31 results about "Global solar radiation" patented technology

The invention discloses a large-range high-frequency all-sky earth surface solar irradiance machine learning estimation method and system suitable for a cloudy area, and relates to the technical field of irradiance estimation, and the method comprises the steps: obtaining earth surface radiation observation data, generating a station position table, and constructing a training data set; constructing a ground solar radiation degree model, and dividing the training data set into a training set and a test set according to a proportion of 80% to 20%; determining hyper-parameters of the Xgboost algorithm through parameter search, training the model on the training set, and checking the model by using the test set; new satellite reflectivity is used for observing data and meteorological elements, data cleaning is carried out, and the model is input to estimate the space-time distribution of the total solar radiation irradiance of the earth surface. According to the method, the space and time precision of radiation inversion is improved, the complex nonlinear characteristics and data interaction relation are accurately captured, efficient inversion of the earth surface solar radiation degree is achieved, and the prediction performance and generalization ability of the model are remarkably improved.

The invention relates to the technical field of building energy saving, and discloses an energy room intelligent control method and system facing the sunlight condition, and the method comprises the steps: obtaining the total solar radiation intensity and scattered radiation intensity through a distributed sensor disposed in an energy room; calculating a sunlight illumination component proportion based on the total solar radiation intensity and the scattered radiation intensity, and determining a sunlight type according to the sunlight illumination component proportion; according to the sunshine type, the influence of sunshine change on the indoor thermal environment is evaluated by adopting a prediction algorithm branch, and the indoor temperature and humidity change trend and the thermal load demand in the future time period are predicted; based on the indoor temperature and humidity change trend and the heat load requirement in the future time period, combined with the heat mass energy storage level of the energy house building, a comprehensive regulation and control instruction matched with the sunlight type is generated; and according to the comprehensive regulation and control instruction, regulating and controlling the heat mass storage and release of the sunshade device, the ventilation system and the building, monitoring the regulation and control effect in real time, and optimizing the prediction algorithm according to the regulation and control effect. And regulation and control of the energy house under the sunlight condition are realized.

The invention provides an existing curtain wall door and window solar heat gain coefficient field detection and evaluation method and system. The method comprises the steps that a data collector is used for receiving and displaying sensor data; the total solar radiation meter comprises an indoor total solar radiation meter and an outdoor total solar radiation meter and is used for measuring indoor and outdoor total solar radiation illumination; the temperature sensor comprises an indoor air temperature sensor and an outdoor air temperature sensor and is used for monitoring indoor and outdoor air temperatures; the heat-flow density meter is used for measuring heat-flow density; the fixing support is used for installing and adjusting the vertical receiving angle of the indoor total solar radiation meter. The external sucker is used for fixing the outdoor total solar radiation meter. The method has the remarkable advantages in the aspects of measurement precision, dynamic monitoring, secondary heat transfer effect, operation simplicity and convenience, application scene diversity, energy-saving transformation support, data processing integration, safety and the like; through the combined action of the advantages, the system has important application value and wide market prospect in the field of building energy conservation.

A method of forecasting a maximum wind intensity associated with tropical cyclones, the method includes identifying a three-dimensional (3-D) field of ocean temperature and velocity, identifying a two-dimensional (2-D) field of sea surface temperature, tropopause temperature, surface level winds, incoming total solar radiation, and outgoing longwave radiation, determining a set of heat fluxes associated with ocean heat, and generating a 2-D map of the maximum potential intensity (MPI) based on (i) the set of heat fluxes and (ii) the first and second sets of data. The method may include training a machine learning model based on the first and second sets of data or the 2-D map of the MPI, and performing, based on the trained machine learning model and the 2-D map of the MPI, a mitigating activity corresponding to anticipated effects associated with the determined upper bound for tropical cyclone wind speed at a geographical location.

The invention discloses a DEM-based earth surface solar radiation prediction method, equipment and a medium. The method comprises the following steps: correcting a direct radiation reference value based on nonlinear attenuation of a cloud layer to direct radiation to obtain actual direct radiation; based on the enhancement effect of the cloud layer on the scattered radiation, correcting the scattered radiation reference value to obtain first actual scattered radiation; according to a preset shadow judgment criterion, calculating actual horizontal plane direct radiation after the actual direct radiation reaches the earth surface by taking the condition that the slope surface back to the sun has no direct radiation as a constraint; calculating second actual scattered radiation after the first actual scattered radiation reaches the earth surface according to the control of the sky vision field factor of the earth surface area on the scattered radiation; calculating reflected radiation generated after the actual direct radiation and the first actual scattered radiation reach the earth surface based on the Lambert reflection law; therefore, the total solar radiation is obtained. According to the invention, high-precision quantification of earth surface solar radiation under complex terrain conditions is realized.

1. The name of the design product: farmland environment multi-modal high-throughput intelligent sensing equipment. 2. The use of the design product: as a sensing detection device, detecting temperature, humidity, atmospheric pressure, wind speed, wind direction, total solar radiation, illumination, rainfall, carbon dioxide content, and particulate matter concentration in the farmland environment. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The application discloses a kind of inclined surface hourly solar radiation calculation method and related equipment, belong to solar energy resource assessment and building energy saving technical field.The method includes: obtaining horizontal plane solar radiation data and space-time information, and the inclination and azimuth of target inclined surface;Calculate solar elevation angle, solar incidence angle, clear sky index and horizontal plane scattering radiation ratio;Two scattering radiation conversion coefficients are obtained by using two basic models respectively;At least according to clear sky index, horizontal plane scattering radiation ratio and solar incidence angle to determine dynamic weight;Two scattering radiation conversion coefficients are weighted and summed with dynamic weight, to obtain combined scattering radiation conversion coefficient, and then obtain inclined surface hourly solar total radiation.The method is combined by dynamic weight based on weather state and solar position real-time change to two basic models with obvious difference in weather adaptability, overcome the limitation that single model is only accurate under certain weather, and does not depend on multi-regional long-term measured data, improve the calculation accuracy and applicability under all weather types.

The invention relates to the technical field of distributed photovoltaic power prediction, and discloses a CNN-SENet-Transfomer distributed photovoltaic ultra-short-term power prediction method based on an energy storage control strategy, and the method comprises the following steps: S1, carrying out the analysis of the influence factors of distributed photovoltaic power; selecting total solar radiation, direct solar radiation, scattered solar radiation and historical power as important characteristic factors; s2, constructing a CNN-SENet-Transfomer prediction model, connecting the CNN model, the SENet model and the Transfomer model in series, realizing weight dynamic adjustment of different total solar radiation, direct solar radiation, scattered solar radiation and historical power, and outputting predicted power; s3, predicting a model training optimization process; and S4, correcting the deviation of the predicted power curve. Accurate prediction of the distributed photovoltaic power station is realized by dynamically adjusting the weights of the historical meteorological features and the historical distributed photovoltaic power and highlighting important features, and finally the predicted power is corrected through the energy storage battery, so that the proportion of distributed photovoltaic access to the power grid is increased, and safe and stable operation of the power grid can be guaranteed.

The utility model discloses an integrated all-sky meteorological monitoring device, which comprises a box body, an ultrasonic meteorological instrument, an all-sky imager, a total solar radiation sensor, a power supply module and a communication module, and is characterized in that the ultrasonic meteorological instrument is arranged on one side of the top of the box body, and the all-sky imager is arranged on the other side of the top of the box body; a total solar radiation sensor is arranged along the horizontal direction of the top of the box body and the inclination direction of the front side of the box body respectively, the power supply module and the communication module are arranged in the box body, and the ultrasonic meteorological instrument, the all-sky imager and the total solar radiation sensors are electrically connected with the power supply module and the communication module respectively. The ultrasonic meteorological instrument, the all-sky imager, the total solar radiation sensor, the power supply module, the communication module and other components are integrated on the box body, the portability is high, the use is flexible, the field installation and debugging are convenient, and the installation and use efficiency is further improved.

The present invention discloses a method for calculating the maximum load loss hours of a photovoltaic power station's collector circuit, relating to the technical field of photovoltaic power stations. Based on the half-sine theory of global solar radiation, the method sets the photovoltaic power station's annual average maximum output coefficient α and the annual average power loss coefficient θ caused by factors such as weather to solar radiation, establishing a photovoltaic approximate output model. Based on the annual photovoltaic power generation and the AC-side installed capacity, the equivalent utilization hours #imgabs0# on the AC side are determined. Based on the correlation formula between the AC-side equivalent utilization hours #imgabs1# and the photovoltaic power generation and the approximate output model, the product of the coefficients α and θ is determined. Based on the annual available sunshine hours T and the product of the coefficients α and θ, the maximum load loss hours τ are determined. The present invention comprehensively considers the random influence of factors such as weather to establish a photovoltaic approximate output model, enabling a relatively accurate estimation of the maximum load loss hours of the collector circuit, thereby resolving the problem of excessive deviation in calculations based on lookup tables in power system manuals.

The invention discloses a method and a system for predicting output power of an offshore photovoltaic system, particularly relates to the technical field of power prediction data processing, and is used for solving the problem of insufficient prediction precision caused by the fact that the dynamic attitude change of a floating photovoltaic platform in waves is not considered in the existing prediction method. The method comprises the following steps: determining a dominant motion mode of a platform and generating a time-varying attitude angle sequence by acquiring real-time wave spectrum data and platform structure parameters of a target sea area; carrying out geometric coupling on the sequence and a sun position vector, and dynamically solving an effective sunlight incident angle cosine value on the surface of the photovoltaic panel; then combining real-time cloud layer monitoring information, comprehensively evaluating geometric attenuation caused by waves and atmospheric attenuation caused by cloud layers, and obtaining a comprehensive radiation attenuation degree; correcting the total solar radiation data of the horizontal plane by using the attenuation degree, and generating an effective solar radiation intensity sequence projected to the surface of the photovoltaic panel; and finally, inputting the sequence into a prediction model and outputting a predicted power value of the offshore photovoltaic system.

The invention belongs to the technical field of photovoltaic time series data enhancement, and relates to a neighborhood-global based generative solar irradiation intensity data enhancement method. Comprising the following steps: S1, constructing an improved Transform-GAN generative data enhancement model F based on a missing mask; s2, screening an optimal adjacent source domain photovoltaic site, taking a daily data matrix and a mask matrix as final input of a model F, and obtaining a single-site data enhancement result; S3, forming an original input data matrix Xr by a plurality of single-site data enhancement results obtained in S2, and inputting the original input data matrix Xr into the model F, the global solar irradiation intensity multi-time sequence data enhancement output of the model is obtained by calculating and splicing according to a daily curve. According to the method, power-irradiation cross-modal data enhancement and irradiation-irradiation homogeneous secondary restoration are realized by utilizing a two-layer cascade architecture, the global spatio-temporal data quality is optimized, and the data completion and restoration effects are improved.

The application relates to the technical field of photovoltaic power station evaluation, and particularly discloses a photovoltaic power station total solar radiation data correction method and system. The method uses high-precision ground surface radiation observation sequence data of a solar radiation in a certain range of the power station, corrects a weather scale radiation component, namely a low-frequency component, of meteorological satellite radiation sequence data at a position of the power station according to spatial similarity and randomness of total solar radiation through a wavelet analysis method, reduces deviation caused by an optical thickness related parameter model inversion, and improves evaluation accuracy of satellite radiation data.

The invention discloses an air environment monitoring device, and relates to the technical field of environment monitoring. Comprising a support rod, a mounting plate is fixedly mounted at the top end of the support rod, four annularly-arranged L-shaped fixed rods are fixedly mounted on the mounting plate, mounting blocks are fixedly mounted on the L-shaped fixed rods, and angle assemblies are arranged on the mounting blocks; a transverse plate is arranged on the angle assembly, a circular plate is fixedly mounted on the transverse plate, and a total solar radiation sensor is fixedly arranged on the circular plate; a driving assembly is arranged on the circular plate, and four solar panels are arranged on the driving assembly; an auxiliary assembly is arranged on the outer side face of the circular plate. Through cooperative use of the angle assembly, the driving assembly and the auxiliary assembly, the functions of the solar panel and the total solar radiation sensor are optimized, the solar panel and the total solar radiation sensor can effectively operate under different weather conditions, the service life of the solar panel is prolonged, and the efficiency of the whole detection device is improved.

The invention relates to the technical field of charge and discharge coordination control, in particular to a charge and discharge coordination control method and system for an optical storage type charging station, and the method comprises the steps: obtaining the total output power of the optical storage type charging station at each moment; clustering the total solar radiation power of the light storage type charging station in each time period to obtain a photovoltaic characteristic interval; the photovoltaic regularity of the light storage type charging station is obtained; photovoltaic data confidence of each time period is determined; determining the load regularity of the light storage type charging station based on the vehicle identification information of the light storage type charging station and the difference between all the total output powers in the adjacent time periods; when charging and discharging coordination of the light storage type charging station is carried out, photovoltaic characteristics and load characteristics of data are analyzed, data correlation is obtained, reference historical data are selected, photovoltaic power generation power and charging load power are predicted, and charging and discharging are controlled. The invention aims to improve the prediction precision of the photovoltaic power generation power and the load power and realize efficient scheduling of energy.

The present invention discloses a seasonal prediction method for total solar radiation based on ENSO and multiple teleconnection patterns, belonging to the technical field of solar radiation prediction. It uses a seasonal prediction model for total solar radiation to predict the total solar radiation in the corresponding season. The seasonal prediction model for total solar radiation is constructed through the following steps: calculating the seasonal anomalies of solar radiation year by year and performing EOF spatio-temporal decomposition; calculating the Niño3.4 index, EU index, and EAP index respectively, and reconstructing the solar radiation anomaly field based on the Niño3.4 index, EU index, and EAP index to obtain the reconstruction results of the solar radiation anomaly field in each season. Finally, adding back the total solar radiation climatology can obtain the seasonal prediction model for total solar radiation. Thus, it can be seen that the present invention combines the leading memory of the sea surface temperature in the tropical Pacific and the close influence of the mid-high latitude circulation, and can improve both the prediction lead time and prediction accuracy simultaneously.

This invention relates to the field of environmental simulation technology, specifically to a method, system, equipment, and medium for estimating the photolysis rate in an indoor reactor by measuring outdoor solar radiation flux. The method mainly includes correcting the total solar radiation flux based on direct light correction factors, scattered light correction factors, direct light radiation flux, scattered light radiation flux, and a solar radiation flux correction factor to obtain a corrected total solar radiation flux; establishing a photolysis rate model based on the corrected total solar radiation flux; and calculating the photolysis rate. A solar tracking system is built using a modified photolysis spectrometer to obtain the direct and scattered solar radiation flux. Direct and scattered light correction factors are determined using optical simulation, and the value of the solar radiation flux correction factor is verified using chemiphotometry. A precise quantitative model for the average photolysis rate inside the reaction chamber of a smoke chamber is established, enabling accurate calculation of the average photolysis rate within the smoke chamber through outdoor fixed-point measurement.

The present invention belongs to the field of solar total radiation measurement devices, and particularly relates to a solar radiation measurement device for a solar water heater. It includes a total radiation meter, an angle calibration mechanism, an angle adjustment mechanism, and a base. The total radiation meter is arranged on the base, and the base is connected to the total radiation meter through the angle adjustment mechanism. One side of the total radiation meter is connected to the angle calibration mechanism. When this design is in use, the device is placed beside the solar water heater, and then the reference plate is moved and placed on the heat collecting tube of the solar water heater. The telescopic rod is adjusted until the bottom surface of the reference plate is in full contact with the heat collecting tube. At this time, since the bottom surface of the reference plate is parallel to the horizontal rod, that is, the bottom surface of the reference plate is parallel to the total radiation meter, the inclination angle of the total radiation meter is exactly the same as the inclination angle of the heat collecting tube. This design has a clever structure, is lightweight, has a low cost, and can quickly adjust the angle of the total radiation meter by simply laying the reference plate flat, with precise adjustment, making the measurement result more accurate.

The utility model discloses an integrated solar radiation three-element measuring instrument, which comprises a lower shell, a circular upper cover is fixed at the upper end of the lower shell, and a hemispherical light-transmitting cover is buckled on the top surface of the upper cover; the top surface of the upper cover is provided with a plurality of rows of mounting holes and light guide columns; an arc-shaped shading ring is fixed on the top surface of the upper cover; an included angle is formed between the shading ring and the top surface of the upper cover; the shading ring spans above the plurality of rows of mounting holes; a signal acquisition plate is fixed at the top in the upper cover, a plurality of rows of photoelectric sensors are arranged on the signal acquisition plate, and the photoelectric sensors are in one-to-one correspondence with the light guide columns; and a measurement mainboard is arranged in the lower shell and is used for receiving signals of the photoelectric sensor. The measuring instrument is high in integration level, small in size, small in installation space, convenient to carry and reliable in work; synchronous measurement of total solar radiation, horizontal scattered radiation and horizontal direct radiation is realized, a mechanical moving part or an external solar tracking device is not needed, the problems of mechanical wear, clamping stagnation and the like are avoided, and the working reliability is remarkably improved.

The application provides a super-short-term photovoltaic power prediction method based on ground-based cloud images and multi-source data, relates to the technical field of solar radiation prediction, and comprises the following steps: collecting a sky image data set, wherein the sky image data comprises ground-based cloud image, solar radiation data and meteorological information data; based on the sun position in the ground-based cloud image, a spherical sky image is constructed, the spherical sky image is projected to a two-dimensional plane to obtain a plane sky image, and through the sun position information and the clear sky irradiance function, the first theoretical total solar radiation is obtained; the meteorological information data and the total solar radiation are pretreated to obtain standard meteorological information data and standard total solar radiation respectively; a sky image fusion prediction model is constructed, the standard meteorological information data, the standard total solar radiation and the first theoretical total solar radiation are input into the sky image fusion prediction model, and predicted total solar radiation and predicted photovoltaic power are obtained. The application is helpful to reduce the limitations possibly caused by a single data source and improve the comprehensiveness and accuracy of solar radiation prediction and photovoltaic power prediction.

1. The name of the design product: solar radiation measuring instrument. 2. The use of the design product: for the simultaneous measurement of total solar radiation, horizontal diffuse radiation and horizontal direct radiation. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view. 5. Other circumstances that need to be explained: the area shown in part A of the figure is transparent.

The invention discloses a method for simulating the diffusion range of a silver iodide catalyst generated by a ground smoke furnace, and the method comprises the steps: collecting multi-source observation data of a preset region, and carrying out the preprocessing of the multi-source observation data; the multi-source observation data comprises temperature, humidity, horizontal wind direction wind speed, vertical wind direction wind speed, total solar radiation, total cloud amount, thin cloud amount, thick cloud amount and cloud conditions; determining atmospheric stability according to the multi-source observation data, and obtaining an appropriate operation condition according to the atmospheric stability and the multi-source observation data by adopting an operation condition discrimination algorithm; determining parameters of a Gaussian point source diffusion model, and inputting catalyst data and the operation adaptation condition into the Gaussian point source diffusion model to obtain simulated diffusion density of the catalyst; parameters of the Gaussian point source diffusion model comprise a coordinate system, flue gas uplift and a diffusion coefficient; the Gaussian point source diffusion model is adopted to reversely deduce the rising height and the number of cigarette bars and verify the rising height and the number of cigarette bars, and if verification passes, the catalyst simulation diffusion density is output.

A global solar radiation amount estimation device includes: a feature amount acquisition unit that acquires power generation actual data including a power generation amount at a power generation point; and an estimation unit that estimates a global solar radiation amount corresponding to the power generation actual data acquired by the feature amount acquisition unit using a learned model that is generated by machine learning, as learning data, a set of the power generation actual data prepared in advance and a corresponding global solar radiation amount of ground observation, receives the power generation actual data as an input, and outputs the global solar radiation amount.

The invention provides a quality control method suitable for earth surface total solar radiation observation data, and relates to the technical field of meteorological observation and energy, and the method comprises the steps: obtaining the earth surface total solar radiation observation data from a ground station or a satellite, and executing the multi-dimensional quality control cooperative processing of integrity, internal consistency, stiffness value and physical possible limit; and dynamically calculating a physical limit interval according to the sun position parameter, screening an abnormal value, and marking data passing all verification as available data. By combining the geographic position and the observation time, the dynamic quality control threshold value is calculated, so that misjudgment and data loss caused by a unified standard are effectively avoided, quality control is performed on the earth surface total solar radiation observation data, the method can be applied to earth surface total solar radiation observation data quality control work, the error rate of the observation data can be effectively reduced, and the accuracy of earth surface total solar radiation observation data quality control is improved. And therefore, the accuracy and reliability of data quality control can be improved, and the credibility and availability of the data can be ensured.

The utility model relates to the technical field of meteorological monitoring, in particular to an automatic meteorological station data monitoring device, which comprises a frame body comprising a connecting frame, a waterproof box arranged on the surface of the connecting frame, a solar cell panel arranged on the surface of the connecting frame, a rain gauge arranged on the surface of the connecting frame, and a power supply arranged on the surface of the connecting frame. A photoelectric total solar radiation transmitter is arranged on the surface of the connecting frame, and a thermometer shelter is arranged on the surface of the connecting frame. The wind direction sensor can be placed below the pressing block through the placing groove by connecting the wind direction sensor with the placing groove, the rotating protruding block can be driven to rotate on the surface of the fixing shaft by rotating the adjusting handle by connecting the connecting frame with the fixing shaft and connecting the rotating protruding block with the adjusting handle, and the pressing block rotates along with the connecting block. The spongy cushion abuts against the surface of the wind direction sensor, so that the position of the wind direction sensor is fixed, the wind direction sensor is processed in the same way, and the effect of conveniently installing the wind direction sensor and the wind speed sensor is achieved.

The invention discloses a typical meteorological year data generation method and equipment for building overheating evaluation, and relates to the technical field of building comprehensive energy and intelligent control. The method comprises the steps that long-term meteorological data are acquired, and the long-term meteorological data at least comprise data related to outdoor parameters of the following items; dry-bulb temperature, relative humidity, wind speed and global solar radiation; based on the long-term meteorological data, overheat simulation in a free operation mode is conducted on the target building through a building energy simulation tool, so that indoor temperature data are obtained; calculating a correlation coefficient of each outdoor parameter in the indoor temperature data and the long-term meteorological data; based on the correlation coefficient, distributing a dynamic weight for each outdoor parameter; and generating typical meteorological year data and typical month selection based on the dynamic weight of each outdoor parameter. According to the invention, precision and target guidance of typical meteorological year data are realized.

The invention belongs to the technical field of remote sensing intelligent processing, and particularly relates to a radiometric calibration method and system based on a hyperspectral system. The method comprises the following steps: on the basis of a ground radiation calibration mode before a diffuse reflection plate takes off, acquiring total solar irradiance by utilizing a solar radiation summary table, and recording the total solar irradiance as TSI; establishing a radiation brightness model as a BRDF model based on the diffuse reflection plate; according to the TSI, utilizing a BRDF model to obtain the radiation brightness of the hyperspectral camera at the wavelength, and recording the radiation brightness as shown in the specification; performing correction processing to obtain a corresponding DN value, and recording the DN value as shown in the specification; through comparison, calibration of the hyperspectral system is realized. According to the invention, the calibration efficiency of the unattended hyperspectral system data can be improved.

The utility model designs a liftable inverter temperature rise testing device in a high-irradiation environment, which comprises a direct-current power supply, an alternating-current power supply, a total solar radiation meter measuring instrument and a data acquisition instrument, and is characterized in that a liftable mobile vehicle is arranged, an annular track is arranged at the upper top of the liftable mobile vehicle, and a power supply is arranged on the annular track; at least one movable support is arranged on the annular track, an adjustable illumination simulator is installed on the movable support, a sample hanging plate is placed on a bottom plate of the liftable moving vehicle, and a tested inverter is placed on the sample hanging plate. The utility model has the advantages that the height of the liftable mobile vehicle is adjustable, the liftable mobile vehicle can be moved to platforms with different capacities to carry out illumination tests, the top of the vehicle adopts the circular track, and the adjustable illumination simulator equipment is connected to the track through the bracket and can rotate 360 degrees along the track so as to simulate real illumination conditions in different use environments; and meanwhile, the temperature change of the product is monitored and recorded in real time by using data acquisition equipment.

The invention discloses a marine battery cooling system energy-saving method based on a dynamic environment heat flow benchmark, which comprises the following steps: synchronously acquiring multi-source heterogeneous data such as total solar irradiance, ship six-degree-of-freedom attitude, real-time meteorological and hydrological data, battery heat production rate and cooling system state parameters; constructing a time sequence feature set through confidence coefficient weighted fusion; establishing a digital twinborn model to calculate a comprehensive environment heat flow value for the battery compartment in real time; the total net heat management load is determined by combining the heat production rate of the battery, the total net heat management load is separated into a plurality of characteristic components through a frequency domain characteristic threshold value, and regulation and control sub-strategies are generated for all the components and fused to be issued to a cooling execution mechanism; and dynamically correcting the parameters of the load decoupling fusion regulation and control model based on the actual operation energy efficiency deviation of the cooling system. Accurate quantification of environment heat flow and dynamic separation and intelligent regulation and control of load characteristics are achieved, and the energy efficiency and the safety level of the marine battery cooling system are remarkably improved.

The invention belongs to the technical field of temperature spatio-temporal distribution, and discloses a method for quickly predicting underground soil temperature spatio-temporal distribution, which comprises the following steps of: acquiring annual hourly air dry-bulb temperature, air relative humidity, total solar radiation intensity irradiated to a horizontal plane, wind speed and earth surface soil humidity of a calculation site; the heat conductivity coefficient, the specific heat capacity, the density and the annual air temperature data decomposition limiting amplitude threshold value of underground soil are calculated; setting storage variables for storing the surface temperature and the temperature at the underground depth z of the soil; calculating annual hourly earth surface convection heat exchange amount, earth surface absorbed solar radiation amount, earth surface and sky long wave radiation amount and earth surface moisture evaporation heat dissipation amount; calculating the annual hourly comprehensive heat exchange coefficient; the annual hourly outdoor air dry-bulb temperature is decomposed into trigonometric function signals according to Fourier. According to the invention, data of outdoor air dry-bulb temperature and horizontal plane solar radiation intensity are obtained from meteorological data, and the underground temperature of any underground position and any time point can be predicted and calculated.