Study On Optimization Of Fire-fight Resources Allocation Across Districts

The increase of fire's frequency and fatalness caused by the rapid developing economy leads to larger demand of fire-fight resources, therefore regulation of the fire-fight resource allocation by the way of allocating the resources across districts is proposed so as to meet the developing demands. It is necessary to carry out the research of resources allocation across districts for it can solve many problems such as higher resources demand and the lack of fire-fight equipment and staff, on the other hand, it is possible because of the advance of technology and economy.The present research of fire-fight resource allocation provides a basis for further study, however there are still some fields to be fulfilled. Firstly, the research on the demand of fire protection dangerous source mainly spreads from respect of instant demand when fire is on, and the influence of the fire frequency is ignored. Secondly, the AHP of segment is always designed to calculate the measurement of ability for fire-fighting, but the applications of this kind of results are limited due to the lack of practical value. Finally, the standard is established to compare different allocations. Hereby the problem of allocating fire-fight resources from respect of system analysis is further discussed.The aim of allocation of fire-fight resources is to optimize fire-fight resource allocation according to certain allocating standard on the basis of the demand of fire protection dangerous source and the ability of f'tre-fighting. The demand of fire protection dangerous resource is the result of the fatalness and fire frequency, while the ability of fire-fighting is the integrated effect of fire extinguishing dosage, firemen, fire protection equipments and communication facilities as well. The allocation of fire-fight resources must follow several principals such as holistic principal, dynamic principal, balance principal and practical principal. On the basis of these conclusions, the three sections are further studied respectively. First summarize the characteristics of deterministic demand of fire protection dangerous source is summarized. It is of several levers and the demand for fire extinguishing dosage is basis of the whole demand system, and the demand for fire extinguishing dosage lies in two aspects which are the flux and gross of dosage. Furthermore stochastic demand to amend the limitation of deterministic demand is proposed, which constitutes factors of deterministic demand and fire frequency.The key point of calculating stochastic demand is to get the value of fire's frequency determined by the characteristics of fire protection dangerous source, so the simulation method using the historical data of fire frequency and parameters of fire protection dangerous source and design neural network algorithm is put forward. In the example of oilcan, a satisfied result is obtained using the neural network in which the equivalent of dangerous resource, the ration of usage, the index of production hazard are selected as in-put parameters and historical data of fire frequency perform out-put parameter.Because inexact calculation lies in the ambitious dimensions for the ability of fire-fighting in traditional research, the flux and gross of fire extinguishing dosage being as the dimensions are brought forward which not only match the demand of fire protection dangerous source but also can evaluate the ability objectively. Because the ability of fire-fighting depends on the fire-fight resource amount and its structure as well, a theory is suggested which means the ability of the system is determined by the scantest resource, thus a model and an algorithm are designed to calculate fire-fight ability through analyzing the amount of the scantest resource and the ratios among the resources. A case of three firehouses is applied to testify the effect of the model.The fire-fight resource allocation scheme is of two types: firehouse allocation scheme and fire-fighting loop allocation, and the allocating method for the two schemes in accordance with their allocation principles are reached. To compare these two allocation schemes, I propose the concept of cost of fire protection dangerous source and calculate the costs for the two allocation schemes, from which conclusions can be got: fire-fighting loop allocation scheme is better than firehouse allocation scheme and the cost of fire-fighting loop allocation scheme differs a lot when the amount of allocation resource is different. Hereby the problem of optimization of the loop is studied that is how much resources should be invested to ensure the lowest cost. An optimized model is designed to get the optimized resource amount which is measurable criterion for optimization of the loop.This paper mainly focuses on the relevant problems of fire-fight resource allocation and develops the theories to be more scientific and logical.