Quality early warning management method for railway electric service vehicle-mounted equipment

Abstract

The invention relates to a quality early warning management method for railway electric service vehicle-mounted equipment, and the method is characterized in that the method comprises the following steps: (1), installing an online monitoring device on each locomotive, and connecting vehicle-mounted equipment; (2), returning online monitoring information; (3), recording an equipment standing book and resume into an equipment management system server; (4), distributing an operation task through equipment management system terminal equipment; (5), enabling the terminal equipment to share the service data information through a network; (6), enabling the management system terminal equipment to receive the returned online monitoring information in a wireless manner; (7), carrying out operation task prompt, equipment equality early warning, equipment fault alarm and equipment parameter automatic updating when a condition is met; (8), carrying out operation according to the operation task prompt and alarm prompt, automatically downloading and operating a record data file, and carrying out the automatic testing of a locomotive signal; (9), generating operation result supervision and operation behavior analysis information and the interaction information of operation process guide, and carrying out the automatic printing of a quality certificate if the condition is met.

Description

technical field [0001] The field of application of the invention is the railway electric service system. Background technique [0002] As the safe operation equipment of my country's railway trains, the electric on-board equipment has played a significant role in ensuring the safety of railway transportation, and the quality of on-board equipment is very important. However, at present, the quality management of on-board equipment mainly relies on people to control the card. Due to human errors or the existence of various factors such as the lack of advanced online monitoring methods, the LKJ train operation recording device will change the monitoring version, data version, and color display version incorrectly. Errors in time calibration, uncorrected or incorrectly corrected wheel diameter values, incomplete locomotive signal testing, hidden dangers in the quality of photoelectric speed sensors, air duct pressure sensors, and locomotive signal induction coils, hidden dangers...

AI Technical Summary

Problems solved by technology

However, at present, the quality management of on-board equipment mainly relies on people to control the card. Due to human errors or the existence of various factors such as the lack of advanced online monitoring methods, the LKJ train operation recording device will change the monitoring version, data version, and color display version incorrectly. Incorrect timing, uncorrected or incorrectly corrected wheel diameter, incomplete locomotive signal testing, hidden dangers in the quality of photoelectric speed sensors, air duct pressure sensors, and locomotive signal induction coils, hidden dangers in the quality of vehicle-mounted equipment, and hidden dangers in communication failures

The existence of these problems will directly affect the safety of train operation

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