621 results about "Heat transfer coefficient" patented technology

The invention relates to the technical field of reaction kettle temperature control, and discloses a fine chemical engineering reaction kettle temperature intelligent control method based on self-adaptive search, which comprises the following steps: S1, data acquisition: acquiring operation data of a reaction kettle, including temperature in the kettle, jacket inlet and outlet temperature, fluid flow and valve opening signals; s2, heat balance calculation: establishing a heat balance equation based on the collected data, and calculating reaction heat release and an equivalent heat transfer coefficient; s3, updating the model; s4, predictive control solution is carried out; s5, performing adaptive search; s6, carrying out security constraint; s7, stage identification; and S8, performing control execution. The reaction heat release amount and the equivalent heat transfer coefficient are calculated in real time through linkage of a heat balance calculation module and a model updating module, online parameter identification is achieved through a recursive least square algorithm, a heat model can be dynamically corrected along with working condition changes, it is ensured that a prediction model is consistent with the actual reaction process, and the prediction efficiency is improved. And the temperature prediction precision and the reliability of control response are obviously improved.

The invention provides a performance optimization and regulation method for a high-temperature sintering furnace, and belongs to the technical field of intelligent regulation, and the performance optimization and regulation method comprises the following steps: arranging sensors in each heating area of the high-temperature sintering furnace, and monitoring the heating areas in real time; constructing a heating area operation state database, comparing the collected real-time data with a preset sintering process parameter range, and analyzing to obtain a performance analysis set of each heating area; establishing a three-dimensional heat conduction model, simulating heat flow distribution of each heating area under different heating powers and temperature settings, determining a thermal coupling effect of each heating area in different stages, and determining a heat transfer coefficient between adjacent heating areas; and an initial strategy of the high-temperature sintering furnace is determined, the initial strategy is optimized based on the auxiliary parameters of all the heating areas, and all the heating areas of the high-temperature sintering furnace are regulated and controlled according to the optimization strategy. The problems of inaccurate temperature control, single parameter analysis, insufficient thermal coupling effect processing and the like in the traditional regulation and control technology are effectively solved.

The invention belongs to the technical field of building energy conservation, and provides a real-time inversion method and system for a heat transfer coefficient of a building envelope, and the method comprises the steps: obtaining surface parameters and environment parameters of the building envelope; based on the obtained parameters and the physical neural network model, taking the minimum joint loss function based on the physical mechanism as a target, and performing inversion to obtain the optimal heat conductivity coefficient of the building envelope; and calculating the heat transfer coefficient of the building envelope according to the obtained optimal heat conductivity coefficient of the building envelope, and completing real-time inversion of the heat transfer coefficient of the building envelope.

The invention relates to the technical field of ice and snow environment simulation, and discloses an ice and snow environment simulation test method based on multi-field coupling. The method comprises the following steps: collecting a dynamic multi-field data set in a target ice and snow environment, wherein the dynamic multi-field data set covers a periodic temperature change sequence, a relative humidity fluctuation sequence and surface ice layer thickness real-time monitoring data; carrying out multi-physics field coupling numerical simulation processing to generate coupling field distribution characteristics including an axial heat conduction coefficient gradient, a radial fluid velocity cumulant and a tangential ice layer stress fluctuation coefficient; calling a pre-configured ice and snow growth simulation model to execute ice layer evolution analysis to obtain an ice layer growth rate prediction value and a high-risk icing area position identifier; performing environment dynamic compensation correction on the ice layer growth rate prediction value by using the correlation characteristic of the relative humidity fluctuation sequence and the material heat capacity attribute; based on the high-risk icing area position identification, scientific guidance is provided for related protection in the ice and snow environment.

The invention provides a thermodynamic equilibrium simulation analysis method and system, and relates to the technical field of data processing, and the method comprises the steps: 1, building a steam thermodynamic equilibrium model based on the technological parameters of a thermodynamic network; 2, analyzing a thermal distribution state through a steam thermal equilibrium model, identifying an unbalance factor in a process chain, and establishing a four-vertex geometric topological relation among a heat exchanger inlet / outlet, a pressure reduction module and a drain valve process node according to the physical layout of a thermal network; and step 3, based on the dynamic proportion characteristic of the four-vertex geometric topological relation, calculating a thermal correction factor, and adjusting the heat transfer coefficient, the steam pressure and the condensate water temperature parameter of the steam thermal equilibrium model according to the thermal correction factor to obtain the corrected steam thermal equilibrium model parameter. According to the method, through dynamic correction of model parameters and simulation optimization, accurate identification and dynamic regulation and control of thermal unbalance are realized, a closed loop for optimized feedback is formed, and the operation efficiency and stability of a thermal system are improved.

The present application provides a dynamics analysis method for an ammonia combustion refrigeration system in large park cooling. The method comprises: on the basis of a geometric structure of an ammonia combustion chamber and a fuel supply amount, calculating the heat generated by ammonia combustion and analyzing the heat transfer mode between the combustion chamber and a desorption tower, the heat transfer mode comprising direct contact type heat transfer and partition type heat transfer, and simulating the heat transfer process to obtain and draw the heat flux distribution of the tower wall surface; on the basis of the flow state and a relationship curve between the pressure drop and the flow velocity, analyzing the desorption process of a refrigerant in a solution, and on the basis of the concentration of the solution, a boiling point of the refrigerant, and the vapor pressure, calculating local desorption rates at different positions in the desorption tower and the refrigerant vapor generation amount; and on the basis of the heat flux distribution, calculating the temperature distribution of the solution, and analyzing the heat transfer and mass transfer processes in the desorption tower to obtain a local heat transfer coefficient and the mass transfer efficiency distribution of the surface of a filler.

The invention discloses a control method for steam condensate waste heat recovery and waste water heating, a control device for steam condensate waste heat recovery and waste water heating, control equipment and a computer readable storage medium. The thermal load and the logarithmic average temperature difference are calculated based on the energy conservation principle, and the needed heat exchange area is calculated through a logarithmic average temperature difference method. A flow combination scheme of the plate heat exchanger is determined according to the heat exchange area and the flow parameters, a steam condensate side adopts a single flow, and a waste water side adopts asymmetric configuration of double flows or multiple flows so as to adapt to the flow difference of the two sides. In addition, a real-time monitoring mechanism is further established, when the total heat transfer coefficient is decreased by more than 10%, a cleaning program is automatically triggered, continuous and stable operation of the system is guaranteed, and efficient utilization of waste heat resources is achieved.

The invention discloses a large-space temperature distribution optimization method for an electronic clean workshop, and the method comprises the steps: determining the initial design parameters of a clean room, including the design temperature difference delta Tset of the clean room, the initial arrangement rate and wind speed of a fan filter unit, and the comprehensive heat transfer coefficient K of an enclosure structure; calculating outdoor heat transfer heat flow density q; dividing the upper interlayer space into a plurality of areas, and calculating the average temperature of each area of the upper interlayer; calculating the space temperature distribution of the clean room; the maximum temperature difference delta Tmax of the clean room is calculated, and the deviation ratio delta between the maximum temperature difference delta Tmax and the designed temperature difference is calculated; when delta Tmaxgt; delta Tset or delta gt; when a threshold value is set, the heat transfer resistance of the enclosure structure, the average arrangement rate of fan filter units and the air speed are adjusted; and outputting the adjusted heat transfer resistance of the enclosure structure of the clean room, the average arrangement rate and wind speed of the fan filter units and the arrangement rate of the fan filter units in the partial area of the clean room. According to the method, the temperature distribution of the large-space clean room can be quickly calculated, and the temperature distribution of the large-space clean room can be accurately controlled.

The invention discloses a synchronous reluctance motor magnetothermal coupling rapid calculation method based on a dynamic thermal network, and belongs to the technical field of motors. Comprising the following steps: calculating motor loss by adopting a finite element electromagnetic field model, and calculating a convective heat transfer coefficient by adopting a finite element fluid field model; constructing a three-dimensional thermal network comprising conduction, contact, convection thermal resistance, thermal capacity and a heat source, and solving to obtain an average temperature and a boundary temperature of component nodes; constructing a sub-domain temperature field calculation model of the heat source component, and calculating temperature distribution in combination with boundary conditions; introducing average temperature compensation thermal resistance and carrying out dynamic correction; carrying out magnetothermal coupling iteration, and updating the loss and the temperature until the precision is met; and introducing maximum temperature compensation thermal resistance into the thermal network, and solving to obtain an average temperature and a maximum temperature transient temperature rise curve of each component. Based on the technical means of combining electromagnetic field and fluid field finite element simulation with thermal network and subdomain temperature field calculation, efficient calculation of magnetothermal coupling of the synchronous reluctance motor is achieved.

A probe card MLO pad point position contraction design simulation method is characterized by comprising the following steps that 1, a temperature field simulation model is established, and a temperature simulation result file is obtained and comprises the steps that 1.1, temperature data are actually measured; step 1.2, establishing a temperature field simulation model by adopting a finite element analysis method, modeling an air fluid part in the cavity into a solid air medium by using a steady-state thermal analysis module, and endowing the solid air with a heat transfer coefficient; calibrating heat transfer coefficients in the temperature field simulation model: a heat transfer coefficient A, a heat transfer coefficient B and a heat transfer coefficient C; 1.3, correcting and iterating the heat transfer coefficient A, the heat transfer coefficient B and the heat transfer coefficient C; 1.4, obtaining a temperature field simulation result file of the probe card at the specified high-temperature loading temperature; 2, establishing a physical field simulation model, and obtaining a simulation pad displacement result; and step 3, calculating to obtain a new pad point position coordinate for iterative production.

The invention provides an existing building BEM modeling method, system and device based on an infrared thermal image of an unmanned aerial vehicle and a medium, and belongs to the technical field of building modeling. Generating a three-dimensional geometric model of the building main body; screening out an external window candidate area by analyzing RGB value characteristics of the visible light point cloud, generating a window opening three-dimensional boundary, and determining an internal surface temperature and an indoor air temperature through internal surface infrared temperature measurement and area weighted integration; and based on the temperature data and the building envelope construction parameters, inverting heat transfer coefficients of the outer wall, the roof and the outer window, and finally constructing a building energy consumption model in combination with the weighted average K value. According to the method, precise operation from building geometric model construction to thermal parameter acquisition and then building energy consumption model construction is realized. The efficiency and precision of BEM modeling of the existing building are improved, and a scientific basis is provided for building energy-saving transformation, energy consumption evaluation and the like.

The invention belongs to the technical field of lithium ion battery thermal management, and particularly discloses a pump-free self-driven immersed battery thermal management system and a control method, which realize high-speed jet flow of a cooling liquid and rapid reduction of the surface temperature of a battery through the height difference between a condensation cavity and a battery cavity by a jet flow impact technology. A thermal boundary layer is broken through the cavitation effect, the heat transfer coefficient is remarkably increased, and the transient heat dissipation requirement of high-rate charging and discharging is met. The condensation cavity cooperates with the intelligent control module to ensure uniform temperature distribution of the battery pack. Based on real-time regulation and control of sensor feedback, system response time is shortened, and temperature lag is avoided. The separation design of the battery cavity and the condensation cavity simplifies the traditional same-cavity structure, reduces the circulation resistance of the working medium, and guarantees the long-term stable operation of the system. Phase change heat absorption, intelligent control, potential energy driving and ultrasonic enhancement are fused, the energy efficiency limitation that traditional liquid cooling depends on external pump work is broken through, system power consumption is reduced, module temperature difference is effectively controlled, and thermal runaway response time is shortened.

The invention discloses an ultra-high voltage reactor shell convective heat transfer coefficient iterative calculation method and device, and the method comprises the steps: building a control equation of a temperature fluid field of an ultra-high voltage reactor, and building a function expression for obtaining a comprehensive convective heat transfer coefficient; the comprehensive convective heat transfer coefficient comprises a convective heat transfer coefficient under a natural convection condition and an equivalent radiation heat transfer coefficient, the comprehensive convective heat transfer coefficient is corrected step by step through multiple iterations based on a control equation of a temperature fluid field until the comprehensive convective heat transfer coefficient converges, the temperature difference between the wall surface and the external fluid is obtained, and the temperature difference between the wall surface and the external fluid is obtained. And taking the converged comprehensive convective heat transfer coefficient as a final convective heat transfer coefficient. According to the method, the equivalent radiation convective heat transfer coefficient is provided, the comprehensive convective heat transfer coefficient is obtained by combining the convective heat transfer coefficient under the natural convective heat transfer condition, and the accurate temperature difference between the wall surface and the external fluid is obtained through multiple times of iterative calculation.

The invention discloses a fan coil abnormal state diagnosis method and system, and the method comprises the steps: obtaining a fan current waveform and a coil vibration signal, and building a heat exchange efficiency reference based on a motor load change characteristic and a heat exchange tube vibration mode; identifying an efficiency sudden drop area, positioning a heat exchange dead zone expansion range, generating heat transfer coefficient jump data, and determining a heat exchange abnormal position table; obtaining temperature difference of supply water and return water and opening change of a water valve, and forming waterway unbalance characteristics through coupling analysis of water flow pulse characteristics and flow state conversion points; identifying an airflow field offset based on the heat exchange abnormal position table and the waterway imbalance feature, determining a diagnosis focusing area and generating a layered detection sequence; carrying out active and passive damage classification, extracting a damage development rate, and generating a damage superposition coefficient; and a fault coupling amplification area is identified, damage synergistic effect data is generated through chain propagation analysis, comprehensive diagnosis of the abnormal state of the fan coil is completed, and accurate identification of multiple abnormalities and accurate positioning of fault root causes are realized.

The invention provides an energy-saving equipment data management method and system based on a block chain. A temperature sensor and an ultrasonic detection device are arranged, building wall surface heat radiation distribution, internal heat transfer coefficient change data and a pipeline three-dimensional heat loss positioning map are collected respectively, and a dynamic thermal performance data set is constructed in combination with the block chain technology. And performing spatial overlay analysis on the heat conduction path of the wall and the heat loss point of the pipeline, and identifying spatial correlation characteristics of the two. And meanwhile, based on an encrypted energy efficiency fluctuation event record uploaded by a block chain node, dynamic collaborative optimization of a thermal buffer compensation value, a pipeline correction coefficient and an energy efficiency compensation weight is realized through timestamp matching, and finally an intelligent instruction set is generated to regulate and control energy-saving equipment in a building in real time. According to the technical scheme, the comprehensive energy efficiency of the building energy-saving equipment is remarkably improved.

The invention discloses a device and a method for simulating heat exchange and friction resistance measurement of an aviation high-speed motor under different working conditions, and relates to the field of heat management of high-speed rotating equipment. An additional heating sheet is attached to the outer surface of the inner rotor, and different surface structures are detachably assembled on the outer rotor to form a stator and rotor slit flow channel boundary; cooling liquid forms one-inlet and one-outlet forced convection through the radial through hole of the end cover. The rotating speed larger than or equal to 20,000 rpm, runner pressure drop and temperature data are synchronously collected through an axle load type sensor, and the heat exchange coefficient, the flow resistance coefficient and the friction resistance coefficient are calculated in real time based on energy conservation, a Darcy formula and a torque empirical formula. A real rotor surface structure is reproduced under the condition of high-speed rotation, working medium leakage is restrained through mechanical sealing, and runner blockage caused by centrifugal deformation of the surface structure is prevented through the outer rotor designed in an integrally-formed mode; the obtained convective heat transfer-resistance coefficient-friction resistance coefficient all-parameter curved surface database can guide optimization of the cooling flow channel of the aviation motor.

The invention relates to the field of single-crystal high-temperature alloy directional solidification casting defect prediction, in particular to a single-crystal blade freckle defect prediction method based on a large-module casting technology, which comprises the following specific steps of: establishing a 1 / 8 model of a large-module casting system by using modeling software; thermophysical parameters of the single-crystal high-temperature alloy are calculated, and the heat exchange coefficient among the casting, the mold shell and the water cooling disc in the numerical simulation process is determined in combination with related literatures; carrying out directional solidification numerical simulation, analyzing the change of the morphology of the pasty area in the solidification process, and counting the inclination angle of the pasty area of each part of the casting; establishing a Rayleigh number prediction formula, and comparing and analyzing a freckle high inclination area of a simulation result and a freckle occurrence position of an experiment result; and improving a Rayleigh number prediction formula by combining the inclination angle of the pasty area and the transverse temperature gradient value to obtain a Rayleigh number prediction result with more accurate prediction. According to the method, the position and tendency of freckles possibly appearing on the casting are predicted in advance by means of numerical simulation, and the freckle defect is avoided.

The invention relates to the technical field of farm house construction, in particular to a farm house construction method based on combined prefabricated wallboards, which comprises the following steps: pre-burying bolts in foundation concrete of an assembly site according to a farm house prediction model, and sequentially mounting steel columns, steel beams and floor support steel to form a steel structure frame; pre-splicing is carried out; a wallboard edge abrasion model is determined, and the splicing hot air temperature is adjusted; determining a wallboard structure stability processing mode according to the stress distribution diagram, wherein the wallboard structure stability processing mode comprises the step of adjusting the dislocation angle of sawteeth at the edge of the wallboard when the wallboard is spliced, or determining the splicing gap width of rock wool in the wallboard according to the maximum heat transfer coefficient; the steel structure frame and the wall plate structure are spliced according to the splicing hot air temperature and the wall plate structure stability treatment mode to form the farm house outer maintenance structure; and the built-in structure is installed on the farm house outer maintenance structure to form the combined farm house. The structure stability and the heat preservation performance of the farm house are improved.

The invention discloses a building wall heating control method and system based on thermal load calculation, relates to the technical field of heating control, and solves the problems that the energy utilization efficiency is not high and the energy consumption is low due to the fact that precise adjustment is not fully carried out based on deep combination of the actual thermal load requirement of a room and the characteristics of a radiator. In order to solve the technical problems that when a to-be-adjusted heat load is calculated, dynamic factors such as solar radiation and wind speed are fully considered for correction of the total heat load, so that heat load calculation is more suitable for the actual situation, more accurate heat demand reference is provided for a heating system, and the indoor comfort degree is affected by heat supply insufficiency. Based on the heat dissipation characteristics of the radiator, the to-be-adjusted heat load and the current working condition heat load are compared, the water supply temperature is calculated and adjusted by combining the heat transfer coefficient, the heat dissipation area and other parameters of the radiator, the water supply temperature can be accurately adjusted according to the actual heat load requirement of a room, the energy utilization efficiency is improved, and energy consumption is reduced.

The invention relates to the technical field of material mechanical property testing, and provides an ultralow-temperature slow strain mechanical tensile test platform which comprises a vacuum Dewar unit, a liquid helium temperature control unit, a slow strain tensile unit, a measuring unit and a control unit, the vacuum Dewar unit comprises a vacuum Dewar body and is used for providing a closed low-temperature test environment; the liquid helium temperature control unit comprises a direct injection module and a recovery module, the direct injection module is used for directly injecting liquid helium to the gauge length section of the sample for cooling, and the recovery module is used for recovering and recycling unevaporated liquid helium; the slow strain stretching unit is used for stretching a sample arranged in the vacuum Dewar body at a low strain rate; the measuring unit is arranged in the vacuum Dewar body and is used for monitoring the temperature, the force value and the strain data of the sample in real time. Liquid helium is used as a cold source, the liquid helium is directly aligned to the gauge length section of the sample through the direct injection module, and compared with a traditional liquid helium steam natural convection heat exchange mode, the heat exchange coefficient is increased, and automatic precise temperature control is achieved.

The embodiment of the invention provides a method for obtaining thermal resistance, obtaining temperature and determining a radiator design scheme and a medium, and relates to the technical field of heat dissipation. The method for obtaining the heat resistance of the radiator comprises the steps of obtaining heat dissipation design parameters of the radiator; wherein the heat dissipation design parameters comprise parameters used for representing a substrate structure and a fin structure of the radiator; according to the heat dissipation design parameters, determining a first area of the radiator in contact with a heat dissipation medium, and an effective radiation coefficient and a radiation heat transfer coefficient of the radiator; wherein the effective radiation coefficient represents a correction coefficient of the plane, in contact with the radiating medium, of the radiator to the external radiation heat exchange amount, and the radiation heat exchange coefficient represents the radiation heat exchange amount under the unit temperature difference on the unit area of the radiator; according to the first area, the effective radiation coefficient and the radiation heat transfer coefficient, the radiation heat transfer thermal resistance of the radiator is calculated; and determining the heat resistance of the radiator according to the radiation heat exchange heat resistance.

The invention discloses a heat exchange system which comprises a plurality of heat exchange plates and first turbulent flow structures, the heat exchange plates are arranged in a stacked mode in the first direction, a plurality of heat exchange flow channels are formed between every two adjacent heat exchange plates, the first turbulent flow structures are arranged on the surfaces of the heat exchange plates, each first turbulent flow structure comprises a plurality of first protrusions and a plurality of first pits, and the first protrusions are arranged on the surfaces of the heat exchange plates. The multiple first protrusions and the multiple first recesses are distributed on the surface of the heat exchange plate at intervals to form multiple turbulent flow rows, and each turbulent flow row comprises the multiple first protrusions and / or the multiple first recesses. Compared with a flat plate structure, the first turbulent flow structure has the effects of increasing the local heat exchange area and enhancing the local heat exchange coefficient, and compared with a corrugated structure, the first turbulent flow structure has the characteristics that the resistance coefficient is small, and secondary flow perpendicular to the main flow direction is easily induced; and the heat exchange performance of the heat exchange system is improved.

The invention relates to the technical field of thermal power generation, in particular to a direct air cooling condenser fouling thermal resistance estimation method combined with a scaling mechanism, and aims to realize stable and accurate real-time estimation of the fouling thermal resistance of a condenser. The method includes the steps that operation parameters of the direct air cooling unit are collected and preprocessed to form a continuous time sequence; calculating multiple groups of cleaning total heat transfer coefficients based on the cleaning period operation parameters, training a machine learning model based on the cleaning total heat transfer coefficients, and establishing a cleaning heat transfer coefficient reference model; calculating an actual total heat transfer coefficient based on the current operation parameters, inputting the reference model to obtain a corresponding cleaning coefficient, and calculating initial fouling thermal resistance according to the cleaning coefficient; and establishing a discrete linear recursion physical filtering model based on a dirt deposition-denudation mechanism, identifying model parameters on line by taking the initial dirt thermal resistance as an observed quantity, performing physical constraint filtering on the model parameters, and outputting a final dirt thermal resistance online estimated value.

The utility model relates to the technical field of distillation towers, and discloses a distillation tower of a novel multi-effect water distiller, which comprises a tower body consisting of an upper evaporator and a lower separator. The upper evaporator comprises an upper shell, a raw material water inlet formed in the top of the upper shell, tube plates installed on the upper side and the lower side in the upper shell, a plurality of heat exchange tubes vertically installed on the two tube plates, a steam inlet and a non-condensable gas outlet, wherein the steam inlet and the non-condensable gas outlet are formed in the two sides of the upper shell respectively. And the lower separator is communicated with the bottom of the upper evaporator. Through the arrangement of the plurality of heat exchange tubes, raw material water enters the upper shell through the raw material water inlet and then exchanges heat with steam, so that rapid falling film evaporation is realized along the walls of the heat exchange tubes, non-condensable gas generated by the shell pass of the distillation tower is gradually accumulated to the top of the shell pass of the distillation tower and is discharged through the non-condensable gas outlet, and the non-condensable gas is continuously discharged, so that the non-condensable gas is continuously discharged. The heat exchange coefficient is improved to the maximum extent, and the heat exchange efficiency of the evaporator is greatly improved.

The utility model relates to a horizontal tubular air preheater with turbolators, which is characterized in that a first-stage air preheater and a second-stage air preheater are arranged in a frame, a plurality of turbolator heat exchange tubes are respectively arranged in the first-stage air preheater and the second-stage air preheater, flue gas sequentially and transversely scours the second-stage air preheater and the first-stage air preheater, and the turbolator heat exchange tubes are arranged in the first-stage air preheater and the second-stage air preheater. Flue gas and air flow in the countercurrent direction, the flue gas exchanges heat with the air in the turbolator heat exchange tubes, and a plurality of rows of guide plates are obliquely arranged at the top and the bottom of the frame respectively to prevent the flue gas from forming flue gas corridors on the upper side and the lower side. The turbulent flow is increased, so that the thickness of a retention bottom of main heat resistance of convective heat transfer is reduced, heat transfer is enhanced, and the heat transfer coefficient K is increased by 50% compared with that of a common tubular preheater.

The invention discloses a thermal error modeling method and system for a feeding system of a hybrid-driven numerical control machine tool, and the method comprises the steps: obtaining the temperature data of a lead screw feeding system under a simple working condition, identifying the heat source intensity and heat exchange coefficient of the lead screw feeding system under different working conditions, and achieving the parameter identification under the simple working condition; temperature and thermal error data of the lead screw feeding system under the complex working condition are collected, and temperature data of unmeasurable points of the lead screw under the corresponding complex working condition are calculated according to the parameter identification result under the simple working condition; establishing a mechanism and data hybrid driven numerical control machine tool feeding system thermal error model; and inputting the theoretical temperature data and the actually acquired temperature data of the unmeasurable points of the lead screw feeding system under the complex working condition into the constructed numerical control machine tool feeding system thermal error model, and outputting an error value. According to the method, the thermal error of the lead screw feeding system under the complex working condition is effectively predicted, the number of sensors is greatly reduced, the cost and wiring complexity are reduced, and the robustness and economical efficiency of the thermal error system of the lead screw feeding system are greatly improved.

The invention discloses a thermochromic shutter system and a control method thereof. Comprising outer side glass and inner side glass which are supported by a frame; a shutter array is arranged between the outer side glass and the inner side glass, and the shutter array is connected with the control device; the shutter array is formed by sequentially arranging a plurality of thermochromic plates at intervals; according to the thermochromic shutter system, the optimal inclination angle of the shutter can be judged according to indoor and outdoor temperature conditions, and the magnetic attraction sliding block is pushed through the push rod motor to adjust the shutter to the optimal angle position. Meanwhile, the magnetic attraction sliding block can be manually adjusted, and the inclination angle of the thermochromic shutter can be adjusted within the range from the horizontal direction to the vertical direction according to the preference of a user. Dynamic adjustment of the solar radiation transmittance of the glass system is realized ingeniously through the temperature response characteristic of the optical state of the shutter; and the heat transfer coefficient of the glass system can be regulated and controlled according to needs by combining with shutter inclination angle control.

The invention discloses a boiler blow-down water waste heat recovery control method, system and equipment and a medium. The method comprises the following steps that the current waste heat recovery efficiency eta of a waste heat recovery system is obtained; the current scaling coefficient R of a heat exchanger in the waste heat recovery system is obtained; according to the current waste heat recovery efficiency eta and the current scaling coefficient R, the heat transfer coefficient K of the heat exchanger is obtained; the current temperature T and the water quality concentration ratio C of the boiler are obtained; and inputting the heat transfer coefficient K, the current temperature T and the water quality concentration ratio C into a preset discharge capacity optimization model to obtain the optimal discharge capacity Q. The method has the advantages that the discharge capacity can be adaptively adjusted, and the boiler safety and waste heat recovery requirements can be balanced.

The invention provides a concrete structure construction period temperature deformation cracking risk prediction method comprising the following steps: S1, temperature monitoring: after concrete structure pouring is completed, continuously monitoring a concrete internal and surface temperature development curve; s2, inverting thermal parameters, namely inverting an equivalent adiabatic temperature rise curve and an equivalent thermal diffusivity of concrete under a field condition and a convective heat transfer coefficient of the concrete under a template in-place condition by combining a monitoring temperature, an environment temperature and a heat preservation condition and utilizing a heat conduction equation inverse analysis method; s3, prediction in the form removal period and the later period: inputting the thermal parameters obtained by inversion into finite element software, performing temperature field prediction, switching a boundary condition to be a heat exchange coefficient after form removal, and simulating subsequent temperature evolution; s4, risk index calculation and grading: calculating a risk index, and quantifying or grading the cracking risk according to a set threshold value; s5, performing construction decision linkage; according to the method, the thermal parameters of the concrete can be quickly inverted by utilizing early field measured temperature data.

The invention relates to the technical field of heaters, and discloses a heat preservation state detection method and system for a heating body heat preservation material and a storage medium, and the method comprises the steps: obtaining first temperature data T1 in a hot liner and second temperature data T2 of the surrounding environment of the hot liner in real time; establishing a temperature loss model: dT / dt =-K * (T1-T2); wherein K is a comprehensive heat conduction coefficient and is used for representing the thermal insulation efficiency of the thermal insulation material; performing integral transformation on the temperature loss model to obtain T (t) = T2 + (T1-T2) * e-K * t; when T1 is reduced from Ta to Tb, time is t1, and K is equal to (1 / t1) * In ((Ta-T2) / (Tb-T2)); wherein T1 > = Ta > = Tb > = T2; the K is compared with a preset warning threshold value Kx, and if the K is larger than or equal to the Kx, a heat preservation layer replacement early warning is given out. The method can improve the accuracy of thermal insulation performance evaluation of the heating body thermal insulation material.