AU2021106093A4 - Energy Management System Based on Big Data - Google Patents
Energy Management System Based on Big Data Download PDFInfo
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- AU2021106093A4 AU2021106093A4 AU2021106093A AU2021106093A AU2021106093A4 AU 2021106093 A4 AU2021106093 A4 AU 2021106093A4 AU 2021106093 A AU2021106093 A AU 2021106093A AU 2021106093 A AU2021106093 A AU 2021106093A AU 2021106093 A4 AU2021106093 A4 AU 2021106093A4
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- 238000005265 energy consumption Methods 0.000 claims abstract description 72
- 238000007726 management method Methods 0.000 claims abstract description 41
- 238000001514 detection method Methods 0.000 claims abstract description 30
- 238000013439 planning Methods 0.000 claims abstract description 8
- 238000000034 method Methods 0.000 claims abstract description 7
- 230000008569 process Effects 0.000 claims abstract description 7
- 239000010410 layer Substances 0.000 claims description 22
- 239000012792 core layer Substances 0.000 claims description 14
- 238000004458 analytical method Methods 0.000 claims description 10
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- 230000002159 abnormal effect Effects 0.000 claims description 7
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- 238000012545 processing Methods 0.000 claims description 4
- 230000005540 biological transmission Effects 0.000 claims description 3
- 238000005457 optimization Methods 0.000 abstract description 4
- 238000012544 monitoring process Methods 0.000 description 5
- 238000011161 development Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 230000006399 behavior Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 238000004134 energy conservation Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
- G05B23/0275—Fault isolation and identification, e.g. classify fault; estimate cause or root of failure
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q10/067—Enterprise or organisation modelling
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G16Y10/00—Economic sectors
- G16Y10/35—Utilities, e.g. electricity, gas or water
-
- 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
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04Q—SELECTING
- H04Q9/00—Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom
- H04Q9/02—Automatically-operated arrangements
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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
- H02J2310/00—The network for supplying or distributing electric power characterised by its spatial reach or by the load
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04Q—SELECTING
- H04Q2209/00—Arrangements in telecontrol or telemetry systems
- H04Q2209/60—Arrangements in telecontrol or telemetry systems for transmitting utility meters data, i.e. transmission of data from the reader of the utility meter
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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
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
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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
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/80—Management or planning
- Y02P90/82—Energy audits or management systems therefor
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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
- Y04S10/30—State monitoring, e.g. fault, temperature monitoring, insulator monitoring, corona discharge
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- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
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- 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
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
- Y04S40/128—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment involving the use of Internet protocol
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Abstract
The invention relates to an energy management system based on big data, which
comprises a data acquisition subsystem for acquiring relevant data provided by an energy
consumption unit in real time; an energy consumption detection subsystem is used for realizing
energy consumption detection on relevant data provided by the energy consumption unit; a
tracking and assessment subsystem is used to track and analyze energy consumption; an energy
Internet big data subsystem is used to analyze and process collected data and complete energy
planning and management. The energy consumption data acquisition subsystem, the energy
consumption detection subsystem, the tracking assessment subsystem and the energy Internet
big data subsystem are sequentially connected. According to the invention, energy
consumption data can be collected, analyzed and processed, so that higher-level data
application services are provided, key energy consumption can be comprehensively and
integrally managed, and energy consumption optimization control is realized in order to solve
the problem of high energy consumption.
1/1
FIGURES
r-----------------------------------I
I Energy management system based on big data
Figure 1
Description
1/1
r-----------------------------------I I Energy management system based on big data
Figure 1
Energy Management System Based on Big Data
The invention relates to the technical field of energy management, in particular
to an energy management system based on big data.
With the development of China's economy, the problem of high energy
consumption has become increasingly prominent. Under China's current national
conditions, the macro energy management is led by the government while parts of it
are participated by the third party. The micro energy management is mainly through
the daily operation and maintenance of energy-consuming devices and the effective
management of users' energy consumption behaviors, and through energy efficiency
improvement and energy-saving transformation to achieve energy conservation. To
realize the analysis of micro energy management and serve the macro-level energy
management work, it involves a large number of data collection, integration and
processing. These data are huge in content and various in forms, which are constantly
updated with the passage of time. It was unimaginable in the past to process and
utilize these data scientifically and efficiently. It is extremely difficult to manage
energy consumption finely with supporting technologies and solutions.
In order to promote the development of data products and improve the service
capacity of energy big data centers, it is necessary to carry out the construction of
energy management based on big data. It should connect the energy consumption data
of industries and enterprises, combine the energy consumption behavior data of users, carry out multidimensional and in-depth energy consumption data analysis, establish an energy consumption label system, and form a diversified energy big data energy management system, so as to support economic decision-making, industry planning, business environment optimization, and help the development of new smart cities.
Therefore, how to provide an energy management system based on big data that
can solve the above problems is an urgent problem for those skilled in technology.
The present invention proposes an energy management system based on big data
aiming at the above shortcomings.
To achieve the above purpose, the present invention provides the following
scheme:
An energy management system based on big data includes:
A data acquisition subsystem is used for acquiring relevant data provided by the
energy consumption unit in real time;
An energy consumption detection subsystem is used for realizing energy
consumption detection on relevant data provided by the energy consumption unit;
A tracking and assessment subsystem is used to track and analyze energy
consumption;
An energy Internet big data subsystem is used to analyze and process the
collected data and complete the planning and management of energy;
The energy consumption data acquisition subsystem, the energy consumption
detection subsystem, the tracking assessment subsystem and the energy Internet big
data subsystem are sequentially connected.
Preferably, the energy consumption unit comprises a heating unit, a water supply
unit, a power supply unit and a combustion unit.
Preferably, the data acquisition subsystem comprises a data processing unit,
which is used for finding abnormal data in the energy consumption information and
analyzing the abnormal data.
Preferably, the energy consumption detection subsystem comprises an intelligent
measuring instrument, a communication interface and a wireless communication chip.
Preferably, the intelligent measuring instrument is used for detecting the energy
consumption of the detection point on the energy consumption unit and obtaining the
detection result.
Preferably, the communication interface is used to connect the energy
consumption unit with the tracking assessment subsystem for data transmission.
Preferably, the energy consumption detection subsystem further comprises an
energy consumption analysis unit and an energy audit unit, which are respectively
connected with the tracking assessment subsystem and the energy Internet big data
subsystem and send information to the energy Internet big data subsystem remotely.
Preferably, the tracking and assessment subsystem comprises a sub-item energy
consumption metering unit, an energy network metering unit and a household metering unit, which respectively send information to the energy Internet big data subsystem remotely.
Preferably, the energy Internet big data subsystem includes a core layer, a
connection layer and an application layer.
Preferably, the core layer has an open interface; the connection layer is used for
compiling corresponding input and output subroutines, and connecting the tasks of the
core layer and the application layer through an open information interface; the
application layer automatically calls the data and algorithms of the core layer and the
connection layer as required to complete the energy planning and management.
The invention has the beneficial effects that:
(1) The energy management system based on big data of the present invention
performs real-time monitoring through the energy Internet big data subsystem, which
is connected to the Internet to update and expand data in real time, which is
convenient for analyzing and monitoring the energy system, and adjusts through the
information of big data to avoid the fixed mode of the energy system and increase the
practical effect of the system.
(2) The invention uses the Internet of Things, big data, etc. to coordinate and
process various energy consumption data, energy consumption indicators, energy
supply data, etc., which can comprehensively regulate and control the received energy
demands, improve the energy management level in order to achieve the purposes of
optimizing energy conservation, saving energy consumption and improving energy
utilization efficiency.
In order to explain the embodiments of the present invention or the technical
scheme in the prior art more clearly, the figure needed in the embodiments will be
briefly introduced below. Obviously, the figure in the following description is only
some embodiments of the present invention, and for ordinary technicians in the field,
other figures can be obtained according to the figure without paying creative labor.
Fig. 1 is a schematic diagram of an energy management system based on big data
of the present invention.
The technical scheme in the embodiments of the present invention will be
described clearly and completely with reference to the figure in the embodiments of
the present invention. Obviously, the described embodiments are only part of the
embodiments of the present invention, not all of them. Based on the embodiments of
the present invention, all other embodiments obtained by ordinary technicians in the
field without creative labor belong to the scope of protection of the present invention.
In order to make the above objects, features and advantages of the present
invention more obvious and easy to understand, the present invention will be further
explained in detail with reference to the figure and specific embodiments.
As shown in fig. 1, the present invention provides an energy management system
based on big data including the followings:
A data acquisition subsystem is used for acquiring relevant data provided by the
energy consumption unit in real time;
An energy consumption detection subsystem is used for realizing energy
consumption detection on relevant data provided by the energy consumption unit;
A tracking and assessment subsystem is used to track and analyze energy
consumption;
An energy Internet big data subsystem: used to analyze and process the collected
data and complete the planning and management of energy;
The energy consumption data acquisition subsystem, the energy consumption
detection subsystem, the tracking assessment subsystem and the energy internet big
data subsystem are connected in sequence, and both the energy consumption detection
subsystem and the tracking assessment subsystem can carry out remote
communication with the energy Internet big data subsystem.
According to the further optimized scheme, the energy consumption unit
comprises a heating unit, a water supply unit, a power supply unit and a combustion
supply unit. The heating unit is thermal equipment, the water supply unit is hydraulic
equipment, the power supply unit is electric equipment and the combustion unit is
natural gas equipment.
The data acquisition subsystem includes a data processing unit, which is used to
analyze the abnormal data, find the abnormal data in the energy consumption
information, eliminate the abnormal data to ensure the accuracy of the energy
consumption information, and obtain normal data after filling the defective data, and
transmit the obtained normal data to the energy consumption detection subsystem.
According to the further optimized scheme, the energy consumption detection
subsystem comprises an intelligent measuring instrument, a communication interface
and a wireless communication chip.
According to the further optimized scheme, the communication interface is used
to connect the energy consumption unit with the tracking assessment subsystem for
data transmission.
According to the further optimized scheme, the intelligent measuring instrument
is used for detecting the energy consumption of the detection points on the heating
unit, the water supply unit, the power supply unit and the fuel supply unit, and
obtaining detection results. Key fields for detecting include: station's name,
equipment's type, commissioning date, status, the type of line and energy.
The energy consumption detection subsystem also comprises an energy
consumption analysis unit and an energy audit unit, which are respectively connected
with the tracking assessment subsystem and the energy Internet big data subsystem
and send information to the energy Internet big data subsystem remotely.
The energy consumption detection subsystem can provide rich supervision
functions such as publicity, benchmarking, alarm, settlement, etc. from the
perspective of business management, and conduct comprehensive analysis to locate
the crux of energy consumption.
Further optimizing the scheme, the tracking and assessment subsystem is used
for conducting quota index assessment and energy benchmarking tracking analysis on
the received data. The tracking and assessment subsystem comprises a sub-item energy consumption metering unit, an energy network metering unit and a household metering unit, which respectively send information to the energy Internet big data subsystem.
The energy consumption detection subsystem also comprises an energy
consumption analysis unit and an energy audit unit, which are respectively connected
with the tracking assessment subsystem and the energy Internet big data subsystem
and send information to the energy Internet big data subsystem remotely.
The energy consumption detection subsystem can provide rich supervision
functions such as publicity, benchmarking, alarm, settlement, etc. from the
perspective of business management, and conduct comprehensive analysis to locate
the crux of energy consumption.
Further optimizing the scheme, the tracking and assessment subsystem is used
for conducting quota index assessment and energy benchmarking tracking analysis on
the received data. The tracking and assessment subsystem comprises a sub-item
energy consumption metering unit, an energy network metering unit and a household
metering unit, which respectively send information to the energy Internet big data
subsystem.
The itemized energy consumption metering unit measures energy consumption
such as water quantity, electricity quantity, heating quantity, air conditioning cold
heat quantity and the like; The energy network metering unit measures the network
flow of water supply network, power grid, steam network, hot water network and the like; the household metering unit is used for metering the households of dormitories, multi-agency complex buildings and the like.
According to the further optimization scheme, the energy Internet big data
subsystem includes a core layer, a connection layer and an application layer.
Further optimization scheme, the core layer has an open interface; the connection
layer is used to compile corresponding input and output subroutines, and connect the
core layer with the tasks of the application layer through an open information
interface; the application layer automatically calls the data and algorithms of the core
layer and the connection layer as required to complete the energy planning and
management.
The core layer establishes a two-way connection with the big data subsystem and
the data acquisition subsystem of the energy Internet by means of wired or wireless
signal transmission, thus embedding the software package into the whole energy
Internet system.
The functional grid structure of "core layer-connection layer-application layer"
of the present invention describes how to apply the functions of each part of the
software when completing tasks. The "core layer" includes universal mathematical
and physical equations and numerical solutions. By simply writing input and output
files and constructing information channels, i.e., "connection layer", various tasks to
be solved, i.e., "application layer" and "core layer", can be connected to complete the
design and calculation.
The energy Internet big data subsystem is connected with the Internet, which can
update and expand the data in real time, thus increasing the practicability of the
system, facilitating the separate storage of different energy sources without mutual
interference, ensuring the stability of a single energy source, avoiding the problems of
a single energy source affecting other energy sources detection, facilitating the
analysis and monitoring of the energy system, and adjusting through the information
of big data, avoiding the fixed mode of the energy system, increasing the practical
effect of the system and reducing the waste of energy.
The invention has the beneficial effects that:
(1) The energy management system based on big data of the present invention
performs real-time monitoring through the energy Internet big data subsystem, which
is connected to the Internet to update and expand data in real time, which is
convenient for analyzing and monitoring the energy system, and adjusts through the
information of big data to avoid the fixed mode of the energy system and increase the
practical effect of the system.
(2) The invention uses the Internet of Things, big data, etc., to coordinate and
process various energy consumption data, energy consumption indicators, energy
supply data, etc., comprehensively regulate and control the received energy demands,
improve the energy management level, and achieve the purposes of optimizing energy
conservation, saving energy consumption and improving energy utilization efficiency.
The above-mentioned embodiments are only a description of the preferred mode
of the invention, but do not limit the scope of the invention. On the premise of not departing from the design spirit of the invention, various modifications and improvements made by ordinary technicians in the field to the technical scheme of the invention shall fall within the protection scope determined by the claims of the invention.
Claims (10)
1. An energy management system based on big data is characterized by
comprising:
A data acquisition subsystem is used for acquiring relevant data provided by the
energy consumption unit in real time;
An energy consumption detection subsystem is used for realizing energy
consumption detection on relevant data provided by the energy consumption unit;
A tracking and assessment subsystem is used to track and analyze energy
consumption;
An energy Internet big data subsystem is used to analyze and process the
collected data and complete the planning and management of energy;
The energy consumption data acquisition subsystem, the energy consumption
detection subsystem, the tracking assessment subsystem and the energy Internet big
data subsystem are sequentially connected.
2. The energy management system based on big data according to claim 1 is
characterized in that the energy consumption unit comprises a heating unit, a water
supply unit, a power supply unit and a combustion unit.
3. The energy management system based on big data according to claim 1 is
characterized in that the data acquisition subsystem comprises a data processing unit,
which is used for finding abnormal data in the energy consumption information and
analyzing the abnormal data.
4. The energy management system based on big data according to claim 1 is
characterized in that the energy consumption detection subsystem comprises an
intelligent measuring instrument, a communication interface and a wireless
communication chip.
5. The energy management system based on big data according to claim 4 is
characterized in that the intelligent measuring instrument is used for detecting the
energy consumption of the detection point on the energy consumption unit and
obtaining the detection result.
6. The energy management system based on big data according to claim 4 is
characterized in that the communication interface is used to connect the energy
consumption unit with the tracking assessment subsystem for data transmission.
7. The energy management system based on big data according to claim 1 or 4 is
characterized in that the energy consumption detection subsystem further comprises
an energy consumption analysis unit and an energy audit unit, which are respectively
connected with the tracking assessment subsystem and the energy Internet big data
subsystem and send information to the energy Internet big data subsystem remotely.
8. The energy management system based on big data according to claim 7 is
characterized in that the tracking and assessment subsystem comprises a sub-item
energy consumption metering unit, an energy network metering unit and a household
metering unit, which respectively send information to the energy Internet big data
subsystem remotely.
9. The energy management system based on big data according to claim 1 is
characterized in that the energy Internet big data subsystem includes a core layer, a
connection layer and an application layer.
10. The energy management system based on big data according to claim 9 is
characterized in that the core layer has an open interface; the connection layer is used
for compiling corresponding input and output subroutines, and connecting the tasks of
the core layer and the application layer through an open information interface; the
application layer automatically calls the data and algorithms of the core layer and the
connection layer as required to complete the energy planning and management.
FIGURES 1/1
Figure 1
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