A method for detecting the result of intelligent hump lifting

Abstract

The application discloses a kind of hump intelligent lifting result detection methods, specifically includes the following steps: S1, obtain the car number needing to be decoded and the position A of the car needing to be decoded in the region, S2, obtain the expected decoding position B by accessing AITG system, S3, the car position A needing to be decoded obtained in step S1 is compared with the expected decoding position B obtained from step S2, S4, obtain the speed X of the car not being decoded and the speed Y of the car needing to be decoded, S5, judge, S6, lifting confirmation, the application relates to the technical field of detection of marshalling station lifting.The hump intelligent lifting result detection method increases key equipment such as laser radar, and interfaces the existing system of marshalling station, obtains data therefrom, realizes that robot replaces artificial detection on lifting result by AI algorithm, and realizes automatic feedback of detection information, to save artificial, shorten detection feedback time, reduce the probability of mechanical injury of worker.

Description

Technical Field

[0001] This invention relates to the field of hook lifting detection technology in marshalling yards, specifically to an intelligent hook lifting result detection method for hump yards. Background Technology

[0002] With the continuous growth of freight volume, the uncoupling and dismantling process at marshalling yards has become an important factor restricting the improvement of marshalling yard capacity. Currently, most uncoupling operations are completed manually, usually by two people, one responsible for uncoupling and the other for monitoring.

[0003] The coupling monitoring process is as follows: After the coupling personnel complete the coupling action, as the train continues to move, depending on the number of cars to be uncoupled, uncoupling will occur near the hump. The uncoupled cars will slide at an increasingly faster speed, thus separating from the uncoupled train. The coupling monitoring personnel are responsible for monitoring whether the coupling rods of the uncoupled cars have returned to their original positions and whether they can be successfully uncoupled. If they cannot be successfully uncoupled, the coupling monitoring personnel need to perform a second coupling. If they still cannot be coupled, the shunting foreman needs to be notified for further operations. Therefore, manual operation has the following drawbacks:

[0004] 1. It requires a dedicated person to inspect the lifting results, which wastes manpower.

[0005] 2. The judgment of the hook lifting result involves subjective factors.

[0006] 3. There is a lag in the feedback of test results.

[0007] 4. The inspection process is carried out simultaneously with the train's movement, which often results in the operator moving with the train, making them susceptible to mechanical injury during the process. Summary of the Invention

[0008] (a) Technical problems to be solved

[0009] To address the shortcomings of existing technologies, this invention provides an intelligent method for detecting the lifting results of hump yard hooks. By adding key equipment such as lidar and connecting to the existing system of the marshalling yard to acquire data, the robot uses AI algorithms to replace manual inspection of the lifting results and automatically provides feedback on the inspection information. This saves manpower, shortens the inspection feedback time, and reduces the probability of workers suffering mechanical injuries.

[0010] (II) Technical Solution

[0011] To achieve the above objectives, the present invention provides the following technical solution: a method for detecting the results of intelligent hook lifting of camel humps, specifically comprising the following steps:

[0012] S1. Obtain the car number to be de-stitched from the DCD-TH system, and obtain the location A of the car to be de-stitched in each work area through the lidar equipment in each work area;

[0013] S2. Obtain the expected decompilation location B by accessing the AITG system;

[0014] S3. Compare the car position A that needs to be de-wrapped obtained in step S1 with the expected de-wrapping position B obtained in step S2. If the position of the target car does not reach the expected de-wrapping position, that is, AB is not within the ±10cm range, return to step S1 to re-detect.

[0015] S4. When the target car reaches the expected uncoupling position, that is, AB is not within ±10cm, the speed X of the uncoupling car and the speed Y of the car to be uncoupling are detected respectively, and the speed values ​​are obtained from the STP system.

[0016] S5. First, determine whether the speed X of the undecoupled car is consistent with the speed obtained from the STP system. Then, determine the magnitude of the speed X of the undecoupled car and the speed Y of the car to be decoupled, i.e., whether YX > 0. Also, determine whether the speed difference between the speed Y of the car to be decoupled and the speed X of the undecoupled car is increasing.

[0017] S6. If the speed X of the uncoupling car is consistent with the speed obtained from the STP system, and YX > 0 and YX shows an upward trend, then the uncoupling is successful; otherwise, the uncoupling fails and an alarm is displayed on the system interface.

[0018] Preferably, in step S1, the DCD-TH system is a shunting order information management system already deployed at the marshalling yard, used to obtain shunting operation notifications.

[0019] Preferably, in step S4, the STP system is a wireless shunting locomotive signaling and monitoring system already deployed at the marshalling yard, used to obtain the precise speed of the train from this system.

[0020] Preferably, in step S2, the AITG system is a hump intelligent hook lifting system, used to obtain the hook lifting completion signal and the uncoiling position signal from the system.

[0021] Preferably, the lidar device in step S1 is equipped with an AI algorithm, which is used by the robot to replace manual inspection of the hook lifting result.

[0022] Preferably, the intelligent hook lifting result detection method for the hump is controlled by an intelligent hook lifting detection system, which communicates with the DCD-TH system, STP system and AITG system respectively through a jump server, and communicates with the lidar equipment through a VPN encrypted channel.

[0023] Preferably, the intelligent hook detection system includes a control server, a user server, a database server, an industrial switch, and a 5G router.

[0024] Preferably, the network communication of the VPN encrypted channel uses RSA dual-key reversible encryption, so that data leakage will not result in reverse decryption.

[0025] (III) Beneficial Effects

[0026] This invention provides an intelligent hump car uncoupling result detection method. Compared with the prior art, it has the following advantages: The intelligent hump car uncoupling result detection method specifically includes the following steps: S1, obtaining the car number to be uncoupled from the DCD-TH system, and obtaining the position A of the car to be uncoupled in each working area through the lidar equipment of each working area; S2, obtaining the expected uncoupling position B by accessing the AITG system; S3, comparing the position A of the car to be uncoupled obtained in step S1 with the expected uncoupling position B obtained in step S2. If the position of the target car has not reached the expected uncoupling position, that is, AB is not within the ±10cm range, then return to step S1 to re-detect; S4, if the position of the target car has reached the expected uncoupling position, that is, AB is not within the ±10cm range, then detect the speed X of the uncoupled car and the speed Y of the car to be uncoupled respectively, and obtain the speed value from the STP system; S5, firstly, determine whether the speed X of the uncoupled car is compared with the speed Y obtained from the STP system. If the speeds are consistent, then determine the magnitude of the speed X of the un-decoupled car and the speed Y of the car to be decoupled, i.e., whether YX > 0, and determine whether the speed difference between the speed Y of the car to be decoupled and the speed X of the un-decoupled car is increasing. S6. If the speed X of the un-decoupled car is consistent with the speed obtained from the STP system, and YX > 0 and YX is increasing, then the uncoupling is successful; otherwise, the uncoupling fails, and an alarm is displayed on the system interface. By adding key equipment such as laser radar and connecting to the existing system of the marshalling yard to obtain data, the robot can replace manual inspection of the uncoupling results through AI algorithms and automatically provide feedback on the inspection information. This saves manpower, shortens the inspection feedback time, reduces the probability of mechanical injury to workers, and reduces the number of personnel for uncoupling inspection. Because the number of operators is reduced, the mechanical injury of personnel is greatly reduced, effectively improving the efficiency of hump uncoupling result inspection. Attached Figure Description

[0027] Figure 1 This is a flowchart of the intelligent hook lifting result detection method for camel hump of the present invention;

[0028] Figure 2 This is an architecture diagram of the intelligent hook detection system of the present invention;

[0029] Figure 3 This is a schematic diagram of the device installation location in an embodiment of the present invention. Detailed Implementation

[0030] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0031] Please see Figure 1-3 The present invention provides three technical solutions: a method for detecting the result of intelligent hook lifting of a hump, specifically including the following embodiments:

[0032] Example 1

[0033] A method for detecting the results of intelligent hook lifting of camel humps specifically includes the following steps:

[0034] S1. Obtain the car number to be de-stitched from the DCD-TH system. Obtain the location A of the car to be de-stitched in each work area through the lidar equipment in each work area. The DCD-TH system is a shunting order information management system that has been deployed in the marshalling yard and is used to obtain shunting operation notifications.

[0035] S2. Obtain the expected uncoiling position B by accessing the AITG system. The AITG system is a camel hump intelligent hook lifting system, used to obtain the hook lifting completion signal and uncoiling position signal from the system.

[0036] S3. Compare the car position A that needs to be de-wrapped obtained in step S1 with the expected de-wrapping position B obtained in step S2. If the position of the target car does not reach the expected de-wrapping position, that is, AB is not within the ±10cm range, return to step S1 to re-detect.

[0037] S4. When the target car reaches the expected disassembly position, i.e. AB is not within ±10cm, the speed X of the undisassembled car and the speed Y of the car to be disassembled are detected respectively, and the speed values ​​are obtained from the STP system. The STP system is the wireless shunting locomotive signal and monitoring system already deployed in the marshalling yard, used to obtain the accurate speed of the train from the system.

[0038] S5. First, determine whether the speed X of the undecoupled car is consistent with the speed obtained from the STP system. Then, determine the magnitude of the speed X of the undecoupled car and the speed Y of the car to be decoupled, i.e., whether YX > 0. Also, determine whether the speed difference between the speed Y of the car to be decoupled and the speed X of the undecoupled car is increasing.

[0039] S6. If the speed X of the uncoupling car is consistent with the speed obtained from the STP system, and YX > 0 and YX shows an upward trend, then the uncoupling is successful; otherwise, the uncoupling fails and an alarm is displayed on the system interface.

[0040] Example 2

[0041] A method for detecting the results of intelligent hook lifting of camel humps specifically includes the following steps:

[0042] S1. Obtain the car number to be decoupled from the DCD-TH system. Obtain the location A of the car to be decoupled in each work area through the lidar equipment in each work area. The DCD-TH system is a shunting order information management system that has been deployed in the marshalling yard. It is used to obtain shunting operation notices. The lidar equipment has AI algorithms recorded in it. It is used by robots to replace manual inspection of the hook-up results through AI algorithms.

[0043] S2. Obtain the expected uncoiling position B by accessing the AITG system. The AITG system is a camel hump intelligent hook lifting system, used to obtain the hook lifting completion signal and uncoiling position signal from the system.

[0044] S3. Compare the car position A that needs to be de-wrapped obtained in step S1 with the expected de-wrapping position B obtained in step S2. If the position of the target car does not reach the expected de-wrapping position, that is, AB is not within the ±10cm range, return to step S1 to re-detect.

[0045] S4. When the target car reaches the expected disassembly position, i.e. AB is not within ±10cm, the speed X of the undisassembled car and the speed Y of the car to be disassembled are detected respectively, and the speed values ​​are obtained from the STP system. The STP system is the wireless shunting locomotive signal and monitoring system already deployed in the marshalling yard, used to obtain the accurate speed of the train from the system.

[0046] S5. First, determine whether the speed X of the undecoupled car is consistent with the speed obtained from the STP system. Then, determine the magnitude of the speed X of the undecoupled car and the speed Y of the car to be decoupled, i.e., whether YX > 0. Also, determine whether the speed difference between the speed Y of the car to be decoupled and the speed X of the undecoupled car is increasing.

[0047] S6. If the speed X of the uncoupling car is consistent with the speed obtained from the STP system, and YX > 0 and YX shows an upward trend, then the uncoupling is successful; otherwise, the uncoupling fails and an alarm is displayed on the system interface.

[0048] Example 3

[0049] A method for detecting the results of intelligent hook lifting of camel humps specifically includes the following steps:

[0050] S1. Obtain the car number to be decoupled from the DCD-TH system. Obtain the location A of the car to be decoupled in each work area through the lidar equipment in each work area. The DCD-TH system is a shunting order information management system that has been deployed in the marshalling yard. It is used to obtain shunting operation notices. The lidar equipment has AI algorithms recorded in it. It is used by robots to replace manual inspection of the hook-up results through AI algorithms.

[0051] S2. Obtain the expected uncoiling position B by accessing the AITG system. The AITG system is a camel hump intelligent hook lifting system, used to obtain the hook lifting completion signal and uncoiling position signal from the system.

[0052] S3. Compare the car position A that needs to be de-wrapped obtained in step S1 with the expected de-wrapping position B obtained in step S2. If the position of the target car does not reach the expected de-wrapping position, that is, AB is not within the ±10cm range, return to step S1 to re-detect.

[0053] S4. When the target car reaches the expected disassembly position, i.e. AB is not within ±10cm, the speed X of the undisassembled car and the speed Y of the car to be disassembled are detected respectively, and the speed values ​​are obtained from the STP system. The STP system is the wireless shunting locomotive signal and monitoring system already deployed in the marshalling yard, used to obtain the accurate speed of the train from the system.

[0054] S5. First, determine whether the speed X of the undecoupled car is consistent with the speed obtained from the STP system. Then, determine the magnitude of the speed X of the undecoupled car and the speed Y of the car to be decoupled, i.e., whether YX > 0. Also, determine whether the speed difference between the speed Y of the car to be decoupled and the speed X of the undecoupled car is increasing.

[0055] S6. If the speed X of the uncoupling car is consistent with the speed obtained from the STP system, and YX > 0 and YX shows an upward trend, then the uncoupling is successful; otherwise, the uncoupling fails and an alarm is displayed on the system interface.

[0056] In this embodiment of the invention, the intelligent hook-lifting result detection method for hump yards is controlled by an intelligent hook-lifting detection system. This system connects and communicates with the DCD-TH, STP, and AITG systems via a jump server. It also communicates with the lidar equipment via a VPN encrypted channel. The intelligent hook-lifting detection system includes a control server, a user server, a database server, an industrial switch, and a 5G router. The servers are mutually redundantly clustered to ensure redundant data storage. Operating system port blocking and firewall access are implemented. The VPN encrypted channel uses RSA dual-key reversible encryption, preventing reverse decryption even if data is leaked. The lidar measures the position of the target carriage and the vehicle's speed. One lidar is installed in each of the three operating areas: large, medium, and small trainsets.

[0057] Furthermore, any content not described in detail in this specification is existing technology known to those skilled in the art.

[0058] In summary, this invention, by adding key equipment such as lidar and connecting to the existing systems of the marshalling yard to acquire data, enables robots to replace manual labor in inspecting hook lifting results using AI algorithms and to automatically provide feedback on the inspection information. This saves manpower, shortens inspection feedback time, reduces the probability of mechanical injuries to workers, and reduces the number of personnel required for hook lifting inspection. Because of the reduction in the number of operators, the risk of mechanical injuries to personnel is significantly reduced, effectively improving the efficiency of hump hook lifting result inspection.

[0059] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0060] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A method for detecting the results of intelligent hook lifting of camel humps, characterized in that: Specifically comprising the following steps: S1, obtaining the car number that needs to be uncoupled from the DCD-TH system, obtaining the position A of the car that needs to be uncoupled in the region through the laser radar equipment of each work area, the DCD-TH system is the shunting order information management system deployed in the marshalling station, which is used to obtain the shunting order; S2, obtaining the expected uncoupling position B by accessing the AITG system, the AITG system is the intelligent peak hook system, which is used to obtain the hooking completion signal and the uncoupling position signal from the system; S3, comparing the position A of the car that needs to be uncoupled obtained in step S1 with the expected uncoupling position B obtained in step S2, when the position of the target car does not reach the expected uncoupling position, that is, A-B is not within the range of ±10cm, return to step S1 to re-detect; S4, when the position of the target car reaches the expected uncoupling position, that is, A-B is within the range of ±10cm, the uncoupled car speed X and the uncoupled car speed Y are detected respectively, and the speed value is obtained from the STP system; S5, first, judge whether the uncoupled car speed X is consistent with the speed obtained from the STP system, then judge the size between the uncoupled car speed X and the uncoupled car speed Y, that is, Y-X is greater than 0, and judge whether the speed difference between the uncoupled car speed Y and the uncoupled car speed X is in an upward trend; S6, when the uncoupled car speed X is consistent with the speed obtained from the STP system, and Y-X is greater than 0 and Y-X is in an upward trend, it means that the hooking is successful, otherwise the hooking fails, and the system interface alarm prompt.

2. The method according to claim 1, characterized in that: The STP system in step S4 is a wireless shunting locomotive signal and monitoring system deployed in the marshalling station, which is used to obtain the accurate speed of the train from the system.

3. The method according to claim 1, characterized in that: The laser radar equipment in step S1 has AI algorithm recorded therein, which is used for the robot to detect the hooking result by AI algorithm instead of manual detection.

4. The method according to claim 1, characterized in that: The said intelligent peak hook result detection method is controlled by an intelligent hook detection system, and the intelligent hook detection system is connected and communicated with the DCD-TH system, the STP system and the AITG system through the catwalk machine server, and the intelligent hook detection system is connected and communicated with the laser radar equipment through the VPN encryption channel.

5. The method according to claim 4, characterized in that: The intelligent hook detection system includes a control server, a user server, a database server, an industrial switch and a 5G router.

6. The method according to claim 4, characterized in that: The network communication of the VPN encryption channel adopts RSA double-key reversible encryption, and data leakage cannot be reversed decrypted.

Images