Railway freight station management system based on global linkage and electronic equipment

Abstract

The embodiment of the invention provides a management system and electronic equipment of a railway freight station based on global linkage, and the management system comprises a global linkage information collection subsystem which collects the related information of containers, the working states of facilities and equipment and operation videos in the global of the railway freight station; the global linkage risk prevention and control early warning subsystem judges the related risk of the container based on the related information of the container and sends out alarm information, and identifies the operation risk based on the working state and the operation video of the facility equipment and sends out alarm information; the in-port operation intelligent management subsystem integrates the container related information, the working state of the facility equipment, the operation video, the container related risk and the operation risk into station resource data, and performs park panoramic visual display on the station resource data; related operations of production operation are automatically controlled; loading and unloading tasks are distributed intelligently, and a cargo stockpiling plan is formulated. According to the scheme, the information management level is improved, the automation is improved, and the operation efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the field of railway freight technology, and in particular to a management system and electronic equipment for a railway freight station based on global linkage. Background Art

[0002] Railway freight stations are the core locations for railway freight transportation, warehousing, loading and unloading, and delivery. Their operating efficiency directly affects the operation of the entire logistics system. The following problems are common in existing technologies and methods:

[0003] Information dispersion: The level of information management in traditional freight terminals is low, resulting in the inability to effectively integrate data between different modules and making it difficult to achieve integrated terminal operations.

[0004] Insufficient safety assurance: During loading, unloading and transportation, the error rate of manual operation is high, and the monitoring of equipment status is not detailed enough, which makes safety accidents prone to occur.

[0005] Low operational efficiency: Cargo loading, unloading, scheduling, and stacking require a high level of manual labor and lack automated intelligent decision-making support, resulting in low operational efficiency. Summary of the Invention

[0006] In view of this, the embodiment of the present invention provides a railway freight station management system based on global linkage to solve the technical problems of information dispersion, insufficient security and low operating efficiency in the existing technology. The system includes:

[0007] The global linkage information collection subsystem is used to collect container-related information, the working status of facilities and equipment, and operation videos within the entire railway freight station area;

[0008] A global linkage risk prevention and control early warning subsystem, configured to determine container-related risks based on the container-related information and issue an alarm, and to identify operational risks based on the working status of the facilities and equipment and the operational video and issue an alarm;

[0009] The intelligent port operation management subsystem is used to integrate the container-related information, the working status of the facilities and equipment, the operation video, the container-related risks and the operation risks into terminal resource data, and to provide a panoramic visualization of the terminal resource data in the park; automatically control the relevant operations of production operations; intelligently allocate loading and unloading tasks and formulate cargo storage plans.

[0010] The embodiment of the present invention further provides an electronic device to solve the technical problems of information dispersion, insufficient security, and low operating efficiency in the prior art. The electronic device includes: any of the above-mentioned railway freight station management systems based on global linkage.

[0011] Compared with the existing technology, the beneficial effects that can be achieved by at least one of the above-mentioned technical solutions adopted in the embodiments of this specification include at least: proposing to collect container-related information, working status of facilities and equipment, and operation videos in the entire railway freight station through a full-area linkage information collection subsystem, thereby realizing centralized and comprehensive data collection in the entire railway freight station, providing support for centralized processing, management, application, and visualization of data, improving the centralization and integration of information management, and thus helping to improve the level of information management, and also making the collected data more comprehensive and sufficient, providing a reliable data basis for early warning and intelligent management; at the same time, the full-area linkage risk prevention and control early warning subsystem can judge container-related risks in real time based on the collected data and issue an alarm. It can collect information, identify operational risks and issue alarm information, realize the integrated application of multiple real-time monitoring and early warning, effectively reduce the occurrence of safety accidents, and help improve the level of safety protection; in addition, the intelligent management subsystem of port operations can integrate the collected data into terminal resource data, and then conduct a panoramic visualization of the terminal resource data in the park, thereby enhancing the transparency and controllability of terminal management; it can automatically control the relevant operations of production operations, intelligently allocate loading and unloading tasks and formulate cargo storage plans, so as to reduce or minimize the manual participation of cargo loading and unloading, scheduling and stacking processes, improve automated intelligent decision-making support, and help improve operational efficiency, as well as the efficient use of equipment and site resources, optimize resource utilization, and reduce operating costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0013] Figure 1 This is a structural block diagram of a railway freight station management system based on global linkage provided by an embodiment of the present invention;

[0014] Figure 2 This is a page diagram of a management system for a railway freight station based on global linkage provided by an embodiment of the present invention;

[0015] Figure 3 This is a page diagram of an overload and unbalanced load detection and warning module provided by an embodiment of the present invention;

[0016] Figure 4 This is a page diagram of an empty and loaded box mixed loading prevention and misloading warning module provided by an embodiment of the present invention;

[0017] Figure 5This is a page diagram of a lock anti-connection monitoring module provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0018] The embodiments of the present application are described in detail below with reference to the accompanying drawings.

[0019] The following describes the embodiments of the present application through specific examples, and those skilled in the art can easily understand other advantages and effects of the present application from the contents disclosed in this specification. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. The present application can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present application. It should be noted that, in the absence of conflict, the features in the following embodiments and embodiments can be combined with each other. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without making creative work are within the scope of protection of this application.

[0020] In an embodiment of the present invention, a railway freight station management system based on global linkage is provided, such as Figure 1 As shown, the system includes:

[0021] The global linkage information collection subsystem 101 is used to collect container-related information, the working status of facilities and equipment, and operation videos within the entire railway freight station;

[0022] The global linkage risk prevention and control early warning subsystem 102 is configured to determine container-related risks based on the container-related information and issue an alarm message, and to identify operational risks based on the working status of the facilities and equipment and the operational video and issue an alarm message;

[0023] The port operation intelligent management subsystem 103 is used to integrate the container-related information, the working status of the facilities and equipment, the operation video, the container-related risks and the operation risks into terminal resource data, and to provide a panoramic visualization of the terminal resource data in the park; automatically control the relevant operations of the production operation; intelligently allocate loading and unloading tasks and formulate cargo storage plans.

[0024] Depend on Figure 1As shown, in the embodiment of the present invention, it is proposed to collect container-related information, working status of facilities and equipment, and operation videos in the entire railway freight station through the full-area linkage information collection subsystem, thereby realizing centralized and comprehensive data collection in the entire railway freight station, providing support for centralized processing, management, application, and visualization of data, improving the centralization and integration of information management, and thus helping to improve the level of information management, and also making the collected data more comprehensive and sufficient, providing a reliable data basis for early warning and intelligent management; at the same time, the full-area linkage risk prevention and control early warning subsystem can judge container-related risks in real time based on the collected data and issue alarm information, identify operational risks and issue alarms Information is collected, and the integrated application of multiple real-time monitoring and early warning systems is realized, which effectively reduces the occurrence of safety accidents and is conducive to improving the level of safety protection. In addition, the intelligent management subsystem for port operations can integrate the collected data into terminal resource data, and then conduct a panoramic visualization of the terminal resource data in the park, thereby enhancing the transparency and controllability of terminal management. It automatically controls the relevant operations of production operations, intelligently allocates loading and unloading tasks and formulates cargo storage plans, so that the manual participation in the processes of cargo loading and unloading, scheduling and stacking can be reduced or minimized, and the support for automated intelligent decision-making is improved, which is conducive to improving operational efficiency, as well as the efficient use of equipment and site resources, optimizing resource utilization, and reducing operating costs.

[0025] In specific implementation, the global linkage information collection subsystem can collect various data including container-related information, working status of facilities and equipment, and operation videos within the entire railway freight station, for example, Figure 2 As shown, container-related information may include any data related to the container, such as the container number, container position number, cargo information (such as cargo type (industrial raw materials, machinery and equipment, daily necessities, etc.), cargo distribution), location information, size information, transportation type (such as sea, air, land, etc.), status (such as loading and unloading, entering the station, leaving the station, etc.), weight type (such as empty container, full container, etc.), specifications, 4F-TR lock status, entry and exit time, etc. The working status of facilities and equipment may include the working status of facilities and equipment such as forklifts and cranes, and the operation video may include video data of any operation scene in the entire area of ​​the railway freight station (such as video data of facilities and equipment, containers, loading and unloading status, etc. in various operation scenes).

[0026] In specific implementation, in order to achieve centralized and comprehensive data collection, the proposed global linkage information collection subsystem includes IoT devices such as laser ranging sensors, container number recognition cameras, Beidou RTK positioning equipment, weighing equipment, and image acquisition equipment. The laser ranging sensor is used to monitor the relative position between the container's 4F-TR lock and the container. The container number recognition camera is used to identify and record the vehicle number, container number, and cargo information. The Beidou RTK positioning equipment is used to determine the position of the container and the facilities and equipment. The weighing equipment is used to determine the weight of the container. The image acquisition equipment is used to collect the operation video within the entire railway freight station. The application of the global linkage information collection subsystem also realizes the automatic recognition and entry of various data, which helps to avoid or reduce the error rate of manual recording and improve the efficiency and accuracy of data entry.

[0027] In practice, the container number recognition camera uses OCR technology, combined with deep learning algorithms, to identify and record vehicle numbers, container numbers, and cargo information. The camera can be installed at the entrance of a crane or cargo area. When a container enters the cargo yard or is grabbed by a crane, the camera automatically captures the container number image and analyzes it using a deep learning algorithm. The camera then enters the container number, cargo type, storage location, and other information into a database in real time.

[0028] In specific implementation, the global linkage information collection subsystem may also include sensors to collect the working status of facilities and equipment. For example, by installing sensors on facilities and equipment such as forklifts and cranes, the status data of facilities and equipment can be collected in real time and uploaded to the management system.

[0029] During specific implementation, the operation video in the entire railway freight station is collected through image acquisition equipment (such as a camera).

[0030] In the specific implementation, in order to realize overload detection and early warning, it is proposed that the full-area linkage risk prevention and control early warning subsystem includes: an overload detection and early warning module, which is used to analyze the weight and cargo information in the container-related information, determine the overload situation of the container and issue an alarm message.

[0031] In specific implementation, the overload and unbalanced load detection and warning module may include a high-precision weight sensor (i.e., weighing equipment), a laser scanner (i.e., a container number recognition camera), and an exception handling unit. For example, when a crane grabs a container, the weight sensor detects the weight of the container and uploads the data to the exception handling unit, and the laser scanner recognizes the container number and uploads the data to the exception handling unit. The exception handling unit determines whether the weight of the container exceeds the design load range (i.e., specifications). If it is overweight or unbalanced, an alarm signal is triggered and the exception information is recorded. Figure 3 As shown, the risk report shows the risk type of overweight or overload of each container, with high, medium and low risk levels.

[0032] In specific implementation, in order to monitor and correct the mixed loading errors of empty and loaded containers and ensure the rationality and safety of loading, the proposed global linkage risk prevention and control early warning subsystem includes:

[0033] The empty and loaded container mixed loading anti-misloading warning module is used to analyze the weight and position of the container related information, determine the empty and loaded container mixed loading situation of the loading train and issue an alarm message.

[0034] In specific implementation, the empty and loaded container mixed loading and anti-misloading warning module can include Beidou RTK positioning equipment, weighing sensors (i.e. weighing equipment) and data verification modules. For example, Beidou RTK positioning equipment is installed in the cargo area to track the position and status of the container in real time. According to the grabbing order of the crane, the difference in weight (i.e. difference) measured by the weighing sensors of two adjacent containers is detected. If the difference exceeds the threshold, an alarm will be issued to remind the empty and loaded containers to be mixed, so as to avoid the misloading of empty and loaded containers. Figure 4 As shown, relevant information is displayed for each carriage in the loading information, and it is displayed whether an empty and heavy box mixed loading alarm occurs. Specific alarm information can also be displayed for each empty and heavy box mixed loading alarm, such as the box number, car number, weight and other information involved in the empty and heavy box mixed loading alarm.

[0035] In specific implementation, in order to realize the safety monitoring of F-TR lock anti-connection, the proposed global linkage risk prevention and control early warning subsystem includes:

[0036] It is an F-TR lock anti-hooking monitoring module, which is used to determine the hooking status of the F-TR lock and issue an alarm message based on the relative position between the F-TR lock and the container in the container-related information and the external image of the container in the operation video.

[0037] During specific implementation, the F-TR lock anti-hooking monitoring module may include a laser ranging module: it can be installed on the top and side of the crane to detect the relative position between the F-TR lock and the container in real time, so as to scan the F-TR lock status in real time and determine whether it is unhooked; weight sensor: detects the force changes at each corner at the crane lifting point; driver's cab control module: receives the data from the weight sensor, combines the data from the weight sensor and the relative position between the F-TR lock and the container, monitors the F-TR lock status in real time, and issues a voice alarm for abnormal situations, cuts off the crane lifting circuit, and avoids safety accidents caused by abnormal locks. The real-time operation status, including the lock status and lifting operation data, can be displayed on the driver's cab display module. All monitoring data are stored in the background server for subsequent analysis and optimization of operation processes. Figure 5 As shown, the F-TR lock status of each container can be displayed on the system page, such as normal operation, linked warning, whether the problem is solved, etc.

[0038] In specific implementation, in order to identify operational risks in real time and issue early warnings to ensure safe production, the proposed full-area linkage risk prevention and control early warning subsystem includes:

[0039] The operation monitoring module uses AI analysis algorithms based on the operation video to identify operation-related risks and issue early warning information. For example, the system can identify operation-related risks such as abnormal operation and illegal entry into dangerous areas, and issue immediate warnings.

[0040] In specific implementation, in order to realize the visualization of global data linkage, the intelligent management subsystem for port operations is proposed to include:

[0041] The global data linkage visualization module is used to provide a panoramic visualization of the terminal resource data corresponding to each area within the entire railway freight station.

[0042] In specific implementations, the global data linkage visualization module can include a digital twin platform and a data integration and processing module. This module uses digital twin technology to display relevant data, such as the layout of each cargo area and equipment status, in real time. For example, Beidou RTK positioning equipment and digital twin technology can be used to locate and monitor the status of equipment, vehicles, and cargo in the area in real time. Incorporating optical character recognition (OCR) technology, vehicle and container numbers can be automatically identified and integrated into the digital twin platform, creating a visual dynamic management interface. Statistics on container loading and unloading operations in each area (or region) can also be displayed.

[0043] In specific implementation, in order to improve the automation of production operations, it is proposed that the port operation intelligent management subsystem includes:

[0044] The production operation automation module is used to control the lifting of containers, cargo inventory, and the operation of the facilities and equipment through intelligent algorithms and remote control. For example, the loading and unloading equipment in the cargo area receives the scheduling commands sent by the system's production operation automation module (the scheduling commands can be generated based on the collected cargo information, the loading and unloading status of the container, etc.), and then dynamically adjusts the operation sequence and equipment allocation according to the task. The crane is remotely controlled to complete automated loading and unloading operations in an unmanned on-site environment, improving safety. For example, based on the collected information such as the location and working status of the facilities and equipment, the production operation automation module can remotely control the operation of the facilities and equipment.

[0045] In order to achieve intelligent decision-making in operation management and improve terminal operation efficiency, the intelligent management subsystem for port operations is proposed to include:

[0046] The intelligent decision-making module for operation and management is used to use AI algorithms, combined with the relevant information of the container, the working status of the facilities and equipment, and the operation video, to intelligently allocate loading and unloading tasks and formulate cargo storage plans. For example, the intelligent decision-making module for operation and management can use AI algorithms to optimize the planning of container areas and cargo areas (for example, based on the collected data such as the location of the container, loading and unloading conditions, and the number of containers in each cargo area to optimize the planning of container areas and cargo areas, that is, to formulate and optimize cargo storage plans), and dynamically adjust the storage plan to improve utilization. The intelligent decision-making module for operation and management can also generate an optimized scheduling plan (for example, based on the collected working status of the facilities and equipment, the operation content of the facilities and equipment in the operation video, the operation operation and other data to generate an optimized scheduling plan, that is, to allocate loading and unloading tasks) in combination with the historical loading and unloading data and logistics needs, to reduce equipment idle time and energy consumption.

[0047] In specific implementation, the above-mentioned global linkage information collection subsystem can be realized based on the hardware equipment of the Internet of Things devices to collect various data within the entire railway freight station. The global linkage risk prevention and control warning subsystem and the port operation intelligent management subsystem can be implemented in the form of software in the big data analysis platform or remote control center or background server. The various data collected by the global linkage information collection subsystem can be transmitted to the global linkage risk prevention and control warning subsystem and the port operation intelligent management subsystem through the wireless network for intelligent analysis, operation optimization scheduling, and provision of warning and decision support.

[0048] In specific implementation, the above process of issuing the alarm information can be performed in the form of sound (such as voice), light, text, etc.

[0049] In specific implementation, the following introduces the system structure and working method of the above-mentioned railway freight terminal management system based on global linkage:

[0050] 1. System structure

[0051] The global linkage information collection subsystem includes the following hardware modules and functions:

[0052] 1.1 Container number intelligent scanning module: installed at the crane or cargo area entrance, including container number recognition camera and data processing unit.

[0053] 1.2 Equipment management module: includes IoT-based equipment sensors (such as temperature and humidity sensors, equipment operation status detection sensors) and control terminals.

[0054] 1.3 Video surveillance module: Through high-definition cameras and AI video analysis algorithms, it covers the panoramic view and key nodes of the freight yard operation area.

[0055] 2. Workflow

[0056] 2.1 Container Scanning: When a container enters the cargo yard, the container number recognition camera on the crane automatically captures the container number image and analyzes it through a deep learning algorithm, entering information such as the container number, cargo type, and storage location into the database in real time.

[0057] 2.2 Equipment Monitoring and Management: Forklifts, cranes, and other equipment use sensors installed to collect real-time equipment status data and upload it to the management system. The system adjusts equipment allocation based on the work plan and detects equipment anomalies and issues alarms.

[0058] 2.3 Operation video analysis: The camera collects real-time operation videos and uses AI algorithms to analyze whether there are any safety hazards in the operation, such as abnormal operations, illegal entry into dangerous areas, etc. The system will issue an immediate warning.

[0059] II. Global Linkage Risk Prevention and Control Early Warning Subsystem

[0060] 1. System structure

[0061] 1.1 Box number recognition module: includes smart camera, deep learning processing chip and wireless transmission module.

[0062] 1.2 Overload and unbalanced load detection and warning module: includes high-precision weight sensor, laser scanner and abnormality processing unit.

[0063] 1.3 Empty and loaded container mixed loading prevention and warning module: includes Beidou RTK positioning equipment, weighing sensor and data verification module.

[0064] 1.4F-TR lock anti-connection monitoring module, including:

[0065] Laser ranging module (i.e. laser ranging sensor): installed on the top and side of the crane, used to detect the relative position between the F-TR lock and the container in real time.

[0066] Weight sensor: Detects force changes at each corner at the crane lifting point.

[0067] Driver's cab control module: receives sensor data and issues voice alarms for abnormal situations.

[0068] 2. Operation method

[0069] 2.1 Intelligent identification and transmission of container numbers:

[0070] (1) When the crane grabs the container, the container number recognition module captures the container number image, and the algorithm converts the container number into digital information.

[0071] (2) The wireless transmission module transmits the data to the central database, which automatically matches the cargo information of the container.

[0072] 2.2 Real-time detection of overload and unbalanced load:

[0073] (1) When the crane grabs the container, the weight sensor detects the weight of the container and uploads the data to the processing unit.

[0074] (2) Determine whether the weight exceeds the designed load range. If it is overweight or overloaded, trigger an alarm signal and record abnormal information.

[0075] 2.3 Mixing empty and heavy boxes to prevent mispackage:

[0076] (1) Install BeiDou RTK positioning equipment in the cargo area to track the location and status of containers in real time.

[0077] (2) According to the crane’s grabbing order, the weight difference between two adjacent containers is detected. If the weight difference exceeds the threshold, an alarm will be issued to avoid misloading.

[0078] 2.4F-TR lock anti-connection security monitoring:

[0079] 2.4.1 Loading and unloading monitoring:

[0080] (1) The laser distance sensor scans the F-TR lock status in real time to determine whether it is unhooked; the weight sensor synchronously measures the force status of the four corners.

[0081] (2) When the system detects an abnormal unhooking, the laser module triggers an audible and visual alarm and cuts off the crane lifting circuit.

[0082] 2.4.2 Real-time monitoring and recording:

[0083] (1) The driver's cab display module shows the real-time operation status, including the lock status and lifting operation data.

[0084] (2) All monitoring data are stored in the backend server to facilitate subsequent analysis and optimization of operation processes.

[0085] 3. Intelligent management subsystem for port operations

[0086] 1 System Structure

[0087] 1.1 Global data visualization module (i.e. global data linkage visualization module): includes a digital twin platform and a data integration processing module, which is used to display the cargo area layout and equipment status in real time.

[0088] 1.2 Intelligent operation management module (i.e., production operation automation module): A remote control center combined with AI algorithms supports cargo stacking optimization, operation scheduling, and equipment control.

[0089] 1.3 Operation decision module (i.e. intelligent operation management decision module): with the big data analysis platform as the core, connecting all data interfaces of the freight terminal.

[0090] 2 Operation method

[0091] 2.1 Global Data Linkage Visualization:

[0092] (1) Real-time positioning and status monitoring of site equipment, vehicles, and cargo are carried out through BeiDou RTK positioning and digital twin technology.

[0093] (2) Combine OCR technology to automatically identify vehicle numbers and container numbers and integrate them into the digital twin platform to form a visual dynamic management interface.

[0094] 2.2 Intelligent operation management:

[0095] (1) The loading and unloading equipment in the cargo area receives the dispatching command from the system and dynamically adjusts the operation sequence and equipment allocation according to the task.

[0096] (2) The crane can be remotely operated to complete automated loading and unloading operations in an unmanned on-site environment, improving safety.

[0097] 2.3 Intelligent Operational Decision-making:

[0098] (1) The system uses AI algorithms to optimize the planning of container space in the container area and cargo space in the cargo area, and dynamically adjusts the storage plan to improve utilization.

[0099] (2) Combining historical loading and unloading data with logistics needs, the system generates an optimized scheduling plan to reduce equipment idle time and energy consumption.

[0100] In this embodiment, an electronic device is provided, including any of the above-mentioned management systems for railway freight stations based on global linkage.

[0101] The embodiments of the present invention achieve the following technical effects: it proposes to collect container-related information, working status of facilities and equipment, and operation videos in the entire railway freight station through the full-area linkage information collection subsystem, thereby realizing centralized and comprehensive data collection in the entire railway freight station, providing support for centralized processing, management, application, and visualization of data, improving the centralization and integration of information management, and thus being conducive to improving the level of information management, and making the collected data more comprehensive and sufficient, providing a reliable data basis for early warning and intelligent management; at the same time, the full-area linkage risk prevention and control early warning subsystem can judge container-related risks in real time based on the collected data and issue alarm information, identify operational risks and issue warnings It can realize the integrated application of multiple real-time monitoring and early warning, effectively reduce the occurrence of safety accidents, and help improve the level of safety protection; in addition, the intelligent management subsystem of port operations can integrate the collected data into terminal resource data, and then conduct a panoramic visualization of the terminal resource data in the park, thereby enhancing the transparency and controllability of terminal management; it can automatically control the relevant operations of production operations, intelligently allocate loading and unloading tasks and formulate cargo storage plans, so as to reduce or minimize the manual participation of cargo loading and unloading, scheduling and stacking processes, improve automated intelligent decision-making support, and help improve operational efficiency, as well as the efficient use of equipment and site resources, optimize resource utilization, and reduce operating costs.

[0102] Obviously, those skilled in the art should understand that the various modules or steps of the above-mentioned embodiments of the present invention can be implemented using a general-purpose computing device, they can be concentrated on a single computing device, or distributed across a network composed of multiple computing devices. Alternatively, they can be implemented using program code executable by the computing device, so that they can be stored in a storage device and executed by the computing device. In some cases, the steps shown or described can be performed in a different order than herein, or they can be made into separate integrated circuit modules, or multiple modules or steps can be made into a single integrated circuit module for implementation. Thus, the embodiments of the present invention are not limited to any specific combination of hardware and software.

[0103] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that various modifications and variations of the present invention are possible. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention are intended to be within the scope of protection of the present invention.

Claims

1. A railway freight station management system based on global linkage, characterized by: include: The global linkage information collection subsystem is used to collect container-related information, the working status of facilities and equipment, and operation videos within the entire railway freight station area; A global linkage risk prevention and control early warning subsystem, configured to determine container-related risks based on the container-related information and issue an alarm, and to identify operational risks based on the working status of the facilities and equipment and the operational video and issue an alarm; The port operation intelligent management subsystem is used to integrate the container-related information, the working status of the facilities and equipment, the operation video, the container-related risks, and the operation risks into terminal resource data, and to provide a panoramic visualization of the terminal resource data; Automatically control relevant operations of production operations; intelligently allocate loading and unloading tasks and formulate cargo storage plans.

2. The railway freight station management system based on global linkage according to claim 1 is characterized in that: The global linkage information collection subsystem includes a laser ranging sensor, a container number recognition camera, a Beidou RTK positioning device, a weighing device and an image acquisition device. The laser ranging sensor is used to monitor the relative position between the container's 4F-TR lock and the container. The container number recognition camera is used to identify and record the vehicle number, the container number and cargo information. The Beidou RTK positioning device is used to determine the position of the container and the facilities and equipment. The weighing device is used to determine the weight of the container. The image acquisition device is used to collect the operation video within the entire railway freight station.

3. The railway freight station management system based on global linkage according to claim 2 is characterized in that: The global linkage risk prevention and control early warning subsystem includes: The overload detection and warning module is used to analyze the weight and cargo information in the container related information, determine the overload situation of the container and issue an alarm message.

4. The railway freight station management system based on global linkage according to claim 2 is characterized in that: The global linkage risk prevention and control early warning subsystem includes: The empty and loaded container mixed loading anti-misloading warning module is used to analyze the weight and position of the container related information, determine the empty and loaded container mixed loading situation of the loading train and issue an alarm message.

5. The railway freight station management system based on global linkage according to claim 2 is characterized in that: The global linkage risk prevention and control early warning subsystem includes: The F-TR lock anti-hooking monitoring module is used to determine the hooking status of the F-TR lock and issue an alarm message based on the relative position between the F-TR lock and the container in the container-related information and the external image of the container in the operation video.

6. The railway freight station management system based on global linkage according to claim 2 is characterized in that: The global linkage risk prevention and control early warning subsystem includes: The operation monitoring module is used to use AI analysis algorithms based on the operation video to identify operation-related risks and issue early warning information.

7. The railway freight station management system based on global linkage according to any one of claims 1 to 6, characterized in that: The intelligent management subsystem for port operations includes: The global data linkage visualization module is used to provide a panoramic visualization of the terminal resource data corresponding to each area within the entire railway freight station.

8. The railway freight station management system based on global linkage according to any one of claims 1 to 6, characterized in that: The intelligent management subsystem for port operations includes: The production operation automation module is used to control the lifting of containers, cargo counting and the operation of the facilities and equipment through intelligent algorithms and remote control.

9. The railway freight station management system based on global linkage according to any one of claims 1 to 6, characterized in that: The intelligent management subsystem for port operations includes: The intelligent decision-making module for operation management is used to utilize AI algorithms, combined with the container-related information, the working status of the facilities and equipment, and the operation video, to intelligently allocate loading and unloading tasks and formulate cargo storage plans.

10. An electronic device, characterized in that: include: A railway freight terminal management system based on full-area linkage as described in any one of claims 1 to 9.

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