Control method, detection robot, terminal device, server, and detection system

Abstract

This invention discloses a control method for a detection robot in a detection system. The detection system also includes a terminal device and a server. The detection robot communicates with the server, and the terminal device also communicates with the server. The control method includes the steps of: obtaining a work plan from the server; detecting train wheels according to the work plan and generating detection data; and sending the detection data and status data to the server. In the control method of this invention, the application of detection robot technology significantly improves the intelligence level of rail transit wheel maintenance, simplifies the operation process, and increases work efficiency. This application also discloses a terminal device, a server, and a detection system.

Description

Technical Field

[0001] This invention relates to the field of railway inspection equipment technology, and in particular to a control method, an inspection robot, a terminal device, a server, and an inspection system. Background Technology

[0002] Wheels are the final load-bearing components of locomotives and rolling stock. They transmit the load to the rails and rotate on them to complete the locomotive's movement. During high-speed operation, the wheelsets bear even greater dynamic loads, making them prone to stress concentration in areas such as the wheel tread, rim, and spokes. This can lead to wheel component defects, peeling, fatigue cracks, and other failures. Therefore, the quality of the wheels directly affects driving safety and is a crucial factor in ensuring the safe operation of locomotives and rolling stock. Maintenance departments regularly conduct ultrasonic testing on wheels based on actual usage. Currently, rail transit wheel testing equipment uses a fully manual or semi-automatic human-machine combined operation mode, which is cumbersome and inefficient. Summary of the Invention

[0003] In view of this, embodiments of the present invention provide a control method, a detection robot, a terminal device, a server, and a detection system.

[0004] The control method provided in this invention is used for a detection robot in a detection system. The detection system further includes a terminal device and a server. The detection robot communicates with the server, and the terminal device also communicates with the server. The control method includes:

[0005] Obtain the job plan from the server;

[0006] The train wheels are inspected according to the work plan, and inspection data is generated.

[0007] The detection data and status data are sent to the server.

[0008] In some embodiments, the control method further includes:

[0009] Obtain control commands for the terminal device from the server;

[0010] The action corresponding to the control command is executed according to the control command.

[0011] In some embodiments, the control method further includes:

[0012] Obtain the offline work plan of the mobile storage device, perform inspection on the train according to the offline work plan to generate inspection data, and detect the network connection status with the server;

[0013] If the network connection is normal, the detection data is sent to the server; or

[0014] In the event of an abnormal network connection, the detection data is sent to the mobile storage device.

[0015] The control method provided in this invention is used for a terminal device of a detection system. The detection system further includes multiple detection robots and a server. The terminal device also communicates with the server. The multiple detection robots form a local area network and communicate with the server. The control method includes:

[0016] Generate a job plan based on user input;

[0017] The work plan is sent to the server so that the inspection robot can inspect the train wheels and obtain inspection data according to the work plan;

[0018] Receive the detection data transmitted by the server and generate detection results based on the detection data.

[0019] In some embodiments, the control method further includes:

[0020] Send control commands to the server to control the detection robot to perform corresponding actions.

[0021] The control method provided in this invention is used to detect a server in a detection system. The detection system further includes multiple detection robots and terminal devices. The terminal devices communicate with the server, and the multiple detection robots form a local area network and communicate with the server. The control method includes:

[0022] Receive the job plan sent by the terminal device;

[0023] The work plan is sent to the inspection robot so that the inspection robot can inspect the train wheels and obtain inspection data according to the work plan;

[0024] Receive the detection data and status data from the detection robot.

[0025] In some embodiments, the control method further includes:

[0026] Receive control commands from the terminal device;

[0027] The control command is sent to the detection robot to control the detection robot to perform the corresponding action.

[0028] This invention provides a detection robot for a detection system. The detection system further includes a terminal device and a server. The terminal device communicates with the server, and the detection robot communicates with the server. The detection robot is used for:

[0029] Obtain the job plan from the server;

[0030] The train wheels are inspected according to the work plan, and inspection data is generated.

[0031] The detection data and status data are sent to the server.

[0032] This invention provides a terminal device for a detection system, the detection system further comprising multiple detection robots and a server, the terminal device communicating with the server, and the multiple detection robots forming a local area network and communicating with the server, the terminal device being used for:

[0033] Generate a job plan based on user input;

[0034] The work plan is sent to the server so that the inspection robot can inspect the train wheels and obtain inspection data according to the work plan;

[0035] Receive the detection data transmitted by the server and generate detection results based on the detection data.

[0036] This invention provides a server for a detection system, the detection system further comprising multiple detection robots and terminal devices, the terminal devices communicating with the server, and the multiple detection robots forming a local area network and communicating with the server, the server being used for:

[0037] Receive the job plan sent by the terminal device;

[0038] The work plan is sent to the inspection robot so that the inspection robot can inspect the train wheels and obtain inspection data according to the work plan;

[0039] Receive the detection data and status data from the detection robot.

[0040] The detection system provided in this application includes a terminal device, a server, and multiple detection robots. The terminal device communicates with the server, and the multiple detection robots form a local area network and communicate with the server.

[0041] The terminal device is used to generate a job plan and send the job plan to the server;

[0042] The inspection robot is used to acquire the work plan, inspect the train wheels according to the work plan to obtain inspection data, and send the inspection data and status data to the server;

[0043] The terminal device is also used to obtain detection data and status data from the server and generate detection results.

[0044] In some implementations, the terminal device is also used to send control commands to the server to control the operation of the terminal device.

[0045] In some implementations, the inspection robot is also used to acquire the offline work plan of the mobile storage device, inspect the train according to the offline work plan to generate inspection data, and detect the network connection status with the server.

[0046] If the network connection is normal, the detection data is sent to the server; or

[0047] In the event of an abnormal network connection, the detection data is sent to the mobile storage device.

[0048] In some implementations, the work plan includes at least one of automatic sample wheelset deployment, start-up inspection and testing, and completion inspection.

[0049] The control method, detection robot, terminal device, server, and detection system provided by this invention involve uploading a generated work plan to a platform on the server or a mobile storage device via the terminal device. The detection robot retrieves the work plan from the server or mobile storage device and begins to detect the train wheels, generating detection data and status data. The detection robot then uploads the detection data and status data to the server or mobile storage device, which in turn sends the data to the terminal device. The terminal device then calculates the detection results based on the data and status data, and uses these results to determine whether the train wheels have malfunctioned, thereby ensuring the safe operation of the locomotive and rolling stock.

[0050] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0051] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, wherein:

[0052] Figure 1 This is a schematic diagram of the modules of the train wheel detection system of this application;

[0053] Figure 2 This is a schematic diagram of the detection robot control method of this application;

[0054] Figure 3 This is a schematic diagram illustrating the process by which the detection robot of this application acquires and executes control commands;

[0055] Figure 4 This is a schematic diagram of the control method of the detection robot in offline mode according to this application;

[0056] Figure 5 This is a schematic diagram of the control method for the terminal device of this application;

[0057] Figure 6 This is a schematic diagram of the operation mode of the inspection robot in this application;

[0058] Figure 7 This is a schematic diagram of the process for controlling the detection robot using the terminal equipment of this application;

[0059] Figure 8 This is a flowchart illustrating the server control method of this application;

[0060] Figure 9 This is a schematic diagram of the server-controlled detection robot of this application. Detailed Implementation

[0061] The embodiments of this application are described in detail below. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the embodiments of this application, and should not be construed as limiting the embodiments of this application.

[0062] Wheels are the final load-bearing components of train vehicles. They rotate on rails to propel the train, transferring the train's load to the rails. During high-speed operation, the train wheels bear even greater dynamic loads, making them prone to stress concentration in areas such as the wheel tread, rim, and spokes. This can lead to wheel component defects, peeling, fatigue cracks, and other failures. Therefore, the quality of the wheels directly affects driving safety. Flaw detection of the wheels is a crucial step in ensuring the safe operation of locomotives and rolling stock. Consequently, maintenance departments regularly conduct ultrasonic testing on the wheels based on actual operational conditions.

[0063] The current rail transit wheel inspection equipment adopts a fully manual or semi-automatic human-machine combination operation mode. The flaw detection personnel need to operate the equipment to move to the inspection position, connect the external power supply, select the inspection parameters, locate the inspection components, and analyze the inspection results, etc. The inspection operation process adopts a manual operation mode. This mode has insufficient intelligence and low efficiency when there are too many wheel flaw detection operations.

[0064] Please see Figure 1 This application provides a detection system, which includes a terminal device, multiple detection robots and a server. The terminal device communicates with the server, and the multiple detection robots form a local area network and communicate with the server.

[0065] Specifically, the terminal device can be a large display screen, a laptop, or a desktop computer, etc. The terminal device is used to generate a work plan and send the work plan to a server or mobile storage device. The terminal device can also obtain the detection data and status data uploaded by the detection robot from the server or mobile storage device and generate the detection results.

[0066] The server deploys an operation platform, which can be a network monitoring platform for train wheel and axle flaw detection. The network monitoring platform can be built using a smart collaborative network as the transmission carrier. The smart collaborative network is a secure, intelligent, flexible, on-demand network that enables personnel collaboration, process collaboration, data collaboration, and resource collaboration. Operators can remotely access the operation platform through terminal devices to formulate and issue operation plans. The server's operation platform can also save the status data and detection data obtained by the detection robot to the platform.

[0067] The number of inspection robots is not limited here. Multiple inspection robots can be connected through a wireless hotspot to form a local area network and communicate with the server. The inspection robots are used to obtain the work plan formulated by the terminal device and sent to the server or mobile storage device, and inspect the wheels of the train according to the work plan to obtain inspection data and status data. Finally, the inspection data and status data will be sent to the server or mobile storage device.

[0068] In this way, the inspection system breaks away from the previous single-machine operation mode by setting up terminal devices, servers, and multiple inspection robots to communicate with each other, realizing a three-layer system architecture of data acquisition, remote control, and application analysis. Multiple inspection robots establish a clustered operation system architecture, enabling clustered control of the robots. It can intelligently allocate tasks based on information such as robot status and the parking location of the inspected vehicle, and remotely control robot actions based on real-time robot status data.

[0069] Please see Figure 6In some implementations, the detection system includes multiple operating modes such as fully automatic operating mode, semi-automatic operating mode, and offline operating mode.

[0070] Specifically, in fully automated operation mode, the inspection system enables the inspection robot to automatically acquire and execute the work plan, and automatically upload equipment status and inspection data, without requiring human intervention. In semi-automatic operation mode, each inspection robot can automatically acquire the work plan, and operators can access the cloud platform system with a handheld portable terminal, operate alongside the equipment, and view the equipment status in real time, analyze inspection results online, and control equipment actions. In offline operation mode, the pre-defined work plan is copied to the inspection robot via a removable storage medium and imported. The inspection robot can then automatically execute the plan, and the inspection data is saved to the inspection robot's local memory. After the plan is completed, the network connection status between the inspection robot and the server is checked. If the network connection is normal, the inspection data is sent to the server; or if the network connection is abnormal, all inspection data can be manually copied to the removable storage medium and imported and analyzed using offline analysis software.

[0071] For example, when the inspection staff selects the fully automated operation mode, the inspection robot first obtains the work plan from the cloud platform on the server. After obtaining the work plan, the inspection robot starts to execute the work plan automatically. The work plan includes automatic online placement of the sample wheelset, start-up inspection, inspection and completion inspection, etc. During the execution of the plan, the inspection robot uploads the equipment status and inspection data of the wheels to the cloud platform on the server in real time. Professional flaw detection personnel can view and analyze the inspection results in real time through remote analysis host.

[0072] For example, when the inspection staff selects the semi-automatic operation mode, the inspection robot first obtains the work plan from the cloud platform on the server. Professional flaw detectors use portable operating terminals to work with the equipment. During the execution of the plan, the inspection robot uploads the equipment status and inspection data of the wheels to the cloud platform on the server in real time. Professional flaw detectors can use portable operating terminals to access the equipment status and inspection data of the wheels in the cloud platform to control the equipment and analyze the inspection results.

[0073] For example, if the flaw detection personnel select the offline operation mode, they can send the offline operation plan to the inspection robot via a removable storage device. After importing the operation plan, the inspection robot will automatically execute the operation plan, including automatic online placement of the sample wheelset, start-up inspection, inspection, and completion inspection. After the plan is completed, if the network is restored, the inspection data and status data can be automatically uploaded to the cloud platform of the server. If the network is not restored, the equipment status and inspection data of the wheels in the inspection robot can be manually copied to the removable storage device, which will then import them to the terminal device for professional flaw detection personnel to analyze the inspection results.

[0074] Thus, by setting fully automatic, semi-automatic, and offline operating modes, the inspection system can inspect train wheels according to different working environments and conditions, enabling the inspection robot to operate 24 / 7, significantly improving equipment utilization and operational efficiency. This reduces equipment maintenance time and also lowers the need for maintenance units to configure a larger number of similar devices.

[0075] In some implementations, the terminal device is used to generate a work plan and send the work plan to the server; the inspection robot is used to obtain the work plan from the server, and inspect the wheels of the train according to the work plan to obtain inspection data, and send the inspection data and status data to the server; the terminal device is used to obtain the inspection data and status data from the server and generate inspection results.

[0076] Specifically, the inspection staff first formulates and generates an inspection work plan on the terminal device. Then, the terminal device sends the work plan to the server platform. Next, the inspection robot obtains the inspection work plan from the server platform and inspects the train wheels according to the work plan to obtain inspection data and status data. Then, the inspection robot sends the inspection data and status data to the server. Finally, the terminal device obtains the inspection data and status data from the server and generates the inspection results.

[0077] In this way, the inspection staff can formulate a work plan through the terminal device and transmit it to the inspection robot through the server. Then, the inspection robot transmits the inspection data and status data to the terminal device according to the work plan, so that the inspection staff can analyze the data and obtain the inspection results. This allows professional inspection personnel to complete the inspection task remotely by monitoring the equipment status and analyzing the inspection results in the operating room, without the need for on-site operation. This greatly improves the working environment of the inspection personnel and indirectly ensures the safety of vehicle driving.

[0078] In some implementations, the terminal device is also used to send control commands to the server to control the operation of the terminal device.

[0079] Specifically, wheel inspection workers input control commands to the server via the terminal device to operate the inspection robot. In this way, the server sends instructions to the terminal device based on the work plan set by the inspection workers, thus saving the workers' time and improving work efficiency.

[0080] In some implementations, the inspection robot is also used to acquire the offline work plan of the mobile storage device, inspect the train according to the offline work plan to generate inspection data, and then the inspection robot checks the network connection status with the server; if the network connection status is normal, the inspection data is sent to the server; or if the network connection status is abnormal, the inspection data is sent to the mobile storage device.

[0081] Specifically, when the detection system network fails, in order to prevent the detection system from failing to operate normally, an offline operation mode is added to the detection robot. The offline operation mode means that the detection robot can automatically complete the detection task according to the offline operation plan imported into the mobile storage, store the detection data and status data into the mobile storage, and finally manually copy the detection data and status data in the mobile storage to the terminal device, and analyze all the detection data offline to obtain the detection results.

[0082] In this way, by acquiring the work plan from the mobile storage device, the inspection robot can inspect the train wheels and upload the inspection data and status data to the mobile storage device. This solves the problem that the inspection system cannot work properly when there is a network failure, prevents over-reliance on the network, and improves the efficiency of the inspection work.

[0083] In some implementations, the work plan includes at least one of automatic sample wheelset deployment, start-up inspection, and completion inspection.

[0084] Specifically, inspection personnel develop different work plans for the inspection robot based on different situations. For example, the inspection robot needs to identify the position of the vehicle being inspected before it can accurately inspect the wheels. The inspection robot completes the inspection of the train wheels according to the work plan set by the terminal equipment and uploads the inspection data and status data.

[0085] In this way, by developing different work plans on the terminal equipment, the inspection staff can enable the inspection robot to make appropriate adjustments according to the work plan and adapt to different scenarios of train wheel inspection.

[0086] Please see Figure 2 This application provides a control method for a detection robot in a detection system. The detection system also includes a terminal device and a server. The detection robot communicates with the server, and the terminal device also communicates with the server. The control method includes the following steps:

[0087] 11: Retrieve the job plan from the server;

[0088] 12: Inspect the train wheels according to the work plan and generate inspection data;

[0089] 13: Send detection data and status data to the server.

[0090] Please see Figure 1 This application provides an inspection robot for the aforementioned inspection system. The inspection robot is used to obtain a work plan from the server, then inspect the train wheels according to the work plan and generate inspection data, and finally send the inspection data and status data to the server.

[0091] Specifically, the number of inspection robots is not limited here. The number of inspection robots is set according to the number of wheels to be inspected on the locomotive, in order to improve work efficiency. The inspection robots obtain the work plan formulated by the flaw detection personnel from the server platform, and then select the corresponding comparison sample wheel to be online according to the work plan. Then, the matching comparison sample wheel undergoes system calibration and start-up verification to obtain the inspection data and status data of the comparison sample wheel. After inspecting the train wheels according to the work plan, the inspection robot will generate the wheel status data and inspection data, and then send the inspection data and status data to the cloud platform of the server. Finally, after the actual vehicle inspection is completed, the inspection data of the matching comparison sample wheel is used to perform completion verification.

[0092] In this way, by setting up multiple inspection robots in the inspection system, and having these robots work according to the work plan of the terminal equipment, clustered control of the inspection robots is achieved, thereby improving the inspection efficiency of inspection personnel. Multiple inspection robots replace manual inspection, thus improving the level of intelligence in rail transit wheel maintenance.

[0093] Please see Figure 3 In some implementations, the control method further includes:

[0094] 14: Obtain control commands for the terminal device from the server;

[0095] 15: Execute the actions corresponding to the control commands according to the control commands.

[0096] Specifically, the inspection robot receives the work plan set by the terminal device from the server. According to the work plan, the inspection robot performs at least one of the following on the train wheels: automatic online testing of sample wheelsets, start-up inspection and testing, and completion inspection. The inspection robot performs the corresponding actions according to the work plan, and uploads the inspection data and status data to the server.

[0097] In this way, the server will obtain the work plan from the terminal device and transmit it to the inspection robot. The inspection robot will then perform operations according to the work plan set by the inspection staff, thereby enabling one person to monitor the operation of multiple devices and reducing the user's labor costs.

[0098] Please see Figure 4 In some implementations, the control method further includes:

[0099] 16: Obtain the offline job plan for the removable storage device;

[0100] 17: Conduct inspections on the trains according to the offline work plan to generate inspection data;

[0101] 18: Check the network connection status with the server; if the network connection is normal, send the check data to the server; or if the network connection is abnormal,

[0102] 19: Send detection data to mobile storage.

[0103] Specifically, when a network failure occurs in the detection system, the inspection personnel can create a work plan on the terminal device, then import the work plan into a portable storage device, and then manually import the work plan from the portable storage device into the inspection robot. The inspection robot then inspects the train wheels according to the offline work plan, generating inspection data and status data. Finally, the network connection status between the inspection robot and the server is determined. If the network connection status is normal, the inspection data is sent to the server; or if the network connection status is abnormal, the inspection data is sent to the portable storage device.

[0104] In this way, by operating the inspection robot in offline mode, the inspection staff can still inspect the train wheels even when the network is down, thus solving the problem of the inspection system's dependence on the network during operation.

[0105] Please see Figure 5 This application provides a control method for a terminal device of a detection system. The detection system also includes the terminal device and a server. The detection robot communicates with the server, and the terminal device also communicates with the server. The control method includes the following steps:

[0106] 21: Generate a job plan based on user input;

[0107] 22: Send the work plan to the server so that the inspection robot can inspect the train wheels according to the work plan and obtain inspection data;

[0108] 23: Receive the detection data transmitted from the server and generate detection results based on the detection data.

[0109] Please see Figure 1This application provides a terminal device for the aforementioned detection system. The terminal device can generate a work plan based on user input, then upload the work plan to the server platform, then the detection robot detects the train wheels according to the work plan and obtains detection data, and finally receives the detection data transmitted by the server and generates detection results based on the detection data.

[0110] Specifically, the terminal equipment consists of a large display screen and any operating terminal. Flaw detection personnel can access the cloud platform installed on the server through the large display screen, laptop, desktop computer, etc. The inspection personnel can formulate and issue different work plans to the inspection robot according to different work modes selected on the terminal equipment. The inspection personnel can view and analyze the inspection data generated by the inspection robot on the on-site inspection terminal equipment, or remotely analyze the inspection data online on the terminal equipment to generate inspection results.

[0111] Thus, in the control method and detection system of this application, by setting up terminal equipment in the detection system, the detection personnel can formulate work plans and analyze detection data and status data on the terminal equipment to obtain detection results. This solves the problem that in poor detection environments, detection personnel need to complete a series of operations such as positioning control equipment, entering detection parameters, and analyzing detection results, making it impossible to focus their main efforts on the most important analysis of detection results, which poses a risk of missed judgments and certain safety hazards to vehicle driving safety. Now, detection personnel only need to remotely monitor the equipment status and analyze the detection results in the control room to complete the detection task without on-site work, which greatly improves the working environment of detection personnel and indirectly ensures vehicle driving safety.

[0112] Please see Figure 7 In some implementations, the control method further includes:

[0113] 24: Send control commands to the server to control the inspection robot to perform the corresponding actions.

[0114] Specifically, inspectors can use the terminal device to create a work plan, then upload the work plan to the server, and the server will then import the work plan into the inspection robot, controlling the inspection robot to perform the corresponding actions according to the work plan.

[0115] In this way, the inspection robot is controlled to carry out inspections through the work plan set by the terminal equipment, and the inspection data and status data are uploaded to the terminal equipment for analysis, thereby enabling inspection personnel to remotely view data and analyze inspection data online.

[0116] Please see Figure 8This application also provides a control method for a server in a detection system. The detection system further includes a terminal device and a server. The detection robot communicates with the server, and the terminal device also communicates with the server. The control method includes the following steps:

[0117] 31: Receive the job plan sent by the terminal device;

[0118] 32: Send the work plan to the inspection robot so that the inspection robot can inspect the train wheels according to the work plan and obtain inspection data;

[0119] 33: Receive detection data and status data from the detection robot.

[0120] Please see Figure 1 This application provides a server for a detection system. The detection system also includes a terminal device and a server. The terminal device communicates with the server, and the detection robot communicates with the server. The server can receive a work plan sent by the terminal device, then send the work plan to the detection robot. The detection robot then detects the wheels of a train according to the work plan and obtains the detection data. Finally, the server receives the detection data and status data from the detection robot.

[0121] Specifically, a work platform is deployed on the server. This platform, built using a smart collaborative network as its transmission carrier, forms a networked monitoring platform for wheel and axle flaw detection. The server is responsible for communication with terminal devices and a local area network consisting of multiple inspection robots. For example, flaw detection personnel remotely upload the work plan for the inspection robots to the server platform via terminal devices. The platform then sends the work plan to the inspection robots, enabling them to inspect the train wheels and obtain inspection data. The inspection robots then upload this data to the server platform, allowing the flaw detection personnel to view the data on the server platform from their terminal devices and perform online analysis.

[0122] In this way, by establishing a three-tiered cloud architecture of bureau, section, and institute servers, it is possible to receive the work plans formulated by the terminal equipment and the detection data and status data of the detection robot, thereby realizing the local storage and hierarchical statistics of the detection data, which not only ensures the storage speed of wheel detection data, but also ensures the privacy protection between different users.

[0123] Please see Figure 9 In some implementations, the control method further includes:

[0124] 34: Receive control commands from terminal devices;

[0125] 35: Send control commands to the inspection robot to control the inspection robot to perform the corresponding actions.

[0126] Specifically, the server can receive work plans and single-step action instructions for equipment components transmitted from terminal devices. It should be noted that the single-step action of the equipment component refers to the movement of the detection robot and the swinging of the robot arm operated by the terminal device. Then, the data is uploaded to the wheel and axle flaw detection network monitoring platform. The server then sends the work plan and the single-step action instructions for the equipment components to the detection robot. Finally, the detection robot performs the detection of the train wheels according to the work plan and executes the corresponding actions according to the single-step action instructions for the equipment components.

[0127] In this way, by using a server to transmit the work plan formulated by the terminal device, control the inspection robot to execute the work, and receive the inspection data and status data uploaded by the inspection robot, the manual operation process is reduced, work efficiency is improved, and unnecessary errors that may occur during manual operation are avoided.

[0128] In the description of this specification, the terms "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with the described embodiment or example that are included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described can be combined in any suitable manner in one or more embodiments or examples. In addition, those skilled in the art can combine and integrate the different embodiments or examples described in this specification and the features of different embodiments or examples without contradiction. Meanwhile, the terms "first," "second," etc., are intended to distinguish similar or related operations. There is a logical relationship between "first" and "second" in some embodiments, but not necessarily in others. This relationship needs to be determined based on the actual embodiments and should not be judged solely by the literal meaning of the terms.

[0129] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing a particular logical function or process, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the function involved, as will be understood by those skilled in the art to which embodiments of this application pertain.

[0130] Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of this application.

Claims

1. A control method for a detection robot in a detection system, characterized in that, The detection system also includes terminal devices and a server. The detection robot communicates with the server, and the terminal device also communicates with the server. The detection system also includes multiple detection robots, which form a local area network and communicate with the server. The multiple detection robots establish a clustered operation system architecture to achieve clustered control of the detection robots. It can intelligently allocate work tasks based on information such as the robot's status and the parking position of the inspected vehicle, obtain the robot's status in real time, and remotely control the robot's actions. The detection system includes multiple operation modes, such as fully automatic operation mode, semi-automatic operation mode, and offline operation mode. The control method includes: Obtain the work plan from the server; the work plan includes at least one of automatic online deployment of sample wheelsets, start-up inspection, and completion inspection; The train wheels are inspected according to the work plan, and inspection data is generated. Send the detection data and status data to the server; The inspection robot obtains the work plan formulated by the flaw detection personnel from the server platform, and then selects a comparison sample wheel that matches the train wheels according to the work plan. The matching comparison sample wheel undergoes system calibration and start-up verification to obtain the inspection data and status data of the comparison sample wheel. After inspecting the train wheels according to the work plan, the inspection robot generates the status data and inspection data of the wheels, and then sends the inspection data and status data to the server's cloud platform. After the actual vehicle inspection is completed, the inspection data of the matching comparison sample wheel is used to perform completion verification; the robot also obtains the offline work plan from the mobile storage device, and inspects the train according to the offline work plan to generate inspection data; and checks the network connection status with the server. The system performs the following operations: Under normal network connection conditions, the detection data is sent to the server; or under abnormal network connection conditions, the detection data is sent to the removable storage device. In offline operation, the pre-defined work plan is copied to the detection robot via the removable storage device and imported. The detection robot can then automatically execute the plan, and the detection data is saved to the robot's local storage. After the plan is completed, the network connection status between the detection robot and the server is determined. Under normal network connection conditions, the detection data is sent to the server; or under abnormal network connection conditions, all detection data is manually copied to the removable storage device, imported, and analyzed using offline analysis software.

2. The control method according to claim 1, characterized in that, The control method further includes: Obtain control commands for the terminal device from the server; The action corresponding to the control command is executed according to the control command.

3. A control method for a terminal device of a detection system, characterized in that, For implementing the control method as described in any one of claims 1-2, the detection system further includes multiple detection robots and a server, and the terminal device also communicates with the server; the control method includes: Generate a job plan based on user input; The work plan is sent to the server so that the inspection robot can inspect the train wheels and obtain inspection data according to the work plan; Receive the detection data transmitted by the server and generate detection results based on the detection data.

4. The control method according to claim 3, characterized in that, The control method further includes: Send control commands to the server to control the detection robot to perform corresponding actions.

5. A control method for detecting the server of a system, characterized in that, For implementing the control method as described in any one of claims 1-2, the detection system further includes multiple detection robots and terminal devices, the terminal devices communicating with the server, and the control method comprising: Receive the job plan sent by the terminal device; The work plan is sent to the inspection robot so that the inspection robot can inspect the train wheels and obtain inspection data according to the work plan; Receive the detection data and status data from the detection robot.

6. The control method according to claim 5, characterized in that, The control method further includes: Receive control commands from the terminal device; The control command is sent to the detection robot to control the detection robot to perform the corresponding action.

7. An inspection robot for use in an inspection system, characterized in that, For implementing the control method as described in any one of claims 1-2, the detection system further includes a terminal device and a server, the terminal device communicating with the server, the detection robot communicating with the server, and the detection robot being used for: Obtain the job plan from the server; The train wheels are inspected according to the work plan, and inspection data is generated. The detection data and status data are sent to the server.

8. A terminal device for a detection system, characterized in that, For implementing the control method as described in any one of claims 1-2, the detection system further includes multiple detection robots and a server, the terminal device communicating with the server, and the terminal device being used for: Generate a job plan based on user input; The work plan is sent to the server so that the inspection robot can inspect the train wheels and obtain inspection data according to the work plan; Receive the detection data transmitted by the server and generate detection results based on the detection data.

9. A server for a detection system, characterized in that, For implementing the control method as described in any one of claims 1-2, the detection system further includes multiple detection robots and terminal devices, the terminal devices communicating with the server, the server being used for: Receive the job plan sent by the terminal device; The work plan is sent to the inspection robot so that the inspection robot can inspect the train wheels and obtain inspection data according to the work plan; Receive the detection data and status data from the detection robot.

10. A detection system, characterized in that, For implementing the control method as described in any one of claims 1-2, the detection system includes a terminal device, a server, and multiple detection robots, wherein the terminal device communicates with the server; The terminal device is used to generate a job plan and send the job plan to the server; The inspection robot is used to acquire the work plan, inspect the train wheels according to the work plan to obtain inspection data, and send the inspection data and status data to the server; The terminal device is also used to obtain detection data and status data from the server and generate detection results.

11. The detection system according to claim 10, characterized in that, The terminal device is also used to send control commands to the server to control the operation of the terminal device.

12. The detection system according to claim 10, characterized in that, The inspection robot is also used to acquire the offline work plan of the mobile storage device, inspect the train according to the offline work plan to generate inspection data, and detect the network connection status with the server. If the network connection is normal, the detection data is sent to the server; or In the event of an abnormal network connection, the detection data is sent to the mobile storage device.

Images