1582 results about "Environmental simulation" patented technology

The invention belongs to the field of deep sea corrosion experiment equipment, and particularly relates to a multivariable coupling control deep sea corrosion environment simulation and monitoring device, which comprises an environment control unit, a deep sea corrosion environment simulation unit, a deep sea corrosion environment simulation unit, a deep sea corrosion environment simulation unit and a deep sea corrosion environment monitoring unit, and is characterized in that the environment control unit comprises a seawater environment cabin, a test sample is vertically arranged in the seawater environment cabin, and two ends of the test sample penetrate through and extend to the outer side of the seawater environment cabin; the pressure control system and the temperature control system are connected with the seawater environment cabin through sealing flanges and are respectively used for simulating deep sea hydrostatic pressure and a low-temperature environment; the mechanical loading system is used for bearing the seawater environment cabin and clamping the two ends of the test sample through the sample clamping system so as to apply a multi-axis dynamic mechanical load; the gas regulation and control unit is used for controlling the concentration of dissolved oxygen in the seawater environment cabin; and the multi-source monitoring module is used for collecting detection data and analyzing the detection data to obtain the corrosion rate of the test sample. The single-variable control limitation of a traditional device is broken through, and a high-fidelity experiment platform is provided for deep sea material corrosion mechanism research and equipment life evaluation.

The invention discloses an information scanning and penetration test path planning method in a Windows domain based on reinforcement learning. The method comprises the following steps: carrying out information detection on a target Windows domain environment, surveying and mapping a network topology of the target Windows domain environment, establishing connection with a target machine by utilizing protocols such as LDAP (Lightweight Directory Access Point) and the like, and collecting related information in the domain; the method comprises the following steps of: collecting, sorting and abstracting detected related information, solving a multi-stage sequence decision problem by utilizing a Markov decision process, realizing environment simulation, constructing a reinforcement learning agent, generating a penetration test path by performing interactive training with a simulation environment, and performing adjustment according to a reward strategy so as to obtain a penetration test result. And searching an optimal penetration test path by accumulating rewards, constructing a Windows domain penetration test model, and finally generating the optimal penetration test path. According to the method, collection of information in the Windows domain and planning of the penetration test path are realized, and finally, the environmental safety of the Windows domain is evaluated and maintained.

The invention relates to the technical field of carbon sequestration capacity monitoring, in particular to a carbon sequestration capacity monitoring and evaluating method for an island ecosystem, which comprises the following steps: S1, multi-source data fusion and habitat partitioning: dividing an island habitat type partitioning map; s2, stratified sampling and carbon reserve actual measurement: measuring the carbon content, and constructing a carbon reserve actual measurement database; s3, constructing a dynamic carbon sink model: carrying out a whole growth cycle environment simulation experiment on sea grass and algae in different habitats, and establishing the dynamic carbon sink model taking habitat types as classification units; s4, carbon sequestration capability quantification and bottleneck diagnosis: calculating carbon sequestration contribution values of various habitat types, identifying low-efficiency carbon sequestration areas through contribution value comparison, and analyzing environmental limitation factors of the low-efficiency carbon sequestration areas; and S5, integrating a sink increasing technology and generating a path: designing a habitat specific sink increasing scheme for the identified low-efficiency carbon sink area. According to the invention, high-precision monitoring, intelligent evaluation and system optimization of the island ecosystem carbon sequestration capability are realized.

The invention provides an intelligent maintenance method and system for the wall of a squat silo, and the method comprises the steps: applying controllable environment parameters to a concrete test block group with the same proportion through an environment simulation device, and obtaining test block deformation data, moisture content data and stress data; performing time sequence correlation mapping on the test block deformation data, the moisture content data and the stress data and environmental parameters to obtain a maintenance decision data set; acquiring a real-time environment vector through a sensor network deployed on the site of the squat silo; inputting the real-time environment vector into a maintenance decision model, and generating a spraying control instruction by matching the maintenance decision data set; and driving a spraying system to execute operation according to the spraying control instruction, and dynamically correcting spraying parameters based on moisture monitoring data. According to the method, through data-driven intelligent maintenance decision and dynamic closed-loop control, the crack risk of the wall of the squat silo is remarkably reduced, meanwhile, water resource consumption is reduced, and double breakthrough of maintenance quality and resource efficiency is achieved.

The invention discloses an acid mine wasteland ecological restoration plant dynamic optimization configuration method, and relates to the field of ecological restoration, and the method comprises the following steps: 1, collecting soil attribute data in a predetermined range of an acid mine wasteland in a dotted manner, and synchronously obtaining growth attribute data of to-be-selected plants and periodic weather data of a target area; step 2, extracting a deterioration feature set having a deterioration effect on plant growth based on the soil attribute data, and analyzing a bioremediation feature set capable of inhibiting the deterioration feature in the plant attribute data to generate a candidate plant set; 3, constructing a dynamic environment simulation model based on a deep learning algorithm, wherein input dimensions comprise weather data time sequence features, soil deterioration feature vectors and a plant bioremediation feature matrix; the method can accurately predict the restoration effects of plants under different climate and soil conditions, simulate the effects of different intervention measures in real time, output the optimal intervention scheme, and ensure the balance between the resource utilization efficiency and the restoration effects.

The invention relates to the field of environment simulation control, in particular to an environment simulation method and system for a high and low temperature test box. The method comprises the following steps: acquiring initial state monitoring parameters of a high and low temperature test box, performing regional environment parameter division and time point gradient change fitting, and constructing a plurality of regional temperature and humidity gradient change curves; identifying a test object in the high and low temperature test box; performing transient thermal change limit evolution excavation on the test object according to the plurality of regional temperature and humidity gradient change curves to generate a transient thermal change limit curve of the current test object; acquiring a preset test box environment simulation log, performing global temperature change cross period optimization according to the transient thermal change limit curve of the current test object, and constructing a global temperature change optimization simulation period; and executing environment simulation control operation according to the global temperature change optimization simulation period, and collecting high and low temperature simulation environment monitoring data. According to the invention, quick-response, accurate and stable environment simulation control is realized.

The invention discloses a water resource demand optimization method based on deep reinforcement learning, and relates to the technical field of water resource management, and the method comprises the steps: obtaining original data and real-time data; preprocessing the original data; extracting parameters of an extreme climate event according to the original data, generating extreme scene data of a plurality of disturbance scenes based on a pre-trained environment simulator according to the historical climate data and the parameters of the extreme climate event, and training a preset DQN-based deep reinforcement learning model according to the optimization training set, the network architecture of the DQN-based deep reinforcement learning model is CNN, optimizing the DQN-based deep reinforcement learning model based on a multi-target reinforcement learning strategy to obtain a trained DQN-based deep reinforcement learning model, inputting real-time climate data into the trained DQN-based deep reinforcement learning model, and outputting real-time optimized regional water resource demand data. According to the invention, the decision-making efficiency and accuracy of water resource demand optimization are significantly improved.

The invention discloses a water quality prediction method based on machine learning and an SWAT model, and belongs to the technical field of water environment simulation and water quality early warning. The method comprises the steps that S1, hydrology, water quality, meteorology, land utilization types, pollution sources and spatial elevation multi-temporal data are collected from multiple channels in a drainage basin, and noise reduction, normalization and missing value filling preprocessing methods are adopted for original data; s2, performing sensitivity analysis on the nonlinear relationship between the SWAT model parameters and the output by adopting SVR, and screening out key parameters with remarkable influence; s3, on the basis of the water quality monitoring data, constructing a water quality time sequence prediction model by adopting an LSTM model; and S4, constructing a self-learning mechanism based on the LSTM and the SVR model, and retraining the model by adjusting a learning time window and regularly utilizing latest data. The method is excellent in the aspects of model efficiency, prediction precision and application adaptability, and has remarkable engineering application value and popularization potential.

The invention discloses an intelligent ship steering capability multi-dimensional evaluation system based on virtual-real fusion, and relates to the technical field of intelligent ships and virtual-real fusion. The system comprises a visual platform and an integration module, wherein a simulation environment is constructed through a virtual-real data interaction engine, and ship behaviors under different sea conditions are simulated; a virtual-real data bidirectional calibration module is used for dynamically correcting simulation parameters, and it is ensured that the simulation parameters are consistent with real ship data; based on the multi-dimensional evaluation index system, the intelligent evaluation decision module comprehensively scores the steering performance; and the behavior guiding module outputs an evaluation report and a risk avoidance suggestion. According to the invention, part of real ship tests can be replaced, extreme working conditions can be simulated, the evaluation precision is guaranteed, the test period is remarkably shortened, the cost is reduced, simulation parameters are dynamically corrected through a bidirectional calibration mechanism, comprehensive and multi-dimensional quantitative evaluation on steering capability in a scene close to a real scene is realized, and a credible evaluation report is output.

The invention discloses a bay environment simulation forecasting method and device, relates to the technical field of marine environment forecasting, and aims to solve the problem that in the prior art, forecasting precision and forecasting timeliness cannot be taken into account when environment simulation forecasting is carried out on a bay. The method comprises the following steps: based on coastline data, performing encryption processing on a target sub-region in a target gulf region by adopting a curve orthogonal grid, and generating a variable-resolution refined curve orthogonal grid from an inshore region to an open sea region; based on a refined curve orthogonal grid, according to a model simulation data format requirement, a variable-resolution grid file is manufactured and obtained; determining a model input file based on the water depth topographic data and the variable resolution grid file; and inputting the model input file into a preset three-dimensional oblique pressure ocean numerical model for calculation to obtain simulation forecast data. Therefore, the simulation precision requirements of different bay areas can be met, and the simulation calculation speed and the simulation calculation efficiency of the whole target bay area are ensured.

The invention provides an indoor crustal stress test device and method based on optical strain measurement, the test device comprises a stress simulation device, the stress simulation device can perform real three-dimensional crustal stress environment simulation on a test rock mass as far as possible; the drilling releasing device is provided with a hollow drill bit used for drilling the optical strain measurer installed in the test rock mass, and the drilling hole and the hollow drill bit are coaxially arranged. Thus, according to the method, pressure is applied to the test rock mass from multiple directions through the multiple hydraulic loading columns, the real three-dimensional crustal stress environment can be more accurately simulated, speckle image changes in the speckle coating can be continuously recorded in real time through the optical strain measurer, and hole wall strain data are obtained; and converting the strain data into stress by applying an elastic theoretical formula, and accurately calculating the stress state of the experimental rock mass.

The invention relates to the technical field of automatic testing, and discloses an automatic testing scheme generation method and device and a medium, and the method comprises the steps: matching a demand action in a test demand with a code entry name corresponding to a code segment, and determining a code risk level of a current demand code block; analyzing the code change frequency and the code dependency degree of the current demand code block according to historical test records in the test domain knowledge base, and determining the test dynamic priority of the current demand code block; constructing a control flow diagram and a data flow diagram of the current demand code block, and detecting risk nodes in the control flow diagram and the data flow diagram; generating a test scene of the current demand code block according to the risk node, and generating a boundary value test rule according to a key constraint condition in the data flow diagram; and querying an environment simulation rule of the current demand code block, and packaging the test scene, the boundary value test rule and the environment simulation rule into an automatic test scheme. According to the invention, the code coverage when the test scheme is generated can be improved.

The invention relates to the technical field of rubber performance evaluation, in particular to a performance data analysis and evaluation method for a rubber material. The method comprises the following steps: acquiring X-ray scanning data of a rubber sample; performing phase contrast imaging on the X-ray scanning data of the rubber sample to obtain projection data of the rubber sample; performing back projection reconstruction on the projection data of the rubber sample to obtain three-dimensional structural data of the rubber material; carrying out multi-parameter environmental simulation loading on the rubber sample to obtain environmental response data of the rubber material; dynamically collecting the environmental response data of the rubber material to obtain deformation process data of the rubber material; synchronously recording and analyzing the deformation process data of the rubber material to obtain a stress-strain characteristic pattern of the rubber material; and performing polarization spectrum excitation on the rubber sample based on the rubber material stress-strain characteristic pattern to obtain rubber molecular chain fluorescence data. According to the invention, the reliability and accuracy of rubber material performance evaluation are improved.

The invention discloses an electronic function test system of a high-voltage PTC (Positive Temperature Coefficient) electric heater, which relates to the technical field of PTC electric heaters and is characterized in that extreme temperature, humidity and voltage disturbance data are acquired in a programmable multi-dimensional environment simulation cabin, and the temperature deviation of the high-voltage PTC electric heater is predicted by using a multi-channel fusion and compensation model; according to the method, the high-voltage PTC electric heater is used as a power source, the output power is adjusted in a real-time feedforward and feedback mode in the self-adaptive controller, finally, through dynamic calibration and closed-loop verification, a model and gain parameters are optimized in multiple scenes, a complete system which can deal with large environmental changes and is high in temperature control precision is formed, the stability and safety of the high-voltage PTC electric heater under the severe working condition are remarkably improved, and the high-voltage PTC electric heater is suitable for being used in the field of electric heaters. And overshoot and lag are reduced, the energy utilization efficiency is improved, the system is suitable for industrial heating, vehicle warm air and other scenes needing high reliability and quick response, and the maintenance cost can be effectively reduced.

The invention discloses a multi-dimensional environment coupling aging test box and a self-adaptive control method thereof.The multi-dimensional environment coupling aging test box comprises a box body, a multi-dimensional environment coupling system and a self-adaptive control system.The box body is internally provided with a test cavity, the multi-dimensional environment coupling system is arranged in the test cavity, and the self-adaptive control system is arranged in the test cavity; and the multi-dimensional environment coupling system is connected with the adaptive control system. A multi-physics coupling environment is constructed by integrating four environment simulation modules of temperature and humidity, illumination, vibration and gas. The sensor group acquires environmental parameters (temperature and humidity, irradiance, acceleration and gas concentration) and state data of a test object in real time, and transmits the environmental parameters and the state data to the data processing unit. Based on a multi-physics field coupling model (such as finite element analysis or an empirical formula), the contribution degree of each environmental factor to material aging is calculated, a dynamic control instruction is generated, output parameters of each module are synchronously adjusted through an execution mechanism, and closed-loop control over environmental conditions is achieved.

The invention belongs to the technical field of ocean geotechnical engineering, and discloses full-strain range soil body strength characteristic testing equipment and a testing method for simulating a deep sea temperature and pressure environment. The system comprises an integrated probe, a stepping motor, a linear module, a hollow probe rod, a torsion module, a loading platform, a sample box, a water depth simulation system and a temperature control system. The hydraulic source and the temperature controller are used for simulating the deep sea low-temperature and high-pressure environment, the simulation effect is good, soil sample visualization is achieved, static sounding and vane shear tests are combined by designing the integrated probe, the soil permeability coefficient, the consolidation coefficient, the undrained shear strength and the sensitivity are measured, the precision and the efficiency of soil parameter analysis are improved, and the method is suitable for popularization and application. And data complementation, efficiency optimization and precision improvement are realized.

The invention discloses a method for testing weather resistance of a material based on a low-temperature ice and snow environment, which belongs to the technical field of material testing, and comprises the following steps: generating a dynamic environment parameter set according to an environment simulation script, applying dynamically changing ice and snow loads and multiple physical and chemical environment stresses in a preset composite environment stress cabin, constructing a coupling environment field acting on the to-be-tested sample; and acquiring the state of the to-be-tested sample in the coupling environment field in real time, generating a multi-dimensional monitoring data set, performing comparative analysis on the multi-dimensional monitoring data set and a preset material aging characteristic template, generating material response data representing the current state of the to-be-tested sample, and constructing an environment parameter adjustment instruction set to regulate and control the coupling environment field in the composite environment stress cabin in real time. According to the method, a closed-loop feedback control strategy combining construction of a dynamic coupling environment field and real-time monitoring of material response is adopted, intelligent acceleration of the testing process can be achieved on the premise that the authenticity of a failure mechanism is guaranteed, and the testing efficiency and the accuracy of a result are remarkably improved.

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

The invention relates to the technical field of solar thermal power generation, and discloses a mirror field and heat absorber cooperative control method and system, and the system comprises a simulation coupling module which determines a light incident angle based on irradiation data and a sun position model, builds a heliostat model in a simulation environment, simulates a three-dimensional thermal fluid, determines a heat absorber model, and controls the heliostat model and the heat absorber model; the control strategy module determines a control strategy according to the heliostat model and the heat absorber model, the control strategy module integrates a plurality of intelligent control algorithms, predicts a future state and adjusts control input based on the models, and the environment simulation module provides a training scene and a fault working condition scene of extreme weather and sets the extreme weather as a plurality of risk levels. The data analysis module collects and stores operation data, the operation state and performance indexes are displayed through a visual interface, control input is adjusted for the actual working condition and the future state on the basis of a dynamic model, and good control stability is achieved.

The invention belongs to the technical field of agronomy experiment devices, and particularly relates to a mulch-mulched soil environment simulation device which comprises a closed space, an air inlet and an air outlet. The mulching film sample is arranged in the closed space; the top of the soil simulation assembly is in contact with the bottom of the mulching film sample, and the soil simulation assembly is used for simulating a soil environment covered by the bottom of the mulching film sample; the natural environment simulation assembly is communicated with the closed space, the natural environment simulation assembly is used for simulating environmental conditions of the top of the mulching film sample, and the environmental conditions comprise temperature and humidity parameters, illumination parameters, rainfall parameters and wind speed parameters. According to the invention, researchers can accurately and controllably carry out experiments indoors, simulate soil states under different mulching film materials and environmental conditions, and deeply understand the influence of mulching film mulching on key parameters such as soil moisture, temperature and gas exchange. Scientific basis is provided for agricultural production and crop management, and sustainable development of agriculture is promoted.

The invention discloses a performance test system for an aluminum electrolytic capacitor, and relates to the technical field of capacitor performance test, an environment simulation module accurately simulates a high-temperature and high-humidity environment, and an electrical performance monitoring module obtains key performance parameters in real time; the dynamic parameter acquisition module detects the electrolyte evaporation rate and the high-frequency impedance response curve change based on a mass loss method, the data analysis module comprehensively evaluates the stability of the operation performance, and the test adjustment module predicts and dynamically adjusts the test condition according to the abnormal degree, thereby achieving the comprehensive and accurate evaluation of the performance of the aluminum electrolytic capacitor. The test accuracy is effectively improved, the service life prediction is optimized, and high-reliability guarantee is provided for an industrial control system.

The invention discloses a hydraulic engineering intelligent monitoring method and system based on digital twinning, and relates to the technical field of intelligent monitoring, and the method comprises the steps: arranging a multi-modal sensor to collect multi-modal data, and carrying out the preprocessing of the multi-modal data; based on the preprocessed multi-modal data, constructing an intelligent ecological self-adaptive early warning model by using a random forest algorithm, and generating an intelligent ecological early warning index for real-time early warning; deploying the constructed intelligent ecological self-adaptive early warning model at a distributed edge computing node, and updating real-time data; based on the updated real-time data, constructing a multi-level environment simulation model to generate an intelligent ecological influence index, and performing risk prediction according to the intelligent ecological influence index; risks are monitored in real time by combining virtual reality VR with a multi-level environment simulation model. According to the method, comprehensive dynamic simulation of the water conservancy project under different environment conditions is realized by constructing the multi-level environment simulation model.

The invention discloses a fatigue test method for a cabin structural member of an offshore wind power generator. A test piece is subjected to surface treatment, a multi-sensor array is arranged, the test piece is placed in a combined system of a multi-axis dynamic loading unit and a collaborative environment simulation cabin, an intelligent control and analysis platform synchronously applies a multi-axis alternating load, salt spray corrosion and a circulating temperature and humidity environment, and real marine service conditions are simulated; the state of a test piece is evaluated in real time based on criteria such as a strain concentration coefficient and acoustic emission energy, a strengthening test is started for potential damage risks, a load strategy is adjusted to track crack propagation when microcracks are monitored, and after the test is ended, a fatigue life prediction model is established or calibrated by combining failure test piece analysis data. And outputting a life evaluation result and a structure improvement suggestion. Through the multi-factor collaborative simulation and self-adaptive control technology, the authenticity and efficiency of the test are improved, and technical support is provided for design optimization and reliability guarantee of offshore wind power cabin structural parts.

The invention belongs to the technical field of photo-thermal performance detection of building envelope structures, and particularly relates to a device and a method for detecting a solar heat gain coefficient under dynamic meteorological conditions of door and window curtain walls. The invention discloses a device for detecting a solar heat gain coefficient under a door and window curtain wall dynamic meteorological condition, and the device comprises an outdoor environment simulation hot chamber which comprises a solar radiation simulation system, a wind speed simulation system, and a temperature and humidity simulation system; an environmental space; the heat metering box and the outdoor environment simulation hot chamber are arranged in the horizontal direction, and the heat metering box is located in the environment space; a tested piece is arranged at the joint interface of the outdoor environment simulation hot chamber and the heat metering box along the vertical direction; the solar radiation simulation system adjusts the solar radiation intensity according to the received dynamic meteorological conditions, the wind speed simulation system adjusts the wind speed according to the received dynamic meteorological conditions, and the temperature and humidity simulation system adjusts the temperature and humidity according to the received dynamic meteorological conditions. According to the invention, the detection precision of the adjustable light-transmitting enclosure structure can be improved.

The invention relates to a test system and method for simulating different working conditions of a relay, and the system is characterized in that the system comprises an environment simulation region and a dynamic load simulation region, and the dynamic load simulation region comprises an electrical simulation region, a data collection region, and a data processing and control module; the environment simulation area is used for simulating working environment parameters of the relay, including temperature, humidity and mechanical stress; the environment simulation area is provided with a shell, and heating devices located on the top, the bottom and the side face of the shell are arranged in the shell and used for accurately adjusting the internal temperature. A ventilation opening is formed for adjusting air circulation; a temperature sensor and a humidity sensor are installed and used for monitoring environment temperature and humidity parameters in real time. According to the test system and the test method for simulating different working conditions of the relay, various environmental stresses can be synchronously applied, load changes can be dynamically simulated, data fusion analysis can be realized, and the accuracy of reliability verification of the relay can be improved.

According to the method, a set of parameterized simulation optimization design method integrating passive low carbon emission and high comfort is constructed for the design stage of a building scheme, and the method is a building low-carbon optimization design method based on an energy consumption-thermal comfort correlation model and comprises the steps that based on a parameterized building performance optimization model, an energy consumption-thermal comfort correlation model is established; establishing a parameterized model, performing microenvironment simulation by using a plug-in, and collecting data; sensitivity analysis of the parameterized model: carrying out sensitivity analysis by adopting random forest regression, gradient enhanced regression and decision tree regression, and discussing a relationship between a design variable and an environment target; and performing multi-target optimization based on performance simulation to obtain a compromise optimal result under multiple targets. According to the method, corresponding geometric and enclosure structure design parameter strategies can be provided from the aspects of building greenhouse gas emission, indoor and outdoor thermal environment comfort and the like, efficient design iteration and decision support is provided for designers, and sustainable development of green communities is promoted.

The invention relates to an aerial seeding seed microenvironment prediction system based on sand grain motion simulation and a method thereof, belongs to the field of unmanned aerial vehicle aerial seeding technology and environment simulation prediction, and provides a method for acquiring environment data through a multi-source heterogeneous micro-scale sensing network, predicting flow field data by using a sand grain-airflow coupling simulation engine driven by a graph neural network, and predicting the flow field data by using a multi-source heterogeneous micro-scale sensing network. And calculating a seed motion track and an anti-displacement coefficient through a seed-sand multi-physics field coupling behavior prediction model, and generating a displacement risk probability distribution diagram. And the self-adaptive aerial seeding parameter intelligent optimization system optimizes the hovering height and the ejection parameters according to the parameters, and precise ejection is realized through a variable-rigidity ejection execution mechanism. According to the system, the anti-displacement coefficient of the seeds is remarkably improved to 2.8 times, the problem that the seeds are prone to displacement in the sand wind environment is effectively solved, the precision and success rate of aerial seeding of the unmanned aerial vehicle are improved, and efficient technical support is provided for desertification control.

The invention belongs to the technical field of wind tunnel simulation, and particularly relates to a multi-physics field coupling environment simulation device, which comprises a base, an upper surface of the base is fixedly connected with a simulation cabin, one side wall of the simulation cabin is provided with a plurality of horizontal flow fans, a plurality of rotating flow fans arranged around the simulation cabin by a circle are mounted on the upper surface of the base, and a top portion of the simulation cabin is provided with a plurality of vertical flow fans. The multi-physics field coupling environment simulation device of the invention is used for simulating complex environments of three-dimensional multi-physics field coupling under different weathers, which improves the diversity of wind tunnel tests.

The utility model provides a sealing aging test device for multi-environment simulation. The sealing aging test device comprises an upper end cover, a lower end cover, a gasket, a to-be-tested sealing ring and a sealing ring, the gasket is arranged between each stage of lower end cover and the upper end cover, the to-be-tested sealing ring is arranged between each stage of lower end cover and the gasket, and the sealing rings are arranged between the gasket and each stage of upper end cover and between the middle upper end cover and the middle lower end cover; the end covers are connected through bolts, and the gaskets are in interference fit connection or threaded connection with the upper end covers; the end cover center hole channel forms a first flow channel, the outer side hole channel forms a second flow channel, and flow channel isolation is achieved through a sealing ring. The aging conditions of the sealing ring under different compression amounts can be tested by adjusting the thickness of the gasket, the influence of different unbalance loading forces on the aging performance of the sealing ring can be tested by adjusting the gradient of the first end face of the gasket, and the aging conditions of the sealing ring under different working conditions can be simulated by inputting media into the two flow channels. Multiple groups of upper and lower end covers can be continuously added in the device.

The invention provides an electric energy meter calibration method and device and an electric energy meter. Belongs to the technical field of intelligent metering and power equipment detection. The method comprises the steps of performing operation scene simulation area division on an electric energy meter, generating simulation operation scene data containing composite environment stress according to carried equipment and product specifications, performing dynamic calibration equipment deployment, and constructing a dynamic calibration layout network integrating various environment simulation equipment; a real operation scene is simulated by integrating various composite environmental stresses, so that the metering reliability of the electric energy meter in various severe environments is improved, the electric energy meter can accurately adapt to different regional environments, and the regional adaptability is enhanced. The self-adaptive compensation parameters are dynamically generated, metering errors caused by environment changes are reduced, and power transaction disputes caused by inaccurate calibration are effectively reduced.