Railway freight station intelligent door inspection data integration and comprehensive evaluation method and device

Abstract

The invention provides a railway freight station intelligent door inspection data integration and comprehensive evaluation method and system and an Internet of Things device. The railway freight station intelligent door inspection data integration and comprehensive evaluation method comprises the steps of determining a deployment mode of the Internet of Things device; acquiring at least one of vehicle number data, box number data and truck scale data based on the determined deployment mode; respectively executing a first group of door inspection operations, a second group of door inspection operations and a third group of door inspection operations on the basis of the acquired vehicle number data, box number data and truck scale data; under the condition that all the department inspection operations pass successfully, the entry door inspection data are associated and bound to the current vehicle; executing at least one second validity verification based on at least one of the acquired vehicle number data, box number data and truck scale data; under the condition that the second validity check is successfully passed for the first time, the current vehicle is allowed to enter the parking lot; and generating a door check list to enable the current vehicle to execute the operation content.

Description

Technical Field

[0001] The present invention relates to the field of railway freight transportation, and particularly to an intelligent gate inspection data integration and comprehensive evaluation method, system and Internet of Things device for railway freight yards. Background Art

[0002] With the rapid development of railway freight transportation business, the transportation and warehousing operations in freight yards are increasing day by day, and the problems of safety inspection and passing efficiency in the operation process of container dedicated transport vehicles (or called container trucks) entering and leaving the yard are becoming increasingly prominent. Gate inspection devices such as container truck number recognition devices, container number recognition devices, and truck scale weight detection devices play an important role in ensuring the safe operation of operating vehicles entering and leaving the yard.

[0003] However, there are many problems in the prior art, including but not limited to the following: 1) There are compatibility problems with gate inspection devices and it is difficult to integrate and apply them: Gate inspection devices of different manufacturers and different models use different communication protocols and data formats, and the current situation of a large number, complex types, and inconsistent output results leads to great difficulty and time-consuming and laborious in the informatization integration of gate inspection devices; 2) Existing gate inspection devices do not have the condition of being connected to the network: A large number of existing gate inspection devices in the yard do not have wireless access modules, and the cost of replacing all devices is huge. And wired access requires separate construction of network channels, and the cost of device networking is relatively high; 3) Gate inspection devices have single functions and information islands exist: The vehicle number recognition device in the yard only obtains the container truck number information, the container number recognition device only obtains the container number information, and the truck scale detection device only obtains the weighing weight. However, these information are not interactively shared and comprehensively applied, seriously affecting the coordination and efficiency of gate inspection operations; 4) The gate inspection system and process in the yard are imperfect: There is a lack of unified and clear gate inspection standards in freight yards, resulting in uneven inspection levels in different yards. At the same time, the cumbersome inspection process affects the gate inspection efficiency and increases the time cost of goods transportation; 5) The degree of intelligence of gate inspection devices and technologies is not high: At present, gate inspection devices still rely on manual operations for logical association of information such as container truck numbers, container numbers, and weighing weights, as well as over-limit and overweight detection, and the level of automation and intelligence is relatively low.

[0004] Based on this, it can be seen that although traditional yard gate inspection devices have realized the respective recognition or detection of vehicle numbers, container numbers, and weighing weights, the above-mentioned many business information collected by gate inspection devices in different yards still requires full-time gate inspection personnel to manually associate and operate, and it is difficult to realize the intelligent processing of the gate inspection operation process. Summary of the Invention

[0005] The present invention provides an intelligent gate inspection data integration and comprehensive evaluation method, system and Internet of Things device for railway freight yards. Relying on the intelligent gate inspection data integration and comprehensive evaluation system for railway freight yards, using the intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards, and based on the Internet of Things device, it aims to solve at least the technical problems that the gate inspection equipment has compatibility problems and is difficult to integrate and apply, the functions of the gate inspection equipment are single and there are information islands, the gate inspection systems and processes in the freight yard are not perfect enough, and the intelligence level of the gate inspection equipment and technology is not high. It realizes the data interaction between the gate inspection system and many gate inspection equipment, improves the Internet of Things perception data acquisition system of the freight yard, enhances the data access and sharing ability of all elements of the yard equipment, and will play an important role in promoting the intelligent development of railway freight yards.

[0006] Specifically, the embodiments of the present invention provide the following technical solutions: In a first aspect, an embodiment of the present invention provides an intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards, including: S1, determining the deployment mode of the Internet of Things device; S2, based on the determined deployment mode, obtaining at least one of the vehicle number data, container number data, and truck scale data in the inbound gate inspection data; S3, based on at least one of the obtained vehicle number data, container number data, and truck scale data, respectively performing a first set of gate inspection operations corresponding to the vehicle number data, a second set of gate inspection operations corresponding to the container number data, and a third set of gate inspection operations corresponding to the truck scale data. Among them, the first set of gate inspection operations includes at least one of data parsing, first validity verification, and logical determination, the second set of gate inspection operations includes at least one of data parsing, first validity verification, and logical determination, and the third set of gate inspection operations includes at least one of data parsing, first validity verification, and logical determination; S4, when all the first set of gate inspection operations, the second set of gate inspection operations, and the third set of gate inspection operations are successfully passed, associating and binding the inbound gate inspection data corresponding to the deployment mode to the current vehicle; S5, based on at least one of the obtained vehicle number data, container number data, and truck scale data, performing at least one second validity verification, where S5 is performed before or after performing S4; S6, when the second validity verification is successfully passed for the first time, allowing the current vehicle to enter the yard; and S7, when all the second validity verifications are successfully passed, generating a gate inspection list so that the current vehicle performs the operation content included in the gate inspection list.

[0007] Further, the intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards further includes: The deployment modes include a full integration mode, at least one partial integration mode, and an independent mode.

[0008] Furthermore, the intelligent gate inspection data integration and comprehensive evaluation method for the railway freight yard also includes: The at least one partial integration mode includes a first partial integration mode, a second partial integration mode, and a third partial integration mode.

[0009] Furthermore, the intelligent gate inspection data integration and comprehensive evaluation method for the railway freight yard also includes: S2 further includes: when the IoT device is in the full integration mode, synchronously obtaining the vehicle number data, container number data, and truck scale data among the inbound gate inspection data.

[0010] Furthermore, the intelligent gate inspection data integration and comprehensive evaluation method for the railway freight yard also includes: S2 further includes: when the IoT device is in the first partial integration mode, obtaining the vehicle number data among the inbound gate inspection data, and then obtaining the container number data and truck scale data among the inbound gate inspection data.

[0011] Furthermore, the intelligent gate inspection data integration and comprehensive evaluation method for the railway freight yard also includes: S2 further includes: when the IoT device is in the second partial integration mode, obtaining the vehicle number data and container number data among the inbound gate inspection data, and then obtaining the truck scale data among the inbound gate inspection data.

[0012] Furthermore, the intelligent gate inspection data integration and comprehensive evaluation method for the railway freight yard also includes: S2 further includes: when the IoT device is in the third partial integration mode, obtaining the vehicle number data and truck scale data among the inbound gate inspection data, and then obtaining the container number data among the inbound gate inspection data.

[0013] Furthermore, the intelligent gate inspection data integration and comprehensive evaluation method for the railway freight yard also includes: S2 further includes: when the IoT device is in the independent mode, obtaining the vehicle number data among the inbound gate inspection data, then obtaining any one of the container number data or truck scale data among the inbound gate inspection data, and then obtaining the other one of the container number data or truck scale data that has not been obtained among the inbound gate inspection data.

[0014] Furthermore, the intelligent gate inspection data integration and comprehensive evaluation method for the railway freight yard also includes: The obtained ones are set with different or the same waiting time thresholds.

[0015] Further, the intelligent gate inspection data integration and comprehensive evaluation method for the railway freight yard also includes: The first set of gate inspection operations, the second set of gate inspection operations, and the third set of gate inspection operations have an error handling mechanism.

[0016] Further, the intelligent gate inspection data integration and comprehensive evaluation method for the railway freight yard also includes: The error handling mechanism includes: in the case where at least one of the first set of gate inspection operations, the second set of gate inspection operations, and the third set of gate inspection operations fails to pass successfully, returning to re - execute S2, where the failure to pass successfully includes at least one of the data parsing, the first validity check, and the logical determination performed on the inbound gate inspection data failing to pass successfully.

[0017] Further, the intelligent gate inspection data integration and comprehensive evaluation method for the railway freight yard also includes: In the case where at least one of the first set of gate inspection operations, the second set of gate inspection operations, and the third set of gate inspection operations fails to pass successfully, returning to re - execute S2 includes: In the case of the fully integrated mode, resynchronously obtaining at least one of the car number data corresponding to the first set of gate inspection operations that fails to pass successfully, the container number data corresponding to the second set of gate inspection operations that fails to pass successfully, and the truck scale data corresponding to the third set of gate inspection operations that fails to pass successfully.

[0018] Further, the intelligent gate inspection data integration and comprehensive evaluation method for the railway freight yard also includes: In the case where at least one of the first set of gate inspection operations, the second set of gate inspection operations, and the third set of gate inspection operations fails to pass successfully, returning to re - execute S2 includes: In the case of the first - part integrated mode, If only one of the first set of gate inspection operations, the second set of gate inspection operations, and the third set of gate inspection operations fails to pass the gate inspection operation, re - obtain the car number data and the container number data corresponding to the gate inspection operation that fails to pass; If the first set of gate inspection operations and the second set of gate inspection operations fail to pass, re - obtain the car number data corresponding to the first set of gate inspection operations, and then re - obtain the container number data corresponding to the second set of gate inspection operations; If the first set of gate inspection operations and the third set of gate inspection operations fail to pass, re - obtain the car number data corresponding to the first set of gate inspection operations, and then re - obtain the truck scale data corresponding to the third set of gate inspection operations; If the second group of gate inspection operations and the third group of gate inspection operations do not pass successfully, re-obtain the container number data corresponding to the second group of gate inspection operations and the weighbridge data corresponding to the third group of gate inspection operations; If the first group of gate inspection operations, the second group of gate inspection operations, and the third group of gate inspection operations all do not pass successfully, re-obtain the vehicle number data corresponding to the first group of gate inspection operations, and then re-obtain the container number data corresponding to the second group of gate inspection operations and the weighbridge data corresponding to the third group of gate inspection operations.

[0019] Furthermore, the intelligent gate inspection data integration and comprehensive evaluation method for the railway freight yard also includes: In the case where at least one of the first group of gate inspection operations, the second group of gate inspection operations, and the third group of gate inspection operations does not pass successfully, returning to re-execute S2 includes: In the case of the second part integration mode, If only one of the first group of gate inspection operations, the second group of gate inspection operations, and the third group of gate inspection operations fails to pass the gate inspection operation, re-obtain the vehicle number data corresponding to the gate inspection operation that fails to pass; If the first group of gate inspection operations and the second group of gate inspection operations fail to pass the gate inspection operation, re-obtain the vehicle number data corresponding to the first group of gate inspection operations and the container number data corresponding to the second group of gate inspection operations; If the second group of gate inspection operations and the third group of gate inspection operations fail to pass the gate inspection operation, re-obtain the container number data corresponding to the second group of gate inspection operations, and then re-obtain the weighbridge data corresponding to the third group of gate inspection operations; If the first group of gate inspection operations and the third group of gate inspection operations fail to pass the gate inspection operation, re-obtain the vehicle number data corresponding to the first group of gate inspection operations, and then re-obtain the weighbridge data corresponding to the third group of gate inspection operations; If the first group of gate inspection operations, the second group of gate inspection operations, and the third group of gate inspection operations all fail to pass, re-obtain the vehicle number data corresponding to the first group of gate inspection operations, the container number data corresponding to the second group of gate inspection operations, and then re-obtain the weighbridge data corresponding to the third group of gate inspection operations.

[0020] Furthermore, the intelligent gate inspection data integration and comprehensive evaluation method for the railway freight yard also includes: In the case where at least one of the first group of gate inspection operations, the second group of gate inspection operations, and the third group of gate inspection operations does not pass successfully, returning to re-execute S2 includes: In the case of the third part integration mode, If only one of the first group of gate inspection operations, the second group of gate inspection operations, and the third group of gate inspection operations fails to pass the gate inspection operation successfully, re-obtain the vehicle number data and the weighbridge data corresponding to the gate inspection operation that fails to pass successfully; If the first group of gate inspection operations and the second group of gate inspection operations fail to pass the gate inspection operation successfully, re-obtain the vehicle number data corresponding to the first group of gate inspection operations, and then re-obtain the container number data corresponding to the second group of gate inspection operations; If the first group of gate inspection operations and the third group of gate inspection operations fail to pass the gate inspection operation successfully, re-obtain the vehicle number data corresponding to the first group of gate inspection operations and the weighbridge data corresponding to the third group of gate inspection operations; If the second group of gate inspection operations and the third group of gate inspection operations fail to pass the gate inspection operation successfully, re-obtain the weighbridge data corresponding to the third group of gate inspection operations, and then re-obtain the container number data corresponding to the second group of gate inspection operations; If all of the first group of gate inspection operations, the second group of gate inspection operations, and the third group of gate inspection operations fail to pass successfully, re-obtain the vehicle number data corresponding to the first group of gate inspection operations and the weighbridge data corresponding to the third group of gate inspection operations, and then re-obtain the container number data corresponding to the second group of gate inspection operations.

[0021] Furthermore, the intelligent gate inspection data integration and comprehensive evaluation method for the railway freight yard also includes: In the case where at least one of the first group of gate inspection operations, the second group of gate inspection operations, and the third group of gate inspection operations fails to pass successfully, return to re-execute S2, including: In the case of the independent mode, If only one of the first group of gate inspection operations, the second group of gate inspection operations, and the third group of gate inspection operations fails to pass the gate inspection operation successfully, re-obtain the vehicle number data corresponding to the gate inspection operation that fails to pass successfully; If the first group of gate inspection operations and the second group of gate inspection operations fail to pass the gate inspection operation successfully, re-obtain the vehicle number data corresponding to the first group of gate inspection operations, and then re-obtain the container number data corresponding to the second group of gate inspection operations; If the first group of gate inspection operations and the third group of gate inspection operations fail to pass the gate inspection operation successfully, re-obtain the vehicle number data corresponding to the first group of gate inspection operations, and then re-obtain the weighbridge data corresponding to the third group of gate inspection operations; If the second group of gate inspection operations and the third group of gate inspection operations do not successfully pass the gate inspection operations, re-obtain the weighbridge data corresponding to the third group of gate inspection operations, and then re-obtain the container number data corresponding to the second group of gate inspection operations, or, re-obtain the container number data corresponding to the second group of gate inspection operations in sequence, and then re-obtain the weighbridge data corresponding to the third group of gate inspection operations; If the first group of gate inspection operations, the second group of gate inspection operations, and the third group of gate inspection operations all do not successfully pass, re-obtain the vehicle number data corresponding to the first group of gate inspection operations, then re-obtain the container number data corresponding to the second group of gate inspection operations, and then re-obtain the weighbridge data corresponding to the third group of gate inspection operations, or, re-obtain the vehicle number data corresponding to the first group of gate inspection operations, then re-obtain the weighbridge data corresponding to the third group of gate inspection operations, and then re-obtain the container number data corresponding to the second group of gate inspection operations.

[0022] Furthermore, the intelligent gate inspection data integration and comprehensive evaluation method for the railway freight yard also includes: In the full integrated mode, perform a second validity check on the vehicle number data, the container number data, and the weighbridge data; In the at least one partial integrated mode or the independent mode, perform a second validity check on the vehicle number data, and then perform a second validity check on the container number data or the weighbridge data.

[0023] Furthermore, the intelligent gate inspection data integration and comprehensive evaluation method for the railway freight yard also includes: The S7 further includes: The gate inspection list includes an electronic weighbridge form and an operation content form.

[0024] Furthermore, the intelligent gate inspection data integration and comprehensive evaluation method for the railway freight yard also includes: After the S7, generate an outbound form based on the inbound gate inspection data and the gate inspection list associated with the current vehicle, and further determine whether to allow the current vehicle to leave the yard based on the outbound gate inspection data and the outbound form.

[0025] In a second aspect, an embodiment of the present invention also provides an intelligent gate inspection data integration and comprehensive evaluation system for a railway freight yard, including: A deployment mode determination module, configured to determine the deployment mode of the IoT device; An inbound gate inspection data acquisition module, configured to acquire at least one of the vehicle number data, the container number data, and the weighbridge data in the inbound gate inspection data based on the determined deployment mode; The gate inspection operation execution module is configured to respectively execute a first set of gate inspection operations corresponding to the vehicle number data, a second set of gate inspection operations corresponding to the container number data, and a third set of gate inspection operations corresponding to the weighbridge data based on at least one of the acquired vehicle number data, container number data, and weighbridge data. Among them, the first set of gate inspection operations includes at least one of data parsing, first validity verification, and logical determination; the second set of gate inspection operations includes at least one of data parsing, first validity verification, and logical determination; the third set of gate inspection operations includes at least one of data parsing, first validity verification, and logical determination. The association and binding module is configured to, when all the first set of gate inspection operations, the second set of gate inspection operations, and the third set of gate inspection operations are successfully passed, associate and bind the inbound gate inspection data corresponding to the deployment mode to the current vehicle. The second validity verification module is configured to perform at least one second validity verification based on at least one of the acquired vehicle number data, container number data, and weighbridge data, where the second validity verification module performs operations before or after the association and binding module performs operations. The vehicle inbound module is configured to allow the current vehicle to enter the station when the second validity verification is successfully passed for the first time; and The gate inspection list generation module is configured to generate a gate inspection list when all the second validity verifications are successfully passed, so that the current vehicle performs the operation content included in the gate inspection list.

[0026] In a third aspect, an embodiment of the present invention further provides an IoT device. The intelligent gate inspection data integration and comprehensive evaluation system for railway freight yards executes one or more of the methods for intelligent gate inspection data integration and comprehensive evaluation of railway freight yards based on the deployment mode of the IoT device.

[0027] Further, in a fourth aspect, an embodiment of the present invention further provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, the steps of the above-mentioned method for intelligent gate inspection data integration and comprehensive evaluation of railway freight yards are implemented.

[0028] Further, in a fifth aspect, an embodiment of the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned method for intelligent gate inspection data integration and comprehensive evaluation of railway freight yards are implemented.

[0029] As can be seen from the above technical solution, an intelligent gate inspection data integration and comprehensive evaluation method, system and IoT device provided by an embodiment of the present invention rely on an intelligent gate inspection data integration and comprehensive evaluation system for railway freight yards, utilize an intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards, and are based on IoT devices, aiming to solve at least the technical problems that gate inspection equipment has compatibility problems and great difficulty in integrated application, gate inspection equipment has a single function and information islands, the gate inspection system and process in the freight yard are not perfect enough, and the intelligence level of gate inspection equipment and technology is not high. It realizes the networking of multi-source heterogeneous gate inspection equipment of different manufacturers and models, processes such as parsing, validity verification, logical judgment, and data matching of gate inspection information data, associates and binds the gate inspection information with the vehicles to be inspected and conducts integrated application, and realizes data interaction between the gate inspection system and many gate inspection devices, improves the IoT perception data acquisition system for freight yards, enhances the data access and sharing capabilities of all elements of yard equipment, and will play an important role in promoting the intelligent development of railway freight yards. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0031] Figure 1 It is a flowchart of an intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards provided by an embodiment of the present invention; Figure 2 It is a schematic diagram of each deployment mode provided by an embodiment of the present invention; Figure 3 It is a schematic diagram of the structure of an intelligent gate inspection data integration and comprehensive evaluation system for railway freight yards provided by an embodiment of the present invention; and Figure 4 It is a schematic diagram of an electronic device provided by an embodiment of the present invention.

[0032] DESCRIPTION OF THE REFERENCE NUMERALS DETAILED DESCRIPTION OF THE EMBODIMENTS

[0033] To make the objectives, technical solutions, and advantages of the present invention clearer, the following will clearly and completely describe the technical solutions in the present invention with reference to the drawings in the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

[0034] The various terms or phrases used in the present invention have the general meanings well-known to those of ordinary skill in the art. Even so, the present invention still wishes to provide a more detailed description and explanation of these terms or phrases herein. If the terms and phrases involved herein are inconsistent with the well-known meanings, the meanings expressed in the present invention shall prevail; and if they are not defined in this application, they shall have the meanings commonly understood by those of ordinary skill in the art.

[0035] In the prior art, there are many problems including but not limited to the following: 1) There are compatibility problems with the gate inspection equipment and it is difficult to integrate and apply: The gate inspection equipment of different manufacturers and models uses different communication protocols and data formats, and the current situation of a large number, complex types, and inconsistent output result standards leads to great difficulty and time-consuming effort in the informatization integration of the gate inspection equipment; 2) The existing gate inspection equipment does not have the condition for networking: A large number of existing gate inspection equipment in the freight yard do not have wireless access modules, and the cost of replacing all the equipment is huge. While wired access requires the separate construction of a network channel, and the equipment networking cost is relatively high; 3) The functions of the gate inspection equipment are single and there are information silos: The vehicle number identification equipment in the freight yard only obtains the container truck number information, the container number identification equipment only obtains the container number information, and the truck scale detection equipment only obtains the weighing weight. However, these information are not interactively shared and comprehensively applied, seriously affecting the coordination and efficiency of the gate inspection operation; 4) The gate inspection system and process in the freight yard are not perfect: The freight yard lacks unified and clear gate inspection standards, resulting in uneven inspection levels in different freight yards. At the same time, the cumbersome inspection process affects the gate inspection efficiency and increases the time cost of goods transportation; 5) The degree of intelligence of the gate inspection equipment and technology is not high: At present, the gate inspection equipment still relies on manual operations for the logical association of information such as container truck numbers, container numbers, and weighing weights, as well as over-limit and overweight detection. The level of automation and intelligence is relatively low.

[0036] In view of this, on the first aspect, an embodiment of the present invention proposes an intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards, aiming to at least solve the technical problems of compatibility problems with the gate inspection equipment and difficulty in integration and application, single functions of the gate inspection equipment and information silos, imperfect gate inspection systems and processes in the freight yard, and low degree of intelligence of the gate inspection equipment and technology, realizing the networking of multi-source heterogeneous gate inspection equipment of different manufacturers and models, processing such as gate inspection information data parsing, validity verification, logical judgment, and data matching, and associating and binding the gate inspection information with the inspected operating vehicles and integrating and applying it, and realizing data interaction between the gate inspection system and many gate inspection equipment, improving the Internet of Things perception data acquisition system in the freight yard, enhancing the ability of the freight yard equipment to access and share all-element data, and playing an important role in promoting the intelligent development of railway freight yards.

[0037] The following combines Figure 1 to describe the intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards of the present invention.

[0038] Figure 1 is a flowchart of the intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards provided in an embodiment of the present invention.

[0039] In this embodiment, it should be noted that the intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards may include the following steps: S1. Determine the deployment mode of the IoT device; S2. Based on the determined deployment mode, obtain at least one of the vehicle number data, container number data, and truck scale data in the inbound gate inspection data; S3. Based on at least one of the obtained vehicle number data, container number data, and truck scale data, respectively perform a first set of gate inspection operations corresponding to the vehicle number data, a second set of gate inspection operations corresponding to the container number data, and a third set of gate inspection operations corresponding to the truck scale data. Among them, the first set of gate inspection operations includes at least one of data parsing, first validity verification, and logical determination; the second set of gate inspection operations includes at least one of data parsing, first validity verification, and logical determination; the third set of gate inspection operations includes at least one of data parsing, first validity verification, and logical determination; S4. When all the first set of gate inspection operations, the second set of gate inspection operations, and the third set of gate inspection operations are successfully passed, associate and bind the inbound gate inspection data corresponding to the deployment mode to the current vehicle; S5. Based on at least one of the obtained vehicle number data, container number data, and truck scale data, perform at least one second validity verification, where S5 is performed before or after S4; S6. When the second validity verification is successfully passed for the first time, allow the current vehicle to enter the yard; and S7. When all the second validity verifications are successfully passed, generate a gate inspection list so that the current vehicle performs the operation contents included in the gate inspection list.

[0040] The following combines Figure 2 each deployment mode in the intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards of the present invention.

[0041] Figure 2 is a schematic diagram of each deployment mode provided in an embodiment of the present invention.

[0042] Combined with the application scenarios in the field, different yards are limited by differences in gate inspection geographical locations, production organizations, management requirements, etc., resulting in that gate inspection devices such as vehicle numbers, container numbers, and truck scales cannot be installed at the same location.

[0043] For example, due to geographical location restrictions: the geographical locations of each station are different, and there are also differences in traffic conditions and surrounding environments, resulting in the installation of equipment having to take into account transportation efficiency and safety.

[0044] For another example, due to the production organization model: different stations may have different production processes and operation methods, and the equipment layout needs to adapt to their respective production requirements. For example, some stations may require faster cargo handling, while others may pay more attention to safety inspections.

[0045] For another example, due to management requirements: the requirements and standards in management may also be different. Some stations may require more rigorous inspections, while others are relatively lax, which will affect the configuration and layout of equipment.

[0046] For another example, due to site restrictions: the limitation of available space may also cause the equipment not to be placed centrally. Some stations may not be able to accommodate all the equipment due to insufficient space.

[0047] For another example, due to technical considerations: different equipment may have specific requirements for installation conditions, such as power supply, layout, operation process, etc., and these technical limitations will also cause the equipment to be scattered.

[0048] Combining the many restrictions in the above application scenarios, and according to the different positions and quantities of the intelligent gate inspection data integration and comprehensive evaluation IoT devices directly connected to the gate inspection equipment in railway freight stations, the present invention classifies and divides the deployment modes (or installation modes, installation and deployment modes) of the IoT devices.

[0049] Specifically, for S1, in this embodiment, it should be noted that the intelligent gate inspection data integration and comprehensive evaluation method for railway freight stations may further include: the deployment mode may include but is not limited to the full integration mode, at least one partial integration mode, and the independent mode.

[0050] More specifically, for S1, in this embodiment, it should be noted that the intelligent gate inspection data integration and comprehensive evaluation method for railway freight stations may further include: at least one partial integration mode may include but is not limited to the first partial integration mode, the second partial integration mode, and the third partial integration mode.

[0051] In this embodiment, taking the full integration mode as an example, as Figure 2 shown, in the application scenario of this station, all types of inbound gate inspection data of the trucks planned to enter the station for operation can be collected through various gate inspection equipment before entering the station.

[0052] Further combined with S2, in this embodiment, it should be noted that the intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards may further include: when the Internet of Things device is in a fully integrated mode, synchronously obtaining the vehicle number data, container number data, and truck scale data among the inbound gate inspection data.

[0053] Specifically, taking the fully integrated mode as an example, before entering the yard, the corresponding inbound gate inspection data of the freight trucks planned to enter the yard for operation can be synchronously collected through vehicle number recognition devices, container number recognition devices, and truck scale detection devices, that is, vehicle number data, container number data, and truck scale data.

[0054] In this embodiment, taking the partially integrated mode as an example, such as Figure 2 shown, in the application scenario of this yard, before entering the yard, some types of inbound gate inspection data of the freight trucks planned to enter the yard for operation can be collected through a kind of gate inspection device.

[0055] In this embodiment, taking the partially integrated mode as an example, such as Figure 2 shown, in the application scenario of this yard, before entering the yard, some types of inbound gate inspection data of the freight trucks planned to enter the yard for operation can be collected through a kind of gate inspection device, and after entering the yard, the remaining types of inbound gate inspection data of the freight trucks planned to enter the yard for operation can be collected through multiple gate inspection devices.

[0056] Further combined with S2, in this embodiment, it should be noted that the intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards may further include: when the Internet of Things device is in the first partially integrated mode, obtaining the vehicle number data among the inbound gate inspection data, and then obtaining the container number data and truck scale data among the inbound gate inspection data.

[0057] Specifically, taking the first partially integrated mode as an example, before entering the yard, the corresponding inbound gate inspection data of the freight trucks planned to enter the yard for operation can be collected through vehicle number recognition devices, that is, vehicle number data.

[0058] Further combined with S2, in this embodiment, it should be noted that the intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards may further include: when the Internet of Things device is in the second partially integrated mode, obtaining the vehicle number data and container number data among the inbound gate inspection data, and then obtaining the truck scale data among the inbound gate inspection data.

[0059] Specifically, taking the second partially integrated mode as an example, before entering the yard, the corresponding inbound gate inspection data of the freight trucks planned to enter the yard for operation can be collected through vehicle number recognition devices and container number recognition devices, that is, vehicle number data and container number data.

[0060] Further combined with S2, in this embodiment, it should be noted that the intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards may further include: in the case where the IoT device is in the third part integrated mode, obtaining the vehicle number data and the truck scale data among the inbound gate inspection data, and then obtaining the container number data among the inbound gate inspection data.

[0061] Specifically, taking the third part integrated mode as an example, before entering the yard, the corresponding inbound gate inspection data of the freight trucks planned to enter the yard for operation can be collected through the vehicle number recognition device and the truck scale detection device, that is, the vehicle number data and the truck scale data.

[0062] Further combined with S2, in this embodiment, it should be noted that the intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards may further include: in the case where the IoT device is in the independent mode, obtaining the vehicle number data among the inbound gate inspection data, then obtaining any one of the container number data or the truck scale data among the inbound gate inspection data, and then obtaining the other one of the container number data or the truck scale data that has not been obtained among the inbound gate inspection data.

[0063] Specifically, taking the independent mode as an example, before entering the yard, the corresponding inbound gate inspection data of the freight trucks planned to enter the yard for operation can be collected through the vehicle number recognition device, that is, the vehicle number data; after entering the yard, the corresponding inbound gate inspection data of the freight trucks planned to enter the yard for operation can be collected through the container number recognition device and the truck scale detection device respectively, that is, the container number data and the truck scale data.

[0064] Further combined with S2, in this embodiment, it should be noted that the intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards may further include: obtaining that different or the same waiting time thresholds can be set.

[0065] Specifically, in order to further avoid the long waiting situation caused by the timeout acquisition of inbound gate inspection data and improve the overall efficiency of the intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards, different or the same waiting time thresholds are set for the acquisition operations of many inbound gate inspection data.

[0066] More specifically, for the waiting time threshold (or the maximum waiting delay duration), if it is set too long, it will affect the passing efficiency, and if it is set too short, it will affect the recognition rate. In this application, through a large number of experiments and in the case of no damage, starting from the trigger detection, the vehicle number data can be detected within 0.5 seconds to 3 seconds, the container number data can be detected within 3 seconds to 12 seconds when the video analysis and comparison of five sides of the container are carried out and at least two sides of the detection results are consistent, and the truck scale data can be detected within 5 seconds to 10 seconds from the time when the truck presses the scale until it stops stably.

[0067] That is to say, the waiting time threshold can be set to any value within 0.5 seconds to 10 seconds. Of course, the embodiments of the present invention are not limited thereto, and those of ordinary skill in the art can further modify or set other waiting time thresholds according to the requirements of the actual application scenario.

[0068] For example, taking the fully integrated mode as an example, before entering the site, through the vehicle number identification device, container number identification device, and truck scale detection device, the corresponding inbound gate inspection data of the truck planned to enter the site for operation is synchronously collected, that is, vehicle number data, container number data, and truck scale data. An operation time threshold is set for the acquisition of the inbound gate inspection data at this stage.

[0069] It should be noted that the "synchronization" in the fully integrated mode here does not mean obtaining each piece of inbound gate inspection data at the same moment, but rather refers to obtaining all the inbound gate inspection data in this stage before entering the site in the fully integrated mode compared to the "partial integrated mode and independent mode only obtaining partial inbound gate inspection data before entering the site".

[0070] For another example, taking the first partial integrated mode as an example, before entering the site, through the vehicle number identification device, the corresponding inbound gate inspection data of the truck planned to enter the site for operation is collected, that is, vehicle number data. An operation time threshold is set for the acquisition of the inbound gate inspection data at this stage.

[0071] In addition, for another example, taking the first partial integrated mode as an example, after entering the site, through the container number identification device and the truck scale detection device, the corresponding inbound gate inspection data of the truck planned to enter the site for operation is collected, that is, container number data and truck scale data. The same or different operation time thresholds are set for the acquisition of the inbound gate inspection data at this stage.

[0072] For another example, taking the second partial integrated mode as an example, before entering the site, through the vehicle number identification device and the container number identification device, the corresponding inbound gate inspection data of the truck planned to enter the site for operation is collected, that is, vehicle number data and container number data. An operation time threshold is set for the acquisition of the inbound gate inspection data at this stage.

[0073] In addition, for another example, taking the second partial integrated mode as an example, after entering the site, through the truck scale detection device, the corresponding inbound gate inspection data of the truck planned to enter the site for operation is collected, that is, truck scale data. The same or different operation time thresholds are set for the acquisition of the inbound gate inspection data at this stage.

[0074] For another example, taking the third partial integrated mode as an example, before entering the site, through the vehicle number identification device and the truck scale detection device, the corresponding inbound gate inspection data of the truck planned to enter the site for operation is collected, that is, vehicle number data and truck scale data. An operation time threshold is set for the acquisition of the inbound gate inspection data at this stage.

[0075] In addition, for example, taking the third part integration mode as an example, after entering the station, through the container number identification device, the corresponding inbound gate inspection data of the trucks planned to enter the station for operation is collected, that is, the container number data. For the acquisition of the inbound gate inspection data at this stage, the same or different operation time thresholds are set.

[0076] For another example, taking the independent mode as an example, before entering the station, through the vehicle number identification device, the corresponding inbound gate inspection data of the trucks planned to enter the station for operation is collected, that is, the vehicle number data. For the acquisition of the inbound gate inspection data at this stage, the operation time threshold is set.

[0077] In addition, for example, taking the independent mode as an example, after entering the station, through at least one of the container number identification device and the truck scale detection device, the corresponding inbound gate inspection data of the trucks planned to enter the station for operation is synchronously or separately collected, that is, at least one of the container number data and the truck scale data. For the acquisition of the inbound gate inspection data at this stage, the same or different operation time thresholds are set. That is to say, in the independent mode, after entering the station, the acquisition of the inbound gate inspection data may include but is not limited to two situations: (1) First, through the container number identification device located in the front, the container number data is separately obtained, and then through the truck scale detection device located in the back, the truck scale data is separately obtained; (2) First, through the truck scale detection device located in the back, the truck scale data is separately obtained, and then through the container number identification device located in the front, the container number data is separately obtained.

[0078] It should be noted that there are situations where the inbound gate inspection data fails to be successfully obtained, the obtained data is incomplete (for example, in the full integration mode, only the container number data is obtained, and the vehicle number data and the truck scale data are not obtained), or the corresponding inbound gate inspection data is not obtained after the timeout. For example, due to possible obstacles in the gate inspection equipment or the Internet of Things device (which may include but is not limited to communication interruption, power interruption, etc.), reasons such as the license plate or the box being dirty or damaged. In the above situations, the driver can contact the freight yard operators, and the data can be detected or manually entered through the handheld device. Moreover, there are information display signs beside the gate inspection equipment to show the obtained data; if the corresponding inbound gate inspection data is not obtained after exceeding the operation time threshold (or the maximum waiting delay duration), it is prompted to retreat to the channel or the corresponding detection point to re-obtain the corresponding inbound gate inspection data. In addition, according to the on-site gate inspection channels or vehicle flow, it is also possible to flexibly select to exit the channel and re-enter the detection, or enter other channels for detection, or when entering the waiting area, other vehicles are given priority for detection.

[0079] In addition, it should be noted that the trucks in the freight yard may include but are not limited to the following types: Flatbed truck: Used for transporting large and heavy goods, such as mechanical equipment and steel; Van: With a closed design, suitable for transporting goods that are susceptible to moisture or need protection, such as food and household appliances; Refrigerated truck: Specifically designed for transporting perishable goods, maintaining low temperature to ensure the freshness of goods, such as fresh food and pharmaceuticals; Tank truck: Used for transporting liquid goods, such as chemicals, petroleum, and liquid food; Container truck: Used for transporting standard containers, suitable for transshipping various goods, and enabling multimodal transport through different transportation modes; Low-bed truck: The carriage is relatively low, facilitating the loading and unloading of tall goods, such as large machinery or building materials; Truck tractor: Combined with a specific trailer, mainly used in long-distance transportation; Multi-functional vehicle: It has different carriage configurations, which can be adjusted according to actual needs to adapt to the transportation of various goods.

[0080] Specifically, for S3, in this embodiment, it should be noted that the intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards may further include: the gate inspection operations corresponding to vehicle number data are the first group of gate inspection operations, the gate inspection operations corresponding to container number data are the second group of gate inspection operations, and the gate inspection operations corresponding to truck scale data are the third group of gate inspection operations. Each gate inspection operation includes at least one of data parsing, the first validity check, and logical determination.

[0081] Specifically, the intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards may further include formulating in advance a data standard library for pre-connected IoT devices, and the gate inspection equipment formulates corresponding basic dictionary information such as data parsing protocols, data types, coding lengths, and data precisions according to different categories and different specifications and models.

[0082] Specifically, the intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards may further include establishing a standard unified data service interface and receiving the information actively pushed by IoT devices in a wired or wireless IoT manner.

[0083] Specifically, the intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards may further include first performing data cleaning and filtering on information such as invalid and missing items and duplicate items for different types of IoT devices, and then parsing and processing the cleaned legal data according to the pre-set data parsing protocol.

[0084] More specifically, the first validity check is based on the IoT device to perform a validity check on the incoming gate inspection data itself (for example, whether the data length, combination of numbers and letters, etc. are compliant).

[0085] For example, for the vehicle number data in the incoming gate inspection data, it can be determined whether the vehicle number data in the incoming gate inspection data passes the first validity check based on whether the data length of the vehicle number data conforms to the license plate number digit length required by relevant regulations.

[0086] For another example, regarding the container number data in the inbound gate inspection data, it can be determined whether the container number data in the inbound gate inspection data passes the first validity check based on whether the alphanumeric combination of the container number data conforms to the combination rules required in the relevant regulations.

[0087] Furthermore, regarding S3, in this embodiment, it should be noted that the intelligent gate inspection data integration and comprehensive evaluation method for the railway freight yard may further include: the first group of gate inspection operations, the second group of gate inspection operations, and the third group of gate inspection operations have an error handling mechanism.

[0088] Specifically, an error and exception handling mechanism is set. When errors or exceptions occur during different inbound gate inspection data processing links such as the operation, parsing, matching, verification, and uploading of the IoT device, the corresponding inbound gate inspection data is recollected or obtained for subsequent process processing or problem troubleshooting.

[0089] Even further, regarding S3, in this embodiment, it should be noted that the error handling mechanism includes: in the case where at least one of the first group of gate inspection operations, the second group of gate inspection operations, and the third group of gate inspection operations fails to pass successfully, return to re - execute S2, where failing to pass successfully includes at least one of data parsing, the first validity check, and logical determination performed on the inbound gate inspection data not passing successfully.

[0090] In addition, in a further embodiment, for the re - acquisition of the inbound gate inspection data included in the error handling mechanism, an appropriate operation time threshold (or maximum waiting delay duration) can also be set.

[0091] Specifically, in this embodiment, it should be noted that the error handling mechanism includes: in the case of the full - integration mode, re - synchronously obtaining at least one of the vehicle number data corresponding to the first group of gate inspection operations that fails to pass successfully, the container number data corresponding to the second group of gate inspection operations that fails to pass successfully, and the truck scale data corresponding to the third group of gate inspection operations that fails to pass successfully.

[0092] Specifically, in this embodiment, it should be noted that the error handling mechanism includes: in the case of the first part integration mode, if only one of the first group of gate inspection operations, the second group of gate inspection operations, and the third group of gate inspection operations fails to pass the gate inspection operation successfully, the vehicle number data corresponding to the gate inspection operation that fails to pass successfully is re-obtained; if the first group of gate inspection operations and the second group of gate inspection operations fail to pass successfully, the vehicle number data corresponding to the first group of gate inspection operations is re-obtained, and then the container number data corresponding to the second group of gate inspection operations is re-obtained; if the first group of gate inspection operations and the third group of gate inspection operations fail to pass successfully, the vehicle number data corresponding to the first group of gate inspection operations is re-obtained, and then the truck scale data corresponding to the third group of gate inspection operations is re-obtained; if the second group of gate inspection operations and the third group of gate inspection operations fail to pass successfully, the container number data corresponding to the second group of gate inspection operations and the truck scale data corresponding to the third group of gate inspection operations are re-obtained; if the first group of gate inspection operations, the second group of gate inspection operations, and the third group of gate inspection operations all fail to pass successfully, the vehicle number data corresponding to the first group of gate inspection operations is re-obtained, and then the container number data corresponding to the second group of gate inspection operations and the truck scale data corresponding to the third group of gate inspection operations are re-obtained.

[0093] Since in any deployment mode, there must be at least a vehicle number detection device among the gate inspection devices at the foremost position for obtaining the inbound gate inspection data (for example, at the position of the freight yard gate), therefore: in the first part integration mode, if only one of the first group of gate inspection operations, the second group of gate inspection operations, and the third group of gate inspection operations fails to pass the gate inspection operation successfully, it must be that the vehicle number data obtained first is abnormal, that is, the first group of gate inspection operations corresponding to the vehicle number data fails, so the vehicle number data corresponding to the gate inspection operation that fails to pass successfully is re-obtained.

[0094] Specifically, in this embodiment, it should be noted that the error handling mechanism includes: in the case of the second part integrated mode, if only one of the first group of gate inspection operations, the second group of gate inspection operations, and the third group of gate inspection operations fails to pass the gate inspection operation successfully, the vehicle number data and the container number data corresponding to the gate inspection operation that fails to pass successfully are re-obtained; if the first group of gate inspection operations and the second group of gate inspection operations fail to pass the gate inspection operation successfully, the vehicle number data corresponding to the first group of gate inspection operations and the container number data corresponding to the second group of gate inspection operations are re-obtained; if the second group of gate inspection operations and the third group of gate inspection operations fail to pass the gate inspection operation successfully, the container number data corresponding to the second group of gate inspection operations are re-obtained, and then the weighbridge data corresponding to the third group of gate inspection operations are re-obtained; if the first group of gate inspection operations and the third group of gate inspection operations fail to pass the gate inspection operation successfully, the vehicle number data corresponding to the first group of gate inspection operations are re-obtained, and then the weighbridge data corresponding to the third group of gate inspection operations are re-obtained; if the first group of gate inspection operations, the second group of gate inspection operations, and the third group of gate inspection operations all fail to pass successfully, the vehicle number data corresponding to the first group of gate inspection operations and the container number data corresponding to the second group of gate inspection operations are re-obtained, and then the weighbridge data corresponding to the third group of gate inspection operations are re-obtained.

[0095] Since in any deployment mode, there must be at least a vehicle number detection device among the gate inspection devices at the foremost position for obtaining the inbound gate inspection data (for example, at the position of the freight yard gate), therefore: in the second part integrated mode, if only one of the first group of gate inspection operations, the second group of gate inspection operations, and the third group of gate inspection operations fails to pass the gate inspection operation successfully, it must be that at least one of the vehicle number data and the container number data obtained first is abnormal, that is, at least one of the first group of gate inspection operations corresponding to the vehicle number data and the second group of gate inspection operations corresponding to the container number data fails to succeed. Therefore, the vehicle number data and the container number data corresponding to the gate inspection operation that fails to pass successfully are re-obtained.

[0096] Specifically, in this embodiment, it should be noted that the error handling mechanism includes: in the case of the third part integration mode, if only one of the first group of gate inspection operations, the second group of gate inspection operations, and the third group of gate inspection operations fails to pass the gate inspection operation successfully, the vehicle number data and the truck scale data corresponding to the gate inspection operation that fails to pass successfully are retrieved again; if the first group of gate inspection operations and the second group of gate inspection operations fail to pass the gate inspection operation successfully, the vehicle number data corresponding to the first group of gate inspection operations is retrieved again, and then the container number data corresponding to the second group of gate inspection operations is retrieved again; if the first group of gate inspection operations and the third group of gate inspection operations fail to pass the gate inspection operation successfully, the vehicle number data corresponding to the first group of gate inspection operations and the truck scale data corresponding to the third group of gate inspection operations are retrieved again; if the second group of gate inspection operations and the third group of gate inspection operations fail to pass the gate inspection operation successfully, the truck scale data corresponding to the third group of gate inspection operations is retrieved again, and then the container number data corresponding to the second group of gate inspection operations is retrieved again; if the first group of gate inspection operations, the second group of gate inspection operations, and the third group of gate inspection operations all fail to pass successfully, the vehicle number data corresponding to the first group of gate inspection operations and the truck scale data corresponding to the third group of gate inspection operations are retrieved again, and then the container number data corresponding to the second group of gate inspection operations is retrieved again.

[0097] Since in any deployment mode, there must be at least a vehicle number detection device among the gate inspection devices at the foremost position for obtaining the inbound gate inspection data (for example, at the position of the freight yard gate), therefore: in the second part integration mode, if only one of the first group of gate inspection operations, the second group of gate inspection operations, and the third group of gate inspection operations fails to pass the gate inspection operation successfully, it must be that at least one of the vehicle number data and the truck scale data obtained first is abnormal, that is, at least one of the first group of gate inspection operations corresponding to the vehicle number data and the third group of gate inspection operations corresponding to the truck scale data fails to succeed. Therefore, the vehicle number data and the truck scale data corresponding to the gate inspection operation that fails to pass successfully are retrieved again.

[0098] Specifically, in this embodiment, it should be noted that the error handling mechanism includes: in the case of the independent mode, if only one of the first group of gate inspection operations, the second group of gate inspection operations, and the third group of gate inspection operations fails to pass the gate inspection operation successfully, the vehicle number data corresponding to the gate inspection operation that fails to pass successfully is retrieved again; if the first group of gate inspection operations and the second group of gate inspection operations fail to pass the gate inspection operation successfully, the vehicle number data corresponding to the first group of gate inspection operations is retrieved again, and then the container number data corresponding to the second group of gate inspection operations is retrieved again; if the first group of gate inspection operations and the third group of gate inspection operations fail to pass the gate inspection operation successfully, the vehicle number data corresponding to the first group of gate inspection operations is retrieved again, and then the weighbridge data corresponding to the third group of gate inspection operations is retrieved again; if the second group of gate inspection operations and the third group of gate inspection operations fail to pass the gate inspection operation successfully, the weighbridge data corresponding to the third group of gate inspection operations is retrieved again, and then the container number data corresponding to the second group of gate inspection operations is retrieved again, or the container number data corresponding to the second group of gate inspection operations is retrieved again, and then the weighbridge data corresponding to the third group of gate inspection operations is retrieved again; if the first group of gate inspection operations, the second group of gate inspection operations, and the third group of gate inspection operations all fail to pass successfully, the vehicle number data corresponding to the first group of gate inspection operations is retrieved again, and then the container number data corresponding to the second group of gate inspection operations is retrieved again, and then the weighbridge data corresponding to the third group of gate inspection operations is retrieved again, or the vehicle number data corresponding to the first group of gate inspection operations is retrieved again, and then the weighbridge data corresponding to the third group of gate inspection operations is retrieved again, and then the container number data corresponding to the second group of gate inspection operations is retrieved again.

[0099] Since in any deployment mode, there must be at least a vehicle number detection device among the gate inspection devices at the foremost position for obtaining the inbound gate inspection data (for example, at the position of the freight yard gate), therefore: In the independent mode, if only one of the first group of gate inspection operations, the second group of gate inspection operations, and the third group of gate inspection operations fails to pass the gate inspection operation successfully, it must be that the vehicle number data obtained first is abnormal, that is, the first group of gate inspection operations corresponding to the vehicle number data fails to pass successfully. Therefore, the vehicle number data corresponding to the gate inspection operation that fails to pass successfully is retrieved again.

[0100] Further, for S4, in this embodiment, it should be noted that the intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards may further include: binding the accessed IoT information through business association according to specific association rules, such as setting based on gate inspection information according to the detection time of gate inspection equipment, the master-slave relationship of IoT devices, the grouping information of IoT devices, etc., and using IoT devices for edge computing to associate the vehicle number data, container number data, truck scale data, and the acquisition time of corresponding inbound gate inspection data, and forming a complete piece of information to be associated and bound to the corresponding vehicle.

[0101] Further, for S5, in this embodiment, it should be noted that the intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards may further include: in the fully integrated mode, performing a second validity check for vehicle number data, container number data, and truck scale data; in at least one partial integration mode or independent mode, performing a second validity check for vehicle number data, and then performing a second validity check for container number data or truck scale data.

[0102] Specifically, the second validity check is different from the foregoing first validity check, and the second validity check is a further validity check in terms of business for each inbound gate inspection data that has passed the first validity check based on IoT devices and the gate inspection method.

[0103] More specifically, the second validity check may include: for truck scale data, determining whether the current vehicle associated and bound with the truck scale data is overweight. For example, if the current vehicle is overweight, it can be determined that entry is prohibited and the vehicle can be prompted to exit the yard and / or make compliance rectifications, etc.

[0104] More specifically, the second validity check may include: for vehicle number data, determining whether the current vehicle associated and bound with the vehicle number data has submitted a reservation application for inbound operation in advance. For example, if the current vehicle has not submitted a reservation application, it can be determined that entry is prohibited and the vehicle can be prompted to exit the yard and / or make compliance rectifications, etc.

[0105] More specifically, the second validity check may include: for container number data, determining whether the current vehicle associated and bound with the container number data is over-limit transported or carrying a predetermined number of containers, whether the type of the transported cargo container is non-compliant or inconsistent with the container type in the reservation application. For example, if the current vehicle is over-limit transported or carrying a predetermined number of containers, the type of the transported cargo container is non-compliant or inconsistent with the container type in the reservation application, it can be determined that entry is prohibited and the vehicle can be prompted to exit the yard and / or make compliance rectifications, etc.

[0106] Of course, the verification content of the second validity verification includes, but is not limited to, the above forms, and can further set the validity verification including whether the entry time and date of the current vehicle are valid. For example, if the entry gate inspection data of each vehicle is consistent with the entry information in the entry reservation form on the railway freight e-commerce platform and the entry time and date of the current vehicle are within the valid time limit, the second validity verification is successful and the subsequent processes can be carried out (such as generating an electronic weighing list and a loading and unloading operation list, sending a release instruction and the barrier gate executes the operation of lifting the rod for the vehicle to enter the station); if the entry time and date of the current vehicle are not within the valid time limit, the second validity verification fails, and at this time, it can be determined that the vehicle is prohibited from passing and prompt to exit the station yard and / or compliance rectification, etc.

[0107] Furthermore, for S7, in this embodiment, it should be noted that the intelligent gate inspection data integration and comprehensive evaluation method for the railway freight yard can also include: the gate inspection list can include, but is not limited to, an electronic weighing list, an operation content list (or called a loading and unloading operation list), etc.

[0108] In addition, for S7, in this embodiment, it should be noted that the intelligent gate inspection data integration and comprehensive evaluation method for the railway freight yard can also include: after S7, an exit list is generated based on the entry gate inspection data and the gate inspection list associated and bound with the current vehicle, and further determine whether to allow the current vehicle to exit based on the exit gate inspection data and the exit list.

[0109] Specifically, after the operation such as loading and unloading is completed, an exit list (or called an outbound list) can be generated based on the entry gate inspection data of the current vehicle and the gate inspection list related to the main page content. Then, the container truck passes through the gate inspection equipment at the exit to collect the corresponding exit gate inspection data. Combining with the exit list, it is determined whether the current vehicle has completely completed the loading and unloading and delivery. If it is determined that the loading and unloading and delivery have been completely completed, a release instruction is sent and the barrier gate executes the operation of lifting the rod for the current vehicle to exit.

[0110] As can be seen from the above technical solutions, the intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards provided by the embodiments of the present invention is applicable not only to the whole vehicle and container operations (including one vehicle towing one container and one vehicle towing two containers) in the actual operation process of freight yards, as well as operations such as heavy (container) in and heavy (container) out, heavy in and empty out, empty in and heavy out, empty in and empty out, but also to the gate inspection equipment in the yard and other IoT devices such as other inspection equipment, monitoring equipment, and loading and unloading equipment in the freight yard. Based on IoT devices, this intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards introduces intelligent technologies such as the Internet of Things and cloud-edge computing to automatically associate gate inspection information, comprehensively evaluate over-limit and overweight detections, and automatically generate rectification measures and push them to the driver side. The whole process does not require full-time personnel in the yard to operate, greatly improving the automation and intelligence level of gate inspection operations. It solves at least the technical problems that the gate inspection equipment has compatibility problems and is difficult to integrate and apply, the gate inspection equipment has a single function and there are information islands, the gate inspection system and process in the yard are not perfect enough, and the intelligence level of gate inspection equipment and technology is not high. It realizes the networking of multi-source heterogeneous gate inspection equipment of different manufacturers and models, processes such as gate inspection information data parsing, validity verification, logical judgment, and data matching, associates and binds the gate inspection information with the inspected operation vehicle and integrates and applies it, and realizes data interaction between the intelligent gate inspection data integration and comprehensive evaluation system for railway freight yards and many gate inspection equipment, improves the IoT perception data acquisition system in the freight yard, enhances the data access and sharing ability of all elements of the yard equipment, and will play an important role in promoting the intelligent development of railway freight yards.

[0111] Based on the same inventive concept, on the other hand, an embodiment of the present invention proposes an intelligent gate inspection data integration and comprehensive evaluation system for railway freight yards.

[0112] The following combines Figure 3 to describe the intelligent gate inspection data integration and comprehensive evaluation system for railway freight yards provided by the present invention. The intelligent gate inspection data integration and comprehensive evaluation system for railway freight yards described below can be correspondingly referred to the intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards described above.

[0113] Figure 3 It is a schematic structural diagram of the intelligent gate inspection data integration and comprehensive evaluation system for railway freight yards provided by an embodiment of the present invention.

[0114] In this embodiment, it should be noted that the intelligent gate inspection data integration and comprehensive evaluation system 100 for railway freight yards includes: a deployment mode determination module 110 configured to determine the deployment mode of the Internet of Things devices; an inbound gate inspection data acquisition module 120 configured to acquire at least one of vehicle number data, container number data, and truck scale data among the inbound gate inspection data based on the determined deployment mode; a gate inspection operation execution module 130 configured to respectively execute a first set of gate inspection operations corresponding to the vehicle number data, a second set of gate inspection operations corresponding to the container number data, and a third set of gate inspection operations corresponding to the truck scale data based on at least one of the acquired vehicle number data, container number data, and truck scale data, wherein the first set of gate inspection operations includes at least one of data parsing, first validity verification, and logical determination, the second set of gate inspection operations includes at least one of data parsing, first validity verification, and logical determination, and the third set of gate inspection operations includes at least one of data parsing, first validity verification, and logical determination; an association binding module 140 configured to, when all the first set of gate inspection operations, the second set of gate inspection operations, and the third set of gate inspection operations are successfully passed, associate and bind the inbound gate inspection data corresponding to the deployment mode to the current vehicle; a second validity verification module 150 configured to perform at least one second validity verification based on at least one of the acquired vehicle number data, container number data, and truck scale data, wherein the second validity verification module performs the operation before or after the association binding module performs the operation; a vehicle inbound module 160 configured to allow the current vehicle to enter the yard when the second validity verification is successfully passed for the first time; and a gate inspection list generation module 170 configured to generate a gate inspection list when all the second validity verifications are successfully passed, so that the current vehicle performs the operation content included in the gate inspection list.

[0115] As can be seen from the above technical solution, the intelligent gate inspection data integration and comprehensive evaluation system for railway freight yards provided by the embodiments of the present invention is applicable not only to the whole vehicle and container operations (including one vehicle towing one container and one vehicle towing two containers) during the actual operation of freight yards, as well as operations such as heavy (container) in and heavy (container) out, heavy in and empty out, empty in and heavy out, and empty in and empty out, but also to the gate inspection equipment at the yard, and to other IoT devices such as other inspection equipment, monitoring equipment, and loading and unloading equipment at the freight yard. This intelligent gate inspection data integration and comprehensive evaluation system for railway freight yards is based on IoT devices and uses the intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards. By introducing intelligent technologies such as the Internet of Things and cloud-edge computing, it realizes automatic association of gate inspection information, comprehensively evaluates over-limit and overweight detections, automatically generates rectification measures and pushes them to the driver side. The whole process does not require full-time personnel at the yard to operate, greatly improving the automation and intelligence level of gate inspection operations. It solves at least the technical problems that the gate inspection equipment has compatibility problems and is difficult to integrate and apply, the gate inspection equipment has a single function and there are information silos, the gate inspection system and process at the yard are not perfect enough, and the intelligence level of gate inspection equipment and technology is not high. It realizes the networking of multi-source heterogeneous gate inspection equipment of different manufacturers and models, processes gate inspection information data parsing, validity verification, logical judgment, data matching, etc., associates and binds the gate inspection information with the inspected operation vehicle and integrates the application, and realizes data interaction between the intelligent gate inspection data integration and comprehensive evaluation system for railway freight yards and many gate inspection equipment, improves the IoT perception data acquisition system of the freight yard, enhances the access and sharing ability of all-element data of yard equipment, and will play an important role in promoting the intelligent development of railway freight yards.

[0116] Since the system provided by the embodiments of the present invention can be used to execute the method described in the above embodiments, the specific content of its working principle can be referred to the introduction of the above method embodiments.

[0117] In this embodiment, it should be noted that each module in the intelligent gate inspection data integration and comprehensive evaluation system for railway freight yards in the embodiments of the present invention can be integrated into one body or separated and deployed. The above modules can be combined into one module or further split into multiple sub-units.

[0118] On the other hand, based on the same inventive concept, another embodiment of the present invention provides an IoT device. The aforementioned intelligent gate inspection data integration and comprehensive evaluation system for railway freight yards executes one or more of the aforementioned intelligent gate inspection data integration and comprehensive evaluation methods based on the deployment mode of the IoT device. Since the aforementioned intelligent gate inspection data integration and comprehensive evaluation system for railway freight yards provided by the embodiments of the present invention can execute one or more of the aforementioned intelligent gate inspection data integration and comprehensive evaluation methods for railway freight yards based on the deployment mode of the IoT device, the specific content of its working principle or beneficial effects can be referred to the introduction of the above method embodiments.

[0119] In another aspect, based on the same inventive concept, another embodiment of the present invention provides an electronic device.

[0120] Figure 4 Schematic diagram of the electronic device provided by an embodiment of the present invention.

[0121] In this embodiment, it should be noted that the electronic device may include: a processor 410, a communications interface 420, a memory 430, and a communication bus 440. Among them, the processor 410, the communications interface 420, and the memory 430 complete mutual communication through the communication bus 440. The processor 410 may call logic instructions in the memory 430 to execute the intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards, and the intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards includes: S1, determining the deployment mode of the Internet of Things devices; S2, based on the determined deployment mode, obtaining at least one of the vehicle number data, container number data, and truck scale data among the inbound gate inspection data; S3, based on at least one of the obtained vehicle number data, container number data, and truck scale data, respectively performing a first set of gate inspection operations corresponding to the vehicle number data, a second set of gate inspection operations corresponding to the container number data, and a third set of gate inspection operations corresponding to the truck scale data, where the first set of gate inspection operations includes at least one of data parsing, first validity verification, and logical determination, the second set of gate inspection operations includes at least one of data parsing, first validity verification, and logical determination, and the third set of gate inspection operations includes at least one of data parsing, first validity verification, and logical determination; S4, when all the first set of gate inspection operations, the second set of gate inspection operations, and the third set of gate inspection operations are successfully passed, associating and binding the inbound gate inspection data corresponding to the deployment mode to the current vehicle; S5, based on at least one of the obtained vehicle number data, container number data, and truck scale data, performing at least one second validity verification, where S5 is performed before or after S4; S6, when the second validity verification is successfully passed for the first time, allowing the current vehicle to enter the yard; and S7, when all the second validity verifications are successfully passed, generating a gate inspection list to enable the current vehicle to execute the operation content included in the gate inspection list.

[0122] In addition, when the logical instructions in the above-mentioned memory 430 are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs.

[0123] In another aspect, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it is used to execute the intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards. The intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards includes: S1, determining the deployment mode of the Internet of Things devices; S2, based on the determined deployment mode, obtaining at least one of the vehicle number data, container number data, and truck scale data among the inbound gate inspection data; S3, based on at least one of the obtained vehicle number data, container number data, and truck scale data, respectively performing a first set of gate inspection operations corresponding to the vehicle number data, a second set of gate inspection operations corresponding to the container number data, and a third set of gate inspection operations corresponding to the truck scale data. Among them, the first set of gate inspection operations includes at least one of data parsing, first validity verification, and logical determination; the second set of gate inspection operations includes at least one of data parsing, first validity verification, and logical determination; the third set of gate inspection operations includes at least one of data parsing, first validity verification, and logical determination; S4, when all the first set of gate inspection operations, the second set of gate inspection operations, and the third set of gate inspection operations are successfully passed, associating and binding the inbound gate inspection data corresponding to the deployment mode to the current vehicle; S5, based on at least one of the obtained vehicle number data, container number data, and truck scale data, performing at least one second validity verification, where S5 is executed before or after S4; S6, when the second validity verification is successfully passed for the first time, allowing the current vehicle to enter the yard; and S7, when all the second validity verifications are successfully passed, generating a gate inspection list so that the current vehicle executes the operation content included in the gate inspection list.

[0124] The system embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. A person of ordinary skill in the art can understand and implement it without creative labor.

[0125] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the essence of the above technical solution, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0126] In addition, in the present invention, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "including one..." does not exclude the presence of another identical element in the process, method, article or device including the said element.

[0127] In addition, in the present invention, the description with reference to terms such as "embodiment", "this embodiment", "another embodiment", etc. means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in a suitable manner in any one or more embodiments or examples. In addition, without contradiction, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0128] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments or perform equivalent replacements for some of the technical features. These modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards, characterized in that Including: S1. Determine the deployment mode of the Internet of Things device; S2. Based on the determined deployment mode, obtain at least one of the vehicle number data, container number data, and truck scale data among the inbound gate inspection data; S3. Based on at least one of the obtained vehicle number data, container number data, and truck scale data, respectively perform a first set of gate inspection operations corresponding to the vehicle number data, a second set of gate inspection operations corresponding to the container number data, and a third set of gate inspection operations corresponding to the truck scale data. Among them, the first set of gate inspection operations includes at least one of data parsing, first validity verification, and logical determination; the second set of gate inspection operations includes at least one of data parsing, first validity verification, and logical determination; the third set of gate inspection operations includes at least one of data parsing, first validity verification, and logical determination; S4. When all of the first set of gate inspection operations, the second set of gate inspection operations, and the third set of gate inspection operations pass successfully, associate and bind the inbound gate inspection data corresponding to the deployment mode to the current vehicle; S5. Based on at least one of the obtained vehicle number data, container number data, and truck scale data, perform at least one second validity verification, where S5 is performed before or after S4; S6. When the second validity verification passes successfully for the first time, allow the current vehicle to enter the site; and S7. When all of the second validity verifications pass successfully, generate a gate inspection list to enable the current vehicle to perform the operation content included in the gate inspection list.

2. The gate inspection method according to claim 1, wherein The deployment mode includes a full integration mode, at least one partial integration mode, and an independent mode.

3. The door inspection method according to claim 1, characterized in that, The at least one partial integration mode includes a first partial integration mode, a second partial integration mode, and a third partial integration mode.

4. The door inspection method according to claim 2, characterized in that, S2 further includes: When the Internet of Things device is in the full integration mode, synchronously obtain the vehicle number data, container number data, and truck scale data among the inbound gate inspection data.

5. The intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards according to claim 3, characterized in that S2 further includes: When the Internet of Things device is in the first partial integration mode, obtain the vehicle number data among the inbound gate inspection data, and then obtain the container number data and truck scale data among the inbound gate inspection data.

6. The intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards according to claim 3, characterized in that, S2 further includes: When the Internet of Things device is in the second partial integration mode, obtain the vehicle number data and container number data among the inbound gate inspection data, and then obtain the truck scale data among the inbound gate inspection data.

7. The intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards according to claim 3, characterized in that S2 further includes: When the Internet of Things device is in the third partial integration mode, obtain the vehicle number data and truck scale data among the inbound gate inspection data, and then obtain the container number data among the inbound gate inspection data.

8. The intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards according to claim 2, wherein S2 further includes: When the Internet of Things device is in the independent mode, obtain the vehicle number data among the inbound gate inspection data, then obtain any one of the container number data or truck scale data among the inbound gate inspection data, and then obtain the one of the container number data or truck scale data that has not been obtained among the inbound gate inspection data.

9. The intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards according to any one of claims 1 to 8, characterized in that The obtained settings have different or the same waiting time thresholds.

10. The intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards according to claims 3 to 8, characterized in that, The gate inspection method further includes: the first set of gate inspection operations, the second set of gate inspection operations, and the third set of gate inspection operations having an error handling mechanism.

11. The intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards according to claim 10, characterized in that, The error handling mechanism includes: in the case where at least one of the first set of gate inspection operations, the second set of gate inspection operations, and the third set of gate inspection operations fails to pass successfully, returning to re-execute S2, where the failure to pass successfully includes at least one of the data parsing, the first validity check, and the logical determination performed on the inbound gate inspection data failing to pass successfully.

12. The intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards according to claim 11, characterized in that In the case where at least one of the first set of gate inspection operations, the second set of gate inspection operations, and the third set of gate inspection operations fails to pass successfully, returning to re-execute S2 includes: In the case of the fully integrated mode, re-synchronously acquiring at least one of the vehicle number data corresponding to the first set of gate inspection operations that fails to pass successfully, the container number data corresponding to the second set of gate inspection operations that fails to pass successfully, and the weighbridge data corresponding to the third set of gate inspection operations that fails to pass successfully.

13. The intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards according to claim 11, wherein In the case where at least one of the first set of gate inspection operations, the second set of gate inspection operations, and the third set of gate inspection operations fails to pass successfully, returning to re-execute S2 includes: In the case of the first partial integrated mode, If only one of the first set of gate inspection operations, the second set of gate inspection operations, and the third set of gate inspection operations fails to pass the gate inspection operation, re-acquire the vehicle number data corresponding to the gate inspection operation that fails to pass. If the first set of gate inspection operations and the second set of gate inspection operations fail to pass successfully, re-acquire the vehicle number data corresponding to the first set of gate inspection operations, and then re-acquire the container number data corresponding to the second set of gate inspection operations. If the first set of gate inspection operations and the third set of gate inspection operations fail to pass successfully, re-acquire the vehicle number data corresponding to the first set of gate inspection operations, and then re-acquire the weighbridge data corresponding to the third set of gate inspection operations. If the second set of gate inspection operations and the third set of gate inspection operations fail to pass successfully, re-acquire the container number data corresponding to the second set of gate inspection operations and the weighbridge data corresponding to the third set of gate inspection operations. If all of the first set of gate inspection operations, the second set of gate inspection operations, and the third set of gate inspection operations fail to pass successfully, re-acquire the vehicle number data corresponding to the first set of gate inspection operations, and then re-acquire the container number data corresponding to the second set of gate inspection operations and the weighbridge data corresponding to the third set of gate inspection operations.

14. The intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards according to claim 11, characterized in that, In the case where at least one of the first set of gate inspection operations, the second set of gate inspection operations, and the third set of gate inspection operations fails to pass successfully, returning to re-execute S2 includes: In the case of the second partial integrated mode, If only one of the first set of gate inspection operations, the second set of gate inspection operations, and the third set of gate inspection operations fails to pass the gate inspection operation, re-acquire the vehicle number data and the container number data corresponding to the gate inspection operation that fails to pass. If the first group of gate inspection operations and the second group of gate inspection operations do not successfully pass the gate inspection operations, re-obtain the vehicle number data corresponding to the first group of gate inspection operations and the container number data corresponding to the second group of gate inspection operations; If the second group of gate inspection operations and the third group of gate inspection operations do not successfully pass the gate inspection operations, re-obtain the container number data corresponding to the second group of gate inspection operations, and then re-obtain the truck scale data corresponding to the third group of gate inspection operations; If the first group of gate inspection operations and the third group of gate inspection operations do not successfully pass the gate inspection operations, re-obtain the vehicle number data corresponding to the first group of gate inspection operations, and then re-obtain the truck scale data corresponding to the third group of gate inspection operations; If the first group of gate inspection operations, the second group of gate inspection operations, and the third group of gate inspection operations all do not successfully pass, re-obtain the vehicle number data corresponding to the first group of gate inspection operations, the container number data corresponding to the second group of gate inspection operations, and then re-obtain the truck scale data corresponding to the third group of gate inspection operations.

15. The intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards according to claim 11, characterized in that In the case where at least one of the first group of gate inspection operations, the second group of gate inspection operations, and the third group of gate inspection operations does not successfully pass, returning to re-execute S2 includes: In the case of the third part integrated mode, If only one of the first group of gate inspection operations, the second group of gate inspection operations, and the third group of gate inspection operations does not successfully pass the gate inspection operations, re-obtain the vehicle number data and the truck scale data corresponding to the gate inspection operation that did not successfully pass; If the first group of gate inspection operations and the second group of gate inspection operations do not successfully pass the gate inspection operations, re-obtain the vehicle number data corresponding to the first group of gate inspection operations, and then re-obtain the container number data corresponding to the second group of gate inspection operations; If the first group of gate inspection operations and the third group of gate inspection operations do not successfully pass the gate inspection operations, re-obtain the vehicle number data corresponding to the first group of gate inspection operations and the truck scale data corresponding to the third group of gate inspection operations; If the second group of gate inspection operations and the third group of gate inspection operations do not successfully pass the gate inspection operations, re-obtain the truck scale data corresponding to the third group of gate inspection operations, and then re-obtain the container number data corresponding to the second group of gate inspection operations; If the first group of gate inspection operations, the second group of gate inspection operations, and the third group of gate inspection operations all do not successfully pass, re-obtain the vehicle number data corresponding to the first group of gate inspection operations, the truck scale data corresponding to the third group of gate inspection operations, and then re-obtain the container number data corresponding to the second group of gate inspection operations.

16. The intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards according to claim 11, characterized in that, In the case where at least one of the first group of gate inspection operations, the second group of gate inspection operations, and the third group of gate inspection operations does not successfully pass, returning to re-execute S2 includes: In the case of the independent mode, If only one of the first group of gate inspection operations, the second group of gate inspection operations, and the third group of gate inspection operations does not successfully pass the gate inspection operations, re-obtain the vehicle number data corresponding to the gate inspection operation that did not successfully pass; If the first set of gate inspection operations and the second set of gate inspection operations do not successfully pass the gate inspection operations, re-obtain the vehicle number data corresponding to the first set of gate inspection operations, and then re-obtain the container number data corresponding to the second set of gate inspection operations; If the first set of gate inspection operations and the third set of gate inspection operations do not successfully pass the gate inspection operations, re-obtain the vehicle number data corresponding to the first set of gate inspection operations, and then re-obtain the truck scale data corresponding to the third set of gate inspection operations; If the second set of gate inspection operations and the third set of gate inspection operations do not successfully pass the gate inspection operations, re-obtain the truck scale data corresponding to the third set of gate inspection operations, and then re-obtain the container number data corresponding to the second set of gate inspection operations, or re-obtain the container number data corresponding to the second set of gate inspection operations, and then re-obtain the truck scale data corresponding to the third set of gate inspection operations; If the first set of gate inspection operations, the second set of gate inspection operations, and the third set of gate inspection operations all do not successfully pass, re-obtain the vehicle number data corresponding to the first set of gate inspection operations, then re-obtain the container number data corresponding to the second set of gate inspection operations, and then re-obtain the truck scale data corresponding to the third set of gate inspection operations, or re-obtain the vehicle number data corresponding to the first set of gate inspection operations, then re-obtain the truck scale data corresponding to the third set of gate inspection operations, and then re-obtain the container number data corresponding to the second set of gate inspection operations.

17. The intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards according to claim 3, characterized in that, In the full integrated mode, perform a second validity check on the vehicle number data, the container number data, and the truck scale data; In the at least one partial integrated mode or the independent mode, perform a second validity check on the vehicle number data, and then perform a second validity check on the container number data or the truck scale data.

18. The intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards according to claim 1, characterized in that The S7 further includes: the gate inspection list includes an electronic weighing list and an operation content list.

19. The intelligent gate inspection data integration and comprehensive evaluation method for railway freight yards according to claim 18, characterized in that The gate inspection method further includes: after the S7, generate an outbound list based on the inbound gate inspection data and the gate inspection list associated with the current vehicle, and further determine whether to allow the current vehicle to leave the yard based on the outbound gate inspection data and the outbound list.

20. An intelligent gate inspection data integration and comprehensive evaluation system for railway freight yards, characterized in that, Including: A deployment mode determination module configured to determine the deployment mode of the IoT device; An inbound gate inspection data acquisition module configured to acquire at least one of the vehicle number data, the container number data, and the truck scale data in the inbound gate inspection data based on the determined deployment mode; The gate inspection operation execution module is configured to respectively execute a first set of gate inspection operations corresponding to the vehicle number data, a second set of gate inspection operations corresponding to the container number data, and a third set of gate inspection operations corresponding to the weighbridge data based on at least one of the acquired vehicle number data, container number data, and weighbridge data. Among them, the first set of gate inspection operations includes at least one of data parsing, first validity verification, and logical determination. The second set of gate inspection operations includes at least one of data parsing, first validity verification, and logical determination. The third set of gate inspection operations includes at least one of data parsing, first validity verification, and logical determination; The association and binding module is configured to, when all the first set of gate inspection operations, the second set of gate inspection operations, and the third set of gate inspection operations are successfully passed, associate and bind the inbound gate inspection data corresponding to the deployment mode to the current vehicle; The second validity verification module is configured to perform at least one second validity verification based on at least one of the acquired vehicle number data, container number data, and weighbridge data, where the second validity verification module performs operations before or after the association and binding module performs operations; The vehicle inbound module is configured to allow the current vehicle to enter the site when the second validity verification is successfully passed for the first time; and The gate inspection list generation module is configured to generate a gate inspection list when all the second validity verifications are successfully passed, so that the current vehicle executes the operation content included in the gate inspection list.

21. An intelligent Internet of Things device, characterized in that, The intelligent gate inspection data integration and comprehensive evaluation system for railway freight yards described in claim 20 executes one or more of the intelligent gate inspection data integration and comprehensive evaluation methods for railway freight yards described in claims 1 to 19 based on the deployment mode of the IoT device.

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