A prison room alarm management method, system and prison room alarm terminal

Abstract

The invention discloses a cell alarm management method, a system and a cell alarm terminal, and relates to the technical field of cell management. The invention monitors the wearing and replacement of smart bracelets of supervised persons, monitors the possibility of conflicts in the gathering areas of each supervised person, and analyzes the possibility of supervised persons damaging facilities near each facility, then analyzes the security of the monitored area, and performs corresponding alarms and inspections, records the violations of each supervised person, and classifies each supervised person, and then formulates targeted supervision plans for different types of supervised persons, so as to achieve sophisticated prediction of dangerous events in the supervision area, and can give alarms and stop dangerous events before they occur, thereby ensuring the safety of personnel and facilities in the supervision area, improving the supervision effect, and reducing the negative impact on the supervisors and prison order.

Description

Technical Field

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

[0002] The prison cell alarm management system is an integrated application platform that integrates the data of the smart prison application system and the basic data of prison management information. Through unified standards, interconnection and high degree of sharing, it comprehensively integrates prison law enforcement, management, education, service, and security through information technology to improve the effectiveness of prison management.

[0003] Existing technologies such as the application with publication number CN115937760A disclose a method for monitoring hidden dangers and abnormal behaviors in supervision places based on artificial intelligence, which involves the field of supervision technology, specifically including a biological sign information monitoring module and an image behavior abnormality monitoring module. Through the simultaneous operation of the biological sign information monitoring module and the image behavior abnormality monitoring module, the vital signs of the personnel in the supervision place can be closely monitored, and when the supervised person has abnormal physical conditions or suicidal behavior, the life safety can be effectively protected, and the life safety of the supervised person and the management personnel can be closely monitored, which makes up for the lack of monitoring in some private places such as toilets where image monitoring is not allowed. The two sets of monitoring systems complement each other to form an efficient, comprehensive and timely abnormal behavior monitoring method, realize artificial intelligence supervision and prediction, effectively reduce the occurrence of accidents in the supervision place, and play an important role in the management of the supervision place.

[0004] The above technology has at least the following shortcomings: 1. When monitoring abnormal behavior of supervised persons, smart bracelets are used to monitor vital signs data, but the above solution does not monitor the uniqueness of the supervised persons and the smart bracelets, and cannot prevent the supervised persons from replacing smart bracelets, resulting in a decrease in the reference value of subsequent data monitoring and analysis, affecting the safety of personnel and facilities in the area.

[0005] 2. When monitoring conflicts of supervised persons, the above scheme mainly monitors the behavior of the supervised persons and issues warnings when the behavior is abnormal. This kind of conflict management can usually only be detected after the conflict occurs, and it cannot avoid the occurrence of conflicts. It does not analyze the possibility of conflicts based on the supervised persons' historical violation records, physical data and personnel gathering conditions, and then issue corresponding warnings based on the possibility of conflicts. As a result, it is impossible to stop the conflict before it occurs, thereby reducing the supervision effect and failing to ensure the safety of personnel.

[0006] 3. Prison facilities can maintain order in the prison area and prevent violent incidents and other illegal activities. However, the above plan lacks the ability to analyze the possibility of damage to the facilities based on the violation records and anthroposophical data of the prisoners near the facilities, and then issue corresponding warnings and stop measures before the facilities are damaged. It cannot prevent the prisoners from damaging the facilities, cannot ensure the safety of the facilities, and cannot reduce the negative impact on the supervisors and prison order.

[0007] 4. The above plan only records the violations of the supervised persons, and does not set up targeted supervision plans based on the violations. As a result, it is impossible to timely discover changes in the physical signs of the supervised persons, and it is impossible to effectively prevent dangerous incidents before they occur. It is impossible to ensure the safety and stability of the prison area, and it is impossible to improve the effectiveness of the safety management of the prison area. Summary of the invention

[0008] In view of the above-mentioned technical deficiencies, the object of the present invention is to provide a cell alarm management method, system and cell alarm terminal.

[0009] In order to solve the above technical problems, the present invention adopts the following technical solutions: In the first aspect, the present invention provides a cell alarm management method, comprising the following steps: S1. When the activity area in the supervision area is opened, each supervised person entering the activity area is bound.

[0010] S2. Divide the activity area in the supervision area into regions to obtain various monitoring areas, monitor each monitoring area, evaluate the safety of each monitoring area, and enter violations to obtain the data of illegal entries. At the same time, adjust the monitoring screen and issue an alarm in the cell terminal.

[0011] S3. Use the data on the security and violation input of each monitoring area to patrol each monitoring area, confirm violations, and count violation records.

[0012] S4. Use the violation records to perform corresponding management operations.

[0013] In a second aspect, the present invention provides a cell alarm management system, comprising: an information binding module, which is used to bind each supervised person entering the activity area when the activity area in the supervision area is opened.

[0014] The activity monitoring module is used to divide the activity area in the supervision area into regions, obtain various monitoring areas, monitor each monitoring area, evaluate the safety of each monitoring area, and enter violations to obtain the data of illegal entries. At the same time, the monitoring screen is adjusted and the alarm is issued in the cell terminal.

[0015] The monitoring management module is used to patrol each monitoring area using the data on the security and violation input of each monitoring area, and at the same time confirm the violations and count the violation records.

[0016] The execution module is used to perform corresponding management operations using the violation records.

[0017] In a third aspect, the present invention provides a cell alarm terminal, which includes: a processor and a memory, wherein the processor is communicatively connected to the memory, the memory stores a computer program, and the processor executes the cell alarm management method through the computer program.

[0018] The beneficial effects of the present invention are as follows: the present invention provides a cell alarm management method, system and cell alarm terminal, which monitor the wearing and replacement of smart bracelets of supervised persons, and monitor the possibility of conflicts in the gathering areas of each supervised person, while analyzing the possibility of supervised persons damaging facilities near each facility, and then analyzing the security of the monitored area, and making corresponding alarms and inspections, while recording the violations of each supervised person, and classifying each supervised person, and then formulating targeted supervision plans for different types of supervised persons, so as to achieve sophisticated prediction of dangerous events in the supervision area, be able to give alarms and stop dangerous events before they occur, ensure the safety of personnel and facilities in the supervision area, improve the supervision effect, and reduce the negative impact on supervisors and prison order. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] 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.

[0020] Figure 1 The present invention is a schematic flow chart of the steps for implementing the method.

[0021] Figure 2 It is a schematic diagram of the system structure connection of the present invention. DETAILED DESCRIPTION

[0022] 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.

[0023] Embodiment 1:

[0024] See also Figure 1 As shown, a cell alarm management method includes the following steps: S1. When the activity area in the supervision area is opened, each supervised person entering the activity area is bound.

[0025] In a specific embodiment, the binding of each supervised person entering the activity area is carried out as follows: when each supervised person enters the activity area, a face recognition device is used at the entrance of the activity area to perform face recognition to obtain the identity information of each supervised person, and at the same time, each supervised person is fitted with a smart bracelet, and the smart bracelet is bound to the identity information of each supervised person; one supervised person corresponds to one smart bracelet.

[0026] Among them, identity information includes name and gender.

[0027] S2. Divide the activity area in the supervision area into regions to obtain various monitoring areas, monitor each monitoring area, evaluate the safety of each monitoring area, and enter violations to obtain the data of illegal entries. At the same time, adjust the monitoring screen and issue an alarm in the cell terminal.

[0028] In a specific embodiment, the monitoring of each monitoring area is carried out as follows: a monitoring camera is installed in each monitoring area, collection moments are arranged at preset time intervals, and images of each monitoring area are captured at each collection moment using the monitoring camera, and images and positions of supervised persons corresponding to each position in each monitoring area are identified, and initial identity information of supervised persons corresponding to each position in each monitoring area at each collection moment is obtained through face recognition technology.

[0029] The smart bracelet collects the vital signs data and bracelet positioning position of each supervised person at each collection moment, and transmits it to the cell terminal in real time.

[0030] Among them, the cell terminal includes a display and an alarm. The display is used to display the monitoring images of each monitoring area taken by the surveillance camera, the vital signs data of each supervised person and the bracelet positioning position at each collection time, and the alarm is used to sound an alarm when an alarm is triggered.

[0031] It should be noted that vital sign data include but are not limited to heart rate and temperature.

[0032] In another specific embodiment, the security of each monitoring area is evaluated, and the specific process is as follows: each position in each monitoring area at each collection moment is compared with the wristband positioning position of each supervised person at the corresponding collection moment. If a certain position is the same as the wristband positioning position of a supervised person, the identity information bound to the corresponding smart wristband of the supervised person is extracted as the verification identity information of the supervised person at that position, and the initial inspection identity information and the verification identity information of the supervised person corresponding to the position are compared. If the initial inspection identity information and the verification identity information are different, the supervised person at that position is recorded as a marked person, so as to obtain the marked persons in each monitoring area at each collection moment.

[0033] Cluster the locations in each monitoring area at each collection time to obtain each cluster partition, obtain the density of supervised persons and the number of marked persons in each cluster partition, and at the same time obtain the vital sign data and historical violation records of each supervised person in each cluster partition, and analyze the first-class safety feature values ​​of each monitoring area at each collection time.

[0034] Preferably, the analysis of a type of security feature value of each monitoring area at each collection time is specifically performed as follows: the number of conflicts is obtained from the historical violation records of each supervised person in each cluster partition in each monitoring area at each collection time, and the vital sign data and the number of conflicts of each supervised person in each cluster partition in each monitoring area at each collection time are recorded as Z tgfr and C tgfr , where t represents the number of each collection moment, g represents the number of each monitoring area, f represents the number of each cluster partition, r represents the number of each supervised person, and t, g, f and r are all positive integers.

[0035] The standard human vital signs data is obtained from the system, denoted as Z, and substituted into the personnel status assessment model to output the activity status results of each supervised person in each cluster partition in each monitoring area at each collection time. The activity status results contain values ​​of 1 and 0. When the activity status result is 1, it indicates that the activity status is normal, otherwise it indicates that the activity status is abnormal.

[0036] In the above, the expression of the personnel status evaluation model is: In the formula It represents the activity status result of the rth supervised person in the fth cluster partition in the gth monitoring area at the tth collection time. C is the set conflict number threshold, υ1 is the set state evaluation coefficient threshold, σ1 and σ2 are the set vital sign data weight factor and conflict number weight factor respectively.

[0037] It should be noted that the human standard vital sign data is the reference characteristic data of a person in a normal state, which is set by professional medical personnel. The conflict number threshold is the critical value for judging whether the conflict between people is serious. When the number of conflicts between people is greater than the conflict number threshold, it indicates that the person has a large number of conflicts and is prone to conflicts. He is a person with serious conflicts. The conflict number threshold is set by the supervisor. For example, if the conflict number threshold is 2 and the number of conflicts of the supervised person is 3, 3>2, it indicates that the supervised person is a person with serious conflicts.

[0038] The weight factors of physical sign data and number of conflicts are jointly discussed and formulated by multiple professionals based on historical experience and a large amount of historical data, after analyzing the correlation between changes in physical sign data and the number of conflicts and conflicts among supervised persons. For example, if the correlation between changes in physical sign data and conflicts among supervised persons is high, the weight factor of physical sign data may be assigned a value of 0.6, and the weight factor of number of conflicts may be assigned a value of 0.4.

[0039] When the supervised person is in an emotional state such as tension or excitement before planning a conflict, the body will automatically release stress hormones such as adrenaline, which can increase heart rate, blood pressure, and respiratory rate, etc., in order to provide the body with more energy to deal with potential threats. Therefore, the physical sign data is monitored to determine whether the supervised person is likely to plan a conflict. At the same time, when the supervised person is a person with serious conflicts, it indicates that the supervised person is more likely to have conflicts with others, so the number of conflicts of the supervised person needs to be analyzed.

[0040] The number of supervised persons with abnormal activity status in each cluster partition in each monitoring area at each collection time is counted, which is recorded as the number of persons with abnormal activity in each cluster partition in each monitoring area at each collection time. The density of supervised persons, the number of marked persons, and the number of persons with abnormal activity in each cluster partition in each monitoring area at each collection time are normalized and their values ​​are taken and recorded as a1. tgf 、a2 tgf and a3 tgf .

[0041] It should be noted that the density of supervised persons = the number of supervised persons / the area of ​​cluster partitions. The number of supervised persons in each cluster partition and the area of ​​each cluster partition are obtained from the images of each monitoring area at each acquisition time.

[0042] Set the proportional coefficient of the density of supervised persons, the proportional coefficient of the number of marked persons, and the proportional coefficient of the number of persons with abnormal activities as η1, η2, and η3 respectively; use the analytical formula Get a type of security characteristic value α1 of the g-th monitoring area at the t-th acquisition time tg , where w represents the number of cluster partitions.

[0043] In the above, the setting process of the proportional coefficient of the density of supervised persons, the proportional coefficient of the number of marked persons and the proportional coefficient of the number of persons with abnormal activities is the same as the process of the vital sign data weight factor and the conflict number weight factor, which will not be repeated here.

[0044] With each facility in each monitoring area as the center and a circle with a preset radius, the area within the park is the target partition. The surveillance cameras in each monitoring area are used to collect images of each target partition in each monitoring area at each collection time. The posture of each supervised person in each target partition in each monitoring area at each collection time is identified and compared with the preset attack posture set. If the posture of a supervised person is the same as an attack posture in the attack posture set, the supervisory person is recorded as the target person, and the target persons in each target partition in each monitoring area at each collection time are counted.

[0045] The facilities include entertainment facilities and protective facilities, such as a table and a guardrail, etc. The preset radius may be one meter or two meters, etc.

[0046] In the above, the preset attack posture set is formed by integrating the postures of various historical attacks in the historical attack monitoring.

[0047] Obtain the number of target persons in each target partition in each monitoring area at each collection time, the vital signs data of each target person, and the historical violation records, and analyze the second-class safety feature values ​​of each monitoring area at each collection time.

[0048] In a specific embodiment, the second-class safety feature value of each monitoring area at each collection time is analyzed, and the specific analysis process is as follows: the number of facility damages is obtained from the historical violation records of each target person in each target partition in each monitoring area at each collection time, and the vital sign data and the number of facility damages of each target person in each target partition in each monitoring area at each collection time are recorded as Y tgip and M tgip , i marks the number of each target partition, p represents the number of each target personnel, i and p are both positive integers; input into the damage impact assessment model, output the facility damage impact factor of each target partition in each monitoring area at each acquisition time, denoted as X tgi .

[0049] Among them, the expression of the damage impact assessment model is: In the formula, M represents the threshold of facility damage times, are the set physical sign data proportional coefficient and facility destruction times proportional coefficient respectively, and u represents the number of target personnel.

[0050] It should be noted that the threshold number of facility damage times is the critical value for judging whether the supervised person has seriously damaged the facilities, and is set by the supervisor. For example, if the threshold number of facility damage times is 2, and the supervised person has damaged facilities 4 times, 4>2, it means that the supervised person has damaged facilities many times and is a person who has severely damaged facilities.

[0051] The proportion coefficient of physical sign data and the proportion coefficient of facility destruction times are jointly discussed and formulated by multiple professionals based on historical experience and a large amount of historical data, after analyzing the correlation between physical sign data, the number of facility destruction times and the destruction of facilities by supervised personnel. For example, if the correlation between the proportion coefficient of physical sign data and the destruction of facilities by supervised personnel is low, the proportion coefficient of physical sign data can be assigned a value of 0.4, and the proportion coefficient of the number of facility destruction times can be assigned a value of 0.6.

[0052] When the supervised person is in a state of tension or excitement before planning to destroy facilities, the body will automatically release stress hormones such as adrenaline, which can increase heart rate, blood pressure, and respiratory rate, etc., in order to provide the body with more energy to deal with potential threats. Therefore, the physical sign data is monitored to determine whether the supervised person is likely to plan to destroy facilities. At the same time, when the supervised person is a person who seriously destroys facilities, it indicates that the supervised person is more likely to destroy facilities, so it is necessary to analyze the number of facility destructions by the supervised person.

[0053] The number of target personnel in each target partition in each monitoring area at each collection time is recorded as N tgi , substitute into the analytical formula Get the second-class security characteristic value α2 of the g-th monitoring area at the t-th acquisition time tg , where N represents the preset target personnel number threshold, h represents the number of target partitions, and e represents a natural constant.

[0054] Among them, the target personnel number threshold is the critical value for determining the possibility of the target personnel number damaging the facilities. When the target personnel number is greater than the target personnel number threshold, it indicates that the facilities are more likely to be damaged. It is set by the supervisor. For example, assuming that the target personnel number threshold in a target zone is 3, and the target personnel number is 5, 5>3, it indicates that the facilities in the target zone are more likely to be damaged.

[0055] The safety of each monitoring area is analyzed by using the first-class safety characteristic value and the second-class safety characteristic value of each monitoring area at each collection moment.

[0056] Preferably, the safety analysis process of each monitoring area is as follows: by analyzing the formula Get the security characteristic value α of the g-th monitoring area at the t-th acquisition time tg .

[0057] Get the preset security feature value threshold from the system, denoted as α. tg ≥α, it indicates that the security of the g-th monitoring area is insufficient, otherwise it indicates that the security of the g-th monitoring area is sufficient.

[0058] It should be noted that the preset safety feature value threshold is the critical value for judging whether the safety is sufficient, which is discussed and set by multiple professionals based on experience and a large amount of historical data. For example, if the safety feature value threshold is 12, and the safety feature value of the g-th monitoring area at the t-th collection time is 13, and 13>12, it means that the safety of the g-th monitoring area is insufficient.

[0059] In the above, the adjustment of the monitoring screen and the alarm in the cell terminal are specifically carried out as follows: extracting each monitoring area with insufficient security, switching the display of the cell terminal to the monitoring screen of each monitoring area with insufficient security, and at the same time the alarm sounds an alarm prompt.

[0060] In another specific embodiment, the specific process of the violation entry is as follows: extract the image of each marked person in each monitoring area at each collection moment and the identity information bound to the smart bracelet, upload the image, initial identity information and verification identity information of each marked person in each monitoring area at each collection moment in the violation entry terminal, and add the violation type label that the device has privately replaced on the main interface of each marked person in the cell terminal.

[0061] The images of each target person and the identity information bound to the smart bracelet corresponding to each target partition in each monitoring area at each collection moment are extracted, and the violation type label of damaging facilities is added to the main interface of each target person in the monitoring room terminal.

[0062] S3. Use the data on the security and violation input of each monitoring area to patrol each monitoring area, confirm violations, and count violation records.

[0063] Among them, when the supervisor receives the alarm prompt, he needs to patrol each monitoring area and confirm the data entered in violation of the regulations. If the entry is wrong, the supervisor will modify it according to the confirmation result. If the entry is correct, the supervisor will click the confirmation button on the violation entry page to confirm that the violation entry is correct.

[0064] S4. Use the violation records to perform corresponding management operations.

[0065] In a specific embodiment, the violation records are used to perform corresponding management operations, and the specific execution process is as follows: the violation type of each violator and the monitoring area corresponding to the violation are obtained from the violation records, the violation type of each violator's historical violation and the monitoring area corresponding to the violation are obtained from the historical violation records, each violator is classified into a serious violation type and a minor violation type, and the violation coefficient of each monitoring area is analyzed.

[0066] Preferably, each violator is classified, and the specific process is as follows: the number of historical violations of each violation type of each violator is counted, and the average number of historical violations of each violation type of each violator is calculated to obtain the average historical number of violations of each violation type; when the number of historical violations of each violation type of a certain violator is less than the average historical number of violations of each violation type, the violator is classified as a minor violation type; when the number of historical violations of at least one violation type of a certain violator is greater than the average historical number of violations of the corresponding violation type, the violator is classified as a serious violation type.

[0067] The number of historical violations of each violation type in each monitoring area is counted, then divided by the total number of historical violations of each violation type in each monitoring area, and then added up to obtain the violation coefficient of each monitoring area.

[0068] The type of each violator is bound to the identity information of each violator. When each violator of a serious violation type enters the activity area, the smart bracelet is used to monitor the vital sign data and position of each violator of the serious violation type in real time, and a threshold value of the vital sign data of the serious violation type is set. When the vital sign data is greater than the threshold value of the vital sign data of the serious violation type, the position of the violator is located on the cell terminal, and the monitoring screen of the corresponding monitoring area of ​​the violator is displayed on the main monitoring screen, and the alarm is activated to give an alarm prompt.

[0069] At the same time, according to the position of each violator of the serious violation type, the distance between each violator of the serious violation type is obtained, and the distance threshold of the violators of the serious violation type is set. When the distance between the violators is less than the distance threshold, the position of the violator is located in the cell terminal, and the monitoring screen of the corresponding monitoring area of ​​the violator is displayed in the monitoring main screen, and the alarm is activated for alarm prompts;

[0070] When minor offenders enter the activity area, the smart bracelet is used to monitor the vital signs data and location of minor offenders in real time, and a threshold for the vital signs data of minor offenders is set. When the vital signs data is greater than the threshold for the vital signs data of minor offenders, the position of the offender is located on the cell terminal, and the monitoring screen of the corresponding monitoring area of ​​the offender is displayed on the main monitoring screen, and the alarm is activated to prompt the supervisor to pay attention.

[0071] According to the violation coefficient of each monitoring area, the inspection frequency of each monitoring area is confirmed. When the supervisor starts the inspection, each monitoring area is inspected according to the inspection frequency of each monitoring area.

[0072] It should be noted that the inspection frequencies corresponding to the preset violation coefficients are obtained from the system, thereby obtaining the inspection frequencies of the monitoring areas according to the violation coefficients of the monitoring areas.

[0073] Among them, the inspection frequency corresponding to each violation coefficient is jointly discussed and formulated by multiple professionals based on historical experience and a large amount of historical data. For example: if the violation coefficient is 5, the corresponding inspection frequency is once every 30 minutes. When the violation coefficient of a monitoring area is 5, the inspection frequency of the monitoring area is once every 30 minutes.

[0074] Embodiment 2:

[0075] See also Figure 2 As shown, a cell alarm management system includes: an information binding module, an activity monitoring module, a monitoring management module and an execution module.

[0076] The information binding module is used to bind each supervised person who enters the activity area when the activity area in the supervision area is opened.

[0077] The activity monitoring module is used to divide the activity area in the supervision area into regions, obtain various monitoring areas, monitor each monitoring area, evaluate the safety of each monitoring area, and enter violations to obtain the data of illegal entries. At the same time, the monitoring screen is adjusted and the alarm is issued in the cell terminal.

[0078] The monitoring management module is used to patrol each monitoring area using the data on the security and violation input of each monitoring area, and at the same time confirm the violations and count the violation records.

[0079] The execution module is used to perform corresponding management operations using the violation records.

[0080] Embodiment 3:

[0081] A prison cell alarm terminal comprises: a processor and a memory, wherein the processor is communicatively connected with the memory, the memory stores a computer program, and the processor executes the prison cell alarm management method through the computer program.

[0082] The embodiment of the present invention monitors the wearing and replacement of smart bracelets of supervised persons, monitors the possibility of conflicts in the gathering areas of each supervised person, and analyzes the possibility of supervised persons damaging facilities near each facility, and then analyzes the security of the monitored area, and performs corresponding alarms and inspections, while recording the violations of each supervised person, and classifying each supervised person, and then formulates targeted supervision plans for different types of supervised persons, so as to achieve sophisticated prediction of dangerous events in the supervision area, and be able to alarm and stop dangerous events before they occur, thereby ensuring the safety of personnel and facilities in the supervision area, improving the supervision effect, and reducing the negative impact on supervisors and prison order.

[0083] 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 in this specification, they shall all fall within the protection scope of the present invention.

Claims

1. A cell alarm management method, characterized in that: The steps include: S1. When the activity area in the supervision area is open, each supervised person entering the activity area is bound; S2. Divide the activity area in the supervision area into regions to obtain monitoring areas, monitor each monitoring area, evaluate the safety of each monitoring area, and enter violations to obtain data on violations, while adjusting the monitoring screen and issuing alarms in the cell terminal; S3. Using the data on the safety and violation input of each monitoring area, patrol each monitoring area, confirm the violation, and count the violation records; S4. Use the violation records to perform corresponding management operations; The specific process of monitoring each monitoring area is as follows: Install surveillance cameras in each monitoring area, arrange collection times at preset time intervals, use surveillance cameras to capture images of each monitoring area at each collection time, identify the images and positions of supervised persons corresponding to each position in each monitoring area, and obtain the initial identity information of supervised persons corresponding to each position in each monitoring area at each collection time through face recognition technology; The smart bracelet collects the vital sign data and bracelet location of each supervised person at each collection time, and transmits it to the cell terminal in real time; The specific process of evaluating the safety of each monitoring area is as follows: Compare each position in each monitoring area at each collection time with the wristband positioning position of each supervised person at the corresponding collection time. If a certain position is the same as the wristband positioning position of a supervised person, extract the identity information bound to the corresponding smart wristband of the supervised person as the verified identity information of the supervised person at that position, and compare the initial inspection identity information and the verified identity information of the supervised person corresponding to that position. If the initial inspection identity information and the verified identity information are different, the supervised person at that position is recorded as a marked person, so as to obtain the marked persons in each monitoring area at each collection time; Cluster each location in each monitoring area at each collection time to obtain each cluster partition, obtain the density of supervised persons and the number of marked persons in each cluster partition, and at the same time obtain the vital sign data and historical violation records of each supervised person in each cluster partition, and analyze the first-class safety feature value of each monitoring area at each collection time; With each facility in each monitoring area as the center, a circle with a preset radius is drawn, and the area in the park is the target partition. The surveillance cameras in each monitoring area are used to collect images of each target partition in each monitoring area at each collection time, and the postures of each supervised person in each target partition in each monitoring area at each collection time are identified and compared with the preset attack posture set. If the posture of a supervised person is the same as an attack posture in the attack posture set, the supervisor is recorded as the target person, and the target persons in each target partition in each monitoring area at each collection time are counted; Obtain the number of target personnel in each target partition in each monitoring area at each collection time, the vital sign data of each target personnel, and the historical violation records, and analyze the second-class safety characteristic values ​​of each monitoring area at each collection time; Analyze the safety of each monitoring area by using the first-class safety characteristic value and the second-class safety characteristic value of each monitoring area at each collection time; The specific process of analyzing a type of security feature value of each monitoring area at each collection moment is as follows: The number of conflicts is obtained from the historical violation records of each supervised person in each cluster partition in each monitoring area at each collection time, and the vital sign data and the number of conflicts of each supervised person in each cluster partition in each monitoring area at each collection time are recorded as Z tgfr and C tgfr , where t represents the number of each collection moment, g represents the number of each monitoring area, f represents the number of each cluster partition, r represents the number of each supervised person, and t, g, f and r are all positive integers; Obtain human standard vital sign data from the system, denoted as Z, substitute it into the personnel status assessment model, and output the activity status results of each supervised person in each cluster partition in each monitoring area at each collection time, where the activity status results contain values ​​of 1 and 0. When the activity status result is 1, it indicates that the activity status is normal, otherwise it indicates that the activity status is abnormal; The number of supervised persons with abnormal activity status in each cluster partition in each monitoring area at each collection time is counted, which is recorded as the number of persons with abnormal activity in each cluster partition in each monitoring area at each collection time. The density of supervised persons, the number of marked persons, and the number of persons with abnormal activity in each cluster partition in each monitoring area at each collection time are normalized and their values ​​are taken and recorded as a1. tgf 、a2 tgf and a3 tgf ; Set the proportional coefficient of the density of supervised persons, the proportional coefficient of the number of marked persons, and the proportional coefficient of the number of persons with abnormal activities, which are denoted as η1, η2, and η3 respectively; use the analytical formula: Get a type of security characteristic value α1 of the g-th monitoring area at the t-th acquisition time tg , where w represents the number of cluster partitions; The specific analysis process of analyzing the second-class safety characteristic values ​​of each monitoring area at each collection time is as follows: The number of facility damages is obtained from the historical violation records of each target person in each target partition in each monitoring area at each collection time, and the physical sign data and the number of facility damages of each target person in each target partition in each monitoring area at each collection time are recorded as Y tgip and M tgip , i marks the number of each target partition, p represents the number of each target personnel, i and p are both positive integers; input into the damage impact assessment model, output the facility damage impact factor of each target partition in each monitoring area at each acquisition time, denoted as X tgi ; The number of target personnel in each target partition in each monitoring area at each collection time is recorded as N tgi , substitute into the analytical formula Get the second-class security characteristic value α2 of the g-th monitoring area at the t-th acquisition time tg , where N represents the preset target personnel number threshold, h represents the number of target partitions, and e represents a natural constant; The specific process of the illegal entry is as follows: Extract the images of each marked person in each monitoring area at each collection time and the identity information bound to the smart bracelet, upload the images, initial identity information and verification identity information of each marked person in each monitoring area at each collection time in the violation entry terminal, and add the violation type label that the device has privately replaced on the main interface of each marked person in the cell terminal; The images of each target person and the identity information bound to the smart bracelet corresponding to each target partition in each monitoring area at each collection moment are extracted, and the violation type label of damaging facilities is added to the main interface of each target person in the monitoring room terminal.

2. A cell alarm management method according to claim 1, characterized in that: The specific process of binding each supervised person entering the activity area is as follows: When each supervised person enters the activity area, a face recognition device is used at the entrance of the activity area to perform face recognition to obtain the identity information of each supervised person. At the same time, each supervised person is given a smart bracelet, and the smart bracelet is bound to the identity information of each supervised person; One supervised person corresponds to one smart bracelet.

3. A cell alarm management method according to claim 1, characterized in that: The violation records are used to perform corresponding management operations. The specific execution process is as follows: Obtain the violation type of each violator and the corresponding monitoring area from the violation records, obtain the violation type of each violator's historical violation and the corresponding monitoring area from the historical violation records, classify each violator into serious violation type and minor violation type, and analyze the violation coefficient of each monitoring area; Bind the type of each violator with the identity information of each violator. When each violator of a serious violation type enters the activity area, use the smart bracelet to monitor the physical sign data and position of each violator of a serious violation type in real time, and set the physical sign data threshold of the violator of a serious violation type. When the physical sign data is greater than the physical sign data threshold of the violator of a serious violation type, locate the position of the violator in the cell terminal, and display the monitoring screen of the corresponding monitoring area of ​​the violator in the main monitoring screen, and start the alarm to give an alarm prompt; At the same time, according to the position of each violator of the serious violation type, the distance between each violator of the serious violation type is obtained, and the distance threshold of the violators of the serious violation type is set. When the distance between the violators is less than the distance threshold, the position of the violator is located in the cell terminal, and the monitoring screen of the corresponding monitoring area of ​​the violator is displayed in the monitoring main screen, and the alarm is activated for alarm prompts; When minor offenders enter the activity area, the smart bracelet is used to monitor the physical sign data and location of minor offenders in real time, and the physical sign data threshold of minor offenders is set. When the physical sign data is greater than the physical sign data threshold of minor offenders, the location of the offender is located on the cell terminal, and the monitoring screen of the corresponding monitoring area of ​​the offender is displayed on the main monitoring screen, and the alarm is activated to alert the supervisor to pay attention; According to the violation coefficient of each monitoring area, the inspection frequency of each monitoring area is confirmed. When the supervisor starts the inspection, each monitoring area is inspected according to the inspection frequency of each monitoring area.

4. A prison cell alarm management system for executing the prison cell alarm management method according to any one of claims 1 to 3, characterized in that: include: An information binding module is used to bind each supervised person who enters the activity area when the activity area in the supervision area is opened; The activity monitoring module is used to divide the activity area in the supervision area into regions, obtain various monitoring areas, monitor each monitoring area, evaluate the safety of each monitoring area, and enter violations to obtain the data of illegal entries, and adjust the monitoring screen and alarm in the cell terminal; The monitoring management module is used to patrol each monitoring area using the security and violation data of each monitoring area, confirm violations, and count violation records; The execution module is used to perform corresponding management operations using the violation records.

5. A cell alarm terminal, characterized in that: The cell alarm terminal comprises: a processor and a memory, wherein the processor is in communication connection with the memory, the memory stores a computer program, and the processor executes the cell alarm management method according to any one of claims 1 to 3 through the computer program.

Images