CN115719203A - Intelligent metering laboratory management system based on AIOT technology and method thereof - Google Patents
Intelligent metering laboratory management system based on AIOT technology and method thereof Download PDFInfo
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Abstract
The invention discloses an AIOT technology-based intelligent metering laboratory management system and method, wherein the AIOT technology-based intelligent metering laboratory management system comprises environmental data acquisition equipment and a laboratory management system, and the problems of high labor cost and low operation efficiency of a metering laboratory due to the lack of autonomous intelligent judgment and complex operation process of the system are solved. In order to realize the intelligent autonomous operation of the verification operation of the metering laboratory, improve the execution quality and efficiency of the verification task of the metering laboratory, improve the accuracy and compliance of verification results, realize the automatic association of the verification operation and the task, the whole-course intelligent guidance of the operation, the active quality supervision of the operation and the accuracy traceability of the verification results, the intelligent metering laboratory management system based on the AIoT technology and the method thereof are provided.
Description
Technical Field
The invention relates to the field of electric energy metering, in particular to a metering intelligent laboratory management system and a metering intelligent laboratory management method based on an AIOT technology.
Background
The intelligent laboratory is divided into 3 levels, the first level is the intellectualization of the laboratory information aspect, the laboratory information management system is a multidisciplinary cross comprehensive application technology, the system is a networking system which is specially applied to analyzing and detecting various information and management of the laboratory, the informatization management of laboratory resources is realized to a certain extent, the system obtains certain application in various foreign laboratories, a plurality of scientific research institutions and commercial institutions develop related research on the system, the second level is based on the internet of things technology, the ubiquitous intelligent perception of the laboratory environment and instrument equipment is realized, namely, the laboratory environment parameters are monitored and collected in real time through a monitoring terminal, and the regulation is carried out through control equipment, and the optimal solution of the laboratory environment control, safety and energy efficiency is sought. The third layer is the intellectualization of the laboratory environment level, the optimization and intelligent decision making are carried out after the data are uploaded to the big data platform, the level is the intellectualization of the laboratory operation level, the operation process of the laboratory can have the functions of self-organization of experimental items and equipment, self-optimization of experimental sequence and energy consumption, self-matching of experimental resources and the like, and the intellectualized laboratory in the real sense is realized. The AIoT integrates an AI technology and an IoT technology, massive data from different dimensions are generated and collected through the Internet of things and stored in a cloud end and an edge end, and all-things datamation and all-things intelligent association are achieved through big data analysis and artificial intelligence in a higher form. The technology of the internet of things is integrated with artificial intelligence, an intelligent ecological system is finally pursued, and mutual integration and intercommunication among different intelligent terminal devices, different system platforms and different application scenes are achieved in the system, so that all things can be integrated.
In the prior art, a metering laboratory management system realizes metering verification platform body control, test data collection and recording, test environment collection, test environment control and personnel identity identification based on an IoT technology, but the information collection and hardware control lack effective association with metering verification tasks, the system lacks autonomous intelligent judgment, the operation flow is complex, and the metering laboratory is high in labor cost and low in operation efficiency.
Disclosure of Invention
In order to solve the technical problems, the invention provides an intelligent metrology laboratory management system based on the AIOT technology and a method thereof.
The technical scheme of the invention is realized as follows:
a smart metrology lab management system based on AIOT technology, comprising:
the environment data acquisition equipment can sense the states of the environment and the stage body;
the laboratory management system is used for automatically distributing the verification tasks to designated equipment, designated personnel and intelligent guide personnel according to the metrological verification tasks received by the metrological laboratory through the autonomous judgment of the system, automatically controlling the verification platform body to execute the tasks, actively supervising the verification operation quality, automatically verifying the accuracy of test data and automatically issuing verification results;
the environment data acquisition equipment comprises a platform body sensing equipment and an environment sensing equipment, and senses the running, stopping, fault, stopping and other states of the platform body, the temperature, the humidity and the like of the environment.
The laboratory management system comprises a planning subsystem, a task execution subsystem and a result issuing subsystem, and is mainly used for distributing, executing, supervising, automatically checking and generating an issuing verification result for the management system.
The platform body sensing equipment is used as matched hardware of the system, and can be used for remotely controlling and calibrating the platform body according to system instructions, collecting and recording platform body test data, and collecting and uploading the running, stopping, fault, maintenance and shutdown states of the platform body to the system.
The environment sensing equipment is used as matched hardware of the system, realizes control of test environments such as temperature, humidity, power supply quality and electromagnetic environment according to system instructions, and collects test environment data and personnel positions, identities, behaviors and platform positions to be uploaded to the system.
The plan editing subsystem module comprises a receiving metrological verification task and an intelligent distribution verification task, the laboratory uses the plan making subsystem to receive the periodical and temporary verification tasks, and the plan making subsystem adopts a verification task intelligent distribution algorithm to make a verification plan and intelligently distribute the verification tasks according to the acquired personnel and equipment idle degree and qualification conditions.
The task execution subsystem module comprises a guide execution verification task and an active monitoring task quality, and the task execution subsystem can actively guide the verification operation and monitor the operation quality in real time. And actively guiding the calibrating personnel to carry out calibration operation according to the intelligently distributed calibration tasks. When the verification personnel has an incomplete verification task, the verification personnel has the authority of entering a laboratory and operating the verification table body through identity recognition, and when entering the laboratory, the system prompts the incomplete task and the task completion progress and automatically controls the task to start preheating corresponding to the verification table body. When the verification personnel move the tested object out of the area to be detected according to the guidance, the indicator lamp corresponding to the verification table body automatically lights up to guide the verification personnel to bind the epitope. After the epitope is bound, the task execution subsystem automatically generates a verification scheme according to the current task, automatically verifies whether the test environment acquired by the environment sensing equipment meets the verification environment requirement of the current task, and automatically controls the environment sensing equipment to adjust the overrun environment. The platform body sensing equipment is used for automatically controlling the verification platform body to carry out test operation and automatically collecting and recording test data. And in the whole process of operation, the task execution subsystem carries out real-time supervision on the operation quality in real time. And a safety active protection method is adopted to carry out active prevention and control on the safety of personnel and the platform body. And automatically controlling the verification environment by adopting an environment correlation control method.
The result issuing subsystem module comprises automatic verification data and a generated issuing verification result, the result issuing subsystem adopts a verification data verification method to automatically verify the relevant tasks of the collected test data, automatically generates and issues verification reports after verification is passed, and keeps the test data for source tracing.
A smart metering laboratory management method based on AIOT technology comprises the following steps:
step 1: personnel information, personnel qualification information and information pre-recorded by the system are compared and judged, the working state of personnel is judged through environment sensing equipment, the temperature, humidity and electromagnetic environment of a laboratory environment are sensed, and the state of the platform body is judged through platform body sensing equipment.
Step 2: and (3) according to the input information in the step (1), the personnel enters a laboratory, the system judges whether the personnel and the platform body have the qualification required by the current task, if not, the current task is rejected, and if so, the system continuously judges whether the platform body and the personnel with the qualification are in an idle state.
And step 3: and (3) judging whether the platform body and the personnel are in an idle state according to the step (2), when the platform body and the personnel are not in the idle state, continuously judging whether the task state is urgent, and when the platform body and the personnel are in the idle state, distributing the verification task to specified verification personnel and the platform body.
And 4, step 4: and (3) according to the verification task in the step (3), when the task is judged to be an emergency situation, suspending the qualified platform body and the non-emergency task performed by the personnel, and when the task is not emergency, adding the task into a task queue to wait for the qualified personnel and the platform body to be idle.
And 5: and (4) according to the verification task distributed in the step (3), authorizing personnel to enter the laboratory operation table body.
Step 6: and 5, prompting the task progress and automatically preheating the table body when the personnel enters the laboratory to operate the table body.
And 7: and 6, after the table body is preheated according to the step 6, moving the tested object out of the to-be-detected area and lighting the corresponding table body indicating lamp to guide the binding epitope.
And 8: and binding the epitope according to the step 7, and automatically generating a verification scheme corresponding to the current task.
And step 9: and (5) automatically checking and verifying the environment according to the scheme of the step 8, judging whether the current task requirement is met, and automatically adjusting the overrun environment.
Step 10: and (4) automatically controlling the current task to correspond to the platform body to execute the task according to the step 9, and automatically collecting and recording experimental data.
Step 11: the environment sensing equipment collects personnel behaviors, personnel, platform body positions and verification environment data.
Step 12: and (4) after the position and the environment data are sensed according to the step 11, judging the behaviors, the positions and the positions of the table body of the personnel, and judging whether the environment data exceed a set temperature and humidity threshold value.
Step 13: and (5) according to the judgment of the step (12), when the personnel behaviors and the platform body position are not abnormal, continuously executing the verification task.
Step 13a: and (4) judging according to the step (12), when the personnel mistakenly enter a defined dangerous area or abnormally fall down or swing the arm, automatically cutting off the power supply and terminating the verification task.
Step 13b: when the position of the table body moves beyond the defined area, the system carries out abnormal movement alarm.
Step 13c: when the temperature of the environment data is not higher than the normal temperature and humidity threshold value, the verification task is continuously executed, the normal temperature and humidity threshold value is exceeded by 0-2%, general alarm is carried out, the environment is adjusted through the environment sensing equipment, the serious alarm is carried out, the environment is adjusted through the environment sensing equipment, the normal temperature and humidity threshold value is exceeded by 5%, emergency alarm is carried out, and the abnormal verification task is stopped until the environment data is recovered to be normal.
Step 14: when a person executes a task, the platform sensing equipment can automatically collect and record test data.
Step 15: and (5) according to the data collected and recorded in the step 14, carrying out logic, format and accuracy verification on the test data.
Step 16: and (5) automatically generating and issuing verification results after the verification passes according to the step 15, and reserving files for tracing.
Step 16a: and (5) failing to pass the verification according to the step 15, carrying out data abnormity warning and carrying out a test on error data again.
The invention solves the problems of high labor cost and low operation efficiency of a metering laboratory caused by the lack of autonomous intelligent judgment and complex operation process of the system. In order to realize the intelligent autonomous operation of the verification operation of the metering laboratory, improve the execution quality and efficiency of the verification task of the metering laboratory, improve the accuracy and compliance of the verification result, realize the automatic association of the verification operation and the task, the whole-course intelligent guidance of the operation, the active quality supervision of the operation and the accuracy traceability of the verification result, the invention has simple and convenient operation and easy reconstruction. Has great market popularization value.
Drawings
FIG. 1 is a flow chart of the overall system architecture of a metrology intelligent laboratory management system based on AIOT technology.
FIG. 2 is a flow chart of an embodiment of the metrology intelligence lab management system based on AIOT technology.
FIG. 3 is a flow chart of an intelligent distribution method for verification tasks of the intelligent metrology lab management method based on AIOT technology.
FIG. 4 is a flow chart of a method for guiding verification operations of the intelligent metrology lab management method based on AIOT technology.
FIG. 5 is a flowchart of an AIOT technology-based security active prevention and control method for intelligent metrology lab management.
FIG. 6 is a flowchart illustrating an environment-dependent control method for a smart metrology lab management method based on AIOT technology.
FIG. 7 is a flow chart of a verification method for smart metering lab management method based on AIOT technology.
Detailed Description
As shown in fig. 1, the intelligent metrology lab management system based on the AIOT technology of the present invention includes:
the environment data acquisition equipment can sense the states of the environment and the stage body;
the laboratory management system automatically distributes the verification tasks to designated equipment, designated personnel and intelligent guide personnel through the autonomous judgment of the system aiming at the metrological verification tasks received by the metrological laboratory, automatically controls the verification platform body to execute the tasks, actively supervises the verification operation quality, automatically verifies the accuracy of test data and automatically issues verification results;
the environment data acquisition equipment comprises a platform body sensing equipment and an environment sensing equipment, and senses the running, stopping, fault, stopping and other states of the platform body, the temperature, the humidity and the like of the environment.
The laboratory management system comprises a planning subsystem, a task execution subsystem and a result issuing subsystem, and is mainly used for distributing, executing, supervising, automatically checking and generating issuing verification results for the management system.
The platform sensing equipment is used as matched hardware of the system, the platform is remotely controlled and calibrated according to system instructions, and the test data of the platform is collected and recorded, and the running, stopping, fault, maintenance and shutdown states of the platform are uploaded to the system.
The environment sensing equipment is used as matched hardware of the system, realizes control of test environments such as temperature, humidity, power supply quality and electromagnetic environment according to system instructions, and collects test environment data and personnel positions, identities, behaviors and platform positions to be uploaded to the system.
The plan editing subsystem module comprises a receiving metrological verification task and an intelligent distribution verification task, the laboratory use plan compiling subsystem receives periodic and temporary verification tasks, and the plan compiling subsystem adopts a verification task intelligent distribution algorithm to compile a verification plan and intelligently distribute the verification tasks according to the acquired personnel, equipment idle degree and qualification conditions.
The task execution subsystem module comprises a guide execution verification task and an active monitoring task quality, and the task execution subsystem can actively guide the verification operation and monitor the operation quality in real time. And actively guiding the calibrating personnel to carry out calibration operation according to the intelligently distributed calibration tasks. When the verification personnel has an incomplete verification task, the verification personnel has the authority of entering a laboratory and operating the verification table body through identity recognition, and when entering the laboratory, the system prompts the incomplete task and the task completion progress and automatically controls the task to start preheating corresponding to the verification table body. When the verification personnel move the tested object out of the area to be detected according to the guidance, the indicator lamp corresponding to the verification table body automatically lights up to guide the verification personnel to bind the epitope. After the epitope is bound, the task execution subsystem automatically generates a verification scheme according to the current task, automatically verifies whether the test environment acquired by the environment sensing equipment meets the verification environment requirement of the current task, and automatically controls the environment sensing equipment to adjust the overrun environment. The test operation is carried out by automatically controlling the verification platform body through the platform body sensing equipment, and test data are automatically collected and recorded. And in the whole process of operation, the task execution subsystem carries out real-time supervision on the operation quality in real time. And a safety active protection method is adopted to carry out active prevention and control on the safety of personnel and the platform body. And automatically controlling the verification environment by adopting an environment correlation control method.
The result issuing subsystem module comprises automatic verification data and a generated issuing verification result, the result issuing subsystem adopts a verification data verification method to automatically verify the correlation tasks of the collected and recorded test data, automatically generates and issues verification reports after the verification is passed, and keeps the test data for tracing.
A method for intelligent metrology laboratory management based on AIOT technology comprises the following steps:
step 1: personnel information, personnel qualification information and information pre-recorded by the system are compared and judged, the working state of personnel is judged through environment sensing equipment, the temperature, humidity and electromagnetic environment of a laboratory environment are sensed, and the state of the platform body is judged through platform body sensing equipment.
And 2, step: and (3) according to the input information in the step (1), the personnel enters a laboratory, the system judges whether the personnel and the platform body have the qualification required by the current task, if not, the current task is rejected, and if so, the system continuously judges whether the platform body and the personnel with the qualification are in an idle state.
And step 3: and (3) judging whether the platform body and the personnel are in an idle state according to the step (2), when the platform body and the personnel are not in the idle state, continuously judging whether the task state is urgent, and when the platform body and the personnel are in the idle state, distributing the verification task to specified verification personnel and the platform body.
And 4, step 4: and (4) according to the verification task in the step (3), when the task is judged to be an emergency situation, suspending the qualified platform and the non-emergency task performed by the personnel, and when the task is not emergency, adding the task into a task queue to wait for the qualified personnel and the qualified platform to be idle.
And 5: and (4) according to the verification task distributed in the step (3), authorizing personnel to enter the laboratory operation table body.
And 6: and 5, prompting the task progress and automatically preheating the table body when the personnel enters the laboratory to operate the table body.
And 7: and 6, after the table body is preheated according to the step 6, moving the tested object out of the to-be-detected area and lighting the corresponding table body indicating lamp to guide the binding epitope.
And 8: and binding the epitope according to the step 7, and automatically generating a verification scheme corresponding to the current task.
And step 9: and (5) automatically checking and verifying the environment according to the scheme of the step 8, judging whether the current task requirement is met, and automatically adjusting the overrun environment.
Step 10: and (4) automatically controlling the current task to correspond to the platform body to execute the task according to the step 9, and automatically collecting and recording experimental data.
Step 11: the environment sensing equipment collects personnel behaviors, personnel, platform body positions and verification environment data.
Step 12: and (4) after the position and the environmental data are sensed according to the step 11, judging the behaviors, the positions and the positions of the table body of the personnel, and judging whether the environmental data exceed a set temperature and humidity threshold value.
Step 13: and (5) according to the judgment of the step (12), when the personnel behaviors and the platform body position are not abnormal, continuing to execute the verification task.
Step 13a: and (4) judging according to the step (12), when the personnel mistakenly enter a defined dangerous area or abnormally fall down or swing the arm, automatically cutting off the power supply and terminating the verification task.
Step 13b: when the position of the table body moves beyond the defined area, the system carries out abnormal movement alarm.
Step 13c: when the temperature of the environment data is not higher than the normal temperature and humidity threshold value, the verification task is continuously executed, the normal temperature and humidity threshold value is exceeded by 0-2%, general alarm is carried out, the environment is adjusted through the environment sensing equipment, the serious alarm is carried out, the environment is adjusted through the environment sensing equipment, the normal temperature and humidity threshold value is exceeded by 5%, emergency alarm is carried out, and the abnormal verification task is stopped until the environment data is recovered to be normal.
Step 14: when a person executes a task, the platform sensing equipment can automatically collect and record test data.
Step 15: and (5) according to the data collected and recorded in the step 14, carrying out logic, format and accuracy verification on the test data.
Step 16: and (5) automatically generating and issuing verification results after the verification passes according to the step 15, and reserving files for tracing.
Step 16a: and (5) checking that the data fail to pass the step (15), performing data abnormal alarm, and re-testing error data.
The invention relates to a smart metering laboratory management system based on AIoT technology, which consists of a planning subsystem, a task execution subsystem, a result issuing subsystem, a verification platform body perception device and a verification environment perception device. Based on AIoT (artificial intelligence Internet of things) technology, aiming at a metrological verification task received by a metrological laboratory, the platform sensing equipment can realize remote control verification of the platform according to system instructions, collect and record platform test data, collect running, stopping, fault, maintenance and stop states of the platform and upload the data to a system, and the environment sensing equipment collects and uploads test environment data, personnel positions, identities, behaviors and platform positions to the system. Then, the management system is distributed, executed, supervised, automatically checked and generated to release the verification result, the laboratory uses a planning subsystem to accept periodic and temporary verification tasks, and the planning subsystem adopts a verification task intelligent distribution algorithm to plan and intelligently distribute the verification tasks according to the acquired personnel, equipment idle degree and qualification conditions; the task execution subsystem can actively guide the verification operation and supervise the operation quality in real time. And actively guiding the calibrating personnel to carry out calibrating operation according to the intelligently distributed calibrating task. When the verification personnel has an incomplete verification task, the verification personnel has the authority of entering a laboratory and operating the verification table body through identity recognition, and when entering the laboratory, the system prompts the incomplete task and the task completion progress and automatically controls the task to start preheating corresponding to the verification table body. When the verification personnel move the tested object out of the area to be detected according to the guidance, the indicator lamp corresponding to the verification table body automatically lights up to guide the verification personnel to bind the epitope. After the epitope is bound, the task execution subsystem automatically generates a verification scheme according to the current task, automatically verifies whether the test environment acquired by the environment sensing equipment meets the verification environment requirement of the current task, and automatically controls the environment sensing equipment to adjust the overrun environment. The platform body sensing equipment is used for automatically controlling the verification platform body to carry out test operation and automatically collecting and recording test data. And in the whole process of operation, the task execution subsystem carries out real-time supervision on the operation quality in real time. And a safety active protection method is adopted to carry out active prevention and control on the safety of personnel and the platform body. Automatically controlling the verification environment by adopting an environment correlation control method; and the result issuing subsystem adopts a verification data verification method to automatically verify the acquired and recorded test data by the associated tasks, automatically generates and issues a verification report after the verification is passed, and keeps the test data.
Claims (7)
1. The utility model provides a measurement wisdom laboratory management system based on AIOT technique which characterized in that: the method comprises the following steps:
the environment data acquisition equipment can sense the states of the environment and the stage body;
the laboratory management system automatically distributes the verification tasks to designated equipment, designated personnel and intelligent guide personnel through the autonomous judgment of the system aiming at the metrological verification tasks received by the metrological laboratory, automatically controls the verification platform body to execute the tasks, actively supervises the verification operation quality, automatically verifies the accuracy of test data and automatically issues verification results;
the environment data acquisition equipment comprises a platform body sensing equipment and an environment sensing equipment, and is used for sensing the running, stopping, fault, stopping and other states of the platform body, the temperature, the humidity and the like of the environment;
the laboratory management system comprises a planning subsystem, a task execution subsystem and a result issuing subsystem, and is mainly used for distributing, executing, supervising, automatically checking and generating issuing verification results for the management system.
2. The intelligent metrology lab management system based on AIOT technology as claimed in claim 1 wherein: the platform body sensing equipment is used as matched hardware of the system, and can be used for remotely controlling and calibrating the platform body according to system instructions, collecting and recording platform body test data, and collecting and uploading the running, stopping, fault, maintenance and shutdown states of the platform body to the system.
3. The intelligent metrology lab management system based on AIOT technology as claimed in claim 1 wherein: the environment sensing equipment is used as matched hardware of the system, realizes control of test environments such as temperature, humidity, power supply quality and electromagnetic environment according to system instructions, and collects test environment data and personnel positions, identities, behaviors and platform positions to be uploaded to the system.
4. The intelligent metrology lab management system based on AIOT technology as claimed in claim 1 wherein: the plan editing subsystem module comprises a receiving metrological verification task and an intelligent distribution verification task, the laboratory use plan compiling subsystem receives periodic and temporary verification tasks, and the plan compiling subsystem adopts a verification task intelligent distribution algorithm to compile a verification plan and intelligently distribute the verification tasks according to the acquired personnel, equipment idle degree and qualification conditions.
5. The intelligent metrology lab management system based on AIOT technology as claimed in claim 1 wherein: the task execution subsystem module comprises a guide execution verification task and an active monitoring task quality, and the task execution subsystem can actively guide the verification operation and monitor the operation quality in real time. And actively guiding the calibrating personnel to carry out calibration operation according to the intelligently distributed calibration tasks.
6. The intelligent metrology lab management system based on AIOT technology as claimed in claim 1 wherein: the result issuing subsystem module comprises automatic verification data and a generated issuing verification result, the result issuing subsystem adopts a verification data verification method to automatically verify the relevant tasks of the collected test data, automatically generates and issues verification reports after verification is passed, and keeps the test data for source tracing.
7. A method for measuring an intelligent laboratory management system based on AIOT technology is characterized by comprising the following steps: the method comprises the following steps:
step 1: personnel information, personnel qualification information and information pre-recorded by the system are compared and judged, the working state of personnel is judged through environment sensing equipment, the temperature, humidity and electromagnetic environment of a laboratory environment are sensed, and the state of the platform body is judged through platform body sensing equipment.
And 2, step: and (3) according to the input information in the step (1), the personnel enters a laboratory, the system judges whether the personnel and the platform body have the qualification required by the current task, if not, the current task is rejected, and if so, the system continuously judges whether the platform body and the personnel with the qualification are in an idle state.
And step 3: and (3) judging whether the platform body and the personnel are in an idle state according to the step (2), when the platform body and the personnel are not in the idle state, continuously judging whether the task state is urgent, and when the platform body and the personnel are in the idle state, distributing the verification task to specified verification personnel and the platform body.
And 4, step 4: and (3) according to the verification task in the step (3), when the task is judged to be an emergency situation, suspending the qualified platform body and the non-emergency task performed by the personnel, and when the task is not emergency, adding the task into a task queue to wait for the qualified personnel and the platform body to be idle.
And 5: and (4) according to the verification task distributed in the step (3), authorizing personnel to enter the laboratory operation table body.
Step 6: and 5, prompting the task progress and automatically preheating the table body when the personnel operates the table body when entering the laboratory.
And 7: and 6, after the table body is preheated according to the step 6, moving the tested object out of the to-be-detected area and lighting the corresponding table body indicating lamp to guide the binding epitope.
And 8: binding the epitope according to the step 7, and automatically generating a verification scheme corresponding to the current task.
And step 9: and (5) automatically checking the verification environment according to the scheme in the step (8) to judge whether the current task requirement is met or not and automatically adjusting the overrun environment.
Step 10: and (4) automatically controlling the current task to correspond to the platform body to execute the task according to the step 9, and automatically collecting and recording experimental data.
Step 11: the environment sensing equipment collects personnel behaviors, personnel, platform body positions and verification environment data.
Step 12: and (4) after the position and the environmental data are sensed according to the step 11, judging the behaviors, the positions and the positions of the table body of the personnel, and judging whether the environmental data exceed a set temperature and humidity threshold value.
Step 13: and (5) according to the judgment of the step (12), when the personnel behaviors and the platform body position are not abnormal, continuing to execute the verification task.
Step 13a: and (4) judging according to the step (12), when the personnel mistakenly enter a defined dangerous area or abnormally fall down or swing the arm, automatically cutting off the power supply and terminating the verification task.
Step 13b: when the position of the stage body moves beyond the demarcated area, the system carries out abnormal movement warning.
Step 13c: when the temperature of the environment is not higher than the normal temperature and humidity threshold value, the verification task is continuously executed, the normal temperature and humidity threshold value is exceeded by 0-2%, general alarm is carried out, the environment is adjusted through the environment sensing equipment, the normal temperature and humidity threshold value is exceeded by 2-5%, serious alarm is carried out, the environment is adjusted through the environment sensing equipment, the normal temperature and humidity threshold value is exceeded by 5%, emergency alarm is carried out, and the abnormal verification task is stopped until the environment data is recovered to be normal.
Step 14: when a person executes a task, the platform sensing equipment can automatically collect and record test data.
Step 15: and (5) according to the data collected in the step 14, carrying out logic, format and accuracy verification on the test data.
Step 16: and (5) automatically generating and issuing verification results after the verification passes according to the step 15, and reserving files for tracing.
Step 16a: and (5) failing to pass the verification according to the step 15, carrying out data abnormity warning and carrying out a test on error data again.
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| CN117273397A (en) * | 2023-11-20 | 2023-12-22 | 中国科学院空天信息创新研究院 | Intelligent management platform applied to laboratory |
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| CN117273397B (en) * | 2023-11-20 | 2024-01-26 | 中国科学院空天信息创新研究院 | Intelligent management platform applied to laboratory |
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