CN114913363A - Abnormal aggregation studying and judging analysis method and system - Google Patents
Abnormal aggregation studying and judging analysis method and system Download PDFInfo
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- CN114913363A CN114913363A CN202210165718.0A CN202210165718A CN114913363A CN 114913363 A CN114913363 A CN 114913363A CN 202210165718 A CN202210165718 A CN 202210165718A CN 114913363 A CN114913363 A CN 114913363A
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Abstract
The invention discloses a study and judgment analysis method and a system for abnormal aggregation, which can automatically compare and analyze the personnel entering preset areas such as a cell, discover suspicious personnel and abnormal events in advance, give early warning in time, realize early prevention, early discovery and early treatment, reduce crime incidence and improve the happiness index of residents.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a method and a system for studying, judging and analyzing abnormal aggregation.
Background
In recent years, with the development of social economy, the urbanization process is accelerated, the mobile population is increased rapidly, a large number of people are poured into cities, and the urban population conditions have the characteristics of large base number, high mobility, large management difficulty and the like. The residential area is the main living place of people, and the comfort and the safety of the residential area are more and more emphasized by people.
Traditional security community construction is usually at important access & exit in district installation video monitoring, equipment such as entrance guard and snapshot camera to realize the supervision of looking over to personnel, the vehicle of passing in and out this district, then through with the database contrast analysis after, thereby discernment individual's identity information, but present monitoring method can not discern gathering nature illegal, the event of violation, and present all kinds of gathering nature cases take place, hinder social security, harm public life, consequently how to realize monitoring prevention to all kinds of gathering nature cases becomes the problem that needs to be solved now urgently.
Disclosure of Invention
The invention provides a method and a system for studying, judging and analyzing abnormal aggregation, which aim to solve the problem that various aggregated cases cannot be effectively monitored and identified in the prior art.
In a first aspect, the present invention provides a method for analyzing abnormal clustering, which includes: setting corresponding labels for preset personnel according to the categories of the abnormal aggregates to which the preset personnel belong, wherein the labels correspond to the categories of the abnormal aggregates one by one; and monitoring and analyzing the personnel entering the preset area in real time, and judging that abnormal aggregation exists and triggering early warning when the number of people entering the preset area and carrying any type of labels exceeds a preset number threshold value within a set time interval.
Optionally, after the setting of the corresponding label for the preset person according to the classification of the abnormal aggregation to which the preset person belongs, the method further includes: and associating all the personnel information with the labels and the corresponding labels and storing the associated personnel information and the corresponding labels in a database for subsequent analysis.
Optionally, the monitoring, in real time, of the person entering the preset area includes: the method comprises the steps of monitoring personnel entering a preset area in real time through a preset detection front end, wherein the detection front end is arranged on the principle that all the personnel entering the preset area can be effectively monitored.
Optionally, the real-time analysis of the person entering the preset area includes: and analyzing the monitoring result in real time, and respectively recording the number of people entering the preset area and carrying each type of label within a set time interval after the first person carrying the label enters the preset area.
Optionally, the preset people number threshold is set according to the classification of abnormal aggregation, that is, a preset people number threshold is set corresponding to each classification of abnormal aggregation;
or,
all the abnormal clustering classifications correspond to one preset population threshold value.
Optionally, the classification of anomaly aggregation includes various criminal offending classifications, and the labels include labels corresponding to the various criminal offending classifications.
Optionally, the preset area includes: district, mall, park, square, school and government departments of all levels.
In a second aspect, the present invention provides a system for conducting a discriminant analysis of anomaly clusters, the system comprising:
the setting unit is used for setting corresponding labels for preset personnel according to the classes of the abnormal aggregates to which the preset personnel belong, wherein the labels correspond to the classes of the abnormal aggregates one by one;
the detection front end is used for monitoring personnel entering a preset area in real time;
and the processor is used for analyzing the detection result of the detection front end, judging that abnormal aggregation exists when the number of people entering the preset area within a set time interval and carrying any type of labels exceeds a preset number threshold, and triggering the early warning device to perform early warning.
Optionally, the system further comprises a database;
and the database is used for storing all the personnel information with the labels and the labels corresponding to the personnel information after being associated for subsequent analysis.
Optionally, the detection front end is deployed on the principle that all the persons entering the preset area can be effectively monitored.
The invention has the following beneficial effects:
according to the invention, by automatically comparing and analyzing the persons entering preset areas such as a cell and the like, suspicious persons and abnormal events are found in advance, early warning is timely carried out, early prevention, early finding and early treatment are realized, the crime incidence rate is reduced, and the happiness index of residents is improved.
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.
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Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 is a schematic flow chart illustrating a method for analyzing abnormal clustering according to a first embodiment of the present invention;
FIG. 2 is a schematic flow chart of another method for analyzing anomaly aggregation according to the first embodiment of the present invention;
FIG. 3 is a flowchart illustrating an anomaly aggregation discriminant analysis system according to a first embodiment of the present invention.
Detailed Description
Aiming at the problem that various aggregated cases cannot be effectively monitored and identified well in the prior art, the embodiment of the invention sets the corresponding labels for the preset personnel according to the classification of the abnormal aggregation to which the preset personnel belong, monitors and analyzes the personnel entering the preset area in real time, and judges that the abnormal aggregation exists when the number of people entering the preset area within the set time interval and carrying any kind of labels exceeds the preset number threshold, thereby realizing the early warning of various aggregated cases. The present invention will be described in further detail below with reference to the drawings and examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and do not limit the invention.
The first embodiment of the present invention provides a method for analyzing abnormal clustering, referring to fig. 1, the method includes:
s101, setting corresponding labels for preset personnel according to the classification of the abnormal aggregation to which the preset personnel belong;
the preset personnel in the embodiment of the invention can be all the personnel which can be mastered and conform to various illegal criminal classifications, and the labels are arranged and are uniquely corresponding to the various illegal criminal classifications, so that the classification of the illegal criminal to which the specific person belongs is identified through the labels. The specific setting can be set by a person skilled in the art according to actual needs, and the invention is not described in detail.
After the label setting is completed, all the personnel information provided with the labels and the labels corresponding to the personnel information are associated and then stored in a database for subsequent query, comparative analysis and the like.
It should be noted that the application scenario of the method of the present invention may be a district, a mall, a park, a square, a school, and government departments of various levels, and certainly, the data of the database of the public security system is more comprehensive, and the result is definitely more accurate by performing the study and judgment analysis of abnormal aggregation through the public security system.
S102, monitoring and analyzing personnel entering a preset area in real time, judging that abnormal aggregation exists when the number of people entering the preset area and carrying any type of labels exceeds a preset number threshold within a set time interval, and triggering early warning;
in specific implementation, the embodiment of the invention monitors the personnel entering the preset area in real time through the detection front end preset at the periphery of the preset area, wherein the detection front end is arranged on the principle of effectively monitoring all the personnel entering the preset area.
The detection front end in the embodiment of the invention can be equipment with shooting and video recording functions, such as a camera, an infrared detector and the like. The embodiment of the invention monitors the personnel entering the preset area in real time by detecting the front end and sends the monitoring result to the processor in real time for comparison analysis processing.
Specifically, the processor of the embodiment of the present invention analyzes the monitoring result in real time, and respectively records the number of people entering the preset area and carrying each type of tag within a set time interval after determining that the first person carrying the tag enters the preset area, and when determining that the number of people entering the preset area within the set time interval and carrying any type of tag exceeds a preset number threshold, it is determined that abnormal aggregation exists, and an early warning is triggered, so as to implement early warning on various aggregated cases.
It should be noted that, because the number of people in different abnormal aggregates is different, the embodiment of the present invention may set different preset number of people thresholds for different abnormal aggregate types, that is, the preset number of people thresholds in the embodiment of the present invention are respectively set according to the classifications of abnormal aggregates, that is, each of the classifications of abnormal aggregates is correspondingly set with one preset number of people threshold;
of course, for simplicity of design, all the classifications of abnormal clustering may be collectively assigned to one of the predetermined population number thresholds.
In addition, the values of the data items such as the set time interval in the embodiment of the present invention may be arbitrarily set according to the need, and the present invention is not particularly limited to this.
The present invention is not particularly limited, and those skilled in the art can arbitrarily set the setting according to the needs.
The method of the present invention will be explained and explained in detail with reference to fig. 2 by taking a cell scenario as an example below:
at present, a smart security community constructs a community security system by using community monitoring videos, people and vehicles snapshot, an access control system and the like through an information technology, community personnel and vehicles are managed and controlled, community security guarantee capability and emergency management capability are enhanced, but the intelligent security community can only realize checking and supervision of personnel and vehicles entering and exiting the community, and gathering illegal events and illegal events are difficult to recognize by identifying identity information of a single person after comparison and analysis with a database. Based on the above, the embodiment of the invention provides a clustering algorithm-based intelligent security community visitor gathering, studying and judging and analyzing system, which can automatically perform comparison analysis on visitors entering a community, discover suspicious persons and abnormal events in advance, perform early warning in time, achieve early prevention, early discovery and early processing, reduce crime incidence and improve the happiness index of residents.
The method provided by the embodiment of the invention can be used for giving early warning on various illegal and classified personnel gathering phenomena.
The research and judgment analysis system comprises a detection front end or can also be used as front end sensing equipment, a database and a processor, wherein information of residents and visitors in a community, access control of a security community, a snapshot camera and other information collected by the detection front end is gathered in the database, and personnel information conforming to various illegal criminal classifications is extracted after the information is compared with a local personnel database. The processor firstly establishes a frequent visit library for visitors who frequently enter the cell in the near term, compares and analyzes personnel who enter the cell and personnel who frequently visit the library, and sends out an aggregation early warning when a plurality of same type of personnel appear in the cell in a short time.
The clustering algorithm for the community personnel gathering event is set as follows: in a shorter time and a smaller space range, a plurality of persons of the same type of tags are gathered together. According to the occurrence rule of the cell case, the selected time range is within 2 hours; the spatial range is a certain cell.
The specific operation flow of the research and judgment analysis method is as follows:
1. data such as photos, identity card numbers, addresses and the like of resident and tenants resident in the community are collected, a personnel information base of the community is established, and corresponding personnel labels are given, wherein the labels correspond to various illegal criminal classifications. And uploading the data to a data aggregation platform to serve as a data base, and performing algorithm analysis and classification early warning on each item of data through a processor in the data aggregation platform.
2. And collecting external visitor data including personnel photos, identity card numbers, license plate numbers and the like, and establishing an external visitor personnel information base. And comparing the data in the external visitor information base with a local personnel base mastered by a public security organization, and marking out personnel labels of the external visitors.
3. According to the time sequence, a frequent visitor database is established for the personnel who have labels of illegal violations and the like in the external visitors entering and leaving the community within the last 1 month.
4. In the time range of 2 hours, if the detection front end monitors that more than 3 visitors of the same type are present in the frequent visitor database in the local community and residents of the same type are present in the local community, the probability that the situation such as mass-gathering illegal crimes and the like occur in the local community is high, and the research and judgment analysis system gives an early warning prompt of corresponding personnel labels.
The early warning rules of various aggregation events are respectively as follows:
in the range of 2 hours, when 3 or more people belonging to a certain illegal criminal classification appear in the frequent visitor bank and residents in the community have the illegal criminal classification personnel, the research and judgment analysis system sends out early warning corresponding to the illegal criminal classification.
Generally, the embodiment of the invention provides a visitor gathering research and judgment analysis system suitable for a security community, which aims at the intelligent management of residents in a modern community and the summary of the occurrence rule of the community gathering case events.
The study and judgment analysis system analyzes various illegal and illegal events by utilizing a personnel gathering model aiming at group events occurring in a community, sends out corresponding early warning, assists policemen to handle cases and guarantees the life safety of residents in the community. The invention provides a clustering analysis algorithm rule suitable for a cell, namely, in a short time, a plurality of external personnel with the same type of labels appear in the cell, and when the cell contains the personnel with the same type of labels, the event is judged to be illegal and illegal aggregation events of the corresponding label type. The system establishes the data information base of residents and visitors of the residential area by collecting the data of the residents and the external visitors of the residential area, compares and analyzes personnel and the external visitors of the residential area with information of illegal and illegal personnel bases such as a local personnel base, divides personnel types and gives corresponding labels. The system checks the condition that the foreign visitors containing illegal violation labels enter the community in the visitors within about 1 month, and establishes a frequent visitor database. The crowd event has the characteristics of short event, more participators and the like. In order to improve the early warning accuracy, the time range of 2 hours is defined, 3 or more visitors with the same label in a frequent visitor database appear in the community, and when residents with corresponding labels exist in the community, early warning is given out.
In summary, the embodiment of the invention provides a model rule of the community gathering personnel by analyzing the activity rule of illegal and illegal gathering personnel in the community, and a set of gathering personnel research and judgment analysis system suitable for the community is obtained. The sensing data, the algorithm model and the personnel information database of the front-end equipment are utilized for comprehensive study and judgment, and by applying the study and judgment analysis system, abnormal gathering events can be found in time, early warning is given in time, the case handling of policemen is assisted, and long-term security of the society is maintained. The intelligent level of security community has been promoted to this system, under the condition that does not disturb the normal life of district's resident, has promoted the management level of district, has ensured the comfortable life of district's resident.
A second embodiment of the present invention provides a system for analyzing the judgment of abnormal clustering, referring to fig. 3, the system includes:
the setting unit is used for setting corresponding labels for preset personnel according to the classes of the abnormal aggregates to which the preset personnel belong, wherein the labels correspond to the classes of the abnormal aggregates one by one;
the system comprises a detection front end and a detection front end, wherein the detection front end is used for monitoring personnel entering a preset area in real time, and is arranged on the principle that all personnel entering the preset area can be effectively monitored.
And the processor is used for analyzing the detection result of the detection front end, judging that abnormal aggregation exists when the number of people entering the preset area within a set time interval and carrying any type of labels exceeds a preset number threshold, and triggering the early warning device to perform early warning.
In specific implementation, the system is also provided with a database; and associating all the personnel information with the labels and the labels corresponding to the personnel information with each other through the database and then storing the personnel information for subsequent analysis.
The relevant content of the embodiments of the present invention can be understood by referring to the first embodiment of the present invention, and will not be discussed in detail herein.
Although the preferred embodiments of the present invention have been disclosed for illustrative purposes, those skilled in the art will appreciate that various modifications, additions and substitutions are possible, and the scope of the invention should not be limited to the embodiments described above.
Claims (10)
1. A method for analyzing the judgment of abnormal aggregation is characterized by comprising the following steps:
setting corresponding labels for preset personnel according to the categories of the abnormal aggregations to which the preset personnel belong, wherein the labels correspond to the categories of the abnormal aggregations one to one;
and monitoring and analyzing the personnel entering the preset area in real time, and judging that abnormal aggregation exists and triggering early warning when the number of people entering the preset area and carrying any type of labels exceeds a preset number threshold value within a set time interval.
2. The method of claim 1, wherein after the setting of the corresponding label for the predetermined person according to the category of the abnormal cluster to which the predetermined person belongs, the method further comprises:
and associating all the personnel information with the labels and the corresponding labels and storing the associated personnel information and the corresponding labels in a database for subsequent analysis.
3. The method of claim 1, wherein the monitoring of the person entering the predetermined area in real time comprises:
the method comprises the steps of monitoring personnel entering a preset area in real time through a preset detection front end, wherein the detection front end is arranged on the principle that all the personnel entering the preset area can be effectively monitored.
4. The method of claim 2, wherein analyzing persons entering the predetermined area in real time comprises:
and analyzing the monitoring result in real time, and respectively recording the number of people entering the preset area and carrying each type of label within a set time interval after the first person carrying the label enters the preset area.
5. The method according to any one of claims 1 to 4,
the preset people number threshold is respectively set according to the classification of the abnormal aggregation, namely, a preset people number threshold is correspondingly set for each classification of the abnormal aggregation;
or,
all the abnormal clustering classifications correspond to one preset population threshold value.
6. The method according to any one of claims 1 to 4,
the classifications of anomaly aggregations include various criminal offences classifications, and the labels include labels corresponding to the various criminal offences classifications.
7. The method according to any one of claims 1 to 4,
the preset area includes: district, mall, park, square, school and government departments of various levels.
8. An anomaly-gathered discriminant analysis system, comprising:
the setting unit is used for setting corresponding labels for preset personnel according to the classes of the abnormal aggregates to which the preset personnel belong, wherein the labels correspond to the classes of the abnormal aggregates one by one;
the detection front end is used for monitoring personnel entering a preset area in real time;
and the processor is used for analyzing the detection result of the detection front end, judging that abnormal aggregation exists when the number of people entering the preset area within a set time interval and carrying any type of labels exceeds a preset number threshold, and triggering the early warning device to perform early warning.
9. The system of claim 8, further comprising a database;
and the database is used for storing all the personnel information with the labels and the labels corresponding to the personnel information after the personnel information with the labels is associated so as to be used for subsequent analysis.
10. The system of claim 8,
the detection front end is arranged on the principle that all personnel entering the preset area can be effectively monitored.
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