CN115862286A - Early warning method and device based on prison bracelet, computer equipment and storage medium - Google Patents

Abstract

The invention discloses an early warning method, device, computer equipment and storage medium based on prison bracelets, including: acquiring indoor maps of rooms where multiple prison bracelets are located, and acquiring data collected by multiple prison bracelets, wherein the The collected data includes physiological data and signal strength data connected between the Bluetooth device and the prison bracelet; according to the signal strength data connected between the Bluetooth device and the prison bracelet, the first position coordinates of multiple prison bracelets are calculated; multiple first positions The coordinates are correspondingly added to the indoor map to form a prison bracelet map; multiple first position coordinates in the prison bracelet map are connected into a graph; judge whether the graph is a regular graph; if not, judge whether the physiological data exceeds the first preset Set a threshold; if so, give an early warning. This early warning method is simple and effective, with low cost and a small amount of calculation, and can detect abnormal situations among prisoners in time to avoid the occurrence of vicious incidents.

Description

Early warning method, device, computer equipment and storage medium based on prison bracelet

technical field

The invention relates to the field of intelligent supervision, in particular to an early warning method, device, computer equipment and storage medium based on a prison bracelet.

Background technique

Most of the prisoners in prisons are long-term criminals with serious crimes, great social harm, and deep subjective malice. These prisoners have a higher probability of vicious supervision accidents such as self-injury, escape from prison, and harming others during their sentence. . In order to ensure the long-term stability of prison institutions, wristbands, as one of the high-tech devices that can monitor and punish prisoners and collect daily behavior data of prisoners, can realize intelligent management of prisons. The intelligent management of prisons is conducive to all-weather, all-round and whole-process supervision and control of the behavior of inmates, improving the prison security coefficient and emergency response capabilities, maximizing the protection of prison safety, and at the same time improving the management efficiency and effectiveness of prisons and reducing the burden on prison guards. workload.

The existing prison wristbands used in prisons have many functions, such as electronic fence, historical track query, multiple precise positioning, anti-disassembly alarm, health monitoring and other functions, but there is no good early warning for some special scenes that require alarm Effect.

Contents of the invention

The main purpose of the present invention is to provide an early warning method, device, computer equipment and storage medium based on a prison bracelet, aiming to solve the technical problem that some special scenes that require an alarm do not have a good early warning effect.

The invention discloses the following technical solutions:

An early warning method based on a prison bracelet, comprising:

Obtain an indoor map of the room where multiple prison bracelets are located, and acquire multiple collection data of the prison bracelet, wherein the collection data includes at least physiological data and signal strength data of Bluetooth devices connected to the prison bracelet;

According to the signal strength data of the connection between the Bluetooth device and the prison bracelet, calculate the first position coordinates of a plurality of the prison bracelets;

Correspondingly adding a plurality of the first position coordinates to the indoor map to form a prison bracelet map;

connecting a plurality of the first position coordinates in the prison bracelet map into a graph;

judging whether the graph is a regular graph;

If not, judging whether the physiological data exceeds a first preset threshold;

If so, give an early warning.

Further, the step of calculating the first position coordinates of a plurality of prison bracelets according to the signal strength data of the connection between the Bluetooth device and the prison bracelet includes:

Calculate the distance between each of the Bluetooth devices and the prison bracelet according to the signal strength data;

Obtain the second position coordinates of each of the bluetooth devices;

Calculate the first position coordinates of the prison bracelet according to the second position coordinates of each of the bluetooth devices and the distance between each of the bluetooth devices and the prison bracelet.

Further, after the step of adding a plurality of the first position coordinates to the indoor map to form a prison bracelet map, it includes:

Input the prison bracelet map and the physiological data into the neural network model for calculation, and obtain the probability value of fighting for the prison bracelet wearer, wherein the neural network model is trained by the training set;

judging whether the probability value exceeds a second preset threshold;

If so, give an early warning.

Further, after the step of acquiring a plurality of collection data of the prison bracelets, it includes:

Based on physiological data, determine whether there is insufficient sleep in a day;

If so, count the number of days the sleep deprivation lasted;

If the number of continuous days exceeds the fourth preset threshold, an early warning is given.

Further, the step of judging whether a lack of sleep occurs within a day based on physiological data includes:

Judging the sleep state according to the physiological data, wherein the sleep state includes a light sleep state, a deep sleep state and an awake state;

Record the first duration of the light sleep state, the second duration of the deep sleep state, and the third duration of the waking state;

If the first duration exceeds a fifth preset threshold, and/or the second duration is lower than a sixth preset threshold, and/or the third duration exceeds a seventh preset threshold;

Then it is concluded that there is a lack of sleep in a day.

Further, the collecting data also includes listening data, and after the step of acquiring a plurality of collecting data of the prison bracelets, includes:

Based on said surveillance data, record the length of time each individual has spoken to the wearer of the prison bracelet;

If the duration of conversation between the chatter and the prison bracelet wearer exceeds the eighth preset threshold;

then marking the interlocutor as an acquaintance of the prison bracelet wearer;

If there is an abnormality in the prison bracelet wearer, the close person will be locked directly.

Further, the early warning includes sending early warning information.

The present invention also provides an early warning device based on a prison bracelet, including:

An acquisition module, configured to acquire an indoor map of the room where multiple prison bracelets are located, and acquire multiple collection data of the prison bracelet, wherein the collection data at least includes physiological data and Bluetooth devices connected to the prison bracelet signal strength data;

A calculation module, configured to calculate the first position coordinates of a plurality of prison bracelets according to the signal strength data of the connection between the Bluetooth device and the prison bracelet;

A prison bracelet map forming module, configured to add a plurality of first position coordinates to the indoor map to form a prison bracelet map;

A connection module, configured to connect a plurality of first position coordinates in the prison bracelet map into a graph;

A regular graphic judging module, configured to determine whether the graphic is a regular graphic;

A first preset threshold judging module, configured to judge whether the physiological data exceeds a first preset threshold if not;

The early warning module is used to perform early warning if it is true.

The present application also provides a computer device, including a memory and a processor, the memory stores a computer program, and the processor implements the steps of any one of the methods described above when executing the computer program.

The present application also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of any one of the methods described above are realized.

Beneficial effect:

In the present invention, the abnormal situation is judged by utilizing the positional relationship and physiological state of the inmates. In prison places, the behavior of inmates will be regulated and restricted. Therefore, when multiple inmates are indoors, the positional relationship between each other will show a regular state. Multiple inmates will line up to wait and stay, and at this time, the positional relationship between inmates will be arranged regularly; or multiple inmates sit on seats in classrooms, canteens and other places, because the seats in these places are Therefore, the positional relationship among these inmates also presents a regular arrangement. Therefore, when multiple inmates are in the room, the positional relationship between each other is arranged irregularly, which means that these inmates may have abnormal situations such as fighting Case. At this time, use some physiological data of the prisoners to make judgments, for example, the heart rate or breathing rate of multiple prisoners increases, so that it can be determined that there is a fight between these prisoners, and then directly carry out early warning actions, Help correctional staff quickly quell these unusual or violent incidents. This early warning method is simple and effective, with low cost and a small amount of calculation, and can detect abnormal situations among prisoners in time to avoid the occurrence of vicious incidents.

Description of drawings

Fig. 1 is a schematic flow chart of an early warning method based on a prison bracelet according to an embodiment of the present invention;

Fig. 2 is a structural schematic block diagram of an early warning device based on a prison bracelet according to an embodiment of the present invention;

Fig. 3 is a schematic block diagram of a computer device according to an embodiment of the present invention.

The realization of the purpose of the present invention, functional characteristics and advantages will be further described in conjunction with the embodiments and with reference to the accompanying drawings.

Detailed ways

It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

Referring to Fig. 1, the present invention provides an embodiment, a kind of early warning method based on prison bracelet, comprising:

S1: Obtain the indoor map of the room where multiple prison bracelets are located, and acquire the collection data of multiple prison bracelets, wherein the collection data includes at least physiological data and the signal strength of the Bluetooth device connected to the prison bracelet data;

S2: According to the signal strength data of the connection between the Bluetooth device and the prison bracelet, calculate the first position coordinates of a plurality of the prison bracelets;

S3: Correspondingly adding a plurality of the first position coordinates to the indoor map to form a prison bracelet map;

S4: Connecting multiple first position coordinates in the prison bracelet map into a graph;

S5: judging whether the graph is a regular graph;

S6: If not, judge whether the physiological data exceeds a first preset threshold;

S7: If yes, give an early warning.

In the above-mentioned embodiments, inmates generally move indoors, and the activity areas usually include prison cells, classrooms, interview rooms, production and labor workshops, and the like. Compared with the outdoors with a wide view, the indoor environment is more complex and there are more obstacles. Blocking objects will block the line of sight of the correctional staff, or if there are many people in the room, it will also block the correctional staff's realization. If there is a fight between the inmates, the correctional staff may not be able to find out in time. The use of prison bracelets for early warning of fights and fights can help correctional officers discover abnormal situations among prisoners in a timely manner.

In the present invention, the abnormal situation is judged by utilizing the positional relationship and physiological state of the inmates. In prison places, the behavior of inmates will be regulated and restricted. Therefore, when multiple inmates are indoors, the positional relationship between each other will show a regular state. Multiple inmates will line up to wait and stay, and at this time, the positional relationship between inmates will be arranged regularly; or multiple inmates sit on seats in classrooms, canteens and other places, because the seats in these places are Therefore, the positional relationship among these inmates also presents a regular arrangement. Therefore, when multiple inmates are in the room, the positional relationship between each other is arranged irregularly, which means that these inmates may have abnormal situations such as fighting Case. At this time, use some physiological data of the prisoners to make judgments, for example, the heart rate or breathing rate of multiple prisoners increases, so that it can be determined that there is a fight between these prisoners, and then directly carry out early warning actions, Help correctional staff quickly quell these unusual or violent incidents. This early warning method is simple and effective, with low cost and a small amount of calculation, and can detect abnormal situations among prisoners in time to avoid the occurrence of vicious incidents.

As described in the above step S1, the indoor map of the room where multiple prison bracelets are located is obtained, and the collection data of multiple prison bracelets is obtained, wherein the collection data includes physiological data and bluetooth devices and the prison bracelet Signal strength data for the connection;

After a prisoner wearing a prison bracelet enters a certain room, he needs to obtain an indoor map of the room. Specifically, it is possible to collect, mark and store all the map data of the supervision place. If a map of a certain room is needed, the corresponding map data can be retrieved according to the mark of this room.

Prison bracelets worn by inmates include heart rate monitoring modules, body temperature monitoring modules, blood pressure monitoring modules, Bluetooth modules, etc. Prison bracelets collect various data through these modules, including physiological data, monitoring data, and Bluetooth devices. The signal strength data of the wristband connection. The system uses this data for calculations.

As described in the above step S2, according to the signal strength data of the connection between the Bluetooth device and the prison bracelet, calculate the first position coordinates of a plurality of the prison bracelets;

The bluetooth device is a kind of equipment that supports the bluetooth wireless connection, because in the present invention, the bluetooth device needs to access multiple prison bracelets, so the bluetooth local area network can be installed indoors in the supervision place, and the local area network can be configured as a multi-user basis Network connection mode, and ensure that the Bluetooth device is always the master device of this Bluetooth LAN. Specifically, the Bluetooth device can be a Bluetooth router. The Bluetooth router adopts two-way communication technology, supports simultaneous connection of up to 40 devices, and can scan more than 300 Bluetooth broadcast packets per second.

Bluetooth devices are equipped with Bluetooth broadcasting, Bluetooth scanning and Bluetooth connection functions. Bluetooth devices continuously transmit their own Bluetooth broadcast information to the surroundings. Bluetooth broadcast information. The closer the prison bracelet is to the Bluetooth device, the stronger the signal strength received by the prison bracelet, and the larger the signal strength data; the farther the prison bracelet is from the Bluetooth device, the weaker the signal strength received by the prison bracelet. The smaller the data. According to the signal strength value, the distance between the prison bracelet and the Bluetooth device can be obtained, and then the first position coordinates of the prison bracelet can be obtained according to the position of the Bluetooth device on the indoor map. This method does not have high requirements on the time system, and is not affected by factors such as transmission delay and antenna delay. It can use the signal strength data of the connection between the Bluetooth device and the prison bracelet and the location of the Bluetooth device to calculate the prison hand without additional hardware. The first position coordinates of the ring, so the hardware cost, software cost and time cost are relatively low, the use method is simple, and it has the significant advantages of low cost, low energy consumption, low complexity and high sensitivity.

As described in the above steps S3 and S4, a plurality of the first position coordinates are correspondingly added to the indoor map to form a prison bracelet map;

Add each prison bracelet to the indoor map according to the coordinates of the first position to form a prison bracelet map.

As described in the above steps S4 and S5, connecting a plurality of the first position coordinates in the prison bracelet map into a graph; judging whether the graph is a regular graph;

The prison bracelet map includes location information for each prison bracelet. The positions of these prison bracelets are used as connection points, and the connection points of these prison bracelet positions are connected on the prison bracelet map, and connected into lines to form a graph. If this graph is a regular graph, it means that the positional relationship among multiple inmates is regular, that is, the inmates act in this room as a norm, and there is no fighting. Specifically, the regular graphics may be bars, squares, rectangles and the like. For example, if the graph is bars, inmates are queuing. If this graph is not a regular graph, but an irregular graph, it means that the inmates are gathering in disorder, and there may be fights.

As mentioned above in steps S6 and S7, if not, it is judged whether the physiological data exceeds the first preset threshold; if yes, an early warning is given.

Now it is necessary to further judge whether the prisoners are fighting or not. Use the physiological data collected by prison bracelets, including heart rate and breathing rate. If a person engages in strenuous exercise such as fighting, his heart rate and breathing rate will increase. Therefore, if the prisoner's physiological data exceeds the first preset threshold , then it can be determined that there is a fight among the inmates, and at this time, early warning behavior can be carried out. The specific early warning behavior can be to send early warning information to correctional personnel, or to use prison bracelets or loudspeakers to send warning information to prison inmates, etc.

In one embodiment, the step S2 of calculating the first position coordinates of multiple prison bracelets according to the signal strength data of the connection between the Bluetooth device and the prison bracelet includes:

S201: Calculate the distance between each of the Bluetooth devices and the prison bracelet according to the signal strength data;

S202: Obtain the second position coordinates of each of the Bluetooth devices;

S203: Calculate the first position coordinates of the prison bracelet according to the second position coordinates of each of the Bluetooth devices and the distance between each of the Bluetooth devices and the prison bracelet.

In the above embodiment, as described in the above step S201, the bluetooth device is used as the sending end to continuously transmit its own bluetooth broadcast information to the surroundings, and the prison bracelet is used as the receiving end to receive the bluetooth broadcast information. Or the Bluetooth device can also be used as the receiving end, and the prison bracelet as the sending end. The farther the receiver is from the transmitter, the weaker the received signal strength value; the closer the receiver is to the transmitter, the stronger the received signal strength value. The signal strength value of the wireless signal received by the receiving end is generally a negative value. The larger the signal strength value, the stronger the signal. The signal strength value ranges from 0 to -100, and 0 is an ideal situation. exist.

The formula d=10^(abs(RSSI)-A)/(10*n)) can be used to calculate the distance between each Bluetooth device and the prison bracelet. Among them, d is the distance between the Bluetooth device and the prison bracelet, RSSI is the signal strength data (negative value), A is the signal strength when the transmitting end and the receiving end are separated by 1 meter, n is the environmental attenuation factor, and the values of A and n need to be adjusted The environmental attenuation factors of different sites are different, and even the obstacles of different objects in the same site will affect the environmental attenuation factors. But in the same venue, A and n can be set as parameters to take default values.

As described in steps S202 and S203 above, generally multiple Bluetooth devices are set up indoors, and the position of each Bluetooth device is fixed. The end is the position of the prison bracelet, that is, the signal at the transmitting end spreads outward 360 degrees to form the intersection point of the sphere, and then calculates the first position coordinates of the prison bracelet.

In one embodiment, after the step S3 of adding a plurality of the first position coordinates to the indoor map to form the prison bracelet map, it includes:

S301: Input the prison bracelet map and the physiological data into the neural network model for calculation, and obtain the probability value of fighting by the prison bracelet wearer, wherein the neural network model is trained by the training set;

S302: Determine whether the probability value exceeds a second preset threshold;

S303: If yes, perform an early warning.

In the above-mentioned embodiment, the training set includes the positional relationship and physiological data of each person in multiple fighting scenes, and the neural network model has the ability of autonomous learning, and the neural network model is trained through the training set, which can improve the prediction of the neural network model ability. Input the prison bracelet map and physiological data into the trained neural network model, and the neural network model can output the probability value that the current scene is a fight scene. If the probability value exceeds the second preset threshold, it means that the scene is a fight scene Scenes.

Or you can use the positional relationship and physiological data of each person in multiple normal scenes to form a training set, and input the prison bracelet map and physiological data into the trained neural network model, then the neural network model can output the current scene as a normal scene. Probability value, if the probability value exceeds the preset threshold, it indicates that the scene is a normal scene.

Or you can train two neural networks at the same time, use the positional relationship and physiological data of each person in multiple fighting scenes to train the neural network into the first neural network, and use the positional relationship and physiological data of each person in multiple normal scenes to train the neural network. The network is trained as a second neural network, and then the prison bracelet map and physiological data are input into the two neural networks, and then the results predicted by the two neural networks are weighted and summed to obtain the final result. Using this method to make predictions can make judgments more accurate.

In one embodiment, after the step S1 of acquiring a plurality of collection data of the prison bracelets, it includes:

S101: According to the physiological data, determine whether there is insufficient sleep in one day;

S102: If it occurs, calculate the number of days for which the lack of sleep continues;

S103: If the number of continuous days exceeds the fourth preset threshold, perform an early warning.

In the above-mentioned embodiments, sleep conditions are closely related to a person's physical health and mental health. In order to improve the effect of reformation and management, attention should be paid to the sleep conditions of inmates in time. If inmates suffer from insufficient sleep for a long time, early warning should be given. Send this information to the correctional staff.

The prison bracelet will collect the physiological data of the inmates, and then the system will judge the sleep conditions of the inmates based on these physiological data. Determine whether the inmates have insufficient sleep in consecutive days. Specifically, if the prisoner has insufficient sleep on a certain day, record the number of days that the prisoner has insufficient sleep as 1; then judge whether the number of days that the prisoner has insufficient sleep exceeds the fourth preset threshold, if not Exceed, then next day then judge whether this prisoner has the situation of lack of sleep, if so, then the number of days that this prisoner has insufficient sleep is recorded as 2; Set the threshold, and so on, to judge and accumulate, if the number of days in which the prisoner suffers from insufficient sleep exceeds the fourth preset threshold, an early warning will be given; if the prisoner does not suffer from insufficient sleep within one day, the The number of days in which the inmates suffered from insufficient sleep was counted as 0.

In one embodiment, the step S101 of judging whether a lack of sleep occurs within a day based on physiological data includes:

S111: Judging the sleep state according to the physiological data, wherein the sleep state includes a light sleep state, a deep sleep state, and an awake state;

S112: Record the first duration of the light sleep state, the second duration of the deep sleep state, and the third duration of the waking state;

S113: If the first duration exceeds a fifth preset threshold, and/or the second duration is lower than a sixth preset threshold, and/or the third duration exceeds a seventh preset threshold;

S114: it is obtained that there is insufficient sleep in one day.

In the above-mentioned embodiments, the physiological data includes heart rate, breathing rate, and body movement amplitude and times. According to the heart rate, breathing rate, and body movement range and frequency, it can be judged whether the prisoner is in a light sleep state, a deep sleep state, or a wake-up state.

Then record the first duration of the light sleep state, the second duration of the deep sleep state, and the third duration of the waking state.

The human body is generally in a deep sleep state to get enough rest. If the light sleep state lasts for too long, it will cause damage to the human body. If the first duration exceeds the fifth preset threshold, it can be judged that the prisoner has a lack of sleep in one day; Insufficient sleep; or if the third duration is lower than the seventh preset threshold, it can be judged that the prisoner has insufficient sleep in one day.

In one embodiment, the collection data also includes monitoring data, after the step S1 of obtaining a plurality of collection data of the prison bracelets, it includes:

S121: According to the monitoring data, record the duration of each person's conversation with the prison bracelet wearer;

S122: If the duration of conversation between the chatter and the prison bracelet wearer exceeds the eighth preset threshold;

S123: mark the chatter as a close person of the prison bracelet wearer;

S124: If the prison bracelet wearer is abnormal, directly lock the close person.

In the above-mentioned embodiment, the intimacy identification of the relationship between inmates is carried out through the prison bracelet. Using voice recognition technology, use the identity library to identify the identity of the person who talks to the prison bracelet wearer, and the identity library stores the identity of the person in the supervision place. If the identity does not exist in the identity store, the person is marked and stored. Then record the number and time of chatting with the current prison bracelet wearer. If the number of chats and the time reach the eighth preset threshold, the person will be marked as a close person of the prison bracelet wearer. If the current bracelet wearer appears For any psychological problem, the close person can be directly locked, and the correctional staff can more effectively help the prison bracelet wearer to solve the psychological problem through the close person.

In an embodiment, the early warning includes sending early warning information.

In the above-mentioned embodiment, if it is judged that there is currently a fight, an early warning will be given. The operation of the early warning includes sending the current location of multiple prison bracelets to the management system, and the management system sends the early warning information to the terminal of the nearest prison staff, so that the prison staff can stop the fight as quickly as possible.

The application also provides a prison bracelet-based early warning device, including:

The acquiring module 10 is configured to acquire an indoor map of a room where multiple prison bracelets are located, and acquire multiple collection data of the prison bracelets, wherein the collection data includes at least physiological data and bluetooth devices and prison bracelets Signal strength data for the connection;

Calculation module 20, for calculating the first position coordinates of a plurality of prison bracelets according to the signal strength data connected between the Bluetooth device and the prison bracelet;

A prison bracelet map forming module 30, configured to add a plurality of first position coordinates to the indoor map to form a prison bracelet map;

A connection module 40, configured to connect a plurality of first position coordinates in the prison bracelet map into a graph;

A regular graphic judging module 50, configured to determine whether the graphic is a regular graphic;

A first preset threshold judging module 60, configured to judge whether the physiological data exceeds a first preset threshold if not;

The early warning module 70 is configured to perform early warning if yes.

Referring to FIG. 3 , an embodiment of the present application further provides a computer device, and the computer device may be a server. The computer device includes a processor, memory, network interface and database connected by a system bus. Among them, the processor designed by the computer is used to provide calculation and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs and databases. The memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for physiological data, listening data and the like. The network interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, the prison bracelet-based early warning method described in any of the above embodiments can be realized

The embodiment of the present application also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the early warning method based on the prison bracelet described in any of the above-mentioned embodiments can be realized.

Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above-mentioned embodiments can be completed by instructing related hardware through computer programs, and the computer programs can be stored in a non-volatile computer-readable memory In the medium, when the computer program is executed, it may include the processes of the embodiments of the above-mentioned methods. Wherein, any references to memory, storage, database or other media provided in the present application and used in the embodiments may include non-volatile and/or volatile memory. Nonvolatile memory can include read only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (SSRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

It should be noted that, in this document, the terms "comprising", "comprising" or any other variation thereof are intended to cover a non-exclusive inclusion such that a process, apparatus, article or method comprising a set of elements includes not only those elements, It also includes other elements not expressly listed, or elements inherent in the process, apparatus, article, or method. Without further limitations, an element defined by the phrase "comprising a..." does not preclude the presence of additional identical elements in the process, apparatus, article or method comprising that element.

The above descriptions are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made by using the description of the present invention and the contents of the accompanying drawings, or directly or indirectly used in other related All technical fields are equally included in the scope of patent protection of the present invention.

Claims (10)

1. An early warning method based on a prison bracelet is characterized by comprising the following steps:

the method comprises the steps of obtaining an indoor map of a room where a plurality of prison bracelets are located, and obtaining collected data of the plurality of prison bracelets, wherein the collected data at least comprise physiological data and signal intensity data of Bluetooth equipment connected with the prison bracelets;

calculating first position coordinates of the plurality of the prison bracelets according to signal intensity data of the connection between the Bluetooth device and the prison bracelets;

correspondingly adding the first position coordinates to the indoor map to form a prison bracelet map;

connecting a plurality of first position coordinates in the prison bracelet map into a graph;

judging whether the graph is a regular graph or not;

if not, judging whether the physiological data exceeds a first preset threshold value or not;

and if so, early warning is carried out.

2. The prison bracelet-based early warning method according to claim 1, wherein the step of calculating first position coordinates of a plurality of the prison bracelets according to signal strength data of the connection of the Bluetooth device and the prison bracelets comprises:

calculating the distance between each Bluetooth device and the prison bracelet according to the signal intensity data;

acquiring a second position coordinate of each Bluetooth device;

and calculating the first position coordinate of the prison bracelet according to the second position coordinate of each Bluetooth device and the distance between each Bluetooth device and the prison bracelet.

3. The prison bracelet-based early warning method according to claim 2, wherein the step of correspondingly adding a plurality of first position coordinates to the indoor map to form a prison bracelet map comprises the following steps:

inputting the prison bracelet map and the physiological data into a neural network model for calculation to obtain a probability value of fighting a prison bracelet wearer, wherein the neural network model is trained by a training set;

judging whether the probability value exceeds a second preset threshold value or not;

and if so, early warning is carried out.

4. The prison bracelet-based early warning method according to claim 1, wherein the step of acquiring collected data of a plurality of the prison bracelets is followed by the steps of:

judging whether the condition of insufficient sleep occurs in one day or not according to the physiological data;

if yes, calculating the number of days for which the insufficient sleep condition lasts;

and if the continuous days exceed a fourth preset threshold value, early warning is carried out.

5. The prison bracelet-based early warning method according to claim 4, wherein the step of determining whether a sleep deficiency condition occurs within one day according to physiological data comprises:

judging a sleep state according to the physiological data, wherein the sleep state comprises a light sleep state, a deep sleep state and a wake-up state;

recording a first duration of the light sleep state, a second duration of the deep sleep state and a third duration of the wake-up state;

and if the first time length exceeds a fifth preset threshold, and/or the second time length is lower than a sixth preset threshold, and/or the third time length exceeds a seventh preset threshold, obtaining that the condition of insufficient sleep occurs in one day.

6. The prison bracelet-based early warning method according to claim 1, wherein the collected data further comprises listening data, and the step of obtaining the collected data of a plurality of the prison bracelets is followed by:

recording the time length of the conversation between each person and the person wearing the prison bracelet according to the monitoring data;

if the time length of the conversation between the talker and the person wearing the prison bracelet exceeds an eighth preset threshold value;

marking the talker as an intimate person of the prison bracelet wearer;

and if the wearer of the prison bracelet has abnormal conditions, directly locking the close person.

7. The prison bracelet-based early warning method according to claim 1, wherein the early warning comprises sending early warning information.

8. The utility model provides an early warning device based on prison bracelet which characterized in that includes:

the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring indoor maps of rooms in which a plurality of prison bracelets are located and acquiring acquisition data of the plurality of prison bracelets, and the acquisition data at least comprises physiological data and signal intensity data of Bluetooth equipment connected with the prison bracelets;

the computing module is used for computing first position coordinates of the plurality of prison bracelets according to signal intensity data of the Bluetooth device connected with the prison bracelets;

the prison bracelet map forming module is used for correspondingly adding the first position coordinates to the indoor map to form a prison bracelet map;

the connecting module is used for connecting the first position coordinates in the prison bracelet map into a graph;

the regular graph judging module is used for judging whether the graph is a regular graph or not;

the first preset threshold judgment module is used for judging whether the physiological data exceeds a first preset threshold if the physiological data does not exceed the first preset threshold;

and the early warning module is used for early warning if the current time is longer than the preset time.

9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.

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