A railway digital logistics station platform and storage medium

Abstract

The present invention provides a railway digital logistics station platform and storage medium, and the platform includes a digital intelligence sub-platform and a business application sub-platform. The digital intelligence sub-platform includes: a data service system for generating operation services applicable to the business application sub-platform based on the station data, freight operation plan and business service engine obtained by the Internet of Things perception system; an artificial intelligence model system for storing and managing artificial intelligence models, and a digital twin system for building a three-dimensional station model; the business application sub-platform includes: an automated production operation system for executing production operations and feedback on operation status, an intelligent logistics service system for vehicle passage reservation, information guidance and cargo warehousing, a safety management system for realizing operation safety protection and site safety management including crossing safety identification, and a green park management system for statistical energy consumption. The present invention can realize the perception and intelligent management of all elements of people, goods, vehicles and sites.

Description

Technical Field

[0001] The present invention relates to the field of railway freight transportation technology, and in particular to a railway digital logistics station platform. Background Art

[0002] Railway logistics stations are full-scenario logistics operation sites that undertake cargo transportation, storage, loading and unloading, and delivery for customers. They are social logistics gathering places that support modern railway logistics.

[0003] Railway freight logistics stations are social logistics gathering places and windows directly facing customers. They are multimodal railway logistics hubs that undertake cargo transportation, storage, loading and unloading, and delivery. The railway freight production operations and management (i.e., freight management and control platform) currently under construction mainly revolve around the integration of freight production operations, realize the generation of operation plans in the process of freight production operations, and the safety management and freight information management of the entire freight process, and only provide information support for the National Railway Group, Railway Bureau Group Company, train depots, and freight station operations.

[0004] However, existing railway freight logistics stations often rely mainly on manual control and have not yet achieved intelligent management. Therefore, there is an urgent need for a management and control platform that can realize railway logistics services in all aspects of station operations to efficiently manage railway logistics stations. Summary of the invention

[0005] In view of this, an embodiment of the present invention provides a railway digital logistics terminal platform to realize the digitization, efficiency and intelligent management of all factors and processes such as people, goods, vehicles and terminals.

[0006] One aspect of the present invention provides a railway digital logistics terminal platform, which includes a digital sub-platform and a business application sub-platform; wherein the digital sub-platform includes an Internet of Things perception system, a data service system and an artificial intelligence model system, and the business application sub-platform includes an automated production operation system, an intelligent logistics service system, a safety management system, a green park management system and a digital operation system;

[0007] The IoT sensing system is used to use sensing devices to sense station-level equipment and facilities to obtain logistics station data, and transmit the logistics station data to the data service system; among them, station-level equipment and facilities include loading and unloading equipment, safety monitoring equipment, and station guidance and energy monitoring equipment;

[0008] The data service system is used to generate operation services corresponding to each system in the business application sub-platform based on the received logistics station data, the freight operation plan from the external freight control and service platform and the pre-set business service engine, and transmit them to the business application sub-platform; wherein the business service engine is generated based on the pre-set freight operation process corresponding to each system in the business application sub-platform and the freight operation plan template obtained from the freight control and service platform;

[0009] The artificial intelligence model system is used to store and manage multiple artificial intelligence models; wherein the artificial intelligence models in the artificial intelligence model system include at least a crossing safety identification model and an anomaly detection model;

[0010] The automated production operation system is used to execute corresponding freight production operations through the operation services and business service engines corresponding to the automated production operation system, and send the operation status information collected when each freight production operation is executed to the data service system; wherein the operation services corresponding to the automated production operation system are associated with each freight production operation; the freight production operation includes a scheduled guided freight production operation and a scheduled abnormality detection freight production operation;

[0011] The intelligent logistics service system is used to receive cargo entry and exit requests and cargo entry and exit requests from the freight control and service platform through the data service system, generate reservation status information and fill in the passage reservation information based on the entry and exit requests, perform cargo entry and exit management and generate warehouse statistics information based on the entry and exit operation process pre-set for the cargo entry and exit requests, and send the reservation status information and warehouse statistics information to the data service system respectively; the intelligent logistics service system is also used to provide operation services corresponding to the intelligent logistics service system. When the scheduled guided freight production operation is executed, the intelligent logistics service system obtains the monitoring image data of the scheduled guided freight production operation from the data service system, determines the passing vehicle information based on the obtained monitoring image data, and determines the driving path of the corresponding vehicle based on the passing vehicle information, the pre-filled passage reservation information and the terminal vehicle operation plan from the data service system, so as to provide vehicle entry and exit guidance services;

[0012] The safety management system includes a crossing safety protection module and an operation anomaly detection module; the crossing safety protection module is used to obtain monitoring image data of the crossing area from the IoT perception system, and input the monitoring image data into the crossing safety identification model called by the business service engine of the data service system, output the crossing safety identification result, and generate a crossing safety protection strategy based on the identification result; the operation anomaly detection module is used to obtain the operation status information corresponding to the freight production operation with predetermined anomaly detection from the data service system based on the operation service corresponding to the safety management system, obtain the monitoring image data of the freight production operation with predetermined anomaly detection when executing from the IoT perception system, use the business service engine of the data service system to call the anomaly detection model in the artificial intelligence model system, obtain the anomaly information according to the obtained operation status information or monitoring image data, and feed back the anomaly information to the on-site personnel;

[0013] The green park management system includes an energy consumption management module and a human-vehicle management module. The energy consumption management module is used to obtain energy consumption monitoring data through the data service system, and to perform park energy consumption statistics and energy consumption warnings based on the energy consumption monitoring data; the human-vehicle management module is used to obtain user vehicle entry and exit information from the passing vehicle information in the intelligent logistics service system, and to perform human-vehicle statistics and management based on the user vehicle entry and exit information;

[0014] The digital operation system includes an operation simulation and settlement module, which is used to provide operation services corresponding to the digital operation system. It uses the historical freight bill data and carrier settlement forecast model of the digital operation system to simulate the profit and loss situation of railway freight, and realize pre-settlement of waybills and simulated profit settlement.

[0015] In some embodiments of the present invention, the logistics station data also includes equipment operation status data of each equipment in the equipment facility;

[0016] The intelligent logistics service system also includes an information service module and a customs declaration agent module. The information service module is used to obtain the railway logistics information released by the data service system; the customs declaration agent module extracts customs declaration information from the freight documents or multimodal transport data identified by the IoT sensing system, automatically selects the customs declaration area based on the customs declaration information and fills in the customs declaration form, sends the filled customs declaration form to the corresponding department through the data service system, and receives customs declaration progress information from the corresponding department;

[0017] The safety management system also includes a voice monitoring module, a safety inspection module and an emergency handling module. The voice monitoring module is used to obtain the monitoring voice data collected during the execution of each production operation from the automated production operation system through the data service system, and use the business service engine of the data service system to call the voice recognition model and / or semantic recognition model pre-stored in the artificial intelligence model system to identify the monitoring voice data; when the automated production operation system executes each production operation, the safety inspection module receives the inspection instructions sent by the automated production operation system through the data service system, and uses the intelligent inspection equipment to detect the vehicle body condition and the cargo loading condition of the vehicle during the execution of each production operation based on the inspection instructions; after receiving the emergency message sent by the data service system, the emergency handling module dispatches the text analysis model in the artificial intelligence model system through the business service engine of the data service system to perform text analysis and recognition on the pre-set emergency plan, generates emergency information based on the analysis results, and sends the emergency information to station-level equipment and facilities and relevant staff through the data service system;

[0018] The green campus management system also includes an equipment management module and a green resource management module. The equipment management module is used to obtain equipment operation status data in real time through the data service system, and based on the pre-built equipment history and equipment operation status data, use the pre-stored equipment fault diagnosis and prediction model to evaluate the health status of equipment in the equipment facilities; the green resource management module is used to calculate and predict carbon emissions based on energy consumption monitoring data, and to count the amount of green energy generated;

[0019] The digital operation system also includes an operation simulation and settlement module, which is used to monitor and count customer labels and cargo category labels, obtain terminal transportation volume information, and obtain transportation volume trends based on pre-stored transportation volume prediction models and terminal transportation volume.

[0020] In some embodiments of the present invention, the crossing safety recognition model includes a vehicle recognition model, and the anomaly detection model includes a personnel identity recognition model, a personnel posture recognition model, and a foreign object recognition model;

[0021] The monitoring image data obtained by calling the pre-stored crossing safety recognition model in the artificial intelligence model system through the business service engine of the data service system includes:

[0022] The vehicle recognition model is used to identify vehicles in the image at the flat aisle, and to identify vehicles that are about to arrive at or leave the flat aisle, thereby completing the flat aisle crossing monitoring;

[0023] The business service engine of the data service system calls the anomaly detection model pre-stored in the artificial intelligence model system to obtain anomaly information based on the acquired monitoring image data, including:

[0024] Based on the person's image, the person's clothing is identified using the person's identity recognition model, and whether the person's clothing meets the set clothing conditions is determined based on the person's clothing;

[0025] Based on the posture and action images of personnel, the personnel posture recognition model is used to identify personnel behavior and determine whether it meets the set abnormal behavior conditions, thereby completing the identification of abnormal personnel behavior;

[0026] Based on the environmental image of the predetermined area, the foreign object recognition model is used to identify and judge whether there are people or vehicles entering, so as to complete the perimeter intrusion recognition; the predetermined area includes key areas and operation areas.

[0027] In some embodiments of the present invention, the digital intelligence sub-platform also includes a digital twin system, which is used to obtain logistics station data from the data service system, and use the digital twin technology and the obtained logistics station data to build a three-dimensional spatial model of the logistics station; it is also used to use the pre-stored time series prediction model and the logistics station data to make predictions to obtain the logistics station data in the future time period; and it is also used to use the pre-stored decision tree model and the obtained logistics station data in the future time period to generate a deployment and operation strategy for each device in the equipment facility;

[0028] The platform also includes a logistics station management and display system, which includes a situation monitoring unit, a twin station unit and a command and dispatch unit; wherein the situation monitoring unit is used to visually display the logistics station data obtained by real-time monitoring and the logistics station data in the future time period, the twin station unit is used to associate the three-dimensional spatial model of the logistics station with the real-time attribute information of the physical object to realize the visual display of the logistics station, and the command and dispatch system is used to visually display the command and dispatch strategy.

[0029] In some embodiments of the present invention, the data type of the multimodal transport logistics data includes multiple types of the following: port logistics data, customs release data, aviation logistics data and road logistics data; the transit reservation information includes the type of transported goods and transport vehicle information;

[0030] Multimodal logistics data is obtained through the following methods:

[0031] The data service system located in the data server of the railway bureau-level logistics terminal platform obtains the multimodal logistics data of the external system from the Internet through the database server cluster of the freight control and service platform in the internal service network of the China Railway Corporation and the external service network equipment of the China Railway Corporation, and transmits it to the intelligent logistics service system.

[0032] In some embodiments of the present invention, the loading and unloading equipment includes one or more of a gantry crane, a reach stacker, a forklift, a pallet, a stacker and a conveyor; the safety monitoring equipment includes one or more of a video monitoring device, a crossing protection device, a protection signal device, an overload detection device, a fire monitoring device and a patrol inspection device;

[0033] Use sensing equipment to sense station-level equipment and facilities to obtain logistics station data, including:

[0034] Sensing devices are used to perceive the monitoring data of each device in the station-level equipment facilities, and the data is collected through the data transmission network to form logistics station data; the data transmission network includes one or more of wired network, mobile Internet private network and Internet of Things; the Internet of Things supports RS232 / 485 / 432, RJ45 and 4G / 5G communication interfaces, and supports Modbus, TCP / IP, MQTT, OPC, HTTP and B-IOT communication protocols.

[0035] In some embodiments of the present invention, the production operation scheduled for guidance includes a door inspection and passage operation; the production operation scheduled for inspection includes a cargo inspection operation and a sling operation;

[0036] The intelligent logistics service system includes a passage reservation module, an intelligent guidance module and a warehouse management module. The passage reservation module is used to receive the cargo entry and exit request sent by the requesting party based on the freight control and service platform through the data service system, and generate reservation status information after accepting or rejecting the cargo entry and exit request, and send the reservation status information to the requesting party through the data service system; when the gate inspection and passage operation is executed, the intelligent guidance module obtains the monitoring image data when the gate inspection and passage operation is executed through the data service system, determines the passing vehicle information according to the obtained monitoring image data, and determines the driving path of the corresponding vehicle based on the passing vehicle information, the pre-filled passage reservation information and the terminal vehicle operation plan from the data service system, so as to provide vehicle entry and exit guidance services; the warehouse management module is used to receive the cargo entry and exit request sent by the requesting party based on the freight control and service platform through the data service system, record the status data of the cargo entry and exit operation according to the cargo entry and exit request and the pre-set entry and exit operation process, generate warehouse statistical information, and feed back the warehouse statistical information to the data service system in real time.

[0037] In some embodiments of the present invention, determining the passing vehicle information according to the acquired monitoring image data includes:

[0038] The business service engine of the data service system calls the vehicle identification model pre-stored in the artificial intelligence model system to identify the vehicle number and container number during the execution of the set guided production operation.

[0039] In some embodiments of the present invention, the data service system includes a resource directory service, a data authority service, a data search engine, and a business service engine; wherein the data authority service is used to authenticate the data requester and determine the type of data to be transmitted based on the authority of the data requester;

[0040] The data service system is also used to receive the operation status information collected during the execution of each production operation from the automated production operation system, and transmit the operation status information to the freight management and service platform.

[0041] Another aspect of the present invention provides a computer-readable storage medium having a computer program / instruction stored thereon, which implements the platform described in any of the above embodiments when the computer program / instruction is executed by a processor.

[0042] The railway digital logistics station platform proposed in the present invention builds a networked railway digital logistics station around the integration of freight production operations, uses the digital sub-platform to acquire and forward logistics station data and artificial intelligence decisions, and uses the business application sub-platform to realize the station's automated production operations, logistics guidance and cargo warehousing services, and safe operation protection and other businesses, thereby perceiving and interconnecting the holographic elements of people-vehicles-equipment-cargo-yard in railway freight logistics stations.

[0043] Additional advantages, purposes, and features of the present invention will be described in part in the following description, and will become apparent to those skilled in the art after studying the following, or may be learned from the practice of the present invention. The purposes and other advantages of the present invention may be achieved and obtained by the structures specifically indicated in the specification and the accompanying drawings.

[0044] Those skilled in the art will appreciate that the objectives and advantages that can be achieved with the present invention are not limited to the above specific description, and the above and other objectives that can be achieved by the present invention will be more clearly understood from the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] The drawings described herein are used to provide a further understanding of the present invention, constitute a part of the present application, and do not constitute a limitation of the present invention. In the drawings:

[0046] Figure 1 This is an architecture diagram of the railway digital logistics terminal platform in one embodiment of the present invention.

[0047] Figure 2 Schematic diagram of data-services between a data service system and an external platform in one embodiment of the present invention.

[0048] Figure 3 This is a network architecture diagram for obtaining multimodal logistics data by the railway digital logistics terminal platform in one embodiment of the present invention.

[0049] Figure 4 The figure is a functional diagram of a business application sub-platform in one embodiment of the present invention.

[0050] Figure 5 The figure is a schematic diagram of the composition of the cargo inspection business service engine in one embodiment of the present invention.

[0051] Figure 6 The figure is a schematic diagram of the steps of each link of the cargo inspection business process in one embodiment of the present invention. DETAILED DESCRIPTION

[0052] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the embodiments and the accompanying drawings. Here, the illustrative embodiments of the present invention and their descriptions are used to explain the present invention, but are not intended to limit the present invention.

[0053] It should also be noted that, in order to avoid obscuring the present invention due to unnecessary details, only structures and / or processing steps closely related to the solutions according to the present invention are shown in the accompanying drawings, while other details that are not closely related to the present invention are omitted.

[0054] It should be emphasized that the term “include / comprises” when used herein refers to the presence of features, elements, steps or components, but does not exclude the presence or addition of one or more other features, elements, steps or components.

[0055] Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. In the accompanying drawings, the same reference numerals represent the same or similar components, or the same or similar steps.

[0056] This application proposes a railway digital logistics station platform, which is suitable for railway logistics bases, railway freight yards, railway dedicated lines and other logistics stations involved in railway freight business. The existing railway logistics station is a full-scenario logistics operation site where the railway undertakes the transportation, storage, loading and unloading and delivery of goods for customers. In order to solve the problem of sharing railway, highway, water transportation, customs and aviation logistics data, this application is supported by the 95306 platform (i.e., the 95306 freight comprehensive intelligent service platform) and the freight control platform (i.e., the railway freight production operation and control platform), to achieve multi-party interaction and situational awareness of the panoramic visualization control of production operation command, and provide personalized logistics services such as warehousing services, multi-dimensional security control and green ecological park services, so as to realize the holographic element perception and interconnection of people-vehicles-equipment-cargo-yard in railway freight logistics stations.

[0057] The railway digital logistics station proposed in this application aims at automated operation, personalized logistics services, all-round security and integrated operation control. It applies new technologies such as cloud computing, Internet of Things (IoT), big data, artificial intelligence and robots to achieve comprehensive perception, ubiquitous interconnection, collaborative operation and safety control of station resources, so as to build a new type of railway green logistics station with more efficiency, safety and thoughtful services. In addition, the system architecture of the railway digital logistics station proposed in this application is an overall design of the various components of the railway digital logistics station from the dimensions of the intelligent operation center (IOC, also referred to as the logistics station control and display system in this application), business application sub-platform and support base, which can provide important guidance for the digital construction and operation of the logistics station of the National Railway Group.

[0058] Figure 1 FIG. 1 is an architecture diagram of a railway digital logistics terminal platform in one embodiment of the present invention. Figure 1 As shown, the railway digital logistics terminal platform proposed in this application mainly includes a digital sub-platform (i.e., a digital base) and a business application sub-platform.

[0059] In some embodiments of the present invention, the digital intelligence sub-platform includes an IoT sensing system (i.e. Figure 1 The IoT base in the system), data service system (i.e. data service base), artificial intelligence model system (i.e. artificial intelligence base) and digital twin system (i.e. digital twin base).

[0060] More specifically, the IoT sensing system can be used to use sensing devices to sense station-level equipment and facilities to obtain logistics station data, clean the acquired logistics station data (for example, process abnormal values, duplicate values, and missing values), and transmit the cleaned logistics station data to the data service system. Among them, station-level equipment and facilities (i.e., equipment and facility bases) can be set at the station level to provide equipment support for the digital logistics station system.

[0061] Logistics terminal data refers to data generated during the transportation of railway goods from the departure station, in transit, and at the arrival station. It may include train information such as train number and departure time, waybill information such as the departure station, terminal station, cargo type, and freight volume, operation information such as loading and unloading and cargo inspection (which may include operation plan information and operation status information), and equipment operation information. The safety monitoring data collected by equipment and facilities include monitoring data of monitoring images and overload and unbalanced load data, terminal operation data include operation status data and equipment status data, terminal vehicle guidance data and energy consumption monitoring data collected by field guidance and energy consumption monitoring equipment, and status data of all equipment and facilities.

[0062] As an example, station-level equipment and facilities may include four types of equipment and facilities, namely, loading and unloading equipment, safety monitoring equipment, field guidance and energy consumption equipment, and basic equipment. Among them, loading and unloading equipment may include one or more of equipment such as gantry cranes, front loaders, forklifts, pallets, stackers, and conveyors; safety monitoring equipment may include one or more of equipment such as video surveillance equipment, crossing protection equipment, protection signal equipment, overload and unbalanced load detection equipment, fire monitoring equipment, and inspection equipment (such as inspection robots); field guidance and energy monitoring equipment may include field guidance equipment such as gate inspection equipment, automatic guided vehicles (AGV), intelligent guided vehicles (IGV), and guidance screens, as well as energy consumption monitoring equipment such as street lights and lighting management; and basic equipment (also known as general equipment) may include one or more of equipment such as network equipment, storage equipment, sensors, positioning devices, and mobile terminals. Therefore, the IoT perception system can use sensing devices to perceive logistics-related data from loading and unloading equipment, safety monitoring equipment, site guidance and energy consumption equipment, and basic equipment deployed in the station. For example, the IoT perception system may include freight loading and unloading data collected by loading and unloading equipment, monitoring data collected by safety monitoring equipment (which may include monitoring image data and monitoring voice data), and station vehicle guidance data and energy consumption monitoring data collected by station guidance and energy monitoring equipment.

[0063] The equipment types of the station-level equipment and facilities mentioned above are only examples, and the present invention is not limited thereto. The corresponding equipment and facilities can be configured or optimized according to the business application. For example, the station-level equipment and facilities can also include storage equipment and environmental monitoring equipment. In addition, the present application does not specifically limit the sensing equipment, and the existing sensing equipment (such as sensors and infrared sensing equipment, etc.) can be used to collect data from various devices in the station-level equipment and facilities.

[0064] In some embodiments of the present invention, the IoT sensing system may use sensing devices to sense station-level equipment and facilities to obtain logistics station data, including:

[0065] The monitoring data of each device in the station-level equipment and facilities are sensed by sensing equipment, and the data is collected in the IoT sensing system through the data transmission network to form logistics station data. Among them, the data transmission network includes one or more of a wired network, a mobile Internet private network and the Internet of Things; among them, the wired network mainly includes wired transmission such as optical fiber and dedicated line, and the mobile Internet private network transmits the sensing data through a 4G or 5G communication private network. The Internet of Things supports communication interfaces such as RS232 / 485 / 432, RJ45 and 4G / 5G, and supports multiple communication protocols such as Modbus, TCP / IP, MQTT, OPC, HTTP and B-IOT, and supports data access from different manufacturers and different devices. This application establishes a reliable transmission channel between the IOT IoT base and the station-level equipment and facilities that is compatible with heterogeneous devices and has nothing to do with the communication protocol. It mainly focuses on the standardized storage of heterogeneous IoT data, the extended access of multi-source IoT devices, the storage of massive IoT data, the support for complex data analysis and judgment, and the access of various IoT protocols to achieve comprehensive perception of logistics station data (including data on people, vehicles, goods and fields).

[0066] As an example, in addition to data transmission, the IOT base can also provide a wealth of common basic services for the Internet of Things to achieve unified connection and management of IoT terminal devices, and support management functions such as device plug-and-play, networked firmware upgrades, remote configuration, monitoring and control of equipment, remote fault diagnosis and maintenance, and communication cost control.

[0067] The data service system can be used to generate operation services for each system in the business application sub-platform based on the received logistics station data, the freight operation plan from the external platform (in this application, the freight operation plan can be obtained from the freight control and service platform) and the pre-set business service engine, and transmit it to the business application sub-platform. Specifically, in the data service system, the corresponding field information can be extracted from the logistics station data and the freight operation plan according to the field information required in the business service engine, thereby generating an operation service.

[0068] Specifically, in the present application, the freight control and service platform includes the 95306 platform and the freight control platform. The business service engine is configured according to the pre-set freight operation process and the freight operation plan template obtained from the freight control and service platform. Among them, the freight operation process can follow the existing freight operation process, or it can be an updated freight operation process; the freight operation plan template is obtained from the freight control platform, and may include fields such as tracks, marshalling and platforms. Since the freight operation process in this application corresponds to each system in the business application subplatform, the business service engine generated based on the freight operation process can correspond to each system in the business application subplatform, and the operation service generated based on the business service engine can also correspond one-to-one with each system in the business application subplatform. After the data service system generates the operation service for each system in the business application subplatform, the operation service can be sent one-to-one to each system in the business application subplatform.

[0069] As an example, the operation service generated by the data service system can be the operation process or business guidance strategy for each system in the business application sub-platform to execute the freight operation process, which is used to guide each system in the business application sub-platform to operate in the corresponding business scenario. For example, the operation service may include an operation process or operation strategy to guide the specific steps performed at each time node; the operation service may also include an operation plan to indicate the goals achieved at each stage; the operation service may also include an operation instruction to indicate a certain action. For example, the operation service can trigger an event at a specified time or event, or trigger event B after event A occurs.

[0070] In some embodiments of the present invention, the data service system can also be used to obtain multimodal logistics data from an external system through a freight management and service platform, and transmit the multimodal logistics data to the intelligent logistics service system to associate with the customs declaration agent module.

[0071] Intermodal transport refers to a complex transportation process completed by two or more means of transportation connecting and transferring with each other; and logistics big data usually includes waybill information data and vehicle information data. Therefore, the intermodal logistics data in this application can be waybill and vehicle information data of various means of transportation other than railways.

[0072] like Figure 2As shown, the multimodal logistics data in this application is formed by integrating the logistics data obtained from the external system through the freight control and service platform, and may include one or more of port logistics data, customs release data, aviation logistics data and road logistics data. For example, port logistics data may include data on waybills and ship information such as ship schedules, port storage, collection and distribution ports and manifests, road logistics data may include waybills and vehicle data such as order acceptance, transportation, location, status, driver, license plate and freight rates, aviation logistics data may include waybills and aircraft flight data such as departure time, arrival time and transportation volume, and customs logistics data may include waybills and vehicle data such as cargo type, cargo volume, transportation route, customs clearance time, etc. As an example, the external system may include a transportation integration platform, a cargo ticket system and a current vehicle system. The transportation integration platform, the cargo ticket system and the current vehicle system are systems independent of the freight control and service platform.

[0073] The data service system can also obtain customer transportation data from the 95306 platform, so that the data service system can transmit the customer transportation data to the intelligent logistics service system to fill in the passage reservation information or carry out cargo warehousing. Among them, the customer transportation data may include transportation information (transportation information may include license plate number, name of delivery personnel, contact information of delivery personnel, promised transportation time and remarks, etc.), and may also include request information such as the requester's cargo entry and exit request and cargo entry and exit request.

[0074] For example, logistics terminal data and multimodal logistics data may include various data types such as operating status, infrastructure, video image, fault, alarm and log.

[0075] The railway digital logistics terminal platform proposed in this application can realize data sharing and interaction with external systems through the freight management and service platform. In the process of data sharing, steps such as data filtering, data adaptation, data conversion, data breakpoint transmission, data exchange process and data services are included; in the process of data exchange, the system proposed in this application may need to use resource directory, data quality detection, data desensitization, data exchange process management, exchange monitoring and data auditing functions for exchange management. In addition, attention should be paid to the security management of data during the data sharing and interaction process. Therefore, the system's data encryption, authentication and authorization data exchange security services can be used to perform security verification on the data exchange parties and the exchanged data.

[0076] Since the data service system and the IoT sensing system belong to the same system, the data service system can directly access logistics terminal data from the IoT sensing system in a standardized and modular manner; however, since intermodal logistics data is obtained from external systems and cannot be directly transmitted to the data service system, the railway digital logistics terminal platform needs to be forwarded through a secure data transmission channel and forwarded through the management and control platform before it can be obtained.

[0077] In some embodiments of the present invention, Figure 3 As shown in the figure, the specific process of the data service system obtaining multimodal logistics data through the freight control and service platform is as follows:

[0078] The multimodal transport logistics data from the Internet is sent to the external service network equipment of the National Railway Group through the firewall; the external service network equipment includes a message queue server for sending and receiving data with external systems, an application server for user processing interactive data, and a data server for storing and managing interactive data;

[0079] The message queue server in the external service network device receives the multimodal logistics data, and the application server processes the received multimodal logistics data and stores it in the data server, and transmits the processed multimodal logistics data to the internal service network of the National Railway Group through the security platform;

[0080] The database server cluster of the freight management and control platform in the internal service network receives the processed multimodal logistics data and transmits it to the logistics terminal platform data server of the corresponding railway bureau, so that the data service system obtains the processed (including removing outliers, deleting duplicate values ​​and filling missing values, etc.) multimodal logistics data from the logistics terminal platform data server.

[0081] That is, the data service system located in the data server of the railway bureau-level logistics terminal platform obtains the multimodal logistics data of the external system from the Internet through the database server cluster of the freight control and service platform (or freight control platform) in the internal service network of the China Railway Corporation and the external service network equipment of the China Railway Corporation, and transmits it to the intelligent logistics service system through the data service system.

[0082] The data service system can also be used to receive the operation status information collected when each freight production operation is executed from the automated production operation system, and transmit the obtained operation status information to the freight control platform. That is, the data service system can exchange data with the external freight control and service platform, the data service system obtains the freight operation plan template and freight operation plan from the freight control and service platform, and sends the operation status information collected when each freight production operation is executed in the automated production operation system to the freight control and service platform.

[0083] As an example, the data service system can provide standardized tools for data governance and data sharing of logistics station data, thereby unifying data standards and providing external data services, so that the artificial intelligence model system, digital twin system, business application sub-platform and logistics station management and display system can obtain corresponding data according to business needs, and realize the system's cross-business and cross-departmental information service functions. In addition, the data service system can also transmit the logistics station data collected by the IOT base to the freight management and control platform through a unified interface according to different data domains, and the freight management and control platform will perform integrated lake and warehouse storage in the data center of the National Railway Group.

[0084] In some embodiments of the present invention, the data service system includes a resource directory service, a data authority service, a data search engine and a business service engine; wherein the business service engine is configured based on the freight operation plan template and the operation processes corresponding to each system in the business application sub-platform, and can schedule the execution of freight operations according to the freight operation plan data and the operation processes to achieve the collaborative functions of freight operations such as loading and unloading operations at logistics stations; the data authority service is used to authenticate the data requester and determine the type of data to be transmitted based on the authority of the data requester; the data search engine can be used to search for corresponding data in the data service system according to business needs; the resource directory service is used to manage the acquired multimodal logistics data and logistics station data.

[0085] In addition, the artificial intelligence model system is used to store and manage artificial intelligence models so that each system in the business application sub-platform can perform data analysis according to different business needs. Artificial intelligence models can analyze data such as images, text, and voice, and can also analyze data such as structured data. Specifically, the models stored in the artificial intelligence model system may include text analysis models, car box recognition models, crossing safety recognition models, voice recognition models (and / or semantic recognition models), anomaly detection models, and carrier settlement prediction models, etc., which can be applied to intelligent logistics service systems, safety management systems, and digital operation systems in the business application sub-platform. During the application process, the artificial intelligence models in the artificial intelligence model system need to be scheduled using the business service engine in the data service system.

[0086] For example, the artificial intelligence model system can also use pre-stored relational storage models to analyze structured data in logistics terminal data and multimodal logistics data to simplify the data extraction process.

[0087] As an example, the AI ​​model system can provide a one-stop AI model construction function service set, provide a machine learning and deep learning environment, and realize the service capabilities of the entire AI work cycle, including data source access, data annotation (using text annotation templates for image annotation or text annotation), data set management, data preprocessing, model management, prediction and reasoning service management, and full service monitoring. Among them, the function service set is a collection of function models built through machine learning and AI models.

[0088] In some examples of the present invention, the digital twin system can be used to obtain logistics station data from the data service system, and use the digital twin technology to build a three-dimensional space model of the logistics station; the digital twin system can also be used to use the time series prediction model pre-stored in the artificial intelligence model system (which can be scheduled by the business engine in the data service system) and the logistics station data for prediction, and obtain the logistics station data in the future time period; and the digital twin system can also be used to use the decision model pre-stored in the artificial intelligence model system and the obtained logistics station data in the future time period to generate deployment and operation strategies for equipment and facilities. That is, the digital twin system is used to realize the all-round and multi-angle integrated display of production factors, situation prediction analysis and auxiliary decision-making and command.

[0089] More specifically, the digital twin system can use digital twin technology, relying on the digital logistics station technology system and spatial information model, to build a three-dimensional spatial model of a digital station corresponding to the station in the physical world. That is, combine the mechanism model and the data-driven model to build a twin scene for freight operation organization, safety protection and equipment monitoring, so as to realize full-sensory simulation, real-time monitoring, accurate diagnosis and deduction and prediction of the state of physical entities in the real environment, promote the digitization, real-time, visualization of all elements such as people, goods, vehicles and stations in the station, and intelligent collaboration of freight operations, realize efficient collaboration and parallel interaction between physical stations and digital stations, and support immersive panoramic roaming, free switching of multi-dimensional perspectives and remote control.

[0090] The railway digital logistics terminal platform also includes a logistics terminal management and display system, which includes a situation monitoring unit, a twin station unit and a command and dispatch unit (i.e., the leadership cockpit); among them, the situation monitoring unit is used to visualize the logistics terminal data obtained by real-time monitoring of equipment and facilities and the logistics terminal data in future time periods; the twin station unit is used to associate the three-dimensional spatial model of the logistics station with the real-time attribute information of the physical object to realize the visual display of the logistics station; the command and dispatch system is used to visualize the command and dispatch strategies.

[0091] More specifically, the twin station system associates the three-dimensional spatial model of the logistics station constructed by the digital twin base with the real-time attribute information of the physical object, constructs a visualized digital station, and realizes a panoramic collaborative visualization display of operations. The command and dispatch system visualizes the operational analysis and production organization optimization decision-making of the freight operation report, marketing service report, asset management report, financial liquidation report, and logistics service analysis report provided by the digital operation system. The situation monitoring system combines the logistics station data and the multimodal logistics data obtained from the freight management and control platform, and integrates the data on station production, logistics, equipment, operation and safety in the business application module to realize the freight production operation, warehousing, multimodal logistics, personnel statistics, vehicle statistics, security situation, equipment management, marketing, energy efficiency and environmental space situation monitoring of the station.

[0092] The digital intelligence base mentioned above can provide network, technology, data and algorithm support for the logistics terminal management and display system and business application sub-platform, that is, the data service system, artificial intelligence model system and digital twin system provide data services, artificial intelligence and twin simulation services for the IOC and business application sub-platform respectively, and the digital intelligence sub-platform can be set at the railway bureau level.

[0093] like Figure 4 As shown, the business application sub-platform may include an automated production operation system, an intelligent logistics service system, a safety management system, a green park management system and a digital operation system.

[0094] In some embodiments of the present invention, the automated production operation system can be used to execute corresponding freight production operations through the operation service corresponding to the automated production operation system and the business service engine located in the data service system, and send the operation status information collected during the execution of each freight production operation to the data service system.

[0095] As an example, the operation service corresponding to the automated production operation system can be divided into multiple operation services corresponding to each freight production operation, that is, the operation service corresponding to the automated production operation system is associated with each freight production operation in the automated production operation system. Therefore, based on the operation service corresponding to the automated production operation system and the business service engine corresponding to the automated production operation system, each freight production operation can be guided to execute separately.

[0096] More specifically, the automated production operation system supports freight production operations through collaborative linkage with the freight control platform based on the pre-configured business service engine in the data service system and the generated operation service corresponding to the automated production operation system (also known as freight production operation scheduling service). The automated production operation system can coordinate data, equipment and personnel to implement freight production operations such as door inspection and passage operations, cargo inspection operations, sling operations and cargo transfer operations by access door equipment, security equipment and loading and unloading equipment according to the operation plan based on the operation service corresponding to the automated production operation system generated in the data service system and the business service engine corresponding to the automated production operation system; and the automated production operation system can also transmit the operation status information of the production operation to the freight control platform through the data service system when the operating equipment performs the freight production operation.

[0097] As an example, the freight operation process used to configure the business service engine includes the operation process of each freight production operation in the automated production operation system, so a business service engine corresponding to the automated production operation system can be generated. In this application, freight production operations may include one or more of freight inspection operations, gate inspection and passage operations, vehicle receiving and dispatching operations, hoisting operations, yard operations, forklift operations, and docking and transfer operations. The operation status information can be used to display the execution status of the operation, and may include information such as whether the freight production operation has been completed, the equipment that executes the freight production operation, and the time when the freight production operation is executed.

[0098] Freight production operations in the automated production operation system may include freight production operations with scheduled guidance and freight production operations with scheduled anomaly detection. Freight production operations with scheduled guidance refer to freight production operations that require vehicle guidance during the execution of the operation, such as door inspection operations; freight production operations with scheduled anomaly detection refer to freight production operations that require anomaly detection during the execution of the operation, such as cargo inspection operations and sling operations.

[0099] The intelligent logistics service system is used to receive, through the data service system, cargo entry and exit requests and cargo in and out of warehouse requests sent by the requesting party based on the freight control and service platform (the requesting party sends cargo entry and exit requests and cargo in and out of warehouse requests to the freight control and service platform, and the freight control and service platform forwards the received cargo entry and exit requests and cargo in and out of warehouse requests to the data service system), generate reservation status information based on the entry and exit requests and fill in the passage reservation information, perform cargo in and out of warehouse management and generate warehouse statistics information based on the cargo in and out of warehouse requests, and send the reservation status information and warehouse statistics information to the data service system; and, based on the operation service corresponding to the intelligent logistics service system, when the scheduled guided freight production operation is executed, the intelligent logistics service system obtains the monitoring image data of the scheduled guided freight production operation from the data service system (the monitoring image data is obtained by the data service system from the automated production operation system), determines the passing vehicle information based on the acquired monitoring image data, and determines the driving path of the corresponding vehicle based on the determined passing vehicle information, the passage reservation information and the terminal vehicle operation plan from the data service system, so as to provide vehicle entry and exit guidance services.

[0100] As an example, the reservation status information may include a reservation failure message and a reservation success message, and may also include a pass code for entering and exiting the station (users can enter and exit the logistics station according to the pass code), etc. Warehousing statistical information is information obtained from the statistics of goods in the warehouse, and may include goods in and out of the warehouse information and goods inventory information. For example, the warehousing statistical information may include data such as the location of stored goods, the quantity of goods, and the storage status of goods. The station vehicle operation plan is determined based on the goals of the vehicle entering and exiting the station. For example, the goals of the vehicle entering and exiting the station may be loading, unloading, or returning the vehicle, etc. The station vehicle operation plan may be transmitted from the requesting party to the data service system through the freight control and service platform, and may include field information such as time, operation area, and driver name. The above-mentioned successful reservation information, warehousing statistical information, and station vehicle operation plan are only examples, and the present invention is not limited to this.

[0101] The intelligent logistics service system takes logistics demand as the core and obtains corresponding logistics service data from the data service system, so as to provide customers with more complete and personalized logistics services. Specifically, the intelligent logistics service system may include a traffic reservation module, an intelligent guidance module, a warehouse management module, an information service module and a customs declaration agent module. Each module can realize its own function based on the operation service generated by the data service system for the intelligent logistics service system. The specific business scenarios are as follows:

[0102] The passage reservation module is used to receive the cargo entry and exit request sent by the requesting party based on the freight control and service platform through the data service system based on the operation service corresponding to the passage reservation module in the intelligent logistics service system, and after determining whether to accept or reject the cargo entry and exit request, generate reservation status information, and send the reservation status information to the requesting party through the data service system; and, in the case where the reservation status information includes a reservation success message, fill in the passage reservation information based on the cargo entry and exit request;

[0103] Taking the gate inspection and passage operation as an example of the scheduled guided freight production operation, the intelligent guidance module can obtain the monitoring image data of the gate inspection and passage operation from the data service system when the gate inspection and passage operation is executed based on the operation service corresponding to the intelligent logistics service system, determine the passing vehicle information according to the acquired monitoring image data, and determine the driving path of the corresponding vehicle based on the passing vehicle information, the pre-filled passage reservation information and the terminal vehicle operation plan from the data service system, so as to provide vehicle entry and exit guidance services;

[0104] The warehouse management module is used to receive the goods in and out request sent by the requester based on the freight control and service platform through the data service system based on the operation service corresponding to the warehouse management module in the intelligent logistics service system, record the status data of the goods in and out operation according to the goods in and out request and the pre-set in and out operation process, generate warehouse statistics information, and feed back the warehouse statistics information to the data service system in real time;

[0105] The information service module is used to obtain the railway logistics information (which may include the source of goods, transportation capacity and vehicle source, etc.) released by the data service system based on the operation service corresponding to the information service module in the intelligent logistics service system; for example, the railway logistics information is shared within a certain period of time after the data service system releases the railway logistics information;

[0106] The customs declaration agent module extracts customs declaration information from the freight documents (such as image and text recognition) or multimodal transport data recognized by the IoT sensing system, automatically selects the customs declaration area based on the customs declaration information and fills in the customs declaration form, sends the filled-in customs declaration form to the corresponding department (such as customs) through the data service system, and receives customs declaration progress information from the corresponding department.

[0107] The above-mentioned scheduled guided freight production operation is a gate inspection and passage operation, which is only an example and the present invention is not limited to this.

[0108] In some embodiments of the present invention, determining the passing vehicle information according to the acquired monitoring image data includes:

[0109] The business service engine of the data service system calls the vehicle identification model pre-stored in the artificial intelligence model system to identify the vehicle number and container number during the execution of the set guided freight production operation, and record the operation execution status.

[0110] As an example, the passage reservation information may include the information of the goods entering the station (for example, the information of the goods collected in advance (the name of the goods, the number of pieces, the weight), the name of the customer, the time of the appointment to enter the station, the name of the station to enter the station, the name of the station to exit the station, the demand order number and the exit order number, etc.) and the information of the vehicle entering the station (for example, the license plate number, the vehicle model, the assigned transport personnel, the entry order number of the mixed cargo transportation vehicle, the truck tarpaulin handover order number, the declaration of the vehicle unloading operation and the transport capacity provider, etc.). In the process of filling in the reservation information, the corresponding demand order number, the exit order number, the entry order number of the mixed cargo transportation vehicle, the information of the goods collected in advance (the name of the goods, the number of pieces, the weight), the truck tarpaulin handover order number and the self-loading and unloading information can be selected in the reservation function interface. When selecting a transport capacity provider, enter the transport capacity provider information, and the electronic entrustment agreement can be automatically generated. When selecting a driver, enter the driver information, and the electronic entrustment agreement can be automatically generated. If the freight vehicle is provided by the customer, the customer can make an entry reservation while filling in the vehicle information.

[0111] In addition, goods in and out management is performed based on the pre-set in and out operation process of the goods in and out request, including: the warehouse management module in the intelligent logistics service system can generate a warehouse identification binding the requester and the stored goods information based on the in and out request from the data service system, and automatically generate an entry record, or, based on the goods outbound request from the data service system, determine the requester and the stored goods information, identify the warehouse identification of the corresponding goods through identification recognition technology, and automatically generate an outbound record; wherein, the entry request and the outbound request include the requester and the stored goods information, so that the warehouse identification binding the requester and the stored goods information is determined in the warehouse management module according to the in and out request.

[0112] More specifically, after the warehousing request sent by the user is transmitted to the warehousing management module in the intelligent logistics service system through the data service system, the warehousing management module can generate a warehousing identification and warehousing document that binds the requester and the stored goods information, and recommends the selectable cargo location and cargo area; after the goods with the warehousing identification on the surface are put into the warehouse, the warehousing record and picking list are automatically generated. In the process of goods entering the warehouse, the Radio Frequency Identification (RFID) tag, barcode or QR code can be scanned to assist in maintaining the data such as the quantity and time of goods entering the warehouse, and in the process of goods entering the warehouse, the warehouse entry instruction can be generated so that the loading and unloading and handling operators can move the incoming goods to the designated area. After the handling of the incoming goods is completed, the warehouse entry record can be further improved, and the handling operator and operation time can be added. In the process of goods leaving the warehouse, the storage goods information corresponding to the consignor can be automatically screened according to the requester's departure request, and the departure operation can be assisted by scanning the RFID tag, barcode or QR code, and the departure order and picking list are automatically generated. The departure instruction can be generated, and the inventory record is automatically updated after the handling operator completes the execution of the received departure instruction. For example, the warehouse management module can identify the warehouse identification (such as RFID tags, barcodes or QR codes, etc.) attached to the surface of the goods through RFID wireless communication technology or automatic identification technology such as barcode QR codes, so as to grasp the inventory of the warehouse in real time and realize the automation of the collection, storage, sorting and delivery of goods in the warehouse. In addition, for stations with relatively simple business and relatively regular storage and stacking, automatic picking carts can be introduced to assist in transportation to achieve efficient transportation.

[0113] In addition to the goods in and out services, the warehouse management module can also be used to use mobile terminals to conduct intelligent inventory checks on the goods in the terminal warehouse, and use the inbound and outbound records to monitor the type, quantity, inbound and outbound time and other information of the existing goods, and obtain the name, quantity and type of goods in the warehouse, so as to accurately grasp the inventory quantity and the occupancy time of the cargo space; the warehouse management module is also used to realize the transfer and allocation of physical goods and fixed assets, and automatically update the cargo area and cargo space according to the information of the moved goods; the warehouse management module is also used to visualize the cargo space area, and to sort the terminal (including The warehouse management module can be used to divide the cargo area and cargo space into areas such as warehouses, awnings and outdoor venues, etc., to provide a basis for selecting specific cargo areas and cargo spaces for subsequent cargo pickup and delivery tasks, and can synchronously adjust the display of cargo areas and cargo spaces according to the operating conditions; the warehouse management module is also used for online warehouse leasing, and the warehouse lessor (the party that provides basic hardware facilities such as warehouses and provides the function of signing a lease agreement) and the lessee (who can independently control and manage designated warehouses or storehouses) use the transaction system equipped for the warehousing business to realize the business contract signing function, complete the signing of electronic warehousing contracts and warehouse lease contracts online, and use the online payment function to complete the transaction.

[0114] The information service module is used to share railway logistics information. For example, a digital railway freight station integrated service system for other enterprises and users can be built in the information service module, and the information dynamics, service guides and railway logistics information of the station logistics can be displayed to users (including cargo owners and drivers, etc.) through the Internet. The information service module can be presented in the form of a portal website to provide users with an online logistics transaction environment and "one-stop" services, so as to realize the timely exchange and sharing of logistics information and related information. In addition, the comprehensive service system in the information service module can also provide intelligent logistics transactions, real-time transaction processing security authentication services, online customer service services, consulting services related to cargo sources and transportation capacity, complaint and suggestion services, and allow logistics companies to publish information content related to logistics business and other related services.

[0115] The customs declaration agent module is used to pre-fill the customs declaration form based on the customs declaration needs and cargo clearance needs of the requesting party, extracting the corresponding customs declaration information from the IoT sensing system document identification or the multimodal transport data obtained from the external system. In this application, the customs declaration agent module only needs to declare the customs clearance documents once to smooth customs clearance in various provinces in the country without frequent customs transfers, which improves the full openness and sharing of information and enhances business collaboration capabilities. In addition, this application puts the customs declaration, logistics, freight forwarding, warehousing and customs declaration of importers / exporters upstream and downstream of the customs clearance industry chain on the same platform, and realizes effective connection and collaborative operation with external systems and third-party companies, improving the efficiency and predictability of cargo clearance processing.

[0116] The operation services corresponding to the intelligent logistics system can be divided into multiple operation services corresponding to the passage reservation information, intelligent guidance module, warehouse management module, information service module and customs declaration agent module, which are used to guide the function implementation of each module; similarly, the operation services corresponding to the safety management system can be divided into multiple operation services corresponding to the crossing safety protection module, operation abnormality detection module, voice monitoring module, safety inspection module and emergency handling module.

[0117] The safety management system is used to obtain data related to the safety of logistics stations (such as monitoring image data obtained through safety monitoring equipment), monitor and inspect logistics stations, and ensure the operational safety and site safety of railway logistics stations. For example, the safety management system can obtain the crossing safety recognition model from the artificial intelligence model system to identify the image data obtained through safety monitoring equipment, thereby achieving safety monitoring; it can also associate the vehicle number, container number and monitoring time in the safety recognition results with the freight loading and unloading data collected by the loading and unloading equipment to ensure the safety of the entire transportation process.

[0118] More specifically, the safety management system may include a crossing safety protection module, an operation abnormality detection module, a voice monitoring module, a safety inspection module and an emergency handling module.

[0119] The crossing safety protection module is used to obtain the monitoring image data of the set crossing area from the data service system (or the IoT perception system), use the crossing safety recognition model (the crossing safety recognition model pre-stored in the artificial intelligence model system can be called by the business service engine of the data service system) to identify the monitoring image data of the set crossing area, and generate a crossing safety protection strategy based on the recognition result to achieve safe operation;

[0120] The operation anomaly detection module is used to obtain the operation status information corresponding to the freight production operation for which anomaly detection is scheduled from the data service system based on the operation service corresponding to the safety management system (or the operation service corresponding to the operation anomaly detection module in the safety management system), obtain the monitoring image data of the freight production operation for which anomaly detection is scheduled from the IoT sensing system during execution, use the business service engine of the data service system to call the anomaly detection model pre-stored in the artificial intelligence model system, obtain the anomaly information based on the obtained operation status information or monitoring image data, and feed back the anomaly information to the on-site personnel;

[0121] Based on the operation service corresponding to the voice monitoring module in the security management system, the monitoring voice data collected during the execution of each freight production operation is obtained from the automated production operation system through the data service system, and the business service engine of the data service system is used to call the pre-stored voice recognition model and / or semantic recognition model in the artificial intelligence model system to recognize the monitoring voice data;

[0122] Based on the operation service corresponding to the safety inspection module in the safety management system, when the automated production operation system executes each freight production operation, the safety inspection module receives the inspection instructions sent by the automated production operation system through the data service system, and uses intelligent inspection equipment (such as inspection robots) based on the inspection instructions to detect the vehicle body condition and the vehicle cargo loading condition during the execution of each freight production operation;

[0123] Based on the operation service corresponding to the emergency handling module in the safety management system, after receiving the emergency message sent by the data service system, the emergency handling module dispatches the text analysis model in the artificial intelligence model system through the business service engine of the data service system to perform text parsing and recognition on the pre-set emergency plan, generates emergency information based on the parsing results, and sends the emergency information to station-level equipment and facilities and relevant staff through the data service system.

[0124] More specifically, the safety management system can use technologies such as image intelligent analysis, mechanical automation, electrical automation and the Internet of Things to identify trains entering the crossing, pedestrians passing through the crossing, motor vehicles and non-motor vehicles, and abnormal behaviors (including crossing the track and not wearing the required clothes), realize automatic detection of trains, motor vehicles and pedestrians, and automatic lifting of guardrails, and comprehensively control the safety gate related equipment based on the recognition results to prevent accidents such as gates hitting cars and pedestrians breaking in, and alarm and emergency reminders (sound and light reminders or voice reminders, etc.) when abnormal situations are detected. At the same time, it can also provide manual remote control of the lifting bar function and statistical query of alarm conditions (specific operation data can be queried according to conditions such as the crossing and date to query the operation record and trace the history). When an emergency or other special situation occurs on site, the remote control or direct control of the safety gate equipment box can be used to directly control the lifting of the safety gate to ensure safe and orderly operation. For example, the lifting bar of the selected crossing can be manually controlled remotely, and the intruders or vehicles can be shouted to leave. For another example, when a freight production operation is completed, the staff can send voice data indicating that the operation has been completed to the administrator through a portable mobile terminal, and the administrator can obtain the text data of "the operation has been completed" through the voice recognition model of the voice monitoring module.

[0125] Taking the freight production operations with scheduled abnormality detection as cargo inspection operations and sling operations as examples, the operation abnormality detection module in the safety management system can realize the following business content based on the operation service for the safety management system: the operation abnormality detection module receives the operation status information of cargo inspection operations and sling operations in the automated production operation system, and uses the operation status information obtained by the Internet of Things sensing system and the overload and unbalanced load detection device (such as the container overload and unbalanced load detection device) to detect the overload and unbalanced load status during the operation execution process, and uses the monitoring image data obtained from the Internet of Things sensing system to detect abnormal behaviors such as personnel abnormalities and vehicle intrusions in the operation, obtains abnormal information and feeds back the abnormal information to on-site personnel (such as operators and supervisors, etc.) so that the on-site personnel can make timely adjustments.

[0126] For example, the operation abnormality detection module can dynamically determine the overload status of the lifting box during the lifting process with the help of the container overload detection device, calculate the overload status of the loading vehicle, and feedback the results to the operator or supervisor through the terminal in real time, so as to facilitate the timely adjustment of the cargo loading status during the operation. The operation abnormality detection module is also used for the loading status detection of trucks at the cargo inspection station. The objects of inspection are the railway truck body, the cargo loaded on the truck and the cargo loading reinforcement status. More than 200 items can be set for safety inspection according to "vehicle type-cargo type-inspection items". In addition, the operation abnormality module can also be used for container damage inspection to ensure the quality of the container. For example, in the process of transporting containers by train or container truck and in the process of lifting and lowering the lifting box, the pre-stored car box recognition model is used to identify the box in the monitoring image data collected by the safety monitoring equipment, and automatically identify the box number, box type, weight, dangerous goods label, lead seal and number of boxes, as well as whether the box is deformed, damaged, cracked or rusted, so as to quickly determine the damage inspection results.

[0127] The above-mentioned freight production operations for predetermined abnormality detection include cargo inspection operations and spreader operations, which are only examples, and the present invention is not limited thereto.

[0128] In order to solve the real-time situation of complex freight inspection environment, frequent production tasks and low efficiency of human operation, the safety inspection module in this application uses freight robots and inspection drones to replace freight inspectors to realize intelligent freight inspection, which can realize intelligent path planning, image recognition of problem vehicles, environmental perception and uninterrupted patrol, etc., which can ensure transportation safety, reduce personnel input, and improve inspection efficiency. Specifically, the safety inspection module can be used to use intelligent inspection equipment to detect the vehicle body condition and vehicle cargo loading condition during the execution of each freight production operation after receiving the execution command of the freight production operation plan executed by the automated production operation system.

[0129] In some embodiments of the present invention, the crossing safety recognition model may include a vehicle recognition model, and the anomaly detection model may include a personnel identification model, a personnel posture recognition model, and a foreign object recognition model;

[0130] The monitoring image data obtained by calling the pre-stored crossing safety recognition model in the artificial intelligence model system through the business service engine of the data service system includes:

[0131] The vehicle recognition model is used to identify vehicles in the image at the flat aisle, and to identify vehicles that are about to arrive at or leave the flat aisle, thereby completing the flat aisle crossing monitoring.

[0132] The business service engine of the data service system calls the anomaly detection model pre-stored in the artificial intelligence model system to obtain anomaly information based on the acquired monitoring image data, including:

[0133] Based on personnel images (for example, full-body images of personnel in lifting, handling and other work areas), the personnel identity recognition model is used to identify the personnel's clothing and determine whether the clothing meets the set clothing conditions based on the personnel's clothing;

[0134] Based on the posture and action images of personnel, the personnel posture recognition model is used to identify personnel behavior and determine whether it meets the set abnormal behavior conditions (such as identifying abnormal behaviors such as smoking in the storage area), thereby completing the identification of abnormal personnel behavior;

[0135] Based on the environmental image of the predetermined area (for example, dangerous areas such as lifting operations and the space around high-voltage lines may belong to the predetermined area), the foreign object recognition model is used to identify and determine whether there are people or vehicles entering, so as to complete the perimeter intrusion identification; the predetermined area includes key areas and operation areas.

[0136] The digital operation system in the business application sub-platform can be used to utilize logistics terminal data to assist in decision-making analysis for operational analysis and production organization optimization of logistics terminals based on freight production operations and operational management needs; the green park management system is used to manage the energy consumption of logistics terminals (specifically, it conducts dynamic monitoring and management of terminal resources with the goals of cost saving and consumption reduction and green environmental protection, meets the comprehensive management needs of personnel, vehicles, energy consumption and the environment, and realizes refined management of equipment in accordance with the concept of full life cycle management).

[0137] Specifically, the digital operation system may include an operation simulation liquidation module and a marketing analysis module. The operation simulation liquidation module may simulate the profit and loss of railway freight based on the operation service corresponding to the operation simulation liquidation module in the digital operation system, using the historical freight bill data and the carrier liquidation prediction model pre-stored in the artificial intelligence model system (dispatched by the business service engine in the data service system) to realize the pre-liquidation of the waybill and the simulated profit liquidation; the marketing analysis module may be used to monitor and count the customer tags and the cargo category tags, obtain the terminal transportation volume information, and obtain the transportation volume trend based on the transportation volume prediction model and the terminal transportation volume dispatched by the business service engine in the data service system from the artificial intelligence model system. Among them, the customer tags and the cargo category tags can be customized according to business needs, and the present invention is not specifically limited. For example, the customer tags are key customers and non-key customers, and the customers can also be divided into multiple levels of customers according to the transportation volume, and the type of goods can be used as the cargo category tag, etc. The transportation volume trend includes the terminal transportation volume analysis, the upstream transportation volume analysis of the terminal, the terminal transportation volume analysis, and the related enterprise transportation volume analysis.

[0138] As an example, the marketing analysis module can provide multi-dimensional statistical analysis by key customers, categories, etc., and conduct volume analysis based on industry information (including industry volume analysis, upstream volume analysis, downstream volume analysis, and related enterprise volume analysis), so that marketing personnel can comprehensively analyze volume trends from multiple dimensions, grasp industry dynamics in real time, and provide accurate judgments for marketing. Customer tags include company name, deadline, and company agreement volume. For customer tags, statistics can be collected on customer name, agreement volume, annual cumulative volume, planned completion ratio, planned remaining volume, average daily vehicles in the previous ten days, and number of vehicles on the day; for cargo category tags, category name and deadline can be queried, and statistics on category name, previous ten days' shipment volume, previous ten days' revenue, ten-day average ton revenue rate, and daily ton revenue rate can be displayed.

[0139] The marketing analysis module allows marketing personnel and marketing management personnel to have a comprehensive and objective grasp of the overall information of customers. Therefore, customers can be managed by file creation, classified according to dimensions such as core customers, major customers, general customers and dishonest customers, so that marketing personnel can view the basic and dynamic information of customers through the system; and marketing personnel and their account permissions can be managed uniformly by education, age and years of work. In addition, marketing assessment and evaluation can be set up in the marketing analysis module, and marketing personnel can be comprehensively assessed and evaluated (including new performance assessment and work assessment, etc.).

[0140] Furthermore, the green campus management system in the business application sub-platform includes an equipment management module, an energy consumption management module, a human and vehicle management module, and a green resource management module. The equipment management module is used to obtain equipment operation status data from the data service system, and based on the pre-built equipment history and equipment operation status data, use the equipment fault diagnosis and prediction model scheduled by the business service engine to evaluate the health status of equipment in the equipment facilities; the energy consumption management module is used to obtain energy consumption monitoring data from the data service system, and perform campus energy consumption statistics and energy consumption warnings based on the energy consumption monitoring data; the human and vehicle management module is used to obtain user vehicle entry and exit information from the passing vehicle information in the intelligent logistics service system, and perform human and vehicle statistics and management based on the user vehicle entry and exit information (including entry and exit vehicle information and entry and exit personnel information); the green resource management module is used to calculate and predict carbon emissions based on energy consumption monitoring data, and to count green energy generation (mainly photovoltaic power generation).

[0141] Similar to the intelligent logistics service system and security management system, the operation services corresponding to the green park management system and the operation services corresponding to the digital operation system are also associated with various modules in the system.

[0142] As an example, the electronic resume of various types of equipment in railway freight stations is to electronically manage static information such as basic equipment information and technical specifications, and then connect business dynamic information such as equipment inspection, maintenance, failure and operation on this basis, so as to realize the refined and digital management of the whole life cycle of station equipment. In order to provide technical support for the operation status and operation safety of equipment, the equipment operation status data of each equipment in the equipment facilities can be automatically collected through the IoT collection device (including the operation status, operation status, alarm status, online status, data collection status and other information of the IoT equipment in the station). The equipment management module can establish the equipment health evaluation index system and fault diagnosis and prediction model in advance by analyzing relevant historical data such as equipment fault handling and equipment technical status, and objectively evaluate the current health status of the equipment based on the real-time equipment operation status data, so as to conduct multi-dimensional portrait analysis of the equipment and provide auxiliary decision-making basis for equipment risk identification and intelligent maintenance. After the equipment management module obtains the health status of the equipment, it can provide operation and maintenance work order management, operation and maintenance report self-inspection, report statistics and other functions based on the equipment maintenance plan. The equipment management module can also have the functions of daily equipment operation and maintenance management and spare parts management. For the daily operation and maintenance management of equipment, it can provide process management and maintenance for the event information of the overhaul, technical transformation, maintenance, inspection, failure, sealing, scrapping and annual inspection of special equipment of the station equipment, support intelligent prediction and quick submission of overhaul, intelligent scheduling of maintenance plan and convenient recording of implementation, input of on-site inspection situation anytime and anywhere and automatic generation of paper documents, etc. For the function of spare parts management, it can pre-establish the main spare parts resource library of the station equipment, and manage the specifications, models, manufacturers, affiliated equipment, inventory location, inventory quantity, in and out records, use and replacement records of various spare parts in an electronic ledger, support the traceability of the origin and development of spare parts, support the generation of statistical reports on spare parts ledgers, in and out records, and use and replacement, and can give early warning prompts when the inventory is lower than or higher than the custom threshold.

[0143] The green resource management module can realize carbon emission accounting and prediction and clean energy application management, realize energy-saving optimization of station operations, and achieve green environmental protection and energy saving and consumption reduction in the park. For example, it can remotely monitor power generation and power consumption, provide abnormal reminder function, and provide green energy generation statistics function.

[0144] As an example, the automated production operation system is mainly used for automatic production coordination, including automated coordination of in-and-out gate inspection equipment, coordination of loading and unloading operations (such as IGV docking and transfer and intelligent forklifts, etc.), digital coordination of spreaders during container operations (such as remote gantry cranes), production scheduling and command coordination (including intelligent receiving and dispatching vehicles, etc.), digital yard operation coordination and intelligent freight inspection and other business applications; that is, freight production operations may include freight inspection operations, gate inspection and passage operations, receiving and dispatching vehicle operations, spreader operations, yard operations, forklift operations and docking and transfer operations, etc.;

[0145] The intelligent logistics service system mainly covers business applications such as appointment service, intelligent guidance, information service, intelligent warehousing, logistics distribution, intelligent pallet, logistics financial service, customs declaration agency, logistics management, vehicle auxiliary service, life auxiliary service and office supporting service;

[0146] The safety management system includes business applications such as AI video surveillance, operation safety protection (such as container overload detection, personnel safety protection and automatic protection signal device), park safety protection (such as automated crossing protection and perimeter protection), intelligent safety inspection and emergency response (such as fire alarm);

[0147] The green campus management system mainly includes business applications such as equipment asset management, energy consumption management (which may include intelligent lighting and personnel and vehicle management), environmental monitoring management, and green energy management. Among them, equipment management includes equipment digital history, equipment status monitoring, equipment maintenance, equipment fault repair, spare parts management, PHM health management, etc.; and

[0148] The digital operation system includes business applications such as marketing analysis management, business simulation liquidation, logistics service analysis, production efficiency analysis, safety risk analysis and multi-dimensional management analysis.

[0149] The above-mentioned business application sub-platform and logistics terminal management and display system can also be deployed at the railway bureau level.

[0150] The railway digital logistics station platform proposed in this application can be applied to the web and App sides. The App side can realize functions such as issuing work plans, monitoring work execution status, voice intercom, personnel positioning, message notification, and collecting cargo inspection images, loading and unloading operation images, and faulty equipment images.

[0151] In a specific implementation of the present invention, in the scenario of truck loading status detection, the cargo inspection business process configured by the cargo inspection business service engine in the data service system can be utilized to guide the intelligent freight inspection application in the automated production operation system through the business scheduling engine service based on the cargo inspection business process.

[0152] like Figure 5As shown in the figure, the cargo inspection business service engine includes the cargo inspection scheduling engine, workflow engine, rule engine and cargo inspection business service. Among them, the business service can complete different operations and information services according to different businesses; the rule engine is used to schedule different business services through the cargo inspection scheduling engine according to different train types. For example, the rule engine can perform different alarms according to the identification points in different identification services; the cargo inspection workflow engine is used to configure the corresponding workflow according to the business process of different cargo inspection models.

[0153] like Figure 6 As shown, the cargo inspection business process is mainly divided into arrival operations and departure operations, both of which include issuing plans, inspection operations, sorting and transportation approval, and completion of operations.

[0154] More specifically, during the planning phase of the freight control platform, the terminal cargo inspectors (or cargo inspection attendants on duty) allocate video surveillance and review personnel schedules through on-site mobile applications.

[0155] The inspection process can be divided into machine inspection and manual inspection. Machine inspection cargo inspectors obtain information about problem vehicles by viewing surveillance videos, and receive safety protection tips through manual on-site operations such as manual re-inspection, on-site handover, and in-train sorting by field cargo inspectors during the manual inspection phase. Among them, problem vehicle information includes intelligent identification of problem vehicle alarms, multi-system vehicle number comparison, and overload warning (need to increase comparison with transportation tickets).

[0156] The sorting and transport approval process can be divided into three steps: car dumping, on-train sorting, and transport approval. The cargo inspector will lead the car dumping process, and the field cargo inspector will perform on-train sorting and transport approval. For trains that endanger driving safety and cannot be sorted on the train, the need for car dumping is proposed, and car dumping can also be carried out on trains with serious overloading and unbalanced loads (glass, steel coils, and vehicles loaded within the bureau will be detained as serious overloading). In the train sorting stage, for mobile applications, the information is sorted by breaking and resealing, etc., and it is entered and photographed. For those without mobile applications, the information is recorded manually, and the results are entered into the system after the operation is completed. In the transport approval stage, electronic approval for dangerous goods, overload electronic approval, or escort electronic approval is implemented for mobile applications. For those without mobile applications, paper approval is implemented and the system is supplemented.

[0157] In the operation completion phase, first monitor the cargo inspector's operation process and provide timely feedback on the operation progress. After the cargo inspection duty officer verifies that the on-site operation is correct, confirm that the operation is completed and report to the station dispatcher or station duty officer that the cargo inspection operation is completed. After the cargo inspection duty officer confirms that the operation is completed, it is necessary to send a network telegram to the previous cargo inspection station, the destination station and relevant departments in accordance with regulations, and it is also necessary to compile general records in accordance with the regulations of the "Management Regulations" and other regulations and documents, if necessary.

[0158] In addition, the completion of the operation also includes data transmission. For example, the station duty officer will feedback the completion time of the cargo inspection operation, the correct train formation information (including problem cars, etc.) and the abandoned car processing information to the station system, and the station system will transmit the information to the current car system through the management and control platform; the station cargo inspection duty officer will enter the sorting car information as the key information of the next cargo inspection station, and push the abandoned car processing information to the freight station system.

[0159] The railway digital logistics terminal platform proposed in this application promotes multimodal transport between railways and external enterprises such as water transport, highways, aviation, logistics companies and production companies, adopts advanced technologies such as 5G, Internet of Things, big data and artificial intelligence, and accelerates the digitalization, networking, efficiency and low-carbon operation of all factors and processes such as people, goods, vehicles and terminals. With "digitalization + low carbonization" as the engine, it will build a railway digital logistics terminal with "full data integration, full visibility of status, full management of business, and full control of events", which has very important practical significance for providing support for the terminal in freight production operations, safety management, operation analysis, park management and management decision-making.

[0160] The embodiment of the present invention also provides a computer-readable storage medium on which a computer program / instruction is stored, and when the computer program / instruction is executed by a processor, the steps of the aforementioned edge computing server deployment method are implemented. The computer-readable storage medium can be a tangible storage medium, such as a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a floppy disk, a hard disk, a removable storage disk, a CD-ROM, or any other form of storage medium known in the technical field.

[0161] It should be understood by those skilled in the art that the exemplary components, systems and methods described in conjunction with the embodiments disclosed herein can be implemented in hardware, software or a combination of the two. Whether it is performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention. When implemented in hardware, it can be, for example, an electronic circuit, an application-specific integrated circuit (ASIC), appropriate firmware, a plug-in, a function card, etc. When implemented in software, the elements of the present invention are programs or code segments used to perform the required tasks. The program or code segment can be stored in a machine-readable medium, or transmitted on a transmission medium or a communication link via a data signal carried in a carrier.

[0162] It should be clear that the present invention is not limited to the specific configuration and processing described above and shown in the figures. For the sake of simplicity, a detailed description of the known method is omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of the present invention is not limited to the specific steps described and shown, and those skilled in the art can make various changes, modifications and additions, or change the order between the steps after understanding the spirit of the present invention.

[0163] In the present invention, features described and / or illustrated for one embodiment may be used in the same or similar manner in one or more other embodiments, and / or combined with features of other embodiments or replace features of other embodiments.

[0164] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the embodiments of the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A railway digital logistics terminal platform, characterized in that: The platform includes a digital intelligence sub-platform and a business application sub-platform; wherein the digital intelligence sub-platform includes an IoT perception system, a data service system and an artificial intelligence model system, and the business application sub-platform includes an automated production operation system, an intelligent logistics service system, a safety management system, a green park management system and a digital intelligence operation system; The IoT sensing system is used to sense station-level equipment and facilities using sensing devices to obtain logistics station data, and transmit the logistics station data to a data service system; wherein the station-level equipment and facilities include loading and unloading equipment, safety monitoring equipment, and station guidance and energy monitoring equipment; The data service system is used to generate operation services corresponding to each system in the business application sub-platform based on the received logistics station data, the freight operation plan from the external freight control and service platform and the pre-set business service engine, and transmit them to the business application sub-platform; wherein the business service engine is generated based on the pre-set freight operation process corresponding to each system in the business application sub-platform and the freight operation plan template obtained from the freight control and service platform; the operation service includes an operation process, an operation strategy, an operation plan or an operation instruction, and the operation instruction includes a set time or event, and a trigger event; The artificial intelligence model system is used to store and manage multiple artificial intelligence models; wherein the artificial intelligence models in the artificial intelligence model system include at least a crossing safety identification model and an anomaly detection model; The automated production operation system is used to execute corresponding freight production operations through the operation service and business service engine corresponding to the automated production operation system, and send the operation status information collected when each freight production operation is executed to the data service system; wherein the operation service corresponding to the automated production operation system is associated with each freight production operation; the freight production operation includes a predetermined guided freight production operation and a predetermined abnormality detected freight production operation; The intelligent logistics service system is used to receive cargo entry and exit requests and cargo entry and exit requests from the freight control and service platform through the data service system, generate reservation status information and fill in the pass reservation information based on the entry and exit requests, perform cargo entry and exit management and generate warehouse statistical information based on the pre-set entry and exit operation process of the cargo entry and exit requests, and send the reservation status information and warehouse statistical information to the data service system respectively; the intelligent logistics service system is also used to obtain the monitoring image data of the scheduled guided freight production operation from the data service system based on the operation service corresponding to the intelligent logistics service system when the scheduled guided freight production operation is executed, determine the passing vehicle information based on the obtained monitoring image data, and determine the driving path of the corresponding vehicle based on the passing vehicle information, the pre-filled passage reservation information and the terminal vehicle operation plan from the data service system, so as to provide vehicle entry and exit guidance services; The safety management system includes a crossing safety protection module, an operation anomaly detection module and a safety inspection module; the crossing safety protection module is used to obtain monitoring image data of the crossing area from the Internet of Things perception system, and input the monitoring image data into the crossing safety identification model called by the business service engine of the data service system, output the crossing safety identification result, and generate a crossing safety protection strategy based on the identification result; the operation anomaly detection module is used to obtain the operation status information corresponding to the freight production operation of the predetermined anomaly detection from the data service system based on the operation service corresponding to the safety management system, obtain the monitoring image data of the freight production operation of the predetermined anomaly detection from the Internet of Things perception system when it is executed, use the business service engine of the data service system to call the anomaly detection model in the artificial intelligence model system, obtain the anomaly information according to the obtained operation status information or monitoring image data, and feed back the anomaly information to the on-site personnel; when the automated production operation system executes each production operation, the safety inspection module receives the inspection instruction sent by the automated production operation system through the data service system, and uses the intelligent inspection equipment to detect the vehicle body condition and the cargo loading condition of the vehicle during the execution of each production operation based on the inspection instruction; The green park management system includes an energy consumption management module and a human-vehicle management module. The energy consumption management module is used to obtain energy consumption monitoring data through the data service system, and perform park energy consumption statistics and energy consumption warning according to the energy consumption monitoring data; the human-vehicle management module is used to obtain user vehicle entry and exit information in the passing vehicle information from the intelligent logistics service system, and perform human-vehicle statistics and management according to the user vehicle entry and exit information; The digital operation system includes an operation simulation and settlement module, which is used to simulate the profit and loss situation of railway freight based on the operation service corresponding to the digital operation system, using the historical freight bill data and the carrier settlement prediction model of the digital operation system, to realize the pre-settlement of waybills and simulated profit settlement.

2. The platform according to claim 1, characterized in that The logistics station data also includes equipment operation status data of each equipment in the equipment facilities; The intelligent logistics service system also includes an information service module and a customs declaration agent module, wherein the information service module is used to obtain railway logistics information released by the data service system; The customs declaration agent module extracts customs declaration information from the freight documents or multimodal transport logistics data identified by the IoT sensing system, automatically selects the customs declaration area based on the customs declaration information and fills in the customs declaration form, sends the filled-in customs declaration form to the corresponding department through the data service system, and receives customs declaration progress information from the corresponding department; The safety management system also includes a voice monitoring module and an emergency processing module. The voice monitoring module is used to obtain monitoring voice data collected during the execution of each production operation from the automated production operation system through the data service system, and use the business service engine of the data service system to call the pre-stored voice recognition model and / or semantic recognition model in the artificial intelligence model system to identify the monitoring voice data; after receiving the emergency message sent by the data service system, the emergency processing module dispatches the text analysis model in the artificial intelligence model system through the business service engine of the data service system to perform text analysis and recognition on the pre-set emergency plan, generates emergency information based on the analysis results, and sends the emergency information to the station-level equipment and facilities and related staff through the data service system; The green park management system also includes an equipment management module and a green resource management module. The equipment management module is used to obtain the equipment operation status data in real time through the data service system, and based on the pre-built equipment history and the equipment operation status data, use the pre-stored equipment fault diagnosis and prediction model to evaluate the health status of the equipment in the equipment facilities; the green resource management module is used to calculate and predict carbon emissions based on the energy consumption monitoring data, and to count the amount of green energy generated; The digital operation system also includes an operation simulation and settlement module, which is used to monitor and count customer labels and cargo category labels, obtain terminal transportation volume information, and obtain transportation volume trends based on pre-stored transportation volume prediction models and the terminal transportation volume.

3. The platform according to claim 1, characterized in that: The crossing safety recognition model includes a vehicle recognition model, and the anomaly detection model includes a personnel identity recognition model, a personnel posture recognition model, and a foreign object recognition model; The monitoring image data obtained by calling the pre-stored crossing safety recognition model in the artificial intelligence model system through the business service engine of the data service system includes: The vehicle recognition model is used to identify vehicles in the image at the flat aisle, and to identify vehicles that are about to arrive at or leave the flat aisle, thereby completing the flat aisle crossing monitoring; The business service engine of the data service system calls the anomaly detection model pre-stored in the artificial intelligence model system to obtain anomaly information based on the acquired monitoring image data, including: Based on the person's image, the person's clothing is identified using the person's identity recognition model, and whether the person's clothing meets the set clothing conditions is determined based on the person's clothing; Based on the posture and action images of personnel, the personnel posture recognition model is used to identify personnel behavior and determine whether it meets the set abnormal behavior conditions, thereby completing the identification of abnormal personnel behavior; Based on the environmental image of the predetermined area, a foreign object recognition model is used to identify and judge whether there is a person or vehicle entering, so as to complete the perimeter intrusion recognition; wherein the predetermined area includes key areas and operation areas.

4. The platform according to claim 1, characterized in that: The digital intelligence sub-platform also includes a digital twin system, which is used to obtain the logistics station data from the data service system, and use the digital twin technology and the obtained logistics station data to build a three-dimensional spatial model of the logistics station; it is also used to use the pre-stored time series prediction model and the logistics station data to make predictions to obtain the logistics station data in the future time period; and it is also used to use the pre-stored decision tree model and the logistics station data obtained in the future time period to generate a deployment and operation strategy for each device in the equipment facility; The platform also includes a logistics station management and display system, which includes a situation monitoring unit, a twin station unit and a command and dispatch unit; wherein the situation monitoring unit is used to visually display the logistics station data obtained by real-time monitoring and the logistics station data in the future time period, the twin station unit is used to associate the three-dimensional spatial model of the logistics station with the real-time attribute information of the physical object to realize the visual display of the logistics station, and the command and dispatch unit is used to visually display the command and dispatch strategy.

5. The platform according to claim 2, characterized in that: The data types of the multimodal transport logistics data include multiple types of the following types: port logistics data, customs clearance data, aviation logistics data and road logistics data; the passage reservation information includes the type of transported goods and transport vehicle information; The multimodal transport logistics data is obtained in the following ways: The data service system located in the data server of the railway bureau-level logistics terminal platform obtains the multimodal logistics data of the external system from the Internet through the database server cluster of the freight control and service platform in the internal service network of the China Railway Corporation and the external service network equipment of the China Railway Corporation, and transmits it to the intelligent logistics service system.

6. The platform according to claim 1, characterized in that: The loading and unloading equipment includes one or more of gantry cranes, reach stackers, forklifts, pallets, stackers and conveyors; the safety monitoring equipment includes one or more of video monitoring equipment, crossing protection equipment, protection signal equipment, overload and unbalanced load detection equipment, fire monitoring equipment and inspection equipment; The method of using sensing equipment to sense station-level equipment and facilities to obtain logistics station data includes: Sensing equipment is used to sense the monitoring data of each device in the station-level equipment facilities, and the data is collected through the data transmission network to form logistics station data; wherein the data transmission network includes one or more of a wired network, a mobile Internet private network and the Internet of Things; wherein the Internet of Things supports RS232 / 485 / 432, RJ45 and 4G / 5G communication interfaces, and supports Modbus, TCP / IP, MQTT, OPC, HTTP and B-IOT communication protocols.

7. The platform according to claim 1, characterized in that The predetermined guided freight production operation includes a gate inspection and passage operation; the predetermined abnormality detection freight production operation includes a freight inspection operation and a sling operation; The intelligent logistics service system includes a traffic reservation module, an intelligent guidance module and a warehouse management module. The traffic reservation module is used to receive a cargo entry and exit request sent by a requesting party based on a freight control and service platform through a data service system, and generate reservation status information after accepting or rejecting the cargo entry and exit request, and send the reservation status information to the requesting party through the data service system; when the gate inspection and passage operation is executed, the intelligent guidance module obtains the monitoring image data when the gate inspection and passage operation is executed through the data service system, determines the passing vehicle information according to the obtained monitoring image data, and determines the driving path of the corresponding vehicle based on the passing vehicle information, the pre-filled traffic reservation information and the terminal vehicle operation plan from the data service system, so as to provide vehicle entry and exit guidance services; The warehouse management module is used to receive the goods in and out of the warehouse request sent by the requester based on the freight control and service platform through the data service system, record the status data of the goods in and out of the warehouse operation according to the goods in and out of the warehouse request and the pre-set in and out of the warehouse operation process, generate warehouse statistical information, and feed back the warehouse statistical information to the data service system in real time.

8. The platform according to claim 7, characterized in that Determining the passing vehicle information according to the acquired monitoring image data includes: The business service engine of the data service system calls the vehicle identification model pre-stored in the artificial intelligence model system to identify the vehicle number and container number during the execution of the set guided production operation.

9. The platform according to claim 1, characterized in that The data service system includes a resource directory service, a data authority service, a data search engine and a business service engine; wherein the data authority service is used to authenticate the data requester and determine the type of data to be transmitted based on the authority of the data requester; The data service system is also used to receive operation status information collected when each production operation is executed from the automated production operation system, and transmit the operation status information to the freight control and service platform.

10. A computer-readable storage medium having a computer program / instruction stored thereon, characterized in that: When the computer program / instructions are executed by a processor, the platform according to any one of claims 1 to 9 is implemented.

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