31 results about "Moisture gradient" patented technology

The invention discloses a suspension bridge main cable dehumidification system and dehumidification method based on distributed humidity monitoring, and belongs to the field of suspension bridge main cable humidity monitoring and dehumidification. The suspension bridge main cable dehumidification system comprises a three-dimensional humidity monitoring network, an optical fiber demodulator, an intelligent control module and a distributed dehumidification module which are implanted or embedded into a suspension bridge main cable; the three-dimensional humidity monitoring network is electrically connected with the optical fiber demodulator through an outgoing line, the optical fiber demodulator is electrically connected with the input end of the intelligent control module, and the output end of the intelligent control module is connected with the distributed dehumidification module. By the adoption of the suspension bridge main cable dehumidification system and method based on distributed humidity monitoring, the problems that the internal humidity gradient of a large-section main cable is large, single-point monitoring is inaccurate, dehumidification control is extensive and the like are solved, visual early warning and linkage precise protection of the internal corrosion environment of the main cable can be achieved, and the durability and safety of the suspension bridge main cable are remarkably improved.

The application relates to the technical field of industrial automation control, and discloses a multivariable intelligent prediction control system for a konjac rice drying process, which comprises the following modules: a multimodal perception and soft measurement field construction module, which is used for collecting and fusing data to construct a dynamic soft measurement field; a twin dynamics characterization module, which is used for establishing a model and predicting a future material state based on the soft measurement field; a physical field-virtual field mapping and abnormality tracing module, which is used for comparing a real state with a predicted state to diagnose an abnormality root cause; an adaptive reinforcement learning prediction control module, which is used for integrating all information to generate an optimal control action; and a dynamic edge computing and model collaborative deployment module, which provides calculation and resource scheduling for the aforementioned modules. The application adopts a technical scheme in which multimodal perception data and deep learning are fused, a dynamic soft measurement field is constructed, and therefore key states such as a material internal moisture gradient and a surface crust degree can be quantified in real time and nondestructively.

The application discloses a kind of based on flavoromics's sun vinegar aging period flavor dynamic change analysis method, it is related to flavoromics technical field, to solve the current concentration rainstorm causes the temperature and humidity gradient of inner and outer wall of pottery jar to increase dramatically, causes the technical problem that pottery jar astringency is generated, including the following steps: S100, real-time monitoring and risk assessment of heat and humidity stress;S200, rainstorm event fusion early warning;S300, dynamic deduction and strategy optimization based on digital twinning;S400, dynamic microenvironment blocking control execution;S500, closed-loop feedback based on proxy index;S600, post-evaluation and model optimization.The application realizes early quantitative perception to astringency risk by real-time monitoring and calculating heat and humidity stress index representing ion precipitation driving force, combined with the research and judgment model of early warning confidence of fusion meteorological forecast and real-time data, starts the blocking control system, carries out physical intervention to pottery jar, guarantees the quality stability of sun vinegar in rainy season.

The invention provides a plant capsule storage temperature and humidity cooperative control method, system and device and a medium, and relates to the technical field of storage management and control, and the method comprises the steps: carrying out the non-intervention digital twin simulation iteration simulation of a plant capsule warehouse, and obtaining the multi-working-condition coupling temperature and humidity monitoring data covering a whole storage scene; performing temperature and humidity gradient feature analysis to obtain a three-dimensional temperature and humidity gradient field; performing temperature and humidity sensor density self-adaptive deployment, and constructing a temperature and humidity sensing network; performing capsule moisture content conversion based on the moisture absorption isotherm piecewise function model, and outputting a full-bin capsule moisture content thermodynamic diagram; generating a distributed dehumidification task, executing dehumidification equipment energy consumption minimum strategy optimization, and outputting a distributed dehumidification instruction set; and space weight collaborative dehumidification is executed. According to the invention, the technical problem that the accuracy of humidity control is affected due to the fact that the humidity distribution complexity of a warehouse cannot be flexibly adapted to because fixed sensor layout and dehumidification equipment calling are generally adopted in the storage management and control in the prior art is solved.

The application relates to the technical field of pre-diagnosis and health management, and discloses a primary and secondary fusion ring network box fault diagnosis method and system. The method comprises the following steps: acquiring the micro-water content, gas pressure and local discharge amplitude in the air chamber of a ring network box, and performing time sequence arrangement to obtain a first multi-dimensional state sequence; then performing time sequence correlation analysis to obtain micro-water gas pressure discharge historical track features and condensation phenomenon features. When the condensation phenomenon exists, the cabinet door state data is acquired and abnormality is determined to obtain abnormal opening determination features; then humidity difference quantization is performed to obtain a humidity gradient, and the external humidity inflow duration is calculated. Subsequently, insulation deterioration input features are generated, and insulation performance deterioration degree values are mapped. Finally, hidden danger identification mapping and trend prediction are performed to obtain hidden danger type matching features, serious level mapping features and trend prediction results. The method can solve the problem of early hidden danger identification lag.

This invention relates to the field of automated control in food processing, specifically a temperature and humidity PID control system for the ripening process of alum-free wide rice noodles. The system includes: a sensing interface module, which receives environmental state data including air temperature and air humidity; physical characterization data including real-time sample weight and sample surface temperature; a kinetic analysis module, which, in conjunction with the sample surface temperature and the drying weight loss rate, calculates the humidity gradient index characterizing the difference between the center moisture content and surface moisture content of the wide rice noodle sample; a strategy decision module, which determines dynamic correction setpoints for air temperature and air humidity; and an execution control module, which drives the temperature and humidity adjustment mechanism to perform heating, humidification, or dehumidification actions, so that the actual temperature and humidity in the ripening chamber approach the dynamic correction setpoints. This invention effectively solves the problem of monitoring blind spots caused by neglecting the physical evolution of the sample.

The invention provides a method for accurately controlling fermentation parameters of truffle steamed stuffed buns, and belongs to the technical field of fermentation of the truffle steamed stuffed buns. An ultrasonic atomization humidification system and a circulating fan linkage device are configured to carry out spatialized environment adjustment based on a humidity gradient distribution model, a thermal imaging device and a high-resolution image acquisition device are installed to monitor temperature distribution and morphological change of the surface of the dough in real time, and a carbon dioxide concentration detection system is deployed to monitor gradient distribution of fermentation metabolites; dynamic optimization of the fermentation environment is achieved by executing self-adaptive parameter adjustment control, a fermentation end point judgment mechanism based on double indexes of the dough expansion rate and the carbon dioxide generation rate is established, and the technical problem that in the prior art, due to the fact that multi-dimensional parameter cooperative control precision is insufficient in the fermentation process, fermentation end point judgment is inaccurate is solved.

The application discloses a kind of integrated grain low-temperature circulation continuous drying method, belong to grain drying technical field, comprising: feeding and homogenization;Low-temperature circulation drying and on-line identification drying stage;Obtain moisture removal efficiency of each round of drying;According to surface moisture change rate and speed reduction stage, judge the necessity of slow recovery;In slow recovery section, adopt database matching method, with grain variety, cycle round, internal moisture gradient and drying stage as query key, retrieve and correct output initial slow recovery duration;Through multi-round closed loop feedback, according to last round moisture removal efficiency, adjust actual slow recovery duration and drying parameters of this round;Cooling and discharging.The application is based on real-time moisture change and drying stage self-adaptive trigger slow recovery, utilizes database matching and round feedback dynamic optimization slow recovery duration, realizes the intelligent closed loop control of drying-slow recovery timing, effectively reduces grain breakage rate and burst rate, improves drying efficiency and multi-species applicability.

The present application relates to the technical field of chemical material storage stability simulation, in particular to a carbonic acid ethylene storage stability simulation method based on digital twinning, aiming to solve the problem that traditional evaluation cannot deeply couple dynamic factors such as moisture penetration, temperature and humidity change and product accumulation, cannot accurately restore the moisture gradient balance and product accumulation law in the container, and is difficult to predict the evolution of key quality indicators and failure boundaries, by constructing a digital twinning body basic model containing molecular structure and hydrolysis kinetics parameters, embedding dynamic moisture adsorption and reaction kinetics modules, calculating parameters such as moisture diffusion and penetration rate, integrating temperature and humidity sensor data, forming feedback by coupling heat and mass transfer and reaction kinetics equations, outputting stability attenuation risk index, predicting acid value, moisture content, color evolution trend and identifying failure threshold, and iteratively correcting model parameters combined with actual detection data to improve simulation accuracy.

The invention relates to the technical field of mushroom cultivation, in particular to a moderate intelligent control method for an edible mushroom and pleurotus eryngii cultivation workshop, which comprises a sensing grid unit, an execution unit, a control unit and a man-machine interaction unit, and further comprises the following steps: S1, partitioning and initializing; s2, data acquisition and monitoring; s3, performing partition decision and control; s4, performing stage conversion and linkage early warning; and S5, alarming and data recording. The workshop is divided into a plurality of independent control areas, and longitudinal and transverse sensor grids are deployed in each area, so that the defect that the whole workshop is regarded as a single and uniform environment in a traditional method is overcome, the system can sense and eliminate temperature and humidity gradients at different positions, independent and accurate regulation and control of the microenvironment of each area are realized, and the control accuracy of the whole workshop is improved. All mushrooms can grow under the optimal condition, and the uniformity, the commodity rate and the overall quality of the pleurotus eryngii are greatly improved.

The invention relates to the technical field of agricultural intellectualization, in particular to an intelligent regulation and control method, system and equipment for a rare fungus planting room and a storage medium. The method comprises the following steps: acquiring multi-dimensional coupling environmental parameters in a planting room, wherein the parameters integrate environmental data such as temperature and humidity gradients and matrix conductivity of different areas and hypha activity-microenvironment coupling parameters such as mushroom stick ATP content and hypha density; comparing the dynamic growth model library with a dynamic growth model library integrating multi-strain data and historical feedback; and outputting multi-dimensional cooperative regulation and control instructions for fan vortex intensity, light supplementing phase difference, spraying time sequence, nutrient solution compensation coefficient and the like in different areas according to the result. Accurate coupling regulation and control of environment and biological activity are achieved, the yield stability and quality uniformity of rare fungus planting are effectively improved, energy consumption per unit yield is reduced, and technical support is provided for large-scale standardized planting.

The invention belongs to the technical field of fertilizer quality monitoring and analysis, and particularly relates to a water activity monitoring method and device for preventing caking of a water-soluble potassium sulfate type fertilizer. According to the invention, an instrument self-reference is established by stabilizing a reference medium, sensor drift and environmental interference are eliminated, and measurement accuracy is improved; multi-point sampling is adopted, original state filling of samples is kept, and it is ensured that the result fits the actual working condition. Taking temperature self-equalization as a precondition, and realizing candidate balance identification by combining dual-threshold joint judgment; apparent balance and real balance are distinguished through closed overturning rechecking and secondary convergence, and the internal moisture gradient of the sample is accurately reflected. According to the method, the real equilibrium water activity can be accurately judged and compared with the critical caking threshold value, and rapid and objective evaluation of the caking risk is achieved.

The invention relates to the technical field of remote monitoring, in particular to a remote monitoring method for egg laying environment parameters of water turtles, which comprises the following steps of: starting a data acquisition instruction at a preset time interval through temperature and humidity sensors deployed at a plurality of grid nodes in an egg laying sand pool and an online sensor arranged in an aquaculture water circulation system; a multi-point temperature and humidity sensor array and a water body on-line sensor are deployed, spatial interpolation and time sequence analysis are combined, an intelligent breeding management process from data sensing to closed-loop control is constructed, the monitoring dimension is expanded to a three-dimensional temperature and humidity gradient field of the whole egg laying sand pond from a traditional single-point average value, and the breeding quality of the egg laying sand pond is improved. The microenvironment spatial heterogeneity having decisive influence on the egg laying behavior of the water maculate turtles can be revealed, and the defect that the real environment is difficult to locate due to fuzzy information in traditional monitoring is overcome.

This utility model discloses a device for real-time monitoring of temperature and humidity in a ventilation room, including a ventilation room, a protective shell, a temperature and humidity monitoring mechanism, a wire harness, and a wire management mechanism. The protective shell is fixed inside the ventilation room, and the temperature and humidity monitoring mechanism is housed inside the protective shell. The beneficial effects of this utility model are: by setting up the temperature and humidity monitoring mechanism and the wire management mechanism, full-space coverage is achieved; the three-dimensional sensor network eliminates monitoring blind spots; the temperature and humidity gradient inside the ventilation room is accurately captured; and when the temperature and humidity exceed the limits, the ventilation equipment is automatically activated, and an alarm message is sent to the management personnel. Simultaneously, the wire harness is clamped and fixed by the clamps, preventing it from being scattered. When fixing the wire harness, the rotation of the threaded rod in the angle adjustment component drives the pull rope, thereby adjusting the distance between two adjacent support seats, allowing the wire harness to be bound at an appropriate angle, maintaining an orderly arrangement, and improving maintenance efficiency.

The invention relates to the technical field of electrical equipment, in particular to a dehumidification method and device of an energy storage cabinet system, electronic equipment and the energy storage cabinet system.The dehumidification method comprises the steps that the environment humidity value detected by each humidity sensor is obtained; calculating temperature gradients between the adjacent humidity sensors according to the obtained multiple environment humidity values to obtain multiple temperature gradients, and selecting a maximum value from the multiple temperature gradients to obtain a maximum gradient value; and when the maximum gradient value is larger than a preset gradient threshold value, the draught fan is started. The humidity gradient reflects the severity of humidity change in unit distance, and by adopting the method, the core area in which the temperature and humidity change is the most severe in the cabinet and the moisture condensation is the most likely to occur can be accurately identified. And once the maximum gradient value exceeds a threshold value, the fan is immediately started for forced ventilation, so that condensation is prevented.

The invention discloses aerogel with a vertical porosity gradient structure and a preparation method and application thereof.The method comprises the steps that firstly, a cellulose raw material is pulpified and purified, a uniform substrate is provided for structure regulation, and moisture response performance is stabilized; secondly, a TEMPO / NaBr / NaClO system is adopted for catalytic oxidation of the cellulose surface, hydrophilic groups such as carboxyl are introduced, the hygroscopicity and ionic conductivity of the fibers are improved, a high-specific-surface-area fiber network is formed through filter-pressing homogenization treatment, local resistance difference is reduced, and output voltage and current are stabilized; then, directional freezing induces the nanofibers to be vertically arranged, a vertical pore gradient structure is constructed, moisture is rapidly diffused to form a stable humidity gradient field, ions are driven to continuously and directionally migrate, and the energy conversion efficiency and the output power stability are improved; finally, the binding force between the fibers is enhanced through metal salt crosslinking, a three-dimensional network is formed, the mechanical strength and swelling resistance are improved, structural collapse is prevented, it is ensured that the device is reliable for a long time in a humid environment, and the service life is prolonged.

The application discloses a kind of salinization wetland vegetation recovery method based on gradient moisture control, first, according to moisture gradient, degraded wetland is divided into three levels of moisture zone, namely low moisture zone, medium moisture zone and high moisture zone, and according to moisture zoning, vegetation recovery scheme is formulated, based on the quantitative relationship between soil moisture content and vegetation aboveground biomass, water supplement measures are formulated, and soil is improved through salt-nutrient synergistic control.The application innovatively integrates hydrological engineering and ecological process control, breaks through the differentiated water supply mode, realizes the synergistic effect of increasing soil and salt inhibition, provides a replicable recovery paradigm for semi-arid region wetlands, and provides a quantifiable natural solution for coping with land desertification and climate change.

The utility model provides an in-mold humidity gradient control vacuumizing device, which belongs to the field of mold forming and comprises a base, and a humidifying and vacuumizing component for vacuumizing and locally humidifying in a mold forming process is arranged on the base. The humidifying and evacuating assembly is provided with a partitioning assembly used for partitioning to form a humidity gradient and a drying assembly used for conducting moisture absorption and drying treatment. By means of the humidifying and evacuating assembly, the zoning assembly and the drying assembly, a mold is arranged in the shell during use, the partial pressure of water vapor can be reduced through vacuum pumping of the vacuum pump, the humidity is controlled, the humidity is maintained through continuous humidification of the atomizing spray head, the shell is divided into four areas through the partition plates, and the drying effect is improved. The humidity sensor is used for measuring the real-time humidity condition of each area, the drying agent bag can assist in reducing the humidity, and the micro motor rotates to drive the sliding plate to ascend and descend so as to control whether the drying agent bag affects the environment in the shell or not.

This application discloses an automatic control method and system for a disc granulator used in fertilizer production based on magnesium sulfate monohydrate. This invention overcomes the limitations of existing technologies that rely solely on particle size sieving and cannot identify the intrinsic quality state of recycled materials by constructing a multi-dimensional sensing network encompassing surface morphology, crystallization spectrum, particle size distribution, and moisture gradient. It achieves online quantitative identification of the physicochemical properties of recycled materials, such as crystal structure integrity, water of crystallization content, and surface activity. By establishing a three-level quality grading mechanism (high-quality, medium-quality, and degraded) and a lifespan prediction model, it accurately distinguishes recycled materials of different degraded degrees and predicts their remaining lifespan. This allows degraded recycled materials to be directed to the discharge channel or used as raw materials for powdered fertilizer, blocking the path of product quality deterioration caused by degraded recycled materials entering the granulation zone. It also avoids the problems of decreased compressive strength and increased pulverization rate of finished products due to crystal structure damage, improving the storage and transportation performance and appearance quality of the product.

The application provides a kind of based on wisdom beam factory's steaming process management and optimization method and system, it is related to steaming process management technical field, the method includes: step 1, constructs and trains an intelligent analysis model, obtains the intelligent analysis model after training;Real-time acquisition's steaming environment parameters and the temperature and humidity data of the internal multiple position points of precast beam body are input into the intelligent analysis model after training, obtain the temperature and humidity field distribution in space and time on the internal precast beam body;Step 2, extract the change characteristics of temperature and humidity field distribution in space and time dimension, determine a feature operating point according to change characteristics, and generate corresponding temperature and humidity gradient change trend line based on feature operating point.The application realizes the management and continuous improvement of steaming process, improves the steaming quality of precast beam body and production management efficiency by temperature and humidity field accurate prediction, structure state evaluation and individualized steaming regulation, combined with micro-crack risk control and model adaptive optimization.

The invention discloses a method for analyzing dynamic change of flavor in a sun vinegar aging period based on flavor omics, relates to the technical field of flavor omics, and aims to solve the technical problem that the temperature and humidity gradient of the inner wall and the outer wall of a pottery jar is sharply increased due to current concentrated rainstorm, and astringent taste is generated in the pottery jar, the method comprises the following steps: S100, real-time monitoring of heat and humidity stress and risk assessment; s200, rainstorm event fusion early warning is carried out; s300, performing dynamic deduction and strategy optimization based on digital twinning; s400, dynamic microenvironment resistance control execution is carried out; s500, performing closed-loop feedback based on the proxy index; and S600, carrying out post-event evaluation and model optimization. According to the method, the heat and humidity stress index representing the ion precipitation driving force is monitored and calculated in real time, early quantitative perception of astringent risks is achieved, the research and judgment model integrating weather forecast and the early warning confidence coefficient of real-time data is combined, the resistance and control system is started, physical intervention is conducted on the pottery jar, and it is guaranteed that the quality of the sun vinegar is stable in the rainstorm season.

The utility model discloses a kind of drying equipment for flour processing belongs to flour processing field, including processing bucket, the middle part of processing bucket is equipped with partition groove, the inside fixed connection of partition groove has blow-off mechanism, the inner bottom wall of processing bucket is fixedly connected with push and bind mechanism, the upper surface of processing bucket is fixedly connected with cover plate, the upper surface of cover plate is fixedly connected with rotating mechanism;Through the cooperation of above each device, through the push and bind mechanism of setting, the flour on B filter plate can be leaked from filter hole by using conical rod in push and bind mechanism, by zoned exposure, more uniform moisture evaporation path can be formed around filter hole, reduce the moisture gradient of central part, realize more consistent drying effect, position flour and push out filter hole, reduce the uneven drying of local caused by material limitation and stay on filter plate, better air circulation path can be brought in pushing process, help moisture to discharge from filter hole and surrounding area.

The application discloses a marble resource potential evaluation system and method, and relates to the technical field of mineral resource evaluation, and comprises the following steps: S001, in the process of remote sensing imaging, the vertical humidity distribution and the horizontal humidity distribution are acquired, the two are continuously spliced along the running track of the remote sensing platform to form a humidity gradient evolution zone, and the time period corresponding to the brightness jump is marked in the humidity gradient evolution zone; S002, the brightness of the original image of multiple periods is superimposed to the humidity gradient evolution zone in the brightness jump time period, the brightness jump area is pressed into the humidity gradient evolution zone according to the pixel, and the humidity mutation corridor for indicating the position of the interference source is generated in the humidity gradient evolution zone. The application positions the interference source by comparing the humidity gradient evolution zone with the spectral slope, constructs a spectral stripping structure to inhibit the abnormal waveband, suppresses the false high-brightness interference based on the exposure adjustment track, realizes the dynamic recovery of the ore body boundary, and improves the boundary identification accuracy and the reliability of the mining area division.

The utility model relates to the field of ramie stalk drying, in particular to a ramie stalk pretreatment microwave drying oven. The tiling device comprises a workbench, a conveying belt arranged on the outer side of the workbench, a tiling mechanism, a material turning mechanism and a tiling plate. The tiling mechanism is arranged on the side face of the workbench. The material turning mechanism is arranged on the side surface of the tiling mechanism; and a sliding block is arranged at the end part of the tiling plate. Through the arrangement of the tiling mechanism, when ramie stalks are conveyed on the conveying belt, the second motor drives the tiling plate to vibrate left and right, so that the ramie stalks are tiled on the conveying belt, and the problems that the thicknesses of the stalks are uneven, the microwave penetration depth of a thick area is insufficient, the outer layer is too hot, and the interior is not dried thoroughly can be avoided; the microwave energy is ensured to uniformly act on each part, local overheating or insufficient drying is avoided, the moisture gradient can be effectively reduced, and uneven structure shrinkage or cracking caused by too fast local drying is prevented.

The present invention provides moisture gradient contact lenses that are easily removable. Such moisture gradient contact lenses can be manufactured according to a cost-effective method that includes creating defects (grooves and / or gaps) in the anterior outer hydrogel layer and partially or completely masking reactive functional groups in selected regions of the anterior surface of the contact lens to be coated before grafting a non-silicone hydrogel material layer. Due to the defects in the anterior outer hydrogel layer, the surface lubricity of the anterior surface is inferior to that of the posterior surface. By adjusting the shape, size, density, and rotational distribution of the defects, the surface lubricity of the anterior surface of the moisture gradient contact lens can be selectively tuned and optimized, thereby improving lens handling while maintaining other desirable properties.

The invention relates to the technical field of papermaking, and discloses a high-smoothness paper cup base paper and a production process thereof, and the production process comprises the following steps: providing a fiber reticular base width, and controlling the water content; applying a gradient construction liquid containing a film-forming polymer and a thixotropic modifier, wherein the liquid has the characteristics of low shear and high viscosity; after liquid application and before calendering, interface thermal shock locking is introduced, and a gas-liquid interface solvent is induced by high-temperature airflow to be subjected to flash evaporation to form a semi-solid skin layer; according to the method, through the cooperation of interface flash evaporation blocking and asymmetric heat flow control, the extremely steep temperature and humidity gradient is constructed in the Z direction of the paper web, plastic deformation is limited to the surface layer, the endogenous contradiction between high smoothness and high bulkiness mutual exclusion is solved, and the method has the advantages of being high in smoothness and high in bulkiness mutual exclusion; the surface performance and the stiffness of the raw paper are improved.

The invention provides an unmanned aerial vehicle path optimization method and related equipment. The method comprises the following steps: acquiring a real-time ecological sensitivity operator and airborne temperature and humidity gradient of a current point when an unmanned aerial vehicle flies along a set path; when the ecological sensitivity operator reaches a sensitive threshold value and the airborne temperature and humidity gradient reaches a gradient threshold value, the unmanned aerial vehicle is controlled to fly along a cylindrical spiral line so as to adjust the flight height of the unmanned aerial vehicle; when the airborne temperature and humidity gradient recovers to be below the gradient threshold value, the unmanned aerial vehicle is controlled to return to the spiral starting point and continues to fly along the set path. The ecological sensitivity operator and the airborne temperature and humidity gradient both can reflect the change of the external environment, when the corresponding threshold value is reached, the change of the external outer ring is severe, the local flow field conflict of the current area of the unmanned aerial vehicle can be reflected, the unmanned aerial vehicle is controlled to fly along the cylindrical spiral line, the route path reconstruction is realized, and the unmanned aerial vehicle is controlled to fly along the cylindrical spiral line. And the airborne temperature and humidity gradient is recovered to be below the gradient threshold value, so that more comprehensive and detailed monitoring of an ecological sensitive area is achieved.

This invention provides a method for preventing mold and moisture damage to interior walls of buildings in high-humidity coastal environments, belonging to the field of building construction technology. The invention utilizes a humidity gradient optimization diffusion algorithm to establish a dynamic prediction model of humidity distribution within the wall and automatically matches appropriate moisture-permeable materials according to the moisture content range. It designs a gradient moisture-proof layer composite structure including a moisture-proof layer with a vapor permeability resistance greater than 200 MNs per gram-meter, a transition layer, and a humidity-regulating layer. A shortest path algorithm for salt migration is used to identify key areas susceptible to salt damage, and infrared thermal imaging is combined to determine the location of cold bridge risks. In high-risk areas, a locally reinforced insulation layer is constructed, and an electric heating film system is installed to achieve active temperature control. A life prediction model based on damage mechanics is established, and electric heating and local ventilation measures are automatically activated based on the duration of relative humidity and temperature difference. This invention solves the technical problem of mold or moisture damage to interior walls of coastal buildings.

The invention relates to the field of automatic control of food processing, in particular to a temperature and humidity PID control system for an alum-free wide vermicelli curing process, which comprises a sensing interface module, a data processing module and a control module, the physical characterization data comprises the real-time weight of the sample and the surface temperature of the sample; the kinetic analysis module is used for resolving a humidity gradient index representing a difference value between the center water content and the surface water content of the wide powder sample by combining the surface temperature of the sample and the drying weight loss rate; the strategy decision module is used for determining dynamic correction set values for the air temperature and the air humidity; and the execution control module drives the temperature and humidity adjusting mechanism to execute heating, humidification or moisture removal actions, so that the actual temperature and humidity in the curing room approach the dynamic correction set value, and the problem of monitoring blind areas caused by neglecting physical evolution of the sample is effectively solved.