CN115271333A - Digital fuel management platform - Google Patents
Digital fuel management platform Download PDFInfo
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- CN115271333A CN115271333A CN202210666941.3A CN202210666941A CN115271333A CN 115271333 A CN115271333 A CN 115271333A CN 202210666941 A CN202210666941 A CN 202210666941A CN 115271333 A CN115271333 A CN 115271333A
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- 239000000446 fuel Substances 0.000 title claims abstract description 17
- 239000003245 coal Substances 0.000 claims abstract description 117
- 238000002156 mixing Methods 0.000 claims abstract description 41
- 238000013480 data collection Methods 0.000 claims abstract description 30
- 238000001514 detection method Methods 0.000 claims abstract description 18
- 238000002485 combustion reaction Methods 0.000 claims description 11
- 239000003344 environmental pollutant Substances 0.000 claims description 7
- 231100000719 pollutant Toxicity 0.000 claims description 7
- 238000004939 coking Methods 0.000 claims description 4
- 238000010298 pulverizing process Methods 0.000 claims description 3
- 230000005540 biological transmission Effects 0.000 claims description 2
- 238000010248 power generation Methods 0.000 claims description 2
- 239000000843 powder Substances 0.000 description 7
- 238000000034 method Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
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- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 231100000614 poison Toxicity 0.000 description 1
- 230000008092 positive effect Effects 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 239000002893 slag Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 150000003568 thioethers Chemical class 0.000 description 1
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Abstract
The embodiment of the application discloses digital management platform of fuel, including data collection module, coal kind sample detection module, ratio module, analysis module and output module, the data collection module collects following data: the data collection module further comprises a feedback module, and the data collection module transmits data collected by the feedback module into the proportioning module. According to the digital fuel management platform, the suggested blending amount and the suggested blending proportion of the coal types are automatically calculated according to monthly coal feeding plans, actual coal feeding amounts, monthly coal consumption amounts and inventory conditions of the coal types per month, the suggested blending amount and the suggested blending proportion of the coal types can play a guiding role in blending and matching the fuel coal, empirical knowledge is converted into management promotion, and the management promotion is converted into benefits.
Description
Technical Field
The application relates to the field of management informatization, in particular to a fuel digitization management platform.
Background
In order to reduce the waste of objective resources to the maximum extent, the thermal power plant implements coal blending to reduce the power generation cost, the main purpose of the coal blending is to mix different coal types according to a certain proportion according to relevant regulations to form blended coal so as to meet various basic requirements for safe operation of a boiler, the positive effect of the coal blending is obvious, the coal blending can improve the reutilization rate of the coal, reduce the cost of fuel, and control the emission of toxic substances, mainly sulfides.
The principal principle of blending and burning coal is to ensure the burning performance of the blended coal in the process of blending and burning coal, namely, the burning stability of the blended coal in a boiler, the burning characteristics of the coal mainly include ignition performance and burning performance, the most main indexes influencing the burning characteristics include heat productivity, volatile components and moisture, the grindability of the coal is also considered in the process of blending the coal, and when the grindability of the coal is poor, the allowance of a powder preparation system is insufficient, so that the burning of the boiler is influenced.
The coal blending and burning process is simple, but effective real-time coal-fired data cannot be obtained due to the lack of a unified coal-fired data platform, a coal blending and burning system of a power plant mainly takes manual experience as a main part, the coal blending amount is obtained by tests, and scientific prediction means is lacked for the burning characteristics of blended coal, so that the actual burning effect of a boiler is inevitably influenced, the maximization of economy cannot be realized, and therefore, the fuel digital management platform is provided.
Disclosure of Invention
In view of the above problems, the present application provides a fuel digitization management platform, which includes a data collection module, a coal sample detection module, a proportioning module, an analysis module and an output module, wherein the data collection module collects the following data: the system comprises a historical used coal blending scheme, a historical used coal blending proportion, a coal monthly coal entering plan, an actual coal entering amount, a monthly coal consumption amount, a coal stock amount and a daily coal unit price, a data collection module transmits the data of the coal stock amount to a blending module, the data collection module transmits the daily coal unit price data to an analysis module, a coal sample detection module detects coal samples and transmits the detection result to a blending module, the blending module performs blending on the stock coal types according to the boundary conditions of boiler combustion, the detection result of the coal sample detection module and the historical used coal blending proportion, all feasible blending schemes are listed, the analysis module analyzes the schemes blended by the blending module, analyzes benefits and pollution conditions generated by each scheme, sorts the schemes, and an output module outputs the analysis result of the analysis module.
Preferably, the coal sample detection module needs to detect the calorific value, the volatile component, the moisture, the ash content and the grindability of each coal.
Preferably, the boundary conditions of the boiler combustion include the maximum powder making amount of the powder making system, the air supply amount, the combustion stability, the coking condition in the boiler, the maximum discharge amount of pollutants, the coal conveying amount of the coal conveying system and the ash removal amount of the boiler.
Preferably, when the proportioning module is used for blending and burning the blended coal, the weighted average value of the Ha-type grindability coefficients HGI of all proportioning schemes is related to the model of the powder making equipment.
Preferably, the analysis module calculates and analyzes the total heat, the total volatile component, the ash content and the pollutant discharge amount of the proportioning scheme, the total price and the generating capacity of the coal in the proportioning scheme, and calculates the net income of each proportioning scheme, and the analysis module sorts the schemes according to the pollution condition and the net income of each scheme and expresses the schemes in a histogram mode.
Preferably, wireless signals are adopted among the modules for data transmission, and after a worker selects the target proportioning scheme, the output module transmits the consumption of the coal in the target scheme to the data collection module, the data collection module dynamically adjusts the stock of the coal, and the existing stock of the coal is the difference between the original stock of the coal and the coal consumed by the target proportioning scheme.
Preferably, the data collection module further comprises a feedback module, and the data collection module transmits the data collected by the feedback module into the proportioning module.
The invention has the following beneficial effects:
according to the fuel digital management platform, the suggested blending amount and the suggested blending proportion of the coal types are automatically calculated according to monthly coal feeding plans, actual coal feeding amounts, monthly coal consumption amounts and inventory conditions of all the coal types per month, the guidance effect on coal blending work can be achieved, empirical knowledge is converted into management improvement, and the management improvement is converted into benefits.
The application provides a pair of digital management platform of fuel, through feedback module's setting, make this platform adjust the ratio scheme automatically, improve the feasibility of ratio scheme, the use of this platform of being convenient for.
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In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic flow diagram of the present invention;
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1, a digital fuel management platform includes a data collection module, a coal sample detection module, a proportioning module, an analysis module and an output module, wherein the data collection module is connected with the proportioning module in a one-way manner, the proportioning module is connected with the analysis module in a one-way manner, the analysis module is connected with the output module in a one-way manner, and the output module is connected with the data collection module in a one-way manner.
The data collection module collects the following data: the method comprises the steps of obtaining a historical coal blending scheme, a historical coal blending proportion, a coal monthly coal entering plan, an actual coal entering amount, a monthly coal consumption amount, a coal inventory amount and a coal daily unit price, directly recording empirical knowledge through the historical coal blending scheme and the historical coal blending proportion record, conveniently and quickly obtaining a matching scheme by a matching module in the platform according to the historical record and the coal inventory amount, improving the working efficiency of the matching module, conveniently and quickly obtaining the cost of each matching scheme through the coal daily unit price data collection, and conveniently and accurately calculating the net income of each matching scheme by an analysis module.
The data collection module also comprises a feedback module, the feedback module collects the discharge capacity of the boiler, the coking condition in the boiler and the discharge amount of pollutants in real time, and the data collection module transmits the information collected by the feedback module to the proportioning module, so that the proportioning module can adjust the proportioning scheme conveniently.
The coal sample detection module detects coal samples and transmits detection results to the proportioning module, the coal sample detection module needs to detect heat productivity, volatile components, moisture, ash content and grindability of various coals, the quality of the coals can be determined through the arrangement of the coal sample detection module, and the proportioning module can be used for proportioning the coals conveniently.
The proportioning module is used for proportioning the stored coal types according to the boundary conditions of boiler combustion, the results detected by the coal type sample detection module and the historically used blending ratio of blended coal, and enumerating all feasible proportioning schemes, wherein the boundary conditions of the boiler combustion comprise the maximum powder making amount, the air supply amount, the combustion stability, the coking condition in the boiler, the maximum discharge amount of pollutants, the coal conveying amount of a coal conveying system and the ash and slag removal amount of the boiler, the reliability of the proportioning schemes is favorably ensured by considering the filtration and combustion boundary adjustment, and when the proportioning module adopts medium-sized pulverizing equipment during blending coal combustion, the weighted average value of the Ha-type grindability coefficient HGI of each proportioning scheme is controlled to be 45-50, so that the powder making system of the boiler can normally prepare powder.
The matching module transmits listed feasible matching schemes to the analysis module, the analysis module analyzes the matching schemes of the matching module, analyzes benefits and pollution conditions generated by each scheme and sequences the schemes, the output module outputs the analysis result of the analysis module, the analysis module calculates and analyzes the total heat, total volatile components, ash and pollutant discharge amount of the matching schemes, the total price and the generating capacity of coal in the matching schemes and calculates the net income of each matching scheme, the analysis module sequences the schemes according to the pollution conditions and the net income of each scheme and expresses the schemes in a histogram mode, the analysis module can analyze the matching schemes through the arrangement of the analysis module, the optimal target scheme can be selected from the matching schemes by workers, the results are expressed in the histogram mode, the results are more visual, and the analysis efficiency of the workers is improved.
After the staff selects the matching target scheme, the output module transmits the consumption of the coal in the target scheme to the data collection module, the data collection module dynamically adjusts the stock of the coal, the existing stock of the coal is the difference value between the original stock of the coal and the coal consumed by the matching target scheme, so that the data in the data collection module can be automatically updated, the working intensity of the staff is reduced, and the platform is convenient to use.
Finally, it should be noted that: the electrical components related to the present application are all commercially available and are all prior art, and the above embodiments are only used for illustrating the technical solution of the present application and are not limited thereto; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art will understand that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not necessarily depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
Claims (7)
1. The utility model provides a digital management platform of fuel, includes data collection module, coal type sample detection module, ratio module, analysis module and output module, its characterized in that, the data collection module collects following data: the system comprises a historical used coal blending scheme, a historical used coal blending proportion, a coal type monthly coal blending plan, an actual coal feeding amount, a monthly coal consumption amount, a coal type stock and a daily coal unit price, a data collection module transmits data of the coal type stock into a proportioning module, the data collection module transmits daily coal unit price data into an analysis module, a coal type sample detection module detects coal type samples and transmits detection results into the proportioning module, the proportioning module performs proportioning on the stock coal types according to boundary conditions of boiler combustion, results detected by the coal type sample detection module and the historical used coal blending proportion, all feasible proportioning schemes are listed, the analysis module analyzes the proportioning scheme of the proportioning module, analyzes benefits and pollution conditions generated by each scheme and sequences the schemes, and an output module outputs the analysis result of the analysis module.
2. The platform of claim 1, wherein the coal sample detection module is configured to detect calorific value, volatile component, moisture, ash content and grindability of each coal.
3. The platform of claim 1, wherein the boundary conditions for boiler combustion include maximum pulverized coal quantity of a pulverizing system, air supply quantity, combustion stability, coking condition in a furnace, maximum discharge of pollutants, coal conveying quantity of a coal conveying system, and boiler ash removal quantity.
4. The digital fuel management platform of claim 1, wherein the blending module is configured to correlate the weighted average of the Ha-type grindability coefficients (HGI) of the blending schemes with the pulverizing equipment during blending of the blended coal.
5. The digital fuel management platform according to claim 1, wherein the analysis module calculates and analyzes total heat, total volatile components, ash and pollutant emission of the proportioning project, total price and power generation of coal in the proportioning project, and calculates net income of each proportioning project, and the analysis module sorts the projects according to pollution and net income of each project and represents the projects in a histogram mode.
6. The digital fuel management platform according to claim 1, wherein wireless signals are used for data transmission among the modules, and after the staff selects the target proportioning plan, the output module transmits the consumption of the coal in the target proportioning plan to the data collection module, and the data collection module dynamically adjusts the stock of the coal, wherein the existing stock of the coal is a difference between the original stock of the coal and the consumption of the coal in the target proportioning plan.
7. The fuel digitization management platform according to claim 1, wherein the data collection module further comprises a feedback module, and the data collection module transmits data collected by the feedback module to the proportioning module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210666941.3A CN115271333A (en) | 2022-06-13 | 2022-06-13 | Digital fuel management platform |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210666941.3A CN115271333A (en) | 2022-06-13 | 2022-06-13 | Digital fuel management platform |
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| CN115271333A true CN115271333A (en) | 2022-11-01 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116651306A (en) * | 2023-08-01 | 2023-08-29 | 山西中科冶金建设有限公司 | Intelligent coking coal proportioning system |
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2022
- 2022-06-13 CN CN202210666941.3A patent/CN115271333A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116651306A (en) * | 2023-08-01 | 2023-08-29 | 山西中科冶金建设有限公司 | Intelligent coking coal proportioning system |
| CN116651306B (en) * | 2023-08-01 | 2023-10-03 | 山西中科冶金建设有限公司 | Intelligent coking coal proportioning system |
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