CN118916819A - Gallium oxide crystal storage environment monitoring system and method based on artificial intelligence - Google Patents

Abstract

The invention discloses a gallium oxide crystal storage environment monitoring system and method based on artificial intelligence, which belongs to the general control system field. The invention imports acquired characteristic change data of the gallium oxide crystal into a characteristic change abnormality analysis strategy to perform characteristic change abnormality analysis, imports acquired environmental change data during the storage process into the environmental change abnormality analysis strategy to perform environmental change abnormality analysis, performs remaining storage time analysis on acquired characteristic change abnormality analysis results and environmental change abnormality analysis results, compares the analyzed remaining storage time with a set remaining storage time threshold, performs crystal storage environment early warning, performs change abnormality analysis on characteristic change data of the gallium oxide crystal during the storage process, and integrates environmental change analysis results to accurately estimate the storage time of the gallium oxide crystal, thereby improving the storage safety of the gallium oxide crystal.

Description

Gallium oxide crystal storage environment monitoring system and method based on artificial intelligence

Technical Field

The present invention belongs to the general field of control systems, and more specifically to an artificial intelligence-based gallium oxide crystal storage environment monitoring system and method.

Background Art

Gallium oxide crystal is an important semiconductor material with excellent electronic and optical properties. When storing gallium oxide crystal, in order to ensure the quality and stability of gallium oxide crystal, the storage environment should maintain constant temperature and humidity, avoid light and contact with harmful gases, and maintain safety. The gallium oxide crystal storage environment monitoring system in the prior art can monitor environmental parameters in real time, timely discover and deal with factors that may affect the quality of the crystal, thereby improving the quality and stability of the crystal; however, the prior art cannot analyze the abnormal changes in the characteristic change data of the gallium oxide crystal during the storage process, and cannot integrate the environmental change analysis results, and cannot accurately estimate the storage time of the gallium oxide crystal, resulting in reduced storage safety of the gallium oxide crystal. Most of the prior art has the above problems;

For example, a Chinese patent with the authorization publication number CN104360651B involves a pen environment monitoring system, including a central control area and multiple pen systems connected to the central control area; the central control area includes a main controller and a control cabinet; the main controller is provided with an expert control system, and the expert control system stores livestock and poultry source information and expert knowledge; the control cabinet is provided with a temperature control drive device, a ventilation equipment drive device and a feeding equipment drive device; the pen system includes a detection system and a maintenance system; the detection system includes temperature detection, humidity detection and gas-sensitive detection devices; the maintenance system has filtering and cleaning functions, including temperature control equipment, ventilation equipment and feeding equipment. The system can achieve real-time and precise control, and if there is a slight deviation in the pen environment, the system will correct it in time to keep the pen in an environment that is conducive to the growth of livestock and poultry;

The above patents all have the problems raised by this background technology. In order to solve the problems raised by this background technology, this application designs a gallium oxide crystal storage environment monitoring system and method based on artificial intelligence.

Summary of the invention

In view of the deficiencies of the prior art, the present invention proposes a gallium oxide crystal storage environment monitoring system and method based on artificial intelligence.

To achieve the above object, the present invention provides the following technical solution: a method for monitoring the storage environment of gallium oxide crystals based on artificial intelligence, which comprises the following specific steps:

Acquiring characteristic change data of the gallium oxide crystals during the storage of the gallium oxide crystals and environmental change data during the storage;

Importing the acquired characteristic change data of the gallium oxide crystal into the characteristic change abnormality analysis strategy to perform characteristic change abnormality analysis;

Importing the acquired environmental change data in the storage process into the environmental change anomaly analysis strategy to perform environmental change anomaly analysis;

Performing a remaining storage time analysis on the obtained characteristic change abnormality analysis results and environmental change abnormality analysis results;

The remaining storage time obtained by analysis is compared with the set remaining storage time threshold to issue a crystal storage environment warning.

It should be specifically stated that, as a preferred technical solution of the method for monitoring the storage environment of gallium oxide crystals based on artificial intelligence, the specific steps of obtaining the characteristic change data of the gallium oxide crystals during the storage process of the gallium oxide crystals and the environmental change data during the storage process are:

S11, regularly sampling and obtaining characteristic change data of the gallium oxide crystals during the storage process of the gallium oxide crystals, wherein the characteristic change data includes conductivity change data, carrier concentration change data and mobility change data, and storing the data in the first storage component;

S12, obtaining environmental change data during the storage of the gallium oxide crystals, the environmental change data including temperature change data and humidity change data, and storing them in the second storage component.

It should be specifically stated that, as a preferred technical solution of the method for monitoring the storage environment of gallium oxide crystals based on artificial intelligence, the step of importing the acquired characteristic change data of the gallium oxide crystals into the characteristic change abnormality analysis strategy for characteristic change abnormality analysis includes the following specific steps:

S21, obtaining characteristic data of the gallium oxide crystal at the sampling time, and importing the characteristic data of the gallium oxide crystal at the sampling time into a characteristic change abnormal value calculation formula to calculate the characteristic change abnormal value, wherein the characteristic change abnormal value calculation formula is: , where n is the characteristic data type, ai is the proportion coefficient of the i-th characteristic data type, ki is the detection data of the i-th characteristic data type at the sampling time, kim is the median value of the safety range of the i-th characteristic data type, kimax is the maximum value of the safety range of the i-th characteristic data type, and kimin is the minimum value of the safety range of the i-th characteristic data type;

S22, obtaining the characteristic change abnormal value at the current sampling moment and the characteristic change abnormal value at the previous sampling moment, and introducing them into the characteristic change abnormal speed calculation formula to calculate the characteristic change abnormal speed, wherein the characteristic change abnormal speed calculation formula is: , where T is the duration from the current sampling moment to the previous sampling moment, Xtk is the abnormal value of the characteristic change at the current sampling moment, and Xt(k-1) is the abnormal value of the characteristic change at the previous sampling moment.

The advantages of the above steps are: accurate analysis of abnormal characteristic changes based on the conductivity change data, carrier concentration change data and mobility change data of the gallium oxide crystal during storage;

It should be specifically stated that, as a preferred technical solution of the method for monitoring the storage environment of gallium oxide crystals based on artificial intelligence, the step of importing the acquired environmental change data during the storage process into the environmental change anomaly analysis strategy for environmental change anomaly analysis includes the following specific steps:

S31, obtaining the environmental change data in the storage process of the cycle corresponding to the sampling time, and importing the obtained environmental change data into the environmental change abnormal value calculation formula to calculate the environmental change abnormal value, wherein the environmental change abnormal value calculation formula is: , where T is the cycle duration corresponding to the sampling moment, bj is the proportion coefficient of the j-th environmental data type, dt is the time integral, zjt is the value of the j-th environmental data type at time t in the cycle, zjm is the median value of the safety range of the j-th environmental data type, zjmax is the maximum value of the safety range of the j-th environmental data type, and zjmin is the minimum value of the safety range of the j-th environmental data type;

S32, the obtained abnormal environment change value of the period corresponding to the current sampling moment and the abnormal environment change value of the period corresponding to the previous sampling moment are introduced into the abnormal environment change speed calculation formula to calculate the abnormal environment change speed, wherein the abnormal environment change speed calculation formula is: ,in, is the abnormal value of the environmental change in the period corresponding to this sampling moment, It is the abnormal value of environmental change in the period corresponding to the last sampling moment.

The advantages of the above steps are: by performing a safety analysis on abnormal data of environmental changes, the accuracy of the prediction of the remaining storage time is improved.

It should be specifically stated that, as a preferred technical solution of the method for monitoring the storage environment of gallium oxide crystals based on artificial intelligence, the remaining storage time analysis of the obtained abnormal characteristic change analysis results and the abnormal environmental change analysis results includes the following specific contents:

S41, obtain the calculated characteristic change abnormal value and characteristic change abnormal speed of the current sampling period, and import them into the calculation formula of the preliminary characteristic change abnormal value at the future moment to calculate the preliminary characteristic change abnormal value, wherein the calculation formula of the preliminary characteristic change abnormal value at the future moment tr is: , where tr is the duration;

S42, obtain the calculated abnormal value of environmental change and the abnormal change speed of environmental change, and import them into the calculation formula of abnormal value of environmental impact change at the future moment to calculate the abnormal value of environmental impact change at the future moment, wherein the calculation formula of abnormal value of environmental impact change at the future moment tr is: ;

S43, substituting the calculated preliminary characteristic change abnormal value at the future time tr and the environmental impact change abnormal value at the future time tr into the characteristic change abnormal value calculation formula at the future time tr to calculate the characteristic change abnormal value at the future time tr, wherein the characteristic change abnormal value calculation formula at the future time tr is: , where exp() is the power of the natural constant e;

S44. Obtain the calculated characteristic change abnormality value at the future tr moment and compare it with the set characteristic change abnormality threshold. If the characteristic change abnormality value at the future tr moment is greater than or equal to the set characteristic change abnormality threshold, set the corresponding moment as the selected moment, and set the minimum time from the selected moment to the current moment as the remaining storage time.

It should be specifically explained that, as a preferred technical solution for the gallium oxide crystal storage environment monitoring method based on artificial intelligence, the specific content of comparing the remaining storage time obtained by analysis with the set remaining storage time threshold and issuing a crystal storage environment warning is: obtaining the remaining storage time and comparing it with the set remaining storage time threshold. If the remaining storage time is less than or equal to the set remaining storage time threshold, a crystal storage environment warning is issued; if the remaining storage time is greater than the set remaining storage time threshold, no crystal storage environment warning is issued.

An artificial intelligence-based gallium oxide crystal storage environment monitoring system, which is implemented based on the above-mentioned artificial intelligence-based gallium oxide crystal storage environment monitoring method, and specifically includes a data acquisition module, a characteristic change abnormality analysis module, an environmental change abnormality analysis module, a remaining storage time analysis module and a storage environment early warning module;

Wherein, the data acquisition module is used to acquire characteristic change data of the gallium oxide crystals during the storage process of the gallium oxide crystals and environmental change data during the storage process;

The characteristic change abnormality analysis module is used to import the acquired characteristic change data of the gallium oxide crystal into the characteristic change abnormality analysis strategy to perform characteristic change abnormality analysis;

The environmental change anomaly analysis module is used to import the environmental change data obtained during the storage process into the environmental change anomaly analysis strategy to perform environmental change anomaly analysis;

The remaining storage time analysis module is used to perform remaining storage time analysis on the acquired characteristic change abnormality analysis results and environmental change abnormality analysis results;

The storage environment early warning module is used to compare the remaining storage time obtained by analysis with the set remaining storage time threshold to perform a crystal storage environment early warning;

It may also include a control module for controlling the operation of the data acquisition module, the characteristic change abnormality analysis module, the environmental change abnormality analysis module, the remaining storage time analysis module and the storage environment early warning module.

An electronic device comprises: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;

The processor executes the above-mentioned artificial intelligence-based gallium oxide crystal storage environment monitoring method by calling the computer program stored in the memory.

A computer-readable storage medium stores instructions, which, when executed on a computer, enable the computer to execute the above-mentioned method for monitoring the storage environment of gallium oxide crystals based on artificial intelligence.

Compared with the prior art, the present invention has the following beneficial effects:

The present invention obtains characteristic change data of gallium oxide crystals during the storage process of gallium oxide crystals and environmental change data during the storage process, imports the obtained characteristic change data of gallium oxide crystals into a characteristic change abnormality analysis strategy for characteristic change abnormality analysis, imports the obtained environmental change data during the storage process into an environmental change abnormality analysis strategy for environmental change abnormality analysis, performs remaining storage time analysis on the obtained characteristic change abnormality analysis results and environmental change abnormality analysis results, compares the analyzed remaining storage time with a set remaining storage time threshold, performs crystal storage environment early warning, performs change abnormality analysis on the characteristic change data of gallium oxide crystals during the storage process, and integrates the environmental change analysis results to accurately estimate the storage time of the gallium oxide crystals, thereby improving the storage safety of the gallium oxide crystals.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is a schematic diagram of the overall process of the gallium oxide crystal storage environment monitoring method based on artificial intelligence of the present invention;

FIG2 is a schematic diagram of step S4 of the gallium oxide crystal storage environment monitoring method based on artificial intelligence of the present invention;

FIG3 is a schematic diagram of the overall framework of the gallium oxide crystal storage environment monitoring system based on artificial intelligence of the present invention;

FIG. 4 is a schematic diagram of the information transmission framework of the present invention.

DETAILED DESCRIPTION

The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. The following description of at least one exemplary embodiment is actually only illustrative and is by no means intended to limit the present application and its application or use.

Example 1

To solve the technical problems raised in the background technology, the present invention provides a preferred embodiment: as shown in FIG4 , the scenario of this embodiment is: the characteristic change data of the gallium oxide crystal in the storage process of the gallium oxide crystal is obtained through the characteristic change collection terminal at the storage node, the environmental change data in the storage process is collected through the environmental change collection terminal, and the data is transmitted to the server. The server performs abnormal change analysis on the characteristic change data of the gallium oxide crystal in the storage process, and integrates the environmental change analysis results to accurately estimate the storage time of the gallium oxide crystal, and the estimation result is transmitted to the administrator terminal for crystal storage environment warning;

The specific content of this embodiment is as follows: As shown in FIG. 1-FIG 2, a method for monitoring the storage environment of gallium oxide crystals based on artificial intelligence includes the following specific steps:

S1. Acquiring characteristic change data of the gallium oxide crystals during the storage process of the gallium oxide crystals and environmental change data during the storage process;

In this embodiment, the specific steps of obtaining the characteristic change data of the gallium oxide crystal during the storage process of the gallium oxide crystal and the environmental change data during the storage process are:

S11, regularly sampling and obtaining characteristic change data of the gallium oxide crystals during the storage process of the gallium oxide crystals, wherein the characteristic change data includes conductivity change data, carrier concentration change data and mobility change data, and storing the data in the first storage component;

The following are the changes in the properties of gallium oxide crystals during storage:

Gallium oxide crystals may form an oxide layer on their surface during storage due to moisture or contaminants in the environment, which may cause changes in their conductivity;

If the ambient temperature changes during storage, the carrier concentration of the gallium oxide crystal may also change. An increase in temperature usually increases the carrier concentration because more valence band electrons are excited to the conduction band to form free carriers.

Excessive humidity may cause water to be adsorbed on the crystal surface, and the water may react with the gallium oxide surface to form new defects, which may become recombination centers for electron-hole pairs and reduce the carrier concentration;

High temperatures may cause changes in the crystal's internal structure, such as an increase in lattice defects, which can scatter electrons and reduce mobility;

When the humidity is too high, water may be adsorbed on the crystal surface, resulting in an increase in surface states, which can capture electrons and increase scattering, thereby reducing mobility;

In order to obtain accurate data on property changes, long-term experimental observations are required under controlled conditions. In experiments, various performance parameters of the crystal are usually tested regularly to evaluate changes in crystal properties during storage.

S12, obtaining environmental change data during the storage of the gallium oxide crystals, the environmental change data including temperature change data and humidity change data, and storing the data in the second storage component;

S2, importing the acquired characteristic change data of the gallium oxide crystal into the characteristic change abnormality analysis strategy to perform characteristic change abnormality analysis;

In this embodiment, importing the acquired characteristic change data of the gallium oxide crystal into the characteristic change abnormality analysis strategy for characteristic change abnormality analysis includes the following specific steps:

S21, obtaining characteristic data of the gallium oxide crystal at the sampling time, and importing the characteristic data of the gallium oxide crystal at the sampling time into a characteristic change abnormal value calculation formula to calculate the characteristic change abnormal value, wherein the characteristic change abnormal value calculation formula is: , where n is the characteristic data type, ai is the proportion coefficient of the i-th characteristic data type, ki is the detection data of the i-th characteristic data type at the sampling time, kim is the median value of the safety range of the i-th characteristic data type, kimax is the maximum value of the safety range of the i-th characteristic data type, and kimin is the minimum value of the safety range of the i-th characteristic data type;

S22, obtaining the characteristic change abnormal value at the current sampling moment and the characteristic change abnormal value at the previous sampling moment, and introducing them into the characteristic change abnormal speed calculation formula to calculate the characteristic change abnormal speed, wherein the characteristic change abnormal speed calculation formula is: , where T is the duration from the current sampling moment to the previous sampling moment, Xtk is the abnormal value of characteristic change at the current sampling moment, and Xt(k-1) is the abnormal value of characteristic change at the previous sampling moment;

In this way, the abnormal changes in characteristics can be accurately analyzed based on the conductivity change data, carrier concentration change data and mobility change data of the gallium oxide crystal during storage;

S3, importing the environmental change data obtained during the storage process into the environmental change anomaly analysis strategy to perform environmental change anomaly analysis;

In this embodiment, the environmental change data obtained during storage is imported into the environmental change anomaly analysis strategy for environmental change anomaly analysis, which includes the following specific steps:

S31, obtaining the environmental change data in the storage process of the cycle corresponding to the sampling time, and importing the obtained environmental change data into the environmental change abnormal value calculation formula to calculate the environmental change abnormal value, wherein the environmental change abnormal value calculation formula is: , where T is the cycle duration corresponding to the sampling moment, bj is the proportion coefficient of the j-th environmental data type, dt is the time integral, zjt is the value of the j-th environmental data type at time t in the cycle, zjm is the median value of the safety range of the j-th environmental data type, zjmax is the maximum value of the safety range of the j-th environmental data type, and zjmin is the minimum value of the safety range of the j-th environmental data type;

S32, the obtained abnormal environment change value of the period corresponding to the current sampling moment and the abnormal environment change value of the period corresponding to the previous sampling moment are introduced into the abnormal environment change speed calculation formula to calculate the abnormal environment change speed, wherein the abnormal environment change speed calculation formula is: ,in, is the abnormal value of environmental change in the period corresponding to this sampling moment, is the abnormal value of environmental change in the period corresponding to the last sampling moment;

This improves the accuracy of the prediction of the remaining storage time by conducting a safety analysis of abnormal data on environmental changes;

S4, analyzing the remaining storage time of the obtained characteristic change abnormal analysis results and environmental change abnormal analysis results;

In this embodiment, the remaining storage time analysis of the obtained characteristic change abnormality analysis results and environmental change abnormality analysis results includes the following specific contents:

S41, obtain the calculated characteristic change abnormal value and characteristic change abnormal speed of the current sampling period, and import them into the calculation formula of the preliminary characteristic change abnormal value at the future moment to calculate the preliminary characteristic change abnormal value, wherein the calculation formula of the preliminary characteristic change abnormal value at the future moment tr is: , where tr is the duration;

S42, obtain the calculated abnormal value of environmental change and the abnormal change speed of environmental change, and import them into the calculation formula of abnormal value of environmental impact change at the future moment to calculate the abnormal value of environmental impact change at the future moment, wherein the calculation formula of abnormal value of environmental impact change at the future moment tr is: ;

S43, substituting the calculated preliminary characteristic change abnormal value at the future time tr and the environmental impact change abnormal value at the future time tr into the characteristic change abnormal value calculation formula at the future time tr to calculate the characteristic change abnormal value at the future time tr, wherein the characteristic change abnormal value calculation formula at the future time tr is: , where exp() is the power of the natural constant e;

S44, obtaining the calculated characteristic change abnormal value at the future time tr and comparing it with the set characteristic change abnormal threshold, if the characteristic change abnormal value at the future time tr is greater than or equal to the set characteristic change abnormal threshold, then setting the corresponding time as the selected time, and setting the minimum time from the selected time to the current time as the remaining storage time;

S5, comparing the remaining storage time obtained by analysis with the set remaining storage time threshold, and performing a crystal storage environment early warning;

In this embodiment, the remaining storage time obtained by analysis is compared with the set remaining storage time threshold, and the specific content of the crystal storage environment warning is: obtain the remaining storage time and compare it with the set remaining storage time threshold. If the remaining storage time is less than or equal to the set remaining storage time threshold, a crystal storage environment warning is issued; if the remaining storage time is greater than the set remaining storage time threshold, no crystal storage environment warning is issued. The remaining storage time threshold here is flexibly set according to the preparation time of the management personnel. For example, the preparation time of the management personnel for crystal damage is 1 day, and the remaining storage time threshold here is greater than 1 day.

In this embodiment, the preferred method for taking values of the proportion coefficient of the ith characteristic data type, the proportion coefficient of the jth environmental data type, and the characteristic change abnormality threshold is as follows: obtain the characteristic change data of 5000 groups of gallium oxide crystals during the storage process and the environmental change data during the storage process, obtain the storage failure time, substitute it into the characteristic change abnormality value calculation formula at the future time tr to calculate the remaining storage time, substitute the obtained storage failure time and the remaining storage time into the fitting software to output the proportion coefficient of the ith characteristic data type, the proportion coefficient of the jth environmental data type, and the characteristic change abnormality threshold that meet the highest time judgment accuracy.

In this embodiment, the advantages of this embodiment over the prior art are as follows: characteristic change data of the gallium oxide crystals during the storage process of the gallium oxide crystals and environmental change data during the storage process are obtained, the characteristic change data of the gallium oxide crystals obtained are imported into the characteristic change abnormality analysis strategy for characteristic change abnormality analysis, the environmental change data obtained during the storage process are imported into the environmental change abnormality analysis strategy for environmental change abnormality analysis, the obtained characteristic change abnormality analysis results and the environmental change abnormality analysis results are analyzed for the remaining storage time, the analyzed remaining storage time is compared with the set remaining storage time threshold, and a crystal storage environment early warning is performed, and the storage time of the gallium oxide crystals is accurately estimated by performing change abnormality analysis on the characteristic change data of the gallium oxide crystals during the storage process and integrating the environmental change analysis results, thereby improving the storage safety of the gallium oxide crystals.

Example 2

As shown in FIG3 , the gallium oxide crystal storage environment monitoring system based on artificial intelligence is implemented based on the above-mentioned gallium oxide crystal storage environment monitoring method based on artificial intelligence, and specifically includes a data acquisition module, a characteristic change abnormality analysis module, an environmental change abnormality analysis module, a remaining storage time analysis module and a storage environment early warning module;

The data acquisition module is used to acquire characteristic change data of the gallium oxide crystals during the storage process of the gallium oxide crystals and environmental change data during the storage process;

A characteristic change anomaly analysis module is used to import the acquired characteristic change data of the gallium oxide crystal into the characteristic change anomaly analysis strategy to perform characteristic change anomaly analysis;

An environmental change anomaly analysis module is used to import the environmental change data obtained during the storage process into the environmental change anomaly analysis strategy to perform environmental change anomaly analysis;

The remaining storage time analysis module is used to analyze the remaining storage time of the acquired characteristic change abnormal analysis results and environmental change abnormal analysis results;

The storage environment early warning module is used to compare the remaining storage time obtained by analysis with the set remaining storage time threshold to issue a crystal storage environment early warning;

It may also include a control module for controlling the operation of the data acquisition module, the characteristic change abnormality analysis module, the environmental change abnormality analysis module, the remaining storage time analysis module and the storage environment early warning module.

Example 3

This embodiment provides an electronic device, including: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;

The processor executes the above-mentioned gallium oxide crystal storage environment monitoring method based on artificial intelligence by calling the computer program stored in the memory.

The electronic device may have relatively large differences due to different configurations or performances, and may include one or more processors and one or more memories, wherein the memory stores at least one computer program, which is loaded and executed by the processor to implement the artificial intelligence-based gallium oxide crystal storage environment monitoring method provided in the above method embodiment. The electronic device may also include other components for implementing the functions of the device, for example, the electronic device may also have components such as a wired or wireless network interface and an input/output interface to input and output data. This embodiment will not be described in detail here.

Example 4

This embodiment provides a computer-readable storage medium having a rewritable computer program stored thereon;

When the computer program runs on a computer device, the computer device executes the above-mentioned gallium oxide crystal storage environment monitoring method based on artificial intelligence.

For example, the computer readable storage medium can be a read-only memory, a random access memory, a read-only CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When a computer instruction or computer program is loaded or executed on a computer, a process or function according to an embodiment of the present invention is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network or other programmable device. Computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center through a wired network or/and a wireless network. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a tape), an optical medium (for example, a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

Claims (9)

1. A method for monitoring the storage environment of gallium oxide crystals based on artificial intelligence, characterized in that it comprises the following specific steps: Acquiring characteristic change data of the gallium oxide crystals during the storage of the gallium oxide crystals and environmental change data during the storage; Importing the acquired characteristic change data of the gallium oxide crystal into the characteristic change abnormality analysis strategy to perform characteristic change abnormality analysis; Importing the acquired environmental change data in the storage process into the environmental change anomaly analysis strategy to perform environmental change anomaly analysis; Performing a remaining storage time analysis on the obtained characteristic change abnormality analysis results and environmental change abnormality analysis results; The remaining storage time obtained by analysis is compared with the set remaining storage time threshold to issue a crystal storage environment warning. 2. The method for monitoring the storage environment of gallium oxide crystals based on artificial intelligence according to claim 1, characterized in that the step of importing the acquired characteristic change data of the gallium oxide crystals into the characteristic change abnormality analysis strategy for characteristic change abnormality analysis comprises the following specific steps: The characteristic data of the gallium oxide crystal at the sampling time is obtained, and the characteristic data of the gallium oxide crystal at the sampling time is introduced into the characteristic change abnormal value calculation formula to calculate the characteristic change abnormal value, wherein the characteristic change abnormal value calculation formula is: , where n is the characteristic data type, ai is the proportion coefficient of the i-th characteristic data type, ki is the detection data of the i-th characteristic data type at the sampling time, kim is the median value of the safety range of the i-th characteristic data type, kimax is the maximum value of the safety range of the i-th characteristic data type, and kimin is the minimum value of the safety range of the i-th characteristic data type; The characteristic change abnormal value at the current sampling moment and the characteristic change abnormal value at the previous sampling moment are obtained and introduced into the characteristic change abnormal speed calculation formula to calculate the characteristic change abnormal speed, wherein the characteristic change abnormal speed calculation formula is: , where T is the duration from the current sampling moment to the previous sampling moment, Xtk is the abnormal value of the characteristic change at the current sampling moment, and Xt(k-1) is the abnormal value of the characteristic change at the previous sampling moment. 3. The method for monitoring the storage environment of gallium oxide crystals based on artificial intelligence according to claim 2, characterized in that the step of importing the acquired environmental change data during the storage process into the environmental change anomaly analysis strategy for environmental change anomaly analysis comprises the following specific steps: The environmental change data in the storage process of the cycle corresponding to the sampling time is obtained, and the obtained environmental change data is imported into the environmental change abnormal value calculation formula to calculate the environmental change abnormal value, wherein the environmental change abnormal value calculation formula is: , where T is the cycle duration corresponding to the sampling moment, bj is the proportion coefficient of the j-th environmental data type, dt is the time integral, zjt is the value of the j-th environmental data type at time t in the cycle, zjm is the median value of the safety range of the j-th environmental data type, zjmax is the maximum value of the safety range of the j-th environmental data type, and zjmin is the minimum value of the safety range of the j-th environmental data type; The obtained abnormal environmental change value of the period corresponding to the current sampling moment and the abnormal environmental change value of the period corresponding to the previous sampling moment are introduced into the abnormal environmental change speed calculation formula to calculate the abnormal environmental change speed, wherein the abnormal environmental change speed calculation formula is: ,in, is the abnormal value of the environmental change in the period corresponding to this sampling moment, It is the abnormal value of environmental change in the period corresponding to the last sampling moment. 4. The method for monitoring the storage environment of gallium oxide crystals based on artificial intelligence according to claim 3, characterized in that the remaining storage time analysis of the obtained characteristic change abnormal analysis results and environmental change abnormal analysis results comprises the following specific contents: S41, obtain the calculated characteristic change abnormal value and characteristic change abnormal speed of the current sampling period, and import them into the calculation formula of the preliminary characteristic change abnormal value at the future moment to calculate the preliminary characteristic change abnormal value, wherein the calculation formula of the preliminary characteristic change abnormal value at the future moment tr is: , where tr is the duration; S42, obtain the calculated abnormal value of environmental change and the abnormal change speed of environmental change, and import them into the calculation formula of abnormal value of environmental impact change at the future moment to calculate the abnormal value of environmental impact change at the future moment, wherein the calculation formula of abnormal value of environmental impact change at the future moment tr is: ; S43, substituting the calculated preliminary characteristic change abnormal value at the future time tr and the environmental impact change abnormal value at the future time tr into the characteristic change abnormal value calculation formula at the future time tr to calculate the characteristic change abnormal value at the future time tr, wherein the characteristic change abnormal value calculation formula at the future time tr is: , where exp() is the power of the natural constant e; S44. Obtain the calculated characteristic change abnormality value at the future tr moment and compare it with the set characteristic change abnormality threshold. If the characteristic change abnormality value at the future tr moment is greater than or equal to the set characteristic change abnormality threshold, set the corresponding moment as the selected moment, and set the minimum time from the selected moment to the current moment as the remaining storage time. 5. The method for monitoring the storage environment of gallium oxide crystals based on artificial intelligence as described in claim 4 is characterized in that the specific content of comparing the remaining storage time obtained by analysis with the set remaining storage time threshold and performing crystal storage environment warning is: obtaining the remaining storage time and comparing it with the set remaining storage time threshold. If the remaining storage time is less than or equal to the set remaining storage time threshold, a crystal storage environment warning is performed; if the remaining storage time is greater than the set remaining storage time threshold, no crystal storage environment warning is performed. 6. The method for monitoring the storage environment of gallium oxide crystals based on artificial intelligence according to claim 5, characterized in that the specific steps of obtaining the characteristic change data of the gallium oxide crystals during the storage process of the gallium oxide crystals and the environmental change data during the storage process are: regularly sampling to obtain the characteristic change data of the gallium oxide crystals during the storage process of the gallium oxide crystals, wherein the characteristic change data includes conductivity change data, carrier concentration change data and mobility change data, and is stored in the first storage component; Environmental change data during the storage of the gallium oxide crystals is obtained, the environmental change data including temperature change data and humidity change data, and stored in the second storage component. 7. An artificial intelligence-based gallium oxide crystal storage environment monitoring system, which is implemented based on the artificial intelligence-based gallium oxide crystal storage environment monitoring method according to any one of claims 1 to 6, characterized in that it specifically includes a data acquisition module, a characteristic change abnormality analysis module, an environmental change abnormality analysis module, a remaining storage time analysis module and a storage environment early warning module; Wherein, the data acquisition module is used to acquire characteristic change data of the gallium oxide crystals during the storage process of the gallium oxide crystals and environmental change data during the storage process; The characteristic change abnormality analysis module is used to import the acquired characteristic change data of the gallium oxide crystal into the characteristic change abnormality analysis strategy to perform characteristic change abnormality analysis; The environmental change anomaly analysis module is used to import the environmental change data obtained during the storage process into the environmental change anomaly analysis strategy to perform environmental change anomaly analysis; The remaining storage time analysis module is used to perform remaining storage time analysis on the acquired characteristic change abnormality analysis results and environmental change abnormality analysis results; The storage environment early warning module is used to compare the remaining storage time obtained by analysis with a set remaining storage time threshold to issue a crystal storage environment early warning. 8. An electronic device, comprising: a processor and a memory, wherein the memory stores a computer program that can be called by the processor; It is characterized in that the processor executes the gallium oxide crystal storage environment monitoring method based on artificial intelligence as described in any one of claims 1 to 6 by calling the computer program stored in the memory. 9. A computer-readable storage medium, characterized in that it stores instructions, and when the instructions are executed on a computer, the computer executes the method for monitoring the storage environment of gallium oxide crystals based on artificial intelligence according to any one of claims 1 to 6.