Industrial equipment AI defect intelligent identification system and method based on multi-modal data

Abstract

The invention relates to the technical field of industrial equipment AI defect intelligent identification, in particular to an industrial equipment AI defect intelligent identification system and method based on multi-mode data, and the system comprises a multi-mode detection and identification assembly, one side of the multi-mode detection and identification assembly is provided with a connection point, and the connection point is provided with an installation part. The multi-mode detection and identification assembly is connected with the installation part, the multi-mode detection and identification assembly is electrically connected with an intelligent processing center, and the intelligent processing center is provided with a control alarm mechanism. According to the invention, the multi-mode detection and identification assembly can realize multi-data acquisition of industrial equipment, and is connected to the intelligent processing center after insulation processing, so that the intelligent processing center processes multi-source data, and the multi-source data is transmitted to the background of the control center through a related communication mode and can also be transmitted to a mobile phone in the presence of a network. Background recording and alarm operation are achieved, and workers can find problems in time.

Description

Technical Field

[0001] The present invention relates to the technical field of AI defect intelligent identification of industrial equipment, and in particular to an AI defect intelligent identification system and method for industrial equipment based on multimodal data. Background Art

[0002] Industrial defect detection is a comprehensive, full-process inspection of products during the manufacturing process using a series of technical means to identify possible defects, including cracks, scratches, stains, dimensional deviations, pores, inclusions, circuit problems, and other forms.

[0003] Image detection of industrial defects is one of the common technical means of industrial defect detection.

[0004] In existing technologies, image detection of industrial defects mainly relies on direct image comparison. However, in special circumstances such as changes in light brightness, light obstruction, and changes in product placement, originally defect-free products may be detected as defective products, resulting in erroneous detection results. As a result, the accuracy and reliability of industrial defect detection cannot be guaranteed, which in turn affects the normal production of products.

[0005] Publication number CN119810070A discloses an artificial intelligence-based industrial defect detection method and system. The system obtains historical inspection data and standard product images, identifies a stable inspection area, and captures an image of the standard area. Based on artificial intelligence, the system makes inspection adjustments and acquires inspection images. Images of corresponding areas are captured and compared for similarity to determine whether similar inspection conditions exist. When similar inspection conditions exist, defect detection and detection marking are performed on the inspection images. The system can determine a stable inspection area and capture an image of the standard area. During product inspection, images of corresponding areas are captured and compared for similarity. When similar inspection conditions exist, defect detection and marking are performed on the inspection images. This system enables verification prior to defect detection, avoids erroneous detection results, effectively improves the accuracy and reliability of industrial defect detection, and ensures normal product production.

[0006] The above technical solution uses images to identify product defects, but it cannot timely check the operation of industrial equipment. Abnormalities cannot be discovered in time. In the case of irregular startup and shutdown of industrial equipment, electrical hidden dangers cannot be discovered in time. Therefore, improvement is needed. Summary of the Invention

[0007] The purpose of the present invention is to address the shortcomings of the existing technology and propose an industrial equipment AI defect intelligent identification system and method based on multimodal data.

[0008] In order to achieve the above object, the present invention adopts the following technical solutions:

[0009] An AI defect intelligent identification system for industrial equipment based on multimodal data includes a multimodal detection and identification component, a connection point is provided on one side of the multimodal detection and identification component, a mounting component is installed on the connection point, the multimodal detection and identification component and the mounting component are connected, the multimodal detection and identification component is electrically connected to an intelligent processing center, and the intelligent processing center is provided with a control alarm mechanism;

[0010] The mounting component includes two parallel clamping plates, and opposite sides of the two clamping plates are provided with a resistance member and a connecting member. The two resistance members are in resistance with each other, and the two connecting members are rotatably connected by a horizontal axis. A tension spring is fixed between the two clamping plates, and a resistance plate is slidably installed on the clamping plate at the lower end. A sliding rod is fixed on one side of the resistance plate, and a sliding sleeve and a spring are sleeved on the sliding rod. The two ends of the spring are respectively fixed on the opposite sides of the sliding sleeve and the resistance plate. An oblique rod is rotatably connected between the sliding sleeve and the clamping plate at the upper end, and the multi-mode detection and identification component is connected to the resistance plate.

[0011] Preferably, the control alarm mechanism includes a communication device installed on the intelligent processing center, the communication device is connected to the control center, a network communication device is installed on one side of the communication device, and the network communication device is connected to a mobile phone.

[0012] Preferably, a slide rail is fixed on the clamping plate at the lower end, and the contact plate is slidably mounted on the slide rail.

[0013] Preferably, the end of the contact plate away from the sliding sleeve is arranged obliquely.

[0014] Preferably, the multi-mode detection and identification component includes a temperature detection component, an image acquisition component, an audio acquisition component and a circuit detection component.

[0015] Preferably, the connection points include the connection points of industrial equipment, the connection points of the copper busbar itself, and the connection points of the copper plate and the external connector.

[0016] Preferably, the mounting component is made of any one of thermally conductive insulating silica gel, thermally conductive insulating double-sided tape and a buckle.

[0017] Preferably, a transmission module, a communication management machine and a receiving module are installed in the communication device.

[0018] Preferably, the intelligent processing center is a patrol instrument.

[0019] The present invention also proposes an identification method for an industrial equipment AI defect intelligent identification system based on multimodal data, comprising the following steps:

[0020] S1. Component installation: When the rear ends of the two clamping plates are pressed to separate the two interference parts, the clamping plate at the upper end drives the inclined rod to move the sliding sleeve along the sliding rod. The movement of the sliding sleeve drives the spring to move the interference plate, making it easier to place the connection point between the two clamping plates. At this time, the rear ends of the clamping plates are released. Under the action of the tension spring, the two interference parts can be reset and contact each other. At the same time, the inclined rod pushes the sliding sleeve and spring to move the interference plate along the slide rail toward the interference part. The spring can adapt to various specifications of connection points to ensure the firmness of the clamping, so as to facilitate the installation of the multi-mode detection and identification component.

[0021] S2. Operation of detection and acquisition components: The operation of the temperature detection component, image acquisition component, audio acquisition component, and circuit detection component can detect the temperature, circuit, equipment operation, and noise generated by the operation of industrial equipment, and fully understand the actual operation of the industrial equipment;

[0022] S3. Summary and comparison: The detected data is transmitted to the intelligent processing center. The collected data can be processed through the AI defect intelligent identification solution in the intelligent processing center to understand the defects of industrial equipment during operation. At the same time, it can be quickly transmitted to the control center and mobile phones, so that staff can find problems and deal with them in time.

[0023] The beneficial effects of the present invention are:

[0024] 1. This patent reduces the cost of stable operation of industrial equipment, enables intelligent detection, and facilitates the setting of multiple detection points on industrial equipment to achieve comprehensive detection and identification of industrial equipment, facilitating the rapid discovery of defects in industrial equipment;

[0025] 2. It eliminates the situation where the multi-mode detection and identification components are affected by external factors during detection. Through new detection and transmission methods, the stability of data collection and transmission is greatly improved;

[0026] 3. Through the coordination of corresponding parts, the position of the contact plate can be quickly adjusted, so that the contact plate and the contact piece can be coordinated to clamp the corresponding position of the industrial equipment, thereby improving the firmness of the connection;

[0027] To sum up, the present invention uses a multi-mode detection and identification component to realize multi-data collection of industrial equipment. After insulation processing, it is connected to the intelligent processing center so that the intelligent processing center can process multi-source data and transmit it to the control center background through relevant communication methods. If there is a network, it can also be transmitted to the mobile phone to realize background recording and alarm operations, so that staff can find problems in time. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 This is a connection structure diagram of the AI defect intelligent identification system for industrial equipment based on multimodal data proposed by the present invention;

[0029] Figure 2 This is a schematic diagram of the multimodal detection and recognition components of the AI defect intelligent recognition system for industrial equipment based on multimodal data proposed by the present invention;

[0030] Figure 3 This is a schematic diagram of the connection points of the AI defect intelligent identification system for industrial equipment based on multimodal data proposed by the present invention;

[0031] Figure 4 This is a schematic diagram of the installation components of the AI defect intelligent identification system for industrial equipment based on multimodal data proposed by the present invention;

[0032] Figure 5 Schematic diagram of the communication equipment of the AI defect intelligent identification system for industrial equipment based on multimodal data proposed by the present invention;

[0033] Figure 6 This is a structural diagram of the installation components of the AI defect intelligent identification system for industrial equipment based on multimodal data proposed by the present invention;

[0034] In the figure: 1 connection point, 2 installation component, 3 multi-mode detection and identification component, 4 intelligent processing center, 5 communication equipment, 6 network communication equipment, 7 control center, 8 mobile phone, 9 connection part, 10 tension spring, 11 inclined rod, 12 sliding rod, 13 spring, 14 contact plate, 15 splint, 16 contact part, 17 slide rail, 18 sliding sleeve. DETAILED DESCRIPTION

[0035] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0036] Reference Figure 1-6 The AI defect intelligent recognition system for industrial equipment based on multimodal data includes a multimodal detection and recognition component 3. The multimodal detection and recognition component 3 includes a temperature detection component, an image acquisition component, an audio acquisition component and a circuit detection component. It can detect the temperature conditions, circuit conditions, equipment operation conditions and noise conditions generated by the operation of industrial equipment, and can fully understand the actual operation conditions of the industrial equipment. At the same time, it can transmit the detection data to facilitate AI intelligent recognition, understand the defects of the industrial equipment during operation, and discover and deal with problems in a timely manner.

[0037] The two clamping plates 15 are connected to each other by a spring 10, which can quickly restore the two clamping plates 15 to their original shape and make the two clamping plates 16 contact each other, so as to facilitate automatic reset. The clamping plate 15 at the lower end is slidably mounted with a contact plate 14, and the clamping plate 15 at the lower end is fixed with a slide rail 17. The contact plate 14 is slidably mounted on the slide rail 17, and the end of the contact plate 14 away from the sliding sleeve 18 is tilted. A slide rod 12 is fixed on one side of the contact plate 14. 12 is provided with a sliding sleeve 18 and a spring 13, the two ends of the spring 13 are respectively fixed on the opposite side of the sliding sleeve 18 and the contact plate 14, the sliding sleeve 18 and the clamping plate 15 at the upper end are rotated together and connected with an inclined rod 11, the multi-mode detection and identification component 3 and the contact plate 14 are connected, when the rear ends of the two clamping plates 15 are pressed to separate the two contact members 16, the clamping plate 15 at the upper end drives the inclined rod 11 to make the sliding sleeve 18 move along the sliding rod 12, and the movement of the sliding sleeve 18 can drive the spring 1 3 moves the contact plate 14 to facilitate the placement of the connection point 1 between the two clamping plates 15. At this time, the rear end of the clamping plate 15 is released, and the two interference members 16 can be reset and contacted under the action of the tension spring 10. At the same time, the inclined rod 11 pushes the sliding sleeve 18 and the spring 13 to move the contact plate 14 along the slide rail 17 toward the interference member 16. The spring 13 can adapt to various specifications of connection points 1, ensure the firmness of the clamping, and facilitate the operation of the multi-mode detection and identification component 3 on one side of the contact plate 14.

[0038] In the present invention, a connection point 1 is provided on one side of the multi-mode detection and identification component 3. The connection point 1 includes the connection point position of the industrial equipment, the connection point of the copper busbar itself, and the connection point position of the copper plate and the external connector, which is convenient for installing the corresponding detection and collection components. The position of the detection point can be set arbitrarily according to needs, and its flexibility and practicality are greatly improved. A mounting component 2 is installed on the connection point 1. The mounting component 2 adopts any one of thermally conductive insulating silicone, thermally conductive insulating double-sided tape and snap fasteners, which can ensure the firmness of the connection and the insulation effect, and ensure the safety of installation and practicality. The multi-mode detection and identification component 3 is connected to the mounting component 2, which can be fixed to ensure that it is in contact with the live connection part, ensuring that the multi-mode detection and identification component can detect the temperature. The multi-mode detection and identification component 3 is electrically connected to the intelligent processing center 4. The intelligent processing center 4 is a patrol meter, which can be used for patrol display on the patrol meter. Or centrally display, a communication device 5 is installed in the intelligent processing center 4, and a transmission module, a communication management machine and a receiving module are installed in the communication device 5. The communication device 5 is connected to the control center 7, and the signal of the inspection instrument is transmitted to the control center through 485 communication or other communication methods. Other communication methods include wired communication, wireless communication, etc., which can ensure the efficiency and quality of information transmission. A network communication device 6 is installed on one side of the communication device 5, and the network communication device 6 is connected to a mobile phone 8. The network module includes 4G, 5G, WiFi and other modules, which can quickly transmit information and facilitate long-distance inquiries by staff. The intelligent processing center uploads the detected data in a centralized manner and transmits it to the control center background through relevant communication methods. It can also be transmitted to the mobile phone when there is a network, realizing background detection and record query, etc., so as to facilitate timely discovery and processing of problems.

[0039] The present invention also proposes an identification method for an industrial equipment AI defect intelligent identification system based on multimodal data, comprising the following steps:

[0040] S1. Component installation: When the rear ends of the two clamping plates 15 are pressed to separate the two interference members 16, the clamping plate 15 at the upper end drives the inclined rod 11 to move the sliding sleeve 18 along the sliding rod 12. The movement of the sliding sleeve 18 can drive the spring 13 to move the interference plate 14, so that the connection point 1 is placed between the two clamping plates 15. At this time, the rear end of the clamping plate 15 is released. Under the action of the tension spring 10, the two interference members 16 can be reset and interfere with each other. At the same time, the inclined rod 11 pushes the sliding sleeve 18 and the spring 13 to move the interference plate 14 along the slide rail 17 toward the interference member 16. The spring 13 can adapt to various specifications of connection points 1 to ensure the firmness of the clamping, so as to facilitate the installation of the multi-mode detection and identification component 3.

[0041] S2. Operation of detection and acquisition components: The operation of the temperature detection component, image acquisition component, audio acquisition component, and circuit detection component can detect the temperature, circuit, equipment operation, and noise generated by the operation of industrial equipment, and fully understand the actual operation of the industrial equipment;

[0042] S3. Summary and comparison: The detected data is transmitted to the intelligent processing center. The collected data can be processed through the AI defect intelligent identification solution in the intelligent processing center to understand the defects of industrial equipment during operation. At the same time, it can be quickly transmitted to the control center and mobile phones, so that staff can find problems and deal with them in time.

[0043] The above description is only a preferred specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any technician familiar with the technical field, within the technical scope disclosed by the present invention, who makes equivalent replacements or changes based on the technical solution and inventive concept of the present invention, should be covered by the scope of protection of the present invention.

Claims

1. An AI defect intelligent identification system for industrial equipment based on multimodal data, including a multimodal detection and identification component (3), characterized in that: A connection point (1) is provided on one side of the multi-mode detection and identification component (3), a mounting component (2) is mounted on the connection point (1), the multi-mode detection and identification component (3) and the mounting component (2) are connected, the multi-mode detection and identification component (3) is electrically connected to an intelligent processing center (4), and a control alarm mechanism is provided on the intelligent processing center (4); The mounting component (2) comprises two parallel clamping plates (15), and opposite sides of the two clamping plates (15) are provided with a resisting member (16) and a connecting member (9), the two resisting members (16) resist each other, and the two connecting members (9) are connected by a transverse axis rotation. A tension spring (10) is fixed between the two clamping plates (15), and a resisting plate (14) is slidably installed on the clamping plate (15) at the lower end. A sliding rod (12) is fixed on one side of the resisting plate (14), and a sliding sleeve (18) and a spring (13) are sleeved on the sliding rod (12). The two ends of the spring (13) are respectively fixed on the opposite sides of the sliding sleeve (18) and the resisting plate (14). An inclined rod (11) is rotatably connected between the sliding sleeve (18) and the clamping plate (15) at the upper end, and the multi-mode detection and identification component (3) and the resisting plate (14) are connected.

2. The AI defect intelligent identification system for industrial equipment based on multimodal data according to claim 1 is characterized by: The control alarm mechanism includes a communication device (5) installed on an intelligent processing center (4), the communication device (5) is connected to a control center (7), a network communication device (6) is installed on one side of the communication device (5), and the network communication device (6) is connected to a mobile phone (8).

3. The AI defect intelligent identification system for industrial equipment based on multimodal data according to claim 1 is characterized by: A slide rail (17) is fixed on the clamping plate (15) at the lower end, and the contact plate (14) is slidably mounted on the slide rail (17).

4. The AI defect intelligent identification system for industrial equipment based on multimodal data according to claim 1 is characterized by: The end of the contact plate (14) away from the sliding sleeve (18) is tilted.

5. The AI defect intelligent identification system for industrial equipment based on multimodal data according to claim 1 is characterized by: The multi-mode detection and identification component (3) comprises a temperature detection component, an image acquisition component, an audio acquisition component and a circuit detection component.

6. The AI defect intelligent identification system for industrial equipment based on multimodal data according to claim 1 is characterized by: The connection points (1) include the connection points of industrial equipment, the connection points of the copper busbar itself, and the connection points of the copper plate and the external connector.

7. The AI defect intelligent identification system for industrial equipment based on multimodal data according to claim 1 is characterized by: The installation component (2) is made of any one of heat-conducting insulating silica gel, heat-conducting insulating double-sided tape and a buckle.

8. The AI defect intelligent identification system for industrial equipment based on multimodal data according to claim 1 is characterized by: The communication device (5) is equipped with a transmission module, a communication management machine and a receiving module.

9. The AI defect intelligent identification system for industrial equipment based on multimodal data according to claim 1 is characterized by: The intelligent processing center (4) is a patrol instrument.

10. A recognition method for an AI defect intelligent recognition system for industrial equipment based on multimodal data according to any one of claims 1 to 9, characterized in that: The following steps are involved: S1. Component installation: When the rear ends of the two clamping plates (15) are pressed to separate the two abutting members (16), the clamping plate (15) at the upper end drives the inclined rod (11) to move the sliding sleeve (18) along the sliding rod (12). The movement of the sliding sleeve (18) can drive the spring (13) to move the abutting plate (14), so that the connection point (1) can be placed between the two clamping plates (15). At this time, the rear end of the clamping plate (15) is released, and the two abutting members (16) can be reset and abutted under the action of the tension spring (10). At the same time, the inclined rod (11) pushes the sliding sleeve (18) and the spring (13) to move the abutting plate (14) along the slide rail (17) toward the abutting member (16). The spring (13) can adapt to various specifications of connection points (1) to ensure the firmness of the clamping, so as to install the multi-mode detection and identification component (3); S2. Operation of detection and acquisition components: The operation of the temperature detection component, image acquisition component, audio acquisition component, and circuit detection component can detect the temperature, circuit, equipment operation, and noise generated by the operation of industrial equipment, and fully understand the actual operation of the industrial equipment; S3. Summary and comparison: The detected data is transmitted to the intelligent processing center. The collected data can be processed through the AI defect intelligent identification solution in the intelligent processing center to understand the defects of industrial equipment during operation. At the same time, it can be quickly transmitted to the control center and mobile phones, so that staff can find problems and deal with them in time.

Images