CN110020755A - City management system based on man-machine coordination - Google Patents
City management system based on man-machine coordination Download PDFInfo
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Abstract
The present invention discloses a kind of city management system based on man-machine coordination, including algoritic module of finding the problem, identification problem algoritic module, big data analysis algoritic module, generate files module and files assignment disposition module, the algoritic module of finding the problem, for predicting city management history case volume information combining environmental and social factor by urban issues of the big data analysis to generation, urban issues are formed according to prediction result.City management system based on man-machine coordination of the invention is the development trend for meeting city management demand, based on image recognition technology, it is served by city management business platform in conjunction with big data analysis, realization finds the problem, handling problems, solves the problems, such as whole process automatic closed loop service ability.And object good faith management system is managed by this Model Establishment, allow management object voluntarily to handle personal unlawful practice, due to being that can then discharge more manual workings by intelligentized management system.
Description
Technical field
The present invention relates to city management technical field more particularly to a kind of city management systems based on man-machine coordination.
Background technique
The major tasks of city management are responsible for urban operating mechanism, city appearance environment, in the street order, outdoor advertising, dregs, canine
Etc. all kinds of problems of things, component supervision and disposition.City management problem mainly pass through find the problem, handling problems, solution are asked
The closed loop process of topic is handled, and traditional mode is handled with engineered form, has currently begun through video identification
Technological means is found the problem automatically, but because recognition accuracy is not high, needs manually to verify the problem of each video identification,
So current is still that the form based on artificial carries out closed-loop process to city management problem.
There are many defect existing for current this form, including the following:
One, the means found the problem still based on artificial, can not promote working efficiency, be mainly manifested in:
1, video image identification is not according to the business scenario of city management problem (more classification, regional scope, dynamics)
The discriminance analysis refined causes accuracy rate not high, needs to examine the problem of manually finding each video identification
Core can not substitute artificial discovery problem.
2, image recognition service can only be based on video identification, lack the recognition capability of photo, it is complete to be unable to satisfy city management
The photo array service of process, can only be by manually verifying photo.
3, image recognition fails, by the crash analysis with files information data, to solve weight using other technologies or means
The treatment mechanism of the problems such as multiple files, wrong report, Lai Tisheng recognition accuracy.
4, for manually acquiring city management problem, often acquisition person voluntarily carries out inspection discovery city to be responsible for section
City's problem of management, arbitrariness is also big, is easy to ignore the generation of city management problem, leads to the delay of problem, is unable to get effective
Processing, lacks effective propulsioning means to reinforce the collecting efficiency of urban issues.
Two, handling problems can not automatic flow, management cost constantly increases, is mainly manifested in:
1, the disposal process of city management problem lacks management object resource library, can not identify the management pair of problem ownership
As not can be carried out automatic assignment.
2, the disposal process of problem all needs manually to carry out the information of files (type, place, description), files picture one by one
Verification processing needs to spend a large amount of artificial site disposals.
3, lack for the image intelligent comparative analysis before and after handling problems, cannot achieve winding up the case automatically for files, because
This needs manually to carry out audit processing.
Three, lack permanent mechanism to contain that urban issues occur repeatedly, be mainly manifested in:
The long-term management mechanism based on management object portrait is not formed, causes WeiZhao's Notes low, all kinds of cities are asked
Topic repeated, and lack the scheme of effecting a permanent cure, and thus bring the significant wastage of management resource.
In conclusion currently for find the problem, handling problems, the closed loop process solved the problems, such as, be still to use with people
Work is main process task, is on the one hand image recognition technology not using the identification of fining, recognition accuracy is not high, is unable to satisfy industry
Business demand；Second is that handling problems, which lack effective technological means, reduces artificial disposing task amount, third is that for solving the problems, such as not having
There is effective mechanism of control to prevent the generation again of problem from the root.It therefore is to need to lead to for the closed loop process of city management
Cross effective technological means and management method substitution it is artificial based on operating mode.
Summary of the invention
The shortcomings that present invention is directed in the prior art, provide a kind of city management system based on man-machine coordination.
In order to solve the above-mentioned technical problem, the present invention is addressed by following technical proposals:
A kind of city management system based on man-machine coordination, including algoritic module of finding the problem, identification problem algoritic module,
Big data analysis algoritic module generates files module and files assignment disposition module,
The algoritic module of finding the problem, for passing through city management history case volume information combining environmental and social factor
Big data analysis predicts the urban issues of generation, obtains prediction result, forms urban issues according to prediction result；
The identification problem algoritic module, for being identified to the urban issues of formation, if urban issues exist and have
Effect, then will identify that urban issues are sent to big data analysis algoritic module；
The big data analysis algoritic module, for identified urban issues carry out business and logic analysis with
Determine, judges whether urban issues repeat or effectively, obtain judging result；
The generation files module, for that will determine that result generates urban issues files；
The files assign disposition module, for the urban issues files of generation to be assigned and disposed.
As an embodiment, described to pass through city management history case volume information combining environmental and social factor greatly
The urban issues of generation are predicted in data analysis specifically: are analyzed by the various information of city management history files
Prediction, when and where predict can occur city management problem；
Wherein, the various information of city management history files includes the type of files, the corresponding longitude and latitude of files, case curly hair
Description, files pictorial information, the corresponding environment of files and the corresponding social factor of files of raw time, files.
As an embodiment, the identification problem algoritic module is known by calling image recognition service platform
Whether the urban issues not formed are effective, if urban issues are effective, generate urban issues warning information；
Wherein, image recognition service platform is that each road video source is docked by image recognition algorithm, image recognition fining
Service identification city management problem, or, the files pictorial information uploaded to city management personnel is effectively identified.
As an embodiment, described image recognizer includes more classification image recognitions, the knowledge of regional scope image
Other and dynamic characteristic image recognition；
Wherein, more classification image recognition can be based on a tableaux according to city management traffic criteria identification and defeated
A plurality of types of urban issues out；
The regional scope image recognition combination business scenario identify for various dimensions in specific region；
The dynamic characteristic image recognition has the urban issues of behavioral characteristics for illegal problem, and according to business rule
Carry out repeatedly identification comparative analysis.
As an embodiment, described that are carried out by business and logic analysis and is sentenced for identified urban issues
It is fixed, judge whether urban issues repeat or effectively, obtain judging result, specifically:
The files generated within the scope of the urban issues files currently generated and same day certain time are compared point
Analysis is judged to repeating files, terminates corresponding urban issues files if belonging to repetition files with the files generated, if
Repetition files are not belonging to then to circulate to historical data comparative analysis；
Problem files and history files are compared and analyzed, if consistent with history case volume information, increase phase Yingcheng City
The confidence level of problem files, and determine that it is effective files；If inconsistent, corresponding urban issues type is corrected.
As an embodiment, further include the urban issues files comparative analysis step of various dimensions, obtain other dimensions
The urban issues files comparative analysis of degree terminates phase as a result, if comparative analysis result belongs to the problem files in filter area
The files of Yingcheng City problem enter the generation files module if being unsatisfactory for condition.
As an embodiment, it includes files dispatch module and files disposition mould that the files, which assign disposition module,
Block；
The files dispatch module, the ownership of urban issues files manages object for identification, and by urban issues files
It is assigned to corresponding management object to be handled, and for the management object violating the regulations for generating multiple urban issues files, then will
Directly it is assigned at city management personnel；
The files dispose module, will pass through for configuring the urban issues files processing time if being more than the processing time
The correlated results that the files disposition module is disposed is further processed.
As an embodiment, the management object is businessman or car owner, according to Business Information or owner information life
Good faith management mechanism is established at management object resource library, and based on management object；
Wherein, the good faith management mechanism is to carry out record to the act of violating regulations of management object each time to put on record and set
Threshold value violating the regulations then reminds management object beyond threshold value violating the regulations for the first time and informs the consequence that can be generated beyond threshold value violating the regulations, subsequent
Act of violating regulations no longer carries out prompting informing, then forms notice of punishment list based on discretion or on-site law-enforcing personnel punish.
As an embodiment, further include that files verify algoritic module, the files are verified algoritic module and are used for:
The correlated results that the files disposition module is disposed is received, and is further processed, by the correlation of disposition
As a result it is compared and analyzed with the files image information of current time node and judges whether to have been handled, it will if processed
Urban issues files are wound up the case；If untreated, it is sent at city management personnel, and carries out in-situ processing；
The front and back image for handling urban issues files to city management personnel on site compares, and confirms urban issues files
Whether it has been disposed, if being disposed, has wound up the case.
As an embodiment, the algoritic module of finding the problem, identification problem algoritic module, big data analysis are calculated
Method module and files, which verify algoritic module, can be carried out constantly study and evolution.
The present invention is due to using above technical scheme, with significant technical effect:
City management system based on man-machine coordination of the invention is the development trend for meeting city management demand, based on figure
As identification technology, be served by city management business platform in conjunction with big data analysis, realization finds the problem, handling problems,
Solve the problems, such as whole process automatic closed loop service ability.And object good faith management system is managed by this Model Establishment, allow management
Object voluntarily handles personal unlawful practice, due to being that can then discharge more manual workings by intelligentized management system.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention without any creative labor, may be used also for those of ordinary skill in the art
To obtain other drawings based on these drawings.
Fig. 1 is overall structure diagram of the invention.
Specific embodiment
The present invention will be further described in detail below with reference to the embodiments, following embodiment be explanation of the invention and
The invention is not limited to following embodiments.
The present invention is using existing city management as background, and in the prior art, the major tasks of city management are responsible for
The supervision and disposition of urban operating mechanism, city appearance environment, the in the street things such as order, outdoor advertising, dregs, canine, all kinds of problems of component.City
City's problem of management mainly pass through find the problem, handling problems, the closed loop process solved the problems, such as are handled, traditional mode is all
It is to be handled with engineered form, has currently begun through video identification technology means and found the problem automatically, but is accurate because identifying
Rate is not high, needs manually to verify the problem of each video identification, so being still the form pair based on artificial at present
City management problem carries out closed-loop process.Referring to following table,
1 year main thing of certain prefecture-level city, the files amount of component have the city management problem of more than 720,000 parts.
Table 1: districts and cities 1 year main thing, the files quantity of component
It is very more to can be seen that annual city management problem to be treated by the above files data statistics, and with
The artificial input cost of the promotion of city management fining, required investment will be bigger.Therefore automatic processing ability substitutes people
Work finds the problem, handling problems, solves the problems, such as that closed loop process is the inexorable trend of development in the future, realizes the processing stream of automation
Journey could embody the Effect on construction of smart city management.
The present invention is exactly to establish a kind of city management system based on man-machine coordination, can substitute and manually find the problem
It solves the problems, such as.
Embodiment 1:
A kind of city management system based on man-machine coordination includes find the problem algoritic module 100, identification problem algorithm mould
Block 200, big data analysis algoritic module 300 generate files module 400 and files assignment disposition module 500,
The algoritic module 100 of finding the problem is used for city management history case volume information combining environmental and social factor
It is predicted by urban issues of the big data analysis to generation, obtains prediction result, urban issues are formed according to prediction result；
The identification problem algoritic module 200, for being identified to the urban issues of formation, if urban issues exist simultaneously
Effectively, then it will identify that urban issues are sent to big data analysis algoritic module；
The big data analysis algoritic module 300, for carrying out business and logic point to identified urban issues
Analysis and judgement, judge whether urban issues repeat or effectively, obtain judging result；
The generation files module 400, for that will determine that result generates urban issues files；
The files assign disposition module 500, for the urban issues files of generation to be assigned and disposed.
Whole system is to handling city management history case volume information for automation in fact, actually
The process flow of realization be to find the problem, identification problem, big data analysis, generate files, assign files, disposition files and
Verifying, which terminates files, realizes whole process automatic processing.
It is described by city management history case volume information combining environmental and social factor in algoritic module 100 of finding the problem
Predicted by urban issues of the big data analysis to generation specifically: by the various informations of city management history files into
Row analysis prediction, when and where predict can occur city management problem；Wherein, the various information packet of city management history files
Include type, the corresponding longitude and latitude of files, the time that files occur, the description of files, files pictorial information, files correspondence of files
Environment and the corresponding social factor of files.
It finds the problem in algoritic module 100, the channel for providing the urban issues of generation is generally automatic Prediction and artificial receipts
Collect two ways, automatic Prediction is by the various information of big data analysis city management history files, including files type, case
When roll up the factor analyses such as longitude and latitude, files time, files description, files pictorial information, combining environmental, society prediction,
Which city management problem where may occur, form urban issues discovery new channel.The problem of to all kinds of predictions
It is automatic to send acquisition instructions, it is initiated from trend image recognition service platform to video source spy if forecasting problem belongs in monitoring range
Fixed time, place carry out intelligentized identification to find city management problem；If forecasting problem is automatic in special area
Acquisition instructions are sent to city management personnel.For system in no generation acquisition instructions, then image recognition service platform is automatically right
The intelligent recognition city management problem of video source poll, without manually being operated.
And artificial canal is the discovery that urban issues are carried out according to the acquisition instructions that system is sent, and is generated and is predicted by system
The acquisition time and layout of roads of problem, guidance acquisition person at the appointed time adopt by orderly discovery city management problem, saving
Collect the working time, Upgrade Problem finds efficiency.
The identification problem algoritic module 200 is to identify the urban issues of formation by calling image recognition service platform
Whether effectively, if urban issues are effective, urban issues warning information is generated；Wherein, image recognition service platform is to pass through figure
As recognizer docks each road video source, image recognition fining service identification city management problem, or, to city management personnel
The files pictorial information of upload is effectively identified.Further, described image recognizer include more classification image recognitions,
Regional scope image recognition and dynamic characteristic image recognition；Wherein, more classification image recognitions can be based on a static picture
Face identifies and exports a plurality of types of urban issues according to city management traffic criteria；The regional scope image recognition combination industry
It is engaged in scene, identify for various dimensions in specific region；The dynamic characteristic image recognition has dynamic for illegal problem
The urban issues of state feature, and repeatedly identification comparative analysis is carried out according to business rule.
It is to dock each road video source by image recognition service platform to pass through knot essence in identification problem algoritic module 200
Refinement identification service identifies that city management problem identification there are problems that, generate warning information (include files type, longitude and latitude,
Image recognition result, the coordinate for identifying image etc.).The problem of reporting for the public and other sources passes through Platform of Image Recognition,
For the problem that reporting the picture of files to carry out validity identification, identifies and feed back type and the information embodied in picture (as disobeyed
Stop, then identify license plate number, shape, color etc., identify whether refuse bag or vomitus etc. if rubbish).
Image recognition refines service regulation: 1, need to be that hotel owner's object in front of the door and hotel owner manage along the street as gone out shop to manage
Range incidence relation；2, along the street in contrast rubbish or stream are not present in 1 to 2 meter to area logic-under normal circumstances in front of the door by hotel owner
Dynamic street pedlar；3, it after motor vehicle disorderly parks identification problem, needs to again identify that judgement (by license plate, shape, color by 3 minutes
Etc. dimensions compare and analyze), whether which, which still parks, does not sail out of；4, a tableaux is according to city management business mark
Standard identifies and exports a plurality of types of urban issues.
If Platform of Image Recognition can not be identified to the problem of finding, report, urban issues files are determined by human assistance
The correctness reported.
Business and logic analysis are carried out to identified urban issues in the big data analysis algoritic module 300
With judgement, judge whether urban issues repeat or effectively, obtain judging result, comprising the following steps:
S100, the files generated within the scope of the urban issues files currently generated and same day certain time are carried out pair
Than analysis, if belonging to repetition files with the files generated, it is judged to repeating files, terminates corresponding urban issues case
Volume, historical data comparative analysis is arrived in circulation if being not belonging to repeat files；
S200, problem files and history files are compared and analyzed, if consistent with history case volume information, is increased corresponding
The confidence level of urban issues files, and determine that it is effective files；If inconsistent, corresponding urban issues type is corrected.
It further include the urban issues files comparative analysis step of various dimensions in above step, the city for obtaining other dimensions is asked
Files comparative analysis is inscribed as a result, if comparative analysis result belongs to the problem files in filter area, terminates corresponding urban issues
Files, if being unsatisfactory for condition enter the generation files module.
Processing step in big data analysis algoritic module 300 is exactly for identified or artificial auxiliary in simple terms
The city management problem of confirmation is helped, then carries out corresponding business and logic decision by big data analysis:
1, the files generated within the scope of files and same day certain time currently are led to the problem of to compare and analyze, is led to
Cross files type, the files time, files longitude and latitude, image/picture recognition result information (such as Route for pedestrians disobey parking, include
License plate number, shape, color, logo etc.) determine whether to belong to repetition files with the files generated, if various information basic one
It causes, is then attributed to repeat files, ends automatically this problem files, historical data comparative analysis is arrived in circulation if inconsistent；
2, problem files are with history files by comparing and analyzing, the dimension of analysis have files type, files longitude and latitude,
The result information (identification types, coordinate identification, identification object, image sources etc.) of image/picture identification, if right by analysis
Than discovery is consistent with the case volume information that history actually occurs, then will be determined as significant problem, and be judged to asking in vain if inconsistent
Topic.
And the date comprision of various dimensions is to meet different zones, determining rule in all kinds of environment, time, identification types
The service mechanism of conditions such as then, and support the automatic processing ability of a variety of configurable services, as in non operation time to shop out
The identification alarm of operation is filtered, automatic to tie if big data analysis is the result is that belong to the problem files in filter area
This problem files of beam, downstream node processing is arrived in circulation if being unsatisfactory for condition.
Further, it includes that files dispatch module 510 and files dispose module that the files, which assign disposition module 500,
520；
The files dispatch module 510, the ownership of urban issues files manages object for identification, and by urban issues case
Volume is assigned to corresponding management object and is handled, and for the management object violating the regulations for generating multiple urban issues files, then
It will directly be assigned at city management personnel；
The files dispose module 520,, will if being more than the processing time for configuring the urban issues files processing time
It is further processed by the correlated results that files disposition module is disposed.
In files dispatch module 510, more specifically for be following procedure:
After generating files, files are assigned to automatically by corresponding management object by system and are handled, as Route for pedestrians is disobeyed
Stop, then it is logical according to the license plate number (image recognition services automatic identification license plate number) of vehicle by relevant channels (114, vehicle administration office etc.)
Know that car owner will disobey stop information and feed back to car owner it is required to move vehicle as early as possible；It is managed for going out shop, according to hotel owner's point information of identification
Hotel owner belonging to judging then directly notifies hotel owner (collecting the information such as responsible person, the business scope of each hotel owner of urban road in advance)；
If 2, can not assign automatically, assign corresponding disposal personnel progress in-situ processing by manually carrying out；
3, for management object repeatedly violating the regulations, system will directly be dispatched to city management personnel, to its it is live directly into
Row punishment increases its cost violating the regulations.Promote to constrain ego behavior, reduces the generation of violation phenomenon.
In addition, being that management object handles the violations of rules and regulations received, and locates in files disposition module 520
The reason time is that having time limits requirement, will then enter next automatic flow beyond the time (time is configurable)；It is also simultaneously
For the files for needing city management personnel to dispose, the disposition of files is carried out to scene, submits disposition as a result, simultaneously after the completion of disposition
Enter next automated process flow.
In the files dispatch module 510, the management object is businessman or car owner, is believed according to Business Information or car owner
Breath generates management object resource library, and establishes good faith management mechanism based on management object；Wherein, the good faith management mechanism is pair
The act of violating regulations of management object each time carries out record and puts on record and set threshold value violating the regulations, then reminds pipe beyond threshold value violating the regulations for the first time
It manages object and simultaneously informs that the consequence that can be generated beyond threshold value violating the regulations, subsequent act of violating regulations no longer carry out prompting informing, then based on certainly
Notice of punishment list is formed by discretion or on-site law-enforcing personnel punish.Good faith management mechanism is exactly to supervised entities (edge in fact
Street hotel owner responsible person, motor vehicle car owner etc.) a kind of mechanism that itself existing violations of rules and regulations is constrained is handled, it is able to record pipe
The act of violating regulations for managing object takes the punishment mechanism of discretion for management object repeatedly violating the regulations, increases cost violating the regulations,
Prevent the act of violating regulations of management object.
Whole system further includes that files verify algoritic module 600, and the files are verified algoritic module 600 and are used for:
The correlated results that the files disposition module 520 is disposed is received, and is further processed, by the phase of disposition
Pass result and the files image information of current time node compare and analyze and judge whether to have been handled, if processed
Urban issues files are wound up the case；If untreated, it is sent at city management personnel, and carries out in-situ processing；
The front and back image for handling urban issues files to city management personnel on site compares, and confirms urban issues files
Whether it has been disposed, if being disposed, has wound up the case.The algoritic module 100 of finding the problem, identification problem algorithm mould
Block 200, big data analysis algoritic module 300 and files, which verify algoritic module 600, can be carried out constantly study and evolution, by right
The study of the fining to each type objects, color, shape and feature is done step-by-step in the business scenario of urban issues, the subdivision of phenomenon,
To reach the continuous evolution formation algorithm group of algorithm, the recognition capability and accuracy of boosting algorithm, a such as slag-soil truck can be known
Not Chu license plate, logo, shape, color, external appearance characteristic etc., can be effectively convenient for slag-soil truck supervision and tracking and positioning, and combine big
Data constantly carry out crash analysis to all kinds of history files data, promote the timeliness of urban issues " 6th sense " predictive ability
With precision.
In addition, during entire processing, it is also necessary to which city management personnel carry out collaborative process, after processing that result is anti-
Files of feeding verify algoritic module 600, and the processing of this aspect is usually that whole system can not handle the just meeting of urban issues files
Auxiliary judgment and disposing task are carried out to system by city management personnel.
It is to carry out verification processing for disposition result that files, which verify algoritic module 600, specifically includes following several situations:
Situation 1: automatic identification after reaching the stipulated time by files of the system to management object handles, by transferring
Before video source is handled, is compared and analyzed with the image of current time node and be confirmed whether to have handled, if processed
Files are wound up the case automatically, if untreated, be assigned to city management personnel automatically and carried out site disposal.
Situation 2: for disposing the files completed by city management personnel on site, the photo that system is disposed result is known
Not, and front and back photo comparison can be supported to identify, whether confirmation files have been handled, and it is processed, it winds up the case automatically.
Situation 3: files or the disposal personnel disposition that can not be verified automatically for system are completed but are still identified untreated
(condition is configurable) then submits city management personnel, carries out human assistance and verifies judgement, whether confirmation files are completed, if completing
It then winds up the case, still feeds back to city management personnel if not completing and re-start site disposal.
System of the invention is able to achieve these following advantages:
One, with big data analysis predicted city problem, Upgrade Problem finds timeliness:
Big data analysis predicted city problem, be by the various information of city management history files, including files type,
What when files longitude and latitude, files time, files description, files pictorial information, the factor analyses such as combining environmental, society predict
Between, where will occur which city management problem, form urban issues and find new channel, effective look-ahead and and
Shi Faxian urban issues, and acquisition instructions are sent automatically to the problem of all kinds of predictions by big data analysis, if forecasting problem belongs to
Automatic calling video source in monitoring range acquires image, if forecasting problem in special area from trend city management personnel
Send acquisition tasks, automatic planning personnel acquires route and time to problem, personnel is made to avoid detours, save find the problem when
Between, the efficiency of Upgrade Problem discovery.
Two, the improvement and innovation found the problem:
1, recognition capability is refined, Upgrade Problem finds accuracy rate；
By furtheing investigate industry standard, in conjunction with actual business scenario, the image recognition of this patent has more classification, spy
Determine the fining identification service in region, dynamic, logicality.
More classification recognition capabilities: based on a tableaux according to city management traffic criteria, identification and output are more
Existing flowing street pedlar, exposure rubbish, pavement are disobeyed and are stopped in the urban issues of seed type, such as a picture, effectively promotion image
Recognition efficiency reduces repetitive operation and handles work.
Regional scope recognition capability: in conjunction with business scenario, the direction identified required for different regions is different,
Realize that the effect of specific region various dimensions identifies service ability.One scene areas, it should have along the street shop in front of the door region, shop with
Region, Route for pedestrians region, non-motor vehicle/motor vehicle region etc. between shop.Within the scope of shop along the street in front of the door 1 to 2 meter, substantially
There is no rubbish, flowing street pedlar's phenomenon, (otherwise hotel owner, which can voluntarily clear up, will affect hotel owner's business, flowing street pedlar blocks StoreFront influence
Business, hotel owner can voluntarily drive), therefore exposed rubbish, flowing street pedlar are then likely to be identification exception if it exists, can directly carry out
Identification filtering, reduces the rate of false alarm of image recognition.
Dynamic characteristic recognition capability: for the urban issues with behavioral characteristics, video source can repeatedly be known
Other comparative analysis, judges the validity of city management problem, promotes the accuracy of identification.As non-motor vehicle is disorderly parked, pavement
It disobeys and stops, two kinds of violations of rules and regulations have dynamic, it is therefore desirable to which after identifying such problem, (time can be made by oneself within 3 minutes for delay
Justice) after carry out identification decision again, the object information of image recognition compares (type, coordinate, shape, color etc.) twice,
Identification comparison unanimously then forms violation files, could effectively promote recognition correct rate with this, reduce wrong report.
The recognition capability of logic behaviour: in conjunction with city management traffic criteria, according to identification object and management object knot
The association analysis of conjunction realizes polytypic identification service ability, promotes the correctness of recognition result.Such as go out shop and manages violation phenomenon
(shop object must have with hotel owner's scope of operation and directly or indirectly contact out).The accurate of act of violating regulations can be effectively judged by this method
Property.
2, image recognition not only supports video image identification, is also equipped with the recognition capability to photograph image, effectively meets city
City manages the image of overall process, photo array service, reduces and manually works the picture examination of each link.
3, with image recognition and big data crash analysis technology, recognition accuracy is promoted.
Crash analysis is carried out to image recognition result and other approach files data using big data technology, passes through files class
Type, the files time, files longitude and latitude, files source, image/picture recognition result information (identification types, identification object, shape,
Color, coordinate etc.) have the filterings of repetition files, it reports the filter capacity of files by mistake, reduces artificial repetition audit and image and know
Other rate of false alarm.
By realizing the processing capacity of image recognition fining, effectively image recognition is being promoted just in conjunction with big data analysis technology
True rate, is reduced manually to the discovery of problem and inspection mechanism, according to the discovery means of automation and artificial treatment efficiency comparative (from
Time of the problem discovery to the practical files of generation), it can effectively save 73% time cost.
Three, it realizes handling problems automatic flow, reduces artificial disposing task amount:
Object resource library (hotel owner responsible person, motor vehicle car owner etc. along the street) is managed by establishing, by system, is identified in violation of rules and regulations
Notice is directly managed object, is voluntarily handled and fed back by it by the management object of files ownership, system, and it is existing to reduce law enfrocement official
Field disposition；
Whole system is according to management object handling device (must settle a dispute by the parties concerned themselves for 5 minutes), automatically to management object disposition
As a result video identification analysis is carried out, or management object submits the front and back photo comparison of disposition information, automatic verifying disposition is as a result, subtract
Few artificial verification mechanism.
Four, the good faith management mechanism for establishing management object, contains repeated for problem:
By establishing management object resource library, sincere examination patterns are formed, management object cost violating the regulations is increased, strengthens management
Object forms the consciousness of knowing the lawing and abide by them.It is described as follows:
1, establish management object resource library: by collect city management object resource, such as along the street hotel owner's information (responsible person,
Responsible person's identification card number, responsible person's phone, business scope, address, trade company's duty paragraph etc.), owner information (name, identification card number, connection
It is phone, license plate number, vehicle color, vehicle model etc.) form management library of object.
2, form sincere appraisal mechanism: the act of violating regulations of management object each time carries out record and puts on record, sets threshold value violating the regulations
Rule, the consequence for then reminding management object that can generate beyond threshold value (subsequent to break rules and regulations not punished directly in prompting).
3, increase management object to break rules and regulations cost: for beyond threshold value violating the regulations, then system is to management object each time violating the regulations
Behavior no longer carries out prompting informing, notice of punishment list or on-site law-enforcing personnel punishment is directly formed in conjunction with discretion, while can
The loyalty information of the object is committed to other departments, reduces or reduce special subsidy or welfare of the object etc., increases management
The cost violating the regulations of object.
By above administrative mechanism, the act of violating regulations of management object can be effectively reduced, is solved the problems, such as from the root
Occur again.
Five, the continuous study and evolution of algorithm, boosting algorithm identification and predictive ability are realized:
It is done step-by-step by the subdivision of business scenario, phenomenon to urban issues to each type objects, color, shape and feature
Fining study, to reach the continuous evolution formation algorithm group of algorithm, the recognition capability and accuracy of boosting algorithm, such as one
Slag-soil truck may recognize that license plate, logo, shape, color, external appearance characteristic etc., can effectively convenient for slag-soil truck supervise with track it is fixed
Position, and combine big data constantly to all kinds of history files data carry out crash analysis, promoted urban issues predictive ability when
Effect property and precision.
In addition, it should be noted that, the specific embodiments described in this specification, the shape of parts and components are named
Title etc. can be different.The equivalent or simple change that all structure, feature and principles described according to the invention patent design are done, is wrapped
It includes in the scope of protection of the patent of the present invention.Those skilled in the art can be to described specific implementation
Example is done various modifications or additions or is substituted in a similar manner, and without departing from structure of the invention or surmounts this
Range as defined in the claims, is within the scope of protection of the invention.
Claims (10)
1. a kind of city management system based on man-machine coordination, which is characterized in that including algoritic module of finding the problem, identification problem
Algoritic module, big data analysis algoritic module generate files module and files assignment disposition module,
The algoritic module of finding the problem, it is several greatly for passing through city management history case volume information combining environmental and social factor
The urban issues of generation are predicted according to analysis, obtain prediction result, urban issues are formed according to prediction result；
The identification problem algoritic module, for being identified to the urban issues of formation, if urban issues exist and it is effective,
It will identify that urban issues are sent to big data analysis algoritic module；
The big data analysis algoritic module, for identified urban issues to be carried out business and logic analysis and sentenced
It is fixed, judge whether urban issues repeat or effectively, obtain judging result；
The generation files module, for that will determine that result generates urban issues files；
The files assign disposition module, for the urban issues files of generation to be assigned and disposed.
2. the city management system according to claim 1 based on man-machine coordination, which is characterized in that described by city management
History case volume information combining environmental and social factor are predicted by urban issues of the big data analysis to generation specifically: logical
The various information for crossing city management history files carries out analysis prediction, and when and where predict can occur city management problem；
Wherein, the various information of city management history files includes that the type of files, the corresponding longitude and latitude of files, files occur
Time, the description of files, files pictorial information, the corresponding environment of files and the corresponding social factor of files.
3. the city management system according to claim 2 based on man-machine coordination, which is characterized in that the identification problem is calculated
Method module be by call image recognition service platform it is whether effective come the urban issues for identifying formation, if urban issues are effective,
Then generate urban issues warning information；
Wherein, image recognition service platform is that each road video source is docked by image recognition algorithm, image recognition fining service
City management problem is identified, or, the files pictorial information uploaded to city management personnel is effectively identified.
4. the city management system according to claim 3 based on man-machine coordination, which is characterized in that described image identification is calculated
Method includes more classification image recognitions, regional scope image recognition and dynamic characteristic image recognition；
Wherein, more classification image recognitions can be identified and be exported more according to city management traffic criteria based on a tableaux
The urban issues of seed type；
The regional scope image recognition combination business scenario identify for various dimensions in specific region；
The dynamic characteristic image recognition has the urban issues of behavioral characteristics for illegal problem, and is carried out according to business rule
Repeatedly identification comparative analysis.
5. the city management system according to claim 4 based on man-machine coordination, which is characterized in that described to being known
Other urban issues carry out business and logic analysis and determine, judge whether urban issues repeat or effectively, obtain judgement knot
Fruit, specifically:
The files generated within the scope of the urban issues files currently generated and same day certain time are compared and analyzed, if
Belong to repetition files with the files generated, is then judged to repeating files, terminates corresponding urban issues files, if being not belonging to
Files are repeated then to circulate to historical data comparative analysis；
Problem files and history files are compared and analyzed, if consistent with history case volume information, increase corresponding urban issues
The confidence level of files, and determine that it is effective files；If inconsistent, corresponding urban issues type is corrected.
6. the city management system according to claim 5 based on man-machine coordination, which is characterized in that further include various dimensions
Urban issues files comparative analysis step obtains the urban issues files comparative analysis of other dimensions as a result, if comparative analysis knot
Fruit belongs to the problem files in filter area, then terminates the files of corresponding urban issues, and the life is entered if being unsatisfactory for condition
At files module.
7. the city management system according to claim 1 based on man-machine coordination, which is characterized in that at the files assignment
Setting module includes files dispatch module and files disposition module；
The files dispatch module, the ownership of urban issues files manages object for identification, and urban issues files are assigned
It is handled to corresponding management object, and for the management object violating the regulations for generating multiple urban issues files, then it will be direct
It is assigned at city management personnel；
The files dispose module,, will be by described if being more than the processing time for configuring the urban issues files processing time
The correlated results that files disposition module is disposed is further processed.
8. the city management system according to claim 7 based on man-machine coordination, which is characterized in that the management object is
Businessman or car owner generate management object resource library according to Business Information or owner information, and establish sincere pipe based on management object
Reason mechanism；
Wherein, the good faith management mechanism is to carry out record to the act of violating regulations of management object each time to put on record and set violating the regulations
Threshold value then reminds management object beyond threshold value violating the regulations for the first time and informs the consequence that can be generated beyond threshold value violating the regulations, subsequent violating the regulations
Behavior no longer carries out prompting informing, then forms notice of punishment list based on discretion or on-site law-enforcing personnel punish.
9. the city management system according to claim 7 based on man-machine coordination, which is characterized in that further include that files are verified
Algoritic module, the files are verified algoritic module and are used for:
The correlated results that the files disposition module is disposed is received, and is further processed, by the correlated results of disposition
It is compared and analyzed with the files image information of current time node and judges whether to have been handled, by city if processed
Problem files are wound up the case；If untreated, it is sent at city management personnel, and carries out in-situ processing；
The front and back image for handling urban issues files to city management personnel on site compares, and whether confirmation urban issues files
It has been be disposed that, if being disposed, wound up the case.
10. the city management system according to claim 1 based on man-machine coordination, which is characterized in that described to find the problem
Algoritic module, identification problem algoritic module, big data analysis algoritic module and files verify algoritic module and can be carried out continuous study
And evolution.
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