| As an important part of urban public transportation,subway transportation provides a fast and convenient way for urban residents to travel.However,as an important safety equipment in metro stations,subway screen doors have long suffered from inconvenient operation and maintenance management,high failure rate,artificial missed detection and high cost maintenance,which affect the safety and security of passengers and the normal operation of metro stations.With the development of the Internet of Things,artificial intelligence and other technologies,the use of advanced technology for intelligent operation and maintenance management of hardware equipment has become the development trend of various industries.Based on this,this paper designs an intelligent operation and maintenance platform solution for the maintenance and management of subway screen doors,and the main work carried out in the paper is as follows:(1)for the traditional subway screen door operation and maintenance there are information islands,the number of devices,a large amount of data difficult to process and manage and other problems,designed a shield door-oriented intelligent operation and maintenance platform.Firstly,the user,function and performance requirements related to the actual shield door operation and maintenance are analyzed;secondly,the overall architecture,layered architecture,functional architecture and network architecture of the platform are designed based on frontend and back-end separation and microservice technology,which makes the platform highly available and scalable due to the low coupling between front-end and back-end services and each service can be independently deployed and upgraded and expanded;finally,the actual Finally,the actual business processes and functions are designed,such as: single sign-on technology to solve the platform multi-system login and security problems,lightweight messaging protocol MQTT and full-duplex communication protocol Web Socket to achieve real-time visualization of line monitoring,and stream computing engine to solve the problem of high concurrent computation of massive timing data.As a result,it liberates the redundant manual operation and maintenance work,improves the efficiency of maintaining the shield door equipment,and thus increases the subway operation efficiency and safety.(2)To address the problems of high cost and high reliance on manual experience in traditional subway screen door diagnosis,an intelligent diagnosis method combining CART algorithm and fault tree analysis is proposed to be applied to subway screen door equipment.The diagnosis method uses the real data collected from the shield door test bench to extract features using Kruskal-Wallis algorithm,and divides the data set using ten-fold cross-validation,and inputs the relevant feature data into the CART decision tree model for identification.The decision tree model was used to analyze the electromagnetic lock jam and synchronous belt wear broken tooth data,and the results showed that the recognition accuracy of the two faults reached 93.6% and 83.2%,respectively;meanwhile,by comparing with other classification algorithms,it was concluded that the method can effectively diagnose the electromagnetic lock and synchronous belt faults of shielded doors with high recognition rate.In addition,the fault tree of the motor and door body is constructed using the fault tree analysis method,which can provide some reference value for the fault diagnosis of the shielded door.The proposed method enables the platform to complete intelligent diagnosis independently without manual operation.(3)The O&M platform is implemented and tested for the feasibility of the shield door O&M platform in real scenarios.The platform’s single sign-on,home page,basic management,equipment management,line monitoring,alarm management,statistical analysis and inventory management functions were implemented.Under the simulated normal operating environment of the subway,the O&M platform was tested with multiple devices concurrently for stress and black box functions,and the structure showed that: the CPU,memory occupation and network transmission of the server were stable,there was no downtime,and the functional test cases met the expected requirements.The test results verify the feasibility of this intelligent operation and maintenance platform in the actual operation process of subway screen doors.In summary,in the context of the development of transportation information technology,in order to solve the problems related to the traditional subway screen door operation and maintenance and fault diagnosis,this paper proposes to combine the design and development of big data platform with CART fault diagnosis model for the intelligent diagnosis of subway screen door,which can provide technical reference for the intelligent information technology of subway screen door. |
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