Computerized examination supervision identification remote control method
By supervising and processing the risk coefficient of the hardware port changes of computer test computers, combined with early warning prompts, the problems of poor diversity and comprehensiveness of computerized examination supervision and identification and poor active warning effects in the existing technology are solved, and more efficient remote control prevention and supervision and identification are achieved.
Patent Information
- Application Number
- CN202510231698.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-28
- Publication Date
- 2025-03-28
- Estimated Expiration
- 2045-02-28
AI Technical Summary
The existing computerized examination supervision and identification remote control scheme is poor in diversity and comprehensiveness, and the active warning push reminders are not effective.
By supervising the change status of the hardware port after the computer test computer is turned on, digitally processing and dynamically marking, warning prompts; supervising various supervision items in the computer test computer operation according to the preset supervision cycle, different aspects of operation status processing and analysis, dynamically processing the first and second operating risk coefficients; supervising and analyzing the operating risks of different computer test computers, dynamically marking the risk status, and implementing targeted warning prompts for marked abnormal computers.
It has improved the active supervision and prevention effect of computer hardware in computer examinations, enhanced the diversity and comprehensiveness of remote control supervision and identification, and improved the effect of active warning push reminders.
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Figure CN119720226A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of monitoring data processing, and in particular to a method for computerized examination supervision identification and remote control. Background Art
[0002] With the development of information technology, many paper-based exams have been converted to computer-based exams. The obvious advantages of computer-based exams are: fast data distribution and collection, automatic scoring and efficient grading, and reduced costs for printing and transporting exam papers and scanning answer sheets.
[0003] However, an important challenge facing computer-based exams based on IT technology is how to prevent cheating using remote control software. Remote control software is a program similar to Sunflower, TeamViewer, ToDesk, etc., which allows gunmen to remotely control the candidates' computers, which is equivalent to remote substitution - this will seriously damage the fairness of the exam. Common ways to solve this problem are: establish a blacklist of remote control software, and the processes on the blacklist will be forcibly closed; the disadvantage is that it cannot prevent remote control software outside the blacklist; through IP policies or third-party firewalls, the candidate's computer can only access server programs; the disadvantage is that the IP policy or third-party firewall settings may be tampered with by other programs.
[0004] Existing computerized examination supervision and identification remote control solutions have defects in implementation. Most of them still supervise and analyze the operation of different computer-based examination computers from a single dimension. They are unable to implement local and overall supervision and analysis of the operation of different computer-based examination computers from different dimensions, and push the supervision and analysis results of different dimensions to invigilators in real time. There are problems such as poor diversity and comprehensiveness of computerized examination supervision and identification, and poor effect of active early warning push reminders. Summary of the invention
[0005] The purpose of the present invention is to provide a method for remote control of computerized examination supervision identification, which is used to solve the technical problems of poor diversity and comprehensiveness of computerized examination supervision identification in existing solutions, as well as poor effect of active early warning push reminders.
[0006] The purpose of the present invention can be achieved by the following technical solutions: A method for computerized examination supervision and identification remote control, comprising: Monitor the change status of the hardware ports of all computer-based test computers after they are turned on, and digitally process the change risk coefficient associated with the computer-based test computers to which the hardware port changes belong, as well as dynamically mark and issue early warning prompts; the change risk coefficient is used to monitor the changes in the hardware ports of the computer-based test computers to digitally represent the corresponding change risks; According to the preset supervision cycle, various supervision items in the operation of all computer-based examination computers are supervised, and different aspects of the operation status processing and analysis of various supervision items and their corresponding supervision data are performed, and the first operation risk coefficient and the second operation risk coefficient corresponding to different computer-based examination computers are dynamically processed according to the analysis results; the first operation risk coefficient is used to supervise the total number of monitoring items when the computer-based examination computer is running, so as to digitally represent the corresponding operation risk; the second operation risk coefficient is used to supervise the operation data of all monitoring items when the computer-based examination computer is running, so as to digitally represent the corresponding operation risk; The operational risks of different computer-based examination computers in different supervision cycles are supervised, processed and analyzed, and the risk status of different computer-based examination computers is dynamically marked based on the analysis results, and targeted early warning prompts are implemented for all marked abnormal computer-based examination computers.
[0007] Preferably, all hardware ports of all computer-based test computers are monitored after they start running. If a hardware port changes, a hardware change instruction is generated and the corresponding hardware port is marked as a target port. At the same time, a hardware identifier corresponding to the newly connected hardware after the target port changes is obtained, and the hardware identifier is analyzed through a hardware reliable identification function, and an interface change value BJ corresponding to the target port is output; the interface change value includes a value of 0 or -1; According to the interface change flag with a value of -1, the computer to which the corresponding target port belongs is marked as a computer with abnormal changes, and the computer with abnormal changes is pushed to the supervisor for early warning and processing.
[0008] Preferably, the expression of the hardware reliable device function is ; In the formula, BS is the hardware identifier; US is the standard hardware identifier set.
[0009] Preferably, according to a preset supervision cycle, all supervision items and their corresponding supervision data are obtained when all computer-based examination computers start to run, and different supervision items and their corresponding supervision data during the operation of different computer-based examination computers are input into the operation reliability identification function for data analysis, and the indicator supervision identification GJ corresponding to different supervision items is output; Among them, the expression for running the reliable identification function is ; In the formula, JXi is different regulatory items, JXSi is the regulatory data corresponding to different regulatory items; i is the number of different regulatory items, i=1, 2, 3,..., n; n is a positive integer; UX is the standard set of regulatory items; ui is the standard operating data range corresponding to different regulatory items; the indicator regulatory identifier contains a value of 0 or -1.
[0010] Preferably, all supervision items of the computer-based test computer corresponding to the supervision processing and the indicator supervision identifiers obtained are sorted and combined to obtain the local operation supervision sequence of the corresponding computer-based test computer in the corresponding supervision cycle; Sum and analyze the total number of all elements in the local operation supervision sequence. If the total number of all elements is N, where N is a positive integer, the first operation risk coefficient corresponding to the computer-based test computer is set to 0; If the total number of all elements is not N, the first operation risk coefficient corresponding to the computer-based test computer is set to Y1.
[0011] Preferably, the values of all elements in the local operation supervision sequence are summed and analyzed. If the sum is 0, the local operation normal label is associated with the corresponding computer-based test computer in the corresponding supervision period, and the second operation risk coefficient corresponding to the computer-based test computer is set to 0; If the sum is not 0, the local operation abnormality label will be associated with the computer-based test computer in the corresponding supervision period, and all the supervision items with non-0 values of the computer-based test computer will be marked as traceability supervision items according to the local operation abnormality label, and the operation abnormality of the traceability supervision items will be specifically checked according to the preset verification period; The total number of times M when the regulatory data of the traceability regulatory item during the verification cycle does not fall within the corresponding standard operating data range, and the single duration TY when the regulatory data does not fall within the corresponding standard operating data range are counted, and data analysis is performed through the traceability verification identification function, and the traceability verification value ZH corresponding to the traceability regulatory item is output; the traceability verification value contains the numerical value of a or b; a and b are both positive integers greater than 0.
[0012] Preferably, the second operation coefficient corresponding to the computer-based test computer is set to -1 according to the retrospective verification value with the value a, and the interval time of the subsequent supervision cycle of the computer-based test computer is shortened; According to the traceability verification value of b, the second operating coefficient corresponding to the computer-based test computer is set to Y2.
[0013] Preferably, the expression of the traceability verification identification function is: ; In the formula, M´ is the total number of times the verification standard occurs; TY´ is the total duration of the verification standard.
[0014] Preferably, when supervising the operation risks of different computer-based examination computers in different supervision cycles, the variable risk coefficient, the first operation coefficient and the second operation coefficient corresponding to the different computer-based examination computers are obtained, and the formula Calculate and obtain the risk status FZj corresponding to different computer-based examination computers; where j is a different computer-based examination computer, j=1, 2, 3, ..., m; m is a positive integer; k is 1 or 2, Fkj is F1j or F2j, which represents the variable risk coefficient corresponding to different computer-based examination computers; α, β, η are all calculation weight coefficients, and 0<β≤η<α; A is the standard value of the risk status; and is a rounding-down function.
[0015] Preferably, the computer-based test computer with a risk status of 0 is marked as a normal computer for the computer-based test; The computer-based test computers with a risk status value other than 0 are marked as abnormal computers, and the location coordinates of all abnormal computers are obtained and pushed to the supervisor for early warning.
[0016] Compared with the existing solutions, the present invention achieves the following beneficial effects: The present invention monitors and processes and analyzes the changing states of the hardware ports of all computer examination computers after they are turned on, thereby achieving active supervision and remote control prevention from the hardware port aspect, thereby improving the active supervision and prevention effect of the computer examination computer hardware aspect.
[0017] The present invention supervises various supervision items in the operation of all computer-based examination computers according to a preset supervision cycle, and performs different aspects of operation status processing analysis and digital processing on various supervision items and their corresponding supervision data, thereby realizing different aspects of supervision and operation risk analysis on the operation of computer-based examination computers, and improving the diversity and comprehensiveness of remote control supervision identification when the computer-based examination computers are running.
[0018] The present invention integrates and calculates local supervision analysis data of different aspects of computer-based examination computers, and performs data analysis on the calculation results to dynamically mark and issue early warning prompts for different computer-based examination computers, thereby improving the diversity and comprehensiveness of computerized examination supervision and identification and the effect of active early warning push reminders. BRIEF DESCRIPTION OF THE DRAWINGS
[0019] The present invention will be further described below in conjunction with the accompanying drawings.
[0020] Figure 1 The present invention is a flowchart of a method for computerized examination supervision and identification remote control.
[0021] Figure 2 A flowchart for summing and analyzing the total number of all elements in a local running regulatory sequence in the present invention.
[0022] Figure 3 A flowchart for summing and analyzing the values of all elements in a local running regulatory sequence in the present invention. DETAILED DESCRIPTION
[0023] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.
[0024] like Figure 1 As shown, the present invention is a method for computerized examination supervision and identification remote control, comprising: Monitor the hardware port change status of all computer-based test computers after they are turned on, and digitize, dynamically mark, and issue early warning prompts for the change risk coefficients associated with the computer-based test computers to which the hardware port changes belong; including: Monitor all hardware ports of all computer-based test computers after they start running. Specifically, the hardware ports are USB ports. If the hardware ports change, including but not limited to changes in the connection of the keyboard and mouse, or a new device is connected to the USB port of the computer-based test computer, such as a USB flash drive, this can be achieved based on existing hardware monitoring methods or software monitoring methods. The specific implementation steps are not repeated here. Then, a hardware change instruction is generated and the corresponding hardware port is marked as a target port. At the same time, the hardware identifier corresponding to the newly connected hardware after the target port changes is obtained. The hardware identifier can specifically be a hardware ID or a serial number. The hardware identifier is analyzed through a hardware reliable identification function, and the interface change value BJ corresponding to the target port is output; Among them, the expression of the hardware reliable device function is ; In the formula, BS is the hardware identifier; US is the standard hardware identifier set, which is obtained by combining the hardware identifiers corresponding to all hardware pre-connected to all computer-based test computers and the hardware identifiers corresponding to all prepared hardware; The interface change value contains a value of 0 or -1; An interface change value of 0 indicates that the newly connected hardware is normal after the target port changes, and the change risk factor associated with the computer-based test computer to which the target port belongs is set to F1; An interface change value of -1 indicates that the newly connected hardware is unknown after the target port changes, and the change risk coefficient associated with the computer-based test computer to which the target port belongs is set to F2; the change risk coefficient is used to supervise the hardware port changes of the computer-based test computer to digitally represent the corresponding change risk; F1 and F2 are both constants, and their specific values are not limited. They can be customized according to the application requirements of actual applications; According to the interface change flag with a value of -1, the computer to which the corresponding target port belongs is marked as a computer with abnormal changes, and the computer with abnormal changes is pushed to the supervisor for early warning and processing; In the embodiment of the present invention, by monitoring, processing and analyzing the changing status of the hardware ports of all computer-based examination computers after they are turned on, active supervision and remote control prevention from the hardware port aspect are achieved, thereby improving the effect of active supervision and prevention of the hardware of the computer-based examination computers.
[0025] According to the preset supervision cycle, all supervision items in the operation of all computer-based examination computers are supervised, and different aspects of the operation status processing and analysis of each supervision item and its corresponding supervision data are performed. According to the analysis results, the first operation risk coefficient and the second operation risk coefficient corresponding to different computer-based examination computers are dynamically processed; including: According to the preset supervision cycle, the unit corresponding to the supervision cycle is minutes, that is, supervision is performed every few minutes to reduce the data resource cost and operation pressure generated during the supervision operation. All supervision items and their corresponding supervision data are obtained when all computer-based examination computers start to run. The supervision acquisition can be performed through the task manager when the computer-based examination computer is running. The supervision items can be specifically all the running items in the task manager, and the supervision data can be specifically CPU utilization. Different supervision items and their corresponding supervision data during the operation of different computer-based examination computers are input into the operation reliable identification function for data analysis, and the indicator supervision identification GJ corresponding to different supervision items is output; Among them, the expression for running the reliable identification function is ; In the formula, JXi is different regulatory items, JXSi is the regulatory data corresponding to different regulatory items; i is the number of different regulatory items, i=1, 2, 3, ..., n; n is a positive integer, indicating the total number of all regulatory items; UX is the regulatory item standard set; ui is the standard operating data range corresponding to different regulatory items, and the regulatory item standard set and the standard operating data range corresponding to different regulatory items can be determined based on the standardized test data of the early stage of the computer-based test; The indicator supervision flag contains a value of 0 or -1; An indicator supervision indicator with a value of 0 indicates that the operation status of the supervision item is normal; An indicator supervision flag with a value of -1 indicates that the operating status of the supervision item is abnormal; Sort and combine the indicator supervision identifiers obtained by the corresponding supervision processing of all supervision items of the computer-based examination computer to obtain the local operation supervision sequence of the corresponding computer-based examination computer in the corresponding supervision cycle; In the embodiment of the present invention, by supervising and processing all supervision items of different computer-based examination computers and their corresponding supervision data, the local operation supervision sequence of different computer-based examination computers in the corresponding supervision cycle is obtained, which realizes the monitoring and digital processing of various supervision items during the operation of the computer-based examination computers, thereby providing reliable supervision processing data support for subsequent data analysis in different aspects.
[0026] like Figure 2 As shown, the total number of all elements in the local operation supervision sequence is summed and analyzed. If the total number of all elements is N, where N is a positive integer, the specific value can be determined based on the standardized test data of the computer-based test computer in the early stage, then the first operation risk coefficient corresponding to the computer-based test computer is set to 0; If the total number of all elements is not N, the first operation risk coefficient corresponding to the computer-based test computer is set to Y1; the first operation risk coefficient is used to supervise the total number of monitoring items when the computer-based test computer is running, so as to digitally represent its corresponding operation risk; In the embodiment of the present invention, by performing data analysis from the aspect of the total number of all supervision items, the operation risks corresponding to different computer-based examination computers are determined and the corresponding first operation risk coefficients are digitized, thereby improving the effect of autonomous supervision and analysis of the operation risks of the computer-based examination computers during operation.
[0027] like Figure 3 As shown, the values of all elements in the local operation supervision sequence are summed and analyzed. If the sum is 0, the local operation normal label is associated with the computer-based test computer in the corresponding supervision period, and the second operation risk coefficient corresponding to the computer-based test computer is set to 0; If the sum is not 0, the local operation abnormality label will be associated with the computer-based test computer in the corresponding supervision period, and all the supervision items with non-0 values of the computer-based test computer will be marked as traceability supervision items according to the local operation abnormality label, and the operation abnormality of the traceability supervision items will be specifically verified according to the preset verification period. The unit of the verification period is seconds, which can be 90 seconds; Count the total number of times M when the regulatory data of the traceability regulatory item does not fall within the corresponding standard operating data range during the verification cycle, and the single duration TY when the regulatory data does not fall within the corresponding standard operating data range each time, in seconds, and perform data analysis through the traceability verification identification function, and output the traceability verification value ZH corresponding to the traceability regulatory item; Among them, the expression of the traceability verification identification function is: ; In the formula, M´ is the total number of times the verification standard occurs; TY´ is the total duration of the verification standard, which can be determined based on the standardized test data of the computer-based test computer in the early stage, or based on the historical remote control supervision data of the computer-based test computer; The traceability verification value includes the value of a or b; a and b are both positive integers greater than 0; A traceability verification value of a indicates that the traceability verification status corresponding to the traceability supervision item is normal; A traceability verification value with a value of b indicates that the traceability verification status corresponding to the traceability supervision item is abnormal; According to the retrospective verification value a, the second operation coefficient corresponding to the computer-based examination computer is set to -1, and the interval time of the subsequent supervision cycle of the computer-based examination computer is shortened; The second operation coefficient corresponding to the computer-based test computer is set to Y2 according to the traceability verification value of b; the second operation risk coefficient is used to supervise and process the operation data of all monitoring items when the computer-based test computer is running, so as to digitally represent the corresponding operation risk; In the embodiment of the present invention, various supervision items in the operation of all computer-based examination computers are supervised according to a preset supervision cycle, and different aspects of operation status processing and analysis and digital processing are performed on various supervision items and their corresponding supervision data, thereby realizing different aspects of supervision and operation risk analysis of the operation of computer-based examination computers, and improving the diversity and comprehensiveness of remote control supervision identification when the computer-based examination computers are running.
[0028] The operation risks of different computer-based examination computers in different supervision cycles are supervised and analyzed, and the risk status of different computer-based examination computers is dynamically marked according to the analysis results, and targeted early warning prompts are implemented for all marked abnormal computer-based examination computers; including: When supervising the operation risks of different computer-based examination computers in different supervision cycles, obtain the variable risk coefficient, the first operation coefficient and the second operation coefficient corresponding to different computer-based examination computers, and use the formula Calculate and obtain the risk status FZj corresponding to different computer-based test computers; where j is a different computer-based test computer, j=1, 2, 3, ..., m; m is a positive integer, indicating the total number of all computer-based test computers; k is 1 or 2, Fkj is F1j or F2j, indicating the variable risk coefficient corresponding to different computer-based test computers; α, β, η are all calculation weight coefficients, and 0<β≤η<α, α can be taken as 1.214, β can be taken as 0.833, and η can be taken as 0.557; A is the standard value of the risk status, which can be determined based on the standardized test data of the computer-based test computers in the early stage; is a rounding down function; It should be noted that the risk status is used to integrate and calculate the local supervision and analysis data of different aspects of the computer-based test computer to digitally represent the risk status corresponding to the computer-based test computer; The computer-based test computers with a risk status of 0 are marked as normal computers; The computer-based test computers with a risk status value other than 0 are marked as abnormal computers. The location coordinates of all abnormal computers are obtained and pushed to the supervisors for early warning, so that the supervisors can conduct risk inspections on abnormal computers in a timely and efficient manner.
[0029] In the embodiment of the present invention, the local supervision analysis data of different aspects of the computer-based examination computers are integrated and calculated, and data analysis is performed on the calculation results to dynamically mark and warn different computer-based examination computers, thereby improving the diversity and comprehensiveness of computerized examination supervision and identification and the effect of active warning push reminders.
[0030] In addition, the formulas involved in the above are all dimensionless and numerical calculations. They are a formula that is closest to the actual situation obtained by collecting a large amount of data and simulating it with simulation software.
[0031] In the several embodiments provided by the present invention, it should be understood that the disclosed method can be implemented in other ways. For example, the above-described embodiments of the invention are only illustrative, for example, the division of modules is only a logical function division, and there may be other division methods in actual implementation.
[0032] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, and may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
[0033] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of hardware plus software functional modules.
[0034] It is obvious to a person skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the essential characteristics of the present invention.
[0035] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.
Claims
1. A method for computerized examination supervision and identification remote control, characterized in that: include: Monitor the change status of the hardware ports of all computer-based test computers after they are turned on, and digitally process the change risk coefficient associated with the computer-based test computers to which the hardware port changes belong, as well as dynamically mark and issue early warning prompts; the change risk coefficient is used to monitor the changes in the hardware ports of the computer-based test computers to digitally represent the corresponding change risks; According to the preset supervision cycle, all supervision items in the operation of all computer-based examination computers are supervised, and different aspects of the operation status processing and analysis of various supervision items and their corresponding supervision data are performed, and the first operation risk coefficient and the second operation risk coefficient corresponding to different computer-based examination computers are dynamically processed according to the analysis results; The first operation risk coefficient is used to supervise the total number of monitoring items when the computer-based test computer is running, so as to digitally represent the corresponding operation risk; The second operation risk coefficient is used to supervise and process the operation data of all monitoring items when the computer-based test computer is running, so as to digitally represent the corresponding operation risk; The operational risks of different computer-based examination computers in different supervision cycles are supervised, processed and analyzed, and the risk status of different computer-based examination computers is dynamically marked based on the analysis results, and targeted early warning prompts are implemented for all marked abnormal computer-based examination computers.
2. A method for computerized examination supervision and identification remote control according to claim 1, characterized in that: Monitor all hardware ports of all computer-based test computers after they start running. If the hardware port changes, generate a hardware change instruction and mark the corresponding hardware port as the target port. At the same time, obtain the hardware identifier corresponding to the newly connected hardware after the target port changes, and perform data analysis on the hardware identifier through the hardware reliable identification function, and output the interface change value BJ corresponding to the target port; the interface change value contains a value of 0 or -1; According to the interface change flag with a value of -1, the computer to which the corresponding target port belongs is marked as a computer with abnormal changes, and the computer with abnormal changes is pushed to the supervisor for early warning and processing.
3. A method for computerized examination supervision and identification remote control according to claim 2, characterized in that: The expression of the hardware reliable device function is ; In the formula, BS is the hardware identifier; US is the standard hardware identifier set.
4. A method for computerized examination supervision and identification remote control according to claim 2, characterized in that: According to the preset supervision cycle, all supervision items and their corresponding supervision data are obtained when all computer-based examination computers start to run, and different supervision items and their corresponding supervision data during the operation of different computer-based examination computers are input into the operation reliability identification function for data analysis, and the indicator supervision identification GJ corresponding to different supervision items is output; Among them, the expression for running the reliable identification function is ; In the formula, JXi is different regulatory items, JXSi is the regulatory data corresponding to different regulatory items; i is the number of different regulatory items, i=1, 2, 3,..., n; n is a positive integer; UX is the standard set of regulatory items; ui is the standard operating data range corresponding to different regulatory items; the indicator regulatory identifier contains a value of 0 or -1.
5. A method for computerized examination supervision and identification remote control according to claim 4, characterized in that: Sort and combine the indicator supervision identifiers obtained by the corresponding supervision processing of all supervision items of the computer-based examination computer to obtain the local operation supervision sequence of the corresponding computer-based examination computer in the corresponding supervision cycle; Sum and analyze the total number of all elements in the local operation supervision sequence. If the total number of all elements is N, where N is a positive integer, the first operation risk coefficient corresponding to the computer-based test computer is set to 0; If the total number of all elements is not N, the first operation risk coefficient corresponding to the computer-based test computer is set to Y1.
6. A method for computerized examination supervision and identification remote control according to claim 4, characterized in that: Sum and analyze the values of all elements in the local operation supervision sequence. If the sum is 0, associate the local operation normal label with the corresponding supervision period of the computer-based test computer, and set the second operation risk coefficient corresponding to the computer-based test computer to 0; If the sum is not 0, the local operation abnormality label will be associated with the computer-based test computer in the corresponding supervision period, and all the supervision items with non-0 values of the computer-based test computer will be marked as traceability supervision items according to the local operation abnormality label, and the operation abnormality of the traceability supervision items will be specifically checked according to the preset verification period; The total number of times M when the regulatory data of the traceability regulatory item during the verification cycle does not fall within the corresponding standard operating data range, and the single duration TY when the regulatory data does not fall within the corresponding standard operating data range are counted, and data analysis is performed through the traceability verification identification function, and the traceability verification value ZH corresponding to the traceability regulatory item is output; the traceability verification value contains the numerical value of a or b; a and b are both positive integers greater than 0.
7. A method for computerized examination supervision and identification remote control according to claim 6, characterized in that: According to the retrospective verification value a, the second operation coefficient corresponding to the computer-based examination computer is set to -1, and the interval time of the subsequent supervision cycle of the computer-based examination computer is shortened; According to the traceability verification value of b, the second operating coefficient corresponding to the computer-based test computer is set to Y2.
8. A method for computerized examination supervision and identification remote control according to claim 6, characterized in that: The expression of the traceability verification identification function is: ; In the formula, M´ is the total number of times the verification standard occurs; TY´ is the total duration of the verification standard.
9. A method for computerized examination supervision and identification remote control according to claim 7, characterized in that: When supervising the operation risks of different computer-based examination computers in different supervision cycles, obtain the variable risk coefficient, the first operation coefficient and the second operation coefficient corresponding to different computer-based examination computers, and use the formula Calculate and obtain the risk status FZj corresponding to different computer-based test computers; where j is a different computer-based test computer, j=1, 2, 3, ..., m; m is a positive integer; k is 1 or 2, Fkj is F1j or F2j, which represents the variable risk coefficient corresponding to different computer-based test computers; α, β, η are all calculation weight coefficients, and 0<β≤η<α; A is the standard value of risk status; is the floor function.
10. A method for computerized examination supervision and identification remote control according to claim 9, characterized in that: The computer-based test computers with a risk status of 0 are marked as normal computers; The computer-based test computers with a risk status value other than 0 are marked as abnormal computers, and the location coordinates of all abnormal computers are obtained and pushed to the supervisor for early warning.
Citation Information
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