CN103914630A - Supervising system for building energy consumption - Google Patents
Supervising system for building energy consumption Download PDFInfo
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- CN103914630A CN103914630A CN201410171813.7A CN201410171813A CN103914630A CN 103914630 A CN103914630 A CN 103914630A CN 201410171813 A CN201410171813 A CN 201410171813A CN 103914630 A CN103914630 A CN 103914630A
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Abstract
The invention discloses a supervising system for building energy consumption. A supervising method includes the following steps that (1), the discriminant of the supervising system for building energy consumption is established; (2), data of building energy consumption are collected in real time and can be dynamically collected in the supervising process of building energy consumption; (3), the collected data of building energy consumption are discriminated, and the state of the data of current building energy consumption is discriminated according to the discriminant of the supervising system. Data supervising is performed on a lot of energy consumption information, abnormal conditions of the data of energy consumption are found, through discriminating the dynamic data and correction, the state of energy consumption is diagnosed by itself, through a method for auditing the data automatically, the workloads of manual auditing can be reduced, the auditing process of the data is accelerated, and usability of the data of energy consumption of the system can be improved. The supervising system can be adaptive to a complex collecting environment and has an important effect on cleaning a lot of collecting values measured through an energy consumption table.
Description
Technical field
The present invention relates to energy-saving building technology field, particularly with a kind of building energy consumption supervisory systems.
Background technology
In recent years, along with expanding economy, the construction industry development of China is rapid, and building energy consumption has occupied social total energy consumption greatly, and has the trend of rising.Meanwhile, China is in the period of energy relative shortage, and building high energy consumption situation has strengthened China's Pressure on Energy, is restricting the sustainable development of China's economy, and building energy conservation has been very urgent.Therefore, energy consumption supervision is detected as an important content for current building energy conservation, but these functions realize all need to be based on Data Source accurately.At present, due to the many-sided reason in gauge table and design and construction process, cause the energy consumption data collecting to exist the problems such as inaccurate, unreliable, only have the energy consumption data of first debug, could be by the data that collect for further energy consumption analysis.
Application number is that 201010567817.9 Chinese invention patent discloses a kind of inline diagnosis method of building abnormal energy consumption branches, and step comprises: (1) is detected all branch roads of whole building, detects sequential loop carry out according to predetermined branch; (2) determine the detection reference time, if branch road detects for the first time, from consumption information management database, read branch road consumption information, be reconfigured to phase space according to Phase Space Theory; (3) in the time that the energy consumption data detecting is abnormal, provide the branch road abnormal alarm information that energy consumption data is corresponding.Application number is that 201110233589.6 Chinese invention patent discloses a kind of Energy Consumption of Public Buildings real-time detection method based on data mining, belongs to energy-saving building technology field, comprises the following steps: S1: set up building energy consumption pattern discrimination formula; S2: Real-time Collection building energy consumption data; S3: whether differentiate current building energy consumption data is energy consumption abnormity point, carries out pattern match by current building energy consumption data and affiliated building energy consumption mode decision tree, judges whether current building energy consumption data are outlier; The present invention adopts by historical energy consumption data being carried out to the distinctive power consumption mode of cluster analysis identification buildings, to obtaining building energy consumption mode decision tree after Data classification, in the real-time testing process of building energy consumption, the energy consumption data of dynamic acquisition is carried out to pattern match, carry out outlier analysis with model identical historical data, whether extremely can differentiate current building energy consumption data.
At present, the modeling that energy consumption detects supervision is to be based upon on the basis of historical energy consumption data mostly, and ignored in the data sequence and the variation tendency situation that occur after abnormal energy consumption point, can not realize swap table simultaneously or common but automatic judgement and the processing of special circumstances such as show to turn round.
Summary of the invention
The technical problem to be solved in the present invention is to provide a kind of building energy consumption supervisory systems, this system is sorted out energy consumption data pattern, and proposes a kind of automaticdata checking method, reduces the workload of manual examination and verification, accelerate data audit process, improve the reliability of system energy consumption data.
In order to solve the problems of the technologies described above, the present invention realizes in the following manner:
Building energy consumption supervisory systems, comprises the following steps:
(1): the discriminant of setting up building energy consumption supervisory systems;
(2): real-time collecting building energy consumption data, dynamic collection building energy consumption data in building energy consumption process of supervision;
(3): differentiate the building energy consumption data of collecting, judge the state of current building energy consumption data according to the discriminant of energy consumption supervisory systems;
The discriminant of setting up building energy consumption supervisory systems in described step (1), comprising:
(11): set a threshold values F, being set in the energy consumption data that the t moment collects is V
t, when the energy consumption data of collecting meets following discriminant, the energy consumption data state of setting is now " normally " state,
(11a) V
t>=V
t-1and V
t-V
t-1≤ F;
(12): in the t moment, if gauging table is because fault is replaced, or variable has exceeded self-metering scope, or because of other reason restart metering, now gauging table is in " renewal " state, arbitrary discriminant below the energy consumption data of collecting meets, the energy consumption data state of setting is now " renewal " state
(12a) V
t-1>V
t+1>=V
t, and gauging table afterwards the moment all in " normally " state,
(12b) V
t-V
t-1>F, and gauging table afterwards the moment all in " normally " state;
(13): in the t moment, if gauging table reading is abnormal, but normal in previous moment and a rear moment reading, now gauging table is in " single bad point " state, when the energy consumption data of collecting meets arbitrary discriminant, the energy consumption data state of setting is now " single bad point " state
(13a) V
t+1>=V
t-1>V
tand Vt
+ 1-V
t-1≤ F,
(13b) V
t-V
t-1>F, V
t>V
t+1and V
t+1-V
t-1≤ F;
(14): within a period of time, if when abnomal condition appears repeatedly in gauging table reading, the energy consumption data state of setting is now " many bad points " state.
Further, the energy consumption data producing for described step (12) adopts discard processing, and the energy consumption data producing for described step (13) adopts the mean value processing in its two moment of front and back.
Compared with prior art, the beneficial effect that the present invention has: a large amount of consumption information is carried out to data supervision, find the abnormal conditions of energy consumption data, differentiate by realizing dynamic data, and diagnose voluntarily power consumption state by revising.By automaticdata checking method, reduce the workload of manual examination and verification, accelerate data audit process, improve the availability of system energy consumption data, can be applicable to complicated collection environment, the collection value of a large amount of energy consumption table meters is cleaned and had very important effect.
Accompanying drawing explanation
Fig. 1 is schematic flow sheet of the present invention.
Embodiment
Below in conjunction with the drawings and specific embodiments, the specific embodiment of the present invention is described in further detail.
As shown in Figure 1, building energy consumption supervisory systems provided by the invention, comprises the following steps:
(1): the discriminant of setting up building energy consumption supervisory systems;
(2): real-time collecting building energy consumption data, dynamic collection building energy consumption data in building energy consumption process of supervision;
(3): differentiate the building energy consumption data of collecting, judge the state of current building energy consumption data according to the discriminant of energy consumption supervisory systems;
The discriminant of setting up building energy consumption supervisory systems in described step (1), comprising:
(11): set a threshold values F, being set in the energy consumption data that the t moment collects is V
t, when the energy consumption data of collecting meets following discriminant, the energy consumption data state of setting is now " normally " state,
(11a) V
t>=V
t-1and V
t-V
t-1≤ F;
(12): in the t moment, if gauging table is because fault is replaced, or variable has exceeded self-metering scope, or because of other reason restart metering, now gauging table is in " renewal " state, arbitrary discriminant below the energy consumption data of collecting meets, the energy consumption data state of setting is now " renewal " state
(12a) V
t-1>V
t+1>=V
t, and gauging table afterwards the moment all in " normally " state,
(12b) V
t-V
t-1>F, and gauging table afterwards the moment all in " normally " state;
(13): in the t moment, if gauging table reading is abnormal, but normal in previous moment and a rear moment reading, now gauging table is in " single bad point " state, when the energy consumption data of collecting meets arbitrary discriminant, the energy consumption data state of setting is now " single bad point " state
(13a) V
t+1>=V
t-1>V
tand Vt
+ 1-V
t-1≤ F,
(13b) V
t-V
t-1>F, V
t>V
t+1and V
t+1-V
t-1≤ F;
(14): within a period of time, if when abnomal condition appears repeatedly in gauging table reading, the energy consumption data state of setting is now " many bad points " state.
Further, the energy consumption data producing for described step (12) adopts discard processing, and the energy consumption data producing for described step (13) adopts the mean value processing in its two moment of front and back.
The building energy consumption data that differentiation in described step (3) is collected, specifically comprise the following steps:
(31) initialization t=2;
(32) reading out data V
t-1and V
tif, V
t-1≤ V
t≤ V
t-1+ F, so by V
tbe labeled as " normally ", and jump to step (36); If V
t<V
t-1, jump to so step (33), otherwise, jump to step (34);
(33) reading out data V
t+1, and by V
t-1, V
tand V
t+1contrast, if V
t>=V
t+1, so by V
tbe labeled as " single bad point ", and jump to step (36); If V
t+1≤ V
t-1, need so further to read other data, and jump to (35); Otherwise, if V
t+1>V
t-1+ F, so by V
tbe labeled as " many bad points ", and jump to step (36); Otherwise, by V
tbe labeled as " single bad point ", and jump to (36);
(34) reading out data V
t+1, and by V
t-1, V
tand V
t+1contrast.If V
t-1+ P≤V
t+1≤ V
tor V
t+1>V
t+ P, so by V
tbe labeled as " many bad points ", and jump to step (36); Otherwise, if V
t+1≤ V
t-1+ P, so by V
tbe labeled as " single bad point ", and jump to step (36); Otherwise, need to further read other data, and jump to step (35);
(35) if find that by recursive call step (32)～(36) other data are for normal, so by V
tbe labeled as " renewal "; Otherwise, by V
tbe labeled as " many bad points ", make t=t+n+1, and jump to step (32);
(36) make t=t+1, and jump to step (32).
Claims (2)
1. building energy consumption supervisory systems, is characterized in that: comprise the following steps:
(1): the discriminant of setting up building energy consumption supervisory systems;
(2): real-time collecting building energy consumption data, dynamic collection building energy consumption data in building energy consumption process of supervision;
(3): differentiate the building energy consumption data of collecting, judge the state of current building energy consumption data according to the discriminant of energy consumption supervisory systems;
The discriminant of setting up building energy consumption supervisory systems in described step (1), comprising:
(11): set a threshold values F, being set in the energy consumption data that the t moment collects is V
t, when the energy consumption data of collecting meets following discriminant, the energy consumption data state of setting is now " normally " state,
(11a) V
t>=V
t-1and V
t-V
t-1≤ F;
(12): in the t moment, if gauging table is because fault is replaced, or variable has exceeded self-metering scope, or because of other reason restart metering, now gauging table is in " renewal " state, arbitrary discriminant below the energy consumption data of collecting meets, the energy consumption data state of setting is now " renewal " state
(12a) V
t-1>V
t+1>=V
t, and gauging table afterwards the moment all in " normally " state,
(12b) V
t-V
t-1>F, and gauging table afterwards the moment all in " normally " state;
(13): in the t moment, if gauging table reading is abnormal, but normal in previous moment and a rear moment reading, now gauging table is in " single bad point " state, when the energy consumption data of collecting meets arbitrary discriminant, the energy consumption data state of setting is now " single bad point " state
(13a) V
t+1>=V
t-1>V
tand Vt
+ 1-V
t-1≤ F,
(13b) V
t-V
t-1>F, V
t>V
t+1and V
t+1-V
t-1≤ F;
(14): within a period of time, if when abnomal condition appears repeatedly in gauging table reading, the energy consumption data state of setting is now " many bad points " state.
2. building energy consumption supervisory systems according to claim 1, it is characterized in that: the energy consumption data that described step (12) produces adopts discard processing, the energy consumption data producing for described step (13) adopts the mean value processing in its two moment of front and back.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410171813.7A CN103914630A (en) | 2014-04-25 | 2014-04-25 | Supervising system for building energy consumption |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410171813.7A CN103914630A (en) | 2014-04-25 | 2014-04-25 | Supervising system for building energy consumption |
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| Publication Number | Publication Date |
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| CN103914630A true CN103914630A (en) | 2014-07-09 |
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ID=51040307
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104199961A (en) * | 2014-09-19 | 2014-12-10 | 北京建筑技术发展有限责任公司 | Data mining based public building energy consumption monitoring platform data processing method |
| CN104318073A (en) * | 2014-10-08 | 2015-01-28 | 中国建筑设计院有限公司 | Electrical energy consumption simulation and energy saving method of single residential building |
| CN106250905A (en) * | 2016-07-08 | 2016-12-21 | 复旦大学 | A kind of real time energy consumption method for detecting abnormality of combination colleges and universities building structure feature |
| CN111830925A (en) * | 2020-08-06 | 2020-10-27 | 安徽华创环保设备科技有限公司 | Intelligent energy consumption supervisory systems based on regeneration metal is smelted |
| CN113723920A (en) * | 2021-08-27 | 2021-11-30 | 筑加智慧城市建设有限公司 | Intelligent energy-saving building management method, device, equipment and storage medium |
-
2014
- 2014-04-25 CN CN201410171813.7A patent/CN103914630A/en active Pending
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104199961A (en) * | 2014-09-19 | 2014-12-10 | 北京建筑技术发展有限责任公司 | Data mining based public building energy consumption monitoring platform data processing method |
| CN104318073A (en) * | 2014-10-08 | 2015-01-28 | 中国建筑设计院有限公司 | Electrical energy consumption simulation and energy saving method of single residential building |
| CN104318073B (en) * | 2014-10-08 | 2018-01-05 | 中国建筑设计院有限公司 | The method of the electric simulation of energy consumption and energy-conservation of single residential architecture |
| CN106250905A (en) * | 2016-07-08 | 2016-12-21 | 复旦大学 | A kind of real time energy consumption method for detecting abnormality of combination colleges and universities building structure feature |
| CN106250905B (en) * | 2016-07-08 | 2020-05-12 | 复旦大学 | Real-time energy consumption abnormity detection method combined with building structure characteristics of colleges and universities |
| CN111830925A (en) * | 2020-08-06 | 2020-10-27 | 安徽华创环保设备科技有限公司 | Intelligent energy consumption supervisory systems based on regeneration metal is smelted |
| CN111830925B (en) * | 2020-08-06 | 2021-07-02 | 安徽华创环保设备科技有限公司 | Intelligent energy consumption supervisory systems based on regeneration metal is smelted |
| CN113723920A (en) * | 2021-08-27 | 2021-11-30 | 筑加智慧城市建设有限公司 | Intelligent energy-saving building management method, device, equipment and storage medium |
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Application publication date: 20140709 |