121 results about "Initial heat" patented technology

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 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 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 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 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 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 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.

The invention belongs to the technical field of new energy, and discloses a filter press energy recycling system which comprises a filter press body, the filter press body comprises a plurality of filter plates and further comprises a waste heat recycling assembly for primary heat exchange of high-temperature materials, feed ports of the filter plates are communicated with a material conveying pipe penetrating through the interior of the preheating recycling assembly, and the feed ports of the filter plates are communicated with a waste heat recycling assembly. A medium-temperature circulating water outlet pipe is arranged on one side of the filter plate, a low-temperature circulating water inlet pipe is arranged on the other side of the filter plate, and the water inlet end of the low-temperature circulating water inlet pipe is communicated with a circulating pipe and a squeezing pipe. Through the synergistic effect of the three stages, on one hand, the temperature of the filter plate is successfully controlled, stable operation of the filter press is guaranteed, the service life of the filter plate and the whole machine is prolonged, and the equipment cost is reduced; and on the other hand, the advanced heat pump technology is adopted to recycle waste heat generated in each stage, and the originally wasted heat energy is converted into available energy, so that the energy is greatly saved, and the energy utilization efficiency is improved.

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 provides a chip heat dissipation method and device. The method comprises the following steps: acquiring surface temperature distribution and heat flux density distribution of a chip to position hot spot positions of the chip; a cooling medium is guided to flow through the chip, the micro-robot suspended in the cooling medium is placed under the action of a magnetic field, and the micro-robot is controlled to move to the position above the hot spot position in the cooling medium; determining the initial heat exchange efficiency of the micro-robot above the hot spot; and according to the initial heat exchange efficiency, the magnetic field control parameters are continuously adjusted until the current heat exchange efficiency meets the expected heat exchange efficiency, and targeted heat dissipation is conducted on the chip hot spots. According to the invention, the hot spot position of the chip can be accurately positioned by acquiring the surface temperature distribution and the heat flux density distribution of the chip; the magnetic field control parameters are used for controlling the micro-robot to move to the position above the hot spot, and dynamic tracking and heat dissipation of the hot spot are achieved; in addition, the magnetic field control parameters can be continuously adjusted according to the initial heat exchange efficiency, and the purpose of effective heat dissipation of chip hot spots is achieved.

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 belongs to the technical field of building material detection, and particularly relates to a building curtain wall material heat conductivity coefficient auxiliary analysis test method and system. The method comprises the steps of collecting temperature data in a heat conduction process, and identifying a stable fluctuation section based on a change trend of the temperature data to determine a heat conduction starting point and an effective section; based on the temperature data of the delay reference point before the heat conduction starting point and the temperature data in the effective section, an initial heat conduction coefficient is obtained through calculation; and judging whether the effective section meets a preset temperature stability condition or not, if not, determining a compensation correction according to the temperature deviation, and calculating according to the initial heat conductivity coefficient and the compensation correction to obtain a corrected heat conductivity coefficient. According to the method, by dynamically determining an effective section and introducing a temperature instability compensation correction mechanism, the accuracy, robustness and environmental adaptability of a test result are improved, and meanwhile, the consistency and repeatability of the result are ensured through automatic processing.

The application discloses a building material heat preservation performance evaluation method and system based on big data, relates to the technical field of building material performance evaluation, and comprises the following steps: acquiring building structure data of a building to be built and setting a preset ratio, constructing an initial heat preservation performance evaluation model, acquiring geographic position and regional historical environment data of the building to be built, and dividing the initial model to obtain an evaluation submodel, extracting building material data of the building to be built based on the structure data, collecting homogeneous building material data in combination with the geographic position and the historical environment data, acquiring a heat preservation performance influence factor according to the homogeneous data and the submodel, acquiring regional predicted environment data, simulating a service scene by fusing historical data, and evaluating the material heat preservation performance based on the submodel. The application has the advantages that through big data integration and fine modeling, the accurate evaluation of the building material heat preservation performance is realized, and reliable support is provided for building material selection and energy-saving design of the building to be built.

The utility model discloses a robot for coal mine safety monitoring. The robot comprises a vehicle body; the electric cabinet and the manipulator are mounted on the vehicle body; the end part of the manipulator is mounted on the mounting box, and the sensor is mounted on the manipulator through the mounting box; a heat dissipation fan, a cooling plate and a cooling fan are installed in the electric control box, and electronic elements are installed in the cooling plate. According to the utility model, the heat dissipation fan plays a role in primary heat dissipation, and the refrigeration sheet dissipates heat of an electrical component through the cooling plate; when a plurality of sensors are installed, heat dissipation of an electronic element needs to be increased, so that the refrigeration sheet can be used for refrigeration, and when a few sensors are installed, only the heat dissipation fan can be used for heat dissipation.

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.