CN117348451A - Electronic component stores AI intelligent monitoring system - Google Patents

Abstract

The invention relates to an intelligent AI (advanced technology attachment) monitoring system for electronic component storage, which comprises an intelligent real-time monitoring module, an intelligent self-monitoring module, an AI intelligent adjusting module, a log module, an electrostatic protection module and an information display module; the intelligent real-time monitoring module is used for monitoring the storage environment in real time, acquiring storage environment information and sending the storage environment information to the AI intelligent adjusting module; the intelligent self-monitoring module is used for carrying out intelligent self-monitoring on the monitoring system, obtaining self-monitoring information and sending the self-monitoring information to the AI intelligent adjustment module; the AI intelligent adjustment module analyzes and processes the storage environment information and controls the AI intelligent adjustment device to adjust the storage environment; the AI intelligent adjusting module analyzes and processes the self-monitoring information to realize fault early warning of the system; the log module and the information display module are respectively used for recording and visually displaying monitoring data and system operation data; the static electricity protection module comprises a static electricity monitoring module and a static electricity eliminating module. The system effectively improves the monitoring strength and intensity of the storage environment, and ensures the real-time performance, reliability and rationality of the monitoring result.

Description

An AI intelligent monitoring system for electronic component storage

Technical field

The invention belongs to the technical field of electronic component storage, and specifically relates to an AI intelligent monitoring system for electronic component storage.

Background technique

With the advancement of aerospace technology, more and more sophisticated electronic components are used on spacecraft. These electronic components play an important role in spacecraft performance monitoring, power system operation, and communication with the ground. Most of the electronic components used in spacecraft are electrostatically sensitive devices, which put forward higher requirements for storage. Improper storage can easily reduce the quality of electronic components, leading to a decrease in the stability of electronic components or even failure, which increases the cost of spacecraft safety hazards.

At present, traditional methods such as storage cabinets and storage warehouses are commonly used to store electronic components. There are mainly the following shortcomings in monitoring the storage environment:

1. Currently, only the environmental information of the storage location of electronic components is monitored. The monitoring method is too general and the monitoring intensity is not strong. It cannot effectively monitor the entire storage environment in a timely manner, making the reliability, rationality and real-time nature of the monitoring results poor.

2. Manual methods are generally used to record storage environment information, which cannot guarantee the integrity of the electronic component storage data chain, and the data traceability is poor and has a certain degree of one-sidedness. It cannot expand the reference basis for electronic component storage environment analysis, and thus cannot Improve the accuracy of electronic component storage environment adjustment and the traceability of the monitoring system.

3. The service life of electronic components is affected by the storage environment, and due to static electricity, it will penetrate the interior of electronic components, shorten the service life of electronic components, and even fail. The existing technology does not monitor and monitor the static electricity conditions of the storage environment. Adjustment.

4. The monitoring results of the storage environment are generally adjusted manually after simple analysis. This traditional analysis method cannot accurately analyze the storage environment, nor can it achieve all-weather online monitoring and timely adjustment of the storage environment.

5. The existing monitoring system inspects each module of the system itself through manual and semi-automatic methods. This inspection method is relatively traditional, and the inspection period of each module is strong. There is negligence in human factors, and faulty modules cannot be discovered in time, and thus cannot be guaranteed. The good operating status of the entire monitoring system reduces the reliability of the electronic component monitoring system.

To this end, the present invention proposes an AI intelligent monitoring system for electronic component storage, which realizes real-time, reliability, intelligence and data traceability of electronic component storage monitoring.

Contents of the invention

In view of this, in order to solve the technical problems raised in the above background technology, the present invention proposes an electronic component storage AI intelligent monitoring system.

The present invention solves the technical problems by adopting the following technical solutions:

An AI intelligent monitoring system for electronic component storage, characterized in that the system includes an intelligent real-time monitoring module, an intelligent self-monitoring module, an AI intelligent adjustment module, a log module, an electrostatic protection module and an information display module;

The intelligent real-time monitoring module is used to monitor the storage environment in real time, obtain the storage environment information and send it to the AI intelligent adjustment module; the intelligent self-monitoring module is used to perform intelligent self-monitoring of the monitoring system, obtain the self-monitoring information and send it to the AI Intelligent adjustment module; AI intelligent adjustment module analyzes and processes storage environment information, and controls AI intelligent adjustment equipment to adjust the storage environment; AI intelligent adjustment module analyzes and processes self-monitoring information to achieve system failure warning; log module and information display The modules are used for recording and visual display of monitoring data and system operation data respectively;

The electrostatic protection module includes an electrostatic monitoring module and an electrostatic elimination module; the electrostatic monitoring module is used to monitor and analyze the electrostatic status information of the storage environment in real time, and transmit the analysis results to the electrostatic elimination module. The electrostatic elimination module controls the electrostatic adjustment equipment according to the analysis results. Adjust the static electricity conditions of the storage environment.

Further, the AI intelligent adjustment module includes a data receiving module, an intelligent data analysis module and an intelligent decision execution module; the data receiving module is used to receive data monitored by the intelligent real-time monitoring module and the intelligent self-monitoring module, and uses the AI intelligent model to analyze the received data. The data is checked; the intelligent data analysis module uses the AI intelligent model to intelligently analyze the data, and the intelligent decision execution module makes decisions through the intelligent decision model based on the analysis results of the intelligent data analysis module.

Further, the storage environment information includes spatial location information, environmental suitability information and storage duration information; the spatial location information at least includes the size of the space occupied by the electronic components and the location information of the area where they are located, and the environmental suitability information at least includes temperature and humidity. and air composition; the intelligent data analysis module of the AI intelligent adjustment module performs AI intelligent analysis on the spatial position information through the embedded AI intelligent analysis model, generates the first adjustment instruction and passes it to the intelligent decision execution module of the AI intelligent adjustment module, making intelligent decisions The execution module makes intelligent decisions and issues control instructions through the embedded AI intelligent decision-making model, and controls the environmental monitoring equipment to update the spatial location information of electronic components in the storage environment; the intelligent data analysis module of the AI intelligent adjustment module uses the embedded AI intelligent The analysis model performs AI intelligent analysis on the environmental suitability information, generates a second adjustment instruction and passes it to the intelligent decision execution module of the AI intelligent adjustment module. The intelligent decision execution module makes intelligent decisions and issues control instructions through the embedded AI intelligent decision model. Control the work of the AI intelligent adjustment equipment; the intelligent data analysis module of the AI intelligent adjustment module performs AI intelligent analysis on the storage duration information through the embedded AI intelligent analysis model, generates a third adjustment instruction and passes it to the intelligent decision execution module of the AI intelligent adjustment module , the intelligent decision-making execution module makes intelligent decisions through the embedded AI intelligent decision-making model and issues control instructions to control the environmental monitoring equipment to update the storage duration information.

Further, the information display module displays the information of the intelligent real-time monitoring module, the intelligent self-monitoring module, the AI intelligent adjustment module and the electrostatic protection module in real time in a region-by-region manner.

Further, the static electricity status information at least includes the storage environment resistance value. When the storage environment resistance value is greater than 1×10 ⁵ Ω, the static electricity monitoring module sends a static electricity elimination instruction to the static electricity elimination module, and the static electricity elimination module controls the devices deployed in the storage environment. Static adjustment equipment works.

Furthermore, the intelligent real-time monitoring module uses the embedded AI intelligent data recognition model to perform real-time AI discrimination on the storage environment information to determine whether the acquired data is normal or has a breakpoint.

Compared with the prior art, the beneficial effects of the present invention are as follows:

1. The monitoring system of the present invention adopts the concept of modular integrated design. The modular design makes it easy to network the environmental monitoring equipment and electrostatic monitoring equipment, effectively solves the problem of too single dimension of monitoring in the current technology, and breaks the limitations of the current general monitoring system. limitations, effectively improving the monitoring intensity and intensity of electronic component storage environment, and improving the real-time, reliability and rationality of electronic component storage environment monitoring results.

2. The storage environment is monitored in real time through the intelligent real-time monitoring module. After the monitoring data is analyzed and processed by the AI intelligent adjustment module, the AI intelligent adjustment device in the storage environment is controlled to adjust the storage environment to ensure the suitability of the storage environment and provide a good foundation for electronics. Components provide a good storage environment, which is conducive to extending the service life of electronic components. The static electricity status of the storage environment is monitored through the electrostatic protection module. After analysis and processing, the static elimination module controls the static electricity adjustment equipment to adjust the static electricity status of the electronic components storage environment to avoid internal breakdown of the electronic components and ensure that the electronic components are protected. The quality and stability effectively reduce the storage waste rate of electronic components.

3. System monitoring data and data generated during operation are recorded in the log module, which expands the reference basis for electronic component storage environment analysis, ensures the validity and reliability of the data, and greatly improves the efficiency of electronic component storage. The accuracy of environmental adjustment and the traceability of data facilitate timely management by subsequent storage managers of electronic components. The information display module displays monitoring data and operating data in real time, realizing data visualization. The monitoring system is intelligently monitored through the intelligent self-monitoring function to achieve fault warning, which greatly extends the normal operation time of the monitoring system, enhances the stability of the electronic component monitoring system, and effectively improves the reliability of storage environment monitoring results. It effectively reduces the failure rate of the monitoring system and the damage rate of electronic components.

Description of drawings

Figure 1 is a schematic diagram of the system structure of the present invention;

Figure 2 is a schematic structural diagram of the intelligent real-time monitoring module of the present invention;

Figure 3 is a schematic structural diagram of the AI intelligent adjustment module of the present invention;

Figure 4 is a schematic diagram of the work flow of the AI intelligent adjustment module of the present invention;

Figure 5 is a control flow chart of the intelligent real-time monitoring module and AI intelligent adjustment module of the present invention;

Figure 6 is a schematic structural diagram of the electrostatic protection module of the present invention;

Reference symbols: 1. Intelligent real-time monitoring module; 2. Intelligent self-monitoring module; 3. AI intelligent adjustment module; 4. Log module; 5. Electrostatic protection module; 6. Information display module;

301. Data receiving module; 302. Intelligent data analysis module; 303. Intelligent decision execution module; 501. Static electricity monitoring module; 502. Static electricity elimination module.

Detailed ways

Specific embodiments will be given below in conjunction with the accompanying drawings. The specific embodiments are only used to introduce the technical solutions of the present invention in detail and do not limit the scope of protection of the present application.

The invention provides an electronic component storage AI intelligent monitoring system (referred to as the system, see Figures 1 to 6), which includes an intelligent real-time monitoring module 1, an intelligent self-monitoring module 2, an AI intelligent adjustment module 3, a log module 4, and an electrostatic protection module. 5 and information display module 6; among them, AI intelligent adjustment module 3 is connected with intelligent real-time monitoring module 1, intelligent self-monitoring module 2, log module 3 and information display module 6, and electrostatic protection module 5 is connected with log module 4 and information display module 6 connect;

The intelligent real-time monitoring module 1 is used to conduct real-time monitoring of the storage environment of electronic components and obtain storage environment information; the intelligent self-monitoring module 2 is used to conduct intelligent self-monitoring of the monitoring system and monitor each module in the system through the AI intelligent model. Access to obtain self-monitoring information; AI intelligent adjustment module 3 is used to receive data from intelligent real-time monitoring module 1 and intelligent self-monitoring module 2, and based on the data from intelligent real-time monitoring module 1 and intelligent self-monitoring module 2, after AI intelligent analysis Make decisions and control the AI intelligent adjustment equipment to adjust the storage environment; the log module 4 is used to record the data monitored by the system and the data generated during operation in real time, generate and save the work log; the electrostatic protection module 5 is used to protect electronic components The static electricity status in the device storage environment is monitored and the static electricity status in the storage environment is adjusted; the information display module 6 is used to display the data monitored by the system and the data generated during operation in real time.

As a preferred embodiment, the intelligent real-time monitoring module 1 uses the deployed environmental monitoring equipment to conduct real-time monitoring of at least the spatial location, environmental suitability and storage duration of the storage environment. Therefore, the storage environment information monitored in real time by the intelligent real-time monitoring module is at least Including spatial location information A1, environmental suitability information A2 and storage duration information A3; for spatial location monitoring, the intelligent real-time monitoring module 1 generates spatial location monitoring instructions to conduct real-time monitoring of the space occupied by electronic components and the location information of the area. And through the AI intelligent data recognition model embedded in the intelligent real-time monitoring module 1, real-time AI discrimination is performed to obtain the spatial location information of the storage environment; for environmental suitability monitoring, the intelligent real-time monitoring module 1 generates environmental suitability monitoring instructions to monitor electronic components. The suitability information in the storage environment is monitored in real time, and the suitability information including temperature, humidity and air composition is obtained through real-time AI discrimination through the AI intelligent data recognition model embedded in the intelligent real-time monitoring module 1; for storage duration monitoring , the intelligent real-time monitoring module 1 generates storage duration monitoring instructions, performs real-time monitoring of the storage duration information of the electronic component storage environment, and performs real-time AI discrimination through the AI intelligent data recognition model embedded in the intelligent real-time monitoring module 1 to obtain the storage duration information . The intelligent real-time monitoring module 1 transmits the monitored storage environment information to the AI intelligent adjustment module 3. The AI intelligent adjustment module 3 integrates information from other modules to make reasonable decisions on the control of the storage environment of electronic components.

In this embodiment, the environmental monitoring equipment is placed anywhere in the electronic component storage environment to monitor the storage environment information. There can be one or more environmental monitoring devices, and the number of environmental monitoring devices can be set according to the number of electronic components that need to be monitored and the information that each electronic component needs to monitor. Environmental monitoring equipment includes but is not limited to laser rangefinders, cameras, timers, temperature sensors, humidity sensors, air concentration sensors, and other equipment. The connection method between the environmental monitoring equipment and the intelligent real-time monitoring module 1 can be wired or wireless. In this way, the data collected by the environmental monitoring equipment is transmitted to the intelligent real-time monitoring module 1. The intelligent real-time monitoring module 1 passes AI judgment and then transmits it to the AI intelligent adjustment module. The AI intelligent data recognition model used by the intelligent real-time monitoring module 1 can be support vector machine, logistic regression, deep neural network, convolutional neural network, etc. in machine learning, but is not limited to the above model, and is mainly used for discriminating monitoring. Whether the data is normal or broken.

As a preferred embodiment, the intelligent self-monitoring module 2 monitors the operating status of each module of the monitoring system according to the preset monitoring cycle and monitoring range, obtains the data flow during the operation of each module, and passes the intelligent self-monitoring module The AI intelligent model of 2 analyzes whether the data flow is normal, and transmits the analysis results to the AI intelligent adjustment module 3. The AI intelligent adjustment module 3 sends it to the log module 4 and the information display module 6, and records it in the log module 4. Information display module 6 is displayed in real time. The AI intelligent model of the intelligent self-monitoring module 2 measures the status of the data flow by transmitting the data duration and the amount of data transmitted. The monitoring period is generally in days or weeks.

As a preferred embodiment, the AI intelligent adjustment module 3 includes a data receiving module 301, an intelligent data analysis module 302 and an intelligent decision execution module 303; wherein, the data receiving module 301 is used to perform intelligent real-time monitoring module 1 and intelligent self-monitoring. The data transmitted by module 2 is accurately received, and at the same time, the received information is checked through the AI intelligent model, such as whether the received information is correct and the error rate of the received information is checked; the intelligent data analysis module 302 is used to perform intelligent processing on the received data. Analyze and pass the analysis results to the intelligent decision execution module 303; the intelligent decision execution module 303 receives the analysis results transmitted by the intelligent data analysis module 302, makes decisions through the intelligent decision model, and accurately controls and adjusts the storage environment. The intelligent data analysis module 302 accurately analyzes the data through the embedded AI intelligent analysis model. The intelligent decision execution module 303 makes intelligent decisions according to the preset AI intelligent decision model, and issues decision execution instructions to control the intelligence deployed in the storage environment. Adjustment equipment; when the intelligent decision execution module 303 receives an administrator instruction, the intelligent adjustment equipment can be directly controlled by the administrator, skipping the control of the monitoring system. After the data receiving module 301 receives the spatial location information A1, and after AI intelligent analysis by the intelligent data analysis module 302, it generates the first adjustment instruction B1 and passes it to the intelligent decision execution module 303. The intelligent decision execution module 303 issues a control instruction to control the environment. The monitoring equipment updates the spatial location information of the electronic components in the storage environment; the data receiving module 301 receives the environmental suitability information A2, and through the AI intelligent analysis of the intelligent data analysis module 302, generates the second adjustment instruction B2 and passes it to the intelligent decision execution Module 303, the intelligent decision execution module 303 controls the work of the AI intelligent adjustment equipment to improve the storage environment; after the data receiving module 301 receives the storage duration information A3, it generates the third adjustment instruction B3 through the AI intelligent analysis of the intelligent data analysis module 302 And passed to the intelligent decision execution module 303, the intelligent decision execution module 303 issues a control instruction to control the environmental monitoring equipment to update the storage duration information. AI intelligent adjustment equipment includes but is not limited to air conditioners, dehumidifiers and SSGM series gas dynamic gas distribution devices.

As a preferred embodiment, the electrostatic protection module 5 includes an electrostatic monitoring module 501 and an electrostatic elimination module 502; the electrostatic monitoring module 501 is used to monitor the electrostatic status information in the storage environment of electronic components in real time, and to monitor the monitored electrostatic status information. Analysis is performed and the analysis results are transmitted to the static elimination module 502. The static elimination module 502 controls the static adjustment equipment to adjust the static conditions of the electronic component storage environment according to the analysis results. The static electricity status information and analysis results monitored by the static electricity monitoring module 501 are transmitted to the log module 4 for record keeping and transmitted to the information display module 6 for visual display; the static electricity status information at least includes the storage environment resistance value; the static electricity monitoring module 501 at least includes continuous electrostatic monitoring The instrument is used to monitor the resistance value of the storage environment in real time. When the resistance value of the storage environment is greater than 1×10 ⁵ Ω, the static electricity monitoring module 501 sends a static electricity elimination instruction to the static electricity elimination module 502. The static electricity elimination module 502 controls the work of the static electricity adjustment equipment to improve The static electricity condition of the storage environment is until the resistance value of the storage environment is less than or equal to 1×10 ⁵ Ω, and the static electricity elimination module 502 controls the static electricity adjustment device to turn off. Static adjustment equipment includes but is not limited to ion blowers and static eliminators.

As a preferred embodiment, the log module 4 includes a local storage server; the log module 4 records and saves the data obtained by each module and the intermediate data generated during operation to ensure the searchability of all data. The log module also includes a cloud server. All data is uploaded to the cloud server. Embedded AI algorithms are used to identify and analyze the saved data, marking important data for key protection.

As a preferred embodiment, the information display module 6 is used to display the information of the intelligent real-time monitoring module 1, the intelligent self-monitoring module 2, the AI intelligent adjustment module 3 and the electrostatic protection module 5 in real time. The information display module 6 uses holographic imaging technology to display the information of each module in a holographic image in the form of regions, thereby improving the integrity and intuitiveness of the system information display. For example, the storage environment information obtained by the intelligent real-time monitoring module 1 is displayed in real time in the intelligent real-time monitoring module information display area to ensure the independence of displaying the information of the intelligent real-time monitoring module; the information of other modules is displayed in the same way. Administrators can observe the status or faults of each module of the monitoring system through images, determine damaged equipment, and locate the error location, which improves the efficiency of the monitoring system.

In all the above embodiments, in order to realize some special data transmission and read/write function requirements, the above method operation process and its corresponding device may add devices, modules, devices, hardware, pin links or memory and processor differences. to extend functionality.

Those skilled in the field can clearly understand that for the convenience and simplicity of description, the specific working processes of the above-described methods, devices and units can be referred to the corresponding processes in the foregoing method embodiments, and will not be described again here.

In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the method steps is only a logical or functional division. In actual implementation, there may be other divisions, for example, multiple units or components. can be combined or can be integrated into another system, or some features can be ignored, or not implemented. On the other hand, the coupling or direct coupling or communication connection between each other shown or discussed may be through some interfaces, and the indirect coupling or communication connection of the devices or units may be in electrical, mechanical or other forms.

The units described as separate steps of the method and separate components of the device may or may not be logically or physically separate, and may not be physical units. That is, they may be located in one place, or may be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

The method steps and their implementation and functional units in various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of hardware plus software functional units.

The above methods and devices can be implemented as integrated units in the form of software functional units, which can be stored in a computer-readable storage medium. The above-mentioned software functional unit is stored in a storage medium and includes a number of instructions to cause a computer device or processor to execute some steps of the method described in various embodiments of the present invention.

The above-mentioned computer devices include personal computers, servers or network devices, etc.; the above-mentioned storage media include ordinary USB flash drives, encrypted USB flash drives, mobile solid-state drives, mobile mechanical hard drives, mobile floppy disks, read-only memories, random access memories, NVRAM, and magnetic disks. Or various media such as CDs that can store program code.

The parts not described in the present invention are applicable to the existing technology.

Claims (6)

1. The intelligent AI monitoring system for electronic component storage is characterized by comprising an intelligent real-time monitoring module, an intelligent self-monitoring module, an AI intelligent adjusting module, a log module, an electrostatic protection module and an information display module;

the intelligent real-time monitoring module is used for monitoring the storage environment in real time, acquiring storage environment information and sending the storage environment information to the AI intelligent adjusting module; the intelligent self-monitoring module is used for carrying out intelligent self-monitoring on the monitoring system, obtaining self-monitoring information and sending the self-monitoring information to the AI intelligent adjustment module; the AI intelligent adjustment module analyzes and processes the storage environment information and controls the AI intelligent adjustment device to adjust the storage environment; the AI intelligent adjusting module analyzes and processes the self-monitoring information to realize fault early warning of the system; the log module and the information display module are respectively used for recording and visually displaying monitoring data and system operation data;

the static electricity protection module comprises a static electricity monitoring module and a static electricity eliminating module; the static monitoring module is used for monitoring and analyzing static condition information of the storage environment in real time, transmitting an analysis result to the static eliminating module, and controlling the static adjusting equipment to adjust the static condition of the storage environment according to the analysis result.

2. The electronic component storage AI intelligent monitoring system of claim 1, wherein the AI intelligent adjustment module comprises a data receiving module, an intelligent data analysis module, and an intelligent decision execution module; the data receiving module is used for receiving the data monitored by the intelligent real-time monitoring module and the intelligent self-monitoring module and checking the received data by using the AI intelligent model; the intelligent data analysis module performs intelligent analysis on the data by using the AI intelligent model, and the intelligent decision execution module makes decisions through the intelligent decision model according to the analysis result of the intelligent data analysis module.

3. The electronic component storage AI intelligent monitoring system of claim 1 or 2, wherein the storage environment information includes spatial location information, environment suitability information, and storage duration information; the space position information at least comprises the space size occupied by the electronic components and the position information of the area where the electronic components are positioned, and the environment suitability information at least comprises temperature, humidity and air components; the intelligent data analysis module of the AI intelligent adjustment module carries out AI intelligent analysis on the space position information through the embedded AI intelligent analysis model, generates a first adjustment instruction and transmits the first adjustment instruction to the intelligent decision execution module of the AI intelligent adjustment module, and the intelligent decision execution module carries out intelligent decision and sends out a control instruction through the embedded AI intelligent decision model to control the environment monitoring equipment to update the space position information of the electronic component in the storage environment; the intelligent data analysis module of the AI intelligent adjustment module carries out AI intelligent analysis on the environment suitability information through the embedded AI intelligent analysis model, generates a second adjustment instruction and transmits the second adjustment instruction to the intelligent decision execution module of the AI intelligent adjustment module, and the intelligent decision execution module carries out intelligent decision and sends out a control instruction through the embedded AI intelligent decision model to control the operation of the AI intelligent adjustment device; the intelligent data analysis module of the AI intelligent adjustment module carries out AI intelligent analysis on the storage time length information through the embedded AI intelligent analysis model, generates a third adjustment instruction and transmits the third adjustment instruction to the intelligent decision execution module of the AI intelligent adjustment module, and the intelligent decision execution module carries out intelligent decision and sends out a control instruction through the embedded AI intelligent decision model to control the environment monitoring equipment to update the storage time length information.

4. The intelligent electronic component storage AI monitoring system of claim 1, wherein the information display module displays information of the intelligent real-time monitoring module, the intelligent self-monitoring module, the intelligent AI adjusting module and the electrostatic protection module in a zoned manner in real time.

5. The electronic component storage AI intelligent monitoring system of claim 1, wherein the static electricity status information includes at least a storage environment resistance value, when the storage environment resistance value is greater than 1 x 10 ⁵ And when omega is performed, the static electricity monitoring module sends a static electricity eliminating instruction to the static electricity eliminating module, and the static electricity eliminating module controls static electricity adjusting equipment deployed in a storage environment to work.

6. The intelligent AI-monitoring system for electronic component storage of claim 1, wherein the intelligent real-time monitoring module performs real-time AI-discrimination on storage environment information using an embedded AI-intelligent data recognition model to discriminate whether acquired data is normal or has a breakpoint.