Coal blending combustion management method and system based on artificial intelligence

Abstract

The invention discloses a coal blending combustion management method and system based on artificial intelligence, and relates to the technical field of data analysis, and the method comprises the steps: carrying out the data reading processing of a database system based on an intelligent analysis terminal, and obtaining an internal distribution diagram of a thermal power plant; performing equipment position reading processing on the internal distribution diagram of the thermal power plant, and determining the position of the thermal power equipment to be analyzed; and performing first data analysis processing on all the coal combustion data, and determining coal combustion data of different proportions. The method comprises the following steps: screening coal combustion data with the same coal proportion, determining coal combustion data with different proportions, comparing the power of the coal combustion data with different proportions, determining the coal proportion with the maximum generating capacity under the conditions of the same time and the same coal usage amount, and determining the generating capacity of the coal according to the coal proportion with the maximum generating capacity. The coal ratio is the optimal coal ratio, and effective utilization of the coal can be realized only by using the optimal coal ratio subsequently, so that the generating capacity can be improved, and the generating cost can be reduced.

Description

Technical Field

[0001] This invention relates to the field of data analysis technology, specifically to a coal blending and combustion management method and system based on artificial intelligence. Background Technology

[0002] A thermal power plant, or coal-fired power plant for short, is a factory that uses combustible materials (such as coal) as fuel to produce electricity. The basic production process of a thermal power plant is as follows: fuel burns to heat water and generate steam, converting the chemical energy of the fuel into heat energy. The steam pressure drives a turbine to rotate, converting the heat energy into mechanical energy. The turbine then drives a generator to rotate, converting the mechanical energy into electrical energy. Thermal power plants are mainly divided into steam power plants, gas turbine power plants, and internal combustion engine power plants.

[0003] Thermal power plants convert the thermal energy of coal into electrical energy. However, thermal power plants use a mixture of different types of coal to generate electricity. The different mixing ratios of different types of coal result in different amounts of electricity. If the mixing ratio of different types of coal is not adjusted and a single mixing ratio is used indefinitely, it may lead to coal waste and increase the cost of power generation. Summary of the Invention

[0004] To address the aforementioned technical problems, this paper provides a coal blending and combustion management method and system based on artificial intelligence. This technical solution solves the problems mentioned in the background section.

[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows: An artificial intelligence-based coal blending and combustion management method includes: Based on the intelligent analysis terminal, data is read and processed from the database system to obtain the internal distribution map of the thermal power plant; Based on the intelligent analysis terminal, the internal distribution map of the thermal power plant is read and processed to determine the location of the thermal power equipment to be analyzed. All coal combustion data is acquired, and based on the intelligent analysis terminal, the first data analysis and processing of all coal combustion data is performed to determine the coal combustion data of different ratios. Based on the intelligent analysis terminal, a second data analysis and processing is performed on the coal combustion data of different ratios to determine the optimal coal ratio. Based on the intelligent analysis terminal, the optimal coal ratio is imported into the thermal power equipment.

[0006] Preferably, the step of acquiring all coal combustion data and performing a first data analysis on all coal combustion data based on an intelligent analysis terminal to determine the coal combustion data for different proportions specifically includes the following steps: Based on the intelligent analysis terminal, the database system is read and processed using the location of the thermal power equipment to be analyzed as a feature to obtain all coal combustion data; Based on the intelligent analysis terminal, all coal combustion data are analyzed and processed to determine the combustion data of coal with different ratios.

[0007] Preferably, the step of analyzing and processing all coal combustion data based on the intelligent analysis terminal to determine the coal combustion data for different proportions specifically includes the following steps: Based on the intelligent analysis terminal, all coal combustion data are classified and processed according to different coal ratios to obtain a set of coal combustion data with the same coal ratio. Based on the intelligent analysis terminal, a first rectangular coordinate system is constructed; wherein, the X-axis parameter of the first rectangular coordinate system is the power generation during coal combustion, and the Y-axis parameter of the three-dimensional rectangular coordinate system is the coal usage data; Based on the intelligent analysis terminal, the data in the coal combustion data set with the same coal ratio are processed into curves in the first rectangular coordinate system to obtain several sets of coal combustion curves with the same coal ratio. Based on the intelligent analysis terminal, data reading and processing are performed on a set of coal combustion data with the same coal ratio to determine the minimum value of coal usage data. Based on the intelligent analysis terminal, the combustion curves of several groups of coal with the same coal ratio are calculated and analyzed according to the minimum value of coal usage data to determine the combustion data of coal with different ratios.

[0008] Preferably, the step of using an intelligent analysis terminal to perform data calculation and analysis on several sets of coal combustion curves with the same coal ratio based on the minimum value of coal usage data, and determining the coal combustion data for different ratios, specifically includes the following steps: Based on the intelligent analysis terminal, the minimum value of coal usage data is used as a feature to extract and process the coal combustion curves of several groups with the same coal ratio, thereby obtaining the partial coal combustion curves of several groups with the same coal ratio. Based on the intelligent analysis terminal, the average value of the coal combustion curves of several groups with the same coal ratio is calculated to determine the average power generation when coal with the same coal ratio is burned. Based on the intelligent analysis terminal, the average power generation of coal with the same coal ratio is plotted on the coordinate system of several sets of coal combustion curves with the same coal ratio to obtain the average power generation curve of coal. Based on the intelligent analysis terminal, curve analysis and processing are performed on the average power generation curve of coal and the partial combustion curves of several sets of coal with the same coal ratio to determine the combustion data of coal with different ratios.

[0009] Preferably, the step of performing curve analysis processing on the average coal power generation curve and several sets of coal combustion partial curves with the same coal ratio based on the intelligent analysis terminal to determine the coal combustion data for different ratios specifically includes the following steps: Based on the intelligent analysis terminal, the average power generation curve of coal and several sets of coal combustion curves with the same coal ratio are divided to determine data points at different locations; wherein, the distance between two adjacent data points is the same. Based on the intelligent analysis terminal, the average power generation curve of coal and several sets of coal combustion curves with the same coal ratio are calculated by subtracting data points from different locations to obtain several sets of multiple data differences; the number of data differences is the same as the number of data points. Based on the intelligent analysis terminal, the summation of multiple data differences in each group is calculated to obtain several sets of data convergence values. Based on the minimum value function, sort the near values ​​of several sets of data to determine the minimum value of the near values. Based on the intelligent analysis terminal, the coal combustion data corresponding to the minimum value of the data convergence value is set as the coal combustion data with different ratios.

[0010] Preferably, the second data analysis and processing of coal combustion data with different ratios based on the intelligent analysis terminal to determine the optimal coal ratio specifically includes the following steps: Based on the intelligent analysis terminal, a second rectangular coordinate system is constructed; wherein the X-axis and Y-axis parameters of the second rectangular coordinate system are the same as those of the first rectangular coordinate system. Based on the intelligent analysis terminal, the coal combustion data of different ratios are processed into curves in the second rectangular coordinate system to obtain the coal combustion curves of different ratios. Based on the intelligent analysis terminal, the combustion curves of coal with different ratios are analyzed and processed to determine the optimal coal ratio.

[0011] Preferably, the step of using an intelligent analysis terminal to plot coal combustion data with different proportions in a second rectangular coordinate system to obtain coal combustion curves with different proportions specifically includes the following steps: Based on the intelligent analysis terminal, data reading and processing of coal combustion data with different ratios are performed to obtain multiple sets of coal combustion times with different ratios. Based on the minimum value function, the combustion time of coal with different ratios is sorted to determine the minimum value of coal combustion time; Based on the intelligent analysis terminal, the minimum coal combustion time is used as a feature to extract and process the coal combustion data of different ratios, and obtain partial data of coal combustion of different ratios. Based on the intelligent analysis terminal, the combustion data of coal with different ratios are processed into curves in the second rectangular coordinate system to obtain the combustion curves of coal with different ratios.

[0012] Preferably, the step of performing curve analysis on the combustion curves of coal with different ratios based on an intelligent analysis terminal to determine the optimal coal ratio specifically includes the following steps: Based on the intelligent analysis terminal, data reading and processing are performed on the combustion curves of coal with different ratios to obtain the amount of coal used in the combustion curves of coal with different ratios. Based on the minimum value function, the amount of coal used in the combustion curves of coal with different ratios is sorted to determine the minimum amount of coal used. Based on the intelligent analysis terminal, the combustion curves of coal with different ratios are extracted and processed using the minimum coal consumption as a feature to obtain partial combustion curves of coal with different ratios. Based on the intelligent analysis terminal, the combustion curves of coal with different ratios are calculated and analyzed to determine the optimal coal ratio.

[0013] Preferably, the step of calculating and analyzing the combustion curves of coal with different ratios based on an intelligent analysis terminal to determine the optimal coal ratio specifically includes the following steps: Based on the intelligent analysis terminal, the power generation of the combustion curves of coal with different ratios is summed and calculated to obtain the power generation of coal with different ratios. Based on the intelligent analysis terminal, the average power generation of coal with different ratios is calculated and processed to obtain the power generation per unit of coal with different ratios. Based on the maximum value function, the power generation of coal with different unit ratios is sorted to determine the maximum value of the power generation of coal with different unit ratios. Based on the intelligent analysis terminal, the coal ratio corresponding to the maximum power output of coal with different unit ratios is set as the optimal coal ratio.

[0014] Furthermore, an artificial intelligence-based coal blending and combustion management system is proposed to implement the aforementioned artificial intelligence-based coal blending and combustion management method, including: The intelligent analysis terminal is used to control various modules to classify, plot, analyze, and calculate all coal combustion data to determine the optimal coal ratio; the intelligent analysis terminal is also used to control data transmission and information interaction between various modules. A database system is used to store the internal layout of the thermal power plant and all coal combustion data; A data reading module, which is used to read and process data from the database system; The data classification module is used to classify all coal combustion data and obtain a set of coal combustion data with the same coal ratio. A curve drawing module, which is used to draw curves in a first rectangular coordinate system and a second rectangular coordinate system; The curve truncation module is used to truncate several sets of coal combustion curves with the same coal ratio and coal combustion curves with different ratios. The data calculation module is used to perform difference calculation and analysis on the average power generation curve of coal and several sets of coal combustion partial curves with the same coal ratio to determine the coal combustion data of different ratios. The curve analysis module is used to perform curve analysis on several sets of coal combustion curves with the same coal ratio and coal combustion curves with different ratios to determine the optimal coal ratio.

[0015] Compared with existing technologies, this invention provides an artificial intelligence-based coal blending and combustion management method and system, which has the following beneficial effects: This invention first filters coal combustion data with the same coal ratio to determine coal combustion data with different ratios. Then, it compares the power output of coal combustion data with different ratios to determine the coal ratio that generates the most electricity under the same time and coal usage conditions. This coal ratio is the optimal coal ratio. Subsequently, simply using the optimal coal ratio can achieve effective coal utilization, which can not only increase power generation but also reduce power generation costs. Attached Figure Description

[0016] Figure 1 This is a flowchart illustrating steps S100-S500 in an artificial intelligence-based coal blending and combustion management method proposed in this invention. Figure 2 This is a structural block diagram of a coal blending and combustion management system based on artificial intelligence proposed in this invention. Detailed Implementation

[0017] The following description is intended to disclose the invention and enable those skilled in the art to implement it. The preferred embodiments described below are merely examples, and other obvious variations will occur to those skilled in the art.

[0018] Reference Figure 1 As shown, an artificial intelligence-based coal blending and combustion management method includes: S100: Based on the intelligent analysis terminal, the database system is read and processed to obtain the internal distribution map of the thermal power plant. It is understandable that a thermal power plant will install multiple thermal power equipment, and these thermal power equipment may be of different models, and the coal ratio used by different models of thermal power equipment may be different. S200: Based on the intelligent analysis terminal, the internal distribution map of the thermal power plant is read and processed to determine the location of the thermal power equipment to be analyzed. S300: Acquire all coal combustion data, and based on the intelligent analysis terminal, perform the first data analysis and processing on all coal combustion data to determine the coal combustion data for different proportions. S400, based on the intelligent analysis terminal, performs a second data analysis and processing on the coal combustion data of different ratios to determine the optimal coal ratio; S500, based on intelligent analysis terminals, imports the optimal coal ratio into thermal power equipment; Those skilled in the art will understand that thermal power plants generate electricity by burning coal and converting the heat energy produced by the combustion of coal into electrical energy. The coal used in thermal power plants is made up of different types of coal mixed together. However, different mixing ratios result in different amounts of heat generated during coal combustion, and therefore, different amounts of electrical energy produced. Some mixing ratios may result in a large amount of coal producing only a small amount of heat energy, which will increase the cost of power generation. Therefore, by analyzing all coal combustion data, the optimal coal ratio can be determined, and the efficient utilization of coal can be achieved by using the optimal coal ratio in the future.

[0019] Example 1 S300. Acquire all coal combustion data. Based on the intelligent analysis terminal, perform the first data analysis and processing on all coal combustion data to determine the combustion data of coal with different proportions. The specific steps include the following: S301. Based on the intelligent analysis terminal, the database system is read and processed using the location of the thermal power equipment to be analyzed as a feature to obtain all coal combustion data; S302. Based on the intelligent analysis terminal, perform data analysis and processing on all coal combustion data to determine the coal combustion data for different proportions. Specifically, S302, based on the intelligent analysis terminal, performs data analysis and processing on all coal combustion data to determine the combustion data of coal with different proportions, including the following steps: S3021. Based on the intelligent analysis terminal, classify all coal combustion data according to different coal ratios to obtain a set of coal combustion data with the same coal ratio. It is understandable that a coal blend ratio may be used multiple times, possibly with only different amounts of coal used. Therefore, by classifying all coal combustion data through different coal blend ratios, we can obtain a set of coal combustion data for the same coal blend ratio. There are multiple sets of coal combustion data for the same coal blend ratio. If the thermal power equipment has used several coal blend ratios, there will be several sets of coal combustion data. S3022. Based on the intelligent analysis terminal, a first rectangular coordinate system is constructed; wherein, the X-axis parameter of the first rectangular coordinate system is the power generation during coal combustion, and the Y-axis parameter of the three-dimensional rectangular coordinate system is the coal usage data; S3023. Based on the intelligent analysis terminal, the data in the coal combustion data set with the same coal ratio are processed into curves in the first rectangular coordinate system to obtain several sets of coal combustion curves with the same coal ratio. S3024. Based on the intelligent analysis terminal, the data of coal combustion data set with the same coal ratio is read and processed to determine the minimum value of coal usage data. S3025. Based on the intelligent analysis terminal, the combustion curves of several groups of coal with the same coal ratio are calculated and analyzed according to the minimum value of coal usage data to determine the combustion data of coal with different ratios. It is understandable that the processing of coal combustion data sets with the same coal ratio here refers to processing the data in coal combustion data sets with different coal ratios. It is worth noting that a coal ratio may be used multiple times, but the amount of coal used each time may be different. In order to improve the accuracy of subsequent analysis, it is necessary to extract the curves of several sets of coal combustion curves with the same coal ratio by using the minimum value of coal usage data. This is because some coal usage is too high, and the part that exceeds the minimum value of coal usage data has no reference value. Removing it can also reduce the amount of calculation. Specifically, S3025, based on an intelligent analysis terminal, performs data calculation and analysis on several sets of coal combustion curves with the same coal ratio according to the minimum value of coal usage data, and determines the coal combustion data for different ratios, including the following steps: S30251. Based on the intelligent analysis terminal, the minimum value of coal usage data is used as a feature to extract and process several sets of coal combustion curves with the same coal ratio, and obtain several sets of coal combustion partial curves with the same coal ratio. S30252. Based on the intelligent analysis terminal, the average value of the coal combustion curves of several groups with the same coal ratio is calculated and processed to determine the average power generation when coal with the same coal ratio is burned. S30253. Based on the intelligent analysis terminal, the average power generation of coal with the same coal ratio during combustion is plotted in the coordinate system of several sets of coal combustion curves with the same coal ratio to obtain the average power generation curve of coal. S30254. Based on the intelligent analysis terminal, perform curve analysis processing on the average power generation curve of coal and several sets of coal combustion curves with the same coal ratio to determine the coal combustion data of different ratios. It is understandable that the same coal blend will produce different amounts of heat during combustion, and therefore the corresponding power generation will also differ. However, the difference will not be too large. Therefore, in order to improve the accuracy of subsequent analysis, it is necessary to select coal combustion data with smaller differences. The average value of the data can determine the difference in the data. Therefore, the average power generation curve of coal is introduced to determine the coal combustion data with smaller differences. Specifically, S30254, based on an intelligent analysis terminal, performs curve analysis on the average power generation curve of coal and several sets of coal combustion curves with the same coal ratio to determine the coal combustion data for different ratios, including the following steps: S302541. Based on an intelligent analysis terminal, the average power generation curve of coal and several sets of coal combustion curves with the same coal ratio are divided to determine data points at different locations; wherein, the distance between two adjacent data points is the same. Understandably, in order to determine the difference between the average power generation curve of coal and the combustion part curves of several groups of coal with the same coal ratio, it is necessary to calculate the difference between the average power generation curve of coal and the combustion part curves of several groups of coal with the same coal ratio by using the points on the curve. Therefore, the length of the average power generation curve of coal is divided equally, and each position of the equal division is a data point. Subsequently, it is only necessary to calculate the approximate value of the data point. S302542. Based on the intelligent analysis terminal, the average power generation curve of coal and several sets of coal combustion curves with the same coal ratio are calculated by subtracting data points from different locations to obtain several sets of multiple data differences; wherein, the number of data differences is the same as the number of data points. S302543. Based on the intelligent analysis terminal, summation calculation is performed on multiple data differences in each group to obtain several groups of data convergence values. S302544. Based on the minimum value function, sort several sets of data convergence values ​​to determine the minimum value of the data convergence values. S302545. Based on the intelligent analysis terminal, the coal combustion data corresponding to the minimum value of the data convergence value is set as the coal combustion data with different ratios. It is worth noting that the analysis here is of coal combustion data with the same coal blend ratio, but in fact, it is an analysis of coal combustion data with different coal blend ratios. Therefore, the results are coal combustion data with different blend ratios. It is understandable that the curve closest to the average coal power generation curve is the curve with the least difference. Therefore, by calculating the difference between the average coal power generation curve and several sets of coal combustion curves with the same coal ratio, the distance between each point on the curve and the average coal power generation curve can be obtained. The smaller the distance, the smaller the difference in the combustion data corresponding to that curve. Since the average value of a set of data reflects the variation of the data, sorting the close values ​​of several sets of data can determine the coal combustion data with different ratios.

[0020] Example 2 S400, based on the intelligent analysis terminal, performs a second data analysis and processing on the coal combustion data of different ratios to determine the optimal coal ratio. This specifically includes the following steps: S401. Based on the intelligent analysis terminal, construct a second rectangular coordinate system; wherein the X-axis and Y-axis parameters of the second rectangular coordinate system are the same as the X-axis and Y-axis parameters of the first rectangular coordinate system. S402. Based on the intelligent analysis terminal, the coal combustion data with different ratios are processed into curves in the second rectangular coordinate system to obtain the coal combustion curves with different ratios. S403. Based on the intelligent analysis terminal, the combustion curves of coal with different ratios are analyzed and processed to determine the optimal coal ratio. Specifically, S402, based on the intelligent analysis terminal, processes the coal combustion data of different ratios into curves in the second rectangular coordinate system to obtain the coal combustion curves of different ratios, including the following steps: S4021. Based on the intelligent analysis terminal, the combustion data of coal with different ratios is read and processed to obtain multiple sets of combustion times of coal with different ratios. S4022. Based on the minimum value function, sort the combustion time of coal with different ratios and determine the minimum value of coal combustion time. S4023. Based on the intelligent analysis terminal, the minimum coal combustion time is used as a feature to extract and process the coal combustion data of different ratios, and obtain partial data of coal combustion of different ratios. S4024. Based on the intelligent analysis terminal, the combustion data of coal with different ratios are processed into curves in the second rectangular coordinate system to obtain the combustion curves of coal with different ratios. Specifically, S403, based on an intelligent analysis terminal, performs curve analysis on the combustion curves of coal with different proportions to determine the optimal coal proportion, including the following steps: S4031. Based on the intelligent analysis terminal, data reading and processing are performed on the coal combustion curves with different ratios to obtain the amount of coal used in the coal combustion curves with different ratios. S4032. Based on the minimum value function, sort the amount of coal used in the combustion curves of coal with different ratios to determine the minimum amount of coal used. It is understandable that the coal combustion data of different ratios is only one set of data, and it cannot be guaranteed that the amount of coal used and the coal combustion time are the same. Therefore, the coal combustion curves of different ratios are truncated by the minimum value of coal combustion time and the minimum value of coal used. This is because the part of the curve that is greater than the minimum value of coal combustion time and the minimum value of coal used has no reference value. Therefore, removing it can also reduce the amount of calculation. S4033. Based on the intelligent analysis terminal, the combustion curves of coal with different ratios are extracted and processed using the minimum value of coal consumption as a feature to obtain partial combustion curves of coal with different ratios. S4034. Based on the intelligent analysis terminal, the combustion curves of coal with different ratios are calculated and analyzed to determine the optimal coal ratio. Specifically, S4034, based on an intelligent analysis terminal, calculates and analyzes the combustion curves of coal with different ratios to determine the optimal coal ratio, including the following steps: S40341. Based on the intelligent analysis terminal, the power generation of the combustion curves of coal with different ratios is summed and calculated to obtain the power generation of coal with different ratios. S40342. Based on the intelligent analysis terminal, the average power generation of coal with different ratios is calculated and processed to obtain the power generation per unit of coal with different ratios. The average calculation here is an average calculation between coal-fired power generation capacity, coal combustion time, and coal consumption. S40343. Based on the maximum value function, sort the power generation of coal with different unit ratios and determine the maximum value of power generation of coal with different unit ratios. S40344. Based on the intelligent analysis terminal, the coal ratio corresponding to the maximum value of coal power generation with different unit ratios is set as the optimal coal ratio. Understandably, determining the optimal coal blend ratio requires analyzing coal combustion data for different ratios. Therefore, this study uses the controlled variable method to fix the coal combustion time and coal consumption, that is, setting the same coal combustion time and coal consumption for different coal blend ratios. Under the same coal combustion time and coal consumption conditions, the coal power generation is compared, and the coal blend ratio corresponding to the maximum coal power generation is the optimal coal blend ratio.

[0021] Reference Figure 2 As shown, an artificial intelligence-based coal blending and combustion management system is used to implement the aforementioned artificial intelligence-based coal blending and combustion management method, including: The intelligent analysis terminal is used to control various modules to classify, plot, analyze, and calculate all coal combustion data to determine the optimal coal ratio; the intelligent analysis terminal is also used to control data transmission and information interaction between various modules. A database system is used to store the internal layout of the thermal power plant and all coal combustion data; A data reading module, which is used to read and process data from the database system; The data classification module is used to classify all coal combustion data and obtain a set of coal combustion data with the same coal ratio. A curve drawing module, which is used to draw curves in a first rectangular coordinate system and a second rectangular coordinate system; The curve truncation module is used to truncate several sets of coal combustion curves with the same coal ratio and coal combustion curves with different ratios. The data calculation module is used to perform difference calculation and analysis on the average power generation curve of coal and several sets of coal combustion partial curves with the same coal ratio to determine the coal combustion data of different ratios. The curve analysis module is used to perform curve analysis on several sets of coal combustion curves with the same coal ratio and coal combustion curves with different ratios to determine the optimal coal ratio.

[0022] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention. The scope of protection claimed by the appended claims and their equivalents is defined.

Claims

1. A coal blending and combustion management method based on artificial intelligence, characterized in that, include: Based on the intelligent analysis terminal, data is read and processed from the database system to obtain the internal distribution map of the thermal power plant; Based on the intelligent analysis terminal, the internal distribution map of the thermal power plant is read and processed to determine the location of the thermal power equipment to be analyzed. All coal combustion data is acquired, and based on the intelligent analysis terminal, the first data analysis and processing of all coal combustion data is performed to determine the coal combustion data of different ratios. Based on the intelligent analysis terminal, a second data analysis and processing is performed on the coal combustion data of different ratios to determine the optimal coal ratio. Based on the intelligent analysis terminal, the optimal coal ratio is imported into the thermal power equipment.

2. The method for managing coal blending and combustion based on artificial intelligence according to claim 1, characterized in that, The process of acquiring all coal combustion data, and performing initial data analysis on all coal combustion data based on an intelligent analysis terminal to determine the combustion data for different coal ratios, specifically includes the following steps: Based on the intelligent analysis terminal, the database system is read and processed using the location of the thermal power equipment to be analyzed as a feature to obtain all coal combustion data; Based on the intelligent analysis terminal, all coal combustion data are analyzed and processed to determine the combustion data of coal with different ratios.

3. The method for managing coal blending and combustion based on artificial intelligence according to claim 2, characterized in that, The process of analyzing and processing all coal combustion data based on an intelligent analysis terminal to determine the combustion data for different coal ratios specifically includes the following steps: Based on the intelligent analysis terminal, all coal combustion data are classified and processed according to different coal ratios to obtain a set of coal combustion data with the same coal ratio. Based on the intelligent analysis terminal, a first rectangular coordinate system is constructed; wherein, the X-axis parameter of the first rectangular coordinate system is the power generation during coal combustion, and the Y-axis parameter of the three-dimensional rectangular coordinate system is the coal usage data; Based on the intelligent analysis terminal, the data in the coal combustion data set with the same coal ratio are processed into curves in the first rectangular coordinate system to obtain several sets of coal combustion curves with the same coal ratio. Based on the intelligent analysis terminal, data reading and processing are performed on a set of coal combustion data with the same coal ratio to determine the minimum value of coal usage data. Based on the intelligent analysis terminal, the combustion curves of several groups of coal with the same coal ratio are calculated and analyzed according to the minimum value of coal usage data to determine the combustion data of coal with different ratios.

4. The method for managing coal blending and combustion based on artificial intelligence according to claim 3, characterized in that, The process of using an intelligent analysis terminal to perform data calculation and analysis on several sets of coal combustion curves with the same coal ratio based on the minimum value of coal usage data, and determining the coal combustion data for different ratios, specifically includes the following steps: Based on the intelligent analysis terminal, the minimum value of coal usage data is used as a feature to extract and process the coal combustion curves of several groups with the same coal ratio, thereby obtaining the partial coal combustion curves of several groups with the same coal ratio. Based on the intelligent analysis terminal, the average value of the coal combustion curves of several groups with the same coal ratio is calculated to determine the average power generation when coal with the same coal ratio is burned. Based on the intelligent analysis terminal, the average power generation of coal with the same coal ratio is plotted on the coordinate system of several sets of coal combustion curves with the same coal ratio to obtain the average power generation curve of coal. Based on the intelligent analysis terminal, curve analysis and processing are performed on the average power generation curve of coal and the partial combustion curves of several sets of coal with the same coal ratio to determine the combustion data of coal with different ratios.

5. The coal blending and combustion management method based on artificial intelligence according to claim 4, characterized in that, The process of analyzing the average power generation curve of coal and the combustion curves of several sets of coal with the same coal ratio based on the intelligent analysis terminal to determine the combustion data of coal with different ratios specifically includes the following steps: Based on the intelligent analysis terminal, the average power generation curve of coal and several sets of coal combustion curves with the same coal ratio are divided to determine data points at different locations; wherein, the distance between two adjacent data points is the same. Based on the intelligent analysis terminal, the average power generation curve of coal and several sets of coal combustion curves with the same coal ratio are calculated by subtracting data points from different locations to obtain several sets of multiple data differences; the number of data differences is the same as the number of data points. Based on the intelligent analysis terminal, the summation of multiple data differences in each group is calculated to obtain several sets of data convergence values. Based on the minimum value function, sort the near values ​​of several sets of data to determine the minimum value of the near values. Based on the intelligent analysis terminal, the coal combustion data corresponding to the minimum value of the data convergence value is set as the coal combustion data with different ratios.

6. The method for coal blending and combustion management based on artificial intelligence according to claim 1, characterized in that, The process of performing a second data analysis on coal combustion data with different proportions based on an intelligent analysis terminal to determine the optimal coal proportions specifically includes the following steps: Based on the intelligent analysis terminal, a second rectangular coordinate system is constructed; wherein the X-axis and Y-axis parameters of the second rectangular coordinate system are the same as those of the first rectangular coordinate system. Based on the intelligent analysis terminal, the coal combustion data of different ratios are processed into curves in the second rectangular coordinate system to obtain the coal combustion curves of different ratios. Based on the intelligent analysis terminal, the combustion curves of coal with different ratios are analyzed and processed to determine the optimal coal ratio.

7. The method for coal blending and combustion management based on artificial intelligence according to claim 6, characterized in that, The process of using an intelligent analysis terminal to plot coal combustion data with different ratios in a second rectangular coordinate system to obtain coal combustion curves with different ratios includes the following steps: Based on the intelligent analysis terminal, data reading and processing of coal combustion data with different ratios are performed to obtain multiple sets of coal combustion times with different ratios. Based on the minimum value function, the combustion time of coal with different ratios is sorted to determine the minimum value of coal combustion time; Based on the intelligent analysis terminal, the minimum coal combustion time is used as a feature to extract and process the coal combustion data of different ratios, and obtain partial data of coal combustion of different ratios. Based on the intelligent analysis terminal, the combustion data of coal with different ratios are processed into curves in the second rectangular coordinate system to obtain the combustion curves of coal with different ratios.

8. The method for coal blending and combustion management based on artificial intelligence according to claim 6, characterized in that, The process of analyzing the combustion curves of coal with different proportions based on an intelligent analysis terminal to determine the optimal coal proportion includes the following steps: Based on the intelligent analysis terminal, data reading and processing are performed on the combustion curves of coal with different ratios to obtain the amount of coal used in the combustion curves of coal with different ratios. Based on the minimum value function, the amount of coal used in the combustion curves of coal with different ratios is sorted to determine the minimum amount of coal used. Based on the intelligent analysis terminal, the combustion curves of coal with different ratios are extracted and processed using the minimum coal consumption as a feature to obtain partial combustion curves of coal with different ratios. Based on the intelligent analysis terminal, the combustion curves of coal with different ratios are calculated and analyzed to determine the optimal coal ratio.

9. The coal blending and combustion management method based on artificial intelligence according to claim 8, characterized in that, The process of calculating and analyzing the combustion curves of coal with different ratios based on an intelligent analysis terminal to determine the optimal coal ratio includes the following steps: Based on the intelligent analysis terminal, the power generation of the combustion curves of coal with different ratios is summed and calculated to obtain the power generation of coal with different ratios. Based on the intelligent analysis terminal, the average power generation of coal with different ratios is calculated and processed to obtain the power generation per unit of coal with different ratios. Based on the maximum value function, the power generation of coal with different unit ratios is sorted to determine the maximum value of the power generation of coal with different unit ratios. Based on the intelligent analysis terminal, the coal ratio corresponding to the maximum power output of coal with different unit ratios is set as the optimal coal ratio.

10. An artificial intelligence-based coal blending and combustion management system, used to implement the artificial intelligence-based coal blending and combustion management method as described in any one of claims 1-9, characterized in that, include: The intelligent analysis terminal is used to control various modules to classify, plot, analyze, and calculate all coal combustion data to determine the optimal coal ratio; the intelligent analysis terminal is also used to control data transmission and information interaction between various modules. A database system is used to store the internal layout of the thermal power plant and all coal combustion data; A data reading module, which is used to read and process data from the database system; The data classification module is used to classify all coal combustion data and obtain a set of coal combustion data with the same coal ratio. A curve drawing module, which is used to draw curves in a first rectangular coordinate system and a second rectangular coordinate system; The curve truncation module is used to truncate several sets of coal combustion curves with the same coal ratio and coal combustion curves with different ratios. The data calculation module is used to perform difference calculation and analysis on the average power generation curve of coal and several sets of coal combustion partial curves with the same coal ratio to determine the coal combustion data of different ratios. The curve analysis module is used to perform curve analysis on several sets of coal combustion curves with the same coal ratio and coal combustion curves with different ratios to determine the optimal coal ratio.

Images