CN114785817A - Cloud edge collaborative scene linkage method of intelligent lamp pole equipment - Google Patents
Cloud edge collaborative scene linkage method of intelligent lamp pole equipment Download PDFInfo
- Publication number
- CN114785817A CN114785817A CN202210184847.4A CN202210184847A CN114785817A CN 114785817 A CN114785817 A CN 114785817A CN 202210184847 A CN202210184847 A CN 202210184847A CN 114785817 A CN114785817 A CN 114785817A
- Authority
- CN
- China
- Prior art keywords
- linkage
- edge
- equipment
- cloud
- gateway
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 32
- 238000004364 calculation method Methods 0.000 claims abstract description 20
- 238000004458 analytical method Methods 0.000 claims abstract description 9
- 230000000875 corresponding effect Effects 0.000 claims description 61
- 238000012545 processing Methods 0.000 claims description 17
- 230000008713 feedback mechanism Effects 0.000 claims description 12
- 230000007613 environmental effect Effects 0.000 claims description 10
- 230000009471 action Effects 0.000 claims description 7
- 238000004891 communication Methods 0.000 claims description 3
- 238000012216 screening Methods 0.000 claims description 3
- 230000008569 process Effects 0.000 abstract description 9
- 230000003993 interaction Effects 0.000 abstract description 5
- 238000010586 diagram Methods 0.000 description 4
- 238000007405 data analysis Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000005507 spraying Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y20/00—Information sensed or collected by the things
- G16Y20/10—Information sensed or collected by the things relating to the environment, e.g. temperature; relating to location
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y30/00—IoT infrastructure
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/10—Detection; Monitoring
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/30—Control
- G16Y40/35—Management of things, i.e. controlling in accordance with a policy or in order to achieve specified objectives
-
- 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
-
- 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
- H04L67/125—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
Landscapes
- Engineering & Computer Science (AREA)
- Computing Systems (AREA)
- Business, Economics & Management (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Medical Informatics (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Toxicology (AREA)
- Economics (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- Environmental & Geological Engineering (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer And Data Communications (AREA)
Abstract
The invention discloses a linkage method of a smart lamp pole scene, which optimizes the linkage process of various smart devices on the smart lamp pole, specifies that a certain fixed device is changed into a certain type of device during linkage, expands the device range related to the linkage scene, and can perform linkage on a single lamp pole unit device or multiple devices of the same type on multiple lamp pole units across gateways. On the other hand, interaction between the edge side and the cloud computing platform center is reduced, most of data computing and analyzing work is completed by concentrating on the edge side, and the cloud computing platform system manages the linkage process; when the calculation force of the edge side gateway cannot be achieved, the cloud computing center platform receives the calculation and analysis of data and cooperates with the edge gateway to achieve scene-oriented intelligent linkage. Meanwhile, when the edge side and the cloud center computing platform cannot exchange data and the physical link or the network virtual link is obstructed, scene linkage can still be carried out by means of strong edge computing and self-running capabilities of the edge gateway.
Description
Technical Field
The invention relates to a cloud edge collaborative scene linkage method of smart lamp pole equipment, and mainly relates to an intelligent linkage method for collaborative matching of a cloud computing center platform and an edge side.
Background
At present, smart lamp poles are more and more abundant in function, compared with traditional street lamp poles, the street lamp poles are more and more integrated, the number of mounted functional modules is more and more, reasonable building and use of municipal scenes are achieved through stored functional equipment of the smart lamp poles, and the street lamp pole is a problem to be solved urgently; on the other hand, intelligent lamp post point locations and functional devices thereof are dispersed, and how to call and execute devices below a single edge gateway or devices under a cross-edge side gateway through an intelligent logic linkage algorithm.
Wisdom lamp pole cloud center computing platform provides big data analysis and processing's ability, provides basic condition for whole linkage scene, but along with the increase of access equipment volume, data is not only bigger and bigger, and also higher and higher to the transmission delay requirement of network moreover, and the pressure of network bandwidth is great, is difficult to guarantee about the real-time and the accuracy of data. In order to solve the problems and solve the pressure caused by more and more mass data, the marginalized analysis and processing of the source-end data are important on the basis of the big data calculation and analysis of the cloud computing platform, the cloud-edge cooperative processing mode breaks through the inherent thinking mode of the original data processing and analysis, the cloud platform and network pressure are shared, the real-time performance and the accuracy of the data are guaranteed, and convenience and possibility are provided for the realization of various scene linkage rules and algorithms.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a cloud-edge collaborative scene linkage method for intelligent lamp post equipment, which realizes linkage of equipment in an intelligent lamp post unit or multi-type equipment in an area, shares pressure of a cloud platform and network bandwidth through an edge gateway, and ensures real-time performance and accuracy of data.
In order to solve the technical problem, the technical scheme adopted by the invention is as follows: a cloud edge collaborative scene linkage method of intelligent lamp pole equipment comprises the following steps:
s01), the intelligent lamp pole equipment is connected to a cloud center computing platform through an edge gateway, and the edge gateway is responsible for edge computing and data communication;
s02), establishing a linkage strategy among all types of intelligent lamp post equipment on a cloud center computing platform, wherein the linkage strategy comprises a threshold value of an environmental signal acquired by a sensor and an equipment linkage strategy model, and the equipment linkage strategy model specifies equipment types for executing the linkage strategy and a specific executed action task;
s03), the cloud center computing platform generates corresponding trigger conditions according to the environmental signal threshold of the sensor, and issues the trigger conditions and the corresponding equipment linkage strategy model to the relevant edge gateway;
s04), the edge gateway collects and analyzes edge side data in real time, the environmental signal collected by the sensor exceeds a threshold value to form a corresponding trigger condition, and the edge gateway uploads a trigger record to the cloud platform computing center through a feedback mechanism;
s05), the cloud computing platform receives a trigger condition according to a feedback mechanism, determines the type of linkage equipment and the range of the equipment according to the corresponding equipment linkage strategy model, and then informs the corresponding edge gateway to execute the linkage task of the corresponding linkage strategy model through the corresponding feedback mechanism;
s06), after the single or multiple edge gateways receive the task of executing linkage, the edge gateways control the equipment terminals in the linkage scope of the corresponding linkage strategy flow to execute corresponding actions;
s07), the edge gateway executes the linkage according to the linkage strategy until the linkage task is finished, confirms whether linkage is finished or not and records of linkage events through a feedback mechanism, and feeds back the linkage events to the cloud center computing platform.
Further, in step S02), the device linkage strategy further includes:
edge gateway selection policy model: detecting a linkage triggering condition, and after determining a corresponding linkage range, selecting and determining corresponding gateway equipment in an area, or screening the equipment according to different authorities of corresponding departments or groups to determine a linked gateway unit;
selecting a strategy model according to the type and the range of the linkage equipment: detecting different linkage triggering conditions, selecting equipment of corresponding types, determining the range of the linkage equipment, and appointing equipment terminals in a certain range area to execute corresponding actions by taking the place of the event as a center;
linkage execution feedback strategy: and after the linkage scene is executed, feeding back a linkage result, uploading the linkage result to a cloud platform computing center, and if the linkage scene is not executed successfully, executing a secondary execution action.
Further, in step S05), the execution of the device linkage, the data acquisition of the trigger condition, and the calculation are performed by the edge gateway.
Further, in step S06), when the linkage policy model relates to multiple gateway devices, the cloud center computing platform calls cross-gateway devices within an area range according to the trigger records uploaded by the edge gateways, the edge gateways find corresponding linkage policy models according to corresponding trigger conditions, execute corresponding action tasks, and when the edge gateways need assistance processing by the cloud center computing platform, the cloud center computing platform performs deep processing on data.
Further, the basis for judging that the edge gateway needs the assistance of the cloud center computing platform is as follows: and judging according to the time of data calculation required by the edge gateway, when the length of the data processed by the edge gateway is greater than the length of the data processed by the edge gateway and exceeds the calculation power of the edge gateway, performing cooperative processing by using a cloud center computing platform, issuing the result of data calculation analysis to the corresponding gateway by using the cloud center computing platform, and then executing the corresponding strategy model.
Furthermore, when the edge gateway and the cloud center computing platform cannot exchange data and a physical link or a network virtual link is not communicated, the edge gateway performs offline operation, the linked scene runs automatically, the running result is locally stored and backed up, and the result and the data are uploaded after the network is recovered.
Further, wisdom lamp pole equipment is including the functional equipment of mounting on same lamp pole or the functional equipment of mounting on different lamp poles.
Further, in step S04), the trigger record fed back by the edge gateway includes event type, event occurrence time, event occurrence location, linkage task data and status.
The invention has the beneficial effects that: the linkage method of the intelligent lamp pole scene optimizes the linkage process of various intelligent devices on the intelligent lamp pole, on one hand, a certain fixed device is specified to be changed into a certain type of device during linkage, the device range related to the linkage scene is expanded, and the linkage method means that the linkage of single lamp pole unit device can be carried out, and the linkage of multiple devices of the same type on multiple lamp pole units across a gateway can also be carried out. On the other hand, interaction between the edge side and the cloud computing platform center is reduced as much as possible, most data computing and analyzing work is completed by concentrating on the edge side, and the cloud computing platform system manages the linkage process; when the computing power of the edge side gateway cannot be achieved, the cloud computing center platform can receive the operation and analysis of the data, and the intelligent linkage of scene is achieved in cooperation with the edge gateway. Meanwhile, when the edge side and the cloud center computing platform cannot exchange data and the physical link or the network virtual link is obstructed, scene linkage can still be carried out by means of strong edge computing and self-running capabilities of the edge gateway.
Drawings
FIG. 1 is a network topology of the present invention;
FIG. 2 is a flow chart of the linkage execution of the intelligent lamp post device of the invention;
FIG. 3 is a schematic diagram of the present invention executed when interaction with a cloud computing platform center is not possible;
FIG. 4 is a schematic diagram of the linkage process of the present invention.
Detailed Description
The invention is further described with reference to the following figures and specific examples.
Example 1
The embodiment discloses a cloud-edge collaborative scene linkage method for intelligent lamp pole equipment, as shown in fig. 1, which is a network topology diagram of the invention, and comprises the following modules:
the intelligent equipment: mainly include the functional equipment who carries commonly used on the wisdom lamp pole, intelligent equipment such as control, broadcasting, LED screen, vehicle and road cooperation RSU, sensor.
Edge gateway: the intelligent lamp pole structure comprises a computing unit on the edge side in the whole intelligent lamp pole structure, an edge server for carrying out main data computing and analyzing, and is mainly used for collecting and computing data scattered on the bottom layer and carrying out instruction and data interaction on a cloud computing center platform.
The cloud center computing platform: the intelligent lamp post data processing system is a big data platform for final data collection and processing of the intelligent lamp post, provides a corresponding data center for customer service, provides a good human-computer interaction interface, and can perform scene-based linkage customization as required. The computing center platform and the edge gateway server on the edge side work in a cooperative mode, various customization requirements of the client side are met, meanwhile, the edge side shares a part of data computing pressure of the cloud platform, and powerful conditions and possibilities are provided for more scene linkage in the future, such as vehicle-road cooperation, intelligent spraying, intelligent traffic, unmanned driving, unmanned aerial vehicle cruising and the like.
As shown in fig. 2, the specific process of the method is as follows:
s01), connect wisdom lamp pole equipment into cloud center computing platform through the edge gateway, the edge gateway is responsible for edge calculation and data communication.
S02), making linkage strategies among all types of intelligent lamp pole equipment on the cloud center computing platform, wherein the linkage strategies comprise threshold values of environmental signals collected by the sensors and equipment linkage strategy models, and the equipment linkage strategy models specify equipment types and specifically executed action tasks for executing the linkage strategies.
The equipment linkage strategy further comprises:
edge gateway selection policy model: detecting a linkage triggering condition, determining a corresponding linkage range, and then selecting and determining corresponding gateway equipment in the region, or screening the equipment according to different authorities of corresponding departments or groups to determine a linkage gateway unit;
selecting a strategy model according to the type and the range of the linkage equipment: detecting different linkage triggering conditions, selecting equipment of corresponding types, determining the range of the linkage equipment, and appointing equipment terminals in a certain range area to execute corresponding actions by taking the place of the event as a center;
linkage execution feedback strategy: and after the linkage scene is executed, feeding back a linkage result, uploading the linkage record to a cloud platform computing center, and if the linkage scene is not executed successfully, executing a secondary execution action.
S03), the cloud center computing platform generates corresponding trigger conditions according to the environmental signal threshold of the sensor, and issues the trigger conditions and the corresponding equipment linkage strategy model to the relevant edge gateway.
The sensor can be various intelligent mounting equipment on the lamp post; the threshold value of the environmental signal is the threshold value of each sensor acquisition element. The cloud platform can generate different trigger conditions according to various sensors and threshold values thereof.
S04), the edge gateway collects and analyzes edge side data in real time, the environmental signal collected by the sensor exceeds a threshold value to form a corresponding trigger condition, and the edge gateway uploads the trigger record to the cloud platform computing center through a feedback mechanism.
The triggering records fed back by the edge gateway comprise event types, event occurrence time, event occurrence places, linkage task data, states and the like.
S05), the cloud computing platform receives the trigger condition according to the feedback mechanism, determines the type of the linkage equipment and the related equipment range according to the corresponding equipment linkage strategy model, and then informs the corresponding edge gateway to execute the linkage task of the corresponding linkage strategy model through the corresponding feedback mechanism.
The execution action of the equipment linkage and the data acquisition and calculation of the trigger condition are all completed by the edge side gateway, most of the work is carried out by the edge side gateway, and the calculation pressure of the cloud calculation platform is shared.
S06), after the single or multiple edge gateways receive the task of executing linkage, the edge gateways control the equipment terminals in the linkage scope of the corresponding linkage strategy flow to execute corresponding actions.
When the linkage strategy model relates to a plurality of gateway devices, the cloud platform computing center calls cross-gateway devices in an area range according to the trigger records uploaded by the edge side gateway, and the edge side gateway finds the corresponding linkage strategy model according to the corresponding trigger conditions and executes the corresponding action task. When the edge side needs the cloud computing center platform to assist in processing, the cloud computing platform can perform deep processing on data.
The basis for judging the data analysis and calculation of the cloud computing center platform in cooperation with the edge gateway is as follows: and judging according to the time of data calculation required by the edge gateway, when the length of the data processed by the edge gateway is greater than the length of the data processed by the edge gateway and exceeds the calculation power of the edge gateway, performing cooperative processing by using a cloud center platform, issuing the result of data calculation analysis to the corresponding gateway by using the cloud center platform, and executing the corresponding strategy model.
S07), the edge gateway executes the linkage according to the linkage strategy until the linkage task is finished, confirms whether linkage is finished or not and records of linkage events through a feedback mechanism, and feeds back the linkage events to the cloud center computing platform.
As shown in fig. 3, when the edge gateway and the cloud center computing platform cannot exchange data or the physical link or the network virtual link is not available, the edge gateway may perform offline operation, perform self-operation of the linked scene, locally store and backup the operation result, and upload the result and data after the network is restored.
The edge gateway of the edge side equipment can work when no network or link is obstructed, and is characterized in that corresponding trigger conditions and a linkage strategy model are issued to corresponding edge side gateway equipment at the beginning of the whole operation scene, and edge side calculation of data is really realized by depending on the self-operation function of the gateway.
Fig. 4 is a specific execution diagram in the linkage process of the present invention:
the invention aims to optimize linkage processes of various intelligent devices on an intelligent lamp pole, when scene trigger conditions occur, corresponding strategy models are pointed according to the trigger conditions, and a cloud computing center platform judges whether the intelligent devices are in linkage of which type on a single intelligent lamp pole according to device and edge side gateway selection strategies in a linkage strategy model and trigger records fed back by gateways.
In the linkage method, a cloud computing center platform can call equipment under multiple gateways in a region range simultaneously according to a feedback trigger record and a strategy model, so that a large-scale linkage scene is formed, the linkage of the intelligent lamp pole is more humanized and practical, the flexibility is increased, and the limitation of setting of the past linkage scene is broken.
On the other hand, data exchange between the edge side and the cloud computing platform center is reduced as much as possible, most data computing and analyzing work is completed by concentrating on the edge side, and the cloud computing platform system manages the linkage process; when the computing power of the edge side gateway cannot be achieved, the cloud computing center platform can receive the operation and analysis of the data, and the intelligent linkage of scene is achieved in cooperation with the edge gateway. Meanwhile, when the edge side and the cloud center computing platform cannot exchange data and the physical link or the network virtual link is obstructed, scene linkage can still be carried out by means of strong edge computing and self-running capabilities of the edge gateway. And after linkage is finished, feeding back a linkage result and a linkage record alarm to the cloud side center to be recorded as a backup record.
The foregoing description is only for the purpose of illustrating the general principles and preferred embodiments of the present invention, and it is intended that modifications and substitutions be made by those skilled in the art in light of the present invention and that they fall within the scope of the present invention.
Claims (8)
1. A cloud edge collaborative scene linkage method of intelligent lamp pole equipment is characterized in that: the method comprises the following steps:
s01), the intelligent lamp pole equipment is accessed to the cloud center computing platform through the edge gateway, and the edge gateway is responsible for edge computing and data communication;
s02), making linkage strategies among all types of intelligent lamp post equipment on the cloud center computing platform, wherein the linkage strategies comprise threshold values of environmental signals collected by a sensor and an equipment linkage strategy model, and the equipment linkage strategy model specifies equipment types for executing the linkage strategies and specifically executed action tasks;
s03), the cloud center computing platform generates corresponding trigger conditions according to the environmental signal threshold of the sensor, and issues the trigger conditions and the corresponding equipment linkage strategy model to the relevant edge gateway;
s04), the edge gateway collects and analyzes edge side data in real time, the environmental signal collected by the sensor exceeds a threshold value to form a corresponding trigger condition, and the edge gateway uploads a trigger record to a cloud platform computing center through a feedback mechanism;
s05), the cloud computing platform receives a trigger condition according to a feedback mechanism, determines the type of linkage equipment and the range of the equipment according to the corresponding equipment linkage strategy model, and then informs the corresponding edge gateway to execute the linkage task of the corresponding linkage strategy model through the corresponding feedback mechanism;
s06), after the single or multiple edge gateways receive the task of executing linkage, the edge gateways control the equipment terminals in the linkage scope of the corresponding linkage strategy flow to execute corresponding actions;
s07), the edge gateway executes according to the linkage strategy until the linkage task is finished, confirms whether linkage is finished and records of linkage events through a feedback mechanism, and feeds back the linkage events to the cloud center computing platform.
2. The method for linking a cloud-edge collaborative scene of a smart light pole device according to claim 1, wherein: step S02), the device linkage strategy further includes:
edge gateway selection policy model: detecting a linkage triggering condition, and after determining a corresponding linkage range, selecting and determining corresponding gateway equipment in an area, or screening the equipment according to different authorities of corresponding departments or groups to determine a linked gateway unit;
selecting a strategy model according to the type and the range of the linkage equipment: detecting different linkage triggering conditions, selecting equipment of corresponding types, determining the range of the linkage equipment, and appointing equipment terminals in a certain range area to execute corresponding actions by taking the place of an event as a center;
linkage execution feedback strategy: and after the linkage scene is executed, feeding back a linkage result, uploading the linkage record to a cloud platform computing center, and if the linkage scene is not executed successfully, executing a secondary execution action.
3. The method for linking cloud-edge collaborative scene of smart lamp pole equipment according to claim 1, wherein the method comprises the following steps: step S05), the execution of the device linkage, the data acquisition of the trigger condition, and the calculation are performed by the edge gateway.
4. The method for linking a cloud-edge collaborative scene of a smart light pole device according to claim 1, wherein: step S06), when the linkage strategy model relates to a plurality of gateway devices, the cloud center computing platform calls cross-gateway devices in an area range according to the trigger records uploaded by the edge gateways, the edge gateways find corresponding linkage strategy models according to corresponding trigger conditions and execute corresponding action tasks, and when the edge gateways need assistance processing of the cloud center computing platform, the cloud center computing platform performs deep processing of data.
5. The method for linking a cloud-edge collaborative scene of a smart light pole device according to claim 1, wherein: the basis for judging that the edge gateway needs the assistance of the cloud center computing platform is as follows: judging according to the time of data calculation required by the edge gateway, when the length of data processing of the edge gateway is larger than the length of data processing of the edge gateway and exceeds the calculation power of the edge gateway, performing cooperative processing by using a cloud center computing platform, issuing the result of data calculation analysis to the corresponding gateway by using the cloud center computing platform, and executing the corresponding strategy model.
6. The method for linking cloud-edge collaborative scene of smart lamp pole equipment according to claim 1, wherein the method comprises the following steps: when the edge gateway and the cloud center computing platform cannot exchange data and the physical link or the network virtual link is not communicated, the edge gateway performs offline operation, the linkage scene self-runs, the running result is locally stored and backed up, and the result and the data are uploaded after the network is recovered.
7. The method for linking a cloud-edge collaborative scene of a smart light pole device according to claim 1, wherein: wisdom lamp pole equipment includes the functional equipment of mounting on same lamp pole or the functional equipment of mounting on different lamp poles.
8. The method for linking a cloud-edge collaborative scene of a smart light pole device according to claim 1, wherein: step S04), the trigger record fed back by the edge gateway includes event type, event occurrence time, event occurrence location, linkage task data and status.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210184847.4A CN114785817A (en) | 2022-02-28 | 2022-02-28 | Cloud edge collaborative scene linkage method of intelligent lamp pole equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210184847.4A CN114785817A (en) | 2022-02-28 | 2022-02-28 | Cloud edge collaborative scene linkage method of intelligent lamp pole equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114785817A true CN114785817A (en) | 2022-07-22 |
Family
ID=82422897
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210184847.4A Pending CN114785817A (en) | 2022-02-28 | 2022-02-28 | Cloud edge collaborative scene linkage method of intelligent lamp pole equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114785817A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116259270A (en) * | 2023-01-09 | 2023-06-13 | 济南三星照明科技股份有限公司 | Method for acquiring area, wind-resistant method and wind-resistant system |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106169957A (en) * | 2016-06-12 | 2016-11-30 | 福建星网锐捷通讯股份有限公司 | A kind of implementation method carrying out based on smart machine spanning gateway linking |
| CN110673525A (en) * | 2019-09-27 | 2020-01-10 | 易讯科技股份有限公司 | Equipment linkage triggering method and device |
| CN111200528A (en) * | 2019-12-31 | 2020-05-26 | 中科智城(广州)信息科技有限公司 | Intelligent linkage method for smart city with edge cloud cooperation |
| CN113419439A (en) * | 2021-07-08 | 2021-09-21 | 杭州萤石软件有限公司 | Linkage control method, terminal, gateway equipment and system of Internet of things equipment |
| US20210295684A1 (en) * | 2020-03-18 | 2021-09-23 | Research Institute Of Highway Ministry Of Transport | Cloud-edge-end cooperative highway cloud control system and control method |
| CN113630372A (en) * | 2020-05-09 | 2021-11-09 | 中移物联网有限公司 | Cloud edge coordination system for edge computing |
-
2022
- 2022-02-28 CN CN202210184847.4A patent/CN114785817A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106169957A (en) * | 2016-06-12 | 2016-11-30 | 福建星网锐捷通讯股份有限公司 | A kind of implementation method carrying out based on smart machine spanning gateway linking |
| CN110673525A (en) * | 2019-09-27 | 2020-01-10 | 易讯科技股份有限公司 | Equipment linkage triggering method and device |
| CN111200528A (en) * | 2019-12-31 | 2020-05-26 | 中科智城(广州)信息科技有限公司 | Intelligent linkage method for smart city with edge cloud cooperation |
| US20210295684A1 (en) * | 2020-03-18 | 2021-09-23 | Research Institute Of Highway Ministry Of Transport | Cloud-edge-end cooperative highway cloud control system and control method |
| CN113630372A (en) * | 2020-05-09 | 2021-11-09 | 中移物联网有限公司 | Cloud edge coordination system for edge computing |
| CN113419439A (en) * | 2021-07-08 | 2021-09-21 | 杭州萤石软件有限公司 | Linkage control method, terminal, gateway equipment and system of Internet of things equipment |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116259270A (en) * | 2023-01-09 | 2023-06-13 | 济南三星照明科技股份有限公司 | Method for acquiring area, wind-resistant method and wind-resistant system |
| CN116259270B (en) * | 2023-01-09 | 2024-02-23 | 济南三星照明科技股份有限公司 | Method for acquiring area, wind-resistant method and wind-resistant system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111371904B (en) | Cloud-side-end-coordinated highway cloud control system and control method | |
| KR102567204B1 (en) | Vehicle-road cooperation apparatus and method, electronic device and storage medium | |
| CN107269054A (en) | A kind of intelligent stereo garage system and control method | |
| CN109804367A (en) | Use the distributed video storage and search of edge calculations | |
| CN106485927A (en) | A kind of intelligent transportation violation information harvester and acquisition method | |
| CN104200671A (en) | Method and system for managing virtual gate based on big data platform | |
| CN113808389A (en) | Vehicle-road cooperation system, edge computing unit, central cloud platform and information processing method | |
| CN113075877B (en) | Track traffic integrated monitoring system | |
| CN112233273A (en) | Data transmission method and device, vehicle-mounted equipment and storage medium | |
| CN114785817A (en) | Cloud edge collaborative scene linkage method of intelligent lamp pole equipment | |
| CN110264716A (en) | A kind of intelligent transportation system and application method based on Internet of Things | |
| CN101246646A (en) | E-Police system structure based on Web service | |
| CN114066213A (en) | Method and device for supervising running of intelligent networked automobile | |
| CN112633120A (en) | Intelligent roadside sensing system based on semi-supervised learning and model training method | |
| CN204759452U (en) | Traffic conflagration detecting system based on many characteristics of video smog fuse | |
| KR20200054919A (en) | Servers, systems for road traffic information analysis and methods thereof | |
| CN110471988B (en) | Three-section five-layer artificial intelligence system based on modularization | |
| CN111770133B (en) | Multi-body intelligent-connection cloud control platform | |
| CN209803842U (en) | Photovoltaic board inspection equipment | |
| CN112087715A (en) | Beidou-based Internet of vehicles intelligent big data monitoring and management cloud platform system | |
| CN206259023U (en) | A kind of intelligent transportation violation information harvester | |
| CN113895396B (en) | Vehicle anti-theft system and method based on cloud side end | |
| CN202103786U (en) | Road automobile flow video monitoring statistical system | |
| CN113489942A (en) | Video monitoring system based on edge calculation | |
| CN114900656A (en) | Traffic monitoring video stream processing method, device, system and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |