Intelligent detection system, method and equipment based on artificial intelligence unit

Abstract

The invention discloses an intelligent detection system, method and equipment based on an artificial intelligence unit, and relates to the technical field of artificial intelligence. Comprising a code scanning module, a detection module, a data communication module and a server module which are connected in sequence, the code scanning module is used for scanning the unique identification code of the artificial intelligence unit; the detection module is used for detecting a circuit voltage condition and a function execution condition of the artificial intelligence unit; the data communication module is used for transmitting the detected and recorded data to the server module; and the server module is used for receiving the detection data from the data communication module and storing, analyzing and processing the detection data. According to the invention, whether the artificial intelligence unit has circuit problems, device problems, function problems and the like can be found, and the problems can be transmitted to a cloud service platform for analysis through networking.

Description

Technical Field

[0001] The present invention belongs to the field of artificial intelligence technology, and in particular relates to an intelligent detection system, method and equipment based on an artificial intelligence unit. Background Art

[0002] With the rapid development of artificial intelligence technology, AIU, a special artificial intelligence unit for farms, will be increasingly widely used. However, in the production, processing and testing of AIU, problems such as circuit failure, component damage, and functional abnormality may occur. If these problems are not discovered and handled in time, they will seriously affect product quality and production efficiency. Traditional detection methods have problems such as low detection efficiency, insufficient accuracy, and inconvenient traceability, which are difficult to meet the needs of modern intelligent manufacturing.

[0003] Therefore, it is an urgent problem for those skilled in the art to propose an intelligent detection system, method and device based on an artificial intelligence unit to solve the difficulties existing in the prior art. Summary of the invention

[0004] The present invention proposes an intelligent detection system, method and equipment based on an artificial intelligence unit, which is of great significance for ensuring product reliability and improving the level of production automation.

[0005] In order to achieve the above object, the present invention adopts the following technical solution: An intelligent detection system based on an artificial intelligence unit, comprising a code scanning module, a detection module, a data communication module and a server module connected in sequence; The code scanning module is used to scan the unique identification code of the artificial intelligence unit; The detection module is used to detect the circuit voltage condition and function execution condition of the artificial intelligence unit; The data communication module is used to transmit the data of the detection record to the server module; The server module is used to receive the detection data from the data communication module and store, analyze and process it.

[0006] The above system may optionally have a detection module comprising a voltage detection unit and a function detection unit; the voltage detection unit monitors the voltage of the artificial intelligence unit in real time through AD conversion and signal processing technology, and cuts off the power supply when the voltage exceeds a preset range and records it as an abnormality; the function detection module tests each function and signal state change, determines whether there is an abnormality and records it.

[0007] In the above system, optionally, the data communication module supports WiFi and mobile network communication modes.

[0008] In the above system, optionally, the server module supports remote query, analysis and traceability applications.

[0009] In the above system, optionally, the code scanning module, the detection module, the data communication module and the server module are connected via a dedicated interface.

[0010] An intelligent detection method based on an artificial intelligence unit, applied to any of the above-mentioned intelligent detection systems based on an artificial intelligence unit, comprises the following steps: S1. Turn on the power of the detection system; S2. inserting the artificial intelligence unit to be tested into the detection system; S3, the code scanning module scans the unique identification code of the artificial intelligence unit for identification; S4, start powering the artificial intelligence unit and start detection; S5, voltage detection, if abnormality is found, stop power supply, end detection, indicate abnormality and record, if no abnormality is found, go to S6; S6. If the voltage is detected normally, various functions will be tested. If an abnormality is found, the power supply will be stopped, the test will be ended, the abnormality will be indicated and recorded; S7. No abnormality is found during the test process, the test is ended, and the result is indicated as qualified and recorded; S8, the test results and data are transmitted to the server module through the data communication module for storage; S9. Remotely retrieve test results and data for analysis and processing.

[0011] An intelligent detection device based on an artificial intelligence unit includes a device body, a detection module and a data communication module are arranged inside the device body, a code scanning module, an indicator light and a detection button are arranged on the top of the device body, and a detection port connected to the AIU to be detected is also arranged on the top of the device body.

[0012] It can be seen from the above technical solutions that, compared with the prior art, the present invention provides an intelligent detection system, method and device based on an artificial intelligence unit, which has the following beneficial effects: 1. Improve detection efficiency and accuracy: Through integrated circuits and intelligent algorithms, comprehensive and rapid detection of AIU can be achieved, improving detection efficiency and accuracy; 2. Ensure product reliability: timely discover and solve potential problems of AIU to avoid failures and ensure product reliability; 3. Realize data recording and traceability: Real-time storage and analysis of test data, support historical data query and traceability functions, and provide strong support for continuous improvement; 4. Improve the level of production automation and intelligence: realize the intelligent detection and remote monitoring functions of AIU, improve the level of production automation and intelligence, and reduce labor costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] 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 or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0014] Figure 1 This is a structural diagram of an intelligent detection system based on an artificial intelligence unit disclosed in the present invention; Figure 2 A flow chart of an intelligent detection method based on an artificial intelligence unit disclosed in the present invention; Figure 3 This is a schematic diagram of an intelligent detection device based on an artificial intelligence unit disclosed in the present invention. DETAILED DESCRIPTION

[0015] 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.

[0016] In this application, relational terms such as first and second, etc. are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. The terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of more restrictions, the elements defined by the sentence "including one..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0017] Reference Figure 1 As shown, an intelligent detection system based on an artificial intelligence unit includes a code scanning module, a detection module, a data communication module and a server module connected in sequence; The code scanning module is used to scan the unique identification code of the artificial intelligence unit; The detection module is used to detect the circuit voltage condition and function execution condition of the artificial intelligence unit; The data communication module is used to transmit the data of the detection record to the server module; The server module is used to receive the detection data from the data communication module and store, analyze and process it.

[0018] Furthermore, the detection module includes a voltage detection unit and a function detection unit; the voltage detection unit monitors the voltage of the artificial intelligence unit in real time through AD conversion and signal processing technology, and cuts off the power supply when the voltage exceeds a preset range and records it as an abnormality; the function detection module tests each function and signal state change, determines whether there is an abnormality and records it.

[0019] Specifically, for example, in the 485 communication function test, if a data instruction is sent through 485 and a 485 instruction reply can be received, the 485 communication function is qualified. For the memory module function test, first, the communication control with the memory is normal, a string of data is written, and the read out is consistent with the written data, and then another string of different data is written, and the read out is still consistent with the written data, then the memory function is qualified. For the clock module function test, first, the communication control with the clock module is normal, the clock data can be read out, and the date and time format is checked to be correct. The hour range is 0-23, and the minute and second range is 0-59. These must be within the numerical range, and the seconds are running normally every second, then the clock module function is qualified. For the Bluetooth module function check, first, the communication control with the Bluetooth module is normal, and instructions are sent, and the response data can be received normally, and the Bluetooth MAC and status information can be read out, then the Bluetooth module function is qualified. Signal state change function detection includes two types: input control signal detection and output control signal detection. In input control signal detection, the detector is set to a low level and given to a certain input signal. The signal obtained through 485 is indeed a low level. The detector is adjusted to a high level and then given to the input signal. The signal obtained through 485 also becomes a high level, then the input signal function is qualified; output control signal detection, through 485, an instruction is sent to make a certain output signal output as a low level. The detector detects that the output signal is indeed a low level. Through 485, an instruction is sent to make the output signal output as a high level. The detector detects that the output signal also becomes a high level, then the output signal function is qualified.

[0020] Furthermore, the data communication module supports WiFi and mobile network communication modes.

[0021] Furthermore, the server module supports remote query, analysis and traceability applications.

[0022] Furthermore, the code scanning module, the detection module, the data communication module and the server module are connected via a dedicated interface, which includes a serial port, a 485 interface and a dedicated hardware connector for anti-reverse connection.

[0023] Specifically, the system has built-in intelligent algorithms that can automatically analyze test data, identify potential problems, and give corresponding treatment suggestions. For example, the server can intelligently monitor batch test data and set warning thresholds for functional items. Once it is found that the number of unqualified functions exceeds the standard, an early warning reminder will be issued to focus on checking whether there are problems with the functional circuit, chip source, welding processing, etc. At the same time, the system also supports historical data query and traceability functions to facilitate problem tracking and continuous improvement.

[0024] Reference Figure 2 As shown, an intelligent detection method based on an artificial intelligence unit is applied to any of the above-mentioned intelligent detection systems based on an artificial intelligence unit, comprising the following steps: S1. Turn on the power of the detection system; S2. inserting the artificial intelligence unit to be tested into the detection system; S3, the code scanning module scans the unique identification code of the artificial intelligence unit for identification; S4, start powering the artificial intelligence unit and start detection; S5, voltage detection, if abnormality is found, stop power supply, end detection, indicate abnormality and record, if no abnormality is found, go to S6; S6. If the voltage is detected normally, various functions will be tested. If an abnormality is found, the power supply will be stopped, the test will be ended, the abnormality will be indicated and recorded; S7. No abnormality is found during the test process, the test is ended, and the result is indicated as qualified and recorded; S8, the test results and data are transmitted to the server module through the data communication module for storage; S9. Remotely retrieve test results and data for analysis and processing.

[0025] See also Figure 3 As shown, the present invention also discloses an intelligent detection device based on an artificial intelligence unit, including a device body, a detection module and a data communication module 1 are arranged inside the device body, a code scanning module 2, an indicator light 4 and a detection button 5 are arranged on the top of the device body, and a detection port connected to the detected AIU 3 is also arranged on the top of the device body. Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system or system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0026] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An intelligent detection system based on an artificial intelligence unit, characterized in that: It includes a scanning module, a detection module, a data communication module and a server module connected in sequence; The code scanning module is used to scan the unique identification code of the artificial intelligence unit; The detection module is used to detect the circuit voltage condition and function execution condition of the artificial intelligence unit; The data communication module is used to transmit the data of the detection record to the server module; The server module is used to receive the detection data from the data communication module and store, analyze and process it.

2. The intelligent detection system based on artificial intelligence unit according to claim 1, characterized in that: The detection module includes a voltage detection unit and a function detection unit; the voltage detection unit monitors the voltage of the artificial intelligence unit in real time through AD conversion and signal processing technology, and cuts off the power supply when the voltage exceeds the preset range and records it as an abnormality; the function detection module tests each function and signal status change, determines whether there is an abnormality and records it.

3. The intelligent detection system based on artificial intelligence unit according to claim 1 is characterized in that: The data communication module supports WiFi and mobile network communication methods.

4. The intelligent detection system based on artificial intelligence unit according to claim 1, characterized in that: The server module supports remote query, analysis and traceability applications.

5. The intelligent detection system based on artificial intelligence unit according to claim 1 is characterized in that: The code scanning module, the detection module, the data communication module and the server module are connected via a dedicated interface.

6. An intelligent detection method based on an artificial intelligence unit, applied to an intelligent detection system based on an artificial intelligence unit according to any one of claims 1 to 5, characterized in that: The following steps are involved: S1. Turn on the power of the detection system; S2. inserting the artificial intelligence unit to be tested into the detection system; S3, the code scanning module scans the unique identification code of the artificial intelligence unit for identification; S4, start powering the artificial intelligence unit and start detection; S5, voltage detection, if abnormality is found, stop power supply, end detection, indicate abnormality and record, if no abnormality is found, go to S6; S6. If the voltage is detected normally, various functions will be tested. If an abnormality is found, the power supply will be stopped, the test will be ended, the abnormality will be indicated and recorded; S7. No abnormality is found during the test process, the test is ended, and the result is indicated as qualified and recorded; S8, the test results and data are transmitted to the server module through the data communication module for storage; S9. Remotely retrieve test results and data for analysis and processing.

7. An intelligent detection device based on an artificial intelligence unit, applied to an intelligent detection system based on an artificial intelligence unit according to any one of claims 1 to 5, characterized in that: The device comprises a device body, wherein a detection module and a data communication module (1) are arranged inside the device body, a code scanning module (2), an indicator light (4) and a detection button (5) are arranged on the top of the device body, and a detection port connected to an AIU (3) to be detected is also arranged on the top of the device body.

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