69 results about "Initial heat" patented technology

The invention discloses an outdoor display temperature control method and system, and the method comprises the steps: obtaining and analyzing the current body temperature data of an outdoor display, and setting an initial heat dissipation working condition of a heat dissipation device according to an analysis result; based on the historical meteorological data of the surrounding environment and a preset neural network model, constructing a prediction model for prediction to obtain environment temperature prediction data; analyzing the environment temperature prediction data, determining environment temperature change characteristics, and evaluating the environment temperature change based on the environment temperature change characteristics to obtain an environment temperature evaluation value; and determining a working adjustment coefficient based on the environment temperature evaluation value, and adjusting and controlling the initial heat dissipation working condition of the heat dissipation device based on the working adjustment coefficient. By combining the machine body temperature data and the environment temperature prediction data, accurate and intelligent adjustment of the working condition of the heat dissipation device is achieved, it is ensured that the outdoor displayer can keep the proper working temperature under different environment conditions, the heat dissipation efficiency of the outdoor displayer is improved, and stable operation is ensured.

The invention provides a heat supply digital twin modeling method and system based on a U3D engine and a medium. The method comprises the steps that a historical static data set and a historical dynamic data set are obtained for preprocessing, a historical static optimized data set and a historical dynamic optimized data set are obtained, a U3D engine is combined with a preset parameterized component library to conduct heat supply digital twinning model construction, initialization is conducted based on the historical static data set, and a heat supply digital twinning model is obtained. Obtaining an initial heat supply digital twinborn model, generating an LOD model set with different precisions through an LOD rendering method, inputting the historical dynamic optimization data set into the initial heat supply digital twinborn model for processing, obtaining a simulation data set and equipment operation state evaluation data, and evaluating the qualified state of the model through threshold comparison; according to the method, data security fusion is realized through the block chain, the hydraulic and thermal coupling model is constructed by using the U3D engine, and predictive maintenance and multi-objective optimization are realized through an intelligent algorithm, so that intelligent construction of the heat supply word twinborn model is realized.

This application discloses a method and related device for controlling in-vehicle temperature, relating to the field of automotive control technology. The solution includes collecting vehicle operating environment information, determining a target heating component and its corresponding target temperature value, as well as the target heating power of the air conditioner, based on the collected information. Both the target heating power and the target temperature value are positively correlated with the initial heat required to reach a specified in-vehicle ambient temperature. Finally, the temperature of the target heating component is controlled based on its target temperature value, and simultaneously, the heating power of the air conditioner is controlled based on the target heating power. In a coordinated control scenario, since the internal heating component is already activated to conduct heat to the user's local area, the local temperature can be quickly increased. Therefore, the heating power of the air conditioner can be appropriately reduced, thereby reducing the overall vehicle power consumption and increasing the electric vehicle's range in cold conditions.

This application provides an intelligent evaluation and analysis method for the heat transfer performance of a water-cooled furnace, comprising: collecting measured values ​​of the thickness of the cast-in-place material layer, the surface temperature of the front and rear arch water-cooled walls, the cumulative thickness of the slag layer, and the heat flux density from the water-cooled furnace wall detection system; quantifying the initial heat transfer resistance distribution of the two material layers, the cast-in-place material layer and the slag layer; evaluating the variation trajectory of the cast-in-place material layer thickness measurement value and the surface temperature of the front and rear arch water-cooled walls at different times based on the total comprehensive thermal resistance of the cast-in-place material layer and the slag layer; determining the triggering conditions for dynamic adjustment of the measurement point positions; and identifying the optimal distribution position and acquisition time interval of the measurement points on the front and rear arch water-cooled walls based on the triggering conditions for dynamic adjustment of the measurement point positions and the real-time feedback of the water-cooled wall detection system, thereby obtaining a measurement point layout scheme.

The invention relates to the technical field of warm air blowers, and particularly discloses a warm air blower heat loss dynamic metering method and system.The warm air blower heat loss dynamic metering method comprises the steps that real-time operation parameters, environment related parameters and warm air blower structure state parameters of a warm air blower are obtained; acquiring a heat loss feature set according to the real-time operation parameters, and generating a heat loss fluctuation sequence according to the heat loss feature set; generating a preliminary heat loss parameter according to the heat loss fluctuation sequence and an environment correlation parameter; warm air blower working condition accumulation parameters are obtained, and heat loss-scene adaptation correction is generated according to the warm air blower working condition accumulation parameters and the structure state parameters; and obtaining a heat loss metering value according to the initial heat loss parameter and the heat loss-scene adaptation correction. According to the method, through multi-source data fusion, heat loss feature accurate extraction and scene dynamic correction, interference of working condition changes, structural states and environmental factors on metering is effectively compensated, and the accuracy and adaptability of warm air blower heat loss metering are greatly improved.

The invention provides an online monitoring method, device and equipment for heat exchanger dirt, and relates to the field of heat exchangers. The problem that the gathering condition of dirt in the heat exchanger cannot be monitored online in real time in the prior art is solved. The detection method comprises the steps that current operation parameters of a target heat exchanger are obtained; determining the current dirt resistance value of the target heat exchanger according to the current operation parameters and the equipment parameters of the target heat exchanger; the current heat exchange coefficient of the target heat exchanger is determined according to the current dirt resistance value and the initial heat exchange coefficient of the target heat exchanger; and according to the current heat exchange coefficient of the target heat exchanger, a dirt detection result of the target heat exchanger is determined, and the dirt detection result is output and displayed. According to the scheme, real-time detection of dirt in the heat exchanger and real-time monitoring of the heat exchange efficiency of the heat exchanger are achieved, the heat exchange efficiency of the heat exchanger is improved, and the maintenance cost of the heat exchanger is reduced.

This application provides a method for analyzing heat distribution during the forming process of a titanium cup, comprising: determining the upper and lower boundary positions of the bending and re-bending action zone along the height direction of the cup wall based on transient temperature field data in the initial heat distribution dataset, using the corner radius of the mold as a geometric constraint, thereby obtaining the boundary range of the bending and re-bending action zone; performing edge detection on the transient temperature field data within the boundary range of the bending and re-bending action zone to identify areas where the local thermal intensity is abnormal due to the increase in material volume, and marking them as candidate areas to obtain a thermal intensity anomaly distribution map; extracting temperature peaks from the thermal intensity anomaly distribution map, and using a clustering algorithm to group the temperature peaks according to their spatial location and thermal intensity amplitude, thereby obtaining a set of grouped temperature peaks; and adjusting the blank holder force and feed speed at the location of the locally softened narrow band during the flanging forming process to eliminate the flanging springback concentration effect caused by the locally softened narrow band.

The invention discloses a semiconductor etching equipment heating control method and system. The method comprises the following steps: acquiring real-time temperature and heat flux density data of each region in etching equipment, and generating initial heat distribution mapping through spatial discretization and boundary division; carrying out heat diffusion dynamic characteristic analysis and abnormity correction according to the mapping data to obtain corrected heat distribution characteristics; performing multi-area heat conduction simulation on the basis of the characteristics in combination with a preset temperature equalization requirement to obtain initial power adjustment distribution; performing power distribution iterative optimization according to the distribution in combination with real-time temperature feedback to generate an optimized power distribution scheme; performing power regulation and control secondary verification on the scheme to obtain final power regulation and control distribution; and driving the heater to execute power output and dynamic adjustment in combination with a temperature gradient maintenance mechanism, and generating a continuous heat regulation and control record. According to the method provided by the invention, accurate and self-adaptive equalization control on the temperatures of multiple regions in the etching process can be realized.

The invention discloses a multi-effect evaporation seawater desalination system and method based on boiler waste heat, and belongs to the technical field of seawater desalination and industrial waste heat recovery. The system mainly comprises a multi-effect falling film evaporator, a boiler hot water loop, a feeding seawater preheating loop, a secondary steam pipeline and a distilled water and strong brine energy recovery loop which are connected in series. Low-temperature boiler hot water discharged by a thermal power plant serves as an initial heat source to drive first-effect evaporation; generated secondary steam is used as a heat source for gradual utilization; flash evaporation is carried out on flowing strong brine and distilled water by utilizing inter-effect pressure difference, and system steam is supplemented; and three-stage waste heat recovery is adopted to carry out countercurrent cascade preheating on the feeding seawater. Through multiple energy recovery and gradient utilization mechanisms, the low-grade industrial waste heat is utilized, and the water production ratio and the heat economy of the system are remarkably improved. Meanwhile, the falling film evaporation technology effectively reduces scaling and corrosion, ensures long-term stable operation of the system, and has the advantages of energy conservation, high efficiency and environmental protection.

The invention relates to the technical field of petroleum engineering drilling safety, and discloses a drilling well wall stability prediction method considering a hydrate reservoir creep effect, and the method comprises the following steps: S1, building hydrate reservoir initial heat flow field distribution based on TOUGH + HYDRATE software; s2, establishing an initial mechanical field of the hydrate reservoir by adopting FLAC3D software; s3, the TOUGH + HYDRATE software and the FLAC3D software are subjected to data interface coupling, and a multi-field coupling model is constructed; s4, carrying out a triaxial creep test, obtaining a strain-time curve, carrying out fitting analysis, preferably selecting a creep constitutive model, and carrying out parameter calibration; s5, fitting by utilizing origin software to obtain a function model of the creep parameters changing along with the saturation degree of the hydrate; and S6, well periphery parameter monitoring is conducted in the drilling simulation process. The method is suitable for borehole wall instability risk analysis under the synergistic effect of hydrate decomposition and reservoir creep.

The invention discloses a heat treatment setting method for high-precipitated-phase steel. The heat treatment setting method comprises the following steps that S1, materials are prepared, and an initial heat treatment window is determined; s2, DSC characteristic parameter acquisition and quantitative model establishment; the total heat release amount delta H of a redissolution heat release peak is in direct proportion to the non-redissolution volume fraction f of the precipitated phase in the steel, namely delta H = k * f, and k is a proportionality coefficient related to the steel type and the type of the precipitated phase; s3, quantitative setting of a solid solution process; s4, setting an aging / precipitation process; and S5, carrying out process verification and iterative optimization. According to the method, the quantitative model of the precipitated phase redissolution behavior is established, DSC test data is directly converted into key process parameters, the trial and error cost is reduced, and digital and intelligent design of the heat treatment process is achieved.

This invention relates to the field of mechanical manufacturing and welding automation technology, and discloses a method and system for real-time compensation of welding deformation of a skeleton based on dynamic feedback. The method includes acquiring three-dimensional geometric model data of the skeleton, material thickness distribution data, and welding path sequence data; processing this data to obtain an initial heat distribution map and a thermal deformation lag time series; extracting the superposition parameters of sequential thermal effects from the sequence, inputting these parameters into a preset neural network prediction model to obtain a predicted value of asynchronous deformation trend; if the predicted value exceeds a preset trend threshold, acquiring an adjustment signal to obtain a real-time compensation vector; updating the welding path sequence data based on the real-time compensation vector to obtain an optimized thermal deformation lag time series, which is then input into the neural network prediction model for iterative verification; if the superposition parameters of sequential thermal effects converge, obtaining the final predicted deformation distribution map; and generating a welding process control command sequence based on the distribution map. This method can solve the problem of low geometric accuracy in welded components.

The application provides a slow heat-storage-heat conduction synergic temperature control anti-cracking cement-based material and a preparation method thereof, and relates to the technical field of cement-based building materials. The material constructs a slow heat-storage-heat conduction synergic temperature control system by introducing a slow heat polymer, phase change capsules with different phase change temperature thresholds and liquid alloy heat conduction materials into a cement base. The slow heat polymer is used for delaying the early hydration reaction of cement and reducing the initial heat release rate. The phase change capsules with different phase change temperature thresholds absorb hydration heat in stages during the hydration process, realizing the step-by-step regulation of hydration temperature rise. The liquid alloy heat conduction material has the characteristics of phase change heat storage and high heat conduction, and can form an efficient heat transfer channel in the cement base, promote the uniform diffusion of heat and reduce the local temperature gradient. The synergistic effect of the three makes the hydration heat release peak present a hump distribution, effectively inhibits the temperature rise peak and temperature stress in the hydration process of cement, and significantly improves the anti-cracking performance of the cement-based material.

This invention relates to the field of modular component technology and discloses an integrated energy storage chip module component. It includes a packaging box containing an integrated energy storage chip. Pins are provided on both the front and rear surfaces of the packaging box. Limiting plates are fixedly connected to both the front and rear surfaces of the packaging box, with the limiting plates positioned above the pins. In this invention, because the width of the limiting clamp is greater than the pin, the limiting clamp can form a wrap-around limiting from both sides of the pin, preventing lateral displacement of the pin due to external force and protecting the solder joints from tearing. The heat generated by the integrated energy storage chip during operation is quickly conducted to the heat-absorbing metal plate through heat-absorbing copper plates attached to its front and rear surfaces, achieving initial heat transfer from the chip to the heat dissipation structure. After the fan starts, airflow is generated, accelerating the airflow within the groove. The flowing air carries away the heat from the heat-conducting rod and the side surface of the heat-absorbing metal plate, ensuring stable operation.

The invention discloses a sintering process physical quantity prediction method based on multi-model fusion, and belongs to the technical field of sintering process optimization. The method comprises the following steps: firstly, acquiring unstable heat distribution data under different carbon distribution working conditions through fluid simulation, extracting dynamic heat characteristics from the unstable heat distribution data, and constructing mixed characteristics by combining static coke distribution characteristics; a multi-model fusion neural network composed of a convolutional neural network, a bidirectional long-short-term memory network and Transform is adopted to carry out spatial-temporal feature joint learning, and prediction of future time step heat distribution is realized. And when actually measured data are missing, predicting initial heat data based on static characteristics through a trained initial step generator, and iteratively updating input by adopting an autoregression mode to complete full-time-domain heat evolution prediction. According to the method, the precision and generalization ability of heat prediction in the sintering process are effectively improved, and process optimization, energy conservation and emission reduction are supported.

The invention relates to the technical field of power modules, in particular to an efficient heat dissipation HPD power module. The high-efficiency heat dissipation HPD power module comprises a heat dissipation assembly, a module assembly and a shell. The heat dissipation assembly comprises a first bottom plate, a second bottom plate, a third bottom plate, a heat dissipation substrate and heat dissipation fins. The second bottom plate is provided with a liquid inlet flow channel and a liquid outlet flow channel, and the third bottom plate is provided with at least one heat exchange area. The partition plates in the heat exchange area divide the flow channel into the liquid inlet heat exchange flow channels and the liquid outlet heat exchange flow channels which are alternately arranged, and the height of the partition plates is smaller than the depth of the heat exchange area. After primary heat absorption of cooling liquid in the liquid inlet heat exchange flow channel is completed, the cooling liquid can pass through the heat dissipation fins and flow into the adjacent liquid outlet heat exchange flow channel through the top space of the partition plate, the laminar flow state of the cooling liquid is destroyed through the heat dissipation fins, turbulent flow and vortex are induced to be generated, and the internal heat mixing and convection heat exchange efficiency of the cooling liquid is enhanced.

The utility model relates to a kind of energy-saving asphalt waterproofing membrane processing with heat conducting oil furnace, and the utility model relates to coil processing technical field, heat conducting cylinder is fixedly arranged on the right side inner wall of combustion furnace, spiral heat conducting oil pipe is fixedly covered on heat conducting cylinder, and spiral heat conducting oil pipe is fixedly connected with the inner ring wall of combustion furnace, heat exchange passage is formed between the inside of combustion furnace and heat conducting cylinder and spiral heat conducting oil pipe, circulating pump is fixedly arranged on the upper portion front side of base, and the left and right sides of combustion furnace front side are respectively provided with oil inlet pipe and oil outlet pipe, oil inlet pipe and oil outlet pipe are respectively connected with the both ends of spiral heat conducting oil pipe, the output end of circulating pump is connected with oil inlet pipe, fan is fixedly arranged on the upper portion right side of base, and waste heat utilization mechanism connected with the air inlet pipe of fan is provided on combustion furnace, not only can high-temperature flue gas can have sufficient residence heat exchange time in combustion furnace, improve initial heat exchange efficiency, but also can utilize flue gas waste heat combustion-supporting air, improve combustion efficiency, make heat conducting oil furnace more energy-saving and environment-friendly.

The invention discloses a heat insulation type graphitization furnace which comprises a furnace body, a furnace cavity is formed in the furnace body, a high-temperature-resistant plate is installed on the outer side of the furnace cavity, a heating piece is arranged on the outer side of the high-temperature-resistant plate, a heat insulation cavity is formed in the furnace body, a pressure relief pipeline is installed at the side end of the furnace body and communicates with the heat insulation cavity, and the pressure relief pipeline communicates with the heat insulation cavity. The top of the furnace body is rotationally connected with an outer furnace cover, the top of the furnace cavity is rotationally connected with an inner furnace cover, a sealing assembly is installed at the bottom of the outer furnace cover, and the pressing plate is located on the upper surface of the inner furnace cover after rotating through the outer furnace cover. According to the heat insulation type graphitization furnace, the high-temperature-resistant plate installed on the outer side of the furnace cavity is of a high-strength heat-resistant structure, initial heat loss is reduced, the heat insulation cavity formed in the furnace body is of a hollow structure, conduction loss of heat of the furnace cavity through the wall face of the furnace body is reduced, and the arranged pressure relief pipeline effectively prevents the furnace body structure from being damaged by too high pressure of the heat insulation cavity; the overall service life of equipment is prolonged.

The invention provides an electric power line inspection method, which comprises the following steps: acquiring the hovering height and downwash airflow velocity of an unmanned aerial vehicle, and a heating point surface temperature distribution image; extracting an initial heating boundary contour, and determining airflow heat dissipation attenuation of each pixel position and a corrected temperature distribution image in a non-airflow interference state; performing temperature gradient region division on the corrected temperature distribution image, determining the difference degree of downwash airflow disturbance on different regions, adjusting a region division threshold value based on the difference degree, and determining a heating boundary contour coordinate; and according to temperature peak distribution in the heating boundary contour coordinates, determining a heating area intensity level and a boundary temperature threshold value, and when a difference value between an actual temperature value of each area in the corrected temperature distribution image and the boundary temperature threshold value exceeds a preset threshold value, re-extracting the contour coordinates to obtain an optimized heating boundary contour. By applying the method, temperature distortion and boundary offset caused by downwash airflow of the unmanned aerial vehicle are eliminated, and the thermal defect detection precision of the power equipment is improved.

Disclosed in the present application are a portable gas stove control method, system and apparatus, a storage medium and a gas stove. The method comprises the following steps: in response to a first operation of a user, controlling a portable gas stove to run at an initial heat level and calculating the current use duration of the portable gas stove, the first operation being a user's operation for configuring a combustion duration of the portable gas stove; when a difference between the current use duration and the combustion duration is a second preset duration, controlling an acousto-optic alarm apparatus to give an alarm and detecting whether the user performs the first operation within a first preset duration; when no first operation executed by a user is detected within the first preset duration, controlling the portable gas stove to adjust from the initial heat level to a first heat level, and calculating the running duration of the portable gas stove running at the first heat level; and when the running duration is equal to a difference between the second preset duration and the first preset duration, disconnecting a gas source of the portable gas stove. The present application can be widely applied to the technical field of portable gas stoves.

The invention relates to the technical field of image processing, in particular to a geothermal anomaly area prediction method based on an infrared image, and the method comprises the steps: collecting an initial heat source area in an infrared image of a target area at a current moment and at a preset number of historical moments before the current moment; according to the form rule degree and the edge sharpness degree of each initial heat source area, obtaining suspected geological heat source areas in the infrared image at the current moment, and a time phase area of each suspected geological heat source area at each historical moment; according to the stability of the spatial distribution characteristics between each suspected geological heat source area and each time phase area and the stability of the radiation intensity, obtaining the geothermal anomaly confidence of each suspected geological heat source area; the geothermal abnormal area is identified and predicted according to the geothermal abnormal confidence of each suspected geological heat source area in the infrared image at the current moment, and the accuracy of identifying and predicting the geothermal abnormal area is improved.

The invention provides a dynamic drawing method of a chemical heat exchange network flow chart based on relative temperature. The method comprises the following steps: determining pinch point data according to logistics data and pinch point analysis results; an initial heat exchange network flow chart is determined according to the relative relation between the logistics inlet and outlet temperature and the pinch point temperature; in response to the change of the nodes, the number of first grids in the horizontal direction and the interval of vertical grids are adjusted based on the positions of the nodes, and the positions of the nodes are determined based on the relative relation between the nodes and the pinch point temperature and the upstream and downstream sequence of all modules in the heat exchange network; in response to the change of the logistics data, adjusting the number of the second grids in the vertical direction and the interval of the horizontal grids based on the logistics data; and updating pinch point data based on the logistics data, adjusting the number of the first grids and the interval of the vertical grids based on the relative relationship between the logistics inlet and outlet temperature and the pinch point temperature, and adjusting the pinch point line position and the logistics line length.

This invention discloses a system and method for utilizing waste heat from waste incineration boiler flue gas and achieving ultra-clean emissions. The system includes a waste heat recovery tower, a heat exchanger and heat pump unit, a dechlorination water regulating unit, and a water treatment unit. In the waste heat recovery tower, after initial heat exchange between the flue gas and spray water, the hot water enters the heat exchanger and heat pump unit for primary and secondary heat exchange with the heat network water. After heat exchange, the heat network water is utilized within the heat network. Low-temperature water circulates back into the waste heat recovery tower for counter-current heat exchange with the flue gas, significantly reducing the moisture content in the low-temperature flue gas. This invention is applicable to scenarios such as waste incineration power plants and waste treatment plants that generate waste incineration boiler flue gas, effectively solving problems such as large fluctuations in pollutant emissions, heat waste, "white smoke" phenomenon in flue gas, and high wastewater treatment costs in existing flue gas treatment methods.

The invention relates to the technical field of dynamic simulation, and discloses an electric fireplace three-dimensional dynamic flame simulation generation method and system, and the method comprises the steps: obtaining a flame base region, carrying out temperature gradient solution and heat source intensity mapping, obtaining temperature gradient distribution and heat source intensity distribution, and carrying out heat flow direction vector screening, and obtaining an initial thermal driving vector; according to the initial thermal driving vector, acceleration weighting calculation is carried out to obtain a final acceleration, and spatial displacement calculation is carried out to obtain an actual track sequence; according to the actual track sequence, displacement correction is carried out, a coherent path sequence is generated, abnormity recognition is carried out, and an abnormal path is obtained; calculating the variance of the initial speed sequence according to the coherent path sequence to obtain an inter-frame continuity result, and performing trajectory smoothing according to the abnormal path to obtain an optimized trajectory sequence; and performing three-dimensional texture generation according to the optimized track sequence to obtain flame texture output. The method can realize dynamic high-precision simulation of flame.

The invention relates to the technical field of heat pumps, and discloses a heat pump optimization method and system, heat pump equipment and a storage medium, and the heat pump optimization method comprises the following steps: inputting selectable value ranges of all heat pump parameters into a heat pump performance prediction model; a plurality of initial heat pump parameter combinations and the predicted performance of the heat pump under each initial heat pump parameter combination are obtained based on the heat pump performance prediction model; screening the initial heat pump parameter combinations based on the predicted performance to obtain candidate heat pump parameter combinations; and optimizing the candidate heat pump parameter combination through a quantum optimization algorithm to obtain a target heat pump parameter combination so as to adjust the operation parameters of the heat pump based on the target heat pump parameter combination. The target heat pump parameter combination is searched in a mode of combining the heat pump performance prediction model and the quantum optimization algorithm, the dependence on physical experiments can be reduced, and the heat pump optimization efficiency and the adaptability to different working conditions are remarkably improved.

The application relates to the field of building physical environment simulation and energy-saving control technology, and discloses a green building microclimate regulation emission reduction and carbon sink increase method based on a city, which comprises the following steps: obtaining point cloud data and environmental parameters, solving an initial heat flow path, and calculating a directional velocity component and an air flow influence weight; using a pre-trained deep convolutional neural network to interactively deduce the directional velocity component and the initial heat flow path to obtain a predicted heat distribution, and comparing to obtain a deviation value matrix; performing layout optimization to obtain adjusted layout parameters, and performing boundary calculation to obtain an optimized heat flow path and a velocity vector field; constructing a non-equilibrium region and performing boundary correction processing to obtain a heat transfer difference; inputting a preset heat and humidity coupling equation to solve a maximum fluctuation amplitude; and using a pre-trained graph neural network to topologically deduce the optimized heat flow path to obtain an interaction model. The method realizes high-precision microclimate simulation.

The present disclosure provides a heat video generation method, a heat video generation device, a computer storage medium and an electronic device, and relates to the technical field of game videos. The heat video generation method comprises the following steps: obtaining an initial heat video, performing video content analysis on the initial heat video to obtain a plurality of heat point dimension information; performing fusion processing on a heat video in which the sum of the heat of at least one same heat point dimension information in the initial heat video is greater than a preset heat value to obtain an intermediate heat video; generating a target heat video corresponding to the video identifier from the corresponding game based on the video identifier of the intermediate heat video, to obtain a new heat video. The present disclosure can improve the number of heat videos and the richness of video content.

The invention discloses a corrosion-resistant high-temperature heat pump system for low-property medium heating, and belongs to the field of heat pump systems, the corrosion-resistant high-temperature heat pump system for low-property medium heating comprises an acid liquor barrel, a heat exchange component and a heating loop; the heat exchange component is arranged in the acid liquor barrel, the heating loop comprises a first heating loop, a second heating loop and a heat exchanger, the first heating loop is connected with the second heating loop through the heat exchanger, and the first compressor, the heat exchange component, the first electronic expansion valve and the heat exchanger are sequentially connected to form the first heating loop; the second compressor, the heat exchanger, the second electronic expansion valve and the evaporator are sequentially connected to form a second heating loop. A high-temperature-stage refrigerant and a low-temperature-stage refrigerant are selected, the high-temperature-stage refrigerant is responsible for heating an acid medium to about DEG C, the low-temperature-stage refrigerant absorbs heat from the environment and provides an initial heat source for the system, the COP of the cascade compression system is improved by 40% compared with that of a single-stage system, a good heating effect is achieved, and heating energy consumption can be reduced.

The present application relates to hydrogen fuel cell thermal management and control technical field, especially to a kind of extremely cold hydrogen fuel cell unmanned aerial vehicle cold start thermal management method and system.The method includes: collecting environment, stack, air inlet, air duct data and fusion determination icing risk and target air inlet temperature;According to the partition lighting and purging rhythm driving cathode flow channel wall conformal positive temperature coefficient heating element in situ heating, obtain standard air temperature and humidity;Combined with duty information and initial heat flow upper limit configuration coupling path, implement high temperature difference coupling heat transfer and cooling liquid preheating;Set activation discharge and execute microchannel temperature equalization and throttling;Select phase change heat storage and controllable bypass and form timing;Based on load prediction reference trajectory, carry out joint closed-loop optimal control, generate pump speed and three-way valve opening degree and heat flow distribution instruction.The present application can effectively shorten the cold start time, improve temperature field consistency and extremely cold running stability.

The application discloses a transformer heat dissipation performance prediction method based on digital twinning, which comprises the following steps: arranging a multi-point sensor on a transformer body, collecting real-time operation data to generate original operation data; preprocessing the original operation data to obtain preprocessed operation data; inputting the preprocessed operation data into a coupling model to output initial heat dissipation performance; comparing the initial heat dissipation performance with the preprocessed operation data to output corrected heat dissipation performance; completing feature extraction and learning operation to output second heat dissipation performance; fusing the corrected heat dissipation performance with the second heat dissipation performance to generate a digital twin; calculating temperature distribution by using the digital twin to obtain complete prediction results; and comparing the complete prediction results with a preset threshold, and triggering a risk prompt information when the early warning condition is met. The application realizes transformer heat dissipation performance prediction.