CN107480371A - A kind of Building Energy Analysis and Predicting Technique based on data - Google Patents
A kind of Building Energy Analysis and Predicting Technique based on data Download PDFInfo
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- CN107480371A CN107480371A CN201710681959.XA CN201710681959A CN107480371A CN 107480371 A CN107480371 A CN 107480371A CN 201710681959 A CN201710681959 A CN 201710681959A CN 107480371 A CN107480371 A CN 107480371A
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/13—Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
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Abstract
The invention discloses a kind of Building Energy Analysis and Predicting Technique based on data, this algorithm uses the SSIS in Microsoft's BI three-pieces as algorithm implementation, and the energy consumption historical data collected with sql storages；4th step establishes managing power consumption software platform, using Microsoft Visual Studio as developing instrument, using C# language, with ASP.NET MVC frameworks, with sql data database storings, using echarts as energy consumption data figure exhibition method, using Spire.xls For.NET as the technological development managing power consumption software such as implementation of energy consumption form website.
Description
Technical field
The present invention relates to a kind of data processing technique, specifically a kind of Building Energy Analysis and prediction skill based on data
Art.
Background technology
At present, in order to ensure the accuracy of data acquisition, traditional energy consumption data acquisition terminal provides a variety of reliable peaces
Full property strategy, such as supports breakpoint transmission function, but still can not avoid the exception of data；This algorithm can be after data acquisition
Data are analyzed and processed, the data of rejecting abnormalities, the data that completion is interrupted, and the implication of analyze data, foundation are more defined
True energy consumption historical data base, pass through more vivid data display mode（IT front-end technology）Show；And by data
Modeling technique（Neutral net）, forecast model is established, obtains the analysis and prediction of short term.
In order to overcome the exception of energy consumption data, such as the power-off of ammeter, full scale are reset, dirty caused by the interruption of communication etc.
Data, after to Data Collection, the extraneous information such as parameter being had according to table is handled data, and by the data after processing with
A variety of ways of presentation（Cake chart, block diagram etc.）, a variety of dimensions（Electric consumption on lighting, air conditioning electricity etc.）, various form（Day, the moon, season
Degree, year etc.）It is presented to user；And energy consumption forecast model is established according to accurate data, the load built in a short time is divided
Analysis and prediction, so as to propose more efficiently conservation measures and scheme.
The content of the invention
The technical problem to be solved in the present invention is to provide a kind of Building Energy Analysis and Predicting Technique based on data, with solution
The problem of certainly being mentioned in background technology.
To achieve the above object, the present invention provides following technical scheme：
A kind of Building Energy Analysis and Predicting Technique based on data, are comprised the steps of：
A, rejecting abnormalities data, so that table tool full scale is reset as an example, when table tool full scale is reset, need to be extra to data progress
Processing；
B, completion data, so that data collection station powers off as an example, when data are with interval gathered data hourly, if continuous two
The difference of the timestamp of bar record is more than one hour, the data that completion is missed by the way of average value；
C, according to multiple dimensions such as the analysis of the implication of data and various dimensions, the classification of extension energy consumption, day month year, energy consumption history is formed
Database.
Compared with prior art, the beneficial effects of the invention are as follows：The present invention can by abundant data drawing list, form and
Function of statistic analysis come help analysis and evaluation build and facility energy service condition.User's moment is helped to grasp enterprise's building energy
Consumption dynamic, for statistics for building energy consumption, prediction and it is further proposed that energy-saving and emission-reduction scheme provides reference frame.
Embodiment
The technical scheme in the embodiment of the present invention will be clearly and completely described below, it is clear that described implementation
Example only part of the embodiment of the present invention, rather than whole embodiments.It is common based on the embodiment in the present invention, this area
The every other embodiment that technical staff is obtained under the premise of creative work is not made, belong to the model that the present invention protects
Enclose.
A kind of Building Energy Analysis and Predicting Technique based on data, are comprised the steps of：
The first step is rejecting abnormalities data, and so that table tool full scale is reset as an example, when table tool full scale is reset, data need to be carried out
Extra processing；Second step is completion data, so that data collection station powers off as an example, when data gather number with interval hourly
According to when, if it is continuous two record timestamp difference be more than one hour, the data that completion is missed by the way of average value；3rd
Step forms energy consumption historical data according to multiple dimensions such as the implication of data and the analysis of various dimensions, the classification of extension energy consumption, day month year
Storehouse.This algorithm uses the SSIS in Microsoft's BI three-pieces as algorithm implementation, and the energy consumption history collected with sql storages
Data；4th step establishes managing power consumption software platform, using Microsoft Visual Studio as developing instrument, using C# languages
Speech, using ASP.NET MVC frameworks, using sql data database storings, using echarts as energy consumption data figure exhibition method, with
Spire.xls For .NET are the technological development managing power consumption software websites such as the implementation of energy consumption form.
The present invention operation principle be：For the correctness of testing algorithm, with the Metasys system acquisitions of Johnson controls
The energy consumption data come is handled, is analyzed, shown and predicted.
The first step is to pull the historical data in Metasys system acquisitions, uses the mode of data rewind to avoid drawing
It is abnormal caused by power-off suddenly during taking, and power failure test is with the correctness of verification algorithm.
Second step is completion data, the record that completion is lost by the way of average value；Several records are artificially deleted, are tested
The correctness of algorithm；And data exception caused by table tool full scale is handled simultaneously, artificial change wherein historical record
Numerical value is that the maximum of table tool is read, the correctness of verification algorithm.
3rd step extends multiple dimensions, and according to data implication, the time field of record is handled, to ensure the correct of charging
Property.
The 4th step issue algorithm that three steps generate more than, timing performs, with sync database.
5th step establishes neural network prediction model with matlab instruments according to energy consumption historical data.
6th step is using Microsoft Visual Studio as developing instrument, using C# language, with ASP.NET MVC frames
Frame, with sql data database storings, using echarts as energy consumption data figure exhibition method, using Spire.xls For .NET as
The technologies such as the implementation of energy consumption form realize the displaying of data.
Claims (1)
1. a kind of Building Energy Analysis and Predicting Technique based on data, it is characterised in that comprise the steps of：
A, rejecting abnormalities data, so that table tool full scale is reset as an example, when table tool full scale is reset, need to be extra to data progress
Processing；
B, completion data, so that data collection station powers off as an example, when data are with interval gathered data hourly, if continuous two
The difference of the timestamp of bar record is more than one hour, the data that completion is missed by the way of average value；
C, according to multiple dimensions such as the analysis of the implication of data and various dimensions, the classification of extension energy consumption, day month year, energy consumption history is formed
Database.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710681959.XA CN107480371A (en) | 2017-08-10 | 2017-08-10 | A kind of Building Energy Analysis and Predicting Technique based on data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710681959.XA CN107480371A (en) | 2017-08-10 | 2017-08-10 | A kind of Building Energy Analysis and Predicting Technique based on data |
Publications (1)
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| CN107480371A true CN107480371A (en) | 2017-12-15 |
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| CN201710681959.XA Pending CN107480371A (en) | 2017-08-10 | 2017-08-10 | A kind of Building Energy Analysis and Predicting Technique based on data |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105446139A (en) * | 2015-12-18 | 2016-03-30 | 华南理工大学 | Construction energy consumption analysis method and construction energy consumption analysis system based on BP neural network |
| KR20160077740A (en) * | 2014-12-24 | 2016-07-04 | 대림산업 주식회사 | Building Energy Usage Prediction System and Method by Actual Energy Consumption Data |
| CN105825323A (en) * | 2016-03-10 | 2016-08-03 | 山东建筑大学 | Building energy consumption main influence factor analysis method based on big data |
| CN106874581A (en) * | 2016-12-30 | 2017-06-20 | 浙江大学 | A kind of energy consumption of air conditioning system in buildings Forecasting Methodology based on BP neural network model |
-
2017
- 2017-08-10 CN CN201710681959.XA patent/CN107480371A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20160077740A (en) * | 2014-12-24 | 2016-07-04 | 대림산업 주식회사 | Building Energy Usage Prediction System and Method by Actual Energy Consumption Data |
| CN105446139A (en) * | 2015-12-18 | 2016-03-30 | 华南理工大学 | Construction energy consumption analysis method and construction energy consumption analysis system based on BP neural network |
| CN105825323A (en) * | 2016-03-10 | 2016-08-03 | 山东建筑大学 | Building energy consumption main influence factor analysis method based on big data |
| CN106874581A (en) * | 2016-12-30 | 2017-06-20 | 浙江大学 | A kind of energy consumption of air conditioning system in buildings Forecasting Methodology based on BP neural network model |
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Application publication date: 20171215 |