CN109784525A - Method for early warning and device based on day vacant lot integration data - Google Patents
Method for early warning and device based on day vacant lot integration data Download PDFInfo
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Abstract
The application discloses a kind of method for early warning and device, electronic equipment and computer-readable medium based on day vacant lot integration data.It is related to computer information processing and the communications field, this method comprises: obtaining current day vacant lot integration data；Extract the feature vector of the current day vacant lot integration data；The target criminal type of the current day vacant lot integration data is obtained according to the feature vector of the current day vacant lot integration data and using machine learning model；The value-at-risk of the current day vacant lot integration data is obtained according to the history day vacant lot integration data in the target criminal type；If the value-at-risk of the current day vacant lot integration data is more than risk threshold value, warning information is sent.
Description
Technical field
The present invention relates to computer information processings and the communications field, air-ground integrated based on day in particular to one kind
The method for early warning and device of data.
Background technique
The arriving of big data era has pushed data resource sharing open and development and application.Currently, big data is in electricity
The industries such as sub- commercial affairs, traffic, public health, finance have played important function, also for social safety public security prevention and control provide new way,
New tool.Intelligent information safetyization based on big data technology can help to play huge work in various countries' strike terrorist
With.In recent years, China various regions public security organ carries out anti-terrorism using big data one after another also in the application in actual combat for constantly exploring big data
The explorative research work of stability maintenance prediction, public security prediction of situation, social safety improvement, social public opinion prediction etc..
It can be seen that big data has very big utility value in social safety field.But current many public security are big
Data platform there is also data acquire not comprehensively, information fusion not enough, relevance is weak the problems such as, this paper emphasis from anti-terrorism stability maintenance,
The angle of social security prevention and control, Study Sky integration data social safety field application, it is intended to using big data etc.
Information approach promotes the ability that public security department carries out effective early warning and strike processing to criminal offence and control object.
Therefore, it is necessary to a kind of new method for early warning and device based on day vacant lot integration data.
Above- mentioned information are only used for reinforcing the understanding to background of the invention, therefore it disclosed in the background technology part
It may include the information not constituted to the prior art known to persons of ordinary skill in the art.
Summary of the invention
In view of this, the present invention provides a kind of method for early warning and device, electronic equipment based on day vacant lot integration data
And computer-readable medium, the early warning of illegal activity can be carried out automatically.
Other characteristics and advantages of the invention will be apparent from by the following detailed description, or partially by the present invention
Practice and acquistion.
According to an aspect of the invention, it is proposed that a kind of method for early warning based on day vacant lot integration data, comprising: acquisition is worked as
The day before yesterday air-ground integrated data；Extract the feature vector of the current day vacant lot integration data；According to the current day vacant lot
The feature vector of integration data and the target crime that the current day vacant lot integration data is obtained using machine learning model
Type；The current day vacant lot integration data is obtained according to the history day vacant lot integration data in the target criminal type
Value-at-risk；If the value-at-risk of the current day vacant lot integration data is more than risk threshold value, warning information is sent.
In a kind of exemplary embodiment of the disclosure, further includes: obtain history day vacant lot integration data；It is gone through described
The vacant lot Shi Tian integration data and the current day vacant lot integration data are stored into block chain.
In a kind of exemplary embodiment of the disclosure, further includes: extract the history day vacant lot in the block chain
The feature vector of integration data；According to the feature vector of history day vacant lot integration data and utilize the machine learning
History day vacant lot integration data is divided into miscellaneous category of offenses type by model；Wherein, the target criminal type belongs to institute
State one of miscellaneous category of offenses type.
It is air-ground integrated according to the history day in the target criminal type in a kind of exemplary embodiment of the disclosure
Data obtain the value-at-risk of the current day vacant lot integration data, comprising: by the current day vacant lot integration data and institute
The history day vacant lot integration data stated in target criminal type is matched, and maximum matching degree is obtained；According to described maximum
The value-at-risk of the current day vacant lot integration data is calculated with degree.
In a kind of exemplary embodiment of the disclosure, the machine learning model is SVM model.
In a kind of exemplary embodiment of the disclosure, history day vacant lot integration data and the current day vacant lot
Integration data includes satellite and aerial images data, public business division data, social data, any one in network data
Kind is a variety of.
In a kind of exemplary embodiment of the disclosure, further includes: by the history day vacant lot one of unstructured data
Body data and the current day vacant lot integration data are converted to structural data.
According to an aspect of the invention, it is proposed that a kind of prior-warning device based on day vacant lot integration data, the device include:
Current data obtains module, is configured to obtain current day vacant lot integration data；Current signature extraction module is configured to extract institute
State the feature vector of current day vacant lot integration data；Criminal type obtains module, is configured to according to the current day vacant lot one
The feature vector of body data and the target crime class that the current day vacant lot integration data is obtained using machine learning model
Type；Value-at-risk obtains module, is configured to according to the history day vacant lot integration data acquisition in the target criminal type
The value-at-risk of current day vacant lot integration data；Warning information sending module, if being configured to the air-ground integrated number in current day
According to value-at-risk be more than risk threshold value, then send warning information.
According to an aspect of the invention, it is proposed that a kind of electronic equipment, which includes: one or more processors；
Storage device, for storing one or more programs；When one or more programs are executed by one or more processors, so that one
A or multiple processors realize such as methodology above.
According to an aspect of the invention, it is proposed that a kind of computer-readable medium, is stored thereon with computer program, feature
It is, method as mentioned in the above is realized when program is executed by processor.
Method for early warning and device according to the present invention based on day vacant lot integration data, by extracting the current sky
The feature vector of ground integration data, so as to according to the feature vector of the current day vacant lot integration data and utilize machine
Device learning model obtains the target criminal type of the current day vacant lot integration data；And further according to the target crime
History day vacant lot integration data in type obtains the value-at-risk of the current day vacant lot integration data, works as the day before yesterday described
When the value-at-risk of air-ground integrated data is more than risk threshold value, then warning information can be sent automatically.
It should be understood that the above general description and the following detailed description are merely exemplary, this can not be limited
Invention.
Detailed description of the invention
Its example embodiment is described in detail by referring to accompanying drawing, above and other target of the invention, feature and advantage will
It becomes more fully apparent.Drawings discussed below is only some embodiments of the present invention, for the ordinary skill of this field
For personnel, without creative efforts, it is also possible to obtain other drawings based on these drawings.
Fig. 1 is a kind of system of method for early warning based on day vacant lot integration data shown according to an exemplary embodiment
Framework.
Fig. 2 is a kind of process of method for early warning based on day vacant lot integration data shown according to an exemplary embodiment
Figure.
Fig. 3 is a kind of frame of prior-warning device based on day vacant lot integration data shown according to an exemplary embodiment
Figure.
Fig. 4 is the block diagram of a kind of electronic equipment shown according to an exemplary embodiment.
Fig. 5 is a kind of computer-readable medium schematic diagram shown according to an exemplary embodiment.
Specific embodiment
Example embodiment is described more fully with reference to the drawings.However, example embodiment can be real in a variety of forms
It applies, and is not understood as limited to embodiment set forth herein；On the contrary, thesing embodiments are provided so that the present invention will be comprehensively and complete
It is whole, and the design of example embodiment is comprehensively communicated to those skilled in the art.Identical appended drawing reference indicates in figure
Same or similar part, thus repetition thereof will be omitted.
In addition, described feature, structure or characteristic can be incorporated in one or more implementations in any suitable manner
In example.In the following description, many details are provided to provide and fully understand to the embodiment of the present invention.However,
It will be appreciated by persons skilled in the art that technical solution of the present invention can be practiced without one or more in specific detail,
Or it can be using other methods, constituent element, device, step etc..In other cases, it is not shown in detail or describes known side
Method, device, realization or operation are to avoid fuzzy each aspect of the present invention.
Block diagram shown in the drawings is only functional entity, not necessarily must be corresponding with physically separate entity.
I.e., it is possible to realize these functional entitys using software form, or realized in one or more hardware modules or integrated circuit
These functional entitys, or these functional entitys are realized in heterogeneous networks and/or processor device and/or microcontroller device.
Flow chart shown in the drawings is merely illustrative, it is not necessary to including all content and operation/step,
It is not required to execute by described sequence.For example, some operation/steps can also decompose, and some operation/steps can close
And or part merge, therefore the sequence actually executed is possible to change according to the actual situation.
It should be understood that although herein various assemblies may be described using term first, second, third, etc., these groups
Part should not be limited by these terms.These terms are to distinguish a component and another component.Therefore, first group be discussed herein below
Part can be described as the second component without departing from the teaching of disclosure concept.As used herein, term " and/or " include associated
All combinations for listing any of project and one or more.
It will be understood by those skilled in the art that attached drawing is the schematic diagram of example embodiment, module or process in attached drawing
Necessary to not necessarily implementing the present invention, therefore it cannot be used for limiting the scope of the invention.
Disclosure example embodiment is described in detail with reference to the accompanying drawing.
Fig. 1 is a kind of system of method for early warning based on day vacant lot integration data shown according to an exemplary embodiment
Framework.
As shown in Figure 1, system architecture 100 may include terminal device 101,102,103, network 104 and server 105.
Network 104 between terminal device 101,102,103 and server 105 to provide the medium of communication link.Network 104 can be with
Including various connection types, such as wired, wireless communication link or fiber optic cables etc..
User can be used terminal device 101,102,103 and be interacted by network 104 with server 105, to receive or send out
Send message etc..Various telecommunication customer end applications, such as the application of shopping class, net can be installed on terminal device 101,102,103
The application of page browsing device, searching class application, instant messaging tools, mailbox client, social platform software etc..
Terminal device 101,102,103 can be the various electronic equipments with display screen and supported web page browsing, packet
Include but be not limited to smart phone, tablet computer, pocket computer on knee and desktop computer etc..
Server 105 can be to provide the server of various services, such as utilize terminal device 101,102,103 to user
All kinds of websites browsed provide the background server supported.Background server can divide the data such as the request received
The processing such as analysis, and processing result (such as warning information) is fed back into terminal device.
It should be noted that the processing of data provided by the embodiment of the present application is generally executed by server 105.
It should be understood that the number of terminal device, network and server in Fig. 1 is only schematical.According to realization need
It wants, can have any number of terminal device, network and server.
Fig. 2 is a kind of process of method for early warning based on day vacant lot integration data shown according to an exemplary embodiment
Figure.
As shown in Fig. 2, being somebody's turn to do the method for early warning based on day vacant lot integration data may comprise steps of.
In step S210, current day vacant lot integration data is obtained.
In the exemplary embodiment, the method can also include: to obtain history day vacant lot integration data；It is gone through described
The vacant lot Shi Tian integration data and the current day vacant lot integration data are stored into block chain.
In the application scenarios of block chain technology, learned using the chain transaction data structure and encryption of block chain Hash pointer
The mechanism that digital signature is learned in Hash calculation and encryption realizes the multi-level evidence approval in process of exchange to realize that Different Individual is handed over
Trust problem between Yi Fang.In the embodiment of the present invention, the various day vacant lots integration data of authorization is uploaded into block chain, is had
There is secret protection (access authority limitation, picture or video with watermark etc.), can be traced, be not easy the features such as distorting.
In the embodiment of the present invention, block chain node and block chain network are constructed first；Carry out information storage and authentification of message
The definition of data format: shared information is stored and authenticated according to the data structure mode of definition, information storage means and agreement
Deng to guarantee the high efficiency of information storage and information processing.
In the exemplary embodiment, the method can also include: the history day vacant lot extracted in the block chain
The feature vector of integration data；According to the feature vector of history day vacant lot integration data and utilize the machine learning
History day vacant lot integration data is divided into miscellaneous category of offenses type by model.
For example, the criminal type may include in terrorist activity, drugs related crime, robbery crime, theft crime etc.
Any one or it is a variety of.
In the exemplary embodiment, history day vacant lot integration data and the current day vacant lot integration data can
With include in satellite and aerial images data, public business division data, social data, network data etc. any one or
It is a variety of.
Here day vacant lot integration data refer to empty day field satellite and aerial images and ground detection acquisition
The general designation of Various types of data.According to different field and source involved in the integration data of day vacant lot, classify to data:
(1) satellite and aerial images data
Satellite and aerial images data include space flight, the data that multiple sensors generate in aviation kinds of platform, such as panchromatic, mostly light
The remote sensing image data of the shootings such as spectrum, EO-1 hyperion, infrared, synthetic aperture radar, laser radar.
(2) public business division data
Public business division data rests in each department's hand, mainly includes electronics bayonet data, monitor video video recording, electronics
Fence, electronic police, entry and exit certificates handling information, entry and exit record, connect information of dealing with emergencies and dangerous situations, permanent resident population, emphasis personnel, motor vehicle,
Driver, history case etc..
(3) social data
Social data refer mainly to the data of government department and social per-unit system record, as transit ticketing systems, business system,
Hotel accommodations system, health system, industrial and commercial administration system, civil administration justice system, education religion system, geography information system
The data of system, logistics system etc..
(4) network data
Network data specifically includes that first is that microblogging, QQ, community, the user generated data in the social networks such as Email, two
It is the data such as user behavior caused by the network behaviors such as search engine, operator, online shopping, financial service, transaction log.
(5) other data
Other data, which refer to, is not included into the above-mentioned type, but may have the data centainly influenced on public safety.
Its vacant lot integration data is on the basis of meeting big data 4V characteristic, due to its data source cross-layer grade, across ground
Domain, cross-system, trans-departmental, trans-sectoral business, and show new characteristic:
(1) diversification
Its air-ground integrated big data is due to needing to converge satellite remote-sensing image data, video data spanning space-time, electromagnetic information, net
Network data, social data and public security department's data etc., diversification are not only embodied in the diversity of data type, are also embodied in number
Multiple dimensioned, more granularities between, if the sensor of remote sensing observations includes panchromatic, multispectral, EO-1 hyperion, infrared, synthesis
Aperture radar, laser radar etc., their observation scope is each different, and the data format of generation is also not quite similar；It is equally rail
Mark data, such as track and the track data of video monitoring, mobile phone shooting of remote sensing image shooting.
(2) evolutive
Its vacant lot integration data, has a distinct time-space attribute, i.e., data at any time with the variation in space and change, for example,
Certain attributes of entity are in different time points or space is there may be variation, and this requires Rational Model evolved behaviors, guarantee number
According to consistency.Meanwhile in anti-terrorism stability maintenance field, there is higher timeliness requirement to data processing.
(3) accuracy
Since its data source is more, the feature of data multiplicity, different data sources or different moments produce its vacant lot integration data
Raw data, it is possible to which meeting is conflicting or conflicts, therefore before data analysis, it should handle the content punching between information source
It is prominent, eliminate the ambiguity of information.Meanwhile the information that the data of data mapping include sometimes is not comprehensive enough, obtains multiple information sources
Data carry out fusion association, can mutually be confirmed with completion information or to information, to improve the accuracy of data.
These new features of its vacant lot integration data propose more for the access of data, processing, storage, fusion association
High requirement.
In the exemplary embodiment, the method can also include: by the history day vacant lot one of unstructured data
Body data and the current day vacant lot integration data are converted to structural data.
The Intellisense and processing technique of data, are the bases of big data analysis, and the quality of data directly affects analysis knot
Fruit.Its vacant lot integration data, it is wide since there are data sources, data format is various, structuring and unstructured data and deposits
The features such as, it in terms of the collaborative perception of data and processing, needs to carry out following processing: first is that multi-source heterogeneous data are acquired and exchanged
Interface；Second is that data cleansing, eliminates much noise, redundant data present in data, improves the quality of data；Third is that mode is known
Other technology, the unstructured datas such as remote sensing image, video spanning space-time, audio and network text are converted to can be automatic for computer
The structural data of identification.
In step S220, the feature vector of the current day vacant lot integration data is extracted.
In step S230, according to the feature vector of the current day vacant lot integration data and machine learning model is utilized
Obtain the target criminal type of the current day vacant lot integration data.
Wherein, the target criminal type belongs to one of described miscellaneous category of offenses type.
In the embodiment of the present invention, the machine learning model can be SVM(Support Vector Machine, support
Vector machine) model.But the present invention is not limited to this, can also be other suitable machine learning models.
In step S240, obtained according to the history day vacant lot integration data in the target criminal type described current
The value-at-risk of its vacant lot integration data.
In the exemplary embodiment, according to the history day vacant lot integration data acquisition in the target criminal type
The value-at-risk of current day vacant lot integration data may include: to violate the current day vacant lot integration data and the target
History day vacant lot integration data in guilty type is matched, and maximum matching degree is obtained；It is calculated according to the maximum matching degree
The value-at-risk of the current day vacant lot integration data.
In step s 250, it if the value-at-risk of the current day vacant lot integration data is more than risk threshold value, sends pre-
Alert information.
In the embodiment of the present invention, the extraction of feature is carried out to existing history day vacant lot integration data in block chain first
It is operated with dimensionality reduction etc., with the feature vector of each history day vacant lot integration data, using SVM model to existing history sky
Ground integration data is divided into N class { 1,2 ..N }, by the new current day vacant lot integration data being added in block catenary system sort out to
Kth class in existing N class, and calculate existing each history in the current day vacant lot integration data being newly added and kth class
The matching degree of its vacant lot integration data, and the maximum value P in the matching degree for calculating and obtaining is taken, wind is carried out according to the size of P value
The assessment of dangerous grade, formula can be with are as follows:
Wherein, a, b, c are parameter, and above-mentioned formula is calculated the Y obtained and normalizes to 0-100, if the risk class of Y > 80=height；Y<
=80, risk class=low.
Today's society is flooded with the information of all kinds of flowings, the stream of people, logistics, cash flow, the interlaced fusion of information flow, to public affairs
Security fields event prediction early warning altogether brings very big risk.In this case, by the management of people and single monitoring hand
Duan Xianran is not all right, a united information environment can be constructed by big data advantage, according to the various crimes of these information excavatings
Clue: such as analysis high score satellite remote-sensing image data, the variation of Spatial distributions information can be fast and effeciently monitored, is excavated probably
It is afraid of training camp and the active tunnel of molecule；The vagrant of remote districts, all day, international chat tool was linked up with extraneous
Connection, it may be possible to some features of terrorist.
The activity of offender has concealment, is less susceptible to control, but still there is certain rule can follow.For example fear
Fear clique will plan a terrorist incident of certain scale, it is necessary to meet the needs of human and material resources, fund, terrorist
Between to be contacted by various means, whole process will carry out careful planning.Therefore, the day vacant lot one by acquiring in real time
Change data, the logarithm factually now association of multiple dimensioned, more granularities can dynamically grasp activity space rule, the group of offender
Body law of honor identifies abnormal behaviour and abnormal personnel in time, has to prediction crime dramas, crime hot zones and criminal trend
There are very big potential advantages.
By big data analysis, carry out the daily control of emphasis personnel, its all-network behavior of monitor closely and daily social activity
Object of action, establishes crowd's Multidimensional Relation network knowledge map, and by people, the important attribute feature of object, case (thing) part, tissue,
The collision that is associated with for carrying out one-to-one, one-to-many, many-one or multi-to-multi with the information resources in types of databases compares, and sends out in time
Existing criminal and clique.
After case occurs, offender escapes and hide, can be by by the tracked information of public security department, the monitoring of important place
Video, general public are associated analysis using the information etc. that the social networks such as microblogging, QQ, community are issued, dynamically the criminal of grasp
The whereabouts of guilty molecule realize the tracking to offender.
It is based on day vacant lot intergrated workbench by building, integrates the satellite and aerial images, public security industry in empty day field
Big data storage, computing technique are dissolved into system totality frame by business data, all kinds of resources of social unit data and network data etc.
In structure design, changes the mode of social public security field " subsequent verification ", be dedicated to quick response energy in early warning in advance and thing
The General Promotion of power.
Method for early warning according to the present invention based on day vacant lot integration data, by extracting the current day vacant lot one
Change data feature vector, so as to according to the feature vector of the current day vacant lot integration data and utilize machine learning
Model obtains the target criminal type of the current day vacant lot integration data；And further according in the target criminal type
History day vacant lot integration data obtain the value-at-risk of the current day vacant lot integration data, in the current day vacant lot one
When the value-at-risk of body data is more than risk threshold value, then warning information can be sent automatically.
Its vacant lot integration data makes full use of the predictive ability of big data, structure in the application in social public security field
Public safety police service mode building a kind of active, putting prevention first provides history opportunity to promote public safety supportability.
With the accumulation of mass data and the continuous maturation of big data technology, big data analysis, prediction accuracy also can constantly mention
Height will further promote Data mining, event prediction pre-alerting ability, and the practical application for preferably serving social safety needs
It asks.
It will be clearly understood that the present disclosure describe how being formed and using particular example, but the principle of the present invention is not limited to
These exemplary any details.On the contrary, the introduction based on present disclosure, these principles can be applied to many other
Embodiment.
It will be appreciated by those skilled in the art that realizing that all or part of the steps of above-described embodiment is implemented as being held by CPU
Capable computer program.When the computer program is executed by CPU, execute on defined by the above method provided by the invention
State function.The program can store in a kind of computer readable storage medium, which can be read-only storage
Device, disk or CD etc..
Further, it should be noted that above-mentioned attached drawing is only place included by method according to an exemplary embodiment of the present invention
Reason schematically illustrates, rather than limits purpose.It can be readily appreciated that above-mentioned processing shown in the drawings is not indicated or is limited at these
The time sequencing of reason.In addition, be also easy to understand, these processing, which can be, for example either synchronously or asynchronously to be executed in multiple modules.
Following is apparatus of the present invention embodiment, can be used for executing embodiment of the present invention method.For apparatus of the present invention reality
Undisclosed details in example is applied, embodiment of the present invention method is please referred to.
Fig. 3 is a kind of frame of prior-warning device based on day vacant lot integration data shown according to an exemplary embodiment
Figure.
According to an aspect of the invention, it is proposed that a kind of prior-warning device based on day vacant lot integration data, which can
To include: that current data obtains module 310, current signature extraction module 320, criminal type acquisition module 330, value-at-risk acquisition
Module 340 and warning information sending module 350.
Wherein, current data obtains module 310 and is configurable to obtain current day vacant lot integration data.
Current signature extraction module 320 is configurable to extract the feature vector of the current day vacant lot integration data.
Criminal type obtains module 330 and is configurable to according to the feature vector of the current day vacant lot integration data simultaneously
The target criminal type of the current day vacant lot integration data is obtained using machine learning model.
Value-at-risk obtains module 340 and is configurable to according to the air-ground integrated number in history day in the target criminal type
According to the value-at-risk for obtaining the current day vacant lot integration data.
If the value-at-risk that warning information sending module 350 is configurable to the current day vacant lot integration data is more than wind
Dangerous threshold value, then send warning information.
In the exemplary embodiment, which can also include: that historical data obtains module, be configurable to obtain
History day vacant lot integration data；Data memory module is configurable to history day vacant lot integration data and described
Current day vacant lot integration data is stored into block chain.
In the exemplary embodiment, which can also include: history feature extraction module, be configurable to extract
The feature vector of history day vacant lot integration data in the block chain；Criminal type division module, is configurable to
According to the feature vector of history day vacant lot integration data and utilize the machine learning model by history day vacant lot
Integration data is divided into miscellaneous category of offenses type；Wherein, the target criminal type belongs to one in the miscellaneous category of offenses type
Kind.
In the exemplary embodiment, it may include: matching degree computing unit that value-at-risk, which obtains module 340, be configurable to
The current day vacant lot integration data is matched with the history day vacant lot integration data in the target criminal type,
Obtain maximum matching degree；Value-at-risk computing unit is configurable to calculate the current day vacant lot according to the maximum matching degree
The value-at-risk of integration data.
In the exemplary embodiment, the machine learning model can be SVM model.
In the exemplary embodiment, history day vacant lot integration data and the current day vacant lot integration data can
With include satellite and aerial images data, public business division data, social data, in network data any one or it is more
Kind.
In the exemplary embodiment, which can also include: data format conversion module, and being configurable to will be non-
The history day vacant lot integration data of structural data and the current day vacant lot integration data are converted to structuring number
According to.
Fig. 4 is the block diagram of a kind of electronic equipment shown according to an exemplary embodiment.
The electronic equipment 200 of this embodiment according to the present invention is described referring to Fig. 4.The electronics that Fig. 4 is shown
Equipment 200 is only an example, should not function to the embodiment of the present invention and use scope bring any restrictions.
As shown in figure 4, electronic equipment 200 is showed in the form of universal computing device.The component of electronic equipment 200 can wrap
It includes but is not limited to: at least one processing unit 210, at least one storage unit 220, (including the storage of the different system components of connection
Unit 220 and processing unit 210) bus 230, display unit 240 etc..
Wherein, the storage unit is stored with program code, and said program code can be held by the processing unit 210
Row, so that the processing unit 210 executes described in this specification above-mentioned electronic prescription circulation processing method part according to this
The step of inventing various illustrative embodiments.For example, the processing unit 210 can execute step as shown in Figure 2.
The storage unit 220 may include the readable medium of volatile memory cell form, such as random access memory
Unit (RAM) 2201 and/or cache memory unit 2202 can further include read-only memory unit (ROM) 2203.
The storage unit 220 can also include program/practical work with one group of (at least one) program module 2205
Tool 2204, such program module 2205 includes but is not limited to: operating system, one or more application program, other programs
It may include the realization of network environment in module and program data, each of these examples or certain combination.
Bus 230 can be to indicate one of a few class bus structures or a variety of, including storage unit bus or storage
Cell controller, peripheral bus, graphics acceleration port, processing unit use any bus structures in a variety of bus structures
Local bus.
Electronic equipment 200 can also be with one or more external equipment 300(such as keyboard, sensing equipment, bluetooth equipment
Deng) communication, can also be enabled a user to one or more equipment interact with the electronic equipment 200 communicate, and/or with make
Any equipment (such as the router, modulation /demodulation that the electronic equipment 200 can be communicated with one or more of the other calculating equipment
Device etc.) communication.This communication can be carried out by input/output (I/O) interface 250.Also, electronic equipment 200 can be with
By network adapter 260 and one or more network (such as Local Area Network, wide area network (WAN) and/or public network,
Such as internet) communication.Network adapter 260 can be communicated by bus 230 with other modules of electronic equipment 200.It should
Understand, although not shown in the drawings, other hardware and/or software module can be used in conjunction with electronic equipment 200, including but unlimited
In: microcode, device driver, redundant processing unit, external disk drive array, RAID system, tape drive and number
According to backup storage system etc..
Through the above description of the embodiments, those skilled in the art is it can be readily appreciated that example described herein is implemented
Mode can also be realized by software realization in such a way that software is in conjunction with necessary hardware.Therefore, according to the disclosure
The technical solution of embodiment can be embodied in the form of software products, which can store non-volatile at one
Property storage medium (can be CD-ROM, USB flash disk, mobile hard disk etc.) in or network on, including some instructions are so that a calculating
Equipment (can be personal computer, server or network equipment etc.) executes the above-mentioned electronics according to disclosure embodiment
Prescription circulation processing method.
Fig. 5 is a kind of computer-readable medium schematic diagram shown according to an exemplary embodiment.
Refering to what is shown in Fig. 5, describing the program product for realizing the above method of embodiment according to the present invention
400, can using portable compact disc read only memory (CD-ROM) and including program code, and can in terminal device,
Such as it is run on PC.However, program product of the invention is without being limited thereto, in this document, readable storage medium storing program for executing can be with
To be any include or the tangible medium of storage program, the program can be commanded execution system, device or device use or
It is in connection.
Described program product can be using any combination of one or more readable mediums.Readable medium can be readable letter
Number medium or readable storage medium storing program for executing.Readable storage medium storing program for executing for example can be but be not limited to electricity, magnetic, optical, electromagnetic, infrared ray or
System, device or the device of semiconductor, or any above combination.The more specific example of readable storage medium storing program for executing is (non exhaustive
List) include: electrical connection with one or more conducting wires, portable disc, hard disk, random-access memory (ram), read-only
Memory (ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, portable compact disc read only memory
(CD-ROM), light storage device, magnetic memory device or above-mentioned any appropriate combination.
The computer readable storage medium may include in a base band or the data as the propagation of carrier wave a part are believed
Number, wherein carrying readable program code.The data-signal of this propagation can take various forms, including but not limited to electromagnetism
Signal, optical signal or above-mentioned any appropriate combination.Readable storage medium storing program for executing can also be any other than readable storage medium storing program for executing
Readable medium, the readable medium can send, propagate or transmit for by instruction execution system, device or device use or
Person's program in connection.The program code for including on readable storage medium storing program for executing can transmit with any suitable medium, packet
Include but be not limited to wireless, wired, optical cable, RF etc. or above-mentioned any appropriate combination.
The program for executing operation of the present invention can be write with any combination of one or more programming languages
Code, described program design language include object oriented program language-Java, C++ etc., further include conventional
Procedural programming language-such as " C " language or similar programming language.Program code can be fully in user
It calculates and executes in equipment, partly executes on a user device, being executed as an independent software package, partially in user's calculating
Upper side point is executed on a remote computing or is executed in remote computing device or server completely.It is being related to far
Journey calculates in the situation of equipment, and remote computing device can pass through the network of any kind, including Local Area Network or wide area network
(WAN), it is connected to user calculating equipment, or, it may be connected to external computing device (such as utilize ISP
To be connected by internet).
Above-mentioned computer-readable medium carries one or more program, when said one or multiple programs are by one
When the equipment executes, so that the computer-readable medium implements function such as: obtaining current day vacant lot integration data；Extract institute
State the feature vector of current day vacant lot integration data；According to the feature vector of the current day vacant lot integration data and utilization
Machine learning model obtains the target criminal type of the current day vacant lot integration data；According in the target criminal type
History day vacant lot integration data obtain the value-at-risk of the current day vacant lot integration data；If the current day vacant lot one
The value-at-risk of body data is more than risk threshold value, then sends warning information.
It will be appreciated by those skilled in the art that above-mentioned each module can be distributed in device according to the description of embodiment, it can also
Uniquely it is different from one or more devices of the present embodiment with carrying out corresponding change.The module of above-described embodiment can be merged into
One module, can also be further split into multiple submodule.
By the description of above embodiment, those skilled in the art is it can be readily appreciated that example embodiment described herein
It can also be realized in such a way that software is in conjunction with necessary hardware by software realization.Therefore, implement according to the present invention
The technical solution of example can be embodied in the form of software products, which can store in a non-volatile memories
In medium (can be CD-ROM, USB flash disk, mobile hard disk etc.) or on network, including some instructions are so that a calculating equipment (can
To be personal computer, server, mobile terminal or network equipment etc.) it executes according to the method for the embodiment of the present invention.
It is particularly shown and described exemplary embodiment of the present invention above.It should be appreciated that the present invention is not limited to
Detailed construction, set-up mode or implementation method described herein；On the contrary, it is intended to cover included in appended claims
Various modifications and equivalence setting in spirit and scope.
In addition, structure shown by this specification Figure of description, ratio, size etc., only to cooperate specification institute
Disclosure, for skilled in the art realises that be not limited to the enforceable qualifications of the disclosure with reading, therefore
Do not have technical essential meaning, the modification of any structure, the change of proportionate relationship or the adjustment of size are not influencing the disclosure
Under the technical effect and achieved purpose that can be generated, it should all still fall in technology contents disclosed in the disclosure and obtain and can cover
In the range of.Meanwhile cited such as "upper" in this specification, " first ", " second " and " one " term, be also only and be convenient for
Narration is illustrated, rather than to limit the enforceable range of the disclosure, relativeness is altered or modified, without substantive change
Under technology contents, when being also considered as the enforceable scope of the present invention.
Claims (10)
1. a kind of method for early warning based on day vacant lot integration data characterized by comprising
Obtain current day vacant lot integration data；
Extract the feature vector of the current day vacant lot integration data；
The current sky is obtained according to the feature vector of the current day vacant lot integration data and using machine learning model
The target criminal type of ground integration data；
The current day vacant lot integration data is obtained according to the history day vacant lot integration data in the target criminal type
Value-at-risk；
If the value-at-risk of the current day vacant lot integration data is more than risk threshold value, warning information is sent.
2. the method as described in claim 1, which is characterized in that further include:
Obtain history day vacant lot integration data；
History day vacant lot integration data and the current day vacant lot integration data are stored into block chain.
3. method according to claim 2, which is characterized in that further include:
Extract the feature vector of the history day vacant lot integration data in the block chain；
According to the feature vector of history day vacant lot integration data and utilize the machine learning model by the history day
Air-ground integrated data are divided into miscellaneous category of offenses type；
Wherein, the target criminal type belongs to one of described miscellaneous category of offenses type.
4. method as claimed in claim 3, which is characterized in that according to the history day vacant lot one in the target criminal type
Change the value-at-risk that data obtain the current day vacant lot integration data, comprising:
History day vacant lot integration data in the current day vacant lot integration data and the target criminal type is carried out
Matching obtains maximum matching degree；
The value-at-risk of the current day vacant lot integration data is calculated according to the maximum matching degree.
5. the method as described in claim 1, which is characterized in that the machine learning model is SVM model.
6. the method as described in claim 1, which is characterized in that history day vacant lot integration data and the current sky
Ground integration data includes satellite and aerial images data, public business division data, social data, any in network data
It is one or more kinds of.
7. the method as described in claim 1, which is characterized in that further include:
The history day vacant lot integration data of unstructured data and the current day vacant lot integration data are converted to
Structural data.
8. a kind of prior-warning device based on day vacant lot integration data characterized by comprising
Current data obtains module, is configured to obtain current day vacant lot integration data；
Current signature extraction module is configured to extract the feature vector of the current day vacant lot integration data；
Criminal type obtains module, is configured to the feature vector according to the current day vacant lot integration data and utilizes engineering
Practise the target criminal type that model obtains the current day vacant lot integration data；
Value-at-risk obtains module, is configured to according to the history day vacant lot integration data acquisition in the target criminal type
The value-at-risk of current day vacant lot integration data；
Warning information sending module, if the value-at-risk for being configured to the current day vacant lot integration data is more than risk threshold value,
Send warning information.
9. a kind of electronic equipment characterized by comprising
One or more processors；
Storage device, for storing one or more programs；
When one or more of programs are executed by one or more of processors, so that one or more of processors are real
The now method as described in any in claim 1-7.
10. a kind of computer-readable medium, is stored thereon with computer program, which is characterized in that described program is held by processor
The method as described in any in claim 1-7 is realized when row.
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| CN201811344091.5A CN109784525A (en) | 2018-11-13 | 2018-11-13 | Method for early warning and device based on day vacant lot integration data |
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| CN201811344091.5A CN109784525A (en) | 2018-11-13 | 2018-11-13 | Method for early warning and device based on day vacant lot integration data |
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