CN102346445A - Energy consumption control system and method for area buildings - Google Patents

Energy consumption control system and method for area buildings Download PDF

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Publication number
CN102346445A
CN102346445A CN2011102355391A CN201110235539A CN102346445A CN 102346445 A CN102346445 A CN 102346445A CN 2011102355391 A CN2011102355391 A CN 2011102355391A CN 201110235539 A CN201110235539 A CN 201110235539A CN 102346445 A CN102346445 A CN 102346445A
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building
control
information
energy consumption
demand
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杨瑞
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BEIJING SIJI MICROENTROPY TECHNOLOGY CO LTD
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BEIJING SIJI MICROENTROPY TECHNOLOGY CO LTD
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Abstract

The invention discloses an energy consumption control system and method for area buildings, relating to the technical field of comprehensive building energy consumption control. The system comprises a distributed video sensor unit, machine vision recognition unit, a distributed comfort sensor unit, a subarea information fusion unit, a single building control unit and an area control center unit, wherein the distributed video sensor unit comprises a plurality of video sensors distributed in different subareas in one building, the machine vision recognition unit is connected with the distributed video sensor unit, the distributed comfort sensor unit comprises a plurality of comfort sensors distributed in different subareas in the one building, the subarea information fusion unit is used for generating a distribution control demand of each subarea in the one building, the single building control unit is used for generating the control demand of the one building, and the area control center unit is used for performing area energy consumption balance and optimization to generate control information. The system provided by the invention can be used for realizing area energy consumption balance and optimization, energy consumption balance and optimization of buildings and consumption balance and optimization of cold and heat sources and a tail end so as to finally obtain the optimal point of balance between comfort and energy consumption and reduce the energy consumption and carbon emission of area buildings.

Description

Zone building energy consumption control system and method thereof
Technical field
The present invention relates to building energy consumption Comprehensive Control Technology field, relate in particular to a kind of regional building energy consumption control system and method thereof.
Background technology
At present, the energy-output ratio of buildings has surpassed other any industries, and whole world buildings energy resource consumption accounts for 40% of whole society's energy resource consumption total amount, is 1.5 times of industrial energy consumption, and the energy dissipation that reduces buildings becomes the important step that improves energy efficiency.
Chinese patent CN200710035773.3; A kind of construction energy-conserving control method and system of computer networking are proposed; It can unify to gather the energy real time data of building energy consumption equipment; And compare with the energy consumption standard value, as exceed standard and then report to the police and control, make energy consumption equipment operation or shut down.But this method is because the energy consumption factor of considering is too simple, and do not consider people's factors such as comfort level, thereby lacks rationality and hommization, and the carbon emission amount of the energy of saving and minimizing also ten minutes is limited.
Summary of the invention
The technical matters that (one) will solve
The technical matters that the present invention will solve is: a kind of regional building energy consumption control system and method thereof are provided; It can access the optimal balance point of people's comfort level and energy consumption; In underwriter's comfort level; Effectively reduce regional building energy consumption and carbon emission amount, thus more rationally, have more hommization.
(2) technical scheme
For addressing the above problem, the invention provides a kind of regional building energy consumption control system, comprising:
The distributed video sensor unit comprises a plurality of video sensors that are distributed in different sub zone in single the building, is used to obtain the personal information in different sub zone in single the building;
The Machine Vision Recognition unit is connected with said distributed video sensor unit, is used to obtain the personnel in different sub zone in single the building and the change information of environment;
Distributed comfort level sensor unit comprises a plurality of comfort level sensors that are distributed in different sub zone in single the building, is used to measure the hot comfort information in different sub zone in single the building;
Subregion information fusion unit is used for the change information and the said hot comfort information of said personnel and environment are carried out information fusion, generates the distribution demand for control of all subregion in single the building;
Single building control module; Be used for the demand for control of a plurality of said subregions is carried out the demand for control that data fusion generates single building; And under the Regional Control Center unit controls, generate the subregion steering order, build balance optimizing, single Building Cooling source and terminal balance optimizing;
The Regional Control Center unit; Be used for the demand for control of a plurality of single buildings is carried out information fusion; Obtain the Region control demand information, and carry out regional energy consumption balance optimizing generation control information, send to said single building control module according to gained Region control demand information.
Preferably, system also comprises man-machine interface, is located in all subregion of single building, is used to show metrical information and control signal, and makes the user control the equipment operation condition in the subregion.
A kind of method of utilizing aforementioned system that the zone building is carried out energy consumption control may further comprise the steps:
A: the personal information that the distributed video sensor unit obtains; Identification obtains the personnel in different sub zone in single the building and the change information of environment through the Machine Vision Recognition unit, and distributed comfort level sensor unit obtains the hot comfort information in different sub zone in single the building;
B: subregion information fusion unit carries out information fusion with the change information and the said hot comfort information of said personnel that obtained and environment, generates the demand for control of all subregion in single the building and sends to single building control module;
C: single building control module carries out data fusion to the demand for control of a plurality of said subregions, generates the demand for control of single building and sends to the Regional Control Center unit;
D: said Regional Control Center unit carries out information fusion to the demand for control of a plurality of single buildings, obtains the Region control demand information;
E: said Regional Control Center unit carries out regional energy consumption balance optimizing according to gained Region control demand information, generates control information and sends to single building control module;
F: single building control module generates the subregion steering order according to said control information, and builds balance optimizing, single Building Cooling source and terminal balance optimizing.
Preferably, said personal information comprises: personnel's distribution, density of personnel and personnel activity's situation information.
Preferably; Among the said step C; The demand for control of a plurality of said subregions is carried out data fusion to be comprised: carry out weighting according to subregion importance, subregion area index, and combine terminal consumption information, Cooling and Heat Source consumption information, outdoor climate information and electricity price fluctuation, district cooling heat capacity information to carry out information weighting and merge.
Described information weighting fusion is about to These parameters and information description is a numerical value between 0~1, and gives weight according to significance level, and it is average to carry out weighted sum.
Preferably, in the said step e, carry out regional energy consumption balance optimizing and comprise: require to carry out regional energy consumption balance optimizing according to regional energy security, regional carbon dioxide and energy efficiency.
Zone energy consumption balance optimizing is meant according to each regional size, operating position and significance level, gives different weights with each zone, and the cold and heat supply amount of distributing different Cooling and Heat Source to provide according to weight.
Preferably; In the said steps A; The hot comfort information of obtaining different sub zone in single the building through distributed comfort level sensor unit comprises: the comfort level survey sensor in the subregion distributes according to the comfort level index in the PMV-PDD index system measuring chamber, and obtains subjective comfort information according to said personal information.
(3) beneficial effect
The present invention is based on analysis to distributed video information in the groups of building and distributed indoor comfort degree metrical information; Balance and optimization, Cooling and Heat Source and the terminal balance optimizing of balance through carrying out regional energy consumption and optimization, building energy consumption; Can access the optimal balance point of comfort level and energy consumption; In underwriter's comfort level, effectively reduce regional building energy consumption and carbon emission amount, thereby more rationally, have more hommization.
Description of drawings
Fig. 1 is the structural drawing of regional building energy consumption control system according to the invention;
Fig. 2 is the process flow diagram that the zone building is carried out the method for energy consumption control according to the invention;
Fig. 3 is the evaluation index that characterizes the human heat reaction described in the embodiment of the present invention.
Embodiment
Below in conjunction with accompanying drawing and embodiment, specific embodiments of the invention describes in further detail.Following examples are used to explain the present invention, but are not used for limiting scope of the present invention.
As shown in Figure 1, regional building energy consumption control system according to the invention comprises:
The distributed video sensor unit comprises a plurality of video sensors that are distributed in different sub zone in single the building, is used to obtain the personal information in different sub zone in single the building;
The Machine Vision Recognition unit is connected with said distributed video sensor unit, is used to obtain the personnel in different sub zone in single the building and the change information of environment;
Distributed comfort level sensor unit comprises a plurality of comfort level sensors that are distributed in different sub zone in single the building, is used to measure the hot comfort information in different sub zone in single the building;
Subregion information fusion unit is used for the change information and the said hot comfort information of said personnel and environment are carried out information fusion, generates the distribution demand for control of all subregion in single the building;
Single building control module; Be used for the demand for control of a plurality of said subregions is carried out the demand for control that data fusion generates single building; And under the Regional Control Center unit controls, generate the subregion steering order, build balance optimizing, single Building Cooling source and terminal balance optimizing;
The Regional Control Center unit; Be used for the demand for control of a plurality of single buildings is carried out information fusion; Obtain the Region control demand information, and carry out regional energy consumption balance optimizing generation control information, send to said single building control module according to gained Region control demand information.
Also comprise the man-machine interface (not shown), be located in all subregion of single building, be used to show metrical information and control signal, and make the user control the equipment operation condition in the subregion.Wherein, m, n are natural number.
As shown in Figure 2, the method for utilizing aforementioned system that the zone building is carried out energy consumption control according to the invention may further comprise the steps:
A: the personal information that the distributed video sensor unit obtains; Identification obtains the personnel in different sub zone in single the building and the change information of environment through the Machine Vision Recognition unit, and distributed comfort level sensor unit obtains the hot comfort information in different sub zone in single the building;
In this step, said personal information comprises: personnel's distribution, density of personnel and personnel activity's situation information.
The hot comfort information of obtaining the zone of different sub in single the building through distributed comfort level sensor unit comprises: the comfort level survey sensor in the subregion is according to the comfort level distribution index in the PMV-PDD index system measuring chamber, and obtains subjective comfort information according to said personal information.
Native system adopts the PMV-PDD index system to generate the indoor comfort degree distribution index.
The English full name of PMV is Predicted Mean Vote, promptly predicts average votes.Pmv value is the evaluation index (referring to Fig. 3) of the sign human heat reaction (warm-cold sensitivity) that proposes of Fan Geer (P.O.Fanger) professor of Denmark, has represented most of people's in the same environment cold and hot sensation average.PMV-PDD thermal comfort model is that body temperature is regulated mathematical model the earliest; The most of people of index expression that this model proposes are to the average ballot value of thermal environment; It has seven grades of sensations, promptly cold (3), cool (2), cool (1), neutral (0), warm (1), warm (2), heat (3) slightly slightly.
Mean during PMV=0 that indoor thermal environment is the optimal heat comfort conditions.ISO7730 to the recommendation of PMV be pmv value=-0.5~+ 0.5 between.The PMV index can obtain through the metabolic rate of estimation physical activity and the insulation value of clothes, also following environmental parameter need be arranged simultaneously: air themperature, mean radiant temperature, relative air velocity and air humidity.The PMV index is according to the human heat EQUILIBRIUM CALCULATION FOR PROCESS.When the heat that produces when inside of human body equaled in environment dispersed heat, the people was in thermal equilibrium state.
The PMV index has been represented most people's under the same environment hotness, but has physiological differences between men, and the PMV index might not be represented proprietary sensation.Therefore Fanger has proposed again to predict that being unsatisfied with number percent PPD index comes the expression crowd to the unsatisfied percentage of thermal environment, and uses probability analysis method, has provided the quantitative relationship between PMV and the PPD.Fanger has taught according to the pmv indicator-specific statistics lot of data and has processed form, deduces out the PDD index by these data, and both close and claim the PMV-PDD evaluation index.
The English full name of PDD is the dissatisfied percentage of prediction for (Predicted Percentage of Dissatisfied).Its formula is:
PDD = 100 - 95 e - ( 0.03353 PMV 4 + 0.2179 PMV 2 )
B: subregion information fusion unit carries out information fusion with the change information and the said hot comfort information of said personnel that obtained and environment, generates the demand for control of all subregion in single the building and sends to single building control module;
In this step, the described information fusion of carrying out promptly is that change information and the said hot comfort information description with said personnel and environment is a numerical value between 0~1, and gives weight according to significance level that it is average to carry out weighted sum.
C: single building control module carries out data fusion to the demand for control of a plurality of said subregions, generates the demand for control of single building and sends to the Regional Control Center unit;
In this step; The demand for control of a plurality of said subregions is carried out data fusion to be comprised: carry out weighting according to subregion importance, subregion area index, and combine terminal consumption information, Cooling and Heat Source consumption information, outdoor climate information and electricity price fluctuation, district cooling heat capacity information to carry out information weighting and merge.
Described information weighting fusion is about to These parameters and information description is a numerical value between 0~1, and gives weight according to significance level, and it is average to carry out weighted sum.
D: said Regional Control Center unit carries out information fusion to the demand for control of a plurality of single buildings, obtains the Region control demand information;
In this step, the described information fusion of carrying out promptly is that the demand for control with a plurality of single buildings is described as a numerical value between 0~1, and gives weight according to significance level that it is average to carry out weighted sum.
E: said Regional Control Center unit carries out regional energy consumption balance optimizing according to gained Region control demand information, generates control information and sends to single building control module;
In this step, carry out regional energy consumption balance optimizing and comprise: require to carry out regional energy consumption balance optimizing according to regional energy security, regional carbon dioxide and energy efficiency.
Zone energy consumption balance optimizing is meant according to each regional size, operating position and significance level, gives different weights with each zone, and the cold and heat supply amount of distributing different Cooling and Heat Source to provide according to weight.
F: single building control module generates the subregion steering order according to said control information, and builds balance optimizing, single Building Cooling source and terminal balance optimizing.
Above embodiment only is used to explain the present invention; And be not limitation of the present invention; The those of ordinary skill in relevant technologies field under the situation that does not break away from the spirit and scope of the present invention, can also be made various variations and modification; Therefore all technical schemes that are equal to also belong to category of the present invention, and scope of patent protection of the present invention should be defined by the claims.

Claims (7)

1. a regional building energy consumption control system is characterized in that, comprising:
The distributed video sensor unit comprises a plurality of video sensors that are distributed in different sub zone in single the building, is used to obtain the personal information in different sub zone in single the building;
The Machine Vision Recognition unit is connected with said distributed video sensor unit, is used to obtain the personnel in different sub zone in single the building and the change information of environment;
Distributed comfort level sensor unit comprises a plurality of comfort level sensors that are distributed in different sub zone in single the building, is used to measure the hot comfort information in different sub zone in single the building;
Subregion information fusion unit is used for the change information and the said hot comfort information of said personnel and environment are carried out information fusion, generates the distribution demand for control of all subregion in single the building;
Single building control module; Be used for the demand for control of a plurality of said subregions is carried out the demand for control that data fusion generates single building; And under the Regional Control Center unit controls, generate the subregion steering order, build balance optimizing, single Building Cooling source and terminal balance optimizing;
The Regional Control Center unit; Be used for the demand for control of a plurality of single buildings is carried out information fusion; Obtain the Region control demand information, and carry out regional energy consumption balance optimizing generation control information, send to said single building control module according to gained Region control demand information.
2. regional building energy consumption control system as claimed in claim 1 is characterized in that, also comprises man-machine interface, is located in all subregion of single building, is used to show metrical information and control signal, and makes the user control the equipment operation condition in the subregion.
3. one kind is utilized the method that each said system carries out energy consumption control to the zone building among the claim 1-2, it is characterized in that, may further comprise the steps:
A: the personal information that the distributed video sensor unit obtains; Identification obtains the personnel in different sub zone in single the building and the change information of environment through the Machine Vision Recognition unit, and distributed comfort level sensor unit obtains the hot comfort information in different sub zone in single the building;
B: subregion information fusion unit carries out information fusion with the change information and the said hot comfort information of said personnel that obtained and environment, generates the demand for control of all subregion in single the building and sends to single building control module;
C: single building control module carries out data fusion to the demand for control of a plurality of said subregions, generates the demand for control of single building and sends to the Regional Control Center unit;
D: said Regional Control Center unit carries out information fusion to the demand for control of a plurality of single buildings, obtains the Region control demand information;
E: said Regional Control Center unit carries out regional energy consumption balance optimizing according to gained Region control demand information, generates control information and sends to single building control module;
F: single building control module generates the subregion steering order according to said control information, and builds balance optimizing, single Building Cooling source and terminal balance optimizing.
4. the method that the zone building is carried out energy consumption control as claimed in claim 3 is characterized in that said personal information comprises: personnel's distribution, density of personnel and personnel activity's situation information.
5. the method that the zone building is carried out energy consumption control as claimed in claim 3; It is characterized in that; Among the said step C; The demand for control of a plurality of said subregions is carried out data fusion to be comprised: carry out weighting according to subregion importance, subregion area index, and combine terminal consumption information, Cooling and Heat Source consumption information, outdoor climate information and electricity price fluctuation, district cooling heat capacity information to carry out information weighting and merge.
6. the method that the zone building is carried out energy consumption control as claimed in claim 3; It is characterized in that; In the said step e, carry out regional energy consumption balance optimizing and comprise: require to carry out regional energy consumption balance optimizing according to regional energy security, regional carbon dioxide and energy efficiency.
7. the method that the zone building is carried out energy consumption control as claimed in claim 3; It is characterized in that; In the said steps A; The hot comfort information of obtaining different sub zone in single the building through distributed comfort level sensor unit comprises: the comfort level survey sensor in the subregion distributes according to the comfort level index in the PMV-PDD index system measuring chamber, and obtains subjective comfort information according to said personal information.
CN2011102355391A 2011-08-16 2011-08-16 Energy consumption control system and method for area buildings Pending CN102346445A (en)

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CN103439463A (en) * 2013-08-16 2013-12-11 深圳中建院建筑科技有限公司 Real-time online monitoring system for carbon emission of building
CN103679306A (en) * 2012-08-31 2014-03-26 国际商业机器公司 Method and system for saving building energy consumption
CN103761391A (en) * 2014-01-22 2014-04-30 同济大学 Design method for improving building energy balance
CN104823001A (en) * 2012-12-06 2015-08-05 松下知识产权经营株式会社 Space environment management device, space environment management system, and space environment management method
CN105717792A (en) * 2015-12-23 2016-06-29 武汉烽火富华电气有限责任公司 Building energy consumption management system and method based on Internet of things
CN105870930A (en) * 2015-01-22 2016-08-17 国家电网公司 Low-frequency load-shedding control method for intelligent household appliance
CN107220472A (en) * 2017-08-06 2017-09-29 马婷 Energy consumption meter and Energy Consumption Evaluation method based on construction area and Energy Efficiency Ratio
CN107479597A (en) * 2017-07-18 2017-12-15 深圳爱贝蕊恩国际健康管理有限公司 A kind of neonate's indoor environment center management system
CN109799718A (en) * 2019-01-29 2019-05-24 特斯联(北京)科技有限公司 A kind of wisdom building control method and system based on Internet of Things sensing
CN110998193A (en) * 2017-04-28 2020-04-10 空间私人有限公司 Zone cooling system
CN112114087A (en) * 2019-06-21 2020-12-22 苏州五蕴明泰科技有限公司 Dynamic balance control method for greenhouse gas emission in building field
CN114611201A (en) * 2022-05-12 2022-06-10 北京中建协认证中心有限公司 Multi-objective energy-saving optimization method and system for future climate building
CN115796390A (en) * 2023-01-31 2023-03-14 北京智能建筑科技有限公司 Data-driven building energy consumption abnormity diagnosis method and system

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CN103679306A (en) * 2012-08-31 2014-03-26 国际商业机器公司 Method and system for saving building energy consumption
CN104823001A (en) * 2012-12-06 2015-08-05 松下知识产权经营株式会社 Space environment management device, space environment management system, and space environment management method
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CN105870930A (en) * 2015-01-22 2016-08-17 国家电网公司 Low-frequency load-shedding control method for intelligent household appliance
CN105717792A (en) * 2015-12-23 2016-06-29 武汉烽火富华电气有限责任公司 Building energy consumption management system and method based on Internet of things
CN110998193A (en) * 2017-04-28 2020-04-10 空间私人有限公司 Zone cooling system
CN107479597A (en) * 2017-07-18 2017-12-15 深圳爱贝蕊恩国际健康管理有限公司 A kind of neonate's indoor environment center management system
CN107220472A (en) * 2017-08-06 2017-09-29 马婷 Energy consumption meter and Energy Consumption Evaluation method based on construction area and Energy Efficiency Ratio
CN107220472B (en) * 2017-08-06 2021-06-11 马婷 Energy consumption instrument based on building area and energy efficiency ratio and energy consumption evaluation method
CN109799718A (en) * 2019-01-29 2019-05-24 特斯联(北京)科技有限公司 A kind of wisdom building control method and system based on Internet of Things sensing
CN112114087A (en) * 2019-06-21 2020-12-22 苏州五蕴明泰科技有限公司 Dynamic balance control method for greenhouse gas emission in building field
CN114611201A (en) * 2022-05-12 2022-06-10 北京中建协认证中心有限公司 Multi-objective energy-saving optimization method and system for future climate building
CN115796390A (en) * 2023-01-31 2023-03-14 北京智能建筑科技有限公司 Data-driven building energy consumption abnormity diagnosis method and system

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Application publication date: 20120208