A method for remotely controlling computerized examination supervision and identification

Abstract

The present invention discloses a method for remotely controlling computerized examination supervision and identification, belonging to the technical field of monitoring data processing; it is used to solve the technical problems of poor diversity and comprehensiveness in computerized examination supervision and identification in the existing solutions, and poor effect of active warning push and reminder; by supervising, processing and analyzing the change status of hardware ports after all computerized examination computers are powered on, active supervision and remote control prevention are realized from the aspect of hardware ports, improving the active supervision and prevention effect of the hardware of computerized examination computers. According to the preset supervision period, various supervision items during the operation of all computerized examination computers are supervised, and different aspects of the operation status of each supervision item and its corresponding supervision data are processed and analyzed and digitally processed. The local supervision analysis data of different aspects of the computerized examination computers are integrated and calculated, and the calculation results are analyzed to dynamically mark and give warning prompts to different computerized examination computers.

Description

Technical Field

[0001] The present invention relates to the technical field of monitoring data processing, and particularly relates to a method for remotely controlling computerized examination supervision and identification. Background Art

[0002] With the development of information technology, many paper-and-pencil-based examinations have been converted to computer-based examinations. The obvious advantages of computer-based examinations are: fast data distribution and recovery, automatic scoring and efficient marking, and reduced costs for paper printing, transportation, and answer sheet scanning.

[0003] However, an important challenge faced by computer-based examinations based on IT technology is how to prevent cheating using remote control software. Remote control software is programs such as Sunflower, TeamViewer, ToDesk, etc., which allow a gunman to remotely control the examinee's computer, equivalent to remote proxy examination - this will seriously damage the fairness of the examination. The common ways to solve this problem are: establishing a blacklist of remote control software, and processes on the blacklist will be forcibly closed; the defect is that it cannot prevent remote control software outside the blacklist; through IP policies or third-party firewalls, the examinee's computer can only access server programs; the defect 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 still conduct supervision and analysis of the operation of different computer-based examination computers from a single dimension, and cannot conduct partial supervision and analysis 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 the invigilator in real time. There are problems with poor diversity and comprehensiveness of computerized examination supervision and identification, and poor effect of active warning push and reminder. Summary of the Invention

[0005] The purpose of the present invention is to provide a method for remotely controlling computerized examination supervision and identification, which is used to solve the technical problems of poor diversity and comprehensiveness of computerized examination supervision and identification in existing solutions, and poor effect of active warning push and reminder.

[0006] The purpose of the present invention can be achieved by the following technical solutions:

[0007] A method for remotely controlling computerized examination supervision and identification includes:

[0008] Supervise the change status of the hardware ports of all computer-based examination computers after startup, and digitally process, dynamically mark, and give early warning prompts to the change risk coefficient associated with the computer-based examination computer to which the hardware port change belongs; the change risk coefficient is used to supervise and process the change of the hardware ports of the computer-based examination computer to digitally represent the corresponding change risk;

[0009] 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;

[0010] 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.

[0011] 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;

[0012] 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.

[0013] 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.

[0014] 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;

[0015] 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.

[0016] Preferably, sort and combine the index supervision identifiers obtained by corresponding supervision processing of all supervision items of the computer-based examination computer to obtain the local operation supervision sequence of the computer-based examination computer in the corresponding supervision period;

[0017] Sum and analyze the total number of all elements in the local operation supervision sequence. If the total number of all elements is N, and N is a positive integer, then set the first operation risk coefficient corresponding to the computer-based examination computer to 0;

[0018] If the total number of all elements is not N, then set the first operation risk coefficient corresponding to the computer-based examination computer to Y1.

[0019] Preferably, sum and analyze the values of all elements in the local operation supervision sequence. If the sum value of the sum is 0, then associate the local operation normal label with the computer-based examination computer in the corresponding supervision period, and set the second operation risk coefficient corresponding to the computer-based examination computer to 0;

[0020] If the sum value of the sum is not 0, then associate the local operation abnormal label with the computer-based examination computer in the corresponding supervision period, mark all supervision items with non-zero values of the computer-based examination computer as traceable supervision items according to the local operation abnormal label, and perform targeted verification of operation anomalies on the traceable supervision items according to the preset verification period;

[0021] Statistically count the total number of times M when the supervised data of the traceable supervision item does not belong to the corresponding standard operation data range within the verification period, and the single continuous duration TY each time the supervised data does not belong to the corresponding standard operation data range, and perform data analysis through the traceability verification identification function, and output the traceability verification value ZH corresponding to the traceable supervision item; the traceability verification value includes numerical values of a or b; both a and b are positive integers greater than 0.

[0022] Preferably, set the second operation coefficient corresponding to the computer-based examination computer to -1 according to the traceability verification value with the value of a, and at the same time shorten the interval duration of the subsequent supervision period of the computer-based examination computer;

[0023] Set the second operation coefficient corresponding to the computer-based examination computer to Y2 according to the traceability verification value with the value of b.

[0024] Preferably, the expression of the traceability verification identification function is ; in the formula, M´ is the total number of standard times of verification; TY´ is the total continuous duration of standard verification.

[0025] Preferably, when supervising and processing the operation risks of different computer-based examination computers in different supervision periods, obtain the variable risk coefficients, first operation coefficients and second operation coefficients corresponding to different computer-based examination computers, and through the formula Calculate and obtain the risk status degree FZj corresponding to different computer-based examination computers; where j represents different computer-based examination computers, j = 1, 2, 3, ……, m; m is a positive integer; k is 1 or 2, and Fkj is F1j or F2j, representing the variable risk coefficient corresponding to different computer-based examination computers; α, β, and η are all calculation weight coefficients, and 0 < β ≤ η < α; A is the risk status standard value; is the floor function.

[0026] Preferably, mark the computer-based examination computers with a risk status degree of 0 as normal computer-based examination computers;

[0027] Mark the computer-based examination computers with a non-zero risk status degree as abnormal computer-based examination computers, obtain the position coordinates of all abnormal computer-based examination computers and push them to the supervisors for early warning.

[0028] Compared with the existing solutions, the beneficial effects achieved by the present invention are:

[0029] By supervising, processing, and analyzing the change status of the hardware ports of all computer-based examination computers after startup, the present invention realizes active supervision and remote control prevention from the aspect of hardware ports, and improves the active supervision and prevention effect of the hardware of computer-based examination computers.

[0030] The present invention supervises all supervision items during the operation of all computer-based examination computers according to a preset supervision period, and conducts operation status processing and analysis and digital processing on each supervision item and its corresponding supervision data in different aspects, realizing different aspects of supervision and operation risk analysis during the operation of computer-based examination computers, and improving the diversity and comprehensiveness of remote control supervision and identification during the operation of computer-based examination computers.

[0031] By integrating and calculating the local supervision analysis data of different aspects of computer-based examination computers and analyzing the calculation results to dynamically mark and give early warning prompts for different computer-based examination computers, the present invention improves the diversity and comprehensiveness of computerized examination supervision and identification and the effect of active early warning push and reminder. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The present invention will be further described below with reference to the accompanying drawings.

[0033] Figure 1 It is a flowchart of a method for remote control of computerized examination supervision and identification according to the present invention.

[0034] Figure 2 It is a flowchart for summing up and analyzing the total number of all elements in the local operation supervision sequence according to the present invention.

[0035] Figure 3 It is a flowchart for summing up and analyzing the values of all elements in the local operation supervision sequence according to the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0036] Next, in combination with the accompanying drawings in the embodiments of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts belong to the scope of protection of the present invention.

[0037] As Figure 1 shown, the present invention is a method for remote control of computerized examination supervision and identification, including:

[0038] Supervise the change status of the hardware ports of all computer-based examination computers after startup, and digitally process, dynamically mark, and give early warning prompts to the change risk coefficients associated with the computer-based examination computers to which the hardware port changes belong; including:

[0039] Monitor all hardware ports of all computer-based examination computers after they start running. The hardware ports are specifically USB ports. If the hardware ports change, specifically including but not limited to changes in the connection of the keyboard and mouse, or new devices are connected to the USB ports of the computer-based examination computers, such as USB flash drives, it can be achieved based on existing hardware monitoring means or software monitoring means. The specific implementation steps are not elaborated here. Then, generate a hardware change instruction, mark the corresponding hardware port as the target port, and at the same time obtain the hardware identifier corresponding to the newly connected hardware after the target port changes. The hardware identifier can specifically be a hardware ID or a serial number, and perform data analysis on the hardware identifier through a hardware reliable identification function, and output the interface change value BJ corresponding to the target port;

[0040] 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 according to the hardware identifiers corresponding to all the hardware pre-connected to all computer-based examination computers and the combination of the hardware identifiers corresponding to all the prepared hardware;

[0041] The interface change value includes a value of 0 or -1.

[0042] The interface change value with a value of 0 indicates that the newly connected hardware after the target port changes is normal, and set the change risk coefficient associated with the computer-based examination computer to which the target port belongs to F1;

[0043] The interface change value with a value of -1 indicates that the newly connected hardware after the target port changes is unknown, and set the change risk coefficient associated with the computer-based examination computer to which the target port belongs to F2; the change risk coefficient is used to supervise and process the hardware port changes of the computer-based examination computer to digitally represent the corresponding change risks;

[0044] Both F1 and F2 are constants, and their specific values are not restricted and can be customized according to the application requirements of the actual application scenario.

[0045] Based on the interface change identifier with a value of -1, mark the computer to which the corresponding target port belongs as an abnormally changed computer, and push the abnormally changed computer to the supervisor for early warning and handling.

[0046] In the embodiment of the present invention, by supervising, processing, and analyzing the hardware port change status after all computer-based examination computers are powered on, active supervision and remote control prevention are realized from the aspect of hardware ports, improving the active supervision and prevention effect of the hardware of computer-based examination computers.

[0047] Supervise various supervision items during the operation of all computer-based examination computers according to the preset supervision period, and perform operation status processing and analysis on various supervision items and their corresponding supervision data in different aspects. Dynamically process the first operation risk coefficient and the second operation risk coefficient corresponding to different computer-based examination computers according to the analysis results, including:

[0048] According to the preset supervision period, the unit corresponding to the supervision period is minutes, that is, supervision is carried out every few minutes to reduce the data resource cost and operation pressure generated during supervision operation. Obtain all supervision items and their corresponding supervision data during the operation of all computer-based examination computers, which can be supervised and obtained through the task manager when the computer-based examination computer is running. The specific supervision items can be all running items in the task manager, and the specific supervision data can be the CPU utilization rate. Input the different supervision items and their corresponding supervision data during the operation of different computer-based examination computers into the operation reliability recognition function for data analysis, and output the index supervision identifier GJ corresponding to different supervision items.

[0049] Among them, the expression of the operation reliability recognition function is ; in the formula, JXi is different supervision items, JXSi is the supervision data corresponding to different supervision items; i is the number of different supervision items, i = 1, 2, 3,..., n; n is a positive integer representing the total number of all supervision items; UX is the supervision item standard set; ui is the standard operation data range corresponding to different supervision items. The supervision item standard set and the standard operation data range corresponding to different supervision items can both be determined according to the standardized test data of the computer-based examination computer in the early stage.

[0050] The index supervision identifier includes a value of 0 or -1.

[0051] The index supervision identifier with a value of 0 indicates that the operation status of the supervised item is normal.

[0052] The index supervision identifier with a value of -1 indicates that the operation status of the supervised item is abnormal.

[0053] Sort and combine the metric supervision identifiers obtained for all supervision items corresponding to the computer-based examination computer to obtain the local operation supervision sequence of the computer-based examination computer in the corresponding supervision period;

[0054] In the embodiments of the present invention, by supervising and processing and combining all supervision items and their corresponding supervision data of different computer-based examination computers, the local operation supervision sequences of different computer-based examination computers in the corresponding supervision period are obtained, realizing the supervision and digital processing of each supervision item during the operation of the computer-based examination computer, and thus providing reliable supervision processing data support for subsequent data analysis in different aspects.

[0055] Such as Figure 2 shown, 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, and the specific value can be determined according to the standardized test data of the computer-based examination computer in the early stage, then set the first operation risk coefficient corresponding to the computer-based examination computer to 0;

[0056] If the total number of all elements is not N, then set the first operation risk coefficient corresponding to the computer-based examination computer to Y1; the first operation risk coefficient is used to supervise and process the total number of monitoring items during the operation of the computer-based examination computer to digitally represent the corresponding operation risk;

[0057] In the embodiments of the present invention, by performing data analysis from the aspect of the total number of all supervision items, determining the operation risks corresponding to different computer-based examination computers and performing digital processing of the corresponding first operation risk coefficients, the autonomous supervision and analysis effect of the operation risks during the operation of the computer-based examination computer is improved.

[0058] Such as Figure 3 shown, sum and analyze the values of all elements in the local operation supervision sequence. If the sum value of the sum is 0, then associate the local operation normal label with the computer-based examination computer in the corresponding supervision period, and set the second operation risk coefficient corresponding to the computer-based examination computer to 0;

[0059] If the sum value of the sum is not 0, then associate the local operation abnormal label with the computer-based examination computer in the corresponding supervision period, and mark all supervision items with non-zero values of the computer-based examination computer as traceable supervision items according to the local operation abnormal label, and perform targeted verification of the operation abnormality on the traceable supervision items according to the preset verification period. The unit of the verification period is seconds, and specifically it can be 90 seconds;

[0060] Statistical total number M of times when the supervision data of the traceable supervision items does not belong to the corresponding standard operation data range within the verification period, and the single continuous duration TY when each supervision data does not belong to the corresponding standard operation data range, with the unit of seconds, and perform data analysis through the trace verification identification function, and output the trace verification value ZH corresponding to the traceable supervision items;

[0061] Among them, the expression of the trace verification recognition function is ; in the formula, M´ is the total standard number of times of verification; TY´ is the total standard continuous duration of verification, which can be determined according to the standardized test data of the computer for computer-based examinations in the early stage, or can be determined according to the historical remote control supervision data of the computer for computer-based examinations;

[0062] The trace verification value includes a numerical value of a or b; both a and b are positive integers greater than 0;

[0063] The trace verification value with a numerical value of a indicates that the trace verification status corresponding to the trace supervision item is normal;

[0064] The trace verification value with a numerical value of b indicates that the trace verification status corresponding to the trace supervision item is abnormal;

[0065] According to the trace verification value with a numerical value of a, the second operation coefficient corresponding to the computer for computer-based examinations is set to -1, and at the same time, the interval duration of the subsequent supervision period of the computer for computer-based examinations is shortened;

[0066] According to the trace verification value with a numerical value of b, the second operation coefficient corresponding to the computer for computer-based examinations is set to Y2; the second operation risk coefficient is used to supervise and process the operation data of all monitoring items during the operation of the computer for computer-based examinations, so as to digitally represent the corresponding operation risk;

[0067] In the embodiment of the present invention, according to the preset supervision period, various supervision items during the operation of all computers for computer-based examinations are supervised, and different aspects of operation status processing analysis and digital processing are performed on each supervision item and its corresponding supervision data, realizing different aspects of supervision and operation risk analysis during the operation of the computer for computer-based examinations, and improving the diversity and comprehensiveness of remote control supervision recognition during the operation of the computer for computer-based examinations.

[0068] Supervise and process and analyze the operation risks of different computers for computer-based examinations during different supervision periods, and dynamically mark the risk status corresponding to different computers for computer-based examinations according to the analysis results, and implement targeted early warning prompts for all marked abnormal computers for computer-based examinations; including:

[0069] When supervising and processing the operation risks of different computers for computer-based examinations during different supervision periods, obtain the variable risk coefficient, the first operation coefficient and the second operation coefficient corresponding to different computers for computer-based examinations, and through the formula Calculate and obtain the risk status degree FZj corresponding to different computer-based examination computers; where j represents different computer-based examination computers, j = 1, 2, 3, ……, m; m is a positive integer representing the total number of all computer-based examination computers; k is 1 or 2, and Fkj is F1j or F2j, representing the variable risk coefficient corresponding to different computer-based examination computers; α, β, and η are all calculation weight coefficients, and 0 < β ≤ η < α, α can take the value of 1.214, β can take the value of 0.833, and η can take the value of 0.557; A is the risk status standard value, which can be determined according to the standardized test data of the computer-based examination computers in the early stage; is the floor function;

[0070] It should be noted that the risk status degree is used to integrate and calculate the local supervision analysis data of different aspects of the computer-based examination computer to digitally represent the risk status corresponding to the computer-based examination computer.

[0071] Mark the computer-based examination computer with a risk status degree of 0 as a normal computer for computer-based examinations.

[0072] Mark the computer-based examination computer with a non-zero risk status degree as an abnormal computer for computer-based examinations, obtain the position coordinates of all abnormal computers for computer-based examinations and push them to the supervisors for early warning prompts, so that the supervisors can timely and efficiently conduct risk investigations on the abnormal computers for computer-based examinations.

[0073] In the embodiments of the present invention, by integrating and calculating the local supervision analysis data of different aspects of the computer-based examination computer and performing data analysis on the calculation results, dynamic marking and early warning prompts are performed on different computer-based examination computers, improving the diversity and comprehensiveness of computerized examination supervision identification and the effect of active early warning push and reminder.

[0074] In addition, the formulas involved above are all calculated by removing the dimension and taking their numerical values, and are a formula obtained by collecting a large amount of data and simulating through software to be closest to the actual situation.

[0075] In 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 merely illustrative. For example, the division of modules is only a logical function division, and there may be other division methods in actual implementation.

[0076] 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. They can be located in one place or distributed to multiple network modules. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0077] In addition, in each embodiment of the present invention, each functional module can be integrated into a processing module, or each module can exist physically alone, or two or more modules can be integrated into one module. The above integrated module can be implemented in the form of hardware, or in the form of a combination of hardware and software functional modules.

[0078] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above-described exemplary embodiments, and without departing from the basic characteristics of the present invention, the present invention can be implemented in other specific forms.

[0079] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for computerized examination supervision and identification remote control, characterized in that: include: Monitor the hardware port change status of all computer-based test computers after they are turned on, and digitize 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; 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; The second operation risk coefficient is used to supervise and process the operation data of all monitoring items when the computer-based examination computer is running; 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 supervision data of the traceability supervision item does not belong to the corresponding standard operation data range during the verification cycle, as well as the single duration TY when the supervision data does not belong to the corresponding standard operation data range each time, are counted, and data analysis is performed through the traceability verification identification function, and the traceability verification value ZH corresponding to the traceability supervision item is output; 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; the retrospective verification value contains the value of a or b; a and b are both positive integers greater than 0; 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 retrospective verification value of b, the second operation coefficient corresponding to the computer-based test computer is set to Y2; The operation risks of different computer-based examination computers in different supervision cycles are supervised and processed, and the change risk coefficient, first operation coefficient and second operation coefficient of different computer-based examination computers are analyzed. The risk status corresponding to 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.

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 1, 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.

7. A method for computerized examination supervision and identification remote control according to claim 6, 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.

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