CN113922505B - Edge computing intelligent gateway suitable for building comprehensive energy management - Google Patents
Edge computing intelligent gateway suitable for building comprehensive energy management Download PDFInfo
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- 230000005611 electricity Effects 0.000 claims abstract description 109
- 238000010248 power generation Methods 0.000 claims abstract description 85
- 238000005265 energy consumption Methods 0.000 claims abstract description 59
- 238000004458 analytical method Methods 0.000 claims abstract description 19
- 238000004891 communication Methods 0.000 claims abstract description 14
- 238000012544 monitoring process Methods 0.000 claims abstract description 14
- 230000002159 abnormal effect Effects 0.000 claims abstract description 12
- 238000007726 management method Methods 0.000 claims description 40
- 238000013499 data model Methods 0.000 claims description 26
- 238000004364 calculation method Methods 0.000 claims description 19
- 238000004146 energy storage Methods 0.000 claims description 6
- 230000005540 biological transmission Effects 0.000 claims description 5
- 238000005516 engineering process Methods 0.000 description 3
- 238000010276 construction Methods 0.000 description 2
- 239000008358 core component Substances 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000010354 integration Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 1
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Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/381—Dispersed generators
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
- H02S10/00—PV power plants; Combinations of PV energy systems with other systems for the generation of electric power
- H02S10/10—PV power plants; Combinations of PV energy systems with other systems for the generation of electric power including a supplementary source of electric power, e.g. hybrid diesel-PV energy systems
- H02S10/12—Hybrid wind-PV energy systems
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
- H02S10/00—PV power plants; Combinations of PV energy systems with other systems for the generation of electric power
- H02S10/20—Systems characterised by their energy storage means
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/22—The renewable source being solar energy
- H02J2300/24—The renewable source being solar energy of photovoltaic origin
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/28—The renewable source being wind energy
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/40—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation wherein a plurality of decentralised, dispersed or local energy generation technologies are operated simultaneously
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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
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A30/00—Adapting or protecting infrastructure or their operation
- Y02A30/60—Planning or developing urban green infrastructure
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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
- Y02B10/00—Integration of renewable energy sources in buildings
- Y02B10/10—Photovoltaic [PV]
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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
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
- Y02E10/56—Power conversion systems, e.g. maximum power point trackers
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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
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/76—Power conversion electric or electronic aspects
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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
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
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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
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E70/00—Other energy conversion or management systems reducing GHG emissions
- Y02E70/30—Systems combining energy storage with energy generation of non-fossil origin
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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
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/12—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation
- Y04S10/123—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation the energy generation units being or involving renewable energy sources
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Human Computer Interaction (AREA)
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- Sustainable Energy (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention provides an edge computing intelligent gateway suitable for building comprehensive energy management, and belongs to the technical field of communication. The system comprises an energy supply module for providing household electricity for the building, a data acquisition and analysis module for acquiring electricity information and real-time power generation information in the building, an energy consumption management module for predicting the energy consumption of each household, an alarm module for monitoring and comparing the original electricity consumption data of each household in the building, and an energy switching module for switching the energy sources in the building, wherein the alarm module is used for reporting abnormal data to a user terminal. According to the invention, the energy consumption management module is adopted to monitor the energy of the building which is comprehensively powered by wind power generation, photovoltaic power generation and a power supply network, so that the alarm and power switching of abnormal power load can be realized, and the problem that the existing intelligent gateway cannot adapt to monitoring and management of energy sources with various power generation modes in the building is solved.
Description
Technical Field
The invention belongs to the technical field of communication, and particularly relates to an edge computing intelligent gateway suitable for building comprehensive energy management.
Background
With the development of urban construction in China, the number of urban buildings is increasing. The electricity load of building users such as urban office buildings, commercial complexes, public buildings, civil buildings and the like is relatively concentrated, and the energy consumption ratio of the building users is also higher and higher. Therefore, the energy saving of the building is forced to be urgent, and the comprehensive management of the building energy is an important way for saving the building energy consumption.
As a core component for constructing the urban building ubiquitous power Internet of things, the intelligent energy gateway based on the edge computing technology realizes the integration of information flow and energy flow, bears the interconnection of power information and a data network, performs scheduling and control, and can promote terminals of all links of a power system to be accessed as required, plug and play, so as to realize the intelligent control of the states of a power grid and the terminals. However, the current implementation of monitoring building energy by using an intelligent gateway is mainly aimed at buildings powered by a power supply network, and is not applicable to the situation that the buildings have various power generation forms.
Disclosure of Invention
In view of the above, the invention aims to solve the problem that the existing intelligent gateway cannot adapt to monitoring and management of energy sources with various power generation modes in a building.
In order to solve the technical problems, the invention provides the following technical scheme:
the invention provides an edge computing intelligent gateway suitable for building integrated energy management, which comprises:
the energy supply module is used for providing household electricity for the building through the combination of a wind power generation module and a photovoltaic power generation module which are arranged in the building and a power supply network;
the data acquisition and analysis module is used for acquiring electricity utilization information of all users in the building, establishing an electricity utilization information database for each household, and acquiring real-time electricity generation information of the wind power generation module and the photovoltaic power generation module in the building;
the energy consumption management module is used for carrying out real-time calculation according to the original electricity consumption data of each household in the building, modeling according to the historical electricity consumption data of each household in the electricity consumption data base, carrying out energy consumption prediction on each household according to the historical electricity consumption data model, reporting the real-time calculation result and the energy consumption prediction result of the energy consumption to the user terminal, and establishing a power generation data model according to the collected real-time power generation information of the wind power generation module and the photovoltaic power generation module in the building;
the alarm module is used for monitoring and comparing the original electricity consumption data of each household in the building, feeding the original electricity consumption data back to the data acquisition and analysis module and marking time stamp data when the energy consumption real-time calculation result exceeds the energy consumption prediction result, and simultaneously reporting the energy consumption real-time calculation result to the user terminal as abnormal data;
and the energy switching module is used for switching the energy sources in the building according to the historical electricity consumption data model established by the energy consumption management module, the real-time power generation information of the wind power generation module and the photovoltaic power generation module.
Further, the method further comprises the following steps:
the data record storage module is used for recording and storing the electricity consumption information of all users in the building, the real-time electricity generation information of the wind power generation module and the photovoltaic power generation module in the building and the historical electricity consumption data model and the electricity generation data model established by the energy consumption management module, which are acquired by the data acquisition analysis module.
Further, the data acquisition and analysis module acquires electricity consumption information and real-time power generation information through a basic equipment layer, an edge end, a network transmission layer and a far end which are in communication connection in sequence.
Further, the base device layer includes communication devices, PLCs, and DCS.
Further, the edge includes an edge first portion in communication with the base device layer and an edge second portion in communication with the edge first portion; the first part of the edge terminal comprises a plurality of edge computing intelligent gateways, an edge computing server and a memory; the edge second portion includes a number of edge computing servers.
Further, the alarm module is used for monitoring and comparing original electricity consumption data of each household in the building, and specifically comprises the following steps:
judging whether the original electricity consumption data exceeds a set warning threshold value or not when the energy consumption real-time calculation result exceeds the energy consumption prediction result;
if yes, the original electricity consumption data at the moment is fed back to the data acquisition and analysis module, the time stamp data is made, and meanwhile, the energy consumption real-time calculation result is used as an abnormal data to be reported to the user terminal;
if not, the energy consumption management module takes the original electricity consumption data as the historical electricity consumption data to update the historical electricity consumption data model.
Further, the energy consumption management module models according to historical electricity consumption data of each household in the electricity consumption information database specifically:
the energy consumption management module models the independent month according to the electricity consumption data of twelve months of each household in the electricity consumption database, and generates a historical electricity consumption data model of twelve months.
Further, the number of the warning thresholds set by the warning module is 12, and the 12 warning thresholds are in one-to-one correspondence with the twelve-month historical electricity consumption data model.
Further, the wind power generation module and the photovoltaic power generation module are both provided with embedded energy storage modules, and the embedded energy storage modules store redundant electric energy when the wind power generation module and the photovoltaic power generation module are in a power generation peak, and release redundant electric energy when the wind power generation module and the photovoltaic power generation module are in a power generation low peak.
In summary, the invention provides an edge computing intelligent gateway suitable for building comprehensive energy management, which comprises an energy supply module for supplying household electricity to a building, a data acquisition and analysis module for acquiring electricity information in the building and real-time power generation information in the building, an energy consumption management module for predicting energy consumption of each household, an alarm module for monitoring and comparing original electricity consumption data of each household in the building, and an energy switching module for switching energy sources in the building. According to the invention, the energy consumption management module is adopted to monitor the energy of the building which is comprehensively powered by wind power generation, photovoltaic power generation and a power supply network, so that abnormal conditions can be timely alarmed through the alarm module, and the energy supply in the building can be timely switched through the energy switching module, thereby ensuring the power consumption of users in the building, and solving the problem that the existing intelligent gateway cannot adapt to monitoring and management of energy sources with various power generation modes in the building.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the invention, and that other drawings can be obtained from these drawings without inventive faculty for a person skilled in the art.
Fig. 1 is a block diagram of an edge computing intelligent gateway suitable for building integrated energy management according to an embodiment of the present invention.
Detailed Description
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is apparent that the embodiments described below are only some embodiments of the present invention, not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
With the development of urban construction in China, the number of urban buildings is increasing. The electricity load of building users such as urban office buildings, commercial complexes, public buildings, civil buildings and the like is relatively concentrated, and the energy consumption ratio of the building users is also higher and higher. Therefore, the energy saving of the building is forced to be urgent, and the comprehensive management of the building energy is an important way for saving the building energy consumption.
As a core component for constructing the urban building ubiquitous power Internet of things, the intelligent energy gateway based on the edge computing technology realizes the integration of information flow and energy flow, bears the interconnection of power information and a data network, performs scheduling and control, and can promote terminals of all links of a power system to be accessed as required, plug and play, so as to realize the intelligent control of the states of a power grid and the terminals. However, the current implementation of monitoring building energy by using an intelligent gateway is mainly aimed at buildings powered by a power supply network, and is not applicable to the situation that the buildings have various power generation forms.
Based on the above, the invention provides the edge computing intelligent gateway suitable for building integrated energy management.
The following is a detailed description of an embodiment of an edge computing intelligent gateway suitable for building integrated energy management.
Referring to fig. 1, the present embodiment provides an edge computing intelligent gateway suitable for building integrated energy management, including: the system comprises an energy supply module, a data acquisition and analysis module, an energy consumption management module, an alarm module and an energy switching module.
In this embodiment, the energy supply module is used for providing household electricity for the building through the wind power generation module and the photovoltaic power generation module which are arranged in the building and combining with the power supply network.
It should be noted that, in general, buildings for living, commercial complexes, etc. are all connected to a power distribution network to supply power uniformly. The characteristics of the power load are obvious for the living building, and the guarantee of the living and civil electrodes is very important. In order to respond to the requirements of saving building energy consumption and guaranteeing domestic electricity, the existing mature wind power generation and photovoltaic power generation technologies are combined, each building has self-power generation capacity on the basis of an urban power supply network, the energy utilization efficiency of a power grid is improved, and the electricity consumption cost of a user is reduced.
In addition, the wind power generation module and the photovoltaic power generation module are both provided with embedded energy storage modules, and the embedded energy storage modules store redundant electric energy when the wind power generation module and the photovoltaic power generation module are in a power generation peak, and release redundant electric energy when the wind power generation module and the photovoltaic power generation module are in a power generation low peak.
In this embodiment, the data acquisition and analysis module is used for acquiring power utilization information of all users in the building, establishing a power utilization information database for each family, and acquiring real-time power generation information of the wind power generation module and the photovoltaic power generation module in the building.
The data acquisition and analysis module acquires the power consumption information and the real-time power generation information through a basic equipment layer, an edge end, a network transmission layer and a far end which are sequentially in communication connection.
The base device layer includes each communication device, PLC (Power Line Communication ), and DCS (distributed control system).
The edge comprises an edge first part communicated with the basic equipment layer and an edge second part communicated with the edge first part; the first part of the edge terminal comprises a plurality of edge computing intelligent gateways, an edge computing server and a memory; the edge second portion includes a number of edge computing servers.
The network transmission layer is used for carrying out data transmission and communication among the devices at each layer, and the cloud end receives and gathers the electricity consumption information of all users in the building and the real-time electricity generation information of the building. The cloud establishes an electricity consumption information database for storing the electricity consumption information of each household and the real-time electricity generation information of the building.
In this embodiment, the energy consumption management module is configured to perform real-time calculation according to original electricity consumption data of each household in the building, perform modeling according to historical electricity consumption data of each household in the electricity consumption database, perform energy consumption prediction on each household according to a historical electricity consumption data model, report an energy consumption real-time calculation result and an energy consumption prediction result to the user terminal, and establish a power generation data model according to collected real-time power generation information of the wind power generation module and the photovoltaic power generation module in the building.
It should be noted that, the original electricity consumption data of each household in the building is calculated in real time by the current electricity consumption of the user acquired by the data acquisition and analysis module, and the calculation result reflects the current actual electricity consumption condition of the user.
The historical electricity consumption data model is used for predicting the current electricity consumption situation of the user according to the historical electricity consumption data of the user, so that the current possible electricity consumption situation of the user is reflected.
And comprehensively comparing and analyzing the current actual electricity consumption situation obtained by using the original electricity consumption data and the current possible electricity consumption situation predicted by using the historical electricity consumption data model, and determining whether the current electricity consumption situation is abnormal or not. The energy consumption management module models according to historical electricity consumption data of each household in the electricity consumption information database, specifically models each month independently according to electricity consumption data of twelve months of each household in the electricity consumption information database, and generates a historical electricity consumption data model of twelve months.
In this embodiment, the alarm module is configured to monitor and compare original electricity consumption data of each household in the building, and when the energy consumption real-time calculation result exceeds the energy consumption prediction result, feed back the original electricity consumption data to the data acquisition and analysis module and make time stamp data, and simultaneously send the energy consumption real-time calculation result as an abnormal data report to the user terminal.
It should be noted that, the alarm module is used for monitoring and comparing the original electricity consumption data of each household in the building, and specifically includes: and judging whether the original electricity consumption data exceeds a set warning threshold value or not when the energy consumption real-time calculation result exceeds the energy consumption prediction result. The number of the warning thresholds set by the warning module is 12, and the 12 warning thresholds correspond to the twelve-month historical electricity consumption data model one by one.
If yes, the original electricity consumption data at the moment is fed back to the data acquisition and analysis module, the time stamp data is made, and meanwhile, the energy consumption real-time calculation result is used as an abnormal data report to the user terminal.
If not, the energy consumption management module takes the original electricity consumption data as the historical electricity consumption data to update the historical electricity consumption data model.
In this embodiment, the energy switching module is configured to switch energy sources in a building according to a historical electricity consumption data model established by the energy consumption management module, and real-time power generation information of the wind power generation module and the photovoltaic power generation module.
Furthermore, the edge computing intelligent gateway of the embodiment may further be provided with a data record storage module, where the data record storage module is configured to record and store the electricity consumption information of all users in the building, the real-time electricity generation information of the wind power generation module and the photovoltaic power generation module in the building, and the historical electricity consumption data model and the electricity generation data model established by the energy consumption management module.
The embodiment provides an edge computing intelligent gateway suitable for building comprehensive energy management, which comprises an energy supply module for supplying household electricity to a building, a data acquisition and analysis module for acquiring electricity information in the building and real-time power generation information in the building, an energy consumption management module for carrying out energy consumption prediction on each household, an alarm module for monitoring and comparing original electricity consumption data of each household in the building, and an energy switching module for switching energy sources in the building, wherein the alarm module is used for sending abnormal data to a user terminal. According to the invention, the energy consumption management module is adopted to monitor the energy of the building which is comprehensively powered by wind power generation, photovoltaic power generation and a power supply network, so that abnormal conditions can be timely alarmed through the alarm module, and the energy supply in the building can be timely switched through the energy switching module, thereby ensuring the power consumption of users in the building, and solving the problem that the existing intelligent gateway cannot adapt to monitoring and management of energy sources with various power generation modes in the building.
The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the 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: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (4)
1. An edge computing intelligent gateway suitable for building integrated energy management, comprising:
the energy supply module is used for providing household electricity for the building through the combination of a wind power generation module and a photovoltaic power generation module which are arranged in the building and a power supply network;
the data acquisition and analysis module is used for acquiring electricity utilization information of all users in the building, establishing an electricity utilization information database for each family, and acquiring real-time electricity generation information of the wind power generation module and the photovoltaic power generation module in the building;
the energy consumption management module is used for carrying out real-time calculation according to the original electricity consumption data of each household in the building, modeling according to the historical electricity consumption data of each household in the electricity consumption database, carrying out energy consumption prediction on each household according to a historical electricity consumption data model, reporting an energy consumption real-time calculation result and an energy consumption prediction result to a user terminal, and establishing a power generation data model according to the collected real-time power generation information of the wind power generation module and the photovoltaic power generation module in the building;
the alarm module is used for monitoring and comparing the original electricity consumption data of each household in the building, feeding back the original electricity consumption data to the data acquisition and analysis module and making time stamp data when the energy consumption real-time calculation result exceeds the energy consumption prediction result, and simultaneously reporting the energy consumption real-time calculation result to the user terminal as abnormal data;
the energy switching module is used for switching energy sources in a building according to the historical electricity consumption data model, the wind power generation module and the real-time power generation information of the photovoltaic power generation module, which are established by the energy consumption management module;
further comprises:
the data record storage module is used for recording and storing the electricity utilization information of all users in the building, the real-time electricity generation information of the wind power generation module and the photovoltaic power generation module in the building and the historical electricity utilization data model and the electricity generation data model established by the energy consumption management module, which are acquired by the data acquisition analysis module;
the data acquisition and analysis module acquires power utilization information and real-time power generation information through a basic equipment layer, an edge end, a network transmission layer and a far end which are sequentially in communication connection;
the alarm module is used for monitoring and comparing the original electricity consumption data of each household in the building, and specifically comprises the following steps:
judging whether the original electricity consumption data exceeds a set warning threshold value or not when the energy consumption real-time calculation result exceeds the energy consumption prediction result;
if yes, feeding back the original electricity consumption data to the data acquisition and analysis module, marking time stamp data, and simultaneously, sending the energy consumption real-time calculation result to the user terminal as an abnormal data report;
if not, the energy consumption management module takes the original electricity consumption data as historical electricity consumption data to update the historical electricity consumption data model;
the energy consumption management module is used for modeling according to historical electricity consumption data of each household in the electricity consumption database, and specifically comprises the following steps:
the energy consumption management module models the month independence according to the twelve-month electricity consumption data of each household in the electricity consumption database, and generates a twelve-month historical electricity consumption data model;
the number of the warning thresholds set by the warning module is 12, and the 12 warning thresholds are in one-to-one correspondence with the twelve-month historical electricity consumption data model.
2. The edge computing intelligent gateway for building integrated energy management of claim 1, wherein said base device layer comprises communication devices, PLCs and DCS.
3. The edge computing intelligent gateway for building integrated energy management of claim 1, wherein said edge comprises an edge first portion in communication with said base device layer and an edge second portion in communication with said edge first portion; the first part of the edge end comprises a plurality of edge computing intelligent gateways, an edge computing server and a memory; the edge end second part comprises a plurality of edge computing servers.
4. The edge computing intelligent gateway suitable for building integrated energy management according to claim 1, wherein the wind power generation module and the photovoltaic power generation module are both provided with embedded energy storage modules, and the embedded energy storage modules store redundant electric energy when the wind power generation module and the photovoltaic power generation module are in a power generation peak and release the redundant electric energy when the wind power generation module and the photovoltaic power generation module are in a power generation low peak.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN203039420U (en) * | 2013-01-24 | 2013-07-03 | 长沙理工大学 | Adaptive control low pressure power supply apparatus possessing a plurality of renewable energy sources |
| CN109213033A (en) * | 2018-08-23 | 2019-01-15 | 深圳供电局有限公司 | A kind of building wisdom energy management method and system |
| CN109814497A (en) * | 2017-11-22 | 2019-05-28 | 杨娜 | A kind of photovoltaic energy-storage system intelligent building device |
| CN110365529A (en) * | 2019-07-10 | 2019-10-22 | 广州博依特智能信息科技有限公司 | A kind of edge calculations intelligent gateway method for processing business and edge calculations intelligent gateway |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8653968B2 (en) * | 2009-12-23 | 2014-02-18 | Pulse Energy Inc. | Systems and methods for predictive building energy monitoring |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN203039420U (en) * | 2013-01-24 | 2013-07-03 | 长沙理工大学 | Adaptive control low pressure power supply apparatus possessing a plurality of renewable energy sources |
| CN109814497A (en) * | 2017-11-22 | 2019-05-28 | 杨娜 | A kind of photovoltaic energy-storage system intelligent building device |
| CN109213033A (en) * | 2018-08-23 | 2019-01-15 | 深圳供电局有限公司 | A kind of building wisdom energy management method and system |
| CN110365529A (en) * | 2019-07-10 | 2019-10-22 | 广州博依特智能信息科技有限公司 | A kind of edge calculations intelligent gateway method for processing business and edge calculations intelligent gateway |
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