CN109344734A - A kind of population at risk's recognition methods and system - Google Patents
A kind of population at risk's recognition methods and system Download PDFInfo
- Publication number
- CN109344734A CN109344734A CN201811058175.2A CN201811058175A CN109344734A CN 109344734 A CN109344734 A CN 109344734A CN 201811058175 A CN201811058175 A CN 201811058175A CN 109344734 A CN109344734 A CN 109344734A
- Authority
- CN
- China
- Prior art keywords
- data
- information
- population
- risk
- target group
- 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.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 55
- 241000270295 Serpentes Species 0.000 claims abstract description 33
- 238000004458 analytical method Methods 0.000 claims abstract description 17
- 230000000694 effects Effects 0.000 claims description 68
- 238000004519 manufacturing process Methods 0.000 claims description 20
- 238000012549 training Methods 0.000 claims description 14
- 230000009471 action Effects 0.000 claims description 5
- 230000002123 temporal effect Effects 0.000 claims description 3
- 230000002618 waking effect Effects 0.000 claims description 2
- 230000003190 augmentative effect Effects 0.000 description 4
- 238000007796 conventional method Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000006641 stabilisation Effects 0.000 description 2
- 238000011105 stabilization Methods 0.000 description 2
- 206010016275 Fear Diseases 0.000 description 1
- 241000406668 Loxodonta cyclotis Species 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000010411 cooking Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 239000006185 dispersion Substances 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
- G06Q50/265—Personal security, identity or safety
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Tourism & Hospitality (AREA)
- Computer Security & Cryptography (AREA)
- Life Sciences & Earth Sciences (AREA)
- Evolutionary Biology (AREA)
- General Engineering & Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Bioinformatics & Computational Biology (AREA)
- Multimedia (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Artificial Intelligence (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Evolutionary Computation (AREA)
- Health & Medical Sciences (AREA)
- Economics (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Alarm Systems (AREA)
Abstract
The invention discloses a kind of population at risk's recognition methods and systems, wherein, the described method includes: choose the target group to be determined for population at risk, and acquire the data for including at least purchase dangerous goods of target group, case-involving data currently to be performed, the case-involving data of history, one or more analysis data in history crime data；Default disaggregated model is obtained, and according to default disaggregated model, is classified to one or more analysis data, to classify to target group, and is sorted out to corresponding classification；There to be criminal tendency, or there is the movable tendency that wakes a snake, and the target group that corresponding danger level is more than or equal to preset danger level threshold value is identified as population at risk.The solution of the present invention, it can accomplish: accurately predict whether target group is population at risk, and the target group for being determined as population at risk is identified, in order to promptly configure in time and send corresponding police strength, to reduce casualties, and avoid property loss.
Description
Technical field
The present invention relates to identification technology fields, and in particular to a kind of population at risk's recognition methods and system.
Background technique
Existing population at risk's recognition methods often can not accurately identify whether target group to be identified is dangerous
Crowd, recognition methods is relatively simple, for example, according to the historical purchase data of current goal crowd, if current goal crowd goes through
History has purchased cutter, is just population at risk by current goal crowd recognition.In actual life, the customer of cutter is bought, some people
Merely for the sake of the preference to various types of cutters, merely for the sake of respective personal interest.
In addition, the cutter of purchase is only kitchen tools in actual life, it is only used for cooking.In this way, only from single
Historical purchase data just identifies whether current goal crowd is population at risk, according to existing identification technology, the danger that identifies
Dangerous crowd is often inaccuracy.
How accurately to identify whether target group is population at risk, is technical problem to be solved.
Summary of the invention
The embodiment of the present invention is designed to provide a kind of population at risk's recognition methods and system, to solve existing skill
Art can not accurately identify the problem of whether target group is population at risk.
To achieve the above object, the embodiment of the present invention provides a kind of population at risk's recognition methods, which comprises chooses
Target group to be determined for population at risk, and acquire the target group include at least purchase dangerous goods data, when
Preceding case-involving data to be performed, the case-involving data of history, one or more analysis data in history crime data；Obtain default point
Class model, and according to the default disaggregated model, classify to one or more analysis data, to sort out the target person
Group belongs to following one kind: the target group does not have criminal tendency, or without the movable tendency that wakes a snake；The mesh
Mark crowd has criminal tendency, or has the movable tendency that wakes a snake, and corresponding danger level is lower than preset hazard class
Other threshold value；The target group has criminal tendency, or has the movable tendency that wakes a snake, and corresponding danger level is big
In equal to preset danger level threshold value；There to be criminal tendency, or there is the movable tendency that wakes a snake, and is corresponding dangerous
The target group that rank is more than or equal to preset danger level threshold value is identified as population at risk.
Optionally, the method also includes: obtain the history crime data for having been determined as population at risk and/history making fears
It is afraid of movable data；Training dataset is constructed to the data of the history crime data got and/history making terrorist activity, and
The training dataset is trained, to obtain the default disaggregated model.
Optionally, the method also includes: the daily routines data for the target group for being identified as population at risk are supervised
Control, and the daily routines data that acquisition device monitors are reported into management service platform.
Optionally, the method also includes: acquire the identity characteristic data of each target object in the target group, institute
It states identity characteristic data to include at least with the next item down: national, each target object of the name of each target object, each target object
Age, the native place of academic, each target object of each target object, each target object registered permanent residence location, each target object duty
Industry, the home address of each target object, the kinsfolk of each target object, each target object kinsfolk's contact method, with
And the contact method of each target object.
Optionally, the method also includes: if the daily routines data for being identified as the target group of population at risk are shown:
The target group implementing criminal activity and/wake a snake activity, obtain corresponding Crime Information and/or with manufacture probably
It is afraid of the associated information of activity, wherein the Crime Information is included at least with the next item down: when criminal type information, crime starting
Between information, the case-involving number information of crime, crime injured party information, crime prime culprit information, crime accessory information, crime danger classes
Information；Information associated with the terrorist activity of manufacture is included at least with the next item down: terrorist activity type information, terrorist activity rise
Beginning temporal information, the case-involving number information of terrorist activity, terrorist activity injured party information, terrorist activity prime culprit information, terrorist activity
Accessory's information, terrorist activity danger classes information.
Optionally, the method also includes: on the display interface of the display device of the management service platform show mark
Crime Information and/or with the terrorist activity of manufacture associated information of the knowledge for the target group of population at risk.
Optionally, it is shown in a manner of transverse screen on the display interface of the display device of the management service platform and is identified as danger
The Crime Information of the target group of dangerous crowd and/or information associated with the terrorist activity of manufacture；And/or in the management
The crime letter for being identified as the target group of population at risk is shown on the display interface of the display device of service platform in a manner of vertical screen
Breath and/or information associated with the terrorist activity of manufacture.
Optionally, the method also includes: obtain be identified as population at risk target group's criminal activity to be performed and/to
Wake a snake movable geographical location information, case-involving number information, case-involving type information, case-involving temporal information, case-involving danger etc.
One or more action messages in grade information, and one or more action messages are sent to management service platform, with
Convenient for configuring and deploying corresponding police strength.
Optionally, population at risk's recognition methods is applied to future noise policy and life AR application scenarios.
Matching with the above method, another aspect of the present invention provides a kind of population at risk's identifying system, the system comprises:
Data acquisition unit chooses the target group to be determined for population at risk, and acquires including at least for the target group and buy
The data of dangerous goods, current case-involving data to be performed, the case-involving data of history, one or more points in history crime data
Analyse data；Acquiring unit obtains default disaggregated model；Taxon, described default point according to the information acquired by the acquisition unit
Class model, one or more analysis data collected to the data acquisition unit are classified, to sort out the target
Crowd belongs to following one kind: the target group, does not have criminal tendency, or without the movable tendency that wakes a snake；It is described
Target group has criminal tendency, or has the movable tendency that wakes a snake, and corresponding danger level is lower than preset danger
Level threshold；The target group has criminal tendency, or has wake a snake movable tendency, and corresponding danger level
More than or equal to preset danger level threshold value；Unit is identified, there is criminal tendency by what the taxon sorted out, or have
Wake a snake movable tendency, and the target group that corresponding danger level is more than or equal to preset danger level threshold value is identified as
Population at risk.
The embodiment of the present invention has the advantages that a kind of population at risk's recognition methods provided in an embodiment of the present invention and is
System, can accomplish: accurately predict whether target group is population at risk, and to be determined as the target group of population at risk into
Line identifier to reduce casualties, and avoids property loss in order to promptly configure and send corresponding police strength in time.
Detailed description of the invention
Fig. 1 is a kind of flow diagram for population at risk's recognition methods that the embodiment of the present invention 1 provides；
Fig. 2 is a kind of structural schematic diagram for population at risk's identifying system that the embodiment of the present invention 2 provides.
In conjunction with attached drawing, appended drawing reference is as follows in the embodiment of the present invention:
201- data acquisition unit；202- acquiring unit；203- taxon；204- identifies unit.
Specific embodiment
The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention..
Embodiment 1
According to an embodiment of the invention, a kind of population at risk's recognition methods is provided, as shown in Figure 1, implementing for the present invention
The flow diagram for population at risk's identification that example 1 provides.This method at least includes the following steps:
S101 chooses the target group to be determined for population at risk, and acquires including at least for target group and buy danger
The data of article, current case-involving data to be performed, the case-involving data of history, one or more analysis numbers in history crime data
According to；In this way, the type of the analysis data got is more, the analysis result frequently resulted in is also more accurate.
S102 obtains default disaggregated model, and according to default disaggregated model, divides one or more analysis data
Class belongs to following one kind: target group to sort out target group, does not have criminal tendency, or without the activity of waking a snake
Tendency；Target group has criminal tendency, or has the movable tendency that wakes a snake, and corresponding danger level is lower than pre-
If danger level threshold value；Target group has criminal tendency, or has the movable tendency that wakes a snake, and corresponding dangerous
Rank is more than or equal to preset danger level threshold value；In this way, according to default disaggregated model, it will be able to accurately to target group into
Row classification, and especially concern has criminal tendency, or has and wake a snake movable tendency, and corresponding danger level is greater than etc.
In preset danger level threshold value.
It should be noted that the method for obtaining default disaggregated model is conventional method, training dataset is constructed, and to instruction
Practice data set to be trained, to obtain default disaggregated model, details are not described herein.
S103 will have criminal tendency, or have the movable tendency that wakes a snake, and corresponding danger level is more than or equal to
The target group of preset danger level threshold value is identified as population at risk；In this way, targetedly, the dispersion of police strength is avoided, and
Avoid invalid responding.Focus is focused mainly on into above-mentioned population at risk, remaining crowd can be without monitoring its daily work
Dynamic data.
In an optional example, the method also includes: obtain the history crime data for having been determined as population at risk
With the data of/history making terrorist activity；Data building to the history crime data got and/history making terrorist activity
Training dataset, and training dataset is trained, to obtain default disaggregated model；As previously described, to training data
Collection is trained, and the default disaggregated model for obtaining the embodiment of the present invention is conventional method, and details are not described herein.
In an optional example, the method also includes: the daily work to the target group for being identified as population at risk
Dynamic data are monitored, and the daily routines data that acquisition device monitors are reported to management service platform；In this way, management clothes
Platform be engaged in when the daily routines data of the population at risk monitored occur abnormal, then convenient for configuring and transferring corresponding police strength,
To maintain the stabilization and peace of social security.
In an optional example, the method also includes: the identity of each target object in acquisition target group is special
Data are levied, identity characteristic data are included at least with the next item down: the name of each target object, the age of each target object, each target
The native place of academic, each target object of object, the registered permanent residence location of each target object, each target object professional, each target pair
The home address of elephant, the kinsfolk of each target object, each target object kinsfolk's contact method and each target object
Contact method；By acquiring the identity characteristic data of each target object of target group, can more accurately determine: really
It is set to whether each of population at risk target object is offender, or the movable terrorist that wakes a snake, to avoid
Inhabit in the population at risk other to have the citizen for stablizing occupation and observing disciplines and obey laws by false judgment be offender, or system
Make the terrorist of terrorist activity.
In an optional example, the method also includes: if being identified as the daily work of the target group of population at risk
Dynamic data are shown: target group implementing criminal activity and/wake a snake activity, obtain corresponding Crime Information and/or
Information associated with the terrorist activity of manufacture, wherein Crime Information is included at least with the next item down: criminal type information, crime
Start time information, the case-involving number information of crime, crime injured party information, crime prime culprit information, crime accessory information, crime danger
Dangerous class information；Information associated with the terrorist activity of manufacture is included at least with the next item down: terrorist activity type information, terror
Movable start time information, terrorist activity injured party information, terrorist activity prime culprit information, is feared the case-involving number information of terrorist activity
It is afraid of activity accessory information, terrorist activity danger classes information；In this way, it is possible to be accurately obtained as much as possible implementing
Crime Information, or information associated with the terrorist activity implemented, in order to configure in time and rapidly and send phase
The police strength answered goes to maintain the stabilization and peace of local society public security.
In an optional example, the method also includes: in the display interface of the display device of management service platform
It is upper to show the Crime Information for being identified as the target group of population at risk and/or information associated with the terrorist activity of manufacture；This
Sample convenient for being intuitive to see relevant Crime Information, or sees information associated with the terrorist activity of manufacture.
In addition to this, for some application scenarios, and be inconvenient to watch the display interface of display device and at this moment can adopt
It takes to corresponding Crime Information, or information associated with the terrorist activity of manufacture carries out voice broadcast, or broadcast, in short,
No matter will include in which way, above-mentioned Crime Information, or information associated with the terrorist activity of manufacture is in time and accurately
Related management personnel are reported to, details are not described herein.
In an optional example, shown in a manner of transverse screen on the display interface of the display device of management service platform
Be identified as the target group of population at risk Crime Information and/or information associated with the terrorist activity of manufacture；And/or
The criminal for being identified as the target group of population at risk is shown on the display interface of the display device of management service platform in a manner of vertical screen
Guilty information and/or information associated with the terrorist activity of manufacture.
It should be noted that display device can be AR display screen, however, it is not limited to this, and details are not described herein.
In an optional example, the method also includes: the target group that acquisition is identified as population at risk is to be performed
The geographical location information of criminal activity and/terrorist activity to be manufactured, case-involving number information, case-involving type information, letter of case-involving time
One or more action messages in breath, case-involving danger classes information, and one or more action messages are sent to management clothes
Business platform, in order to configure and deploy corresponding police strength；In this way, it is possible in offender, or the movable terror that wakes a snake
Molecule is in time prevented it, to reduce casualties, and is avoided when implementing criminal activity and/terrorist activity to be manufactured
Property loss.
It should be noted that population at risk's recognition methods provided in an embodiment of the present invention is mainly used in future noise policy and life
AR (Augmented Reality, augmented reality) application scenarios living, but it is not limited only to this application scenarios, herein
It repeats no more.
In an optional example, the method also includes: implementing criminal activity and and/manufacturing probably
It is afraid of in the movable case-involving regional scope of geography, each warning device in the geographical case-involving regional scope of starting issues police whistle sound；Siren
Sound is to prompt: for the masses or resident in the case-involving regional scope of the geography, the region is dangerous to be occurred, and is caught up with
It is tight to run；Alternatively, the region is dangerous to be occurred, as far as possible for the masses or resident outside the case-involving regional scope of the geography
Change its course, avoids passing through from its region, in this way, reducing casualties, avoid property loss.
Using the scheme of the embodiment of the present invention, the target group to be determined for population at risk is chosen, and acquires target group
The data for including at least purchase dangerous goods, current case-involving data to be performed, the case-involving data of history, in history crime data
One or more analysis data；Default disaggregated model is obtained, and according to default disaggregated model, to one or more analysis data
Classify, belong to following one kind: target group to sort out target group, does not have criminal tendency, or fear without manufacture
It is afraid of movable tendency；Target group has criminal tendency, or has wake a snake movable tendency, and corresponding danger level
Lower than preset danger level threshold value；Target group has criminal tendency, or has the movable tendency that wakes a snake, and corresponding
Danger level be more than or equal to preset danger level threshold value；There to be criminal tendency, or there is the movable tendency that wakes a snake,
And the target group that corresponding danger level is more than or equal to preset danger level threshold value is identified as population at risk；In such manner, it is possible to
Accomplish: accurately predicting whether target group is population at risk, and the target group for being determined as population at risk is identified,
In order to promptly configure and send corresponding police strength in time, to reduce casualties, and property loss is avoided.
Embodiment 2
According to an embodiment of the invention, additionally providing a kind of population at risk knowledge corresponding to a kind of population at risk's recognition methods
Other system, as shown in Fig. 2, the structural schematic diagram of the population at risk's identifying system provided for the embodiment of the present invention 2.
A kind of population at risk's identifying system provided in an embodiment of the present invention includes: data acquisition unit 201, is chosen to be determined
For the target group of population at risk, and acquire the data for including at least purchase dangerous goods, current to be performed of target group
One or more analysis data in the case-involving data of case-involving data, history, history crime data；Acquiring unit 202 obtains default
Disaggregated model；Taxon 203, the default disaggregated model got according to acquiring unit 202, adopts data acquisition unit 201
The one or more analysis data collected are classified, and belong to following one kind to sort out target group: target group does not have
Criminal tendency, or without the movable tendency that wakes a snake；Target group has criminal tendency, or has the activity that wakes a snake
Tendency, and corresponding danger level is lower than preset danger level threshold value；Target group has criminal tendency, or has system
The tendency of terrorist activity is made, and corresponding danger level is more than or equal to preset danger level threshold value；Unit 204 is identified, will be divided
What class unit 203 sorted out has criminal tendency, or has and wake a snake movable tendency, and corresponding danger level is greater than etc.
Population at risk is identified as in the target group of preset danger level threshold value；In this way, accurately being predicted by taxon 203
Whether target group is population at risk, and is identified to the target group for being determined as population at risk, in order in time promptly
Corresponding police strength is configured and sent, to reduce casualties, and avoids property loss.
It should be noted that the method for obtaining default disaggregated model is conventional method, training dataset is constructed, and to instruction
Practice data set to be trained, to obtain default disaggregated model, details are not described herein.
It should be noted that population at risk's identifying system provided in an embodiment of the present invention is mainly used in future noise policy and life
AR (Augmented Reality, augmented reality) application scenarios living, but it is not limited only to this application scenarios, herein
It repeats no more.
In an optional example, acquiring unit 202 is also used to: obtaining the history crime number for having been determined as population at risk
According to the data with/history making terrorist activity.
The system also includes disaggregated model training units (to be not shown in Fig. 2), disaggregated model training unit, for pair
The history crime data that gets and the data of/history making terrorist activity building training dataset, and to training dataset into
Row training, to obtain default disaggregated model；As previously described, training dataset is trained, obtains the embodiment of the present invention
Default disaggregated model be conventional method, details are not described herein.
Although above having used general explanation and specific embodiment, the present invention is described in detail, at this
On the basis of invention, it can be made some modifications or improvements, this will be apparent to those skilled in the art.Therefore,
These modifications or improvements without departing from theon the basis of the spirit of the present invention are fallen within the scope of the claimed invention.
Claims (10)
1. a kind of population at risk's recognition methods characterized by comprising
The target group to be determined for population at risk is chosen, and acquires including at least for the target group and buys dangerous goods
Data, current case-involving data to be performed, the case-involving data of history, one or more analysis data in history crime data；
Default disaggregated model is obtained, and according to the default disaggregated model, is classified to one or more analysis data, to divide
Class goes out the target group and belongs to following one kind: the target group, does not have criminal tendency, or without the activity of waking a snake
Tendency；The target group has criminal tendency, or has the movable tendency that wakes a snake, and corresponding danger level is low
In preset danger level threshold value；The target group has criminal tendency, or has wake a snake movable tendency, and phase
The danger level answered is more than or equal to preset danger level threshold value；
There to be criminal tendency, or there is the movable tendency that wakes a snake, and corresponding danger level is more than or equal to preset danger
The target group of dangerous level threshold is identified as population at risk.
2. the method as described in claim 1, which is characterized in that the method also includes:
Obtain the data of the history crime data for having been determined as population at risk and/history making terrorist activity；
Training dataset is constructed to the data of the history crime data got and/history making terrorist activity, and to the instruction
Practice data set to be trained, to obtain the default disaggregated model.
3. the method as described in claim 1, which is characterized in that the method also includes:
The daily routines data for the target group for being identified as population at risk are monitored, and acquisition device are monitored daily
Activity data reports to management service platform.
4. the method as described in claim 1, which is characterized in that the method also includes: it acquires each in the target group
The identity characteristic data of target object, the identity characteristic data are included at least with the next item down:
The name of each target object, the age of national, each target object of each target object, each target object academic, each mesh
Mark the native place of object, the registered permanent residence location of each target object, each target object professional, each target object home address, each
The contact method of the kinsfolk of target object, kinsfolk's contact method of each target object and each target object.
5. method as claimed in claim 3, which is characterized in that the method also includes: if being identified as the target of population at risk
The daily routines data of crowd are shown: the target group implementing criminal activity and/wake a snake activity, obtain corresponding
Crime Information and/or information associated with the terrorist activity of manufacture,
Wherein, the Crime Information is included at least with the next item down:
Criminal type information, crime start time information, the case-involving number information of crime, crime injured party information, crime prime culprit letter
Breath, crime accessory information, crime danger classes information；
Information associated with the terrorist activity of manufacture is included at least with the next item down:
Terrorist activity type information, terrorist activity start time information, the case-involving number information of terrorist activity, the terrorist activity injured party
Information, terrorist activity prime culprit information, terrorist activity accessory information, terrorist activity danger classes information.
6. method as claimed in claim 5, which is characterized in that the method also includes:
The criminal for being identified as the target group of population at risk is shown on the display interface of the display device of the management service platform
Guilty information and/or information associated with the terrorist activity of manufacture.
7. method as claimed in claim 6, which is characterized in that
The mesh for being identified as population at risk is shown in a manner of transverse screen on the display interface of the display device of the management service platform
The Crime Information of mark crowd and/or information associated with the terrorist activity of manufacture；And/or
The mesh for being identified as population at risk is shown in a manner of vertical screen on the display interface of the display device of the management service platform
The Crime Information of mark crowd and/or information associated with the terrorist activity of manufacture.
8. the method according to claim 1 to 7, which is characterized in that the method also includes:
Obtain the geographical location letter of the target group's criminal activity to be performed for being identified as population at risk and/terrorist activity to be manufactured
Breath, case-involving number information, case-involving type information, case-involving temporal information, one or more activities in case-involving danger classes information
Information, and one or more action messages are sent to management service platform, in order to configure and deploy corresponding police strength.
9. the method as described in claim 1, which is characterized in that
Population at risk's recognition methods is applied to future noise policy and life AR application scenarios.
10. a kind of population at risk's identifying system characterized by comprising
Data acquisition unit chooses the target group to be determined for population at risk, and acquires including at least for the target group
Buy the data of dangerous goods, current case-involving data to be performed, the case-involving data of history, one or more in history crime data
Item analysis data；
Acquiring unit obtains default disaggregated model；
Taxon, the default disaggregated model according to the information acquired by the acquisition unit acquire the data acquisition unit
To one or more analysis data classify, belong to following one kind to sort out the target group: the target group,
Without criminal tendency, or without the movable tendency that wakes a snake；The target group has criminal tendency, or has system
The tendency of terrorist activity is made, and corresponding danger level is lower than preset danger level threshold value；The target group has crime
Tendency, or there is the movable tendency that wakes a snake, and corresponding danger level is more than or equal to preset danger level threshold value；
Unit is identified, there is criminal tendency by what the taxon sorted out, or there is wake a snake movable tendency, and phase
The target group that the danger level answered is more than or equal to preset danger level threshold value is identified as population at risk.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811058175.2A CN109344734A (en) | 2018-09-11 | 2018-09-11 | A kind of population at risk's recognition methods and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811058175.2A CN109344734A (en) | 2018-09-11 | 2018-09-11 | A kind of population at risk's recognition methods and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109344734A true CN109344734A (en) | 2019-02-15 |
Family
ID=65304946
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811058175.2A Pending CN109344734A (en) | 2018-09-11 | 2018-09-11 | A kind of population at risk's recognition methods and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109344734A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112818249A (en) * | 2021-03-04 | 2021-05-18 | 中南大学 | Multi-dimensional image construction method and system for crowd with specific tendency |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104182805A (en) * | 2014-08-22 | 2014-12-03 | 杭州华亭科技有限公司 | Dangerous tendency prediction method based on prisoner behavior characteristic ensemble learning model |
| CN105139029A (en) * | 2015-08-14 | 2015-12-09 | 哈尔滨华夏矿安科技有限公司 | Activity recognition method and activity recognition device for persons serving sentences |
| US20180060670A1 (en) * | 2016-09-01 | 2018-03-01 | The Boeing Company | Scene change detection via multiple sensors |
-
2018
- 2018-09-11 CN CN201811058175.2A patent/CN109344734A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104182805A (en) * | 2014-08-22 | 2014-12-03 | 杭州华亭科技有限公司 | Dangerous tendency prediction method based on prisoner behavior characteristic ensemble learning model |
| CN105139029A (en) * | 2015-08-14 | 2015-12-09 | 哈尔滨华夏矿安科技有限公司 | Activity recognition method and activity recognition device for persons serving sentences |
| US20180060670A1 (en) * | 2016-09-01 | 2018-03-01 | The Boeing Company | Scene change detection via multiple sensors |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112818249A (en) * | 2021-03-04 | 2021-05-18 | 中南大学 | Multi-dimensional image construction method and system for crowd with specific tendency |
| CN112818249B (en) * | 2021-03-04 | 2022-06-21 | 中南大学 | Multi-dimensional image construction method and system for crowd with specific tendency |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10686687B2 (en) | Integrated personal safety and equipment monitoring system | |
| CN107145704B (en) | Community-oriented health medical monitoring and evaluating system and method | |
| RU2700498C2 (en) | Personal emergency response system with prognostic risk assessment of emergency call | |
| CN104334075A (en) | Biometric attribute anomoly detection system with adjusting notifications | |
| CN104092577B (en) | A kind of network alarm notice system and its notification method | |
| CN102447570A (en) | Monitoring device and method based on health degree analysis | |
| CN108353149A (en) | CCTV sorts monitoring system CCTV and sorts monitoring management server and management method automatically automatically | |
| CN105491125A (en) | Air conditioner fault alarming and repairing system and air conditioner fault alarming and repairing method | |
| AU2013207540A1 (en) | Released offender geospatial location information trend analysis | |
| CN109218102A (en) | A kind of alarm monitoring method and system | |
| CN111080968A (en) | Linkage control early warning method and system for accidental occurrence of solitary old people | |
| Bauman et al. | Using social sensors for detecting emergency events: a case of power outages in the electrical utility industry | |
| EP2897088A1 (en) | Method and apparatus for optimum spatial clustering | |
| CN108614989A (en) | A kind of old man's intelligent monitor method, system and medium based on WiFi | |
| CN109460744A (en) | A kind of video monitoring system based on deep learning | |
| CN112363443A (en) | Automatic monitoring method and system for data center | |
| CN109391990A (en) | A kind of wireless traffic method for monitoring performance and system | |
| GB2489435A (en) | Detecting Modified Behaviour in Bees | |
| CN112001443A (en) | Network behavior data monitoring method and device, storage medium and electronic equipment | |
| KR20220165876A (en) | Community disaster safety diagnosis system and method | |
| CN109344734A (en) | A kind of population at risk's recognition methods and system | |
| CN110348733A (en) | The determination method and device of checks sequence | |
| AU2010322437A1 (en) | Real-time method and system for controlling healthcare delivery processes within a clinical environment | |
| CN110852520A (en) | Block chain based nursing method and device | |
| US20090227239A1 (en) | Traveler's alert system (tas) |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190215 |
|
| RJ01 | Rejection of invention patent application after publication |