CN-119456182-B - Multilayer waste cinder crushing system based on generated energy prediction

CN119456182BCN 119456182 BCN119456182 BCN 119456182BCN-119456182-B

Abstract

The invention provides a multilayer waste coal slag crushing system based on power generation prediction, which relates to the technical field of thermal power generation and comprises a power generation prediction unit, a central control unit and a multi-stage crushing device, wherein the power generation prediction unit is used for predicting the power generation of a thermal power station so as to predict the yield and the volume of waste coal slag produced by the thermal power station, the central control unit is used for formulating a reasonable crushing treatment strategy according to the predicted yield and the volume of the waste coal slag and controlling the multi-stage crushing device to perform corresponding crushing treatment on the waste coal slag, the multi-stage crushing device comprises a coarse crushing unit, a fine crushing unit and a fine crushing unit, and the fine crushing unit are respectively used for performing coarse crushing, fine crushing and fine crushing treatment on the waste coal slag, and the coarse crushing unit, the fine crushing unit and the fine crushing unit are also used for realizing step-by-step transmission of the waste coal slag, so that the crushing efficiency of the waste coal slag can be improved, the running stability of a system is ensured, and energy is saved.

Inventors

LI ZHICHAO
ZHAO YANZE
WU JUN
SUN YI
ZHANG BO
ZHU SHULIANG
TANG YANFENG
ZHANG PENGFEI
XU JINYANG
FENG YAXUAN
ZHANG HONG
Xie Boxun

Assignees

华能太仓发电有限责任公司

Dates

Publication Date: 20260508
Application Date: 20241108

Claims (8)

1. The multilayer waste cinder crushing system based on the power generation amount prediction is characterized by comprising a power generation amount prediction unit (1), a central control unit (2) and a multistage crushing device (3); The generated energy prediction unit (1) is used for predicting the generated energy of the thermal power station so as to predict the output and the volume of waste coal slag produced by the thermal power station; The generating capacity prediction unit (1) comprises 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 for collecting historical power generation data, weather data, economic indexes and demographic data; the data preprocessing module is used for cleaning the data, creating new features which are helpful for generating capacity prediction based on the cleaned data, and standardizing feature data; a plurality of generating capacity prediction models are preset in the model selection module; the model training and verifying module divides the preprocessed data set into a training set, a verifying set and a testing set, evaluates the performance of each model based on the training set, the verifying set and the testing set, and determines a prediction model with highest performance; The model optimization module adjusts super parameters of the corresponding model according to the prediction model determined by the training and verifying module to obtain an optimized prediction model, and substitutes the optimized prediction model into the cleaned data to obtain predicted generated energy of the thermal power station; The central control unit (2) is used for formulating a reasonable crushing treatment strategy according to the predicted yield and volume of the waste coal slag and controlling the multi-stage crushing equipment (3) to correspondingly crush the waste coal slag; the central control unit (2) comprises a data receiving module, a CPU and a crushing processing strategy generating module; The data receiving module is used for receiving the power generation predicted value output by the power generation prediction unit (1); a plurality of thresholds are preset in the CPU and used for comparing the power generation predicted value with the threshold; the crushing treatment strategy generation module is used for generating a corresponding crushing treatment strategy according to a comparison result of the power generation predicted value and the threshold value, wherein the crushing treatment strategy is used for controlling the working states of the coarse crushing unit (31), the fine crushing unit (32) and the fine crushing unit (33); the multi-stage crushing equipment (3) comprises a coarse crushing unit (31), a fine grinding unit (32) and a fine grinding unit (33), wherein the coarse crushing unit (31), the fine grinding unit (32) and the fine grinding unit (33) are respectively used for carrying out coarse crushing, fine grinding and fine grinding treatment on waste coal slag, and the coarse crushing unit (31), the fine grinding unit (32) and the fine grinding unit (33) are also used for realizing step-by-step transmission of the waste coal slag.
2. The multi-layered waste cinder pulverizing system as defined in claim 1, wherein the training set, the validation set and the test set are respectively 70%, 15% and 15%.
3. The multi-layer waste cinder crushing system based on generating capacity prediction as set forth in claim 1, wherein the model optimizing module uses a grid search or random search method to find optimal super parameters of the prediction model determined in the model training and verifying module.
4. The multilayer waste cinder crushing system based on electricity generation amount prediction according to claim 1, wherein the electricity generation amount prediction unit (1) further comprises a deployment and monitoring module for deploying the optimized prediction model into an actual application and periodically checking deviation of a prediction result of the prediction model from an actual situation.
5. The multi-layered waste cinder pulverizing system based on the power generation amount prediction as set forth in claim 1, wherein the coarse pulverizing unit (31) includes a first passing chute (311), a first door-shaped frame (312), and a pulverizing hammer (313); the feeding end of the first passing trough (311) is used for receiving waste coal slag, the first passing trough (311) is fixedly provided with a first door-shaped frame (312), the top of the first door-shaped frame (312) is fixedly provided with a telescopic driving piece (314), and the telescopic driving piece (314) is fixedly connected with the top of the supporting leg (315); The bottoms of the supporting legs (315) correspondingly penetrate through the tops of the first door-shaped frames (312) and then are correspondingly connected with the crushing hammers (313), and the crushing hammers (313) are located above the groove surface of the first material passing groove (311).
6. The multi-layer waste cinder crushing system based on power generation amount prediction as set forth in claim 5, wherein the crushing hammer (313) is columnar, and a plurality of projections (316) are uniformly provided on the surface of the columnar crushing hammer (313).
7. The multilayer waste cinder crushing system based on power generation prediction according to claim 5, wherein the fine grinding unit (32) comprises a second passing trough (321), a split block (322), a grinding roller (323), a second door frame (324), a limiting block (326) and a spring (327), the feeding end of the second passing trough (321) is used for receiving the coarsely crushed waste cinder output by the first passing trough (311), and the second passing trough (321) is fixedly provided with the second door frame (324); The device comprises a flow dividing block (322), a limiting block (326) and a two-way motor (328), wherein the flow dividing block (322) is used for guiding waste coal slag in a trough to two sides of the flow dividing block (322), the two-way motor (328) is arranged in the flow dividing block (322), two driving shafts of the two-way motor (328) are respectively in driving connection with a grinding roller (323), a guide rod (325) is fixedly arranged on the top surface of the flow dividing block (322), and the head end of the guide rod (325) correspondingly penetrates through a second door frame (324) and is fixedly connected with the limiting block (326); The rod body of the guide rod (325) is sleeved with a spring (327), and two ends of the spring (327) are fixedly connected with the bottom end of the second door frame (324) and the shunt block (322) respectively.
8. A multi-layered waste cinder pulverizing system based on power generation prediction as set forth in claim 1, characterized in that the fine grinding unit (33) is a grinding disc structure.

Description

Multilayer waste cinder crushing system based on generated energy prediction Technical Field The invention relates to the technical field of thermal power generation, in particular to a multilayer waste cinder crushing system based on power generation prediction. Background With the development of industry, coal is one of main energy sources, and waste coal slag treatment generated in industrial places such as power plants becomes a problem to be solved urgently. The traditional waste coal slag treatment method often has the problems of high energy consumption, low efficiency, serious environmental pollution and the like. Particularly, in the present day where energy management and environmental protection requirements are increasingly strict, how to effectively utilize resources and reduce pollution becomes an important point of industry. The existing waste coal slag crushing system often cannot be accurately matched with dynamic balance between generated energy and waste slag processing capacity, so that the equipment operation efficiency is low, and even resource waste is caused. In addition, due to the lack of an effective prediction mechanism, the waste coal slag treatment system is difficult to cope with the impact caused by the fluctuation of the generated energy, and the stability and the economy of the whole production flow are further affected. Disclosure of Invention The invention aims to provide a multilayer waste cinder crushing system based on power generation quantity prediction, which can improve waste cinder crushing efficiency, ensure system operation stability and save energy. The invention is realized by the following technical scheme: A multilayer waste cinder crushing system based on power generation amount prediction comprises a power generation amount prediction unit, a central control unit and multi-stage crushing equipment; The power generation amount prediction unit is used for predicting the power generation amount of the thermal power station so as to predict the output and the volume of waste coal slag produced by the thermal power station; The central control unit is used for making a reasonable crushing treatment strategy according to the predicted yield and volume of the waste coal slag and controlling the multi-stage crushing equipment to correspondingly crush the waste coal slag; the multi-stage crushing equipment comprises a coarse crushing unit, a fine grinding unit and a fine grinding unit, wherein the coarse crushing unit, the fine grinding unit and the fine grinding unit are respectively used for carrying out coarse crushing, fine grinding and fine grinding treatment on waste coal slag, and the coarse crushing unit, the fine grinding unit and the fine grinding unit are also used for realizing step-by-step transmission of the waste coal slag. Further, the generating capacity prediction unit comprises a data collection module, a data preprocessing module, a model selection module, a model training and verifying module and a model optimizing module; The data collection module is used for collecting historical power generation data, weather data, economic indexes and demographic data; the data preprocessing module is used for cleaning the data, creating new features which are helpful for generating capacity prediction based on the cleaned data, and standardizing feature data; a plurality of generating capacity prediction models are preset in the model selection module; the model training and verifying module divides the preprocessed data set into a training set, a verifying set and a testing set, evaluates the performance of each model based on the training set, the verifying set and the testing set, and determines a prediction model with highest performance; And the model optimization module adjusts super parameters of the corresponding model according to the prediction model determined by the training and verifying module to obtain an optimized prediction model, and substitutes the optimized prediction model into the cleaned data to obtain the predicted generated energy of the thermal power station. Further, the training set, validation set and test set account for 70%, 15% and 15%, respectively. Further, the model optimization module uses a grid search or random search method to find the optimal super parameters of the prediction model determined in the model training and verifying module. Further, the electric quantity prediction unit further comprises a deployment and monitoring module, and the deployment and monitoring module is used for deploying the optimized prediction model into practical application and periodically checking deviation between a prediction result of the prediction model and practical conditions. Further, the central control unit comprises a data receiving module, a CPU and a crushing processing strategy generating module; the data receiving module is used for receiving the power generation amount predicted value output by the power generation am