CN108596478A - A kind of building energy management method based on Physical Network - Google Patents
A kind of building energy management method based on Physical Network Download PDFInfo
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- CN108596478A CN108596478A CN201810368926.4A CN201810368926A CN108596478A CN 108596478 A CN108596478 A CN 108596478A CN 201810368926 A CN201810368926 A CN 201810368926A CN 108596478 A CN108596478 A CN 108596478A
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- 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
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- 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
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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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
- Y04S50/00—Market activities related to the operation of systems integrating technologies related to power network operation or related to communication or information technologies
- Y04S50/16—Energy services, e.g. dispersed generation or demand or load or energy savings aggregation
Abstract
The invention belongs to building energy administrative skill fields, disclose a kind of building energy management method based on Physical Network, and the building energy management system based on Physical Network includes：Energy supply module, data acquisition module, central control module, energy scheduling module, cloud service module, energy analysis module, energy alarm module, display module.The present invention can carry out the quick calculation processing to building energy information by cloud service module using high in the clouds big data resource, provide the processing speed of energy information, keep energy scheduling rapider, provide more quick energy services to the user；The present invention can be detected effectively by energy analysis module in energy for building management simultaneously and energy for building caused by energy efficiency of equipment problem is unreasonable, and provide effective Improving advice, improve energy for building efficiency；And the system has the advantages that comprehensive, efficient, perfect, safety, intelligent, flexible.
Description
Technical field
The invention belongs to building energy administrative skill field more particularly to a kind of building energy managers based on Physical Network
Method.
Background technology
Building energy conservation, energy is lost in being initially to reduce building in developed country, commonly known as " improves the energy in building
Source utilization rate ", under conditions of ensureing to improve building comfort, efficiency of energy utilization is continuously improved in the reasonable employment energy.Building
It is energy saving to refer specifically to during the planning of building, design, newly-built (reconstruction, enlarging), transformation and use, execute energy conservation standard,
Using energy-saving technology, technique, equipment, material and product, thermal and insulating performance and heating, air conditioner refrigerating heating are improved
System effectiveness reinforces the operational management of building energy consumption system, using regenerative resource, before ensureing indoor thermal environment quality
It puts, increases indoor and outdoor energy exchange thermal resistance, to reduce heating system, air conditioner refrigerating heating, illumination, hot water supply because of big calorimetric
The energy consumption of consumption and generation.However, existing building energy information processing speed is slow, to influence rational energy dispatch deal；Together
Shi Buneng analyzes energy loss situation in time, causes energy utilization rate low.
In conclusion problem of the existing technology is：Existing building energy information processing speed is slow, to influence the energy
Rational management processing；Energy loss situation cannot be analyzed in time simultaneously, cause energy utilization rate low.
Invention content
In view of the problems of the existing technology, the building energy management method based on Physical Network that the present invention provides a kind of.
The invention is realized in this way a kind of building energy management system based on Physical Network includes：
Energy supply module, data acquisition module, central control module, energy scheduling module, cloud service module, the energy point
Analyse module, energy alarm module, display module；
Energy supply module, connect with central control module, for passing through solar energy, wind energy, geothermal energy, biological energy source to building
Build carry out function；
Data acquisition module is connect with central control module, and data acquisition is carried out for the service condition to the energy；
Central control module, with energy supply module, data acquisition module, energy scheduling module, cloud service module, the energy
Analysis module, energy alarm module, display module connection, for dispatching modules normal work；
Energy scheduling module, connect with central control module, for carrying out rational dispatching distribution to the supply of the energy；
Cloud service module, connect with central control module, and device concentration big data resource is taken to multi-energy data for passing through cloud
Information is handled；
Energy analysis module, connect with central control module, is analyzed for the energy consumption to the energy；
Energy alarm module, connect with central control module, is used for according to energy analysis module 6 as a result, to exceeded energy
Source dosage is counted, while marking the building building of exceeded energy usage；
Display module is connect with central control module, for showing energy use, Scheduling assistance information.
A kind of building energy management method based on Physical Network includes the following steps：
Solar energy, wind energy, geothermal energy, biological energy source are carried out function by step 1 by energy supply module to building；Pass through
Data acquisition module carries out data acquisition to the service condition of the energy；
Step 2, central control module transfer energy scheduling module and carry out rational dispatching distribution to the supply of the energy；
Step 3 concentrates big data resource to handle multi-energy data information by cloud service module；Pass through the energy point
Analysis module analyzes the energy consumption of the energy；
Step 4, by energy alarm module according to energy analysis module as a result, counted to exceeded energy usage,
The building building of exceeded energy usage are marked simultaneously；
Step 5 shows energy use, Scheduling assistance information by display module.
Further, the data acquisition module includes temperature detecting module, energy consumption detection module, usage amount detection module；
Temperature detecting module, for detecting temperature data when energy supply by temperature sensor；
Energy consumption detection module, for being detected to building energy consumption, equipment energy consumption data；
Usage amount detection module, for being detected to energy usage amount.
Further, the energy analysis module includes Building Energy Analysis module, energy efficiency of equipment analysis module, report generation
Module；
Building Energy Analysis module, for, than the energy consumption of analysis building, utilizing Dynamic Graph by the year-on-year of energy consumption, ring
Using for table exhibition building can situation；
Energy efficiency of equipment analysis module for the efficiency situation according to detection device, and divides the efficiency result of detection
Analysis, and formulate the scheme for the efficiency that improves equipment；
Report generation module, for according to data informations such as energy consumption, equipment consumption, usage amounts, fusion to generate building
The energy resources report forms of building.
Further, Building Energy Analysis module establishes its energy consumption dynamic by obtaining the magnanimity historical energy consumption data built
Prediction model；Assuming that dependent variable y is with m groups observation data (yk, xk1, xk2, xkn), k=1,2, the variation of m
And change, then its general type is：
Y=β0+β1xk1+β2xk2+···+βnxkn+e (1)
In formula, n is explanatory variable number, β0, β1, βnFor regression coefficient, e is regression residuals；xk1,
xk2, xknTo influence the factor of dependent variable Y；Wherein：
Then being write formula (1) as corresponding matrix form is：
Y=X β+e, E (e)=0, Cov (e)=σ2In (3)
According to the above modeling method and with energy consumption data, model can be carried out regression coefficient estimation, significance test and
Residual error autocorrelation analysis etc. finally obtains the energy consumption dynamic prediction model of building.
Further, when estimating the regression coefficient of energy consumption model, parameter Estimation, parameter are carried out using least square method
β0, β1, βnLeast-squares estimation valueIt should make whole observation ykWith regressand valueDeviation
Quadratic sum P reaches minimum, i.e.,：
Solve the estimated value that β can be obtained
In order to reduce calculation amount and data shared amount of storage in a computer, while it can also recognize and set out in real time
The characteristic of state system carries out parameter Estimation using least square method of recursion RLS, and the thought of least square method of recursion can be summarized
For：New recursive parameter estimation value is corrected on the basis of old recurrence estimation value, which can not only reduce meter
Calculation amount and amount of storage, and can realize online real-time identification, it is obtained by RLS：
Take initial parameterWith P (0)：
Take ε=[0.001,0.001,0.001]-1, α=103, in addition following formula can be used to stop as recursive algorithm
Machine standard：
E is appropriate small number (8)
Take E=5 × 10-9, it is meant that when the variation of all estimates of parameters is little, you can shut down；Formula (6) shows the k moment
Estimates of parametersEqual to the estimates of parameters at (k-1) momentIn addition correction term, joins in recursive least-squares
The P (k-1) obtained according to previous observation data in number algorithm for estimating and new observation data, can calculate K (k), thus byRecursion calculates
Advantages of the present invention and good effect are：The present invention by cloud service module can utilize high in the clouds big data resource into
Quick calculation processing of the row to building energy information, provides the processing speed of energy information, keeps energy scheduling rapider, for
Family provides more quick energy services；The present invention can be detected effectively by energy analysis module in energy for building management simultaneously
It is unreasonable with energy for building caused by energy efficiency of equipment problem, and effective Improving advice is provided, improve energy for building efficiency；And it should
System has the advantages that comprehensive, efficient, perfect, safety, intelligent, flexible.
Description of the drawings
Fig. 1 is that the present invention implements the building energy management method flow chart based on Physical Network provided.
Fig. 2 is the building energy management system structure diagram based on Physical Network that the present invention implements to provide.
In Fig. 2：1, energy supply module；2, data acquisition module；3, central control module；4, energy scheduling module；5、
Cloud service module；6, energy analysis module；7, energy alarm module；8, display module.
Specific implementation mode
In order to make the purpose , technical scheme and advantage of the present invention be clearer, with reference to embodiments, to the present invention
It is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not used to
Limit the present invention.
Below in conjunction with the accompanying drawings and specific embodiment is further described the application principle of the present invention.
As shown in Figure 1, a kind of building energy management method based on Physical Network provided by the invention includes the following steps：
Solar energy, wind energy, geothermal energy, biological energy source are carried out function by step S101 by energy supply module to building；It is logical
It crosses data acquisition module and data acquisition is carried out to the service condition of the energy；
Step S102, central control module transfer energy scheduling module and carry out rational dispatching distribution to the supply of the energy；
Step S103 concentrates big data resource to handle multi-energy data information by cloud service module；Pass through the energy
Analysis module analyzes the energy consumption of the energy；
Step S104, by energy alarm module according to energy analysis module as a result, uniting to exceeded energy usage
Meter, while marking the building building of exceeded energy usage；
Step S105 shows energy use, Scheduling assistance information by display module.
As shown in Fig. 2, the building energy management system provided by the invention based on Physical Network includes：Energy supply module 1,
Data acquisition module 2, central control module 3, energy scheduling module 4, cloud service module 5, energy analysis module 6, energy alarm
Module 7, display module 8.
Energy supply module 1 is connect with central control module 3, for passing through solar energy, wind energy, geothermal energy, biological energy source pair
Building carries out function；
Data acquisition module 2 is connect with central control module 3, and data acquisition is carried out for the service condition to the energy；
Central control module 3, with energy supply module 1, data acquisition module 2, energy scheduling module 4, cloud service module
5, energy analysis module 6, energy alarm module 7, display module 8 connect, for dispatching modules normal work；
Energy scheduling module 4 is connect with central control module 3, for carrying out rational dispatching distribution to the supply of the energy；
Cloud service module 5 is connect with central control module 3, and device concentration big data resource is taken to energy number for passing through cloud
It is believed that breath is handled；
Energy analysis module 6 is connect with central control module 3, is analyzed for the energy consumption to the energy；
Energy alarm module 7 is connect with central control module 3, is used for according to energy analysis module 6 as a result, to exceeded
Energy usage is counted, while marking the building building of exceeded energy usage；
Display module 8 is connect with central control module 3, for showing energy use, Scheduling assistance information.
Data acquisition module 2 provided by the invention includes temperature detecting module, energy consumption detection module, usage amount detection mould
Block；
Temperature detecting module, for detecting temperature data when energy supply by temperature sensor；
Energy consumption detection module, for being detected to building energy consumption, equipment energy consumption data；
Usage amount detection module, for being detected to energy usage amount.
Energy analysis module 6 provided by the invention includes Building Energy Analysis module, energy efficiency of equipment analysis module, report life
At module；
Building Energy Analysis module, for, than the energy consumption of analysis building, utilizing Dynamic Graph by the year-on-year of energy consumption, ring
Using for table exhibition building can situation；
Energy efficiency of equipment analysis module for the efficiency situation according to detection device, and divides the efficiency result of detection
Analysis, and formulate the scheme for the efficiency that improves equipment；
Report generation module, for according to data informations such as energy consumption, equipment consumption, usage amounts, fusion to generate building
The energy resources report forms of building.
Building Energy Analysis module establishes its energy consumption dynamic prediction mould by obtaining the magnanimity historical energy consumption data built
Type；Assuming that dependent variable y is with m groups observation data (yk, xk1, xk2, xkn), k=1,2, the variation of m and become
Change, then its general type is：
Y=β0+β1xk1+β2xk2+···+βnxkn+e (1)
In formula, n is explanatory variable number, β0, β1, βnFor regression coefficient, e is regression residuals；xk1,
xk2, xknTo influence the factor of dependent variable Y；Wherein：
Then being write formula (1) as corresponding matrix form is：
Y=X β+e, E (e)=0, Cov (e)=σ2In (3)
According to the above modeling method and with energy consumption data, model can be carried out regression coefficient estimation, significance test and
Residual error autocorrelation analysis etc. finally obtains the energy consumption dynamic prediction model of building.
When the regression coefficient of energy consumption model is estimated, parameter Estimation, parameter beta are carried out using least square method0,
β1, βnLeast-squares estimation valueIt should make whole observation ykWith regressand valueDeviation square
Reach minimum with P, i.e.,：
Solve the estimated value that β can be obtained
In order to reduce calculation amount and data shared amount of storage in a computer, while it can also recognize and set out in real time
The characteristic of state system carries out parameter Estimation using least square method of recursion RLS, and the thought of least square method of recursion can be summarized
For：New recursive parameter estimation value is corrected on the basis of old recurrence estimation value, which can not only reduce meter
Calculation amount and amount of storage, and can realize online real-time identification, it is obtained by RLS：
Take initial parameterWith P (0)：
Take ε=[0.001,0.001,0.001]-1, α=103, in addition following formula can be used to stop as recursive algorithm
Machine standard：
E is appropriate small number (8)
Take E=5 × 10-9, it is meant that when the variation of all estimates of parameters is little, you can shut down；Formula (6) shows the k moment
Estimates of parametersEqual to the estimates of parameters at (k-1) momentIn addition correction term, joins in recursive least-squares
The P (k-1) obtained according to previous observation data in number algorithm for estimating and new observation data, can calculate K (k), thus byRecursion calculates
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention
All any modification, equivalent and improvement etc., should all be included in the protection scope of the present invention made by within refreshing and principle.
Claims (6)
1. a kind of building energy management method based on Physical Network, which is characterized in that the building energy pipe based on Physical Network
Reason system includes：
Energy supply module, data acquisition module, central control module, energy scheduling module, cloud service module, energy analysis mould
Block, energy alarm module, display module；
Energy supply module, connect with central control module, for pass through solar energy, wind energy, geothermal energy, biological energy source to build into
Row function；
Data acquisition module is connect with central control module, and data acquisition is carried out for the service condition to the energy；
Central control module, with energy supply module, data acquisition module, energy scheduling module, cloud service module, energy analysis
Module, energy alarm module, display module connection, for dispatching modules normal work；
Energy scheduling module, connect with central control module, for carrying out rational dispatching distribution to the supply of the energy；
Cloud service module, connect with central control module, and device concentration big data resource is taken to multi-energy data information for passing through cloud
It is handled；
Energy analysis module, connect with central control module, is analyzed for the energy consumption to the energy；
Energy alarm module, connect with central control module, is used for according to energy analysis module 6 as a result, using the exceeded energy
Amount is counted, while marking the building building of exceeded energy usage；
Display module is connect with central control module, for showing energy use, Scheduling assistance information.
2. a kind of building energy management method based on Physical Network includes the following steps：
Solar energy, wind energy, geothermal energy, biological energy source are carried out function by step 1 by energy supply module to building；Pass through data
Acquisition module carries out data acquisition to the service condition of the energy；
Step 2, central control module transfer energy scheduling module and carry out rational dispatching distribution to the supply of the energy；
Step 3 concentrates big data resource to handle multi-energy data information by cloud service module；Pass through energy analysis mould
Block analyzes the energy consumption of the energy；
Step 4, by energy alarm module according to energy analysis module as a result, being counted to exceeded energy usage, simultaneously
Mark the building building of exceeded energy usage；
Step 5 shows energy use, Scheduling assistance information by display module.
3. the building energy management method based on Physical Network as described in claim 1, which is characterized in that the data acquisition module
Block includes temperature detecting module, energy consumption detection module, usage amount detection module；
Temperature detecting module, for detecting temperature data when energy supply by temperature sensor；
Energy consumption detection module, for being detected to building energy consumption, equipment energy consumption data；
Usage amount detection module, for being detected to energy usage amount.
4. the building energy management method based on Physical Network as described in claim 1, which is characterized in that the energy analysis mould
Block includes Building Energy Analysis module, energy efficiency of equipment analysis module, report generation module；
Building Energy Analysis module, for, than the energy consumption of analysis building, utilizing dynamic chart exhibition by the year-on-year of energy consumption, ring
Show that using for building can situation；
Energy efficiency of equipment analysis module for the efficiency situation according to detection device, and is analyzed the efficiency result of detection, and
Formulate the scheme for the efficiency that improves equipment；
Report generation module, for according to data informations such as energy consumption, equipment consumption, usage amounts, fusion to generate building building
Energy resources report forms.
5. the building energy management method based on Physical Network as claimed in claim 4, which is characterized in that Building Energy Analysis mould
Block establishes its energy consumption dynamic prediction model by obtaining the magnanimity historical energy consumption data built；Assuming that dependent variable y is seen with m groups
Measured data (yk, xk1, xk2... xkn), the variation of k=1,2 ..., m and change, then its general type is：
Y=β0+β1xk1+β2xk2+…+βnxkn+e (1)
In formula, n is explanatory variable number, β0, β1..., βnFor regression coefficient, e is regression residuals；xk1, xk2..., xknTo influence
The factor of dependent variable Y；Wherein：
Then being write formula (1) as corresponding matrix form is：
Y=X β+e, E (e)=0, Cov (e)=σ2In (3)
According to the above modeling method and with energy consumption data, regression coefficient estimation, significance test and residual error can be carried out to model
Autocorrelation analysis etc. finally obtains the energy consumption dynamic prediction model of building.
6. the building energy management method based on Physical Network as claimed in claim 5, which is characterized in that returned to energy consumption model
When coefficient being returned to be estimated, parameter Estimation, parameter beta are carried out using least square method0, β1..., βnLeast-squares estimation valueIt should make whole observation ykWith regressand valueSum of square of deviations P reach minimum, i.e.,：
Solve the estimated value that β can be obtained
In order to reduce calculation amount and data shared amount of storage in a computer, while dynamical system can also be picked out in real time
The characteristic of system carries out parameter Estimation using least square method of recursion RLS, and the thought of least square method of recursion may be summarized to be：Newly
Recursive parameter estimation value be to be corrected on the basis of old recurrence estimation value, the algorithm can not only reduce calculation amount and
Amount of storage, and can realize online real-time identification, it is obtained by RLS：
Take initial parameterWith P (0)：
Take ε=[0.001,0.001 ..., 0.001]-1, α=103, shutdown standard of the following formula as recursive algorithm in addition can be used：
E is appropriate small number (8)
Take E=5 × 10-9, it is meant that when the variation of all estimates of parameters is little, you can shut down；Formula (6) shows the ginseng at k moment
Number estimated valueEqual to the estimates of parameters at (k-1) momentIn addition correction term, estimates in recursive least-squares parameter
The P (k-1) obtained according to previous observation data in calculating method and new observation data, can calculate K (k), thus byRecursion calculates
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| CN112947162A (en) * | 2021-02-01 | 2021-06-11 | 湖南工程学院 | Civil building structure energy-saving control system and method |
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Application publication date: 20180928 |