CN-119702220-B - Yield control system and control method based on air quantity and air pressure of pulverizer system

CN119702220BCN 119702220 BCN119702220 BCN 119702220BCN-119702220-B

Abstract

The invention provides a capacity control system and a capacity control method based on air volume and air pressure of a pulverizer system, which are applied to the technical field of material pulverization and comprise an abnormality monitoring module, wherein the abnormality monitoring module comprises a screen abnormality monitoring unit and a low-efficiency operation monitoring unit, the screen abnormality monitoring unit is used for judging whether a screen has a blocking trend, if the screen has the blocking trend, the screen is fed back to a capacity adjusting module to reduce the feeding amount of the pulverizer, the low-efficiency operation monitoring unit is used for judging whether the pulverizer has the low-efficiency operation condition, if the pulverizer has the low-efficiency operation condition, the screen of the pulverizer is fed back to the capacity adjusting module to increase the feeding amount of the pulverizer, the abnormality monitoring module judges whether the screen of the pulverizer has the blocking trend according to real-time data acquired by a data acquisition module, and the minimum airflow required for pulverization and transportation is kept on the basis of ensuring that the screen is not blocked, and a motor of the pulverizer is enabled to operate at the maximum load at the moment, and the feeding amount of the pulverizer is adjusted to realize the maximization of the capacity.

Inventors

ME BO
ZHAO XUEFENG
WANG SHILEI
ZHAO YUNFENG
SHEN BIN
SHI BIN

Assignees

布勒(常州)机械有限公司

Dates

Publication Date: 20260512
Application Date: 20241127

Claims (10)

1. The utility model provides a productivity control system based on rubbing crusher system amount of wind pressure which characterized in that includes: The data acquisition module is used for acquiring energy consumption data, wind network operation data and material production data in the actual production process in real time; The capacity prediction module is used for calculating and obtaining a predicted value of real-time optimal capacity of the pulverizer based on the capacity prediction model according to the actual data acquired by the data acquisition module; The abnormality monitoring module comprises a screen abnormality monitoring unit and a low-efficiency operation monitoring unit; the screen abnormality monitoring unit is used for judging whether the screen of the pulverizer has a blocking trend according to the collected wind screen operation data, and if the screen has the blocking trend, the screen abnormality monitoring unit is fed back to the productivity adjusting module to reduce the feeding amount of the pulverizer; The low-efficiency operation monitoring unit is used for judging whether the pulverizer has low-efficiency operation conditions according to the collected motor energy consumption data and the collected material production data, and if the pulverizer has the low-efficiency operation conditions, the low-efficiency operation conditions are fed back to the productivity adjusting module so as to increase the feeding quantity of the pulverizer; The productivity adjusting module is used for dynamically adjusting the feeding quantity of the pulverizer according to the feedback information of the abnormality monitoring module; the abnormity monitoring module judges whether the screen cloth of the pulverizer has a blocking trend according to the real-time data acquired by the data acquisition module, and keeps the minimum airflow required by pulverization and transportation on the basis of ensuring that the screen cloth is not blocked, so that the motor of the pulverizer operates at the maximum load at the moment, and the feeding amount of the pulverizer is adjusted to realize the maximization of productivity.
2. The capacity control system based on the air volume and the air pressure of the pulverizer system according to claim 1, wherein the motor energy consumption data comprise motor current and motor voltage, the air network operation data comprise the air volume, the air pressure and the time of a test section, and the material production data comprise the actual fineness of materials and the actual yield of materials.
3. The capacity control system based on the air volume and the air pressure of the pulverizer system according to claim 1 or 2, wherein the screen abnormality monitoring unit compares the actual data of the air volume and the air pressure of the air net acquired by the data acquisition module with the screen blockage abnormality threshold, and if the actual data of the air volume and the air pressure of the air net are greater than the screen blockage abnormality threshold, judges that the current pulverizer has an abnormal tendency of screen blockage.
4. The capacity control system based on the air volume and the air pressure of the pulverizer system according to claim 1 or 2, wherein the low-efficiency operation monitoring unit compares the motor energy consumption actual data and the capacity actual data acquired by the data acquisition module with the low-efficiency production abnormal threshold, and judges that the current pulverizer has an abnormal condition of low-efficiency operation if the motor energy consumption actual data and the capacity actual data are smaller than the low-efficiency production abnormal threshold.
5. The capacity control system based on the air volume and the air pressure of the pulverizer system according to claim 1, further comprising a model optimization module, wherein the model optimization module is used for recording actual data acquired by the data acquisition module, comparing the actual yield of materials with a predicted value of the capacity prediction module, recording difference data, and performing optimization training on the capacity prediction module according to the recorded real-time data to improve the accuracy of the capacity prediction model.
6. The capacity control system based on the air volume and the air pressure of the pulverizer system according to claim 1, wherein the construction process of the capacity prediction model is that the capacity prediction model is constructed through collected sample data; the sample data comprises motor current I, wind pressure P of a wind net and wind quantity Q of the wind net, the sample data is divided into training set data and verification set data, an initial prediction model is built through the training set data, and the accuracy of the initial prediction model is verified through iterative calculation of the verification set data, so that a final productivity prediction model is obtained.
7. The capacity control system based on the air volume and the air pressure of the pulverizer system according to claim 6, wherein the capacity prediction model is built by a numerical prediction algorithm, and the specific building process is as follows: fitting a corresponding relation among motor current I, wind net wind pressure P, wind net wind quantity Q and actual yield of materials in the training set data through a data prediction algorithm to construct an initial prediction model; Setting the input variable of the capacity prediction model as [ X1, X2, X3] = [ I, P, Q ], setting the output variable as the optimal capacity predicted value Y, and calculating the optimal capacity predicted value Y by means of a ReLU activation function Wherein omega i is weight, b is bias, and the weight and bias are optimized continuously to minimize the error of the fitting result; And carrying out iterative training on the initial prediction model through verification set data to realize verification, calculating the difference between the predicted value and the actual value, and if the difference exceeds a set range, adjusting a model structure or retraining to obtain a verified model until the prediction result of the productivity prediction model meets the error requirement.
8. The capacity control method based on the air quantity and the air pressure of the pulverizer system is characterized by being suitable for the pulverizer control system comprising a screen, and specifically comprises the following steps of: acquiring energy consumption data, wind net operation data and material production data in the actual production process; according to the obtained actual data, calculating a predicted value of real-time optimal productivity of the pulverizer based on the productivity prediction model; judging whether the screen of the pulverizer has a blocking trend and whether the pulverizer has an inefficient operation condition in the actual production process, and adjusting the feeding amount of the pulverizer according to a judging result; and recording energy consumption data, wind net operation data and material production data in the actual production process, comparing the actual yield of the material with a predicted value of the optimal yield, recording difference data, and optimally training a yield prediction module according to the recorded real-time data to improve the accuracy of a yield prediction model.
9. The capacity control method based on the air volume and the air pressure of the pulverizer system according to claim 8, wherein the motor energy consumption data comprise motor current and motor voltage, the air network operation data comprise the air volume, the air pressure and the time of a test section, and the material production data comprise the actual fineness of materials and the actual yield of materials.
10. The capacity control method based on the air quantity and the air pressure of the pulverizer system according to claim 8, wherein whether the screen of the pulverizer is blocked tends is judged according to the collected air network operation data, and if the screen of the pulverizer is blocked tends, the feeding quantity of the pulverizer is reduced, and the condition that the screen is truly blocked due to the fact that the feeding quantity of the pulverizer is too large is avoided; Judging whether the pulverizer has an inefficient operation condition according to the collected motor energy consumption data and the material production data, and if the pulverizer has the inefficient operation condition, increasing the feeding amount of the pulverizer, thereby improving the working efficiency of the pulverizer.

Description

Yield control system and control method based on air quantity and air pressure of pulverizer system Technical Field The invention belongs to the technical field of material crushing, and particularly relates to a capacity control system and method based on air quantity and air pressure of a crusher system. Background As shown in fig. 1, the current material pulverizing system includes a surge bin, a feeder, a hammer mill, and a fan, and in the process of pulverizing materials, grains or coarse particulate matters are stored in the surge bin above the hammer mill, discharged through the feeder, and fed into an air stream, and enter the hammer mill. The material collides with the hammer at a speed of up to 110 m/s in a non-elastic way, particles hit by the hammer burst into a group of tiny dust and moisture, destructive energy and heat are generated by the collision, air is heated due to energy dissipation, evaporated moisture is absorbed by the air, fine dust and moisture are taken away by a specified airflow, and larger particles rebound back from the screen and are impacted again. During this process, products with high fat content can cause clogging of the screen apertures, increasing drag, reducing airflow and causing temperature increases. The increase in temperature causes an increase in product elasticity, which reduces grinding efficiency and increases the temperature further. In actual production, when the working efficiency of the pulverizer is lower, an operator increases the material entering the pulverizing cavity by experience, but due to the fact that the characteristics of the processed material are different, the accuracy is low, the screen can be blocked, the pulverizer is stopped abnormally, the whole production line is stopped, the production efficiency is reduced, the productivity is unstable, and the like, and the productivity is difficult to optimize in real time. Disclosure of Invention In view of the above problems in the prior art, the present invention aims to provide a capacity control system based on the air volume and the air pressure of a pulverizer system, which determines whether a screen has a blocking trend by monitoring the air volume and the air pressure of an air net, and maintains minimum airflow required for pulverizing and transporting while ensuring that the screen is not blocked, and operates with the maximum load of a motor at the moment, so as to maximize the capacity. An energy production control system based on pulverizer system air volume and air pressure, comprising: The data acquisition module is used for acquiring energy consumption data, wind network operation data and material production data in the actual production process in real time; The capacity prediction module is used for calculating and obtaining a predicted value of real-time optimal capacity of the pulverizer based on the capacity prediction model according to the actual data acquired by the data acquisition module; The abnormality monitoring module comprises a screen abnormality monitoring unit and a low-efficiency operation monitoring unit; the screen abnormality monitoring unit is used for judging whether the screen of the pulverizer has a blocking trend according to the collected wind screen operation data, and if the screen has the blocking trend, the screen abnormality monitoring unit is fed back to the productivity adjusting module to reduce the feeding amount of the pulverizer; The low-efficiency operation monitoring unit is used for judging whether the pulverizer has low-efficiency operation conditions according to the collected motor energy consumption data and the collected material production data, and if the pulverizer has the low-efficiency operation conditions, the low-efficiency operation conditions are fed back to the productivity adjusting module so as to increase the feeding quantity of the pulverizer; The productivity adjusting module is used for dynamically adjusting the feeding quantity of the pulverizer according to the feedback information of the abnormality monitoring module; the abnormity monitoring module judges whether the screen cloth of the pulverizer has a blocking trend according to the real-time data acquired by the data acquisition module, and keeps the minimum airflow required by pulverization and transportation on the basis of ensuring that the screen cloth is not blocked, so that the motor of the pulverizer operates at the maximum load at the moment, and the feeding amount of the pulverizer is adjusted to realize the maximization of productivity. Preferably, the motor energy consumption data comprise motor current and motor voltage, the wind network operation data comprise wind quantity, wind pressure and time of a test section, and the material production data comprise actual fineness and actual yield of materials. Preferably, the screen mesh abnormality monitoring unit compares the wind pressure and the wind volume actual data of the wind network acquired