Monitor room information interaction terminal system

Abstract

The invention discloses a prison room information interaction terminal system, which relates to the technical field of information interaction and comprises a prison room information acquisition module, a prison room internal behavior analysis and processing unit, a prison room personnel mutual monitoring grouping unit and a local database, according to the method and the system, the hazardous behaviors made by the prisoners at the monitoring time points in the monitoring rooms of the prisons are found in time, and the physical sign data of the prisoners are analyzed, so that the physical sign data of the prisoners are ensured to be fed back in time when the physical sign data of the prisoners fluctuate greatly, the detection accuracy of the hazardous behaviors is improved, and the safety of the prisoners is improved. The method reduces the misjudgment rate of the harmful behaviors in the prison, and comprehensively analyzes the historical data and the behavior data in the current monitoring time period, thereby reducing the conflict rate between the members of the mutual monitoring group, and reducing the sheltering rate between the members of the mutual monitoring group.

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 managers 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 applied to prisons, the method comprising: 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, and also makes full use of the movement laws of suspicious objects such as ropes and cloth strips used for hanging during the process of hanging, thereby increasing the judgment conditions and greatly reducing the probability of misjudgment.

[0004] Prior art, such as the invention patent application with announcement number: CN115809763A, discloses a full-cycle management method, system and computer equipment for intelligent allocation of cell sorting, the method includes: selecting optional factors, the optional factors include optional factor name N, optional factor weight y, the maximum number of people X accommodated in all cells corresponding to the optional factors, and the actual number of people x in the cells corresponding to the optional factors; selecting optional target cells according to the optional factors in all optional cells; calculating the score Nn of each optional factor corresponding to each optional target cell; calculating the sum of the scores T of each optional factor accumulated in each optional target cell; sorting the T values ​​of the optional target cells. This invention can solve the hidden dangers caused by low efficiency, lack of intelligence, and unreasonable allocation of cells for detainees.

[0005] It can be seen from the above scheme that the current cell information interaction terminal system lacks certain attention to the use of monitoring images and vital signs data to intelligently determine whether the detainees have harmful behaviors. There are often multiple detainees in the cell, and it is difficult for the prison director to monitor these detainees in real time, resulting in the inability to timely discover when these detainees commit harmful behaviors, and when they commit harmful behaviors, the vital signs data of the detainees will fluctuate significantly. If there is no comprehensive analysis of the monitoring images and vital signs data, it is easy to misjudge the behavior of the detainees, thereby increasing the incidence of harmful behaviors of the 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 set up in the cell to supervise and help each other. However, the existing mutual monitoring group allocation is easy to allocate detainees with conflicts or close relationships to the same mutual monitoring group, thereby increasing the conflict rate between mutual monitoring group members and increasing the sheltering rate between mutual monitoring group members. Summary of the invention

[0006] The purpose of the present invention is to provide a 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 solutions: The present invention provides a cell information interaction terminal system, including: a cell information acquisition module, which 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 a monitoring time period.

[0008] The behavior analysis and processing unit in the cell is used to analyze the behavior hazard coefficient of each detainee in each cell of the prison at each monitoring time point, and to screen the harmful detainees and normal detainees in each cell of the prison at each monitoring time point, and to warn the harmful detainees in each cell of the prison at each monitoring time point through broadcasting, and send the warning 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 the facial images of each detainee in each cell of the prison from the local database, and extract the behavioral images of each detainee in each cell of the prison at each monitoring time point through face recognition technology and based on the monitoring 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, warn the dangerous detainees in each cell of the prison at each monitoring time point through broadcasting, and send it to the prison director.

[0013] 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.

[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: 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.

[0015] The cell personnel 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 normal detainees in each cell of the prison after sorting during the monitoring time period.

[0016] 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.

[0017] 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.

[0018] The beneficial effects of the present invention are as follows: (1) The cell information acquisition module of the present invention acquires data information of each cell in a prison, thereby facilitating subsequent analysis.

[0019] (2) The cell behavior analysis and processing unit of the present invention analyzes the surveillance images of each cell of the prison at each monitoring time point to ensure that harmful behaviors committed by each detainee in each cell of 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.

[0020] (3) The cell inmate mutual monitoring group grouping unit of the present invention can not only allocate 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 allocate inmates with fewer conflicts to the same mutual monitoring group, thereby reducing the conflict rate between mutual monitoring group members, and avoid allocating inmates with relatively close relationships to the same mutual monitoring group, thereby reducing the rate of shielding among mutual monitoring group members. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. 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 creative work.

[0022] Figure 1 It is a schematic diagram of the system module of 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] 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 group unit and a local database.

[0025] 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.

[0026] 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 vicious 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 reduction values ​​corresponding to each historical teaming harm coefficient interval, target suitable teaming coefficient reduction values ​​corresponding to each team intimacy coefficient interval, and set number of people in the mutual monitoring group.

[0027] 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.

[0028] In a specific embodiment, 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 are obtained by a specific method: the monitoring images of each cell in the prison at each monitoring time point are obtained by using an ultra-high-definition camera, and the characteristic values ​​of each vital sign data of each detainee in each cell in the prison at each monitoring time point are obtained by using a smart monitoring bracelet worn by the detainees.

[0029] 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.

[0030] The cell information acquisition module of the present invention acquires data information of each cell in a prison, thereby facilitating subsequent analysis.

[0031] The in-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 each harmful detainee and each normal detainee in each cell of the prison at each monitoring time point, and warn each harmful detainee in each cell of the prison at each monitoring time point through broadcasting, and send the warning to the prison director.

[0032] 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.

[0033] The cell image analysis module is used to obtain the facial images of each detainee in each cell of the prison from the local database, and extract the behavioral images of each detainee in each cell of the prison at each monitoring time point through face recognition technology and based on the monitoring images of each cell of the prison at each monitoring time point.

[0034] 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 as follows: the existing face recognition technology and behavior recognition technology are relatively mature. Based on the monitoring images of each cell of a prison at each monitoring time point and based on the existing technology, the behavioral images of each detainee in each cell of a prison at each monitoring time point can be extracted.

[0035] 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.

[0036] 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, warn the dangerous detainees in each cell of the prison at each monitoring time point through broadcasting, and send it to the prison director.

[0037] In a specific embodiment of the present invention, the behavior hazard coefficient of each detainee in each cell of the prison at each monitoring time point is analyzed, and the specific analysis method is: obtaining an image of each harmful behavior from a local database, and comparing it with the behavior image of each detainee in each cell of the prison at each monitoring time point, and obtaining the similarity between the behavior of each detainee in each cell of the prison at each monitoring time point and each harmful behavior through image comparison technology.

[0038] 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, so as to obtain the behavioral harmfulness coefficient of each detainee in each cell of the prison at each monitoring time point.

[0039] It should be noted that the aforementioned harmful behaviors include: fighting, climbing, hanging and other harmful behaviors.

[0040] 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.

[0041] 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, and the specific analysis method is: obtaining the initial characteristic value of each vital sign data of each detainee in each cell of the prison 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.

[0042] 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, 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 .

[0043] 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, the specific screening method is: obtaining the abnormal physical sign fluctuation coefficient threshold value corresponding to each behavior hazard coefficient interval from the local database, and mapping the abnormal physical sign fluctuation coefficient threshold value of each detainee in each cell of the prison at each monitoring time point according to the behavior hazard coefficient of each detainee in each cell of the prison at each monitoring time point.

[0044] 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.

[0045] The cell behavior analysis and processing unit of the present invention analyzes the monitoring 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 time, and analyzes the vital sign data of the detainees to ensure that feedback is given in time when there is a large fluctuation 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.

[0046] 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.

[0047] 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 grouping analysis module and a mutual monitoring grouping module: 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.

[0048] In a specific embodiment, the location of each normal detainee in each cell of the prison at each monitoring time point is obtained by a specific method: the location of each normal detainee in each cell of the prison at each monitoring time point is obtained through a smart monitoring bracelet worn by the detainees.

[0049] The cell personnel 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 normal detainees in each cell of the prison after sorting during the monitoring time period.

[0050] 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.

[0051] 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.

[0052] 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, and the specific analysis method is: randomly selecting a normal detainee as the target detainee, so as to obtain the target detainees and their positions in each cell of the prison at each monitoring time point.

[0053] According to 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 detainees, , q is a positive integer greater than 2, and the group intimacy coefficient between each normal detainee and other detainees in each cell of the prison during the monitoring period is analyzed , where s is the number of monitoring time points, u is the number of normal detainees, and q is the number of other detainees.

[0054] 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. .

[0055] Based on the behavioral hazard coefficient of each normal detainee in each cell of the prison at each monitoring time point , calculate the comprehensive behavior hazard coefficient of each normal detainee in each cell of the prison during the monitoring period , where e is represented by a natural constant.

[0056] 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.

[0057] In a specific embodiment of the present invention, the historical team hazard coefficient of each normal detainee and each other detainee in each cell of the prison during the monitoring period is analyzed, and the specific analysis method is: the historical team times of each normal detainee and each other detainee in each cell of the prison are obtained from the local database. Number of malicious incidents with the team .

[0058] Analyze the historical team hazard coefficients of normal detainees and other detainees in each cell of the prison during the monitoring period .

[0059] In a specific embodiment of the present invention, the mutual monitoring group assignment of 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.

[0060] The initial suitable teaming coefficient of each ranking position is 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.

[0061] 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 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.

[0062] 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 the target suitable teaming coefficient reduction values ​​of the first-ranked normal detainee and other normal detainees in each cell of the prison are mapped.

[0063] The suitable teaming coefficients of the first-ranked normal detainee and other normal detainees in each cell of the prison 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 first-ranked normal detainee in each cell of the prison is sorted.

[0064] The set number of people for the mutual monitoring group is obtained from the local database, and the first ranked normal detainees and their team members in each cell of the prison are selected in sequence according to the sorting order, and they are used as the first group of each cell of the prison, and the normal detainees in the first group of each cell of the prison are obtained.

[0065] According to 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 taken as the leader of the first group.

[0066] And so on, until all the normal inmates in each cell of the prison have been assigned.

[0067] It should be noted that the higher the ranking position, the greater the corresponding initial suitability coefficient for team formation.

[0068] 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.

[0069] In a specific embodiment, the calculation obtains the suitable teaming coefficients of the first-ranked normal detainee and other normal detainees in each cell of the prison, 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 and other normal detainees in each cell of the prison, so as to obtain the suitable teaming coefficients of the first-ranked normal detainee and other normal detainees in each cell of the prison.

[0070] The cell inmate mutual monitoring group grouping unit of the present invention can not only allocate 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 time period, but also allocate inmates with fewer conflicts to the same mutual monitoring group, thereby reducing the conflict rate between mutual monitoring group members, and avoids allocating inmates with relatively close relationships to the same mutual monitoring group, thereby reducing the rate of shielding between mutual monitoring group members.

[0071] 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 specific embodiments described 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 shall all fall within the protection scope 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 within the monitoring period; The behavior analysis and processing unit in the cell 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 harmful detainees and normal detainees in each cell of the prison at each monitoring time point, and warn the harmful detainees in each cell of the prison at each monitoring time point through broadcasting, and send it to the person in charge of the prison; 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.

2. According to claim 1, a cell information interaction terminal system is characterized in that: The abnormal behavior analysis and processing unit of 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 the facial images of each detainee in each cell of the prison from the local database, and extract the behavioral images of each detainee in each cell of the prison at each monitoring time point based on the monitoring images of each cell of the prison at each monitoring time point through face recognition technology; 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, warn the dangerous detainees in each cell of the prison at each monitoring time point through broadcasting, and send it to the prison director.

3. A cell information interaction terminal system according to claim 2, characterized in that: 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: Obtain images of each harmful behavior from the local database, and compare them with the behavior images of each detainee in each cell of the prison at each monitoring time point. By using image comparison technology, obtain the similarity between the behavior of each detainee in each cell of the prison at each monitoring time point and each harmful behavior; 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, so as to obtain the behavioral harmfulness coefficient of each detainee in each cell of the prison at each monitoring time point.

4. A cell information interaction terminal system according to claim 2, characterized in that: The specific analysis method for analyzing the abnormal fluctuation coefficient of the physical signs of each detainee in each cell of the prison at each monitoring time point is as follows: Obtain the initial characteristic values ​​of each vital sign data of each detainee in each cell of the prison 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; 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, 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 .

5. The cell information interaction terminal system according to claim 2 is characterized in that: The specific screening method for screening the dangerous detainees and normal detainees in each cell of the prison at each monitoring time point is as follows: Obtain the threshold value of abnormal fluctuation coefficient of physical signs corresponding to each behavior hazard coefficient interval from the local database, and map the threshold value of abnormal fluctuation coefficient of physical signs of each detainee in each cell of the prison at each monitoring time point according to the behavior hazard coefficient 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.

6. A cell information interaction terminal system according to claim 4, characterized in that: 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 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; The cell personnel hazard ranking module is used to extract the behavioral hazard coefficients of each normal detainee in each cell of the prison at each monitoring time point according to the behavioral hazard coefficients of each detainee in each cell of the prison at each monitoring time point, and obtain the normal detainees in each cell of the prison after ranking within the monitoring time period; 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; 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.

7. A cell information interaction terminal system according to claim 6, characterized in that: The analysis is about the group intimacy coefficient between normal detainees and other detainees in each cell of the prison during the monitoring period. The specific analysis method is as follows: A normal detainee is randomly selected 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; According to 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 detainees, , q is a positive integer greater than 2, and the group intimacy coefficient between each normal detainee and other detainees in each cell of the prison during the monitoring period is analyzed , where s is the number of monitoring time points, u is the number of normal detainees, and q is the number of other detainees.

8. The cell information interaction terminal system according to claim 7 is characterized in that: The specific method for obtaining the normal detainees in the cells of the prison after sorting during the monitoring period is as follows: Obtain the average historical behavior hazard coefficient of each normal detainee in each cell of the prison from the local database ; Based on the behavioral hazard coefficient of each normal detainee in each cell of the prison at each monitoring time point , calculate the comprehensive behavior hazard coefficient of each normal detainee in each cell of the prison during the monitoring period , where e is represented as 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.

9. The cell information interaction terminal system according to claim 7, characterized in that: The analysis is about the historical team 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 teamings between each normal detainee and other detainees in each cell of the prison from the local database Number of malicious incidents with the team ; Analyze the historical team hazard coefficients of normal detainees and other detainees in each cell of the prison during the monitoring period .

10. The cell information interaction terminal system according to claim 7, characterized in that: The specific allocation method for allocating the normal detainees in each cell of the prison to the mutual monitoring group is as follows: According to the normal detainees in the sorted cells of the prison during the monitoring period, the first normal detainee in the sorted cells of the prison is extracted, and the other normal detainees in the sorted cells of the prison are sorted in reverse order, so as to obtain the sorting positions of the other normal detainees in the reverse order of the cells of the prison; Obtaining the initial suitable teaming coefficient of each ranking position from the local database, and mapping to obtain the initial suitable teaming coefficients of the first ranked normal detainee and other normal detainees in each cell of the prison; According to the historical team harm coefficient between each normal detainee and other detainees in each cell of the prison, the historical team harm coefficient between the first-ranked normal detainee and other normal detainees in each cell of the prison is extracted; according to the group intimacy coefficient between each normal detainee and other detainees in each cell of the prison, the group intimacy coefficient between the first-ranked normal detainee and other normal detainees in each cell of the prison is extracted; Obtain the appropriate teaming coefficient reduction value corresponding to each historical teaming hazard coefficient interval and the target appropriate teaming coefficient reduction value corresponding to each teaming intimacy coefficient interval from the local database, and map the appropriate teaming coefficient reduction value and the target appropriate teaming coefficient reduction value of the first ranked normal detainee and other normal detainees in each cell of the prison; Calculate the appropriate teaming coefficients of the first ranked normal detainee and other normal detainees in each cell of the prison, and sort them in descending order according to the appropriate teaming coefficients, so as to obtain the other normal detainees after 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 the 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; According to the comprehensive behavior hazard coefficient of each normal detainee in each cell of the prison, the comprehensive behavior hazard coefficient of each normal detainee in the first group of each cell of the prison is extracted, and the normal detainee with the smallest comprehensive behavior hazard coefficient is taken as the leader of the first group; And so on, until all the normal inmates in each cell of the prison have been assigned.

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