42 results about "Climate simulation" patented technology

The invention relates to the technical field of green intelligent building planning and design, and discloses a green intelligent building multi-factor fusion planning and design method. The method comprises the steps of firstly obtaining geographic information data and ecological environment parameters of a building site, collecting peripheral multi-dimensional environment data and performing fusion processing, constructing a three-dimensional space topology model, and generating an initial space planning model; and then climate simulation and resource circulation conditions are loaded, a comprehensive planning analysis model is formed, and dynamic collaborative evaluation indexes are output. A multi-factor coordination model and key coordination parameters are obtained by constructing a multi-objective optimization pre-training framework for iterative learning, and then a system collaborative simulation result is generated. And establishing a configuration model to optimize facility deployment parameters to obtain an optimal configuration scheme. And finally, dynamically adjusting parameters according to the efficiency evaluation framework to realize planning control of the green intelligent building. According to the method, multiple factors are integrated, optimization of building planning and design is achieved, and the sustainability and the intelligent level of the building are improved.

The invention discloses a panel vertical seam water stop structure repair effect evaluation method, which comprises the following steps of: firstly, synchronously obtaining surface crack and internal defect data through cooperative detection of infrared thermal imaging and ultrasonic flaw detection; and carrying out space alignment on point cloud data generated by three-dimensional laser scanning and an ultrasonic detection result, and establishing a BIM model containing a crack three-dimensional form. A practical engineering environment is simulated in a laboratory to carry out material accelerated aging and test key indexes such as an elastic recovery rate, a base surface state is evaluated through a temperature and humidity sensor array in a construction stage, a six-axis grouting robot is adopted to execute accurate filling, a curing process is monitored by a synchronous pre-embedded optical fiber sensor, and after aging is simulated by combining a hydraulic test with climate, a construction period is shortened. A distributed optical fiber network is used for continuously collecting deformation data, a comprehensive evaluation model is constructed based on mechanics, durability and sealing indexes, and finally material selection and process parameters are optimized through machine learning.

The invention discloses a summer rainfall forecast correction downscaling method and system based on deep learning, and belongs to the technical field of meteorological prediction and climate simulation. In order to solve the technical problems of systematic deviation and spatial detail missing in forecasting, a deep learning downscaling model is constructed for summer multi-mode climate forecasting data published six months ahead of time in combination with high-resolution observation data and topographic data, deviation correction and spatial super-resolution reconstruction are performed on a summer rainfall forecasting result, and a deep learning downscaling model is constructed. And outputting the kilometer-level summer precipitation field of the target area. The model improves the spatial feature capture capability of multi-scale climate elements through an attention mechanism, and realizes the adaptive fusion of meteorological elements and topographic factors through a topographic perception module, thereby enhancing the medium and long term prediction precision of summer rainfall in a complex topographic region. According to the method, global climate information and local topographic features can be effectively integrated, and high-precision technical support is provided for medium-and-long-term prediction of regional summer rainfall, disaster prevention and reduction in flood seasons and water resource scheduling.

The invention discloses a wind field correction method based on multi-stage hybrid physics-data driving, and relates to the technical field of wind field data processing and climate mode application. Executing dynamic downscaling simulation by using a regional climate simulation tool to obtain a multi-dimensional candidate variable field; screening target candidate climate variables according to ERA5 wind speed data, and forming a multi-dimensional key variable field; constructing a to-be-trained model comprising a multi-scale spatial feature extraction module, a time dynamic feature extraction module, a multi-scale spatio-temporal feature fusion module and an output module, and training by using the multi-dimensional key variable field to obtain a hierarchical multi-scale spatio-temporal fusion network for correcting wind field data; and by taking the wind field correction field as a boundary condition, generating a high-resolution wind field correction field by using a complex terrain micro-scale flow field refinement solver. The method not only improves the accuracy of wind speed prediction, but also ensures the physical authenticity and consistency of a high-resolution wind field under the influence of complex terrains through physical constraints.

The invention relates to the field of cable descending rope strength testing equipment, in particular to an ultrahigh molecular weight polyethylene fiber high-altitude cable descending rope strength detection device which comprises a plurality of strength testing assemblies, a climate simulation assembly, an environment simulation assembly and a stress simulation assembly. The strength testing assembly is used for testing the strength of the rope descending rope; the climate simulation assembly is used for simulating climate factors of the rope descending rope in the testing process; the environment simulation assembly is used for simulating environment factors of the rope descending rope in the testing process; the stress simulation assembly is used for simulating stress factors of the cable descending rope in the testing process, the conditions of stress, abrasion, lateral stress direction deflection, rope body deflection and the like of the cable descending rope in the actual falling process can be simulated, and the testing scene is made to be highly attached to the actual use scene of high-altitude mountain cable descending; therefore, more real and reliable strength performance data can be obtained.

The invention discloses a multi-physical field test device based on simulation of thunder and dust coupling, belongs to the technical field of climate simulation tests, and provides the following scheme that the multi-physical field test device comprises a test bin, and an upper sealing assembly is arranged above the test bin; the upper sealing assembly is lifted upwards, so that the sealing cloth is pulled open in advance to keep the test bin sealed, the lower sealing assembly is driven by the sliding rod to move upwards, the rotary clamping assembly drives the test piece to be separated from the sealing ring upwards, meanwhile, the protective cover makes contact with the sealing ring, and at the moment, the load bearing plate is lifted upwards by a certain height for material taking operation; in this way, the sealing effect of the test bin can be achieved, sand and dust are effectively prevented from overflowing from the cavity in the sample taking-out process, waste of sand and dust resources is reduced, pollution of the sand and dust to the external test environment is avoided, the environment maintenance cost in the test process is reduced, the sample taking and placing process is controlled through a pure mechanical structure, and the test efficiency is improved. And the damage of strong electromagnetic interference generated during lightning simulation to the power control system is avoided.

The invention relates to the technical field of climate simulation type test boxes, and discloses a portable climate simulation type test box which comprises an electric control box body with an opening in the front side, and an electric control box cover is rotationally installed on the front side of the electric control box body; the system also comprises a power supply, a circuit breaker, a transformer, a type test system, a PLC controller and a collector. According to the invention, all electric devices are integrated in the same box body, the structure is compact, the integration degree is high, the convenient effect is realized, the operation power of the type test system can be monitored in real time in the test process, the power in the test process can be subjected to precise closed-loop regulation and control according to the monitoring data, the test compensation and result correction can be realized, and the test efficiency is improved. According to the invention, the test precision and stability are improved, the effects of multi-dimensional control and closed-loop feedback are realized, the operation condition of the whole device can be monitored and controlled, and the operation safety and reliability of the whole device are improved.

The invention provides a simulation test system and method for a railway contact network, and the system comprises a climate simulation module which is used for simulating a plurality of climate environments; the data acquisition module is used for acquiring test data of the railway contact network in each climatic environment; and the test analysis module is used for carrying out test analysis on the railway contact network based on the test data. According to the invention, various climate environments are simulated through the climate simulation module, controllable combined simulation of various environmental factors is realized, the data acquisition module realizes automatic acquisition of test data, and the test analysis module automatically tests and analyzes the railway contact network based on the test data, so that the test analysis efficiency is improved.

The present invention relates to a deep learning three-dimensional climate simulation method for adding climate to a real scene, belonging to the field of image processing, including: inputting a real scene image into the Jittor framework, each pixel of the real scene image emits a ray, sampling each ray to obtain sampling points and directions and encoding them, sending them into a neural radiance field to predict the color value and density value of each sampling point, substituting the parameters predicted by the neural radiance field into the rendering equation and then inputting it into volume rendering, so as to retain the color, depth and opacity of the sampling points; segmenting meteorological disaster elements from the input meteorological disaster pictures and reconstructing the meteorological scene corresponding to the meteorological disaster; fusing the final scenes obtained in the previous two steps of the scene to achieve effect simulation. Through the three-dimensional reconstruction technology, the present invention can intuitively show the impact of meteorological disasters on the environment, enabling users to visually feel the disaster situation, greatly enhancing the data visualization effect and dissemination efficiency.

The application discloses a kind of based on multi-stage mixed physics-data driven wind field revision method, it is related to wind field data processing and climate model application technical field. Utilize regional climate simulation tool to execute dynamic downscaling simulation, obtain multidimensional candidate variable field;According to ERA5 wind speed data, target candidate climate variable is screened, and multidimensional key variable field is formed;Hierarchical multi-scale spatio-temporal fusion network for revising wind field data is obtained by constructing the to-be-trained model including multi-scale spatial feature extraction module, time dynamic feature extraction module, multi-scale spatio-temporal feature fusion, output module and training using multidimensional key variable field;With wind field revision field as boundary condition, high-resolution wind field revision field is generated by using complex terrain microscale flow field refining solver.The application not only improves the accuracy of wind speed prediction, but also ensures the physical authenticity and consistency of high-resolution wind field under the influence of complex terrain through physical constraint.

The invention relates to the technical field of climate simulation tests, in particular to a multi-physical field test device and method for simulating lightning and rainwater coupling, a driving assembly is arranged above a conical plate, a rotating assembly is arranged in a lower waterproof sleeve, and two facing assemblies are arranged on the outer side of the lower waterproof sleeve; two groups of water spraying test assemblies are arranged in the test bin; the multi-physical field test method based on simulation of thunder and lightning and rainwater coupling comprises the steps that thunder and lightning simulation equipment is started, a workpiece is tested through two sets of water spraying test assemblies, and meanwhile a driving assembly drives the two sets of water spraying test assemblies to move through a rotating assembly; and under the adjustment of the orientation assembly, the two groups of water spraying test assemblies spray water to the workpiece without dead angles. The multi-physical field test device for simulating lightning and rainwater coupling effectively prevents strong electromagnetic interference from easily damaging a power control system, is low in failure rate, can deeply simulate a lightning and rainwater coupling environment, and meets efficient and stable test requirements.

The invention provides an insulator snow-covering flashover characteristic test method based on artificial climate simulation. The method comprises the following steps: preprocessing a to-be-tested electric power sample; freezing the to-be-tested electric power test object covered with snow, horizontally or vertically hoisting the to-be-tested electric power test object in a low-temperature environment after a snow layer is completely frozen, and connecting a high-voltage power supply, a grounding device and a measuring system so as to simulate an electrical connection state under an actual operation condition; cooling is stopped, the environment temperature is raised, the snow layer is gradually melted to a set water content state, then voltage is applied to the to-be-tested electric power sample until a flashover phenomenon occurs, and a flashover or withstand voltage value is recorded so as to evaluate the insulation performance of the to-be-tested electric power sample under the snow melting condition. The test method provided by the invention is closer to the actual field operation condition, and fully considers the worst working condition factor in the snow melting process, so that the insulation performance of the insulator to be tested in a typical severe environment can be evaluated more reliably.

The utility model provides a radiation refrigeration temperature control effect testing device capable of simulating various climates, and belongs to the technical field of radiation refrigeration. The utility model aims to solve the problems of single climate simulation, low sample testing efficiency and data dependence on manual processing in the existing device. The device comprises a container, a radiation refrigeration test system, a climate simulation assembly and a control and display system, the container is provided with a rectangular cavity as a climate simulation cabin, and a radiation refrigeration test system and a climate simulation assembly are arranged in the container; the control and display system comprises a meteorological monitor and a central processing unit, the meteorological monitor is placed in the center of the bottom of the container, and a touch screen is arranged on the central processing unit and placed on the outer side of the container. According to the invention, the problems of single climate simulation, low sample testing efficiency and dependence on manual data processing in the existing device are effectively solved, the efficiency and accuracy of radiation refrigeration material testing are improved, and comprehensive and accurate testing and comparative analysis of the temperature control effect of the radiation refrigeration material in different environments can be realized.

The present invention discloses a four-integrated marine climate simulation test chamber. The chamber comprises a workroom and a unit room. The workroom is equipped with a temperature control system, a humidity control system, a lighting system, and a salt spray system. The temperature control system is used to switch the temperature in the workroom between high temperature, normal temperature, and low temperature; the humidity control system is used to change the humidity environment in the workroom; the lighting system is used to simulate ultraviolet radiation; and the salt spray system is used to create a salt spray environment in the workroom. The present invention has the beneficial effect that, when the temperature control system, the humidity control system, the lighting system, and the salt spray system are activated simultaneously, the workroom can simulate a marine climate environment that includes four environmental factors: temperature, humidity, ultraviolet radiation, and salt spray.

The application discloses an AI-based intelligent control system and method for constant temperature and humidity of a smart farm, and belongs to the technical field of temperature and humidity control.The system comprises a data acquisition module, a data preprocessing module, a data analysis module, a schedule simulation module, a climate simulation module and an execution module.The data acquisition module monitors key parameters of a breeding environment in real time through a sensor, and all collected data is transmitted to the data preprocessing module for processing.The data preprocessing module is responsible for cleaning, denoising and synchronous processing of original collected data, and the preprocessed data is timestamped and transmitted to the data analysis module.The system can adjust temperature and humidity set values according to circadian rhythm changes through the combination of the schedule simulation module and the climate simulation module, and energy waste is reduced and economic benefits of system operation are improved through optimization of temperature and humidity change curves and control strategies.

The invention provides a radiation refrigeration temperature control effect testing device capable of simulating various climates and a testing method, and belongs to the technical field of radiation refrigeration. The invention aims to solve the problems of single climate simulation, low sample testing efficiency and data dependence on manual processing in the existing device. The device comprises a container, a radiation refrigeration test system, a climate simulation assembly and a control and display system, the container is provided with a rectangular cavity as a climate simulation cabin, and a radiation refrigeration test system and a climate simulation assembly are arranged in the container; the control and display system comprises a meteorological monitor and a central processing unit, the meteorological monitor is placed in the center of the bottom of the container, and a touch screen is arranged on the central processing unit and placed on the outer side of the container. According to the invention, the problems of single climate simulation, low sample testing efficiency and dependence on manual data processing in the existing device are effectively solved, the efficiency and accuracy of radiation refrigeration material testing are improved, and comprehensive and accurate testing and comparative analysis of the temperature control effect of the radiation refrigeration material in different environments can be realized.

The invention discloses a constant-temperature and constant-humidity intelligent control system and method for an intelligent farm based on the AI Internet of Things, and relates to the technical field of temperature and humidity control. The system comprises a data acquisition module, a data preprocessing module, a data analysis module, a schedule simulation module, a climate simulation module and an execution module; the data acquisition module monitors key parameters of a breeding environment in real time through a sensor, and all acquired data are transmitted to the data preprocessing module for processing; the data preprocessing module is responsible for cleaning, denoising and synchronizing original collected data, and the preprocessed data unifies timestamps and transmits the data to the data analysis module; through combination of schedule simulation and climate simulation modules, the system can adjust temperature and humidity set values according to circadian rhythm changes; by optimizing a temperature and humidity change curve and a control strategy, energy waste is reduced, and economic benefits of system operation are improved.

The invention relates to a computer-implemented method for controlling a building technology system (12), wherein the method comprises the steps: - Recording at least one indoor air parameter (16, S10) within at least one indoor space (10); and - Receiving environmental data (18, S12), characterized in that the method further comprises the steps: - Performing a simulation (S14) of the indoor climate using at least one indoor air parameter (16) and the received environmental data (18); and - Generating a control command (S16) for the building services system (12) Using the result of the simulation and controlling the building services system (12, S18) according to the generated control command.

The utility model relates to the technical field of climate simulation experiment boxes, in particular to an intelligent regulation and control portable climate simulation experiment box which comprises a climate simulation experiment box and a supporting structure, and the supporting structure is arranged on the outer side of the climate simulation experiment box. By moving a guide seat, the guide seat drives a connecting block to be separated from clamping blocks on the two sides, so that a rotating rod can rotate along the climate simulation experiment box, meanwhile, a positioning screw rod is rotated, and the positioning screw rod is connected with a corresponding positioning hole and a corresponding connecting hole, so that the rotating position of the rotating rod is limited, an inserting rod is pulled, and the inserting rod is separated from an inserting hole; then the supporting rods are moved by corresponding heights, the insertion rods are loosened to be matched with the insertion holes in the corresponding positions, so that the extension lengths of the supporting rods are adjusted, and in the same way, the supporting rods on the periphery of the climate simulation experiment box are pulled out to support the climate simulation experiment box; and a storage rack for placing the climate simulation experiment box does not need to be carried in the use process of the climate simulation experiment box.

The invention relates to the technical field of automobiles, and discloses a vehicle test method and device, terminal equipment and a computer readable storage medium, the vehicle test method is applied to a vehicle test platform, the vehicle test platform comprises a climate simulation system, and the method comprises the following steps: acquiring climate simulation parameters and simulation stop parameters corresponding to a test item, the climate simulation parameters are used for generating target climate conditions of the climate simulation system; performing climate simulation on the to-be-tested vehicle meeting a preset environment threshold value through the adjusted climate simulation system until the to-be-tested vehicle reaches the simulation stop parameter; and starting a coping function of the to-be-tested vehicle aiming at the target climate condition, and carrying out vehicle testing aiming at the coping function. By adopting the method, scientific, standardized and efficient whole vehicle environment adaptability test can be realized.

An indicator light for a device includes a housing shell and an illuminant disposed within the housing shell. The housing shell has a shell opening and a margin extending peripherally about the shell opening. The margin includes a contact segment and a exit segment, where the exit segment is set back with respect to the contact segment toward the housing shell. When the indicator light is mounted on an external wall with the contact segment positioned against the wall, an exit opening is between the set-back exit segment and the external wall through which light from the illuminant can pass. The shell opening is triangular, making the indicator light suitable for mounting on upper corners of technical devices. The illuminant may be a LED luminant strip. A climate simulation chamber may include the indicator light mounted on its outer wall to provide status indication through light scattering and reflection.

The energy-saving temperature control system comprises a water chilling unit, a hot water unit and a surface air cooler, and the surface air cooler is communicated with the water chilling unit and the hot water unit through a cold water inlet pipe and a hot water outlet pipe. A heat recovery pipeline is arranged between the hot water outlet pipe and the cold water inlet pipe for heat recovery circulation heat exchange, the input end of the heat recovery pipeline is communicated with the output end of the surface air cooler through the hot water outlet pipe, and the output end of the heat recovery pipeline is communicated with the input end of the surface air cooler through the cold water inlet pipe. A three-way valve is arranged on a hot water pipeline communicated with the output end of the surface air cooler and used for adjusting the heat recovery flow of the tail end of the temperature control system, outputting a heat recovery medium according to a preset proportion, enabling the heat recovery medium to be mixed with cold water to enter the surface air cooler under the action of a water pump, and keeping constant proportion operation after the interior of the temperature control system reaches a preset temperature. The problem of energy consumption in use of current climate simulation equipment is solved, the temperature control requirement of the climate simulation equipment is met in different seasons, and energy consumption is reduced by using the principle of heat recovery circulation.

The invention relates to the technical field of climate simulation, in particular to a high-precision environmental climate simulation system which comprises a data acquisition module, a data processing module, a climate simulation module, a visual interaction module, a control module, a data storage module and a communication interface module. Aiming at the defects of weak data processing capability and long simulation time in the prior art, the patent constructs an efficient data processing and computing system; the data processing module realizes quick fusion and cleaning of multi-source data by using a deep learning algorithm, and can finish TB-level data processing within a minute level by combining distributed storage and parallel computing architecture, and the efficiency is improved by dozens of times compared with that of a traditional system; the climate simulation module is based on the parallel computing technology of the GPU cluster, the time of a large-scale climate simulation task is shortened from several days to several hours, the simulation efficiency is greatly improved, and the urgent demand of a user for timeliness is met.

The invention relates to the technical field of agricultural meteorological disaster protection, and discloses a climate simulation device for plant physiological research on cloudy days, the climate simulation device comprises a support, the support comprises a plurality of vertical rods, the outer surfaces of the plurality of vertical rods are jointly sleeved with a movable frame, the movable frame is internally provided with a through groove, and the through groove is communicated with the through groove. An adjusting piece used for adjusting the height of the movable frame according to plants is arranged in the through groove; and the automatic shading structure comprises an illumination sensor. The climate simulation device for plant physiological research on continuous cloudy days can effectively solve the problems that in the prior art, a climate simulation device is fixed in structure and poor in adjustment flexibility, the simulation range is difficult to adjust according to the height requirements of different plants, the simulation precision of all climate parameters is low, and the adjustment flexibility is poor. And the complex climatic environment in cloudy days cannot be accurately copied, so that the accuracy and the reliability of research data are influenced.

The invention relates to the technical field of building materials, and particularly discloses a method and a system for detecting the thermal insulation performance of a low-carbon building material, which are characterized in that a plurality of groups of thermal insulation mortar samples with different formula ratios are prepared into thermal insulation mortar test pieces with standard sizes, and the thermal insulation mortar test pieces corresponding to the formula ratios are maintained under standard environmental conditions to obtain the thermal insulation performance of the low-carbon building material. The cured thermal insulation mortar test piece corresponding to each formula ratio is obtained; collecting climate data of an area where the thermal insulation mortar is to be applied, simulating the climate data of the area where the thermal insulation mortar is to be applied by using a climate simulation device, placing the thermal insulation mortar test pieces corresponding to the formula ratios after maintenance in the climate simulation device, and performing thermal insulation on the thermal insulation mortar test pieces corresponding to the formula ratios; according to the test result of the thermal insulation mortar test piece corresponding to each formula ratio, the optimal formula ratio of the thermal insulation mortar suitable for the to-be-applied area is screened, so that the energy-saving effect and the living comfort of the building can be improved, and the construction quality and the durability of the building are improved.

The invention relates to the technical field of textile material testing, in particular to a fabric moisture absorption and heating performance demonstration device and method. The fabric moisture absorption and heating performance demonstration device comprises a climate simulation cabin, a humidity regulation and control assembly and an exhibition stand assembly, the climate simulation cabin is a closed transparent cabin body, and an air inlet and an air outlet are formed in the bottom of the climate simulation cabin; the humidity regulation and control assembly is connected with the climate simulation cabin and is used for regulating the humidity in the climate simulation cabin; every two exhibition stand assemblies are installed in the climate simulation cabin in one group and used for loading fabric and measuring fabric data. The two exhibition stand assemblies are used for loading the exhibited fabric and the common fabric respectively and used for comparing and exhibiting measurement data of different fabrics; the moisture absorption and surface temperature change conditions of the display fabric and the common fabric can be compared at the same time in a controllable temperature and humidity environment, so that the moisture absorption and heating performance of the fabric is truly represented, and the product display and user experience effects are improved.

The invention discloses a random field rapid generation method with arbitrary distribution and spatial correlation, and relates to the technical field of random field modeling, and the method comprises the steps: carrying out the fast Fourier transform according to a specified correlation function, and obtaining a power spectrum density function; combining Gaussian random variables to construct a complex sequence; transforming the complex sequence into a real space through inverse fast Fourier transform to obtain two groups of independent Gaussian random fields with specified correlation; generating irrelevant random numbers with specified arbitrary distribution; and the generated irrelevant random numbers with specified arbitrary distribution are ranked according to the size, and are mapped to the generated Gaussian random field with specified correlation one by one through the relative positions of the numerical values in the space according to the relative size, so that the random field with specified distribution and spatial correlation is obtained. According to the method, the random fields with different distribution and spatial correlation can be quickly generated, the modeling requirements of heterogeneous materials and disordered materials are met, and the method can also be expanded to the fields of image processing, geological modeling, climate simulation and the like. According to the method, the related random field generation efficiency can be remarkably improved.

The invention discloses a natural environment comprehensive climate simulation test cabin which comprises an outer box, an inner box is fixedly connected in the outer box, the top of the outer box and the top of the inner box are fixedly connected with the same box cover, two light-transmitting plates are symmetrically and fixedly embedded in the box cover, a plurality of sand and dust injection pipes are fixedly communicated with the box cover, and the sand and dust injection pipes are fixedly communicated with the outer box. And the outer wall of the outer box is fixedly connected with a water pump. According to the invention, various climates can be simulated independently, combined simulation of various climates can be realized, combined simulation of two or more climates can be formed, and tests of various natural environments can be carried out, so that the functional diversity of the climate simulation test chamber is effectively improved, conversion among multiple different simulation devices is not needed, and the test efficiency is improved. The accuracy and the reliability of a test result are improved, the test time and the test cost are reduced, the test chamber can be quickly cleaned, the cleaning time of the test chamber is effectively shortened, and the problem that the next test is affected due to the fact that the cleaning time is too long is solved.

The invention discloses a fan blade anti-icing coating test device and a test method thereof, the fan blade anti-icing coating test device comprises a climate simulation chamber, a wind power generation simulation device, a heating simulation assembly, a monitoring assembly and a controller, the climate simulation chamber is used for simulating natural climate conditions; the wind power generation simulation device is located in the climate simulation chamber, and different fan blades can be coated with different anti-icing coatings; the heating simulation assembly is arranged on the fan blade and is used for heating the fan blade; the monitoring assembly is used for detecting icing data on the fan blade; the controller is in communication connection with the climate simulation chamber, the wind power generation simulation device, the heating simulation assembly and the monitoring assembly so as to detect the influence of natural climate conditions and heating conditions on the anti-icing performance of the anti-icing coating.

The invention discloses a parameterization scheme determination method and system for a regional climate model, and relates to the technical field of climate simulation. Comprising the following steps: determining all parameterization schemes corresponding to all physical processes of a target region by adopting a regional climate model; determining a variation coefficient of an average relative error and an absolute error of simulation results of all parameterization schemes of each physical process on different meteorological variables in the target area; dynamically generating a first weight value and a second weight value by adopting a Softmax function based on the two coefficients of each variable; calculating a comprehensive statistical index of each parameterization scheme, and selecting the optimal index as the optimal scheme of the physical process; and combining the optimal schemes of all the physical processes to obtain an overall optimal parameterization scheme combination of the target area. According to the method, through a double-layer weighting mechanism, key variables influencing the overall performance of the model and variables most sensitive to a specific physical process can be automatically identified.