CN116882776A - Method and device for setting energy-saving strategy in steel production, electronic equipment and storage medium - Google Patents
Method and device for setting energy-saving strategy in steel production, electronic equipment and storage medium Download PDFInfo
- Publication number
- CN116882776A CN116882776A CN202310695504.9A CN202310695504A CN116882776A CN 116882776 A CN116882776 A CN 116882776A CN 202310695504 A CN202310695504 A CN 202310695504A CN 116882776 A CN116882776 A CN 116882776A
- Authority
- CN
- China
- Prior art keywords
- energy
- saving
- saving strategy
- strategy
- energy saving
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 229910000831 Steel Inorganic materials 0.000 title claims abstract description 153
- 239000010959 steel Substances 0.000 title claims abstract description 153
- 238000004519 manufacturing process Methods 0.000 title claims abstract description 150
- 238000000034 method Methods 0.000 title claims abstract description 99
- 238000003860 storage Methods 0.000 title claims abstract description 15
- 238000005516 engineering process Methods 0.000 claims abstract description 103
- 238000012216 screening Methods 0.000 claims abstract description 11
- 238000005265 energy consumption Methods 0.000 claims description 85
- 230000008569 process Effects 0.000 claims description 20
- 230000009467 reduction Effects 0.000 claims description 18
- 230000008901 benefit Effects 0.000 claims description 11
- 238000004590 computer program Methods 0.000 claims description 11
- 238000004364 calculation method Methods 0.000 claims description 9
- 238000005457 optimization Methods 0.000 abstract description 3
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 20
- 229910052742 iron Inorganic materials 0.000 description 10
- 229910052799 carbon Inorganic materials 0.000 description 5
- 238000004891 communication Methods 0.000 description 5
- 238000011156 evaluation Methods 0.000 description 5
- 230000009466 transformation Effects 0.000 description 5
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 4
- 238000011161 development Methods 0.000 description 4
- 239000003245 coal Substances 0.000 description 3
- 238000004939 coking Methods 0.000 description 3
- 230000006872 improvement Effects 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 238000004422 calculation algorithm Methods 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 230000001174 ascending effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000004134 energy conservation Methods 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
- 230000000630 rising effect Effects 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/04—Manufacturing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- Entrepreneurship & Innovation (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Educational Administration (AREA)
- Health & Medical Sciences (AREA)
- Development Economics (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Game Theory and Decision Science (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Manufacturing & Machinery (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Factory Administration (AREA)
Abstract
The invention belongs to the technical field of energy-saving optimization of steel production, and discloses a method, a device, electronic equipment and a storage medium for setting an energy-saving strategy of steel production, wherein the method comprises the following steps: acquiring the existing production data, energy-saving expected data and basic data of various energy-saving technologies related to steel production in steel production; acquiring a plurality of performance indexes after each combined energy-saving strategy is adopted in steel production; screening a preselected energy-saving strategy conforming to energy-saving expected data; acquiring the ranking of the preselected energy-saving strategy under each performance index and ranking score; obtaining a total score of the preselected energy-saving strategy according to ranking scores of the preselected energy-saving strategy under a plurality of performance indexes; and selecting a preselected energy saving strategy with the highest total score as a final energy saving strategy to be set. The invention provides a means for recommending different energy-saving technology combinations for steel production, which can automatically, scientifically and accurately obtain energy-saving scheme combination recommendation suitable for requirements, and provides convenience for enterprise decision making.
Description
Technical Field
The invention belongs to the technical field of energy-saving optimization of steel production, and particularly relates to a method and a device for setting an energy-saving strategy of steel production, electronic equipment and a storage medium.
Background
The steel industry is an important basic industry for economic development, provides important raw material guarantee for national construction for a long time, supports the development of related industries, and promotes industrialization progress and modernization progress. However, steel is also a large consumer of carbon emission and energy consumption, and data shows that carbon emission in the steel production process in 2019 accounts for more than 15% of related emission, energy consumption in the steel production process accounts for 11% of total national energy consumption, and the steel production process is the first place in all industrial industries. Therefore, how to control the energy consumption in the production flow of the steel industry is one of the key problems of the current steel development.
The iron and steel industry has a large proportion of total energy consumption, mainly for two reasons: on the one hand, the total amount of the steel industry is rising year by year, and the energy consumption of the steel industry is high. On the other hand, energy consumption is excessive because energy saving and emission reduction technologies are not popularized in the steel industry. The existing steel industry still has the problems of huge total energy and carbon emission, unreasonable production process structure, low green energy duty ratio in the energy structure, unbalanced energy-saving low-carbon development level, difficult innovation of energy-saving carbon reduction technology and the like, and the energy consumption per ton of steel still has a large optimization space.
At present, there are many models for analyzing, evaluating and predicting the energy consumption at home and abroad, and research for optimizing different targets is gradually perfected by utilizing different models, but the following problems still exist in general: at present, the iron and steel enterprises cannot rapidly evaluate and automatically recommend the energy-saving technology according to the self requirements, so that the enterprises have decision difficulty in selecting the energy-saving technology, the decision efficiency of the enterprises is reduced, and the popularization of the novel energy-saving technology is limited.
Disclosure of Invention
Aiming at the defects or improvement demands of the prior art, the invention provides a method, a device, electronic equipment and a storage medium for setting an energy-saving strategy in steel production, which solve the problems that the energy-saving technology cannot be rapidly evaluated and automatically recommended aiming at the demands of the iron and steel enterprises at present, so that the enterprises have decision difficulty in selecting the energy-saving technology, the decision efficiency of the enterprises is reduced, the popularization of novel energy-saving technology is limited, and the combined recommendation of the energy-saving scheme suitable for the demands can be automatically, scientifically and accurately obtained.
To achieve the above object, according to a first aspect of the present invention, there is provided a steel production energy saving strategy setting method comprising:
s1, acquiring the existing production data, energy-saving expected data and basic data of various energy-saving technologies related to steel production in steel production;
s2, acquiring a plurality of performance indexes of steel production after each combined energy-saving strategy is adopted according to the existing production data and the basic data of the energy-saving technology, wherein the combined energy-saving strategy is a combination of at least one energy-saving technology;
s3, screening the combined energy-saving strategy which accords with the energy-saving expected data as a preselected energy-saving strategy;
s4, obtaining the ranking and ranking score of the preselected energy-saving strategy under each performance index;
s5, acquiring a total score of the preselected energy saving strategy according to the ranking scores of the preselected energy saving strategy under a plurality of performance indexes;
s6, selecting the preselected energy saving strategy with the highest total score as a final energy saving strategy to be set.
According to the method for setting the energy-saving strategy for steel production provided by the invention, the existing production data in S1 comprises the following steps: annual output value, and in the preset production period, energy consumption data of each process of steel production and total product production value of each process;
the energy saving expectation data includes: expected energy consumption data and expected investment data;
the basic data of the energy saving technology comprises: the energy consumption of the energy-saving technology reduces data and investment cost;
the plurality of performance indexes in S2 include: ton steel energy consumption, total amount of investment, reporting period and total technical amount.
According to the energy-saving strategy setting method for steel production provided by the invention, the energy consumption per ton of steel is specifically as follows:
wherein a is i In order to adopt the ton steel energy consumption after the i-th combined energy-saving strategy, the unit is kgce/t Steel and method for producing same The method comprises the steps of carrying out a first treatment on the surface of the k is the kth procedure; m is the total number of procedures; e (E) before，k The unit product energy consumption of the process k is kgce/t Product(s) The method comprises the steps of carrying out a first treatment on the surface of the j is the j-th energy saving technology in the i-th combined energy saving strategy; n is n i N energy saving technologies are contained in the i-th combined energy saving strategy;energy consumption reduction data for the j-th energy saving technology in kgce/t Product(s) ；p k The steel ratio coefficient of the kth procedure is given in t Product(s) /t Steel and method for producing same 。
According to the method for setting the energy-saving strategy for steel production provided by the invention, the return period is specifically as follows:
wherein c i The unit is month for the return period of the ith combined energy-saving strategy; j is the j-th energy saving technology in the i-th combined energy saving strategy; n is n i N energy saving technologies are contained in the i-th combined energy saving strategy; p is annual output value, unit is t Steel and method for producing same Year/year;the unit is the unit of the economic benefit of the j energy saving technology in the combined energy saving strategy in the i Steel and method for producing same ；I j The unit is the investment cost of the j-th energy saving technology.
According to the method for setting the energy-saving strategy for steel production provided by the invention, S4, the ranking and ranking score of the preselected energy-saving strategy under each performance index are obtained, and the method specifically comprises the following steps:
ranking the pre-selected energy saving strategies according to a preset sequence under each performance index, and performing linear assignment scoring in a preset score range to obtain ranking scores of each pre-selected energy saving strategy under any performance index.
According to the method for setting the energy-saving strategy for steel production provided by the invention, S4, the ranking and ranking score of the preselected energy-saving strategy under each performance index are obtained, and the method further comprises the following steps:
if the ranks of the pre-selected energy saving strategies under a certain performance index are the same, the ranks under other performance indexes are adopted to replace the ranks under the certain performance index according to the priority order, and the priority order of the performance indexes is as follows from big to small: energy consumption per ton of steel, total amount of investment, reporting period and total technical amount.
According to the method for setting the energy-saving strategy for steel production provided by the invention, S5, according to the ranking scores of the preselected energy-saving strategy under a plurality of performance indexes, the total score of the preselected energy-saving strategy is obtained, and the method specifically comprises the following steps:
and obtaining the total score of the pre-selected energy saving strategy by weighting and summing according to the ranking scores of the pre-selected energy saving strategy under a plurality of performance indexes and the weights of the performance indexes.
According to a second aspect of the present invention, there is provided an energy saving strategy setting device for steel production, comprising:
the data acquisition module is used for acquiring the existing production data, energy-saving expected data and basic data of various energy-saving technologies related to steel production in the steel production;
the index calculation module is used for acquiring a plurality of performance indexes of the steel production after each combined energy-saving strategy is adopted according to the existing production data and the basic data of the energy-saving technology, wherein the combined energy-saving strategy is a combination of at least one energy-saving technology;
the screening module is used for screening the combined energy saving strategy which accords with the energy saving expected data as a preselected energy saving strategy;
the ranking scoring module is used for acquiring the ranking of the preselected energy saving strategy under each performance index and ranking scores;
the total score calculation module is used for obtaining the total score of the preselected energy saving strategy according to the ranking scores of the preselected energy saving strategy under a plurality of performance indexes;
and the setting module is used for selecting the preselected energy saving strategy with the highest total score as a final energy saving strategy to be set.
According to a third aspect of the present invention, there is provided an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of any one of the above-mentioned steel production energy saving strategy setting methods when executing the program.
According to a fourth aspect of the present invention, there is provided a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the steel production energy saving strategy setting method of any one of the above.
In general, compared with the prior art, the technical scheme adopted by the invention is that the invention provides a method, a device, electronic equipment and a storage medium for setting the energy-saving strategy for steel production:
1. the method has the advantages that the means for recommending different energy-saving technology combinations for steel production is provided, the energy-saving scheme combination recommendation suitable for requirements can be automatically, scientifically and accurately obtained by inputting the existing production data, the energy-saving expected data and the basic data of the energy-saving technology, the accuracy of optimal judgment of enterprises in decision making is improved, decision errors are reduced, decision results are more in line with the expected, decision time of the enterprises is greatly reduced, convenience is brought to enterprise decision making, and popularization of novel energy-saving technology is promoted;
2. a plurality of evaluation dimension systems aiming at the influence of different combined energy-saving strategies on steel production are established, the advantages and disadvantages of the different combined energy-saving strategies can be comprehensively analyzed, and the influence of the different combined energy-saving strategies on steel production is effectively evaluated.
Drawings
FIG. 1 is a schematic flow chart of a method for setting an energy-saving strategy for steel production;
FIG. 2 is a simplified overall flow chart of the method for setting the energy-saving strategy for steel production;
fig. 3 is a schematic diagram of an electronic device provided by the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention. In addition, the technical features of the embodiments of the present invention described below may be combined with each other as long as they do not collide with each other.
Referring to fig. 1, the present invention provides a method for setting an energy saving strategy for steel production, which includes:
s1, acquiring the existing production data, energy-saving expected data and basic data of various energy-saving technologies related to steel production in steel production;
s2, acquiring a plurality of performance indexes of steel production after each combined energy-saving strategy is adopted according to the existing production data and the basic data of the energy-saving technology, wherein the combined energy-saving strategy is a combination of at least one energy-saving technology;
s3, screening the combined energy-saving strategy which accords with the energy-saving expected data as a preselected energy-saving strategy;
s4, obtaining the ranking and ranking score of the preselected energy-saving strategy under each performance index;
s5, acquiring a total score of the preselected energy saving strategy according to the ranking scores of the preselected energy saving strategy under a plurality of performance indexes;
s6, selecting the preselected energy saving strategy with the highest total score as a final energy saving strategy to be set.
In this embodiment S1, various data may be obtained by manually inputting the data after investigation, or may be automatically obtained by connecting monitoring equipment in various steps of steel production, and the specific obtaining mode is not limited. The existing production data in the steel production, namely the existing actual production data such as energy consumption, output value and the like in actual production. The energy saving expected data is some expected data which is wanted to be acquired, namely target data. The energy-saving technology is a technical means related to steel production and capable of realizing energy saving, and basic data of the energy-saving technology, namely data of energy consumption, investment and the like related to the energy-saving technology, can be obtained by referring to experience of other people or according to the existing research results.
Then, considering that the energy-saving strategy can adopt one or more energy-saving technologies, a plurality of energy-saving technologies can be arranged and combined to obtain a combined energy-saving strategy list, namely a plurality of combined energy-saving strategies. And calculating a plurality of performance indexes of each combined energy-saving strategy according to the acquired various data. Some indexes commonly used for energy consumption industry in energy saving technology transformation can be adopted as performance indexes of the energy saving technology transformation. And a plurality of performance indexes can be obtained aiming at each combined energy-saving strategy so as to evaluate the combined energy-saving strategy from multiple aspects and improve the accuracy.
After calculating a plurality of performance indexes of each combined energy-saving strategy, the combined energy-saving strategy meeting the expected energy-saving data can be compared and screened out as a preselected energy-saving strategy according to the calculated performance indexes and the expected energy-saving data. And then ranking the pre-selected energy-saving strategies under the performance indexes respectively, and scoring the ranking to obtain ranking scores of the pre-selected energy-saving strategies under the performance indexes respectively. And then, according to the ranking scores of any pre-selected energy-saving strategy under a plurality of performance indexes, calculating the ranking scores of the plurality of performance indexes to obtain the total score of the pre-selected energy-saving strategy. And then selecting a preselected energy-saving strategy with the highest total score as a final energy-saving strategy, and setting the energy-saving strategy for steel production according to the final energy-saving strategy.
The method for setting the energy-saving strategy in steel production provides a means for recommending different energy-saving technology combinations for steel production, and can automatically, scientifically and accurately obtain the energy-saving scheme combination recommendation suitable for requirements by inputting the existing production data, the energy-saving expected data and the basic data of the energy-saving technology, thereby being beneficial to improving the accuracy of optimal judgment of enterprises in decision making, reducing decision errors, enabling decision results to be more in line with expectations, being beneficial to greatly reducing the decision time of the enterprises, providing convenience for the decision of the enterprises and promoting the popularization of novel energy-saving technology.
Further, the combination of multiple energy saving techniques is beneficial to realizing production energy saving more comprehensively and deeply, but too many energy saving techniques have the problems of high investment cost and inconvenient implementation, so that the reasonable number of energy saving techniques in the combined energy saving strategy is also very important for the practicability of the scheme. Optionally, the number of energy saving techniques in the combined energy saving strategy is less than or equal to 5.
Further, the existing production data in S1 includes: annual output value, and in the preset production period, energy consumption data of each process of steel production and total product production value of each process; annual yield value, i.e. annual steel yield. The preset production period can be the production period of the latest quarter, half year or one year of steel production, and the specific production period is not limited; in the preset production period, the energy consumption data of each working procedure of steel production can be the total quantity of energy consumption working medium folded standard coal of each working procedure, namely the total energy consumption value of each working procedure; the total product production value of each process can be the total product production amount of each process in a preset production period. The existing production data may also include the steel ratio coefficients of the individual processes.
The energy saving expectation data includes: expected energy consumption data and expected investment data.
The basic data of the energy saving technology comprises: investment cost of the energy saving technology and energy consumption reduction data of the energy saving technology in various working procedures of steel production. Specifically, the basic data of the energy saving technology include: the energy saving technology has technical improvement cost, and coal consumption reduction, water consumption reduction, electricity consumption reduction and other energy consumption reduction which can be brought by the energy saving technology in each working procedure. The energy consumption reduction data can be obtained by adding the reduction amount of each energy consumption and the marked coal, and the energy consumption reduction data can be the unit product energy consumption reduction amount; wherein the other energy consumption reduction amount can be the energy consumption reduction amount of a gas medium, an energy consumption medium, a blower and the like. The technical transformation cost is investment cost. And the energy consumption reduction benefit, namely the economic benefit of the energy saving technology, can be obtained according to the reduction amount of each energy consumption of the energy saving technology and the unit price of each energy consumption.
The plurality of performance indexes in S2 include: ton steel energy consumption, total amount of investment, reporting period and total technical amount. The embodiment establishes a plurality of evaluation dimension systems aiming at the influence of different combined energy-saving strategies on steel production, can comprehensively analyze the advantages and disadvantages of the different combined energy-saving strategies, and effectively evaluates the influence of the different combined energy-saving strategies on steel production.
Further, the ton steel energy consumption is specifically:
wherein a is i In order to adopt the ton steel energy consumption after the i-th combined energy-saving strategy, the unit is kgce/t Steel and method for producing same The method comprises the steps of carrying out a first treatment on the surface of the k is the kth procedure; m is the total number of procedures; e (E) before,k For workersThe unit product energy consumption of the sequence k is obtained according to the energy consumption data of the sequence k and the total product production value of the sequence k in the existing production data, wherein the unit is kgce/t Product(s) The method comprises the steps of carrying out a first treatment on the surface of the j is the j-th energy saving technology in the i-th combined energy saving strategy; n is n i N energy saving technologies are contained in the i-th combined energy saving strategy;energy consumption reduction data for the j-th energy saving technology in kgce/t Product(s) ；p k The steel ratio coefficient of the kth procedure is given in t Product(s) /t Steel and method for producing same 。
The steel ratio coefficient of the kth process, i.e., the 1t product produced in this process, corresponds to the final steel yield. The steel ratio coefficient is calculated according to the production energy consumption reference logistics map, and for the deviation from the energy consumption reference logistics map in the actual production process, the actual production logistics map is converted into the energy consumption reference logistics map, and then the steel ratio coefficient is recalculated. The steel ratio coefficient is the steel ratio coefficient of each process obtained according to actual production calculation in the past certain period of steel production.
Further, the reporting period is specifically:
wherein c i The unit is month for the return period of the ith combined energy-saving strategy; j is the j-th energy saving technology in the i-th combined energy saving strategy; n is n i N energy saving technologies are contained in the i-th combined energy saving strategy; p is annual output value, unit is t Steel and method for producing same Year/year;the unit is the unit of the economic benefit of the j energy saving technology in the combined energy saving strategy in the i Steel and method for producing same ；I j The unit is the investment cost of the j-th energy saving technology.
Further, the total amount of money put into the device is specifically:
wherein b i The unit is the sum of the investment of the ith combined energy-saving strategy; j is the j-th energy saving technology in the i-th combined energy saving strategy; n is n i N energy saving technologies are contained in the i-th combined energy saving strategy; i j The unit is the investment cost of the j-th energy saving technology. I.e. the total amount invested in the combined energy saving strategy is the sum of the investment costs of at least one energy saving technology forming the combined energy saving strategy.
Further, the total number of techniques d in the ith combined energy saving strategy i The method comprises the following steps:
d i ＝n i ；
wherein n is i The i-th combined energy saving strategy comprises n energy saving technologies. The total number of techniques is the number of energy saving techniques in the combined energy saving strategy.
Further, S4, obtaining a ranking and a ranking score of the pre-selected energy saving policy under each performance index, specifically including:
ranking the pre-selected energy saving strategies according to a preset sequence under each performance index, and performing linear assignment scoring in a preset score range to obtain ranking scores of each pre-selected energy saving strategy under any performance index.
For example, the pre-selected energy saving strategies can be ranked smoothly from small to large under each performance index, and then linear assignment scoring is carried out within the score range of 60-100, so that the ranking score of the pre-selected energy saving strategy with the top ranking is higher, and the trend of higher ranking score of the pre-selected energy saving strategy with better performance is met. Taking ton steel energy consumption as an example, according to a calculation structure of ton steel energy consumption, a preselected energy-saving strategy with a small ton steel energy consumption value is arranged at the front, a preselected energy-saving strategy with a large ton steel energy consumption value is arranged at the rear, the ranking score of the preselected energy-saving strategy with a minimum ton steel energy consumption value can be 100 points, the ranking score of the preselected energy-saving strategy with a maximum ton steel energy consumption value can be 60 points, and then the ranking score of the intermediate preselected energy-saving strategy changes linearly.
Further, S4, obtaining a ranking and a ranking score of the pre-selected energy saving policy under each performance index, further includes:
if the ranks of the pre-selected energy saving strategies under a certain performance index are the same, the ranks under other performance indexes are adopted to replace the ranks under the certain performance index according to the priority order, and the priority order of the performance indexes is as follows from big to small: energy consumption per ton of steel, total amount of investment, reporting period and total technical amount.
That is, when ranking the pre-selected energy saving strategies, the situation that the ranks are the same under a certain performance index may occur, for example, when the number of energy saving technologies in two pre-selected energy saving strategies is the same, the ranks that the two pre-selected energy saving strategies are the same under the ranking of the total number of technologies may occur, and at this time, the ranks of the two pre-selected energy saving strategies under other performance indexes should be adopted to replace the ranks under the total number of technologies so as to avoid the ranks being the same. The priority order of the performance indexes is that the ranks are sequentially selected to replace the same ranks according to the order of ton steel energy consumption, total investment amount, reporting period and total technical number. That is, in this example, the ranking in the energy consumption of ton steel is preferably selected to replace the ranking in the total number of technologies, and if the ranking in the energy consumption of ton steel is also the same, the ranking in the total amount of money is selected to replace the ranking in the total number of technologies, and so on.
Further, S5, according to the ranking scores of the pre-selected energy saving strategies under a plurality of performance indexes, obtaining a total score of the pre-selected energy saving strategies, which specifically includes:
and obtaining the total score of the pre-selected energy saving strategy by weighting and summing according to the ranking scores of the pre-selected energy saving strategy under a plurality of performance indexes and the weights of the performance indexes. The method for determining the weight coefficients of the multiple performance indexes can be mainly determined according to the importance of the enterprise to each index of the technical strategy, and the weight ratio of each index can be determined by a hierarchical analysis method.
Optionally, when energy consumption is taken as a main consideration, the weight range of each performance index may be: the weight of the energy consumption of ton steel is 0.5-0.6; the weight of the total amount is 0.2-0.3; the weight of the reporting period is 0.05-0.15; the weight of the total technical number is 0.05-0.1.
The steel production energy-saving strategy setting device provided by the invention is described below, and the steel production energy-saving strategy setting device described below and the steel production energy-saving strategy setting method described above can be correspondingly referred to each other.
Further, the present invention provides an energy saving strategy setting device for steel production, comprising:
the data acquisition module is used for acquiring the existing production data, energy-saving expected data and basic data of various energy-saving technologies related to steel production in the steel production;
the index calculation module is used for acquiring a plurality of performance indexes of the steel production after each combined energy-saving strategy is adopted according to the existing production data and the basic data of the energy-saving technology, wherein the combined energy-saving strategy is a combination of at least one energy-saving technology;
the screening module is used for screening the combined energy saving strategy which accords with the energy saving expected data as a preselected energy saving strategy;
the ranking scoring module is used for acquiring the ranking of the preselected energy saving strategy under each performance index and ranking scores;
the total score calculation module is used for obtaining the total score of the preselected energy saving strategy according to the ranking scores of the preselected energy saving strategy under a plurality of performance indexes;
and the setting module is used for selecting the preselected energy saving strategy with the highest total score as a final energy saving strategy to be set.
Further, an evaluation dimension system aiming at the influence of the existing different technology combination strategies on the energy consumption of the iron and steel enterprises is not established, so that an analysis result is incomplete; an evaluation method aiming at the influence of different technical combination strategies on the energy consumption of the iron and steel enterprises is not established, so that the enterprises easily make errors in the decision making process, and the decision making result is lower than the expected problem; the invention provides an automatic recommendation method for energy-saving strategies in long-process steel production, which can evaluate and technically recommend the influence of the existing energy-saving technology on the energy consumption of long-process steel enterprises and provides convenience for enterprise decision-making.
Referring to fig. 2, this embodiment includes the steps of:
s1, energy consumption data acquisition: basic data including enterprise existing production data, energy-saving expected data and energy-saving technology; the basic data of the energy-saving technology in the coking process are shown in the following table 1, wherein each energy consumption energy saving amount is the energy consumption saving amount in the coking process, and the technology transformation cost is the total cost required by the energy-saving technology transformation:
table 1 basic data of energy saving technology in coking process
The energy consumption data of the total energy consumption working medium index of each procedure in the existing production data is calculated by enterprises in a preset production period according to actual production values of primary energy sources, secondary energy sources and main energy consumption working mediums consumed in actual production and according to the energy-saving design specification GBT 50632-2019 of iron and steel enterprises; the total product production value in the existing production data refers to the total product production value of main products in the working procedure, and the total product production value of the main products in each working procedure is counted according to the energy-saving design Specification GBT 50632-2019 of iron and steel enterprises; the energy-saving expected data are obtained by enterprises according to the actual production conditions of the enterprises; the basic data of the energy-saving technology is obtained by researching the existing literature and combining the actual application situation. The basic data of a part of energy saving technology is shown in table 1, and the energy saving technology is not limited to 9 kinds of energy saving technology shown in table 1, and is not particularly limited.
S2, arranging and combining the technologies in the energy-saving technology list to obtain a combined energy-saving strategy, and calculating ton steel energy consumption, total input amount, reporting period and total technology of enterprises after utilizing different combined energy-saving strategies;
s3, screening a combined energy-saving strategy which accords with energy-saving expected data as a preselected energy-saving strategy; and if the ton steel energy consumption after the combined energy-saving strategy is utilized is smaller than the expected energy consumption value of an enterprise, and meanwhile, the total investment amount after the combined energy-saving strategy is utilized is smaller than the expected fund investment, the combined energy-saving strategy is selected as a preselected energy-saving strategy.
S4, ranking the different pre-selected energy saving strategies in the S3 according to the calculation results of the indexes in the S2, and performing linear assignment scoring on the ranking results according to the range of 60-100; ranking utilizes a merging algorithm; ranking the different indexes according to ascending order; if the two indexes are equal to each other when ranked according to a certain index, the other index is used for comparison, and the priority of the ranking indexes is consistent with the energy consumption, the total amount of investment, the return period and the total technical number of ton steel.
S5, weighting and summing the scoring results according to different weights for each index; the weighted sum is calculated according to the following formula:
score i ＝P 1 *A i (a 1 ,a 2 ,…,a o )+P 2 *B i (b 1 ,b 2 ,…,b 0 )+P 3 *C i (c 1 ,c 2 ,…,c 0 )+P 4
*D i (d 1 ,d 2 ,…,d 0 )
in the formula, score i As the total score of the i-th combined energy saving strategy, assume that the i-th combined energy saving strategy is a preselected energy saving strategy; p (P) l : l=1, 2, 3, 4, respectively representing the weight coefficients of ton steel energy consumption, total amount input, reporting period and total technical number;o is the number of preselected energy conservation strategies; a is that i 、B i 、C i 、D i : wherein A is i 、B i 、C i 、D i ∈[60，100]The ranking score mapping relation of each index of the i-th combined energy saving strategy is obtained according to the ranking of the preselected energy saving strategy.
And S6, selecting according to the scoring result, and selecting the scheme with the highest score as the recommended scheme.
Table 2 pseudo code for automatic recommendation algorithm operation process of energy saving strategy for long-flow iron and steel enterprises
Compared with the prior art, the invention has the beneficial effects that: an evaluation dimension system aiming at the influence of different technology combination strategies on the energy consumption of the iron and steel enterprises is established for the first time, and the advantages and disadvantages of different technology combinations are comprehensively analyzed. The method has the advantages that the influence of different energy-saving technology combinations on the energy consumption of the iron and steel enterprises is effectively evaluated, a means for recommending different energy-saving technology combinations for the enterprises is provided for the first time, meanwhile, the energy-saving scheme recommended combination which is most suitable for the enterprise requirements can be automatically, scientifically and accurately obtained through the energy consumption condition of each process of input for the enterprises, the accuracy of the optimal judgment of the enterprises in decision making is greatly improved, the decision making errors are reduced, and the decision making result is more in line with expectations; the decision time of enterprises is greatly reduced, convenience is provided for enterprise decision making, and popularization of novel energy-saving technology is promoted.
Further, the invention also provides an electronic device, which comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the steps of the method for setting the energy-saving strategy for steel production according to any one of the embodiments are realized when the processor executes the program.
Further, a non-transitory computer readable storage medium, having stored thereon a computer program, which when executed by a processor, implements the steps of the steel production energy saving strategy setting method according to any one of the embodiments described above.
Fig. 3 illustrates a physical schematic diagram of an electronic device, as shown in fig. 3, where the electronic device may include: a processor (processor), a communication interface (Communications Interface), a memory (memory) and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other via the communication bus. The processor may call logic instructions in the memory to perform the steel production energy saving strategy setting method.
Further, the logic instructions in the memory described above may be implemented in the form of software functional units and stored in a computer-readable storage medium when sold or used as a stand-alone product. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In another aspect, the present invention also provides a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, are capable of executing the method of setting the energy saving strategy for steel production provided by the above methods.
In yet another aspect, the present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, is implemented to perform the steel production energy saving policy setting method provided by the above methods.
The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.
It will be readily appreciated by those skilled in the art that the foregoing description is merely a preferred embodiment of the invention and is not intended to limit the invention, but any modifications, equivalents, improvements or alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (10)
1. The method for setting the energy-saving strategy for steel production is characterized by comprising the following steps of:
s1, acquiring the existing production data, energy-saving expected data and basic data of various energy-saving technologies related to steel production in steel production;
s2, acquiring a plurality of performance indexes of steel production after each combined energy-saving strategy is adopted according to the existing production data and the basic data of the energy-saving technology, wherein the combined energy-saving strategy is a combination of at least one energy-saving technology;
s3, screening the combined energy-saving strategy which accords with the energy-saving expected data as a preselected energy-saving strategy;
s4, obtaining the ranking and ranking score of the preselected energy-saving strategy under each performance index;
s5, acquiring a total score of the preselected energy saving strategy according to the ranking scores of the preselected energy saving strategy under a plurality of performance indexes;
s6, selecting the preselected energy saving strategy with the highest total score as a final energy saving strategy to be set.
2. The steel production energy saving strategy setting method according to claim 1, wherein the existing production data in S1 includes: annual output value, and in the preset production period, energy consumption data of each process of steel production and total product production value of each process;
the energy saving expectation data includes: expected energy consumption data and expected investment data;
the basic data of the energy saving technology comprises: the energy consumption of the energy-saving technology reduces data and investment cost;
the plurality of performance indexes in S2 include: ton steel energy consumption, total amount of investment, reporting period and total technical amount.
3. The method for setting an energy-saving strategy for steel production according to claim 2, wherein the ton of steel energy consumption is specifically:
wherein a is i In order to adopt the ton steel energy consumption after the i-th combined energy-saving strategy, the unit is kgce/t Steel and method for producing same The method comprises the steps of carrying out a first treatment on the surface of the k is the kth procedure; m is the total number of procedures; e (E) before,k The unit product energy consumption of the process k is kgce/t Product(s) The method comprises the steps of carrying out a first treatment on the surface of the j is the j-th energy saving technology in the i-th combined energy saving strategy; n is n i N energy saving technologies are contained in the i-th combined energy saving strategy;energy consumption reduction data for the j-th energy saving technology in kgce/t Product(s) ；p k The steel ratio coefficient of the kth procedure is given in t Product(s) /t Steel and method for producing same 。
4. The method for setting an energy-saving strategy for steel production according to claim 2, wherein the reporting period is specifically:
wherein c i The unit is month for the return period of the ith combined energy-saving strategy; j is the j-th energy saving technology in the i-th combined energy saving strategy; n is n i N energy saving technologies are contained in the i-th combined energy saving strategy; p is annual output value, unit is t Steel and method for producing same Year/year;the unit is the unit of the economic benefit of the j energy saving technology in the combined energy saving strategy in the i Steel and method for producing same ；I j The unit is the investment cost of the j-th energy saving technology.
5. The method for setting an energy-saving strategy for steel production according to claim 1, wherein S4, obtaining the rank and the rank score of the pre-selected energy-saving strategy under each performance index specifically comprises:
ranking the pre-selected energy saving strategies according to a preset sequence under each performance index, and performing linear assignment scoring in a preset score range to obtain ranking scores of each pre-selected energy saving strategy under any performance index.
6. The steel production energy saving strategy setting method according to claim 2, wherein S4, obtaining the rank and ranking score of the preselected energy saving strategy under each of the performance indexes, further comprises:
if the ranks of the pre-selected energy saving strategies under a certain performance index are the same, the ranks under other performance indexes are adopted to replace the ranks under the certain performance index according to the priority order, and the priority order of the performance indexes is as follows from big to small: energy consumption per ton of steel, total amount of investment, reporting period and total technical amount.
7. The method for setting an energy saving strategy for steel production according to claim 1, wherein S5, according to the ranking scores of the preselected energy saving strategy under a plurality of the performance indexes, obtains a total score of the preselected energy saving strategy, specifically comprises:
and obtaining the total score of the pre-selected energy saving strategy by weighting and summing according to the ranking scores of the pre-selected energy saving strategy under a plurality of performance indexes and the weights of the performance indexes.
8. An energy-saving strategy setting device for steel production, which is characterized by comprising:
the data acquisition module is used for acquiring the existing production data, energy-saving expected data and basic data of various energy-saving technologies related to steel production in the steel production;
the index calculation module is used for acquiring a plurality of performance indexes of the steel production after each combined energy-saving strategy is adopted according to the existing production data and the basic data of the energy-saving technology, wherein the combined energy-saving strategy is a combination of at least one energy-saving technology;
the screening module is used for screening the combined energy saving strategy which accords with the energy saving expected data as a preselected energy saving strategy;
the ranking scoring module is used for acquiring the ranking of the preselected energy saving strategy under each performance index and ranking scores;
the total score calculation module is used for obtaining the total score of the preselected energy saving strategy according to the ranking scores of the preselected energy saving strategy under a plurality of performance indexes;
and the setting module is used for selecting the preselected energy saving strategy with the highest total score as a final energy saving strategy to be set.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the steel production energy saving strategy setting method according to any one of claims 1 to 7 when executing the program.
10. A non-transitory computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when executed by a processor, implements the steps of the steel production energy saving strategy setting method according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310695504.9A CN116882776A (en) | 2023-06-12 | 2023-06-12 | Method and device for setting energy-saving strategy in steel production, electronic equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310695504.9A CN116882776A (en) | 2023-06-12 | 2023-06-12 | Method and device for setting energy-saving strategy in steel production, electronic equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116882776A true CN116882776A (en) | 2023-10-13 |
Family
ID=88267020
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310695504.9A Pending CN116882776A (en) | 2023-06-12 | 2023-06-12 | Method and device for setting energy-saving strategy in steel production, electronic equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116882776A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117970897A (en) * | 2024-04-02 | 2024-05-03 | 深圳华钛自动化科技有限公司 | Energy-saving control method, device and system of automation equipment and storage medium |
-
2023
- 2023-06-12 CN CN202310695504.9A patent/CN116882776A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117970897A (en) * | 2024-04-02 | 2024-05-03 | 深圳华钛自动化科技有限公司 | Energy-saving control method, device and system of automation equipment and storage medium |
| CN117970897B (en) * | 2024-04-02 | 2024-06-07 | 深圳华钛自动化科技有限公司 | Energy-saving control method, device and system of automation equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110738435A (en) | distribution network project investment decision evaluation method | |
| CN110689195A (en) | Power daily load prediction method | |
| CN116882776A (en) | Method and device for setting energy-saving strategy in steel production, electronic equipment and storage medium | |
| CN103853939A (en) | Combined forecasting method for monthly load of power system based on social economic factor influence | |
| CN113836786A (en) | Intelligent metallurgical coke prediction method combining coke oven heating system parameters | |
| CN112884590A (en) | Power grid enterprise financing decision method based on machine learning algorithm | |
| CN112016815A (en) | User side comprehensive energy efficiency evaluation method based on neural network | |
| CN112329969A (en) | Building intelligent engineering investment prediction method based on support vector machine | |
| CN110533249B (en) | Metallurgical enterprise energy consumption prediction method based on integrated long-term and short-term memory network | |
| CN113344449A (en) | Method for predicting monthly-scale industrial water demand | |
| CN113962477A (en) | Industrial electric quantity association aggregation prediction method, device, equipment and storage medium | |
| CN112330030B (en) | System and method for predicting requirements of expansion materials | |
| Ilich et al. | Modeling of employment structural transformations | |
| CN117277312A (en) | Gray correlation analysis-based power load influence factor method and equipment | |
| CN116362412A (en) | High-energy-carrying enterprise energy transformation decision method based on carbon emission prediction under multiple scenes | |
| CN112541623B (en) | Method for acquiring scientific and technological achievement conversion value of double-creation park of power internet of things | |
| CN116108963A (en) | Electric power carbon emission prediction method and equipment based on integrated learning module | |
| Yu et al. | Supplier evaluation analysis based on AHP-entropy-TOPSIS method | |
| CN113011779A (en) | Energy consumption price compensation method and device based on fuzzy comprehensive evaluation | |
| CN111160635A (en) | Regional logistics demand influence factor prediction method based on Relieff algorithm | |
| CN105335799A (en) | Off-peak power consumption plan compiling method based on mixed multi-attribute evaluation | |
| CN110766426A (en) | Electricity price making method and device | |
| CN117236532B (en) | Load data-based electricity consumption peak load prediction method and system | |
| Wang et al. | Influencing Factors Analysis of the Prefabricated Component Demand in China Based on Improved Gray Correlation Degree Model | |
| Yang et al. | Research on Financing Efficiency of Photovoltaic Industry Based on Three-stage DEA Model |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |