CN108667924A - A kind of gateway device method for building up that edge calculations service is provided - Google Patents
A kind of gateway device method for building up that edge calculations service is provided Download PDFInfo
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- CN108667924A CN108667924A CN201810419285.0A CN201810419285A CN108667924A CN 108667924 A CN108667924 A CN 108667924A CN 201810419285 A CN201810419285 A CN 201810419285A CN 108667924 A CN108667924 A CN 108667924A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/66—Arrangements for connecting between networks having differing types of switching systems, e.g. gateways
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L61/00—Network arrangements, protocols or services for addressing or naming
- H04L61/45—Network directories; Name-to-address mapping
- H04L61/4505—Network directories; Name-to-address mapping using standardised directories; using standardised directory access protocols
- H04L61/4511—Network directories; Name-to-address mapping using standardised directories; using standardised directory access protocols using domain name system [DNS]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L61/00—Network arrangements, protocols or services for addressing or naming
- H04L61/50—Address allocation
- H04L61/5007—Internet protocol [IP] addresses
- H04L61/5014—Internet protocol [IP] addresses using dynamic host configuration protocol [DHCP] or bootstrap protocol [BOOTP]
Abstract
It is a kind of provide edge calculations service gateway device method for building up belong to technology of Internet of things and application field.According to the Raspberry Pi characteristics of itself, in conjunction with the characteristics of Home Assistant systems itself, wireless router module, data analysis module and device management module are built in common Raspberry Pi, it is provided the gateway device of edge calculations service, realizes router feature, data analysis function, equipment Management Function.Wireless router module and can communicate for realizing the function of surfing the Net of IOT equipment with Cloud Server center, other equipment terminal in the Raspberry Pi；Data analysis mould collects the data that IOT equipment generates, and processing is analyzed it before data arrive at cloud center；Device management module realization makes corresponding equipment control response to sensing data.The present invention not only has the router of narrow sense, while assuming responsibility for providing the task of service for edge calculations, disclosure satisfy that the requirement of the following things-internet gateway equipment development.
Description
Technical field
The present invention relates to it is a kind of provide edge calculations service gateway device method for building up, belong to technology of Internet of things and
Application field.
Background technology
The year two thousand thirty is expected, global mobile terminal connection quantity will be close to 18,000,000,000, and wherein China is up to 3,000,000,000；And it is complete
The internet of things equipment connection quantity of ball increases even more surprising, it is contemplated that the year two thousand thirty, global internet of things equipment connection quantity will be more than 1,000
Hundred million, wherein the internet of things equipment connection quantity of China can be more than 20,000,000,000.The IOT equipment of present magnanimity is stored in cloud service center
On, user interacts the transmission rate for needing high speed with cloud center in real time, can be caused in this way to network in hot spot region huge
Flow pressure；And the business of high real-time needs the low delay of end-to-end Millisecond, allows typically now system for cloud computing frame in this way
Structure is difficult to meet the demand.And the proposition of edge calculations concept, the effective solution above problem.
It is well known that things-internet gateway will play the part of very important role in following the Internet of things era, it will become
Connect the tie of sensing network and conventional communication networks.As gateway device, things-internet gateway at this stage only can be achieved on
Protocol conversion between sensing network and communication network and different type sensing network, but without data analysis, equipment
The functions such as management.But with the proposition of edge calculations concept, the things-internet gateway in Future network architectures also requires to need to have
There are the functions such as data analysis, equipment management, such developer that can manage each perception of bottom by things-internet gateway equipment
Node, understands the relevant information of each node, and realizes remote control.
And the gateway device that method proposed in this paper is established just merges routing, data analysis, equipment Management Function, by certainly
The operation of body and processing capacity can directly handle most Internet of Things tasks nearby, and it is negative to not only reduce cloud service center work
Load also improves accuracy and efficiency that gateway device responds different conditions.
In conclusion in edge calculations gateway device play the role of it is vital, so, the foundation of gateway device is
An important ring in edge calculations frame.
Invention content
In view of the problems of the existing technology, the present invention provides a kind of gateway device foundation side providing edge calculations service
Method.According to Raspberry Pi (Raspberry Pi) characteristic of itself：1) have light, portable, cost-effective；2) a variety of programmings are supported
Language；3) multithreading and multitask can be run simultaneously, 4) there is scalability and abundant network function；5) also possess good
The characteristics such as computing capability and all basic functions of PC, this is not available for previous common gateway device.In conjunction with Home
The characteristics of Assistant systems itself, the details that developer can be communicated with shielding platform bottom-layer network are absorbed in and program function
It realizes, so Raspberry Pi are built into a gateway device herein.By establishing wireless routing to Raspberry Pi
Module, data analysis module, device management module, to the single independence of the complete gateway device for being provided in pairs edge calculations service
Foundation.Realize that this layer of data arrival gateway device can complete polymerization, optimization, screening；It is pre- by carrying out gathered data
Result and high price Value Data are simultaneously uploaded high in the clouds by analyzing processing again to allow equipment directly to make a response；In addition, also
Unified management can be carried out to the equipment for accessing Raspberry Pi.The gateway device designed by context of methods just not only has
There is the router of narrow sense, while assuming responsibility for providing the task of service for edge calculations, meets the following things-internet gateway equipment hair
The requirement of exhibition.
In order to achieve the above object, the technical scheme is that：
A kind of method for building up for the gateway device providing edge calculations service, the method for building up pass through common
Wireless router module, data analysis module and device management module are built in Raspberry Pi, are provided edge calculations
The gateway device of service realizes router feature, data analysis function, equipment Management Function.
Wireless router module is built in the Raspberry Pi, for realizing the function of surfing the Net of IOT equipment, and can
To be in communication with each other with Cloud Server center, other equipment terminal, it is as follows：
(1) operating systems of the OpenWRT as router is chosen, the pipe of the hardware resource and software systems of router is responsible for
Reason.
(2) frame for using OpenWRT to provide, chooses the wireless network card for supporting 802.11ac standards, Raspberry Pi
Have by calling the AP function modules of the wireless network adapter of hostapd processes unlatching Raspberry Pi, and sharing it
Gauze network.
(3) recall DHCP procotols, Raspberry Pi can manage concentratedly with dynamic assignment IP address, make connection
IOT equipment to Raspberry Pi can dynamically obtain the information such as IP address, the addresses Gateway, dns server address.
(4) in order to ensure IOT equipment can with external network communication, herein by with linux kernel integrate
Iptables realizes ipv4 forwardings to define nat rules.
In this way, IOT equipment can connect Raspberry Pi in the way of connecting ordinary router, online work(is realized
Can, and can be in communication with each other with Cloud Server center, other equipment terminal.
Data analysis module is built in the Raspberry Pi, the mass data of IOT equipment generation can be collected,
Data are analyzed it or are handled before arriving at cloud center, reduce the data volume sum number for uploading data to Cloud Server center
According to round-trip delay.The data analysis module includes data collection submodule, training pattern setting up submodule, model training
Submodule, data prediction analyze submodule.Data Analysis Services are deployed to the data analysis module of Raspberry Pi herein
On because Tensorflow artificial intelligence learning system can on each platform automatic running model；And support heterogeneous device
Distributed Calculation；Also support the characteristics such as most popular deep neural network model at present.So choosing Tensorflow into line number
According to analyzing processing, be as follows:
1) volume of data being collected by IOT equipment (such as warm and humid sensor), Raspberry Pi count these
It is stored according to according to certain way；
2) required data and then with particular tool are chosen, read data and as input；
3) selection and foundation of model and then according to the characteristics of data are trained；
4) data for the prediction analyzed are iterated training with Tensorflow, until convergence and trained mould
Type preserves；
5) it finally calls available data to be input in model and carries out data analysis and prediction.
The data collection submodule：It is mainly responsible for the collection of every data, and is automatically saved to system database；
The training pattern setting up submodule：Mainly according to characteristic possessed by the data being collected into, it is suitable to choose
Training pattern；
The model training submodule：Mainly it is responsible for being iterated training by the training pattern chosen, it will most
Convergent model preserves afterwards；
The data prediction analyzes submodule：Data mainly by desired analysis prediction are brought into trained model
In obtain final result.
Device management module is built in the Raspberry Pi, realizes and corresponding equipment is made to sensing data
Control response；Service can be called to check device history data；And to the unified management of IOT equipment；It can also be liked according to user
The good self-defined interfaces UI.Device management module further include device data management module, Data Integration module, facility registration module,
Device control module, equipment tracking module, UI custom blocks, third party's service module.Equipment Management Function is deployed to
On Raspberry Pi on device management module, it is as follows：
1) Raspberry Pi choose exploitation basis of the Home Assistant systems as function module, Home
Assistant is a maturation completely system based on Python, and Multifunctional height is supported to customize setting；
2) SMB services, the network share function of open system are called；
3) by system carry configuration modules be designed to a container, in this container operating system from
The code etc. that the servicing of body, third-party service, user oneself write；
4) sensor data collection is shown, equipment control, the tracking of equipment, etc. function distributings to configuration
In module；
5) it according to user preferences, can modify to UI custom blocks；
6) Raspberry Pi call configuration modules；
7) can also finally distributed deployment be carried out to multiple Raspberry Pi, it is whole to constitute an edge calculations
Body frame.
The data management module：It is main to be responsible for carrying out interface display to the data being collected into, preserve；
The Data Integration module：It is mainly responsible for integrating the data being collected into, optimize, after choosing optimization
Data transmission is to cloud service center；
The facility registration module：The main terminal device being responsible for docking in the gateway device is registered；
The equipment controls mould：It is mainly transferred to the data of gateway device according to equipment, either automatically or manually carries out
The control action of associated device；
The equipment tracking module：Mainly to the mobile terminal for being linked into the gateway device carry out it is offline/in spool
Reason, and to its simple positioning；
The UI custom blocks：User voluntarily can carry out hobby modification to system interface；
The third party's service module：The third party's service that can be supported with calling system.
Beneficial effects of the present invention：
1) data of IOT equipment are screened, filters and analyze at gateway device, then by the data transmission after optimization
Give cloud center.
2) gateway device is by handling a part of data, being analyzed, and then can order, control device.
3) by the foundation to gateway device, the IOT equipment in network can be managed collectively, mitigates cloud service center
Burden.
4) Raspberry Pi are opposite light, cheap with other gateway devices, and possess powerful computing capability, sexual valence
Than high.
Description of the drawings
Fig. 1 is workflow of the gateway device of the present invention in edge calculations.
Fig. 2 is the integrated stand composition of gateway device of the present invention.
Fig. 3 is gateway device routing function module realization figure of the present invention.
Fig. 4 is the data analysis flowcharts of gateway device of the present invention.
Fig. 5 is the device management module structure chart of gateway device of the present invention.
Specific embodiment
A kind of method for building up for the gateway device that edge calculations service is provided, in edge calculations overall architecture, by gateway
Equipment is placed on the place closer apart from mobile terminal, sensor, PC end subscribers, these terminal devices are using cloud data center
Calculating service when, data and nearest local gateway device interact, and are just solved well by gateway device in this way
High latency problem in cloud computing.And gateway device possesses complete computing capability and storage capacity, passes through the deployment of localization
It can be connected to device end in the same LAN.Gateway device is connect by stable return link with high in the clouds, again
It can make the distance controlling of terminal user and computing resource in the range of " one jumps ", the gateway that " one jumps " range said herein refers to
Equipment and terminal user generally can be by Wi-Fi connections, and the terminal user in Wi-Fi coverage areas can be set using gateway
The standby calculating provided and storage service.
After the place closer apart from terminal increases gateway device, the workflow of whole network and traditional work
There has also been bigger differences for flow.As shown in Figure 1, in edge calculations network frame, terminal user first asks to gateway device
Service content is sought, if gateway device is capable of the request of complete independently terminal user, it will be directly End-user services, and return
Return corresponding result；If gateway device can not complete independently terminal user request, request can pass through gateway device turn
It is dealt into core net, service is provided to the user by cloud service center.
The core of Raspberry Pi in edge calculations network is mainly by infrastructure and application platform two parts
It constitutes.As shown in Fig. 2, the infrastructure of gateway device is mainly by physical layer and virtual level two parts, physical layer is mainly to provide
The hardware supported of storage, calculating and control function.And virtual level is realized by network virtualization technology, and virtualization is provided
Calculation processing, virtual memory and corresponding management function.And the application platform of gateway device then provides some middleware services
And infrastructure service, the application operated on gateway device can call these services to maintain the normal operation of itself, these are serviced
Including communication service, service registration, data analysis, equipment management etc..The characteristics of according to Home Assistant itself, developer
The details that can be communicated with shielding platform bottom-layer network, is absorbed in the realization with program function.In addition, gateway device passes through Home
Some services that Assistant itself is provided can obtain number of users, user information, sensing data, equipment control, net
Close the information such as device throughput.Mobile terminal, sensor, PC end equipments in figure can call the clothes provided on gateway device
Business.
Under the support of gateway device hardware infrastructure, and its application platform can be mainly divided into three big modules：
Router-module, data analysis module and device management module.
As shown in figure 3, the routing module of Raspberry Pi, first Raspberry Pi by the LAN of itself mouths with
Network connection, and choose the wireless network card for supporting 802.11ac standards；Then allow Raspberry Pi that hostapd processes is called
The AP function modules of the wireless network adapter of Raspberry Pi are opened, and share its cable network；Recall DHCP nets
Network agreement, allow Raspberry Pi can manage concentratedly with dynamic assignment IP address, so that the IOT for being connected to Raspberry Pi is set
It is standby dynamically to obtain the information such as IP address, the addresses Gateway, dns server address；In order to ensure that IOT equipment can be with
External network communication realizes ipv4 forwardings herein by the iptables integrated with linux kernel to define nat rules.In this way,
IOT equipment can realize function of surfing the Net, and can be in communication with each other with Cloud Server center, other equipment terminal.
If the data that IOT equipment generates are transferred directly to cloud service center, this to the communication energy consumption of general terminal and
The network bandwidth for uploading data all brings prodigious challenge.For the data analysis module of Raspberry Pi, such as Fig. 4 institutes
Show, describes the flow that the data being collected into are carried out with analysis prediction.After Raspberry Pi receive the data of IOT equipment,
The data needed are chosen to store in a manner of CSV；By creating a data analysis operation, by the data in the file of CSV formats
It reads, by treated, data store；Anticipation function is defined, model is established in selection；Be used in combination Tensorflow training until
Convergence；The data of selection are input in trained model and are predicted, obtain prediction result.
And the device management module of Raspberry Pi, calculate localization of services, the advantageous item of C1osely Spaced Basing using it
Part so that he can not only provide abundant convenient computing capability to terminal user, can also access network rings anywhere or anytime
Border.As shown in figure 5, device management module mainly has following function to realize：1) data of IOT equipment transmission can be
It shown, integrated, screened on Raspberry Pi, and by the data re-transmission after optimization to cloud data center；2) pass through
IOT device datas communicate, and directly can make control command to equipment corresponding thereto, such as：Pass through optical sensor number
According to the control to pull-up/decline of curtain；3) mobile device for generally accessing or disconnecting this Raspberry Pi is set
Standby tracking, shows its essential information, and simply positioned to it.
By carrying out the foundation of above three module to Raspberry Pi, after completing deployment task, it is ensured that terminal
User accesses wireless network anywhere or anytime, can also be under conditions of not asked to cloud service center transmission data, completion pair
The analysis of data, the management of equipment and control meet the requirement of the following things-internet gateway equipment development.
Claims (1)
1. a kind of method for building up for the gateway device providing edge calculations service, which is characterized in that the method for building up passes through
Wireless router module, data analysis module and device management module are built in common Raspberry Pi, are provided side
Edge calculates the gateway device of service, realizes router feature, data analysis function, equipment Management Function；
Wireless router module is built in the Raspberry Pi, for realizing the function of surfing the Net of IOT equipment, and can be with
Cloud Server center, other equipment terminal are in communication with each other, and are as follows：
(1) operating systems of the OpenWRT as router is chosen, the management of the hardware resource and software systems of router is responsible for；
(2) frame for using OpenWRT to provide, chooses the wireless network card for supporting 802.11ac standards, and Raspberry Pi pass through
It calls hostapd processes to open the AP function modules of the wireless network adapter of Raspberry Pi, and shares its wired network
Network；
(3) DHCP procotols, Raspberry Pi centralized management and dynamic assignment IP address are recalled, makes to be connected to
The IOT equipment of Raspberry Pi can dynamically obtain IP address, the addresses Gateway, dns server address information；
(4) iptables integrated by using linux kernel defines nat rules and realizes ipv4 forwardings, ensure IOT equipment with it is outer
Portion's network communication；
Data analysis module is built in the Raspberry Pi, the data for collecting the generation of IOT equipment are arrived in data
It analyzes it or handles before cloud center；The data analysis module includes that data collection submodule, training pattern are built
Vertical submodule, model training submodule, data prediction analyze submodule；The data collection submodule is responsible for each item data
It collects, and is automatically saved to system database；The training pattern setting up submodule is according to possessed by the data being collected into
Characteristic chooses suitable training pattern；The model training submodule is responsible for being iterated by the training pattern chosen
Training preserves last convergent model；The data of desired analysis prediction are brought by the data prediction analysis submodule
Final result is obtained in trained model；Data Analysis Services are deployed on the data analysis module of Raspberry Pi,
The analyzing processing that Tensorflow carries out data is chosen, is as follows:
1) data are collected by IOT equipment, and data is stored by Raspberry Pi；
2) data needed for choosing read data and as input；
3) selection and foundation of model are trained according to data characteristics；
4) data for the prediction analyzed are iterated training using Tensorflow, until convergence, and preserved trained
Model；
5) it finally calls available data to be input in model and carries out data analysis and prediction；
Device management module is built in the Raspberry Pi, realizes that making corresponding equipment control to sensing data rings
It answers；Service can be called to check device history data, and to the unified management of IOT equipment；User Defined UI can also be passed through
Interface；Device management module further includes device data management module, Data Integration module, facility registration module, equipment control mould
Block, equipment tracking module, UI custom blocks, third party's service module；The data management module is responsible for being collected into
Data carry out interface display, preserve；The Data Integration module is responsible for integrating the data being collected into, optimizing, and chooses
Data transmission after optimization is to cloud service center；The facility registration module is responsible for the terminal to being linked into the gateway device
Equipment is registered；The equipment control mould is transferred to the data of gateway device according to equipment, either automatically or manually carries out phase
The control action of associate device；The equipment tracking module to the mobile terminal for being linked into the gateway device carry out it is offline/
Wire management, and to its simple positioning；The UI custom blocks, user voluntarily modify to system interface；By equipment
Management function is deployed on Raspberry Pi on device management module, is as follows：
1) Raspberry Pi choose exploitation basis of the Home Assistant systems as function module；
2) SMB services, the network share function of open system are called；
3) the configuration modules that system carries are designed to a container, the clothes of operating system itself in the container
The code that business, third-party service, user write；
4) sensor data collection is shown, equipment controls, the following function of equipment is deployed in configuration modules；
5) it is modified to UI custom blocks according to user preferences；
6) Raspberry Pi call configuration modules；
7) can also finally distributed deployment be carried out to multiple Raspberry Pi, to constitute an edge calculations entirety frame
Frame.
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