CN-122015469-A - Multi-field cooperative intelligent drying system and method with self-adaptive regulation and control

CN122015469ACN 122015469 ACN122015469 ACN 122015469ACN-122015469-A

Abstract

The invention discloses a self-adaptive regulation multi-field cooperative intelligent drying system and a self-adaptive regulation multi-field cooperative intelligent drying method, wherein the system comprises a multi-field cooperative drying main machine unit, a vibration drying bed and a vibration excitation mechanism, wherein the vibration excitation mechanism is used for driving the vibration drying bed to vibrate; the device comprises an air flow supply and distribution unit, a multi-parameter online detection unit, a data acquisition and processing unit, a drying state identification unit, an adaptive control unit and an equipment health state monitoring unit, wherein the air flow supply and distribution unit is used for providing drying air with adjustable temperature and flow rate into a drying cavity, the multi-parameter online detection unit is used for acquiring and processing operation signals reflecting the state of a drying process in real time, the data acquisition and processing unit is used for acquiring and processing the operation parameters to form a characteristic parameter group, the drying state identification unit is used for identifying the drying stage where a material is located and/or predicting the change trend of the moisture content of the material based on the characteristic parameter group, the adaptive control unit is used for generating control instructions according to identification and/or prediction results, and the equipment health state monitoring unit is used for monitoring the structure of equipment or the distribution state of air and sending feedback signals to the adaptive control unit when abnormality is identified.

Inventors

WU TONG
ZHOU CHENYANG
DUAN CHENLONG
XU HUABING
Lv Daohui
ZHAO DOUDOU

Assignees

中国矿业大学

Dates

Publication Date: 20260512
Application Date: 20260407

Claims (10)

1. An adaptive regulated multi-field collaborative intelligent drying system, comprising: The multi-field cooperative drying main machine unit comprises a drying cavity, a vibration drying bed and a vibration excitation mechanism, wherein the vibration excitation mechanism is used for driving the vibration drying bed to vibrate so as to turn and convey materials; The airflow supply and distribution unit is used for providing drying air with adjustable temperature and flow rate into the drying cavity; The multi-parameter online detection unit is arranged at key positions of the drying cavity and the gas circulation channel and is used for collecting operation signals reflecting the state of the drying process in real time; The data acquisition and processing unit is connected with the multi-parameter online detection unit and is used for acquiring and processing the operation parameters to form a characteristic parameter set; the drying state identification unit is connected with the data acquisition and processing unit and is used for identifying the drying stage of the material and/or predicting the change trend of the moisture content of the material based on the characteristic parameter set; The self-adaptive control unit is connected with the drying state identification unit and is used for generating a control instruction according to the identification and/or prediction result; The execution adjusting unit is respectively connected with the vibration exciting mechanism and the air flow supply and distribution unit and is used for adjusting the vibration frequency or the vibration amplitude of the vibration drying bed, and the temperature and the flow of the drying gas according to the control instruction; The equipment health state monitoring unit is used for monitoring the equipment structure or the gas distribution state and sending a feedback signal to the self-adaptive control unit when the abnormality is identified; Wherein, each unit forms a closed-loop intelligent regulation and control system for the drying process together.
2. The adaptively controlled multi-field collaborative intelligent drying system according to claim 1, wherein the airflow supply and distribution unit comprises: The blower is arranged at the front end of the gas conveying pipeline; The air supply and storage tank is arranged at the downstream of the blower and is used for temporarily storing and stabilizing the air; The heating device is arranged at the downstream of the air supply and storage tank and is used for heating the air to a preset drying temperature; The electromagnetic valve is arranged in the gas conveying pipeline and is used for controlling the start and stop of gas supply; the gas flowmeter is arranged at the downstream of the electromagnetic valve and is used for monitoring the gas flow in real time and transmitting monitoring signals to the data acquisition and processing unit; A flow rate regulating valve arranged at the downstream of the gas flowmeter and used for accurately regulating the gas flow rate according to the control instruction, and And the recovery air storage tank is connected with the exhaust pipeline through the air recovery pipeline and is used for recovering part of the dry tail gas and conveying the part of the dry tail gas to the air supply system again, and the dry tail gas is mixed with fresh air entering the system and then enters the heating device again for heating, so that the recycling of the air is realized.
3. The adaptively modulated, multi-farm collaborative intelligent drying system according to claim 1, wherein the multi-farm collaborative drying host unit comprises: A drying cavity; a vibration drying bed arranged in the drying cavity; the vibration excitation mechanism is connected with the vibration drying bed and is used for providing periodic excitation force for the vibration drying bed; the drying bed damper is arranged between the vibration drying bed and the cross beam and is used for absorbing vibration impact; The feeder is arranged at the feeding position at the upper part of the drying cavity; the material guide plate is arranged in the material feeding area of the vibration drying bed and is used for guiding and dispersing materials; the exhaust pipeline is arranged at the upper part of the drying cavity; The discharger is arranged at the discharge end of the vibration drying bed; the air inlet cover is arranged at the bottom of the drying cavity; The first air inlet and the second air inlet are arranged between the air inlet cover and the drying cavity; The drying gas entering from the air inlet cover enters into the drying cavity through the first air inlet and the second air inlet respectively, multi-area air flow distribution is formed below the vibration drying bed and is coupled with the vibration action of the vibration drying bed, and a mixed flow drying state of vibration-air flow coupling is formed in the drying cavity.
4. The self-adaptive controlled multi-field collaborative intelligent drying system according to claim 3, wherein the multi-parameter online detection unit comprises at least one of a multi-point temperature sensor array arranged at different height positions of a drying cavity, a pressure difference sensor arranged between a gas inlet and a gas outlet, a humidity sensor arranged in an exhaust channel and an acceleration sensor arranged on a vibration excitation mechanism, and the operation signals comprise at least two of material moisture content, bed temperature, bed pressure difference, exhaust humidity and vibration state signals.
5. The self-adaptive controlled multi-field collaborative intelligent drying system according to claim 1, wherein the drying state identification unit is configured to divide a material drying process into at least two phases of a heating preheating phase, a constant-speed drying phase, a deceleration drying phase and a final moisture approximation phase, and identify and predict the material drying process by using a mechanism model, an empirical correlation model or a data driving model, and specifically includes: The method comprises the steps of carrying out preliminary prediction on the moisture content of coal particles based on a mechanism model or an experience model by a preset model adopted by the drying state identification unit, taking a preliminary prediction result as one of input characteristics, inputting the preliminary prediction result and the operation parameters of the drying process into a data driving model together, carrying out dynamic correction on the preliminary prediction result through the data driving model to obtain a final prediction result of the moisture content of the coal particles, and judging the drying state according to the final prediction result.
6. The adaptively controlled multi-field collaborative intelligent drying system according to claim 1, wherein the adaptive control unit is configured to increase gas flow and/or vibration intensity during a constant velocity drying phase and decrease gas temperature and/or vibration intensity during a deceleration drying phase.
7. The self-adaptive controlled multi-field collaborative intelligent drying system according to claim 1, wherein the self-adaptive control unit further comprises a drying rate prediction module for predicting the moisture content of the materials within a preset future time according to the variation trend of the humidity of the exhaust air, the temperature of the bed layer and the moisture content of the materials, and adjusting the control parameters in advance based on the prediction result.
8. The self-adaptive regulated multi-field collaborative intelligent drying system according to claim 1, wherein the equipment health status monitoring unit comprises vibration sensors arranged on an outer wall of a drying cavity or a supporting structure and used for judging structural status according to vibration spectrum changes, the equipment health status monitoring unit is configured to judge the status of a gas distribution device based on long-term change trend or fluctuation characteristic change of a bed pressure difference signal, and when the equipment health status monitoring unit identifies abnormality, the self-adaptive control unit is used for reducing vibration intensity and/or gas flow and outputting maintenance early warning signals.
9. The adaptively controlled, multi-field collaborative intelligent drying system according to claim 1, wherein the performance adjustment unit includes a variable frequency drive coupled to the vibration excitation mechanism and an adjustment controller coupled to the blower and the heating device to automatically reduce the gas supply or activate the discharge mechanism when the moisture content at the end of drying reaches a predetermined target value.
10. A multi-field cooperative intelligent drying method based on adaptive regulation, which is applied to the multi-field cooperative drying system based on adaptive regulation as claimed in any one of claims 1 to 9, and comprises the following steps: step S1, acquiring a multi-parameter operation signal reflecting the drying state of the material by using the multi-parameter online detection unit; S2, processing the operation signal by utilizing the data acquisition and processing unit, and extracting characteristic parameters representing the current drying state; Step S3, the drying state identification unit is utilized to identify the current drying stage of the material and/or predict the change trend of the moisture content of the material based on a preset model according to the characteristic parameters; S4, generating a control instruction by utilizing the self-adaptive control unit according to the drying stage and/or the prediction result obtained by recognition; And S5, adjusting the operation parameters of the multi-field collaborative drying system according to the control instruction by utilizing the execution adjusting unit, wherein the operation parameters comprise one or more of vibration frequency, vibration amplitude, gas temperature, gas flow and material residence time, so as to realize self-adaptive closed-loop control of the drying process.

Description

Multi-field cooperative intelligent drying system and method with self-adaptive regulation and control Technical Field The invention relates to the technical field of material drying and process intelligent control, in particular to a self-adaptive regulation multi-field cooperative intelligent drying system and a self-adaptive regulation multi-field cooperative intelligent drying method. Background The drying process is widely applied to the fields of chemical industry, food, pharmacy, material processing and the like, is typical high-energy unit operation, has complex heat and mass transfer process and multiple influencing factors, and has obvious stepwise characteristics of material moisture content change. The multi-field cooperative drying equipment can improve the heat and mass transfer conditions by introducing mechanical vibration to strengthen the material disturbance and gas-solid contact, and has better application prospect in the continuous drying process of particles and loose materials. However, the existing vibration drying or fluidization drying device mostly adopts fixed or empirically set operation parameters to operate, lacks the ability to dynamically adjust according to the change of the drying stage of the material, and is difficult to combine the drying efficiency, the energy consumption and the product quality. Meanwhile, the existing system is mainly dependent on single temperature or humidity signals for monitoring the state of the drying process, cannot comprehensively analyze the temperature distribution of the bed, pressure difference signals, vibration states and other multiple parameters, is difficult to accurately judge the change trend of the drying stage and the moisture content, and has hysteresis in control and regulation. In addition, the vibration mechanism and the gas distribution component are easy to wear, loosen or block in long-term operation, and the existing equipment lacks a health monitoring and active protection mechanism linked with process control, so that the operation stability and safety are affected. Disclosure of Invention The present invention aims to solve at least one of the technical problems in the related art to some extent. Therefore, the first aim of the invention is to provide a self-adaptive control multi-field collaborative intelligent drying system, which is used for identifying the drying stage of materials and predicting the change trend of the moisture content by collecting the moisture content, bed temperature, pressure difference, exhaust humidity and vibration signals of the materials in real time, dynamically adjusting the vibration intensity, gas temperature, gas flow and material residence time to realize staged optimal control, and simultaneously carrying out health monitoring on the key structure and gas distribution state and automatically carrying out load reduction and early warning under abnormal or abrasion trend, thereby improving the drying efficiency, reducing the energy consumption and enhancing the operation stability and safety. The second aim of the invention is to provide a multi-field cooperative intelligent drying method with self-adaptive regulation. In order to achieve the above objective, an embodiment of a first aspect of the present invention provides an adaptive-control multi-field collaborative intelligent drying system, including: The multi-field cooperative drying main machine unit comprises a drying cavity, a vibration drying bed and a vibration excitation mechanism, wherein the vibration excitation mechanism is used for driving the vibration drying bed to vibrate so as to turn and convey materials; the air flow supply and distribution unit is used for providing drying air with adjustable temperature and flow rate into the drying cavity; The multi-parameter online detection unit is arranged at key positions of the drying cavity and the gas circulation channel and is used for collecting operation signals reflecting the state of the drying process in real time; The data acquisition and processing unit is connected with the multi-parameter online detection unit and is used for acquiring and processing the operation parameters to form a characteristic parameter set; the drying state identification unit is connected with the data acquisition and processing unit and is used for identifying the drying stage of the material and/or predicting the change trend of the moisture content of the material based on the characteristic parameter set; the self-adaptive control unit is connected with the drying state identification unit and is used for generating a control instruction according to the identification and/or prediction result; The execution adjusting unit is respectively connected with the vibration exciting mechanism and the airflow supply and distribution unit and is used for adjusting the vibration frequency or the vibration amplitude of the vibration drying bed, and the temperature and the flow of the drying