45 results about "Climate system" patented technology

The invention relates to the technical field of urban climatic science, in particular to an urban climatic environment rapid evaluation system and method. According to the technical scheme, the system comprises a data acquisition module, an index standardization and feature extraction module, an index weighting and dynamic parameter adjustment module and a climatic environment comprehensive index generation module. According to the method, based on meteorological and environmental multi-source data of an urban area, a multi-dimensional evaluation index set is firstly constructed through standardization and normalization processing, and then a fuzzy logic harmonic function and a non-linear harmonic function are utilized to identify the coupling relation and the cooperation strength among the indexes; and meanwhile, a dynamic optimization mechanism is introduced to adaptively adjust each weight coefficient according to the real-time index sensitivity, an urban climate environment index is finally generated, and spatial visual expression and grade early warning are realized. According to the method, rapid evaluation and trend judgment of the urban climate system state can be realized, and the method is suitable for urban planning, climate risk monitoring and toughness analysis.

A roof-mounted unit for a roof-mounted air conditioner, wherein the roof-mounted unit is arranged on an exterior wall surface of a roof, characterized in that the roof-mounted unit comprises a top cover and a base plate assembly (1), wherein the base plate assembly (1) comprises a base plate (2) and a cover element (3), and when the top cover is attached to the base plate assembly (1) and the roof-mounted unit is arranged on the roof, the cover element (3) covers at least a portion of the surface of the base plate (2) that is exposed outside the top cover and the roof, wherein the base plate (2) is provided with a snap-in fastener (21) extending outwards from a base of the base plate (2), and wherein the cover element (3) has a bottom provided with edges (31), wherein the snap-in fastener (21) interacts with the edges (31) to secure the base plate (2) and the cover element (3).and wherein the underside of the cover element (3) is provided with a pull cord (32, 33) extending between the edges (31), and wherein the base plate (2) is provided with a recess (22, 23) for receiving the pull cord (32, 33).

The invention discloses a construction method of an earth system coupling device and the earth system coupling device, and the construction method comprises the steps: a first component module construction step: constructing a plurality of first component modules of a global climate system based on full coupling, the plurality of first component modules comprise an atmospheric component module, a land component module, a sea ice component module, a ground ice component module, a river component module, a first ocean component module and a sea wave component module; a second component module construction step: constructing a second component module based on the ocean circulation simulation system, wherein the second component module is a second ocean component module; a replacement step: replacing the first ocean component module with the second ocean component module; and a coupling step: reconstructing a coupling application interface of the coupler of the global climate system based on full coupling, and carrying out data exchange and interaction among different component modules through the coupling application interface.

The invention discloses a statistical correction method for land water resource availability simulation data, and belongs to the technical field of climate data analysis. Constructing a space-time distribution simulation capability evaluation model, screening out a global climate system mode with a relatively good simulation effect, and determining historical simulation data # imgabs0 # and future simulation data # imgabs1 #; a cumulative distribution function is established, and the variable quantity and the change rate from historical simulation data # imgabs2 # of the same quantile to future simulation data # imgabs3 # are quantized; selecting a mode simulation trend storage mode, and obtaining deviation-corrected future simulation data # imgabs4 # by using a quantile mapping method; and sequencing the future simulation data # imgabs5 # subjected to deviation correction to obtain future simulation data # imgabs6 # based on a time sequence, and performing deviation correction on the multi-period simulation data to form a perfect historical simulation data set and a future simulation data set. According to the method, the WA simulation precision is fundamentally improved by taking the WA as a correction target variable, the statistical correction effect of the quantile mapping method on the WA variable is analyzed, and most climate scale research requirements are met.

A closed-loop climate system including a water tank; cooling pads positioned above the water tank, a thermoelectric unit (TEU) connectable to a power supply, and configured to cool / heat water received from the water tank, a sprinkler tube positioned above the cooling pads and configured to sprinkle the water heated by the TEU onto the cooling pads.

The invention belongs to the technical field of hydrology and water resource and climate prediction crossing, and discloses a medium-and-long-term runoff prediction method fusing a data enhancement technology and a machine learning model, which comprises the following steps: collecting runoff data and climate system index data of a target area, performing factor screening by adopting a replacement accuracy method, the method comprises the following steps: dividing data into a training set and a test set, constructing a time lag factor, carrying out SMOTE data enhancement on the training set, carrying out runoff prediction model construction by using a support vector machine regression model, carrying out parameter optimization by using grid search, calculating an evaluation index to carry out model performance evaluation, and finally predicting and outputting a medium and long-term runoff time sequence according to the model. The method effectively solves the problem of low prediction precision caused by data scarcity and insufficient factor selection in a traditional method. The method overcomes the problems of data scarcity, imbalance and insufficient model generalization ability in medium and long term runoff prediction, and has wide application prospects in the fields of medium and long term runoff prediction and water resource management.

The application discloses a filtering method in marine climate research and application thereof, and comprises the following steps: (1) Fourier transform is conducted on time or space data x to obtain results in a frequency domain or a wave number domain; (2) a function is used to conduct a truncation processing on the frequency domain or the wave number domain, and low-pass and high-pass filtering frequency domain results are obtained respectively; (3) energy of the low-pass and high-pass filtering results is calculated and analyzed; (4) inverse Fourier transform is conducted on the low-pass filtering frequency domain or wave number domain result, and a large-scale characteristic distribution in the time or space domain can be obtained; (5) when the filtering result meets a filtering quality index in the frequency or wave number domain obtained in the step (3) by 20%, the function parameter in the step (2) belongs to a range of function parameters suitable for scale division; and (6) the filtering result is brought into a marine climate system of the earth to improve accuracy. The application aims to provide a filtering method and application for judging and improving scale division accuracy in marine climate research.

Carbon dioxide air conditioning system comprising a cooling device (2) with a refrigerant circuit (3), wherein carbon dioxide (K) is incorporated as a refrigerant in the refrigerant circuit (3) and wherein the refrigerant circuit (3) comprises means for evaporating and condensing the carbon dioxide (K).

A method for determining a setpoint heat transfer rate. The method comprises receiving a cabin temperature and an input of a human-machine interface and / or an autonomous climate system, detennining a current heat loss of an occupant based on the cabin temperature, detennining a desired heat loss of the occupant based on the input, and detennining the total setpoint heat transfer rate based on the current and desired heat losses.

The invention provides a system modeling method and device based on multi-time scale characteristics, equipment and a medium, and relates to the field of data processing. The method comprises the following steps: determining a to-be-modeled target system and target parameters in the target system, wherein the target system (such as a climate system) is used for predicting a state value of the target parameters at any moment; acquiring sample track data of the target parameters changing along with time; according to the sample trajectory data, obtaining feature representations of the target parameters on a plurality of different time scales; determining an initial value of a slow variable and an initial value of a fast variable corresponding to the target parameter according to the plurality of feature representations; and training the target system according to the initial value of the slow variable, the initial value of the fast variable, the normal differential equation corresponding to the slow variable and the normal differential equation corresponding to the fast variable. According to the method, a complex system (target system) with significant multi-time scale characteristics can be modeled, so that the target system can accurately predict the system state.

The application relates to the field of atmospheric science and discloses an El Nino event identification and La Nina transition early warning method, equipment and medium. The method uses the sea surface temperature and the near-surface 2-meter air temperature data in the fifth-generation atmospheric reanalysis product ERA5 of the European Centre for Medium-Range Weather Forecasts, calculates the lag cross-correlation coefficient between the sea temperature grid points and the air temperature grid points, and constructs a directed network between the global air temperature and the equatorial mid-east Pacific and equatorial mid-Pacific sea temperature. The average link strength is used to quantify the importance of the air temperature node, the spatial and temporal changes of the link number and the link strength are combined, the key area with a leading response to the El Nino is identified, and the transition of the El Nino event to the La Nina event is early warned. The application helps us to deeply understand the influence of the El Nino event on the global climate system, improves the prediction accuracy of the La Nina event, and thus provides a scientific basis for the formulation of disaster prevention and response strategies.

A climate-controlled freight container (10) comprises a casing (12), enclosing a cargo compartment (20) and a control compartment (26). The container further comprises a climate system (30) that has at least two climate modules (40) and an air distribution arrangement (21), configured to distribute air from the climate system into the cargo compartment and. A central climate-control unit (52) is configured for collection of measurements associated with climate conditions of the cargo compartment and for controlling the climate system. Each of the climate modules is configured for adapting climate properties of air flowing through the climate modules from a return air plenum (36) to a supply air plenum (34). Each of the at least two climate modules comprises a local climate-control unit (46), configured for controlling an operation of the climate module. The central climate-control unit is configured for providing operational instructions to the local climate-control units.

The invention discloses a method and a system for constructing a climatic change comprehensive evaluation model E3METL. The method comprises the steps that the model CE3METL takes a lambda endogenous economic growth model as a kernel and is completed by coupling an energy system and a simple climatic system, and the specific construction steps are as follows: constructing an input-output relationship of an economic department based on a lambda endogenous economic growth theory; an investment consumption relationship; a traditional Cobb-Douglas production function is improved, and energy serves as independent input to be introduced into an input-output relation; the method comprises the following steps: introducing technical cost, carbon tax, subsidy and other emission reduction policy variables, modifying a classical Logistic technology diffusion curve, considering the resource potential of each technology, and constructing a Logistic curve group to describe the multi-energy technology evolution; and developing a two-factor learning curve based on the'dry middle school 'and the'research middle school', so as to describe the progress of the endogenous technology. The method and the system for constructing the climatic change comprehensive evaluation model E3METL have a wide market prospect.

The invention discloses a method for analyzing long-term response of ozone in the Antarctic stratosphere to high-energy particle sedimentation, which comprises the following specific steps: firstly, acquiring vertical distribution characteristics of ozone from the Antarctic stratosphere to the middle layer from January to December in 30 years, and drawing a historical vertical distribution diagram; compiling a special method technical scheme for analyzing the long-term response of the ozone in the Antarctic stratosphere to the sedimentation of the high-energy particles, and carrying out technical disclosure to workers; then, the geomagnetic index is adopted as an agent index of high-energy particle sedimentation, a unary linear regression model of the southern hemisphere winter atmospheric variable is established, and the regression model is shown in the specification. The process that high-energy particles are settled and generated and conveyed to the stratosphere through polar region vortex and the ozone loss chemical process of the high-energy particles can be quantitatively analyzed, and the potential influence of extreme space weather events on an earth climate system can be conveniently evaluated.

The application relates to the technical field of data processing, and discloses a hydrological climate element history sequence reconstruction method based on multi-layer nested coupling, which comprises the following steps: unifying the time resolution of multi-source substitute data and observation sequences; performing adaptive noise complete ensemble empirical mode decomposition, recombining to generate high-frequency layer and low-frequency layer control sequences; calculating cross wavelet power spectrum, extracting instantaneous phase difference sequences and wavelet square coherence sequences; constructing a nested coupling regression benchmark model, calculating dynamic high-low frequency regression coefficients and generating a two-dimensional system lookup table; using the two-dimensional system lookup table to obtain regression coefficients of a history period, combining with coherent logic gate control sequences generated by the wavelet square coherence sequences to process distorted data, and outputting reconstructed sequences. The application isolates the interference of signals of different frequency bands, adapts to the time-varying properties of climate system parameters, and improves the reconstruction quality of long-term trends and short-term fluctuations.

This invention discloses a climate prediction method and apparatus based on observation constraints and a multi-time-dependent sliding window. The method includes: acquiring the first climate data for the current and historical years predicted by a specified climate system model; for each month in the historical year: using the first climate data of that month and a predetermined number of previous months as input features, and the actual climate data of that month as labels, generating sample pairs for that month and adding them to a training sample library; training a pre-constructed climate prediction model using the training sample library with the objective of minimizing the joint loss, the joint loss including the root mean square error, spatial anomaly correlation coefficient, and prediction score characterizing the model's prediction performance; for any month to be predicted in the current year: inputting the first climate data of that month and a predetermined number of previous months into the trained climate prediction model, and outputting the climate prediction result for that month. This invention improves the reliability and fine spatiotemporal resolution of climate prediction.

The invention comprises systems and methods for evaluating changes in the operational efficiency of an HVAC system over time. The climate control system obtains temperature measurements from at least a first location conditioned by the climate system, and status of said HVAC system. One or more processors receives measurements of outside temperatures from at least one source other than said HVAC system and compares said temperature measurements from said first location with expected temperature measurements. The expected temperature measurements are based at least in part upon past temperature measurements.

The invention relates to the technical field of photovoltaic generating capacity prediction. The invention provides a regional photovoltaic annual generating capacity prediction method and system fused with a climate change trend. The method comprises the following steps: constructing and preprocessing a multi-source data set including historical power generation, historical meteorological observation, climate system mode output and photovoltaic module performance parameters; extracting trend components and volatility components of climate key factors in a future year, and generating a multi-path climate change scene; establishing a component performance attenuation-climatic factor dynamic response model, and outputting a photovoltaic component equivalent power generation efficiency sequence considering a climatic change cumulative effect; based on photovoltaic power station space distribution and landform data, a region-level power generation capacity space-time aggregation model is constructed, and through scale conversion and probability aggregation, a prediction result and a confidence interval of photovoltaic annual power generation capacity of a target region are output. The problem that the long-term prediction deviation is large due to the fact that an existing photovoltaic generating capacity prediction method does not fully consider the future climate change trend influence is solved.

This invention, based on spatiotemporal analysis and deep learning, proposes a joint downscaling method for multiple oceanic elements, belonging to the field of meteorological and climate prediction and data processing technology. It includes: S1, data preparation and preprocessing; S2, multivariate empirical mode decomposition (MEOF); ​​S3, constructing an SRGAN model capable of learning spatial mode mapping relationships at different resolutions; and S4, generation and reconstruction of high-resolution ocean fields. This invention obtains joint spatial modes and time series through multivariate empirical mode decomposition. The model's learning of the joint spatial modes maintains the inherent spatiotemporal coupling relationships between multiple variables. It significantly improves the detail restoration capability of the downscaling results. In adversarial training, the model can generate more realistic and detailed high-resolution spatial structures, effectively capturing complex nonlinear processes in the climate system. It is highly efficient and flexible; after model training, it can quickly downscale long-term, multi-scenario low-resolution data, greatly saving computational resources.

Disclosed are systems and methods that provide a novel framework for a secure, geofenced-based control and management of a thermostat and / or an associated HV AC / baseboard climate system. Activities related to a status, cunent operation mode, temperature control and / or operation / temperature changes can be based on detected user presence / occupancy within a geofenced area that corresponds to the climate system. The disclosed framework can further or alternatively base control and / or management of the thermostat based on whether operational values (e.g., temperatures, for example) conelate with particular deviations from operational settings (e.g., setpoints, for example). Thus, the disclosed framework can enable an automated and / or dynamic operational control of a climate system based on geofenced and current and / or requested operational values.

The application provides a system modeling method and device based on multi-time scale characteristics, equipment and medium, and relates to the field of data processing. The method comprises the following steps: determining a target system to be modeled and a target parameter in the target system, the target system (for example, a climate system) being used to predict the state value of the target parameter at any time; obtaining sample trajectory data of the target parameter changing over time; obtaining feature representations of the target parameter on multiple different time scales according to the sample trajectory data; determining initial values of slow variables and initial values of fast variables corresponding to the target parameter according to the multiple feature representations; and training the target system according to the initial values of the slow variables, the initial values of the fast variables, a neural ordinary differential equation corresponding to the slow variables, and a neural ordinary differential equation corresponding to the fast variables. The application can model a complex system (the target system) with significant multi-time scale characteristics, so that the target system can accurately predict the state of the system.

1. The name of the design product: climate system simulation comprehensive test bench. 2. The use of the design product: for temperature, humidity, low pressure, vibration coupling environment reliability test system. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view. 5. The bottom of the design product is not easy to see or not visible during use, omit the top view.

A closed-loop climate system including a a water tank; cooling pads positioned above the water tank, a thermoelectric unit (TEU) connectable to a power supply, and configured to cool / heat water received from the water tank, a sprinkler tube positioned above the cooling pads and configured to sprinkle the water heated by the TEU onto the cooling pads.

Air handling system for a climate control system in a housing that includes at least a delimited space with controlled environment, CE space. The air handling system includes an air handling unit, AHU, a pipe system and a perforated plate assembly. The pipe system includes a branched tree-like structure of conduits, that branches in the direction from the air handling unit towards the perforated plate assembly for homogenous distribution of air over the perforated plate assembly such that the air flow through the perforated plate assembly into the CE space is an air flow under laminar flow conditions. Also, a climate system for climate control in such a delimited space, a modular unit including such a delimited space and such a climate system, and an assembly of modular units.

The present invention relates to a heat exchanger, in particular a condenser, which is integrated with a receiver dryer and is used for an air conditioning system of an electric vehicle. An objective of the present invention is to provide a heat exchanger in which the condenser and the receiver dryer are mounted, and an effective volume of the receiver dryer is configured at an upper end of a subcooling area, so that the dead volume of the receiver dryer is minimized.

The present invention discloses a statistical correction method for terrestrial water resource availability simulation data, belonging to the field of climate data analysis technology. A spatiotemporal distribution simulation capability assessment model is constructed to screen global climate system models with good simulation effects, determine historical simulation data #imgabs0# and future simulation data #imgabs1#; establish a cumulative distribution function to quantify the amount and rate of change from historical simulation data #imgabs2# at the same quantile to future simulation data #imgabs3#; select a model simulation trend preservation method, and use the quantile mapping method to obtain bias-corrected future simulation data #imgabs4#; sort the bias-corrected future simulation data #imgabs5# to obtain time-series-based future simulation data #imgabs6#, and perform bias correction on multi-period simulation data to form a complete historical simulation data set and future simulation data set. The present invention uses WA as the correction target variable to fundamentally improve the WA simulation accuracy, analyzes the statistical correction effect of the quantile mapping method on the WA variable, and meets the needs of most climate-scale research.

The invention discloses a CF3CH2OCF3 based gas composition and a use method of the CF3CH2OCF3 based gas composition. In the invention, in the aspect of environmental friendliness, the global warming potential value is obviously reduced, and the greenhouse gas emission pressure in the semiconductor manufacturing process can be greatly reduced. As an alternative scheme of a traditional high-GWP gas, the application of the gas composition helps enterprises to meet increasingly strict requirements of environmental protection laws and regulations, promotes the electronic manufacturing industry to transform to a green and low-carbon direction and reduces negative effects on a global climate system, and in the aspect of process suitability, the gas composition has good gas-phase stability, and has good application prospects. And compatibility with existing gas delivery and control equipment can be realized. The gas can be directly introduced without large-scale transformation of a production line, the technical threshold and cost input of process switching are reduced, meanwhile, the safety and controllability of the gas in the transmission and storage process are guaranteed, the method is suitable for industrial continuous production scenes, the quality risk of subsequent processes is reduced, and the production yield of semiconductor devices is increased.

A closed-loop climate system including a water tank; cooling pads positioned above the water tank, a thermoelectric unit (TEU) connectable to a power supply, and configured to cool / heat water received from the water tank, a sprinkler tube positioned above the cooling pads and configured to sprinkle the water heated by the TEU onto the cooling pads.

Disclosed are climate systems and methods for control the climate systems. A climate system includes a refrigerant circuit, a first compressor, a second compressor, a first refrigerant-to-air heat exchanger, a second refrigerant-to-air heat exchanger, and a controller communicatively coupled to the first and second compressors. Respective outlets of the first and second compressors are fluidically coupled to the first refrigerant-to-air heat exchanger, the first refrigerant-to-air heat exchanger is fluidically coupled to the second refrigerant-to-air heat exchanger, and the second refrigerant-to-air heat exchanger is fluidically coupled with respective inlets of the first and second compressors. The fluidic connection between the second refrigerant-to-air heat exchanger and the first and second compressors includes a vertical split that is configured to mitigate or reduce the amount of compressor oil that migrates to dormant components.

Disclosed are systems that provide novel capabilities and component configurations for a climate system at a location, which can be a residential forced air cooling or heat pump, and the like. The disclosed system provides the ability for power to be provided to inherent system circuitry and components when there is no power input, which can be according to system needs, requirements, requests and / or other real-world events that cause such climate system to operate.