CN115242635A - AI enabling cloud edge collaborative middleware and system of power internet of things - Google Patents
AI enabling cloud edge collaborative middleware and system of power internet of things Download PDFInfo
- Publication number
- CN115242635A CN115242635A CN202210886541.3A CN202210886541A CN115242635A CN 115242635 A CN115242635 A CN 115242635A CN 202210886541 A CN202210886541 A CN 202210886541A CN 115242635 A CN115242635 A CN 115242635A
- Authority
- CN
- China
- Prior art keywords
- terminal equipment
- model
- management platform
- analysis
- electric power
- 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
- 238000004458 analytical method Methods 0.000 claims abstract description 68
- 238000007726 management method Methods 0.000 claims description 45
- 238000013523 data management Methods 0.000 claims description 25
- 238000012549 training Methods 0.000 claims description 20
- 230000000875 corresponding effect Effects 0.000 claims description 14
- 238000006243 chemical reaction Methods 0.000 claims description 9
- 238000004891 communication Methods 0.000 claims description 7
- 230000010354 integration Effects 0.000 claims description 6
- 230000003993 interaction Effects 0.000 claims description 6
- 230000008447 perception Effects 0.000 claims description 3
- 238000013473 artificial intelligence Methods 0.000 description 8
- 238000013461 design Methods 0.000 description 5
- 238000000034 method Methods 0.000 description 4
- 230000008901 benefit Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 239000004744 fabric Substances 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000003044 adaptive effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000006835 compression Effects 0.000 description 1
- 238000007906 compression Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000010191 image analysis Methods 0.000 description 1
- 210000001503 joint Anatomy 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0803—Configuration setting
- H04L41/0813—Configuration setting characterised by the conditions triggering a change of settings
- H04L41/082—Configuration setting characterised by the conditions triggering a change of settings the condition being updates or upgrades of network functionality
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/14—Network analysis or design
- H04L41/145—Network analysis or design involving simulating, designing, planning or modelling of a network
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/16—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks using machine learning or artificial intelligence
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Medical Informatics (AREA)
- Evolutionary Computation (AREA)
- Databases & Information Systems (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Artificial Intelligence (AREA)
- Software Systems (AREA)
- Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- General Health & Medical Sciences (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention discloses an AI enabling cloud edge collaborative middleware and system for an electric power Internet of things, which comprise a northbound interface unit, a southbound interface unit, a control interface unit and an AI analysis unit; the north interface unit is used for analyzing and converting the information sent by the power grid management platform into a north information, and uploading the data acquired by the power terminal equipment and the analysis result of the AI analysis unit uploaded by the south interface unit to the power grid management platform; the southbound interface unit is used for forwarding the terminal equipment information acquisition instruction to the electric power terminal equipment and receiving and analyzing data uploaded by the electric power terminal equipment; the control interface unit is used for forwarding the terminal equipment control instruction to the electric power terminal equipment; the AI analysis unit is used for responding to the received analysis instruction and analyzing the data collected by the power terminal equipment by using the AI analysis model. The middleware is adopted to realize effective connection between the power terminal equipment and the power grid management platform, and only the middleware needs to be upgraded and maintained, so that the workload of upgrading and maintaining is reduced.
Description
Technical Field
The invention belongs to the technical field of Internet of things, and particularly relates to an AI enabling cloud edge collaborative middleware and system for an electric Internet of things.
Background
According to the notice of the national grid company No. 106 of national grid company Limited on the establishment scheme of the 2021-year intelligent Internet of things system, the artificial intelligence field needs to combine the application requirements of various professional fields, the unified Internet of things platform, the artificial intelligence platform and the national grid chain are promoted to be integrated and applied, the artificial intelligence algorithm model is sunk to the edge intelligent terminal to be executed, AIOT and trusted acquisition uplink test point demonstration are carried out, and a typical scheme is formed.
However, in the technical field of cloud edge coordination, K8s and Docker technologies are generally adopted to implement customization and tagging of application mirror images, and for service functions in different scenes, a cloud end can select a proper mirror image for different edge nodes when creating applications, so as to implement customization requirements of edge service applications, but the software versions of the edge nodes in different scenes are different, which brings a large workload for software maintenance and upgrade.
Disclosure of Invention
In order to solve the problem of large workload of upgrading and maintaining edge nodes in the existing power industry, the invention provides an AI enabling cloud edge cooperative middleware and a system for the power internet of things.
The invention is realized by the following technical scheme:
the invention provides an AI enabling cloud edge collaborative middleware of an electric power Internet of things, which comprises a northbound interface unit, a southbound interface unit, a control interface unit and an AI analysis unit;
the north interface unit is used for analyzing and converting a message sent by the power grid management platform into a north message, uploading data acquired by the power terminal equipment and an analysis result of the AI analysis unit uploaded by the south interface unit to the power grid management platform, and the north message comprises a terminal equipment information acquisition instruction, a terminal equipment control instruction and an AI analysis instruction;
the southbound interface unit is used for forwarding the terminal equipment information acquisition instruction to the electric power terminal equipment so that the electric power terminal equipment acquires corresponding data according to the terminal equipment information acquisition instruction and receives and analyzes the data uploaded by the electric power terminal equipment;
the control interface unit is used for forwarding the terminal equipment control instruction to the electric power terminal equipment so as to enable the electric power terminal equipment to complete corresponding action according to the terminal equipment control instruction;
and the AI analysis unit is used for responding to the received analysis instruction and analyzing the data collected by the power terminal equipment by using an AI analysis model.
The scheme provides a middleware which provides a north interface unit, a south interface unit and a control interface unit, effectively connects a platform side and an edge side, provides a uniform interface of an access platform for edge side software and protects the existing edge side software investment; only need to carry out the maintenance to the middleware can, reduce work load.
In one possible design, a library of models is also included,
the model library is used for storing AI analysis models;
the northbound message further comprises an AI updating instruction and an AI model corresponding to the AI updating instruction;
the AI analysis unit is further used for updating and storing the AI model into the model library according to the AI updating instruction.
The invention provides a power internet of things AI enabling cloud side cooperation system, which comprises power terminal equipment, a power grid management platform and any one possible power internet of things AI enabling cloud side cooperation middleware in the first aspect, wherein the middleware is in communication connection with the power grid management platform through a northbound interface unit and is in communication connection with the power terminal equipment through the southbound interface unit and the control interface unit.
In one possible design, the power terminal device comprises an image acquisition device and a state perception device.
In one possible design, the power grid management platform comprises an internet of things management platform, a data management platform and an AI model generation platform;
the Internet of things management platform is used for realizing output result management of the AI analysis unit;
the data management platform is used for realizing data management uploaded by the power terminal equipment;
the AI model generation platform is used for realizing the training of the AI analysis model according to the data in the data management platform and sending the trained AI analysis model to the Internet of things management platform so as to update the AI analysis model in the middleware.
In one possible design, the AI model generation platform includes: the platform integrates an application unit, a model training unit and a model conversion unit,
the model training unit is used for realizing the training of an AI analysis model according to the data in the data management platform;
the model conversion unit is used for updating the model according to the AI analysis model obtained by the model training unit;
the platform integration application unit is used for realizing data interaction between the data management platform and the Internet of things management platform and the model training unit and between the data management platform and the model conversion unit.
In one possible design, the power grid management platform further includes an auxiliary control platform, and the auxiliary control platform is configured to generate the terminal device control instruction and issue the terminal device control instruction to the internet of things management platform, so that the corresponding power terminal device completes configuration update according to the configuration parameters in the terminal device control instruction.
Compared with the prior art, the invention at least has the following advantages and beneficial effects:
1. the invention provides a middleware which provides a north interface unit, a south interface unit and a control interface unit, effectively connects a platform side and an edge side, provides a uniform interface of an access platform for edge side software, and only needs to upgrade and maintain the middleware, thereby reducing the workload.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic block diagram of a cloud-edge collaboration system of the present invention;
FIG. 2 is a flow chart of a middleware northbound report in an embodiment of the present invention;
FIG. 3 is a flow chart of a mid-piece southbound acquisition and coordinated control in accordance with an embodiment of the present invention;
FIG. 4 is a flow chart of AI enabling in accordance with an embodiment of the present invention.
Detailed Description
The invention is further described with reference to the following figures and specific examples. It should be noted that the description of the embodiments is provided to help understanding of the present invention, but the present invention is not limited thereto. Specific structural and functional details disclosed herein are merely illustrative of example embodiments of the invention. This invention may, however, be embodied in many alternate forms and should not be construed as limited to the embodiments set forth herein.
It should be understood that, for the term "and/or" as may appear herein, it is merely an associative relationship describing an associated object, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, B exists alone, and A and B exist at the same time; for the term "/and" as may appear herein, which describes another associative object relationship, it means that there may be two relationships, e.g., a/and B, which may mean: a exists independently, and A and B exist independently; in addition, for the character "/" that may appear herein, it generally means that the former and latter associated objects are in an "or" relationship.
It should be understood that specific details are provided in the following description to facilitate a thorough understanding of example embodiments. However, it will be understood by those of ordinary skill in the art that the example embodiments may be practiced without these specific details. For example, systems may be shown in block diagrams in order not to obscure the examples in unnecessary detail. In other instances, well-known processes, structures and techniques may not be shown in unnecessary detail to avoid obscuring the examples.
As shown in fig. 1, a first aspect of the present invention discloses an AI enabling cloud-side collaboration middleware of an electric power internet of things, which includes a northbound interface unit, a southbound interface unit, a control interface unit, and an AI analysis unit.
The north interface unit is used for analyzing and converting a message sent by the power grid management platform into a north message, uploading data acquired by the power terminal equipment and an analysis result of the AI analysis unit uploaded by the south interface unit to the power grid management platform, and the north message comprises a terminal equipment information acquisition instruction, a terminal equipment control instruction and an AI analysis instruction.
The southbound interface unit is used for forwarding the terminal equipment information acquisition instruction to the electric power terminal equipment so that the electric power terminal equipment acquires corresponding data according to the terminal equipment information acquisition instruction and receives and analyzes data uploaded by the electric power terminal equipment.
The control interface unit is used for forwarding the terminal equipment control instruction to the electric power terminal equipment so as to enable the electric power terminal equipment to complete corresponding actions according to the terminal equipment control instruction.
And the AI analysis unit is used for responding to the received analysis instruction and analyzing the data acquired by the power terminal equipment by using an AI analysis model. The AI analysis model can be set according to a specific use scene.
Based on the structure, the middleware also comprises a model library for storing AI analysis models; correspondingly, the northbound message further comprises an AI updating instruction and an AI model corresponding to the AI updating instruction; the AI analysis unit is further configured to update and store the AI model into the model library according to the AI update instruction.
Based on the middleware of the first aspect, as shown in fig. 1, a second aspect of the present invention discloses an AI-enabled cloud-side coordination system for an electric power internet of things, which includes an electric power terminal device, a power grid management platform, and the AI-enabled cloud-side coordination middleware for an electric power internet of things, where any one of the possible aspects of the first aspect may relate to the electric power internet of things, and the middleware is in communication connection with the power grid management platform through a northbound interface unit and is in communication connection with the electric power terminal device through the soutbound interface unit and the control interface unit. The power grid management platform realizes the issuing of a terminal equipment information acquisition instruction, a terminal equipment control instruction and an AI analysis instruction through the middleware, and the middleware realizes instruction execution or instruction forwarding according to the northbound message type, so that the unified centralized management of the power terminal equipment is realized.
Specifically, the power terminal device includes an image acquisition device and a state sensing device. Image acquisition equipment can be in at least one kind in equipment such as camera, removal cloth accuse ball, unmanned aerial vehicle, and state perception equipment can be at least one kind in equipment such as environmental sensor, power sensor, removal cloth accuse ball, smart electric meter, intelligent wearing equipment.
The power grid management platform comprises an internet of things management platform, a data management platform, an AI model generation platform and an auxiliary control platform. The IOT management platform is used for realizing output result management of the AI analysis unit; the data management platform is used for realizing data management uploaded by the electric power terminal equipment; the AI model generation platform is used for realizing the training of the AI analysis model according to the data in the data management platform and sending the trained AI analysis model to the Internet of things management platform so as to update the AI analysis model in the middleware. Correspondingly, the northbound interface unit comprises a reporting interface of the internet of things management platform for realizing data interaction with the internet of things management platform, a data reporting interface for realizing data interaction with the data management platform and an auxiliary control interface for realizing data interaction with the auxiliary control platform.
And the auxiliary control platform is used for generating the terminal equipment control instruction and issuing the terminal equipment control instruction to the Internet of things management platform so as to enable the corresponding power terminal equipment to complete configuration updating according to the configuration parameters in the terminal equipment control instruction. The AI analysis model in the middleware can set a corresponding AI analysis model according to a specific use scene, and correspondingly, the AI model generation platform can generate different AI analysis models according to different use scenes. Specifically, the AI analysis model may be an image analysis model based on images to identify abnormal conditions, and other analysis models may be used.
The AI model generation platform comprises: the system comprises a platform integration application unit, a model training unit and a model conversion unit, wherein the model training unit is used for realizing the training of an AI analysis model according to data in the data management platform; the model conversion unit is used for updating the model according to the AI analysis model obtained by the model training unit; the platform integration application unit is used for realizing data interaction between the data management platform and the Internet of things management platform and the model training unit and between the data management platform and the model conversion unit.
Based on the system structure, the data management platform uses an image or video data management platform as an example to explain the specific operation principle of the data management platform.
The cloud edge collaborative middleware framework comprises a northbound reporting interface unit, a southbound interface unit, a control interface unit, an AI analysis unit and a model library. The northbound reporting interface unit is in butt joint with the communication protocols of all the platforms, analyzes the messages of all the platforms, converts the messages into northbound messages and sends the northbound messages to the southbound acquisition interface and the linkage control interface; and analyzing the northbound messages sent by the southbound acquisition interface and the linkage control interface, and converting the northbound messages into formats required by the report platform protocol. The south interface unit analyzes the north message sent by the north reporting interface and converts the north message into a south message related to the end equipment; the end equipment collects the APP to adapt to the southbound collection and control message standard, sends the southbound message according to the message format, and the southbound collection interface and the linkage control interface convert the southbound message into the northbound message required by the northbound report interface. The AI analysis unit and the model library are adapted to the edge model issued by the Internet of things management platform through an FTPS protocol.
The procedure of the middleware northbound report may be as shown in fig. 2. The flow of the middleware southward collection and linkage control can adopt the flow shown in fig. 3.
The middleware calls an algorithm model of an edge side model library to perform video AI analysis, the analyzed result is fed back to an AI middle platform through an AI analysis message through the Internet of things management platform, and the original video stream is called through the unified video platform through the power grid B interface standard. The AI central office can perform manual verification aiming at the test result and evaluate the analysis effect of the algorithm. And the AI middle platform performs optimization training on the algorithm in the training platform based on the manual check result, manages the version of the edge algorithm model after the trained algorithm model is converted into the AI model which can be operated by the edge side on the platform side, and transmits the version to the edge side model library of the edge equipment through the FTPS protocol without performing edge side repeated configuration. An AI enabling flow chart is shown with reference to fig. 4.
The middleware message MQTT protocol, a subscription and publication mechanism, is generally divided into southbound messages, northbound messages and AI analysis messages. The southbound message is sent to the acquisition end device by the cloud edge collaborative middleware or sent to the cloud edge collaborative middleware by the acquisition end device. The northbound message is sent to the platform by the cloud side collaboration middleware or sent to the cloud side collaboration middleware by the platform. The AI analysis message comprises an AI analysis message executed by the middleware, an AI analysis result and an AI model issuing.
Southbound messages topics are fixed starting with rte/south/northbound messages topics are fixed starting with rte/normal/AI and AI analysis topics are fixed starting with rte/AI. The request message starts with req and the reply message starts with res.
The message topic list is as follows:
the general format of the message content is as follows:
with the above system, at least the following advantages are specified:
1. the system comprises an Internet of things management platform, an artificial intelligence platform and a unified video platform, wherein the Internet of things management platform, the artificial intelligence platform and the unified video platform are communicated, integrated application among the platforms is promoted, sample data is provided for the artificial intelligence platform through the video platform or the Internet of things platform, model issuing and result feedback are achieved through the Internet of things platform, advantage integration can be achieved, efficient utilization of resources is facilitated, and a foundation is provided for unified management evolution of an algorithm model.
2. The cloud edge collaborative middleware software framework can be issued to the edge side equipment through the internet of things management platform and automatically installed and operated. The cloud edge provides a uniform interface in cooperation with the middleware software framework, the platform side and the edge side are effectively connected, the uniform interface of the access platform is provided for edge side software, and the existing edge side software investment is protected.
3. The artificial intelligence platform realizes the compression optimization of the AI model, the Internet of things platform issues the AI model to the cloud edge cooperative middleware, and the artificial intelligence algorithm is sunk to the edge equipment for execution through the middleware interface, so that the timeliness and the real-time performance of the algorithm are improved.
4. The traditional edge Internet of things agent technology is well utilized by the AI enabling cloud edge collaborative middleware technology in the power industry, the cloud edge collaborative function is added on the basis, and under the condition of low cost (an edge side user APP only needs to develop a small amount of adaptive middleware southbound interfaces and keeps the original APP unchanged), the AI collaborative and AI inference capabilities can be possessed, and the AI collaborative and AI inference method has high popularization value.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: modifications may be made to the embodiments described above, or equivalents may be substituted for some of the features described. And such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (7)
1. An AI enabling cloud edge collaborative middleware of an electric power Internet of things is characterized by comprising a northbound interface unit, a southbound interface unit, a control interface unit and an AI analysis unit;
the north interface unit is used for analyzing and converting a message sent by the power grid management platform into a north message, uploading data acquired by the power terminal equipment and an analysis result of the AI analysis unit uploaded by the south interface unit to the power grid management platform, and the north message comprises a terminal equipment information acquisition instruction, a terminal equipment control instruction and an AI analysis instruction;
the southbound interface unit is used for forwarding the terminal equipment information acquisition instruction to the electric power terminal equipment so that the electric power terminal equipment acquires corresponding data according to the terminal equipment information acquisition instruction and receives and analyzes the data uploaded by the electric power terminal equipment;
the control interface unit is used for forwarding the terminal equipment control instruction to the electric power terminal equipment so as to enable the electric power terminal equipment to complete corresponding actions according to the terminal equipment control instruction;
and the AI analysis unit is used for responding to the received analysis instruction and analyzing the data acquired by the power terminal equipment by using an AI analysis model.
2. The AI-enabled cloud-edge collaboration middleware of claim 1 further comprising a model library,
the model library is used for storing AI analysis models;
the northbound message also comprises an AI updating instruction and an AI model corresponding to the AI updating instruction;
the AI analysis unit is further configured to update and store the AI model into the model library according to the AI update instruction.
3. An electric power Internet of things AI enabling cloud edge collaborative system is characterized by comprising electric power terminal equipment, a power grid management platform and the electric power Internet of things AI enabling cloud edge collaborative middleware of any one of claims 1 to 2, wherein the middleware is in communication connection with the power grid management platform through a northbound interface unit and is in communication connection with the electric power terminal equipment through the southbound interface unit and the control interface unit.
4. The AI-enabling cloud-edge coordination system for the electric power internet of things as claimed in claim 3, wherein the electric power terminal device comprises an image acquisition device and a state perception device.
5. The AI-enabling cloud-edge coordination system for the electric power internet of things according to claim 3, wherein the power grid management platform comprises an internet of things management platform, a data management platform and an AI model generation platform;
the IOT management platform is used for realizing output result management of the AI analysis unit;
the data management platform is used for realizing data management uploaded by the electric power terminal equipment;
the AI model generation platform is used for realizing the training of the AI analysis model according to the data in the data management platform and sending the trained AI analysis model to the Internet of things management platform so as to update the AI analysis model in the middleware.
6. The AI-enabled cloud-edge collaboration system according to claim 5, wherein the AI model generation platform comprises: a platform integration application unit, a model training unit and a model conversion unit,
the model training unit is used for realizing the training of an AI analysis model according to the data in the data management platform;
the model conversion unit is used for updating the model according to the AI analysis model obtained by the model training unit;
the platform integration application unit is used for realizing data interaction between the data management platform and the Internet of things management platform and the model training unit and between the data management platform and the model conversion unit.
7. The AI-enabling cloud-edge coordination system for the electric power internet of things according to claim 5, wherein the power grid management platform further comprises an auxiliary control platform, and the auxiliary control platform is configured to generate the terminal device control command and issue the terminal device control command to the internet of things management platform so that the corresponding electric power terminal device completes configuration update according to the configuration parameters in the terminal device control command.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210886541.3A CN115242635A (en) | 2022-07-26 | 2022-07-26 | AI enabling cloud edge collaborative middleware and system of power internet of things |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210886541.3A CN115242635A (en) | 2022-07-26 | 2022-07-26 | AI enabling cloud edge collaborative middleware and system of power internet of things |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115242635A true CN115242635A (en) | 2022-10-25 |
Family
ID=83674442
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210886541.3A Pending CN115242635A (en) | 2022-07-26 | 2022-07-26 | AI enabling cloud edge collaborative middleware and system of power internet of things |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115242635A (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104410662A (en) * | 2014-10-23 | 2015-03-11 | 山东大学 | Parallel mass data transmitting middleware of Internet of things and working method thereof |
| CN109491341A (en) * | 2018-11-28 | 2019-03-19 | 北京迈斯康特测控技术有限公司 | Monitoring and data analysis system for oil field operation equipment |
| CN113872328A (en) * | 2021-09-26 | 2021-12-31 | 国网安徽省电力有限公司铜陵供电公司 | Transformer substation remote intelligent inspection method and system based on neural network |
| CN114666682A (en) * | 2022-03-25 | 2022-06-24 | 陈同中 | Multi-sensor Internet of things resource self-adaptive deployment management and control middleware |
-
2022
- 2022-07-26 CN CN202210886541.3A patent/CN115242635A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104410662A (en) * | 2014-10-23 | 2015-03-11 | 山东大学 | Parallel mass data transmitting middleware of Internet of things and working method thereof |
| CN109491341A (en) * | 2018-11-28 | 2019-03-19 | 北京迈斯康特测控技术有限公司 | Monitoring and data analysis system for oil field operation equipment |
| CN113872328A (en) * | 2021-09-26 | 2021-12-31 | 国网安徽省电力有限公司铜陵供电公司 | Transformer substation remote intelligent inspection method and system based on neural network |
| CN114666682A (en) * | 2022-03-25 | 2022-06-24 | 陈同中 | Multi-sensor Internet of things resource self-adaptive deployment management and control middleware |
Non-Patent Citations (1)
| Title |
|---|
| 冉崇善;蒋中强;: "电力EAM***中数据库中间件的研究与设计", 计算机工程与设计, no. 22 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112333227B (en) | Internet of things platform of mixed type protocol based on rule engine | |
| CN111835826A (en) | Cloud edge cooperative linkage system suitable for smart internet of things system | |
| CN114553873B (en) | SOA-based vehicle-cloud cooperative control system, method and readable storage medium | |
| CN110933146B (en) | Data conversion method and device and server | |
| US20220086052A1 (en) | Intelligent management method and system based on edge computing | |
| CN110733038A (en) | Industrial robot remote monitoring and data processing system | |
| CN112764835A (en) | Electric power Internet of things sensing equipment configuration micro-service system and method based on edge calculation | |
| CN106254468B (en) | A kind of control system and method for intelligent back vision mirror | |
| CN114567620B (en) | Digital model and physical equipment matching system and method based on MQTT protocol | |
| CN114338484B (en) | Optical network performance data fusion acquisition method, device, equipment and storage medium | |
| CN115473947A (en) | Data acquisition method and device based on cloud edge cooperation and server | |
| CN113362037A (en) | Coal mine intelligent management system and method based on edge cloud | |
| CN115242635A (en) | AI enabling cloud edge collaborative middleware and system of power internet of things | |
| CN112543190B (en) | System and method for realizing cloud edge interaction acquisition control based on script technology | |
| CN115412403B (en) | Intelligent gateway based on cloud edge cooperation | |
| CN108924773B (en) | Message processing method and device | |
| CN116193295A (en) | Multi-element Internet of things data fusion and unified data processing method | |
| CN114327689B (en) | Strategy scheduling method and system for complex edge computing environment | |
| CN110647396A (en) | Method for realizing intelligent application of end cloud cooperative low-power consumption and limited bandwidth | |
| CN115934327A (en) | Distributed interactive cooperation method for industrial edge server application | |
| CN113655764A (en) | Cloud edge cooperative control system and control method | |
| CN103269327A (en) | Method for realizing general file data service based on agent mechanism | |
| CN112687267A (en) | Internet of things data semantic processing system | |
| CN115037807B (en) | Method and system for integrating DDS protocol on industrial robot service bus | |
| CN112486700B (en) | Communication method, device 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 |