Recording method based on laboratory equipment state

Abstract

The invention discloses a recording method based on a laboratory equipment state, and relates to the technical field of laboratory equipment, and the method comprises the following steps: entering a data collection end for verifying and recording the identity of a user through integrating a face recognition module at an equipment end; a face recognition module in the data acquisition end can accurately verify the identity of a person, automatically acquire an operation log and core parameter values and use time of equipment and provide a multi-dimensional data basis, and in the anomaly detection end, an average value of the automatically acquired core parameter values of the equipment is calculated, and meanwhile, the average value is compared with a time threshold value, so that the anomaly detection accuracy is improved. The accuracy and reliability of anomaly detection are improved by combining graded early warning of a duration threshold, firstly triggering common early warning and then judging a fault through the duration, if the equipment fault is judged, the equipment fault is pushed to a maintenance personnel terminal through a 5G module in time, a fault report is automatically generated and encrypted, leakage in data storage is prevented, and the fault detection efficiency is improved. And data security is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of laboratory equipment, and particularly relates to a recording method based on the status of laboratory equipment. Background Art

[0002] Laboratories play a core role in scenarios such as scientific research innovation, teaching practice, and industrial quality inspection. Equipment such as centrifuges, ovens, constant temperature incubators, stirrers, and shakers are the core carriers to ensure the smooth progress of experiments. The operating status of these equipment plays a decisive role in experimental results. For example, the temperature fluctuation of a constant temperature incubator will directly interfere with the growth cycle of microorganisms, and the rotational speed deviation of a centrifuge may lead to incomplete sample separation, affecting subsequent analysis.

[0003] Currently, in the prior art, the recording of laboratory equipment status relies on manual operations. Experimental personnel need to manually fill in information such as equipment usage time and operating parameters, which is not only time-consuming and laborious, but also prone to recording errors and omissions due to human negligence, and lacks real-time monitoring capabilities, unable to dynamically capture parameter changes during equipment operation. When experimental results are abnormal, it is difficult to accurately trace whether the equipment status is compliant. At the same time, when existing laboratory equipment is repaired, a regular repair method is usually adopted, which is prone to over-repair or untimely repair. For example, if the interval is too short, it will increase the repair cost and downtime, affecting the equipment usage efficiency, while if the interval is too long, the equipment cannot be repaired in time when potential problems occur, leading to more serious failures.

[0004] Therefore, a recording method based on the status of laboratory equipment is proposed to solve the above problems. Summary of the Invention

[0005] The main purpose of the present invention is to provide a recording method based on the status of laboratory equipment to solve the problems raised in the above background.

[0006] To achieve the above purpose, the technical solution adopted by the present invention is: a recording method based on the status of laboratory equipment, including the following steps: Step 1: Enter the data acquisition end, which is used to authenticate and record the identity of the user through the integration of a face recognition module at the equipment end, embed a log module to collect user operation logs, and assemble Internet of Things sensors to collect the core parameter values and usage time during equipment usage in real time; Step 2: Enter the anomaly detection end, calculate the average value based on the core parameter values during the usage process, and compare the average value with the set parameter threshold. If it exceeds the set parameter threshold, an early warning is given. If it continuously exceeds the set parameter threshold for 5s, a fault warning is given, the equipment is stopped in time, and it is pushed to the maintenance personnel terminal through the 5G module; Step 3: Enter the exception record terminal to automatically generate a fault record based on the collected information, encrypt the fault record, set access permissions, and then transmit it to the edge device for storage and recording; Step 4: Enter the device maintenance terminal to calculate the cumulative usage time of the device based on the usage time of the device terminal, and compare it with the set maintenance time threshold. If it exceeds the time threshold, push the maintenance information to the repair personnel terminal through the 5G module. If it does not exceed the time threshold, it is used normally; Step 5: Enter the maintenance collaboration terminal to feedback the maintenance operation data through the terminal web page after the repair by the repair personnel, and transmit it to the edge device for storage and encryption after verification.

[0007] Furthermore, the data acquisition terminal includes a personnel identification unit, a log unit, and a parameter unit; The personnel identification unit is used to record and verify the identities of administrators, users, and repair personnel through the personnel identification module, and at the same time classify the permissions of administrators, users, and repair personnel, that is, the administrator has the highest permission, the user has the lowest permission, and the repair personnel has the medium permission; The log unit is used to collect user operation logs through the log module, and the operation logs include device start / stop, function call, and parameter modification; The parameter unit is used to collect the core parameter values and usage time of the device terminal by the Internet of Things sensor. The core parameter values include at least one of voltage value, temperature value, current value, rotation value, and humidity value. The Internet of Things sensor includes at least one of voltage sensor, temperature sensor, current sensor, rotation sensor, and humidity sensor.

[0008] Furthermore, the exception detection terminal includes an averaging unit and a parameter comparison unit; The averaging unit is used to receive the core parameter values during use for average calculation to obtain the voltage average value. The calculation steps are as follows: S1: Let the sequence of collected device core parameter values be ; S2: The average calculation formula for the core parameter values is as follows: ; Among them, represents the average value of the core parameter values, represents the number of collected core parameter values, represents the collected device core parameter values.

[0009] Furthermore, the comparison unit is used to compare the average value of the calculated core parameter values with the set parameter threshold. The parameter threshold is set to 5, that is when it is greater than 5, a warning is issued. If When it is greater than 5 and lasts for 5 s, a fault warning is given, the device is stopped in time, and it is pushed to the maintenance personnel terminal through the 5G module.

[0010] Furthermore, the abnormal record terminal includes a generating unit and an encrypting unit; The generating unit generates a fault report through Python based on the operation log, the core parameter value, and the usage time; The encrypting unit is used to encrypt the fault report through AES and then transmit it to the edge device for storage.

[0011] Furthermore, the device maintenance terminal includes a maintenance calculation unit and a time comparison unit.

[0012] Furthermore, the maintenance calculation unit is used to calculate the cumulative usage time of the device end, and the calculation formula is as follows: ; Where T represents the cumulative usage time, represents the th usage time of the device, is the total number of times the device is used.

[0013] Furthermore, the time comparison unit compares the cumulative usage time with the set time threshold. The set time threshold is 400 h. If T is greater than 400 h, the maintenance information is pushed to the maintenance personnel terminal through the 5G module. If T is less than or equal to 400 h, it operates normally.

[0014] Furthermore, the maintenance collaboration terminal includes a submission unit, a proofreading unit, and a storage unit.

[0015] Furthermore, the submission unit is used to enter the details of the maintenance operation through the web page, such as the fault description, the repair steps, the replaced parts, and the time-consuming data; The proofreading unit is used to verify the integrity of the feedback maintenance operation data in real time through the cloud server. If the feedback maintenance operation data is incomplete, a prompt is returned to the maintenance personnel for correction until the verification passes. If the feedback maintenance operation data is complete, it enters the storage unit; The output unit is used to store and encrypt the feedback maintenance operation data through the edge device.

[0016] The present invention has the following beneficial effects: 1. In the present invention, in the data acquisition terminal, the face recognition module can accurately verify the identity of personnel, and automatically collect operation logs, core parameter values of the device, and usage time, providing a multi-dimensional data basis. In the anomaly detection terminal, by calculating the average value of the automatically collected core parameter values of the device, comparing the average value with the time threshold, and combining the duration threshold for hierarchical early warning, the general early warning is triggered first, and then the fault is determined through the duration, improving the accuracy and reliability of anomaly detection. If it is determined that the device has a fault, it is timely pushed to the maintenance personnel terminal through the 5G module, and a fault report is automatically generated by Python to realize the structured integration of fault information, improve the recording efficiency and standardization. Then, the fault record is encrypted using AES to prevent data leakage during storage and ensure data security.

[0017] 2. In the present invention, in the device maintenance terminal, by accumulating the usage time of the device and comparing it with the time threshold, when the set time threshold is exceeded, maintenance is triggered, and the maintenance information is timely pushed to the maintenance personnel terminal. If the set threshold is not exceeded, it is used normally. Active intervention in maintenance is carried out before the high-fault stage to avoid damage to the device caused by overuse, reduce the impact of sudden faults on the experiment. At the same time, the maintenance information is automatically pushed to realize the automation of the maintenance process. The maintenance personnel can timely obtain the maintenance task and respond, shortening the waiting time of the device for maintenance and improving the overall management efficiency of the laboratory.

[0018] 3. In the present invention, in the maintenance collaboration terminal, after the maintenance personnel complete the maintenance, they enter the details of the maintenance operation through the web page to comprehensively record the maintenance process, avoiding omission of key data, and accumulating accurate data for the device maintenance file. At the same time, the cloud server is used to real-time verify the data integrity. If the information is missing or incomplete, it is forced to return for correction to ensure the authenticity and standardization of the finally stored maintenance data, improving the data credibility. And the maintenance data is encrypted and stored in the edge device to prevent data leakage. Thus, when the device status has problems again later, the maintenance record can be traced back to accurately analyze whether it is an omission in the previous maintenance or a newly generated fault, clarify the responsible entity, and provide a basis for improving the maintenance process or holding someone accountable. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 is the method flow chart of a recording method based on the status of laboratory equipment according to the present invention; Figure 2 is the overall framework flow chart of a recording method based on the status of laboratory equipment according to the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0020] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0021] Embodiment 1 Please refer to Figure 1 and Figure 2 , the present invention provides a technical solution: a recording method based on the status of laboratory equipment, including the following steps: Step 1: Enter the data acquisition end, which is used to authenticate and record the identity of the user through the integrated face recognition module on the device side, embed the log module to collect user operation logs, and assemble Internet of Things sensors to collect the core parameter values and usage time during the use of the device side in real time; Step 2: Enter the anomaly detection end, calculate the average value based on the core parameter values during the use process, and compare the average value with the set parameter threshold. If it exceeds the set parameter threshold, a warning will be issued. If it continuously exceeds the set parameter threshold for 5s, a fault warning will be issued, the device will be stopped in time, and it will be pushed to the maintenance personnel terminal through the 5G module; Step 3: Enter the anomaly recording end, automatically generate a fault record based on the collected information, encrypt the fault record, set access permissions, and then transmit it to the edge device for storage and recording.

[0022] Step 4: Enter the device maintenance end, calculate the cumulative usage time of the device side based on the usage time of the device side, and compare it with the set maintenance time threshold. If it exceeds the time threshold, the maintenance information will be pushed to the maintenance personnel terminal through the 5G module. If it does not exceed the time threshold, it will be used normally; Step 5: Enter the maintenance collaboration end, which is used to feedback the maintenance operation data through the terminal web page after the maintenance by the maintenance personnel, and transmit it to the edge device for storage and encryption after verification.

[0023] The data acquisition end includes a personnel identification unit, a log unit, and a parameter unit; The personnel identification unit is used to enter and verify the identities of administrators, users, and maintenance personnel through the personnel identification module, and at the same time classify the permissions of administrators, users, and maintenance personnel, that is, the administrator has the highest permission, the user has the lowest permission, and the maintenance personnel has the medium permission; Specifically, the highest authority can view and process all device status records and add or delete user accounts. The medium authority can only view device repair records related to the current repair and is prohibited from accessing device data unrelated to the repair. The lowest authority can only view the operation logs and usage time of the devices used personally.

[0024] The log unit is used to collect user operation logs through the log module. The operation logs include device startup and shutdown, function calls, and parameter modifications. The parameter unit is used for the Internet of Things sensors to collect the core parameter values and usage time during the use of the device end. The core parameter values include at least one of voltage value, temperature value, current value, rotation value, and humidity value. The Internet of Things sensors include at least one of voltage sensor, temperature sensor, current sensor, rotation sensor, and humidity sensor.

[0025] Specifically, for the convenience of understanding, an exemplary illustration is given. Assume that the device end is a centrifuge. Then, a rotation sensor is integrated on the centrifuge to collect the rotation value parameters of the centrifuge in real time during use for subsequent abnormal detection of the centrifuge. If the device is an incubator, the temperature value parameters of the incubator during use will be collected in real time through a temperature sensor for subsequent abnormal detection of the incubator.

[0026] The abnormal detection end includes an averaging unit and a parameter comparison unit. The averaging unit is used to receive the core parameter values during use for average calculation to obtain the average voltage value. The calculation steps are as follows: S1: Let the sequence of collected device core parameter values be ; S2: The average calculation formula for the core parameter values is as follows: ; Among them, represents the average value of the core parameter values, represents the number of collected core parameter values, represents the collected device core parameter values.

[0027] The comparison unit is used to compare the average value of the calculated core parameter values with the set parameter threshold. The parameter threshold is set to 5, that is When it is greater than 5, a warning is given. If is greater than 5 and lasts for 5s, a fault warning is given, the device is stopped in time, and it is pushed to the maintenance personnel terminal through the 5G module.

[0028] Specifically, for example, the parameter threshold of the constant temperature incubator is set during the equipment R & D stage. According to the internal structure and material tolerance, the maximum allowable value for the safe operation of the core parameter is set to 5. Exceeding this value may affect the equipment performance or cause damage. After long-term monitoring of the equipment operation, statistical analysis shows that when the parameter exceeds 5 and lasts for 5 seconds, the equipment failure rate increases significantly. Therefore, 5 and lasting for 5s are used as the risk critical values.

[0029] The exception recording terminal includes a generating unit and an encrypting unit; The generating unit generates a fault report through Python based on the operation log, the core parameter value, and the usage time; The encrypting unit is used to encrypt the fault report through AES and then transmit it to the edge device for storage.

[0030] In this embodiment, the face recognition module in the data acquisition terminal can accurately verify the personnel identity, realize precise management of personnel identity, avoid unauthorized access, and automatically collect the operation log, the core parameter value of the device, and the usage time, providing a multi-dimensional data basis for subsequent exception detection and maintenance analysis. In the exception detection terminal, by calculating the average value of the automatically collected core parameter values of the device, filtering instantaneous interference data, and restoring the true change trend of the device parameters, it is possible to avoid misjudging the device status due to single fluctuations. At the same time, by comparing the average value with the time threshold and combining with the duration threshold for hierarchical early warning, first trigger a general early warning, and then determine the fault through the duration, which not only responds to risks in a timely manner but also reduces unnecessary equipment downtime, improving the accuracy and reliability of exception detection. If it is determined that the device is faulty, it is timely pushed to the maintenance personnel terminal through the 5G module, and based on the operation log, parameter value, and usage time, a fault report is automatically generated through Python to realize the structured integration of fault information, improve the recording efficiency and standardization, and then use AES to encrypt the fault record and store it in the edge device to prevent data leakage during storage and ensure data security, providing standardized data for subsequent analysis.

[0031] Embodiment 2 Please refer to Figure 1 and Figure 2 The present invention provides a technical solution: A recording method based on the status of laboratory equipment, including the following steps: Step 1: Enter the data acquisition terminal, which is used to authenticate and record the identity of the user through integrating a face recognition module at the equipment end, embed a log module to collect the user operation log, and assemble an IoT sensor to collect the core parameter value and usage time during the use of the equipment end in real time; Step 2: Enter the anomaly detection terminal to calculate the average value based on the core parameter values during use, and compare the average value with the set parameter threshold. If it exceeds the set parameter threshold, a warning will be issued. If it continuously exceeds the set parameter threshold for 5 seconds, a fault warning will be issued, the device will be stopped in a timely manner, and it will be pushed to the maintenance personnel terminal through the 5G module; Step 3: Enter the anomaly recording terminal to automatically generate a fault record based on the collected information, encrypt the fault record, set access permissions, and then transmit it to the edge device for storage and recording.

[0032] Step 4: Enter the device maintenance terminal to calculate the cumulative usage time of the device based on the usage time of the device terminal, and compare it with the set maintenance time threshold. If it exceeds the time threshold, the maintenance information will be pushed to the maintenance personnel terminal through the 5G module. If it does not exceed the time threshold, it will be used normally; Step 5: Enter the maintenance collaboration terminal to feedback the maintenance operation data through the terminal web page after the maintenance by the maintenance personnel, and transmit it to the edge device for storage and encryption after verification.

[0033] The device maintenance terminal includes a maintenance calculation unit and a time comparison unit.

[0034] The maintenance calculation unit is used to calculate the cumulative usage time of the device terminal, and the calculation formula is as follows: ; where, T represents the cumulative usage time, represents the th usage time of the device, is the total number of times the device is used.

[0035] The time comparison unit compares the cumulative usage time with the set time threshold. The set time threshold is 400h. If T is greater than 400h, the maintenance information will be pushed to the maintenance personnel terminal through the 5G module. If T is less than or equal to 400h, it will run normally.

[0036] Specifically, for example, the setting of the time threshold for the constant temperature incubator is based on the long-term record of the relationship between the device usage time and the occurrence of faults in the laboratory. It is statistically found that after the constant temperature incubator is used for more than 400 hours, the probability of temperature control deviation faults increases significantly. Therefore, 400 hours is used as the time threshold.

[0037] In this embodiment, in the device maintenance terminal, by accumulating the usage time of the device and comparing it with the time threshold, when the set time threshold is exceeded, maintenance is triggered, and the maintenance information is promptly pushed to the repair personnel terminal. If the set threshold is not exceeded, the device is used normally. Active intervention in maintenance is carried out before the high-failure stage to prevent the device from being damaged due to overuse and reduce the impact of sudden failures on the experiment. At the same time, the maintenance information is automatically pushed to realize the automation of the maintenance process. The repair personnel can obtain the maintenance tasks in a timely manner and respond, shortening the waiting time for device maintenance and improving the overall management efficiency of the laboratory.

[0038] Embodiment Three Please refer to Figure 1 and Figure 2 , the present invention provides a technical solution: a recording method based on the status of laboratory equipment, including the following steps: Step 1: Enter the data acquisition terminal, which is used to authenticate and record the identity of the user through the integration of a face recognition module at the device end, embed a log module to collect user operation logs, and install Internet of Things sensors to collect the core parameter values and usage time during the use of the device end in real time; Step 2: Enter the anomaly detection terminal, calculate the average value based on the core parameter values during the use process, and compare the average value with the set parameter threshold. If the set parameter threshold is exceeded, an alarm is issued. If the set parameter threshold is continuously exceeded for 5s, a fault alarm is issued, the device is stopped in a timely manner, and it is pushed to the repair personnel terminal through the 5G module; Step 3: Enter the anomaly recording terminal, automatically generate a fault record based on the collected information, encrypt the fault record, set access permissions, and then transmit it to the edge device for storage and recording.

[0039] Step 4: Enter the device maintenance terminal, calculate the cumulative usage time of the device end based on the usage time of the device end, and compare it with the set maintenance time threshold. If the time threshold is exceeded, the maintenance information is pushed to the repair personnel terminal through the 5G module. If the time threshold is not exceeded, the device is used normally; Step 5: Enter the maintenance collaboration terminal, which is used to, after the repair personnel complete the repair, feedback the maintenance operation data through the terminal web page, and after verification, transmit it to the edge device for storage and encryption. The maintenance collaboration terminal includes a submission unit, a verification unit, and a storage unit.

[0040] The submission unit is used to enter the details of the maintenance operation through the web page, such as fault description, repair steps, replaced parts, and time-consuming data; The verification unit is used to verify the integrity of the feedback maintenance operation data in real time through the cloud server. If the feedback maintenance operation data is incomplete, a prompt is returned to the repair personnel for correction until the verification passes. If the feedback maintenance operation data is complete, it enters the storage unit; The output unit is used to store and encrypt the feedback maintenance operation data through the edge device.

[0041] In this embodiment, after the maintenance is completed by the maintenance personnel, the maintenance collaboration end inputs the details of the maintenance operation through the web page to comprehensively record the maintenance process, avoiding the omission of key data, accumulating accurate data for the equipment maintenance file, and at the same time using the cloud server to verify the data integrity in real time. If the information is missing or incomplete, it will be forced to return for correction to ensure the authenticity and standardization of the finally stored maintenance data, improve the data credibility, and encrypt the maintenance data and store it in the edge device to prevent data leakage. Therefore, when the equipment status has problems again later, the maintenance record can be traced back to accurately analyze whether it is an omission in the previous maintenance or a newly generated fault, clarify the responsible entity, and provide a basis for improving the maintenance process or holding someone accountable.

[0042] In the present invention, a recording method based on the status of laboratory equipment. In the data acquisition end, the face recognition module can accurately verify the identity of personnel, realize precise management of personnel identity, avoid unauthorized access, and automatically collect operation logs, core parameter values of the equipment, and usage time, providing a multi-dimensional data basis for subsequent anomaly detection and maintenance analysis. In the anomaly detection end, by calculating the average value of the automatically collected core parameter values of the equipment, filtering instantaneous interference data, and restoring the true change trend of the equipment parameters, it avoids misjudging the equipment status due to single fluctuations. At the same time, by comparing the average value with the time threshold and combining the duration threshold for hierarchical early warning, it first triggers a general early warning, and then determines the fault through the duration, which not only responds to risks in a timely manner but also reduces the equipment's false shutdown, improving the accuracy and reliability of anomaly detection. If it is determined that the equipment is faulty, it is timely pushed to the maintenance personnel terminal through the 5G module, and based on the operation log, parameter value, and usage time, a fault report is automatically generated through Python to realize the structured integration of fault information, improve the recording efficiency and standardization, and then use AES to encrypt the fault record and store it in the edge device to prevent data leakage during storage and ensure data security, providing standardized data for subsequent analysis; In the equipment maintenance end, by accumulating the usage time of the equipment and comparing it with the time threshold, when it exceeds the set time threshold, maintenance is triggered, and the maintenance information is timely pushed to the maintenance personnel terminal. If it does not exceed the set threshold, it is used normally, actively intervening in maintenance before the high-fault stage to avoid equipment damage caused by overuse and reduce the impact of sudden failures on the experiment. At the same time, automatically pushing the maintenance information realizes the automation of the maintenance process. The maintenance personnel can obtain the maintenance task in a timely manner and respond, shortening the waiting time for equipment maintenance and improving the overall management efficiency of the laboratory; After the maintenance personnel complete the maintenance, the maintenance collaboration terminal enters the details of the maintenance operation through the web page, comprehensively records the maintenance process, avoids missing key data, accumulates accurate information for the equipment maintenance file, and at the same time uses the cloud server to verify the data integrity in real time. If the information is missing or incomplete, it will be forced to return for correction to ensure the authenticity and standardization of the finally stored maintenance data, improve the data credibility, and encrypt the maintenance data and store it in the edge device to prevent data leakage. Therefore, when problems occur again in the subsequent equipment status, the maintenance records can be traced back to accurately analyze whether it is an omission in the previous maintenance or a newly generated fault, clarify the responsible entity, and provide a basis for improving the maintenance process or holding someone accountable.

[0043] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or device.

[0044] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.

Claims

1. A recording method based on laboratory equipment status, characterized in that: The following steps are involved: Step 1: Enter the data collection end to integrate the face recognition module on the device end to authenticate and record the user's identity, embed the log module to collect user operation logs, and assemble the IoT sensor to collect the core parameter values ​​and usage time of the device end in real time; Step 2: Enter the anomaly detection terminal to calculate the average value based on the core parameter values ​​during use, and compare the average value with the set parameter threshold. If it exceeds the set parameter threshold, an early warning will be issued. If it continues to exceed the set parameter threshold for 5s, a fault early warning will be issued, the device will be stopped in time, and the information will be pushed to the maintenance personnel terminal through the 5G module; Step 3: Enter the abnormal record terminal to automatically generate fault records based on the collected information, encrypt the fault records, set access rights, and then transmit them to the edge device for storage and recording; Step 4: Enter the equipment maintenance terminal to calculate the cumulative usage time of the equipment based on the equipment usage time, and compare it with the set maintenance time threshold. If the time threshold is exceeded, the maintenance information is pushed to the maintenance personnel terminal through the 5G module. If the time threshold is not exceeded, it is used normally; Step 5: Enter the maintenance collaboration terminal to feedback the maintenance operation data through the terminal web page after maintenance by maintenance personnel, and transmit it to the edge device for storage and encryption after proofreading.

2. A recording method based on laboratory equipment status according to claim 1, characterized in that: The data collection end includes a personnel identification unit, a log unit and a parameter unit; The personnel identification unit is used to input and verify the identities of administrators, users and maintenance personnel through the personnel identification module, and classify the permissions of administrators, users and maintenance personnel, that is, administrators have the highest permissions, users have the lowest permissions, and maintenance personnel have medium permissions; The log unit is used to collect user operation logs through the log module, and the operation logs include device start and stop, function call and parameter modification; The parameter unit is used for the IoT sensor to collect the core parameter value and usage time of the device end when in use, the core parameter value includes at least one of voltage value, temperature value, current value, rotation value and humidity value, and the IoT sensor includes at least one of voltage sensor, temperature sensor, current sensor, rotation sensor and humidity sensor.

3. A recording method based on laboratory equipment status according to claim 2, characterized in that: The anomaly detection end includes an averaging unit and a parameter comparison unit; The averaging unit is used to receive the core parameter value during use and perform average calculation to obtain the voltage average value. The calculation steps are as follows: S1: Assume that the sequence of collected device core parameter values ​​is ; S2: The average calculation formula for core parameter values ​​is as follows: ； in, Represents the average value of the core parameter, Represents the number of core parameter values ​​collected, Indicates the collected device core parameter value.

4. A recording method based on laboratory equipment status according to claim 2, characterized in that: The comparison unit is used to compare the average value of the calculated core parameter value with the set parameter threshold, and the parameter threshold is set to 5, that is, If it is greater than 5, an early warning will be issued. When it is greater than 5 and lasts for 5s, a fault warning is issued, the equipment is stopped in time, and the information is pushed to the maintenance personnel terminal through the 5G module.

5. A recording method based on laboratory equipment status according to claim 1, characterized in that: The abnormal recording end includes a generating unit and an encrypting unit; The generating unit generates a fault report through Python based on the operation log, the core parameter value and the usage time; The encryption unit is used to encrypt the fault report through AES and transmit it to the edge device for storage.

6. A recording method based on laboratory equipment status according to claim 1, characterized in that: The equipment maintenance terminal includes a maintenance calculation unit and a time comparison unit.

7. A recording method based on laboratory equipment status according to claim 6, characterized in that: The maintenance calculation unit is used to calculate the cumulative usage time of the device end, and the calculation formula is as follows: ； Among them, T represents the cumulative usage time, Representative equipment Use time, The total number of times the device has been used.

8. A recording method based on laboratory equipment status according to claim 6, characterized in that: The time comparison unit compares the accumulated usage time with the set time threshold, and the set time threshold is 400h. If T is greater than 400h, the maintenance information is pushed to the maintenance personnel terminal through the 5G module. If T is less than or equal to 400h, it operates normally.

9. A recording method based on laboratory equipment status according to claim 1, characterized in that: The maintenance coordination terminal includes a submission unit, a proofreading unit and a storage unit.

10. A recording method based on laboratory equipment status according to claim 9, characterized in that: The submitting unit is used to input maintenance operation details through a web page, wherein the maintenance operation includes fault description, maintenance steps, replacement parts and time consumption data; The proofreading unit is used to verify the integrity of the feedback maintenance operation data in real time through the cloud server. If the feedback maintenance operation data is incomplete, it returns a prompt to the maintenance personnel to correct it until the verification passes. If the feedback maintenance operation data is complete, it enters the storage unit; The output unit is used to store and encrypt the feedback maintenance operation data through the edge device.

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