Comprehensive energy efficiency index evaluation method for pulverizing system of double-inlet and double-outlet coal mill
Through a comprehensive energy efficiency index evaluation method, including data collection, processing and energy efficiency evaluation, the problem that traditional methods are difficult to fully reflect the performance of coal mills is solved, and the energy efficiency level of coal milling mechanism powder system has been achieved, which has improved the energy efficiency level of coal-fired power plants.
Patent Information
- Application Number
- CN202510243396.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-03
- Publication Date
- 2025-06-10
AI Technical Summary
The traditional coal mill performance evaluation method is difficult to comprehensively and accurately reflect the actual performance of coal mills, especially under complex and diverse operating conditions.
A method for evaluating the comprehensive energy efficiency index of the double-in and double-out coal-milling mechanism powder system is proposed, including steps such as data collection, data processing, energy efficiency evaluation and comprehensive evaluation. By determining the evaluation indicators, data collection, energy efficiency calculation, energy efficiency evaluation and optimization suggestions, comprehensive evaluation and optimization of the energy efficiency level of the coal-milling mechanism powder system is achieved.
It has achieved a comprehensive evaluation and optimization of the energy efficiency level of the coal-milling powder system, which has the advantages of simplicity of operation, accurate results and easy to promote, and is of great significance to improving the energy efficiency level of coal-fired power plants.
Smart Images
Figure CN120124864A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of energy efficiency evaluation, and particularly to a comprehensive energy efficiency index evaluation method for a double-inlet and double-outlet coal mill pulverizing system. Background Art
[0002] Due to its unique double-loop design, the double-inlet and double-outlet coal mill has the advantages of stable output, fast response speed, high fineness of pulverized coal, etc., and has been widely used in the field of coal-fired power generation.
[0003] The double-inlet and double-outlet coal mill has two completely symmetrical grinding circuits. The raw coal enters the coal chute through a coal feeder that can automatically control the speed, and falls under the conveying device by the action of gravity, and is sent into the cylinder of the coal mill by a rotating auger. A certain amount of steel balls are installed in the cylinder, and they grind the raw coal into pulverized coal by rotation. At the same time, the hot primary air enters the cylinder of the coal mill through the hollow pipes on both sides of the coal mill, dries the raw coal and pulverized coal, and conveys the pulverized coal ground well to the separator above the coal mill through the annular channel of the auger body. The unqualified coarse pulverized coal will be returned to the cylinder for re-grinding, while the qualified fine powder will be sent to the burner of the boiler; in addition, part of the primary air will also enter the mixing box, fully pre-dry the raw coal and then enter the coal mill separator, mix with the primary air entering the mill, and jointly complete the further drying and conveying of the pulverized coal.
[0004] As an important auxiliary equipment in a thermal power plant, the performance of the double-inlet and double-outlet coal mill directly affects the combustion efficiency of the boiler and the overall economy of the unit. With the rapid development of the energy industry and the increasing environmental protection requirements, the performance evaluation and optimization of the coal mill are particularly important; the traditional performance evaluation methods of coal mills mainly rely on on-site tests and data analysis, and evaluate the comprehensive energy efficiency of the coal mill by measuring indexes such as fineness of pulverized coal, output of coal mill, power consumption for coal grinding, and pulverized coal uniformity index. However, due to the complexity and diversity of the operating conditions of the coal mill, the traditional evaluation methods are often difficult to comprehensively and accurately reflect the actual performance of the coal mill.
[0005] Therefore, the present invention proposes a comprehensive energy efficiency index evaluation method for a double-inlet and double-outlet coal mill pulverizing system. Summary of the Invention
[0006] The purpose of the present invention is to solve the deficiencies existing in the prior art, and to propose a comprehensive energy efficiency index evaluation method for a double-inlet and double-outlet coal mill pulverizing system.
[0007] In order to achieve the above purpose, the present invention adopts the following technical solutions: A comprehensive energy efficiency index evaluation method for a double-inlet and double-outlet coal mill pulverizing system, comprising the following steps: S1: Data collection, determining energy efficiency evaluation indexes, and collecting corresponding data according to the energy efficiency evaluation indexes; S2: Data processing, performing normalization processing and integrity processing on the collected data; S3: Energy efficiency evaluation, respectively evaluating the fineness of pulverized coal, the output of coal mill, the power consumption of coal grinding, and the pulverized coal uniformity index; S4: Finally, a comprehensive evaluation is carried out based on the weight according to each evaluation result.
[0008] Preferably: In the step S2, the method of normalization processing adopts: Max - min normalization, the formula is: , where is the minimum value in the data, is the maximum value in the data, is the data before normalization, is the data after normalization; Standardization, its formula is , where is the mean value of the data, is the variance of the data, is the data before normalization, is the data after normalization; Absolute value normalization, its formula is , is the maximum absolute value in the data, is the data before normalization, is the data after normalization; Any one of
[0009] Preferably: In the step S2, the integrity processing includes the following steps: S21: Determine each data acquisition point according to the data acquisition frequency; S22: Obtain the data of each data acquisition point; S23: If there is no data at the data acquisition point, it is determined as empty data and filled by the method based on recent relevance; S24: If the number of data at the data acquisition point is greater than the theoretical number, after deleting all the data, it is filled by the method based on recent relevance.
[0010] Preferably: In the steps S23 and S24, the method based on recent relevance includes the following steps: A1: Establish a two - dimensional coordinate system with the time axis as the horizontal axis and the data as the vertical axis; A2: Select corresponding nodes on the horizontal axis with the data acquisition frequency as the period; A3: Fill the obtained data at the vertical coordinates of each node, and leave the node data missing if it is missing; A4: Fill in according to the formula at the Missing data of a node.
[0011] Preferably: in the step A4, the filling formula is or , is the data of the th node, is the filling function logic.
[0012] Preferably: in the step S3, the evaluation indexes for the fineness of pulverized coal are the mass percentage of pulverized coal passing through a 90-micron sieve hole and the mass percentage of pulverized coal passing through a 200-micron sieve hole, and the calculation formula is: , is the mass of pulverized coal passing through a 90-micron sieve hole, is the mass of pulverized coal passing through a 200-micron sieve hole, is the total mass of pulverized coal.
[0013] Preferably: in the step S3, the evaluation of the output of the coal mill refers to the amount of pulverized coal that the coal mill can grind per unit time .
[0014] Preferably: in the step S3, the evaluation formula for the power consumption of coal grinding is , is the input power of the coal mill within is the amount of pulverized coal ground by the coal mill within
[0015] Preferably: in the step S3, the evaluation method for the pulverized coal uniformity index includes the following steps: S31: Measure the particle size distribution of pulverized coal particles using a particle size analyzer; S32: Then calculate the uniformity index according to the particle size distribution.
[0016] Preferably: in the step S32, calculate the uniformity index, where is the particle mass distribution of pulverized coal particles at the outlet of the coal mill, is the average value of the mass of pulverized coal at the outlet of the coal mill, is the number of pulverized coal samples at the outlet of the coal mill.
[0017] The beneficial effects of the present invention are: Through steps such as determining evaluation indexes, data collection, energy efficiency calculation, energy efficiency evaluation, and optimization suggestions, the present invention realizes a comprehensive evaluation and optimization of the energy efficiency level of the coal pulverizing system of the coal mill. This method has the advantages of simple operation, accurate results, and easy promotion, and is of great significance for improving the energy efficiency level of coal-fired power plants. Description of the Drawings
[0018] Figure 1 This is a flowchart of an evaluation method for the comprehensive energy efficiency index of a double-inlet and double-outlet coal mill pulverizing system proposed by the present invention. Specific embodiments
[0019] The technical solution of the present invention will be further described in detail below in conjunction with specific embodiments.
[0020] In the description of the present invention, it should be noted that unless otherwise clearly specified and limited, the terms "installation", "connection", "connection", and "setting" should be understood in a broad sense. For example, it can be fixedly connected and set, or detachably connected and set, or integrally connected and set. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.
[0021] Example 1:
[0022] An evaluation method for the comprehensive energy efficiency index of a double-inlet and double-outlet coal mill pulverizing system includes the following steps: S1: Data collection, determining the energy efficiency evaluation index, and collecting corresponding data according to the energy efficiency evaluation index; S2: Data processing, performing normalization processing and integrity processing on the collected data; S3: Energy efficiency evaluation, respectively evaluating the fineness of pulverized coal, the output of the coal mill, the power consumption of coal grinding, and the pulverized coal uniformity index; S4: Finally, a comprehensive evaluation is carried out based on the weight according to each evaluation result.
[0023] In the step S2, the method of normalization processing is as follows: Maximum-minimum normalization, the formula is: , where is the minimum value in the data, is the maximum value in the data, is the data before normalization, is the data after normalization.
[0024] Example 2:
[0025] An evaluation method for the comprehensive energy efficiency index of a double-inlet and double-outlet coal mill pulverizing system includes the following steps: S1: Data collection, determining the energy efficiency evaluation index, and collecting corresponding data according to the energy efficiency evaluation index; S2: Data processing, performing normalization processing and integrity processing on the collected data; S3: Energy efficiency evaluation, respectively evaluating the fineness of pulverized coal, the output of the coal mill, the power consumption of coal grinding, and the pulverized coal uniformity index; S4: Finally, a comprehensive evaluation is carried out based on the weight according to each evaluation result.
[0026] In the step S2, the normalization method is as follows: Standardization, and its formula is , where is the mean value of the data, is the variance of the data, is the data before normalization, is the data after normalization.
[0027] Embodiment 3:
[0028] A method for evaluating the comprehensive energy efficiency index of a double-in and double-out coal mill pulverizing system, which includes the following steps: S1: Data collection, determining the energy efficiency evaluation index, and collecting the corresponding data according to the energy efficiency evaluation index; S2: Data processing, performing normalization processing and integrity processing on the collected data; S3: Energy efficiency evaluation, respectively evaluating the fineness of pulverized coal, the output of the coal mill, the power consumption of coal grinding, and the pulverized coal uniformity index; S4: Finally, a comprehensive evaluation is carried out based on the weight according to each evaluation result.
[0029] In the step S2, the normalization method is as follows: Absolute value normalization, and its formula is , is the maximum absolute value in the data, is the data before normalization, is the data after normalization.
[0030] Embodiment 4:
[0031] A method for evaluating the comprehensive energy efficiency index of a double-in and double-out coal mill pulverizing system, which includes the following steps: S1: Data collection, determining the energy efficiency evaluation index, and collecting the corresponding data according to the energy efficiency evaluation index; S2: Data processing, performing normalization processing and integrity processing on the collected data; S3: Energy efficiency evaluation, respectively evaluating the fineness of pulverized coal, the output of the coal mill, the power consumption of coal grinding, and the pulverized coal uniformity index; S4: Finally, a comprehensive evaluation is carried out based on the weight according to each evaluation result.
[0032] In the step S2, the normalization method is as follows: Maximum - minimum normalization, and the formula is: , where is the minimum value in the data, is the maximum value in the data, is the data before normalization, is the data after normalization; Normalization, and its formula is where is the mean value of the data, is the variance of the data, is the data before normalization, is the data after normalization; Absolute value normalization, and its formula is , is the maximum absolute value in the data, is the data before normalization, is the data after normalization; Any one of them.
[0033] In the step S2, the integrity processing includes the following steps: S21: Determine each data acquisition point according to the data acquisition frequency; S22: Obtain the data of each data acquisition point; S23: If there is no data at the data acquisition point, it is determined as empty data and filled using the method based on recent relevance; S24: If the number of data at the data acquisition point is greater than the theoretical number, after deleting all the data, then fill it using the method based on recent relevance.
[0034] Embodiment 5:
[0035] A method for evaluating the comprehensive energy efficiency index of a double-in and double-out coal mill pulverizing system, which includes the following steps: S1: Data acquisition, determine the energy efficiency evaluation index, and acquire the corresponding data according to the energy efficiency evaluation index; S2: Data processing, perform normalization processing and integrity processing on the acquired data; S3: Energy efficiency evaluation, respectively evaluate the fineness of pulverized coal, the output of the coal mill, the power consumption of coal grinding, and the pulverized coal uniformity index; S4: Finally, perform a comprehensive evaluation based on the weight according to each evaluation result.
[0036] In the step S2, the method of normalization processing is as follows: Maximum - minimum normalization, and the formula is: where is the minimum value in the data, is the maximum value in the data, is the data before normalization, is the normalized data; Normalization, and its formula is , where is the mean of the data, is the variance of the data, is the data before normalization, is the normalized data; Absolute value normalization, and its formula is , is the maximum absolute value in the data, is the data before normalization, is the normalized data; Any one of
[0037] In the step S2, the integrity processing includes the following steps: S21: Determine each data acquisition point according to the data acquisition frequency; S22: Obtain the data of each data acquisition point; S23: If there is no data at the data acquisition point, it is determined as empty data, and the method based on recent relevance is used for filling; S24: If the number of data at the data acquisition point is greater than the theoretical number, after deleting all the data, the method based on recent relevance is used for filling.
[0038] In the steps S23 and S24, the method based on recent relevance includes the following steps: A1: Establish a two-dimensional coordinate system with the time axis as the horizontal axis and the data as the vertical axis; A2: Select corresponding nodes on the horizontal axis with the data acquisition frequency as the period; A3: Fill the obtained data into the vertical coordinates of each node, and if the node data is missing, it will be correspondingly vacant; A4: Fill the missing data at the th node according to the formula.
[0039] In the step A4, the filling formula is , is the data of the th node, is the filling function logic.
[0040] Embodiment 6: A method for evaluating the comprehensive energy efficiency index of a double-in and double-out coal mill pulverizing system, which includes the following steps: S1: Data acquisition, determine the energy efficiency evaluation index, and collect the corresponding data according to the energy efficiency evaluation index; S2: Data processing, perform normalization processing and integrity processing on the collected data; S3: Energy efficiency evaluation, including pulverized coal fineness evaluation, coal mill output evaluation, coal grinding power consumption evaluation, and pulverized coal uniformity index evaluation respectively; S4: Finally, a comprehensive evaluation is carried out based on the weight according to each evaluation result.
[0041] In the step S2, the normalization method adopts: Max - min normalization, and the formula is: , where is the minimum value in the data, is the maximum value in the data, is the data before normalization, is the data after normalization; Standardization, and its formula is , where is the mean value of the data, is the variance of the data, is the data before normalization, is the data after normalization; Absolute value normalization, and its formula is , is the maximum absolute value in the data, is the data before normalization, is the data after normalization; Any one of them.
[0042] In the step S2, the integrity processing includes the following steps: S21: Determine each data acquisition point according to the data acquisition frequency; S22: Obtain the data of each data acquisition point; S23: If there is no data at the data acquisition point, it is determined as empty data, and fill it using the method based on recent relevance; S24: If the number of data at the data acquisition point is greater than the theoretical number, after deleting all the data, then fill it using the method based on recent relevance.
[0043] In the steps S23 and S24, the method based on recent relevance includes the following steps: A1: Establish a two - dimensional coordinate system with the time axis as the horizontal axis and the data as the vertical axis; A2: Select corresponding nodes on the horizontal axis with the data acquisition frequency as the period; A3: Fill the obtained data to the vertical coordinate of each node, and leave it blank if the node data is missing; A4: Fill the missing data at the th node according to the formula.
[0044] In the step A4, the filling formula is , is the data of the th node, is the filling function logic.
[0045] Embodiment 7: A comprehensive energy efficiency index evaluation method for a double-in and double-out coal mill pulverizing system, which includes the following steps: S1: Data collection, determine the energy efficiency evaluation index, and collect the corresponding data according to the energy efficiency evaluation index; S2: Data processing, perform normalization processing and integrity processing on the collected data; S3: Energy efficiency evaluation, respectively evaluate the fineness of pulverized coal, the output of the coal mill, the power consumption of coal grinding, and the pulverized coal uniformity index; S4: Finally, perform a comprehensive evaluation based on the weight according to each evaluation result.
[0046] In the step S2, the method of normalization processing is as follows: Max - min normalization, the formula is: , where is the minimum value in the data, is the maximum value in the data, is the data before normalization, is the data after normalization; Standardization, its formula is , where is the mean value of the data, is the variance of the data, is the data before normalization, is the data after normalization; Absolute value normalization, its formula is , is the maximum absolute value in the data, is the data before normalization, is the data after normalization; Any one of
[0047] In the step S2, the integrity processing includes the following steps: S21: Determine each data collection point according to the data collection frequency; S22: Obtain the data of each data collection point; S23: If there is no data at the data collection point, it is determined as empty data, and fill it using the method based on recent relevance; S24: If the number of data at the data collection point is greater than the theoretical number, delete all the data and then fill it using the method based on recent relevance.
[0048] In the S23 and S24 steps, the method for recent relevance includes the following steps: A1: Establish a two-dimensional coordinate system with the time axis as the horizontal axis and the data as the vertical axis; A2: Select corresponding nodes on the horizontal axis with the data acquisition frequency as the period; A3: Fill the obtained data at the vertical coordinates of each node, and leave it blank if the node data is missing; A4: Fill the missing data at the th node according to the formula.
[0049] In the A4 step, the filling formula is, or , is the data of the th node, is the filling function logic.
[0050] In the S3 step, the evaluation indexes for pulverized coal fineness are the mass percentage of pulverized coal passing through a 90-micron sieve hole and the mass percentage of pulverized coal passing through a 200-micron sieve hole, and their calculation formula is , is the mass of pulverized coal passing through a 90-micron sieve hole, is the mass of pulverized coal passing through a 200-micron sieve hole, is the total mass of pulverized coal.
[0051] In the S3 step, the evaluation of the mill output refers to the amount of pulverized coal that the mill can grind per unit time .
[0052] In the S3 step, the evaluation formula for the power consumption of coal grinding is , is the input power of the mill within is the amount of pulverized coal ground by the mill within
[0053] In the S3 step, the method for evaluating the pulverized coal uniformity index includes the following steps: S31: Measure the particle size distribution of pulverized coal particles using a particle size analyzer; S32: Then calculate the uniformity index according to the particle size distribution.
[0054] In the S32 step, calculate the uniformity index, where is the particle mass distribution of pulverized coal particles at the mill outlet, is the average value of the pulverized coal mass at the mill outlet, is the number of pulverized coal samples at the mill outlet.
[0055] The present invention realizes the comprehensive evaluation and optimization of the energy efficiency level of the coal pulverizing system of the coal mill through steps such as determining evaluation indicators, data collection, energy efficiency calculation, energy efficiency evaluation, and optimization suggestions. This method has the advantages of simple operation, accurate results, and easy popularization, and is of great significance for improving the energy efficiency level of coal-fired power plants.
[0056] As mentioned above, only the preferred specific embodiments of the present invention are described, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution and inventive concept of the present invention, making equivalent substitutions or changes should be covered within the protection scope of the present invention.
Claims
1. A method for evaluating comprehensive energy efficiency indicators of a double-inlet and double-outlet coal pulverizing system, characterized in that: The following steps are involved: S1: Data collection, determining energy efficiency evaluation indicators, and collecting corresponding data according to the energy efficiency evaluation indicators; S2: Data processing, normalization and integrity processing of the collected data; S3: Energy efficiency evaluation, including evaluation of coal powder fineness, coal mill output, coal mill power consumption and coal powder uniformity index; S4: Finally, a comprehensive evaluation is performed based on the weights of the various evaluation results.
2. The method for evaluating comprehensive energy efficiency index of a double-inlet and double-outlet coal pulverizing system according to claim 1 is characterized in that: In the step S2, the normalization method is: Maximum-minimum normalization, the formula is: ,in is the minimum value in the data, is the maximum value in the data, is the data before normalization, is the normalized data; Standardization, the formula is ,in is the mean of the data, is the variance of the data, is the data before normalization, is the normalized data; Absolute value normalization, the formula is: , is the maximum absolute value in the data, is the data before normalization, is the normalized data; Any one of .
3. The method for evaluating comprehensive energy efficiency index of a double-inlet and double-outlet coal pulverizing system according to claim 1 is characterized in that: In step S2, the integrity processing includes the following steps: S21: Determine each data collection point according to the frequency of data collection; S22: Obtain data from each data collection point; S23: If there is no data at the data collection point, it is determined to be empty data and filled using a method based on recent correlation; S24: If the number of data at the data collection point is greater than the theoretical number, all data are deleted and then filled in using a method based on recent relevance.
4. The method for evaluating comprehensive energy efficiency index of a double-inlet and double-outlet coal pulverizing system according to claim 3 is characterized in that: In the steps S23 and S24, the recent correlation method includes the following steps: A1: Establish a two-dimensional coordinate system with the time axis as the horizontal axis and the data as the vertical axis; A2: Take the data collection frequency as the period and select the corresponding node on the horizontal axis; A3: Fill the acquired data into the vertical coordinate of each node, and leave a blank if the node data is missing; A4: Fill in the number in the first Missing data for nodes.
5. The method for evaluating comprehensive energy efficiency index of a double-inlet and double-outlet coal pulverizing system according to claim 4 is characterized in that: In step A4, the filling formula is: or , For the The data of the nodes, To fill in the function logic.
6. The method for evaluating comprehensive energy efficiency index of a double-inlet and double-outlet coal pulverizing system according to claim 1 is characterized in that: In the step S3, the evaluation index of the coal powder fineness evaluation is the mass percentage of the coal powder passing through the 90-micron sieve and the mass percentage of the coal powder passing through the 200-micron sieve, and the calculation formula is: , is the mass of coal powder passing through a 90-micron sieve. is the mass of coal powder passing through a 200-micron sieve. is the total mass of coal powder.
7. The method for evaluating comprehensive energy efficiency index of a double-inlet and double-outlet coal pulverizing system according to claim 1 is characterized in that: In step S3, the coal mill output evaluation refers to the amount of coal powder that can be ground by the coal mill per unit time. .
8. The method for evaluating comprehensive energy efficiency index of a double-inlet and double-outlet coal pulverizing system according to claim 1 is characterized in that: In the step S3, the evaluation formula for coal grinding power consumption evaluation is: , for The input power of the coal mill during the time period, for The amount of powder ground by the coal mill within a certain period of time.
9. The method for evaluating comprehensive energy efficiency index of a double-inlet and double-outlet coal pulverizing system according to claim 1 is characterized in that: In the step S3, the method for evaluating the uniformity index of pulverized coal comprises the following steps: S31: using a particle size analyzer to measure the particle size distribution of the pulverized coal particles; S32: The uniformity index is then calculated based on the particle size distribution.
10. A method for evaluating comprehensive energy efficiency index of a double-inlet and double-outlet coal pulverizing system according to claim 9, characterized in that: In the step S32, Calculate the uniformity index, where is the particle distribution of coal powder at the outlet of the coal mill, is the average value of coal powder mass at the outlet of coal mill, The number of coal powder samples exported from the coal mill.