242 results about "Initial heat" patented technology

The invention relates to a thermal management control method and system for an energy storage power supply, and the method comprises the steps: obtaining the real-time temperature data of the energy storage power supply, and carrying out the heat source distribution analysis, and obtaining the corresponding temperature distribution information; heat dissipation operation parameters of the energy storage power supply are obtained, adjustment analysis is carried out in combination with the temperature distribution information, and a corresponding initial heat dissipation control strategy is obtained; acquiring real-time monitoring data of the energy storage power supply, and performing charge and discharge dynamic analysis in combination with the temperature distribution information and the initial heat dissipation control strategy to obtain corresponding charge and discharge adjustment information; based on the real-time temperature data and the thermal management strategy, hot spot identification is carried out, corresponding potential hot spot information is obtained, early warning processing is carried out, and a corresponding hot spot early warning result is obtained; and performing comprehensive control analysis on the thermal management strategy, the initial heat dissipation control strategy and the hot spot early warning result to obtain a corresponding global thermal management control scheme. According to the invention, comprehensive and intelligent control of thermal management of the energy storage power supply can be realized.

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 discloses an urban heat island intensity and footprint measurement method and system, a terminal and a medium. The method comprises the following steps: estimating an initial urban heat island intensity value based on an initial reference temperature value, drawing an initial heat island intensity curve changing along urban and rural gradient, and identifying an urban cold and heat island effect; for the city with the heat island effect, error correction is carried out on the city heat island intensity value based on the ground temperature value of the critical circle or the initial heat island intensity value; estimating an urban heat island influence range of each urban built-up area patch, and identifying an area in which the urban heat island intensity value is greater than zero as an urban heat island footprint; and calculating the statistical index of the urban heat island based on the corrected urban heat island intensity value and the urban heat island footprint. According to the method, the generality and personality differences of different city temperature curves are considered, and objective unbiased estimation of the SUHI intensity and range under different geographical backgrounds is realized.

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 relates to the technical field of laser radars, and discloses a laser radar intelligent temperature control heat dissipation system which comprises a laser radar body, a heat dissipation module and a control module. The control module is connected with the heat dissipation module; the acquisition unit is configured to determine basic heat dissipation parameters of the heat dissipation module based on the analysis result; the first judgment unit is configured to judge whether the basic heat dissipation parameters are optimized or not according to the historical operation deviation index; the optimization unit is configured to determine an optimization coefficient of the basic heat dissipation parameter according to the historical operation deviation index and obtain an initial heat dissipation parameter; the second judgment unit is configured to judge whether the initial heat dissipation parameters are adjusted or not according to the temperature data set; and the adjusting unit is configured to determine an adjusting coefficient according to the comparison result and adjust the initial heat dissipation parameter to obtain a final heat dissipation parameter. The working efficiency and stability of the laser radar are improved.

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 relates to the field of self-adaptive control systems, and provides a PID-based refrigerator frequency converter optimization control method and system, and the method comprises the steps: collecting the temperature data of each position of different parts in a refrigeration system and the pressure data of each part, and obtaining the environment temperature data; obtaining a plurality of cycles of each position; the initial heat accumulation factor of each circulation of the exhaust pipe position of each part is obtained; temperature lag factors of all the parts are obtained, and circulation heat accumulation factors of the positions of exhaust pipes of all the parts are obtained through adjustment; temperature transfer factors between different parts are obtained, and heat accumulation deviations of the exhaust pipe positions of all the parts are obtained in combination with the initial heat accumulation factors and the circulating heat accumulation factors; the final heat accumulation degree of each part in each circulation is obtained; and according to the final heat accumulation degree of each cycle of each part, PID control parameters are adjusted, and optimal control over the refrigerator frequency converter is achieved. The invention aims to solve the problem that residual heat in a system affects regulation and control of the frequency converter in the circulating process of the refrigerator frequency converter.

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 relates to a projector heat dissipation and noise reduction method and device, equipment and a storage medium, and the method comprises the steps: obtaining the internal structure data and environment temperature information of a projector, and carrying out the thermal simulation analysis, and obtaining a corresponding thermal distribution diagram; acquiring real-time temperature data of the projector, and performing heat dissipation demand calculation on the real-time temperature data and the heat distribution diagram to obtain a corresponding real-time heat dissipation demand; acquiring light source output data and processor performance data of the projector, and predicting a real-time heat dissipation demand to obtain a corresponding heat dissipation trend; performing heat dissipation planning analysis on the real-time heat dissipation demand and the heat dissipation trend to obtain a corresponding initial heat dissipation control scheme; performing high-temperature identification on the real-time temperature data through a preset nonlinear dynamic model, and performing adjustment in combination with a heat dissipation trend to obtain a corresponding performance adjustment strategy; and analyzing the initial heat dissipation control scheme and the performance adjustment strategy to obtain a corresponding global heat dissipation noise reduction strategy. According to the invention, intelligence and refinement of heat dissipation control of the projector can be realized.

The invention provides a simulation method, device and equipment of a solar ground source heat pump system and a medium. The method comprises the steps that based on design parameters of a shallow soil source and a ground source heat pump unit, simulation calculation is conducted on a ground source heat pump system within a preset time period, and the initial heat taking amount of the shallow soil source within the preset time period is obtained; based on design parameters and meteorological parameters of a shallow soil source and a ground source heat pump unit, design parameters of a solar heat collector, design parameters of a heat storage water tank and design parameters of a heat exchanger, a ground source heat pump system and a solar system are subjected to simulation calculation, and the heat transfer amount transmitted to the shallow soil source by the solar heat collector is obtained; and optimizing the initial heat extraction amount to obtain a target heat extraction amount. Renewable energy sources such as solar energy can be fully utilized, dependence on traditional energy sources is reduced, the operation cost is reduced, the overall energy efficiency of the solar ground source heat pump system is remarkably improved, and efficient operation of the solar ground source heat pump system is achieved.

The present invention belongs to the technical field of production control of heat treatment of thin shift forks, and relates to an intelligent heat treatment production line for thin shift forks and a control method thereof. The control method is characterized in that the material parameters of the workpiece are obtained; the corresponding heat treatment parameters are obtained from a heat treatment sample database; a heat treatment control database is constructed; initial heat treatment control parameters are obtained; a heat treatment parameter control model is constructed according to the material parameters of the workpiece, the corresponding heat treatment parameters and the heat treatment control database; and the real-time deformation parameters of the workpiece are obtained during the heat treatment process to form a real-time deformation parameter set. The beneficial effects of the present invention are: providing real-time deformation parameters, real-time monitoring of the deformation state of the thin shift fork, and real-time correction based on the deformation correction data, providing accurate data and effective improvement measures for fully improving the deformation of the thin shift fork during heat treatment.

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 discloses an edge calculation control method and system based on building heat supply energy-saving regulation and control, and relates to the technical field of building heat supply, and the method comprises the following steps: when a heat supply system starts to operate, firstly setting an initial heat load demand prediction frequency for establishing a basic prediction mechanism; the method comprises the following steps: deploying edge nodes in each key area in a building for collecting temperature data of each edge node in real time; a fixed monitoring time window is set, and key feature extraction is carried out on temperature data collected in the monitoring time window. According to the method, temperature data are collected through edge nodes, features are extracted in a monitoring time window, a deep learning model is called, the heat supply state is divided into a stable type and a frequent fluctuation type, the prediction frequency is dynamically improved in the fluctuation type, heat supply parameters are optimized, it is ensured that the room temperature is stable, the heat supply response speed and efficiency are improved, and energy waste is reduced; start-stop frequency and abrasion of equipment are reduced, and service life of the equipment is prolonged.

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 invention provides an overtemperature detection method, device and equipment for a reaction container and a storage medium, and belongs to the technical field of chemical safety, and the method comprises the steps: obtaining the temperature-time relation, the temperature rise rate-temperature relation and the initial heat release temperature of a material when the material is subjected to an adiabatic test; carrying out correction treatment to obtain a real temperature rise rate change curve along with time under the heat insulation condition of the material; determining a heat release rate corresponding to the abnormal working condition initial temperature material; determining a heat transfer rate corresponding to the abnormal working condition initial temperature material; determining the temperature rise of the material in the retention time of the abnormal working condition, and determining the final temperature of the reaction container according to the temperature rise of the material in the retention time of the abnormal working condition; and when the final temperature of the reaction container is detected to be higher than the pre-stored design temperature, generating a first overtemperature detection result indicating that the reaction container has an overtemperature hidden danger. According to the invention, the preciseness of the detection process and the expected production process can be considered under severe working conditions, and the first overtemperature detection result is obtained.

The invention provides an energy storage battery cabin thermal runaway adjusting method and device, and the method comprises the steps: obtaining an initial heat distribution parameter of an energy storage battery cabin according to an operation environment; obtaining a first heat distribution parameter for real-time data processing based on interference suppression on the initial heat distribution parameter; according to stored historical data, trend prediction is carried out on the first heat distribution parameters, a thermal runaway risk assessment result of the energy storage battery cabin is obtained, and feedback adjustment is carried out on the operation environment of the energy storage battery cabin based on the thermal runaway risk assessment result. Through carrying out trend prediction on the first heat distribution parameter, the accuracy of thermal runaway monitoring of the energy storage battery cabin is greatly improved; according to the thermal runaway risk assessment result, feedback adjustment is carried out on the operation environment of the energy storage battery cabin, it is ensured that the energy storage battery cabin can operate within the safe temperature range, then the operation stability of the energy storage battery cabin is improved to the maximum extent, and therefore the thermal runaway adjustment method and device for the energy storage battery cabin have wide applicability.

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.