Industrial robot flexible automatic control device based on PC and AI fusion
By using a PC- and AI-integrated flexible automation control device for industrial robots, combined with deep learning computing chips and parallel computing capabilities, the problem of poor flexibility in traditional industrial robots has been solved, achieving efficient and intelligent production management.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- SHENZHEN SOLID TECH CO LTD
- Filing Date
- 2025-04-16
- Publication Date
- 2026-05-26
AI Technical Summary
Traditional industrial robot control devices lack flexibility, making it difficult to cope with complex and ever-changing production tasks. Their data processing and analysis capabilities are also limited, failing to meet the demands for efficient and flexible production.
The system employs a control device that integrates PC and AI, combining components such as an industrial PC, AI processor module, sensor interface module, vision sensor, force sensor, position sensor, and communication module to achieve flexible automated control of industrial robots. It utilizes deep learning computing chips and parallel computing capabilities for intelligent decision-making and data processing.
It enhances the production flexibility and adaptability of industrial robots, and optimizes control strategies through collaborative processing and real-time communication of multi-sensor data, thereby achieving efficient and intelligent production management.
Smart Images
Figure CN224275080U_ABST
Abstract
Description
Technical Field
[0001] This utility model relates to the field of industrial automation control technology, and in particular to a flexible automation control device for industrial robots based on the integration of PC and AI. Background Technology
[0002] Industrial robots are increasingly widely used in industrial production. Traditional industrial robot control devices are mostly based on fixed program logic, which has poor flexibility and makes it difficult to cope with complex and ever-changing production tasks. With the development of Industry 4.0 and intelligent manufacturing, the requirements for the flexibility and intelligence of industrial robots are becoming increasingly higher.
[0003] Existing control devices face challenges such as difficulty in reprogramming and slow response speed when dealing with product diversification and frequent adjustments to production processes, failing to meet the demands for efficient and flexible production. Moreover, traditional control devices have limited data processing and analysis capabilities, failing to fully utilize the large amounts of data generated during production to optimize control strategies. Therefore, a flexible automation control device for industrial robots based on the integration of PC and AI is proposed. Utility Model Content
[0004] In view of this, the present invention aims to provide a flexible automation control device for industrial robots based on the integration of PC and AI, so as to solve or alleviate the technical problems existing in the prior art, or at least provide a beneficial option.
[0005] The technical solution of this utility model embodiment is implemented as follows: a flexible automation control device for industrial robots based on the integration of PC and AI, including a control component, wherein the control component includes an industrial PC, a PCI bus, a motion control card, an AI processor module, a sensor interface module, a vision sensor, a force sensor, a position sensor, a communication module, an industrial robot body, a host computer, production equipment, and robot joint motors;
[0006] The output of the industrial PC is electrically connected to the input of the motion control card via a PCI bus. The output of the AI processor module is electrically connected to the input of the industrial PC. The output of the sensor interface module is electrically connected to the inputs of both the industrial PC and the AI processor module. The input of the sensor interface module is electrically connected to a vision sensor, a force sensor, and a position sensor. The input of the communication module is electrically connected to the output of the industrial PC. The output of the communication module is electrically connected to the industrial robot body, the host computer, and multiple production devices. The industrial robot body has multiple robot joint motors installed inside. The output of the motion control card is electrically connected to the input of the robot joint motors.
[0007] More preferably, the industrial PC receives data from the sensor interface module and interacts with the industrial robot body, the host computer, and multiple production devices through the communication module.
[0008] More preferably, the AI processor module uses a deep learning computing chip and has parallel computing capabilities.
[0009] More preferably, the vision sensor has an image distortion correction function, the force sensor has a measurement accuracy of ±.N, and the position sensor uses an absolute encoder.
[0010] More preferably, the communication module supports a real-time data transmission protocol.
[0011] A further preferred embodiment includes a data storage module, which is electrically connected to an industrial PC.
[0012] A further preferred embodiment includes a fault diagnosis module, which is electrically connected to the industrial PC, motion control card, sensor interface module, and communication module, respectively.
[0013] Further preferably, it also includes a power module, the output of which is electrically connected to the input of the industrial PC, AI processor module, motion control card, sensor interface module and communication module.
[0014] The present invention has the following advantages due to the adoption of the above technical solution:
[0015] This invention enables industrial robots to autonomously adjust their motion strategies according to different production conditions through an AI processor module that utilizes deep learning computing chips and parallel computing capabilities, eliminating the need for extensive manual programming and greatly improving production flexibility and adaptability. Simultaneously, the industrial PC and AI processor collaboratively process data from multiple sensors, coupled with a high-speed solid-state drive data storage module, providing strong support for optimizing control strategies. The communication module achieves real-time communication and system interconnection through various protocols, facilitating intelligent production management.
[0016] The above overview is for illustrative purposes only and is not intended to be limiting in any way. In addition to the illustrative aspects, embodiments, and features described above, further aspects, embodiments, and features of the present invention will become readily apparent from the accompanying drawings and the following detailed description. Attached Figure Description
[0017] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0018] Figure 1 This is a schematic diagram of the control structure of the flexible automation control device for industrial robots based on the integration of PC and AI according to this utility model.
[0019] Reference numerals: 1. Control component; 11. Industrial PC; 12. PCI bus; 13. Motion control card; 14. AI processor module; 15. Sensor interface module; 16. Vision sensor; 17. Force sensor; 18. Position sensor; 19. Communication module; 20. Industrial robot body; 21. Host computer; 22. Production equipment; 23. Robot joint motor; 24. Power supply module; 25. Data storage module; 26. Fault diagnosis module. Detailed Implementation
[0020] In the following description, only certain exemplary embodiments are briefly described. As those skilled in the art will recognize, the described embodiments can be modified in various ways without departing from the spirit or scope of this invention. Therefore, the drawings and description are considered exemplary in nature and not restrictive.
[0021] The embodiments of this utility model will now be described in detail with reference to the accompanying drawings.
[0022] like Figure 1 As shown, this utility model embodiment provides a flexible automation control device for industrial robots based on the integration of PC and AI, including a control component 1. The control component 1 includes an industrial PC 11, a PCI bus 12, a motion control card 13, an AI processor module 14, a sensor interface module 15, a vision sensor 16, a force sensor 17, a position sensor 18, a communication module 19, an industrial robot body 20, a host computer 21, a production equipment 22, and a robot joint motor 23.
[0023] The output of industrial PC 11 is electrically connected to the input of motion control card 13 via PCI bus 12. The output of AI processor module 14 is electrically connected to the input of industrial PC 11. The output of sensor interface module 15 is electrically connected to the inputs of industrial PC 11 and AI processor module 14. The input of sensor interface module 15 is electrically connected to vision sensor 16, force sensor 17, and position sensor 18. The input of communication module 19 is electrically connected to the output of industrial PC 11. The output of communication module 19 is electrically connected to industrial robot body 20, host computer 21, and multiple production devices 22. Multiple machines are installed inside industrial robot body 20. The robot joint motor 23 is electrically connected to the input terminal of the motion control card 13 via its output terminal. The industrial PC 11, acting as the core control unit, is connected to the motion control card 13 via the PCI bus 12, a high-speed data transmission bus. The industrial PC 11 uses this bus to precisely and quickly transmit processed and decided motion control commands to the motion control card 13, thereby directing the motion control card 13 to drive the robot joint motor 23 and determine the robot's trajectory and actions. The AI processor module 14 is electrically connected to the input terminal of the industrial PC 11 via its output terminal. The AI processor module 14 employs a deep learning computing chip and possesses parallel computing capabilities. The computing power enables rapid analysis and processing of large amounts of data, generating intelligent decision-making results regarding the industrial robot's motion strategy. These results are then transmitted to the industrial PC 11, providing intelligent support for the overall task scheduling and management of the industrial PC 11. The sensor interface module 15 connects to the vision sensor 16, force sensor 17, and position sensor 18, and is responsible for collecting data from these sensors regarding the working scene, robot forces, and joint positions. After preprocessing, the sensor interface module 15 transmits the data to the industrial PC 11 and the AI processor module 14, respectively, providing raw data for the industrial PC 11's decision-making and the AI processor module 14's intelligent algorithm analysis. The basic structure includes a communication module 19 whose input is connected to the output of an industrial PC 11, receiving data that the industrial PC 11 needs to transmit. The output of the communication module 19 connects to the industrial robot body 20, the host computer 21, and multiple production devices 22. It utilizes various communication protocols to achieve data interaction between different devices. For example, it uses Ethernet to transmit data at high speed to the host computer 21, receiving production task instructions and uploading production data and equipment status information; it uses a CAN bus to communicate with the joint drivers of the industrial robot body 20, ensuring the real-time performance and stability of motion control; and it uses the Modbus protocol to communicate with third-party production devices 22, achieving interconnectivity throughout the entire production system.The industrial robot body 20 is equipped with multiple robot joint motors 23. These motors are the actuators that enable the robot to perform various actions. The output end of the motion control card 13 is connected to the input end of the robot joint motors 23. According to the instructions received from the industrial PC 11, the motion control card 13 drives the robot joint motors 23 to operate, thereby causing the joints of the industrial robot body 20 to move, enabling the robot to complete the corresponding production operation tasks.
[0024] In one embodiment, specifically: the industrial PC 11 receives data from the sensor interface module 15 and interacts with the industrial robot body 20, the host computer 21 and multiple production devices 22 through the communication module 19. The industrial PC 11 runs the operating system and control software, thereby being responsible for overall task scheduling and management.
[0025] In one embodiment, specifically: the AI processor module 14 adopts a deep learning computing chip and has parallel computing capabilities. Through the parallel computing capabilities of the AI processor module 14, massive amounts of data can be processed per unit time, thereby meeting the speed requirements of complex artificial intelligence algorithms and efficiently providing intelligent decision-making and optimization solutions for the movement of industrial robots.
[0026] In one embodiment, specifically: the vision sensor 16 has an image distortion correction function, the force sensor 17 has a measurement accuracy of ±0.01N, and the position sensor 18 uses an absolute encoder; through the image distortion correction function of the vision sensor 16, the accuracy of the acquired work scene image information is ensured, improving the accuracy of workpiece position, shape, and posture recognition; by using the force sensor 17 with a measurement accuracy of ±0.01N, the minute force and torque changes experienced by the robot during operation can be accurately detected, providing reliable data for the robot's force control and collision detection; by using an absolute encoder as the position sensor 18, the absolute position information of each joint of the robot can be directly output, avoiding the loss of position information due to power failure or other reasons, and ensuring the stability and accuracy of motion control feedback.
[0027] In one embodiment, specifically: the communication module 19 supports a real-time data transmission protocol, thereby ensuring the timeliness and reliability of data communication between the control device and the industrial robot body 20, the host computer 21, and the production equipment 22 in an industrial production environment.
[0028] In one embodiment, specifically: it also includes a data storage module 25, which is electrically connected to the industrial PC 11. The data storage module 25 adopts a high-speed solid-state drive and is electrically connected to the industrial PC 11 to store production process data, robot motion trajectory data, and artificial intelligence algorithm models, providing support for subsequent data analysis and model optimization.
[0029] In one embodiment, specifically: it also includes a fault diagnosis module 26, which is electrically connected to the industrial PC 11, motion control card 13, sensor interface module 15 and communication module 19 respectively. The fault diagnosis module 26 facilitates real-time monitoring of the operating status of the industrial PC 11, motion control card 13, sensor interface module 15 and communication module 19. Once a fault is detected, the fault point is quickly located and an alarm is issued through a preset algorithm.
[0030] In one embodiment, specifically: it also includes a power supply module 24, the output of which is electrically connected to the input of the industrial PC 11, AI processor module 14, motion control card 13, sensor interface module 15, and communication module 19. The power supply module 24 facilitates the provision of a stable power supply to the industrial PC 11, AI processor module 14, motion control card 13, sensor interface module 15, and communication module 19. Its built-in intelligent voltage regulator circuit dynamically adjusts the output voltage according to the actual power demand of each module.
[0031] In operation, this invention works as follows: First, a vision sensor 16, installed above the end effector or work area of the industrial robot, uses its image distortion correction function to collect image information of the work scene. Then, a force sensor 17, installed on the robot joints or end effector, detects the forces and torques during robot operation with a measurement accuracy of ±0.01N. Finally, a position sensor 18, employing an absolute encoder, accurately measures the position of each joint of the robot. Next, a sensor interface module 15 receives data collected by the vision sensor 16, force sensor 17, and position sensor 18. After preprocessing the collected data, the sensor interface module 15 transmits the data to the industrial PC 11 and the AI processor module 14. The AI processor module 14, leveraging its deep learning computing chip and parallel computing capabilities, uses deep learning algorithms to intelligently decide and optimize the industrial robot's motion strategy based on the received data, generating optimized motion control commands and transmitting the results to the industrial PC 11. The industrial PC 11 receives the data from the sensor interface module. The data from the interface module 15 and the decision results from the AI processor module 14 are used for overall task scheduling and management. The industrial PC 11 sends motion control commands to the motion control card 13 via the PCI bus 12. The motion control card 13 drives the robot joint motors 23 inside the industrial robot body 20 according to the received commands, so that the robot can perform tasks according to the predetermined trajectory and movements to complete the corresponding production operations. At the same time, the industrial PC 11 interacts with the industrial robot body 20, the host computer 21 and multiple production devices 22 through the communication module 19. The communication module 19 supports real-time data transmission protocols and uses Ethernet to conduct high-speed data transmission with the host computer 21, receiving production task commands and uploading production data and equipment status information. It communicates with the robot's joint drivers (associated with the robot joint motors 23) through the CAN bus to ensure the real-time performance and stability of motion control. It communicates with third-party production devices 22 through the Modbus protocol to realize the interconnection of the production system and enable the entire production process to operate collaboratively.
[0032] The above description is merely a specific embodiment of this utility model, but the protection scope of this utility model is not limited thereto. Any person skilled in the art can easily conceive of various variations or substitutions within the technical scope disclosed in this utility model, and these should all be included within the protection scope of this utility model. Therefore, the protection scope of this utility model should be determined by the protection scope of the claims.
Claims
1. A flexible automated control device for industrial robots based on the integration of PC and AI, characterized in that: The system includes a control component (1), which includes an industrial PC (11), a PCI bus (12), a motion control card (13), an AI processor module (14), a sensor interface module (15), a vision sensor (16), a force sensor (17), a position sensor (18), a communication module (19), an industrial robot body (20), a host computer (21), production equipment (22), and robot joint motors (23). The output of the industrial PC (11) is electrically connected to the input of the motion control card (13) via the PCI bus (12). The output of the AI processor module (14) is electrically connected to the input of the industrial PC (11). The output of the sensor interface module (15) is electrically connected to the input of the industrial PC (11) and the AI processor module (14). The input of the sensor interface module (15) is electrically connected to a vision sensor (16), a force sensor (17), and a position sensor (18). The input of the communication module (19) is electrically connected to the output of the industrial PC (11). The output of the communication module (19) is electrically connected to the industrial robot body (20), the host computer (21), and multiple production devices (22). Multiple robot joint motors (23) are installed inside the industrial robot body (20). The output of the motion control card (13) is electrically connected to the input of the robot joint motors (23).
2. The flexible automated control device for industrial robots based on the fusion of PC and AI as described in claim 1, characterized in that: The industrial PC (11) receives data from the sensor interface module (15) and interacts with the industrial robot body (20), the host computer (21) and multiple production devices (22) through the communication module (19).
3. The flexible automated control device for industrial robots based on the fusion of PC and AI as described in claim 1, characterized in that: The AI processor module (14) uses a deep learning computing chip and has parallel computing capabilities.
4. The flexible automated control device for industrial robots based on the fusion of PC and AI as described in claim 1, characterized in that: The vision sensor (16) has an image distortion correction function, the force sensor (17) has a measurement accuracy of ±0.01N, and the position sensor (18) uses an absolute encoder.
5. The flexible automated control device for industrial robots based on the fusion of PC and AI according to claim 1, characterized in that: The communication module (19) supports real-time data transmission protocols.
6. The flexible automated control device for industrial robots based on the fusion of PC and AI according to claim 1, characterized in that: It also includes a data storage module (25) which is electrically connected to an industrial PC (11).
7. The flexible automated control device for industrial robots based on the fusion of PC and AI according to claim 1, characterized in that: It also includes a fault diagnosis module (26), which is electrically connected to an industrial PC (11), a motion control card (13), a sensor interface module (15), and a communication module (19).
8. The flexible automated control device for industrial robots based on the fusion of PC and AI according to claim 1, characterized in that: It also includes a power module (24), the output of which is electrically connected to the input of an industrial PC (11), an AI processor module (14), a motion control card (13), a sensor interface module (15), and a communication module (19).