CN102769672B - Microgrid cloud monitoring method and system - Google Patents
Microgrid cloud monitoring method and system Download PDFInfo
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- CN102769672B CN102769672B CN201210251151.5A CN201210251151A CN102769672B CN 102769672 B CN102769672 B CN 102769672B CN 201210251151 A CN201210251151 A CN 201210251151A CN 102769672 B CN102769672 B CN 102769672B
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
- Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/20—End-user application control systems
- Y04S20/242—Home appliances
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Abstract
The invention discloses a microgrid cloud monitoring system comprising a cloud computing platform, a microgrid device terminal and a client side, wherein the microgrid device terminal comprises a microgrid device, a device information collecting, executing and driving module and a terminal communication interface; the cloud computing platform comprises a cloud computing processor, a cloud knowledge base, a cloud data base, a formatting module and an analysis module, wherein the formatting module is used for obtaining standard digital information by converting running state data and client side visiting, scheduling and controlling commands; the cloud computing processor is used for working out control strategy information for executing the microgrid device according to the cloud knowledge base, the cloud data base and the standard digital information; and the analysis module is used for converting and analyzing the control strategy information to a control command which can be recognized by the microgrid device. The microgrid device is monitored by the cloud computing platform; therefore the increase of extra hardware upgrading cost caused by the upgrading of the microgrid control technology can be avoided. The microgrid cloud monitoring system has the advantages of low cost and high running speed of data processing.
Description
Technical field
The present invention relates to communication technical field, in particular, relate to microgrid cloud method for supervising and system.
Background technology
In recent years along with the aggravation of the crisis of the fossil energy such as coal, oil and greenhouse effect, national governments accelerate the regenerative resource such as wind energy, solar energy development progress.But because wind-powered electricity generation, solar power generation distributed new forms of energy are all intermittent energy source, electrical network is impacted comparatively large, challenge is proposed to the large-scale application of the new forms of energy such as wind-powered electricity generation and solar energy power generating.Micro-capacitance sensor, as guarantee photovoltaic generation, the application of wind power generation distributed energy large-scale grid connection, improves the advanced technology of distributed power source permeability, and receive various countries and pay attention to, national governments or esbablished corporation provide funds to establish a large amount of micro-capacitance sensor demonstration projects one after another.
Micro-capacitance sensor is the low voltage electric network of the grid-connected or isolated operation of a kind of same major network that various distributed power source can be combined, and distributed power source can comprise as equipment such as solar power generation, wind power generation, gas turbine, energy storage devices.Existing micro-capacitance sensor supervisory control system mainly adopts traditional network monitoring system networking mode, utilizes that local data service device carries out data storage, local computing server realizes micro electric network coordination and control and energy management strategies.
The patent of invention of publication number 102244677A, a kind of green energy resource cloud computing method and system is proposed in specification, as shown in Figure 1, this system is made up of green energy resource monitoring modular 100 and cloud computing center 200, green energy resource monitoring modular 100 and cloud computing node load monitoring module 210 obtain the power information of generating information and cloud computing node load, and pass through the cooperation of electric energy scheduler module 230 and cloud computing node control module 250, make full use of the electric energy of green energy resource, improve energy utilization rate.
To in the research and practice process of prior art, the present inventor finds that prior art exists following problem:
The network monitoring system networking mode that the many employings of existing micro-capacitance sensor supervisory control system are traditional, micro-capacitance sensor Surveillance center needs configuration data storage server, micro-capacitance sensor control strategy optimization calculation server, scale according to micro-capacitance sensor also may can increase local control unit, the upgrading running control technology along with micro electric network coordination may cause the server in micro-capacitance sensor supervisory control system or local monitor unit can not meet the requirement of software upgrading on hardware, so need constantly to increase or upgrading hardware equipment, therefore the upgrading of micro-capacitance sensor control technology may cause increasing extra HardwareUpgring expense, thus improve cost.
Summary of the invention
In view of this, purpose of design of the present invention is, provides a kind of microgrid cloud method for supervising and system, to avoid the HardwareUpgring expense produced because of the upgrading of micro-capacitance sensor control technology.
The embodiment of the present invention is achieved in that
A kind of microgrid cloud method for supervising, comprising:
Cloud computing platform, micro-capacitance sensor device end and client;
Described micro-capacitance sensor device end comprises micro-capacitance sensor equipment, equipment information collection performs driver module and terminal communications interface;
Gather the running state data of described micro-capacitance sensor equipment, described running state data is sent to cloud computing platform by terminal communications interface;
Described cloud computing platform comprises cloud computing processor, cloud knowledge base, cloud database, formatting module and parsing module;
Cloud computing platform carries out format conversion by formatting module to the running state data of described micro-capacitance sensor equipment and external reference, scheduling and controlling instruction, obtains meeting cloud computing required standard digital information;
Cloud computing platform is according to cloud knowledge base, cloud database and described standardized digital information, the control strategy information of described micro-capacitance sensor equipment is made by cloud computing processor, wherein, comprise: the standardized digital information obtained is stored in cloud database by the cloud computing processor of cloud computing platform, then search in cloud knowledge base and match implementation strategy, finally making control strategy information;
The control command that described control strategy information analysis becomes described micro-capacitance sensor equipment to identify by cloud computing platform;
The described control command of cloud computing platform, performs for described micro-capacitance sensor equipment via terminal communications interface.
Preferably, in above-mentioned microgrid cloud method for supervising, also comprise:
When getting the supervision request instruction that client sends, then described standardized digital information is converted to running state data, and sends to client;
When getting the operational order of the scheduling and controlling that client sends, then described standardized digital information is converted to equipment operating instruction, and sends to micro-capacitance sensor device end.
A kind of microgrid cloud supervisory control system, comprises cloud computing platform, micro-capacitance sensor device end and client;
Described micro-capacitance sensor device end comprises micro-capacitance sensor equipment, equipment information collection performs driver module and terminal communications interface;
Described micro-capacitance sensor device end, for gathering the running state data of described micro-capacitance sensor equipment, and is uploaded to cloud computing platform by terminal communications interface, also for control command being sent to described micro-capacitance sensor equipment; Described cloud computing platform comprises cloud computing processor, cloud knowledge base, cloud database, formatting module and parsing module;
Described formatting module, for carrying out conversion obtain standardized digital information to described running state data and client-access, scheduling and controlling instruction;
Described cloud computing processor, for making the control strategy information of described micro-capacitance sensor equipment according to cloud knowledge base, cloud database and described standardized digital information, wherein, comprise: the standardized digital information obtained is stored in cloud database by the cloud computing processor of cloud computing platform, then search in cloud knowledge base and match implementation strategy, finally making control strategy information;
Described parsing module, for the control command becoming described micro-capacitance sensor equipment to identify described control strategy information analysis.
Compared with prior art, the technical scheme that the present embodiment provides has the following advantages and feature:
In scheme provided by the invention, by utilizing cloud computing platform, micro-capacitance sensor equipment is monitored, can avoid causing because of the upgrading of micro-capacitance sensor control technology increasing extra HardwareUpgring expense, so no longer need in prior art as equipment such as data storage server and micro-capacitance sensor control strategy optimization calculation servers, thus decrease a construction cost and maintenance upgrade cost, utilize the quick computing capability of cloud computing platform and the large feature of memory space can carry out computing to data fast.Therefore, scheme provided by the invention not only cost is low, and the speed of service of data processing is fast.
Accompanying drawing explanation
In order to be illustrated more clearly in the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is the module diagram of prior art;
Fig. 2 is the flow chart of a kind of microgrid cloud method for supervising provided by the present invention;
Fig. 3 is the module map of a kind of microgrid cloud supervisory control system provided by the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
Embodiments provide a kind of microgrid cloud method for supervising, comprising: cloud computing platform, micro-capacitance sensor device end and client; Described micro-capacitance sensor device end comprises micro-capacitance sensor equipment, equipment information collection performs driver module and terminal communications interface; Gather the running state data of described micro-capacitance sensor equipment, described running state data is sent to cloud computing platform by terminal communications interface; Described cloud computing platform comprises cloud computing processor, cloud knowledge base, cloud database, formatting module and parsing module; Cloud computing platform carries out format conversion by formatting module to the running state data of described micro-capacitance sensor equipment and external reference, scheduling and controlling instruction, obtains meeting cloud computing required standard digital information; Cloud computing platform is according to cloud knowledge base, cloud database and described standardized digital information, the control strategy information of described micro-capacitance sensor equipment is made by cloud computing processor, wherein, comprise: the standardized digital information obtained is stored in cloud database by the cloud computing processor of cloud computing platform, then search in cloud knowledge base and match implementation strategy, finally making control strategy information; The control command that described control strategy information analysis becomes described micro-capacitance sensor equipment to identify by cloud computing platform; The described control command of cloud computing platform, performs for described micro-capacitance sensor equipment via terminal communications interface.
Because the specific implementation of above-mentioned microgrid cloud method for supervising exists various ways, be described in detail below by specific embodiment:
Shown in Figure 2, shown in Fig. 2 is a kind of flow chart of microgrid cloud method for supervising, and the method comprises:
Step S11, gather the running state data of described micro-capacitance sensor equipment, described running state data is sent to cloud computing platform by terminal communications interface;
Wherein, micro-capacitance sensor equipment has a lot of, so need the running state data gathering these micro-capacitance sensor equipment respectively, and then the running state data these collected sends to cloud computing platform.
Step S12, cloud computing platform carry out format conversion by formatting module to the running state data of described micro-capacitance sensor equipment and external reference, scheduling and controlling instruction, obtain meeting cloud computing required standard digital information;
Wherein, by the formatting module of cloud computing platform, the running state data collected is changed, with the standardized digital information that the cloud computing processor obtaining cloud computing platform can identify, and then the standardized digital information after conversion is sent to cloud computing processor.
Step S13, cloud computing platform, according to cloud knowledge base, cloud database and described standardized digital information, make the control strategy information of described micro-capacitance sensor equipment by cloud computing processor;
Wherein, the standardized digital information obtained is stored in cloud database by the cloud computing processor of cloud computing platform, then searches in cloud knowledge base and matches some implementation strategies, finally makes the most rational a set of control strategy information.
The control command that described control strategy information analysis becomes described micro-capacitance sensor equipment to identify by step S14, cloud computing platform;
Wherein, after obtaining control strategy information, the control command that this control strategy information analysis becomes micro-capacitance sensor equipment to identify by the parsing module recycling cloud computing platform.
The described control command of step S15, cloud computing platform, performs for described micro-capacitance sensor equipment via terminal communications interface.
Wherein, cloud computing platform is issued to each micro-capacitance sensor equipment control command, and each micro-capacitance sensor equipment completes corresponding operating according to the instruction received, to ensure the coordination of micro-capacitance sensor, stable and reliability service.
In the embodiment shown in Figure 2, by utilizing cloud computing platform, micro-capacitance sensor equipment is monitored, can avoid causing because of the upgrading of micro-capacitance sensor control technology increasing extra HardwareUpgring expense, so no longer need in prior art as equipment such as data storage server and micro-capacitance sensor control strategy optimization calculation servers, thus decrease a construction cost and maintenance upgrade cost, utilize the quick computing capability of cloud computing platform and the large feature of memory space can carry out computing to data fast.Therefore, scheme provided by the invention not only cost is low, and the speed of service of data processing is fast.
In the embodiment shown in Figure 2, when getting the supervision request instruction that client sends, then the described standardized digital information stored in cloud database is converted to running state data, and sends to client.Wherein, concrete, client sends to cloud computing platform and monitors request instruction, the formatting module of cloud computing platform complete monitor request instruction be converted to digital information, and the digital information after conversion is uploaded in cloud computing processor, cloud computing processor is according to monitoring that request instruction recalls the parsing module that the related data meeting telemonitoring request requirement is issued to data cloud computing platform and resolves from cloud knowledge base and cloud database, finally resolve after data distributing in client remote monitoring interface, such client can be monitored accordingly to each micro-capacitance sensor equipment.
In the embodiment shown in Figure 2, when client sends operation control request instruction to cloud computing platform, the formatting module of cloud computing platform controls request instruction to length of run and changes to obtain digital information, and this digital information is uploaded in cloud computing processor, cloud computing processor draws the control command of the relevant micro-capacitance sensor equipment meeting remote control notification requirement according to this digital information and the analysis of cloud knowledge base, and the parsing module that above-mentioned control command is issued to cloud computing platform is resolved, finally control command is issued to each equipment in micro-capacitance sensor, micro-capacitance sensor equipment completes corresponding operating according to the instruction received, to ensure the coordination of micro-capacitance sensor, stablize and reliability service.
Shown in Figure 3, shown in Fig. 3 is a kind of microgrid cloud supervisory control system, comprises cloud computing platform 1, micro-capacitance sensor device end 2 and client 3; Described micro-capacitance sensor device end 2 comprises micro-capacitance sensor equipment 21, equipment information collection performs driver module 22 and terminal communications interface 23; Described micro-capacitance sensor device end 2, for performing by equipment information collection the running state data that driver module 22 gathers described micro-capacitance sensor equipment 21, and be uploaded to cloud computing platform 1 by terminal communications interface 23, also for sending to equipment information collection to perform driver module 22 control command received by terminal communications interface 23, equipment information collection performs driver module 22 and controls described micro-capacitance sensor equipment 21 according to control command; Wherein, equipment information collection perform driver module 22 micro-capacitance sensor equipment 21 run for gathering, status data and reception and perform the micro-capacitance sensor equipment operating instruction that microgrid cloud computing platform 1 sends; Described cloud computing platform 1 comprises cloud computing processor 12, cloud knowledge base 14, cloud database 15, formatting module 11, parsing module 13; Described formatting module 11, for accessing described running state data and client 3, scheduling and controlling instruction carries out conversion and obtains standardized digital information; Described cloud computing processor 12, for making the control strategy information of described micro-capacitance sensor equipment 21 according to cloud knowledge base 14, cloud database 15 and described standardized digital information; Described parsing module 13, for the control command becoming described micro-capacitance sensor equipment 21 to identify described control strategy information analysis.
Realize the process of the supervision of micro-capacitance sensor equipment as follows for client 3: client 3 sends to cloud computing platform 1 and monitors request instruction, the formatting module 11 of cloud computing platform 11 complete monitor request instruction be converted to digital information, and the digital information after conversion is uploaded in cloud computing processor 12, cloud computing processor 12 is according to monitoring that request instruction recalls the parsing module 13 that the related data meeting telemonitoring request requirement is issued to data cloud computing platform 1 and resolves from cloud knowledge base 14 and cloud database 15, finally resolve after data distributing in the telemonitoring interface of client 3, such client 3 can be monitored accordingly to each micro-capacitance sensor equipment 21.
Realize the process of the control of micro-capacitance sensor equipment 21 as follows for client 3: when client 3 sends length of run control request instruction to cloud computing platform 1, formatting module 11 pairs of length of runs of cloud computing platform 1 control request instruction and change to obtain digital information, and this digital information is uploaded in cloud computing processor 12, cloud computing processor 12 draws the control command of the relevant micro-capacitance sensor equipment 21 meeting remote control notification requirement according to this digital information and cloud knowledge base 14 analysis, and the parsing module 13 that above-mentioned control command is issued to cloud computing platform 1 is resolved, finally control command is issued to each equipment in micro-capacitance sensor, micro-capacitance sensor equipment 21 completes corresponding operating according to the instruction received, to ensure the coordination of micro-capacitance sensor, stablize and reliability service.
It should be noted that, the embodiment shown in Fig. 2 to Fig. 3 is the preferred embodiment that the present invention introduces, and those skilled in the art on this basis, can design more embodiment completely, therefore not repeat herein.
To be apparent for those skilled in the art to the multiple amendment of these embodiments, General Principle as defined herein can without departing from the spirit or scope of the present invention, realize in other embodiments.Therefore, the present invention can not be restricted to these embodiments shown in this article, but will meet the widest scope consistent with principle disclosed herein and features of novelty.
Claims (3)
1. a microgrid cloud method for supervising, is characterized in that, comprising:
Cloud computing platform, micro-capacitance sensor device end and client;
Described micro-capacitance sensor device end comprises micro-capacitance sensor equipment, equipment information collection performs driver module and terminal communications interface;
Gather the running state data of described micro-capacitance sensor equipment, described running state data is sent to cloud computing platform by terminal communications interface;
Described cloud computing platform comprises cloud computing processor, cloud knowledge base, cloud database, formatting module and parsing module;
Cloud computing platform carries out format conversion by formatting module to the running state data of described micro-capacitance sensor equipment and external reference, scheduling and controlling instruction, obtains meeting cloud computing required standard digital information;
Cloud computing platform is according to cloud knowledge base, cloud database and described standardized digital information, the control strategy information of described micro-capacitance sensor equipment is made by cloud computing processor, wherein, comprise: the standardized digital information obtained is stored in cloud database by the cloud computing processor of cloud computing platform, then search in cloud knowledge base and match implementation strategy, finally making control strategy information;
The control command that described control strategy information analysis becomes described micro-capacitance sensor equipment to identify by cloud computing platform;
The described control command of cloud computing platform, performs for described micro-capacitance sensor equipment via terminal communications interface.
2. microgrid cloud method for supervising according to claim 1, is characterized in that, also comprise:
When getting the supervision request instruction that client sends, then described standardized digital information is converted to running state data, and sends to client;
When getting the operational order of the scheduling and controlling that client sends, then by described standardized digital information analysis forming apparatus operational order, and send to micro-capacitance sensor device end.
3. a microgrid cloud supervisory control system, is characterized in that, comprises cloud computing platform, micro-capacitance sensor device end and client;
Described micro-capacitance sensor device end comprises micro-capacitance sensor equipment, equipment information collection performs driver module and terminal communications interface;
Described micro-capacitance sensor device end, for gathering the running state data of described micro-capacitance sensor equipment, and is uploaded to cloud computing platform by terminal communications interface, also for control command being sent to described micro-capacitance sensor equipment; Described cloud computing platform comprises cloud computing processor, cloud knowledge base, cloud database, formatting module and parsing module;
Described formatting module, for carrying out conversion obtain standardized digital information to described running state data and client-access, scheduling and controlling instruction;
Described cloud computing processor, for making the control strategy information of described micro-capacitance sensor equipment according to cloud knowledge base, cloud database and described standardized digital information, wherein, comprise: the standardized digital information obtained is stored in cloud database by the cloud computing processor of cloud computing platform, then search in cloud knowledge base and match implementation strategy, finally making control strategy information;
Described parsing module, for the control command becoming described micro-capacitance sensor equipment to identify described control strategy information analysis.
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| CN103545928B (en) * | 2013-10-28 | 2015-09-30 | 珠海许继芝电网自动化有限公司 | A kind of intelligent distribution network operation monitoring system run through step by step |
| CN104934966A (en) * | 2015-04-30 | 2015-09-23 | 中国电力科学研究院 | Cloud-based micro-grid wide area coordination control system |
| CN105035123A (en) * | 2015-06-30 | 2015-11-11 | 株洲南车时代电气股份有限公司 | Train display method and system based on cloud platform |
| CN105071431B (en) * | 2015-07-30 | 2019-02-15 | 国家电网公司 | A kind of control system of distributed power grid |
| CN105162250B (en) * | 2015-08-27 | 2018-03-09 | 许继集团有限公司 | A kind of power consumer efficiency service cloud terminal and efficiency service management system |
| CN107450448A (en) * | 2017-09-08 | 2017-12-08 | 深圳市智物联网络有限公司 | The remote monitoring and administration method and Internet of Things management platform of a kind of generating set |
| CN108279997A (en) * | 2018-01-17 | 2018-07-13 | 新联智慧信息技术（深圳）有限公司 | Data backup command management method and system |
| CN110212519B (en) * | 2019-05-23 | 2023-04-07 | 山西金晖隆开关股份有限公司 | Data processing method for medium and low voltage distribution network |
| CN111939529B (en) * | 2020-08-25 | 2021-10-01 | 山东大学齐鲁医院 | Active rehabilitation training method and system based on muscle force measuring device |
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| CN102316151A (en) * | 2011-05-30 | 2012-01-11 | 中国电力科学研究院 | Intelligent perception interactive integrated service system |
| CN102355057A (en) * | 2011-09-25 | 2012-02-15 | 国网电力科学研究院 | Computer monitoring method for microgrid system |
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