含硫氣田井噴事故公共報(bào)警理論及系統(tǒng)開發(fā)的研究
[Abstract]:In recent decades, there have been many blowout accidents in sulfur-containing gas fields, which bring great harm to the safety and health of the surrounding residents, employees and the surrounding environment. Public alarm is one of the important measures to protect the public in well blowout accidents, but the traditional wide area alarm system has too large an impact, which can easily cause panic in the surrounding safety area. The distribution area of sulfur-bearing gas wells in China is characterized by complex geographical environment, scattered residents, fragile wired communication network, etc. Therefore, the basic theory of public alarm for well blowout accidents in sulfur-bearing gas fields is studied. Therefore, it is of great significance to develop a reliable wireless public alarm system in controllable areas for reducing casualties and ensuring rapid and efficient disaster avoidance and disaster relief activities. Based on the methods of theoretical analysis, simulation and case application, system design and research and development, and evaluation of system effectiveness, this paper studies the theory and technology of public alarm for well blowout accidents in sulfur-bearing gas fields. Based on the temporal and spatial distribution of personnel in regional evacuation, a two-layer network model of alarm propagation based on traffic evacuation network and social network is established by theoretical analysis. Then, by introducing the human body vulnerability model, a quantitative evaluation method for evacuation risk of well blowout accident in sulfur-bearing gas field is put forward. Based on this, a two-objective optimization model (BOPM),) for alarm receiver deployment in a public alarm system is established. Based on greedy strategy, a practical algorithm is designed to obtain a better feasible solution to the BOPM problem. Finally, by using the theory and method of graph and multi-objective optimization in operational research, the multi-objective optimization model of emergency path is established. Based on the heuristic idea, a static and dynamic algorithm is proposed to solve the model. The termination condition, the time complexity and the advantages of the algorithm are analyzed in detail. Through the simulation of the alarm propagation model, it is concluded that the longer the evacuation time is available or the higher the proportion of alarm receiving equipment is, the better the alarm effect is, and the closer the social relationship is under the same alarm effect. The fewer alarm receiving devices need to be deployed, the analysis of the application examples of BOPM model shows that, in reducing deployment cost and reducing road congestion level, The optimal deployment method proposed in this paper is superior to the traditional average deployment method, and the random road network and real road network test of MOOP model and its algorithm are carried out. It is concluded that the MOOP model and algorithm are feasible and effective in the practical emergency path decision problem, which is suitable for the bottom algorithm of generating alarm text information in the public alarm system of well blowout accidents in sulfur-bearing gas fields. On the basis of the above theoretical analysis, this paper develops a public alarm system for well blowout accidents in sulfuric gas fields based on the technology of addressable frequency modulation broadcasting, and presents a distributed software system at the launching end of the system. The design and implementation of the receiver hardware and embedded software are presented. Finally, the Queuing model, the Probit model and the index system of the system effectiveness evaluation are established, so as to set up the public alarm system for the sulfur-containing gas field. Technical support is provided for improvement and optimization.
【學(xué)位授予單位】:北京科技大學(xué)
【學(xué)位級(jí)別】:博士
【學(xué)位授予年份】:2015
【分類號(hào)】:TE28
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