CN109672751A - A kind of wisdom population statistical method and system based on edge calculations - Google Patents
A kind of wisdom population statistical method and system based on edge calculations Download PDFInfo
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- CN109672751A CN109672751A CN201910036906.1A CN201910036906A CN109672751A CN 109672751 A CN109672751 A CN 109672751A CN 201910036906 A CN201910036906 A CN 201910036906A CN 109672751 A CN109672751 A CN 109672751A
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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Abstract
The embodiment of the present application provides a kind of demographic method and system of the wisdom based on edge calculations.This method comprises: constructing edge calculations network according to population characteristic and Edge Server geographical location;The edge calculations network includes: edge sensor, Edge Server, calculating center;Edge sensor acquires population information, updates the Edge Server locally store information;Each Edge Server receives the update notification of the sending of neighbours' Edge Server near its own, and updates storage information;It is locally for statistical analysis in each Edge Server, statistic analysis result is sent back into calculating center;The instruction and data for receiving the calculating center carries out data exchange and Cooperative Analysis with designated edge server.A kind of demographic method and system of wisdom based on edge calculations of the embodiment of the present application improves the efficiency of transmission of consensus data, accelerates demographic calculating speed by combining demographics method and edge calculations feature.
Description
Technical field
This application involves edge calculations and demographics field more particularly to a kind of wisdom population systems based on edge calculations
Count method and system.
Background technique
Edge calculations refer in the side close to object or data source header, using network, calculating, storage, application core ability
The open platform being integrated provides service recently nearby.Edge calculations are by giving network edge device certain computing capability
And storage capacity, " intelligent terminal-Edge Server-cloud data center " three-tier system structure is formed, is mentioned at the edge of network
For communication and IT service, storage and computing resource, postpone and more effectively utilize mobile network to reduce the processing of application.It passes
It in wisdom population statistic processes of uniting, is generally acquired using client, the mode of server end collect statistics carries out, and client does not have
Standby computing capability, all data are both needed to send back to server end operation for statistical analysis, can not be cooperateed between client
Work, all data, Resource allocation and smoothing are both needed to carry out in server end, waste local computing resource in this way, have aggravated service
The calculating pressure of device, and there are a large amount of communication delays, have seriously affected demographic efficiency.Therefore, it may be considered that base
Wisdom population assignment statistics are carried out in edge calculations technology.
Summary of the invention
In view of this, the purpose of the application is to propose a kind of wisdom population statistical method based on edge calculations and is
System reduces the processing delay of demographics task, and during solving current demographics, server data storage updates low efficiency
The technical issues of.
Based on above-mentioned purpose, the wisdom population statistical method based on edge calculations that present applicant proposes a kind of, comprising:
Edge calculations network is constructed according to population characteristic and Edge Server geographical location;The edge calculations network packet
Include: edge sensor, calculates center at Edge Server;
Edge sensor acquires population information, updates the Edge Server locally store information;
Each Edge Server receives the update notification of the sending of neighbours' Edge Server near its own, and updates storage
Information;
It is locally for statistical analysis in each Edge Server, statistic analysis result is sent back into calculating center;
The instruction and data for receiving the calculating center carries out data exchange and Cooperative Analysis with designated edge server.
In some embodiments, edge calculations net is constructed according to population characteristic and Edge Server geographical location described
Network, the method, further includes:
Community Population feature where this Edge Server and geographical location are sent to calculating center by the Edge Server.
The population characteristic and geographical location that the calculating center is sent according to the Edge Server inquire and calculate,
Obtained neighbours' server set is returned into the Edge Server;
Neighbours' server set that the Edge Server is returned according to the center of calculating updates local neighbor list,
And connection request is established in the Edge Server initiation into neighbours' server set;
After neighbours' server receives connection request, judge whether to need to establish connection: if desired establishing connection, then with
The Edge Server establishes connection, and sends to the calculating center and establish connection result;If not needing to establish connection, to
The Edge Server transmission refuses to respond, and sends to the calculating center and establish connection result;
The calculating center updates edge network network topology storage information.
In some embodiments, each edge sensor acquires population information, and it is local to update the Edge Server
Storage information specifically includes:
According to Edge Server and/or center analysis statistical demand is calculated, is carried out by edge sensor one or many
The acquisition of reaction type population information.
In some embodiments, neighbours' server receives the update notification that the Edge Server issues, and updates
Store information, comprising:
Based on Edge Server access frequency and demographic data scale, the calculating side of the more new range of neighbours' server
Formula is as follows:
Spreadi=α ∑nFij+(1-α)∑nMij
Wherein, SpreadiFor the data more new range index of the Edge Server i, α is weighting coefficient, FijIt is described
The visiting frequency of jth block demographic data block, M in Edge Server iijFor jth block demographic data block in the Edge Server i
Size, n are the data block total number of the Edge Server i.
In some embodiments, described locally for statistical analysis in the Edge Server, and by statistic analysis result
Send back to calculating center, comprising:
The statistical analysis lives analysis including population structure analysis, population thermodynamic analysis, population duty, population migrates analysis,
Population trip analysis, economics of population analysis, real-time stream of people analysis, real-time stream of people detection;
When the Edge Server is for statistical analysis, if local computing resource or shortage of data, taken to neighbours
Business device initiates to assist request, and calling resource or data continue to statistically analyze.
In some embodiments, the instruction and data for receiving the calculating center, carries out with designated edge server
Data exchange and Cooperative Analysis, further includes:
The center instruction that calculates includes control command and the specified Edge Server for participating in data exchange and Cooperative Analysis
Set;
Edge Server in the Edge Server set for participating in data exchange and Cooperative Analysis is according to demographics
Analysis efficiency sends computing resource adjustment request to the center of calculating.
Based on above-mentioned purpose, the application also proposed a kind of wisdom population statistical system based on edge calculations, comprising:
Module is established, for constructing edge calculations network according to population characteristic and Edge Server geographical location;
Update module updates Edge Server locally store information for acquiring population information by edge sensor;
Communication module updates neighbours' server storage information for notifying neighbours' server;
Statistic analysis result for locally for statistical analysis in Edge Server, and is sent back to meter by local computing module
Calculation center;
Cooperated computing module, calculates center instruction and data for receiving, and carries out data exchange with designated edge server
And Cooperative Analysis.
In some embodiments, the update module, further includes:
Demographic data is converted to criterion numeral for demographic data to be normalized by demographic data cleaning unit
According to;
Demographic data synchronization unit, the information for same population to be located at different Edge Servers converge.
In some embodiments, the communication module, further includes:
Edge Server-calculating central communication unit, for instruction and data between Edge Server and calculating center
Communication;
Edge Server-Edge Server communication unit, the edge calculations network for being formed according to demographics task
In, the communication of instruction and data between each Edge Server.
In some embodiments, the cooperated computing module, further includes:
Task scheduling unit, for controlling task distribution, the resource allocation of Edge Server;
Efficiency monitoring unit for supervising Edge Server statistical analysis efficiency, and sends to task scheduling unit and supervises
As a result;
Collection unit is counted, for summarizing the demographics of each Edge Server as a result, and responding each Edge Server
Consensus data's request.
Detailed description of the invention
In the accompanying drawings, unless specified otherwise herein, otherwise indicate the same or similar through the identical appended drawing reference of multiple attached drawings
Component or element.What these attached drawings were not necessarily to scale.It should be understood that these attached drawings depict only according to the present invention
Disclosed some embodiments, and should not serve to limit the scope of the present invention.
Fig. 1 shows the flow chart of the wisdom population statistical method according to an embodiment of the present invention based on edge calculations.
The composition figure for the wisdom population statistical system based on edge calculations that Fig. 2 shows according to an embodiment of the present invention.
Fig. 3 shows the composition figure of the wisdom population statistical system according to an embodiment of the present invention based on edge calculations.
Fig. 4 shows the network topology signal of the wisdom population statistical system according to an embodiment of the present invention based on edge calculations
Figure.
Specific embodiment
The application is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is only used for explaining related invention, rather than the restriction to the invention.It also should be noted that in order to just
Part relevant to related invention is illustrated only in description, attached drawing.
It should be noted that in the absence of conflict, the features in the embodiments and the embodiments of the present application can phase
Mutually combination.The application is described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
Fig. 1 shows the flow chart of the wisdom population statistical method according to an embodiment of the present invention based on edge calculations.Such as Fig. 1
Shown, being somebody's turn to do the wisdom population statistical method based on edge calculations includes:
Step S11, edge calculations network is constructed according to population characteristic and Edge Server geographical location;
Before carrying out demographic analysis's operation, need according to the geographic area of demographics operation, the ascribed characteristics of population, side
Edge server distribution feature etc. specifies the Edge Server for participating in statistical analysis operation, constructs edge calculations network.
For example, when regional population's feature is complex, the computing resource for needing to expend is more, constructs edge
When calculating network, it will be considered that distribute to the more computing resources in the region.Meanwhile when constructing edge calculations network, also nationwide examination for graduation qualification
Consider intricately demographic data to synchronize more parts of duplication on neighbours' server, frequent when on the one hand can prevent multizone from counting
On the other hand data transmission can be used as data backup, be against any misfortune generation.
When constructing edge calculations network, the configuration of Edge Server may be asynchronous with population distribution ratio, for example, population
The more complicated edges of regions server configuration of situation is less, and the simple region of population situation is assigned with excessive edge clothes
Business device, in this way when carrying out demographic analysis's operation in the later period, it is possible to because the imbalance of Edge Server distribution causes to unite
Meter analysis operating efficiency is low.To solve this problem, when building calculates network, different zones demographic data should be comprehensively considered
Situation and statistical analysis complexity can be by the areas adjacents when the more complicated region of population situation lacks Edge Server
Neighbours' server be divided into edge calculations network, make full use of the computing resource and storage resource of neighbours' server.
Step S12, edge sensor acquires population information, updates the Edge Server locally store information;
Specifically, edge sensor from all directions, multi-angle collect population information.According to the demographic need of wisdom
It asks, it also includes side that edge sensor, which includes camera, satellite, mobile terminal, camera, monitoring device, GIS-Geographic Information System etc.,
Population-based data on edge server.Edge sensor will directly update coupled after collecting new demographic data
Edge Server in storage information.
Edge sensor acquisition data include: geographic position data, personnel identity data, communication data, Internet data,
Consumption data, terminal data etc..
Step S13, each Edge Server receives the update notification of the sending of neighbours' Edge Server near its own, and
Update storage information
Specifically, when an Edge Server receives the collected demographic data of edge sensor, and local has been updated
After storing information, its neighbours' server list will be searched, neighbours' server update of attenuation type is carried out by hop count.For example, edge
Server notifies the neighbours' server update for being 1 away from its hop count to store information first, since these neighbours' servers are nearest,
The data that Edge Server this time updates will be replicated on these neighbours' servers and be updated by 100%;Then, away from its hop count
For 2 neighbours' server, 50% new data will be replicated and updated;And so on, constantly decaying, sets a threshold value 5%, when
When the data volume of the update is 5% or less threshold value, neighbours' server will no longer replicate and more new data.
Step S14, locally for statistical analysis in each Edge Server, statistic analysis result is sent back in calculating
The heart;
Specifically, for some conventional demographics tasks, Edge Server is regularly locally carrying out statistical
Analysis calculates, and after obtaining statistic analysis result, sends back to calculating center, carries out further macroscopical wisdom demographics for calculating center
Analysis.
Step S15, the instruction and data for receiving the calculating center carries out data exchange and association with designated edge server
With analysis.
Specifically, for some trans-regional or large-scale wisdom demographic analysis's task, calculating center will be specified
The Edge Server of statistical analysis is participated in, Distributed Parallel Computing is carried out, to improve demographic analysis's efficiency.
In one embodiment, step S11 includes:
Edge Server, can be by Community Population feature where this Edge Server and geography when edge calculations network is added
Position is sent to calculating center;
The population characteristic and geographical location that calculating center is sent according to these Edge Servers inquire and calculate, will
To neighbours' server set return to Edge Server, can be according to statistical after Edge Server has grasped these data
The demand of analysis requests demographic data and computing resource from suitable neighbours' server.
Neighbours' server set that Edge Server is returned according to the center of calculating, the local neighbor list of update, and to
Connection request is established in Edge Server initiation in neighbours' server set;
After neighbours' server receives connection request, judge whether to need to establish connection: if desired establishing connection, then with it is described
Edge Server establishes connection, and sends to the calculating center and establish connection result;If not needing to establish connection, Xiang Suoshu
Edge Server transmission refuses to respond, and sends to the calculating center and establish connection result;
Finally, the center of calculating updates edge network network topology storage information.
In one embodiment, step S12 includes:
According to Edge Server and/or center analysis statistical demand is calculated, is carried out by edge sensor one or many
The acquisition of reaction type population information.
Specifically, the case where Edge Server is during carrying out demographic analysis, can be potentially encountered missing data,
At this point, Edge Server will send population data harvesting request to edge sensor, it is laggard that edge sensor receives acquisition request
The acquisition of row demographic data, and the data of acquisition are sent back into Edge Server;Edge Server continues population after new data are added
Statistical analysis, may generate new demographic data demand, Edge Server will be sent to edge sensor at this time on this basis
Feedback request, edge sensor acquire demographic data again according to feedback request after receiving feedback request, and so on, until
Demographic analysis's operation of Edge Server is completed.
In one embodiment, step S13 includes:
Based on Edge Server access frequency and demographic data scale, the calculation of the more new range of neighbours' server is such as
Under:
Spreadi=α ∑nFij+(1-α)∑nMij
Wherein, SpreadiFor the data more new range index of the Edge Server i, α is weighting coefficient, FijIt is described
The visiting frequency of jth block demographic data block, M in Edge Server iijFor jth block demographic data block in the Edge Server i
Size, n are the data block total number of the Edge Server i.
From formula as can be seen that the access frequency and demographic data of the more new range of neighbours' server and Edge Server are advised
Mould is related, and Edge Server access frequency is higher, illustrates that the demographic data in the Edge Server will during statistical analysis
Be frequently used, for avoid statistical analysis during data communication time delay, should in advance by the data on the Edge Server into
Row diffusion.In addition, when the demographic data block on Edge Server is excessive, during statistical analysis will frequent progress data reading
Take, this will also cause unnecessary time delay, therefore, it is necessary in advance by the data in the excessive Edge Server of data scale into
Row diffusion.
In one embodiment, step S14 includes:
Statistical analysis based on edge calculations includes population structure analysis, population thermodynamic analysis, population duty firmly analysis, population
Migrate analysis, population trip analysis, economics of population analysis, real-time stream of people analysis, real-time stream of people detection.
The occupation of population structure analysis statistics population, resident population's quantity, total population gender ratio and all ages and classes
Segment number ratio etc..
Population thermodynamic analysis counts each regional population's heating power distribution, and statisticallys analyze population trends.
Population duty, which lives to analyze, divides network for target area, analyzes working population, resident population's distributed number.
Population migrate analysis analyzed area in and it is trans-regional between the stream of people move migratory motion state, floating population's whereabouts and source.
Population trip analysis obtains trip mode trip system by dealing population trip mode and frequency analysis between region
Count result.
Economics of population analyzes analyzed area economic circle gross density of population and variation tendency, in conjunction with population geography location information
Data count its attributive character and distribution.
The real-time stream of people analyzes the basic information distribution for realizing the real-time size of population and population, including gender, the age, resident
The situations of change such as distribution are lived in ground, duty.
The real-time stream of people tests and analyzes key area crowd source and whereabouts, and counting specified crowd, at the appointed time range is referring to
Determine the distribution in region.
When Edge Server is for statistical analysis, if local computing resource or shortage of data, to neighbours' server
It initiates to assist request, calling resource or data continue to statistically analyze.A request hop count threshold value is set, if neighbours' server is still
When so lacking requested data or resource, neighbours' server will send to neighbours' server of neighbours' server and assist to ask
It asks, such recurrence, until obtaining the request data or resource needed;When recurrence is more than request hop count threshold value, the last one is adjacent
The Edge Server that can not assist to reply to initial transmission assistance request will be returned to by occupying server.
In one embodiment, step S15 includes:
Calculating center instruction includes control command and the specified Edge Server set for participating in data exchange and Cooperative Analysis.
Control command, which is used to inform, participates in wisdom demographic analysis's type that the Edge Server of operation should carry out.
The Edge Server in data exchange and the Edge Server set of Cooperative Analysis is participated according to demographic analysis
Efficiency sends computing resource adjustment request to the center of calculating.Edge Server is during Cooperative Analysis, if it find that itself is counted
When calculating pressure increase, occurring calculating mistake, calculating center will be requested to edge to the center of calculating transmission computing resource adjustment request
The calculating task and resource calculated in network is adjusted.
The composition figure for the wisdom population statistical system based on edge calculations that Fig. 2 shows according to an embodiment of the present invention.Such as Fig. 2
Shown, being somebody's turn to do the wisdom population statistical system based on edge calculations can integrally be divided into:
Module 21 is established, for constructing edge calculations network according to population characteristic and Edge Server geographical location;
Update module 22 updates Edge Server locally store information for acquiring population information by edge sensor;
Communication module 23 updates neighbours' server storage information for notifying neighbours' server;
Local computing module 24 for locally for statistical analysis in Edge Server, and statistic analysis result is sent back to
Calculating center;
Cooperated computing module 25, calculates center instruction and data for receiving, and carries out data friendship with designated edge server
It changes and Cooperative Analysis.
Fig. 3 shows the composition figure of the wisdom population statistical system according to an embodiment of the present invention based on edge calculations.
Further, update module 22, comprising:
Demographic data is converted to standard for demographic data to be normalized by demographic data cleaning unit 221
Data;
Demographic data synchronization unit 222, the information for same population to be located at different Edge Servers converge.
Communication module 23, comprising:
Edge Server-calculating central communication unit 231, for instructing sum number between Edge Server and calculating center
According to communication;
Edge Server-Edge Server communication unit 232, the edge calculations for being formed according to demographics task
In network, the communication of instruction and data between each Edge Server.
Cooperated computing module 25, comprising:
Task scheduling unit 251, for controlling task distribution, the resource allocation of Edge Server;
Efficiency monitoring unit 252 for supervising Edge Server statistical analysis efficiency, and sends to task scheduling unit and supervises
Superintend and direct result;
Collection unit 253 is counted, for summarizing the demographics of each Edge Server as a result, and responding each Edge Server
Consensus data request.
Fig. 4 shows the network topology signal of the wisdom population statistical system according to an embodiment of the present invention based on edge calculations
Figure.
It can be seen that edge calculations network from the topological schematic diagram of Fig. 4 to refer to by intelligent terminal, Edge Server and calculating
Three layers of computing system that center is constituted, what Edge Server referred to accesses for intelligent terminal, and has and calculate, storage, network function
The equipment such as base station, gateway, service node, router, interchanger.Calculating center passes through network access device and edge calculations net
1~n of network is connected, and each edge calculations network includes edge sensor and Edge Server, and edge sensor includes camera, defends
Star, monitor, mobile terminal, camera, sound pick-up outfit etc..Network access device is that the communication line in network is connected
Various equipment general name, these equipment include repeater, hub, interchanger and router etc..The management at calculating center takes
Business device is responsible for collecting and manages Edge Server information, and each Edge Server demographic analysis task disposition is monitored.?
In edge calculations network, Edge Server is connected by high speed network, and the data sensitive type for being responsible for processing intelligent terminal migration is appointed
Business, and return to calculated result.In addition, all population data files are divided into several data blocks, data block can be according to people
Mouthful statistical analysis Demand Design be it is equal big or not equal big, in order to distributed storage, raising demographic analysis's efficiency.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example
Point is included at least one embodiment or example of the invention.Moreover, particular features, structures, materials, or characteristics described
It may be combined in any suitable manner in any one or more of the embodiments or examples.In addition, without conflicting with each other, this
The technical staff in field can be by the spy of different embodiments or examples described in this specification and different embodiments or examples
Sign is combined.
Any process described otherwise above or method description are construed as in flow chart or herein, and expression includes
It is one or more for realizing specific logical function or process the step of executable instruction code module, segment or portion
Point, and the range of the preferred embodiment of the present invention includes other realization, wherein can not press shown or discussed suitable
Sequence, including according to related function by it is basic simultaneously in the way of or in the opposite order, Lai Zhihang function, this should be of the invention
Embodiment person of ordinary skill in the field understood.
Expression or logic and/or step described otherwise above herein in flow charts, for example, being considered use
In the order list for the executable instruction for realizing logic function, may be embodied in any computer-readable medium, for
Instruction execution system, device or equipment (such as computer based system, including the system of processor or other can be held from instruction
The instruction fetch of row system, device or equipment and the system executed instruction) it uses, or combine these instruction execution systems, device or set
It is standby and use.For the purpose of this specification, " computer-readable medium ", which can be, any may include, stores, communicates, propagates or pass
Defeated program is for instruction execution system, device or equipment or the dress used in conjunction with these instruction execution systems, device or equipment
It sets.The more specific example (non-exhaustive list) of computer-readable medium include the following: there is the electricity of one or more wirings
Interconnecting piece (electronic device), portable computer diskette box (magnetic device), random access memory (RAM), read-only memory
(ROM), erasable edit read-only storage (EPROM or flash memory), fiber device and portable read-only memory
(CDROM).In addition, computer-readable medium can even is that the paper that can print described program on it or other suitable Jie
Matter, because can then be edited, be interpreted or when necessary with other for example by carrying out optical scanner to paper or other media
Suitable method is handled electronically to obtain described program, is then stored in computer storage.
It should be appreciated that each section of the invention can be realized with hardware, software, firmware or their combination.Above-mentioned
In embodiment, software that multiple steps or method can be executed in memory and by suitable instruction execution system with storage
Or firmware is realized.It, and in another embodiment, can be under well known in the art for example, if realized with hardware
Any one of column technology or their combination are realized: having a logic gates for realizing logic function to data-signal
Discrete logic, with suitable combinational logic gate circuit specific integrated circuit, programmable gate array (PGA), scene
Programmable gate array (FPGA) etc..
Those skilled in the art are understood that realize all or part of step that above-described embodiment method carries
It suddenly is that relevant hardware can be instructed to complete by program, the program can store in a kind of computer-readable storage medium
In matter, which when being executed, includes the steps that one or a combination set of embodiment of the method.
It, can also be in addition, each functional unit in each embodiment of the present invention can integrate in a processing module
It is that each unit physically exists alone, can also be integrated in two or more units in a module.Above-mentioned integrated mould
Block both can take the form of hardware realization, can also be realized in the form of software function module.The integrated module is such as
Fruit is realized and when sold or used as an independent product in the form of software function module, also can store in a computer
In readable storage medium storing program for executing.The storage medium can be read-only memory, disk or CD etc..
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can readily occur in its various change or replacement,
These should be covered by the protection scope of the present invention.Therefore, protection scope of the present invention should be with the guarantor of the claim
It protects subject to range.
Claims (10)
1. a kind of wisdom population statistical method based on edge calculations characterized by comprising
Edge calculations network is constructed according to population characteristic and Edge Server geographical location;The edge calculations network includes: side
Edge sensor, calculates center at Edge Server;
Edge sensor acquires population information, updates the Edge Server locally store information;
Each Edge Server receives the update notification of the sending of neighbours' Edge Server near its own, and updates storage letter
Breath;
It is locally for statistical analysis in each Edge Server, statistic analysis result is sent back into calculating center;
The instruction and data for receiving the calculating center carries out data exchange and Cooperative Analysis with designated edge server.
2. the method according to claim 1, wherein described according to population characteristic and Edge Server geographical location
Construct edge calculations network, comprising:
Community Population feature where this Edge Server and geographical location are sent to calculating center by the Edge Server;
The population characteristic and geographical location that the calculating center is sent according to the Edge Server inquire and calculate, will
To neighbours' server set return to the Edge Server;
Neighbours' server set that the Edge Server is returned according to the center of calculating, the local neighbor list of update, and to
Connection request is established in Edge Server initiation in neighbours' server set;
After neighbours' server receives connection request, judge whether to need to establish connection: if desired establishing connection, then with it is described
Edge Server establishes connection, and sends to the calculating center and establish connection result;If not needing to establish connection, Xiang Suoshu
Edge Server transmission refuses to respond, and sends to the calculating center and establish connection result;
The calculating center updates edge network network topology storage information.
3. the method according to claim 1, wherein the edge sensor acquires population information, described in update
Edge Server locally store information, comprising:
According to Edge Server and/or center analysis statistical demand is calculated, one or many feedbacks are carried out by edge sensor
The acquisition of formula population information.
4. the method according to claim 1, wherein each Edge Server receives the neighbour near its own
The update notification of Edge Server sending is occupied, and updates storage information, comprising:
Based on Edge Server access frequency and demographic data scale, the calculation of the more new range of neighbours' server is such as
Under:
Spreadi=α ∑nFij+(1-α)∑nMij
Wherein, SpreadiFor the data more new range index of the Edge Server i, α is weighting coefficient, FijFor the edge
The visiting frequency of jth block demographic data block, M in server iijFor in the Edge Server i jth block demographic data block it is big
Small, n is the data block total number of the Edge Server i.
5. the method according to claim 1, wherein described locally counted in each Edge Server
Analysis, sends back to calculating center for statistic analysis result, comprising:
The statistical analysis includes population structure analysis, population thermodynamic analysis, population duty lives to analyze, population migrates analysis, population
Trip analysis, economics of population analysis, real-time stream of people analysis, real-time stream of people detection;
When the Edge Server is for statistical analysis, if local computing resource or shortage of data, to neighbours' server
It initiates to assist request, calling resource or data continue to statistically analyze.
6. the method according to claim 1, wherein the instruction and data for receiving the calculating center, with
Designated edge server carries out data exchange and Cooperative Analysis, comprising:
The center instruction that calculates includes control command and the specified Edge Server set for participating in data exchange and Cooperative Analysis;
Edge Server in the Edge Server set for participating in data exchange and Cooperative Analysis is according to demographic analysis
Efficiency sends computing resource adjustment request to the center of calculating.
7. a kind of wisdom population statistical system based on edge calculations characterized by comprising
Module is established, for constructing edge calculations network according to population characteristic and Edge Server geographical location;
Update module updates Edge Server locally store information for acquiring population information by edge sensor;
Communication module updates neighbours' server storage information for notifying neighbours' server;
Local computing module for locally for statistical analysis in Edge Server, and statistic analysis result is sent back in calculating
The heart;
Cooperated computing module, calculates center instruction and data for receiving, and carries out data exchange and association with designated edge server
With analysis.
8. system according to claim 7, which is characterized in that the update module, comprising:
Demographic data is converted to normal data for demographic data to be normalized by demographic data cleaning unit;
Demographic data synchronization unit, the information for same population to be located at different Edge Servers converge.
9. system according to claim 7, which is characterized in that the communication module, comprising:
Edge Server-calculating central communication unit, between Edge Server and calculating center instruction and data it is logical
Letter;
Edge Server-Edge Server communication unit, in the edge calculations network for being formed according to demographics task,
The communication of instruction and data between each Edge Server.
10. system according to claim 7, which is characterized in that the cooperated computing module, comprising:
Task scheduling unit, for controlling task distribution, the resource allocation of Edge Server;
Efficiency monitoring unit sends supervision result for supervising Edge Server statistical analysis efficiency, and to task scheduling unit;
Collection unit is counted, for summarizing the demographics of each Edge Server as a result, and responding the population of each Edge Server
Statistical data request.
Priority Applications (1)
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