Font Size: a A A

Research On Identification And Assessment Of Hazard In Mine Hoisting Key Equipment Monitoring

Posted on:2010-06-03Degree:DoctorType:Dissertation
Country:ChinaCandidate:J ZhangFull Text:PDF
GTID:1101360308990013Subject:Mechanical design and theory
Abstract/Summary:PDF Full Text Request
Mine hoist system shoulders important responsibilities that include coal and gangue hoisting, material drawing, staffs and equipments transport. Its work status is directly related to the coal mine production and safety of workers. Therefore, in order to avoid hoisting system accidents, it is necessary to build such system which includes hazard identification and safety evaluation to monitor key factors. Thence, this paper establishes system of the fault tree of key equipments, first of all, with the fault tree of hoisting brake system, the sliding accident and rope breaking and so on. It clearly identifies the hazard of the hoisting system.The hazard which causes the accident of hoisting system becomes the important indexes for safety assessment. The first, the method of Delphi is used to quantize the safety evaluation index, the hazard analyzed by the fault tree. And then, aiming at these indicators, by the evaluation method of fuzzy fault tree analysis in the hazard identification and safety evaluation theory and method, the safety evaluation for the hoisting brake system and sliding accident is carried out, and then the index weight is determined between the indexes of major accident to the hoist.Because relation of system dangerous levels and risk factors is nonlinear, this paper adopts the method of neural network to the safety evaluation of hoisting system. Based on brake failure, the rope breaking and sliding accident events, we used them as the inputs of neural network and took the system security levels as outputs, and then we evaluated the safety of hoisting system, and calculated the value degree of the hazard of hoisting system accidents through the anti-values. Because the neural network algorithm is easy to fall into local minima point, the genetic algorithm is used for the optimization.According to the hazard analysis, firstly, monitor enforcement agency is designed and anti-skid braking system device is simulated. And then monitoring devices of hardware are selected and designed, at the same time, software is designed for lower computer and upper one. Hazard of mine hoisting monitoring devices are applied actually, it has played an important role on safety operation and achieved good social and economic benefits.
Keywords/Search Tags:safety assessment, hazard identification, the fault tree, neural network, genetic algorithm
PDF Full Text Request
Related items