CN112966392A - Intelligent analysis model for energy big data - Google Patents
Intelligent analysis model for energy big data Download PDFInfo
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- CN112966392A CN112966392A CN202110325797.2A CN202110325797A CN112966392A CN 112966392 A CN112966392 A CN 112966392A CN 202110325797 A CN202110325797 A CN 202110325797A CN 112966392 A CN112966392 A CN 112966392A
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Abstract
The invention discloses an intelligent analysis model of energy big data, belonging to the technical field of data analysis, and the intelligent analysis model of the energy big data comprises the following steps: establishing an energy information data set; setting a plurality of subsets in an energy information data set, placing different energy information in the subsets in a classified manner, and establishing information subsets of different energy categories; adding an evaluation correction parameter; the information subsets after the evaluation and correction parameters are subjected to internal information sequencing; sequencing the optimal energy sources to the top of the interior of the information subset; establishing a parameter input mechanism, sequentially extracting the internal energy information of the information subset according to the sequence of parameter input, and completely establishing a model; according to the energy source recommendation system, the energy types, the energy generated after the energy source is combusted and the pollutants generated are recorded, the evaluation correction parameters are set, the corresponding energy source recommendation can be obtained only by inputting the required energy source use parameters, the time effect is fast, and the energy source analysis query is accurate.
Description
Technical Field
The invention belongs to the technical field of data analysis, and particularly relates to an intelligent analysis model for energy big data.
Background
Traditional intelligent data analysis mines the most common and fundamental data processing behaviors in BI projects. During the construction of the data warehouse, data of various service systems can enter the data warehouse only through a strict ETL process, and further support is provided for subsequent data presentation and analysis. Generally, because the data apertures of the business systems of the enterprises are not consistent, the BI project must implement ETL work, otherwise, it is useless and meaningless to conduct various data behaviors on ambiguous and inaccurate data.
In the multi-media and cross-media digital age, the traditional data media cannot meet the requirements of report writers on remote collaborative writing, personalized customization of requirements, intelligent identification, automation of editing and the like in the process of content organization and service. Therefore, breaking the constraint of the traditional flow and concept, establishing a content object-based, collaborative, "one-time production, multi-element publishing" dynamic report generation mechanism becomes a key technology.
Energy source means a resource capable of providing energy. The energy herein generally refers to thermal energy, electrical energy, optical energy, mechanical energy, chemical energy, and the like.
Energy sources can be divided into three main categories according to sources: (1) energy from the sun. The energy source comprises energy directly from the sun (such as sunlight thermal radiation energy) and energy indirectly from the sun (such as combustible minerals such as coal, oil, natural gas, oil shale and the like, biomass energy such as firewood and the like, water energy, wind energy and the like). (2) Energy from the earth itself. One is geothermal energy stored in the earth, such as underground hot water, underground steam, and dry hot rock mass; the other is nuclear energy stored in nuclear fuel such as uranium, thorium and the like in the crust. (3) The gravity of celestial bodies such as the moon and the sun on the earth generates energy such as tidal energy.
The existing energy sources are various, energy source query needs to be carried out in multiple aspects when the energy sources are queried, comprehensive analysis of the energy sources can be carried out, and the timeliness is slow.
Disclosure of Invention
The invention aims to provide an intelligent analysis model for energy big data.
In order to achieve the purpose, the invention provides the following technical scheme: an intelligent analysis model of energy big data, comprising the following steps:
s1, establishing an energy information data set;
s2, setting a plurality of subsets in the energy information data set, placing different energy information in the subsets in a classified manner, and establishing information subsets of different energy categories;
s3, adding an evaluation correction parameter;
s4, sorting the internal information of the information subsets after the evaluation and correction of the parameters;
s5, sequencing the optimal energy sources to the top of the interior of the information subset;
and S6, establishing a parameter input mechanism, sequentially extracting the internal energy information of the information subset according to the sequence of parameter input, and completely establishing the model.
Preferably, the information data set in step S1 includes energy type and classification of products of energy combustion, the energy sources of the same type are placed in the same information data subset, and the products of energy combustion are placed in different information data subsets according to pollutant and non-pollutant, respectively.
Preferably, the step S3 of evaluating the correction parameter includes prioritizing the energy combustion products to be non-pollutant energy, and recording according to the amount of pollutant products after the energy combustion.
Preferably, the internal information ranking in step S4 ranks the pollutant yields from low to high.
Preferably, in step S5, a parameter input mechanism is established, where the parameter input includes input energy type and pollutant amount generated after the energy is combusted, and the corresponding energy performs energy extraction through the information subset.
The invention has the beneficial effects that: this intelligent analysis model of energy big data, the pollutant that produces after from energy kind and energy burning carries out the record with the production, sets up the aassessment correction parameter, and energy burning energy and pollutant production volume are makeed statistics in real time, for energy inquiry analysis provides important theoretical basis, only needs the energy service parameter of input needs simultaneously can obtain corresponding energy and recommend, and the ageing is fast, and energy analysis inquiry is accurate.
Drawings
Fig. 1 is a schematic diagram of an intelligent analysis model of energy big data provided by the invention.
Detailed Description
In order to further understand the contents, features and effects of the present invention, the following embodiments are illustrated and described in detail with reference to the accompanying drawings.
Referring to fig. 1, an intelligent analysis model for energy source big data according to an embodiment of the present invention will be described in detail below with reference to the accompanying drawings.
The intelligent analysis model of the energy big data comprises the following steps:
s1, establishing an energy information data set;
s2, setting a plurality of subsets in the energy information data set, placing different energy information in the subsets in a classified manner, and establishing information subsets of different energy categories;
s3, adding an evaluation correction parameter;
s4, sorting the internal information of the information subsets after the evaluation and correction of the parameters;
s5, sequencing the optimal energy sources to the top of the interior of the information subset;
and S6, establishing a parameter input mechanism, sequentially extracting the internal energy information of the information subset according to the sequence of parameter input, and completely establishing the model.
Specifically, the information data set in step S1 includes energy types and classification of products of energy combustion, the energy sources of the same type are placed in the same information data subset, and the energy combustion products are respectively placed in different information data subsets according to pollutants and non-pollutants.
In the embodiment, the energy generated by various energy sources and the pollutants generated by the various energy sources are collected and recorded, and the subsequent input parameters are analyzed and inquired, so that the energy sources can be quickly responded to recommend the energy sources.
Specifically, the evaluation of the correction parameters in step S3 includes prioritizing the energy combustion products to be non-pollutant energy, and recording the amount of pollutant products after the energy combustion.
Specifically, the internal information ranking in step S4 ranks the pollutant yields from low to high.
Specifically, a parameter input mechanism is established, wherein the parameter input comprises input energy types and pollutant amount generated after energy combustion, and corresponding energy is extracted through the information subset.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (5)
1. An intelligent analysis model of energy big data is characterized by comprising the following steps:
s1, establishing an energy information data set;
s2, setting a plurality of subsets in the energy information data set, placing different energy information in the subsets in a classified manner, and establishing information subsets of different energy categories;
s3, adding an evaluation correction parameter;
s4, sorting the internal information of the information subsets after the evaluation and correction of the parameters;
s5, sequencing the optimal energy sources to the top of the interior of the information subset;
and S6, establishing a parameter input mechanism, sequentially extracting the internal energy information of the information subset according to the sequence of parameter input, and completely establishing the model.
2. The model for intelligent analysis of energy big data according to claim 1, wherein the information data set in step S1 includes energy type and classification of products after energy combustion, the same type of energy is placed in the same information data subset, and the products of energy combustion are placed in different information data subsets according to pollutant and non-pollutant respectively.
3. The model for intelligent analysis of energy big data as claimed in claim 1, wherein the estimation of the modified parameters in step S3 includes prioritizing the energy combustion products to be non-pollutant energy and recording according to the amount of pollutant products after the energy combustion.
4. The intelligent analysis model for energy big data according to claim 1, wherein the internal information ranking in step S4 ranks the pollutant yield from low to high.
5. The model of claim 1, wherein in step S5, a parameter input mechanism is established, wherein the parameter input mechanism includes input energy type and pollutant amount generated by energy combustion, and the corresponding energy source performs energy extraction through the information subset.
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| US6988092B1 (en) * | 2000-12-28 | 2006-01-17 | Abb Research Ltd. | Method for evaluation of energy utilities |
| US20160247084A1 (en) * | 2011-08-17 | 2016-08-25 | Roundhouse One Llc | Systems and methods for analyzing energy or environmental factors relative to energy |
| CN107578173A (en) * | 2017-09-08 | 2018-01-12 | 新奥泛能网络科技股份有限公司 | A kind of energy supplying system of multiple-energy-source input and output |
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| CN112163724A (en) * | 2020-08-05 | 2021-01-01 | 宁夏无线互通信息技术有限公司 | Environment information data resource integration system |
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|---|---|---|---|---|
| US6988092B1 (en) * | 2000-12-28 | 2006-01-17 | Abb Research Ltd. | Method for evaluation of energy utilities |
| US20160247084A1 (en) * | 2011-08-17 | 2016-08-25 | Roundhouse One Llc | Systems and methods for analyzing energy or environmental factors relative to energy |
| CN107578173A (en) * | 2017-09-08 | 2018-01-12 | 新奥泛能网络科技股份有限公司 | A kind of energy supplying system of multiple-energy-source input and output |
| CN111861783A (en) * | 2020-04-26 | 2020-10-30 | 国网江苏省电力有限公司经济技术研究院 | Comprehensive energy system multi-objective optimization configuration method considering load transfer |
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