CN115148002B - Suicide prevention early warning method, device, equipment and storage medium based on Bluetooth positioning - Google Patents
Suicide prevention early warning method, device, equipment and storage medium based on Bluetooth positioning Download PDFInfo
- Publication number
- CN115148002B CN115148002B CN202210780303.4A CN202210780303A CN115148002B CN 115148002 B CN115148002 B CN 115148002B CN 202210780303 A CN202210780303 A CN 202210780303A CN 115148002 B CN115148002 B CN 115148002B
- Authority
- CN
- China
- Prior art keywords
- data
- early warning
- target
- supervision
- personnel
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2462—Approximate or statistical queries
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2477—Temporal data queries
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/029—Location-based management or tracking services
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/80—Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- General Physics & Mathematics (AREA)
- Probability & Statistics with Applications (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Computer Networks & Wireless Communication (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Computational Linguistics (AREA)
- Remote Sensing (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Alarm Systems (AREA)
Abstract
The invention discloses a suicide prevention early warning method, device and equipment based on Bluetooth positioning and a storage medium, and belongs to the technical field of personnel management. The method comprises the steps of obtaining identity information of a target person; configuring corresponding supervision conditions according to the identity information of the target personnel; acquiring real-time supervision data of a target person, wherein the real-time supervision data of the target person at least comprises one of space activity data, associated article data and mental health risk data of the target person; judging whether a target person meets a preset condition according to the relation between the supervision condition and the supervision data; if yes, sending out early warning prompt information. According to the Bluetooth positioning suicide prevention early warning method, device, equipment and storage medium, the target object is effectively monitored, and the suicide prevention alarm timeliness and accuracy are improved.
Description
Technical Field
The invention belongs to the technical field of personnel management, and particularly relates to a method, a device, equipment and a storage medium for preventing suicide and early warning based on Bluetooth positioning.
Background
At present, most of the monitoring in places is carried out by staring at a monitoring picture by eyes, connecting multiple paths of cameras in the places to a unified monitoring platform and displaying the unified monitoring platform on a spliced large screen or a local PC (personal computer), and judging whether the target object has abnormal actions such as climbing, wall collision, loitering, strenuous exercise and the like by people while browsing the monitoring picture in each area in real time. The mode of staring at the monitoring picture by the human eyes can achieve the effect of preventing the suicide of the target object to a certain extent, but has the following defects: 1. the labor cost is too high, the browsing monitoring capability is limited, and the monitoring police deployed in the same time period cannot cover all monitoring pictures; 2. certain controlled dangerous objects in the place, such as tape measures, steel bars and the like, can be inadvertently stolen by a target object; 3. the mental health of the person under supervision cannot be analyzed in multiple dimensions.
Therefore, it is needed to provide a method for early warning against suicide, so as to improve accuracy and timeliness of prediction of risk of suicide.
Disclosure of Invention
1. Problems to be solved
Aiming at the problems in the prior art, the invention provides a method, a device, equipment and a computer storage medium for preventing suicide based on Bluetooth positioning, which effectively monitor a target object and analyze the behavior of the target object through multiple data dimensions, thereby improving the timeliness and the accuracy of the suicide prevention alarm.
2. Technical proposal
In order to solve the problems, the invention adopts the following technical scheme.
As one aspect of the invention, a method for preventing suicide and early warning based on Bluetooth positioning is provided, which comprises the following steps:
Acquiring identity information of a target person;
configuring corresponding supervision conditions according to the identity information of the target personnel;
Acquiring real-time supervision data of a target person, wherein the real-time supervision data of the target person at least comprises one of space activity data, associated article data and mental health risk data of the target person;
judging whether a target person meets a preset condition according to the relation between the supervision condition and the supervision data;
if yes, sending out early warning prompt information.
Further, the step of judging whether the target person meets the preset condition according to the relationship between the supervision condition and the supervision data at least comprises the following steps:
Acquiring real-time space activity data of a target person, wherein the space activity data at least comprises one or more of two-dimensional positioning data, three-dimensional space height data, acceleration data, peripheral personnel quantity statistical data and manual or automatic roll call statistical data of the target person;
Judging whether the target personnel meet preset conditions according to the relation between the real-time space activity data of the target personnel and the supervision conditions;
if yes, sending out early warning prompt information.
Further, the method judges whether the target personnel meet the preset condition according to the relation between the real-time space activity data and the supervision condition of the target personnel, if yes, sends out early warning prompt information, and at least comprises:
judging whether the target person leaves the safe activity area or stays in the specific area for too long time according to the real-time two-dimensional positioning data of the target person; if yes, sending out early warning prompt information, otherwise, not sending out;
judging whether the target personnel are out of group or fall on a bill according to the real-time two-dimensional positioning data of the target personnel and the number statistical data of the peripheral personnel; if yes, sending out early warning prompt information, otherwise, not sending out;
Judging whether the height position of the target person exceeds the rated threshold value of the target person according to the real-time three-dimensional space height data of the target person; if yes, sending out early warning prompt information, otherwise, not sending out;
judging whether the real-time acceleration of the target person exceeds the rated threshold value of the target person according to the real-time acceleration data of the target person; if yes, sending out early warning prompt information, otherwise, not sending out;
Judging whether the target person is not named according to the manual or automatic roll call statistical data of the target person; if yes, sending out early warning prompt information, otherwise, not sending out.
Further, the step of judging whether the target person meets the preset condition according to the relationship between the supervision condition and the supervision data at least comprises the following steps:
acquiring associated article data of a target person, wherein the associated article data at least comprises one or two of private article data and labor tool data of the target person;
Judging whether the target personnel meet preset conditions according to the relation between the associated article data of the target personnel and the supervision conditions;
if yes, sending out early warning prompt information.
Further, the method judges whether the target person meets the preset condition according to the relation between the related article data and the supervision condition of the target person, if yes, sends out early warning prompt information, and at least comprises:
Positioning the private articles of the target personnel, if the private articles of the target personnel are in abnormal positions and/or the height exceeds a rated threshold value, sending out early warning prompt information, otherwise, not sending out the early warning prompt information;
And positioning the labor tool of the target person, if the labor tool of the target person is in an abnormal position and/or leaves the rated area, sending out early warning prompt information, otherwise, not sending out.
Further, the step of judging whether the target person meets the preset condition according to the relationship between the supervision condition and the supervision data at least comprises the following steps:
acquiring psychological health risk data of a target person, wherein the psychological health risk data at least comprises statistical data of interview relatives of the target person and psychological counseling statistical data;
judging whether the target personnel meet preset conditions according to the relation between the psychological health risk data and the supervision conditions of the target personnel;
if yes, sending out early warning prompt information.
Further, the method judges whether the target person meets the preset condition according to the relationship between the mental health risk data and the supervision condition of the target person, if yes, sends out early warning prompt information, and at least comprises:
Acquiring statistics data of relative interviews of target personnel, wherein the statistics data of the relative interviews of the target personnel at least comprise one or more of the number and frequency of the relative interviews and the duration and frequency of each interview;
pushing the statistical data of the relatives of the target personnel to the supervisory personnel for manual scoring, and judging whether the scoring result exceeds the ruled lines; if not, sending out early warning prompt information, otherwise, not sending out; and:
obtaining statistical data of psychological counseling of target personnel, wherein the statistical data of psychological counseling of the target personnel at least comprises the frequency and the frequency of psychological counseling and the result of each psychological counseling;
pushing the statistical data of the target personnel subjected to psychological coaching to a supervisory personnel for manual scoring, and judging whether the scoring result exceeds the ruled lines; if not, sending out early warning prompt information, otherwise, not sending out.
As a second aspect of the present application, there is provided a suicide prevention early warning device based on bluetooth positioning, including:
the identity recognition module is used for acquiring the identity information of the target personnel;
The supervision condition configuration module is used for configuring corresponding supervision conditions according to the identity information of the target personnel obtained by the identification of the identity identification module;
The monitoring data statistics module is used for acquiring real-time monitoring data of target personnel, wherein the real-time monitoring data of the target personnel at least comprise at least one of space activity data, associated article data and mental health risk data of the target personnel;
the judging module is used for judging whether the target personnel meet the preset conditions according to the relationship between the supervision data obtained by statistics of the supervision data statistics module and the supervision conditions configured by the supervision condition configuration module;
And the early warning module is used for sending out early warning prompt information.
As a third aspect of the present application, there is provided a suicide-preventing early warning device based on bluetooth positioning, comprising:
a memory for storing a computer program;
and the processor is used for realizing the steps of the anti-suicide early warning method based on Bluetooth positioning when executing the computer program.
As a fourth aspect of the present application, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the bluetooth positioning-based anti-suicide early warning method as set forth in any one of the above.
3. Advantageous effects
Compared with the prior art, the invention has the beneficial effects that:
Compared with the prior art, the invention utilizes Bluetooth positioning to prevent personnel suicide in supervision places, and from three aspects of controlling articles, focused nursing and ideological education, articles are controlled by attaching Bluetooth positioning labels to production tools and living appliances, which are required to be subjected to article checking at irregular intervals, thereby avoiding illegal articles in supervision places from being reserved and used irregularly, and realizing positioning management of tools in labor sites and avoiding potential safety hazards; in the aspect of focused care, a monitored person is worn with a Bluetooth positioning tag, and some behaviors possibly appearing later by a criminal are judged through some abnormal position changes, so that the situation that the criminal does not fall off the sheet, stays and is not out of the tube in the whole period is realized; in the aspect of ideological education, the Bluetooth positioning labels worn by the supervised person are utilized to count the frequency and duration of the relatives interview, the relatives telephone and the management and education talking at ordinary times of the supervised person, and psychological consultation is developed pertinently according to the statistics result and is guided actively; the behaviors of the target object are analyzed through multiple data dimensions, so that the target object is effectively monitored, and the timeliness and the accuracy of suicide prevention and alarm are improved.
Drawings
Fig. 1 is a flowchart of a method for early warning of suicide prevention based on bluetooth positioning according to an embodiment of the present invention;
Fig. 2 is a block diagram of a bluetooth positioning-based suicide prevention early warning device according to an embodiment of the present invention.
Detailed Description
The invention has the core of providing a suicide prevention early warning method based on Bluetooth positioning, which analyzes the behavior of a target object more objectively through specific quantitative data of multiple dimensions such as space, time, motion state, associated article data, psychological health risk data and the like, thereby realizing effective monitoring of the target object and improving the timeliness and accuracy of suicide prevention alarm; another core of the invention is to provide a device, equipment and computer readable storage medium for preventing suicide pre-warning of bluetooth positioning.
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, in an embodiment for reference, a method for early warning of suicide prevention based on bluetooth positioning is provided, which includes the following steps:
S100, acquiring identity information of a target person; in this embodiment, the main purpose of obtaining the identity information of the target person is to configure different supervision conditions according to different identity information of different target persons in the next step, where the identity information of the target person may include multiple kinds of name, age, height, weight, number information of the target person, and the like; in addition, it should be noted that, in order to better describe the technical solution in this embodiment, in the following embodiments, the target person may be described as a monitored person, and the monitored person may be described as a police, an assistant police, or the like.
S200, configuring corresponding supervision conditions according to identity information of target personnel; in this embodiment, the supervision conditions corresponding to the identity information configurations of different target personnel may be the same or different, for example, the positions and the ranges of the security areas of the activities specified by the target personnel a and B may be the same or different; similarly, in space, since the heights of the two bodies may be the same or different, the preset three-dimensional space height data of the two bodies may be different;
s300, acquiring real-time supervision data of a target person, wherein the real-time supervision data of the target person at least comprises one of space activity data, associated article data and mental health risk data of the target person;
In this embodiment, the spatial activity data of the target person at least includes one or more of two-dimensional positioning data, three-dimensional space height data, acceleration data, statistics data of the number of surrounding persons, and manual or automatic roll call statistics data of the target person;
s400, judging whether a target person meets a preset condition according to the relation between the supervision condition and the supervision data;
if yes, sending out early warning prompt information.
Further, the step of judging whether the target person meets the preset condition according to the relationship between the supervision condition and the supervision data at least comprises the following steps:
Acquiring real-time space activity data of a target person, wherein the space activity data at least comprises one or more of two-dimensional positioning data, three-dimensional space height data, acceleration data, peripheral personnel quantity statistical data and manual or automatic roll call statistical data of the target person; the associated article data of the target person at least comprises one or two of private article data and labor tool data of the target person; the psychological health risk data of the target personnel at least comprise statistical data of interview relatives of the target personnel and psychological counseling statistical data; according to the method, behaviors of the target object are analyzed through data dimensions of spatial activity data, associated article data and mental health risk data of the target person, so that the target object is expected to be effectively monitored;
Judging whether the target personnel meet preset conditions according to the relation between the real-time space activity data of the target personnel and the supervision conditions;
if yes, sending out early warning prompt information.
In a preferred embodiment, the determining, according to the relationship between the real-time spatial activity data of the target person and the supervision condition, whether the target person meets the preset condition, if yes, sending out early warning prompt information at least includes:
judging whether the target person leaves the safe activity area or stays in the specific area for too long time according to the real-time two-dimensional positioning data of the target person; if yes, sending out early warning prompt information, otherwise, not sending out;
judging whether the target personnel are out of group or fall on a bill according to the real-time two-dimensional positioning data of the target personnel and the number statistical data of the peripheral personnel; if yes, sending out early warning prompt information, otherwise, not sending out;
Judging whether the height position of the target person exceeds the rated threshold value of the target person according to the real-time three-dimensional space height data of the target person; if yes, sending out early warning prompt information, otherwise, not sending out;
judging whether the real-time acceleration of the target person exceeds the rated threshold value of the target person according to the real-time acceleration data of the target person; if yes, sending out early warning prompt information, otherwise, not sending out;
Judging whether the target person is not named according to the manual or automatic roll call statistical data of the target person; if yes, sending out early warning prompt information, otherwise, not sending out.
In the above-described embodiment, whether or not suicide is possible is determined by whether or not there is a drop-out condition of the person under supervision (target person). The main measure is to monitor the position of the Bluetooth positioning tag worn by the person to be monitored and the number of surrounding persons. Under the general condition, the supervision place implements the inclusion and the mutual supervision degree on each supervised person, does not leave the person, does not take off the tube or put a list in the whole period, and requires the persons in the same mutual supervision group to monitor the line each other for 24 hours, but the situation that the series of people cannot be reported cannot be eliminated in the actual scene, so that the position information of each supervised person is judged through the Bluetooth positioning system, and once the positioning system recognizes that the situation that the mutual supervision person does not exist in a certain range around the supervised person, an alarm is triggered, and the positioning system can judge that the supervised person possibly has the abnormal situation about to suicide. In the anti-suicide algorithm, different mutual monitoring numbers are independently set for various monitored personnel.
In the above embodiment, whether suicide is possible is determined by whether or not there is an offending detention condition of the supervised person. The position of the Bluetooth positioning tag worn by the person to be monitored and the stay time length of the person to be monitored in a specific area are monitored, the monitoring room of the monitoring place is the area where the person to be monitored mainly lives in the general case, but certain areas in the monitoring room are not allowed to stay for a long time, such as a toilet area and an active area, the situation that the person to be monitored stays in the areas in a violation manner to cause suicide may exist in an actual scene, so that the position information of each person to be monitored and the stay time length of the specific area are judged through the Bluetooth positioning system, and an alarm is triggered once the positioning system recognizes that the stay time of the person to be monitored in the specific area exceeds a preset threshold value, and the positioning system judges that the person to be monitored may have an abnormal situation about to suicide.
In the above embodiment, whether suicide is possible is determined by the roll call situation of the supervised person at the labor location. The monitored personnel wear Bluetooth positioning labels and then roll calls in the labor place, and in the normal case, the fact that the properties of the labor place and the monitoring room are different is considered, so that frequent roll calls are needed for the monitored personnel in the labor state, whether each monitored personnel exists or not and whether the monitored personnel is in the labor area where the monitored personnel should be located or not are judged through the Bluetooth positioning system, when the monitored personnel do not roll calls once the positioning system is on, the monitoring personnel are not on the corresponding labor area for a certain number of times, an alarm is triggered, and the positioning system can judge that the monitored personnel possibly have abnormal situations about to suicide.
In the above embodiment, whether suicide is possible is determined by whether the relative height of the position of the supervised person is abnormal. The height of the tag can be identified in the positioning system after the monitored person wears the Bluetooth positioning tag, and in general, if the monitored person only stretches or jumps, the abnormal alarm of the Z axis (height) can not be triggered, once the positioning system identifies that the height of the monitored person exceeds a preset threshold value and can trigger the alarm after a period of time, the positioning system can judge that the monitored person possibly has the abnormal condition of lifting suicide.
In the above embodiment, whether or not suicide is possible is determined by whether or not the positional acceleration of the supervised person is abnormal. The monitored person can recognize the acceleration of the tag in the positioning system after wearing the Bluetooth positioning tag, and in general, if the monitored person only has simple activities, the monitored person can not trigger the abnormal acceleration alarm, once the positioning system recognizes that the acceleration of the monitored person exceeds a preset threshold value and continues for a certain number of times, the positioning system can trigger the alarm, and the positioning system can judge that the monitored person possibly has abnormal conditions of wall collision and severe movement.
In a preferred embodiment, the determining whether the target person meets the preset condition according to the relationship between the supervision condition and the supervision data at least includes:
acquiring associated article data of a target person, wherein the associated article data at least comprises one or two of private article data and labor tool data of the target person;
Judging whether the target personnel meet preset conditions according to the relation between the associated article data of the target personnel and the supervision conditions;
if yes, sending out early warning prompt information.
More specifically, the method judges whether the target person meets the preset condition according to the relation between the related article data and the supervision condition of the target person, if yes, sends out early warning prompt information, and at least comprises:
Positioning the private articles of the target personnel, if the private articles of the target personnel are in abnormal positions and/or the height exceeds a rated threshold value, sending out early warning prompt information, otherwise, not sending out the early warning prompt information;
In the above embodiments, the personal article data of the target person is generally living appliances of the target person, such as a sheet, a towel, a quilt cover, or the like. In general, there are few systems for locating a living appliance, but in a real scene, there is a case of suicidal action by the living appliance, so in this embodiment, whether or not suicide is possible is determined by the position information of the living appliance. Firstly, judging whether the living appliances appear in abnormal positions or not through a Bluetooth positioning system, for example, the standard of a monitoring room is that the living appliances are used and stored in windows, a virtual fence area of the living appliances is planned in advance, and an alarm is triggered once the positioning system recognizes that the positions of the living appliances exceed the virtual fence; in order to prevent the person to be supervised from lifting and suicide through life appliances such as towels and quilt covers, the positioning system can judge the height of the life appliances through the Z-axis height in X, Y, Z three axes, and when the life appliances exceed a normal height threshold, the positioning system can judge that the condition of lifting and suicide possibly occurs;
Positioning the labor tool of the target person, if the labor tool of the target person is in an abnormal position and/or leaves the rated area, sending out early warning prompt information, otherwise, not sending out the early warning prompt information;
in the above embodiments, the general use of the target person includes a tape measure, a steel rule, pliers, and the like. There are few systems that locate the tools in general, but in actual situations there are situations where the supervising personnel steal the tools from the work site to suicide. It is determined whether suicide is possible or not by the position information of the labor tool in the present embodiment. The Bluetooth positioning system firstly judges whether the labor tool is in an abnormal position or not, and an alarm is triggered once the positioning system recognizes that the position of the labor tool exceeds a virtual fence of a labor place; meanwhile, the system can automatically count tools in a labor place at regular intervals, and when the labor tools are not counted by the system although the virtual fence alarm is not triggered, the positioning system can judge that the labor tools are likely to have abnormal conditions.
In a preferred embodiment, the determining whether the target person meets the preset condition according to the relationship between the supervision condition and the supervision data at least includes:
acquiring psychological health risk data of a target person, wherein the psychological health risk data at least comprises statistical data of interview relatives of the target person and psychological counseling statistical data;
judging whether the target personnel meet preset conditions according to the relation between the psychological health risk data and the supervision conditions of the target personnel;
if yes, sending out early warning prompt information.
More specifically, the method judges whether the target person meets the preset condition according to the relationship between the mental health risk data and the supervision condition of the target person, if yes, sends out early warning prompt information, and at least comprises:
Acquiring statistics data of relative interviews of target personnel, wherein the statistics data of the relative interviews of the target personnel at least comprise one or more of the number and frequency of the relative interviews and the duration and frequency of each interview;
pushing the statistical data of the relatives of the target personnel to the supervisory personnel for manual scoring, and judging whether the scoring result exceeds the ruled lines; if not, sending out early warning prompt information, otherwise, not sending out; and:
obtaining statistical data of psychological counseling of target personnel, wherein the statistical data of psychological counseling of the target personnel at least comprises the frequency and the frequency of psychological counseling and the result of each psychological counseling;
pushing the statistical data of the target personnel subjected to psychological coaching to a supervisory personnel for manual scoring, and judging whether the scoring result exceeds the ruled lines; if not, sending out early warning prompt information, otherwise, not sending out.
In this embodiment, whether there is a possibility of suicidal tendency is determined by counting the number of times the supervised person is talking to a policeman (supervising person) and whether the frequency is abnormal. Under the condition that the supervised person wears the Bluetooth positioning tag and the positioning base station is arranged in the police talking area, the times and the frequencies of the police talking of the supervised person can be counted, the supervised person can talk at least once every time in a regular time, the data can be recorded by the positioning system every time the police talking, and if the supervised person is not talked by the police for a long time or the talking time is too short, the positioning system can judge that the mind situation of the supervised person is possibly abnormal; the system carries out a statistical analysis after each time of police talking, reminds the police to pay attention to the mind situation of the monitored personnel, and carries out face-to-face communication with the monitored personnel when necessary.
In this embodiment, whether there is a possibility of suicidal tendency is determined by counting the number of times the family members of the supervised person meet and whether the frequency is abnormal. The monitored personnel wear Bluetooth positioning labels, under the condition that a positioning base station is arranged in a family meeting area, the frequency and the frequency of family meetings of the monitored personnel can be counted, the monitored personnel can have family meeting time every week in general, the positioning system records data for each family meeting, the monitored personnel can actively apply for the meeting under normal conditions, and if the monitored personnel does not have family meetings for a long time or the duration of each meeting is too short, the positioning system can judge that the mind situation of the monitored personnel possibly has abnormality such as unwilling to communicate with the outside or does not have family meetings before; at this time, the mind situation of the supervised person certainly fluctuates, the system performs a statistical analysis after each relative meeting, assists the policemen in judging the mind situation of the supervised person, performs face-to-face communication with the supervised person if necessary, and judges whether the criminal is abnormal.
According to the anti-suicide early warning method based on Bluetooth positioning, through specific quantitative data of multiple dimensions such as space, time, motion state, associated article data, psychological health risk data and the like, the behavior of a target object is analyzed with stronger objectivity, the effective monitoring of the target object is realized, and the timeliness and accuracy of anti-suicide alarm are improved.
In another preferred embodiment, please refer to fig. 2, a bluetooth positioning-based suicide prevention early warning device is provided, which includes:
the identity recognition module is used for acquiring the identity information of the target personnel;
The supervision condition configuration module is used for configuring corresponding supervision conditions according to the identity information of the target personnel obtained by the identification of the identity identification module;
The monitoring data statistics module is used for acquiring real-time monitoring data of target personnel, wherein the real-time monitoring data of the target personnel at least comprise at least one of space activity data, associated article data and mental health risk data of the target personnel;
the judging module is used for judging whether the target personnel meet the preset conditions according to the relationship between the supervision data obtained by statistics of the supervision data statistics module and the supervision conditions configured by the supervision condition configuration module;
And the early warning module is used for sending out early warning prompt information.
The functions of each functional module of the anti-suicide early warning device based on bluetooth positioning according to the embodiment of the present invention may be specifically implemented according to the method in the embodiment of the method, and the specific implementation process may refer to the related description of the embodiment of the method, which is not repeated herein.
The anti-suicide early warning device based on Bluetooth positioning is described from the angle of a functional module, and further, the application also provides anti-suicide early warning equipment based on Bluetooth positioning, which is described from the angle of hardware. The apparatus includes a memory for storing a computer program; and the processor is used for realizing the steps of the anti-suicide early warning method based on Bluetooth positioning when executing the computer program.
The processor may include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor may be implemented in at least one hardware form of DSP (DIGITAL SIGNAL Processing), FPGA (Field-Programmable gate array), PLA (Programmable Logic Array ). The processor may also include a main processor, which is a processor for processing data in an awake state, also called a CPU (Central ProcessingUnit ), and a coprocessor; a coprocessor is a low-power processor for processing data in a standby state. In some embodiments, the processor may incorporate a GPU (Graphics Processing Unit, image processor) for rendering and rendering of content to be displayed by the display screen. In some embodiments, the processor may also include an AI (ARTIFICIAL INTELLIGENCE ) processor for processing computing operations related to machine learning.
The memory may include one or more computer-readable storage media, which may be non-transitory. The memory may also include high-speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In this embodiment, the memory is at least used for storing a computer program, where the computer program, when loaded and executed by the processor, implements the steps of the bluetooth positioning-based anti-suicide early warning method according to any one of the above. In addition, the resources stored in the memory can also comprise an operating system, data and the like, and the storage mode can be short-term storage or permanent storage. The operating system may include Windows, unix, linux, among other things. The data may include, but is not limited to, data corresponding to test results, and the like.
The functions of each functional module of the anti-suicide early warning device based on bluetooth positioning according to the embodiment of the present invention may be specifically implemented according to the method in the embodiment of the method, and the specific implementation process may refer to the related description of the embodiment of the method, which is not repeated herein.
As can be seen from the above, according to the bluetooth positioning-based anti-suicide early warning device provided by the embodiment of the invention, the behavior of the target object is analyzed with stronger objectivity through specific quantitative data of multiple dimensions such as space, time, motion state, associated article data, mental health risk data and the like, so that the target object is effectively monitored, and the timeliness and accuracy of anti-suicide alarm are improved.
In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, so that the same or similar parts between the embodiments are referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative elements and steps are described above generally in terms of functionality in order to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Those skilled in the art may implement the described functionality using different approaches for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The anti-suicide early warning method based on Bluetooth positioning provided by the application is described in detail. The principles and embodiments of the present application have been described herein with reference to specific examples, the description of which is intended only to facilitate an understanding of the method of the present application and its core ideas. It should be noted that it will be apparent to those skilled in the art that various modifications and adaptations of the application can be made without departing from the principles of the application and these modifications and adaptations are intended to be within the scope of the application as defined in the following claims.
The examples of the present invention are merely for describing the preferred embodiments of the present invention, and are not intended to limit the spirit and scope of the present invention, and those skilled in the art should make various changes and modifications to the technical solution of the present invention without departing from the spirit of the present invention.
Claims (4)
1. A suicide prevention early warning method based on Bluetooth positioning is characterized in that: the method comprises the following steps:
Acquiring identity information of a target person;
configuring corresponding supervision conditions according to the identity information of the target personnel;
Acquiring real-time supervision data of a target person, wherein the real-time supervision data of the target person at least comprises one of space activity data, associated article data and mental health risk data of the target person;
judging whether a target person meets a preset condition according to the relation between the supervision condition and the supervision data;
If yes, sending out early warning prompt information;
And judging whether the target personnel meets the preset condition according to the relation between the supervision condition and the supervision data, wherein the method at least comprises the following steps:
Acquiring real-time space activity data of a target person, wherein the space activity data at least comprises one or more of two-dimensional positioning data, three-dimensional space height data, acceleration data, peripheral personnel quantity statistical data and manual or automatic roll call statistical data of the target person;
Judging whether the target personnel meet preset conditions according to the relation between the real-time space activity data of the target personnel and the supervision conditions;
If yes, sending out early warning prompt information;
Judging whether the target personnel meet the preset conditions according to the relation between the real-time space activity data and the supervision conditions of the target personnel, if so, sending out early warning prompt information, wherein the early warning prompt information at least comprises:
judging whether the target person leaves the safe activity area or stays in the specific area for too long time according to the real-time two-dimensional positioning data of the target person; if yes, sending out early warning prompt information, otherwise, not sending out;
judging whether the target personnel are out of group or fall on a bill according to the real-time two-dimensional positioning data of the target personnel and the number statistical data of the peripheral personnel; if yes, sending out early warning prompt information, otherwise, not sending out;
Judging whether the height position of the target person exceeds the rated threshold value of the target person according to the real-time three-dimensional space height data of the target person; if yes, sending out early warning prompt information, otherwise, not sending out;
judging whether the real-time acceleration of the target person exceeds the rated threshold value of the target person according to the real-time acceleration data of the target person; if yes, sending out early warning prompt information, otherwise, not sending out;
Judging whether the target person is not named according to the manual or automatic roll call statistical data of the target person; if yes, sending out early warning prompt information, otherwise, not sending out;
And judging whether the target personnel meets the preset condition according to the relation between the supervision condition and the supervision data, wherein the method at least comprises the following steps:
acquiring associated article data of a target person, wherein the associated article data at least comprises one or two of private article data and labor tool data of the target person;
Judging whether the target personnel meet preset conditions according to the relation between the associated article data of the target personnel and the supervision conditions;
If yes, sending out early warning prompt information;
judging whether the target personnel meet the preset conditions according to the relation between the associated article data of the target personnel and the supervision conditions, if so, sending out early warning prompt information, wherein the early warning prompt information at least comprises:
Positioning the private articles of the target personnel, if the private articles of the target personnel are in abnormal positions and/or the height exceeds a rated threshold value, sending out early warning prompt information, otherwise, not sending out the early warning prompt information;
Positioning the labor tool of the target person, if the labor tool of the target person is in an abnormal position and/or leaves the rated area, sending out early warning prompt information, otherwise, not sending out the early warning prompt information;
And judging whether the target personnel meets the preset condition according to the relation between the supervision condition and the supervision data, wherein the method at least comprises the following steps:
acquiring psychological health risk data of a target person, wherein the psychological health risk data at least comprises statistical data of interview relatives of the target person and psychological counseling statistical data;
judging whether the target personnel meet preset conditions according to the relation between the psychological health risk data and the supervision conditions of the target personnel;
If yes, sending out early warning prompt information;
judging whether the target personnel meet the preset conditions according to the relation between the psychological health risk data and the supervision conditions of the target personnel, if so, sending out early warning prompt information, wherein the early warning prompt information at least comprises:
Acquiring statistics data of relative interviews of target personnel, wherein the statistics data of the relative interviews of the target personnel at least comprise one or more of the number and frequency of the relative interviews and the duration and frequency of each interview;
pushing the statistical data of the relatives of the target personnel to the supervisory personnel for manual scoring, and judging whether the scoring result exceeds the ruled lines; if not, sending out early warning prompt information, otherwise, not sending out; and:
obtaining statistical data of psychological counseling of target personnel, wherein the statistical data of psychological counseling of the target personnel at least comprises the frequency and the frequency of psychological counseling and the result of each psychological counseling;
pushing the statistical data of the target personnel subjected to psychological coaching to a supervisory personnel for manual scoring, and judging whether the scoring result exceeds the ruled lines; if not, sending out early warning prompt information, otherwise, not sending out.
2. Prevent suicide early warning device based on bluetooth location, its characterized in that: the anti-suicide early warning method based on Bluetooth positioning according to claim 1, comprising:
the identity recognition module is used for acquiring the identity information of the target personnel;
The supervision condition configuration module is used for configuring corresponding supervision conditions according to the identity information of the target personnel obtained by the identification of the identity identification module;
the monitoring data statistics module is used for acquiring real-time monitoring data of target personnel, wherein the real-time monitoring data of the target personnel at least comprise one of space activity data, associated article data and mental health risk data of the target personnel;
the judging module is used for judging whether the target personnel meet the preset conditions according to the relationship between the supervision data obtained by statistics of the supervision data statistics module and the supervision conditions configured by the supervision condition configuration module;
And the early warning module is used for sending out early warning prompt information.
3. Prevent suicide early warning equipment based on bluetooth location, its characterized in that: comprising the following steps:
a memory for storing a computer program;
the processor is used for realizing the steps of the anti-suicide early warning method based on Bluetooth positioning according to claim 1 when executing the computer program.
4. A computer readable storage medium, wherein a computer program is stored on the computer readable storage medium, and when the computer program is executed by a processor, the steps of the bluetooth positioning-based suicide prevention early warning method according to claim 1 are implemented.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210780303.4A CN115148002B (en) | 2022-07-04 | 2022-07-04 | Suicide prevention early warning method, device, equipment and storage medium based on Bluetooth positioning |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210780303.4A CN115148002B (en) | 2022-07-04 | 2022-07-04 | Suicide prevention early warning method, device, equipment and storage medium based on Bluetooth positioning |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115148002A CN115148002A (en) | 2022-10-04 |
| CN115148002B true CN115148002B (en) | 2024-10-01 |
Family
ID=83409900
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210780303.4A Active CN115148002B (en) | 2022-07-04 | 2022-07-04 | Suicide prevention early warning method, device, equipment and storage medium based on Bluetooth positioning |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115148002B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115909577B (en) * | 2022-11-30 | 2024-12-27 | 英华达（上海）科技有限公司 | Monitoring and early warning method, system, device and storage medium based on WIFI probe |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108540932A (en) * | 2018-04-10 | 2018-09-14 | 成都月洋科技有限公司 | A kind of radio tracking positioning system and method |
| CN111489818A (en) * | 2020-04-15 | 2020-08-04 | 广东省人民医院(广东省医学科学院) | Early warning method and device for suicide prevention risk in psychiatric department |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102867236A (en) * | 2012-08-30 | 2013-01-09 | 都伊林 | Integrated Internet of things application system for prison |
| US10043591B1 (en) * | 2015-02-06 | 2018-08-07 | Brain Trust Innovations I, Llc | System, server and method for preventing suicide |
| WO2017082812A1 (en) * | 2015-11-09 | 2017-05-18 | Ascent Solutions Pte Ltd | Location tracking system |
| CN113988200A (en) * | 2021-11-03 | 2022-01-28 | 长春嘉诚信息技术股份有限公司 | A kind of early warning method and device for classifying, grading and coloring according to prison conditions |
| CN114495270A (en) * | 2022-01-17 | 2022-05-13 | 深圳市天视通视觉有限公司 | Real-time monitoring and early warning method, device and system and storage medium |
-
2022
- 2022-07-04 CN CN202210780303.4A patent/CN115148002B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108540932A (en) * | 2018-04-10 | 2018-09-14 | 成都月洋科技有限公司 | A kind of radio tracking positioning system and method |
| CN111489818A (en) * | 2020-04-15 | 2020-08-04 | 广东省人民医院(广东省医学科学院) | Early warning method and device for suicide prevention risk in psychiatric department |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115148002A (en) | 2022-10-04 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| RU2717901C1 (en) | Intelligent system for monitoring security and analytical data processing for individual protection means | |
| CN109144013A (en) | Capital construction and production scene managing and control system and method based on technology of Internet of things | |
| CN109413369A (en) | A kind of monitor video intellectual analysis early warning platform | |
| CN111885360A (en) | Intelligent monitoring system for block chain production workshop | |
| CN115278542A (en) | Ultra-wideband technology-based construction site personnel positioning management system and method | |
| US11227132B1 (en) | Controlled-environment facility location analytics system | |
| CN111905297A (en) | Safety management system and method for high-altitude operation | |
| US20220004949A1 (en) | System and method for artificial intelligence (ai)-based activity tracking for protocol compliance | |
| CN109618287A (en) | A kind of convict's management method and device based on UWB positioning | |
| CN115148002B (en) | Suicide prevention early warning method, device, equipment and storage medium based on Bluetooth positioning | |
| CN106327619A (en) | In/out management method and system thereof | |
| Fox | Dr Schwitzgebel's machine revisited: Electronic monitoring of offenders | |
| CN109068105A (en) | A kind of prison video monitoring method based on deep learning | |
| CN116823529A (en) | An intelligent security management system based on behavioral big data analysis | |
| CN110852249A (en) | Method and system for monitoring hand washing of personnel | |
| CN119694065A (en) | A warehouse security and fire warning method based on edge AI mode | |
| CN116189091A (en) | Alarm platform based on multi-source data | |
| Hoffmann et al. | Biometric technologies at work: a proposed use-based taxonomy | |
| CN207530963U (en) | A kind of illegal geofence system based on video monitoring | |
| CN118553066B (en) | Campus safety early warning method and system based on artificial intelligence technology | |
| CN114363578A (en) | Monitoring alarm prompting method and system combining video analysis and single chip microcomputer | |
| CN119420880A (en) | An AI video violation capture monitoring method for aluminum processing deep well casting production line | |
| CN110460817A (en) | Data center's video monitoring system and method based on recognition of face and geography fence | |
| JP6722711B2 (en) | Notification processing system and notification processing method | |
| CN111260003A (en) | Full-life intelligent management method and system for fire-fighting equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |