Autonomous recovery method and system based on industrial-grade 5G robot production line failure

Abstract

The present invention discloses an autonomous recovery method based on an industrial-grade 5G robot production line failure, comprising the following steps: S1, the robot reports status information and motion data; S2, the industrial-grade 5G gateway writes the motion data to the hardware storage device, and the industrial-grade 5G gateway uploads the status information to the background management system through the 5G network; S3, the background management system determines whether the production line robot is working normally: if the same, continue the subsequent work; if different, proceed to step S4; S4, the background management system broadcasts a specified message, and all production line robots stop executing actions immediately after receiving the specified message; S5, the background management system notifies the faulty robot to perform a reset operation. After the reset is completed, the industrial-grade 5G gateway uploads the motion data to the robot body, continues the action at the time of the failure, and runs autonomously to achieve the purpose of unattended intelligent production.

Description

Technical Field

[0001] The present invention relates to the field of industrial automation and intelligent manufacturing, and in particular to an autonomous recovery method and system based on industrial-grade 5G robot production line failures. Background Art

[0002] Currently, smart manufacturing companies usually use robot production lines to achieve automated production. For the management and maintenance of production line machines, each robot at each workstation is usually managed, detected and alarmed independently. Since the hardware of the robot is fixed, most of the failures are caused by the long-term operation of the motion control program or software. The handling of robot failures and problems requires real-time manual inspections, and then manual troubleshooting to eliminate the failures. The advantage of using conventional management methods is that problems can be discovered and handled, and the smooth operation of the production line can be guaranteed. The disadvantage is that there is no unified management platform.

[0003] There is no communication between robots. When a fault occurs, other robots are still running normally, causing waste or blockage. In addition, the production line requires manual real-time inspection and troubleshooting, and the frequency of manual inspection and problem handling are not timely, resulting in extended production line downtime and affecting production efficiency. Therefore, the usual practice is difficult to meet the requirements of "smart manufacturing" and "black light plan".

[0004] In order to realize true "intelligent manufacturing" and "dark light plan" and solve the problem of efficiency affected by production line robot failure, the inventor found that the problem was mainly caused by the fact that the production line robots were independent of each other and did not communicate with each other, and the management and fault detection background were not considered when conducting research on automatic production processes. Summary of the invention

[0005] In order to solve the above technical problems, the present invention provides an autonomous recovery method and system based on industrial-grade 5G robot production line failures. The method and system can solve the defects of production line shutdown caused by robot failures due to untimely manual inspections or unmanned inspections.

[0006] The technical solution of the present invention is: an autonomous recovery method based on industrial-grade 5G robot production line failure, comprising the following steps:

[0007] S1, the robot reports status information and motion data;

[0008] S2. The industrial-grade 5G gateway writes motion data to the hardware storage device, and the industrial-grade 5G gateway uploads the status information to the background management system through the 5G network;

[0009] S3. The backend management system determines whether the production line robot is working normally: first, the robot's working state and motion data stored in the 5G gateway are compared with the robot's current working state in real time. If they are the same, the subsequent work continues; if they are different, the process proceeds to step S4;

[0010] S4. The background management system broadcasts the specified message, and all production line robots immediately stop executing actions after receiving the specified message;

[0011] S5. The background management system notifies the faulty robot to perform the reset operation. After the reset is completed, the industrial-grade 5G gateway uploads the motion data to the robot body.

[0012] Furthermore, the method further comprises the steps of:

[0013] S6: The robot applies the latest motion data, restarts and reports the latest status;

[0014] S7, after receiving the normal working status, the background management system broadcasts the re-run command;

[0015] S8. The production line robot re-executes the movement.

[0016] Furthermore, the step 2 includes:

[0017] The robot itself actively reports the current working status and motion data to the industrial-grade 5G gateway in real time;

[0018] When in working state, the industrial-grade 5G gateway will report to the background management system through the network. After receiving it, the background management system will reply with confirmation and transmit it to the robot through the 5G network.

[0019] Furthermore, the robot motion data is written into a fixed area of ​​the hardware storage device by the industrial-grade 5G gateway, and after writing is completed, it is fed back to the robot body through the connection port.

[0020] Furthermore, the hardware storage device includes a USB flash drive, an SD card or a TF card, which is used to store the real-time action program and position status information of the current robot body.

[0021] An autonomous recovery system based on industrial-grade 5G robot production line failure, the system includes:

[0022] Backend management system, 5G core network 5GC, 5G baseband processing unit BBU, 5G HUB, 5G radio remote unit RRU or AAU, multiple 5G gateways and multiple production line robots;

[0023] The backend management system is connected to the 5G core network via a network cable; the 5G baseband processing unit BBU is connected to the 5G core network via an optical fiber; the 5G HUB is connected to the 5G baseband processing unit BBU via an optical fiber; the 5G radio remote unit RRU or AAU is connected to the 5G HUB via an optical fiber; the 5G gateway is connected to the 5G core network and the backend management system via a 5G network.

[0024] Furthermore, the 5G gateway corresponds one-to-one to the production line robot, the 5G gateway is connected to the production line robot, and is powered by the production line robot.

[0025] Furthermore, the 5G gateway and the robot communicate via a LAN, SPI, UART, RS232 or CAN high-speed interface for data transmission.

[0026] Furthermore, the 5G HUB supports POE power supply.

[0027] Furthermore, the background management system is used to detect the robot status, determine the robot failure, and send a command to restore the initial settings to the robot through the 5G network.

[0028] The beneficial technical effects of the present invention are:

[0029] 1. Communication with the robot is achieved through the industrial-grade 5G gateway. At the same time, the industrial-grade 5G gateway stores the motion data of each production line robot. Through the judgment and operation of the background system, the status detection of the production line robot and the autonomous recovery of operation in case of failure are realized, which solves the problem of production line suspension and production efficiency affected due to manpower shortage or inadequate manpower inspection, and improves the intelligence and unmanned operation of the production line.

[0030] 2. Through the large bandwidth and low latency characteristics of the 5G network, the data is uploaded to the memory area of ​​the background management software in real time, and the background is responsible for managing and transmitting the robot's daily movement data.

[0031] 3. By connecting a storage device to the robot body or gateway, the current robot's actions are stored in real time, and then connected through a designated dedicated network, unified access to the backend management platform is facilitated to uniformly monitor and manage the robots at each station on the production line.

[0032] 4. The industrial-grade 5G gateway can write the robot's real-time motion data and location information into the designated area of ​​the hardware storage device and feed it back to the robot. At the same time, the industrial 5G gateway transmits the robot's real-time motion data and location information to the background management system through the 5G network communication system. The background management system monitors and manages the status of the production line robots in real time, realizes the status detection of the production line robots and autonomous recovery of operations when failures occur, solves the problem of production line suspension and production efficiency affected due to manpower shortages or inadequate manpower inspections, and improves the intelligence and unmanned operation of the production line.

[0033] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention and implement it according to the contents of the specification, the following is a detailed description of the preferred embodiments of the present invention in conjunction with the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 is a flow chart of the autonomous recovery method of the present invention;

[0035] Figure 2 It is a communication flow chart between the background management system and the robot of the present invention;

[0036] Figure 3 This is a flow chart of the background management system of the present invention for determining robot failure. DETAILED DESCRIPTION

[0037] In order to more clearly understand the technical means of the present invention and implement it according to the contents of the specification, the specific implementation methods of the present invention are further described in detail below in conjunction with the drawings and examples. The following examples are used to illustrate the present invention but are not used to limit the scope of the present invention.

[0038] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application 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 numbers used in this way can be interchanged where appropriate, so as to describe the embodiments of the present application described herein.

[0039] In the description of the present invention, it should be noted that the terms "center", "up", "down", "left", "right", "vertical", "horizontal", "inside", "outside", etc. indicate directions or positional relationships based on the directions or positional relationships described in the embodiments and shown in the accompanying drawings, or are directions or positional relationships in which the inventive product is usually placed when used. They are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore should not be understood as a limitation on the present invention.

[0040] like Figure 1 As shown, the present invention specifically relates to an autonomous recovery method based on an industrial-grade 5G robot production line failure, comprising the following steps:

[0041] S1, the robot reports status information and motion data;

[0042] S2. The industrial-grade 5G gateway writes motion data to the hardware storage device, and the industrial-grade 5G gateway uploads the status information to the background management system through the 5G network;

[0043] The step 2 includes:

[0044] The robot itself actively reports the current working status and motion data to the industrial-grade 5G gateway in real time;

[0045] When in working state, the industrial-grade 5G gateway will report to the background management system through the network. After receiving it, the background management system will reply with confirmation and transmit it to the robot through the 5G network.

[0046] The robot's motion data is written into a fixed area of ​​the hardware storage device by the industrial-grade 5G gateway. After writing is completed, it is fed back to the robot body through the connection port, enabling the robot and the industrial-grade 5G gateway to establish real-time communication functions.

[0047] The hardware storage device includes a USB flash drive, an SD card or a TF card, which is used to store the real-time action program and position status information of the current robot body.

[0048] Among them, the robot can transmit the current status to the background management system through the industrial-grade 5G network in real time. At the same time, the robot transmits the real-time action to the industrial-grade 5G gateway, which then writes it to the designated partition of the hardware storage device at high speed.

[0049] In addition, the hardware storage device can be inserted into the industrial-grade 5G gateway, and the industrial-grade 5G gateway writes the robot's real-time motion data into the specified area of ​​the hardware storage device;

[0050] Furthermore, the robot's real-time motion data can also be stored in the designated area of ​​the robot's own hardware storage device, and the data will not be lost due to restart, crash, etc.

[0051] S3. The backend management system determines whether the production line robot is working normally: first, the robot's working state and motion data stored in the 5G gateway are compared with the robot's current working state in real time. If they are the same, the subsequent work continues; if they are different, the process proceeds to step S4;

[0052] like Figure 3 As shown in the figure, the process of the background management system to judge robot failure is as follows:

[0053] 1. The background robots report the current status information to the background management system.

[0054] 2. After receiving the message, the background management system parses each message.

[0055] 3. Parse the current robot ID and robot status data from the message.

[0056] 4. The background management software determines whether the current robot is running normally based on the ID and robot status information.

[0057] 5. If the operation is normal, the background management software will add a flag parameter for executing the next operation in the reply message. After receiving it, the robot will perform the next movement.

[0058] 6. If there is any abnormality in operation, the background management software will notify all robots in the current production line to stop moving and producing through broadcast messages.

[0059] S4. The background management system broadcasts the specified message, and all production line robots immediately stop executing actions after receiving the specified message;

[0060] It should be noted that if a robot fails, the background management system will notify all robots to suspend the current operation and maintain the current position and action.

[0061] S5. The background management system notifies the faulty robot to perform the reset operation. After the reset is completed, the industrial-grade 5G gateway uploads the motion data to the robot body.

[0062] The backend management system identifies the faulty robot based on the flag and sends a reset motion control software function to the robot. After receiving the command, the robot body quickly performs the reset work. After the robot completes the reset work, it reports a message to the backend management system to inform that the reset has been completed.

[0063] The background management system sends a message to the gateway of the faulty robot, informing the gateway to upload the motion data in the storage card to the robot body.

[0064] Furthermore, the method further comprises the steps of:

[0065] S6: The robot applies the latest motion data, restarts and reports the latest status;

[0066] Among them, the latest motion data is the data before the robot fails and stored in the industrial-grade 5G gateway. When the industrial-grade 5G gateway receives the import instruction from the background management system, it can upload the action program and current status data in the storage card to the robot's main operating system through the established protocol; by uploading this data, it is ensured that the robot can continue the action at the time of the previous failure.

[0067] After confirming that the data transmission is complete, the robot applies the latest data and completes the restart and self-check.

[0068] After the self-check is successful, the status message will be reported to the background management system.

[0069] S7, after receiving the normal working status, the background management system broadcasts the re-run command;

[0070] S8. The production line robot re-executes the movement.

[0071] Through the above steps, autonomous recovery of production line robot failures can be achieved, and unmanned intelligent manufacturing and blackout plans can be realized.

[0072] like Figure 2 As shown, an autonomous recovery system based on industrial-grade 5G robot production line failure, the system includes:

[0073] Backend management system, 5G core network 5GC, 5G baseband processing unit BBU, 5G HUB, 5G radio remote unit RRU or AAU, multiple 5G gateways and multiple production line robots;

[0074] The backend management system is connected to the 5G core network via a network cable; the 5G baseband processing unit BBU is connected to the 5G core network via an optical fiber; the 5G HUB is connected to the 5G baseband processing unit BBU via an optical fiber; the 5G radio remote unit RRU or AAU is connected to the 5G HUB via an optical fiber; the 5G gateway is connected to the 5G core network and the backend management system via a 5G network.

[0075] The 5G dedicated network communication system ensures low latency and high reliability during data transmission.

[0076] The 5G gateway corresponds one-to-one to the production line robot. The 5G gateway is connected to the production line robot and is powered by the production line robot.

[0077] The 5G gateway and the robot communicate via LAN, SPI, UART, RS232 or CAN high-speed interface for data transmission.

[0078] The 5G HUB supports POE power supply, which is used to power the RRU or AAU, avoiding the inability to install a 220V power supply at the RRU or AAU deployment location due to construction inconvenience.

[0079] The background management system is used to detect the robot status, determine robot failure, and send a command to restore the initial settings to the robot through the 5G network.

[0080] Among them, the background management system is a comprehensive management system for intelligent production line robots, which is mainly used to add production line robots, record robot parameter information, determine whether the robot is online, determine whether the robot is abnormal, and issue instructions to the robot.

[0081] The above embodiments are only specific implementation methods of the present invention, which are used to illustrate the technical solutions of the present invention rather than to limit them. The protection scope of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the aforementioned embodiments, ordinary technicians in the field should understand that any technician familiar with the technical field can still modify the technical solutions recorded in the aforementioned embodiments within the technical scope disclosed by the present invention, or can easily think of changes, or make equivalent replacements for some of the technical features therein; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be covered within the protection scope of the present invention.

Claims

1. An autonomous recovery method based on industrial-grade 5G robot production line failure, characterized in that: The following steps are included: S1, the robot reports status information and motion data; S2. The industrial-grade 5G gateway writes motion data to the hardware storage device, and the industrial-grade 5G gateway uploads the status information to the background management system through the 5G network; S3. The backend management system determines whether the production line robot is working normally: first, the robot's working state and motion data stored in the 5G gateway are compared with the robot's current working state in real time. If they are the same, the subsequent work continues; if they are different, the process proceeds to step S4; S4. The background management system broadcasts the specified message, and all production line robots immediately stop executing actions after receiving the specified message; S5. The backend management system notifies the faulty robot to perform a reset operation. After the reset is completed, the industrial-grade 5G gateway uploads the motion data to the robot body; S6: The robot applies the latest motion data, restarts and reports the latest status; S7, after receiving the normal working status, the background management system broadcasts the re-run command; S8. The production line robot re-executes the movement.

2. The autonomous recovery method based on industrial-grade 5G robot production line failure according to claim 1 is characterized in that: The step 2 comprises; The robot itself actively reports the current working status and motion data to the industrial-grade 5G gateway in real time; When in working state, the industrial-grade 5G gateway will report to the background management system through the network. After receiving it, the background management system will reply with confirmation and transmit it to the robot through the 5G network.

3. The autonomous recovery method based on industrial-grade 5G robot production line failure according to claim 2 is characterized in that: The robot motion data is written into a fixed area of ​​the hardware storage device by the industrial-grade 5G gateway, and after writing is completed, it is fed back to the robot body through the connection port.

4. The autonomous recovery method based on industrial-grade 5G robot production line failure according to claim 3 is characterized in that: The hardware storage device includes a USB flash drive, an SD card or a TF card, which is used to store the real-time action program and position status information of the current robot body.

5. An autonomous recovery system based on industrial-grade 5G robot production line failure, using any one of the autonomous recovery methods in claims 1-4, characterized in that: The system includes: Backend management system, 5G core network 5GC, 5G baseband processing unit BBU, 5G HUB, 5G radio remote unit RRU or AAU, multiple 5G gateways and multiple production line robots; The backend management system is connected to the 5G core network via a network cable; the 5G baseband processing unit BBU is connected to the 5G core network via an optical fiber; the 5G HUB is connected to the 5G baseband processing unit BBU via an optical fiber; the 5G radio remote unit RRU or AAU is connected to the 5G HUB via an optical fiber; the 5G gateway is connected to the 5G core network and the backend management system via a 5G network.

6. The autonomous recovery system based on industrial-grade 5G robot production line failure according to claim 5 is characterized in that: The 5G gateway corresponds one-to-one to the production line robot. The 5G gateway is connected to the production line robot and is powered by the production line robot.

7. The autonomous recovery system based on industrial-grade 5G robot production line failure according to claim 6 is characterized in that: The 5G gateway and the robot communicate via LAN, SPI, UART, RS232 or CAN high-speed interface for data transmission.

8. The autonomous recovery system based on industrial-grade 5G robot production line failure according to any one of claims 5-7, characterized in that: The 5G HUB supports POE power supply.

9. The autonomous recovery system based on industrial-grade 5G robot production line failure according to claim 5 is characterized in that: The background management system is used to detect the robot status, determine robot failure, and send a command to restore the initial settings to the robot through the 5G network.

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