Integrated Monitoring, Analysis, Diagnostic, and Control Management System Development for Metro Air Conditioning Equipment Environmental Health Data

Project Background

In recent years, with the rapid development of rail transit industry, the number of rail vehicles in operation in major cities has increased year by year. The integrated and efficient management of air conditioning, the core component of rail transit, will directly affect the safety and comfort of subway operation. In order to provide a more intelligent and convenient management platform for the operators of a subway line in Shenzhen, the equipment of each train and unit is managed in an integrated way. Based on the comprehensive health monitoring, fault early warning and life management of the train line group, the subway air conditioning health management system is built by you and a listed company in China.

Project Introduction

Advanced sensor technology is used to obtain the running status information of the air conditioning system. With the help of intelligent reasoning algorithm, according to the status and environmental factors in the air conditioning system, the condition monitoring, fault diagnosis and prediction of the air conditioning system are carried out in the form of web terminal, the future monitoring status of the air conditioning system is evaluated, and maintenance suggestions are put forward. It is transformed into online, dynamic and automatic monitoring, making real-time diagnosis of air conditioning units and accurately grasping their monitoring status, which provides an effective means for realizing the intelligent management of air conditioning unit health, and plays an important role in ensuring the reliability of the whole life cycle operation and improving the efficiency of operation and maintenance.

Main functions

1.Fault diagnosis function based on fault cases and data mining realizes accurate fault location, and gives maintenance suggestions and troubleshooting plans, so as to save unnecessary maintenance and reduce operation and maintenance time. 3. According to the change trend of the symptom information (structural characteristics, functional parameters, environmental conditions and historical operation) in the process of component degradation, predict the evolution trend of the failure, infer the remaining effective service life and health status of the equipment, and make reasoning decisions on the replacement and maintenance of the air conditioning unit components