CN109284619A - The region Locating Type edge calculations system and method for heterologous city Internet of Things - Google Patents

Abstract

The present invention relates to the region Locating Type edge calculations system and methods of heterologous city Internet of Things, belong to internet of things field.This method comprises: S1: according to city specific region, GIS information and sensor distribution density and position, by the region division at multiple virtual Internet of Things small grids；S2: each calculating point to which at least one is arranged in the small grid of edge calculations, capture various kinds of sensors data in the small grid, decode it, calculating sifting goes out effective information, and storage, encryption upload to computer installation；S3: being combined into expansion grid for multiple small grids, and the computer installation with much information transmitting-receiving and higher operational capability be arranged, capture administrative calculating point upload information, and classification analysis calculates, and the fusion of heterologous information profound level is generated the non-new information perceived；S4: new information is uploaded to background server and descends into application end.Transform strike slip boundary of the present invention is calculated as the calculating of regional center Locating Type, improves city Internet of Things edge calculations practicability and efficiency.

Description

The region Locating Type edge calculations system and method for heterologous city Internet of Things

Technical field

The invention belongs to internet of things field, are related to a kind of heterologous city Internet of Things edges of regions computing system of Locating Type And method.

Background technique

City, garden, scenic spot, building site, cell, building, means of transportation, river, lake, etc. intelligent management pair The information process- of each related infrastructure proposes very high request.It needs to make full use of technology of Internet of things, to all kinds of relevant rudimentaries Mass data produced by the sensing equipment of facility, is acquired, handles, storing, analyzing, transmitting and the intelligent processes such as solve. To realize " feel, pass, knowing, with " integrated smart city Internet of Things application, certain facility problem, i.e. can be known immediately When confirmation problem point and degree occurs, solve early.The everything of avoiding over all detects with manpower, checked, it is this superfluous to solve Long and inefficient disadvantage.Technology of Internet of things greatly mentions to realize that area equipment facilities information, intensive management provide condition High city management efficiency.

Intelligent, intensive, low-carbon, green, the state of safety or privately owned wisdom region and city are built, needs to realize the region Comprehensive access Internet of Things of public infrastructure, professional service facility.Sensing equipment and access in wisdom region and city are set Standby diversification is main feature of the Internet of Things relative to internet in current and later development.How efficiently and conveniently to connect Sensing layer equipment in Internet of Things is connect, how different types of sensing data is more effectively merged, and calculate more accurate value Information, it is particularly important that the data that bottom is acquired meet service application demand to greatest extent.

As the large-scale promotion in wisdom region and city is built, in the information system management of urban infrastructure, it would be highly desirable to solve Certainly several difficult points that thing network sensing layer field encounters:

1, the volume and diverse problems of region and urban infrastructure sensing equipment

Region (cell in such as private field, garden, scenic spot) and urban infrastructure (such as street lamp, pipe network, road) Intelligence is related to a plurality of types of sensor equipments, internet of things equipment and communication, data fusion and application system；These are passed Sensor is segmented into two major classes.

The first kind be detect certain class urban facilities state it is whether normal, such as well lid sensor, wisdom dustbin sensor, Street lamp fault sensor, parking stall parking sensor etc.；This kind of sensor simple structure, only sensing whether be, being and not being, not Detect his time variable；Its substantial amounts but smaller with edge calculations relationship.Second class is to detect broad sense physical quantity at any time The sensor of variation, such as temperature sensor, strain gauge, strain transducer, magnitude of traffic flow sensor, water flow sensing Device, flow sensor, water level sensor, water pollution sensor, PM2.5 sensor, monitoring camera device etc., though quantity is not so good as The first kind it is more, but there are many type.

Second class sensor Yi Qibu can build position and be divided into two kinds again again: the first is for specific single facility (example Such as bridge or tunnel etc.) sensor special (such as strain transducer, shock sensor, temperature sensor) built of institute's cloth, position Set fixation, length or area also specialization.Another kind is dispersed in the sensor of each not privileged site in city, such as traffic Monitor sensor, level of ground water sensor, the sensor along the setting of rain (dirt) water drainage pipeline, soil moisture content sensor, water body Contaminant sensor etc..

The first sensor has specialized company's installing, acquisition data, analysis information, maintenance because position fixes, function is specific Maintenance, problem is not counting very big.It is speciality platform that acquired data need to be transmitted to specialized company often with internet compared with what can be considered It is analyzed, then analysis gained information transmission is supplied to client (such as government regulator), there are still data for this The problems such as transmission traffic congestion, fault, information are cracked.If can generate point in data by edge calculations is subject to calculation processing, directly It is controlled by government regulation unit, is rather future developing trend.

Second of sensor gradually and is generally installed in each place in city according to the wisdom of urban operating mechanism.One Up to ten thousand of micropolis installing, up to ten million of medium-sized city, the more than one hundred million a sensors in large size city differ.Its brand and supplier are many More, due to lacking Its Relevant Technology Standards, there are larger differences for communication protocol, technical indicator and the functionality of different manufacturers product. In face of the heterogeneous access of different sensing equipments and communication equipment, a kind of object that the data towards extensive information are picked, transmitted is needed Networking middleware, with efficient, the data for acquiring sensing layer equipment in Internet of Things of safety are transferred to each user of application layer.

In addition, the data transmission of city internet of things sensors mostly using various narrowbands or ultra-narrow band (such as Zigbee, LoRa, NB-IoT etc.) running of one of transmission mode, it is unable to intercommunication each other.Most of existing solutions be heterologous sensor respectively Cloud is uploaded to the gateway of oneself and does integrated treatment, generates judgement and decision.Even so, for multifarious Urban operating mechanism, by every profession and trade specialized company be provided with examination after give municipality, subsequent action, maintenance, data are adopted A word used in person's names, information processing etc. are quite numerous and disorderly, lead to the problem of very much.

The present invention proposes " Internet of Things virtual grid system " aiming at the problem that the second class sensor, according to quasi- progress Whole region is divided into Internet of Things grid to administrative area or private field, geographic information by edge calculations, and side length is according to being covered Sensor density, can be between 0.1~3 km, (the open without hindrance principle condition depending on the effective distance of used narrow band communication Up to 3 kms, it is many build object or landform barrier under this distance be greatly reduced).In each grid element center be arranged one calculate with Website is transmitted, existing or following in same grid is packed up increased heterologous sensor, acquisition data on the spot, meter It calculates, filtering, encryption, storage, upload to background server to reselection.And it is with wrong function is detectd, and can detect failure nearby Sensor maintains easily and manages be packaged sensor, also builds and uses conducive to the cloth of big quantity sensor.

2, the transmission of magnanimity sensing data and processing problem

In current environment of internet of things, the main problem that sensing the data obtained faces is: access point is numerous, connection management is multiple Miscellaneous, data volume is big, data sharing demand is strong etc..Locate although everybody directly uploads the data of sensor cloud and do at present Cloud, is regarded as omnipotent solution, actually this is not so by reason.Wherein there are three major issues:

1) cloud computing no doubt provides magnanimity calculating and storage capacity, but its capacity is not infinity, and computing capability is more non- It is infinite strong.Smart city and the more and more more digitisations of intelligence community construction, the single one sensor of data perception layer, such as The camera data per second that may produce up to GB~TB meter, cloud computing and storage load are increasing；Simultaneously because network bandwidth Limited, the problems such as high transmission cost and higher response are delayed, consequence causes that network delay is increasingly severe, cost is acute It rises.Sea caused by network edge device cannot be effectively treated based on the centralized data processing method of cloud computing model in tradition Measure data；Need the solution of innovation.

2) for cloud computing problems faced, the Si Teer Buddhism of Columbia University: New York, United States is awarded (Prof.Stolfo) concept of " mist calculating " was proposed in 2011, Cisco System Co. of the U.S. (Cisco) expanded it in 2012 It promotes；The cloud in the remotest places is drawn the puzzlement for attempting to solve cloud computing to mist is become at one's side.However the concept that mist calculates is still fuzzy , computing capability and data analysis application can be extended to network " edge ", it enables client in local analytics and management by it Data, to obtain real time information.But it is still unclear how to execute mist calculating.

3) even having quite big ratio in the initial data that sensing layer obtains is repetition, the excessive useless data of error.Example Video surveillance such as is established 10 important intersections, main purpose is to do the discipline of traffic data acquisition, traffic violations event Record etc., it is not necessary that all videos obtained are all uploaded to cloud platform, not only occupied information transmitting bandwidth, but also cause memory space unrestrained Take.

The final solution of three above problem is attributed to a bit, is exactly to be produced in data using edge calculations thought Raw first pre-processes on the spot, and necessary data is screened, or even is suitably calculated, then result is sent to cloud processing. Such as computing function is assigned in aforementioned intersection, the valid data such as vehicle flowrate, vehicle, speed are captured with pattern recognition software, And violation event is filtered out, which is uploaded to cloud in a manner of several photos (wherein comprising people, vehicle, licence plate, time etc.) Traffic monitoring server can filter 90% or more " rubbish grade " film shelves that need not be uploaded.

But how efficiently to accomplish edge calculations or mist calculates or a big problem.From existing various documents or Patent is learnt, in terms of the automatic implement of altitude figure and industry internet, for edge calculations put forth effort it is very deep, Gradually implement edge calculations " edge calculations framework 2.0,2017/11, industry internet industry alliance, side in the respectively industrial site Edge calculates industry alliance ".

Itd is proposed in the edge calculations framework an abstract edge calculations node (Edge computing node, It ECN), is that intellectual capital, intelligence system, intelligent gateway etc. have digitlization, networking, intelligent common feature, it is possible to provide net The ICT resource such as network, calculating, storage, with logically unified concept.According to the typical case scene of ECN node, system definition Four class ECN Development Frameworks.Every class Development Framework provides operating system, functional module, the Integrated Development Environment of matching scene Deng.Six class products: embedded controller, free-standing controller, perception terminal, intelligent gateway, side are derived based on this frame Edge distributed network gate, edge distribution formula server.These frameworks have significantly expedited the emergence of the " object based on electric appliances various in one family Networking control " equipment is vigorously opened up.Further expand to the elevator management of upper one hundred houses residential building, public electricity utilization management, The exploitation of the application such as management of the use of water, administration of the prevention and control, waste management and service.These edge calculations nodes have a common spy in fact Property is exactly to have specific edge (industrial workshop, workshop, individual families or a specific building).Even it is vehicle-mounted or The packaged type edge calculations of device with individual are worn on, also there is specific device medium.

However urban operating mechanism monitoring, the city field Nei Gesi for example residential quarters, garden, in terms of, how to implement The network architecture of smart city Internet of Things, how to being dispersed in the heterologous of city magnanimity (in terms of up to a million, more than one hundred million) everywhere Sensor makees edge calculations and mist calculates, and remains at an incubation period at present, there is no mature available solution so far.

The present invention proposes that city is divided into small, big different virtual grid by one, is arranged edge in the respectively small grid Point is calculated, its periphery of management is packaged and, because carrying out heterologous sensor numerous needed for edge calculations, is captured in a small grid Data carry out data decoding and primary Calculation, upload to the edge calculations station in big grid after selecting effective information, again into Row secondary treatment；Finally just it is transmitted to cloud server.The edge calculations that mist is calculated as some specific centers can so be changed；It can be with Help the propulsion of smart city mist networking.

3, how Internet of Things accomplishes that information security is a serious problems in the case where all things on earth can join

Since Internet of Things is applied information produced by the facility in urban operating mechanism, with public character or by local calculation The new information of acquirement, it is necessary to have strict safety, avoid being usurped by unprincipled fellow, attack and alter.The invention proposes letters Cease secure encrypted transmission and firewall solutions.

Summary of the invention

In view of this, being used the purpose of the present invention is to provide the heterologous Internet of Things edges of regions computing system in city and method With solution " all things on earth interconnection, sensor throughout the immanent situation in each corner in city, how to carry out edge calculations? " difficulty, And point station calculates centered on converting edge calculations.

In order to achieve the above objectives, the invention provides the following technical scheme:

A kind of heterologous city Internet of Things edges of regions calculation method of Locating Type, specifically includes the following steps:

S1: divide virtual Internet of Things small grid: by city according to specific region (such as administrative area, residential area, shopping centre, The region in the public and private fields such as private garden scenic spot) divide, referring to GIS information with and particular edge calculate needed for sensor Density of setting and position will need the range that monitors to be divided into multiple virtual Internet of Things small grids, referring to Fig.1,2；

S2: setting calculates point: at the geometric center of virtual Internet of Things small grid for needing to carry out the edge calculations, setting At least one has the edge calculations point of communication, storage and screening function, captures the data of various kinds of sensors acquisition in small grid, And the data of acquisition are computed and are a little decoded into information, it calculates, screening and filtering goes out effective information, and is stored, encrypts upload To computer installation；

S3: setting computer installation: multiple virtual Internet of Things small grids are combined into expansion grid, and in its geometric center At least one computer installation with communication, higher operational capability and store function is set, captures and expands all calculating points in grid The information of upload, sub-category progress depth algorithm analytical calculation realize the profound fusion of variety classes sensor information；

S4: background server (referring to Fig. 3) will be uploaded to by the fused information of computer installation, and by background server platform Assign order-driven application terminal；Computer installation also has the function of the independent decision-making based on information after fusion simultaneously, can pass through interconnection Net (such as 4G, 5G) assigns instruction to the administrative application terminal (referring to Fig. 4) for calculating the administrative facility of point, drives related facility.

Point is calculated to data without sub-category and integration, only obtains sensor data signal, and pass through simple algorithm mistake A large amount of garbages are filtered, selective upload is carried out.

Further, in the step S1, the particular edge calculating refers to public and private field facilities management in cooperation city, or For traffic, safety, environment, health field need and in the computing system of local implementation, including but not limited to: traffic congestion is pre- It surveys and relax slow strategy, underground pipe network operation regulation, river and lake water level forecast, water pollution and horizon prediction, ponding waterlogging is predicted, are sliding Slope and mud-rock flow prediction, geology avalanche prediction, excavation of earthwork prediction, the risk prediction of building site management, large-scale orchard fruit growth Emergency event prediction, regional healthcare Institution Services optimize prediction etc. in monitoring and picking time prediction, safety monitoring.

Further, in the step S1, the virtual Internet of Things small grid shape is divided according to landform, and size is according to administration Division and GIS information carry out classifying rationally；The specific region includes administrative area division, residential area, all kinds of public and private gardens Area or scenic spot etc.；The small grid side length setting range is 0.05~3 km.

Further, in step S2, the calculating point position selection is according to close with the distribution of edge calculations related sensor It spends with position and determines, specific location setting principle is to calculate institute's chained sensors in point to its place virtually Internet of Things small grid Total distance it is most short；The specific steps for calculating point analysis and calculating are as follows:

1) data for the all-links sensor acquisition that point converges in its administrative virtual Internet of Things small grid are calculated；

2) sensing data by step 1) convergence decodes, and obtains perception information；

3) calculate analytical procedure 2) in the perception information that obtains of decoding, filter out it is effective calculate information, and it is stored, Encryption is uploaded to the computer installation expanded in grid.

Further, in step S3, the expansion sizing grid is administrative according to point density of setting, geographical location and place is calculated Depending on area；The expansion side length of element setting range is 1~8 km.

The computer installation carries out the specific steps of information fusion calculation are as follows:

1) all effective informations calculated after point screening and filtering in computer installation convergence region within the jurisdiction；

2) by the information that the calculating point converged in step 1) uploads carry out classification processing with merge；

3) information fused in step 2) stored, encrypt and is transmitted to background server or application terminal.

Further, the calculating point can detect mistake, timely discovery sensor failure to the sensor that it is linked；Each computer installation It assigns nearby and drives action command to the driver of nearly application terminal, so that whole system is real in time according to the fuse information of computer installation Apply corresponding behave, such as manipulation valve switch.

Further, any one computer installation can calculate point, computer installation and background server with other and form the network interconnection, Realize the shared of transmitting and information of the data from lower layer to upper layer.

Further, as shown in Fig. 1,2,5,6, which includes:

(1) virtual object networking mesh is divided according to administrative region and GIS information, including small grid and big grid；

(2) layer system, various kinds of sensors of the perception layer system by scattering device in virtual grid are perceived, or is depended on In the sensor and data transmission link composition that calculate point installing in grid；The sensing data is all transmitted in grid Calculate point；

(3) the calculating point in each virtual small grid is set, includes multiple pluggable information receiving modules (Information receiving module, IRM), things-internet gateway (IoT Gateways), coding/decoding module (Ecoder Decoder module, EDM), information sifting module (Information filtering module, IFTM), encryption and decryption mould Block (Encryption decryption module, EDM), memory module (Storage module, SM) and information send mould Block (Information sending module, ISM) is required according to the data category and computing capability for calculating point processing and is selected With assembling；

The calculating point has the function of communication transfer, storage and Preliminary calculation and analysis, captures small net where the calculating point The data of various sensors acquisition in lattice generate corresponding heat transfer agent, and according to calculating point after Noise reducing of data decoding Interior pre-set information filtering standard filters out garbage, filters out effective information, is stored, and encrypts and be uploaded to one The computer installation of layer；

The calculating point can be connect with the driver of proximity application terminal, receive the instruction of upper layer computer installation to drive application The corresponding operating of terminal；

(4) computer installation in each virtual big grid, including multiple pluggable information receiving modules, encoding and decoding mould are set Block, information Fusion Module (Information fusion module, IFSM), encryption/decryption module, memory module and information are sent Module requires to select assembling according to each computer installation computing capability；

The computer installation has communication transfer and computing function, all calculating points in big grid where capturing the computer installation Then effective information carries out classification processing to it, extract the fuse information of each classification data；

(5) background server system, in a certain range of Internet of Things virtual grid system of unified supervision all calculating points and Computer installation provides software service for each information processing for calculating point and computer installation；Also it supervises and is respectively calculated in Internet of Things grid system Point operates fitness, and carries out necessary amendment；Confirmed instruction passes through again reaches application end under calculating point and computer installation Driver；

(6) supportive system, including power supply unit module and watertightness Electric Appliance Cabinet module, by support calculate point and based on Calculate the running at station.

Further, the information transmission calculated between the sensor that point is linked with it, using wire transmission or wirelessly Narrow band transmission；Described information calculated between point and its upper layer computer installation or other calculating points are transmitted, and wireless narrowband or nothing are used Line broadband transmission；Information transmission between the computer installation and other computer installations or background server, uses wireless broadband transmission.

Further, plurality of wireless networks transceiver module (such as LoRA module, Zigbee are set inside the information receiving module Module, NB-IoT module etc.), data or calculating point upload information are uploaded from heterogeneous networks sensor for receiving；

The things-internet gateway carries out dynamic adaptation and control to sensor different types of in sensing layer, realizes different associations Identification conversion between view, wherein each gateway configures independent ID；Each sensor in the sensing layer also configures independence ID, the sensor both deposited pass through daemon software configure；

The coding/decoding module, for will by the sensor after protocol adaptation network element identifying processing acquire data decoding and To the coding for being issued to client terminal control instruction；

Decoded information is carried out preliminary classification filtering using algorithm by the information sifting module, filters out effective letter Breath；

The encryption/decryption module is used for the effective information after the screening of information sifting module or to the processing of information Fusion Module Information afterwards carries out compression encryption and to downlink reception data deciphering；

The information sending module is used to for the encrypted information of encrypted module to be uploaded to computer installation or backstage takes device system System；

The information Fusion Module uses custom algorithm, will carry out at classification by the decoded information of coding/decoding module Reason, extracts the fuse information of each classification data.

Further, mutual turn of the selection assembling realization of module functionally can be passed through between the calculating and computer installation Change；Such as: a calculating point can also be expanded to its module number and computing function when installing place is suitable becomes a calculating It stands.

Calculating point need not strictly distinguish with computer installation, they have calculating and information transfer capability, only base In the information layered processing and cost the considerations of and it is respectively set.For the number of sensors mistake of sensing layer in same virtual grid In huge, single one calculates point and is difficult to the case where bearing, and can solve in two ways: (1) adding and calculate point and (be equal to Former grid is subdivided)；Or (2) directly expand the single calculating for calculating point and transmittability as computer installation.In addition, Computer installation can also be upgraded by being located at this calculating point extended function by expanding macroreticular computer installation.

The transmission mode of information sending module of the present invention uses frequency division multiplex, so that adjacent frequency band will not phase It is mutually overlapped, each road signal of different frequency just will not interfere with each other in such transmission process, and can be easy in receiving end It is using bandpass filter that each road signal is separated again, being restored to the branch situation before multiplexing ensure that and not interfere with each other Most important reason be exactly that certain protection interval is remained between carrier frequency.

The beneficial effects of the present invention are:

(1) city is divided into the different Internet of Things virtual grid of size, shape by the present invention, will be distributed over quantity pole everywhere Be packaged for huge discrete facility sensor according to the edge calculations subregion of quasi- progress, be a kind of smart city (containing private garden, Scenic spot, cell, even building site, mining area etc.) construction new approach.

(2) setting calculates point in small virtual grid, computer installation is arranged in big virtual grid；The former local can count According to be decoded into physical message, filter out effective information, encryption store and upload to computer installation.The information for calculating point is subject to by the latter Classification, widely integrating same type data is analyzed application, and heterologous information can be calculated again to fusion, generates new information, Result is set to have more the value of decision.All the sensors data are all uploaded directly into cloud platform compared to tradition, it can be substantially The transmission quantity of primary data is reduced, information congestion and storage pressure are alleviated.

(3) sensor of substantial amounts can subregion detect mistake, repair maintenance.

(4) it is calculated compared to mist, the present invention proposes that Locating Type meter is arranged according to geography information, administrative block, private block Point and computer installation are calculated, network edge is clearly converted to the edge calculations center of Locating Type Internet of Things, specifies computer installation point It sets.

(5) compared to general edge calculations, each edge is converged to calculating point, computer installation one by one, makes to count by the present invention The distribution of calculation is more made clear, while the distribution that will calculate power progress level, in addition to reducing cost, also at mitigation conventional terminal data Pressure is managed, data-handling efficiency is improved, expand storage capacity and strengthens network security.

(6) reason for proposing in advanced country and gradually implementing compared to past cloud computing, edge calculations, mist calculating etc. It reads, Internet of Things virtual grid proposed by the present invention, which frees calculating position from cloud and mist, is subject to specialization, in infrastructure Backward developing country is easier to implement relatively.

Detailed description of the invention

In order to keep the purpose of the present invention, technical scheme and beneficial effects clearer, the present invention provides following attached drawing and carries out Illustrate:

Fig. 1 is that Internet of Things virtual grid system of the present invention divides schematic diagram；

Fig. 2 is the grid virtual partial enlargement diagram of the lower right corner Fig. 1 selected areas；

Fig. 3 is the first block schematic illustration of system of the present invention；

Fig. 4 is second of block schematic illustration of system of the present invention；

Fig. 5 is the integrated stand composition of system of the present invention；

Fig. 6 is internal system construction module connection figure of the present invention.

Specific embodiment

Below in conjunction with attached drawing, a preferred embodiment of the present invention will be described in detail.

Fig. 1 is Internet of Things virtual grid system structure diagram of the present invention, and mark A, B, C are indicated in grid in Fig. 1 Needed for there is no sensor or the non-category edge calculations of sensor, not set calculating point；Fig. 2 is the net of the lower right corner Fig. 1 selected areas Lattice virtualize partial enlargement diagram, show the big grid being made of multiple small virtual grids；As shown in Fig. 1~2, institute of the present invention The Internet of Things virtual grid system stated, main speciality-narrowband, the Near Field Communication for utilizing Internet of Things provide in city according to geographical News and specific region (such as administrative area, residential area, shopping centre, private garden scenic spot region), (avoid lake referring to geographic information Pool, hill etc.) and edge calculations needed for sensor density and distribution, by one invisible Internet of Things virtual net of the region division Lattice.This grid is divided into small grid and big grid again, at least one is arranged in small grid and calculates point, is arranged at least in big grid One computer installation；But as shown in Figure 1, insufficient due to not having sensor or number of sensors in tri- small grids of A, B, C, or it is not necessarily to Edge calculations calculate point without being arranged.

Calculating point has the function of that protocol adaptation conversion, data are decoded into heat transfer agent, information sifting, information transmission etc., can The data for capturing the sensor of all-links in the small grid are decoded, filter out effective information, storage, encrypted transmission.

Computer installation obtains different information, such as Agricultural Information, traffic information, water conservancy information, environmental protection from the classification of each calculating point Information ... etc., the calculating point in a non-small grid can be covered, and need further classification analysis to calculate (i.e. data fusion), Further filter information and fuse information are obtained in real time, for needed for decision-making management.

The all non-definite value of side length of big small grid, shape is also because landform, administrative area, cell, garden etc. are without specific.Small grid It can be changed according to sensor density, general foundation data transmission capabilities side length is between 0.05~3 km, and preferably 0.1~1,000 Rice；Macroreticular side length is in 1~8 kilometer range, preferably 3~5 kms.

It is little to calculate functions, the physics sizes such as the responsible sensing data acquisition of point, decoding, comparison screening, information transmission, has At 0.05~0.5 cubic metre for body, preferably 0.1~0.3 cubic metre；Its computing capability and general portable industrial computer phase When.

Computer installation need to do relatively large information analysis and high-order calculates, and physics size is larger, specifically vertical 0.2~2 Within square rice, preferably 0.3~1 cubic metre；Its computing capability is equal to a small-sized Platform Server.

As shown in figure 5, the region Locating Type edge calculations point of Internet of Things of the present invention or the holonomic system frame of computer installation Composition, the system specifically include: perception layer system, computing system (including calculating point and computer installation), background server system, branch Helping property system；Fig. 6 is the region Locating Type edge calculations point of Internet of Things of the present invention or the internal structure module map of computer installation.

1, the selection combination of heterologous sensor

, such as wind-force wind speed various for sensor used in edge calculations for the monitoring of region facility, its data Sensor, precipitation rain fall sensor, temperature sensor, microparticle size and density sensor, flow rate of water flow flow sensor, water level liquid Face height sensor, water quality sensor, soil-geological physical property sensor, soil chemical property sensor, camera, laser Radar sensor, illuminance transducer, infrared sensor, spectrophotometric spectra sensor, magnetic sensor, pollution gas sensing Device, water body chemical sensor, electrochemical sensor, acoustic sensor etc.；Each sensor can also be subdivided into several groups, Therefore there are many type, signal is different.The present invention in local grid, is being arranged where Internet of Things virtual grid system and is calculating point, will Heterologous sensor needed for edge calculations is divided under its management, and acquisition data does various calculating (information filtering, encryption), again Effective information is selected to upload.Hash can so be greatly decreased to upload, be effectively improved the memory space of Cloud Server, reduce because Thousands of a sensors upload mass data simultaneously, the judgement delay or accidentally wrong that may cause.

Each facility of quasi- monitoring is arranged in nearby in the Internet of Things virtual grid system, and it is each that city is generally arranged in Place.The sensor of packing can utilize wire transmission, or (such as use remote-terminal unit: RTU), will be in data with being wirelessly transferred Pass to Internet of Things grid system.

Centered on the pact distance for having many facility sensors is the grid, specific radius size is depended on:

1) used transmission mode；Such as within best 0.1 km of wire transmission；Wireless transmission, which then regards, uses transmission skill Art (such as Zigbee, Lora, NB-IoT, SigFox, internet etc.), the quantity and size of barrier, can 0.5~3 km it Between do appropriate selection in engineering；

2) the number of sensors that is selected；Theoretically can be unrestricted, but with set calculating and agreement in practice Depending on converting system processing capacity；One big and valuableness computing system can no doubt be packaged millions of or more sensings simultaneously Device, so it is obviously uneconomical for a grid to build cost for it；Otherwise a simple multi-core computing system also has solid Determine cost, is still non-remunerative if being only packaged 30~50 sensors.Engineering construction in practice, is imitated with optimum cost Benefit selects best number of sensors and computing system to arrange in pairs or groups.

2, computing system of the point with computer installation is calculated

1) computing system has the data for receiving heterogeneous networks transmission, protocol identification conversion function

Receive capabilities: setting plurality of wireless networks receiving module inside the information receiving module (such as LoRA module, Zigbee module, NB-IoT module etc.), data or calculating point upload information are uploaded from heterogeneous networks sensor for receiving.

Identification conversion function: to use different manufacturers provide different agreement sensor device data acquisition when, lead to It crosses inside calculating point and things-internet gateway is set to realize the identification and conversion between different communication protocol.The things-internet gateway Function includes but is not limited to:

1. solving sensing layer isomerism fusion aspect, this system possesses the function of multi-standard intercommunication access, can merge existing The difference of data format is generated for sensing technology different agreement or using the difference of same protocol data format.Such as using General Internet of Things communication protocol (General networking communication protocol, GNCP), makes distinct device Between data shared, that is, interconnect, the system general character of similar internet of things equipment manufacturer can be integrated, and carry out weight New function definition, thus reach the information sharing between not homologous ray, reading data and can be controlled data write-in, control etc. The communication protocol of function.

2. in terms of accessing scalability, when having new protocol type producer sensor access, gateway can be from driving The corresponding driving of server downloading, makes the agreement normal operation of sensor；When not using the sensor of certain protocol type, Corresponding driving, i.e. multi-protocols dynamic adaptation process can also be deactivated.

3. user can choose the driving of needs to be started in terms of control, gateway has driving condition memory function.? Data upload and access aspect, after configuration of IP and port parameter, upload by the way that the connection-oriented mode of TCP is periodically automatic Data.

4. each gateway can configure independent ID in accuracy and secure context, data storage server can basis ID distinguishes multiple gateways；Each sensor also has independent Sensor_ID, and gateway has intelligent data real time alarm function, Corresponding sensor can be quickly found out by position or Sensor_ID.

Multi-protocols dynamic adaptation can realize the installation of standalone module in the case where not updating entire program, run, unload It carries, update, adapt it to sensing layer data acquisition module and dynamically plug, the access of acquisition layer sensor is extended and to Internet of Things What the access of net gateway data became is easier.Meanwhile it also has energy automatic identification or the manually ability of addition corresponding module.

2) computing system has data processing function, by multiple information processor modules and server info module institute Composition；Its function mode are as follows:

1. assigning data transfer instruction to each sensor, or the data of particular sensor real-time transmission are captured, through noise reduction, solution Corresponding preliminary information is generated after code；

It encrypts and stores 2. decoded information is compressed；

3. filtering preliminary information, selects effective information and be subject to algorithm process；Sorting algorithm can be selected in data screening, cluster is calculated Method, association algorithm etc..Sorting algorithm is by finding out the difference between the same alike result of common things i.e. different things.Clustering algorithm It is that will there is the things of same characteristic features to be grouped.Association algorithm is for relationship or dependence between two things of expression.

4. will selectively calculate data (i.e. fused data) uploads to background server；

5. encrypted command information is descended into application end, make various functional applications.

3) computing system has data fusion ability (i.e. Internet of Things information merges), utilizes set up multiple processors Powerful calculating ability, to multiple sensors obtain monitoring information, automatically analyzed, integrated under certain algorithm, with produce Raw corresponding raw information；Then data screening is subject to each primary data, data fusion is realized by crossing operation, reaches pre- Survey decision making function.Such as: it the following is some algorithm that computing system uses the screening of field data, crossing operation treatment process (including but is not limited to algorithm listed below):

1. information superposition, such as cumulative precipitation, integrated flux；

2. information is subtracted each other, as reduced static background picture element in image file, retain the picture element for changing part only to save Save memory space；

3. information obtains rate of change to time diffusion, (drop) warm rate, rainfall is risen as obtained after temperature or rainfall differential Rate of change etc.；

4. information obtains total variable in certain section of time section to time integral, as obtained total flowing water after flow rate integral Amount；

It is stretched 5. generate instantaneity statistical form and renew at any time backward；

It is stretched 6. generate instantaneity statistical chart and renew at any time backward；

7. the threshold values according to input is screened information, is screened；

8. doing analysis examination etc. to institute's pick-up image according to graphics process rule.

9. two or more aforementioned heat transfer agent calculates information depth fusion, new information is generated；This new information Being can not be by sensor perception, extremely useful information.

1. 8. it is to commonly use conventional method that above-mentioned algorithm arrives, and is not required to especially extend explanation.9. information depth blending algorithm its Reality is intelligentized basis and shows that in the industry cycle mostly is the self-developing application in a manner of trade secret by all trades and professions, respectively the row The information of industry merges all based on the information of the sector, extraneous unknown.Especially emphasize this in edge calculations point of the present invention station Algorithm and its versatility rule extend it at this and disclose, and to be allowed to more be widely popularized utilization, promote city Internet of Things Intelligence.

Table one, which is illustrated, obtains data by sensor, uploads to calculating point and is decoded into physical message, uploads to after screening Each single effective information of computer installation, and respectively information encoding of imparting for convenience of description.Table two is shown different lists The mode and generated new information that one information merges into each other；These new informations show can not be by sensor procurer.

Table one by sensor obtain data be computed each single effective information after being a little decoded into physical message, screening and its Number

Table two illustrates the mode that different single piece of information merge into each other and generated new information

The information that sensor can sense is thousands of, up to ten thousand kinds, can not enumerate；But by table one, table two citing in can Rule to learn information fusion is as follows:

1) choose two or more related but different sensor and perceive decoded effective information, herein respectively with Both Ma, Mb are representative；

2) respectively change curve (Ma is to t, Mb to t) will be obtained the single piece of information to the time (t) respectively, when necessary differential or product / obtain change rate in the variation slope or certain time section at certain time point；It two compares again, obtain new information；

3) Ma to Mb (Mb is pricinpal variable) or Mb to Ma (Ma is pricinpal variable) obtain change curve, when necessary differential or Product

/；

4) it can be added, subtract each other when Ma, Mb unit are identical, being divided by (at no unit divisor), obtaining new information；

5) other necessary mathematical measures, such as Fourier transform are taken, Ma, Mb signal are existed respectivelyTime domain(or airspace, Phase region) andFrequency domainBetween convert after compare；One of typical application examples is used in the analysis of sonic sensor data, can will sense The vocal print that device is indexed to does Fourier transform, compares the sound wave speciality in frequency domain or phase region, selects characteristic frequency spectrum and be used.It answers The two of use-case are in image analysis, by the image of spatial domain through Fourier transform at the number that can be filtered in a frequency domain Spectrum, it is not only quick and convenient but also can quantify.

To can be carried out above-mentioned algorithm function, the computing system includes at least information receiving module, information sending module, each Type processor module and its operating system；Such as calculating speed is often at the multi-core central processing unit of GHz or more (CPU), figure Manage the various calculator (logic computing units of device (GPU), image processor (ISP), digital signal processor (DSP) etc. ALU), cache memory (Cache), high capacity (such as tens GB are to several TB or more) memory storage etc.；And it is attached The functional modules such as the various input and output (I/O), the api interface that belong to.

The computing system is all built containing correlation needed for operating system, necessary built-in embedding assembly software, algorithm Mould, and big data and software for calculation by back-office support can be obtained at any time according to need, such as PaaS, SaaS, DaaS, open source software Or close source software etc..The embedded edge calculations software of the computing system, includes the software of forecast and decision function；If any correlation Commercial cloud software it is available, edge calculations station downloads from cloud use according to demand.

The core processor for calculating subsystem is another in addition to making primary data produced by data conversion, calculating information Critical function is data acquisition, information selection, information storage, information encryption, information transmission to share other grids or backstage Cloud Server.

System of the present invention increases information encryption (such as link encryption, node encrytion, End to End Encryption), right Information encryption guarantees network data transmission safety, thus greatly improves the information security of this Internet of Things grid system.

For the computing system according to setting threshold values, whether it is effective information that primary data can be judged automatically, and will only be had Effect information is uploaded to background server, can reduce background server and fill up data or information useless.The system has note simultaneously Historical data information function is recorded, adjusts and wants as the inquiry of top service device；Further, it is also possible to the interruption of communication is automatically detected, and Data and primary, calculating information preservation most effective can be utilized into communication network into memory immediately.

The computing system is with active information physical system (Cyber-Physical Systems, CPS) grid and mutually The combination of networking mesh, realizes complete Internet protocol, information transmitting between Internet of Things, internet of realizing that nothing serious, intercommunication, Interconnection and interoperability.

3, the actuator of backstage and application end manipulates

The background system of one distal end, can be Cloud Server, as this Internet of Things grid and other Internet of Things grids Upper layer manipulate server, except to this Internet of Things grid provide big data, various Integrated Simulation management in addition to, also supervise multiple objects The prediction of networking mesh system can do last screening and resolution with the fitness of decision when necessary.

4, support property system

The support property system is made of data transmit-receive module, power module and watertightness electrical cabinet.

1) data transmit-receive module

A. layer system is perceived to the data transmit-receive between computing system

Data transmitter-receiver set set on each sensor can be communicated with wired and wireless transmission.

Wireless transmission can be remote selected from narrowband short range, low-bandwidth remote, broadband short range, broadband according to size of data and transmission range One of journey, low-power wide area network.The narrowband short-range transmission may be selected from but not limited to one of following manner: LoRA, Zigbee, SigFox, UWB, IrDA etc.；The low-bandwidth remote is optional but is not limited to NB-IoT, the broadband transmission system selected from but not limited to following One of mode: Wifi, WIMAX, GPRS, 3G, 4G, 4GLTE, 5G etc..Low-power wide area network may be selected from but not limited to LoRa, SigFox, NB-IoT etc..

A plurality of heterologous sensory perceptual systems can also be used wire transmission mode and the data of acquirement uploaded to grid system, and can The instruction operation of the grid system is received, that is, starts transmission, define transfer rate, or stop transmission with energy saving；This has Line transmission can be selected from following one: Ethernet route, RS485 and fiber broadband.

Visible light communicator also can be used in data transmission device set on each sensor, by the original number of perceptron acquirement High frequency, hyperfrequency visible light mode accordingly, are transferred to the corresponding receiver of grid system.And it can instruct and transport according to grid system Row；The Wireless Transmitter transmission speed of this perception subsystem is greater than 1Mbit/s.

Set on the data transmitter-receiver set of each sensor, it is necessary to and condition allow when, microwave communication also can be used Or satellite downloading or the upload communication device of such as big-dipper satellite.

B. computing system is transmitted to the information between background server or foreground

A plurality of facility drivers manipulated by this grid system, may be selected from but not limited at least two aftermentioned actuators Combination: display driver, traffic lights timing control driver, trackside warning system driver, electromagnetic valve switch Driver, the warning information for alerting relevant departments personnel etc..The grid system can use aforementioned wire transmission or various reliable nothings Line is transmitted to monitoring background transfer information.

2) power supply module

To provide power to computing system, necessary sensor and necessary controlled end actuator, a power supply is needed Supply system.The power supply unit power can be between 50 to 150 watts.

The power system input terminal can be alternating current, can also supply selected from but not limited to one of following green power generations mode Electricity: wind power generation, generating power by water current, solar power generation, shock energy power generation, triboelectricity, changeable type battery, it is commercial power charged it Locating Type battery.

There are many electric source modes, including direct current, alternating current or the arteries and veins of 3~48V of voltage for the power system output end Rush the output of formula power supply.

3) watertightness Electric Appliance Cabinet module

For computing system, power system and a plurality of sensing systems that can be accommodated into are accommodated in one It rises, needs a watertightness Electric Appliance Cabinet, weather-proof degree need to reach at least 54 grades of IP or more.This watertightness Electric Appliance Cabinet can be Single cabinet is also possible to a plurality of cabinets combined.

The watertightness Electric Appliance Cabinet material is selected from but not limited to the manufacture of one of materials described below: light metal alloy, stainless steel, modeling Steel or combinations thereof；

The watertightness Electric Appliance Cabinet useable holder securely below roadside buildings beyond the region of objective existence edge eminence, lamppost, road surface direction board, On camera shooting headpin, road door frame；It may also placed in the airtight ground down space with watertightness and installing communication antenna.

The a plurality of sensors being packaged are located at mostly on each monitor and control facility, a small number of such as meteorological sensor, image sensor, electricity Source module etc. can be placed on electrical cabinet, or be put into the Electric Appliance Cabinet.

Finally, it is stated that preferred embodiment above is only used to illustrate the technical scheme of the present invention and not to limit it, although logical It crosses above preferred embodiment the present invention is described in detail, however, those skilled in the art should understand that, can be Various changes are made to it in form and in details, without departing from claims of the present invention limited range.

Claims (10)

1. a kind of region Locating Type edge calculations method of heterologous city Internet of Things, which is characterized in that this method specifically include with Lower step:

S1: it divides virtual Internet of Things small grid: calculating required pass according to specific region, GIS information and the quasi- particular edge that carries out The whole region that need to carry out edge calculations is divided into multiple virtual Internet of Things small grids by the density of setting of sensor and position；

S2: setting edge calculations point: each it is necessary at the geometric center of the virtual Internet of Things small grid of edge calculations, setting At least one Locating Type calculates point, the function having are as follows: Noise reducing of data, decoding, calculating, screening, storage also at least have narrow Band communication capacity；It calculates point and captures linked various kinds of sensors data in the small grid, which is computed a noise reduction and is decoded into Physical message, then calculate according to setting threshold values, filter out effective information, it stores and encrypts and upload to computer installation；

S3: setting edge calculations station: virtual Internet of Things small grid described in multiple S1 is combined into expansion grid, and in its geometry At least one Locating Type computer installation with communication, higher operational capability and store function is arranged in the heart, captures and expands All information for calculating point and uploading, sub-category progress depth algorithm analytical calculation realize variety classes sensor information in grid Profound fusion；

S4: will be uploaded to background server by the fused information of computer installation, and be assigned to answering for the administrative calculating administrative facility of point With terminal, related facility is driven.

2. the region Locating Type edge calculations method of heterologous city Internet of Things according to claim 1, which is characterized in that institute It states in step S1, the virtual Internet of Things small grid shape is divided according to landform, and size is according to specific region and GIS information and side Sensor density of setting needed for edge calculates and position carry out classifying rationally；

The specific region includes but is not limited to administrative area division, residential area, all kinds of public and private gardens or scenic spot；

The particular edge calculating refers to public and private field facilities management in cooperation city, or is directed to traffic, safety, environment, health Field is needed in the computing system of local implementation, and including but not limited to: traffic congestion prediction is transported with mitigation strategy, underground pipe network Row control, river and lake water level forecast, water pollution and horizon prediction, the prediction of ponding waterlogging, landslide and mud-rock flow prediction, geology avalanche Prediction, excavation of earthwork prediction, the risk prediction of building site management, large-scale orchard fruit growth monitoring and picking time prediction, security protection prison Emergency event prediction, regional healthcare Institution Services optimize prediction in control；

The small grid side length setting range is 0.05~3 km.

3. the region Locating Type edge calculations method of heterologous city Internet of Things according to claim 1, which is characterized in that step In rapid S2, the calculating point position selection is determined according to the distribution density of sensor and position, specific location setting principle Be calculate institute's chained sensors in point to Internet of Things small grid virtual where it total distance it is most short；

The specific steps for calculating point analysis and calculating are as follows:

1) it calculates point and links all sensors needed by edge calculations in its administrative virtual small grid, acquire data；

2) sensing data by step 1) acquisition decodes, and obtains perception information；

3) calculate analytical procedure 2) in the perception information that obtains of decoding, filter out effective information according to threshold values and calculated, and It is stored, encrypts the computer installation for being uploaded to and expanding in grid.

4. the region Locating Type edge calculations method of heterologous city Internet of Things according to claim 1, which is characterized in that step In rapid S3, depending on the expansion sizing grid is according to a calculating point density of setting, geographical location and place administrative area；The expansion net It is 1~8 km that range, which is arranged, in lattice side length；

The computer installation carries out the specific steps of information fusion calculation are as follows:

1) all effective informations for calculating point screening and calculating information in computer installation convergence region within the jurisdiction；

2) information that the calculating point converged in step 1) uploads is subjected to classification processing, and makees heterogeneous information depth integration；

3) information fused in step 2) stored, encrypt and is transmitted to background server；

4) information fused in step 2) stored, encrypt and is transmitted to application terminal.

5. the region Locating Type edge calculations method of heterologous city Internet of Things according to claim 1, which is characterized in that institute Mistake, timely discovery sensor failure can be detectd to the sensor that it is linked by stating calculating point；Each computer installation assigns driving nearby and makees to refer to Enable makes whole system take corresponding measure in time according to the fuse information of computer installation to the associated actuators in its region within the jurisdiction.

6. the region Locating Type edge calculations method of heterologous city Internet of Things according to claim 1, which is characterized in that appoint What computer installation can calculate points, computer installation and background server with other and form the network interconnection, realize data lower layer and upper Bi-directional and information between layer it is shared.

7. a kind of region Locating Type edge calculations system of heterologous city Internet of Things, which is characterized in that the system includes:

(1) virtual object networking mesh, according to administrative region, GIS information divide and edge calculations needed for sensor density of setting, Including small grid and big grid；

(2) perceive layer system, the perception layer system by scattering device in virtual grid facility or river and lake water conservancy hillside it is each Class sensor, or the sensor and data transmission link composition for calculating point installing are depended in grid；The sensing data The calculating point being all sent in grid；

(3) the calculating point in each virtual small grid is set, includes multiple pluggable information receiving modules (Information receiving module, IRM), things-internet gateway (IoT Gateways), coding/decoding module (Coder Decoder module, CDM), information sifting module (Information filtering module, IFTM), encryption and decryption mould Block (Encryption decryption module, EDM), memory module (Storage module, SM) and information send mould Block (Information sending module, ISM) is required according to the data category and computing capability for calculating point processing and is selected With assembling；

The calculating point has the function of communication transfer, storage and Preliminary calculation and analysis, where capturing the calculating point in small grid The data of various sensors acquisition generate corresponding heat transfer agent after Noise reducing of data decoding, and it is pre- in point according to calculating The filter criteria threshold values being first arranged filters out garbage, filters out effective information, is stored, and encrypts and be uploaded to one layer Computer installation；

Between the calculating point and sensor and computer installation based on narrow band transmission, additional broadband transmittability when necessary；

The calculating point can be connect with the driver of proximity application terminal, receive the instruction of upper layer computer installation to drive application terminal Corresponding operating；

(4) computer installation in each virtual big grid is set, including multiple pluggable information receiving modules, coding/decoding module, Information Fusion Module (Information fusion module, IFSM), encryption/decryption module, memory module and information send mould Block requires to select assembling according to each computer installation computing capability；

The computer installation has a variety of communication transfer modes and the computing function more powerful than calculating point, captures computer installation place All effective informations for calculating point, classification processing is then carried out to it, each heterogeneous information is integrated and is subject to depth integration in big grid；

(5) background server system all calculating points and calculates in a certain range of Internet of Things virtual grid system of unified supervision It stands, provides software service for each information processing for calculating point and computer installation；Also it supervises and respectively calculates point fortune in Internet of Things grid system That makees is fitness, and carries out necessary amendment；Confirmed instruction reaches the drive of application end by calculating again under point and computer installation Dynamic device；

(6) supportive system, including power supply unit module and watertightness Electric Appliance Cabinet module calculate point and computer installation for supporting Setting and running.

8. the region Locating Type edge calculations system of heterologous city Internet of Things according to claim 7, which is characterized in that

The information transmission calculated between the sensor that point is linked with it, uses wire transmission or wireless narrow band transmission；

Described information calculated between point and its upper layer computer installation or other calculating points are transmitted, and wireless narrowband or WiMAX are used Transmission；

Information transmission between the computer installation and other computer installations or background server, uses wireless broadband transmission.

9. the region Locating Type edge calculations system of heterologous city Internet of Things according to claim 7, which is characterized in that

Plurality of wireless networks receiving module is set inside the information receiving module, comes from heterogeneous networks sensor for receiving It passes data or calculates point upload information；

The things-internet gateway carries out dynamic adaptation and control to sensor different types of in sensing layer, realize different agreement it Between identification conversion, wherein each gateway configures independent ID；Each sensor in the sensing layer also configures independent ID, Both the sensor deposited is configured by daemon software；

The coding/decoding module decodes and under for that will acquire data by the sensor after protocol adaptation network element identifying processing It is dealt into client terminal data encryption；

Decoded information is carried out preliminary classification filtering using algorithm by the information sifting module, filters out effective information；

The encryption/decryption module be used for information sifting module screening after effective information or to information Fusion Module, treated Information carries out compression encryption and the decryption to downlink reception data；

The information sending module takes device system for that will be uploaded to computer installation or backstage through the encrypted information of encryption/decryption module；

The information Fusion Module uses custom algorithm, and classification processing will be carried out by the decoded information of coding/decoding module, whole Close each heterogeneous information and be subject to depth integration, with generate it is non-can sensor perception new information.

10. the region Locating Type edge calculations system of heterologous city Internet of Things according to claim 9, which is characterized in that Described calculate can be by selection assembling realization the mutually converting functionally of module between point and computer installation.