28 results about "Climate simulation" patented technology

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 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 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 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 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 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 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 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.

1. The name of the design product: plateau climate simulation system. 2. The use of the design product: for carrying out material tests under plateau climate. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view. 5. The bottom surface of the design product is the part that is not easy to see or cannot be seen during use, and the top view is omitted.

The application discloses a large space scale water resource quantity prediction method, selects model indexes, determines basin historical data of input model indexes and corresponding historical data of water resource quantity, adopts a kernel function to create an SVR regression model and determines model parameters, inputs related parameters, and the first parameter returned is a predicted value mapped according to a multi-dimensional space, and the second parameter is a mean square error (MSE) and a decision coefficient (R) of a test set 2 , then the model is continuously corrected until the model error is small and meets the requirements, finally, a change environment future simulation prediction result of the model index is input, a trained SVR model is adopted for fitting, and a future water resource quantity is output. The water resource quantity prediction model combining the climate output mode and the SVR is established, climate simulation results under different concentration paths are taken as input conditions of the model, future water resource quantities of a large space scale research area can be predicted, the structure is simple, the solving efficiency is high, and the demand for measured data verification is low.

The invention discloses an ice state cloud parameter inversion method based on ClodSat 1B, and aims to solve the problem that ice state cloud parameters such as cloud ice state water content, particle number concentration and effective radius in existing ClodSat satellite 1B-level observation data are difficult to accurately invert, through fusion of core data such as radar reflectivity and temperature and related auxiliary information and combination of cloud mask and cloud phase state classification, the ice state cloud parameter inversion method based on the ClodSat 1B can be used for accurately inverting ice state cloud parameters such as the cloud ice state water content, the particle number concentration and the effective radius in the existing ClodSat satellite 1B-level observation data. A reliable inversion algorithm is constructed, efficient and accurate inversion of the ice state cloud parameters is realized, and data support is provided for research of cloud radiation effect, climate simulation and the like.

The invention discloses a simulation device for a glacial lake outburst disaster chain under the earthquake action and a using method, the simulation device comprises a material source conveying simulation mechanism, a glacial lake climate simulation mechanism, an earthquake simulation mechanism, a post-outburst accumulation simulation mechanism and a monitoring mechanism, the material source conveying simulation mechanism comprises a slope body container, a partition door, a lifting rod and a first slideway; a first groove is formed in the inner bottom of the first slide way, the glacial lake climate simulation mechanism comprises a climate container, a simulation dam body, a simulation glacial lake and a second slide way, a second groove is formed in the second slide way, the earthquake simulation mechanism comprises a simulation soil layer and a rock simulation layer, and the monitoring mechanism comprises a pore water pressure sensor and a grating fiber strain gauge. By changing at least one of the gradient of the first slide way, the gradient of the second slide way, the size of ice blocks and gravels, the starting time of the glacial lake climate simulation mechanism, the vibration strength of the earthquake simulation mechanism and other factors, the influence of seismic intensity, temperature, water level rising and falling and other factors on glacial lake dam outburst can be obtained.

The invention discloses a paleoclimate rainfall reconstruction method and device combining physical constraints and an interpretable neural network, and solves the technical problem that a reconstruction result constructed by a current paleoclimate rainfall reconstruction technology cannot give consideration to accuracy and interpretability at different time scales, so that a final paleoclimate rainfall prediction effect is poor. The method comprises the following steps: acquiring modern climate reanalysis elements, paleoclimate simulation and substitution indexes and terrain and hydrologic landform data, preprocessing the elements, and generating a paleoclimate variable matrix, a modern climate variable matrix and a terrain parameter matrix without abnormal values; taking the matrixes as input, adopting a physical constraint neural network to carry out rainfall prediction, and outputting a paleoclimate rainfall prediction result for model training; and finally, training the network through an overall target loss function based on physical consistency constraints, and determining a target paleoclimate rainfall prediction model after completing iterative optimization.

The utility model discloses battery climate simulation equipment, which comprises a climate box, a box door and a locking part, the climate box is provided with a simulation cavity with an opening in one side; the box door can move relative to the climate box and can open and close the opening of the simulation cavity during movement; the locking part is slidably connected to the climate box, the sliding direction of the locking part is parallel to the plane where the opening of the simulation cavity is located, and the locking part has a first position state in which the box door abuts against the box door and enables the box door to be kept at the position where the opening is closed and a second position state in which the box door is separated from the box door and enables the box door to open the opening. In the scheme, the direction of the impact force intersects with the moving direction of the locking part, so that the locking part cannot be far away from the box door, the box door can stably close the opening of the simulation cavity, the problem that the box door still has a certain moving gap due to fixation of an iron chain can be avoided, the sealing performance of the simulation cavity is improved, climate formation in the simulation cavity is facilitated, and the simulation effect is improved. The structure is simple, and operation is relatively convenient.

A marine dynamic environment simulation test system and a test method are provided. The system includes a test chamber, a seawater erosion unit, a climate simulation unit and a force loading device. The bottom of the test chamber is provided with a simulated seabed structure model for supporting a test piece. The seawater erosion unit includes a sedimentation tank containing seawater and a circulation mechanism. The circulation mechanism is capable of making the seawater in the sedimentation tank circulate in the sedimentation tank and the test chamber and controlling the water level and the flow rate of the seawater in the test chamber. The climate simulation unit is capable of performing at least one of ultraviolet irradiation, high temperature irradiation, sea wind simulation or rain and fog simulation on the test piece. The force loading device loads force in a preset direction on the test piece.

The invention discloses a mangrove forest sediment carbon sequestration threshold value metering method, and belongs to the field of ecological environment monitoring and carbon sequestration capacity evaluation. Aiming at a multi-type mangrove forest ecological system, an environment-microorganism-carbon sink multi-dimensional data set is established by means of fusing remote sensing and unmanned aerial vehicle surveying and mapping, field environment sample collection, multi-modal feature fusion, microbiological omics analysis, climate simulation and the like. A self-adaptive hierarchical attention mechanism and an evolutionary threshold detection network are adopted to dynamically identify carbon sink efficiency characteristic inflection points under different habitats, and a carbon sink quantity dynamic measurement and risk prediction model is constructed through deep causal inference and high-dimensional discriminant clustering. According to the method, real-time sensing and prospective forecasting of the mangrove forest carbon sequestration capacity under different habitats are achieved, scientificity, accuracy and intelligent management level of carbon sequestration quantity metering are improved, and a typing carbon sequestration threshold value evaluation standard can be formulated according to the scientificity, accuracy and intelligent management level of carbon sequestration quantity metering.

The invention discloses a building waterproof supervision acceptance system and method, and relates to the technical field of constructions.The method comprises the steps that through a micro-channel impedance tomography strategy, a waterproof material sample is scanned, pore communication paths and defect distribution characteristics are extracted, and a three-dimensional permeation network model containing the pore size, the communication paths and defect distribution is constructed; based on the material family knowledge map, mapping the water pressure and crack propagation rule of the concrete structure in the historical engineering to the permeation network feature space of the current material, and generating a composite test parameter set containing a rainstorm shock waveform, a temperature cycle gradient and a structure deformation rate; according to the composite test parameter set, synchronously applying a dynamic load in the climate simulation test cabin; and according to a test result, positioning a leakage high-risk area through a space-time correlation algorithm, and generating a decision-making scheme including maintenance priority, carbon footprint evaluation and disaster-resistant capability prediction in combination with a material durability database and regional extreme climate data.