Special equipment detection device and method based on artificial intelligence

Abstract

The invention provides a special equipment detection device and method based on artificial intelligence, and the device comprises special equipment which is installed on operation equipment which drives the special equipment to operate, and also comprises detection equipment which is arranged on the operation equipment, establishing communication with the operation equipment and a detection platform, and establishing communication with a cloud server by the detection platform; operation parameters of the special equipment are detected in real time through the detection equipment, collected data are sent to the detection platform to be analyzed and processed, then a detection result is obtained, when abnormity occurs, the special equipment can be automatically controlled to stop running, an alarm is given, and therefore the convenience degree and accuracy of detection of the special equipment are effectively improved; and stable operation of the special equipment is ensured.

Description

Technical Field

[0001] The present invention relates to the field of detection technology, and in particular to a special equipment detection device and method based on artificial intelligence. Background Art

[0002] Special equipment refers to eight categories of equipment that involve life safety and are relatively dangerous, including boilers, pressure vessels (including gas cylinders), pressure pipelines, elevators, lifting machinery, passenger ropeways, large amusement facilities and special motor vehicles within the site (factory).

[0003] Among them, the inspection of special equipment is an important link before and during the use of special equipment. Conventional inspection methods require manual collection of special equipment operating parameters and then analysis of the operating parameters. This is not only labor-intensive, but also manual inspection has problems such as poor accuracy, which is not conducive to the safe operation of special equipment.

[0004] Therefore, there is an urgent need for a special equipment detection device and method based on artificial intelligence that can conveniently and accurately perform real-time detection of special equipment. Summary of the invention

[0005] The purpose of the present invention is to provide a special equipment detection device and method based on artificial intelligence to solve the problems existing in the above-mentioned prior art.

[0006] To achieve the above object, the present invention provides the following solutions:

[0007] The present invention provides an artificial intelligence-based special equipment detection device, comprising special equipment, wherein the special equipment is installed on an operating device, and the operating device drives the special equipment to operate; and further comprising a detection device, wherein the detection device is arranged on the operating device and establishes communication with the operating device and a detection platform, and the detection platform establishes communication with a cloud server.

[0008] Preferably, the detection device comprises a camera and an operation data sensor, and the camera and the operation data sensor are both arranged on the operation device and establish wireless communication with the detection platform.

[0009] Preferably, communication is established between the detection device and the detection platform via 5G.

[0010] Preferably, the detection platform includes an analysis and processing module, and the analysis and processing module establishes communication with the cloud server, data receiving module, display module, data storage module and alarm module respectively.

[0011] The present invention also provides a special equipment detection method based on artificial intelligence, comprising the following steps:

[0012] S1. The manager logs into the testing platform and enters the special equipment information;

[0013] S2. The operating equipment drives the special equipment to operate, and the detection equipment collects the real-time operation data of the special equipment and uploads it to the detection platform;

[0014] S3. The detection platform processes the real-time operation data;

[0015] S4. The detection platform analyzes and compares the processed real-time operation data with the special equipment information to generate the detection results.

[0016] Preferably, in step S1, the special equipment information includes product model, product three-dimensional image, and product operating parameters.

[0017] Preferably, in step S2, the real-time operation data includes special equipment operation images and operation data.

[0018] Preferably, step S3 specifically includes:

[0019] S31. Amplify, reduce noise and convert the collected special equipment operation images and operation data to obtain result data;

[0020] S32. Constructing a three-dimensional model of special equipment according to special equipment information;

[0021] S33. Integrate the result data into the three-dimensional model of special equipment for display.

[0022] Preferably, step S4 specifically includes: analyzing and comparing the result data with the special equipment information. If the data is normal, the special equipment is running normally. If the data is abnormal, the abnormal point is displayed on the three-dimensional model of the special equipment, and the running equipment is controlled to stop running, and an alarm message is sent to the management personnel.

[0023] Preferably, it also includes: S5. storing the detection results and generating a detection log.

[0024] Compared with the prior art, the present invention has achieved the following beneficial technical effects:

[0025] The present invention provides an artificial intelligence-based special equipment detection device and method, including special equipment, wherein the special equipment is installed on an operating device, and the operating device drives the special equipment to operate; and also includes a detection device, wherein the detection device is arranged on the operating device and establishes communication with the operating device and a detection platform, and the detection platform establishes communication with a cloud server; the detection device detects the operating parameters of the special equipment in real time, and the collected data is sent to the detection platform for analysis and processing to obtain the detection results. When an abnormality occurs, the special equipment can be automatically controlled to stop operating and an alarm can be sounded, thereby effectively improving the convenience and accuracy of special equipment detection and ensuring the stable operation of the special equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0027] Figure 1 A schematic diagram of a special equipment detection device based on artificial intelligence provided by the present invention;

[0028] Figure 2 A flowchart of a special equipment detection method based on artificial intelligence provided by the present invention. DETAILED DESCRIPTION

[0029] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0030] The purpose of the present invention is to provide a special equipment detection device and method based on artificial intelligence to solve the problems existing in the prior art.

[0031] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0032] Embodiment 1:

[0033] This embodiment provides a special equipment detection device based on artificial intelligence, such as Figure 1As shown, it includes special equipment 1, which is installed on the operating equipment 2, and the operating equipment 2 drives the special equipment 1 to run. It also includes detection equipment 3, and the detection equipment includes a camera and an operation data sensor. The camera and the operation data sensor are both arranged on the operating equipment 2, and establish communication with the operating equipment 2 and the detection platform 4 through 5G. The detection platform 4 includes an analysis and processing module, and the analysis and processing module respectively establishes communication with the cloud server, data receiving module, display module, data storage module and alarm module, and the detection platform 4 establishes communication with the cloud server 5.

[0034] This embodiment also provides a special equipment detection method based on artificial intelligence, comprising the following steps:

[0035] S1. The manager logs in to the testing platform and inputs the special equipment information; the special equipment information includes product model, product 3D image, and product operating parameters;

[0036] S2. The operating equipment drives the special equipment to operate, and the detection equipment collects the real-time operation data of the special equipment and uploads it to the detection platform; the real-time operation data includes the operation image and operation data of the special equipment;

[0037] S3. The detection platform processes the real-time operation data; specifically, it includes:

[0038] S31. Amplify, reduce noise and convert the collected special equipment operation images and operation data to obtain result data;

[0039] S32. Constructing a three-dimensional model of special equipment according to special equipment information;

[0040] S33. Integrate the result data into a three-dimensional model of special equipment for display;

[0041] S4. The detection platform analyzes and compares the processed real-time operation data with the special equipment information to generate the detection results; specifically, the result data is analyzed and compared with the special equipment information. If the data is normal, the special equipment is operating normally. If the data is abnormal, the abnormal point is displayed on the three-dimensional model of the special equipment, and the running equipment is controlled to stop running, and an alarm message is sent to the management personnel;

[0042] S5. Store the test results and generate a test log.

[0043] The present invention provides an artificial intelligence-based special equipment detection device and method, which detects the operating parameters of special equipment in real time through the detection equipment, sends the collected data to the detection platform for analysis and processing, and then obtains the detection results. When an abnormality occurs, the special equipment can be automatically controlled to stop running and an alarm can be sounded, thereby effectively improving the convenience and accuracy of special equipment detection and ensuring the stable operation of special equipment.

[0044] The present invention uses specific examples to illustrate the principles and implementation methods of the present invention. The above examples are only used to help understand the method and core ideas of the present invention. At the same time, for those skilled in the art, according to the ideas of the present invention, there will be changes in the specific implementation methods and application scopes. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A special equipment detection device based on artificial intelligence, comprising special equipment, wherein the special equipment is installed on an operating device, and the operating device drives the special equipment to operate, characterized in that: It also includes a detection device, which is arranged on the operating device and establishes communication with the operating device and the detection platform, and the detection platform establishes communication with the cloud server.

2. The special equipment detection device based on artificial intelligence according to claim 1 is characterized in that: The detection device comprises a camera and an operation data sensor. Both the camera and the operation data sensor are arranged on the operation device and establish wireless communication with the detection platform.

3. The special equipment detection device based on artificial intelligence according to claim 2 is characterized in that: Communication is established between the detection device and the detection platform via 5G.

4. The special equipment detection device based on artificial intelligence according to claim 1 is characterized in that: The detection platform includes an analysis and processing module, which respectively establishes communication with the cloud server, data receiving module, display module, data storage module and alarm module.

5. A special equipment detection method based on artificial intelligence, characterized in that: The following steps are involved: S1. The manager logs into the testing platform and enters the special equipment information; S2. The operating equipment drives the special equipment to operate, and the detection equipment collects the real-time operation data of the special equipment and uploads it to the detection platform; S3. The detection platform processes the real-time operation data; S4. The detection platform analyzes and compares the processed real-time operation data with the special equipment information to generate the detection results.

6. The special equipment detection method based on artificial intelligence according to claim 5 is characterized in that: In step S1, the special equipment information includes product model, product three-dimensional image, and product operating parameters.

7. The special equipment detection method based on artificial intelligence according to claim 6 is characterized in that: In step S2, the real-time operation data includes special equipment operation images and operation data.

8. The special equipment detection method based on artificial intelligence according to claim 7 is characterized in that: Step S3 specifically includes: S31. Amplify, reduce noise and convert the collected special equipment operation images and operation data to obtain result data; S32. Constructing a three-dimensional model of special equipment according to special equipment information; S33. Integrate the result data into the three-dimensional model of special equipment for display.

9. The special equipment detection method based on artificial intelligence according to claim 8 is characterized in that: Step S4 specifically includes: analyzing and comparing the result data with the special equipment information. If the data is normal, the special equipment is operating normally. If the data is abnormal, the abnormal point is displayed on the three-dimensional model of the special equipment, and the operating equipment is controlled to stop running, and an alarm message is sent to the management personnel.

10. The special equipment detection method based on artificial intelligence according to any one of claims 5 to 9, characterized in that: Also includes: S5. Store the test results and generate a test log.

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