Intelligent passageway door and electronic lock integrated management and control system

Abstract

The application provides an intelligent passageway door and electronic lock integrated management and control system, and belongs to the technical field of safety protection, and comprises a passageway door, a camera, an electronic lock, an edge computing terminal and a cloud platform, wherein the passageway door is arranged at the entrance and exit of a railway construction area, the camera and the electronic lock are arranged on the passageway door, and the opening and closing of the passageway door are controlled through the electronic lock; the video data of personnel at the passageway door is collected through the camera, personnel and clothing are recognized according to the video data through the edge computing terminal, the recognition result is checked, whether an abnormal situation occurs is judged according to the checking result, the abnormal situation is wirelessly transmitted to the cloud platform, and an alarm is given according to the abnormal situation through the cloud platform, so as to solve the problems of single management and control means and insufficient intelligent degree of the current railway passageway door.

Description

Technical Field

[0001] This invention relates to the field of security protection technology, and more specifically, to an integrated control system for intelligent access doors and electronic locks. Background Technology

[0002] With the rapid development of railway transportation, construction work on operating lines is becoming increasingly frequent, making the personal safety of workers a core concern in railway operation management. As a crucial gateway for workers entering and exiting construction areas, the effectiveness of gate control directly impacts both construction and train operation safety. Currently, railway gate management primarily relies on manual verification or simple electronic access control systems, resulting in limited control methods and insufficient intelligence. During work hours, personnel entry and exit verification largely depends on manual counting and registration, making accurate verification of personnel information difficult and prone to safety hazards such as missed personnel counts. During non-work hours, gates lack effective intelligent monitoring methods, resulting in insufficient detection of unauthorized entry and abnormal lock opening, making it difficult to promptly detect and address safety threats. Summary of the Invention

[0003] In view of this, the present invention proposes an integrated control system for intelligent access doors and electronic locks to solve the problems existing in the prior art.

[0004] To achieve the above objectives, this invention proposes an integrated control system for intelligent access doors and electronic locks, comprising: Access gates, cameras, electronic locks, edge computing terminals, and cloud platforms The passageway gate is located at the entrance and exit of the railway construction area. The camera and electronic lock are installed on the passageway gate. The electronic lock controls the opening and closing of the passageway gate. The camera collects video data of the personnel at the passageway gate. The edge computing terminal identifies the personnel and their clothing based on the video data, verifies the identification results, determines whether there are any abnormalities, and wirelessly transmits the abnormalities to the cloud platform. The cloud platform then issues an alarm based on the abnormalities.

[0005] Optionally, the railway construction operation plan can be obtained through a cloud platform and distributed to edge computing terminals. The edge computing terminals can then obtain the operation information, which includes the number of personnel, their identities, key personnel, and operation time. The identification results can be verified based on the operation information.

[0006] Optionally, during non-railway construction operations, non-construction operation video data is collected through cameras, and video analysis is performed on the non-construction operation video data through an edge computing terminal. Anomaly detection is performed on the video analysis results, and alarms are issued through a remote platform based on the anomaly detection results.

[0007] Optionally, the verification of the identification results includes: personnel statistics, clothing identification, and key personnel identification.

[0008] Optionally, anomaly detection of the video analysis results may include: unauthorized entry detection of passageway doors and abnormal opening checks of passageway doors.

[0009] Optionally, the cloud platform includes an equipment management module, a homepage integrated monitoring module, and an early warning center module; the equipment management module is used to uniformly maintain the basic information, status, and usage records of access doors, electronic locks, and cameras; the homepage integrated monitoring module is used to display the status of access doors, early warning statistics, and rolling information on construction tasks, and supports remote door opening and early warning processing; the early warning center module is used to integrate and manage all access door early warning records, and supports filtering and handling.

[0010] Optionally, the above system also includes a handheld terminal, which is used to provide construction preview, entry inventory, access door unlocking and exit inventory functions. The handheld terminal performs access door inventory, personnel identification, unlocking operations and process guidance, and realizes real-time interaction with on-site equipment.

[0011] On the other hand, the present invention also provides an integrated control method for intelligent access doors and electronic locks, including: The passage door is opened and closed by an electronic lock; video data of people at the passage door is collected by a camera, and the edge computing terminal identifies people and their clothing based on the video data. The identification results are verified, and it is determined whether any abnormalities have occurred. Any abnormalities are wirelessly transmitted to the cloud platform, and the cloud platform issues an alarm based on the abnormalities.

[0012] Compared with the prior art, the beneficial effects of the present invention are as follows: This invention addresses the shortcomings of current railway access control methods, which are often limited in scope and lack sufficient intelligence. It constructs an integrated access control system that combines smart locks, video recognition, edge computing, and a cloud platform, achieving 24 / 7 intelligent control during both working and non-working hours. During working hours, the system automatically counts personnel, identifies them, and checks their attire using AI video analysis algorithms built into the edge computing terminal. This replaces traditional manual counting and registration, effectively preventing omissions, miscounts, and non-compliant entry, ensuring accurate verification and traceability of personnel information. During non-working hours, the system uses a dual mechanism of illegal intrusion detection and abnormal unlocking detection to perceive and identify security threats in real time, filling blind spots in manual monitoring and promptly detecting and alerting to illegal intrusions and abnormal lock openings. By adopting a cloud-edge-device collaborative architecture, the edge computing terminal can independently complete on-site verification and alarm decisions even during network outages or fluctuations, reducing reliance on the central network and ensuring immediate response to control commands and alarm information. Meanwhile, the cloud platform provides unified maintenance and centralized management of equipment such as door locks and cameras, breaking down data silos and forming a closed-loop control system covering the entire process from on-site perception, edge decision-making, remote alarms to post-event traceability, providing complete data support and decision-making basis for railway construction safety management. Attached Figure Description

[0013] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. In the drawings: Figure 1 This is a diagram illustrating the integrated control system architecture of the intelligent access door and electronic lock in this embodiment of the invention. Figure 2 This is a diagram of the electronic interaction architecture in an embodiment of the present invention; Figure 3 This is a flowchart illustrating the AI ​​control process within the sunroof in an embodiment of the present invention. Figure 4 This is a flowchart illustrating the AI ​​control process outside the sunroof in an embodiment of the present invention. Detailed Implementation

[0014] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the disclosure to those skilled in the art. It should be noted that, unless otherwise specified, the embodiments and features described herein can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0015] This embodiment proposes an integrated control system for intelligent access doors and electronic locks, such as... Figure 1-2 As shown, it includes: Access gates, high-definition cameras, smart electronic locks, edge computing terminals, and cloud platforms; The access gate is located at the entrance of the railway construction area to control the entry and exit of construction personnel. The gate is equipped with a high-definition camera and a smart electronic lock. The gate's opening and closing are controlled by the smart electronic lock. When the lock is opened, the high-definition camera captures video data of personnel entering the gate. An edge computing terminal then performs personnel and clothing identification on the captured video data. The identification results are verified, including personnel statistics, clothing recognition, and identification of key personnel. Based on the verification results, any anomalies are determined and wirelessly transmitted to the cloud platform, which then issues an alarm.

[0016] In the cloud platform, the railway construction operation plan is obtained through the cloud platform and then distributed to the edge computing terminal. The edge computing terminal obtains operation information such as the number of personnel, their identities, key personnel, and operation time. The operation information is used as basic information for verification on the edge computing terminal.

[0017] Meanwhile, the high-definition camera also collects relevant video data in real time during non-operation periods, performs video analysis on the video data, and conducts detection based on the video analysis results. The detection includes illegal intrusion detection of passageway doors and abnormal opening of passageway doors. Alarms are generated based on the detection results and wirelessly transmitted to the cloud platform for alarm activation.

[0018] The above technical solution is described in detail below: The integrated management and control system for intelligent access doors and electronic locks adopts a cloud-edge architecture. Edge computing terminals, intelligent electronic locks, and surveillance cameras deployed at the edge perform access door control, scene analysis, and business linkage applications within the skylight based on the work plan and content in the cloud. Outside the plan, the area outside the skylight serves as a perimeter security and intelligent facility maintenance scenario.

[0019] Smart electronic lock application: The smart electronic lock uses a 4G dual-channel smart padlock. The lock body is made of 316L stainless steel, the outer shell is made of imported PA66 material, all internal components are waterproofed, and it has a built-in 4G communication module and GPS + Beidou positioning module. It can report the door lock opening and closing status in real time, support video linkage capture, and has multiple unlocking methods such as smart key, handheld terminal, and platform remote unlocking.

[0020] like Figure 3As shown, AI control within the skylight: The channel door control application is activated according to the work skylight plan: (1) Statistics of workers entering and exiting; (2) Identification of workers' clothing specifications; (3) Identification of key personnel (responsible person, safety officer). In the railway industry, a skylight refers to a time period reserved for construction and maintenance work when train lines are not drawn or train operations are adjusted or reduced in the train timetable.

[0021] Before the operation begins, the central platform sends a work plan, including the number of personnel, their identities, key personnel information, and the work time, to the edge terminals of the corresponding access gates. The edge terminals receive and cache this information as the basis for subsequent on-site verification. When the workers arrive at the access gate to enter the site, the system automatically initiates the entry verification process. The edge terminals collect video streams through cameras, and the built-in AI recognition model performs three core checks in parallel: First, personnel counting, using target detection and tracking algorithms to calculate the number of people passing through the access gate in real time and compare it with the planned number; second, attire compliance recognition, using image classification algorithms to determine whether personnel are wearing protective clothing, safety helmets, etc., as required, and recording any discrepancies if attire does not meet the standards; third, key personnel identification, based on facial recognition or specific identifier detection, confirming whether key personnel such as the construction supervisor and safety officer are present. If any of the above three tests result is inconsistent with the plan, the edge terminal will immediately generate an alarm message and send it to the central platform via the 4G / 5G network. The alarm message includes the anomaly type, captured image, timestamp, and channel door identification. If all three tests are passed, the system will record the entry as complete and allow the operation to start normally.

[0022] Among these methods, target detection models, such as YOLO and SSD, identify the location of personnel from video frames and continuously track each person using tracking algorithms such as DeepSORT, thereby counting the cumulative number of people passing through the passageway in real time and comparing it with the planned number. Attire compliance recognition uses image classification or target detection algorithms. A trained convolutional neural network (CNN) model is used to classify the personnel area to determine whether they are wearing protective clothing, safety helmets, or other standard equipment; alternatively, target detection models are used to directly detect the presence of equipment (such as safety helmets) to identify whether attire meets standards. Key personnel identification uses facial recognition or specific identifier detection algorithms. Facial recognition models extract facial features and compare them with a pre-stored key personnel feature database to confirm identity; alternatively, special identifiers worn by personnel (such as name tags or markings on reflective vests) are used to identify whether key personnel such as construction supervisors and safety officers are present.

[0023] After the work is completed, the exit verification process begins. The edge terminal first determines if key personnel have left prematurely. This is done by continuously tracking the arrival time of key personnel. If they leave the exit gate before the work plan ends, an early departure alarm is triggered and reported to the center. If key personnel have not left prematurely, the system further verifies the total number of people leaving, continuously monitoring the number of people passing through the exit gate until it matches the number entering. If the number does not match within the specified time, an alarm for not all personnel leaving is triggered. Only when all personnel have left on time and key personnel have been present throughout the process is the exit process considered complete.

[0024] Throughout the verification process, the edge terminal undertakes the main computation and decision-making tasks, ensuring real-time detection and alarm execution even under unstable network conditions, reducing reliance on the central platform. All alarm information is synchronized to the central platform, where alarms are uniformly stored and displayed, and can be linked to other systems to notify relevant personnel for handling. Abnormal images and videos captured by the access door camera can serve as traceability evidence, and the opening and closing status and unlocking method (remote or Bluetooth) of the smart electronic lock are also fully recorded, forming a complete data chain of personnel entry and exit and door lock operation.

[0025] like Figure 4 As shown, AI control outside the skylight: When there is no work plan, the control of the passage door is mainly based on intrusion prevention and physical door status monitoring: (1) illegal entry into the passage door; (2) abnormal opening of the passage door.

[0026] To address the safety management needs of railway access doors during off-peak hours (outside track maintenance windows), an intelligent monitoring and early warning mechanism based on edge computing and cloud platform collaboration has been constructed. This mechanism uses edge computing terminals deployed on-site at the access doors as its core. By analyzing video streams captured by cameras in real time, it autonomously detects two types of security events: unauthorized entry and abnormal opening. Upon detecting anomalies, it immediately reports to the cloud platform to trigger alarms, achieving 24 / 7 intelligent safety protection for railway access doors.

[0027] During system operation, the access door camera continuously captures video streams of the door and surrounding area, transmitting the video data in real time to the on-site edge computing terminal. The edge computing terminal, equipped with an AI video analysis algorithm, continuously analyzes the video content. The terminal runs two core detection tasks in parallel: unauthorized entry detection and abnormal door opening detection.

[0028] Unauthorized entry detection focuses on identifying unauthorized personnel or objects entering the controlled area of ​​a passageway. The algorithm uses a target detection model to identify the shape of people in video footage and combines this with pre-defined electronic fence rules to determine whether anyone has crossed the warning line or entered a restricted area. Once intrusion is detected, the system immediately classifies it as an intrusion event.

[0029] The object detection model employs a deep learning-based convolutional neural network (CNN) model, such as YOLO or SSD. This model is responsible for quickly identifying and locating the position of people or objects from each frame of the video stream, outputting detection results including classification labels such as people and bounding box coordinates. This is the basis for determining whether an intrusion has occurred.

[0030] Abnormal opening detection focuses on the physical state of the door itself. By analyzing changes in the door area in the video footage, it identifies whether the door has been opened. When the door changes from a closed to an open state, the system determines it as a door state change event. This detection is logically linked to the smart electronic lock's unlocking records: if there are no legitimate unlocking operations within the corresponding time period (such as remote unlocking via the platform or Bluetooth unlocking via the APP), the opening is determined to be abnormal.

[0031] The change analysis utilizes background modeling or motion detection techniques to continuously compare pixel changes in the door area within the video frame. When the door opens, this area shows obvious changes (such as the door gap widening or the background being exposed). The algorithm determines whether the door is open by calculating the area and contour of the changed region.

[0032] When the unauthorized intrusion detection logic determines that an intrusion has occurred, the edge computing terminal immediately generates an alarm message and uploads it to the cloud platform via the 4G / 5G network. Similarly, when the abnormal opening detection logic determines that a door has been abnormally opened, the edge terminal also immediately reports to the cloud platform. Upon receiving any alarm message, the cloud platform triggers an alarm notification mechanism, displaying alarm information in pop-up windows on the platform's homepage, early warning center, and other interfaces. This information includes the alarm type, door number, mileage location, captured image, and time of occurrence. It can also link to SMS or voice notifications to relevant personnel.

[0033] If neither of the two simultaneous detections on the edge terminal detects any abnormalities (i.e., no intrusion and no abnormal activation), the process ends and continues to the next round of video analysis loop.

[0034] An integrated management and control solution for railway operation passage doors and smart electronic locks has been built on the cloud platform, covering three major modules: equipment management, homepage comprehensive monitoring and early warning center, realizing closed-loop management of the entire process from equipment maintenance, real-time monitoring to early warning and handling.

[0035] In terms of access door equipment management, the system treats access door cameras and smart locks as two core terminals for unified maintenance. Each access door is equipped with one lock and one camera. The camera is responsible for identifying the number of construction workers, their attire, and recording warning events. The smart lock supports remote unlocking via Bluetooth or 4G network when a construction task is assigned, and can also report the lock's battery level, on / off status, and warning records in real time. The equipment management module provides comprehensive information maintenance functions, including basic equipment information, usage records, and warning records. Users can filter and search for equipment based on registration location, model, type, manufacturer name, status, battery level, creation time period, and serial number, and can reset the filter criteria to refresh the list. The module supports adding new access doors, requiring users to fill in the registration location, access door number, mileage, line (up or down), and latitude and longitude. Users can also add cameras or smart locks to specified access doors, requiring the selection or addition of the access door number, equipment type (camera or smart lock), manufacturer name, manufacturer number, equipment model, equipment number, and latitude and longitude (the lock's latitude and longitude follow the access door's). The batch operation function supports selecting one or more devices for bulk deletion. The device list can be displayed in table or card format. Table columns include serial number, registration location, access door number, mileage, row, device type, device model, device number, manufacturer name, manufacturer number, area location, device status, device battery level, number of door openings / alarms, creator, creation time, and operation buttons such as open, process, modify, and delete. Cards display access door number, access door mileage, access door row, access door lock number and open button, access door status, access door camera number and status, and provide entry points for adding access door locks / cameras, modifying access doors, and deleting access doors. Clicking on the entire row of the list, access door number, access door number details, or the current position will jump to the details page, which includes basic information about the access door and a list of access door devices (displaying device number, manufacturer, device number, creator, creation time, and device status). The smart lock details page displays the access door number, mileage, row, and lock number. It also supports filtering opening records by entry or exit count, showing the opening time and reason, and provides a remote 4G opening button. The camera details page displays the access door number, mileage, row, and camera number. It supports filtering warning records by inconsistent numbers of people or non-standard attire, listing the warning time, reason, and image, and allowing users to view the monitoring data. For device warnings, users can access a pop-up window via the "Process" button in the operation bar. This pop-up allows users to zoom in on the image, mark it as a false alarm or due to inconsistent numbers / non-standard attire, and save the mark for it to take effect.

[0036] The homepage's access gate view integrates and displays access gate status, warnings, and statistics. It provides real-time monitoring of access gate opening status and images in conjunction with construction tasks, offering real-time warnings and support for handling abnormal situations. The page is divided into two parts: data filtering conditions and data display. Data filtering varies depending on account permissions: dispatchers can select the entire line, a specific line, or a particular station, and filter data based on time periods (day / week / month / year); station logins can only select time periods and can click on the access gate list to bring up a pop-up window for fuzzy search by access gate number or mileage. Clicking "Open Gate" allows for remote 4G opening of the access gate. The data display is divided into five parts: statistics on the total number of warnings within a selected time period for access gate warnings; ranking of access gate warnings by station or access gate number; statistics on warning reasons, showing the distribution of reasons such as inconsistent personnel, non-standard attire, and other reasons; a scrolling real-time display of task entry / exit information for construction tasks, including task number, task name, task location, entry time, and exit time, allowing station users to directly click on the scrolling list to remotely unlock the gate via 4G; and a warning status list displaying the warning time, warning type, warning station, warning access gate, and the task number that triggered the warning, allowing station users to click on "process" to open a pop-up processing window, where they can zoom in on images and mark false alarms, inconsistent personnel, or non-standard attire. After processing, the status is synchronized to the dispatch terminal.

[0037] The early warning center has a separate early warning module for access gates, which integrates and manages all early warning records generated by access gates. Users can filter the early warning list by multiple dimensions, including early warning reason (inconsistent number of people / inappropriate attire / other), construction level (Level 1 / Level 2 / Level 3 / Neighbor A / Neighbor B / Neighbor C), construction type (emergency repair / emergency rescue / maintenance / other), location of the early warning, time period of the early warning, and mileage. The list displays information such as serial number, early warning type, access gate number, mileage, row, location of the early warning, construction plan, construction project, construction level, construction type, construction unit and person in charge, whether it is a maintenance window, early warning status, and early warning time. For each early warning, users can click on the operation bar to bring up a processing pop-up window, which displays the early warning access gate, access gate mileage, early warning type, early warning time, and early warning content, and provides processing options such as false alarm, inconsistent number of people / inappropriate attire, etc. The early warning status is updated after processing. Clicking on an entire row of the list will display details, including the early warning access gate, access gate mileage, early warning type, early warning time, and early warning content. Processed early warnings will no longer display the processing button. The list supports pagination, allowing you to adjust the number of items displayed per page and jump to a specific page.

[0038] The integrated intelligent access gate and electronic lock management system is primarily designed for construction supervisors. As the core management personnel on-site, the supervisor's handheld app possesses a range of functional permissions. On the introductory page, the supervisor clicks on "Construction Preview," which displays a list of construction tasks and a preview of the progress. They then proceed with the entry check-in process. The supervisor is responsible for the entry check-in, which involves: checking and modifying personnel at the access gate and security checkpoints; using a camera and edge computing terminal, personnel identification unlocks the access gate to complete entry. Following the access gate check and security checkpoint confirmation, the next steps include personnel check-in, adding and setting personnel roles, and binding devices. Personnel identification and door opening are performed at the access gate, with two methods: direct 4G unlocking and Bluetooth unlocking. After successful door opening, the system leads to the homepage. ...After construction is complete, the supervisor must disable the electronic fence and then conduct a site exit check-in. The supervisor confirms the site exit check-in, following the exit process: opening the access gate and personnel identification completes exit. The supervisor opens the access gate using the same methods as the entry check-in: 4G and Bluetooth. After the passage door is successfully opened, everyone exits the passage door for personnel identification. Once personnel identification is completed, the construction is finished.

[0039] The construction supervisor logs into the app the day before construction begins to complete a task inventory: Log in to the app - Tasks to be selected - Select tasks - Confirm task information - Confirm or modify access gates - Confirm or modify safety protection points - Confirm or modify electronic fences - Add construction personnel - Set safety protection points and on-site liaison officer roles - Bind terminal IDs - Inventory complete. The supervisor can view and modify access gate information; after confirming the modifications, the information is synchronized to the backend.

[0040] The construction supervisor's workflow on the day of construction is divided into three stages: 1) Construction entry; 2) Starting and stopping the electronic fence during construction; 3) Construction exit. The construction entry process is as follows: Click "Pending Entry" -- Select Task -- Confirm Construction Personnel List -- Unlock and Personnel Count Detection. Upon arriving at the construction site access gate on the second day, the construction supervisor needs to wait for the resident liaison officer's entry instruction. After obtaining the timetable from the station duty room, the liaison officer will notify the construction supervisor that entry is permitted. The construction supervisor's entry process is as follows: Access gate entrance video personnel recognition -- Receive backend notification that all personnel have arrived -- Access gate confirmation -- Access gate unlock -- Entry complete. If there are no pending entry tasks, the "Pending Entry" option will be grayed out and not operated. Tasks can only be accessed on the "Pending Entry" page after a count. After clicking "Pending Entry," selecting the pending task allows viewing the construction personnel list. After video recognition at the access gate, the backend will count the number of people passing through the access gate. If the number is less than the number registered for the task, the backend will return a prompt message when the construction supervisor clicks "Unlock," indicating that the number of people is insufficient and asking whether to continue unlocking. If you click "Yes," the unlocking process will continue. If you click "No," the process will continue until everyone has arrived before clicking "Unlock." If the number of people is consistent when you click "Unlock," the lock will unlock automatically without any prompts. After clicking "Unlock," three unlocking methods are available: 4G unlocking, manual unlocking, and Bluetooth pairing. If you start using Bluetooth, you will be taken to the installation page.

[0041] Upon arrival at the construction area, the procedure is as follows: activate the electronic fence - check the number of construction personnel - confirm activation - monitor construction early warning - deactivate the electronic fence upon completion of construction.

[0042] When the construction supervisor and others arrive at the exit gate, an exit count is performed. The exit count process is as follows: Exit gate confirmation or modification - Opening the gate - Exit gate video recognition - Receiving confirmation from the backend that the number of people entering and leaving matches - Exit complete - Notifying the on-site liaison to cancel the construction task. The construction supervisor can modify the exit gate according to the actual situation. After confirming the gate, open it; 4G network, Bluetooth, or manual opening are options. After opening the gate, exit is detected via video recognition, and the backend simultaneously counts the number of people leaving, checking if the number of people leaving matches the number of people entering. If the number of people leaving does not match the number of people entering, a pop-up message is sent to the construction supervisor asking whether to end the task. If the task is not ended, the system automatically redirects to the GIS location of the personnel who have not yet left. If the number matches, the construction supervisor clicks the "OK" button to end the construction task and deactivate the alarm. At the same time, the construction supervisor notifies the on-site liaison to cancel the task.

[0043] The access door camera needs to identify the number of construction workers and whether their attire complies with regulations, and can view the device's warning records. The smart door lock supports Bluetooth unlocking or 4G remote unlocking when a task is bound to it, and can view the current battery status, open status, and warning records of the access door lock.

[0044] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. An integrated control system for intelligent access doors and electronic locks, characterized in that: include: Access gates, cameras, electronic locks, edge computing terminals, and cloud platforms The passageway gate is located at the entrance and exit of the railway construction area. The camera and electronic lock are installed on the passageway gate. The electronic lock controls the opening and closing of the passageway gate. The camera collects video data of the personnel at the passageway gate. The edge computing terminal identifies the personnel and their clothing based on the video data, verifies the identification results, determines whether there are any abnormalities, and wirelessly transmits the abnormalities to the cloud platform. The cloud platform then issues an alarm based on the abnormalities.

2. The system according to claim 1, characterized in that, The railway construction operation plan is obtained through a cloud platform and then distributed to edge computing terminals. The edge computing terminals obtain the operation information, which includes the number of personnel, their identities, key personnel, and operation time. The identification results are then verified based on the operation information.

3. The system according to claim 1, characterized in that, During non-railway construction operations, video data of non-construction operations is collected through cameras, and video analysis of non-construction operation video data is performed through edge computing terminals. Anomaly detection is performed on the video analysis results, and alarms are issued through a remote platform based on the anomaly detection results.

4. The system according to claim 1, characterized in that, Verification of the identification results includes: personnel statistics, clothing identification, and key personnel identification.

5. The system according to claim 3, characterized in that, Anomaly detection of video analysis results includes: unauthorized entry detection of passageway doors and abnormal opening checks of passageway doors.

6. The system according to claim 1, characterized in that, The cloud platform includes an equipment management module, a homepage comprehensive monitoring module, and an early warning center module. The equipment management module is used to uniformly maintain the basic information, status, and usage records of access doors, electronic locks, and cameras. The homepage comprehensive monitoring module is used to display the status of access doors, early warning statistics, and rolling information on construction tasks, and supports remote door opening and early warning processing. The early warning center module is used to integrate and manage all early warning records of access gates, and supports screening and handling.

7. The system according to claim 1, characterized in that, It also includes a handheld terminal, which is used to provide construction preview, entry count, access door unlocking and exit count functions. The handheld terminal performs access door count, personnel identification, unlocking operation and process guidance, and realizes real-time interaction with on-site equipment.

8. A control method based on the integrated intelligent access door and electronic lock control system according to any one of claims 1-7, characterized in that, include: The opening and closing of the passage door is controlled by an electronic lock; The system collects video data of people at the passageway door through cameras, and uses an edge computing terminal to identify people and their clothing based on the video data. The identification results are then verified, and anomalies are determined based on the verification results. Any anomalies are then wirelessly transmitted to the cloud platform, which issues an alarm based on the anomalies.

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