Intelligent monitoring system for subway platform door

Abstract

The invention discloses an intelligent monitoring system for a subway platform door, and relates to the technical field of intelligent monitoring. The method comprises the following steps that platform door operation data are transmitted to a station PC terminal; the site PC terminal preprocesses the data and then sends the data to the switch; the camera collects a panel image of the power supply control system, identifies indicator light information and key information of the panel, and sends the information to the switch; the various sensors collect environment data of the equipment room and transmit the environment data to the line server through the comprehensive monitoring network, and indicator light information, key information and platform door operation data are sent to the line server. And the line server analyzes the uploaded data and sends an analysis result to the management end PC. According to the system, the operation state, fault information, PSL / IBP and other operation and use conditions of the platform door of each station are remotely monitored in real time through the system, the state and fault information of the power supply system are monitored in real time, the monitoring strength and supervision efficiency of the subway platform door are improved, and the workload of platform door management personnel is reduced.

Description

Technical Field

[0001] The invention belongs to the technical field of intelligent monitoring, and in particular relates to an intelligent monitoring system for subway platform doors. Background Art

[0002] The door system of the subway platform is a barrier between people and trams. Whether all the equipment of the door system works normally is directly related to the personal safety of passengers on the platform. The monitoring of the door system must be real-time and reliable. At present, the platform door equipment of each station on the subway line is relatively independent, and the door status of each station can only be viewed at the workstation in the equipment room of the station. Therefore, when a platform door fails, the workers cannot find it immediately. The station staff needs to report the fault information to the line value, and then report it to the line dispatcher, and then transfer it to the production dispatcher through the line dispatcher. Then the production dispatcher notifies the personnel before receiving the fault, and the fault response time is relatively long. In addition, after receiving the fault, the workers need to go to the station to check the fault record, determine the cause of the fault, and go to the nearest spare parts station to take the corresponding spare parts for fault repair. The efficiency of the entire fault handling is low. Summary of the invention

[0003] The purpose of the present invention is to provide an intelligent monitoring system for subway platform doors, which can remotely monitor the operating status of platform doors at various stations in real time, record the operating trends of their monitoring parameters, judge the operating status of components based on the changing characteristics of their monitoring parameters and give a fault report, thereby solving the problems of insufficient monitoring of existing subway platform doors and low fault handling efficiency.

[0004] In order to solve the above technical problems, the present invention is achieved through the following technical solutions:

[0005] The present invention is a subway platform door intelligent monitoring system, comprising a front-end layer, a business service layer, a basic service layer, a data access layer, a data storage layer and a platform support layer;

[0006] The front-end layer includes a WEB terminal, a PC terminal, a lower computer and a third-party application API; the lower computer includes a platform door, various sensors, a camera and a card reader; the front-end layer is connected to the business layer through a two-way communication with the API access layer;

[0007] The business service layer includes a collection service unit, a maintenance service unit, a daily service unit, and a basic data service unit; the collection service unit includes a platform door data collection module, an equipment data module, an instrument data module, and a camera module; the maintenance service unit includes an inspection service module, a daily maintenance module, a special maintenance module, an emergency maintenance module, a fault maintenance module, a temporary task module, and an emergency plan module; the inspection service module is used to plan and implement inspection tasks for subway platform doors; the daily maintenance module is used to record the content of equipment maintenance operations; the special maintenance module is used to record the content of special equipment maintenance operations; the emergency maintenance module is used to arrange emergency repair work in emergencies; the fault maintenance module is used to arrange repair work after a failure occurs in the equipment or system during operation; the temporary task module is used to temporarily issue tasks to the administrator terminal; the emergency plan module is used to pre-formulate work plans for emergencies;

[0008] The basic service layer includes an application service module, a message service module, a log service module, a collection service module, a monitoring service module and an external interface service module;

[0009] The data access layer includes a data access interface, a data synchronization interface, a data cache and a file access interface;

[0010] The data storage layer includes a central database and a data cache;

[0011] The platform support layer includes station servers, line network servers and VPN access;

[0012] The business service layer, basic service layer, data access layer, data storage layer and platform support layer are connected in bidirectional communication in sequence.

[0013] As a preferred technical solution, the workflow of the intelligent monitoring system is as follows:

[0014] Step S1: The platform door operation data is transmitted to the station PC via the RS485 bus;

[0015] Step S2: The site PC pre-processes the data and sends it to the integrated monitoring existing switch;

[0016] Step S3: The camera collects the image of the power control system panel, identifies the indicator light information and button information of the panel, and sends it to the integrated monitoring existing switch;

[0017] Step S4: multiple sensors collect environmental data between devices and transmit it to the line server through the integrated monitoring network;

[0018] Step S5: Comprehensive monitoring of the existing switch also sends the indicator light information, button information and platform door operation data to the line server through the comprehensive monitoring network;

[0019] Step S6: The line server analyzes the uploaded data and sends the analysis result to the management PC.

[0020] As a preferred technical solution, in step S1, the platform door operation data monitors the platform door operation status, fault information and operation status of the signal input port of each station in real time; the monitoring equipment of the platform door operation status includes: a sensor, a data acquisition module, a data monitoring module, a processor, an LCD display screen, an obstacle detection device, and a door control unit; the sensor is used to collect wind pressure data and deformation data borne by the platform door; the data acquisition module is used to collect monitoring data borne by at least one platform door; the data monitoring module is electrically connected to the data acquisition module to receive and process the collected data; the processor is used to process various types of information collected from the platform or equipment room; the LCD display screen is set above the platform door cover plate to display the passenger density of the carriage, the train arrival time, the fast and slow train information, the weather, and the advertising information in real time; the obstacle detection device is used to detect whether there is an obstacle in the platform door area; the door control unit receives the wind pressure data and deformation data sent by the processor, determines the pressure borne by the platform door, and dynamically adjusts the judgment threshold of the anti-pinch detection function, as well as the door opening force and the door closing force.

[0021] As a preferred technical solution, in step S2, the process of preprocessing data by the site PC is as follows:

[0022] Step S21, erroneous data elimination: Use edge computing technology to preliminarily screen the data, extract abnormal or erroneous data, and ensure the accuracy and reliability of the data;

[0023] Step S22, data caching: caching the processed data for subsequent analysis and use. This helps to reduce data transmission delays and improve system response speed;

[0024] Step S23, data standardization processing: normalizing and de-dimensionalizing the data to eliminate the dimensional effects between different indicators and make the data more comparable;

[0025] Step S24, feature extraction: extracting key features from the standardized data, such as time domain features, frequency domain features, etc., which can reflect the main information of the platform door operation status;

[0026] Step S25, data analysis: using the extracted features to perform data analysis, predicting the failure time of the platform door or evaluating its operating status; at the same time, the operating trend of the platform door can also be analyzed in combination with historical operating data to provide a basis for operation and maintenance decisions;

[0027] Step S26, result output and display: The analysis results are displayed to passengers in real time through the LCD display screen, and passengers can understand the operating status of the platform door, as well as other relevant information such as train arrival time, fast and slow train information, etc. based on the displayed information.

[0028] As a preferred technical solution, in step S23, the specific process of the site PC pre-processing the data and then sending it to the integrated monitoring existing switch is as follows:

[0029] Step S231: Create a corresponding JSON string based on the system format for the normalized data, and use the ZigBee module to perform wireless data transmission;

[0030] Step S232: when uploading data, the device information and routing address are read by using the collection applet designed for comprehensive monitoring of existing switches;

[0031] Step S233: Comprehensively monitor the existing switches to analyze the uploaded data;

[0032] Step S234: storing the original data and the analyzed data.

[0033] As a preferred technical solution, in step S3, the camera collects the panel image of the power control system, and identifies the indicator light information and button information of the panel through panel recognition trained by a deep learning algorithm. The specific training process is as follows:

[0034] Step S31: The camera collects the image of the power control system panel for processing;

[0035] Step S32: rotating, scaling and data enhancement of the image;

[0036] Step S33: extracting features from the data to extract feature vectors of the image;

[0037] Step S34: setting a panel sample of the power control system, and marking the rotation angles of various indicator lights, buttons, and knobs on the panel;

[0038] Step S35: Perform similarity matching between the feature vector of the image and the panel sample, so as to determine the current state of the panel.

[0039] As a preferred technical solution, in step S5, the comprehensive monitoring of existing switches has a built-in custom judgment engine, which directly judges whether the data is abnormal. When abnormal data occurs, the comprehensive monitoring of existing switches will pass the abnormal information to experts for investigation. After the experts have checked and analyzed that the abnormality does exist, the comprehensive monitoring of existing switches will send the abnormal point to the maintenance personnel.

[0040] As a preferred technical solution, the platform door operating status includes: sliding door open state, sliding door closed state, emergency door open state, emergency door closed state, end door open state, end door closed state, sliding door motor operating speed, sliding door motor current, temperature and humidity of each equipment, position of each mechanical component and platform door system operating instructions.

[0041] The present invention has the following beneficial effects:

[0042] (1) The system of the present invention remotely monitors the operation status, fault information, PSL / IBP and other operation and use conditions of the platform doors of each station in real time through the system, monitors the status and fault information of the power supply system in real time, improves the monitoring intensity and supervision efficiency of subway platform doors, and reduces the workload of platform door management personnel;

[0043] (2) The present invention can monitor the main components, record the operating trends of the monitoring parameters, store historical data, and integrate an automatic diagnosis expert system. The operating status of the components can be judged according to the change characteristics of the monitoring parameters. When the parameter trend deteriorates, an alarm is issued in time and a fault report is given, providing strong data support for equipment maintenance.

[0044] (3) The present invention reduces the workload of platform door management personnel by analyzing and statistical work such as fault analysis statistics. At the same time, managers at all levels can view reports such as platform door operation status and fault analysis through this platform, which facilitates the management of platform doors.

[0045] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0047] Figure 1 It is a structural schematic diagram of a subway platform door intelligent monitoring system of the present invention;

[0048] Figure 2This is the workflow diagram of the intelligent monitoring system. DETAILED DESCRIPTION

[0049] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0050] In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0051] In order to make the purpose, technical solutions and advantages of this application more clear, the following Figure 1-2 It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0052] See also Figure 1 As shown, the present invention is a subway platform door intelligent monitoring system, including a front-end layer, a business service layer, a basic service layer, a data access layer, a data storage layer and a platform support layer;

[0053] The front-end layer includes the WEB terminal, PC terminal, lower computer and third-party application API; the lower computer includes the platform door, various sensors, cameras and card readers; the front-end layer is connected to the business layer through two-way communication with the API access layer;

[0054] The business service layer includes the collection service unit, maintenance service unit, daily service unit, and basic data service unit; the collection service unit includes the platform door data collection module, equipment data module, instrument data module, and camera module; the maintenance service unit includes the inspection service module, daily maintenance module, special maintenance module, emergency maintenance module, fault maintenance module, temporary task module, and emergency plan module; the inspection service module is used to plan and implement the inspection tasks of subway platform doors; the daily maintenance module is used to record the content of equipment maintenance operations; the special maintenance module is used to record the content of special equipment maintenance operations; the emergency maintenance module is used to arrange emergency repair work in emergencies; the fault maintenance module is used to arrange repair work after a failure occurs in the equipment or system during operation; the temporary task module is used to temporarily issue tasks to the administrator terminal; the emergency plan module is used to prepare work plans in advance for emergencies;

[0055] The basic service layer includes application service module, message service module, log service module, collection service module, monitoring service module and external interface service module; the data access layer includes data access interface, data synchronization interface, data cache and file access interface; the data storage layer includes central database and data cache; the platform support layer includes station server, line network server and VPN access; the business service layer, basic service layer, data access layer, data storage layer and platform support layer are connected in bidirectional communication in sequence.

[0056] See also Figure 2 As shown in the figure, the working process of the intelligent monitoring system is as follows:

[0057] Step S1: The platform door operation data is transmitted to the station PC via the RS485 bus;

[0058] Step S2: The site PC pre-processes the data and sends it to the integrated monitoring existing switch;

[0059] Step S3: The camera collects the image of the power control system panel, identifies the indicator light information and button information of the panel, and sends it to the integrated monitoring existing switch;

[0060] Step S4: multiple sensors collect environmental data between devices and transmit it to the line server through the integrated monitoring network;

[0061] Step S5: Comprehensive monitoring of the existing switch also sends the indicator light information, button information and platform door operation data to the line server through the comprehensive monitoring network;

[0062] Step S6: The line server analyzes the uploaded data and sends the analysis result to the management PC.

[0063] In step S1, the platform door operation data monitors the platform door operation status, fault information and operation status of the signal input port of each station in real time; the monitoring equipment of the platform door operation status includes: sensors, data acquisition modules, data monitoring modules, processors, LCD display screens, obstacle detection devices, and door control units; various sensors are arranged in the platform door system, such as wind pressure sensors, displacement sensors, etc., to collect wind pressure data and deformation data borne by the platform doors. These sensors can monitor the operation status of the platform doors in real time and transmit the data to the station PC; the data acquisition module is used to collect monitoring data borne by at least one platform door, such as wind pressure data and deformation data, etc.; the data monitoring module is electrically connected to the data acquisition module to receive and process the collected data. The module will compare and analyze the data according to the preset threshold, determine the status information of each platform door, and generate alarm information when necessary; the processor is used to process various types of information collected from the platform or equipment room, and output various status, alarm, warning, and prediction information by establishing a continuous optimization mechanism and mathematical model for comprehensive processing. The LCD display screen is arranged above the platform door cover plate, which is used to display the passenger density of the carriage, train arrival time, fast and slow train information, weather, advertisements and other information in real time, providing passengers with intuitive waiting information; the obstacle detection device is used to detect whether there are obstacles in the platform door area; the door control unit receives the wind pressure data and deformation data sent by the processor, determines the pressure borne by the platform door, and dynamically adjusts the judgment threshold of the anti-pinch detection function, as well as the door opening force and door closing force; insulation detection equipment can also be provided to visually detect the insulation value of the platform door to the ground, obtain long-term insulation value change data, analyze and warn, so as to ensure the safety of passengers.

[0064] In step S2, the process of preprocessing data by the site PC is as follows:

[0065] Step S21, erroneous data elimination: Use edge computing technology to preliminarily screen the data, extract abnormal or erroneous data, and ensure the accuracy and reliability of the data;

[0066] Step S22, data caching: caching the processed data for subsequent analysis and use. This helps to reduce data transmission delays and improve system response speed;

[0067] Step S23, data standardization processing: normalizing and de-dimensionalizing the data to eliminate the dimensional effects between different indicators and make the data more comparable;

[0068] Step S24, feature extraction: extracting key features from the standardized data, such as time domain features, frequency domain features, etc., which can reflect the main information of the platform door operation status;

[0069] Step S25, data analysis: using the extracted features to perform data analysis, predicting the failure time of the platform door or evaluating its operating status; at the same time, the operating trend of the platform door can also be analyzed in combination with historical operating data to provide a basis for operation and maintenance decisions;

[0070] Step S26, result output and display: The analysis results are displayed to passengers in real time through the LCD display screen, and passengers can understand the operating status of the platform door, as well as other relevant information such as train arrival time, fast and slow train information, etc. based on the displayed information.

[0071] In step S23, the specific process of the site PC pre-processing the data and then sending it to the integrated monitoring existing switch is as follows:

[0072] Step S231: Create a corresponding JSON string for the normalized data according to the system format, and use the ZigBee module to perform wireless data transmission; the sensor, as an important component of the designed system, monitors the environmental data by combining with the microcontroller. The microcontroller model configured in the system is ARMCortex-M3, and the ZigBee module is used to perform wireless data transmission, and the sensor is combined to sense the environmental information of the inspection laboratory. The sensor transmits the collected signal to the microcontroller through the amplifier, and uses the microcontroller to perform data conversion operations, and transmits it to the server through ZigBee for easy processing.

[0073] Step S232: when uploading data, the device information and routing address are read by using the collection applet designed for comprehensive monitoring of existing switches;

[0074] Step S233: Comprehensively monitor the existing switches to parse the uploaded data; it is mainly divided into two categories: basic management and project management. Basic management aims to operate data storage methods, equipment coding, data table creation, etc.; project management aims to maintain equipment coding, data location, etc. It should be noted that the data parsing operation is relatively complex and contains fixed or cyclic data items. Therefore, relevant parsing rules must be set;

[0075] Step S234: The original data and the data after parsing are stored. The system supports Windows 7 and later versions of the client and is equipped with a SQL Server 2024 database to facilitate data storage operations. The system supports the storage of the following data: (1) business management data information; (2) storage of inspection data, including original data; data processed by parsing; (3) storage of other types of data, such as communication log files, etc.

[0076] In step S3, the camera collects the panel image of the power control system, and identifies the indicator light information and button information of the panel through panel recognition trained by the deep learning algorithm. The specific training process is as follows:

[0077] Step S31: The camera collects the image of the power control system panel for processing;

[0078] Step S32: rotating, scaling and data enhancement of the image;

[0079] Step S33: extracting features from the data to extract feature vectors of the image;

[0080] Step S34: setting a panel sample of the power control system, and marking the rotation angles of various indicator lights, buttons, and knobs on the panel;

[0081] Step S35: Perform similarity matching between the feature vector of the image and the panel sample, so as to determine the current state of the panel.

[0082] In step S5, the comprehensive monitoring of existing switches has a built-in custom judgment engine, which directly judges whether the data is abnormal. When abnormal data occurs, the comprehensive monitoring of existing switches will pass the abnormal information to experts for investigation. After the experts have checked and analyzed that the abnormality does exist, the comprehensive monitoring of existing switches will send the abnormal point to the maintenance personnel, and can promptly discover the problem and solve it using the expert database. Through the expert database, expert maintenance suggestions can be given and expert support can be provided for the faults found, so that the equipment can quickly resume normal operation.

[0083] The platform door operating status includes: sliding door open status, sliding door closed status, emergency door open status, emergency door closed status, end door open status, end door closed status, sliding door motor operating speed, sliding door motor current, temperature and humidity of each equipment, position of each mechanical component and platform door system operating instructions.

[0084] It is worth noting that in the above system embodiment, the various units included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0085] In addition, those skilled in the art can understand that all or part of the steps in the above-mentioned embodiments can be completed by instructing related hardware through a program, and the corresponding program can be stored in a computer-readable storage medium.

[0086] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A subway platform door intelligent monitoring system, comprising a front-end layer, a business service layer, a basic service layer, a data access layer, a data storage layer and a platform support layer, characterized in that: The front-end layer includes a WEB terminal, a PC terminal, a lower computer and a third-party application API; the lower computer includes a platform door, various sensors, a camera and a card reader; the front-end layer is connected to the business layer through a two-way communication with the API access layer; The business service layer includes a collection service unit, a maintenance service unit, a daily service unit, and a basic data service unit; the collection service unit includes a platform door data collection module, an equipment data module, an instrument data module, and a camera module; the maintenance service unit includes an inspection service module, a daily maintenance module, a special maintenance module, an emergency maintenance module, a fault maintenance module, a temporary task module, and an emergency plan module; the inspection service module is used to plan and implement inspection tasks for subway platform doors; the daily maintenance module is used to record the content of equipment maintenance operations; the special maintenance module is used to record the content of special equipment maintenance operations; the emergency maintenance module is used to arrange emergency repair work in emergencies; the fault maintenance module is used to arrange repair work after a failure occurs in the equipment or system during operation; the temporary task module is used to temporarily issue tasks to the administrator terminal; the emergency plan module is used to pre-formulate work plans for emergencies; The basic service layer includes an application service module, a message service module, a log service module, a collection service module, a monitoring service module and an external interface service module; The data access layer includes a data access interface, a data synchronization interface, a data cache and a file access interface; The data storage layer includes a central database and a data cache; The platform support layer includes station servers, line network servers and VPN access; The business service layer, basic service layer, data access layer, data storage layer and platform support layer are connected in bidirectional communication in sequence.

2. The intelligent monitoring system for subway platform doors according to claim 1 is characterized in that: The workflow of the intelligent monitoring system is as follows: Step S1: The platform door operation data is transmitted to the station PC via the RS485 bus; Step S2: The site PC pre-processes the data and sends it to the integrated monitoring existing switch; Step S3: The camera collects the image of the power control system panel, identifies the indicator light information and button information of the panel, and sends it to the integrated monitoring existing switch; Step S4: multiple sensors collect environmental data between devices and transmit it to the line server through the integrated monitoring network; Step S5: Comprehensive monitoring of the existing switch also sends the indicator light information, button information and platform door operation data to the line server through the comprehensive monitoring network; Step S6: The line server analyzes the uploaded data and sends the analysis result to the management PC.

3. The intelligent monitoring system for subway platform doors according to claim 2 is characterized in that: In step S1, the platform door operation data monitors the platform door operation status, fault information and operation status of the signal input port of each station in real time; The monitoring equipment for the platform door operation status includes: a sensor, a data acquisition module, a data monitoring module, a processor, an LCD display screen, an obstacle detection device, and a door control unit; The sensor is used to collect wind pressure data and deformation data borne by the platform door; the data acquisition module is used to collect monitoring data borne by at least one platform door; the data monitoring module is electrically connected to the data acquisition module, and is used to receive and process the collected data; the processor is used to process various types of information collected from the platform or equipment room; the LCD display screen is arranged above the platform door cover plate, and is used to display the passenger density of the carriage, the arrival time of the train, the fast and slow train information, the weather, and the advertising information in real time; the obstacle detection device is used to detect whether there are obstacles in the platform door area; the door control unit receives the wind pressure data and deformation data sent by the processor, determines the pressure borne by the platform door, and dynamically adjusts the judgment threshold of the anti-pinch detection function, as well as the door opening force and the door closing force.

4. The intelligent monitoring system for subway platform doors according to claim 2 is characterized in that: In step S2, the process of preprocessing data by the site PC is as follows: Step S21, error data elimination: use edge computing technology to preliminarily screen the data and extract abnormal or error data; Step S22, data caching: caching the processed data; Step S23, data normalization processing: normalizing the data; Step S24, feature extraction: extracting key features from the standardized data; Step S25, data analysis: using the extracted features to perform data analysis to predict the failure time of the platform door or evaluate its operating status; Step S26, result output and display: the analysis results are displayed to passengers in real time through the LCD display screen.

5. The intelligent monitoring system for subway platform doors according to claim 4 is characterized in that: In step S23, the specific process of the site PC pre-processing the data and then sending it to the integrated monitoring existing switch is as follows: Step S231: Create a corresponding JSON string based on the system format for the normalized data, and use the ZigBee module to perform wireless data transmission; Step S232: when uploading data, the device information and routing address are read by using the collection applet designed for comprehensive monitoring of existing switches; Step S233: Comprehensively monitor the existing switches to analyze the uploaded data; Step S234: storing the original data and the analyzed data.

6. The intelligent monitoring system for subway platform doors according to claim 2 is characterized in that: In step S3, the camera collects the panel image of the power control system, and identifies the indicator light information and button information of the panel through panel recognition trained by the deep learning algorithm. The specific training process is as follows: Step S31: The camera collects the image of the power control system panel for processing; Step S32: rotating, scaling and data enhancement of the image; Step S33: extracting features from the data to extract feature vectors of the image; Step S34: setting a panel sample of the power control system, and marking the rotation angles of various indicator lights, buttons, and knobs on the panel; Step S35: Perform similarity matching between the feature vector of the image and the panel sample, so as to determine the current state of the panel.

7. The intelligent monitoring system for subway platform doors according to claim 1 is characterized in that: In step S5, the integrated monitoring of existing switches has a built-in custom determination engine, which directly determines whether the data is abnormal. When abnormal data occurs, the integrated monitoring of existing switches transmits the abnormal information to experts for investigation. After the experts have checked and analyzed that the abnormality does exist, the integrated monitoring of existing switches sends the abnormal point to the maintenance personnel.

8. The intelligent monitoring system for subway platform doors according to claim 1, characterized in that: In step S6, the PC terminal visualizes the collected data, platform door operation status and analysis results. When a station on the line fails, the faulty station and fault information are displayed on the interface, accompanied by a sound alarm. After seeing the alarm information, the on-duty personnel can click the "Ignore" or "Confirm" button to eliminate the alarm status. When the fault is a repeated fault, click the "Ignore" button. When the fault is a formal fault, click the "Confirm" button to jump to the fault handling process auxiliary decision interface. When you click the "To be repaired" button to cancel the fault, you will jump to the "Solution" to view the fault handling process; When a station on the line fails, the faulty station and fault information are displayed on the interface, accompanied by a sound alarm. Click the "To be repaired" button to query the fault information to be repaired. Click the "Repair" button to pop up the "Repair Fault" interface. Select the spare parts name and enter the quantity. After the fault is repaired, the replaced spare parts will automatically generate an outbound order.

9. The intelligent monitoring system for subway platform doors according to claim 8, characterized in that: The platform door operating status includes: sliding door open status, sliding door closed status, emergency door open status, emergency door closed status, end door open status, end door closed status, sliding door motor operating speed, sliding door motor current, temperature and humidity of each device, position of each mechanical component and platform door system operating instructions.

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