CN109787805A - Intelligent household energy management system based on cloudy collaboration - Google Patents
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Abstract
The present invention provides a kind of Intelligent household energy management system framework based on cloudy collaboration, which is household electrical appliances, the collaboration data communication between Intelligent household energy source gateway, household appliances manufacturer's cloud platform and cloud agency provides solution.The present invention is designed Intelligent household energy management system framework, file cooperation and interactive mode carry out architecture design when for information exchange, the algorithm of across cloud transmission data is optimized, deployment way is acted on behalf of by the cloud based on optimal flux, across the cloud data transmission optimized scheduling that more transfer copies are migrated to single cloud and centralized cloud, the data stream scheduling algorithm between the agency of most short task priority principle and the file Cooperation controlling Mechanism Design based on hash-collision treatment mechanism are first obtained based on arriving first, realize the uniformly coordinated control under different scenes to intelligent appliance, for the control of home energy source intelligent scheduling, Collaborative Control scheme is formed to lay the foundation.
Description
Technical field
The present invention relates to intelligent power fields, more particularly to a kind of Intelligent household energy management system based on cloudy collaboration
System framework.
Background technique
Along with the fast development of smart grid, the use of simple household electrical appliance has been unable to satisfy people's daily life work
Needs, the factors such as the household electrical appliance performance and the operation reserve that influence users'comfort are proposed more and more
It is required that scientific and technical development promote part household electrical appliance innovation trend also from traditional manual control, semiautomatic control to
Automatic intelligent control direction is developed, and develops to Intelligent household energy management system.
Cloud computing is the increase, use and delivery mode of related service Internet-based, is usually directed to and passes through internet
To provide the resource of dynamic easily extension and often virtualization；Available, convenient and fast, on-demand network access is provided, into can
The computing resources shared pool (resource includes network, server, storage, application software, service) of configuration, these resources can be by
It quickly provides, only need to put into seldom management work, or carry out seldom interaction with service supplier.
Important component of the controlling intelligent household appliances as Intelligent household energy management system, while it is also home energy source
The object of management system measurement movement.With regard to the management control of single household electrical appliance, there are diversified forms, such as air-conditioning at present
Management system, water heater control system etc., but individually single electric appliance is operated by each manufacturer's cloud platform, it does not meet
The features such as smart home convenience and economic and practical, thus by integrating household electrical appliance in a manner of certain approach,
Have great importance for smart home unified management control.
Intelligent household energy management system framework based on cloudy collaboration provides a kind of systematization solution unified management control
The solution that family processed can control and coordinate.
Summary of the invention
In order to overcome the above-mentioned deficiencies of the prior art, the present invention provides a kind of feasible method across cloud cooperation.In the present invention
We attempt to realize good user's perceptual performance for across cloud cooperation.Firstly, for each cloud, we can always dispose one
A or multiple nearby (client) agency, these agencies can efficiently access webpage API.Secondly, in the interaction of smart home
During cooperation, transmit between the different editions of information that there are significant similitudes.This can be utilized between significant reduction agency
Therefore flow simultaneously shortens data synchronization time.
Cloud service agency needs the Virtual Service portal between multiple cloud service providers and cloud service server.Cloud service
Proxy gateway allows corresponding service provider to specify available service.In addition, cloud service consumer can service through consultation
On agreement find most suitable service.Cloud service agency provides as a kind of emerging technology for supplier and consumer
The cloudy service of isomery.In the present invention, we have proposed a kind of cloudy Services Broker Architectures based on webpage API, with branch
Hold different supplier and consumer.
The technical scheme adopted by the invention is that a kind of Intelligent household energy management system framework based on cloudy collaboration,
As shown in Fig. 1.
1. the Intelligent household energy management system framework based on cloudy collaboration
The framework by household electrical appliance, the corresponding producer's cloud platform of household electrical appliance, Intelligent household energy source gateway, act on behalf of cloud platform and constitute.
Nowadays each household appliances manufacturer is proposed the app and platform for carrying oneself electrical control system, and can freely control on platform has
The online electric appliance of Wi-Fi linkage function.But since each producer's interface is different and the confidentiality of user information, at present can not
Realize that sending instruction by single platform controls all electrical appliances of family, and it is proposed by the present invention based on acting on behalf of cloud webpage
The framework of API can realize being uniformly controlled for household internal electrical appliance.
With reference to the accompanying drawings 1, household electrical appliance carry out data interaction, while each household electrical appliances by Wi-Fi and Intelligent household energy source gateway
It is controlled by the cloud platform of respective producer.Intelligent household energy source gateway carries out data interaction, uplink household electrical appliances status information with cloud is acted on behalf of
And receive to act on behalf of the supervisory control signals of cloud downlink.The cloud platform of each producer can choose its cloud by the strategy such as optimum bandwidth
Agency, each cloud agency, which shares to constitute, acts on behalf of cloud.In acting on behalf of cloud, each cloud agency can free communication obtain information, to be
It carries out comprehensively considering household internal energy adjusting offer condition.By acting on behalf of the interaction of cloud internal information and the proposition of strategy,
It obtains the scheme of Intelligent household energy management and is issued to Intelligent household energy source gateway, control is managed to household electrical appliances.It is right below
Cloud internal data transfer mode is acted on behalf of to be described in detail.
2. file cooperation and interactive mode framework
File cooperation and interactive mode framework are based on component Intelligent household energy source gateway, the friendship between household electrical appliances cloud platform and cloud agency
Mutually realize entire file cooperation.Detailed system framework is as shown in Fig. 2, and the functional overview of each component is as follows.
Intelligent household energy source gateway: the client-side program on user terminal is lightweight, and follows subscription/push mould
Formula.User is based on 2.0 frame authorization of OAuth by subscribing to authorization quotient when carrying out home energy source management.The token of return and control
Teamworker's list in control server stores together.After the completion of initial setting up, file updates monitor and captures cloud local client
Synchronization folder in change (rather than wait cloud readjustment server), and from other clouds of trend request synchronized update
File.
Cloud agency: cloud interface on each cloud agency passes through the API of cloud or some internal API that we detect and corresponding
Cloud interact.Protocol handling program is responsible for carrying out data transmission optimizing between peer agent using high-level transmission protocol.
In addition, measurement agent periodic measurement link bandwidth is acted on behalf of with picking out suitable cloud, and the available bandwidth of agency is fed back in time
Assigned to control server with carrying out transmission workload.The data transfer engine file that correspondingly planned transmission notifies updates.
Control server: control server receives logical between Intelligent household energy source gateway, household electrical appliances cloud platform and cloud agency
Know processing information, data stream scheduling information, data management information and the storage for carrying out related data, and relevant information is carried out
It collects and distributes.
3. across cloud data transmission optimized scheduling
In view of cloud agency can suffer from the temporarily poor influence of the network performance from/to multinode cloud, the present invention is each
Multinode cloud disposes the low agency of one group of delay, and can periodically select optimal agency.In fact, if we simultaneously
Assign the workload of request using multiple agencies, then the transmission of across cloud data can advanced optimize.Since control services
Device has had collected three groups of waiting time (i.e. the downloading delay of source cloud, transmission delay between the upload delay of target cloud and agency),
It can calculate the bandwidth of each link, then establish an orientation acyclic graph (DAG) as shown in attached drawing 3 and attached drawing 4, chain
Road bandwidth is labeled as side right weight.Then, our target is to determine the multiple generations for reducing total transmission delay to the maximum extent
Reason.
The problem is attributed to maximum flow problem by the present invention, because being related to optimum flow (or workload) distribution.But
It is that we show that maximum stream flow solution is unavailable here.Firstly, these solutions (algorithm) are absorbed in source and mesh
The flowing between cloud node is marked, and solves all available cloud nodes and will lead to sizable expense.Importantly, above-mentioned
Transport protocol requires to download files into agency before transmission agency between agency, and can after repeated data elimination or compression
The data flow of energy, which is reduced, violates flow conserva-tion principle.On the contrary, we design the heuristic transmission optimization algorithm of two steps herein, with
Transmission delay is reduced to close to minimum.
Detailed description of the invention
Fig. 1 is overall architecture schematic diagram of the invention；
Fig. 2 is the cooperation of across cloud transmission file and interactive mode framework；
Fig. 3 is the me common networlc topologies between two multinode clouds；
Fig. 4 is the transmission process of centralized cloud migration.
Specific embodiment
The following further describes the present invention with reference to the drawings.
1. cloud acts on behalf of deployment scheme
One or more agencies are disposed near each cloud to realize effective data access, so that cloud network frame is acted on behalf of in building
Structure.Specifically, for the personal cloud with centralized server (centralized cloud) of main display space performance change, originally
Invention uses two agencies for stablizing low load and upload transfers delay as source agency and target proxy respectively.For using
The personal cloud of multiple fringe nodes (multinode cloud), optimum performance is temporarily to realize that the present invention passes through by different nodes
Following methods selection agency.
Initially, we are by the domain names of a large amount of dns resolution clouds, to obtain the complete list of its fringe node.Then, will
One STFThe test file of size upload to these nodes and from these nodes download and the cloud of geographical distribution agency between into
Row transmission, to measure the delay T of each link1.The total bandwidth ω of link l can pass through STF/T1To estimate.When in order to solve
Between the problem of changing, delay measurements are periodically completed, and the grouping of these values is then fed back to control server.Therefore, will have
Having some agent selections of highest downloading or uploading bandwidth (i.e. minimum waiting time) is nearest cloud node as each cloud
Source or destination agency.In practice, we select delay less than 10% agency of minimum.Based on these agencies, across cloud
Data transmission further optimizes for the design of multinode cloud.
2. across cloud data transmission optimized scheduling
Here we mainly consider the topology of the general networking between two multinode clouds, wherein agency can be two cloud work.
Assuming that the size of current work load is w, the sum of Yun Daili is n.It shifts bandwidth and is used as BW between i and jij。
As shown in Fig. 3, the first step is using multiple agencies simultaneously from nearest cloud node download part workload, so
These workloads are converged into some agency afterwards.Workload distribution can be expressed as
Due to using above-mentioned transport protocol between agency, it is C that we, which are defined as computing capability, hereinij(C under normal conditionsijIt is true
Definite value), η=(1- γ)/β is to predict the rate of transform according to agreement history file feature, then by acting on behalf of i from source cloud to acting on behalf of j
The transmission time of workload are as follows: tij=ωi*(1/BWsi+η/BWij+1/Cij)。
It note that when agency serves two clouds, do not need to shift (i.e. ω between being acted on behalf ofi=BWii=0).It is aobvious
So, only as all tijIt is equal and they can use tjWhen expression, workload distribution can be only achieved optimal.
Then, second step is to determine suitable agency, and workload is summarized and uploads to target cloud.Due to only a small number of
Deployment agency, we can enumerate them simply to obtain optimal complete trails estimation.Specifically, for selected transmission service
Device j, overall transmission time tj+ω/BWjd.In this way, there is the j that acts on behalf of of minimum total transition time to be confirmed as work
Load the target cloud agency of ω.
More transfer copies are to a cloud.In most cases, file needs and multiple users from same target cloud
It cooperates.For supporting some personal clouds of file collaboration services, the best way is only to be transferred to these duplicates of the document
Shared Folders in these target users, then they can use the coordination mechanism of cloud oneself.But still have
Personal cloud is primarily used for data backup, file can not be supported to cooperate well.It is more for the cloud that these cooperations are not supported
A duplicate of the document is inevitably transferred to the same target cloud.In particular, present invention download agent, and only pass through
Selected upload agency transmits multiple copies.This mechanism can reduce entire transmission time, only t wellj+m*ω/
BWjdM copy could be uploaded to target cloud.
It is migrated by centralized cloud.Above-mentioned transmission optimization algorithm can be in multinode cloud (cloud with distributed node) x
It is used between centralized cloud (in one location with the cloud of centralized server) y, and almost without modification.For from
The data of cloud x to cloud y are transmitted, only difference is that the present invention selects agency to carry out data upload, and just with former deployment
Target cloud agency.On the contrary, being transferred to cloud x from cloud y for data, entire file is acted on behalf of by unique source code cloud and is downloaded, and
And a target cloud agency is only determined according to the minimum total transmission time.Corresponding transmission process is as shown in Fig. 4.
3. data stream scheduling algorithm between agency
During the cooperation of actual file, as long as user updates file, data should occur immediately and synchronize, it is better to obtain
User experience and reduction version conflict.However, extensive across cloud data flow caused by extensive paper work load may
Heavy expense can be brought to all agencies.Above-mentioned transmission optimization is directed to the agency of given quantity, opens without consideration system
Pin, it is thus possible to scalability requirement is unable to satisfy, especially for sudden workload.Therefore, next we design
The two stages on-line Algorithm of data stream scheduling algorithm between one entitled agency, including update priority distribution and paper work
Load dispatch to guarantee good acceptable cooperation experience, while being reduced as far as overhead.
First stage is in file update notification.Each notice includes updating operation, arrival time stamp and corresponding file member
Data.They are added in the message queue priority-based of entitled notification queue.In this stage, we pass through tune
Sequence (i.e. distribution priority) Lai Youhua overall performance of whole processing notification.
Arriving first and first obtaining (FCFS) and most short task preferential (STF) is two kinds of typical scheduling strategies.They attempt to pass through peace
Some tasks are arranged to fulfil ahead of schedule to optimize the entire deadline.It all may serious reduction property however, directlying adopt any strategy
Can: FCFS is used, even if slightly later than large-scale task, small task also has to wait for for a long time；For STF, when
When many small tasks are constant, large-scale task may not be able to be completed.
In our scene, user is not so good as small documents to the cooperation timeliness of big file.Therefore, we update file
Arrival time and file size are taken into account.File update priority (FUP) is defined as following virtual deadline measurement mark File update k, wherein tAIt is stabbed corresponding to arrival time additional in file update notification,
tOTExpression size is SfFile overall across cloud transmission time.
In view of general across the cloud transmission topology in attached drawing 3, there are two the specified i and j that acts on behalf of, (workload is dispatched to tool
Agency will be described later), it can be by tOTIt is estimated as tOT=Sf*(1/BWsi+η/BWij+1/Cij+1/BWjd), wherein from regular
Measurement or the prediction of file history feature are obtained from source cloud BWsiDownload bandwidth arrives target cloud BWjdUploading bandwidth, pass between agency
Defeated bandwidth BWij, computation rate CijWith transmission rate h.It note that when proxy server while when serving two cloud, be not required to
It is transmitted between acting on behalf of, S can be passed throughf*(1/BWsi+1/BWjd) calculate tOT。
It is noted that the cooperative operation as being deleted file creation and file is not related to across cloud data transmission,
Therefore they can simply be acted on behalf of by target cloud and be completed.Correspondingly, the present invention is that they are provided with a fixed small tOT
Value, therefore these low cost operations are most likely at the pre-treatment of general file operation (creation or modification).
In second stage, FUP order update notification by source cloud (or target cloud carry out file creation and file delete
Operation) classify, and be added in different cloud buffer queues.For given cloud, when queue is relatively short, only
Two proxy servers with highest download/upload bandwidth are for operating cloud.The processing thread of each cloud queue is pressed
Sequence notifies corresponding agents document to update.All different files acted on behalf of while uploading and downloading with multiple threads, to fill
Divide and utilizes its available bandwidth.Meanwhile background thread monitors the real-time available bandwidth BW in each agencya, to avoid due to too many
Concurrent paper work loads and leads to congestion.
The present invention uses scheme using Adaptive proxy.In order to balance the timely of sudden workload and overhead
Property, further one Adaptive proxy of design uses scheme herein for we.When there is no the job agency band of fixed cycle
It, will be using other agencies when wide insufficient.
4. file Cooperation controlling mechanism
In order to further increase cooperation efficiency and guarantee the consistency of data, client and control server all use additional
Controlling mechanism and local redundancy update elimination mechanism.We consider that the control in Intelligent household energy source gateway optimizes first.Cooperation
Catalogue is by local file system interface monitors, and control server Periodic Notice batch documents update.This avoids frequently logical
The sizable expense known, wherein updating inquiry poll or cloud callback mechanism, this is usually by similar IFTTT (If This Then
That centralization forwarding architecture) uses.Importantly, being buffered in since file updates operation in interim
File updates in queue, therefore can locally eliminate some redundancies or unnecessary update (for example, once deleting or to phase
Another modification operation with file then occurs, then file modification operation is removed).This elimination mechanism can be in suitable journey
It is reduced on degree and really updates workload.
The present invention uses the Mechanism of Conflict Among based on Hash.In addition, FileVersion control is only limitted to as Premium Features
The local cooperation of most of clouds, without providing public API.But when the file version in the cloud that each user is successfully updated oneself
This when, version conflict are likely to occur in cooperation, and these versions can notify to carry out across cloud transmission simultaneously.In order to reduce
Control overhead simultaneously guarantees scalability, and the present invention is asked by lightweight based on the Mechanism of Conflict Among of hash to solve consistency
Topic, rather than database lock mechanism or the qurum Lock-Up Agreement based on Paxos.We are described below machine in detail below
System.
The Hash table of entitled clash handle Hash table is safeguarded in memory, stores the Kazakhstan of the file update notification handled
Uncommon index.Before reaching update notification and being added to notification queue, hashed value is by based on filename and cooperative groups ID
MD5 algorithm come what is calculated, these are attached in file metadata.When multiple update notifications of same file are simultaneously from not
With cloud user when, the people reached earliest will possess the project in clash handle Hash table.This is considered as correct version
This, and other versions reached later can all encounter hash collision to same hash project.The version of this conflict will be weighed
It names and moves to the backup file of the owner to avoid replacement problem is lost.Meanwhile file punching can be sent to the owner in time
Prominent prompt and corresponding backup file, are then merged into original right version for conflict file manually.
On the other hand, it is updated until from file of the target cloud agency feedback to all teamworkers, correct FileVersion will
Holding possesses corresponding hash index (being defined as lease).Lease terminates, and then hashes item and is removed, so that unlock is to identical
The subsequent operation of file.It note that the new version of the file reached during lease is also regarded as conflict version, therefore it
Will not be transferred to teamworker, but backup to the owner.In addition, if there is no new file at the end of current lease more
New notice reaches, then can retransmit and extend the rent of hash index for notification queue by renaming update notification
Update about to solve failure.But extension lease is unprotected, reaches as long as there is new file to update, which ties immediately
Beam (with the cancellation transmitted again).Such design can prevent hash index due to error of transmission and long-term out-of-date, and
Also assure the fairness between different FileVersions.Other than handling conflict, this mechanism based on hash can also be
Redundant file is deleted when caching previously updates updates (similar to local deleting mechanism above).
The present invention provides a kind of Intelligent household energy management system framework based on cloudy collaboration, the framework be household electrical appliances,
Data communication cooperation between Intelligent household energy source gateway, manufacturer's cloud platform and cloud agency provides scheme.By to cloud generation
Manage Jie of data stream scheduling algorithm and file Cooperation controlling mechanism between deployment scheme, across cloud data transmission optimized scheduling, agency
It continues, completes the design to framework.
Particular embodiments described above has carried out further the purpose of the present invention, technical scheme and beneficial effects
It is described in detail, it should be understood that the above is only a specific embodiment of the present invention, is not intended to restrict the invention,
All within the spirits and principles of the present invention, any modification, equivalent substitution, improvement and etc. done should be included in of the invention
Within protection scope.
Claims (3)
1. a kind of Intelligent household energy management system framework based on cloudy collaboration, it is characterised in that: in the architecture of proposition
In, there are three primary clustering, i.e., the corresponding producer's cloud platform of household electrical appliance, household electrical appliance, Intelligent household energy source gateway, to act on behalf of cloud flat
Platform；Data stream scheduling algorithm and file cooperation the framework acts on behalf of deployment scheme, across cloud data transmission optimized scheduling, agency to cloud
Controlling mechanism is designed the intelligent management for realizing home energy source.
2. comprehensive Intelligent household energy management system according to claim 1 devises file cooperation and interactive mode frame
Structure is mainly made of Intelligent household energy source gateway, cloud agency and control server；In Intelligent household energy source gateway, user terminal
On client-side program be lightweight, and follow subscription/push mode；Cloud interface in cloud agency, on each cloud agency
It is interacted by the API of cloud or some internal API detected with corresponding cloud；And control server receives Intelligent household energy
Notifier processes information between source gateway, household electrical appliances cloud platform and cloud agency, data management information and carries out data stream scheduling information
The storage of related data, and relevant information is collected and is distributed.
3. according to claim 1, across the cloud data transmission optimized scheduling of architecture design described in 2, selection and generation to agency
Interactive mode between reason is introduced；
3.1 clouds act on behalf of deployment scheme:
For the personal cloud with centralized server (centralized cloud) of main display space performance change, the present invention makes respectively
Two of stable low load and upload transfers delay are used to act on behalf of as source agency and target proxy；For using multiple fringe nodes
The personal cloud of (multinode cloud), optimum performance are temporarily to realize that the present invention selects by the following method by different nodes
Agency；
3.2 across cloud data transmission optimized schedulings:
Across cloud transmission, multiple transfer copies a to cloud and the centralized cloud migration of progress are carried out by two ways；It is wherein mostly secondary
Originally it is transferred in the mode of a cloud, multiple copies, this machine is transmitted by selected upload agency with download agent, and only
System can reduce entire transmission time well；In the mode of centralized cloud migration, for being passed from source cloud to the data of purpose cloud
Defeated, the present invention selects agency to carry out data upload, and acts on behalf of just with the target cloud disposed in the past；On the contrary, for data, from
When purpose cloud is back to source cloud, entire file is acted on behalf of by unique source code cloud and is downloaded, and only according to the minimum total transmission time
Determine a target cloud agency；
Data stream scheduling algorithm between 3.3 agencies:
First stage, each notice included updating operation, arrival time stamp and corresponding file metadata in file update notification；
They are added in the message queue priority-based of entitled notification queue；
In this stage, we by adjusting processing notification sequence (i.e. distribution priority) Lai Youhua overall performance；
In second stage, update notification is divided by source cloud (or target cloud carries out file creation and file delete operation)
Class, and be added in different cloud buffer queues；
For given cloud, when queue is relatively short, two proxy servers only with highest download/upload bandwidth are used
It is operated in cloud；
The processing thread of each cloud queue notifies corresponding agents document to update in order；
All different files acted on behalf of while uploading and downloading with multiple threads, to make full use of its available bandwidth；
Meanwhile background thread monitors the real-time available bandwidth in each agency, loads to avoid due to too many concurrent paper work
And lead to congestion；
3.4 file Cooperation controlling mechanism:
The present invention uses the Mechanism of Conflict Among based on Hash；
In addition, FileVersion control is only limitted to the local cooperation of most of clouds, without providing common application journey as Premium Features
Sequence interface；But when the FileVersion in the cloud that each user is successfully updated oneself, version conflict is likely in cooperation
Occur, and these versions can notify across cloud transmission simultaneously；In order to reduce control overhead and guarantee scalability, the present invention passes through
Lightweight solves consistency problem based on the Mechanism of Conflict Among of hash, rather than database lock mechanism or locking are assisted
View.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110290035A (en) * | 2019-06-27 | 2019-09-27 | 四川长虹电器股份有限公司 | A kind of wisdom family data storage access method and system based on K3S |
| CN111639788A (en) * | 2020-04-29 | 2020-09-08 | 国网浙江省电力有限公司湖州供电公司 | Electric water heater operation optimization scheduling algorithm considering cost and comfort |
| CN112087522A (en) * | 2020-09-18 | 2020-12-15 | 北京航空航天大学 | Edge cloud collaborative flow arrangement system for industrial robot data processing |
| CN112468584A (en) * | 2020-11-26 | 2021-03-09 | 莫毓昌 | Edge cloud industrial data management system and method based on publish-subscribe mechanism and time delay analysis |
| CN112558974A (en) * | 2019-09-26 | 2021-03-26 | 罗克韦尔自动化技术公司 | Systems, methods, and computer media for collaborative development of industrial applications |
| CN115996230A (en) * | 2023-03-22 | 2023-04-21 | 北京源堡科技有限公司 | Cross-cloud data synchronization method and device, computer equipment and readable storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110290035A (en) * | 2019-06-27 | 2019-09-27 | 四川长虹电器股份有限公司 | A kind of wisdom family data storage access method and system based on K3S |
| CN110290035B (en) * | 2019-06-27 | 2021-05-11 | 四川长虹电器股份有限公司 | Intelligent family data storage and access method and system based on K3S |
| CN112558974A (en) * | 2019-09-26 | 2021-03-26 | 罗克韦尔自动化技术公司 | Systems, methods, and computer media for collaborative development of industrial applications |
| CN112558974B (en) * | 2019-09-26 | 2024-02-27 | 罗克韦尔自动化技术公司 | System, method, and computer medium for collaborative development of industrial applications |
| CN111639788A (en) * | 2020-04-29 | 2020-09-08 | 国网浙江省电力有限公司湖州供电公司 | Electric water heater operation optimization scheduling algorithm considering cost and comfort |
| CN112087522A (en) * | 2020-09-18 | 2020-12-15 | 北京航空航天大学 | Edge cloud collaborative flow arrangement system for industrial robot data processing |
| CN112087522B (en) * | 2020-09-18 | 2021-10-22 | 北京航空航天大学 | Edge cloud collaborative flow arrangement system for industrial robot data processing |
| CN112468584A (en) * | 2020-11-26 | 2021-03-09 | 莫毓昌 | Edge cloud industrial data management system and method based on publish-subscribe mechanism and time delay analysis |
| CN112468584B (en) * | 2020-11-26 | 2022-06-17 | 莫毓昌 | Edge cloud industrial data management system and method based on publishing and subscribing mechanism and time delay analysis |
| CN115996230A (en) * | 2023-03-22 | 2023-04-21 | 北京源堡科技有限公司 | Cross-cloud data synchronization method and device, computer equipment and readable storage medium |
| US12001818B2 (en) | 2023-04-21 | 2024-06-04 | Rockwell Automation Technologies, Inc. | Extensible IDE platform with open APIs |
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Application publication date: 20190521 |