CN107864195A - A kind of Edge Server being used in building and its method of work - Google Patents
A kind of Edge Server being used in building and its method of work Download PDFInfo
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- CN107864195A CN107864195A CN201711047508.7A CN201711047508A CN107864195A CN 107864195 A CN107864195 A CN 107864195A CN 201711047508 A CN201711047508 A CN 201711047508A CN 107864195 A CN107864195 A CN 107864195A
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- 238000000034 method Methods 0.000 title claims description 13
- 238000012545 processing Methods 0.000 claims abstract description 36
- 238000007405 data analysis Methods 0.000 claims abstract description 19
- 238000012216 screening Methods 0.000 claims description 20
- 239000003595 mist Substances 0.000 claims description 11
- 238000004458 analytical method Methods 0.000 claims description 10
- 238000013500 data storage Methods 0.000 claims description 8
- 238000005516 engineering process Methods 0.000 claims description 7
- 238000007726 management method Methods 0.000 claims description 6
- 230000005540 biological transmission Effects 0.000 claims description 4
- 230000008447 perception Effects 0.000 claims description 4
- 230000001360 synchronised effect Effects 0.000 claims description 4
- 238000003491 array Methods 0.000 claims description 3
- 230000007246 mechanism Effects 0.000 claims description 3
- 230000006399 behavior Effects 0.000 claims description 2
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- 230000003139 buffering effect Effects 0.000 abstract description 2
- 238000001914 filtration Methods 0.000 abstract description 2
- 230000007935 neutral effect Effects 0.000 abstract description 2
- 241001269238 Data Species 0.000 abstract 1
- 238000012544 monitoring process Methods 0.000 abstract 1
- 238000013461 design Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 3
- 238000013528 artificial neural network Methods 0.000 description 2
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- 230000000694 effects Effects 0.000 description 2
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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
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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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
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
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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
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1095—Replication or mirroring of data, e.g. scheduling or transport for data synchronisation between network nodes
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Abstract
The invention discloses a kind of Edge Server being used in building, including：Hardware facility and server, wherein, data memory module, data processing module, data calamity are provided with the server for module, data analysis module and controller module, described server is located in hardware facility, and the data memory module, data processing module, data calamity are connected for module and data analysis module with controller module；The present invention is pre-processed by the hardware facility in the present invention and server to building pertaining initial datas such as the monitoring of building neutral net sensing layer, the facility collected, equipment, environment, including data cleansing, data filtering etc., on the one hand invalid, useless junk data is reduced as far as possible, on the other hand the data of non-high requirement of real time is locally being entered row buffering, is being real-time transmitted to high in the clouds pressure to caused by network to mitigate big data.
Description
Technical field
The invention belongs to wisdom technical field of buildings, more particularly to a kind of Edge Server being used in building and its work
Method.
Background technology
Edge calculations（Edge computing）, be a kind of framework of distributing computing, by application program, data information with
The computing of service, by Network Central Node, fringe node on migration cellular logic is handled.Boundary operation will originally completely by
The large-scale service of Centroid processing is decomposed, and is cut into the smaller part with being easier management, is distributed to fringe node place to go
Reason.Fringe node can accelerate processing and the transfer rate of data, reduce delay closer to user terminal apparatus.This
Under framework, the analysis of data and the generation of knowledge, closer to the source of data information, therefore it is more suitable for handling big data.
Mist calculates（Fog Computing）It is based on the small-sized cloud such as private clound, enterprise's cloud, this and cloud computing are entirely different.Cloud
Calculating is with IT carrier services, based on the cloud that communizes.Mist calculates to be got the upper hand of with measuring, and emphasizes quantity, no matter single calculate is saved
How weak ability is to play a role for point.Mist calculates the Network Computing Mode for expanding cloud computing, by network calculations from network
The heart extend to network edge, so as to more be widely used in various services.Mist, which calculates, several obvious characteristics：Low delay and
Location aware, more extensive geographical distribution, adapts to ambulant application, supports more fringe nodes.These features cause
Mobile service deployment is more convenient, meets wider node access.Country is greatly developing Internet of Things, Internet of Things development now
Final result be exactly that all are all interconnected by all electronic equipments, mobile terminal, household electrical appliance etc., these equipment are not
Only enormous amount, and it is widely distributed, and only mist is calculated and could met.Reality demand to mist calculate propose requirement, also for
Mist calculates and provides development opportunity.There are the following problems for existing Edge Server：
（1）The connection data of magnanimity and the real-time of heterogeneous service propose higher using the optimization security and privacy protection to data
It is required that.
（2）Current edge calculations, mist, which calculate etc., is still merely resting on the conceptual phase, still lacks landing technology.
The content of the invention
Goal of the invention：In order to overcome the above insufficient, it is an object of the invention to provide a kind of edge service being used in building
Device, its is simple in construction, reasonable in design, effectively can handle receiving big data, reduces invalid data and takes storage sky
Between, it is main to include deleting duplicate message, correct wrong data, and data consistency is provided, greatly improve the accurate of its data
Property.
Technical scheme：To achieve these goals, the invention provides a kind of Edge Server being used in building, bag
Include：Hardware facility and server, wherein, data memory module, data processing module, data calamity are provided with the server for mould
Block, data analysis module and controller module, described server are located in hardware facility, the data memory module, data
Processing module, data calamity are connected for module and data analysis module with controller module；
The data memory module is used for by the data storage after processing in the database of server, and supports a variety of operation systems
System；
The data processing module is used for data perception layer by the original data transmissions collected to Edge Server, and system is to nothing
Imitate data and carry out Screening Treatment, reduce invalid data and take memory space；
The data calamity is used to prevent cloud cental system from loss of data occurs for module, can also be from Edge Server secondary request
Upload data；
The data analysis module carries out analysis calculating with the computing capability of fringe node to local data, mitigates the meter in high in the clouds
Load is calculated, and is responded in time for emergency.
It is provided with power supply, CPU, internal memory, hard disk, mainboard in heretofore described hardware facility, it is described CPU, internal memory, hard
Disk, mainboard assemble to form hardware device, and are connected it with external power supply by power supply.
Heretofore described power supply uses redundant power technology.
Heretofore described CPU uses two-pass design, is connected 2 CPU by parallel bus.
Heretofore described hard disk uses disk array technology.
Database in heretofore described data memory module uses MySQL database, the database energy in the present invention
It is enough that Screening Treatment is carried out to invalid data, reduce invalid data and take memory space.It is main to include deleting duplicate message, correct mistake
Data by mistake, and data consistency is provided.Data storage function：By the data storage after processing in the database of server.
Data uploading module and emergent management module are additionally provided with heretofore described server, for cloud cental system
The building data after analyzing and processing are sent, provide reliable, effective data source for building big data application, wherein data upload rule
Then include, network idle time timing is sent, emergency transmits in real time and the request of cloud cental system is sent；Described urgent place
Reason module is used to handle emergency, and system uses the variation tendency of the prediction data such as artificial neural network, genetic algorithm, in time
The situation that early warning may occur.
Data screening unit, the data screening unit and controller mould are provided with heretofore described data processing module
Block connects.
The method of work of the heretofore described Edge Server being used in building, specific method of work are as follows：
1）：The data that data acquisition mechanism collects are sent to server first；
2）：Data processing module in server is pre-processed, by data screening unit by the nothing in the data collected
Effect data are screened out；
3）：Then the data after screening are stored by data memory module, and data entered for module by data calamity
Row backup；
4）：Then analysis calculating is carried out to local data with the computing capability of fringe node by data analysis module, mitigated
The calculated load in high in the clouds, and responded in time for emergency；
5）：A situation arises for the emergency analyzed in the threshold value combination previous step that primary reflective arc passes through data, directly to this
Ground actuator feedback command, and synchronized upload is to cloud cental system.Above-mentioned technical proposal, which can be seen that the present invention, to be had such as
Lower beneficial effect：
1st, heretofore described a kind of Edge Server being used in building, passes through the hardware facility and server in the present invention
To building neutral net（Sensing layer）The building pertaining initial data such as the facility that monitor, collects, equipment, environment is located in advance
Reason, including data cleansing, data filtering etc., invalid, useless junk data on the one hand is reduced as far as possible, on the other hand non-high real
Shi Yaoqiu data are locally entering row buffering, are being real-time transmitted to high in the clouds pressure to caused by network to mitigate big data.
2nd, the database in heretofore described data memory module uses MySQL database, small volume, speed is fast,
The total cost of ownership is low, and supports several operation systems, and the database in the present invention can carry out Screening Treatment to invalid data,
Reduce invalid data and take memory space, it is main to include deleting duplicate message, correct wrong data, and data consistency is provided,
The accuracy of its data is greatly improved, while also there is data storage function, the data storage after processing can serviced
In the database of device, follow-up operating efficiency is improved.
3rd, data calamity is additionally provided with server of the invention for module, once data loss problem occurs for cloud cental system,
Data can also be uploaded from Edge Server secondary request, can effectively prevent loss of data and damage.
Brief description of the drawings
Fig. 1 is the structural representation of the present invention；
Fig. 2 is the workflow diagram for the Edge Server being used in the present invention in building.
Embodiment
Below in conjunction with the accompanying drawings and specific embodiment, the present invention is furture elucidated.
Embodiment 1
A kind of Edge Server being used in building as depicted, it is characterised in that：Including：Hardware facility 1 and server 2,
Wherein, data memory module, data processing module, data calamity are provided with the server 2 for module, data analysis module and control
Device module processed, described server 2 are located in hardware facility 1, and the data memory module, data processing module, data calamity are standby
Module and data analysis module are connected with controller module；
The data memory module is used for by the data storage after processing in the database of server 2, and supports a variety of operations
System；
The data processing module is used for data perception layer by the original data transmissions collected to Edge Server 2, system pair
Invalid data carries out Screening Treatment, reduces invalid data and takes memory space；
The data calamity is used to prevent cloud cental system from loss of data occurs for module, can also please from Edge Server 2 two times
Seek upload data；
The data analysis module carries out analysis calculating with the computing capability of fringe node to local data, mitigates the meter in high in the clouds
Load is calculated, and is responded in time for emergency.
In hardware facility 1 described in the present embodiment be provided with power supply, CPU, internal memory, hard disk, mainboard, described CPU, internal memory,
Hard disk, mainboard assemble to form hardware device, and are connected it with external power supply by power supply.
Power supply described in the present embodiment uses redundant power technology.
CPU described in the present embodiment uses two-pass design, is connected 2 CPU by parallel bus.
Hard disk described in the present embodiment uses disk array Redundant Arrays of Independent Disks,
RAID technique, RAID principles are on the data image of a disk to another disk, that is to say, that data are in one piece of write-in
While disk, image file can be generated on another piece of idle disk, be protected to greatest extent in the case where not influenceing behavior pattern
In the reliability and recoverability of card system.When one piece of hard disk fails, system can ignore the hard disk, then use remaining mirror
As disk read-write data, possesses good disk redundancy ability.
System described in the present embodiment uses MySQL database, and MySQL database small volume, speed are fast, totally possess
Cost is low, and supports several operation systems.Edge Server also assume responsibility for local data calamity for function, once cloud cental system is sent out
Raw data loss problem, data can also be uploaded from Edge Server secondary request.Data analysis function：Data analysis is mainly
Analysis calculating is carried out to local data with the computing capability of fringe node, mitigates the calculated load in high in the clouds, and be directed to urgent thing
Part responds in time.The primary reflective arc of Edge Server judges that emergency is sent out by the threshold value combination expert system of data
Raw situation, directly to actuator feedback command, and synchronized upload is to cloud cental system.In addition, system using artificial neural network,
The variation tendency of the prediction data such as genetic algorithm, the situation that timely early warning may occur.Data upload：According to data management with answering
With requiring, the building data after sending analyzing and processing to cloud cental system, for building big data application provides it is reliable, effectively count
According to source.Data, which upload rule, to be included, and network idle time timing is sent, emergency transmits in real time and cloud cental system request hair
Send.
Data uploading module and emergent management module are additionally provided with server 2 described in the present embodiment, for cloud maincenter
System sends the building data after analyzing and processing, reliable, effective data source is provided for building big data application, wherein in data
Passing rule includes, and network idle time timing is sent, emergency transmits in real time and the request of cloud cental system is sent；Described is tight
Anxious processing module is used to handle emergency.
Data screening unit, the data screening unit and controller are provided with described in the present embodiment in data processing module
Module connects.
Embodiment 2
A kind of Edge Server being used in building as depicted, it is characterised in that：Including：Hardware facility 1 and server 2,
Wherein, data memory module, data processing module, data calamity are provided with the server 2 for module, data analysis module and control
Device module processed, described server 2 are located in hardware facility 1, and the data memory module, data processing module, data calamity are standby
Module and data analysis module are connected with controller module；
The data memory module is used for by the data storage after processing in the database of server 2, and supports a variety of operations
System；
The data processing module is used for data perception layer by the original data transmissions collected to Edge Server 2, system pair
Invalid data carries out Screening Treatment, reduces invalid data and takes memory space；
The data calamity is used to prevent cloud cental system from loss of data occurs for module, can also please from Edge Server 2 two times
Seek upload data；
The data analysis module carries out analysis calculating with the computing capability of fringe node to local data, mitigates the meter in high in the clouds
Load is calculated, and is responded in time for emergency.
In hardware facility 1 described in the present embodiment be provided with power supply, CPU, internal memory, hard disk, mainboard, described CPU, internal memory,
Hard disk, mainboard assemble to form hardware device, and are connected it with external power supply by power supply.
Power supply described in the present embodiment uses redundant power technology.
CPU described in the present embodiment uses two-pass design, is connected 2 CPU by parallel bus.
Hard disk described in the present embodiment uses disk array Redundant Arrays of Independent Disks,
RAID technique.
Database described in the present embodiment in data memory module uses MySQL database.
Data uploading module and emergent management module are additionally provided with server 2 described in the present embodiment, for cloud maincenter
System sends the building data after analyzing and processing, reliable, effective data source is provided for building big data application, wherein in data
Passing rule includes, and network idle time timing is sent, emergency transmits in real time and the request of cloud cental system is sent；Described is tight
Anxious processing module is used to handle emergency.
Data screening unit, the data screening unit and controller are provided with described in the present embodiment in data processing module
Module connects.
The method of work of the Edge Server being used in building described in the present embodiment, specific method of work are as follows：
1）：The data that data acquisition mechanism collects are sent to server 2 first；
2）：Data processing module in server 2 is pre-processed, by data screening unit by the nothing in the data collected
Effect data are screened out；
3）：Then the data after screening are stored by data memory module, and data entered for module by data calamity
Row backup；
4）：Then analysis calculating is carried out to local data with the computing capability of fringe node by data analysis module, mitigated
The calculated load in high in the clouds, and responded in time for emergency；
5）：A situation arises for the emergency analyzed in the threshold value combination previous step that primary reflective arc passes through data, directly to this
Ground actuator feedback command, and synchronized upload is to cloud cental system.
Data in the present embodiment upload：According to data management and application requirement, send and analyze and process to cloud cental system
Building data afterwards, reliable, effective data source is provided for building big data application.Data, which upload rule, to be included, network idle
Time timing is sent, emergency transmits in real time and the request of cloud cental system is sent.
Described above is only the preferred embodiment of the present invention, it is noted that is come for those skilled in the art
Say, under the premise without departing from the principles of the invention, some improvement can also be made, these improvement also should be regarded as the protection of the present invention
Scope.
Claims (9)
- A kind of 1. Edge Server being used in building, it is characterised in that：Including：Hardware facility（1）And server（2）, wherein, Described server（2）In be provided with Cloud Server and mist server, the mist server is connected with Cloud Server, and the cloud take It is engaged in being provided with data memory module, data processing module, data calamity in device for module, data analysis module and controller module, institute The server stated（2）Located at hardware facility（1）In, the data memory module, data processing module, data calamity for module with And data analysis module is connected with controller module；The data memory module is used for the data storage after processing in server（2）Database in, and support a variety of behaviour Make system；The data processing module is used for data perception layer by the original data transmissions collected to Edge Server（2）, system Screening Treatment is carried out to invalid data, invalid data is reduced and takes memory space；The data calamity is used to prevent cloud cental system from loss of data occurs for module, can also be from Edge Server（2）It is secondary Request uploads data；The data analysis module carries out analysis calculating with the computing capability of fringe node to local data, mitigates the meter in high in the clouds Load is calculated, and is responded in time for emergency；The mist server is standby for the storage calamity of the arrangement to data, analysis and data.
- 2. the Edge Server according to claim 1 being used in building, it is characterised in that：The hardware facility（1）In Provided with power supply, CPU, internal memory, hard disk, mainboard, described CPU, internal memory, hard disk, mainboard assemble to form hardware device, and pass through electricity It is connected by source with external power supply.
- 3. the Edge Server according to claim 2 being used in building, it is characterised in that：The power supply uses redundant electric Source technology.
- 4. the Edge Server according to claim 2 being used in building, it is characterised in that：The CPU is set using two-way Meter, is connected 2 CPU by parallel bus.
- 5. the Edge Server according to claim 2 being used in building, it is characterised in that：The hard disk uses disk battle array Row are Redundant Arrays of Independent Disks, RAID technique.
- 6. the Edge Server according to claim 1 being used in building, it is characterised in that：In the data memory module Database use MySQL database.
- 7. the Edge Server according to claim 1 being used in building, it is characterised in that：The server（2）In also Provided with data uploading module and emergent management module, for the building data after sending analyzing and processing to cloud cental system, wherein Data, which upload rule, to be included, and network idle time timing is sent, emergency transmits in real time and the request of cloud cental system is sent；Institute The emergent management module stated is used to handle emergency.
- 8. the Edge Server according to claim 1 being used in building, it is characterised in that：In the data processing module Provided with data screening unit, the data screening unit is connected with controller module.
- 9. the method for work of the Edge Server being used in building according to any one of claim 1 to 8, its feature exist In：Specific method of work is as follows：1）：The data that data acquisition mechanism collects are sent to server first（2）；2）：Server（2）In data processing module pre-processed, by data screening unit by the data collected Invalid data is screened out；3）：Then the data after screening are stored by data memory module, and data entered for module by data calamity Row backup；4）：Then analysis calculating is carried out to local data with the computing capability of fringe node by data analysis module, mitigated The calculated load in high in the clouds, and responded in time for emergency；5）：A situation arises for the emergency analyzed in the threshold value combination previous step that primary reflective arc passes through data, directly to this Ground actuator feedback command, and synchronized upload is to cloud cental system.
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| CN110131852A (en) * | 2019-05-08 | 2019-08-16 | 珠海格力电器股份有限公司 | Air conditioner data collection method and device, computer equipment and storage medium |
| CN112666889A (en) * | 2020-12-18 | 2021-04-16 | 深圳渊联技术有限公司 | Industrial control system and industrial control method |
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