CN109699006B - Behavior analysis method and device of prison management system based on UWB positioning - Google Patents
Behavior analysis method and device of prison management system based on UWB positioning Download PDFInfo
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Abstract
The invention provides a behavior analysis method and a behavior analysis device of a prison management system based on UWB positioning, wherein the method comprises the following steps: obtaining a first running track of a first criminal person in a first time period; obtaining a second running track of a second criminal person in the first time period; judging whether the first running track and the second running track have the same running track; when the two have the same running track, judging whether a first abnormal event exists in the same running track; when a first abnormal event exists in the same moving track, determining that abnormal behaviors exist in the first prisoner and the second prisoner. The invention solves the technical problems that the intelligent management degree of prisons is low, the real-time monitoring and analyzing capability is poor, and the abnormal activities of prisoners cannot be found in time, achieves the intelligent monitoring and managing, improves the real-time monitoring and intelligent analyzing capability of the prisoners, and further effectively prevents the occurrence of emergency situations.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a behavior analysis method and a behavior analysis device of a prison management system based on UWB positioning.
Background
Prison is the place of all prisoners of the detention, and its purpose of setting up is to carry out punishment and transformation to the criminal and combine together, education and work combine together, manage and educate the criminal according to law, organize criminal work transformation and accept skill training, through guaranteeing the place safety and stability and improving criminal transformation quality, for the stable large office of social security, reform transform the criminal into the citizen of keeping law.
However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the inventors of the present application find that the above-mentioned technology has at least the following technical problems:
the existing prisons have the technical problems of low intelligent management degree, poor real-time monitoring and intelligent analysis capabilities and incapability of finding out abnormal activities of prisoners in time.
Disclosure of Invention
The embodiment of the invention provides a behavior analysis method and a behavior analysis device of a prison management system based on UWB positioning, solves the technical problems that the intelligent management degree of prisons is low, the real-time monitoring and analysis capability is poor, and the abnormal activities of prisoners cannot be found in time, achieves intelligent monitoring management, improves the real-time monitoring and intelligent analysis capability of the prisoners, and further effectively prevents the occurrence of emergency situations.
In view of the above problems, embodiments of the present application are proposed in order to provide a behavior analysis method and apparatus for a UWB location based prison management system.
In a first aspect, the invention provides a behavior analysis method of a prison management system based on UWB positioning, which is applied to a positioning wearable device, wherein the positioning wearable device is respectively in communication connection with a positioning base station and a supervision platform, and the method comprises the following steps: obtaining a first running track of a first criminal person in a first time period; obtaining a second running track of a second criminal person in the first time period; judging whether the first running track and the second running track have the same running track; when the two have the same running track, judging whether a first abnormal event exists in the same running track; when a first abnormal event exists in the same moving track, determining that abnormal behaviors exist in the first prisoner and the second prisoner.
Preferably, the method further comprises: obtaining a behavior trace of the first criminal person at a first time; obtaining a second exception event at the first time; comparing whether the behavior track and the second abnormal event have a first goodness of fit; and when the action track and the abnormal event have a first matching degree, determining that the first criminal person has abnormal actions.
Preferably, the method further comprises: obtaining first detection information of said first criminal person in a first detector; determining second detection information in the first time period according to the first detection information; judging whether first abnormal information exists in the second detection information or not; and when the second detection information contains first abnormal information, determining that the first prisoner and the second prisoner have abnormal behaviors by combining the same running track.
Preferably, the method further comprises: obtaining a first location of said first criminal person; obtaining a second position of said second criminal person; judging a first distance difference between the first position and the second position; determining a first dwell time of said first criminal person at said first location when said first distance difference is smaller than a first predetermined threshold; judging whether the first staying time is larger than a second preset threshold value or not; determining that abnormal behavior exists for said first criminal person when said first dwell time is greater than a second predetermined threshold.
Preferably, the method further comprises: obtaining a second time for said first criminal person to reach a third location; obtaining a third time for said second criminal person to reach said third location; determining a first time difference according to the second time and the third time; judging whether the first time difference is smaller than a third preset threshold value or not; determining that abnormal behavior exists for said first criminal person when said first time difference is less than a third predetermined threshold.
Preferably, the method further comprises: obtaining family information of the first criminal person; and determining first risk assessment information according to the first running track of the first prisoner, the same running tracks of the first prisoner and the second prisoner and the family information in combination with cloud computing big data in the cloud platform.
In a second aspect, the present invention provides a behaviour analysis device for a UWB location based prison management system, the device comprising: a first obtaining unit that obtains a first travel locus of a first criminal person over a first time period; a second obtaining unit that obtains a second travel locus of a second criminal person within the first time period; a first judging unit that judges whether the first running locus and the second running locus have the same running locus; the second judging unit judges whether a first abnormal event exists in the same running track or not when the first judging unit and the second judging unit have the same running track; a first determining unit that determines that an abnormal behavior exists between the first person who has a crime and the second person who has a crime when a first abnormal event exists in the same moving track.
Preferably, the apparatus further comprises: a third obtaining unit that obtains a behavior trajectory of the first criminal person at a first time; a fourth obtaining unit that obtains a second abnormal event at the first time; the first processing unit compares whether the behavior track and the second abnormal event have a first goodness of fit; and the second determining unit determines that the first criminal person has abnormal behaviors when the behavior track has a first matching degree with the abnormal event.
Preferably, the apparatus further comprises: a fifth obtaining unit that obtains first detection information of the first criminal person in the first detector; a third determination unit that determines second detection information in the first period of time from the first detection information; a second determination unit that determines whether or not first abnormality information exists in the second detection information; and a fourth determining unit, configured to determine that the first person taking a criminal has an abnormal behavior with the second person taking a criminal by combining the same running track, when the second detection information includes first abnormal information.
Preferably, the apparatus further comprises: a sixth obtaining unit that obtains a first position of the first criminal person; a seventh obtaining unit that obtains a second position of the second criminal person; a third determination unit that determines a first distance difference between the first position and the second position; a fifth determining unit that determines a first stay time of the first criminal person at the first location when the first distance difference is smaller than a first predetermined threshold; a fourth judging unit that judges whether the first staying time is greater than a second predetermined threshold; a sixth determining unit that determines that the first criminal person has abnormal behavior when the first stay time is greater than a second predetermined threshold.
Preferably, the apparatus further comprises: an eighth obtaining unit that obtains a second time when the first criminal person arrives at a third position; a ninth obtaining unit that obtains a third time when the second prisoner arrives at the third position; a seventh determining unit that determines a first time difference from the second time and the third time; a fifth judging unit that judges whether the first time difference is smaller than a third predetermined threshold; an eighth determining unit that determines that the first criminal person has abnormal behavior when the first time difference is smaller than a third predetermined threshold.
Preferably, the apparatus further comprises: a tenth obtaining unit that obtains family information of the first criminal person; a ninth determining unit, configured to determine first risk assessment information according to a first running trajectory of the first prisoner, a same running trajectory of the first prisoner and the second prisoner, and the family information in combination with cloud computing big data in the cloud platform.
In a third aspect, the present invention provides another behavior analysis device for a prison management system based on UWB positioning, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to perform the following steps: obtaining a first running track of a first criminal person in a first time period; obtaining a second running track of a second criminal person in the first time period; judging whether the first running track and the second running track have the same running track; when the two have the same running track, judging whether a first abnormal event exists in the same running track; when a first abnormal event exists in the same moving track, determining that abnormal behaviors exist in the first prisoner and the second prisoner.
One or more technical solutions in the embodiments of the present application have at least one or more of the following technical effects:
the embodiment of the application provides a behavior analysis method and a behavior analysis device of a prison management system based on UWB positioning, which are applied to a positioning wearing device, wherein the positioning wearing device is respectively in communication connection with a positioning base station and a supervision platform, and the method comprises the following steps: obtaining a first running track of a first criminal person in a first time period; obtaining a second running track of a second criminal person in the first time period; judging whether the first running track and the second running track have the same running track; when the two have the same running track, judging whether a first abnormal event exists in the same running track; when a first abnormal event exists in the same moving track, determining that abnormal behaviors exist in the first prisoner and the second prisoner. The invention solves the technical problems that the intelligent management degree of prisons is low, the real-time monitoring and analyzing capability is poor, and the abnormal activities of prisoners cannot be found in time, achieves the intelligent monitoring and managing, improves the real-time monitoring and intelligent analyzing capability of the prisoners, and further effectively prevents the occurrence of emergency situations.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
Fig. 1 is a schematic flow chart of a behavior analysis method of a prison management system based on UWB positioning according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a behavior analysis device of a prison management system based on UWB positioning according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a behavior analysis device of another UWB positioning-based prison management system according to an embodiment of the invention.
Detailed Description
The embodiment of the application provides a behavior analysis method and a behavior analysis device of a prison management system based on UWB positioning, which are applied to a positioning wearing device, wherein the positioning wearing device is respectively in communication connection with a positioning base station and a supervision platform, and the method comprises the following steps: obtaining a first running track of a first criminal person in a first time period; obtaining a second running track of a second criminal person in the first time period; judging whether the first running track and the second running track have the same running track; when the two have the same running track, judging whether a first abnormal event exists in the same running track; when a first abnormal event exists in the same moving track, determining that abnormal behaviors exist in the first prisoner and the second prisoner. The invention solves the technical problems that the intelligent management degree of prisons is low, the real-time monitoring and analyzing capability is poor, and the abnormal activities of prisoners cannot be found in time, achieves the intelligent monitoring and managing, improves the real-time monitoring and intelligent analyzing capability of the prisoners, and further effectively prevents the occurrence of emergency situations.
The technical solutions of the present invention are described in detail below with reference to the drawings and specific embodiments, and it should be understood that the specific features in the embodiments and examples of the present invention are described in detail in the technical solutions of the present application, and are not limited to the technical solutions of the present application, and the technical features in the embodiments and examples of the present application may be combined with each other without conflict.
The term "and/or" herein is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
Example one
Fig. 1 is a schematic flow chart of a behavior analysis method of a prison management system based on UWB positioning in an embodiment of the present invention. The method is applied to a positioning wearing device which is respectively in communication connection with a positioning base station and a supervision platform, the positioning wearing device can be a positioning bracelet (intelligent bracelet), a foot ring, an arm ring or other human body wearing devices, and the method comprises the following steps:
step 110: obtaining a first running track of a first criminal person in a first time period;
step 120: obtaining a second running track of a second criminal person in the first time period;
specifically, the UWB is a carrier-free communication technology, and uses nanosecond to microsecond non-sine wave narrow pulses to transmit data, and transmits very low-power signals over a wide frequency spectrum, so that the UWB can achieve a data transmission rate of hundreds of Mbit/s to several Gbit/s in a range of about 10 meters. The UWB can realize the short-distance high-speed data transmission and can also utilize the subnanosecond ultra-narrow pulse to carry out short-distance accurate indoor positioning. Moreover, the UWB has strong anti-interference performance, high transmission rate, large system capacity and very small sending power, and the communication equipment can realize communication by using the sending power less than 1 mW. The low transmitting power greatly prolongs the working time of the system power supply. And the transmitting power is low, and the influence of electromagnetic wave radiation on the human body is small. The wearable device is communicated with the positioning base station through UWB and transmits data, the wearable device can be worn on the body of a prisoner, collects information such as body information, voice information and action tracks of the prisoner and feeds the information back to a server of the supervision platform through the positioning base station. The monitoring platform is also provided with a plurality of terminal devices, the terminal devices can adopt electronic devices such as computers, mobile phones and the like, and prison managers can enter the server through the terminal devices and can also obtain information sent by the server. The server can realize communication transmission between the wearing device and the positioning base station, supervises both sides, and can realize data synchronization and unified management between the wearing device and the positioning base station through big data statistical analysis. The wearing device can automatically collect the physical condition, conversation information, action track and other information of the prisoner, the information of the prisoner is automatically uploaded to the server through the positioning base station, the server can automatically store the action track of each prisoner after receiving the information, and meanwhile, the server can obtain the area with the abnormal event through the wearing device or the terminal equipment of the management personnel. The server combines the activity tracks of the prisoners with the areas where the abnormal events occur and then determines all the prisoners who are present when the abnormal events occur.
Step 130: judging whether the first running track and the second running track have the same running track;
step 140: when the two have the same running track, judging whether a first abnormal event exists in the same running track;
specifically, after the server determines all the prisoners in the field when the abnormal event occurs through the activity tracks of the prisoners and the area where the abnormal event occurs, the server automatically combines the running tracks of all the prisoners in the field, then determines the prisoners with intersection in the running tracks through the running tracks of all the prisoners in the field, then determines the time when the prisoners have intersection, and after determining the time when the intersection exists, the server automatically matches the time when the intersection exists with the time when the abnormal event occurs, and further determines which prisoner is gathered in the area where the abnormal event occurs when the abnormal event occurs. For example, the server obtains a prison fighting event, the occurrence time of the event is 5 to 5 pm and 10 minutes, then the server judges that 3 prisoners appear in the area where the fighting event occurs in the time period through the running tracks uploaded by wearing devices of the prisoners, and the running tracks of the three prisoners have intersection, so that the server can automatically determine that the three prisoners are related to the prison fighting event.
Step 150: when a first abnormal event exists in the same moving track, determining that abnormal behaviors exist in the first prisoner and the second prisoner. Further, the method further comprises: obtaining first detection information of said first criminal person in a first detector; determining second detection information in the first time period according to the first detection information; judging whether first abnormal information exists in the second detection information or not; and when the second detection information contains first abnormal information, determining that the first prisoner and the second prisoner have abnormal behaviors by combining the same running track. Further, the method further comprises: obtaining a behavior trace of the first criminal person at a first time; obtaining a second exception event at the first time; comparing whether the behavior track and the second abnormal event have a first goodness of fit; and when the action track and the abnormal event have a first matching degree, determining that the first criminal person has abnormal actions. Further, the method further comprises: obtaining family information of the first criminal person; and determining first risk assessment information according to the first running track of the first prisoner, the same running tracks of the first prisoner and the second prisoner and the family information in combination with cloud computing big data in the cloud platform.
Specifically, after the server automatically judges a prisoner related to an abnormal event through a prisoner with intersection in the running track, the server automatically locks the prisoner related to the abnormal event, integrates information and positions of the prisoner into alarm information and sends the alarm information to the server, the server sends the received alarm information to terminal equipment of a manager, and the terminal equipment sends an alarm in the forms of light, sound, vibration and the like after receiving the alarm information to remind the manager to go to the manager for processing as soon as possible. When the server obtains the information of the running track and the like of the prisoner appearing in the abnormal event, the server can automatically call the information of other monitoring equipment such as video monitoring equipment or sensors and the like, screen the information stored in the monitoring equipment to find out the monitoring information when the abnormal event occurs, then automatically find out the information of the behavior, the sound, the expression and the like of the prisoner relevant to the abnormal event from the information, further accurately judge the prisoner who is manufactured and participates in the abnormal event, for example, when the server locks a prisoner A, a prisoner B and a prisoner C3 when the abnormal event occurs, the running track has intersection in the abnormal event, then the server finds out the prisoner A and the prisoner B2 before the abnormal event occurs through the information stored in the video monitor, then the prisoner A firstly hands the prisoner B hands, and after the two prisoners are together, the face of the third prisoner does not appear in the video, but the server comprehensively judges the third prisoner to dissuade the third prisoner from the running track and the sound of the third prisoner, pulls the two prisoners apart, and after obtaining the information, the server can automatically send an alarm to a manager and simultaneously send the video of the abnormal event to the manager for the manager to refer. Meanwhile, after the server determines the prisoner participating in the abnormal event, the server can automatically call the family information of the prisoner, then the probability of other abnormal events which may happen is estimated through big data collision according to the same running track and family information of all the prisoners participating in the abnormal events, and the probability of other abnormal events and other possible abnormal events are sent to the manager to remind the manager to make prevention in advance, for example, two prisoners have a blow, the server obtains the family information of the two prisoners, one of the prisoners is from a common family, and the family members of the other prisoner have violent behaviors, the server sends the information to the manager to remind the manager to take preventive measures in advance, so that the prisoner with violent behaviors of the family members is prevented from attacking the prisoners from the common family again, and the method can effectively prevent malignant events.
Further, the apparatus further comprises: obtaining a first location of said first criminal person; obtaining a second position of said second criminal person; judging a first distance difference between the first position and the second position; determining a first dwell time of said first criminal person at said first location when said first distance difference is smaller than a first predetermined threshold; judging whether the first staying time is larger than a second preset threshold value or not; determining that abnormal behavior exists for said first criminal person when said first dwell time is greater than a second predetermined threshold. Further, the apparatus further comprises: obtaining a second time for said first criminal person to reach a third location; obtaining a third time for said second criminal person to reach said third location; determining a first time difference according to the second time and the third time; judging whether the first time difference is smaller than a third preset threshold value or not; determining that abnormal behavior exists for said first criminal person when said first time difference is less than a third predetermined threshold.
Specifically, after obtaining a manufactured and involved prisoner in an abnormal event, the server automatically calls a running track on a device worn by the prisoner, determines the position information of the prisoner involved in the abnormal event according to the running track, then automatically judges the distance of the prisoner involved in the abnormal event, automatically compares the distance with a preset safety distance after judging the distance of the prisoner involved in the abnormal event, and if the distance is smaller than the safety distance, automatically confirms that the prisoner involved in the abnormal event has abnormal behaviors and sends an alarm to a manager to remind the manager to process in time. Meanwhile, the server can automatically confirm the time and the place when the prisoner participating in the abnormal event moves to other positions, then the time when other prisoners reach the place where the prisoner participating in the abnormal event is located is determined through the running tracks uploaded by wearing devices of other prisoners, then the time difference between the other prisoners and the time when the prisoner participating in the abnormal event reaches the place is automatically judged, the time difference is compared with a preset safety time difference threshold value, if the time difference is smaller than the preset safety time difference threshold value, the fact that other prisoners possibly help or report back is shown, the server can automatically send alarm information to a manager at the first time, the manager is timely reminded of going to process, and the abnormal event is prevented from happening again.
Example 2
Based on the same inventive concept as the behavior analysis method of the prison management system based on the UWB positioning in the foregoing embodiments, the present invention also provides a behavior analysis device of the prison management system based on the UWB positioning, as shown in fig. 2, the device includes: a first obtaining unit 11 that obtains a first travel locus of a first criminal person over a first time period; a second obtaining unit 12 that obtains a second travel locus of a second criminal person within the first time period; a first judging unit 13 that judges whether the first running locus and the second running locus have the same running locus; a second judging unit 14 that judges whether or not a first abnormal event exists in the same running track when the two have the same running track; a first determining unit 15, when a first abnormal event exists in the same moving trajectory, said first determining unit determining that said first criminal person and said second criminal person have abnormal behavior.
Further, the apparatus further comprises: a third obtaining unit that obtains a behavior trajectory of the first criminal person at a first time; a fourth obtaining unit that obtains a second abnormal event at the first time; the first processing unit compares whether the behavior track and the second abnormal event have a first goodness of fit; and the second determining unit determines that the first criminal person has abnormal behaviors when the behavior track has a first matching degree with the abnormal event.
Further, the apparatus further comprises: a fifth obtaining unit that obtains first detection information of the first criminal person in the first detector; a third determination unit that determines second detection information in the first period of time from the first detection information; a second determination unit that determines whether or not first abnormality information exists in the second detection information; and a fourth determining unit, configured to determine that the first person taking a criminal has an abnormal behavior with the second person taking a criminal by combining the same running track, when the second detection information includes first abnormal information.
Further, the apparatus further comprises: a sixth obtaining unit that obtains a first position of the first criminal person; a seventh obtaining unit that obtains a second position of the second criminal person; a third determination unit that determines a first distance difference between the first position and the second position; a fifth determining unit that determines a first stay time of the first criminal person at the first location when the first distance difference is smaller than a first predetermined threshold; a fourth judging unit that judges whether the first staying time is greater than a second predetermined threshold; a sixth determining unit that determines that the first criminal person has abnormal behavior when the first stay time is greater than a second predetermined threshold.
Further, the apparatus further comprises: an eighth obtaining unit that obtains a second time when the first criminal person arrives at a third position; a ninth obtaining unit that obtains a third time when the second prisoner arrives at the third position; a seventh determining unit that determines a first time difference from the second time and the third time; a fifth judging unit that judges whether the first time difference is smaller than a third predetermined threshold; an eighth determining unit that determines that the first criminal person has abnormal behavior when the first time difference is smaller than a third predetermined threshold.
Further, the apparatus further comprises: a tenth obtaining unit that obtains family information of the first criminal person; a ninth determining unit, configured to determine first risk assessment information according to a first running trajectory of the first prisoner, a same running trajectory of the first prisoner and the second prisoner, and the family information in combination with cloud computing big data in the cloud platform.
Various changes and specific examples of the behavior analysis method of a UWB positioning based prison management system in embodiment 1 of fig. 1 are also applicable to the behavior analysis device of a UWB positioning based prison management system in this embodiment, and through the foregoing detailed description of the behavior analysis method of a UWB positioning based prison management system, those skilled in the art can clearly know the implementation method of the behavior analysis device of a UWB positioning based prison management system in this embodiment, so for the brevity of the description, detailed description is omitted here.
Example 3
Based on the same inventive concept as the behavior analysis method of the prison management system based on the UWB positioning in the previous embodiment, the invention further provides another behavior analysis device of the prison management system based on the UWB positioning, wherein a computer program is stored on the behavior analysis device, and when the computer program is executed by a processor, the computer program realizes the steps of any one of the above methods of the behavior analysis method of the prison management system based on the UWB positioning.
Where in fig. 3 a bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 linking together various circuits including one or more processors, represented by processor 302, and memory, represented by memory 304. The bus 300 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 306 provides an interface between the bus 300 and the receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e., a transceiver, providing a means for communicating with various other apparatus over a transmission medium.
The processor 302 is responsible for managing the bus 300 and general processing, and the memory 304 may be used for storing data used by the processor 302 in performing operations.
One or more technical solutions in the embodiments of the present application have at least one or more of the following technical effects:
the embodiment of the application provides a behavior analysis method and a behavior analysis device of a prison management system based on UWB positioning, which are applied to a positioning wearing device, wherein the positioning wearing device is respectively in communication connection with a positioning base station and a supervision platform, and the method comprises the following steps: obtaining a first running track of a first criminal person in a first time period; obtaining a second running track of a second criminal person in the first time period; judging whether the first running track and the second running track have the same running track; when the two have the same running track, judging whether a first abnormal event exists in the same running track; when a first abnormal event exists in the same moving track, determining that abnormal behaviors exist in the first prisoner and the second prisoner. The invention solves the technical problems that the intelligent management degree of prisons is low, the real-time monitoring and analyzing capability is poor, and the abnormal activities of prisoners cannot be found in time, achieves the intelligent monitoring and managing, improves the real-time monitoring and intelligent analyzing capability of the prisoners, and further effectively prevents the occurrence of emergency situations.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (8)
1. A behavior analysis method of a prison management system based on UWB positioning is applied to a positioning wearing device which is respectively in communication connection with a positioning base station and a supervision platform, and is characterized by comprising the following steps:
the positioning wearing device obtains a first running track of a first criminal person in a first time period;
the positioning wearing device obtains a second running track of a second prisoner in the first time period;
the supervision platform judges whether the first running track and the second running track have the same running track;
when the two have the same running track, judging whether a first abnormal event exists in the same running track;
when a first abnormal event exists in the same moving track, determining that abnormal behaviors exist in the first prisoner and the second prisoner.
2. A method for behavioral analysis by a UWB location based prison management system as defined in claim 1, the method further comprising:
obtaining a behavior trace of the first criminal person at a first time;
obtaining a second exception event at the first time;
comparing whether the behavior track and the second abnormal event have a first goodness of fit;
and when the action track and the abnormal event have a first matching degree, determining that the first criminal person has abnormal actions.
3. A method for behavioral analysis by a UWB location based prison management system as defined in claim 1, the method further comprising:
obtaining first detection information of said first criminal person in a first detector;
determining second detection information in the first time period according to the first detection information;
judging whether first abnormal information exists in the second detection information or not;
and when first abnormal information exists in the second detection information, determining that the first prisoner and the second prisoner have abnormal behaviors by combining the same running track.
4. A method for behavioral analysis by a UWB location based prison management system as defined in claim 1, the method further comprising:
obtaining a first location of said first criminal person;
obtaining a second position of said second criminal person;
judging a first distance difference between the first position and the second position;
determining a first dwell time of said first criminal person at said first location when said first distance difference is smaller than a first predetermined threshold;
judging whether the first staying time is larger than a second preset threshold value or not;
determining that abnormal behavior exists for said first criminal person when said first dwell time is greater than a second predetermined threshold.
5. A method for behavioral analysis by a UWB location based prison management system as defined in claim 1, the method further comprising:
obtaining a second time for said first criminal person to reach a third location;
obtaining a third time for said second criminal person to reach said third location;
determining a first time difference according to the second time and the third time;
judging whether the first time difference is smaller than a third preset threshold value or not;
determining that abnormal behavior exists for said first criminal person when said first time difference is less than a third predetermined threshold.
6. A method for behavioral analysis by a UWB location based prison management system as defined in claim 1, the method further comprising:
the cloud platform obtains family information of the first criminal worker;
and the cloud platform determines first risk assessment information according to a first running track of the first prisoner, the same running tracks of the first prisoner and the second prisoner and the family information in combination with cloud computing big data in the cloud platform.
7. A behavior analysis device of a prison management system based on UWB positioning, the device comprising:
a first obtaining unit that obtains a first travel locus of a first criminal person over a first time period;
a second obtaining unit that obtains a second travel locus of a second criminal person within the first time period;
a first judging unit that judges whether the first running locus and the second running locus have the same running locus;
the second judging unit judges whether a first abnormal event exists in the same running track or not when the first judging unit and the second judging unit have the same running track;
a first determining unit that determines that an abnormal behavior exists between the first person who has a crime and the second person who has a crime when a first abnormal event exists in the same moving track.
8. A behavior analysis device for a UWB positioning based prison management system comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the steps of:
obtaining a first running track of a first criminal person in a first time period;
obtaining a second running track of a second criminal person in the first time period;
judging whether the first running track and the second running track have the same running track;
when the two have the same running track, judging whether a first abnormal event exists in the same running track;
when a first abnormal event exists in the same moving track, determining that abnormal behaviors exist in the first prisoner and the second prisoner.
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| CN111784113A (en) * | 2020-06-08 | 2020-10-16 | 珠海格力电器股份有限公司 | Method and device for determining work efficiency of outworker |
| CN113807636B (en) * | 2021-04-12 | 2024-04-09 | 河北广电传智信息技术有限公司 | Regional supervision method and device, electronic equipment and computer storage medium |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104122842A (en) * | 2013-04-23 | 2014-10-29 | 北京计算机技术及应用研究所 | Intelligent monitoring method and system based on prison event |
| CN108769922A (en) * | 2018-04-12 | 2018-11-06 | 合肥指南针电子科技有限责任公司 | It is a kind of prison in key area intelligent analysis regulator control system |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104320476A (en) * | 2014-10-30 | 2015-01-28 | 四川智羽软件有限公司 | Prison indoor positioning system based on WiFi |
| CN106162526A (en) * | 2016-06-27 | 2016-11-23 | 合肥指南针电子科技有限责任公司 | A kind of prison intelligent-tracking monitors method |
| US10019769B1 (en) * | 2017-07-17 | 2018-07-10 | Global Tel*Link Corporation | Systems and methods for location fencing within a controlled environment |
-
2018
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104122842A (en) * | 2013-04-23 | 2014-10-29 | 北京计算机技术及应用研究所 | Intelligent monitoring method and system based on prison event |
| CN108769922A (en) * | 2018-04-12 | 2018-11-06 | 合肥指南针电子科技有限责任公司 | It is a kind of prison in key area intelligent analysis regulator control system |
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