CN107995278B - A kind of scene intelligent analysis system and method based on metropolitan area grade Internet of Things perception data - Google Patents
A kind of scene intelligent analysis system and method based on metropolitan area grade Internet of Things perception data Download PDFInfo
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Abstract
The invention belongs to Internet of Things analysis technical fields, more particularly, to a kind of scene intelligent analysis system and method based on metropolitan area grade Internet of Things perception data.A kind of scene intelligent analysis system based on metropolitan area grade Internet of Things perception data, including metropolitan area grade thing network sensing layer, metropolitan area grade Internet of Things network layer, metropolitan area grade internet of things data layer and metropolitan area grade internet of things application layer.A kind of scene intelligent analysis system and method based on metropolitan area grade Internet of Things perception data of the present invention, in metropolitan area grade spatial dimension, data are acquired using a plurality of types of Internet of Things, multiple dimensioned be abstracted is carried out to data, such as the scale in more macroscopical entire city, the scale of some part of more microcosmic city；The pattern recognition analysis that scene is executed using various factors can integrate the factors such as air particle situation, discharge of pollutant sources situation, wind direction and wind speed, city traffic situation, carry out the analysis of many reference amounts model, can carry out decision with the means of artificial intelligence.
Description
Technical field
The invention belongs to Internet of Things analysis technical field, more particularly, to a kind of based on metropolitan area grade Internet of Things perception data
Scene intelligent analysis system and method.
Background technique
Internet of Things (The Internet of Things, abbreviation IOT) is after computer, internet and communication network
The tide of the information industry development again, it is considered to be third time information revolution.Internet of Things is with complete perception, reliable biography
Defeated, Intelligent treatment feature is the network that can connect physical world.It has perception, transmission, information processing three-tier architecture, is
The expansion application of internet and communication network and Network stretch, it can change the Working Life mode of people, is promoted to the world
It is precisely controlled, to realize the functions such as science decision and most optimum distribution of resources.The Chinese government is in 2009 " development Internet of Things
Net industry " writes into " government work report ", is classified as one of big emerging strategic industry in China five, has greatly pushed Internet of Things
Net industry development.As the generation and development of a kind of new technology, the influence that Internet of Things includes transportation industry to entire society is huge
And it is far-reaching.The feature for furtheing investigate information collection, transmission, processing and the service under Internet of Things, to based on the area under Internet of Things
Domain information network carries out system research, is the current demand of industrial application of information technology development, is beneficial to promote System Effectiveness, pushes and produce
Adjustment of agricultural stracture and industrial upgrading.Internet of Things is not the product of single technical logic, we can be understood to people and object
Depth dialogue mechanism and two-way information translating mechanism, it is difficult to efficiently solve the virtual intersexuality that information between subject of nature is propagated
Topic.Instrumentation process has become the more direct historical practice theme of the mankind and more conscious social development choosing in the present age
It selects, the inherent mechanism of Internet of Things is annotated by the visual angle of information theory, the evolution of Internet of Things is interpreted by the change of medium sight
Rule dissects the epistemic logic of Internet of Things by superorganic thinking, by nature and human society in the Internet of Things ken
The foundation of real contacts relationship on theoretical basic point more profound, be that the humanistic nature of science and the social of technology must faces
The important proposition faced has good social history value and realistic meaning.Advantage of the Internet of Things in information propagation releases
Its media value, Internet of Things have established the richness of its propagation effect power to the penetration of cohesion and the information transmission of information resources
The deep reform of communication form has naturally also been expedited the emergence of on basis.We are based on " one machine of people, one object " three human subjects under environment of internet of things
Corresponding user's space domain, information space domain, the ternary system framework in physical space domain, and through control stream therebetween,
Data flow perceives the dynamic interaction mode of stream, for the information communication process in ternary dynamic space domain, proposes in the Internet of Things world
Contacts morphology issues, emphasis solution how to have physical environment Entity heterogeneity, information space dynamic interaction, Yong Huxu at the same time
It asks and realizes that wisdom Internet of Things is propagated in environment of internet of things complicated and changeable by the interaction between multiagent relationship.
The evolution route of Internet technology revolution: " the content propagation information search " in epoch is looked back to, when being the general propagation of network
Generation；" individual creates group collaboration " in epoch, is a networked society forming age；" all things on earth perceives wisdom control " in epoch, is people
The information exchange epoch of class society and the comprehensive interconnection of the material world.The present extensive interconnection and data for completing computer
Shared mission, the scale of future network realize more intelligent and ubiquitousization interconnection for considerably beyond present internet,
The interconnection of mobile phone and mobile phone in mobile Internet first, the interconnection of person to person in social networks, Internet of Things netter and object, object with
The interconnection of object is finally completed real world and merges with the complete of information world.This will be a super-large dimension, it is unlimited poly- melt, layer
The complex network system of abundant, the harmonious operation of grade, realizes that any information agent accesses any letter at any time and any place
World's form in breath source, it depicts the ideal for being overlapped mutually between various information main body, height fusion, freely converting for us
Change interaction view, our earth is also made really to become the unified three-dimensional information system of integration.
However there is presently no one can be fully solved Internet of Things carried out in metropolitan area data acquisition, it is abstract, point
It analyses and then realizes globality system or the method for decision to solve the problems, such as that existing whole efficiency is not strong.
Summary of the invention
The purpose of the present invention is to provide a kind of towards the progress efficient data analysis of metropolitan area Internet of Things based on metropolitan area grade object
The scene intelligent analysis system of networking perception data.The object of the invention is also to provide one kind to be perceived based on metropolitan area grade Internet of Things
The scene intelligent analysis method of data.
A kind of scene intelligent analysis system based on metropolitan area grade Internet of Things perception data, including the perception of metropolitan area grade Internet of Things
Layer, metropolitan area grade Internet of Things network layer, metropolitan area grade internet of things data layer and metropolitan area grade internet of things application layer；
For the metropolitan area grade thing network sensing layer by interactive space module composition, the interactive space module includes electromagnetism
Inductive pick-up, spectrum sensor, audio and video sensor, satellite remote sensing system, GNSS sensor, infrared sensor, suddenly
That sensor；Interactive space module is that the information network of entire Internet of Things acquires according to preset control and administrative standard
All physical events and total data occurred in environment；
The metropolitan area grade Internet of Things network layer is made of interaction channel and interaction protocol, interaction channel include PAN network,
Lan network, wlan network, WAN network, GPRS network, GPS network network, 3G network, 4G network；The interaction protocol is applicable
In all kinds of agreements of interaction channel；Metropolitan area grade thing network sensing layer is uploaded all physics to come by interaction channel and interaction protocol
Event and total data pass to metropolitan area grade internet of things data layer and are stored, and metropolitan area grade internet of things data layer is received
The decision information of metropolitan area grade internet of things application layer is sent to interactive space module；
The metropolitan area grade internet of things data layer is the large server combined based on memory with hard disk；Including Mongo
DB database, Hbase database, Redis database, NoSQL database, Cassandra database；Metropolitan area grade internet of things data
Layer stores the isomerization of metropolitan area grade Internet of Things network layer and the transmitting of metropolitan area grade internet of things application layer, knot by distributed storage architecture
Structure data；
The metropolitan area grade internet of things application layer be metropolitan area grade thing network sensing layer is got, metropolitan area grade Internet of Things netting index
Analyzed, handled, stored, filtered according to the data information that layer transmits, and to environment locating for metropolitan area grade thing network sensing layer into
Row analysis, according to result provide user needed for service, in Internet of Things object carry out it is intelligentized identification, positioning, tracking,
It monitors, the data terminal of decision and management.
All physical events occurred and the particular content of total data include: in the acquisition environment
(1) form information of collection event is defined as syntactic information, and the semantic information of collection event is defined as semantic information,
The utility information of event is known as pragmatic information, successively uses symbol Δ l respectivelyg、Δls、ΔlpIt indicates, full information set: Δ l=Q
(Δlg+Δls+Δlp), Q represents operator, is uncertain operation when event is unstable, determines fortune when event is stablized
It calculates；
(2) the prior information l of main body is introducedr(X；A), posterior information lo(X；A), real to obtain information Δ ln(X；A) believe with expectation
Cease le(X；A)；Main body A about the prior information of event X refer to that main body had before the actual observation event about
The information of the event；Main body A about the posterior information of event X refer to main body after the actual observation event it is obtained about
The information of the event；Main body A refers to the event that main body is actually obtained due to observing the event about real the information of event X
Net information；Main body A refers to the information that main body under various regimes obtains event expectation about the expectation information of event X；
Prior information, posterior information, the real information and the operation relation of full information of obtaining indicate are as follows:
Δ l=Q (Δ ln(X；A))=Q (lo(X；A)-lr(X；A))；
Syntactic information, semantic information, pragmatic information respectively indicate are as follows:
Δlg=Δ lg(X；A)=log(X；A)-lrg(X；A)
Δls=Δ ls(X；A)=los(X；A)-lrs(X；A)
Δlp=Δ lp(X；A)=lop(X；A)-lrp(X；A)
(3) time series t will be passed throughiPrior information, posterior information, the reality obtained afterwards obtains information and is；
Δlg=Δ lg(X, ti；A)=log(X, ti；A)-lrg(X, ti；A)
Δls=Δ ls(X, ti；A)=los(X, ti；A)-lrs(X, ti；A)
Δlp=Δ lp(X, ti；A)=lop(X, ti；A)-lrp(X, ti；A)
I=1,2,3 ... m；M represents time serial number；
It is above-mentioned to pass through time series tiThe prior information that obtains afterwards, posterior information, real information are used to describe event external
Feeling, consciousness and the presentation of the dominance condition of structure and the stimulus signal that event is issued, color, shape including event,
Size, sound, speed, temperature, the status information of frequency.
The interaction channel and interaction protocol by metropolitan area grade thing network sensing layer upload all physical events for coming and
The particular content that total data passes to metropolitan area grade internet of things data layer includes:
(1) data processing:
If GnFor information figureofmerit ordered series of numbers in respect of time in a certain region,N represents region sequence
Number,
(2) GM (h, 1) model in gray model for prediction is established:
A and u is the model parameter determined by initial data,
(3) reduction treatment:
Generate the inverse operation of data, prediction data is the corresponding index of each event；
For Gn(ti) predicted value；
(4) accuracy test:
Inspection of the residual sum with respect to residual error include:
Residual error
Opposite residual error
G0(ti) be the standard area ti moment information figureofmerit ordered series of numbers；
(5) if E (ti), e (t) be less than or equal to default threshold value E0 and e0, then by Gn(ti) it is sent to metropolitan area grade Internet of Things
Network data layer；If E (ti), e (t) be greater than default threshold value E0 and e0, then suspend region Internet of Things work, to threshold
Value is less than or equal to the threshold value E0 and e0 of default again, then restores the work of metropolitan area grade Internet of Things network layer.
The data information of the metropolitan area grade internet of things data layer storage includes:
Boolean type, for storing Boolean type data；
Double type, for storing type real data；
Int type, for storing the data of integer type；
String type, for storing string data；
Datetime type is used to storage time and date data；
Image type, for storing the picture for being less than 8MB size；
Video type, for storing the video data of arbitrary size；
Blob type, for storing other binary data；
Object type, for the expansible object type of storage organization.
The metropolitan area grade internet of things application layer be metropolitan area grade thing network sensing layer is got, metropolitan area grade Internet of Things netting index
Analyzed, handled, stored, filtered according to the data information that layer transmits, and to environment locating for metropolitan area grade thing network sensing layer into
Row analysis particular content include:
(1) each event and object are set as node, task balance are assigned on each node, in adjacent segments
Between point, a beacon frame with current time stamp is sent in neighbor node f to another node f by one of node q
After receiving the beacon frame, the time stamp T S in the data packet is extracted immediately, and creates a return ACK packet, by the time
Stamp data are added in ACK packet, push to large server；
(2) after origin node q receives the ACK packet, the timestamp information TS of needs is therefrom extracted, further according to present system time
TM, the propagation delay time of calculate node
T=(TM-TS)/2；
(3) each node successively calculates propagation delay time with its surroundings nodes respectively, and these time delays deposit routing table is believed
In breath, wherein the value of the propagation delay time of the origin node of system is 0；Information will re-start and give out a contract for a project every one section of set time,
To update routing table according to real-time network state；
(4) propagation delay time that the origin node of system is reached by A node path is calculated, when transmitting between neighbor node
After the completion of prolonging estimation, a broadcast request is sent in the 1st row node i, obtains the cumulative time delay of iteration of adjacent node；The 2nd
After trade node i receives the return packet of neighbor node, the cumulative time delay of iteration therein is extracted；It is about to extract in the 3rd, 4
The neighbor node iteration time delay that adds up is added with itself propagation delay time estimated value between neighbor node, is as a result saved into node i
The cumulative time delay collection of iteration of the origin node for being transmitted to system via neighbor node of node i；
(5) node i according to iteration add up time delay collection result and large server send operation information, result protect
It is operated after the cumulative time delay collection of deposit iteration.
A kind of scene intelligent analysis method based on metropolitan area grade Internet of Things perception data, includes the following steps:
(1) grade thing network sensing layer in metropolitan area is by including electromagnetic induction sensor, spectrum sensor, audio and video sensing
Device, satellite remote sensing system, GNSS sensor, infrared sensor, Hall sensor interactive space module according to preset
Control and administrative standard acquire all physical events occurred in environment and total data for the information network of entire Internet of Things；
(2) by including PAN network, lan network, wlan network, WAN network, GPRS network, GPS network network, 3G network, 4G
The metropolitan area grade Internet of Things network that the interaction protocol of the interaction channel of network and all kinds of agreements composition suitable for interaction channel is constituted
Metropolitan area grade thing network sensing layer is uploaded all physical events to come to layer and total data passes to metropolitan area grade internet of things data
Layer is stored, and the decision information for the metropolitan area grade internet of things application layer that metropolitan area grade internet of things data layer receives is sent to friendship
Mutual space module；
It (3) include Mongo DB database, Hbase database, Redis database, NoSQL database, Cassandra number
Pass through distributed storage according to the metropolitan area grade internet of things data layer that the large server combined based on memory with hard disk in library is constituted
Framework stores the isomerization of metropolitan area grade Internet of Things network layer and the transmitting of metropolitan area grade internet of things application layer, structural data；
(4) the metropolitan area grade internet of things application layer described in be metropolitan area grade thing network sensing layer is got, metropolitan area grade Internet of Things
The data information of network data layer transmitting is analyzed, is handled, is stored, is filtered, and to ring locating for metropolitan area grade thing network sensing layer
Border is analyzed, according to result provide user needed for service, in Internet of Things object carry out it is intelligentized identification, positioning,
Tracking monitors, the data terminal of decision and management.
All physical events occurred and the particular content of total data include: in the acquisition environment
(1) form information of collection event is defined as syntactic information, and the semantic information of collection event is defined as semantic information,
The utility information of event is known as pragmatic information, successively uses symbol Δ l respectivelyg、Δls、ΔlpIt indicates, full information set: Δ l=Q
(Δlg+Δls+Δlp), Q represents operator, is uncertain operation when event is unstable, determines fortune when event is stablized
It calculates；
(2) the prior information l of main body is introducedr(X；A), posterior information lo(X；A), real to obtain information Δ ln(X；A) believe with expectation
Cease le(X；A)；Main body A about the prior information of event X refer to that main body had before the actual observation event about
The information of the event；Main body A about the posterior information of event X refer to main body after the actual observation event it is obtained about
The information of the event；Main body A refers to the event that main body is actually obtained due to observing the event about real the information of event X
Net information；Main body A refers to the information that main body under various regimes obtains event expectation about the expectation information of event X；
Prior information, posterior information, the real information and the operation relation of full information of obtaining indicate are as follows:
Δ l=Q (Δ ln(X；A))=Q (lo(X；A)-lr(X；A))；
Syntactic information, semantic information, pragmatic information respectively indicate are as follows:
Δlg=Δ lg(X；A)=log(X；A)-lrg(X；A)
Δls=Δ ls(X；A)=los(X；A)-lrs(X；A)
Δlp=Δ lp(X；A)=lop(X；A)-lrp(X；A)
(3) time series t will be passed throughiPrior information, posterior information, the reality obtained afterwards obtains information and is；
Δlg=Δ lg(X, ti；A)=log(X, ti；A)-lrg(X, ti；A)
Δls=Δ ls(X, ti；A)=los(X, ti；A)-lrs(X, ti；A)
Δlp=Δ lp(X, ti；A)=lop(X, ti；A)-lrp(X, ti；A)
I=1,2,3 ... n；
It is above-mentioned to pass through time series tiThe prior information that obtains afterwards, posterior information, real information are used to describe event external
Feeling, consciousness and the presentation of the dominance condition of structure and the stimulus signal that event is issued, color, shape including event,
Size, sound, speed, temperature, the status information of frequency.
The interaction channel and interaction protocol by metropolitan area grade thing network sensing layer upload all physical events for coming and
The particular content that total data passes to metropolitan area grade internet of things data layer includes:
(1) data processing:
If GnFor information figureofmerit ordered series of numbers in respect of time in a certain region,N represents region sequence
Number,
(2) GM (h, 1) model in gray model for prediction is established:
A and u is the model parameter determined by initial data,
(3) reduction treatment:
Generate the inverse operation of data, prediction data is the corresponding index of each event；
For Gn(ti) predicted value；
(4) accuracy test:
Inspection of the residual sum with respect to residual error include:
Residual error
Opposite residual error
G0(ti) be the standard area ti moment information figureofmerit ordered series of numbers；
(5) if E (ti), e (t) be less than or equal to default threshold value E0 and e0, then by Gn(ti) it is sent to metropolitan area grade Internet of Things
Network data layer；If E (ti), e (t) be greater than default threshold value E0 and e0, then suspend region Internet of Things work, to threshold
Value is less than or equal to the threshold value E0 and e0 of default again, then restores the work of metropolitan area grade Internet of Things network layer.
The data information of the metropolitan area grade internet of things data layer storage includes:
Boolean type, for storing Boolean type data；
Double type, for storing type real data；
Int type, for storing the data of integer type；
String type, for storing string data；
Datetime type is used to storage time and date data；
Image type, for storing the picture for being less than 8MB size；
Video type, for storing the video data of arbitrary size；
Blob type, for storing other binary data；
Object type, for the expansible object type of storage organization.
The metropolitan area grade internet of things application layer be metropolitan area grade thing network sensing layer is got, metropolitan area grade Internet of Things netting index
Analyzed, handled, stored, filtered according to the data information that layer transmits, and to environment locating for metropolitan area grade thing network sensing layer into
Row analysis particular content include:
(1) each event and object are set as node, task balance are assigned on each node, in adjacent segments
Between point, a beacon frame with current time stamp is sent in neighbor node f to another node f by one of node q
After receiving the beacon frame, the time stamp T S in the data packet is extracted immediately, and creates a return ACK packet, by the time
Stamp data are added in ACK packet, push to large server；
(2) after origin node q receives the ACK packet, the timestamp information TS of needs is therefrom extracted, further according to present system time
TM, the propagation delay time of calculate node
T=(TM-TS)/2；
(3) each node successively calculates propagation delay time with its surroundings nodes respectively, and these time delays deposit routing table is believed
In breath, wherein the value of the propagation delay time of the origin node of system is 0；Information will re-start and give out a contract for a project every one section of set time,
To update routing table according to real-time network state；
(4) propagation delay time that the origin node of system is reached by A node path is calculated, when transmitting between neighbor node
After the completion of prolonging estimation, a broadcast request is sent in the 1st row node i, obtains the cumulative time delay of iteration of adjacent node；The 2nd
After trade node i receives the return packet of neighbor node, the cumulative time delay of iteration therein is extracted；It is about to extract in the 3rd, 4
The neighbor node iteration time delay that adds up is added with itself propagation delay time estimated value between neighbor node, is as a result saved into node i
The cumulative time delay collection of iteration of the origin node for being transmitted to system via neighbor node of node i；
(5) node i according to iteration add up time delay collection result and large server send operation information, result protect
It is operated after the cumulative time delay collection of deposit iteration.
The beneficial effects of the present invention are:
A kind of scene intelligent analysis system and method based on metropolitan area grade Internet of Things perception data of the present invention, in city
In the grade spatial dimension of domain, data are acquired using a plurality of types of Internet of Things, data are carried out multiple dimensioned abstract such as macroer
The scale in the entire city seen, the scale of some part of more microcosmic city；Known using the mode that various factors executes scene
It does not analyze, such as the tendency of air pollution, air particle situation, discharge of pollutant sources situation, wind direction and wind can be integrated
The factors such as speed, city traffic situation carry out the analysis of many reference amounts model, can carry out decision with the means of artificial intelligence.
Detailed description of the invention
It, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical solution in the prior art
Embodiment or attached drawing needed to be used in the description of the prior art be briefly described, it should be apparent that, it is described below
Attached drawing is some embodiments of the present invention, for those of ordinary skill in the art, before not making the creative labor
It puts, is also possible to obtain other drawings based on these drawings.
Fig. 1 shows present system structure chart.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with attached drawing to the present invention
Technical solution be clearly and completely described, it is clear that described embodiments are some of the embodiments of the present invention, rather than
Whole embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not making creative work premise
Under every other embodiment obtained, shall fall within the protection scope of the present invention.
A kind of scene intelligent analysis system based on metropolitan area grade Internet of Things perception data, including the perception of metropolitan area grade Internet of Things
Layer, metropolitan area grade Internet of Things network layer, metropolitan area grade internet of things data layer and metropolitan area grade internet of things application layer；
For the metropolitan area grade thing network sensing layer by interactive space module composition, the interactive space module includes electromagnetism
Inductive pick-up, spectrum sensor, audio and video sensor, satellite remote sensing system, GNSS sensor, infrared sensor, suddenly
That sensor；Interactive space module is that the information network of entire Internet of Things acquires according to preset control and administrative standard
All physical events and total data occurred in environment；
The metropolitan area grade Internet of Things network layer is made of interaction channel and interaction protocol, interaction channel include PAN network,
Lan network, wlan network, WAN network, GPRS network, GPS network network, 3G network, 4G network；The interaction protocol is applicable
In all kinds of agreements of interaction channel；Metropolitan area grade thing network sensing layer is uploaded all physics to come by interaction channel and interaction protocol
Event and total data pass to metropolitan area grade internet of things data layer and are stored, and metropolitan area grade internet of things data layer is received
The decision information of metropolitan area grade internet of things application layer is sent to interactive space module；
The metropolitan area grade internet of things data layer is the large server combined based on memory with hard disk；Including Mongo
DB database, Hbase database, Redis database, NoSQL database, Cassandra database；Metropolitan area grade internet of things data
Layer stores the isomerization of metropolitan area grade Internet of Things network layer and the transmitting of metropolitan area grade internet of things application layer, knot by distributed storage architecture
Structure data；
The metropolitan area grade internet of things application layer be metropolitan area grade thing network sensing layer is got, metropolitan area grade Internet of Things netting index
Analyzed, handled, stored, filtered according to the data information that layer transmits, and to environment locating for metropolitan area grade thing network sensing layer into
Row analysis, according to result provide user needed for service, in Internet of Things object carry out it is intelligentized identification, positioning, tracking,
It monitors, the data terminal of decision and management.
All physical events occurred and the particular content of total data include: in the acquisition environment
(1) form information of collection event is defined as syntactic information, and the semantic information of collection event is defined as semantic information,
The utility information of event is known as pragmatic information, successively uses symbol Δ l respectivelyg、Δls、ΔlpIt indicates, full information set: Δ l=Q
(Δlg+Δls+Δlp), Q represents operator, is uncertain operation when event is unstable, determines fortune when event is stablized
It calculates；
(2) the prior information l of main body is introducedr(X；A), posterior information lo(X；A), real to obtain information Δ ln(X；A) believe with expectation
Cease le(X；A)；Main body A about the prior information of event X refer to that main body had before the actual observation event about
The information of the event；Main body A about the posterior information of event X refer to main body after the actual observation event it is obtained about
The information of the event；Main body A refers to the event that main body is actually obtained due to observing the event about real the information of event X
Net information；Main body A refers to the information that main body under various regimes obtains event expectation about the expectation information of event X；
Prior information, posterior information, the real information and the operation relation of full information of obtaining indicate are as follows:
Δ l=Q (Δ ln(X；A))=Q (lo(X；A)-lr(X；A))；
Syntactic information, semantic information, pragmatic information respectively indicate are as follows:
Δlg=Δ lg(X；A)=log(X；A)-lrg(X；A)
Δls=Δ ls(X；A)=los(X；A)-lrs(X；A)
Δlp=Δ lp(X；A)=lop(X；A)-lrp(X；A)
(3) time series t will be passed throughiPrior information, posterior information, the reality obtained afterwards obtains information and is；
Δlg=Δ lg(X, ti；A)=log(X, ti；A)-lrg(X, ti；A)
Δls=Δ ls(X, ti；A)=los(X, ti；A)-lrs(X, ti；A)
Δlp=Δ lp(X, ti；A)=lop(X, ti；A)-lrp(X, ti；A)
I=1,2,3 ... n；
It is above-mentioned to pass through time series tiThe prior information that obtains afterwards, posterior information, real information are used to describe event external
Feeling, consciousness and the presentation of the dominance condition of structure and the stimulus signal that event is issued, color, shape including event,
Size, sound, speed, temperature, the status information of frequency.
The interaction channel and interaction protocol by metropolitan area grade thing network sensing layer upload all physical events for coming and
The particular content that total data passes to metropolitan area grade internet of things data layer includes:
(1) data processing:
If GnFor information figureofmerit ordered series of numbers in respect of time in a certain region,N represents region sequence
Number,
(2) GM (h, 1) model in gray model for prediction is established:
A and u is the model parameter determined by initial data,
(3) reduction treatment:
Generate the inverse operation of data, prediction data is the corresponding index of each event；
For Gn(ti) predicted value；
(4) accuracy test:
Inspection of the residual sum with respect to residual error include:
Residual error
Opposite residual error
G0(ti) be the standard area ti moment information figureofmerit ordered series of numbers；
(5) if E (ti), e (t) be less than or equal to default threshold value E0 and e0, then by Gn(ti) it is sent to metropolitan area grade Internet of Things
Network data layer；If E (ti), e (t) be greater than default threshold value E0 and e0, then suspend region Internet of Things work, to threshold
Value is less than or equal to the threshold value E0 and e0 of default again, then restores the work of metropolitan area grade Internet of Things network layer.
Direct factor due to influencing information requirement is Regional Economic Development situation, communications and transportation activity intensity, population shape
The factors such as condition.Either regional economic development or communications and transportation activity are all a multi-level, multifactor complication systems,
External concentrated expression of the quantity of information requirement as this complication system, it is very complicated with each level of system, the relationship of each factor, deposits
Many completely uncertain or oneself through determining but is difficult to the connection that is definitely described with quantitative relationship, but each level of system,
In each metastable situation of factor, useful information can be excavated from one group of time series data, seek information content itself
Changing rule, and the mathematical model of quantitative analysis is established accordingly, to predict the regional traffic information content of the following special time period.
Therefore, it one can consider that the regional traffic information network of one " a small number of evidences, imperfect information " is exactly a gray system, adopts
Carrying out prediction to traffic information demand with grey forecasting model is suitably that this method is the effective work quantified to information
Tool and means.Therefore, it is capable of the data cases of accurate, efficient conversion zone to the building of information content prediction model with the model.
The data information of the metropolitan area grade internet of things data layer storage includes:
Boolean type, for storing Boolean type data；
Double type, for storing type real data；
Int type, for storing the data of integer type；
String type, for storing string data；
Datetime type is used to storage time and date data；
Image type, for storing the picture for being less than 8MB size；
Video type, for storing the video data of arbitrary size；
Blob type, for storing other binary data；
Object type, for the expansible object type of storage organization.
The metropolitan area grade internet of things application layer be metropolitan area grade thing network sensing layer is got, metropolitan area grade Internet of Things netting index
Analyzed, handled, stored, filtered according to the data information that layer transmits, and to environment locating for metropolitan area grade thing network sensing layer into
Row analysis particular content include:
(1) each event and object are set as node, task balance are assigned on each node, in adjacent segments
Between point, a beacon frame with current time stamp is sent in neighbor node f to another node f by one of node q
After receiving the beacon frame, the time stamp T S in the data packet is extracted immediately, and creates a return ACK packet, by the time
Stamp data are added in ACK packet, push to large server；
(2) after origin node q receives the ACK packet, the timestamp information TS of needs is therefrom extracted, further according to present system time
TM, the propagation delay time of calculate node
T=(TM-TS)/2；
(3) each node successively calculates propagation delay time with its surroundings nodes respectively, and these time delays deposit routing table is believed
In breath, wherein the value of the propagation delay time of the origin node of system is 0；Information will re-start and give out a contract for a project every one section of set time,
To update routing table according to real-time network state；
(4) propagation delay time that the origin node of system is reached by A node path is calculated, when transmitting between neighbor node
After the completion of prolonging estimation, a broadcast request is sent in the 1st row node i, obtains the cumulative time delay of iteration of adjacent node；The 2nd
After trade node i receives the return packet of neighbor node, the cumulative time delay of iteration therein is extracted；It is about to extract in the 3rd, 4
The neighbor node iteration time delay that adds up is added with itself propagation delay time estimated value between neighbor node, is as a result saved into node i
The cumulative time delay collection of iteration of the origin node for being transmitted to system via neighbor node of node i；
(5) node i according to iteration add up time delay collection result and large server send operation information, result protect
It is operated after the cumulative time delay collection of deposit iteration.
A kind of scene intelligent analysis method based on metropolitan area grade Internet of Things perception data, includes the following steps:
(1) grade thing network sensing layer in metropolitan area is by including electromagnetic induction sensor, spectrum sensor, audio and video sensing
Device, satellite remote sensing system, GNSS sensor, infrared sensor, Hall sensor interactive space module according to preset
Control and administrative standard acquire all physical events occurred in environment and total data for the information network of entire Internet of Things；
(2) by including PAN network, lan network, wlan network, WAN network, GPRS network, GPS network network, 3G network, 4G
The metropolitan area grade Internet of Things network that the interaction protocol of the interaction channel of network and all kinds of agreements composition suitable for interaction channel is constituted
Metropolitan area grade thing network sensing layer is uploaded all physical events to come to layer and total data passes to metropolitan area grade internet of things data
Layer is stored, and the decision information for the metropolitan area grade internet of things application layer that metropolitan area grade internet of things data layer receives is sent to friendship
Mutual space module；
It (3) include Mongo DB database, Hbase database, Redis database, NoSQL database, Cassandra number
Pass through distributed storage according to the metropolitan area grade internet of things data layer that the large server combined based on memory with hard disk in library is constituted
Framework stores the isomerization of metropolitan area grade Internet of Things network layer and the transmitting of metropolitan area grade internet of things application layer, structural data；
(4) the metropolitan area grade internet of things application layer described in be metropolitan area grade thing network sensing layer is got, metropolitan area grade Internet of Things
The data information of network data layer transmitting is analyzed, is handled, is stored, is filtered, and to ring locating for metropolitan area grade thing network sensing layer
Border is analyzed, according to result provide user needed for service, in Internet of Things object carry out it is intelligentized identification, positioning,
Tracking monitors, the data terminal of decision and management.
All physical events occurred and the particular content of total data include: in the acquisition environment
(1) form information of collection event is defined as syntactic information, and the semantic information of collection event is defined as semantic information,
The utility information of event is known as pragmatic information, successively uses symbol Δ l respectivelyg、Δls、ΔlpIt indicates, full information set: Δ l=Q
(Δlg+Δls+Δlp), Q represents operator, is uncertain operation when event is unstable, determines fortune when event is stablized
It calculates；
(2) the prior information l of main body is introducedr(X；A), posterior information lo(X；A), real to obtain information Δ ln(X；A) believe with expectation
Cease le(X；A)；Main body A about the prior information of event X refer to that main body had before the actual observation event about
The information of the event；Main body A about the posterior information of event X refer to main body after the actual observation event it is obtained about
The information of the event；Main body A refers to the event that main body is actually obtained due to observing the event about real the information of event X
Net information；Main body A refers to the information that main body under various regimes obtains event expectation about the expectation information of event X；
Prior information, posterior information, the real information and the operation relation of full information of obtaining indicate are as follows:
Δ l=Q (Δ ln(X；A))=Q (lo(X；A)-lr(X；A))；
Syntactic information, semantic information, pragmatic information respectively indicate are as follows:
Δlg=Δ lg(X；A)=log(X；A)-lrg(X；A)
Δls=Δ ls(X；A)=los(X；A)-lrs(X；A)
Δlp=Δ lp(X；A)=lop(X；A)-lrp(X；A)
(3) time series t will be passed throughiPrior information, posterior information, the reality obtained afterwards obtains information and is；
Δlg=Δ lg(X, ti；A)=log(X, ti；A)-lrg(X, ti；A)
Δls=Δ ls(X, ti；A)=los(X, ti；A)-lrs(X, ti；A)
Δlp=Δ lp(X, ti；A)=lop(X, ti；A)-lrp(X, ti；A)
I=1,2,3 ... n；
It is above-mentioned to pass through time series tiThe prior information that obtains afterwards, posterior information, real information are used to describe event external
Feeling, consciousness and the presentation of the dominance condition of structure and the stimulus signal that event is issued, color, shape including event,
Size, sound, speed, temperature, the status information of frequency.
Each main body describes the full information of event widely different due to the difference of state.The main body of perception is more paid close attention to
The structural form of event, the main body of rationality more pays close attention to the functional meaning of event, and the main body of reality then more focuses on the valence of event
It is worth effectiveness, here it is the effects of earlier acquisition data.When the state of main body is also unstable, uncertain operation is shown as；And work as
Main body it is in stable condition when, show as certainty operation.
The interaction channel and interaction protocol by metropolitan area grade thing network sensing layer upload all physical events for coming and
The particular content that total data passes to metropolitan area grade internet of things data layer includes:
(1) data processing:
If GnFor information figureofmerit ordered series of numbers in respect of time in a certain region,N represents region sequence
Number,
(2) GM (h, 1) model in gray model for prediction is established:
A and u is the model parameter determined by initial data,
(3) reduction treatment:
Generate the inverse operation of data, prediction data is the corresponding index of each event；
For Gn(ti) predicted value；
(4) accuracy test:
Inspection of the residual sum with respect to residual error include:
Residual error
Opposite residual error
G0(ti) be the standard area ti moment information figureofmerit ordered series of numbers；
(5) if E (ti), e (t) be less than or equal to default threshold value E0 and e0, then by Gn(ti) it is sent to metropolitan area grade Internet of Things
Network data layer；If E (ti), e (t) be greater than default threshold value E0 and e0, then suspend region Internet of Things work, to threshold
Value is less than or equal to the threshold value E0 and e0 of default again, then restores the work of metropolitan area grade Internet of Things network layer.
The data information of the metropolitan area grade internet of things data layer storage includes:
Boolean type, for storing Boolean type data；
Double type, for storing type real data；
Int type, for storing the data of integer type；
String type, for storing string data；
Datetime type is used to storage time and date data；
Image type, for storing the picture for being less than 8MB size；
Video type, for storing the video data of arbitrary size；
Blob type, for storing other binary data；
Object type, for the expansible object type of storage organization.
Obtain the data object of unified format, it is necessary to pattern definition be carried out to the Compatible object of this isomery, this is with regard to class
It is similar in traditional relational model, first defines a binary crelation and its constraint, can just obtain the two-dimentional relation of storing data
Table.In the present invention, usage type system is described to the data pattern.Which is that Internet of Things overall data is unified
Format, convenient for the transmitting of information.
The metropolitan area grade internet of things application layer be metropolitan area grade thing network sensing layer is got, metropolitan area grade Internet of Things netting index
Analyzed, handled, stored, filtered according to the data information that layer transmits, and to environment locating for metropolitan area grade thing network sensing layer into
Row analysis particular content include:
(1) each event and object are set as node, task balance are assigned on each node, in adjacent segments
Between point, a beacon frame with current time stamp is sent in neighbor node f to another node f by one of node q
After receiving the beacon frame, the time stamp T S in the data packet is extracted immediately, and creates a return ACK packet, by the time
Stamp data are added in ACK packet, push to large server；
(2) after origin node q receives the ACK packet, the timestamp information TS of needs is therefrom extracted, further according to present system time
TM, the propagation delay time of calculate node
T=(TM-TS)/2；
(3) each node successively calculates propagation delay time with its surroundings nodes respectively, and these time delays deposit routing table is believed
In breath, wherein the value of the propagation delay time of the origin node of system is 0；Information will re-start and give out a contract for a project every one section of set time,
To update routing table according to real-time network state；
(4) propagation delay time that the origin node of system is reached by A node path is calculated, when transmitting between neighbor node
After the completion of prolonging estimation, a broadcast request is sent in the 1st row node i, obtains the cumulative time delay of iteration of adjacent node；The 2nd
After trade node i receives the return packet of neighbor node, the cumulative time delay of iteration therein is extracted；It is about to extract in the 3rd, 4
The neighbor node iteration time delay that adds up is added with itself propagation delay time estimated value between neighbor node, is as a result saved into node i
The cumulative time delay collection of iteration of the origin node for being transmitted to system via neighbor node of node i；
(5) node i according to iteration add up time delay collection result and large server send operation information, result protect
It is operated after the cumulative time delay collection of deposit iteration.
This method is by obtaining all nodal informations concentrated in node, according in the information of each node and network
The remaining information of all nodes is comprehensive, calculates the Delay of each node.According to the information, random function is called, is being saved
Point concentrates the forwarding of selection node progress data packet, to increase the robustness of network entirety, balance network load.
A kind of scene intelligent analysis system and method based on metropolitan area grade Internet of Things perception data of the present invention, in city
In the grade spatial dimension of domain, data are acquired using a plurality of types of Internet of Things, data are carried out multiple dimensioned abstract such as macroer
The scale in the entire city seen, the scale of some part of more microcosmic city；Known using the mode that various factors executes scene
It does not analyze, such as the tendency of air pollution, air particle situation, discharge of pollutant sources situation, wind direction and wind can be integrated
The factors such as speed, city traffic situation carry out the analysis of many reference amounts model, can carry out decision with the means of artificial intelligence.
Claims (6)
1. a kind of scene intelligent analysis system based on metropolitan area grade Internet of Things perception data, including metropolitan area grade thing network sensing layer,
Metropolitan area grade Internet of Things network layer, metropolitan area grade internet of things data layer and metropolitan area grade internet of things application layer；It is characterized by:
For the metropolitan area grade thing network sensing layer by interactive space module composition, the interactive space module includes electromagnetic induction
Sensor, spectrum sensor, audio and video sensor, satellite remote sensing system, GNSS sensor, infrared sensor, Hall pass
Sensor；Interactive space module is that the information network of entire Internet of Things acquires environment according to preset control and administrative standard
All physical events and total data of middle generation；
The metropolitan area grade Internet of Things network layer is made of interaction channel and interaction protocol, and interaction channel includes PAN network, LAN
Network, wlan network, WAN network, GPRS network, GPS network network, 3G network, 4G network；The interaction protocol is suitable for handing over
All kinds of agreements in mutual channel；Metropolitan area grade thing network sensing layer is uploaded all physical events to come by interaction channel and interaction protocol
The metropolitan area that metropolitan area grade internet of things data layer is stored, and metropolitan area grade internet of things data layer is received is passed to total data
The decision information of grade internet of things application layer is sent to interactive space module；Also, the interaction channel and interaction protocol is by city
Domain grade thing network sensing layer uploads all physical events to come and total data passes to the tool of metropolitan area grade internet of things data layer
Hold in vivo and includes:
(2.1) data processing: G is setnFor information figureofmerit ordered series of numbers in respect of time in a certain region,n
Region serial number is represented, the form information of collection event is defined as syntactic information, and the semantic information of collection event is defined as semantic letter
Breath, the utility information of event are known as pragmatic information, successively use symbol Δ l respectivelyg、Δls、ΔlpIt indicates；
(2.2) GM (h, l) model in gray model for prediction is established:
A and u is the model parameter determined by initial data,
(2.3) reduction treatment:
Generate the inverse operation of data, prediction data is the corresponding index of each event；
For Gn(ti) predicted value；
(2.4) accuracy test:
Inspection of the residual sum with respect to residual error include:
Residual error
Opposite residual error
G0(ti) it is standard area tiThe information figureofmerit ordered series of numbers at moment；
(2.5) if E (ti), e (t) be less than or equal to default threshold value E0 and e0, then by Gn(ti) it is sent to metropolitan area grade Internet of Things
Data Layer；If E (ti), e (t) be greater than default threshold value E0 and e0, then suspend region Internet of Things work, to threshold value
Again it is less than or equal to the threshold value E0 and e0 of default, then restores the work of metropolitan area grade Internet of Things network layer；
The metropolitan area grade internet of things data layer is the large server combined based on memory with hard disk；Including Mongo DB number
According to library, Hbase database, Redis database, NoSQL database, Cassandra database；Metropolitan area grade internet of things data layer is logical
Cross isomerization, the structuring of distributed storage architecture storage metropolitan area grade Internet of Things network layer and the transmitting of metropolitan area grade internet of things application layer
Data；
The metropolitan area grade internet of things application layer be metropolitan area grade thing network sensing layer is got, metropolitan area grade internet of things data layer
The data information of transmitting is analyzed, is handled, is stored, is filtered, and is divided environment locating for metropolitan area grade thing network sensing layer
Analysis, based on the analysis results provide user needed for service, in Internet of Things object carry out it is intelligentized identification, positioning, tracking,
It monitors, the data terminal of decision and management；
Wherein, the metropolitan area grade internet of things application layer metropolitan area grade thing network sensing layer is got, metropolitan area grade internet of things data
Layer transmitting data information analyzed, handled, stored, filtered, using a plurality of types of Internet of Things acquire data, to data into
Row is multiple dimensioned to be abstracted；It specifically includes: (1) each event and object being set as node, task balance is assigned to each
On a node, between adjacent node, one is sent with current time stamp to another node f by one of node q
Beacon frame immediately extracts the time stamp T S in the data packet after neighbor node f receives the beacon frame, and creates one
A return ACK packet, time stamp data is added in ACK packet, large server is pushed to；(2) origin node q receives the ACK packet
Afterwards, the timestamp information TS for therefrom extracting needs, further according to present system time TM, the propagation delay time T=(TM- of calculate node
TS)/2；(3) each node successively calculates propagation delay time with its surroundings nodes respectively, and these time delays are stored in routing table information
In, wherein the value of the propagation delay time of the origin node of system is 0；Information will re-start and give out a contract for a project every one section of set time, come
According to real-time network state, routing table is updated；(4) when calculating the transmission for the origin node for reaching system by A node path
Prolong, after the completion of propagation delay time estimation between neighbor node, sends a broadcast request in node i, obtain adjacent node
Iteration adds up time delay；After node i receives the return packet of neighbor node, the cumulative time delay of iteration therein is extracted；It will extract
The neighbor node iteration time delay that adds up be added with itself propagation delay time estimated value between neighbor node, be as a result saved into node i
Via neighbor node be transmitted to system origin node iteration add up time delay collection；(5) node i adds up time delay collection according to iteration
As a result and large server send operation information, result be saved into iteration add up time delay collection after operated；By obtaining
All nodal informations concentrated in node are taken, the remaining information according to nodes all in the information of each node and network is comprehensive
It closes, calculates the Delay of each node；According to the information, random function is called, concentrates selection node to be counted in node
According to the forwarding of packet, to increase the robustness of network entirety.
2. a kind of scene intelligent analysis system based on metropolitan area grade Internet of Things perception data according to claim 1, special
Sign is that all physical events occurred and the particular content of total data include: in the acquisition environment
(1.1) full information set: Δ l=Q (Δ lg+Δls+Δlp), Q represents operator, is uncertain when event is unstable
Operation determines operation when event is stablized；
(1.2) the prior information l of main body is introducedr(X；A), posterior information lo(X；A), real to obtain information Δ ln(X；A) and expectation information
le(X；A)；Main body A about the prior information of event X refer to that main body had before the actual observation event about this
The information of event；Main body A refers to that main body is obtained about this after the actual observation event about the posterior information of event X
The information of event；Main body A refers to the event that main body is actually obtained due to observing the event about real the information of event X
Net information；Main body A refers to the information that main body under various regimes obtains event expectation about the expectation information of event X；
Prior information, posterior information, the real information and the operation relation of full information of obtaining indicate are as follows:
Δ l=Q (Δ ln(X；A))=Q (lo(X；A)-lr(X；A))；
Syntactic information, semantic information, pragmatic information respectively indicate are as follows:
Δlg=Δ lg(X；A)=log(X；A)-lrg(X；A)
Δls=Δ ls(X；A)=los(X；A)-lrs(X；A)
Δlp=Δ lp(X；A)=lop(X；A)-lrp(X；A)；
(1.3) time series t will be passed throughiPrior information, posterior information, the reality obtained afterwards obtains information and is；
Δlg=Δ lg(X,ti；A)=log(X,ti；A)-lrg(X,ti；A)
Δls=Δ ls(X,ti；A)=los(X,ti；A)-lrs(X, ti；A)
Δlp=Δ lp(X,ti；A)=lop(X,ti；A)-lrp(X, ti；A)
I=1,2,3 ... m；M represents time serial number；
It is above-mentioned to pass through time series tiPrior information, posterior information, the real information that obtains obtained afterwards is used to describe event formal structure
Feeling, consciousness and the presentation of dominance condition and the stimulus signal that event is issued, color, shape, size, sound including event
Sound, speed, temperature, the status information of frequency.
3. a kind of scene intelligent analysis system based on metropolitan area grade Internet of Things perception data according to claim 1, special
Sign is that the data information of the metropolitan area grade internet of things data layer storage includes:
Boolean type, for storing Boolean type data；
Double type, for storing type real data；
Int type, for storing the data of integer type；
String type, for storing string data；
Datetime type is used to storage time and date data；
Image type, for storing the picture for being less than 8MB size；
Video type, for storing the video data of arbitrary size；
Blob type, for storing other binary data；
Object type, for the expansible object type of storage organization.
4. a kind of scene intelligent analysis method based on metropolitan area grade Internet of Things perception data, which comprises the steps of:
(1) metropolitan area grade thing network sensing layer by include electromagnetic induction sensor, spectrum sensor, audio and video sensor,
Satellite remote sensing system, GNSS sensor, infrared sensor, Hall sensor interactive space module according to preset control
And administrative standard, all physical events occurred in environment and total data are acquired for the information network of entire Internet of Things；
(2) by including PAN network, lan network, wlan network, WAN network, GPRS network, GPS network network, 3G network, 4G network
Interaction channel and suitable for interaction channel all kinds of agreements form interaction protocol constitute metropolitan area grade Internet of Things network layer, will
Metropolitan area grade thing network sensing layer uploads all physical events for coming and total data pass to metropolitan area grade internet of things data layer into
Row storage, and the decision information for the metropolitan area grade internet of things application layer that metropolitan area grade internet of things data layer receives is sent to interaction sky
Between module；Metropolitan area grade thing network sensing layer is uploaded all physical events for coming and complete by the interaction channel and interaction protocol
The particular content that portion's data pass to metropolitan area grade internet of things data layer includes:
Data processing:
If GnFor information figureofmerit ordered series of numbers in respect of time in a certain region,N represents region serial number, adopts
The form information of collection event is defined as syntactic information, and the semantic information of collection event is defined as semantic information, the effectiveness letter of event
Breath is known as pragmatic information, successively uses symbol Δ l respectivelyg、Δls、ΔlpIt indicates；
Establish GM (h, l) model in gray model for prediction:
A and u is the model parameter determined by initial data,
Reduction treatment:
Generate the inverse operation of data, prediction data is the corresponding index of each event；
For Gn(ti) predicted value；
Accuracy test:
Inspection of the residual sum with respect to residual error include:
Residual error
Opposite residual error
G0(ti) it is standard area tiThe information figureofmerit ordered series of numbers at moment；
If E (ti), e (t) be less than or equal to default threshold value E0 and e0, then by Gn(ti) it is sent to metropolitan area grade internet of things data
Layer；If E (ti), e (t) be greater than default threshold value E0 and e0, then suspend region Internet of Things work, again to threshold value
Less than or equal to the threshold value E0 and e0 of default, then restore the work of metropolitan area grade Internet of Things network layer；
It (3) include Mongo DB database, Hbase database, Redis database, NoSQL database, Cassandra database
The metropolitan area grade internet of things data layer that constitutes of the large server that is combined based on memory with hard disk pass through distributed storage architecture
Store isomerization, the structural data of metropolitan area grade Internet of Things network layer and the transmitting of metropolitan area grade internet of things application layer；
(4) the metropolitan area grade internet of things application layer described in be metropolitan area grade thing network sensing layer is got, metropolitan area grade Internet of Things netting index
Analyzed, handled, stored, filtered according to the data information that layer transmits, and to environment locating for metropolitan area grade thing network sensing layer into
Row analysis, based on the analysis results provide user needed for service, in Internet of Things object carry out it is intelligentized identification, positioning,
Tracking monitors, the data terminal of decision and management；Wherein, the metropolitan area grade internet of things application layer perceives metropolitan area grade Internet of Things
Data information that layer is got, the transmitting of metropolitan area grade internet of things data layer is analyzed, is handled, is stored, is filtered, and multiple types are utilized
The Internet of Things of type acquires data, carries out multiple dimensioned be abstracted to data；It specifically includes: each event and object is set as saving
Task balance is assigned on each node by point, between adjacent node, by one of node q to another node f
A beacon frame with current time stamp is sent, after neighbor node f receives the beacon frame, immediately by the time in the data packet
Stamp TS is extracted, and creates a return ACK packet, and time stamp data is added in ACK packet, large server is pushed to；
After origin node q receives the ACK packet, the timestamp information TS of needs is therefrom extracted, further according to present system time TM, calculate node
Propagation delay time
T=(TM-TS)/2；
Each node successively calculates propagation delay time with its surroundings nodes respectively, and these time delays are stored in routing table information,
The value of the propagation delay time of the origin node of middle system is 0；Information will re-start and give out a contract for a project, carry out basis every one section of set time
Real-time network state updates routing table；The propagation delay time for reaching the origin node of system by A node path is calculated, neighbour is worked as
It occupies between node after the completion of propagation delay time estimation, sends a broadcast request in node i, the iteration for obtaining adjacent node is cumulative
Time delay；After node i receives the return packet of neighbor node, the cumulative time delay of iteration therein is extracted；The neighbours extracted are saved
The point iteration time delay that adds up is added with itself propagation delay time estimated value between neighbor node, be as a result saved into node i via neighbour
Occupy node-node transmission to system origin node iteration add up time delay collection；Node i adds up the result of time delay collection and big according to iteration
The operation information that type server is sent is operated after result is saved into the cumulative time delay collection of iteration；By obtaining all be in
The nodal information that node is concentrated, it is comprehensive according to the remaining information of nodes all in the information of each node and network, it calculates
The Delay of each node；According to the information, random function is called, concentrates selection node to carry out turning for data packet in node
Hair, to increase the robustness of network entirety.
5. a kind of scene intelligent analysis method based on metropolitan area grade Internet of Things perception data according to claim 4, special
Sign is that all physical events occurred and the particular content of total data include: in the acquisition environment
Full information set: Δ l=Q (Δ lg+Δls+Δlp), it is uncertain operation when event is unstable that Q, which represents operator,
It is determining operation when event is stablized；
Introduce the prior information l of main bodyr(X；A), posterior information lo(X；A), real to obtain information Δ ln(X；A) and expectation information le(X；
A)；Main body A about the prior information of event X refer to that main body had before the actual observation event about the event
Information；Main body A refers to that main body is obtained about the event after the actual observation event about the posterior information of event X
Information；The real net letter that obtains the event that information refer to main body due to observing the event actually obtain of the main body A about event X
Breath；Main body A refers to the information that main body under various regimes obtains event expectation about the expectation information of event X；
Prior information, posterior information, the real information and the operation relation of full information of obtaining indicate are as follows:
Δ l=Q (Δ ln(X；A))=Q (lo(X；A)-lr(X；A))；
Syntactic information, semantic information, pragmatic information respectively indicate are as follows:
Δlg=Δ lg(X；A)=log(X；A)-lrg(X；A)
Δls=Δ ls(X；A)=los(X；A)-lrs(X；A)
Δlp=Δ lp(X；A)=lop(X；A)-lrp(X；A)
Time series t will be passed throughiPrior information, posterior information, the reality obtained afterwards obtains information and is；
Δlg=Δ lg(X,ti；A)=log(X,ti；A)-lrg(X,ti；A)
Δls=Δ ls(X, ti；A)=los(X,ti；A)-lrs(X,ti；A)
Δlp=Δ lp(X,ti；A)=lop(X,ti；A)-lrp(X,ti；A)
I=1,2,3 ... n；
It is above-mentioned to pass through time series tiPrior information, posterior information, the real information that obtains obtained afterwards is used to describe event formal structure
Feeling, consciousness and the presentation of dominance condition and the stimulus signal that event is issued, color, shape, size, sound including event
Sound, speed, temperature, the status information of frequency.
6. a kind of scene intelligent analysis method based on metropolitan area grade Internet of Things perception data according to claim 4, special
Sign is that the data information of the metropolitan area grade internet of things data layer storage includes:
Boolean type, for storing Boolean type data；
Double type, for storing type real data；
Int type, for storing the data of integer type；
String type, for storing string data；
Datetime type is used to storage time and date data；
Image type, for storing the picture for being less than 8MB size；
Video type, for storing the video data of arbitrary size；
Blob type, for storing other binary data；
Object type, for the expansible object type of storage organization.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
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| CN103810528A (en) * | 2012-11-08 | 2014-05-21 | 无锡津天阳激光电子有限公司 | Internet of Things smart city method and device |
| CN104253724A (en) * | 2014-08-29 | 2014-12-31 | 朱顺利 | Networking method using intelligent network elements as basic network units and network formed by method |
| CN106302683A (en) * | 2016-08-10 | 2017-01-04 | 成都秦川科技发展有限公司 | Smart city system |
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| CN103810528A (en) * | 2012-11-08 | 2014-05-21 | 无锡津天阳激光电子有限公司 | Internet of Things smart city method and device |
| CN104253724A (en) * | 2014-08-29 | 2014-12-31 | 朱顺利 | Networking method using intelligent network elements as basic network units and network formed by method |
| CN106302683A (en) * | 2016-08-10 | 2017-01-04 | 成都秦川科技发展有限公司 | Smart city system |
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