169 results about "Initial heat" patented technology

The invention discloses a heat dissipation optimization method and system for a power device based on heat flow path reconstruction, and aims to improve the heat dissipation efficiency of the power device in the working process and reduce the adverse effect of thermal stress on the performance and service life of the device. The method comprises the following steps: firstly, acquiring real-time temperature field distribution data of a target power module during the working period of a power device, and determining an initial heat flow path of the module based on the data; performing heat sensitivity analysis on each component in the target power module; identifying a heat flow shielding area according to the heat sensitive data, and reconstructing the initial heat flow path on this basis to generate an optimized heat flow path; and finally, an efficient heat dissipation channel is constructed according to the optimized heat flow path, so that effective heat dissipation optimization of the power device is realized. The method can dynamically identify the thermal bottleneck and actively optimize the heat dissipation path, is suitable for thermal management design of high-power-density electronic equipment, and has high engineering practical value.

The invention relates to the technical field of automatic control, in particular to an automatic control method and system for intelligent cooking equipment, and the method comprises the following steps: obtaining the liquid mass change and diffusion area based on a to-be-cooked food material, calculating the diffusion rate ratio, recognizing the structure type, calculating the fire power initial gradient, and generating the initial power; and constructing a composite expression quantity by combining a thermal expansion monitoring value, judging regional softening response information, identifying a heat flux gradient anomaly and marking an overheating trend, implementing offset stirring adjustment output, and generating dynamic regulation and control information. In the invention, based on food material structure feature information identification, classification number identification aiming at different structure types is realized, accurate matching of an initial control strategy is realized, fine control of heat energy supply at the initial stage of cooking is ensured, and the cooking efficiency is improved. Based on the thermal expansion coefficient, combined with the tissue compactness grade coefficient and the water activity change rate, composite calculation is carried out, and local over-cooking or under-cooking of food materials caused by insufficient expansion monitoring is avoided.

The invention discloses a genetic algorithm-based battery module heat dissipation channel optimization design method. The method comprises the following steps of S1, acquiring operation data of a battery module under a plurality of dynamic load working conditions; s2, constructing an initial heat dissipation channel topological structure model based on a physical packaging structure of the battery module and a flow channel layout constraint; s3, setting a multi-objective optimization objective function set; s4, performing heat-fluid-solid coupling simulation on each heat dissipation channel structure candidate body in the first generation population structure by taking the heat generation power matrix as a heat source boundary condition; s5, performing fitness calculation on the obtained heat-flow performance index set by using a multi-objective genetic algorithm based on Pareto optimal sorting; s6, repeating S4 and S5 until a preset convergence criterion or an upper limit of the number of iterations is met; and S7, carrying out comprehensive performance verification and manufacturing feasibility evaluation on the heat dissipation channel topological structure model. The method has the advantages of being high in global search capability, high in heat source response authenticity and good in structural expression diversity.

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 dissipation method and system for a servo driver based on artificial intelligence, and relates to the technical field of equipment heat dissipation, and the method comprises the steps: determining a plurality of initial heat dissipation installation points based on an infrared working video of the servo driver; determining a heat dissipation effect score of each point based on the infrared working video after the initial installation point is installed; determining multiple sets of subsequent heat dissipation mounting point schemes based on the heat dissipation effect score of each point and the infrared working video after the initial mounting point is mounted; based on the infrared working video of the servo driver, the infrared working video after the initial mounting point is mounted and the multiple sets of subsequent heat dissipation mounting point schemes, using a generation model to generate multiple sets of subsequent simulated infrared working videos; determining a target installation point scheme based on the plurality of sets of subsequent simulated infrared working videos; the heat dissipation equipment is installed based on the target installation point scheme, heat dissipation control is carried out based on the installed heat dissipation equipment, and the method can quickly and accurately determine the target installation scheme of the heat dissipation equipment.

The invention discloses a chip aging test method based on thermal migration analysis. The method comprises the following steps: acquiring power consumption distribution data, material attribute data and manufacturing process data; discrete mapping and dynamic adjustment are carried out on the power consumption distribution data by adopting finite element network nodes to obtain an initial heat distribution diagram; processing the initial thermal distribution diagram based on a thermal imaging technology to generate a temperature mapping diagram of the surface of the chip; performing network division based on the temperature mapping graph, and generating a heat transfer path graph in combination with a gradient tracking algorithm; based on the heat transfer path diagram, screening a potential area through a preset temperature threshold value, and generating a potential heat distribution diagram through clustering analysis; performing microstructure analysis on the abnormal area according to the potential thermal distribution diagram to generate an abnormal analysis report; and solving high-temperature region distribution according to the manufacturing process data and the anomaly analysis report, and performing region analysis to generate a thermal identification report. According to the method, the problem that the heat transfer path cannot be accurately captured and the hot spot area cannot be identified under the non-destructive test can be solved.

The invention belongs to the technical field of vehicle-mounted controller heat dissipation evaluation, and particularly discloses a vehicle-mounted controller salt fog environment heat dissipation evaluation method and system, and the method comprises the steps: initial heat distribution data collection, salt fog environment dynamic simulation, thermal performance evaluation parameter calculation and heat dissipation capability comprehensive evaluation. Through multi-source heat distribution data acquisition and gridding processing, the limitation of a single temperature measurement mode is overcome; establishing a multi-dimensional mapping model of the salt mist sedimentation rate, the airflow velocity and the thermal resistance increment value, and dynamically adjusting test conditions; the influence of salt spray corrosion on the heat dissipation performance is analyzed and quantified in combination with corrosion morphology, and key index weight configuration is optimized. According to the invention, the accuracy and dynamic adaptability of the evaluation result can be improved, and reliable support is provided for the heat dissipation performance test of the vehicle-mounted controller.

The invention provides a heat treatment process optimization method and system for a hardware workpiece, and relates to the technical field of data processing.The method comprises the steps that heat treatment request information of the hardware workpiece is obtained, initial heat treatment control parameters are obtained, then quality evaluation is conducted, a first control quality coefficient is obtained, and when a quality coefficient threshold value is not met, optimization is conducted; and performing heat treatment control on the heat treatment equipment according to the optimization result. The problems that in the prior art, heat treatment parameters cannot be adjusted according to components and needed performance of the hardware workpiece, treatment parameters not suitable for the current hardware workpiece cannot be recognized, and the heat treatment parameters cannot be adjusted in time can be solved, accurate control over heat treatment equipment is achieved, and therefore the quality and performance of the hardware workpiece are improved; the product quality is improved, the rejection rate is reduced, and the production efficiency is improved.

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.

The invention relates to the technical field of circuit data processing, and particularly discloses a high-integration hybrid integrated circuit thermal management method and system, and the method comprises the steps: obtaining integrated circuit structure data; performing data processing according to the integrated circuit structure to obtain a circuit structure heat dissipation demand index of each integrated area, and performing matching to obtain an initial heat dissipation strategy of each integrated area; according to working state data processing of the integrated circuit, working state heat dissipation demand indexes of all the integrated areas are obtained, and an initial heat dissipation strategy is triggered for heat dissipation; and performing comprehensive analysis to obtain a circuit heat dissipation effect evaluation value, and performing heat dissipation effect evaluation. According to the thermal management method and system for the high-integration hybrid integrated circuit, the potential heat dissipation problem can be found and solved in time, it is ensured that the circuit can stably operate under various working conditions, the optimal circuit layout, element packaging and heat dissipation strategies can be selected, and the service life of the circuit is prolonged. And furthermore, the product is ensured to have good heat dissipation performance in actual use, so that the product quality is improved.

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

The invention discloses a heat production prediction method and device of a solid-state battery and a nonvolatile storage medium. The method comprises the steps that a target electrochemical model and an initial heat transfer model corresponding to the solid-state battery are obtained, and the initial heat transfer model is a three-dimensional model; collecting battery cell heat production corresponding to the target electrochemical model; determining a target heat transfer model by taking the heat production quantity of the battery cell as a heat source of the initial heat transfer model; determining temperature data based on the target heat transfer model; and predicting the heat production condition of the solid-state battery based on the temperature data. According to the method, the technical problem that the real-time monitoring of the internal temperature distribution of the battery is difficult to realize due to certain limitation in the prediction of the heat production of the battery, such as experimental measurement and theoretical calculation at present is solved.

The invention relates to the technical field of electrical engineering, in particular to an online fault diagnosis method and system for a cable and accessories thereof, and the method comprises the steps: constructing a target function of an inversion model based on the distance from any unit in the inversion model to a measurement point of the cable and the accessories thereof; determining a sensitivity matrix of the inversion model based on the stiffness matrix corresponding to the temperature field of the cable and the accessory thereof; determining initial heat source distribution of the cable and accessories thereof based on the sensitivity matrix and the objective function; determining initial temperature distribution of the cable and accessories thereof based on the initial heat source distribution by adopting a forward modeling model; iteratively updating the initial heat source distribution based on a temperature difference value between the initial temperature distribution and the measured temperature distribution until target heat source distribution meeting a preset condition is obtained; and performing fault diagnosis on the cable and the accessories thereof based on the target heat source distribution and the forward model. According to the method, fault diagnosis of the cable and the accessories thereof can be accurately realized, and the accuracy of fault diagnosis of the cable and the accessories thereof is improved.

The invention relates to the technical field of copper rod production, in particular to an oxygen-free silver-containing copper rod heat treatment process parameter optimization method and system.The method comprises the steps that microstructure characteristics and copper rod characteristic parameters of an oxygen-free silver-containing copper rod to be subjected to heat treatment are obtained; the microstructure characteristics and the copper rod characteristic parameters serve as positioning conditions, matching positioning is conducted in a pre-constructed heat treatment process library, an initial heat treatment process parameter set is determined, and heat treatment is conducted on the oxygen-free silver-containing copper rod according to the initial heat treatment process parameter set; in the heat treatment process, a heat treatment characteristic parameter set of the oxygen-free silver-containing copper rod is collected in real time; and in response to the condition that at least one heat treatment feature in the heat treatment feature parameter set does not reach a preset target feature index within a preset time, calculating deviation values of all the heat treatment features which do not reach the standard, and converting the deviation values into heat treatment deviation vectors. The microstructure change of the material in the heat treatment process can be responded in real time, and dynamic adjustment of process parameters is achieved.

The present invention relates to the technical field of battery installation, and discloses a vehicle sodium ion battery with a protection structure, the vehicle sodium ion battery comprises a battery base, a sealing top plate for sealing the battery base is arranged above the battery base, and a plurality of installation grooves for installing a battery body are formed in the battery base. And a storage groove for placing the positioning assembly is formed between the adjacent mounting grooves. According to the scheme, the spray head arranged on the rotating shaft rod is used for spraying in a reciprocating manner, so that a mild cooling surface is formed on the contact surface of the battery body, and the contact surface of the battery body covered by the sprayed cooling liquid can take away initial heat more uniformly and gently due to relatively low flow speed of the sprayed cooling liquid; the surface temperature of the battery body is stably transited to a relatively low level, and then the battery body is subjected to water-cooling heat dissipation with higher fluidity, so that the risk of thermal shock caused by direct flowing water-cooling heat dissipation in the prior art is also greatly reduced.

The embodiment of the application provides a heat exchange quantity metering method and a controller, a heat exchange quantity metering system and a storage medium, and belongs to the technical field of heat exchange. The method comprises the following steps: obtaining the inlet flow of each inlet pipeline and the outlet flow of each outlet pipeline within a starting time to an ending time, and obtaining the inlet temperature at the starting time and the outlet temperature at the ending time; performing heat exchange quantity calculation according to the inlet flow, the inlet temperature, the outlet flow and the outlet temperature to obtain an initial heat exchange quantity; determining a refrigerant enthalpy value change amount according to the inlet temperature and the outlet temperature; determining a target error proportion according to the refrigerant enthalpy value change amount and the initial heat exchange quantity; if the target error proportion is greater than an error proportion threshold, increasing the ending time, and re-performing error calculation to obtain the target error proportion; if the target error proportion is less than or equal to the error proportion threshold, taking the initial heat exchange quantity as a target heat exchange quantity. The embodiment of the application can realize heat exchange quantity metering of a complex pipeline.

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 control method and device of a cooking utensil and the cooking utensil, the cooking utensil comprises a cooking main body, a cover body and a detection device, the cooking main body is provided with a cooking cavity with an opening in one end, and the cover body is arranged at the opening end of the cooking main body in an opening and closing mode; the control method of the cooking utensil comprises the steps that when the cooking utensil is in a heat preservation stage, whether a cover body is in a cover opening state or not is judged according to a detection signal of a detection device; when the cover body is in the uncovering state, the cooking utensil is controlled to reduce the heat preservation temperature within at least one time period of the heat preservation stage, the cooking utensil works at the temperature lower than the initial heat preservation temperature, the evaporation speed of water of rice becomes slow, and the problem that after the cover body of the electric cooker is uncovered in the heat preservation stage, the rice is prone to yellowing and drying is solved.

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 ceramic solar heat collector for a plateau area and a using method of the ceramic solar heat collector, and relates to the technical field of solar heat utilization. According to the ceramic solar heat collector for the plateau area and the using method of the ceramic solar heat collector, the ceramic solar heat collector comprises a ceramic base body, the ceramic base body is composed of, by mass, 30%-50% of vanadium extraction tailings, 45%-65% of kaolin and 3%-5% of silicate binder, the content of Fe2O3 in the vanadium extraction tailings is larger than or equal to 25%, the content of TiO2 in the vanadium extraction tailings is larger than or equal to 8%, and the vanadium extraction tailings are sintered at the temperature of 1200 DEG C-1300 DEG C to form a porous honeycomb structure; through the synergistic effect of material formula optimization, structure innovation and an intelligent control method, remarkable breakthrough is achieved in the aspects of weather resistance, heat efficiency and economical efficiency of the plateau solar heat collector. The ceramic matrix adopts a vanadium extraction tailing and kaolin composite formula, a porous honeycomb structure is formed through high-temperature sintering, the initial heat absorption rate reaches 96.3%, the absorption rate is only reduced by 0.8% after ultraviolet ray accelerated aging is carried out for 5000 hours, and compared with a traditional copper-aluminum coating (reduced by 13.7%), the coating has remarkable advantages.

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.

The present invention discloses a method, apparatus, electronic device and storage medium for generating a ship trajectory heat map. The method includes: obtaining AIS data of a target ship and converting the AIS data into a plurality of AIS point data; projecting the AIS point data within a preset unit time onto a preset two-dimensional pixel plane for color radiation to generate an initial heat map corresponding to each segment of the preset unit time; performing a progressive pixel weighted average method operation on the initial heat maps of each segment of the preset unit time to obtain a multi-level heat map for each time interval; obtaining a time range to be searched, and performing a pixel weighted average method operation on the target-level heat map corresponding to the time interval corresponding to the time span of the time range to obtain a target heat map corresponding to the time range. The present invention can efficiently and accurately generate a ship trajectory heat map and can be widely applied to the field of data processing technology.