the work done, and puts forward the need to further refine and improve about the work.