174 results about "Moisture distribution" patented technology

The invention relates to the technical field of environment regulation, in particular to a corn cultivation environment intelligent regulation method based on multi-sensor control, which comprises the following steps: S1, generating a soil moisture three-dimensional distribution diagram in real time through humidity sensor arrays arranged at different depths of a corn root zone; s2, combining infrared temperature data of the canopy and the three-dimensional distribution diagram of the soil moisture, and calculating a moisture motion mismatch degree through transpiration-permeation conduction collaborative analysis; s3, generating a user-defined irrigation mode based on the water movement mismatch degree, and controlling the irrigation duration, the stop interval and the water flow rate. According to the method, coupling modeling is carried out on the plant physiological water demand behavior and the soil moisture supply characteristic, the limitation that a traditional irrigation system only depends on a soil humidity threshold value or meteorological index judgment is broken through, and the biological adaptability and the aging responsiveness of field moisture regulation and control are improved.

The present invention discloses a GNSS-R soil moisture inversion method for mountainous areas that integrates a terrain moisture index. The method comprises the following steps: obtaining remote sensing data from target mountainous areas other than water bodies and soil moisture data from each observation station; selecting altitude, slope, aspect, longitude and latitude, vegetation index, clay content, and signal-to-noise ratio as influencing factors for soil moisture inversion in mountainous areas; calculating the corrected signal-to-noise ratio and terrain moisture index; constructing a mountainous area soil moisture inversion model, training it, and validating it; inputting a test set into the trained model to obtain daily soil moisture prediction data with a 1km resolution, taking the monthly average, and obtaining monthly soil moisture prediction data. The present invention's integration of the terrain moisture index with CYGNSS data can fully leverage the advantages of terrain factors and remote sensing technology, further improving the accuracy of soil moisture distribution and the ability to predict spatiotemporal changes, and better revealing the dynamic changes in soil moisture in complex terrain areas such as mountainous areas.

The invention relates to the technical field of carbon flux monitoring, and particularly discloses a carbon flux monitoring method and system based on soil drought remote sensing data, and the method comprises the steps: respectively collecting soil humidity remote sensing data and a soil vegetation coverage remote sensing image through a microwave sensor and an optical remote sensing sensor; performing resampling on the soil humidity remote sensing data and the soil vegetation coverage remote sensing image to realize spatial resolution alignment, and performing spatial distribution feature extraction on the soil humidity remote sensing data and the soil vegetation coverage remote sensing image after spatial alignment by adopting a deep learning algorithm; and pixel-level significance enhancement and fusion processing are carried out on the captured soil humidity distribution characteristics and vegetation distribution characteristics, so that nonlinear modeling of a dynamic influence mechanism of the soil drought degree on the vegetation growth state is realized, and intelligent estimation of the carbon flux is realized on the basis. In this way, the nonlinear regulation and control effect of soil drought stress on vegetation respiration and photosynthesis can be effectively described, and the efficiency and coverage range of carbon flux monitoring are improved.

The invention relates to the technical field of civil engineering, and discloses a road subgrade settlement prediction method and system based on multi-source data. The method comprises the following steps: acquiring and correcting a precipitation sequence and roadbed soil moisture distribution data; analyzing rainfall accumulation characteristics and carrying out penetration risk classification, thereby extracting a penetration depth estimation value, and utilizing finite element analysis to simulate a soil body saturation state change trend; quantifying a soil body supporting capacity reduction range, constructing and calibrating a settlement initiation probability calculation model, and obtaining settlement probability distribution; identifying a high-risk evolution area, integrating path weights and accumulated influence factors, and generating a settlement prediction interval subjected to multi-dimensional verification; and fusing the prediction interval and actual roadbed structure data through a geographic information system to generate a comprehensive evaluation report. According to the method, the whole-process accurate evaluation of the roadbed settlement risk from multi-source perception, mechanism simulation to space prediction is realized, and the accuracy and timeliness of the roadbed settlement risk prediction and the pertinence of engineering maintenance are improved.

The invention provides a monascus drying degree real-time control method which comprises the following steps: monitoring the surface moisture content, internal metabolic activity index and pigment content change of mycelium in a monascus drying process, and generating a mycelium state distribution diagram; extracting moisture gradient characteristics and metabolic activity parameters from the mycelium state distribution diagram, analyzing a relationship between a moisture evaporation rate and mycelium activity, and determining a dynamic trend of moisture gradient and activity change; analyzing the dynamic trend of the moisture gradient and the activity change, determining the relationship between the moisture gradient and the activity change through a fitting curve, and predicting the change trend of the moisture and the activity of the mycelium in different drying stages; aiming at a moisture distribution non-uniformity index, the uniform distribution of heat in the red yeast rice is improved by optimizing an air supply mode, so that the moisture evaporation rate deviation is reduced, and a temperature and humidity control sequence is obtained.

The invention provides an ice and snow field snow melting early warning and intelligent snow removal scheduling method, which comprises the following steps: acquiring wet snow water content, snow layer density abnormity and field climate difference data through a multi-source sensor; the method comprises the following steps: performing primary processing on original data acquired by radar detection, infrared imaging and a micro weather station to obtain an initial distribution map of wet snow characteristics and local weather conditions; and according to the corrected wet snow characteristic distribution map, in combination with the initial distribution map and temperature influence factors and melting rate fluctuation characteristics obtained by data analysis of the micro meteorological station, aiming at equipment thrust loss and working surface friction loss, correcting acquisition deviation of multi-source sensor data, and obtaining a dynamic update map of the snow accumulation state in the risk area.

The invention provides a method for analyzing tobacco leaf moisture migration characteristics based on an LF-NMR technology, and belongs to the technical field of electric digital data processing. The method comprises the following steps: carrying out standardized sample pretreatment, measuring a moisture state through low-field nuclear magnetic resonance, establishing a moisture migration dynamic model, calculating a moisture diffusion coefficient matrix, constructing a moisture loss prediction model, adjusting migration parameters by applying a moisture diffusion optimization function, and analyzing whole-leaf moisture distribution by applying a neural network model of a multi-scale attention mechanism. And carrying out different temperature gradient experiments, analyzing the moisture migration difference between the main vein and mesophyll tissues, verifying the accuracy of the prediction model and the like, thereby realizing accurate quantitative analysis on the migration dynamic characteristics of the tobacco leaf moisture in different microstructures. According to the method, the low-field nuclear magnetic resonance technology, the moisture diffusion theory and deep learning are combined, the migration characteristic of moisture in the tobacco leaf microstructure is accurately recognized, and a scientific basis is provided for tobacco leaf curing process optimization.

The invention discloses a method and device for testing moisture migration in the frost heaving and thaw collapse process of fiber cement soil based on low-field nuclear magnetic resonance, and relates to the field of cement soil testing engineering.The method comprises the steps that T2 spectrums of the whole freezing process and the whole thawing process of a fiber cement soil sample are obtained; inverting a three-dimensional moisture distribution diagram of the whole freezing process and the whole melting process of the fiber cement soil sample according to the T2 spectrum; and determining moisture migration conditions of the whole freezing process and the whole melting process of the fiber cement soil sample according to the three-dimensional moisture distribution diagrams of the whole freezing process and the whole melting process of the fiber cement soil sample. According to the method, T2 spectrum data is mapped to a three-dimensional space position on the basis of a nuclear magnetic resonance (NMR) signal gradient positioning technology, and a pixel-level three-dimensional moisture distribution diagram of a fiber cement soil sample is obtained by performing data inversion on a T2 spectrum, so that pixel-level moisture migration conditions in the freezing process and the melting process of the fiber cement soil are visualized.

The invention belongs to the technical field of soil moisture monitoring, and discloses a soil moisture monitoring system and method, and the method comprises the steps that a radar monitoring unit obtains soil moisture distribution data; the meteorological data acquisition unit acquires meteorological data in real time; the route planning unit plans the optimal flight route of the unmanned aerial vehicle of the cruise monitoring unit; the cruise monitoring unit performs cruise monitoring according to the planned route; the radar data analysis unit identifies abnormal conditions of soil moisture; the image data analysis unit recognizes the abnormal condition of soil moisture; the infrared data analysis unit identifies the abnormal condition of soil moisture; and the comprehensive analysis unit comprehensively analyzes and predicts potential risk problems. By accurately setting the hovering detection position, it is ensured that the unmanned aerial vehicle efficiently covers the monitoring area, and on-site key detection is conducted on the key area; and the comprehensive analysis unit combines a multi-source monitoring result with meteorological and historical data, deeply mines association among the data, confirms abnormal conditions of soil moisture, and predicts potential risk problems.

The invention discloses a meat quality internal moisture detection device, and relates to the technical field of meat moisture near-infrared detection, the meat quality internal moisture detection device comprises a detection unit, the detection unit comprises a near-infrared probe, and the detection unit further comprises a processing unit, the processing unit is arranged at the side part of the near-infrared probe; the processing unit comprises a detection cylinder. After the inserting sleeve is inserted into the meat paste, the rotating cylinder and the top shell are withdrawn, and the possibility that the meat paste collapses inwards, namely the original rotating cylinder position, after the rotating cylinder is taken down is reduced through constraint of the inserting sleeve on the meat paste, and collapse gaps in the meat paste are reduced; the near-infrared probe performs multi-point detection in the detection strip, the insertion sleeve and the inner groove, so that moisture distribution at different depths of meat paste can be covered under multi-point detection on the inside, the outside and the top of the meat paste, local errors caused by non-uniformity of minced meat and whole meat blocks are avoided, and internal moisture detection of meat is more accurate.

The invention relates to a method and system for gradient drying of butyronitrile gloves after impregnation in the field of intelligent manufacturing, and the method comprises the steps: obtaining surface and internal moisture content data of an adhesive film through a sensor array, generating a real-time moisture distribution matrix, and determining a moisture gradient change trend; if the moisture gradient change trend exceeds a preset threshold value, calculating a local moisture evaporation rate according to the distribution matrix to obtain a dynamic temperature and humidity regulation and control parameter; obtaining an adhesive film surface image through a high-resolution imaging system, detecting micro-crack and white point defect areas, and determining defect distribution characteristics; adjusting power distribution of the composite heating system according to the lowest energy consumption operation parameters, and generating an efficient drying operation mode; updating data of the dynamic regulation and control parameters and the defect distribution characteristics are obtained through a feedback control algorithm, and final drying process parameters are determined; and generating a production control instruction from the final drying process parameters, and outputting the production control instruction to a drying equipment controller to finish uniform diffusion of moisture of the adhesive film and elimination of surface defects.

The invention relates to the technical field of food, in particular to anti-caking infant formula milk powder and a preparation method thereof. On the basis of the existing infant formula milk powder, the production process is improved, the average particle size of the milk powder is effectively increased by pre-crystallizing lactose in the proportioning process and optimizing the solid content of concentrated milk in the production, and the milk powder is prepared by further controlling the parameters such as the air inlet temperature, the air exhaust temperature and the secondary drying temperature of a fixed fluidized bed. The water distribution state and the existence form in the infant formula milk powder are obviously improved, and the proportion of free water is reduced, so that the glass-transition temperature (Tg) of the milk powder is increased, and finally, the anti-caking capability of the infant formula milk powder is effectively improved.

The invention discloses a transformer oil paper insulation moisture distribution test and balance curve correction method based on an electric field and temperature coupling effect, and aims at overcoming the defects of a traditional method in the aspects of temperature field calculation, moisture detection and insulation evaluation. The defects of a traditional temperature field, moisture detection and insulation evaluation are overcome, a simulation device and multiple sets of samples are constructed in experiment preparation, moisture testing is accurate through a specific instrument method, data collection and analysis are scientific, parameters are set, and algorithm architecture processing is applied. An electric field temperature coupling model is established and optimized according to a large amount of data, and moisture is evaluated and parameters can be adjusted according to operating parameters during application. The method can accurately calculate a temperature field, accurately detect moisture, effectively evaluate insulation, provide reliable guidance for operation and maintenance of a transformer and guarantee stability of an electric power system in multi-scene detection of urban center substations, wind power plant booster stations, factory distribution rooms and the like, and is high in practical value and wide in prospect.

The invention belongs to the technical field of intelligent moisture control of filter press filter plates and filter cakes, and relates to an intelligent moisture control method of a filter press filter plate and a filter cake integrated with a high-voltage-resistant electrode array. The method comprises the following steps: embedding a high-voltage-resistant electrode array into the surface of a filter plate, and detecting an electrical impedance parameter of each region in a filter cake forming process in real time; reconstructing water distribution in the filter cake in real time and generating a dynamic image by using the electrical impedance data of the plurality of groups of electrode pairs; meanwhile, establishing a mathematical model between the electrical impedance and the water content of the filter cake to obtain the real-time water content of the filter cake; and according to the moisture distribution image and the moisture content data, dynamically adjusting the parameters of the filter press through a closed-loop feedback system to realize accurate control of the moisture content of the filter cake.

The invention discloses a mountain area GNSS-R soil humidity inversion method fused with a terrain humidity index. The method comprises the following steps: acquiring remote sensing data of other areas except a water body area in a target mountain area and soil humidity data of each observation station; the altitude, the gradient, the slope direction, the longitude and latitude, the vegetation index, the clay content and the signal-to-noise ratio are selected as influence factors of mountainous area soil humidity inversion; calculating a corrected signal-to-noise ratio and a terrain humidity index; and constructing a mountainous area soil humidity inversion model, training and verifying, inputting the test set into the trained model, obtaining 1km-resolution soil humidity prediction day data, and averaging monthly soil humidity prediction day data to obtain soil humidity prediction monthly data. According to the method, the terrain humidity index and the CYGNSS data are fused, the advantages of terrain factors and the remote sensing technology can be fully utilized, the precision of soil humidity distribution and the prediction capacity of temporal and spatial variation are further improved, and the dynamic change of soil humidity in complex terrain areas such as mountainous areas is better revealed.

The invention discloses a method and a system for rapidly and dynamically measuring the permeability coefficient of unsaturated soil. The method comprises the following steps: acquiring resistivity data, dielectric constant data and temperature data of soil in a target area; collecting the data according to a unified time resolution to obtain observation data; constructing a soil heterogeneous unit feature vector based on the collected data; dividing the feature vectors of the heterogeneous units of the soil to generate an initial permeability coefficient field; constructing a rock physical constitutive model; fusing observation data and a hydrodynamic model, combining with a rock physical constitutive model, dynamically updating a permeability coefficient field, and performing optimization by applying physical constraints; and finally outputting the updated permeability coefficient spatial-temporal distribution and uncertainty quantification result. According to the invention, the moisture change in the unsaturated soil can be monitored in real time, the moisture distribution condition of the soil can be accurately evaluated, and geological disaster risks such as leakage and landslide of the soil can be found in advance.

The invention discloses an anti-condensation method for a closed cavity with a ventilation valve, and the method comprises the following steps: setting a plurality of measurement points in the closed cavity to obtain a moisture diffusion coefficient of each measurement point in the closed cavity, and fitting to obtain an influence function of temperature, humidity and a humidity adjusting material on the moisture diffusion coefficient; according to the moisture diffusion coefficient and each influence function, constructing a simulation model to simulate the distribution of moisture in the closed cavity; acquiring internal temperature and humidity and external environment information of the closed cavity; obtaining condensation conditions according to the internal temperature, humidity and external environment information of the closed cavity in combination with a moisture diffusion coefficient; and according to the moisture distribution and condensation conditions in combination with the simulation model, obtaining the use amount and position distribution of the anti-condensation humidity adjusting material. Condensation prevention of the closed cavity with the ventilation valve is achieved.

The invention relates to the technical field of image data processing, in particular to a multiband hyperspectral image fusion method for predicting surface moisture of coal, which comprises the following steps: acquiring visible light and near-infrared images and calculating reflection difference frequency, constructing a grade layer and then executing region mapping and brightness superposition, extracting pixel features and sorting and dividing threshold regions, and identifying boundary change and generating a graph block, and finally reconstructing a moisture distribution graph surface according to a gray scale. According to the method, pixel-level distinguishing is carried out through reflection differences of visible light and near-infrared images, hierarchical layers are constructed based on multi-band reflection changes, layer stacking and classification are completed in combination with characteristics such as brightness, edge changes and space concentration ratio, moisture region boundaries are delimited, and moisture level maps are generated according to gray scale sorting. Fine grading and boundary positioning of the moisture content are realized, the prediction precision is improved, the problems of single-band processing limitation and fusion information loss are solved, and the identification capability of the moisture area in the complex coal surface environment is enhanced.

The invention relates to the technical field of industrial detection, and discloses a high-precision petroleum coke moisture content analysis system, which comprises a petroleum coke multispectral characteristic processing module, a moisture analysis algorithm matching module and a moisture content execution module, petroleum coke is finely divided into three independent analysis levels of fine powder, medium particles and coarse particles according to particle sizes, detection weights are dynamically distributed based on mass proportions of all the particle sizes, when the proportion of the fine powder exceeds a critical threshold value, the system automatically improves the detection weights of the fine powder, the high water absorption characteristic of the fine powder caused by sharp increase of the specific surface area is captured, and the detection accuracy is improved. Aiming at the capillary moisture adsorption phenomenon caused by fine powder enrichment, the system generates a compensation coefficient positively correlated with the fine powder concentration in real time, the structural deviation caused by neglecting the particle size-moisture relevance in a traditional method is eliminated, the detection precision of a high-fine powder sample reaches a new height, a three-dimensional moisture distribution diagram is constructed through a distributed sensor network, and the detection precision of the high-fine powder sample is improved. The inherent defect that materials are regarded as a static homogeneous system in a traditional method is overcome.

The invention discloses an energy-saving control method and system for an oatmeal low-temperature wheat drying tower, and relates to the technical field of agricultural and sideline food processing.The method comprises the steps that incoming material characteristic parameters of the feeding end of the oatmeal low-temperature wheat drying tower, working condition parameters of current drying sections and tempering sections and environment parameters are obtained in real time; inputting into a material drying state prediction model and a waste heat prediction model, and outputting a real-time moisture distribution feature vector and a material temperature prediction value of a current tempering section outlet; calculating to obtain a waste heat potential coefficient of the characterization material in the current state; constructing a second state vector, inputting the second state vector into a pre-trained energy-saving control optimization model, and outputting to obtain an energy-saving control instruction set of a next drying section; and according to the energy-saving control instruction set, performing energy-saving adjustment on an execution mechanism of the wheat drying tower. The technical problems that an existing low-temperature wheat drying tower is low in energy utilization efficiency, and self-sustaining waste heat of materials in a tempering section cannot be fully utilized are solved.

The embodiment of the invention provides a method and device for obtaining the humidity of fabric in a fabric treatment appliance, and the method comprises the following steps: during the drying operation period of the fabric treatment appliance, obtaining the humidity of the fabric; acquiring an air temperature parameter of the fabric treatment appliance related to air circulating in the fabric treatment appliance during the drying operation and a drainage characteristic parameter related to liquid water separated from the fabric in the fabric treatment appliance through the drying operation; a humidity of the fabric in the fabric treatment appliance is determined based at least on the air temperature parameter and the drainage characteristic parameter. The application also relates to a fabric treatment appliance and a computer program product. According to the method and the device, the real-time humidity of the fabric can be determined without being influenced by the accumulation form and humidity distribution of the fabric, so that the measurement accuracy of the humidity of the fabric is improved, and a humidity sensor with high cost and limited measurement conditions is prevented from being used; therefore, the technical purpose of accurately obtaining the humidity of the fabric in the fabric treatment appliance at low cost is achieved.

The invention belongs to the technical field of food processing, and particularly relates to a preparation method and application of resistant starch. By optimizing drying process parameters (temperature, humidity control and the like), the damage of spray drying (high-temperature hydrogen bond damage), vacuum freeze drying (water loss of a crystal channel caused by sublimation of ice crystals) and traditional hot air drying (untimely loss of bound water caused by unregulated moisture distribution) to the starch double-helix structure in the prior art is effectively avoided. By maintaining a moisture environment required by recrystallization of starch molecules, ordered arrangement of starch chains is promoted, the relative crystallinity of the resistant starch is remarkably improved, and the problems of incomplete crystal structure and limited digestion resistance caused by an existing drying process are solved; and a key technical support is provided for large-scale application in the fields of baked foods, meal replacement products, pharmaceutical preparations and the like.

The invention relates to the technical field of coal pile compaction data processing, in particular to a coal pile compaction device and method, and the device comprises a data collection module, a federated learning aggregation module, a compaction decision module, a path planning module and an execution control module. A multi-source sensor is used for collecting coal pile humidity distribution, a three-dimensional contour and compaction feedback data in real time, and a coal pile three-dimensional dynamic model is constructed. And the federated learning aggregation module performs multi-target crossover variation on local parameters of multiple devices based on a genetic algorithm to generate a global compaction strategy model, and outputs, fuses and generates a vibration frequency and compaction force regulation and control instruction in combination with the coal hardening risk assessment model. And in combination with block chain encryption storage, compaction quality traceability is realized, the coal pile compaction uniformity and the oxidation reaction inhibition effect are improved, and the hardening risk and the operation energy consumption are reduced.

The invention discloses an in-situ detection device and method integrating an electrochemical impedance spectroscopy technology and static sounding, and aims to realize synchronous in-situ detection of macromechanical parameters and microcosmic electrochemical properties of a soil body so as to improve the comprehensiveness and accuracy of geotechnical engineering field test. The device comprises an electrochemical test probe rod, a static sounding annular probe and a test analyzer, and the electrochemical test probe rod is provided with a linearly arranged three-electrode system and is integrally installed through an insulation module; the static sounding annular probe is provided with a plurality of sensors; the test method comprises the steps of connection of the test analyzer and the probe rod, penetration of the probe into the soil body, electrochemical test parameter setting, impedance spectrum acquisition, data fitting analysis and the like. Compared with a traditional drilling collection method, the method has the advantages that the original state of the soil body can be effectively kept, and meanwhile, the stratum structure identification, the moisture distribution prediction and the unfrozen water content analysis are realized in combination with the microscopic information obtained by the electrochemical impedance spectroscopy and the static sounding mechanical indexes, so that the macroscopic and microscopic properties of the soil layer are comprehensively reflected.

The utility model relates to the technical field of agricultural machinery, in particular to a high-speed rice transplanter seedling feeding device capable of pre-humidifying seedlings, which comprises a seedling feeding device, the seedling feeding device comprises a seedling feeding table, a seedling pressing rod, an electric seedling feeding belt and a seedling taking port, a pre-humidifying mechanism is arranged on the seedling feeding table, and the pre-humidifying mechanism comprises a support frame, a supporting rod and a driving device, one end of the supporting frame is fixedly connected to the outer wall of the seedling feeding table, and the other end of the supporting frame is fixedly connected with a water conveying pipe. The pre-humidifying mechanism is arranged, the suction head is placed in the water source, the water source can be a water bucket, then the water pump is started, and the inclined nozzle rotates to spray water, so that water is more uniformly scattered on seedlings, and the situation that local seedlings are excessively humidified while other parts are insufficiently humidified is avoided; the humidity of the whole seedling area is ensured to be consistent, and in the seedling conveying process, uniform humidification is beneficial to maintaining the moisture balance of the whole seedlings, and uneven moisture distribution is prevented.

Aspects of the present invention provide methods, systems, and / or the like for: (1) receiving first imaging data from a first imaging device, the first imaging data comprising infrared imaging data for at least a first portion of an article of manufacture during a manufacturing process; (2) deriving moisture profile data from the infrared imaging data the infrared imaging data; and (3) providing the moisture profile data to a quality control system for use in cross-direction and machine-direction control. In some aspects, the first imaging device may be placed in any suitable location along a papermaking or other manufacturing process to provide real-time, full-width moisture profiles of a paper web at any location in the process. They system may be utilized at papermaking startup and implemented to optimize paper machine dewatering on a component-by-component basis.

The invention relates to a method, in particular a computer-aided method, for monitoring the moisture of a fixed insulation arrangement (I) and / or a liquid and / or gaseous insulating medium of an electrical device (1), in particular a transformer (1) or a choke, which is in contact with a fixed insulation arrangement (I), wherein the method comprises the following steps: S1) a simulation model of the electrical device is provided and / or created; S2) a simulation of the moisture distribution in the electrical device (1), in particular in the fixed insulation arrangement (I) and / or in the insulating medium, is carried out using the simulation model.

The invention discloses a preparation method of a high-temperature-resistant ceramic fiber insulation board, which comprises the following steps: injecting a first suspension corresponding to ceramic fibers into an insulation board model, and carrying out vacuum dehydration and compression molding on the first suspension in the insulation board model to obtain a first wet blank; the first wet blank is placed in a first drying chamber, the first drying chamber is controlled to preliminarily heat the first wet blank, a temperature field corresponding to the surface of the first wet blank is captured through an infrared thermal imager, and the moisture distribution difference of all areas on the first wet blank is obtained; further obtaining the humidification amount required by each area and applying the corresponding humidification amount, so that the moisture of each area on the first wet blank is uniformly distributed; a first drying chamber is controlled to evenly heat the first wet blank at intervals, and a heat preservation plate rough blank is obtained; and transferring the insulation board rough blank to a sintering furnace for sintering to obtain the high-temperature-resistant ceramic fiber insulation board. The drying quality of the ceramic fiber insulation board wet blank can be improved, so that the quality of the ceramic fiber insulation board finished product is improved.

The present application belongs to the field of tobacco processing and intelligent manufacturing technology, and discloses a production control method and device for the drying head and tail of tobacco drying. By determining first control data from historical tobacco drying data, the tobacco is dried according to the first control data, so that after the tobacco is in the drying head stage, second control data is obtained according to all tobacco monitoring data and the first control data, so as to achieve precise control of the tobacco drying head stage by combining historical production data with real-time monitoring information; secondly, after the tobacco is in the drying tail stage, third control data is obtained according to the duration of the tobacco in the drying tail stage and the second control data, and the tobacco is dried according to the third control data, so as to achieve precise control of the tobacco drying tail stage by combining the duration, thereby ensuring the uniformity of moisture distribution of the tobacco and the stability of product quality in the entire drying process, and meeting the market demand for high-quality tobacco.

The invention discloses a kelp drying moisture dynamic balance regulation and control method and system based on multi-source sensing. The method comprises the steps that data are collected in real time through a multi-source sensor in drying equipment; identifying a drying stage in real time based on the obtained temperature and humidity time sequence data, and dynamically adjusting process parameters according to data difference; performing space-time calibration compensation on the kelp surface temperature distribution data and the kelp surface image data; constructing a moisture distribution prediction model, and obtaining kelp moisture distribution gradient data; a local area with the moisture content higher than the global average value is recognized as a high-moisture area, and targeted intensified drying is conducted on the high-moisture area by controlling a subarea heating unit; and water distribution gradient data are obtained, and if the whole-region water gradient difference is smaller than a threshold value and the global average water content is smaller than the threshold value, drying is completed. The kelp drying device has the advantages that the drying process is monitored in real time and dynamically adjusted through the sensor, kelp moisture distribution is accurately controlled, the drying efficiency and quality are improved, and uniform drying of kelp is ensured.