38 results about "Net radiation" patented technology

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 invention belongs to the technical field of water resources and atmospheric climate, and discloses a reservoir water surface evaporation capacity calculation method based on a genetic algorithm, which comprises the steps of data collection, variable screening, model construction, model verification and evaporation capacity calculation. According to the method, variable screening and model construction are optimized through a genetic algorithm, the synergistic effect of key factors such as water temperature (Tw) and net radiation (Rn) is mainly captured, and an air temperature-humidity interaction item is introduced to reflect the inhibition effect. According to the independent data set verification of the Three Gorges Reservoir in 2018-2021, the mean absolute error (MAE) of the model is reduced to 0.21 mm / d, the precision is improved by 108% compared with the Penman formula (MAE = 1.297 mm / d), the measurement and calculation deviation of the evaporation capacity of the complex water area is remarkably reduced, and the actual thermodynamic process is better met.

The invention discloses a temperature control method, device and equipment for semiconductor equipment and a storage medium, and relates to the technical field of temperature control, and the method comprises the steps: calculating the equivalent radiation temperature of the brightness of a slit cavity observation band based on the brightness of the slit cavity observation band in an edge infrared observation annular region of a rapid heat treatment furnace and the surface emissivity of a wafer; solving the equivalent temperature of the inner edge of the quartz clock cover; on the basis of the equivalent radiation temperature and the equivalent temperature of the inner edge of the quartz clock cover, net radiation heat incoming power transmitted to a wafer edge belt of the wafer by an annular slit radiation cavity in the rapid heat treatment furnace is calculated; and solving a target lamp area power replacement vector of the rapid heat treatment furnace based on the net radiation heat incoming power. According to the invention, the initiative and accuracy of wafer edge temperature control can be improved.

The invention discloses a contribution decomposition calculation method for lake expansion. The contribution decomposition calculation method comprises the following steps: extracting a lake area through a remote sensing image and a digital elevation model, inverting water volume change, judging a rainfall phase state by using a temperature threshold method, estimating ice and snow ablation amount in combination with a degree-day factor method, and calculating a glacier runoff total amount; constructing a single-layer evaporation model, calculating flux of net radiation, sensible heat, latent heat, water body heat storage and the like based on a lake surface energy balance equation, and obtaining daily lake surface evaporation capacity; quantile mapping and Bayesian fusion are combined, and lake surface rainfall is corrected; non-glacial runoff is calculated according to a lake water balance equation; dividing a stable period and an expansion period according to the lake area trend, calculating an abnormal value of the expansion period by taking the hydrological mean value of the stable period as a reference, and finally determining the expansion contribution of each hydrological factor according to the increment proportion of the abnormal value in the total water quantity. Through the method, the contribution intensity of different driving factors is determined, scientific support is provided for lake change simulation and evolution prediction, and ecological protection and management strategies are more targeted.

The invention discloses an intelligent garden irrigation control method, and relates to the technical field of garden irrigation, and the technical scheme is characterized in that the method comprises the following steps: collecting soil humidity, temperature and net radiation through a soil parameter detection module; acquiring wind speed, illumination intensity and future rainfall prediction through a meteorological data acquisition module; calculating and outputting a dynamic irrigation demand index based on an edge analysis module; the pressure compensation module generates a valve control instruction based on pipe network position analysis. According to the system, the dynamic irrigation demand index is calculated and output through diversified collection and the edge analysis module, so that precise irrigation can be carried out on the garden according to the actual demand; by arranging the pressure compensation module, the actual flow of each position of the pipe network can be dynamically calculated, and the flow of the pipe network is adjusted, so that the flow difference of each position of the pipe network can be reduced, and irrigation of each position of the garden is more comprehensive and accurate.

The application discloses a lake expansion contribution decomposition calculation method, extracts lake area and reverses water quantity change through remote sensing image and digital elevation model, discriminates precipitation phase state by using a temperature threshold method, estimates ice and snow ablation amount by combining a degree-day factor method, and calculates total glacier runoff; a single-layer evaporation model is constructed, net radiation, sensible heat, latent heat and water body heat storage and other fluxes are calculated based on a lake surface energy balance equation, and daily lake surface evaporation is obtained; quantile mapping and Bayesian fusion are combined to correct lake surface precipitation; non-glacier runoff is calculated according to a lake water balance equation; the stable period and the expansion period are divided according to the lake area trend, the stable period hydrological mean value is taken as a benchmark to calculate the expansion period abnormal value, and finally, the expansion contribution of each hydrological factor is determined according to the proportion of the abnormal value in the total water quantity increment. Through the method, the contribution intensity of different driving factors is clear, scientific support is provided for simulating lake change and predicting evolution, and ecological protection and management strategies are more targeted.

The application discloses a kind of evaporation loss calculation method and device considering water body heat storage change, and it is related to hydrology and water resources technical field.The method steps include: obtaining the meteorological element data and water body element data monitored by device and arranging data;Based on daily average temperature and relative humidity, calculate the saturated water vapor pressure difference and the slope of the saturated water vapor pressure difference and temperature relationship curve;Based on the principle of energy balance, calculate the four components of net radiation, and then obtain the water surface net radiation;Based on the balanced temperature method, calculate the average temperature of water body and heat storage change;Based on the water body evaporation model considering the influence of heat storage change, calculate the daily evaporation rate of water body;Collect or construct the water depth-area relationship curve of water body, and calculate the daily evaporation loss of water body by using the product of evaporation rate and water body area.The present application can realize the reliable calculation of open water daily evaporation loss, thereby effectively supporting the healthy operation of water supply reservoir and the scientific planning and management of water resources.

The invention relates to the technical field of building physics and artificial intelligence crossing, and discloses a traditional village dwelling thermal performance prediction system based on deep learning, comprising a data acquisition module for acquiring solar radiation, wind speed and direction, internal and external pressure difference and indoor and outdoor temperature; the radiation decoupling network module is used for predicting the net radiation heat flux of the outer surface according to the solar radiation, the sun position and the component posture; the microclimate permeation network module is used for predicting a convective heat transfer regulation factor according to the pressure difference, the wind and the opening state; the implicit state network module adopts a circulation structure and introduces an implicit thermal state vector to represent the thermal inertia of the enclosure structure; and an indoor thermal environment integration module that integrates the convective heat flux based on the heat balance and outputs an indoor air temperature predicted value. According to the system, through decoupling modeling of radiation, permeation and heat transfer of the enclosure structure, prediction interpretability of the indoor thermal environment of a traditional dwelling is improved, and the system is suitable for building scenes which are built with non-standard materials such as rammed earth and depend on natural ventilation.

This invention discloses a calculation method for an optical model of a parallel slat transparent heat-insulating window, including: determining environmental parameters such as the sun's position; determining the solar radiation value and the incident angle of direct radiation; determining the maximum number of reflections and the incident light segmentation ratio; calculating the transmittance of direct-to-direct radiation from the slats; calculating the transmittance and reflectance of direct-to-scattered radiation from the slats; calculating the transmittance and reflectance of scattered-to-scattered radiation from the slats; determining the transmittance, reflectance, and absorptivity of back radiation transmission; calculating the transmittance and reflectance of direct radiation, and the transmittance and reflectance of scattered radiation from the single-pane glass; calculating the solar radiation transmission through the parallel slat transparent heat-insulating window using the net radiation method; and further fitting a simplified formula for calculating solar transmittance. This invention enables designers to perform optical calculations on parallel slat transparent heat-insulating windows and reasonably evaluate their performance and energy-saving potential.

The invention discloses an integrated passive water taking device and system based on MXene interface evaporation and radiation refrigeration. The top cover of the device is arranged in a left-high and right-low mode in the transverse direction. The left side is a heating evaporation area, an MXene heat absorption layer is adopted, and liquid is continuously supplied through a capillary water supply layer to form thin liquid film interface evaporation. A selective radiation cooling film is attached to the outer side / the upper side of the condensation glass plate, high reflection is achieved in the solar spectrum, high emission is achieved in an 8-13-micron atmospheric window, the net radiation cooling capacity is achieved in the daytime, and the temperature of the inner surface of the plate is close to or lower than the environmental dew point so that water vapor can be stably condensed. A steam short-distance transmission channel from left to right is formed below the upper cover, and condensate is rapidly discharged to the flow collecting groove along the hydrophilic flow guide lines and is discharged from the water outlet; the bottom phase change energy storage (PCM) layer suppresses thermal leakage and smoothes irradiation fluctuations. The device realizes a closed loop of left evaporation, right condensation and right drainage under the condition of no external work, has the advantages of stable condensation in the daytime, low heat loss, salt deposition resistance, friendly maintenance and the like, and is suitable for the scenes of seawater desalination, brackish water treatment, solution regeneration and the like.

This application provides a remote sensing prediction method and system for crop drought based on energy decoupling. The method includes acquiring a target dataset of a target area at the current time, wherein the target dataset includes canopy temperature data, net radiation data, evapotranspiration data, meteorological data, and vegetation parameters of the target area; processing the target dataset using a dual-source energy balance model to separate the canopy and soil temperatures, obtaining the soil surface temperature, canopy sensible heat flux, and soil surface heat flux of the soil surface in the target area at the current time; generating the soil temperature for the next time based on the soil temperature at the current time, according to the target dataset, canopy sensible heat flux, soil surface heat flux, and soil surface temperature; and analyzing the target dataset and the soil temperature for the next time time using a drought prediction model to obtain the analysis results of crop drought conditions at the next time time, wherein the analysis results characterize the degree of drought of crops in the target area.

The present application relates to the technical fields of high temperature gas cooled reactor, and discloses a kind of high temperature gas cooled reactor prism core thermal hydraulic calculation method, comprising: the core is discretized into calculation unit, and the core physical structure is mapped into calculation component;Build series heat resistance network model, obtain the total heat transfer coefficient between fuel component and graphite matrix component in the same calculation unit, and then obtain real-time heat flux density;Obtain the axial heat transfer rate between the calculation components directly contacted between adjacent axial calculation units;Obtain the radial heat transfer rate between the calculation components directly contacted between adjacent radial calculation units;Obtain the convective heat transfer coefficient and convective heat transfer rate between the surface of graphite matrix component and reflection layer component and the fluid flowing through the coolant channel, obtain the net radiation heat transfer rate;Obtain the temperature of each component, the outlet temperature of the core, the pressure difference between adjacent calculation units along the core and the average reactor pressure drop by the above results.The present application accurately simulates the thermal hydraulic behavior of PMR core.

The embodiment of the invention discloses an underground water level prediction method based on machine learning, and the method comprises the following steps: S1, obtaining historical related data of to-be-detected underground water, and carrying out the preprocessing of the historical related data; the historical related data at least comprises historical underground water level data and historical meteorological data; the historical meteorological data at least comprises historical precipitation data, historical evapotranspiration data, historical temperature data, historical humidity data, historical daily net radiation data and historical wind speed data; s2, constructing a machine learning model, and training the machine learning model based on the preprocessed historical related data and a Bayesian-k fold cross validation method to obtain a target underground water level prediction model; and S3, predicting the underground water level through the target underground water level prediction model.

The present invention discloses a method and system for separately measuring the net radiation heat flux and convection heat flux of a high-temperature component, comprising: obtaining the wall temperature of a test piece through a wall temperature measurement test, and calculating the total heat flux based on the wall temperature of the test piece; obtaining mainstream parameters, and judging the mainstream parameters to obtain a temperature recovery coefficient; performing parameter transformation on the total heat flux based on the temperature recovery coefficient, obtaining the convection heat transfer coefficient, radiation temperature and radiation coefficient through ternary linear regression based on the parameter transformation result, and calculating the net radiation heat flux and convection heat flux based on the convection heat transfer coefficient, radiation temperature and radiation coefficient.

The invention discloses a crop multi-level drought monitoring method based on multi-source data fusion. The method comprises the following steps: step 1, establishing a soil-canopy-air three-level drought diagnosis architecture: performing soil layer monitoring by using a multi-layer embedded FDR / TDR sensor; a visible light-multispectral-thermal infrared three-in-one crop growth monitoring device is used for canopy monitoring; based on a four-element weather station, an air temperature and humidity sensor, an anemorumbometer and a net radiation sensor are used for monitoring an air layer; step 2, canopy and plant phenotype measurement and inversion; and step 3, constructing a multi-level model of the fused phenotype. By integrating multi-dimensional information such as soil moisture content, canopy phenotype and environmental meteorology, comprehensive drought diagnosis from soil moisture and canopy evapotranspiration to crop physiology is realized, and a more accurate and timely scientific basis is provided for agricultural drought resistance decision.

This invention belongs to the field of farmland carbon sink prediction technology, specifically involving a method and system for predicting farmland carbon sinks based on meteorological factors. It scientifically selects key control factors (net radiation, soil temperature, saturated vapor pressure difference, and soil moisture content) using a recursive feature elimination method to ensure that the input features have clear ecological significance. A composite loss function containing physical constraints and temporal consistency terms is designed to embed the photosynthetic mechanism and the dynamic changes in carbon sinks into the model training objective. An AR-RF additive ensemble model is used to progressively fit the residuals, improving prediction accuracy and endowing the model with ecological interpretability and robustness under extreme conditions. This constrains the pure data-driven model output, thereby improving the prediction accuracy of farmland carbon sinks.

The invention relates to an intelligent street lamp turn-on control method and system considering special meteorological factors, and the method comprises the steps: calculating reference radiation based on an NARP clear sky net radiation model, and carrying out the real-time collection of precipitation, visibility and relative humidity data through an automatic meteorological station; and dynamically generating a meteorological adjustment coefficient through sliding window statistics and a logarithm-linear scaling algorithm, and comprehensively adjusting the reference radiation to obtain the actual received radiation intensity of the earth surface. And when the adjusted radiation value is lower than a preset threshold value, a street lamp turn-on instruction is automatically triggered. According to the method, expensive sensors do not need to be added, and the attenuation influence of special weathers such as rainstorm and low visibility on illumination can be accurately quantified only by using conventional meteorological data. Actual measurement shows that the method reduces the root-mean-square error of the turn-on time to 8.2 minutes, obviously solves the problem that the turn-on of the street lamp lags behind or is too early in special weather, has the advantages of high precision, low cost and easy popularization, effectively guarantees traffic safety and saves energy.

The invention relates to the technical field of hot blast stove spark detection, in particular to a hot blast stove spark detection method and system based on optical-thermosensitive bimodalities, and the method comprises the steps: setting a plurality of detection sections in a target detection area, and synchronously obtaining the temperature data, infrared data and airflow data of one or more sections; constructing a direction sensing temperature field of the detection section based on the temperature data and the airflow data; constructing an infrared radiation field of the detection section by using the infrared data; the direction sensing temperature field is converted into a radiation field through a temperature-radiation conversion algorithm, the radiation field is used for compensating an infrared radiation field of the detection section, and a net radiation field without background temperature interference is obtained; and performing spatial-temporal feature fusion detection on the net radiation field so as to realize Mars detection.

This application provides a method for segmenting surface available energy, which can be applied to the field of climate and hydrological remote sensing technology. The method includes: acquiring surface environmental observation data of a target area at multiple times within a target duration; based on the surface environmental observation data at multiple times, determining target surface environmental variables corresponding to the target duration, including vegetation variables characterizing surface vegetation status, and average and fluctuating state variables of surface temperature, net surface radiation, and air temperature within the target duration; based on the target surface environmental variables, using an evaporation ratio expression to characterize the change of evaporation ratio with surface environmental variables, determining the target evaporation ratio corresponding to the target duration; and based on the target evaporation ratio, performing energy segmentation processing on the target surface available energy of the target area within the target duration to obtain the target latent heat flux and target sensible heat flux corresponding to the target duration.

The invention discloses a multi-source remote sensing daily-scale plot-level crop irrigation water demand forecasting method and system, and relates to the technical field of agricultural water-saving irrigation, remote sensing data processing and WebGIS online services, and the method comprises the following steps: S1, data preprocessing; s2, modeling with reference to crop evapotranspiration deviation; s3, rainfall deviation modeling is carried out; s4, carrying out model migration and forecast correction; s5, performing net radiation correction and ET0 calculation; s6, crop evapotranspiration and irrigation water demand calculation; and S7, outputting and issuing a result. According to the multi-source remote sensing daily scale plot-level crop irrigation water demand forecasting method and system, remote sensing data, reanalysis / forecast meteorological data, crop parameters and a high-resolution crop distribution map layer are combined, irrigation water demands of different crops at different time periods can be dynamically calculated on the basis of correcting meteorological data deviation, and the irrigation efficiency is improved. And the result is visually published through the platform, so that scientific decision support is provided for agricultural irrigation scheduling.

The application discloses a kind of intelligent garden irrigation control methods, it is related to garden irrigation technical field, and its technical solution points are as follows: including the following steps: soil humidity, temperature, net radiation are collected by soil parameter detection module;Wind speed, light intensity and future rainfall prediction are obtained by weather data acquisition module;Dynamic irrigation demand index is calculated based on edge analysis module output;Pressure compensation module generates valve control instruction based on pipe network position analysis.The application can accurately irrigate gardens according to actual needs by collecting multiple data and calculating dynamic irrigation demand index with edge analysis module;By setting pressure compensation module, the actual flow size of each position of pipe network can be dynamically calculated, the flow size of pipe network is adjusted, and the flow difference of each part of pipe network can be reduced, so that the irrigation of each part of garden is more comprehensive and accurate.

The invention discloses a substrate-independent nonmetal transparent radiation cooling structure, which comprises a substrate and a transparent radiation cooling film plated on the substrate, the film system structure of the transparent radiation cooling film is substrate / MBAB / Air, A represents an indium tin oxide film with the thickness of 40nm, B represents a hafnium oxide film with the thickness of 1450nm, and M represents an indium tin oxide film with the thickness of 200nm; the non-metal transparent radiation cooling structure has an obvious selective absorption effect within the infrared spectrum range of 3-14 microns, the radiation net cooling power of the non-metal transparent radiation cooling structure reaches 114.0 W / m < 2 >, and the non-metal transparent radiation cooling structure can show good environmental stability in the environment with the humidity of 85% and the temperature of 85 DEG C.

The application discloses a time-varying glacier degree-day factor calculation method suitable for plateau areas, and the method comprises the following steps: step 1, multi-source data collection and processing; step 2, key driving factor screening; step 3, dynamic relationship model establishment; and step 4, time-varying glacier degree-day factor calculation. The method couples albedo and solar radiation, establishes the physical connection between the degree-day factor and the net radiation, realizes the dynamic calculation of the glacier degree-day factor, significantly improves the precision of glacier ablation simulation and prediction, effectively solves the applicability problem in the complex underlying surface area, reduces the data acquisition threshold and cost of large-scale application, and provides more accurate data support for water resource management and disaster warning.

The application provides a kind of dynamic simulation method of rice dry matter, including constructing the relationship between rice leaf area and dry matter, based on observed net radiation, air temperature and soil moisture content and calculated rice leaf area, using dynamic Priestley-Taylor model to estimate rice daily transpiration, based on the obtained rice daily transpiration and observed water vapor pressure difference data to calculate gross primary productivity, based on observed air temperature data to calculate daily actual maintenance respiration rate, based on the gross primary productivity calculated in step 3 and the daily actual maintenance respiration rate calculated in step 4 to dynamically simulate dry matter growth rate, the application provides a kind of dynamic simulation method of rice dry matter, which can predict the dry matter production of rice on any day after planting with limited data, and the model parameters are less, only need net radiation, temperature and humidity data to predict, in addition, the influence of CO2 and temperature rise on rice dry matter production can be evaluated.

The invention relates to the technical field of aero-engines, in particular to a high-frequency composite heat flux detection device suitable for an aero-engine combustion chamber, which comprises a shell of a cylindrical structure, a first window hole and a second window hole are formed in the upper end wall of the shell in a penetrating manner, and a protection window is embedded in an upper end hole opening of the first window hole in a sealing manner; a net radiation heat flux probe is installed in the first window hole, a total heat flux probe is installed in the second window hole, the net radiation heat flux probe comprises a first substrate, an yttrium barium copper oxide sensitive layer and a first heat absorption layer are sequentially fixed to the upper surface of the first substrate in a stacked mode from bottom to top, and the total heat flux probe comprises a second substrate. A thermopile sensitive layer, a thermal resistance layer, a protection layer and a second heat absorption layer are sequentially stacked and fixed on the upper surface of the second substrate from bottom to top. The problems that an existing heat flux detection device is incomplete in measurement, low in measurement precision and low in response speed when applied to the aero-engine combustion chamber are solved, and the device is suitable for thermal protection design of the aero-engine combustion chamber.

The invention provides an ecological system circulation regulation and control method and system based on a VIC hydrological model, and relates to the technical field of photovoltaic agricultural water resource regulation and control. The method comprises the following steps: firstly, establishing a first VIC hydrological model consisting of a water balance equation and an energy balance equation, then, correcting the relationship between energy and water circulation in the first VIC hydrological model according to the setting condition of a photovoltaic panel so as to enable obtained related parameters to better conform to the actual condition, and then, establishing a second VIC hydrological model consisting of a water balance equation and an energy balance equation, the maximum net radiation value and the minimum photovoltaic panel height are taken as optimization targets, first photovoltaic panel setting information with the optimal power generation efficiency is determined from the multiple sets of photovoltaic panel setting parameters, and then first plant planting information and first water resource dynamic regulation and control information are determined. According to the technical scheme, the VIC hydrological model is corrected according to the erection condition of the photovoltaic panel, so that the photovoltaic panel setting information, the plant planting information and the water resource dynamic regulation and control information which better meet the actual requirements can be determined.

The application discloses a temperature control method and device of a semiconductor device, equipment and a storage medium, and relates to the technical field of temperature control, and comprises the following steps: based on the slit cavity observation band brightness of the edge infrared observation annular area of a rapid thermal processing furnace and the surface emissivity of a wafer, the equivalent radiation temperature of the slit cavity observation band brightness is calculated; the equivalent temperature of the inner edge of a quartz bell jar is solved; based on the equivalent radiation temperature and the equivalent temperature of the inner edge of the quartz bell jar, the net radiation incident heat power transmitted from the annular slit radiation cavity of the rapid thermal processing furnace to the wafer edge band of the wafer is calculated; and based on the net radiation incident heat power, the target lamp area power replacement vector of the rapid thermal processing furnace is solved. The application can improve the initiative and accuracy of wafer edge temperature control.

The invention relates to a method and device for predicting the refrigerating capacity of a radiation refrigeration system and electronic equipment, and the method comprises the steps that operation sample data of the radiation refrigeration system in the historical period are obtained, and the operation sample data comprise environment parameters and operation state parameters of the radiation refrigeration system; determining a physical model of the radiation refrigeration system based on the physical expression of the net radiation refrigeration capacity of the surface of the radiation material film in the radiation refrigeration system; training the deep learning model based on the physical model and the operation sample data to obtain a refrigerating capacity prediction model; and predicting the predicted refrigerating capacity corresponding to the real-time operation data of the radiation refrigeration system based on the refrigerating capacity prediction model, and regulating and controlling the control mode of the radiation refrigeration system. Therefore, by combining the physical model and the deep learning model, complex dynamic behaviors of the radiation refrigeration system are accurately captured, real-time and accurate prediction of the refrigerating capacity of the radiation refrigeration system is achieved, and the energy efficiency of the radiation refrigeration system is effectively improved.

The present application belongs to the technical field of surface heat flux estimation, and particularly relates to a method and system for estimating surface heat flux by considering spectral characteristics of vegetation coverage. The method comprises the following steps: decomposing surface temperature based on spectral characteristics of vegetation coverage; decomposing reference point surface temperature based on spectral characteristics of vegetation coverage and radiation balance; decomposing reference point surface temperature based on spectral characteristics of vegetation coverage and balance of sensible and latent heat fluxes; solving reference point surface temperature and its components; and calculating surface heat flux and its components. The present application realizes the decomposition of surface temperature by using different remote sensing indexes of surface vegetation coverage, reduces the uncertainty of estimating bare soil net radiation flux and vegetation net radiation flux by using the reflection characteristics of different wave bands of vegetation coverage remote sensing, and realizes the accurate positioning of reference dry and wet points in the segmentation of surface heat flux by the different degrees of influence of different wave band characteristics of vegetation coverage on sensible and latent heat fluxes, thereby providing technical support for weather forecasting, agricultural production, water resource management and the like.

The application relates to the technical field of heat dissipation devices, in particular to an integrated asymmetric radiation envelope structure heat dissipation system for a computing power computer room, which comprises a heat dissipation module, a running module, a heat import optimization module, an image sensing module, a data acquisition module, a data processing module, a data analysis module and an execution module. The system preprocesses the running data of the received heat dissipation module, judges the heat dissipation efficiency of the system through the effective net radiation heat dissipation power density and a preset threshold value, adjusts the average mirror reflectivity of the photon mirror based on the judgment result, and further determines the standard effective net radiation heat dissipation power density according to the adjustment result. The application realizes the unified processing and analysis performance optimization of the heat dissipation system, effectively reduces the effective net radiation heat dissipation power density of the envelope structure heat dissipation system of the application, and improves the resource utilization rate.