Research On Fire Programming For Disastrous Hazard Source Zone Based On Multi-Objective Fuzzy Theory

With the increase of construction and expansion of industrial logistics centers and manufacturing zones, the disastrous hazard sources, the number of large-scale destructive fire accidents is on the rise. This presents a great challenge for the fire protection of these hazard source's zones and therefore great attention is increasingly paid to fire protection programming in fire research field. This dissertation conducts a case study on fire protection programming for Tianjin Logistics and Manufacturing Zones, attempting to make a systematic research on the zone risk assessment, the fire station layout planning and optimization of water supply system for fire protection. Based on multi-objective fuzzy optimization, a fire programming system for significant danger zones is worked out and a fire programming model is built.In the first place, the researches were conducted on fire risk assessment of disastrous danger zones, using the theory of system safety engineering and multi-objective fuzzy mathematical method. They are as follows: (i) The basic theory for zone fire risk evaluation was established; the nature and content of fire risk assessment were analyzed and its hypostasis was given. The features of zone fire risk and its analyzing frame were also demonstrated. (ii) The indexes of the establishment of hazard zone fire risk assessment were provided. According to the fire data, fuzzy analytic hierarchy process was developed and it was used in dealing with the weight of zone fire risk indexes. For the analysis of the qualitative indexes, quantifying method and classification of zone fire risk were provided. (iii) Through integrating with fuzzy theory, a new synthetic evaluating technique with fuzzy mean value method was brought forward, which provided a new and appropriate means for studying on disastrous hazard zone fire risk evaluation.Secondly, fire station layout planning plays an important role in fire protection system and it comprises such work as fixing the location of fire stations, dividing the areas of responsibility and allocating the fire fighting devices. Although its related technical standards and regulations have been issued, they are limited in terms of applicable scientific theory, and thus need further optimizing. In this paper, the optimal planning of fire station facilities was made by the method of combination of a multi-objective fuzzy programming and a genetic algorithm. The original fuzzy multiple objectives were appropriately converted to a single unified"min-max"goal, which made it easy to apply a genetic algorithm to solving the problem. Compared with the existing methods of fire station location, this approach has three distinguished features: (i) Fuzzy nature of a decision maker was considered in the location optimization model. (ii) The demands for the facilities from the areas with various fire risk categories were taken into account. (iii) Fire service congested situation was also under consideration. Finally, the case study was used to illustrate the application of the method for the optimization of fire station locations.In addition, on the basis of reference standards and mathematical models, water supply system for fire protection was studied. Accordingly, the disastrous hazard zones were divided into many different functional units according to their functions; water requirements triangle fuzzy number of fire extinction was calculated on considering probable fires and fire scales. Using system optimization theory,considering complement of Nature's water sources and adjusting effect of optimal operation, the model of water supply system was finally built.In the end, based on the above optimizing model, the paper investigated the programming problem of Tianjin Logistics and Manufacturing zone. The result shows that the multi-objective fuzzy fire programming model is reliable,systemic and effective in optimizing the fire system, and reduces the risk coefficient of zone fire.