A health status assessment method and system based on computer equipment

Abstract

The present invention discloses a health status assessment method and system based on computer equipment, which relates to the technical field of health status assessment. The present invention includes a laboratory data acquisition module, a health status assessment module, a laboratory equipment simulation analysis module, a processing terminal and a data warehouse. The present invention develops a health status assessment method for computer equipment in the laboratory based on the characteristics of computer equipment in the laboratory, combines the usage behavior tracing assessment layer with the peripheral loss quantification assessment layer, and deeply assesses the health status of the equipment from the perspective of human operation. The health status assessment of computer equipment in the laboratory is realized, the computer equipment is simulated and tested based on the teaching-related data in the laboratory, and the scientific research load pressure assessment layer is combined with the energy consumption behavior assessment layer to achieve a balance between scientific research needs and energy-saving goals.

Description

Technical Field

[0001] The present invention relates to the technical field of health status assessment, and in particular to a health status assessment method and system based on computer equipment. Background Art

[0002] In an era of high reliance on information technology, the stable operation of computer equipment is the fundamental guarantee for business continuity and data security. Systematic and continuous assessment of its health status is a core component and essential requirement of modern IT operations and maintenance. Therefore, conducting health assessments of computer equipment is extremely necessary.

[0003] There are still some shortcomings in the health status assessment of computer equipment in the existing technology, which are specifically reflected in the following aspects: Most of the existing technologies are general-purpose health status assessments of computer equipment, which are not very targeted for laboratory equipment. Computer equipment in the laboratory is difficult to apply to the health status assessment of general-purpose computer equipment due to its characteristics of being shared by multiple people, having large differences in professional scenarios, and being mixed for teaching and scientific research. Therefore, it is particularly important to develop a health status assessment method for computer equipment in the laboratory. Summary of the Invention

[0004] The purpose of the present invention is to provide a method and system for evaluating the health status of computer equipment, which solves the problems existing in the background technology.

[0005] In order to solve the above technical problems, the present invention adopts the following technical solutions: The first aspect of the present invention provides a health status assessment method based on computer equipment, including: ST1, through the built-in behavior recorder of the BIOS layer, continuously track the students' operation behavior on the computer equipment in the laboratory, and form a data set of records of the computer operation behavior in the laboratory. At the same time, continuously monitor the students' peripheral operation behavior on the computer equipment in the laboratory, and form a data set of records of the computer peripheral operation behavior in the laboratory.

[0006] ST2. Based on the dataset of computer operation behavior records and the dataset of computer peripherals in the laboratory, the health status levels of several computer devices in the laboratory are obtained through data processing.

[0007] ST3. Obtain teaching-related data in the laboratory and perform simulation tests on the computer equipment in the laboratory. Generate a set of task-abnormal computer equipment and a set of energy-optimized computer equipment based on the simulation test data.

[0008] ST4. Send the task abnormality computer equipment set and energy consumption optimization computer equipment set to the laboratory equipment management center.

[0009] The second aspect of the present invention provides a system for executing the computer equipment health status assessment method described in the present invention, including: a laboratory data acquisition module, which continuously tracks students' operating behaviors on computer equipment in the laboratory through a behavior recorder built into the BIOS layer, forming a data set of records of computer operating behaviors in the laboratory; at the same time, it continuously monitors students' operating behaviors on peripherals of computer equipment in the laboratory, forming a data set of records of computer peripheral operating behaviors in the laboratory.

[0010] The health status assessment module obtains the health status levels of several computer devices in the laboratory through data processing based on the computer operation behavior record data set and the computer peripheral data set in the laboratory.

[0011] The laboratory equipment simulation analysis module obtains teaching-related data in the laboratory and performs simulation tests on the computer equipment in the laboratory. Based on the simulation test data, it generates a set of task-abnormal computer equipment and a set of energy-optimized computer equipment.

[0012] The processing terminal transmits the task abnormality computer equipment set and the energy consumption optimization computer equipment set to the laboratory equipment management center.

[0013] The beneficial effects of the present invention are as follows: (1) The present invention develops a health status assessment method for computer equipment in a laboratory based on the characteristics of the computer equipment in the laboratory, which makes up for the shortcomings of the existing technology.

[0014] (2) This invention combines the usage behavior traceability assessment layer with the peripheral loss quantification assessment layer to deeply evaluate the health status of the equipment from the perspective of human operation. By continuously tracking students' operation behavior on the equipment and accurately detecting the physical loss of peripherals, the data of the two are correlated and analyzed to achieve the health status assessment of computer equipment in the laboratory.

[0015] (3) This invention simulates and tests computer equipment based on laboratory teaching-related data, combining the scientific research load pressure assessment layer with the energy consumption behavior assessment layer to evaluate the performance of equipment under high-intensity scientific research tasks. At the same time, the energy consumption of the equipment under different load conditions is calculated to achieve a balance between scientific research needs and energy conservation goals. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0017] Figure 1The figure is a schematic flow chart of the steps for implementing the method of the present invention.

[0018] Figure 2 This is a schematic diagram of the system structure connection of the present invention. DETAILED DESCRIPTION

[0019] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0020] Reference Figure 1 As shown, the first aspect of the present invention provides a health status assessment method based on computer equipment, including: ST1, through the built-in behavior recorder of the BIOS layer, continuously tracking the students' operating behavior on the computer equipment in the laboratory, forming a data set of records of the computer operation behavior in the laboratory, and at the same time, continuously monitoring the students' peripheral operating behavior on the computer equipment in the laboratory, forming a data set of records of the computer peripheral operating behavior in the laboratory.

[0021] In a specific embodiment of the present invention, the computer operation behavior record data set in the laboratory includes operation logs of several computer devices used by various student ID accounts, and the operation logs specifically include several operation data feature values.

[0022] Specifically, the several operation data characteristic values ​​include but are not limited to the boot frequency, shutdown frequency, high-load program running time, the number of multiple processes started simultaneously, process switching frequency, sleep and wake-up times, standby time ratio, disk continuous read and write time, GPU full-load running time period and other operation behavior data characteristic values ​​that affect the health status of computer equipment.

[0023] In a specific embodiment of the present invention, the computer peripheral operation behavior record data set in the laboratory includes peripheral operation logs of several computer devices used by each student ID account, and the peripheral operation logs specifically include characteristic values ​​of several peripheral operation data under time series characteristics.

[0024] Specifically, the characteristic values ​​of the several peripheral operation data under the timing characteristics include but are not limited to the capacitance value of each keyboard key under the timing characteristics, the maximum pressure of the touch screen under the timing characteristics, the voltage of the USB interface under the timing characteristics, the pressing force of the left and right mouse buttons under the timing characteristics, the resistance coefficient of the scroll wheel under the timing characteristics, and other characteristic values ​​of operation behavior data that affect the health status of the computer device peripherals.

[0025] It should be noted that the MCU is used to read the keyboard button capacitance value of the computer equipment in the laboratory, the infrared array scans the touch screen prior pressure distribution, the DIY voltage monitoring module is used to monitor the USB interface voltage, and the pressure sensor + microcontroller and encoder are used to monitor the pressing force of the left and right mouse buttons under the timing characteristics, and the resistance coefficient of the scroll wheel under the timing characteristics.

[0026] ST2. Based on the dataset of computer operation behavior records and the dataset of computer peripherals in the laboratory, the health status levels of several computer devices in the laboratory are obtained through data processing.

[0027] In a specific embodiment of the present invention, the health status levels of several computer devices in the laboratory are obtained through data processing, and the specific processing method is: ST2001, based on the data set of computer operation behavior records in the laboratory, evaluate the first health status evaluation value of several computer devices in the laboratory.

[0028] ST2002. Evaluate the second health status evaluation value of several computer devices in the laboratory based on the computer peripheral device data set in the laboratory.

[0029] ST2003. Perform weighted sum processing on the first health status evaluation values ​​and the second health status evaluation values ​​of several computer devices in the laboratory, and obtain the overall health status value of the several computer devices in the laboratory through sigmoid function processing.

[0030] It should be noted that the sigmoid function can be used to control the overall health status values ​​of several computer devices in the laboratory within the range of 0-1, which is convenient for subsequent analysis and processing.

[0031] ST2004. Compare the overall health status values ​​of several computer devices in the laboratory with the overall health status value intervals corresponding to each health status level stored in the data warehouse. If the overall health status value of a computer device in the laboratory is within the overall health status value interval corresponding to a certain health status level, then record the health status level as the health status level of the computer device, and match the health status levels of several computer devices in the laboratory.

[0032] It should be noted that the overall health status value interval corresponding to each health status level is specifically set by the laboratory manager. The higher the health status level, the larger the corresponding overall health status value.

[0033] In a specific embodiment of the present invention, the first health status evaluation value of several computer devices in the evaluation laboratory is evaluated by a specific evaluation method: extracting several operation data feature values ​​of several computer devices used by each student ID account from the computer operation behavior record data set in the laboratory, and comparing them with the appropriate intervals of several operation data feature values ​​stored in the data warehouse. If a certain operation data feature value is within the appropriate interval, the offset parameter of the operation data feature value is recorded as 0, otherwise the excess amplitude of the operation data feature value is obtained, and the offset parameters of several operation data feature values ​​are obtained after homogenization processing.

[0034] It should be noted that the exceeding amplitude specifically refers to the amplitude exceeding the maximum value of the suitable interval or the amplitude exceeding the minimum value of the suitable interval.

[0035] The offset parameters of several operation data characteristic values ​​of several computer devices used by each student ID account are averaged to obtain first health status assessment values ​​of the several computer devices.

[0036] In a specific embodiment of the present invention, the second health status evaluation value of several computer devices in the laboratory is evaluated by the following specific evaluation method: extracting the characteristic values ​​of several computer devices used by each student ID account under the time series characteristics from the computer peripheral operation behavior record data set in the laboratory, identifying the abnormal time series points of the several peripheral operation data, and calculating the abnormal proportions of the several peripheral operation data of the several computer devices in the laboratory. If the abnormal proportion of a certain peripheral operation data is greater than or equal to the preset abnormal proportion, the second health status evaluation value of the computer device in the laboratory is recorded as 0. If the abnormal proportions of all peripheral operation data are less than the preset abnormal proportions, the second health status evaluation value of the computer device is recorded as 1.

[0037] It should be noted that the identification of abnormal timing points of several peripheral operation data is specifically based on the characteristic values ​​of several peripheral operation data under the timing characteristics combined with the appropriate characteristic value intervals of several peripheral operation data stored in the data warehouse. If the characteristic value of the peripheral operation data at a certain timing point is not within the appropriate characteristic value interval, then the timing point is recorded as an abnormal timing point. The appropriate characteristic value intervals of several peripheral operation data stored in the data warehouse are specifically formulated according to the operation manual of the peripheral device or the industry standard.

[0038] It should also be noted that the abnormal proportion of several peripheral operation data obtained by the calculation is specifically calculated as follows: count the number of abnormal time sequence points of several peripheral operation data when several computer devices in the laboratory are used by each student ID account, and divide it by the total number of time sequence points to obtain the abnormal proportion of several peripheral operation data when several computer devices in the laboratory are used by each student ID account, and perform mean processing on it to obtain the abnormal proportion of several peripheral operation data of several computer devices in the laboratory.

[0039] This invention combines a user behavior traceability assessment layer with a peripheral device wear quantification assessment layer to deeply assess device health from the perspective of human operation. By continuously tracking student device operation behavior and accurately detecting the physical wear of peripherals, and correlating and analyzing the data from both, we can assess the health of computer equipment in the laboratory.

[0040] ST3. Obtain teaching-related data in the laboratory and perform simulation tests on the computer equipment in the laboratory. Generate a set of task-abnormal computer equipment and a set of energy-optimized computer equipment based on the simulation test data.

[0041] In a specific embodiment of the present invention, the method for obtaining teaching-related data in the laboratory and performing simulation tests on computer equipment in the laboratory is as follows: ST3011. Based on the teaching-related data in the laboratory, the required health status level of the computer equipment in the laboratory is screened out, and several computer equipment in the laboratory that are below the required health status level are eliminated, and the remaining several computer equipment are recorded as several test computers.

[0042] It should be noted that the method of screening the demand health status level of computer equipment in the laboratory based on the teaching-related data in the laboratory is to extract several key parameters related to the pressure of the computer equipment, and to associate the demand health status level corresponding to each key parameter preset in the data warehouse with the demand health status level corresponding to several key parameters related to the pressure of the computer equipment, and select the maximum demand health status level as the demand health status level of the computer equipment in the laboratory.

[0043] ST3012. Based on the teaching-related data in the laboratory, simulate tests are performed on the remaining computer equipment. The simulation tests are specifically performed based on the teaching-related data in the laboratory, and simulation test data are obtained. The simulation test data specifically includes characteristic parameters of several test computers in the laboratory in each test.

[0044] For example, key parameters related to computer equipment stress are extracted from teaching-related data in the laboratory (such as course outlines, student laboratory reports, historical equipment monitoring logs, etc.) to form a test "benchmark template".

[0045] For example, taking parallel computing scenarios, data IO scenarios, and graphics rendering scenarios as examples, the benchmark template for the parallel computing scenario is the number of threads, the number of concurrent processes, and the task type of the multi-threaded task; the benchmark template for the data IO scenario is the data set size of the SQL query, the batch read and write frequency of file operations, and the read and write mode; the benchmark template for the graphics rendering scene is the rendering resolution, the number of polygons of the 3D model, and the rendering time.

[0046] It should be noted that the simulation of parallel computing scenarios can be implemented through Python, the simulation of data IO scenarios can be implemented through Linux, and the simulation of graphics rendering scenarios can be implemented through Blender and Adobe AfterEffects.

[0047] Specifically, the characteristic parameters of each test include test type, fault type and total power consumption, among which the fault types include but are not limited to insufficient CPU utilization in parallel computing scenarios, temperature abnormalities, task completion delays, CPU frequency reduction, program crashes, abnormal write speeds in data IO scenarios, abnormal hard disk temperatures, insufficient GPU utilization in graphics rendering scenarios, video memory occupancy, and other fault types in various test scenarios.

[0048] In a specific embodiment of the present invention, the task abnormality computer device set and the energy consumption optimization computer device set are generated according to the simulated test data, and the specific method is: ST3021, extracting the fault types of several test computer devices in the laboratory in each test from the simulated test data, and statistically calculating the recurrence frequency of various types of faults of several test computer devices. If the recurrence frequency of a certain type of fault of a certain test computer device is greater than or equal to the recurrence frequency threshold of the fault type stored in the data warehouse, then the test computer is summarized into the task abnormality computer device set A, and according to the rule codes of several fault types stored in the data warehouse, a display rule code of the test computer in the task abnormality computer device set is generated.

[0049] For example, if the number of a test computer is 4, the fault type is insufficient CPU utilization, and the recurrence frequency of the fault type is greater than or equal to the corresponding recurrence frequency threshold, then the rule code of the fault type extracted from the data warehouse is 1U, and the display rule code of the test computer device in the energy consumption optimization computer device set is .

[0050] ST3022. Extract the total power consumption and test type of several test computer devices in the laboratory in each test from the simulated test data, and extract the allowable power consumption of several test types from the data warehouse. If the total power consumption of a test exceeds the corresponding allowable power consumption, the test computer device is included in the energy consumption optimization computer device set B, and a display rule code for the test computer in the energy consumption optimization computer device set is generated according to the test type.

[0051] For example, the number of a test computer is 5, the test type is a parallel computing scenario type, and the total power consumption of the test exceeds the corresponding allowed power consumption. The rule code of the test type extracted from the data warehouse is 0I, then the display rule code of the test computer device in the energy consumption optimization computer device set is .

[0052] ST3023, the task abnormality computer equipment set A and the energy consumption optimization computer equipment set B meet the following conditions, if ,but , The first rule code of an element in a collection of computer devices optimized for energy consumption.

[0053] It should be added that if the first rule code of an element in the energy consumption optimization computer device set is the same as the first rule code of an element in the task abnormality computer device set, the element will be removed from the energy consumption optimization computer device set.

[0054] It should be noted again that the recurrence frequency thresholds of various faults and the allowable power consumption of several test types stored in the data warehouse are specifically set by the laboratory manager himself. There is no restriction here. The laboratory manager can set them according to the laboratory needs.

[0055] This method simulates and tests computer equipment using laboratory teaching data, combining a research load pressure assessment layer with an energy consumption behavior assessment layer to evaluate equipment performance under high-intensity research tasks. It also calculates the energy consumption of equipment under different load conditions, achieving a balance between research needs and energy conservation goals.

[0056] ST4. Send the task abnormality computer equipment set and energy consumption optimization computer equipment set to the laboratory equipment management center.

[0057] The present invention aims at the characteristics of computer equipment in a laboratory and develops a health status assessment method for computer equipment in a laboratory, which makes up for the shortcomings of the existing technology.

[0058] Reference Figure 2As shown, the second aspect of the present invention provides a system for the computer equipment-based health status assessment method described in the present invention, including: a laboratory data acquisition module, which continuously tracks students' operating behaviors on computer equipment in the laboratory through a behavior recorder built into the BIOS layer, forming a data set of records of computer operating behaviors in the laboratory; at the same time, it continuously monitors students' operating behaviors on peripherals of computer equipment in the laboratory, forming a data set of records of computer peripheral operating behaviors in the laboratory.

[0059] The health status assessment module obtains the health status levels of several computer devices in the laboratory through data processing based on the computer operation behavior record data set and the computer peripheral data set in the laboratory.

[0060] The laboratory equipment simulation analysis module obtains teaching-related data in the laboratory and performs simulation tests on the computer equipment in the laboratory. Based on the simulation test data, it generates a set of task-abnormal computer equipment and a set of energy-optimized computer equipment.

[0061] The processing terminal transmits the task abnormality computer equipment set and the energy consumption optimization computer equipment set to the laboratory equipment management center.

[0062] It should be noted that the present invention also includes a data warehouse for storing relevant data required by the present invention.

[0063] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should all fall within the scope of protection of the present invention.

Claims

1. A method for evaluating the health status of a computer device, characterized in that: include: ST1. Through the built-in behavior recorder in the BIOS layer, the student's operation behavior on the computer equipment in the laboratory is continuously tracked to form a dataset of computer operation behavior records in the laboratory. At the same time, the student's operation behavior on the peripheral devices of the computer equipment in the laboratory is continuously monitored to form a dataset of computer peripheral operation behavior records in the laboratory. ST2. Based on the computer operation behavior record data set and the computer peripheral equipment data set in the laboratory, the health status level of several computer devices in the laboratory is obtained through data processing; ST3. Obtain teaching-related data in the laboratory and perform simulation tests on the computer equipment in the laboratory. Based on the simulation test data, generate a set of computer equipment with abnormal tasks and a set of computer equipment with optimized energy consumption; The specific method of generating the task abnormality computer equipment set and the energy consumption optimization computer equipment set based on the simulation test data is as follows: ST3021. Extract the fault types of several test computer devices in the laboratory during each test from the simulated test data, and calculate the recurrence frequencies of each type of fault for the several test computer devices. If the recurrence frequency of a certain type of fault for a test computer device is greater than or equal to the recurrence frequency threshold for that type of fault stored in the data warehouse, assign the test computer to task-abnormal computer device set A. Based on the rule codes for the several fault types stored in the data warehouse, generate a display rule code for the test computer in the task-abnormal computer device set. ST3022. Extract the total power consumption and test type of several test computer devices in the laboratory during each test from the simulated test data, and extract the allowable power consumption of several test types from the data warehouse. If the total power consumption of a test exceeds the corresponding allowable power consumption, assign the test computer device to energy-optimized computer device set B, and generate a display rule code for the test computer device in the energy-optimized computer device set based on the test type. ST3023, the task abnormality computer equipment set A and the energy consumption optimization computer equipment set B meet the following conditions, if ,but , A first rule code for an element in a set of computer devices optimized for energy consumption; ST4. Send the task abnormality computer equipment set and energy consumption optimization computer equipment set to the laboratory equipment management center.

2. A method for evaluating the health status of a computer device according to claim 1, characterized in that: The computer operation behavior record data set in the laboratory includes operation logs of several computer devices used by various student ID accounts, and the operation logs specifically include several operation data feature values.

3. A method for evaluating the health status of a computer device according to claim 2, characterized in that: The computer peripheral operation behavior record data set in the laboratory includes peripheral operation logs of several computer devices used by each student ID account, and the peripheral operation logs specifically include characteristic values ​​of several peripheral operation data under time series characteristics.

4. A method for evaluating the health status of a computer device according to claim 3, characterized in that: The health status levels of several computer devices in the laboratory are obtained through data processing, and the specific processing method is as follows: ST2001. Evaluate a first health status assessment value of a plurality of computer devices in the laboratory based on a dataset of computer operation behavior records in the laboratory; ST2002. Evaluate the second health status evaluation value of several computer devices in the laboratory based on the computer peripheral data set in the laboratory; ST2003. Perform weighted sum processing on the first health status assessment value and the second health status assessment value of the computer devices in the laboratory, and obtain the overall health status value of the computer devices in the laboratory by performing sigmoid function processing; ST2004. Compare the overall health status values ​​of several computer devices in the laboratory with the overall health status value intervals corresponding to each health status level stored in the data warehouse, and match them to obtain the health status levels of several computer devices in the laboratory.

5. A method for evaluating the health status of a computer device according to claim 4, characterized in that: The specific evaluation method for evaluating the first health status evaluation value of the plurality of computer devices in the laboratory is as follows: Extracting several operation data feature values ​​of several computer devices used by each student ID account from the computer operation behavior record data set in the laboratory, and comparing them with the appropriate intervals of several operation data feature values ​​stored in the data warehouse, so as to obtain the offset parameters of the several operation data feature values; The offset parameters of several operation data characteristic values ​​of several computer devices used by each student ID account are averaged to obtain first health status assessment values ​​of the several computer devices.

6. A method for evaluating the health status of a computer device according to claim 4, characterized in that: The specific evaluation method for evaluating the second health status evaluation values ​​of the computer devices in the evaluation laboratory is as follows: The characteristic values ​​of several peripheral operation data under time series characteristics of several computer devices used by each student ID account are extracted from the computer peripheral operation behavior record data set in the laboratory, the abnormal time series points of several peripheral operation data are identified, and the abnormal proportions of several peripheral operation data of several computer devices in the laboratory are calculated. If the abnormal proportion of some peripheral operation data is greater than or equal to the preset abnormal proportion, the second health status assessment value of the computer device in the laboratory is recorded as 0. If the abnormal proportions of all peripheral operation data are less than the preset abnormal proportions, the second health status assessment value of the computer device is recorded as 1.

7. A method for evaluating the health status of a computer device according to claim 1, characterized in that: The specific method of obtaining teaching-related data in the laboratory and performing simulation testing on computer equipment in the laboratory is as follows: ST3011. Based on the teaching-related data in the laboratory, screen the required health status levels of the computer equipment in the laboratory, eliminate the computer equipment in the laboratory that is below the required health status level, and record the remaining computer equipment as the test computers; ST3012. Based on the teaching-related data in the laboratory, simulate tests are performed on the remaining computer equipment. The simulation tests are specifically performed based on the teaching-related data in the laboratory, and simulation test data are obtained. The simulation test data specifically includes characteristic parameters of several test computers in the laboratory in each test.

8. A system for executing the computer device-based health status assessment method according to any one of claims 1 to 7, characterized in that: include: The laboratory data acquisition module continuously tracks students' operation behaviors on computer equipment in the laboratory through the built-in behavior recorder in the BIOS layer, forming a dataset of computer operation behaviors in the laboratory. At the same time, it continuously monitors students' operation behaviors on peripheral devices of computer equipment in the laboratory, forming a dataset of computer peripheral operation behaviors in the laboratory. The health status assessment module processes the data set of computer operation behavior records and computer peripheral equipment data in the laboratory to obtain the health status level of several computer equipment in the laboratory; The laboratory equipment simulation analysis module obtains teaching-related data in the laboratory and performs simulation tests on the computer equipment in the laboratory. Based on the simulation test data, it generates a set of computer equipment with abnormal tasks and a set of computer equipment with optimized energy consumption. The processing terminal transmits the task abnormality computer equipment set and the energy consumption optimization computer equipment set to the laboratory equipment management center.

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