CAJ | 학술논문

以公路液化天然气( LNG)运输为例，设计了一个危险品运输风险监测和控制系统，在传统的风险监测系统的基础上，提出了一种应急预案生成方法。该方法结合基于遗传算法( GA)的聚类和基于案例的推理( CBR)模型，解决了传统监测系统无法给出应急措施的问题。在聚类时，为各参数增加了权值，实验表明，使得应用本算法查找到的相似案例更具有可参考性和实用性。该系统能够大大缩短发现异常到采取行动之间的响应时间，从而有效降低事故发生率。
이공로액화천연기( LNG)운수위례，설계료일개위험품운수풍험감측화공제계통，재전통적풍험감측계통적기출상，제출료일충응급예안생성방법。해방법결합기우유전산법( GA)적취류화기우안례적추리( CBR)모형，해결료전통감측계통무법급출응급조시적문제。재취류시，위각삼수증가료권치，실험표명，사득응용본산법사조도적상사안례경구유가삼고성화실용성。해계통능구대대축단발현이상도채취행동지간적향응시간，종이유효강저사고발생솔。
A system of risk monitoring and control for dangerous goods transportation was designed in this paper, in which the transportation of Liquefied Natural Gas ( LNG) on roads was taken as an example. Combining clustering based on Genetic Algorithm ( GA) with Case-Based Reasoning ( CBR) , a method of generating emergency plans was proposed based on the risk monitoring system of traditional dangerous good transportation. It solves the problems that the traditional system cannot get emergency plans. Weights were used when clustering. The experiments show that the algorithm has a good reference and practicability. The system can reduce the response time from the abnormal parameters are found to the effective measures are taken, and finally reduce the possibility of accidents.