CN110175200A - A kind of abnormal energy analysis method and system based on intelligent algorithm - Google Patents
A kind of abnormal energy analysis method and system based on intelligent algorithm Download PDFInfo
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Abstract
The abnormal energy analysis method and system based on intelligent algorithm that the invention discloses a kind of, method includes the following steps: step 1: according to intelligent algorithm, extracting feature of the exception in energy data, and form abnormal energy feature database；Step 2: according to history normality data, analyzing the standard feature of data and curves variation, establish simultaneously optimisation criteria feature database；Step 3: according to standard feature library rule, periodically identifying nonstandard directrix curve in the historical data, and nonstandard directrix curve is determined as exception, interception abnormal curve can data as abnormal use；Step 4: using energy data according to abnormal, recognize abnormal cause, and integrate abnormal energy event information.The present invention be that government precisely grasps industry and changes, copes with that climate change, to be that power supply company's precision strike is violating the regulations provide AUTHORITATIVE DATA with energy behavior etc. and support by intelligent algorithm INTELLIGENT IDENTIFICATION exception state with energy.
Description
Technical field
The present invention relates to wisdom energy fields, and in particular to a kind of abnormal energy analysis method based on intelligent algorithm
And system.
Background technique
Smart city is that one kind passes through integrated use modern science and technology, integrates information resources, pool business, reinforces city
The new model of planning, construction and management is a kind of new city management ecosystem.It is used since smart city is comprehensive and includes
Generation information technology including radio frequency sensing technology, technology of Internet of things, cloud computing technology, next generation communication technology, therefore energy
It is enough effectively to dissolve "urban disease" problem.
The wisdom energy is a kind of completely new energy form proposed on the basis of smart city.In " internet+" and " wisdom
Under the background that the energy " is widely used, the wisdom energy and energy internet turn internet and energy industry future hair into
The only way which must be passed of exhibition.Cloud computing, big data have become the direction of every profession and trade development.
But existing wisdom Energy Platform cannot achieve to it is abnormal with can analytical judgment, i.e., can not be from collected
Abnormal energy analysis is recognized in mass data.Thus, how to realize INTELLIGENT IDENTIFICATION exception state with energy, output is abnormal
Possible cause probability, and according to the cumulative number of abnormal the reason of occurring type and exception, it has also become dealer strongly sends out
One of target of exhibition.
Summary of the invention
The abnormal energy analysis method and system based on intelligent algorithm that the object of the present invention is to provide a kind of, to solve
Above-mentioned problem of the prior art.
In order to achieve the above objectives, the abnormal energy analysis method based on intelligent algorithm that the present invention provides a kind of,
The following steps are included:
Step 1: according to intelligent algorithm, extracting feature of the exception in energy data, and form abnormal energy feature database；
Step 2: according to history normality data, analyzing the standard feature of data and curves variation, establish simultaneously optimisation criteria feature
Library；
Step 3: according to standard feature library rule, periodically identifying nonstandard directrix curve in the historical data, and by non-standard song
Line is determined as exception, and interception abnormal curve is as abnormal with energy data；
Step 4: using energy data according to abnormal, recognize abnormal cause, and integrate abnormal energy event information.
The above-mentioned abnormal energy analysis method based on intelligent algorithm, wherein step 1 the following steps are included:
Step 1.1: according to intelligent algorithm, extracting the abnormal feature in energy data, establish corresponding model；
Step 1.2: for off-note model recovery test sample data；
Step 1.3: accumulation forms abnormal energy feature database.
The above-mentioned abnormal energy analysis method based on intelligent algorithm, wherein further include step 5: energy is used to abnormal
Event is for statistical analysis.
The above-mentioned abnormal energy analysis method based on intelligent algorithm, wherein the step 5 specifically includes following step
It is rapid: it is abnormal with can situation show, it is abnormal energy client ranking, abnormal with can trade classification ranking, abnormal similarity analysis and different
Common energy feature database self-teaching trend analysis.
The abnormal energy analysis system based on intelligent algorithm that the present invention also provides a kind of comprising:
Analysis For The Anomalies module for extracting the abnormal feature in energy data according to intelligent algorithm, and is formed
Abnormal energy feature database；
Standard feature analysis module is established for analyzing the standard feature of data and curves variation according to history normality data
And optimisation criteria feature database；
Anomalous identification module, for periodically identifying nonstandard directrix curve in the historical data according to standard feature library rule, and
Nonstandard directrix curve is determined as exception, interception abnormal curve is as abnormal with energy data；
Analysis of causes module recognizes abnormal cause, and integrate abnormal energy event and believe for using energy data according to abnormal
Breath.
The above-mentioned abnormal energy analysis system based on intelligent algorithm, wherein the Analysis For The Anomalies module packet
It includes:
Characteristic model module, for extracting the abnormal feature in energy data, establishing respective mode according to intelligent algorithm
Type；
Repair data module, for being off-note model recovery test sample data；
Off-note library module, can feature database for accumulating abnormal use of formation.
The above-mentioned abnormal energy analysis system based on intelligent algorithm, wherein the system further includes anomaly statistics mould
Block, for abnormal for statistical analysis with energy event.
The above-mentioned abnormal energy analysis system based on intelligent algorithm, wherein the anomaly statistics module includes: different
Common energy situation display module, abnormal energy client ranking module, exception are used can trade classification ranking module, exception similarity point
Analyse module and abnormal energy feature database self-teaching trend analysis module.
Compared with the existing technology, the invention has the following advantages:
The present invention is by user terminal energy resource collecting data, and with big data analysis, intelligence learning and a variety of mathematics are calculated
The high-end technological means INTELLIGENT IDENTIFICATION exception state with energy such as method, exports the probability for the possible cause being abnormal, and according to exception
The reason of generation type and exception cumulative number, from the dimensions such as subregion, branch trade, time statistically analyze, be government it is accurate
Grasp industry changes, reply climate change, breaks rules and regulations to provide AUTHORITATIVE DATA branch with energy behavior etc. for power supply company's precision strike
Support.
Detailed description of the invention
Fig. 1 is that the present invention is based on the flow charts of the abnormal energy analysis method of intelligent algorithm；
Fig. 2 is that the present invention is based on the structural schematic diagrams of the abnormal energy analysis system of intelligent algorithm；
Fig. 3 is the structural schematic diagram of Analysis For The Anomalies module in the present invention；
Fig. 4 is the structural schematic diagram of anomaly statistics module in the present invention.
Specific embodiment
Below in conjunction with attached drawing, by specific embodiment, the invention will be further described, these embodiments are merely to illustrate
The present invention is not limiting the scope of the invention.
In preferred embodiment as shown in Figure 1, the present invention provides a kind of, and the abnormal use based on intelligent algorithm can divide
Analysis method comprising following steps:
Step 1: according to intelligent algorithm, extracting feature of the exception in energy data, and form abnormal energy feature database；
In a preferred embodiment, step 1 the following steps are included:
Step 1.1: according to intelligent algorithm, extracting the abnormal feature in energy data, establish corresponding model；
Step 1.2: for off-note model recovery test sample data；
Step 1.3: accumulation forms abnormal energy feature database.
Step 2: according to history normality data, analyzing the standard feature of data and curves variation, establish simultaneously optimisation criteria feature
Library；
Step 3: according to standard feature library rule, periodically identifying nonstandard directrix curve in the historical data, and by non-standard song
Line is determined as exception, and interception abnormal curve is as abnormal with energy data；
Step 4: using energy data according to abnormal, recognize abnormal cause, and integrate abnormal energy event information；
Step 5: to abnormal for statistical analysis with energy event.
In a preferred embodiment, the step 5 is specifically includes the following steps: the abnormal displaying of energy situation, abnormal energy
Source client's ranking, abnormal use can trade classification ranking, abnormal similarity analysis and abnormal energy feature database self-teaching trend point
Analysis.
As shown in Fig. 2, the present invention also provides a kind of abnormal energy analysis system based on intelligent algorithm, packet
It includes:
Analysis For The Anomalies module 10, for extracting the abnormal feature in energy data, and shape according to intelligent algorithm
At abnormal with energy feature database；
Standard feature analysis module 20, for analyzing the standard feature of data and curves variation, building according to history normality data
Vertical and optimisation criteria feature database；
Anomalous identification module 30, for periodically identifying nonstandard directrix curve in the historical data according to standard feature library rule,
And nonstandard directrix curve is determined as exception, interception abnormal curve is as abnormal with energy data；
Analysis of causes module 40 recognizes abnormal cause, and integrate abnormal energy event and believe for using energy data according to abnormal
Breath；
Anomaly statistics module 50, for abnormal for statistical analysis with energy event.
Further, as shown in figure 3, the Analysis For The Anomalies module 10 includes:
Characteristic model module 11, for extracting the abnormal feature in energy data, establishing corresponding according to intelligent algorithm
Model；
Repair data module 12, for being off-note model recovery test sample data；
Off-note library module 13, can feature database for accumulating abnormal use of formation.
Specifically, as shown in figure 4, the anomaly statistics module 50 includes: abnormal energy situation display module 51, abnormal energy
Source client's ranking module 52, exception energy trade classification ranking module 53, abnormal similarity analysis module 54 and abnormal use can spies
Levy library self-teaching trend analysis module 55.
In conclusion the present invention uses energy characteristic according to enterprise extremely, using technologies such as machine learning, excavate abnormal with energy spy
Sign distinguishes industry particularity, gradually forms the abnormal of complete set and uses energy rule base, services government and other energy enterprises, right
It is abnormal to carry out accurate recognition and analysis with energy situation, prevent before doing good and the subsequent key analytical handled in time.
It is discussed in detail although the contents of the present invention have passed through above preferred embodiment, but it should be appreciated that above-mentioned
Description is not considered as limitation of the present invention.After those skilled in the art have read above content, for of the invention
A variety of modifications and substitutions all will be apparent.Therefore, protection scope of the present invention should be limited to the appended claims.
Claims (8)
1. a kind of abnormal energy analysis method based on intelligent algorithm, which comprises the following steps:
Step 1: according to intelligent algorithm, extracting feature of the exception in energy data, and form abnormal energy feature database；
Step 2: according to history normality data, analyzing the standard feature of data and curves variation, establish simultaneously optimisation criteria feature database；
Step 3: according to standard feature library rule, periodically identifying nonstandard directrix curve in the historical data, and nonstandard directrix curve is sentenced
It is set to exception, interception abnormal curve is as abnormal with energy data；
Step 4: using energy data according to abnormal, recognize abnormal cause, and integrate abnormal energy event information.
2. the abnormal energy analysis method based on intelligent algorithm as described in claim 1, which is characterized in that step 1 packet
Include following steps:
Step 1.1: according to intelligent algorithm, extracting the abnormal feature in energy data, establish corresponding model；
Step 1.2: for off-note model recovery test sample data；
Step 1.3: accumulation forms abnormal energy feature database.
3. the abnormal energy analysis method based on intelligent algorithm as described in claim 1, which is characterized in that further include step
Rapid 5: to abnormal for statistical analysis with energy event.
4. the abnormal energy analysis method based on intelligent algorithm as claimed in claim 4, which is characterized in that the step
5 specifically includes the following steps: the abnormal displaying of energy situation, abnormal energy client ranking, abnormal energy trade classification ranking, exception
Similarity analysis and abnormal energy feature database self-teaching trend analysis.
5. a kind of abnormal energy analysis system based on intelligent algorithm characterized by comprising
Analysis For The Anomalies module for extracting the abnormal feature in energy data according to intelligent algorithm, and forms exception
With energy feature database；
Standard feature analysis module is established and excellent for analyzing the standard feature of data and curves variation according to history normality data
Change standard feature library；
Anomalous identification module, for periodically identifying nonstandard directrix curve in the historical data, and will be non-according to standard feature library rule
Standard curve is determined as exception, and interception abnormal curve is as abnormal with energy data；
Analysis of causes module recognizes abnormal cause, and integrate abnormal energy event information for using energy data according to abnormal.
6. the abnormal energy analysis system based on intelligent algorithm as claimed in claim 6, which is characterized in that the exception
Characteristics analysis module includes:
Characteristic model module, for extracting the abnormal feature in energy data, establishing corresponding model according to intelligent algorithm；
Repair data module, for being off-note model recovery test sample data；
Off-note library module, can feature database for accumulating abnormal use of formation.
7. the abnormal energy analysis system based on intelligent algorithm as claimed in claim 6, which is characterized in that the system is also
Including anomaly statistics module, for abnormal for statistical analysis with energy event.
8. the abnormal energy analysis system based on intelligent algorithm as claimed in claim 7, which is characterized in that the exception
Statistical module includes: abnormal use can situation display module, abnormal energy client ranking module, abnormal energy trade classification ranking mould
Block, abnormal similarity analysis module and abnormal energy feature database self-teaching trend analysis module.
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| CN112634089A (en) * | 2020-12-30 | 2021-04-09 | 珠海大横琴科技发展有限公司 | Energy consumption processing method and device for property facility |
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