11 results about "Sensible heat" patented technology

The application discloses a lake expansion contribution decomposition calculation method, extracts lake area and reverses water quantity change through remote sensing image and digital elevation model, discriminates precipitation phase state by using a temperature threshold method, estimates ice and snow ablation amount by combining a degree-day factor method, and calculates total glacier runoff; a single-layer evaporation model is constructed, net radiation, sensible heat, latent heat and water body heat storage and other fluxes are calculated based on a lake surface energy balance equation, and daily lake surface evaporation is obtained; quantile mapping and Bayesian fusion are combined to correct lake surface precipitation; non-glacier runoff is calculated according to a lake water balance equation; the stable period and the expansion period are divided according to the lake area trend, the stable period hydrological mean value is taken as a benchmark to calculate the expansion period abnormal value, and finally, the expansion contribution of each hydrological factor is determined according to the proportion of the abnormal value in the total water quantity increment. Through the method, the contribution intensity of different driving factors is clear, scientific support is provided for simulating lake change and predicting evolution, and ecological protection and management strategies are more targeted.

The application discloses a high-rise building outer facade fire three-dimensional spread blocking and fire extinguishing control system, relates to the technical field of building fire protection, and is used for building fire spread behavior analysis and fire prevention and control under different outer facade structures. The system comprises a multi-source heterogeneous sensing module, a cross-modal evidence fusion research and judgment module, a linkage execution module, a self-adaptive dynamic quantitative blocking decision module and an intelligent targeted fire extinguishing cooperative decision module. Through cross-modal evidence fusion and dynamic trust punishment, the application effectively suppresses false fire alarms (false alarms) caused by environmental interference such as strong light reflection and steam. Based on dynamic quantitative calculation of the activation floor number and the extension distance of the smoke blocking vertical wall plate according to the heat release rate and the flame height of the fire scene, the application overcomes the failure defects of the static fireproof isolation belt. The application adopts a heat balance equation containing sensible heat and latent heat to calculate the water demand, combines with GA-BPNN jet trajectory wind deflection compensation, realizes precise targeted fire extinguishing under high-altitude strong wind, and thus improves the fire prevention and control capability and the intelligent level.

The application discloses a kind of based on satellite data's sensible heat latent heat influence under photovoltaic power prediction model's construction method, by obtaining photovoltaic field station's stationary satellite band and era5 meteorological assimilation data and carry out space-time alignment processing, calculate surface net radiation flux and surface soil heat flux, latent heat flux is calculated in combination with sensible heat flux, construct sensible heat flux and latent heat flux training set, carry out sensible heat flux and latent heat flux time series analysis by multiscale diffusion prediction network, output sensible heat flux and the short-term forecast data of latent heat flux, obtain historical near weather data and physical constraint data, jointly short-term forecast data carries out photovoltaic power prediction, constructs photovoltaic power prediction model, obtains the actual photovoltaic power measurement value of photovoltaic field station, combined with photovoltaic power prediction result carries out prediction accuracy evaluation to photovoltaic power prediction model, carries out model optimization based on evaluation result. With the effect of improving photovoltaic field station to respond to atmospheric sensible heat latent heat under photovoltaic power prediction ability.

This application provides a method for segmenting surface available energy, which can be applied to the field of climate and hydrological remote sensing technology. The method includes: acquiring surface environmental observation data of a target area at multiple times within a target duration; based on the surface environmental observation data at multiple times, determining target surface environmental variables corresponding to the target duration, including vegetation variables characterizing surface vegetation status, and average and fluctuating state variables of surface temperature, net surface radiation, and air temperature within the target duration; based on the target surface environmental variables, using an evaporation ratio expression to characterize the change of evaporation ratio with surface environmental variables, determining the target evaporation ratio corresponding to the target duration; and based on the target evaporation ratio, performing energy segmentation processing on the target surface available energy of the target area within the target duration to obtain the target latent heat flux and target sensible heat flux corresponding to the target duration.

An air conditioner including an outdoor unit; at least one indoor unit configured to cool and heat an indoor space while repeating operation (Thermo-ON) and operation stop (Thermo-OFF); a sensor unit configured to measure a temperature and humidity of each indoor space in which the at least one indoor unit is located; and a controller. The controller calculates a sensible heat load and a latent heat load of each indoor space, based on a time when the operation stop occurs, a time when the operation starts again after the operation stop occurs, and temperature and humidity information of each indoor space, derives target sensible heat and target latent heat based on the calculated sensible heat load and latent heat load, and derives a target refrigerant temperature and an air volume of the at least one indoor unit based on the target sensible heat and the target latent heat.

This utility model relates to the field of fresh air device technology and discloses a self-controlled anti-freeze temperature control device for fresh air units, including a fresh air unit box with functional partitions on both sides inside the box. This utility model uses a fresh air temperature sensor and a secondary fresh air sensor to detect the fresh air temperature, and an exhaust air temperature sensor to measure the exhaust air temperature. A temperature controller controls the electric heater to turn on, ensuring that the average temperature of multiple sensors is higher than the anti-freeze threshold. This provides both anti-freeze protection and energy savings. When the temperature is too high, the temperature controller can control the exhaust fan and exhaust impeller to utilize sensible heat recovery for auxiliary pre-cooling, reducing the cooling load on the cooling coil. When the temperature is too low, the exhaust fan and exhaust impeller stop operating, avoiding unnecessary equipment operation. This allows the device to automatically adjust and control according to temperature changes, providing excellent anti-freeze protection and being energy-efficient and environmentally friendly, greatly reducing the waste of electrical and thermal energy.

The present application relates to a kind of sea wind advection benefit evaluation method and system, wherein sea wind advection benefit evaluation method includes the following steps: S1. Construct high-precision gridded multi-parameter coupled urban meteorological model, output includes air temperature, humidity, wind speed and high-frequency meteorological parameters of surface total solar radiation;S2. Based on high-frequency meteorological parameters, reconstruct the high-resolution spatial and temporal field of outdoor heat stress index;S3. Based on the heat balance mechanism of urban three-dimensional space, total heat and water vapor budget are decoupled into three physical driving processes of advection transport, turbulent diffusion and artificial heat emission, extract the net advection sensible heat flux and net advection latent heat flux of sea wind advection;S4. Based on numerical differentiation method, nonlinear extraction of outdoor heat stress index on sensible heat and latent heat sensitivity weight coefficient;The present application solves the problem that traditional evaluation result and health net benefit are disconnected from two dimensions of bottom flux decoupling and human sensitivity weighting, realizes the accurate quantification of sea wind advection health net benefit.

This application provides a method and system for temporal reconstruction of land surface temperature considering energy distribution mechanisms. The method includes acquiring an energy feature dataset of a target area, wherein the energy feature dataset includes at least one of the following: temporally continuous land surface temperature data, net radiation data, latent heat flux data, sensible heat flux data, albedo data, and snow depth data for each pixel in the target area; performing abrupt change detection on the energy feature dataset based on the energy distribution of each pixel to obtain an identifier matrix corresponding to different stage types, wherein the stage types include snow cover stage, snowmelt stage, and snowless stage; performing regression fitting on the identifier matrix of any stage type to obtain the land surface temperature sequence of the stage type; generating a temporal optimization model based on constraints and the land surface temperature sequences of different stage types; and solving the objective function of the temporal optimization model to obtain the temporal land surface temperature.

The application discloses a circulating water injection and exhaust temperature control method for compressed air energy storage artificial cavern gas storage maintenance, which comprises the following steps: S1, pressure relief and gas emission, monitoring the temperature and pressure of the gas phase, if the pressure drops to normal pressure, then drain water, if the temperature drops to the cold brittle threshold, then close the exhaust unit and enter the water injection heat compensation; S2, water injection heat compensation, using the sensible heat of the injected water and the compression heat generated by the water compressed gas to heat compensate the low-temperature gas phase space and the lining structure; S3, interlocking control and cyclic iteration, based on real-time temperature and pressure data, pressure-temperature double interlocking control is executed, only when the pressure is less than the safety pressure threshold and the temperature is less than the target temperature threshold, the water injection is continuously carried out, otherwise, the water injection is stopped, and after heat exchange, the step S1 is returned, until the pressure drops to normal pressure; S4, water drainage and finishing, draining the water in the cavern, and completing the maintenance preparation. The application can actively avoid the gas emission deep cooling risk, guarantee the safety of the surrounding rock and the sealing structure, and significantly shorten the shutdown maintenance cycle.

This invention discloses a method for predicting the melting settlement of ice-rich permafrost, relating to the fields of geotechnical engineering and disaster prevention and mitigation in cold regions. The method includes: constructing a layered parameter model of the permafrost; vectorizing the temperature field based on Fourier's law and the sensible heat capacity method; and automatically identifying the soil type based on an initial void ratio threshold. For ordinary permafrost, a large-strain consolidation model is used to calculate settlement; for ice-rich layers, a volumetric collapse model is used to directly convert the melted ice volume into settlement. The method combines Lagrange dynamic mesh technology to update node coordinates and physical parameters in real time, achieving bidirectional coupling of thermodynamic parameters, and introduces adaptive time step control to improve computational efficiency. This invention, through the coupling of consolidation and collapse mechanisms, solves the problems of inaccurate settlement prediction and low computational efficiency in traditional methods for high-ice-content permafrost. It can accurately simulate the settlement deformation of complex strata such as ice wedges and ice lenses under long-term thermal action, and is suitable for stability assessment and disaster prevention in cold region engineering.