Analysis And Design Of Armed Police Fire Equipment Systems

The armed police forces have to deal with emergencies and fire security work. Fire forces to bear the major disasters, accidents and other mainly to the rescue work of saving lives, fire departments and the people’s life and property safety and social stability are closely related. Therefore, equipment management informatization fire force is not a simple integration technology, a kind of management mode but the combination of multiple techniques and set up. It is conducive to the full range of management of fire fighting equipment, high target can achieve artificial cannot reach.This paper analyzes the background and significance of equipment management informationization of armed police fire forces, through the comparison of the current research status of the necessity and feasibility of developing equipment management system. By using the object-oriented technology, the analysis and design of the system. Among them, the demand analysis part includes the system overview, system analysis, the main role of business case analysis and system performance analysis, the case analysis case analysis and behavior model. In the part of system design includes system architecture design, function module design, database design and system interface design. The equipment management system can be divided into seven modules and equipment planning, equipment file management and statistics, equipment, equipment management, equipment management, reserves the basic information management and system management functions.Provides a complete and efficient management function of fire equipment management system of the armed police fire forces, to standardize equipment management system and improve the work efficiency, and ensure the preciseness and safety management of fire forces, armed police force is reliable management assistant. The equipment management system has great significance:the system can save manpower and material resources. It is beneficial for planning and scientific management, to avoid the artificial randomness of management. It is helpful to improve the data acquisition and processing speed and accuracy. It is favorable to the comprehensive information processing, improve the scientific management.