The Implement Of An Indoor Location Algorithm And Supported Fire Rescue Decision Platform Based On Zigbee

With the development of society, the frequency and the damage of fire may increase as the population and the number of buildings continue to rise. When fire occurs, how to locate the fire immediately and how to update the position and the related data of firefighters in real time to assist fire rescue have become an important research direction. Based on this direction, this paper proposes an improved indoor location algorithm based on ZigBee and an optimal personnel assignment algorithm. This paper applies these algorithms into the indoor fire rescue and proposes the design frame and the implement of the supported rescue decision platform based on ZigBee.First of all, this paper proves the practicability of using ZigBee as the indoor location technology and gives the design frame of the supported rescue decision platform based on ZigBee. Combining with the application background and the characteristic of ZigBee network, this paper describes the whole platform design frame from three aspects, which are temperature monitoring, fire alarm and supported decision. Considering the key of the platform is to realize the indoor location and personnel assignment, this paper gives the design ideas of an improved indoor location algorithm based on ZigBee and an optimal personnel assignment algorithm based on location.Secondly, on the basic of the design idea of location algorithm, this paper gives a specific description of the dynamic regional error factor algorithm based on ZigBee. In order to improve the location accuracy, this algorithm proposes a dynamic regional error factor. It combines the method of least square method with dynamic regional error factor to calculate the coordinates of the blind nodes. This paper proves the location accuracy of the algorithm from two aspects:software and hardware. The results in Matlab shows that the positioning accuracy of the algorithm has improved significantly both in the static and dynamic conditions. The ranging experiment in the real environment which is based on the hardware implementation of CC2530further proves the feasibility and the accuracy of the algorithm in a real environment.Thirdly, on the basic of the design idea of personnel assignment algorithm, this paper proposes an optimal personnel assignment algorithm based on location. By analyzing the advantages and disadvantages of various decision algorithms and the application background of the paper, we finally choose the fuzzy multiple criteria decision making method to achieve the function of the algorithm. This algorithm computes and sorts the related decision factors, which include distance, environment and equipment, to realize the optimal firefighter choice.Then, this paper designs and implements the rescue decision platform on VB software platform. On this platform, we realize the three modulars and the related functions of location and decision. This section introduces the design steps of the whole platform in detail and describes the operation process of the platform.Finally, we summarizes and prospects the whole thesis work. Point out the issues of the supported rescue decision platform which should be solved and improved in the future.