1148 results about "Relative humidity" patented technology

The invention belongs to the technical field of simulation analysis, and particularly relates to a medium-high voltage switch cabinet internal humidity inversion calculation method based on simulation analysis, which comprises the following steps: establishing a geometric model of a switch cabinet, importing the geometric model into finite element simulation software to obtain a simulation analysis model, adding each physical field and computational domain and boundary conditions thereof, and calculating the internal humidity of a medium-high voltage switch cabinet. All the physical fields are coupled, and mesh generation is carried out; performing numerical solution on the simulation analysis model by using a transient solver to obtain a temperature and humidity distribution condition in the switch cabinet; the simulation analysis model is optimized, a simulation data set is constructed, and a PINN is trained; based on the environment temperature and humidity and the operation current collected in the actual operation of the switch cabinet, the trained PINN is used for prediction, and the steady-state relative humidity of the current transformer is obtained. According to the invention, based on the limited boundary monitoring data, efficient and accurate reconstruction of the humidity field of the key area in the switch cabinet is realized, and a feasible path is provided for equipment state sensing and condensation risk early warning.

The present application relates to hydrogen production technology field, especially to a kind of methanol hydrogen production method, comprising the following steps: S10: methanol water is heated and vaporized to obtain methanol water vapor;S20: methanol reforming reaction obtains hydrogen mixture gas;S30: after cooling treatment to hydrogen mixture gas, through water washing tower absorption unreacted methanol water, then, adjust the relative humidity and temperature of hydrogen mixture gas;S40: hydrogen mixture gas is input into carbon dioxide absorption tower to remove carbon dioxide;S50: after removing carbon dioxide, product hydrogen is obtained and input hydrogen tank storage to supply user end.The above-mentioned methanol hydrogen production method, by methanol water vapor reforming hydrogen treatment, obtains hydrogen mixture gas.Again, hydrogen mixture gas is purified to obtain product hydrogen with very low carbon monoxide content, with raw material easy to transport, the hydrogen purity of output is high, equipment construction cost is low, and energy consumption is low and the like advantages, reach the purpose of expanding hydrogen application range.

As the withering process of tea leaves takes a long time to reach a desired moisture level, estimating when it is time to move to the next step to reach the target tea leaf moisture is difficult and inefficient. Method and system disclosed herein provide an approach for withering schedule prediction of tea leaves. The system, by performing a spectral data analysis on an image of a plurality of tea leaves, estimates the moisture percentage in the plurality of tea leaves, for a selected time stamp. Based on the predicted moisture level, a current temperature value, a current relative humidity value, and a current time stamp, the system generates a withering schedule for the plurality of tea leaves. The generated withering schedule is fine-tuned based on a course correction of an impact of deviation in one or more ambient parameters on the prediction of the withering schedule.

The invention discloses an existing wind power blade electrothermal film deicing control method based on big data, and relates to the technical field of wind turbine generator operation control and ice prevention and removal. Frost ice / glaze ice probability output by an ice type discrimination model does not only give an alarm any more, but is directly converted into an increase / decrease coefficient constrained by boundary and monotonicity; energy can be fully put in a glaze ice scene, and overheating and over-consumption can be avoided in a frost ice scene; according to the method, the change trend of wind speed, temperature and relative humidity is introduced as modulation factors, the working condition of forming / turning glaze ice is responded in advance, and insufficient deicing caused by static threshold hysteresis is reduced; according to power deviation correction, a unit wind speed-power curve serves as a reference, a dead zone, segmented gain and accumulative saturation structure is adopted, on the premise of not depending on an external icing sensor, extrinsic performance of pneumatic degradation is closed into controlled quantity, sensitivity and stability are considered, and start-stop oscillation and duration drift are reduced.

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 relates to the technical field of ice and snow environment simulation, and discloses an ice and snow environment simulation test method based on multi-field coupling. The method comprises the following steps: collecting a dynamic multi-field data set in a target ice and snow environment, wherein the dynamic multi-field data set covers a periodic temperature change sequence, a relative humidity fluctuation sequence and surface ice layer thickness real-time monitoring data; carrying out multi-physics field coupling numerical simulation processing to generate coupling field distribution characteristics including an axial heat conduction coefficient gradient, a radial fluid velocity cumulant and a tangential ice layer stress fluctuation coefficient; calling a pre-configured ice and snow growth simulation model to execute ice layer evolution analysis to obtain an ice layer growth rate prediction value and a high-risk icing area position identifier; performing environment dynamic compensation correction on the ice layer growth rate prediction value by using the correlation characteristic of the relative humidity fluctuation sequence and the material heat capacity attribute; based on the high-risk icing area position identification, scientific guidance is provided for related protection in the ice and snow environment.

The invention relates to the technical field of welding, in particular to a hot riveting welding head synchronous temperature control method and system based on the temperature change rate, and the method comprises the steps: executing full-power heating pulse triggering operation on a welding head, calculating the pulse duration according to a start timestamp and an end timestamp, calculating the temperature rise, and eliminating peak noise through a digital filtering algorithm; environment temperature and relative humidity are collected in real time, and equivalent heat capacity is calculated; the initial temperature difference between any welding heads is calculated, and a dynamic target temperature curve is constructed; and calculating an actual temperature change rate, synchronously extracting a target change rate of the dynamic target curve at a corresponding moment, calculating a change rate deviation between the two change rates, judging whether intervention adjustment is needed or not, calculating an output signal by using an incremental PID algorithm if intervention adjustment is needed, and adjusting the heating power according to the output signal. According to the scheme, the stability of the hot riveting welding quality is effectively improved by accurately quantifying the thermal characteristics of the heterogeneous welding head, dynamically planning a personalized temperature rising track and performing high-frequency closed-loop regulation and control.

The invention discloses an insulation state evaluation method for a voltage transformer online monitoring device, and the method comprises the following steps: obtaining an original dielectric loss angle tangent value through a dielectric loss tester, and collecting the temperature and relative humidity through an environment sensor; performing temperature and humidity compensation on the collected dielectric loss angle tangent value to obtain a compensated dielectric loss angle tangent value; performing trend prediction on the compensated dielectric loss angle tangent value based on an autoregressive integral moving average model to obtain a predicted value; judging an abnormal state by comparing a predicted value with a dynamic threshold value; performing risk assessment by integrating the equipment state parameters, and outputting a corresponding maintenance decision according to an assessment result; according to the invention, the interference of environmental factors on the measurement of the dielectric loss angle tangent value is eliminated, and the measurement accuracy is improved; the abnormal change trend of the dielectric loss value is found in advance through trend prediction, and early warning is realized.

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 invention relates to a phase perception residual learning-based rice drying moisture content fusion prediction method, which comprises the following steps of: acquiring multi-dimensional data in a rice drying process, preprocessing, dividing three drying phases based on a change rate of relative humidity of waste gas, and continuously optimizing; an improved Page model is constructed, drying coefficients k and n are fitted in stages, k is associated with the hot air temperature through an Arrhenius formula, n is associated with the hot air temperature through a quadratic equation, and a physical baseline predicted value is generated after parameters are optimized through a deep bed test; calculating a residual error between the actual moisture content and the physical baseline, and training the LSTM network by taking the residual error as a target to enable the LSTM network to learn nonlinear features which cannot be described by a physical model; and fusing the physical baseline of the improved Page model and the residual error predicted by the LSTM to obtain a final fusion prediction result. The method not only ensures the physical rationality of the prediction result, but also improves the precision and generalization ability, and is suitable for intelligent regulation and control of the rice drying process.

The invention is suitable for the technical field of rainfall forecast correction, and provides a regional short-term rainfall quantitative forecast machine learning correction method integrated with weather system information, and the method comprises the steps: determining an initial forecast factor based on meteorological elements in an ECMWF mode, the meteorological elements comprise a precipitation field, ground transformation, convection effective potential energy, UV wind fields of 500hPa, 850hPa and 925hPa, relative humidity, temperature and vertical speed; taking the dichotomy labels corresponding to the 500hPa slot line and the tangent line between 850hPa and 925hPa as newly added forecast factors, and constructing a four-dimensional training set according to the initial forecast factors and the newly added forecast factors; converting the four-dimensional training set into a three-dimensional training set; training a random forest regression model through the three-dimensional training set, and outputting a rainfall forecast field within a preset time; according to the CMASH3 mode rainfall forecast data and a preset judgment logic, dynamically correcting the rainfall forecast field within a preset time, and generating a target rainfall forecast product; and the accuracy of heavy rainfall forecasting is effectively improved.

A lyophilization method for lyophilizing products inside one or more vials within a lyophilization chamber is disclosed which includes humidifying a charge gas to a predetermined relative humidity, cooling shelves in the lyophilization chamber to a predetermined temperature, pressurizing the chamber with the humidified charge gas to a pressurization threshold to thereby achieving a target relative humidity level within the lyophilization chamber, and suddenly releasing pressure within the lyophilization chamber until a depressurization threshold is reached in a short time interval up to about 4 seconds, during the depressurization, product inside one or more vials nucleate.

The invention relates to a method for improving the diapause egg rate of silkworm germplasm resources, which comprises the following steps: during the period from pupation completion to silkworm moth eclosion, illumination period regulation of 8-hour illumination and 16-hour darkness is adopted, a light source does not contain an ultraviolet wave band, the illumination intensity is 350lx-600lx, and the light source is uniformly distributed; the temperature in the illumination period is maintained at 26-28 DEG C, the temperature in the dark period is reduced to 23-25 DEG C to form a day-night temperature difference, and the temperature change and the illumination period are switched synchronously or adjusted gradually in stages; the relative humidity in the illumination period is controlled to be 70-75%, the relative humidity in the dark period is improved to be 75-85%, and the humidity change is synchronous with illumination period switching. The method is mainly used for silkworm germplasm production by regulating and controlling the photoperiod to cooperate with temperature and humidity changes and simulating a natural autumn cooling signal to induce diapause, the storable and planned production of silkworm eggs is guaranteed, and resource waste is reduced.

This invention addresses the challenge of thermal comfort in hot-humid tropical climates, where factors like solar radiation, humidity, and air temperature significantly affect indoor conditions. The patented hybrid attic ventilation technique operates continuously over 24 hours to improve ventilation in attics, which are crucial for maintaining overall building thermal performance. Field studies comparing a traditional attic setup with one utilizing the hybrid ventilation system were conducted in two typical one-storey terrace houses. Using Building Information Modeling (BIM) for energy consumption analysis, the results indicated that the hybrid system reduced indoor temperature by 1°C and relative humidity by 7%, leading to a notable 10% reduction in overall energy consumption. This innovative hybrid technique demonstrates enhanced thermal comfort and energy efficiency by leveraging both nighttime and daytime ventilation, making it a sustainable solution for residential buildings in tropical regions.

The present invention discloses a preparation method of a photothermal super-hydrophobic coating with excellent anti-icing / de-icing performance under a low temperature and high relative humidity environment, first by in situ growth of photothermal Cu-MOF nanoparticles on the surface of low thermal conductivity fibrous clay mineral nanoparticles, constructing a two-level nano- / nano-structured composite photothermal particle, which is then subjected to low surface energy modification and introduced into a low thermal conductivity binder, and a binder is induced to phase separate to form a micron-scale binder / low surface energy nanoparticle aggregate by a non-solvent, and finally a photothermal super-hydrophobic coating with a three-level micro- / nano- / nano-structure is constructed by spraying. The three-level micro- / nano- / nano-structure of the coating simultaneously gives the coating excellent photothermal performance and the Cassie-Baxter state stability of the droplet on the coating surface under a low temperature and high relative humidity environment, so that it has excellent passive anti-icing / frosting and active de-icing / defrosting performance in this environment. The low thermal conductivity of the coating further suppresses the heat exchange between the substrate-water droplets, so that the passive anti-icing / frosting performance of the coating is further improved. In addition, the present invention has the advantages of simple preparation method and large-area preparation, laying a solid foundation for the practical application of photothermal superhydrophobic anti-icing coatings.

The invention belongs to the technical field of functional materials, and particularly relates to moisture power generation fabric and a preparation method and application thereof. The moisture power generation fabric comprises a fabric substrate modified with a conductive and hydrophilic reinforcing material, and a surface coating area of the fabric substrate is loaded with a moisture absorption power generation functional material. The proton transmission efficiency is improved through a specific charge transfer effect and an ion occupancy effect among components of the moisture absorption and power generation functional material, and the permanent asymmetric moisture absorption difference on two sides of a coupling interface of a coated area and an uncoated area is used as a stable driving force for proton transmission, so that lasting direct current output is formed. The power generation performance of the moisture power generation fabric is determined by power generation composite parameters (namely the product of stable power generation time and the sum of relative humidity and temperature under the same weight and the quotient of the product and the water evaporation difference value on the two sides of a coupling interface), and the power generation composite parameters and the power generation composite parameters are in a nonlinear relation of increasing and then decreasing. Therefore, the power generation performance of the moisture-induced all-weather sustainable power generation fabric can be quantitatively controlled and optimized by adjusting the power generation composite parameters.

The invention relates to an evapotranspiration component prediction method, system and device and a medium. The method comprises the following steps: acquiring four types of meteorological elements, including net radiation, air temperature, wind speed and relative humidity, influencing evapotranspiration components in a target area, and screening core meteorological elements in combination with area vegetation coverage and soil moisture retention characteristics; constructing a core meteorological element historical simulation sequence, comparing the core meteorological element historical simulation sequence with a corresponding historical observation sequence to calculate a Pearson's correlation coefficient, determining an initial fusion prediction value based on the coefficient, applying an emergence constraint, and generating a core meteorological element future prediction sequence; inputting the prediction sequence into a hydrological cycle model for simulation and correction to obtain a future soil moisture prediction result of the target area; and jointly inputting the future prediction sequence of the core meteorological elements and a future soil moisture prediction result into the double-layer evapotranspiration model, outputting and correcting a primary evapotranspiration component sequence, and finally obtaining an adjusted evapotranspiration component sequence. The method can improve prediction precision and stability.

The embodiment of the invention provides a Beidou water vapor inversion method and system based on a buoy platform. The method is applied to the technical field of data processing, and comprises the following steps: receiving a Beidou dual-frequency signal through a direct antenna to obtain original observation data; the multi-path effect and the platform shake are inhibited by combining buoy motion characteristics obtained by the MEMS sensor to obtain pre-processed data; calculating a troposphere delay estimated value; establishing a delay-water vapor conversion model; suppressing short message interference to obtain effective observation data; and inputting the data into a model to calculate the amount of precipitable water and the relative humidity. According to the method, the key technical problems of sea surface multi-path effect suppression, platform shake compensation, marine atmosphere modeling, short message interference elimination and the like are solved, so that reliable water vapor parameter inversion on the buoy platform is realized.

The invention relates to the field of efficient energy application, in particular to a control method of a system with a cold storage cold source, which comprises the following steps: acquiring the working time of a power utilization area; the working mode of the cold storage cold source system is preset; obtaining a cold consumption influence value and a power consumption influence value of the power consumption area according to the working time of the power consumption area; acquiring an environment temperature predicted value, a relative humidity predicted value and a solar radiation predicted value of the power utilization area; obtaining a cold load prediction value of the cold storage cold source system according to the cold consumption influence value, the power consumption influence value and the environment temperature prediction value, the relative humidity prediction value and the solar radiation prediction value of the power consumption area; acquiring a power consumption predicted value of the power consumption area according to the power consumption influence value; according to the solar radiation prediction value of the power utilization area, obtaining a photovoltaic power generation amount prediction value of the photovoltaic power generation system; and the working mode of the cold storage cold source system is controlled according to the working time of the power utilization area, the cold load predicted value, the power consumption predicted value and the photovoltaic power generation predicted value, and efficient combined control is achieved.

The invention provides an air conditioner control method and device, electronic equipment and a storage medium, and relates to the field of air conditioners. Comprising the steps that operation data of the air conditioner on the day and environment data of the environment where the air conditioner is located are obtained, and the environment data comprise environment temperature; inputting the operation data and the environment data into a preset prediction model to obtain a current environment relative humidity prediction value; according to the relation between the environment temperature and the reference temperature value, the humidity prediction value is corrected, and a corrected humidity value is obtained; and based on the corrected humidity value, the operation state of the air conditioner is controlled. And the air conditioner cost is reduced while the accuracy of controlling the air conditioner based on high humidity is ensured.

The invention provides an oxygen generation air conditioning device control method and an oxygen generation air conditioning device. The control method of the oxygen generation air conditioning device comprises the steps that S1, at least one of the continuous operation duration t of a cooling fan of an oxygen generation module, the current outdoor environment temperature T < outer ring > and the current outdoor relative humidity RH < outdoor > is obtained to serve as a judgment parameter; s2, if it is judged that the parameters meet the preset conditions, the current exhaust dew point temperature Td of the oxygen generation module and the heat radiator critical temperature addition amount T are obtained, and the heat radiator critical temperature T of the heat radiator of the oxygen generation module is obtained; and S3, the gas temperature T radiator at the outlet of the radiator is obtained, and the rotating speed of a cooling fan is controlled according to the relation between the critical temperature T radiator critical temperature and the gas temperature T radiator or the critical temperature T radiator critical temperature. The problem that in the prior art, an oxygen generation air conditioning device is prone to generating condensate water is solved.

The invention relates to an ambient air quality monitoring data correction system, which belongs to the technical field of computer data processing and modeling, and comprises an environment state judgment module used for acquiring original monitoring data of a micro station, determining a sea fog interference state mark based on the original monitoring data, and sending the sea fog interference state mark to the micro station; the original monitoring data comprises relative humidity and original mass concentration of particulate matters; the first correction module is used for processing the original mass concentration of the particulate matters in the original monitoring data when the sea fog interference state flag is 1 so as to generate first particulate matter correction data; and the second correction module is used for processing the original monitoring data to generate second correction data when the sea fog interference state mark is zero, and technical guarantee is provided for advanced applications which depend on long-term data quality, such as pollution source tracing and environmental governance effect evaluation.

According to the wet curtain heat exchanger and air conditioner combined cooling tower, through switching of a three-stage heat exchange framework and an intelligent mode, full-working-condition efficient refrigeration is achieved, a cooling tower module is independently operated when the environment temperature is higher than 0 DEG C and lower than 12 DEG C and the relative humidity is lower than 80%, and energy is saved by 90% or above compared with a traditional air conditioner; when the environment temperature is higher than 12 DEG C, the wet curtain heat exchanger and the air conditioner combined cooling tower are linked, the COP reaches 5-18, and energy is saved by 20%-70% compared with national standard first-level energy efficiency equipment; a wet curtain heat exchanger performs primary cooling, an air conditioner evaporator surface air cooler performs secondary cryogenic cooling, and it is ensured that a cooling tower stably prepares cold water with the temperature smaller than or equal to 12 DEG C; the operation controller automatically switches modes based on temperature and humidity threshold values, and heat exchange energy consumption is reduced by fully utilizing natural cold sources in different seasons in the nature and even in different time periods in one day; the wet curtain heat exchanger, the air conditioner evaporator surface air cooler and the cooling tower share the draught fan, the airflow path is simplified, and equipment redundancy is reduced.

The purpose of the present invention is to provide a heat-shrinkable film that has a reduced natural shrinkage rate and improved shrink finish. This heat-shrinkable film is composed of polyester and / or polystyrene and satisfies the following (1) to (4): (1) the shrinkage rate in the main shrinkage direction when treated in hot water at 70°C for 10 seconds is 3% or less; (2) the shrinkage rate in the main shrinkage direction when treated in hot water at 80°C for 10 seconds is more than 10% and not more than 50%; (3) the shrinkage rate in the main shrinkage direction when treated in silicon oil at 120°C for 10 seconds is 50-80%; and (4) the natural shrinkage rate (dimensional change rate) in the main shrinkage direction of the film after aging for 168 hours in an atmosphere of 50°C and 40% relative humidity is 1% or less.

The invention belongs to the technical field of adjusting systems of grease storage tanks, and particularly relates to an automatic temperature and humidity adjusting method and system for a biological grease storage tank, and the method comprises the steps: obtaining the operation data and the current oil temperature of storage tank conveying equipment, and constructing a rheological resistance index; an integral mechanism with time as the axis is established, the accumulated thermal stress of the grease in the whole life cycle is calculated according to the current oil temperature and the preset sampling period, and the accumulated thermal stress is used for representing the sum of thermal damage borne by the grease in the storage period; calculating a target temperature at the current moment based on the rheological resistance index and the accumulated thermal stress; and the environment relative humidity and the environment temperature are collected, environment coupling correction is carried out on the target temperature according to the environment relative humidity and the environment temperature, and closed-loop control is carried out on the storage tank by taking the corrected temperature as a final set value. According to the invention, the heating strategy can be adaptively adjusted according to the rheological resistance and accumulated thermal stress of grease, and active defense can be realized in a high-humidity environment.

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 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 provides a remote sensing estimation method for high spatial-temporal resolution crop evapotranspiration in an arid and semi-arid region, which comprises the following steps of: acquiring cloudless or less-cloudless high spatial resolution optical remote sensing data of a crop growing season in a research region, and calculating or inverting remote sensing earth surface parameters required by high spatial resolution evapotranspiration; comprising a vegetation index NDVI, a leaf area index LAI, a vegetation coverage FVC, a surface water index LSWI and a surface albedo; the method comprises the following steps: acquiring meteorological reanalysis data of daily scales ERA5-Land and GLADAS of a research area, wherein the meteorological reanalysis data comprises relative humidity RH, average temperature Ta, air pressure Pa, solar short-wave radiation # imgabs0 #, downward long-wave radiation # imgabs1 # and upward long-wave radiation # imgabs2 #; according to the technical scheme, multi-source remote sensing data, an evapotranspiration physical model and a space-time fusion technology based on evapotranspiration characteristics are utilized, and estimation of high space-time resolution evapotranspiration of the arid and semi-arid agricultural areas is achieved.

The invention discloses a greenhouse climate multi-target intelligent control method fusing rule constraint and reinforcement learning, and relates to the technical field of agricultural environment control, and the method comprises the following steps: building a temperature and humidity dynamic model based on an energy conservation law, and coupling an external environment disturbance term to obtain a temperature and humidity dynamic model; establishing a mapping relation among the temperature, the relative humidity and actuator input data, generating multiple groups of interval training data based on the mapping relation, constructing an intelligent decision model, and screening out an optimal actuator state vector by taking the deviation degree of an environment target value and an interval range as an evaluation criterion; and setting a difference mediation threshold value of mutual exclusion operation for safety correction, adopting environment adjustment difference and energy consumption minimization as optimization objectives, designing a multi-objective reward function, and determining an optimal control instruction, thereby updating an intelligent decision-making model, realizing accurate and efficient greenhouse climate control, enabling the comprehensive control of temperature and humidity to be more accurate and reasonable, and improving the reliability of the greenhouse climate control. And the energy consumption is reduced.

Some embodiments of the present disclosure provide inventive concepts for estimating a value for an environmental heat stress index at a target microscale location. Meteorological data indicative of parameters such as relative humidity, air temperature, wind characteristics, or atmospheric cloud cover for a geographic area representative of a larger geographic area that includes the target microscale location can be obtained. Localized terrain data specific to the target microscale location can be obtained. A bias correction can be performed on the meteorological data based on the localized terrain data, generating microscale meteorological data that reflects conditions at the target microscale location. The heat stress index value, representing heat-related risk specific to the target microscale location, can be determined using the microscale meteorological data and can be a real-time or forecast value used for providing actionable insights or alerts for health and safety purposes.