Method for predicting and evaluating service life of computer interlocking system

Abstract

The invention belongs to the technical field of rail traffic control operation and maintenance, and provides a method for predicting and evaluating the service life of a railway signal computer interlocking system based on a neural network. The method comprises the following steps: first, designing life prediction neural network structure models for double-machine hot standby and double 2-vote-2 computer interlocking systems respectively; then, improving the accuracy of prediction by controlling the neuron transfer function and output function of a life prediction neural network and optimizingthe center neuron width; and finally, constraining the format of the input vector of the life prediction neural network based on operation equipment fault data, and predicting and evaluating the service life of the interlocking systems. The results of example verification show that compared with other methods, the method of the invention is more in line with the actual operation of the interlocking systems, has high prediction accuracy and can effectively support the operation safety of the systems and improve the rate of return on investment of interlocking equipment.

Description

technical field [0001] The invention belongs to the technical field of rail traffic control operation and maintenance, and relates to life prediction and evaluation of control equipment, in particular to a service life prediction and evaluation of a railway signal computer interlocking system. Background technique [0002] The computer interlocking system is the core technical equipment of railway signals, which plays a key role in the production of railway transportation. column) is safe to operate. At present, the computer interlocking used in my country's railways mainly includes two systems of hot backup and two-by-two. At this stage, the life cycle management of computer interlocking systems in my country is not standardized enough and lacks scientific and reasonable basis. The "Railway Signal Maintenance Rules" issued by the former Ministry of Railways in 2009 stipulates that the overhaul cycle of general signal equipment is 15 years. In actual operation, the overhau...

AI Technical Summary

Problems solved by technology

The method based on probability and statistics, due to some uncertain factors in the system, leads to a large deviation in the life prediction results; at this stage, the life prediction method based on information technology lacks attention to the structure of the control system, and is more common in technical systems in the aerospace field

The railway signal computer interlocking system has a unique hardware redundancy structure, which is quite different from the conventional industrial control system

Images