Turnout operation practical training examination system and method and host equipment
By using close-range communication detection equipment and image acquisition technology in the switch operation training assessment system, the results of switch operation training assessment are automatically generated, which solves the problem of manual scoring in the existing technology that affects the fairness of assessment, and improves the training efficiency and objectivity of the results.
Patent Information
- Application Number
- CN202411995914.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-31
- Publication Date
- 2025-03-18
AI Technical Summary
In the existing technology, in the practical training and assessment of switch operations in the field of urban rail transit, some operations still require manual scoring, which affects the objective and fairness of the assessment results.
A switch operation training and assessment system is adopted, including a spare cabinet, an inventory workbench, a host equipment, a camera and a physical switch platform. The first close-range communication detection device and the second close-range communication detection device are used to determine the spare product acquisition and inventory list, and combine wearable images, switch acquisition images and hardware switch status to automatically generate the training and assessment results.
It improves the efficiency of practical training, enhances the objectivity and fairness of the assessment results, and reduces the dependence on manual scoring.
Smart Images

Figure CN119649665A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of practical training and assessment, and in particular to a turnout operation practical training and assessment system, method and host equipment. Background Art
[0002] In the field of urban rail transit, daily operations and emergency response processes must be carried out in accordance with standard plans and emergency plan processing procedures. Standard operations require operations on various software and hardware equipment and joint control of multiple positions.
[0003] In the simulation skill training equipment for urban rail transit operation management, most of the assessment points have been automatically scored through the acquisition of software and hardware operations, voice control and other technical means, but some operations are still scored manually. Among them, for the process of manual turnout operation, the standard operation process involves taking tools from the spare cabinet, counting tools, wearing reflective vests, performing manual turnout operations in the lower track section, reporting on the on-site situation with station personnel, placing red flashing lights, and installing hook locks. However, the automated identification assessment training is still limited to voice control and the acquisition of hardware turnout status related parts, and other parts still require manual scoring, which affects the objectivity and fairness of the assessment results. Summary of the invention
[0004] The purpose of the present invention is to provide a turnout operation training and assessment system, method and host device to address the deficiencies in the above-mentioned prior art, so as to determine the spare parts collection list and spare parts inventory list through a first short-range communication detection device and a second short-range communication detection device, and automatically generate the training and assessment results for turnout operations for the personnel to be assessed in combination with the wearable collected images, the turnout collected images and the hardware turnout status, thereby improving the training efficiency and the objectivity and fairness of the training and assessment.
[0005] To achieve the above purpose, the technical solution adopted in the embodiment of the present application is as follows:
[0006] In a first aspect, an embodiment of the present application provides a turnout operation training and assessment system, the turnout operation training and assessment system comprising: a spare parts cabinet, an inventory workbench, a host device, a first camera, a second camera, and a physical turnout platform;
[0007] The spare parts cabinet is used to place spare parts, and a first short-distance communication detection device is installed in the spare parts cabinet to identify the spare parts in the spare parts cabinet, obtain a spare parts removal list, and also to identify the spare parts in the spare parts cabinet to obtain a spare parts return list; the counting workbench is used to place and take spare parts, and a second short-distance communication detection device is installed on the counting workbench to count the taken spare parts and generate a spare parts inventory list;
[0008] The first camera is arranged at a preset position corresponding to a preset wear assessment area to collect wear images of the person to be assessed, and the second camera is arranged at a preset position of a preset turnout assessment area to collect turnout images of the physical turnout platform;
[0009] The host device is communicatively connected to the first short-range communication detection device, the second short-range communication detection device, the first camera, the second camera and the driving and mining module of the physical turnout platform to generate the training assessment results of the personnel to be assessed on the turnout operation based on the spare parts collection list, the spare parts inventory list, the wearable captured images, the turnout captured images, the hardware turnout status and the spare parts return list.
[0010] In an optional implementation, the first short-range communication detection device and the second short-range communication detection device are both radio frequency identification readers / writers.
[0011] In an optional implementation, the turnout operation training and assessment system further includes: a voice acquisition device, wherein the voice acquisition device is communicatively connected to the host device to collect the voice of the person to be assessed when counting spare parts.
[0012] In a second aspect, the embodiment of the present application provides a turnout operation training and assessment method, which is applied to a host device in the turnout operation training and assessment system. The method includes:
[0013] Obtain the spare parts list of the personnel to be assessed collected by the first short-range communication detection device;
[0014] Obtaining a spare parts inventory of the person to be assessed collected by a second close-range detection device;
[0015] Obtaining the wearing image of the person to be assessed captured by the first camera;
[0016] Acquire a turnout acquisition image of the physical turnout platform acquired by the second camera;
[0017] Obtain the hardware turnout status collected by the driving and mining module of the physical turnout platform;
[0018] Obtaining the spare parts return list of the person to be assessed collected by the first short-range communication detection device;
[0019] Based on the spare parts picking list, the spare parts inventory list, the wearable captured images, the turnout captured images, the hardware turnout status and the spare parts returning list, the practical training assessment results for the turnout operation of the person to be assessed are generated.
[0020] In an optional implementation manner, the generating of the training assessment result of the personnel to be assessed on the turnout operation based on the spare parts taking list, the spare parts inventory list, the wearable captured images, the turnout captured images, the hardware turnout status and the spare parts returning list includes:
[0021] Based on the spare parts taking list, the spare parts inventory list and the spare parts returning list, respectively generating a spare parts taking assessment result, a spare parts inventory assessment result and a spare parts returning assessment result for the person to be assessed;
[0022] Based on the spare parts picking list, the spare parts inventory list and the wearing collection image, generating the wearing assessment result of the person to be assessed;
[0023] Based on the spare parts picking list, the spare parts inventory list, the turnout acquisition image and the hardware turnout status, generating the turnout operation assessment result of the person to be assessed;
[0024] The practical training assessment result is generated based on the spare parts taking assessment result, the spare parts inventory assessment result, the spare parts returning assessment result, the wearing assessment result and the turnout operation assessment result.
[0025] In an optional implementation manner, the generating of the wear assessment result of the person to be assessed based on the spare parts picking list, the spare parts inventory list and the wear collection image includes:
[0026] Performing reflective vest wearing recognition on the wearing collection image to obtain reflective vest wearing status information;
[0027] The wearing assessment result is generated according to the wearing status information of the reflective vest, the spare parts picking list, and the spare parts inventory list.
[0028] In an optional implementation, the performing reflective vest wearing recognition on the wearing collection image to obtain reflective vest wearing status information includes:
[0029] Performing human skeleton key recognition and human body contour recognition on the wearable collected images to obtain the posture information of the person to be assessed and the human body contour position;
[0030] Performing reflective vest recognition on the worn captured image to obtain the reflective vest shape and the reflective vest contour position;
[0031] According to the relative position of the human body contour position and the reflective vest contour position, an initial reflective vest wearing state is obtained;
[0032] The reflective vest wearing state information is generated according to the initial reflective vest wearing state and the posture information.
[0033] In an optional implementation manner, generating the turnout operation assessment result of the person to be assessed based on the spare parts collection list, the spare parts inventory list, the turnout acquisition image and the hardware turnout status includes:
[0034] Based on the spare parts picking list and the spare parts inventory list, obtaining the carrying status of the red flashing light corresponding to the red flashing light placement link;
[0035] Performing red flashing light recognition on the turnout captured image to obtain the placement status of the red flashing light;
[0036] Based on the carrying state and the placement state, generating a placement assessment result of the red flashing light placement link;
[0037] Based on the spare parts collection list and the spare parts inventory list, determine the spare parts status of the hook lock in the process of installing the hook lock;
[0038] Performing hook recognition on the turnout acquisition image to obtain a hook acquisition state;
[0039] The turnout operation assessment result is obtained according to the placement assessment result, the hook spare status, the hook collection status and the hardware turnout status.
[0040] In an optional embodiment, the determining the spare parts status of the hook in the process of installing the hook lock based on the spare parts collection list and the spare parts inventory list includes:
[0041] Based on the spare parts collection list and the spare parts inventory list, determine the spare parts status of the lock hook, the spare parts status of the lock hook lock and the spare parts status of the lock key in the process of installing the hook lock; the lock hook spare parts status includes: the spare parts status of the lock hook, the spare parts status of the lock hook lock and the spare parts status of the lock key;
[0042] The step of performing hook recognition on the turnout acquisition image to obtain a hook acquisition state includes:
[0043] The hook recognition is performed on the turnout acquisition image to obtain the position of the hook device and the position where the hook device is locked. The hook acquisition state includes: the position of the hook device and the position where the hook device is locked.
[0044] In the third aspect, an embodiment of the present application also provides a host device, comprising: a processor, a storage medium and a bus, wherein the storage medium stores program instructions executable by the processor, and when the host device is running, the processor communicates with the storage medium through the bus, and the processor executes the program instructions to perform the steps of the turnout operation training and assessment method as described in any one of the second aspects.
[0045] In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the turnout operation training and assessment method as described in any one of the second aspects are executed.
[0046] The beneficial effects of this application are:
[0047] The embodiment of the present application provides a turnout operation training and assessment system, method and host device, the turnout operation training and assessment system includes: a spare parts cabinet, an inventory workbench, a host device, a first camera, a second camera and a physical turnout platform; wherein the spare parts cabinet is used to place spare parts, and a first short-range communication detection device is installed in the spare parts cabinet to identify the spare parts in the spare parts cabinet, obtain a spare parts removal list, and also to identify the spare parts in the spare parts cabinet to return and obtain a spare parts return list; the inventory workbench is used to place and take spare parts, and a second short-range communication detection device is installed on the inventory workbench to count the spare parts taken. , generate a spare parts inventory list; the first camera is set at a preset position corresponding to the preset wear assessment area to collect the wear collection image of the person to be assessed, and the second camera is set at a preset position of the preset turnout assessment area to collect the turnout collection image of the physical turnout platform; the host device is connected to the first short-range communication detection device, the second short-range communication detection device, the first camera, the second camera and the drive module of the physical turnout platform to generate the training assessment results of the person to be assessed for the turnout operation based on the spare parts collection list, the spare parts inventory list, the wear collection image, the turnout collection image, the hardware turnout status and the spare parts return list. The spare parts collection list and the spare parts inventory list are determined by the first short-range communication detection device and the second short-range communication detection device, and the training assessment results of the person to be assessed for the turnout operation are automatically generated in combination with the wear collection image, the turnout collection image and the hardware turnout status, so as to improve the training efficiency and the objectivity and fairness of the training assessment. BRIEF DESCRIPTION OF THE DRAWINGS
[0048] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.
[0049] Figure 1 A schematic diagram of the structure of a turnout operation training and assessment system provided in an embodiment of the present application;
[0050] Figure 2 One of the flow charts of a turnout operation training and assessment method provided in an embodiment of the present application;
[0051] Figure 3 A second flow chart of a turnout operation training and assessment method provided in an embodiment of the present application;
[0052] Figure 4 A third flow chart of a turnout operation training and assessment method provided in an embodiment of the present application;
[0053] Figure 5 A fourth flow chart of a turnout operation training and assessment method provided in an embodiment of the present application;
[0054] Figure 6 A fifth flow chart of a turnout operation training and assessment method provided in an embodiment of the present application;
[0055] Figure 7 A schematic diagram of the functional modules of a turnout operation training and assessment device provided in an embodiment of the present application;
[0056] Figure 8 A schematic diagram of a host device provided in an embodiment of the present application. DETAILED DESCRIPTION
[0057] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments.
[0058] Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the present application for which protection is sought, but merely represents selected embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application.
[0059] In the description of the present application, it should be noted that if the terms "upper", "lower", etc. appear, the orientation or position relationship indicated is based on the orientation or position relationship shown in the drawings, or is the orientation or position relationship in which the product of the application is usually placed when used. It is only for the convenience of describing the present application and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present application.
[0060] In addition, the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.
[0061] It should be noted that, in the absence of conflict, the features in the embodiments of the present application may be combined with each other.
[0062] In order to realize the automated training and assessment of turnout operation and improve the training efficiency, the present application embodiment provides a turnout operation training and assessment system. Figure 1 A schematic diagram of the structure of a turnout operation training and assessment system provided in an embodiment of the present application is shown in FIG. Figure 1 As shown, the turnout operation training and assessment system includes: a spare parts cabinet, an inventory workbench, a host device, a first camera, a second camera and a physical turnout platform.
[0063] Among them, the spare cabinet is used to place spare parts, and a first short-range communication detection device is installed in the spare cabinet to identify the spare parts in the spare cabinet to obtain a spare parts removal list, and is also used to identify the spare parts in the spare cabinet to obtain a spare parts return list; the inventory workbench is used to place the spare parts to be taken out, and a second short-range communication detection device is installed on the inventory workbench to list the spare parts to be taken out and generate a spare parts inventory list.
[0064] Specifically, the spare parts placed in the spare parts cabinet may include: emergency clothing for work, walkie-talkies, signal lights, lock keys, hook locks and wrenches, hook lock locks and keys, hand cranks, red flashing lights, reflective vests, spare parts bags, etc. The spare parts bags are convenient for the personnel to be assessed to carry the spare parts required for the turnout operation. Since the first short-range communication detection equipment is installed in the spare parts cabinet, when the turnout operation training assessment begins, after the personnel to be assessed take the spare parts required for the turnout operation from the spare parts cabinet, the first short-range communication detection equipment can identify the spare parts remaining in the spare parts cabinet, thereby determining the spare parts removal list. When the personnel to be assessed puts the taken spare parts back into the spare parts cabinet, the first short-range communication detection equipment identifies the spare parts placed in the spare parts cabinet, thereby determining the spare parts return list.
[0065] The personnel to be assessed place the taken spare parts on the counting workbench. Since the counting workbench is equipped with a second short-range communication detection device, the second short-range communication detection device can count and identify the taken spare parts placed on the counting workbench, thereby determining the spare parts inventory list.
[0066] Optionally, the first short-distance communication detection device and the second short-distance communication detection device are both radio frequency identification readers / writers.
[0067] Specifically, the first short-range communication detection device and the second short-range communication detection device are both radio frequency identification readers / writers, i.e., RFID readers / writers, and RFID tags are installed on the spare parts, so that the RFID readers / writers can determine the spare parts placed in the spare parts cabinet and the spare parts placed on the inventory workbench by identifying the RFID tags on the spare parts. There is no limit on the number of the first short-range communication detection device and the second short-range communication detection device. The number of the first short-range communication detection device is determined according to the size and material of the spare parts cabinet. Similarly, the number of the second short-range communication detection device is determined according to the size of the inventory workbench.
[0068] Due to the different shapes, materials, and RFID tag sensing sensitivities of spare parts, corresponding RFID tags are selected according to the types of spare parts. For example, large and iron items such as hand cranks and red flashing lights use cable tie RFID tags, and spare parts packages use flexible RFID tags. Then, according to the preset definition rules and numbers, the RFID tag of each spare part is written with a unique identifier. The RFID reader recognizes the RFID tag, records the corresponding identifier, and generates a list.
[0069] It should be noted that the first short-range communication detection device and the second short-range communication detection device may also be near field communication (NFC) detection devices, and NFC tags are installed on the spare parts, so as to identify the NFC tags of the placed spare parts and generate a list.
[0070] The first camera is set at a preset position corresponding to the preset wear assessment area to collect wear images of the person to be assessed, and the second camera is set at a preset position of the preset turnout assessment area to collect turnout images of the physical turnout platform.
[0071] It should be noted that the present embodiment does not limit the number of the first camera and the second camera. For example, the first camera is used to collect images of the wear of the person to be assessed. If a first camera is set on the left and right sides of the preset position corresponding to the preset wear assessment area, the first camera set on the left side is used to collect the front of the person to be assessed, and the first camera set on the right side is used to collect the back of the person to be assessed. If a first camera is set on the left side at the preset position corresponding to the preset wear assessment area, the first camera set on the left side is used to collect the front and back of the person to be assessed.
[0072] Specifically, the preset wearing assessment area is used for the person to be assessed to wear a reflective vest. When the person to be assessed wears a reflective vest and stands in the preset wearing assessment area, the first camera set at the preset position corresponding to the preset wearing assessment area collects the wearing collection image of the person to be assessed. The second camera set at the preset position of the preset turnout assessment area collects the turnout collection image of the physical turnout platform.
[0073] The host device is communicatively connected to the first short-range communication detection device, the second short-range communication detection device, the first camera, the second camera and the driving and mining module of the physical turnout platform to generate a practical training assessment result for the personnel to be assessed on the turnout operation based on the spare parts collection list, the spare parts inventory list, the wearable captured images, the turnout captured images, the hardware turnout status and the spare parts return list.
[0074] Specifically, the host device communicates with the first short-distance communication detection device, the second short-distance communication detection device and the driving and mining module hardware of the physical turnout platform, and the host device builds a local area network with the first camera and the second camera to realize network communication.
[0075] Taking the example that both the first short-range communication detection device and the second short-range communication detection device are radio frequency identification readers and writers, the host device includes: an image recognition module, a signal receiving module, a turnout operation assessment module and a radio frequency identification module.
[0076] The radio frequency identification module in the host device processes the spare parts pick-up list and spare parts return list transmitted by the first short-distance communication detection device, the radio frequency identification module also processes the spare parts inventory list transmitted by the second short-distance communication detection device, the image recognition module processes the wearable acquisition image transmitted by the first camera, the image recognition module also processes the turnout acquisition image transmitted by the second camera, and the signal receiving module processes the hardware turnout status transmitted by the driving module of the physical turnout platform. Finally, the turnout operation assessment module obtains the practical training assessment results of the personnel to be assessed on turnout operations based on the preset assessment rules and combined with the processing results of the image recognition module, the signal receiving module and the radio frequency identification module.
[0077] Optionally, the turnout operation training and assessment system further includes: a voice collection device, the voice collection device is communicatively connected to the host device to collect the voice of the personnel to be assessed in counting spare parts.
[0078] Among them, the voice collection device can be a physical voice collection device or a wireless voice collection device. If the voice collection device is a physical voice collection device, it can be installed on the inventory workbench to collect the spare parts inventory voice of the person to be assessed.
[0079] Specifically, when the person to be assessed places the spare parts on the inventory workbench, he / she needs to display each spare part and say the name of the spare part on display. The voice collection device collects the voice of the person to be assessed and sends it to the host device. The host device determines whether the description of each spare part in the voice of the person to be assessed is correct, which is also used as one of the judgments for the final training assessment result of the person to be assessed on turnout operation.
[0080] In summary, the embodiment of the present application provides a turnout operation training and assessment system, which includes: a spare parts cabinet, an inventory workbench, a host device, a first camera, a second camera and a physical turnout platform; wherein the spare parts cabinet is used to place spare parts, and a first short-range communication detection device is installed in the spare cabinet to pick up and identify the spare parts in the spare parts cabinet to obtain a spare parts removal list, and is also used to put back and identify the spare parts in the spare parts cabinet to obtain a spare parts return list; the inventory workbench is used to place and take up spare parts, and a second short-range communication detection device is installed on the inventory workbench to count the taken spare parts, and the production The first camera is set at a preset position corresponding to the preset wear assessment area to collect the wear collection image of the person to be assessed, and the second camera is set at a preset position of the preset turnout assessment area to collect the turnout collection image of the physical turnout platform; the host device is connected to the first short-distance communication detection device, the second short-distance communication detection device, the first camera, the second camera and the drive module of the physical turnout platform to generate the training assessment results of the person to be assessed for the turnout operation based on the spare parts collection list, the spare parts inventory list, the wear collection image, the turnout collection image, the hardware turnout status and the spare parts return list. The spare parts collection list and the spare parts inventory list are determined by the first short-distance communication detection device and the second short-distance communication detection device, and the training assessment results of the person to be assessed for the turnout operation are automatically generated in combination with the wear collection image, the turnout collection image and the hardware turnout status, so as to improve the training efficiency and the objectivity and fairness of the training assessment.
[0081] The present application also provides a turnout operation training and assessment method, which is applied to a host device in a turnout operation training and assessment system. Figure 2 This is one of the flow charts of a turnout operation training and assessment method provided in the embodiment of the present application. Figure 2 As shown, the method includes:
[0082] S101. Obtain a list of spare parts for the personnel to be assessed collected by a first short-range communication detection device.
[0083] In this embodiment, after the turnout operation training assessment begins, the person to be assessed needs to take the spare parts required for the turnout operation training assessment from the spare parts cabinet. Since the spare parts cabinet is installed with a first short-range communication detection device, and the spare parts placed in the spare parts cabinet are all equipped with labels, when the person to be assessed takes the spare parts from the spare parts cabinet, the first short-range communication detection device identifies the labels on the spare parts currently in the spare parts cabinet, determines the spare parts currently placed in the spare parts cabinet, and thus can determine the spare parts taken, generate a spare parts taking list, and transmit it to the host device, so that the host device can obtain the spare parts taking list of the person to be assessed collected by the first short-range communication detection device.
[0084] S102, obtaining a second close-range inspection device to collect the spare parts inventory of the personnel to be assessed.
[0085] Specifically, after the person to be assessed takes spare parts from the spare parts cabinet, he needs to place the spare parts one by one on the counting workbench. Since a second short-range communication detection device is installed on the counting workbench, when the person to be assessed places the spare parts one by one on the counting workbench, the second short-range communication detection device generates a spare parts inventory list by identifying the labels on the spare parts placed on the counting workbench, and transmits it to the host device, so that the host device can obtain the spare parts inventory list of the person to be assessed collected by the second short-range communication detection device.
[0086] It should be noted that if the person to be assessed places the spare parts one by one on the inventory workbench, he or she is still required to conduct an oral inventory, that is, to say the name of each spare part. If the turnout operation training and assessment system also includes: a voice collection device, the voice collection device collects the spare parts inventory voice of the person to be assessed and transmits it to the host device, so that the host device can obtain the spare parts inventory voice of the person to be assessed collected by the voice collection device.
[0087] S103: Obtain the wearable image of the person to be assessed captured by the first camera.
[0088] Specifically, among the spare parts taken by the person to be assessed is a reflective vest. The person to be assessed needs to wear the reflective vest and stand in a preset wearing assessment area. A first camera set at a preset position corresponding to the preset wearing assessment area captures the wearing image of the person to be assessed and transmits it to the host device, so that the host device can obtain the wearing image of the person to be assessed captured by the first camera.
[0089] S104, obtaining a turnout acquisition image of the physical turnout platform acquired by the second camera.
[0090] S105, obtaining the hardware turnout status collected by the driving and mining module of the physical turnout platform.
[0091] Specifically, the physical turnout platform includes: a mobile platform, a switch machine, a track and a drive collection module.
[0092] The spare parts taken by the personnel to be assessed include red flashing lights, hook locks, hook lock locks, tools and hand cranks. The personnel to be assessed need to place the red flashing lights at the preset position of the track on the physical turnout platform according to the direction of the oncoming vehicle, and then use tools to open the switch machine lock, use the hand crank to manually crank the turnout, and collect the hardware turnout status through the driving and sampling module of the physical turnout platform, and transmit the hardware turnout status to the host device.
[0093] After the examiner manually cranks the turnout, it is necessary to install a hook lock and lock it at the position between the first and second slide bed plates on the side where the point rail and the base rail are in close contact.
[0094] Then, a second camera set at a preset position in the preset turnout assessment area captures the turnout capture image of the physical turnout platform and transmits it to the host device so that the host device can obtain the turnout capture image of the physical turnout platform captured by the second camera.
[0095] S106: Obtain the spare parts return list of the personnel to be assessed collected by the first short-range communication detection device.
[0096] Specifically, after the person to be assessed has placed the red flashing light, the hook lock and the hook lock, he / she puts the remaining spare parts back into the spare parts cabinet, and the first short-range communication detection equipment identifies the labels on the spare parts currently placed in the spare parts cabinet, determines the spare parts currently placed in the spare parts cabinet, generates a spare parts return list, and transmits it to the host device, so that the host device can obtain the spare parts return list of the person to be assessed collected by the first short-range communication detection equipment.
[0097] S107. Generate the training assessment results for the personnel to be assessed on the turnout operation based on the spare parts pick-up list, spare parts inventory list, wearable images, turnout images, hardware turnout status and spare parts return list.
[0098] The host device generates the training assessment results for the personnel to be assessed on turnout operations based on the acquired spare parts collection list, spare parts inventory list, wearable images, turnout images, hardware turnout status and spare parts return list.
[0099] To summarize, an embodiment of the present application provides a method for practical training and assessment of turnout operation, the method comprising: obtaining a spare parts picking list of the person to be assessed collected by a first short-range communication detection device, obtaining a spare parts inventory list of the person to be assessed collected by a second short-range detection device, obtaining a wearable acquisition image of the person to be assessed collected by a first camera, obtaining a turnout acquisition image of a physical turnout platform collected by a second camera, obtaining a hardware turnout status collected by a driving and mining module of the physical turnout platform, obtaining a spare parts return list of the person to be assessed collected by the first short-range communication detection device, and finally generating a practical training assessment result for turnout operation for the person to be assessed based on the spare parts picking list, the spare parts inventory list, the wearable acquisition image, the turnout acquisition image, the hardware turnout status and the spare parts return list. The method of the present application obtains a spare parts picking list, a spare parts inventory list, wearable images, turnout images, hardware turnout status, and a spare parts returning list, and processes the received data according to preset assessment rules, thereby automatically generating a practical training assessment result for the personnel to be assessed on turnout operations, thereby improving the practical training efficiency and the objectivity and fairness of the practical training assessment.
[0100] The present application embodiment also provides another possible implementation method of the turnout operation training and assessment method. In the following example, the first short-range communication detection device and the second short-range communication detection device are both radio frequency identification readers and writers, and the host device includes: an image recognition module, a signal receiving module, a turnout operation assessment module, and a radio frequency identification module. Figure 3 A second flow chart of a turnout operation training and assessment method provided in an embodiment of the present application is as follows: Figure 3 As shown in the figure, based on the spare parts pick-up list, spare parts inventory list, wearable images, turnout images, hardware turnout status and spare parts return list, the training assessment results for the personnel to be assessed on turnout operations are generated, including:
[0101] S201. Based on the spare parts retrieval list, the spare parts inventory list and the spare parts return list, generate spare parts retrieval assessment results, spare parts inventory assessment results and spare parts return assessment results for the personnel to be assessed.
[0102] In this embodiment, the radio frequency identification module processes the spare parts retrieval list, spare parts inventory list and spare parts return list respectively, determines the retrieval status, inventory status and return status of each spare part, and generates the spare parts retrieval assessment results, spare parts inventory assessment results and spare parts return assessment results for the personnel to be assessed.
[0103] S202: Generate a wear assessment result of the person to be assessed based on the spare parts pick-up list, spare parts inventory list and wear collection images.
[0104] Specifically, the radio frequency identification module determines the taking status and counting status of the reflective vest from the spare parts taking list and the spare parts inventory list. The image recognition module determines the wearing status of the reflective vest based on the wearing image. Then the turnout operation assessment module generates the wearing assessment results of the personnel to be assessed based on the taking status, inventory status, and wearing status of the reflective vest.
[0105] S203, generating the turnout operation assessment result of the person to be assessed based on the spare parts pick-up list, spare parts inventory list, turnout acquisition image and hardware turnout status.
[0106] Specifically, the radio frequency identification module determines the taking status of the red flashing light, the hook lock, and the hook lock lock from the spare parts taking list and the spare parts inventory list, the image recognition module determines the placement status of the red flashing light, the hook lock, and the hook lock's hook spare status based on the turnout acquisition image, the signal receiving module receives the hardware turnout status, and then the turnout operation assessment module generates the turnout operation assessment result of the person to be assessed based on the taking status of the red flashing light, the hook lock, and the hook lock lock, the inventory status, the placement status of the red flashing light, the hook lock, and the hook lock's hook spare status, and the hardware turnout status.
[0107] S204. Generate practical training assessment results based on the assessment results of spare parts taking, spare parts counting, spare parts returning, wearing and turnout operation.
[0108] The turnout operation assessment module generates practical training assessment results based on the preset assessment rules and according to the spare parts retrieval assessment results, spare parts inventory assessment results, spare parts return assessment results, wearing assessment results and turnout operation assessment results.
[0109] In the method provided in the embodiment of the present application, based on the spare parts retrieval list, the spare parts inventory list and the spare parts return list, the spare parts retrieval assessment results, the spare parts inventory assessment results and the spare parts return assessment results are respectively generated for the personnel to be assessed; based on the spare parts retrieval list, the spare parts inventory list and the wearable captured images, the wearing assessment results of the personnel to be assessed are generated; based on the spare parts retrieval list, the spare parts inventory list, the turnout captured images and the hardware turnout status, the turnout operation assessment results of the personnel to be assessed are generated; finally, based on the spare parts retrieval assessment results, the spare parts inventory assessment results, the spare parts return assessment results, the wearing assessment results and the turnout operation assessment results, the practical training assessment results are generated, thereby realizing automatic generation of the practical training assessment results, without the need for staff assessment and scoring, thereby improving the practical training efficiency and the objectivity and fairness of the practical training assessment.
[0110] The embodiment of the present application also provides another possible implementation method of the turnout operation training and assessment method. Figure 4 A flow chart of a method for training and assessing turnout operation provided in the present application is shown in FIG. Figure 4 As shown, based on the spare parts pick-up list, spare parts inventory list and wear collection images, the wear assessment results of the personnel to be assessed are generated, including:
[0111] S301, performing reflective vest wearing recognition on the wearing collection image to obtain reflective vest wearing status information.
[0112] S302: Generate wearing assessment results based on the reflective vest wearing status information, spare parts collection list, and spare parts inventory list.
[0113] In this embodiment, the image recognition module performs reflective vest wearing recognition on the wearing collection image, obtains the reflective vest wearing status information, and determines whether the reflective vest is worn correctly.
[0114] In one example, if the radio frequency identification module determines from the spare parts picking list and the spare parts inventory list that the reflective vest has been taken and counted, and the image recognition module determines that the reflective vest is worn correctly, then the turnout operation assessment module determines that the wearing assessment result is correct based on the reflective vest having been taken and counted and the reflective vest being worn correctly.
[0115] In another example, if the radio frequency identification module determines from the spare parts picking list and the spare parts inventory list that the reflective vest has not been taken or counted, and the image recognition module determines that the reflective vest is worn correctly, then the turnout operation assessment module determines that the wearing assessment result is incorrect wearing based on the reflective vest not being taken or counted and the reflective vest being worn correctly.
[0116] In the method provided in the embodiment of the present application, the wear of the reflective vest is identified on the wear collection image to obtain the wear status information of the reflective vest; the wear assessment result is generated according to the wear status information of the reflective vest, the spare parts collection list, and the spare parts inventory list. The wear assessment result is determined by the spare parts collection list, the spare parts inventory list, and the wear collection image, so as to avoid the situation that the person to be assessed does not take the reflective vest, but because the clothes worn by the person to be assessed have reflective materials, it is wrongly judged that the reflective vest is worn correctly, thereby ensuring the accuracy of the wear assessment result.
[0117] The embodiment of the present application also provides another possible implementation method of the turnout operation training and assessment method. Figure 5 A fourth flow chart of a turnout operation training and assessment method provided in an embodiment of the present application is as follows: Figure 5 As shown, the reflective vest wearing recognition is performed on the wearing collection image to obtain the reflective vest wearing status information, including:
[0118] S401, performing human skeleton key recognition and human body contour recognition on the wearable collected images to obtain the posture information of the person to be assessed and the human body contour position.
[0119] S402: Reflective vest recognition is performed on the wearable collected image to obtain the reflective vest shape and the reflective vest outline position.
[0120] S403: Obtain an initial reflective vest wearing state according to the relative position of the human body contour position and the reflective vest contour position.
[0121] S404: Generate reflective vest wearing state information according to the initial reflective vest wearing state and posture information.
[0122] In this embodiment, the image recognition module uses a pre-trained image recognition model to identify the human skeleton and contour in the worn image to obtain the posture information of the person to be assessed and the position of the human contour, and then identifies the reflective vest in the worn image to obtain the shape of the reflective vest, that is, to determine whether the reflective vest is reflective, whether the Velcro on the reflective vest is tightly attached, etc., as well as the contour position of the reflective vest.
[0123] Then, the pre-trained image recognition model obtains the initial reflective vest wearing state according to the relative position of the human body contour position and the reflective vest contour position, that is, determines the position of the reflective vest at the human body, and then generates the reflective vest wearing state information according to the initial reflective vest wearing state and posture information, that is, determines whether the human body is in a standing posture according to the posture information, and determines the reflective vest wearing state information according to the standing posture and the position of the reflective vest at the human body, that is, determines whether the reflective vest wearing position is correct, and the reflective vest wearing state information includes: the reflective vest is worn correctly and the reflective vest is worn incorrectly.
[0124] In the method provided in the embodiment of the present application, the human skeleton key recognition and human body contour recognition are performed on the wear collection image to obtain the posture information and human body contour position of the person to be assessed, and the reflective vest recognition is performed on the wear collection image to obtain the reflective vest shape and reflective vest contour position. According to the relative position of the human body contour position and the reflective vest contour position, the initial reflective vest wearing state is obtained, and according to the initial reflective vest wearing state and posture information, the reflective vest wearing state information is generated. The wear collection image is recognized by the image recognition module to determine whether the reflective vest is worn correctly.
[0125] The embodiment of the present application also provides another possible implementation method of the turnout operation training and assessment method. Figure 6 A fifth flow chart of a turnout operation training and assessment method provided in an embodiment of the present application is as follows: Figure 6 As shown, based on the spare parts pick-up list, spare parts inventory list, turnout acquisition image and hardware turnout status, the turnout operation assessment results of the personnel to be assessed are generated, including:
[0126] S501. Based on the spare parts picking list and the spare parts inventory list, obtain the carrying status of the red flashing light corresponding to the red flashing light placement link.
[0127] In this embodiment, the radio frequency identification module determines the carrying status of the red flashing light from the spare parts taking list and the spare parts inventory list, that is, whether the red flashing light has been taken and whether it has been counted.
[0128] S502: performing red flashing light recognition on the turnout captured image to obtain the placement status of the red flashing light.
[0129] The image recognition module uses a pre-trained image recognition model to identify the red flashing light on the turnout captured image and determines the placement status of the red flashing light, which includes whether the red flashing light is turned on and the placement position of the red flashing light.
[0130] S503. Generate a placement assessment result of the red flashing light placement link based on the carrying state and the placement state.
[0131] In one example, if the radio frequency identification module determines from the spare parts picking list and the spare parts inventory list that the red flashing light has been picked up and counted, and the image recognition module determines that the placement status of the red flashing light is that the red flashing light is turned on and the placement position of the red flashing light is at the preset position on the track, then the turnout operation assessment module determines that the placement assessment result is correct based on the red flashing light having been picked up and counted, the red flashing light being turned on, and the placement position of the red flashing light being at the preset position on the track.
[0132] In another example, if the radio frequency identification module determines from the spare parts picking list and the spare parts inventory list that the red flashing light has been picked up and counted, and the image recognition module determines that the placement status of the red flashing light is that the red flashing light is not turned on and the placement position of the red flashing light is not at the preset position of the track, then the turnout operation assessment module determines that the placement assessment result is a placement error based on the fact that the red flashing light has been picked up and counted, the red flashing light is not turned on, and the placement position of the red flashing light is not at the preset position of the track.
[0133] S504: Based on the spare parts collection list and the spare parts inventory list, determine the spare parts status of the hook lock in the process of installing the hook lock.
[0134] Optionally, based on the spare parts collection list and the spare parts inventory list, the spare status of the lock hook, the spare status of the lock hook lock and the spare status of the lock key in the process of installing the hook lock are determined; the lock hook spare status includes: the spare status of the lock hook, the spare status of the lock hook lock and the spare status of the lock key.
[0135] Specifically, the RFID module determines the spare status of the lock hook, the spare status of the lock hook lock and the spare status of the lock key from the spare parts retrieval list and the spare parts inventory list, that is, whether the lock hook, the lock hook lock and the lock key have been taken and counted.
[0136] S505, performing hook recognition on the turnout acquisition image to obtain the hook acquisition status.
[0137] Optionally, the turnout captured image is subjected to hook identification to obtain the position of the hook device and the position where the hook device is locked. The hook capture status includes: the position of the hook device and the position where the hook device is locked.
[0138] Specifically, the person to be assessed needs to install a hook lock and lock the hook between the first and second slide bed plates on the side where the point rail and the base rail are in close contact. The position of the hook lock and the hook lock are recorded in the turnout acquisition image. Therefore, the image recognition module uses a pre-trained image recognition model to identify the hook on the turnout acquisition image and determine the position of the hook lock and the hook lock.
[0139] S506. Obtain the turnout operation assessment result according to the placement assessment result, the hook spare status, the hook collection status and the hardware turnout status.
[0140] Among them, the person to be assessed also needs to use tools to open the switch machine lock after placing the red flashing light, and then use the hand crank to manually crank the turnout. The signal receiving module can receive the hardware turnout status provided by the driving module of the physical turnout platform. The signal receiving module determines whether the position of the hand-cranked turnout is correct based on the hardware turnout status.
[0141] In one example, if the radio frequency identification module determines from the spare parts taking list and the spare parts inventory list that the lock hook, the lock hook lock, and the lock key have been taken and counted, and the image recognition module determines that the lock hook and the lock hook lock are placed correctly, and the hand-cranked switch is in the correct position, then the switch operation assessment module determines that the turnout operation assessment result is correct placement based on the fact that the lock hook, the lock hook lock, and the lock key have been taken and counted, and the lock hook and the lock hook lock are placed correctly, and the hand-cranked switch is in the correct position.
[0142] In another example, if the radio frequency identification module determines from the spare parts taking list and the spare parts inventory list that the lock hook, the lock hook lock, and the lock key have been taken and counted, and the image recognition module determines that the lock hook and the lock hook lock are incorrectly placed, and the position of the hand-cranked switch is incorrect, then the turnout operation assessment module determines that the turnout operation assessment result is a placement error based on the fact that the lock hook, the lock hook lock, and the lock key have been taken and counted, and the lock hook and the lock hook lock are incorrectly placed, and the hand-cranked switch is incorrectly positioned.
[0143] It should be noted that the training process of the pre-trained image recognition model in the image recognition module is as follows: obtain multiple training sample images, the multiple training sample images include: multiple wearing collection images and multiple turnout collection images, and mark the reflective vest in each wearing collection image to obtain corresponding marking information, and mark the red flashing light, hook lock, and hook lock lock in each turnout collection image to obtain corresponding marking information, and generate a training image sample set and a test image sample set.
[0144] The initial image recognition model is used to train the training image sample set, and the initial image recognition model parameters are adjusted to optimize and expand the training image sample set. The initial image recognition model is continued to be used to train the optimized and expanded training image sample set to obtain the target image recognition model. The target image recognition model is then tested using the test image sample set to determine whether the test recognition rate meets expectations and does not overfit. If the test recognition rate does not meet expectations or overfits, the target image recognition model is continued to be trained until the test recognition rate meets expectations and does not overfit, and the current graphic recognition model is determined to be a pre-trained image recognition model for image recognition of turnout collected images and wear collected images.
[0145] In the method provided in the embodiment of the present application, based on the spare parts picking list and the spare parts inventory list, the carrying status of the red flashing light corresponding to the red flashing light placement link is obtained, and the red flashing light is identified on the turnout acquisition image to obtain the placement status of the red flashing light; based on the carrying status and the placement status, the placement assessment result of the red flashing light placement link is generated; based on the spare parts picking list and the spare parts inventory list, the lock hook spare status of the hook lock installation link is determined; the lock hook is identified on the turnout acquisition image to obtain the lock hook acquisition status; according to the placement assessment result, the lock hook spare status, the lock hook acquisition status and the hardware turnout status, the turnout operation assessment result is obtained. The turnout operation assessment result is jointly determined by the spare parts picking list, the spare parts inventory list, the turnout acquisition image and the hardware turnout status to ensure the accuracy of the turnout operation assessment result.
[0146] The following is a corresponding explanation of the turnout operation training and assessment device and host equipment provided by any of the above embodiments of the present application. Its specific implementation process and the technical effects produced are the same as those of the corresponding method embodiments mentioned above. For the sake of brief description, the parts not mentioned in this embodiment can refer to the corresponding contents in the method embodiment.
[0147] Figure 7 This is a functional module diagram of a turnout operation training and assessment device provided in an embodiment of the present application. Figure 7 As shown, the turnout operation training and assessment device 100 includes:
[0148] The acquisition module 110 is used to obtain the spare parts collection list of the personnel to be assessed collected by the first short-range communication detection device;
[0149] The acquisition module 110 is further used to obtain the spare parts inventory of the person to be assessed collected by the second close-range detection device;
[0150] The acquisition module 110 is further used to acquire the wearing image of the person to be assessed acquired by the first camera;
[0151] The acquisition module 110 is also used to acquire the turnout acquisition image of the physical turnout platform acquired by the second camera;
[0152] The acquisition module 110 is also used to acquire the hardware turnout status collected by the driving and mining module of the physical turnout platform;
[0153] The acquisition module 110 is further used to obtain the spare parts return list of the person to be assessed collected by the first short-range communication detection device;
[0154] The generation module 120 is used to generate the practical training assessment results of the personnel to be assessed on the turnout operation based on the spare parts picking list, the spare parts inventory list, the wearable captured images, the turnout captured images, the hardware turnout status and the spare parts return list.
[0155] Optionally, the generation module 120 is also used to generate the spare parts retrieval assessment results, spare parts inventory assessment results and spare parts return assessment results for the person to be assessed based on the spare parts retrieval list, the spare parts inventory list and the spare parts return list, respectively; generate the wearing assessment results of the person to be assessed based on the spare parts retrieval list, the spare parts inventory list and the wearing collection image; generate the turnout operation assessment results of the person to be assessed based on the spare parts retrieval list, the spare parts inventory list, the turnout collection image and the hardware turnout status; generate the practical training assessment results based on the spare parts retrieval assessment results, the spare parts inventory assessment results, the spare parts return assessment results, the wearing assessment results and the turnout operation assessment results.
[0156] Optionally, the generating module 120 is further used to perform reflective vest wearing recognition on the wearing collection image to obtain reflective vest wearing status information; and generate the wearing assessment result according to the reflective vest wearing status information, the spare parts picking list, and the spare parts inventory list.
[0157] Optionally, the generating module 120 is further used to perform human skeleton key recognition and human body contour recognition on the wearing collection image to obtain the posture information of the person to be assessed and the human body contour position; perform reflective vest recognition on the wearing collection image to obtain the reflective vest shape and the reflective vest contour position; obtain the initial reflective vest wearing state according to the relative position of the human body contour position and the reflective vest contour position; generate the reflective vest wearing state information according to the initial reflective vest wearing state and the posture information.
[0158] Optionally, the generation module 120 is also used to obtain the carrying status of the red flashing light corresponding to the red flashing light placement link based on the spare parts picking list and the spare parts inventory list; perform red flashing light recognition on the turnout acquisition image to obtain the placement status of the red flashing light; generate a placement assessment result of the red flashing light placement link based on the carrying status and the placement status; determine the hook spare status of the hook lock installation link based on the spare parts picking list and the spare parts inventory list; perform hook recognition on the turnout acquisition image to obtain the hook collection status; obtain the turnout operation assessment result according to the placement assessment result, the hook spare status, the hook collection status and the hardware turnout status.
[0159] Optionally, the generation module 120 is also used to determine the spare status of the lock hook, the spare status of the lock hook lock and the spare status of the lock key in the link of installing the hook lock based on the spare parts collection list and the spare parts inventory list; the lock hook spare status includes: the spare status of the lock hook, the spare status of the lock hook lock and the spare status of the lock key; the lock hook is identified on the turnout acquisition image to obtain the position of the lock hook and the position of the lock hook lock, and the lock hook acquisition status includes: the position of the lock hook and the position of the lock hook lock.
[0160] The above-mentioned device is used to execute the method provided by the aforementioned embodiment, and its implementation principle and technical effect are similar, which will not be repeated here.
[0161] The above modules may be one or more integrated circuits configured to implement the above methods, such as one or more application specific integrated circuits (ASICs), or one or more microprocessors, or one or more field programmable gate arrays (FPGAs). For another example, when a module is implemented in the form of a processing element scheduling program code, the processing element may be a general-purpose processor, such as a central processing unit (CPU) or other processor that can call program code. For another example, these modules may be integrated together and implemented in the form of a system-on-a-chip (SOC).
[0162] Figure 8 This is a schematic diagram of a host device provided in an embodiment of the present application, which can be used for turnout operation training and assessment. Figure 8 As shown, the host device 200 includes: a processor 210 , a storage medium 220 , and a bus 230 .
[0163] The storage medium 220 stores machine-readable instructions executable by the processor 210. When the host device is running, the processor 210 communicates with the storage medium 220 via the bus 230, and the processor 210 executes the machine-readable instructions to perform the steps of the above method embodiment. The specific implementation method and technical effect are similar and will not be repeated here.
[0164] Optionally, the present application further provides a storage medium 220, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the above method embodiment are executed. The specific implementation method and technical effect are similar and will not be repeated here.
[0165] In the several embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.
[0166] 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 on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
[0167] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional units.
[0168] The above-mentioned integrated unit implemented in the form of a software functional unit can be stored in a computer-readable storage medium. The above-mentioned software functional unit is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor (English: processor) to perform some steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (English: Read-Only Memory, abbreviated: ROM), random access memory (English: Random Access Memory, abbreviated: RAM), disk or optical disk and other media that can store program codes.
[0169] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art who is familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.
Claims
1. A turnout operation training and assessment system, characterized in that: The turnout operation training and assessment system comprises: a spare parts cabinet, an inventory workbench, a host device, a first camera, a second camera and a physical turnout platform; The spare parts cabinet is used to place spare parts, and a first short-distance communication detection device is installed in the spare parts cabinet to identify the spare parts in the spare parts cabinet, obtain a spare parts removal list, and also to identify the spare parts in the spare parts cabinet to obtain a spare parts return list; the counting workbench is used to place and take spare parts, and a second short-distance communication detection device is installed on the counting workbench to count the taken spare parts and generate a spare parts inventory list; The first camera is arranged at a preset position corresponding to a preset wear assessment area to collect wear images of the person to be assessed, and the second camera is arranged at a preset position of a preset turnout assessment area to collect turnout images of the physical turnout platform; The host device is communicatively connected to the first short-range communication detection device, the second short-range communication detection device, the first camera, the second camera and the driving and mining module of the physical turnout platform to generate the training assessment results of the personnel to be assessed on the turnout operation based on the spare parts collection list, the spare parts inventory list, the wearable captured images, the turnout captured images, the hardware turnout status and the spare parts return list.
2. The system according to claim 1, characterized in that The first short-distance communication detection device and the second short-distance communication detection device are both radio frequency identification readers and writers.
3. The system according to claim 1, characterized in that The turnout operation training and assessment system further includes: a voice collection device, which is communicatively connected to the host device to collect the spare parts inventory voice of the person to be assessed.
4. A turnout operation training and assessment method, characterized in that: The host device used in the above-mentioned turnout operation training and assessment system, the method includes: Obtain the spare parts list of the personnel to be assessed collected by the first short-range communication detection device; Obtaining a spare parts inventory of the person to be assessed collected by a second close-range detection device; Obtaining the wearing image of the person to be assessed captured by the first camera; Acquire a turnout acquisition image of the physical turnout platform acquired by the second camera; Obtain the hardware turnout status collected by the driving and mining module of the physical turnout platform; Obtaining the spare parts return list of the person to be assessed collected by the first short-range communication detection device; Based on the spare parts picking list, the spare parts inventory list, the wearable captured images, the turnout captured images, the hardware turnout status and the spare parts returning list, the practical training assessment results for the turnout operation of the person to be assessed are generated.
5. The method according to claim 4, characterized in that The generating of the practical training assessment result of the personnel to be assessed on the turnout operation based on the spare parts taking list, the spare parts inventory list, the wearable captured images, the turnout captured images, the hardware turnout status and the spare parts returning list includes: Based on the spare parts taking list, the spare parts inventory list and the spare parts returning list, respectively generating a spare parts taking assessment result, a spare parts inventory assessment result and a spare parts returning assessment result for the person to be assessed; Based on the spare parts picking list, the spare parts inventory list and the wearing collection image, generating the wearing assessment result of the person to be assessed; Based on the spare parts picking list, the spare parts inventory list, the turnout acquisition image and the hardware turnout status, generating the turnout operation assessment result of the person to be assessed; The practical training assessment result is generated based on the spare parts taking assessment result, the spare parts inventory assessment result, the spare parts returning assessment result, the wearing assessment result and the turnout operation assessment result.
6. The method according to claim 5, characterized in that The generating of the wear assessment result of the person to be assessed based on the spare parts picking list, the spare parts inventory list and the wear collection image includes: Performing reflective vest wearing recognition on the wearing collection image to obtain reflective vest wearing status information; The wearing assessment result is generated according to the wearing status information of the reflective vest, the spare parts picking list, and the spare parts inventory list.
7. The method according to claim 6, characterized in that The step of performing reflective vest wearing recognition on the wearing collection image to obtain reflective vest wearing status information includes: Performing human skeleton key recognition and human body contour recognition on the wearable collected images to obtain the posture information of the person to be assessed and the human body contour position; Performing reflective vest recognition on the worn captured image to obtain the reflective vest shape and the reflective vest contour position; According to the relative position of the human body contour position and the reflective vest contour position, an initial reflective vest wearing state is obtained; The reflective vest wearing state information is generated according to the initial reflective vest wearing state and the posture information.
8. The method according to claim 5, characterized in that The generating of the turnout operation assessment result of the person to be assessed based on the spare parts taking list, the spare parts inventory list, the turnout acquisition image and the hardware turnout status includes: Based on the spare parts picking list and the spare parts inventory list, obtaining the carrying status of the red flashing light corresponding to the red flashing light placement link; Performing red flashing light recognition on the turnout captured image to obtain the placement status of the red flashing light; Based on the carrying state and the placement state, generating a placement assessment result of the red flashing light placement link; Based on the spare parts collection list and the spare parts inventory list, determine the spare parts status of the hook lock in the process of installing the hook lock; Performing hook recognition on the turnout acquisition image to obtain a hook acquisition state; The turnout operation assessment result is obtained according to the placement assessment result, the hook spare status, the hook collection status and the hardware turnout status.
9. The method according to claim 8, characterized in that The determining of the hook spare parts status of the hook lock device installation link based on the spare parts collection list and the spare parts inventory list includes: Based on the spare parts collection list and the spare parts inventory list, determine the spare parts status of the lock hook, the spare parts status of the lock hook lock and the spare parts status of the lock key in the process of installing the hook lock; the lock hook spare parts status includes: the spare parts status of the lock hook, the spare parts status of the lock hook lock and the spare parts status of the lock key; The step of performing hook recognition on the turnout acquisition image to obtain a hook acquisition state includes: The hook recognition is performed on the turnout acquisition image to obtain the position of the hook device and the position where the hook device is locked. The hook acquisition state includes: the position of the hook device and the position where the hook device is locked.
10. A host device, characterized in that: include: A processor, a storage medium and a bus, wherein the storage medium stores program instructions executable by the processor, and when the host device is running, the processor communicates with the storage medium via the bus, and the processor executes the program instructions to perform the steps of the turnout operation training and assessment method as described in any one of claims 4 to 9.