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CN-122015476-A - Infrared hot air cooperative drying control method based on uniformity driving cooperative control framework

CN122015476ACN 122015476 ACN122015476 ACN 122015476ACN-122015476-A

Abstract

The invention provides an infrared hot air cooperative drying control method based on a uniformity driving cooperative control framework, which comprises the steps of obtaining temperature and moisture content states on a unified cavity coordinate grid, generating a plurality of groups of infrared power and hot air temperature/air volume alternatives according to a zoned adjustable range and mapping the alternatives into an equipment action boundary diagram, inputting a current state and the boundary diagram into a prediction network comprising space coordinate coding, infrared small neighborhood convolution, hot air fusion construction function and large neighborhood convolution and field propagation to obtain future temperature and moisture content distribution, sequencing according to uniformity evaluation values under the constraint of the highest allowable temperature, target moisture content and adjustable range and optimizing according to combined energy consumption related quantity when the two are in parallel, generating and issuing zoned instructions and infrared hot air occupation ratio, periodically collecting and updating to form a closed loop, and realizing the cooperative and spatial alignment prediction and reproducible mapping of infrared and hot air, improving the drying uniformity and guaranteeing the control consistency under the constraint of a threshold.

Inventors

  • ZHU YINGCHUN
  • GUO LEI
  • WANG FUHUA
  • WU WEIYU
  • XIA TIAN

Assignees

  • 江苏兴泰热力有限公司

Dates

Publication Date
20260512
Application Date
20260302

Claims (9)

  1. 1. The infrared hot air cooperative drying control method based on the uniformity driving cooperative control framework is characterized by comprising the following steps of: S1, acquiring temperature distribution and water content distribution of materials in a drying cavity to form a current material state diagram, and acquiring space layout and respective adjustable ranges of an infrared partition and a hot air partition to form equipment adjustable parameters; S2, generating a plurality of groups of alternative control schemes of infrared partition power and hot air partition air temperature air quantity according to equipment adjustable parameters, and mapping each alternative control scheme to a drying cavity coordinate according to space layout to form a corresponding equipment action boundary diagram; S3, inputting a current material state diagram and a device action boundary diagram corresponding to an alternative control scheme into a space-time neural field drying evolution prediction network to obtain corresponding future temperature distribution and future moisture content distribution, wherein the space-time neural field drying evolution prediction network comprises a space coordinate input unit, an infrared action input unit, a hot air action input unit and a field evolution output unit, the space coordinate input unit generates position characteristics, the infrared action input unit and the hot air action input unit respectively generate boundary characteristics, and the field evolution output unit combines the position characteristics with the boundary characteristics and then outputs the future temperature distribution and the future moisture content distribution; S4, calculating a uniformity evaluation value according to future temperature distribution and future water content distribution corresponding to the alternative control scheme, screening the alternative control scheme by combining an adjustable range defined by an equipment action boundary diagram under the constraint of a highest allowable temperature threshold and a target water content threshold, and determining an execution control instruction, wherein the execution control instruction comprises infrared partition power, hot air partition air temperature air quantity and infrared hot air duty ratio; S5, issuing an execution control instruction to the infrared partition heater and the hot air partition fan for execution, and acquiring new temperature distribution and new water content distribution at the end of a control period to form an updated material state diagram; s6, calculating an actual measurement uniformity evaluation value according to the updated material state diagram, forming a drying completion judgment when the new water content distribution meets the target water content threshold and the actual measurement uniformity evaluation value is smaller than the uniformity threshold, and regenerating an alternative control scheme based on the updated material state diagram and determining an execution control instruction when the new water content distribution does not meet the target water content threshold.
  2. 2. The infrared hot air cooperative drying control method based on the uniformity driving cooperative control framework of claim 1, wherein S1 specifically comprises: The method comprises the steps of obtaining partition temperature, partition power and emission array state of each partition of infrared drying equipment, and respectively forming partition temperature vectors, partition power vectors and emission array state vectors according to the number of the partitions; The method comprises the steps of obtaining the speed and the air quantity of a conveyor belt, and obtaining the temperature of a material inlet, the moisture content of the material inlet, the temperature of a material outlet and the moisture content of the material outlet, wherein the current state of the equipment process is formed by a partition temperature vector, a partition power vector, a transmitting array state vector, the air quantity, the speed of the conveyor belt, the temperature of the material inlet, the moisture content of the material inlet, the temperature of the material outlet and the moisture content of the material outlet; Calculating a material partition arrival sequence table according to the partition adjacent sequence and partition coverage length of the infrared drying equipment and combining the speed of the conveyor belt, and aligning the material partition arrival sequence table with the current state of the equipment process; the partition power vector, the conveyor belt speed and the air quantity form an actual control quantity, and the current state and the actual control quantity of the equipment process are used as the input of a dynamic evolution digital twin model.
  3. 3. The infrared hot air cooperative drying control method based on the uniformity driving cooperative control framework of claim 1, wherein S2 is specifically: Determining a partition coverage area under a dry cavity coordinate according to the space layout of the infrared partition and the hot air partition, and converting the partition coverage area into a partition coverage grid mark which adopts the same grid line number and grid column number as the current material state diagram; generating multi-gear candidate set values for each infrared partition and each hot air partition respectively according to the infrared partition power adjustable range, the hot air partition air temperature adjustable range and the hot air partition air volume adjustable range in the equipment adjustable parameters, and combining the partition candidate set values according to the partition adjacent sequence to form a plurality of groups of alternative control schemes; determining an infrared hot air ratio for each alternative control scheme, wherein the infrared hot air ratio is calculated by the combination relation of the infrared partition power and the hot air partition air temperature air quantity in the alternative control scheme, and binding the infrared hot air ratio with the alternative control scheme; Mapping a single alternative control scheme to a drying cavity coordinate according to a partition coverage grid mark, and writing partition set values falling into the same grid position according to partition coverage priorities to obtain the distribution of infrared partition power on the drying cavity coordinate, the distribution of hot air partition wind temperature on the drying cavity coordinate and the distribution of hot air partition wind quantity on the drying cavity coordinate; Overlapping the distribution of the infrared partition power on the coordinates of the drying cavity, the distribution of the hot air partition wind temperature on the coordinates of the drying cavity and the distribution of the hot air partition wind quantity on the coordinates of the drying cavity according to channels to form an equipment action boundary diagram, and enabling the equipment action boundary diagram to be used as a space alignment input of an infrared action input unit and a hot air action input unit; And repeatedly executing the partition coverage grid identification mapping and the equipment action boundary diagram generation on all the alternative control schemes, obtaining an equipment action boundary diagram set corresponding to the alternative control schemes, and outputting the equipment action boundary diagram set to the space-time neural field drying evolution prediction network.
  4. 4. The infrared hot air cooperative drying control method based on the uniformity driving cooperative control framework of claim 1, wherein S3 specifically comprises: generating a space coordinate graph according to grid line numbers and grid column numbers, wherein each grid position of the space coordinate graph comprises a transverse coordinate and a longitudinal coordinate and corresponds to the grid position of the current material state graph; Inputting the space coordinate graph into a space coordinate input unit, and encoding the space coordinate graph to obtain a position feature graph, so that the position feature graph is aligned with each grid position in the drying cavity; The infrared partition power distribution in the equipment action boundary diagram is input into an infrared action input unit on the drying cavity coordinates, and a small neighborhood convolution layer stack is adopted to generate an infrared boundary characteristic diagram, so that the infrared boundary characteristic diagram represents the space action of infrared radiation in a local coverage range; the method comprises the steps of inputting the distribution of hot air partition air temperature and hot air partition air quantity in an equipment action boundary graph on a drying cavity coordinate into a hot air action input unit, stacking large neighborhood convolution layers to generate a hot air boundary feature graph, and aligning the channel dimension of the hot air boundary feature graph to the channel dimension of an infrared boundary feature graph; inputting a current material state diagram into an initial state coding layer, performing convolution coding on the current material state diagram to generate an initial state characteristic diagram, and enabling the initial state characteristic diagram to characterize the space initial state of the current temperature distribution and the current water content distribution; Inputting the position feature map, the infrared boundary feature map, the hot air boundary feature map and the initial state feature map into a field evolution output unit, performing channel splicing to form a fusion feature map, and inputting the fusion feature map into a field propagation layer for space coupling propagation and outputting the propagated feature map; And (3) inputting the propagated characteristic map into an output layer, and obtaining a predicted output map by adopting point-by-point convolution mapping, wherein the predicted output map comprises two channels of future temperature distribution and future water content distribution, and respectively executing the input and reasoning on the equipment action boundary map corresponding to each alternative control scheme to obtain the future temperature distribution and the future water content distribution corresponding to the alternative control scheme.
  5. 5. The infrared hot air collaborative drying control method based on a uniformity driving collaborative control architecture according to claim 4, wherein when a hot air action input unit is input with a distribution of hot air partition air temperature and a distribution of hot air partition air volume on a drying cavity coordinate in an equipment action boundary diagram, a construction function is adopted to process the hot air partition air temperature and the hot air partition air volume into inputs of the hot air action input unit, wherein the construction function is specifically as follows: ; Wherein, the The hot air fusion input diagram is shown in the first Line 1 The number of column grid positions, Representing grid line index and value range To the point of , Representing the grid column index and the value range To the point of , Representing a boundary map of device actions The distribution channels of the hot air partition wind temperature on the coordinates of the drying cavity are arranged at grid positions Is used for controlling the air temperature value of the air conditioner, Representing a boundary map of device actions The distribution channels of the hot air partition air quantity on the coordinates of the drying cavity are arranged at grid positions Is used for controlling the air quantity value of the air conditioner, The global minimum wind temperature of the hot air partition wind temperature adjustable range defined by the adjustable parameters of the equipment is represented, The global maximum wind temperature of the hot wind partition wind temperature adjustable range defined by the adjustable parameters of the equipment is represented, The global minimum air quantity of the hot air partition air quantity adjustable range defined by the adjustable parameters of the equipment is represented, The global maximum air quantity of the hot air partition air quantity adjustable range defined by the equipment adjustable parameters is represented, Representing a preset weight coefficient of the spatial variation of the air quantity of the hot air, and adjusting the contribution of the air quantity variation at the position of the adjacent grid to the hot air fusion input graph when 、 、 、 When the grid position is out of range, the grid position is corresponding to the out of range grid position The value is replaced by 。
  6. 6. The infrared hot air cooperative drying control method based on the uniformity driving cooperative control architecture according to claim 1, wherein S4 specifically is: Taking the alternative control scheme as an index, respectively reading future temperature distribution and future water content distribution corresponding to the alternative control scheme, and reading a device action boundary diagram corresponding to the alternative control scheme as an adjustable range constraint input; executing highest allowable temperature threshold constraint judgment on the future temperature distribution, extracting a predicted highest temperature value in a point-by-point traversing mode of grid positions of the future temperature distribution, and eliminating an alternative control scheme with the predicted highest temperature value being greater than the highest allowable temperature threshold; executing target water content threshold constraint judgment on the future water content distribution, extracting a predicted highest water content value in a point-by-point traversing mode of grid positions of the future water content distribution, and eliminating an alternative control scheme with the predicted highest water content value being larger than the target water content threshold; Executing adjustable range consistency judgment on an alternative control scheme constrained by a threshold value, comparing the distribution of infrared partition power on a drying cavity coordinate, the distribution of hot air partition wind temperature on the drying cavity coordinate and the distribution of hot air partition wind quantity on the drying cavity coordinate in a device action boundary diagram with the upper limit and the lower limit defined by the adjustable parameter of the device point by point respectively, and eliminating the alternative control scheme with out-of-range grid positions; Calculating a uniformity evaluation value according to an alternative control scheme of consistency judgment, calculating temperature space dispersion according to future temperature distribution to obtain a temperature uniformity sub-index, calculating moisture content space dispersion according to future moisture content distribution to obtain a moisture content uniformity sub-index, and synthesizing the temperature uniformity sub-index and the moisture content uniformity sub-index into the uniformity evaluation value according to preset weights; Sorting the screened alternative control schemes by taking the uniformity evaluation value as a sorting key, selecting the alternative control scheme with the smallest uniformity evaluation value as a target alternative control scheme, and selecting the target alternative control scheme with smaller combined energy consumption related quantity of the infrared partition power and the hot air partition wind temperature wind quantity under the condition that the uniformity evaluation values are the same; The target alternative control scheme is converted into an execution control command, the execution control command comprises infrared partition power and hot air partition air temperature air quantity consistent with the target alternative control scheme, and the execution control command is output after the infrared hot air ratio is determined according to the combination relation of the infrared partition power and the hot air partition air temperature air quantity in the target alternative control scheme.
  7. 7. The infrared hot air cooperative drying control method based on a uniformity driving cooperative control architecture according to claim 6, wherein when a uniformity evaluation value is calculated for an alternative control scheme constrained by a threshold, an optimization function is adopted to overlap a temperature uniformity sub-index and a moisture content uniformity sub-index into the uniformity evaluation value according to a preset weight, wherein the optimization function is specifically as follows: ; Wherein, the Representing alternative control schemes Is used for evaluating the uniformity of the image, Indicating the sub-index of temperature uniformity and corresponding to the above formula The weighted bracket terms of the weight of the bracket terms, Indicating the uniformity sub-index of the water content and corresponding to the formula of the above formula The weighted bracket terms of the weight of the bracket terms, A preset weight representing a sub-indicator of temperature uniformity, A preset weight representing a moisture content uniformity sub-index, Representing the number of grid rows, Representing the number of columns of the grid, Representing the grid row index, Representing the grid column index, And (3) with Represents a traversal index for calculating the mean value of the grid, Indicating future temperature distribution at grid location Is used for the temperature value of the (c) in the air, Indicating the distribution of the water content in the grid position in future Is used for the water content value of the water-based paint, Indicating the highest allowable temperature threshold value, The target water cut threshold value is represented, A preset weight coefficient representing a temperature adjacent differential term, Preset weight coefficient representing adjacent differential term of water content, when index Or (b) When the grid position is out of range, the grid position is corresponding to the out of range grid position Or (b) The value is replaced by Or (b) 。
  8. 8. The infrared hot air cooperative drying control method based on the uniformity driving cooperative control framework of claim 1, wherein S5 specifically is: analyzing the execution control instruction into infrared partition power, hot air partition wind temperature and wind quantity and infrared hot air duty ratio, respectively issuing the infrared partition power to corresponding infrared partition heaters, and respectively issuing the hot air partition wind temperature and wind quantity to corresponding hot air partition fans; The infrared partition heater and the hot air partition fan are driven to output according to the execution control instruction in the control period, so that the infrared action and the hot air action in the drying cavity are kept consistent with the execution control instruction; Acquiring new temperature distribution and new water content distribution at the end of the control period, and mapping the new temperature distribution and the new water content distribution to grid line numbers and grid column numbers consistent with the current material state diagram according to the coordinates of the drying cavity; And superposing the mapped new temperature distribution and the new water content distribution according to the channel to form an updated material state diagram, and taking the updated material state diagram as the input of a subsequent regeneration alternative control scheme and a predicted future temperature distribution and a predicted future water content distribution.
  9. 9. The infrared hot air cooperative drying control method based on the uniformity driving cooperative control architecture according to claim 1, wherein step S6 is specifically: Splitting the updated material state diagram according to channels to obtain new temperature distribution and new water content distribution, extracting the actually measured highest water content value of the new water content distribution in a point-by-point traversing mode, and calculating an actually measured uniformity evaluation value based on the new temperature distribution and the spatial dispersion of the new water content distribution on grid positions; Constraint judgment is carried out on the actually measured highest water content value and the target water content threshold value, constraint judgment is carried out on the actually measured uniformity evaluation value and the uniformity threshold value, and drying completion judgment is formed when the target water content threshold value and the uniformity threshold value are simultaneously met; When the drying completion judgment is not formed, generating an alternative control scheme by taking the updated material state diagram as a current material state diagram, generating a device action boundary diagram corresponding to the alternative control scheme, inputting the current material state diagram and the device action boundary diagram into a space-time neural field drying evolution prediction network to obtain future temperature distribution and future water content distribution, and screening and determining an execution control instruction according to uniformity evaluation values under the constraint of a highest allowable temperature threshold and a target water content threshold.

Description

Infrared hot air cooperative drying control method based on uniformity driving cooperative control framework Technical Field The invention relates to the technical field of drying process control, in particular to an infrared hot air cooperative drying control method based on a uniformity driving cooperative control framework. Background Infrared and hot air co-drying is widely applied to belt type and box type equipment for dehydrating and heating continuous or batch materials. The equipment generally divides a plurality of subareas along the conveying direction, respectively adjusts infrared power, hot air temperature and amount of wind to adapt to the initial temperature and humidity state and the conveying speed of the materials. On the premise of guaranteeing the highest allowable temperature and the target water content, the spatial distribution uniformity of the temperature and the water content in the cavity is required to be concerned, and a spatial representation and traceable control link consistent with the area array observation data is established. The actual process is affected by equipment layout, partition coverage length, arrival residence time sequence and the like, and local overheating or water content residence is easy to generate. The prior art mostly adopts partition level control combined with experience setting, namely, PID (proportion integration differentiation) or feedforward control of power, air temperature and air quantity is configured in infrared and hot air partitions, gear switching and sequential control are carried out by referring to inlet/outlet measurement and conveyor belt speed, a part of schemes are introduced into a simplified heat and mass transfer model or digital twin, the temperature and water content states are maintained at the partition scale, a control scheme is generated through a predefined infrared/hot air ratio and partition setting table, the functions are exerted on a cavity according to the partition coverage range, and the indexes such as average temperature, average water content and the like are evaluated and switched. In addition, the common scheme uses a rule base to set an infrared array switch or duty ratio, fan and air valve opening and a heating unit, and combines arrival/residence time calculation to realize time sequence coordination, keeps output in a control period and collects observation data at the end of the period for the next round of adjustment. The scheme generally lacks the device action boundary expression aligned with the material state space, write-in conflict processing is inconsistent when the subarea coverage is overlapped, and the action effect is difficult to evaluate on a unified grid. The partition or whole model is difficult to provide grid-level future temperature and humidity field evolution, and lacks an optimal mechanism taking spatial uniformity as a core under the constraint of the highest temperature and the target water content. The execution period also lacks clear constraint of the cooperative ratio of infrared and hot air, which results in insufficient consistency between decision making and landing. Therefore, an infrared hot air cooperative drying control method capable of solving the defects of the prior art is a problem which needs to be solved by the person skilled in the art. Disclosure of Invention The application aims to provide an infrared hot air cooperative drying control method based on a uniformity driving cooperative control framework, which aims to solve the core technical problems that how to accurately map adjustable parameters and spatial layout of equipment partitions into action boundaries aligned with material state grids in an infrared hot air cooperative drying scene, develop space-time evolution prediction and uniformity driving constraint optimization according to the action boundaries, select reproducible consistent control schemes and perform closed loop iteration until temperature and water content thresholds are met. According to the embodiment of the invention, the infrared hot air cooperative drying control method based on the uniformity driving cooperative control framework comprises the following steps: S1, acquiring temperature distribution and water content distribution of materials in a drying cavity to form a current material state diagram, and acquiring space layout and respective adjustable ranges of an infrared partition and a hot air partition to form equipment adjustable parameters; S2, generating a plurality of groups of alternative control schemes of infrared partition power and hot air partition air temperature air quantity according to equipment adjustable parameters, and mapping each alternative control scheme to a drying cavity coordinate according to space layout to form a corresponding equipment action boundary diagram; S3, inputting a current material state diagram and a device action boundary diagram corresponding to an alternative control scheme into a