448 results about "Dew point" patented technology

The invention relates to the technical field of environment control, in particular to an intelligent mildew-proof system and a mildew-proof and moisture-proof product, and the system comprises an evaporation trend monitoring module, a wet area path identification module, a retention risk identification module, a stress grade judgment module and a linkage adjustment archiving module. According to the method, through comprehensive collection and difference analysis of environment parameters of air duct nodes and superposition of air velocity and dew point change trends, humidification trend data with time sequence and spatial flow direction characteristics are constructed, wet flow direction consistency and a wind speed disturbance track in a continuous time window are combined, a wet area expansion path is identified, and a key diffusion section is positioned; through extracting deviation information between a regional equipment response state and a risk level intervention demand, linkage intervention of a fan and dehumidification is realized, accurate adjustment and dynamic recording of multi-parameter cooperative control are completed, fine identification capability of a wet region evolution and retention trend is enhanced, and initiative and adaptability of space humidity control response are improved.

The invention relates to the field of grain storage management, and discloses an intelligent granary grain pile dew point early warning method and system, and the method comprises the steps: carrying out the continuous collection of the temperature and humidity, airflow velocity and pile density of each grain pile in a granary, and generating a humidity and heat perception graph reflecting the spatial layering characteristics; performing time sliding and spatial reconstruction analysis on the damp-heat perception graph, and constructing a damp-heat evolution mapping model; based on the damp and hot evolution mapping model, calling a multi-dimensional risk identification engine to perform aggregation judgment on the micro-region with the dew point close to a critical value, and outputting a potential condensation risk set; performing joint correction on the potential condensation risk set, real-time airflow distribution, grain pile accumulation form and ventilation response delay characteristics, and performing dynamic weight regression on different grain varieties and seasonal factors to generate dynamic stability indexes reflecting risk migration and diffusion trends; and adaptively adjusting the sensing sampling density and the early warning judgment threshold according to the dynamic stability index. The method has the advantage of improving the early warning precision of storage environment management.

The invention discloses an automatic demisting control system for a demisting mirror, belongs to the technical field of smart home and automatic control, and aims to solve the problems that an existing demisting mirror is inconvenient to use and wastes energy due to the fact that the existing demisting mirror depends on manual operation. According to the system, the mirror surface temperature is detected in real time through the mirror surface temperature sensor, environment data are collected in combination with the environment temperature and humidity sensor, a dew point temperature calculation module and a dynamic threshold module are arranged in the control unit, and the current dew point temperature is calculated based on the environment temperature and the relative humidity; and dynamically adjusting a demisting trigger threshold value according to a difference value delta T between the mirror surface temperature and the dew point temperature. The heating wires are distributed on the back face of the mirror body at intervals, heating gears are selected according to the temperature difference change rate and the humidity change rate, and accurate temperature control is achieved. According to the system, through a dynamic threshold value and graded power adjusting technology, the rapid demisting and energy-saving requirements are considered, the system is suitable for automatic mirror surface demisting in humid environments such as bathrooms and swimming pools, the user experience is improved, and the energy consumption is reduced.

The invention discloses a staged design flood estimation method under the influence of climate change and reservoir regulation and storage. The method comprises the following steps: acquiring meteorological and hydrological data, human water consumption data and global climate mode output data of a reservoir; a reduced natural reservoir runoff series is obtained based on a water balance method, a GR4J-9 hydrological model is calibrated to achieve natural reservoir runoff simulation, and a long-short-term memory model is constructed to simulate the influence of human activities such as reservoir regulation and storage on runoff; based on a global climate mode set and a quantile deviation correction method, driving a GR4J-9 hydrological model and a long-short term memory model to obtain a reservoir runoff series under climate change and performing flood season staging; establishing a staging design flood calculation model of a future scene based on a Copula function, and deducing the most probable staging design flood; and constructing an emergence constraint model based on the dew point temperature so as to obtain a corrected stage design flood result. According to the method, the comprehensive influence of climate change and reservoir regulation and storage is considered, and a reference basis is provided for deducing stage design flood.

The invention provides a sea fog forecasting method, medium and system based on ocean station observation data, and belongs to the technical field of electrical digital data processing, and the method comprises the steps: firstly, obtaining years of continuous hydro meteorological observation data of an observation station, including air temperature, dew point temperature, seawater temperature, wind direction and wind speed and other data; performing multi-scale decomposition through wavelet transform to obtain variable components of different time scales; then, forecasting factors including temperature difference, stability index and the like are calculated, and layered Fisher discriminant analysis is carried out according to seasons and weather system types. A polynomial discrimination equation set is established by calculating a weight coefficient, and a discrimination critical value is determined by combining a probability density function, so that whether the weather is foggy or not is judged. And finally, verifying by adopting a three-level inspection system, and constructing a complete forecast product release system including the strength grade of fog, the space-time evolution and the like, thereby realizing the accurate forecast of the sea fog. The technical problem that the accuracy of a traditional forecasting method fluctuates greatly under different conditions is solved.

The invention discloses a condensation-free efficient heat exchange control method and system for a full-premixing water heater, and the method comprises the steps: collecting the multi-source information, such as air inlet temperature, humidity, gas flow, flue gas oxygen concentration and wall temperature, in real time, calculating a predicted dew point based on a dynamic dew point prediction model, and setting a dynamic safety boundary; the condensation risk is judged by comparing the wall temperature with the safety boundary, and active intervention is carried out in a staged cooperation mode that fuel gas and air volume are continuously adjusted firstly and then a partial combustion zone sectioning valve is rapidly turned off; the system comprises a main controller, a mesh-shaped infrared radiation burner, a sectional valve assembly, a gas proportional valve, a frequency conversion fan and related sensors. According to the invention, the system runs close to the condensation boundary through intelligent control, and the advantage of high operation heat efficiency is realized on the premise of ensuring high reliability.

The invention relates to the technical field of dew point measurement, in particular to an intelligent temperature control system and method based on a high-precision chilled mirror dew point meter, and the system comprises a chilled mirror temperature difference positioning module, a main signal selection module, a power response matching module, an interference airflow recognition module, and a current output instruction generation module. A cold mirror end temperature difference is obtained, a section and a lifting direction are judged, synchronous measuring points are screened, a minimum deviation signal is extracted, a power section is matched, a power-on instruction is constructed, a rheumatism disturbance level is identified, parameters are spliced to generate a conduction structure, and a cold mirror temperature control instruction is output. According to the method, section identifiers are constructed through temperature differences and temperature change directions, signals are screened based on time alignment, interference is avoided, power control positions section deviation directions through difference values, disturbance identification is combined with wind speed and humidity differences, disturbance levels are refined, power-on control generates time sequence instructions through multi-parameter splicing, instruction stability and control accuracy are improved, and the method is suitable for large-scale popularization and application. And dynamic closing logic is formed.

The invention relates to the technical field of pipeline safety monitoring and water seepage prevention early warning, in particular to a water seepage prevention early warning system driven by complex temperature and humidity environment edge calculation, which comprises the following modules: an environment and water immersion data acquisition module used for acquiring temperature, relative humidity, water immersion signals and auxiliary evidence in real time at edge nodes and performing preprocessing; and the temperature and humidity coupling dew point judgment module is used for calculating a dew point at the edge node based on the temperature and humidity data and generating condensation negative evidence. According to the method, temperature and humidity and water immersion data are collected at edge nodes and preprocessed, condensation negative evidence is generated based on the temperature and humidity data and fused with water immersion positive evidence to form a Markov chain, meanwhile, an environment base line is established, and a threshold value is adjusted in a self-adaptive mode, so that continuous monitoring and closed-loop judgment of the water seepage state are achieved; therefore, the problems that most traditional pipeline water seepage monitoring systems depend on a remote server, and judgment lags and misinformation is caused by the complex environment and the static threshold value are solved.

The utility model relates to the technical field of hydrogen drying devices, in particular to a low-pressure, low-dew-point and low-pressure-drop hydrogen drying device which comprises an adsorption tower which comprises a tower A and a tower B, after water is cooled and separated through a regeneration cooler and a regeneration gas-water separator, the hydrogen enters an adsorption tower A through V1 to absorb water and dry to meet the requirement, the hydrogen is discharged out of the tower and passes through V7 to reach a gas using point, a small part of about 20% of gas is divided from dry gas at an outlet and is electrically heated to 180 DEG C, and the gas is sent to a tower B through V6 to regenerate and activate an adsorbent; hydrogen absorbing moisture is discharged from the tower and enters a gas inlet cooler and a gas inlet gas-water separator through a V4, the temperature of the cooled and dehydrated hydrogen is greatly increased after the cooled and dehydrated hydrogen is pressurized by a booster pump, the cooled and dehydrated hydrogen is converged with hydrogen at an inlet and then passes through a regeneration cooler and a regeneration gas-water separator, the cooled and dehydrated hydrogen returns to the adsorption tower A to adsorb moisture, and first-step pressurized reflux drying is completed; and similarly, hydrogen is adsorbed from the tower B, is subjected to split-flow heating regeneration, passes through the tower A, is pressurized and then flows back to the tower B again.

The invention provides a water vapor interference resistant sensor air chamber and a dynamic dehumidification method thereof.The sensor air chamber is characterized in that an acquisition control module, a temperature acquisition assembly and a heating and heat preservation assembly are arranged in an air chamber structure assembly, and the acquisition control module is connected with the temperature acquisition assembly and the heating and heat preservation assembly; the heating and heat preservation assembly is arranged on the outer side of the sensor, the collection control module carries out data processing and regulation and control parameter calculation, and precise moisture-proof control is achieved. Meanwhile, the invention discloses a dynamic dehumidification method. In combination with the change of sensor signals and the moisture condensation temperature under different temperature conditions, the heating and heat preservation assembly is started to heat the air chamber, so that the temperature of the air chamber is always higher than the dew point temperature and is fixed as the temperature difference value of the air chamber temperature and the environment temperature, and the moisture is effectively prevented from condensing in the air chamber or interfering a detection signal; the problem that the sensor is prone to false alarm in the humid environment is solved, data are stable and reliable in the humid environment, and detection precision and stability are improved.

The invention relates to the technical field of laboratory temperature and humidity control. The laboratory temperature and humidity control system comprises a control terminal, a monitoring module, a dynamic prediction analysis module and a partition adjustment module, the monitoring module comprises a temperature sensor arranged on the surface of a wall and equipment, a humidity sensor arranged in a ventilation pipeline, dew point detection units of a fresh air inlet and a return air inlet, a pressure sensor below the ground and a top infrared thermal imaging unit. The dynamic prediction analysis module is used for receiving the equipment calorific value and personnel density information monitored by the monitoring module and outputting a temperature and humidity change trend; the partition adjusting module comprises a temperature control plate array, an air conditioning unit and a humidity adjusting unit, a temperature control plate switches a heat storage / release state through current pulse, and the humidity adjusting unit is used for dehumidification or humidification; the control terminal regulates and controls the partition module according to the prediction result, and intelligent regulation of laboratory temperature and humidity is achieved.

The invention relates to the technical field of gas detection, and discloses a high-sensitivity sulfur hexafluoride detection method and a high-sensitivity sulfur hexafluoride detection system based on cooperation of a long-wave infrared absorption spectrum and a thermal infrared spectrum, which are used for solving the problem that water vapor in a detection area affects a sulfur hexafluoride detection result during sulfur hexafluoride detection. The method comprises the following steps: acquiring long-wave infrared absorption spectrum data and environment abnormal data, acquiring an infrared radiation space distribution diagram of a to-be-detected area, acquiring environment humidity and dew point temperature, obtaining initial detection concentration of sulfur hexafluoride according to the long-wave infrared absorption spectrum data, and calculating the concentration of sulfur hexafluoride according to the environment abnormal data, the environment humidity and the dew point temperature. The method comprises the following steps: acquiring an environmental water vapor influence index through evaluation, performing water vapor interference judgment, and if judging that water vapor interference exists in a current detection environment, correcting an initial detection concentration according to the environmental water vapor influence index to obtain an actual detection concentration, thereby effectively improving the accuracy of a sulfur hexafluoride detection result and reducing the problems of missing detection and false detection.

The invention provides a storage system for immunofluorescence slide glass and an intelligent temperature and humidity coupling control method thereof. The system comprises a closed sample cabin, a controller, a passive buffer layer and other structures, and the temperature and humidity in the cabin can be stably controlled in a dynamic environment. The temperature and humidity in the cabin and the temperature of the key cold surface are monitored in real time through the sensing unit, the local dew point is calculated, and temperature and humidity control is executed. And the controller executes a layered gradient coupling control algorithm according to the dynamic dew point safety margin to ensure accurate control of temperature and humidity. The passive buffer layer is of a composite structure of a phase change material and a moisture absorption material, and the temperature and humidity are adjusted through solid-liquid phase change and molecular adsorption. The system can effectively improve the storage stability and safety of the immunofluorescence slide, and is suitable for sample storage management in industries such as life science and biological pharmacy.

The invention discloses a land water reserve prediction method and system based on artificial intelligence and electronic equipment. The prediction method comprises the following steps: collecting an atmosphere reanalysis data set and gravity satellite land water reserves data, and obtaining various global climate mode output data; constructing a long-short-term memory model for simulating long-series land water reserves; adopting the corrected lattice global climate mode output data to drive a long-short term memory model, and simulating a first prediction result of land water reserves in a future prediction period; fitting a hook-shaped response function of the land water reserves and the dew-point temperature, and obtaining a second prediction result of the land water reserves in the future prediction period; and constructing an emergence constraint model for correcting the prediction result. According to the method, the land water reserve space-time evolution rule under the influence of climate change can be fully reflected, the land water reserve prediction period is remarkably prolonged, the prediction effect is improved, and the defect that in the prior art, land water reserve prediction is large in uncertainty is overcome.

The invention discloses a solid-phase tackifying, cooling and humidifying system and a solid-phase tackifying, cooling and humidifying process for nylon. The cooling and humidifying of a slice are realized while a high-viscosity nylon slice is produced; on the basis of the prior art, a cooling function and a humidifying function are innovatively combined, and remarkable technical progress is achieved. According to the system, an interlocking control system of a cooling circulation nitrogen flow meter, a regulating valve and a temperature and dew point detector is additionally arranged on a cooling unit, so that dynamic regulation of the gas-solid ratio (0.05-0.5) of supplied gas and graded dew point control are realized, and the water content control precision is improved to + / -50ppm from + / -100ppm of a traditional process. By optimizing the nitrogen circulation path and the retention time (1.5-6 hours), a single set of system can be compatible with production modes with different water content requirements of 400-1000 ppm, the investment is saved by 40% and the energy consumption is reduced by 20% compared with a mode of additionally arranging humidifying equipment, the remarkable technical advantages are shown, and the industrial application prospect is good.

The invention relates to a variable dew point control method of an all-air air conditioning system, belongs to the technical field of heating ventilation air conditioners, and solves the technical problems of temperature and humidity coupling in the prior art and difficulty in landing of a chilled water temperature resetting technology. The control method comprises the steps of S1, parameter initialization, S2, system starting and stabilizing, S3, air supply dew point dynamic adjustment and cold water valve control, S4, temperature and air supply amount control and S5, fresh air optimization and air valve control. The water supply temperature is adjusted by dynamically adjusting the air supply dew point and dynamically increasing the temperature of the outlet of the surface air cooler, the energy efficiency of the unit is remarkably improved, and the system is suitable for the chilled water temperature resetting technology and compatible with the application of the medium-temperature water supply technology.

The utility model discloses a heat pump driven renewable drying bed dehumidification dew point evaporative cooling air conditioning system which comprises a heat pump subsystem, a drying bed dehumidification subsystem, a tubular dew point evaporative cooling subsystem, an adsorption air pipeline subsystem and a regeneration air pipeline subsystem. The drying bed dehumidification subsystem bears the latent heat load of the air conditioning system, and the tubular dew point evaporative cooling subsystem bears the sensible heat load of the air conditioning system. The heat pump is used for regenerating saturated solid drying agent particles in the drying beds, one drying bed is applied to the adsorption process, the other drying bed is applied to the regeneration process, the dehumidification capacity of the drying beds is guaranteed, meanwhile, efficient dehumidification is achieved, the tubular dew point evaporation cooling subsystem is used for cooling, heat pollution is reduced, emission is reduced, and the energy-saving and environment-friendly effects are achieved. And the requirement of people on indoor temperature is met.

The invention discloses an intelligent temperature and humidity control method applied to a process oven. The method comprises the following steps: analyzing future temperature and humidity predicted values in real time by adopting a dynamic prediction module; and the predicted value is simultaneously input to a dew point risk avoidance module and an MPC optimization module. The current dew point temperature is calculated through the dew point risk avoiding module, dew point risk judgment is conducted in combination with the material surface temperature monitored by the infrared sensor, and when it is detected that the surface temperature is close to a dew point threshold value, an instruction is sent to the gradient air supply control module. And the MPC optimization module performs rolling optimization on the air supply parameters through an objective function based on the predicted value. Therefore, the fuzzy-PID module is helped to dynamically adjust PID parameters, and accurate execution signals are output to a heater and a fan. The gradient air supply control module integrates the dew point risk instruction and the PID control signal, the oven is divided into a plurality of independent areas to execute differential regulation and control finally, the control precision of intelligent regulation of the operation state of the process oven is increased, and energy consumption is remarkably reduced.

The invention relates to the technical field of clean room environment control, and discloses a clean room environment control compensation method and system based on temperature and humidity independent combined control, and the method comprises the steps: collecting the infrared thermal imaging data of a clean room; infrared thermal imaging data of the clean room are processed into surface heat flux distribution through three-dimensional space interpolation reconstruction; detecting the air dew-point temperature and the particulate matter concentration of the clean room, and combining the air dew-point temperature and the particulate matter concentration into a dynamic heat and humidity load vector; determining a target temperature value and a target humidity value of the clean room; a first control instruction for a temperature adjusting device of the clean room is generated, and a second control instruction for a humidity adjusting device of the clean room is generated; controlling the temperature adjusting device to adjust the temperature of the clean room according to the first control instruction, and controlling the humidity adjusting device to adjust the humidity of the clean room according to the second control instruction. Through organic combination of multi-source sensing, dynamic modeling and decoupling control, the precision, adaptability, safety and energy efficiency level of clean room environment control are remarkably improved.

The invention relates to the technical field of air conditioners, and provides a humidity control method and device of an air conditioner and the air conditioner. The humidity control method of the air conditioner comprises the steps that the target air dew point temperature is obtained; according to the target air dew point temperature, the target coil pipe temperature of the evaporator is determined; and the rotating speed of an indoor fan and the operation frequency of a compressor are controlled, so that the current evaporator coil temperature reaches the target evaporator coil temperature. Under the condition that no humidity sensor exists and the cost is not increased, the effect of accurately adjusting and controlling temperature and humidity is achieved, and the use requirement of a user is met.

Methods and related systems for controlling indoor relative humidity are disclosed. In an embodiment, the method includes (a) determining a target dew point temperature based on desired indoor conditions for the indoor space, and (b) determining an initial dew point temperature based on an initial set of current indoor conditions of the indoor space. In addition, the method includes (c) determining a target coil temperature of a coil of an indoor heat exchanger of the climate control system based on the target dew point temperature and the initial dew point temperature, and (d) adjusting a speed of air flowing across the coil or a speed of a compressor of the climate control system after (c) based on the target coil temperature to reduce a difference between a coil temperature of the coil and the target coil temperature.

The invention provides an energy-saving fine control method and device for a central air conditioner of a ten-stage purification workshop. A control system controls all systems to start and operate, and cold air passes through a fan filtering unit and a raised floor to achieve indoor purification circulation; the cold and heat source system carries out cooling treatment, and the cold water outlet temperature is 5 + / -0.5 DEG C; the temperature and humidity control fluctuation range of the first temperature and humidity sensor and the second temperature and humidity sensor is + / -0.3 DEG C / + / -0.8% RH; the control system automatically regulates and controls the air conditioner air cabinet and the cold and heat source system and comprises the steps that measured data of the indoor temperature, the indoor humidity, the air supply temperature, the air supply humidity and the fresh air dew point temperature are input into a pre-constructed temperature and humidity coupling model, and temperature and humidity regulation information is formed through calculation; the control system conducts refrigeration, heating and air volume regulation and control on the air conditioner air cabinet according to the information and conducts valve opening regulation and control on the cold and heat source system and the humidification pipe. According to the invention, the requirement of keeping stable high-precision temperature and humidity under the working condition of ten-grade cleanliness indoors can be met.

The invention relates to the technical field of compressor temperature control, and discloses a compressor temperature control system capable of preventing generation of condensate water, which comprises a sensing module, an execution module and a controller. The sensing module is used for collecting air temperature, relative humidity, system working pressure and circulating oil temperature parameters of the compressor in real time. The controller is configured to calculate the current pressure dew point of the system based on the air temperature, the relative humidity and the working pressure of the system; the pressure dew point serves as a floating lower limit, a preset system optimal working temperature upper limit serves as a fixed upper limit, and a dynamic safe working interval is determined; finally, a cooling unit and a heating unit in the execution module are cooperatively controlled to work according to the relation between the circulating oil temperature and the dynamic safety working interval. By establishing the dynamic safety lower limit changing along with the working condition, the problem that the compressor is prone to generating condensate water under the high-humidity or low-load working condition to cause oil emulsification is effectively solved, and accurate and energy-saving temperature control is achieved.

The invention relates to the technical field of machine room environment regulation and control, in particular to a communication base station intelligent energy-saving window control design method and system, and the method comprises the steps: obtaining and classifying base station source load data, setting energy-saving window parameters and an off-network strategy, monitoring a power supply state, and cooperatively controlling temperature control equipment in combination with electric quantity temperature difference. According to the method, the thermodynamic state is digitalized by calculating the outdoor cold source potential energy gradient and the indoor thermal load cumulative acceleration and combining the enthalpy difference allowance so as to accurately evaluate the natural cold source potential; the optimal ventilation opening degree and the fan rotating speed are matched through multi-dimensional feature clustering, so that the condensation risk is strictly restrained according to dew point approximation deviation while the heat dissipation efficiency is guaranteed, and in addition, a dual-target evaluation function in an off-grid scene is constructed to solve a non-dominated solution set of endurance time and thermal safety. A dynamic protection threshold value is generated; and when the commercial power is interrupted, a control strategy is adaptively adjusted according to the real-time load and the environment temperature, so that the off-network life cycle of the base station is maximized, and core equipment is ensured to always run within a safe temperature boundary.

A device cooling system includes a vehicle-mounted device, a main controller, and a valve set. A liquid inlet pipe and a liquid outlet pipe are disposed on the vehicle-mounted device, the liquid inlet pipe is connected to the valve set, the valve set is connected to an electric drive liquid-cooling loop to form a first path, the valve set is connected to a battery liquid-cooling loop to form a second path, and the valve set is configured to switch a switch status to control to connect the first path or the second path. A temperature and humidity detection apparatus is disposed in the vehicle-mounted device. The main controller is configured to: obtain a dew point temperature based on a temperature and humidity that are detected by the temperature and humidity detection apparatus, and control, based on the dew point temperature, the valve set to switch the switch status.

The invention discloses a radiation air conditioner heat and humidity decoupling cooperative control method based on dynamic dew point prediction, and the method comprises the steps: building a multi-dimensional environment state sensing system, collecting indoor environment parameters in real time, including indoor temperature and humidity and capillary network water supply temperature, calculating indoor air dew point temperature and moisture content change rate, and forming a dynamic anti-condensation safety margin. And the minimum water supply temperature constraint allowed by the capillary radiation system is generated. Based on the constraint, the system achieves sensible heat and latent heat decoupling of indoor cold loads, sensible heat loads are preferentially borne by the capillary radiation system, wet load disturbance of latent heat loads is eliminated by the fresh air system through feedback compound control, and stable adjustment of indoor temperature and humidity is achieved. And under the working condition of insufficient sensible heat, the system automatically performs self-adaptive redistribution of sensible heat load, and the fresh air system assists in supplementing cold energy, so that comfort and high-energy-efficiency operation are ensured to be maintained within an anti-condensation safety boundary. According to the method, indoor air condensation can be effectively prevented, cooperative operation of the capillary radiation system and the fresh air system is optimized, and accurate heat and humidity control is achieved.

The invention discloses an air conditioner filter screen cleaning prompting method based on artificial intelligence, and relates to the technical field of intelligent maintenance of air conditioners and heating ventilation air conditioning equipment. Systematic interference of high humidity and accumulated water of a pressure taking channel on pressure difference reading is eliminated on the sensing level by introducing a dew point driven condensation risk grading and feature weight descending mechanism; the pressure difference indication is closer to the real resistance evolution; then, differential pressure, fan electric parameters and indoor and outdoor temperature and humidity are comprehensively utilized through multi-time-window preprocessing and a time sequence classification model, distinguishing of a dry dust blocking mode and a wet mold blocking mode is achieved, and the complex process of slow accumulation-intermittent fluctuation-seasonal migration in a coastal scene can be covered; and a hysteresis and anti-shake strategy is adopted in a decision-making level, and a minimum prompt interval is set, so that false alarm and frequent reminding caused by transient disturbance are inhibited, and the user experience is remarkably improved.

Control unit for room air dehumidification with two independent outputs for controlling a fan and a dehumidifier, wherein the control unit comprises means for measuring temperature and relative humidity in the interior and exterior areas, calculates the dew point of the interior and exterior air from the measured values, compares the dew points and, depending on adjustable threshold values ​​for the desired interior temperature and humidity, activates either the fan or the dehumidifier, wherein the control unit operates completely autonomously and can be operated without connection to digital networks, smart home systems, apps or external servers.

The invention relates to the technical field of atmospheric parameter inversion models, provides an atmospheric model construction method and system based on virtual temperature correction, and solves the problem of insufficient dynamic scene adaptability. The method comprises the following steps: acquiring a radiation brightness observation value of a satellite thermal infrared band, synchronously recording a satellite observation zenith angle and an azimuth angle, and collecting earth surface coverage type data, dew point temperature and corresponding height information; and uplink and downlink radiation components are eliminated. A normalized vegetation coverage index is calculated based on satellite red light and near-infrared band reflectivity data, a specific emissivity mapping relation is constructed in combination with a land surface coverage type, and land surface specific emissivity space distribution is inverted. And generating vertical stratified atmosphere data based on the dew point temperature and height, and constructing radiation transmission path correction parameters in combination with the observation angle. And finally, establishing an atmospheric radiation transmission model, and outputting a continuous spatialization virtual temperature field. According to the method, the problem of insufficient dynamic scene adaptability in the prior art is solved, and high-precision inversion of the atmosphere deficiency temperature vertical section is realized.

The invention discloses a heating control method for an engine gas delivery pipeline of a marine gas generator set, which relates to the technical field of marine gas power systems, and comprises the following steps: collecting multi-dimensional environment state information of the gas delivery pipeline in real time, analyzing gas components and pressure fluctuation data, and calculating the temperature of the gas delivery pipeline; a theoretical dew point temperature and a potential paraffin precipitation temperature under real-time pressure are calculated by combining a fuel gas physical property database, a real-time heat exchange model is constructed by combining a pipeline outer wall temperature gradient and a cabin environment temperature, theoretical temperature attenuation curves of different positions of fuel gas in a pipeline are obtained, condensation and paraffin precipitation risk positions and degrees are predicted after comparison, and a real-time heat exchange model is established. And differential electric heat tracing control strategies of different sections of the pipeline are generated in combination with relative humidity data of the cabin. The method can adapt to the real-time physical property of gas and the heat exchange state of the pipeline section, and the heating control execution mode of the gas pipeline is optimized.