A prison cell information interaction terminal system

Abstract

The present invention discloses a cell information interaction terminal system, which relates to the technical field of information interaction. The present invention comprises: a cell information acquisition module, a cell behavior analysis and processing unit, a cell personnel mutual monitoring group unit, and a local database. The present invention promptly discovers harmful behaviors committed by detainees in each cell of a prison at each monitoring time point, and analyzes the vital sign data of the detainees, thereby ensuring that timely feedback is provided when the vital sign data of the detainees fluctuate greatly, thereby improving the accuracy of harmful behavior detection and reducing the misjudgment rate of harmful behaviors in the cell. By comprehensively analyzing historical data and behavioral data of the current monitoring time period, the conflict rate between mutual monitoring group members and the shielding rate between mutual monitoring group members are reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of information interaction, and in particular to a prison cell information interaction terminal system. Background Art

[0002] In the traditional prison management model, the transmission and processing of information mainly relies on manual operations and paper documents. This method is inefficient and prone to errors. If prison management personnel cannot grasp the situation inside the cell in real time, they are likely to respond slowly to emergencies, thereby increasing the incidence of harmful behaviors in the cell. Therefore, it is necessary to conduct monitoring interaction in the cell.

[0003] Prior art, such as the invention patent application with announcement number: CN113433598A, discloses a method, device and system for monitoring suicide behavior in prisons. The method includes: this invention arranges grating detectors at high hanging points in the prison, and continuously analyzes whether the grating detectors detect suspicious objects at the high hanging points based on the detection data of the grating detectors. Once a suspicious object is found, it is immediately determined that there is suicide behavior at the high hanging points, thereby effectively preventing prisoners from using high hanging points to hang themselves. In addition, by making full use of the movement patterns of suspicious objects such as ropes and cloth strips used for hanging during the process of hanging, the judgment conditions are increased, and the probability of misjudgment is greatly reduced.

[0004] Existing technology, such as the invention patent application with publication number CN115809763A, discloses a full-cycle management method, system, and computer device for intelligent cell ranking and allocation. The method includes: selecting an optional factor, wherein the optional factor includes an optional factor name N, an optional factor weight y, a maximum number of people X currently accommodated in all cells corresponding to the optional factor, and the actual number of people x in the cell corresponding to the optional factor; selecting target cells from all available cells based on the optional factors; calculating the score Nn corresponding to each optional factor in each target cell; calculating the sum T of the scores of each optional factor accumulated in each target cell; and ranking the target cells by their T values. This invention can address potential problems associated with inefficient, insufficiently intelligent, and irrational cell allocation for detainees.

[0005] As can be seen from the above scheme, the current cell information interaction terminal system lacks a certain degree of attention to the use of surveillance images and vital sign data to intelligently determine whether detainees have engaged in harmful behavior. There are often multiple detainees in the cell, and it is difficult for the prison director to monitor these detainees in real time. As a result, when these detainees engage in harmful behavior, it is impossible to detect it in time. When harmful behavior is performed, the detainees' vital sign data will fluctuate significantly. If the surveillance images and vital sign data are not comprehensively analyzed, it is easy to misjudge the detainees' behavior, thereby increasing the incidence of harmful behavior among detainees. At the same time, there is a lack of attention to the intelligent setting of mutual monitoring groups in the cell. Mutual monitoring groups are often established in the cell to supervise and help each other. However, the existing mutual monitoring group allocation easily assigns detainees with conflicts or close relationships to the same mutual monitoring group, thereby increasing the conflict rate between mutual monitoring group members and the rate of sheltering among mutual monitoring group members. Summary of the Invention

[0006] The purpose of the present invention is to provide a prison cell information interaction terminal system, which solves the problems existing in the background technology.

[0007] In order to solve the above technical problems, the present invention adopts the following technical solution: The present invention provides a cell information interaction terminal system, including: a cell information acquisition module, which is used to obtain the monitoring images of each cell in the prison at each monitoring time point and the characteristic values ​​of each vital sign data of each detainee within the monitoring time period.

[0008] The in-cell behavior analysis and processing unit is used to analyze the behavioral hazard coefficient of each detainee in each cell of the prison at each monitoring time point, and to screen the dangerous detainees and normal detainees in each cell of the prison at each monitoring time point. Warnings are issued to the dangerous detainees in each cell of the prison at each monitoring time point through broadcasting, and the warnings are sent to the prison director.

[0009] The abnormal behavior analysis and processing unit in the cell includes: a cell image analysis module, a behavior hazard analysis module and a behavior hazard processing module.

[0010] The cell image analysis module is used to obtain facial images of each detainee in each cell of the prison from a local database, and extract behavioral images of each detainee in each cell of the prison at each monitoring time point through face recognition technology and based on the surveillance images of each cell of the prison at each monitoring time point.

[0011] The behavior hazard analysis module is used to analyze the behavior hazard coefficient of each detainee in each cell of the prison at each monitoring time point.

[0012] The behavior warning module is used to analyze the abnormal fluctuation coefficient of the vital signs of each detainee in each cell of the prison at each monitoring time point, screen the dangerous detainees and normal detainees in each cell of the prison at each monitoring time point, and warn the dangerous detainees in each cell of the prison at each monitoring time point through broadcasting, and send the warning to the prison director.

[0013] The cell personnel mutual monitoring group grouping unit is used to assign each normal detainee in each cell of the prison to a mutual monitoring group and send the assignment result to the prison director.

[0014] The cell personnel mutual monitoring grouping unit includes: a personnel group hazard analysis module, a cell personnel hazard ranking module, a personnel history grouping analysis module and a mutual monitoring grouping module:

[0015] The personnel group hazard analysis module is used to obtain the location of each normal detainee in each cell of the prison at each monitoring time point, and analyze the group intimacy coefficient between each normal detainee in each cell of the prison and other detainees during the monitoring period.

[0016] The cell occupant hazard ranking module is used to extract the behavioral hazard coefficient of each normal detainee in each cell of the prison at each monitoring time point based on the behavioral hazard coefficient of each detainee in each cell of the prison at each monitoring time point, and obtain the sorted normal detainees in each cell of the prison during the monitoring time period.

[0017] The personnel historical grouping analysis module is used to analyze the historical team hazard coefficients of each normal detainee and each other detainee in each cell of the prison during the monitoring period.

[0018] The mutual monitoring group grouping module is used to allocate each normal detainee in each cell of the prison to a mutual monitoring group, and send the allocation result to the prison director.

[0019] The beneficial effects of the present invention are as follows: (1) The cell information acquisition module of the present invention obtains data information of each cell in the prison, thereby facilitating subsequent analysis.

[0020] (2) The cell behavior analysis and processing unit of the present invention analyzes the surveillance images of each cell belonging to the prison at each monitoring time point to ensure that harmful behaviors committed by each detainee in each cell belonging to the prison at each monitoring time point can be discovered in a timely manner, and analyzes the vital sign data of the detainees to ensure that timely feedback is provided when there are large fluctuations in the vital sign data of the detainees, thereby improving the accuracy of harmful behavior detection and reducing the misjudgment rate of harmful behaviors in the cell.

[0021] (3) The cell inmate mutual monitoring group grouping unit of the present invention can not only assign inmates with a larger behavioral hazard coefficient and inmates with a smaller behavioral hazard coefficient to the same mutual monitoring group by comprehensively analyzing historical data and behavioral data of the current monitoring period, but also assign inmates with fewer conflicts to the same mutual monitoring group, thereby reducing the conflict rate between inmates of the mutual monitoring group, and avoid assigning inmates with relatively close relationships to the same mutual monitoring group, thereby reducing the rate of shielding among inmates of the mutual monitoring group. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] 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.

[0023] Figure 1 Schematic diagram of the system module of the present invention. DETAILED DESCRIPTION

[0024] 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.

[0025] Reference Figure 1 As shown, the present invention provides a cell information interaction terminal system, including: a cell information acquisition module, a cell behavior analysis and processing unit, a cell personnel mutual monitoring grouping unit and a local database.

[0026] It should be noted that the cell information acquisition module is connected to the cell behavior analysis and processing unit, the cell behavior analysis and processing unit is connected to the cell personnel mutual monitoring grouping unit, and the local database is connected to the cell behavior analysis and processing unit and the cell personnel mutual monitoring grouping unit.

[0027] It should also be noted that the local database is used to store facial images of each detainee in each cell of the prison, images of each harmful behavior, initial characteristic values ​​of each vital sign data of each detainee in each cell of the prison, threshold values ​​of abnormal vital sign fluctuation coefficients corresponding to each behavior harm coefficient interval, average values ​​of historical behavior harm coefficients of each normal detainee in each cell of the prison, historical number of teamings and number of malicious incidents between each normal detainee in each cell of the prison and other detainees, initial suitable teaming coefficients of each sorting position, suitable teaming coefficient decrease values ​​corresponding to each historical teaming harm coefficient interval, target suitable teaming coefficient decrease values ​​corresponding to each team intimacy coefficient interval, and set number of people in the mutual monitoring group.

[0028] The cell information acquisition module is used to obtain monitoring images of each cell in the prison at each monitoring time point and characteristic values ​​of each vital sign data of each detainee within the monitoring time period.

[0029] In a specific embodiment, the method for obtaining the surveillance images of each cell in the prison at each monitoring time point and the characteristic values ​​of each vital sign data of each detainee is as follows: obtaining the surveillance images of each cell in the prison at each monitoring time point through an ultra-high-definition camera, and obtaining the characteristic values ​​of each vital sign data of each detainee in each cell in the prison at each monitoring time point through a smart monitoring bracelet worn by the detainees.

[0030] It should be noted that the characteristic values ​​of the various vital sign data include characteristic values ​​of vital sign data such as blood pressure value, blood oxygen value, and respiratory rate.

[0031] The cell information acquisition module of the present invention acquires data information of each cell in a prison, thereby facilitating subsequent analysis.

[0032] The cell behavior analysis and processing unit is used to analyze the behavior hazard coefficient of each detainee in each cell of the prison at each monitoring time point, and screen the dangerous detainees and normal detainees in each cell of the prison at each monitoring time point, and warn the dangerous detainees in each cell of the prison at each monitoring time point through broadcasting, and send the warning to the prison director.

[0033] In a specific embodiment of the present invention, the abnormal behavior analysis and processing unit in the cell includes: a cell image analysis module, a behavior hazard analysis module and a behavior hazard processing module.

[0034] The cell image analysis module is used to obtain facial images of each detainee in each cell of the prison from a local database, and extract behavioral images of each detainee in each cell of the prison at each monitoring time point through face recognition technology and based on the surveillance images of each cell of the prison at each monitoring time point.

[0035] In a specific embodiment, the behavioral images of each detainee in each cell of a prison at each monitoring time point are extracted by a specific extraction method: existing facial recognition technology and behavioral recognition technology are relatively mature. Based on the monitoring images of each cell of a prison at each monitoring time point and based on existing technology, the behavioral images of each detainee in each cell of a prison at each monitoring time point can be extracted.

[0036] The behavior hazard analysis module is used to analyze the behavior hazard coefficient of each detainee in each cell of the prison at each monitoring time point.

[0037] The behavior warning module is used to analyze the abnormal fluctuation coefficient of the vital signs of each detainee in each cell of the prison at each monitoring time point, screen the dangerous detainees and normal detainees in each cell of the prison at each monitoring time point, and warn the dangerous detainees in each cell of the prison at each monitoring time point through broadcasting, and send the warning to the prison director.

[0038] In a specific embodiment of the present invention, the behavioral hazard coefficient of each detainee in each cell of the prison at each monitoring time point is analyzed by a specific analysis method: an image of each harmful behavior is obtained from a local database, and the image is compared with the behavioral image of each detainee in each cell of the prison at each monitoring time point. Through image comparison technology, the similarity between the behavior of each detainee in each cell of the prison at each monitoring time point and each harmful behavior is obtained.

[0039] The target harmful behaviors with the highest similarity among the detainees in each cell of the prison at each monitoring time point are extracted, and their similarity is used as the behavioral harmfulness coefficient, thereby obtaining the behavioral harmfulness coefficient of each detainee in each cell of the prison at each monitoring time point.

[0040] It should be noted that the aforementioned harmful behaviors include: fighting, climbing, hanging and other harmful behaviors.

[0041] It should also be noted that the similarity between the behavior of each detainee in each cell of the prison at each monitoring time point and each harmful behavior is the similarity between the behavior image of each detainee in each cell of the prison at each monitoring time point and the image of each harmful behavior.

[0042] In a specific embodiment of the present invention, the abnormal fluctuation coefficient of the vital signs of each detainee in each cell of the prison at each monitoring time point is analyzed by the following specific analysis method: the initial characteristic value of each vital sign data of each detainee in each cell of the prison is obtained from the local database. , where x represents the number of each cell, , y is a positive integer greater than 2, and n is the number of each detainee , m is a positive integer greater than 2, i represents the number of each sign data, , j is a positive integer greater than 2.

[0043] Based on the characteristic values ​​of each vital sign data of each detainee in each cell of the prison at each monitoring time point , where r represents the number of each monitoring time point, , s is a positive integer greater than 2, calculate the abnormal fluctuation coefficient of the vital signs of each detainee in each cell of the prison at each monitoring time point .

[0044] In a specific embodiment of the present invention, the screening of dangerous detainees and normal detainees in each cell of the prison at each monitoring time point is carried out by a specific screening method: obtaining the threshold value of the abnormal fluctuation coefficient of physical signs corresponding to each behavioral hazard coefficient interval from a local database, and mapping the threshold value of the abnormal fluctuation coefficient of physical signs of each detainee in each cell of the prison at each monitoring time point based on the behavioral hazard coefficient of each detainee in each cell of the prison at each monitoring time point.

[0045] If the abnormal fluctuation coefficient of the vital signs of a detainee in a cell of a prison at each monitoring time point is less than the abnormal fluctuation coefficient threshold, the detainee will be marked as a normal detainee. Otherwise, the detainee will be marked as a dangerous detainee, thereby screening the dangerous detainees and normal detainees in each cell of the prison at each monitoring time point.

[0046] The cell behavior analysis and processing unit of the present invention analyzes the surveillance images of each cell belonging to the prison at each monitoring time point to ensure that harmful behaviors committed by each detainee in each cell belonging to the prison at each monitoring time point can be discovered in a timely manner, and analyzes the vital sign data of the detainees to ensure that timely feedback is provided when there are large fluctuations in the vital sign data of the detainees, thereby improving the accuracy of harmful behavior detection and reducing the misjudgment rate of harmful behaviors in the cell.

[0047] The cell personnel mutual monitoring group grouping unit is used to allocate each normal detainee in each cell of the prison to a mutual monitoring group and send the allocation result to the prison director.

[0048] In a specific embodiment of the present invention, the cell personnel mutual monitoring grouping unit includes: a personnel group hazard analysis module, a cell personnel hazard ranking module, a personnel history group analysis module and a mutual monitoring grouping module:

[0049] The personnel group hazard analysis module is used to obtain the location of each normal detainee in each cell of the prison at each monitoring time point, and analyze the group intimacy coefficient between each normal detainee in each cell of the prison and other detainees during the monitoring period.

[0050] In a specific embodiment, the location of each normal detainee in each cell of the prison at each monitoring time point is obtained by using a smart monitoring bracelet worn by the detainee to obtain the location of each normal detainee in each cell of the prison at each monitoring time point.

[0051] The cell occupant hazard ranking module is used to extract the behavioral hazard coefficient of each normal detainee in each cell of the prison at each monitoring time point based on the behavioral hazard coefficient of each detainee in each cell of the prison at each monitoring time point, and obtain the sorted normal detainees in each cell of the prison during the monitoring time period.

[0052] The personnel historical grouping analysis module is used to analyze the historical team hazard coefficients of each normal detainee and each other detainee in each cell of the prison during the monitoring period.

[0053] The mutual monitoring group grouping module is used to allocate each normal detainee in each cell of the prison to a mutual monitoring group, and send the allocation result to the prison director.

[0054] In a specific embodiment of the present invention, the group intimacy coefficient between each normal detainee and each other detainee in each cell of the prison during the monitoring period is analyzed by a specific analysis method: a normal detainee is randomly selected as the target detainee, thereby obtaining the target detainees and their locations in each cell of the prison at each monitoring time point.

[0055] Based on the positions of other detainees in each cell of the prison at each monitoring time point, the position distance between the target detainee and other detainees in each cell of the prison at each monitoring time point is calculated, thereby calculating the position distance between each normal detainee and other detainees in each cell of the prison at each monitoring time point. , where t represents the number of each normal detainee, , u is a positive integer greater than 2, p represents the number of other prisoners, , q is a positive integer greater than 2, and analyzes the group intimacy coefficient between each normal detainee and other detainees in each cell of the prison during the monitoring period , where s is the number of monitoring time points, u is the number of normal detainees, and q is the number of other detainees.

[0056] In a specific embodiment of the present invention, the method for obtaining the sorted normal detainees in each cell of the prison during the monitoring period is as follows: obtaining the average value of the historical behavior hazard coefficient of each normal detainee in each cell of the prison from the local database. .

[0057] Based on the behavioral hazard coefficient of each normal detainee in each cell of the prison at each monitoring time point Calculate the comprehensive behavioral hazard coefficient of each normal detainee in each cell of the prison during the monitoring period , where e is a natural constant.

[0058] The normal detainees in each cell of the prison are sorted in descending order according to the comprehensive behavior hazard coefficient, so as to obtain the sorted normal detainees in each cell of the prison during the monitoring period.

[0059] In a specific embodiment of the present invention, the analysis of the historical team hazard coefficient of each normal detainee and each other detainee in each cell of the prison during the monitoring period is carried out by obtaining the historical team hazard coefficient of each normal detainee and each other detainee in each cell of the prison from the local database. Number of team-related malicious incidents .

[0060] Analyze the historical team hazard coefficients of normal detainees and other detainees in each cell of the prison during the monitoring period .

[0061] In a specific embodiment of the present invention, the mutual monitoring group assignment of the normal detainees in each cell of the prison is performed, and the specific assignment method is: based on the normal detainees in each cell of the prison after sorting during the monitoring period, the first normal detainee in the sorting of each cell of the prison is extracted, and the other normal detainees in the sorting of each cell of the prison are sorted in reverse order, so as to obtain the sorting positions of the other normal detainees in the cells of the prison after sorting in reverse order.

[0062] The initial suitable teaming coefficients of each ranking position are obtained from the local database, and the initial suitable teaming coefficients of the first ranked normal detainee and other normal detainees in each cell of the prison are mapped.

[0063] Based on the historical team hazard coefficients of each normal detainee and other detainees in each cell of the prison, the historical team hazard coefficients of the normal detainee ranked first in each cell of the prison and other normal detainees are extracted. Based on the group intimacy coefficients of each normal detainee and other detainees in each cell of the prison, the group intimacy coefficients of the normal detainee ranked first in each cell of the prison and other normal detainees are extracted.

[0064] The suitable teaming coefficient reduction values ​​corresponding to each historical teaming hazard coefficient interval and the target suitable teaming coefficient reduction values ​​corresponding to each teaming intimacy coefficient interval are obtained from the local database, and the suitable teaming coefficient reduction values ​​and target suitable teaming coefficient reduction values ​​of the first-ranked normal detainee in each cell of the prison and other normal detainees are mapped.

[0065] The suitable teaming coefficients of the first-ranked normal detainee in each cell of the prison and other normal detainees are calculated, and they are sorted in descending order according to the suitable teaming coefficients, so as to obtain the other normal detainees after the sorting of the first-ranked normal detainee in each cell of the prison.

[0066] The set number of people for the mutual monitoring group is obtained from the local database, and the first-ranked normal detainee and his / her team members in each cell of the prison are selected in order of sorting, and are used as the first group of each cell of the prison, thereby obtaining the normal detainees in the first group of each cell of the prison.

[0067] Based on the comprehensive behavioral hazard coefficients of each normal detainee in each cell of the prison, the comprehensive behavioral hazard coefficients of each normal detainee in the first group of each cell of the prison are extracted, and the normal detainee with the smallest comprehensive behavioral hazard coefficient is selected as the leader of the first group.

[0068] This process continues in this way until all normal detainees in each cell of the prison have been assigned.

[0069] It should be noted that the higher the ranking position, the greater the corresponding initial suitability coefficient for team formation.

[0070] It should be noted that the greater the historical team harm coefficient, the greater the corresponding decrease in the suitable team coefficient; the greater the team intimacy coefficient, the greater the corresponding decrease in the suitable team coefficient.

[0071] In a specific embodiment, the calculation obtains the suitable teaming coefficients of the first-ranked normal detainee in each cell of the prison and all other normal detainees, and the specific calculation method is: subtract the suitable teaming coefficient decrease value and the target suitable teaming coefficient decrease value from the initial suitable teaming coefficients of the first-ranked normal detainee in each cell of the prison and all other normal detainees, so as to obtain the suitable teaming coefficients of the first-ranked normal detainee in each cell of the prison and all other normal detainees.

[0072] The cell inmate mutual monitoring group grouping unit of the present invention, by comprehensively analyzing historical data and behavioral data of the current monitoring time period, can not only assign inmates with a larger behavioral hazard coefficient and inmates with a smaller behavioral hazard coefficient to the same mutual monitoring group, but also assign inmates with fewer conflicts to the same mutual monitoring group, thereby reducing the conflict rate between mutual monitoring group members, and avoid assigning inmates with relatively close relationships to the same mutual monitoring group, thereby reducing the sheltering rate among mutual monitoring group members.

[0073] 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 cell information interaction terminal system, characterized in that: include: The cell information acquisition module is used to obtain the monitoring images of each cell in the prison at each monitoring time point and the characteristic values ​​of each vital sign data of each detainee during the monitoring period; The in-cell behavior analysis and processing unit is used to analyze the behavioral hazard coefficient of each detainee in each cell of the prison at each monitoring time point, and screen the dangerous detainees and normal detainees in each cell of the prison at each monitoring time point. Warnings are then issued to the prison director via broadcast to each dangerous detainee in each cell of the prison at each monitoring time point. The abnormal behavior analysis and processing unit in the cell includes: a cell image analysis module, a behavior hazard analysis module and a behavior hazard processing module; The cell image analysis module is used to obtain facial images of each detainee in each cell of the prison from a local database, and extract behavioral images of each detainee in each cell of the prison at each monitoring time point using facial recognition technology and based on the surveillance images of each cell of the prison at each monitoring time point; The behavior hazard analysis module is used to analyze the behavior hazard coefficient of each detainee in each cell of the prison at each monitoring time point; The behavior warning module is used to analyze the abnormal fluctuation coefficient of the vital signs of each detainee in each cell of the prison at each monitoring time point, screen the dangerous detainees and normal detainees in each cell of the prison at each monitoring time point, and issue warnings to the dangerous detainees in each cell of the prison at each monitoring time point through broadcasting, and send the warnings to the prison director; The specific analysis method for analyzing the behavioral hazard coefficient of each detainee in each cell of the prison at each monitoring time point is as follows: Images of each harmful behavior are obtained from the local database and compared with images of the behavior of each detainee in each cell of the prison at each monitoring time point. Using image comparison technology, the similarity between the behavior of each detainee in each cell of the prison at each monitoring time point and each harmful behavior is obtained; Extract the target harmful behaviors with the highest similarity among the detainees in each cell of the prison at each monitoring time point, and use their similarity as the behavioral harmfulness coefficient, thereby obtaining the behavioral harmfulness coefficient of each detainee in each cell of the prison at each monitoring time point; The cell inmate mutual monitoring group grouping unit is used to assign each normal inmate in each cell of the prison to a mutual monitoring group and send the assignment result to the prison director; The cell personnel mutual monitoring grouping unit includes: a personnel group hazard analysis module, a cell personnel hazard ranking module, a personnel history grouping analysis module and a mutual monitoring grouping module: The group hazard analysis module is used to obtain the location of each normal detainee in each cell of the prison at each monitoring time point, and analyze the group intimacy coefficient between each normal detainee in each cell of the prison and other detainees during the monitoring period; The cell hazard ranking module is used to extract the behavioral hazard coefficient of each normal detainee in each cell of the prison at each monitoring time point based on the behavioral hazard coefficient of each detainee in each cell of the prison at each monitoring time point, and obtain the ranked normal detainees in each cell of the prison during the monitoring time period; The personnel historical grouping analysis module is used to analyze the historical grouping hazard coefficients of each normal detainee and each other detainee in each cell of the prison during the monitoring period; The mutual monitoring group grouping module is used to assign each normal detainee in each cell of the prison to a mutual monitoring group and send the assignment result to the prison director; The analysis is about the group intimacy coefficient between each normal detainee and other detainees in each cell of the prison during the monitoring period. The specific analysis method is as follows: Randomly select a normal detainee as the target detainee, so as to obtain the target detainees and their locations in each cell of the prison at each monitoring time point; Based on the positions of other detainees in each cell of the prison at each monitoring time point, the position distance between the target detainee and other detainees in each cell of the prison at each monitoring time point is calculated, thereby calculating the position distance c between each normal detainee and other detainees in each cell of the prison at each monitoring time point. xrtp , where t represents the number of each normal detainee, t=1,2,...,u, u is a positive integer greater than 2, p represents the number of each other detainee, p=1,2,...,q, q is a positive integer greater than 2, and analyze the group intimacy coefficient of each normal detainee and each other detainee in each cell of the prison during the monitoring period Where s is the number of monitoring time points, u is the number of normal detainees, and q is the number of other detainees; The specific analysis method for analyzing the abnormal fluctuation coefficient of the vital signs of each detainee in each cell of the prison at each monitoring time point is as follows: Obtain the initial characteristic value a of each vital sign data of each detainee in each cell of the prison from the local database xni , where x represents the number of each cell, x = 1, 2, ..., y, y is a positive integer greater than 2, n represents the number of each detainee, n = 1, 2, ..., m, m is a positive integer greater than 2, i represents the number of each vital sign data, i = 1, 2, ..., j, j is a positive integer greater than 2; Based on the characteristic value b of each vital sign data of each detainee in each cell of the prison at each monitoring time point xrni , where r represents the number of each monitoring time point, r=1,2,...,s, s is a positive integer greater than 2, and the abnormal fluctuation coefficient of the vital signs of each detainee in each cell of the prison at each monitoring time point is calculated.

2. A cell information interaction terminal system according to claim 1, characterized in that: The specific screening method for screening dangerous detainees and normal detainees in each cell of the prison at each monitoring time point is as follows: Obtaining from the local database the threshold values ​​of abnormal fluctuation coefficients of vital signs corresponding to each behavioral hazard coefficient interval, and mapping the threshold values ​​of abnormal fluctuation coefficients of vital signs of each detainee in each cell of the prison at each monitoring time point based on the behavioral hazard coefficients of each detainee in each cell of the prison at each monitoring time point; If the abnormal fluctuation coefficient of the vital signs of a detainee in a cell of a prison at each monitoring time point is less than the abnormal fluctuation coefficient threshold, the detainee will be marked as a normal detainee. Otherwise, the detainee will be marked as a dangerous detainee, thereby screening the dangerous detainees and normal detainees in each cell of the prison at each monitoring time point.

3. A cell information interaction terminal system according to claim 1, characterized in that: The specific method for obtaining the sorted normal detainees in each cell of the prison during the monitoring period is as follows: Obtain the average historical behavior hazard coefficient f of each normal detainee in each cell of the prison from the local database xt ; Based on the behavioral hazard coefficient d of each normal detainee in each cell of the prison at each monitoring time point xrt Calculate the comprehensive behavioral hazard coefficient of each normal detainee in each cell of the prison during the monitoring period Where e represents a natural constant; The normal detainees in each cell of the prison are sorted in descending order according to the comprehensive behavior hazard coefficient, so as to obtain the sorted normal detainees in each cell of the prison during the monitoring period.

4. A cell information interaction terminal system according to claim 1, characterized in that: The analysis is about the historical hazard coefficient of each normal detainee and each other detainee in each cell of the prison during the monitoring period. The specific analysis method is as follows: Obtain the historical number of times each normal detainee in each cell of the prison teams up with other detainees from the local database. xtp Number of team-related malicious incidents h xtp ; Analyze the historical team hazard coefficients of normal detainees and other detainees in each cell of the prison during the monitoring period 5. The cell information interaction terminal system according to claim 1, characterized in that: The specific method of assigning the normal detainees in each cell of the prison to the mutual monitoring group is as follows: Based on the normal detainees in the sorted cells of the prison during the monitoring period, extract the first normal detainee in the sorted cells of the prison, and sort the other normal detainees in the sorted cells of the prison in reverse order, thereby obtaining the sorted positions of the other normal detainees in the reverse order of the cells of the prison; Obtaining the initial appropriate teaming coefficients of each ranking position from the local database, and mapping the initial appropriate teaming coefficients of the first ranked normal detainee and other normal detainees in each cell of the prison; Based on the historical team harm coefficients of each normal detainee and other detainees in each cell of the prison, the historical team harm coefficients of the first-ranked normal detainee in each cell of the prison and other normal detainees are extracted. Based on the group intimacy coefficients of each normal detainee and other detainees in each cell of the prison, the group intimacy coefficients of the first-ranked normal detainee in each cell of the prison and other normal detainees are extracted. Obtain from the local database the appropriate teaming coefficient reduction values ​​corresponding to each historical teaming hazard coefficient interval and the target appropriate teaming coefficient reduction values ​​corresponding to each teaming intimacy coefficient interval, and map the appropriate teaming coefficient reduction values ​​and target appropriate teaming coefficient reduction values ​​of the first-ranked normal detainee in each cell of the prison and other normal detainees; Calculate the appropriate teaming coefficients for the first-ranked normal detainee in each cell of the prison and all other normal detainees, and sort them in descending order based on the appropriate teaming coefficients, thereby obtaining the other normal detainees after sorting the first-ranked normal detainee in each cell of the prison; Obtain the set number of people for the mutual monitoring group from the local database, select the first ranked normal detainee and his / her team members in each cell of the prison in order of ranking, and use them as the first group of each cell of the prison, and obtain the normal detainees in the first group of each cell of the prison; Based on the comprehensive behavioral hazard coefficients of all normal detainees in each cell of the prison, extract the comprehensive behavioral hazard coefficients of all normal detainees in the first group of each cell of the prison, and select the normal detainee with the smallest comprehensive behavioral hazard coefficient as the leader of the first group; This process continues in this way until all normal detainees in each cell of the prison have been assigned.

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