A multi-layer waste coal residue crushing system based on power generation prediction

Abstract

The application provides a multi-layer waste coal residue crushing system based on power generation prediction, and relates to the technical field of thermal power generation. The system comprises a power generation prediction unit, a central control unit and a multi-stage crushing device. The power generation prediction unit is used to predict the power generation of a thermal power station, so as to predict the yield and volume of waste coal residue produced by the thermal power station. The central control unit is used to formulate a reasonable crushing treatment strategy according to the predicted yield and volume of waste coal residue, and control the multi-stage crushing device to perform corresponding crushing treatment on the waste coal residue. The multi-stage crushing device comprises a coarse crushing unit, a fine grinding unit and a precision grinding unit. The coarse crushing unit, the fine grinding unit and the precision grinding unit are respectively used to perform coarse crushing, fine grinding and precision grinding treatment on the waste coal residue, and are also used to realize the step-by-step transmission of the waste coal residue. The system can improve the efficiency of waste coal residue crushing, ensure the stability of system operation, and save energy.

Description

Technical Field

[0001] This invention relates to the field of thermal power generation technology, and more specifically, to a multi-layer waste coal slag crushing system based on power generation prediction. Background Technology

[0002] With industrial development, coal, as one of the main energy sources, has made the treatment of waste coal slag generated in power plants and other industrial sites a pressing issue. Traditional methods for treating waste coal slag often suffer from high energy consumption, low efficiency, and severe environmental pollution. Especially today, with increasingly stringent energy management and environmental protection requirements, how to effectively utilize resources and reduce pollution has become a key focus for the industry.

[0003] Existing waste coal ash crushing systems often fail to accurately balance the dynamic relationship between power generation and waste ash processing capacity, leading to low equipment operating efficiency and even resource waste. Furthermore, the lack of effective forecasting mechanisms makes it difficult for waste coal ash processing systems to cope with fluctuations in power generation, thus affecting the stability and economic efficiency of the entire production process. Summary of the Invention

[0004] The purpose of this invention is to provide a multi-layer waste coal slag crushing system based on power generation prediction, which can improve the efficiency of waste coal slag crushing, ensure the stability of system operation, and save energy.

[0005] This invention is achieved through the following technical solution:

[0006] A multi-layer waste coal slag crushing system based on power generation prediction includes a power generation prediction unit, a central control unit, and multi-stage crushing equipment.

[0007] The power generation prediction unit is used to predict the power generation of the thermal power plant, thereby predicting the output and volume of waste coal slag produced by the thermal power plant.

[0008] The central control unit is used to formulate a reasonable crushing and processing strategy based on the predicted output and volume of waste coal slag, and to control the multi-stage crushing equipment to crush the waste coal slag accordingly.

[0009] The multi-stage crushing equipment includes a coarse crushing unit, a fine grinding unit, and a precision grinding unit. The coarse crushing unit, fine grinding unit, and precision grinding unit are used to coarsely crush, finely grind, and precision grind waste coal slag, respectively. The coarse crushing unit, fine grinding unit, and precision grinding unit are also used to realize the step-by-step transfer of waste coal slag.

[0010] Furthermore, the power generation prediction unit includes a data collection module, a data preprocessing module, a model selection module, a model training and verification module, and a model optimization module;

[0011] The data collection module is used to collect historical power generation data, weather data, economic indicators, and demographic data.

[0012] The data preprocessing module is used to clean the data, create new features that help predict power generation based on the cleaned data, and standardize the feature data.

[0013] The model selection module has multiple preset power generation prediction models;

[0014] The model training and validation module divides the preprocessed dataset into a training set, a validation set, and a test set. Based on the training set, validation set, and test set, it evaluates the performance of each model and determines the highest-performing prediction model.

[0015] The model optimization module adjusts the hyperparameters of the corresponding model based on the prediction model determined by the training and validation module to obtain the optimized prediction model. Substituting the cleaned data into the optimized model yields the predicted power generation of the thermal power plant.

[0016] Furthermore, the training set, validation set, and test set account for 70%, 15%, and 15%, respectively.

[0017] Furthermore, the model optimization module uses grid search or random search methods to find the optimal hyperparameters of the prediction model determined in the model training and validation module.

[0018] Furthermore, the power prediction unit also includes a deployment and monitoring module, which is used to deploy the optimized prediction model into practical applications and periodically check the deviation between the prediction results of the prediction model and the actual situation.

[0019] Furthermore, the central control unit includes a data receiving module, a CPU, and a shredding processing strategy generation module;

[0020] The data receiving module is used to receive the power generation prediction value output by the power generation prediction unit;

[0021] The CPU has multiple preset thresholds, which are used to compare the predicted power generation value with the threshold value.

[0022] The pulverization strategy generation module is used to generate a corresponding pulverization strategy based on the comparison results between the predicted power generation value and the threshold. The pulverization strategy is used to control the working status of the coarse pulverization unit, the fine grinding unit, and the precision grinding unit.

[0023] Furthermore, the coarse crushing unit includes a first feed trough, a first gantry frame, and a crushing hammer;

[0024] The feed end of the first feed chute is used to receive waste coal slag. The first feed chute is fixedly equipped with a first portal frame. A telescopic drive component is fixedly installed on the top of the first portal frame. The telescopic drive component is fixedly connected to the top of the support leg.

[0025] The bottom of the support leg passes through the top of the first portal frame and is connected to the crushing hammer, which is located above the surface of the first material feed trough.

[0026] Furthermore, the crushing hammer is cylindrical, and multiple protrusions are evenly distributed on the surface of the cylindrical crushing hammer.

[0027] Furthermore, the fine grinding unit includes a second feed trough, a diverting block, a grinding roller, a second gantry frame, a limiting block, and a spring. The feed end of the second feed trough is used to receive the coarsely crushed waste coal slag output from the first feed trough. The second feed trough is fixedly equipped with a second gantry frame.

[0028] The diversion block is used to guide the waste coal slag in the feed trough to both sides of the diversion block. A bidirectional motor is installed in the diversion block, and the two drive shafts of the bidirectional motor are respectively connected to a grinding roller. A guide rod is fixedly provided on the top surface of the diversion block, and the head end of the guide rod passes through the second portal frame and is fixedly connected to the limiting block.

[0029] The guide rod is fitted with a spring, and the two ends of the spring are fixedly connected to the bottom end of the second portal frame and the diverter block, respectively.

[0030] Furthermore, the fine grinding unit is a grinding disc structure.

[0031] The technical solution of the present invention has at least the following advantages and beneficial effects:

[0032] This invention provides a multi-layer waste coal slag crushing system based on power generation prediction. By predicting the amount of waste coal slag, the system can better plan the operation strategy of subsequent multi-stage crushing equipment, thereby ensuring the stability of waste coal slag crushing and processing when the amount of waste coal slag changes.

[0033] Secondly, the use of multi-stage crushing equipment can perform fine and targeted crushing of waste coal slag, effectively improving the crushing efficiency of waste coal slag and saving energy. Attached Figure Description

[0034] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0035] Figure 1This is a schematic diagram of a structure provided by the present invention;

[0036] Figure 2 This is a schematic diagram of the structure of the multi-stage pulverizing equipment provided by the present invention;

[0037] Figure 3 This is a schematic diagram of the coarse grinding unit provided by the present invention;

[0038] Figure 4 This is a schematic diagram of the structure of the fine grinding unit provided by the present invention.

[0039] Icons: 1. Power generation prediction unit; 2. Central control unit; 3. Multi-stage crushing equipment; 31. Coarse crushing unit; 311. First feed chute; 312. First gantry frame; 313. Crushing hammer; 314. Telescopic drive component; 315. Support leg; 316. Protrusion; 32. Fine grinding unit; 321. Second feed chute; 322. Diverter block; 323. Grinding roller; 324. Second gantry frame; 325. Guide rod; 326. Limiting block; 327. Spring; 328. Bidirectional motor; 33. Fine grinding unit. Detailed Implementation

[0040] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0041] Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0042] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0043] In the description of this invention, it should be noted that if terms such as "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," or "outer" are used to indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, or the orientation or positional relationship commonly used when the product is in use, they are only for the convenience of describing this invention and simplifying the description, and are not intended to indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this invention.

[0044] In the description of this invention, it should also be noted that, unless otherwise explicitly specified and limited, the terms "set," "install," "connect," and "link" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0045] Example 1

[0046] Combined with appendix Figure 1-2 The multi-layer waste coal slag crushing system based on power generation prediction includes a power generation prediction unit 1, a central control unit 2, and a multi-stage crushing device 3.

[0047] The power generation prediction unit 1 is used to predict the power generation of the thermal power plant, thereby predicting the output and volume of waste coal slag produced by the thermal power plant.

[0048] By predicting the power generation of thermal power plants, we can obtain information about the operating status of the power generation equipment, including operating time, coal input, and coal consumption. In thermal power plants, when electricity demand is high, the amount of coal input is usually increased to meet this demand and improve power generation capacity. This leads to an increase in the quantity and volume of waste coal ash produced during combustion. This is because more coal is consumed to generate more steam, which in turn drives the generator to produce more electricity.

[0049] Conversely, when electricity demand is low, power plants can reduce the amount of coal they use. This means that the coal can burn more completely during the combustion process, and under more optimized combustion conditions, the coal combustion efficiency will be higher, resulting in less waste coal ash and a correspondingly smaller volume.

[0050] Therefore, by predicting the power generation of thermal power plants, it is possible to determine whether the final output of waste coal slag is large or small, and whether the volume of waste coal is large or small.

[0051] The central control unit 2 is used to formulate a reasonable crushing and processing strategy based on the predicted output and volume of waste coal slag, and to control the multi-stage crushing equipment 3 to crush the waste coal slag accordingly.

[0052] When the power generation of a thermal power plant is large, resulting in a large output and volume of waste coal, the corresponding crushing and processing strategy is to start each unit in the multi-stage crushing equipment 3 and crush the non-coal in sequence through coarse crushing, fine grinding and fine grinding steps.

[0053] When the power generation of a thermal power plant is stable and moderate, resulting in the output and volume of waste coal being at a moderate level, the corresponding crushing and processing strategy is to start the fine grinding unit 32 and the fine grinding unit 33 in the multi-stage crushing equipment 3, and crush the non-coal in sequence through the fine grinding and fine grinding steps.

[0054] When the power generation of a thermal power plant is small, resulting in a small output and volume of waste coal, the corresponding crushing and processing strategy is to start the fine grinding unit 33 in the multi-stage crushing equipment 3 to crush the non-coal.

[0055] By formulating this treatment strategy, each unit in the multi-stage crushing equipment 3 can be rationally utilized for waste coal with different yields, ensuring that the waste coal slag is fully crushed and treated, while reducing energy waste accordingly.

[0056] The multi-stage crushing equipment 3 includes a coarse crushing unit 31, a fine grinding unit 32, and a fine grinding unit 33. The coarse crushing unit 31, the fine grinding unit 32, and the fine grinding unit 33 are respectively used to coarsely crush, finely grind, and finely grind waste coal slag. The coarse crushing unit 31, the fine grinding unit 32, and the fine grinding unit 33 are also used to realize the step-by-step transfer of waste coal slag.

[0057] Among them, the waste coal slag is transferred step by step between the coarse crushing unit 31, the fine grinding unit 32 and the fine grinding unit 33 as follows: the waste coal slag after passing through the coarse crushing unit 31 can directly enter the fine grinding unit 32, and the waste coal slag after passing through the fine grinding unit 32 can directly enter the fine grinding unit 33.

[0058] It should be noted that if the coarse crushing step is not required in the crushing process, that is, if the coarse crushing unit 31 is not activated, the waste coal slag will still enter the coarse crushing unit 31 after being sent out of the thermal power plant, but the coarse crushing step is not required. After passing through the coarse crushing unit 31, the waste coal slag will directly enter the fine grinding unit 32.

[0059] If the crushing process does not require a fine grinding step, the waste coal slag will directly enter the fine grinding unit 32 after passing through the coarse crushing unit 31, and will then enter the fine grinding unit 33 through the fine grinding unit 32.

[0060] Although waste coal slag always goes through coarse crushing unit 31, fine grinding unit 32 and fine grinding unit 33, the specific crushing unit can be activated based on the crushing treatment strategy, thereby achieving the goal of energy conservation and emission reduction.

[0061] Example 2

[0062] The power generation prediction unit 1 includes a data collection module, a data preprocessing module, a model selection module, a model training and verification module, and a model optimization module;

[0063] The data collection module is used to collect historical power generation data, weather data, economic indicators, and demographic data.

[0064] Historical power generation data includes: hourly or daily power generation data collected over the past 3-5 years;

[0065] Weather data, including temperature, humidity, and wind speed, can be obtained from weather stations;

[0066] Economic indicators include GDP growth rate, industrial production index, etc.

[0067] Demographic data includes understanding the population size and distribution within the service area;

[0068] The above data covers the main factors that can have a significant impact on the power generation of thermal power plants; and these factors can form a dataset.

[0069] The data preprocessing module is used to clean the data, create new features that help predict power generation based on the cleaned data, and standardize the feature data.

[0070] The preprocessing process targets the dataset, while data cleaning involves removing or filling missing values, such as filling with the value from the previous time step or the average value.

[0071] The creation of new features involves transforming and processing the original data to generate new features in order to better capture the information in the data. The goal is to make it easier for subsequent mathematical models to learn the patterns and rules in the data.

[0072] Standardization refers to transforming a dataset containing new features into a form with zero mean and unit variance, ensuring that the scales of different features are consistent.

[0073] Z-score standardization is generally used in the standardization process.

[0074]

[0075] The target data can be feature data. The average value of the dataset. The standard deviation of all data points in the entire dataset;

[0076] Or Min-Max scaling,

[0077]

[0078] For the data points in the dataset that need to be scaled, and These are the minimum and maximum values ​​of the dataset, respectively.

[0079] The model selection module has multiple preset power generation prediction models;

[0080] These include linear regression models, suitable for simple linear relationships; support vector machine (SVM) models, suitable for non-linear relationships; random forest models, suitable for handling complex datasets and capable of automatically selecting important features; gradient boosting tree (GBDT) models, boosting algorithms suitable for large-scale datasets; and long short-term memory network (LSTM) models, suitable for time series forecasting and capable of capturing temporal dependencies.

[0081] The model training and validation module divides the preprocessed dataset into a training set, a validation set, and a test set. Based on the training set, validation set, and test set, it evaluates the performance of each model and determines the highest-performing prediction model.

[0082] The training set is used to train the model, allowing it to learn the mapping relationship between input data and output results. The validation set is used to evaluate the model's performance during training, adjust the model's hyperparameters, and select the best model. The test set is used to finally evaluate the model's performance after training and tuning.

[0083] Specifically, the training set, validation set, and test set account for 70%, 15%, and 15%, respectively.

[0084] In addition, when evaluating the performance of each model, cross-validation is first used to verify the error of each model, where the K-fold cross-validation formula is:

[0085]

[0086] The number of folds for cross-validation, i.e., dividing the dataset into... A subset For the first Verification error of the fold;

[0087] The mean squared error and mean absolute error are then used to evaluate the model's performance.

[0088] The model optimization module adjusts the hyperparameters of the corresponding model based on the prediction model determined by the training and validation module to obtain the optimized prediction model. Substituting the cleaned data into the optimized model yields the predicted power generation of the thermal power plant.

[0089] Hyperparameters are parameters that are not learned by the model during training and need to be set manually. By adjusting the hyperparameters, the model can achieve optimal performance on the validation set. In addition, the model optimization module uses grid search or random search methods to find the optimal hyperparameters of the prediction model determined in the model training and validation module.

[0090] As needed, the power prediction unit also includes a deployment and monitoring module, which is used to deploy the optimized prediction model to practical applications and periodically check the deviation between the prediction results of the prediction model and the actual situation; it is used to provide feedback and verify the accuracy of the calculation results in the prediction model, and if the accuracy decreases, the prediction model will be modified in a timely manner.

[0091] Example 3

[0092] The central control unit includes a data receiving module, a CPU, and a shredding processing strategy generation module;

[0093] The data receiving module is used to receive the power generation prediction value output by the power generation prediction unit 1;

[0094] The CPU has multiple preset thresholds, which are used to compare the predicted power generation value with the threshold value.

[0095] The threshold setting includes: setting multiple thresholds based on historical data and experience, such as low load threshold, medium load threshold and high load threshold; and then using simple logical judgments such as if-else statements to compare the predicted power generation value with the threshold to determine the current power load situation.

[0096] The crushing and processing strategy generation module is used to generate a corresponding crushing and processing strategy based on the comparison results between the predicted power generation value and the threshold. The crushing and processing strategy is used to control the working status of the coarse crushing unit 31, the fine grinding unit 32 and the fine grinding unit 33.

[0097] Example 4

[0098] Combined with appendix Figure 3 The coarse crushing unit 31 includes a first feed trough 311, a first gantry frame 312, and a crushing hammer 313;

[0099] The feed end of the first feed trough 311 is used to receive waste coal slag. The first feed trough 311 is fixedly provided with a first portal frame 312. The top of the first portal frame 312 is fixedly installed with a telescopic drive component 314. The telescopic drive component 314 is fixedly connected to the top of the support leg 315.

[0100] After the bottom of the support leg 315 passes through the top of the first portal frame 312, the waste coal slag is connected to the crushing hammer 313, which is located above the surface of the feed trough.

[0101] The telescopic drive 314, through its telescopic movement, synchronously drives the support leg 315 and the crushing hammer 313 to perform up and down movements, so that the crushing hammer 313 can crush the waste coal slag in the first feed trough 311. It should be noted that the support leg 315 is also a portal structure. The horizontal bar of the support leg 315 is fixedly connected to the telescopic drive 314, and the two vertical bars of the support leg 315 are located on both sides of the telescopic drive 314, and after passing through the top of the first portal bracket, they are connected to the two ends of the crushing hammer 313.

[0102] In addition, combined with the appendix Figure 4 The crushing hammer 313 is cylindrical, and multiple protrusions 316 are evenly distributed on its surface. Based on this structure, each of the two vertical rods of the support leg 315 has a through hole at its bottom, allowing the connecting posts at both ends of the cylindrical crushing hammer 313 to engage with the through hole, thus enabling the cylindrical crushing hammer 313 to rotate freely. Furthermore, when the crushing hammer 313 moves up and down to crush the waste coal slag, it can also rotate randomly, thereby using the surfaces of different parts of the crushing hammer 313 to crush the waste coal slag, improving the overall service life of the crushing hammer 313. In addition, the protrusions 316 on the surface of the cylindrical crushing hammer 313 can improve the efficiency of primary crushing of waste coal slag.

[0103] As needed, the fine grinding unit 32 includes a second feed trough 321, a diverting block 322, a grinding roller 323, a second portal frame 324, a limiting block 326, and a spring 327. The feed end of the second feed trough 321 is used to receive the coarsely crushed waste coal slag output from the first feed trough 311. The second feed trough 321 is fixedly provided with the second portal frame 324.

[0104] The diversion block 322 is used to guide the waste coal slag in the feed trough to both sides of the diversion block 322. A bidirectional motor 328 is installed in the diversion block 322. The two drive shafts of the bidirectional motor 328 are respectively connected to a grinding roller 323. A guide rod 325 is fixedly provided on the top surface of the diversion block 322. The head end of the guide rod 325 passes through the second portal frame 324 and is fixedly connected to the limiting block 326.

[0105] The guide rod 325 is fitted with a spring 327, and the two ends of the spring 327 are fixedly connected to the bottom end of the second portal frame 324 and the diverter block 322, respectively.

[0106] The end face of the diverting block 322 facing the feed end of the second feed chute 321 is set in a triangular shape. One corner of the triangle is used to separate the waste coal slag flowing to the diverting block 322, so as to guide it to both sides of the diverting block 322, that is, the two grinding rollers 323. The grinding rollers 323 are driven to rotate by the bidirectional motor 328 to realize the secondary fine grinding of the waste coal slag. At the same time, the diverting block 322 and the grinding rollers 323 can have a high downward pressure under the action of the spring 327, thus having a certain crushing effect on the waste coal slag and improving the fine grinding effect.

[0107] In addition, the fine grinding unit 33 is a grinding disc structure, which, as a three-stage fine grinding step, can grind waste coal slag into extremely small particles.

[0108] It should be noted that the first feed trough 311 and the second feed trough 321 are right-angled U-shaped plate structures, that is, the cross-section of the two feed troughs is right-angled U-shaped, and the two feed troughs are parallel and inclined, so that the waste coal slag can move automatically along the feed trough under the action of gravity, and be crushed or finely ground by the crushing hammer 313 or the grinding roller 323 during the movement.

[0109] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A multi-layer waste coal slag crushing system based on power generation prediction, characterized in that: It includes a power generation prediction unit (1), a central control unit (2), and a multi-stage crushing device (3). The power generation prediction unit (1) is used to predict the power generation of the thermal power plant, thereby predicting the output and volume of waste coal slag produced by the thermal power plant. The power generation prediction unit (1) includes a data collection module, a data preprocessing module, a model selection module, a model training and verification module, and a model optimization module; The data collection module is used to collect historical power generation data, weather data, economic indicators, and demographic data. The data preprocessing module is used to clean the data, create new features that help predict power generation based on the cleaned data, and standardize the feature data. The model selection module has multiple preset power generation prediction models; The model training and validation module divides the preprocessed dataset into a training set, a validation set, and a test set. Based on the training set, validation set, and test set, it evaluates the performance of each model and determines the highest-performing prediction model. The model optimization module adjusts the hyperparameters of the corresponding model based on the prediction model determined by the training and validation module to obtain the optimized prediction model. Substituting the cleaned data into the optimized model yields the predicted power generation of the thermal power plant. The central control unit (2) is used to formulate a reasonable crushing and processing strategy based on the predicted output and volume of waste coal slag, and to control the multi-stage crushing equipment (3) to carry out corresponding crushing and processing of waste coal slag. The central control unit (2) includes a data receiving module, a CPU, and a crushing processing strategy generation module; The data receiving module is used to receive the power generation prediction value output by the power generation prediction unit (1); The CPU has multiple preset thresholds, which are used to compare the predicted power generation value with the threshold value. The crushing and processing strategy generation module is used to generate a corresponding crushing and processing strategy based on the comparison results of the predicted power generation value and the threshold. The crushing and processing strategy is used to control the working status of the coarse crushing unit (31), the fine grinding unit (32) and the fine grinding unit (33). The multi-stage crushing equipment (3) includes a coarse crushing unit (31), a fine grinding unit (32), and a fine grinding unit (33). The coarse crushing unit (31), the fine grinding unit (32), and the fine grinding unit (33) are used to coarsely crush, finely grind, and finely grind waste coal slag, respectively. The coarse crushing unit (31), the fine grinding unit (32), and the fine grinding unit (33) are also used to realize the step-by-step transfer of waste coal slag.

2. The multi-layer waste coal slag crushing system based on power generation prediction as described in claim 1, characterized in that: The training set, validation set, and test set account for 70%, 15%, and 15%, respectively.

3. The multi-layer waste coal slag crushing system based on power generation prediction as described in claim 1, characterized in that: The model optimization module uses grid search or random search methods to find the optimal hyperparameters of the prediction model determined in the model training and validation module.

4. The multi-layer waste coal slag crushing system based on power generation prediction as described in claim 1, characterized in that: The power generation prediction unit (1) also includes a deployment and monitoring module, which is used to deploy the optimized prediction model to practical applications and periodically check the deviation between the prediction results of the prediction model and the actual situation.

5. The multi-layer waste coal slag crushing system based on power generation prediction as described in claim 1, characterized in that: The coarse crushing unit (31) includes a first feed trough (311), a first gantry frame (312), and a crushing hammer (313). The feed end of the first feed trough (311) is used to receive waste coal slag. The first feed trough (311) is fixedly provided with a first portal frame (312). The top of the first portal frame (312) is fixedly installed with a telescopic drive component (314). The telescopic drive component (314) is fixedly connected to the top of the support leg (315). The bottom of the support leg (315) passes through the top of the first portal frame (312) and is connected to the crushing hammer (313), which is located above the groove surface of the first feed trough (311).

6. The multi-layer waste coal slag crushing system based on power generation prediction as described in claim 5, characterized in that: The crushing hammer (313) is cylindrical, and a plurality of protrusions (316) are evenly arranged on the surface of the cylindrical crushing hammer (313).

7. The multi-layer waste coal slag crushing system based on power generation prediction as described in claim 5, characterized in that: The fine grinding unit (32) includes a second feed trough (321), a diverting block (322), a grinding roller (323), a second portal frame (324), a limiting block (326), and a spring (327). The feed end of the second feed trough (321) is used to receive the coarsely crushed waste coal slag output from the first feed trough (311). The second feed trough (321) is fixedly provided with the second portal frame (324). The diversion block (322) is used to guide the waste coal slag in the feed trough to both sides of the diversion block (322). A bidirectional motor (328) is installed in the diversion block (322). The two drive shafts of the bidirectional motor (328) are respectively connected to a grinding roller (323). A guide rod (325) is fixedly provided on the top surface of the diversion block (322). The head end of the guide rod (325) passes through the second portal frame (324) and is fixedly connected to the limiting block (326). The guide rod (325) is fitted with a spring (327), and the two ends of the spring (327) are fixedly connected to the bottom end of the second portal frame (324) and the diverter block (322), respectively.

8. The multi-layer waste coal slag crushing system based on power generation prediction as described in claim 1, characterized in that: The fine grinding unit (33) is a grinding disc structure.

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