Intelligent electronic product full-automatic accurate detection and control system

Abstract

The invention relates to the technical field of electronic products, in particular to a full-automatic precise detection and control system for intelligent electronic products, and solves the problem that the application of electronic products in all walks of life is increasingly wide along with the rapid development of the electronic technology in the prior art. However, various faults are inevitably generated in the operation process of an electronic product, and a traditional fault detection method often needs manual intervention, is low in efficiency and is difficult to realize real-time accuracy. A full-automatic precise detection and control system for intelligent electronic products comprises a data acquisition module, an intelligent analysis module, a remote control module and a fault early warning module. Through the integrated hardware and software design, the problems existing in a traditional electronic product detection and control system are solved, the detection efficiency, the diagnosis accuracy, the automatic control level and the early warning capacity are improved, the user experience is optimized, and the system has great significance in promoting intelligent development of the electronic product manufacturing and application field.

Description

Technical Field

[0001] The present invention relates to the technical field of electronic products, and in particular to a fully automatic and precise detection and control system for intelligent electronic products. Background Art

[0002] With the rapid development of electronic technology, electronic products are increasingly used in all walks of life. However, electronic products are bound to have various faults during operation. Traditional fault detection methods often require manual intervention, which is inefficient and difficult to achieve real-time accuracy. Therefore, it is particularly important to develop a system that can automatically, real-time and accurately detect the operating status of electronic products and perform fault diagnosis and control. Summary of the invention

[0003] The purpose of the present invention is to provide an intelligent electronic product fully automatic precision detection and control system, which solves the problem that with the rapid development of electronic technology, electronic products are increasingly widely used in various industries. However, electronic products will inevitably have various faults during operation, and traditional fault detection methods often require manual intervention, which is inefficient and difficult to achieve real-time accuracy.

[0004] In order to achieve the above object, the present invention adopts the following technical solutions:

[0005] A fully automatic and precise detection and control system for intelligent electronic products comprises a data acquisition module, an intelligent analysis module, a remote control module and a fault warning module. The data acquisition module is used to obtain the operation data of the electronic products in real time and transmit the data to the intelligent analysis module via a network.

[0006] Preferably, the data acquisition module includes a sensor array, and the sensor array includes a temperature sensor, a voltage sensor, a current sensor and a vibration sensor, which are used to monitor the operating status of the electronic product in multiple dimensions.

[0007] Preferably, the intelligent analysis module includes a data preprocessing unit, a feature extraction unit and a fault diagnosis unit. The data preprocessing unit is used to clean and standardize the collected data, the feature extraction unit is used to extract key feature parameters, and the fault diagnosis unit analyzes the feature parameters based on a preset algorithm model to determine whether the electronic product has a fault.

[0008] Preferably, the preset algorithm model is a classification model based on machine learning, including but not limited to a support vector machine, a neural network or a random forest model, and the model is trained and optimized through a large amount of historical fault data.

[0009] Preferably, the remote control module is used to receive the diagnosis results of the intelligent analysis module, and automatically adjust the operating parameters of the electronic product or send maintenance instructions to relevant maintenance personnel according to preset rules.

[0010] Preferably, the fault warning module includes a warning strategy library and a communication interface, the warning strategy library stores warning thresholds and warning methods for different fault types, and the communication interface is used to send warning information to a user terminal or a monitoring center in real time.

[0011] Preferably, it also includes a user interaction interface, which is used to display the real-time operating status, fault diagnosis results and warning information of the electronic product, and provides a user-defined setting function, allowing the user to adjust the detection parameters and warning strategies according to actual needs.

[0012] The present invention has at least the following beneficial effects:

[0013] Improve detection efficiency: Through integrated data acquisition modules and high-speed network transmission technology, real-time monitoring of the operating status of electronic products can be achieved, which greatly improves detection efficiency and reduces the workload of manual inspections.

[0014] Enhanced diagnostic accuracy: The intelligent analysis module based on machine learning is used to conduct deep learning and feature extraction on the collected data, which can quickly and accurately determine whether there is a fault in the electronic product and its type, avoiding the subjectivity and errors of manual diagnosis.

[0015] Realize automated control: The remote control module can automatically adjust the operating parameters of electronic products or send maintenance instructions according to the diagnosis results of the intelligent analysis module, realize instant intervention and rapid response to faults of electronic products, and improve production efficiency and product quality.

[0016] Improve early warning capabilities: The fault warning module can detect and warn potential faults in advance through a preset early warning strategy library and real-time communication interface, providing users and maintenance personnel with sufficient time to take measures to prevent faults, reducing production interruptions and losses.

[0017] Optimize user experience: The user interaction interface provides a friendly human-computer interaction experience. Users can intuitively understand the real-time operating status, fault diagnosis results and warning information of electronic products, and adjust the detection parameters and warning strategies according to actual needs through the custom setting function, which improves user satisfaction and system flexibility. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying any creative work.

[0019] Figure 1 It is a schematic diagram of the fully automatic and precise detection and control system of intelligent electronic products of the present invention. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0021] Embodiment 1, refer to Figure 1 , an intelligent electronic product fully automatic precision detection and control system, including a data acquisition module, an intelligent analysis module, a remote control module and a fault warning module. The data acquisition module is used to obtain the operating data of the electronic product in real time and transmit it to the intelligent analysis module through the network.

[0022] Data acquisition module: This module collects key operating data such as temperature, voltage, current and vibration of electronic products in real time through the sensor array deployed inside the electronic products to ensure the comprehensiveness and accuracy of the data. The sensor data is transmitted to the intelligent analysis module through the network for processing.

[0023] Intelligent analysis module: This module first pre-processes the collected data, including data cleaning and standardization, to eliminate noise and outliers. Then, the key feature parameters are extracted through the feature extraction unit, and the feature parameters are analyzed using a classification model based on machine learning to quickly and accurately determine whether the electronic product has a fault and its type.

[0024] Remote control module: This module automatically adjusts the operating parameters of electronic products or sends maintenance instructions to relevant maintenance personnel based on the diagnosis results of the intelligent analysis module. Through remote control technology, immediate intervention in electronic products and rapid response to faults are achieved.

[0025] Fault warning module: This module provides early warning of possible faults based on the preset warning strategy library. The warning information is sent to the user terminal or monitoring center in real time through the communication interface to remind the user or maintenance personnel to take timely measures to avoid faults.

[0026] User interaction interface: This interface provides a friendly human-computer interaction experience. Users can view the real-time operating status, fault diagnosis results and warning information of electronic products through the interface. At the same time, the interface also supports user-defined settings, allowing users to adjust detection parameters and warning strategies according to actual needs.

[0027] According to the above embodiments, it can be seen that: improving detection efficiency: through integrated data acquisition modules and high-speed network transmission technology, real-time monitoring of the operating status of electronic products is achieved, which greatly improves detection efficiency and reduces the workload of manual inspections.

[0028] Enhanced diagnostic accuracy: The intelligent analysis module based on machine learning is used to conduct deep learning and feature extraction on the collected data, which can quickly and accurately determine whether there is a fault in the electronic product and its type, avoiding the subjectivity and errors of manual diagnosis.

[0029] Realize automated control: The remote control module can automatically adjust the operating parameters of electronic products or send maintenance instructions according to the diagnosis results of the intelligent analysis module, realize instant intervention and rapid response to faults of electronic products, and improve production efficiency and product quality.

[0030] Improve early warning capabilities: The fault warning module can detect and warn potential faults in advance through a preset early warning strategy library and real-time communication interface, providing users and maintenance personnel with sufficient time to take measures to prevent faults, reducing production interruptions and losses.

[0031] Optimize user experience: The user interaction interface provides a friendly human-computer interaction experience. Users can intuitively understand the real-time operating status, fault diagnosis results and warning information of electronic products, and adjust the detection parameters and warning strategies according to actual needs through the custom setting function, which improves user satisfaction and system flexibility.

[0032] Example 2, refer to Figure 1 The data acquisition module includes a sensor array, which includes a temperature sensor, a voltage sensor, a current sensor and a vibration sensor, and is used to monitor the operating status of the electronic product in multiple dimensions.

[0033] The intelligent analysis module includes a data preprocessing unit, a feature extraction unit and a fault diagnosis unit. The data preprocessing unit is used to clean and standardize the collected data, the feature extraction unit is used to extract key feature parameters, and the fault diagnosis unit analyzes the feature parameters based on a preset algorithm model to determine whether the electronic product has a fault.

[0034] The preset algorithm model is a classification model based on machine learning, including but not limited to a support vector machine, a neural network or a random forest model, and the model is trained and optimized through a large amount of historical fault data.

[0035] The remote control module is used to receive the diagnosis results of the intelligent analysis module and automatically adjust the operating parameters of the electronic product or send maintenance instructions to relevant maintenance personnel according to preset rules.

[0036] The fault warning module includes a warning strategy library and a communication interface. The warning strategy library stores warning thresholds and warning methods for different fault types. The communication interface is used to send warning information to a user terminal or a monitoring center in real time.

[0037] It also includes a user interaction interface, which is used to display the real-time operating status, fault diagnosis results and warning information of the electronic product, and provides a user-defined setting function, allowing the user to adjust the detection parameters and warning strategies according to actual needs.

[0038] According to the above embodiments, the integrated hardware and software design solves the problems existing in the traditional electronic product detection and control system, improves the detection efficiency, diagnostic accuracy, automation control level and early warning capability, and optimizes the user experience, which is of great significance for promoting the intelligent development of electronic product manufacturing and application fields.

[0039] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. An intelligent electronic product fully automatic precision detection and control system, characterized in that: It includes a data acquisition module, an intelligent analysis module, a remote control module and a fault warning module. The data acquisition module is used to obtain the operating data of the electronic product in real time and transmit it to the intelligent analysis module through the network.

2. According to claim 1, the intelligent electronic product fully automatic precision detection and control system is characterized in that: The data acquisition module includes a sensor array, which includes a temperature sensor, a voltage sensor, a current sensor and a vibration sensor, and is used to monitor the operating status of the electronic product in multiple dimensions.

3. The intelligent electronic product fully automatic precision detection and control system according to claim 1 is characterized in that: The intelligent analysis module includes a data preprocessing unit, a feature extraction unit and a fault diagnosis unit. The data preprocessing unit is used to clean and standardize the collected data, the feature extraction unit is used to extract key feature parameters, and the fault diagnosis unit analyzes the feature parameters based on a preset algorithm model to determine whether the electronic product has a fault.

4. The intelligent electronic product fully automatic precision detection and control system according to claim 1 is characterized in that: The preset algorithm model is a classification model based on machine learning, including but not limited to a support vector machine, a neural network or a random forest model, and the model is trained and optimized through a large amount of historical fault data.

5. The intelligent electronic product fully automatic precision detection and control system according to claim 1 is characterized in that: The remote control module is used to receive the diagnosis results of the intelligent analysis module and automatically adjust the operating parameters of the electronic product or send maintenance instructions to relevant maintenance personnel according to preset rules.

6. The intelligent electronic product fully automatic precision detection and control system according to claim 1 is characterized in that: The fault warning module includes a warning strategy library and a communication interface. The warning strategy library stores warning thresholds and warning methods for different fault types. The communication interface is used to send warning information to a user terminal or a monitoring center in real time.

7. The intelligent electronic product fully automatic precision detection and control system according to claim 1 is characterized in that: It also includes a user interaction interface, which is used to display the real-time operating status, fault diagnosis results and warning information of the electronic product, and provides a user-defined setting function, allowing the user to adjust the detection parameters and warning strategies according to actual needs.

Images