2665 results about "Thermal resistance" patented technology

The invention relates to the technical field of power system state monitoring, in particular to an intelligent fault detection method and system for a power distribution cabinet, and the method comprises the steps: setting a to-be-detected point and a reference point in the power distribution cabinet, and enabling the load current of the to-be-detected point and the instantaneous thermal resistance ratio to form a characteristic tuple at the current moment; obtaining an actual joint probability density value and a theoretical joint probability density value of the feature tuple at the current moment through two-dimensional joint probability density estimation based on space-time self-adaption; and determining an abnormal score of the feature tuple at the current moment through abnormal analysis, and determining a fault risk index at the current moment according to a relative deviation between the instantaneous thermal resistance ratio of the to-be-detected point at the current moment and the theoretical instantaneous thermal resistance ratio and the abnormal score, and according to the continuous change trend of the fault risk index, calculating an early warning index to determine whether the power distribution cabinet has a fault. The method improves the fault detection accuracy of the power distribution cabinet.

The invention relates to a thermal coupling over-reduced order prediction method and system for a multi-component assembled nonlinear system. The method comprises the following steps: collecting multi-scale physical field data; constructing an intrinsic orthogonal decomposition basis function space of a temperature field and a stress field, and establishing a double-field coupling constraint equation; constructing contact thermal resistance parameterized proxy models of a cylinder contact area, a bolt area and a free deformation area by adopting a domain discrete empirical interpolation method; constructing a parametric intrinsic mode tensor network to obtain a decline model which is used for realizing real-time reconstruction of a mode basis function through acquired tensor slices in an online stage; performing dynamic inversion based on a modal basis function reconstruction result, and outputting a predicted transient displacement field, a predicted temperature gradient field and a predicted contact stress field; and obtaining real-time parameters, and calculating a residual error with a corresponding prediction result so as to dynamically update the primary function and interpolation point distribution. Compared with the prior art, the real-time prediction of the transient thermal coupling of the multi-component contact system is realized on the premise of ensuring the precision.

The invention discloses an airport ground air conditioning unit multi-system energy-saving control method and system, and the method comprises the steps: collecting refrigerant flow data, temperature monitoring data and load demand data of an airport air conditioning system, recognizing a phase change boundary, extracting a gas-liquid conversion point, and carrying out enthalpy value coupling in combination with superheat degree distribution to generate a phase change energy field; identifying heat transfer bottleneck points based on the phase change energy field, generating an equivalent thermal resistance network, and extracting heat capacity characteristic parameters to construct a thermal response path diagram; refrigerant shunting analysis is carried out to extract primary and secondary loops, and an optimal distribution point is identified to generate a load balance matrix; reconstructing a compressor adjusting curve, and identifying a high-efficiency operation interval to generate a frequency conversion adjusting sequence; determining an energy storage window period, and obtaining a dynamic buffer threshold to construct a peak clipping and valley filling instruction set; and an execution deviation track is monitored, the optimal convergence path is recognized, self-adaptive correction is conducted, an energy-saving control instruction is generated, and intelligent multi-system coordination efficient energy-saving control over the airport ground air conditioning unit is achieved.

The invention discloses a new energy commercial vehicle fast charging working condition thermal management control method and system, and relates to the technical field of new energy vehicle thermal management and fast charging control, and the method comprises the following steps: collecting the temperature, voltage and current data of each subarea of a battery in a fast charging process, forming a time synchronization sequence, and based on the sequence, obtaining a new energy commercial vehicle fast charging condition; calculating internal thermal resistance and thermal capacity parameters of the battery in real time by using an online identification algorithm, updating a basic thermal model to obtain a corrected thermal dynamic model reflecting actual thermal characteristics of the current battery, importing the corrected model into a model prediction controller, constructing a multi-objective optimization function, and performing rolling solution in a prediction time domain to obtain a prediction model; and outputting an optimal target charging current instruction and a cooling total demand, adjusting the charging power according to the target current, and combining the temperature difference distribution of each partition. Accurate prediction and partition cooperative control of the thermal state of the battery in the fast charging process are achieved, the temperature rise and the temperature difference are effectively restrained while the charging efficiency is guaranteed, the service life of the battery is prolonged, and the system safety is improved.

The invention discloses a high-strength and high-toughness aluminum nitride ceramic and a preparation method thereof, and relates to the technical field of ceramics, a sol-gel method is adopted to coat the surface of aluminum nitride with a stable shell layer to form a core-shell structure, meanwhile, the low lattice mismatch rate of a core-shell interface is utilized to reduce thermal resistance, and toughness and thermal conductivity are both considered; according to the external magnetic field tape casting method, the magnetic dipole moment orientation principle is utilized, an external magnetic field is applied in the tape casting stage, the in-plane mechanical property is improved, and the fracture toughness is improved through the magnetism of aluminum nitride whiskers; a reinforcement is introduced to improve the mechanical property and corrosion resistance of the aluminum nitride ceramic material, multi-granularity powder is compounded, large-particle aluminum nitride powder is used as a sintering and heat-conducting framework material, and high activity provided by submicron particles is utilized to promote sintering, so that the sintering temperature of aluminum nitride can be remarkably reduced, and the performance is greatly improved; and the aluminum nitride substrate expands more application fields on a future packaging circuit.

The invention discloses a high-temperature surface contact thermal resistance elimination method based on double thermocouple compensation, and belongs to the technical field of material thermal property characterization and testing. The method comprises the following steps: synchronously acquiring double-thermocouple temperature, and obtaining a temperature difference signal through filtering calibration and environment correction; calculating the real-time heat flux density according to the corrected temperature difference, the Seebeck coefficient and the dynamic correction factor; establishing a nonlinear dynamic coupling model containing contact thermal resistance parameters, and performing temperature interval division; identifying a contact thermal resistance parameter on line by adopting a self-adaptive recursive least square algorithm, and generating a dynamic thermal resistance compensation value; and applying the compensation value to a double-thermocouple signal according to the weight, and outputting accurate high-temperature surface temperature. According to the method, data acquisition and preprocessing, dynamic heat flow correction, nonlinear segmented modeling, self-adaptive online identification and refined compensation output strategies are adopted, the influence of high-temperature surface contact thermal resistance can be effectively eliminated, and the accuracy and reliability of temperature measurement in the high-temperature environment are remarkably improved.

The invention discloses a high-precision power supply output correction method based on a digital pre-distortion technology, and relates to the technical field of power electronics, and the method comprises the steps: integrating an electricity-heat-magnetism real-time combined observer, and inputting parameters including a power supply output voltage, a current, a power device junction temperature, a magnetic element surface temperature, an environment temperature, and an input voltage ripple; using a hierarchical memory depth pre-distortion compensator to generate an anti-phase pre-distortion signal containing long time domain thermal constant compensation and short time domain capacitance energy storage compensation based on modeling engine output; based on a double-ring adaptive updating module, an inner ring updates electrical parameters, including on resistance and dead time, by taking a switching period as a reference, and an outer ring updates thermomagnetic parameters, including thermal resistance and a magnetic core saturation point, in a minute-level period; and the DAC is connected in series with a pre-distortion signal output end through an anti-interference execution channel, and comprises a noise shaping DAC and a driving stage for delay matching. According to the invention, through an electric-thermal-magnetic three-field combined observation architecture, the limitation of traditional single physical field monitoring is broken through.

The invention relates to the technical field of facility management, in particular to a prediction-driven data center thermal resistance control system which comprises an airflow response acquisition module, a thermal hysteresis offset correction module, a heat flux trend extraction module, an air volume priority allocation module and an airflow execution verification module. According to the method, through extraction and sorting of air supply trigger time and thermosensitive node temperature response differences, the temperature control sensing precision is improved, the corrected time sequence is input into the model, the prediction accuracy is enhanced, and dynamic identification of the high-heat-load area and the early warning capability are enhanced in combination with the area temperature change trend and the heat dissipation capability upper limit; the distribution sequence is sorted according to the heat flux trend and the air volume resource relation, the air volume allocation efficiency and the matching degree are improved, the temperature change trend is compared after execution, the adjusting effect reliability is improved, a data closed loop with response recognition, trend extraction, resource sorting and feedback verification as the core is constructed in the whole process, and the initiative and stability of system heat management are enhanced.

The invention relates to the technical field of state monitoring, in particular to an electric drive system overheating protection monitoring method and system based on big data, and the method comprises the following steps: obtaining a power rising section and extracting a temperature curve, judging whether the temperature rise lags behind or not, marking response delay, recognizing thermal fluctuation lag through an expansion window, and extracting peak valley to judge trend deviation. And the positioning node tracks the heat path, identifies the interrupt structure and generates an early warning identifier. In the electric drive system operation process, the coupling relation between the power change trend and the temperature rise time sequence is combined, accurate recognition of temperature rise response delay is achieved, the position distribution of a heat path interruption structure is defined through continuous tracing of the heat node temperature rise sequence relation, and linkage performance between heat interruption structures is combined, so that the reliability of the electric drive system is improved, and the reliability of the electric drive system is improved. Concurrent characteristics of overheating abnormity are identified, the response capability and early warning accuracy of an electric drive system in the early stage of overheating risks are improved, and rapid positioning of potential thermal fault risks and intelligent division of risk levels are achieved.

The present application belongs to the technical field of mass concrete construction, and aims to solve the problem of high thermal resistance and slow heat dissipation of traditional cooling pipe laminar bottom layer, and discloses a gravity dam construction cooling water pipe based on destruction of laminar bottom layer and a method thereof. The cooling water pipe comprises a plurality of series water pipe units, each water pipe unit comprises a steel pipe, a flexible spring hose is arranged in the steel pipe, and the spring hose forms a spiral protruding turbulence structure along the inner wall of the steel pipe; the hose is fixed by pointwise anchoring and outer wall surface bonding with glue, and a ring is arranged at both ends for limiting and assisting turbulence. The present application breaks through the thermal resistance of laminar bottom layer, greatly improves the hydration heat conduction efficiency, is convenient to construct and has durable structure, and is suitable for mass concrete temperature control requirements.

The invention discloses a temperature compensation method and system, and the method comprises the steps: receiving a valve block temperature signal collected by a temperature sensor integrated with a pressure sensor in a closed gas supply unit, and an electronic element temperature and environment temperature signal collected by a temperature sensor on a control unit PCB, generating an initial temperature-working condition data set by combining the power of the air pump and the working duration of the electromagnetic valve; performing thermal resistance network modeling on the initial temperature-working condition data set, constructing a multi-node thermal characteristic matrix, and decomposing the matrix into a plurality of sub-matrixes; performing real-time operation on the sub-matrix by using a dynamic heat balance algorithm to generate a temperature estimation result of the key component; and generating a temperature compensation control instruction according to the temperature estimation result of the key component. According to the embodiment of the invention, the temperature of the key component can be accurately estimated, dynamic compensation is realized, and the control precision and stability of the closed gas supply unit are improved.

The invention relates to the technical field of industrial production control, in particular to a polyurethane raw material preheating control method and system. The method comprises the following steps: acquiring tank body temperature, environment temperature, batch temperature rise, tank body structure and raw material liquid data, constructing a thermal resistance-thermal capacitance series-parallel model to represent system thermal inertia characteristics, then identifying an initial value drift resistance section, a main temperature rise section and a disturbance absorption section in a segmented manner, and implementing power back-stepping based on segmented data, so as to obtain the thermal inertia characteristic of the system. Dynamically generating a heating power track; and a heating track is replanned in combination with real-time change data, so that precise modeling and self-adaptive control of a temperature rise process are realized, and the temperature control precision and energy efficiency response capability of the preheating system under different raw material batches and different working conditions are effectively improved.

The invention discloses a permanent magnet synchronous motor temperature monitoring method based on digital-analog hybrid drive, and the method specifically comprises the steps: dividing a motor into a plurality of heat source nodes, including a stator winding, a stator tooth part, a rotor core and the like, connecting the nodes through a thermal resistance and thermal capacity network, building a thermal network model of the motor, and carrying out the thermal network model; calculating the initial values of thermal resistance and thermal capacity of each component of the motor, and optimizing parameters in a thermal network model by using a differential evolution algorithm based on the lumped parameter thermal network model and in combination with a data-driven strategy. Furthermore, temperature rise prediction is dynamically adjusted according to motor state data (such as stator current, rotating speed and the like) collected in real time so as to realize real-time temperature estimation. The method is high in temperature estimation precision, does not affect the performance of the motor, is simple in calculation, is good in real-time performance, and has physical interpretability. The temperature rise of the motor can be predicted in real time under different working conditions, early warning is given out, motor faults caused by too high temperature rise are effectively avoided, and the reliability and safety of the motor are improved.

The invention discloses a temperature monitoring and adjusting method based on a phase change microcapsule composite cooling liquid, and relates to the technical field of adjusting control, and the method comprises the steps: calculating the equivalent thermal resistance in the operation process in the continuous circulation operation process of the composite cooling liquid, calculating a comprehensive impedance index by using the equivalent thermal resistance in the operation process and the cooling liquid pressure drop in the operation process; based on the comprehensive impedance index and the hot spot area temperature, the cooling liquid circulation flow velocity and the liquid supply temperature are subjected to segmented adjustment operation, and cooling liquid drop after segmented adjustment, turbidity after segmented adjustment, a cooling liquid circulation flow velocity control value and a liquid supply temperature control value are obtained; according to the method, the comprehensive impedance index is calculated, so that the heat exchange performance change and the flow resistance change of the cooling liquid in the current operation state can be quantified in a unified manner, the common phenomena of adjustment overshoot and response hysteresis in a single temperature control strategy are avoided, and the problem that the heat exchange capacity change and the flow resistance change are difficult to cooperatively judge is solved.

The invention provides a rotary table bearing-torque motor thermal vibration coupling modeling method, and relates to the technical field of machine tool reliability analysis. Comprising the steps of calculating bearing restoring force, torque and elastic rigidity; giving a dynamic balance equation of the main shaft system; unbalanced magnetic pulling force and unbalanced mass excitation are calculated; a displacement field is solved, and load changes caused by the displacement field are transmitted to the thermal model; the contact force borne by the bearing is updated by considering the load effect related to displacement, and the friction heat generation of the bearing and the heat generation of each part of the motor are calculated; calculating thermal deformation and thermal displacement of the bearing; thermal resistance among nodes is calculated, and a temperature field equilibrium equation is given through a thermal resistance network to achieve rapid thermal-mechanical coupling analysis; the thermal equilibrium equation is solved to calculate temperature response; importing the latest temperature into the kinetic model; lubricating grease viscosity and bearing thermal deformation are updated; and repeating the steps to finally obtain the main shaft displacement field and temperature field response. The method is high in accuracy, high in universality, low in test cost and high in test efficiency.

The invention discloses a heat dissipation control method and device for a single-phase immersed liquid cooling charging pile and a medium, and relates to the technical field of battery thermal management, and the method comprises the steps: carrying out the high-precision scanning and dynamic feature extraction of a built-in fiber grating array of a cold plate according to a partition flow control signal, and obtaining a temperature field matrix and a dynamic thermal feature set; performing multi-dimensional fusion analysis and electrochemical coupling analysis on the temperature field matrix and the dynamic thermal feature set to generate a thermal coupling parameter set; performing real-time risk quantitative evaluation and risk topological mapping on the thermal coupling parameter set, and outputting a risk topological data set; and performing cooling intensity dynamic modulation according to the risk topology data set, and obtaining a partition flow redistribution instruction. According to the invention, fine monitoring of the cold plate-battery interface contact thermal resistance is realized through a high-precision pressure field reconstruction technology, the accuracy and reliability of pressure distribution detection are significantly improved, and the local overheating risk caused by an assembly gap is effectively eliminated.

The invention relates to the technical field of chemical automation control, and discloses an intelligent closed-loop control system for producing p-dichlorobenzene by a biomass method, which comprises a signal acquisition module, a residence time reconstruction module, a thermal coupling analysis module, a parameter self-adaptive scheduling module and an execution control module. The rheological characteristics of raw materials are monitored by collecting the current of a stirring motor, the liquid level is dynamically increased through a retention time reconstruction module to prolong the retention time of the materials, and a liquid level periodic migration strategy is introduced to prevent scaling of a gas-liquid interface; the thermal coupling analysis module and the parameter self-adaptive scheduling module are used for calculating thermal retardation post factors, temperature control parameters are corrected in real time, the upper limit of cooling output is limited, inner wall supercooling crystallization is prevented, and the problems that the conversion rate is reduced, the heat transfer efficiency is reduced and equipment is hung on the wall due to viscosity fluctuation of biomass raw materials are effectively solved. And the self-adaptive stable control of the reaction process is realized.

The invention relates to the technical field of temperature control, and discloses an intelligent welding temperature control method and system based on multi-sensor fusion, and the method comprises the steps: obtaining a welding spot temperature distribution matrix, contact pressure data and wetting angle data; performing environment interference identification and compensation to obtain an environment correction temperature matrix; performing thermal resistance calculation to obtain a dynamic contact thermal resistance value; identifying a solder phase change state identifier; according to the method, the control gain parameters are adjusted in real time according to the solder phase change state identification and the dynamic contact thermal resistance value, intelligent self-adaption of the control strategy is achieved, and the problem that adaptability of fixed parameter control in different welding stages is insufficient is solved.

The invention relates to the crossing field of biothermodynamics and dynamic environment control, and discloses a space thermal microclimate multi-target regulation and control method, device and system, a medium and a product. The method comprises the following steps: acquiring physiological parameters (including effective dressing thermal resistance and local sweat gland density of posture correction) of a passenger, environment space-time parameters and light environment parameters through a biological characteristic sensor, an environment sensor and an optical sensor; constructing a dynamic human body thermal comfort model library, and adopting a feature coding-parameter decoding mechanism to match a target thermal comfort model; generating a hierarchical regulation strategy based on the difference between the local comfortable temperature and humidity interval and the real-time thermal environment sensing parameter; and the refrigerant circulation system, the fluid circulation system and the optical radiation system are cooperatively controlled to realize local microclimate regulation and control. According to the method, the problems of inaccurate thermal comfort modeling and low multi-system cooperation efficiency in a transient environment are solved, the energy efficiency ratio is improved, and the comfort of passengers in a cabin is remarkably improved.

The invention discloses a rapid thermal simulation method and system for a semiconductor power assembly, and relates to the technical field of semiconductors, and the method comprises the steps: collecting a voltage V (t) signal and a current I (t) signal of the semiconductor power assembly in real time through a voltage and current sampling circuit, constructing a power pulse input sequence A, and carrying out the hot carrier accumulation analysis according to the power fluctuation change amplitude; introducing a transient thermal resistance function Zth (t), fitting the transient thermal resistance function Zth (t) with a hot carrier pulse response index Mcx after numerical integration to analyze junction temperature change caused by power pulse, and evaluating an equivalent junction temperature dynamic change rate; when the analysis result is that the thermal drift out-of-control trend exists, thermal risk analysis is carried out, and thermal risk state assessment is generated; the simulation model optimizes thermal model parameters and outputs thermal control suggestions through a rollback correction path, and the working state of the semiconductor power assembly is automatically adjusted. According to the method, real-time monitoring and effective prevention and control of thermal runaway can be realized, and the reliability and safety of the semiconductor power assembly are improved.

The invention discloses a new energy automobile battery pack thermal management system multi-target adaptive control method, which comprises the following steps: constructing a thermal resistance-thermal capacity dynamic network model of a battery module and a cooling flow channel, and constructing a reinforcement learning virtual training environment; constructing a multi-target composite reward function; constructing a neural network model based on depth deterministic strategy gradient, and guiding gradient updating of strategy network parameters by using a multi-target composite reward function until the neural network model converges; solidifying the trained and converged strategy network parameters, deploying the solidified strategy network parameters to a vehicle thermal management controller, and outputting the optimal cooling liquid flow rate under the current working condition; and mapping the optimal cooling liquid flow rate into an electronic water pump rotating speed instruction. The method can solve the problems that in the prior art, due to the fact that the calculation load is large, the requirement for millisecond-level real-time response under the extreme working condition is difficult to meet, limitation is caused by linear deduction of temperature distribution only depending on head and tail modules, and a dynamic adjustment strategy cannot be fed back in real time.

The invention discloses a mold partition temperature control system based on an air film adjustable thermal resistance boundary, and belongs to the technical field of mold temperature control and thermal management. The system comprises a mold body, at least two temperature control subareas and gas film adjustable thermal resistance boundary units arranged between the adjacent temperature control subareas. The air film adjustable thermal resistance boundary unit comprises a boundary air cavity, an air injection micropore, an exhaust adjusting structure and an air supply unit. Gas enters the partition boundary area through the gas injection micropores and forms a gas film layer, and the thickness, continuity, stability and coverage range of the gas film layer are changed by adjusting the gas supply pressure, the gas supply flow and the exhaust resistance, so that the thermal coupling strength between the adjacent temperature control partitions is adjusted. The system is suitable for injection molding, pressure casting, hot pressing and composite material forming molds.

The invention relates to the technical field of printed circuit boards, and discloses a circuit board structure and a preparation method thereof, and the circuit board structure comprises a copper seat, the top of which is provided with a first groove; a chip, wherein the chip is arranged in the first groove; the ceramic substrate layer is arranged at the bottom of the copper seat, and the shape of the cross section of the ceramic substrate layer is the same as that of the bottom surface of the copper seat; the copper plate layer is arranged at the bottom of the ceramic substrate layer, and the shape of the cross section of the copper plate layer is the same as that of the cross section of the ceramic substrate layer. The ceramic substrate layer and the copper plate layer are sequentially arranged at the bottom of the copper base, the thermal resistance of the chip during working can be remarkably reduced, the overall heat dissipation performance can be improved, the cross sections of the ceramic substrate layer and the copper plate layer are consistent with the bottom surfaces of the copper base and the copper plate layer in shape, and the layers are high in structural fitting degree, uniform in stress distribution and good in plate thickness consistency after lamination; and the warping problem of the copper seat caused by thermal expansion is effectively reduced.

The invention relates to the technical field of data processing, and discloses a temperature effect modeling method and system for a concrete tower drum. The method comprises the steps of establishing a finite element model considering joint grading thermal resistance and prestress correction material parameters, adaptively adjusting a time step length according to a solar altitude change rate to calculate a radiation load, obtaining a convergence temperature field through bidirectional coupling iteration of a temperature field and a stress field, and extracting characteristic temperature to train a neural network to realize rapid prediction. According to the invention, the precision and efficiency of temperature effect analysis of the fabricated concrete tower drum are improved.

The invention relates to the field of thermal flow guide path optimization, and discloses an electronic communication equipment heat dissipation method based on thermal flow guide path optimization, which comprises the following steps: arranging a plurality of thermal paths between a chip and a radiator, combining the thermal paths into a network structure in parallel and series modes, and constructing a selectable thermal flow path network structure; collecting real-time temperature and load data of each module, and constructing a multi-dimensional thermal state database in combination with historical operation records and environmental parameters; thermal resistance and module temperature of each thermal path are analyzed, priority is set according to module types and power loads, key modules correspond to specific thermal flow paths, non-key modules distribute thermal flow through remaining paths, and a thermal flow planning scheme is generated; the thermal resistance of each path is adjusted through the phase change material, and a target thermal resistance value is generated; in the chip operation process, the temperature, load and thermal resistance state of each thermal path are continuously collected, and a thermal resistance adjusting instruction is generated; the method has the advantage that the thermal management efficiency and the temperature control precision are improved.

The invention provides a self-adaptive optimization method and system for motor multi-working-condition temperature rise prediction, and relates to the technical field of motor temperature calculation and prediction. According to the method, the motor thermal network model is constructed through refined node division, the correction coefficient and thermal resistance sensitivity analysis are introduced, and the thermal resistance is scientifically graded, so that the model accuracy is improved. Furthermore, according to the method, the adaptive genetic algorithm is adopted to carry out sectional optimization on the thermal resistance parameters, and rapid and accurate calculation of the temperatures of the motor under various working conditions is realized. In addition, the invention further provides a system based on a computer readable storage medium, and the system is used for achieving the construction and optimization process of the model. According to the method, the genetic algorithm and thermal resistance sensitivity analysis are combined, rapid parameter optimization of the thermal network model is achieved, the temperature calculation precision of the model under different motor working conditions is remarkably improved, and the method has wide application prospects.

The invention discloses a silicon carbide power module packaging structure with low thermal resistance and low stress, and belongs to the technical field of semiconductor devices. The packaging structure comprises a metal substrate; the insulating ceramic layer is arranged on the metal substrate; the circuit layer is arranged on the insulating ceramic layer; the lower surface of the silicon carbide chip is connected with the circuit layer through a first interface layer; the composite heat dissipation stress buffer layer is arranged on the upper surface of the silicon carbide chip through a second interface layer; the copper clamp is connected with the upper surface of the composite heat dissipation stress buffer layer through a third interface layer; and the composite heat dissipation stress buffer layer is made of a copper-graphite composite material. According to the invention, the junction temperature of the silicon carbide chip can be greatly reduced, the overall thermal resistance is reduced, the surface stress of the chip is reduced, the warping phenomenon of the chip in the working process is effectively improved, and the long-life reliability of the power module under the long-term thermal cycle working condition is ensured.

The invention relates to a surface material uniformity analysis method and system for an insulator of a power distribution network, and belongs to the technical field of data processing, and the method comprises the following steps: S1, obtaining an optical image, a thermal imaging image and ultrasonic echo data of the surface of the insulator; s2, performing image processing on the acquired optical image, extracting characteristic parameters of surface roughness, texture direction and texture consistency, and constructing a surface texture uniformity index; s3, thermal diffusivity and thermal resistance of different areas are calculated from the thermal imaging image, thermal parameter differences of the areas are compared, and a thermal performance uniformity evaluation value is formed; s4, aiming at the ultrasonic echo data, establishing a correlation model of the ultrasonic characteristics and the internal uniformity of the material; s5, the fusion analysis model comprehensively evaluates the uniformity of the surface material of the insulator; the method has the beneficial effects that the fusion analysis model realizes comprehensive evaluation of the uniformity of the surface material of the insulator from multi-dimensional data.

The invention discloses a high-heat-flux heat dissipation system for an on-orbit computing power cluster, and belongs to the technical field of spacecraft heat control. The system is independent of a satellite conventional thermal control platform and is specially used for discharging waste heat of an AI calculation array. The system comprises a heat capture unit, a pumpless heat transfer unit and a foldable heat dissipation unit. The heat transmission unit comprises a micro-channel flexible pulsating heat pipe (such as a diamond film material), and the heat pipe spans a folding area and has the functions of structural connection and heat transmission, so that a thermal low-impedance independent channel relative to a satellite structure is formed. Through the design of removing a mechanical pump and removing a mechanical hinge, the problems of large weight, micro-vibration interference, high contact thermal resistance and the like of a heat dissipation system of the computing power satellite are solved, and preferential directional heat dissipation of high-flux heat is realized.

The invention relates to the technical field of optical communication, in particular to an optical module cooling system which comprises a switch shell, a PCB, a socket, a radiator and a lifter, and the PCB, the socket, the radiator and the lifter are arranged in the switch shell. A cage is arranged in the switch shell; the PCB is arranged at the bottom end of the cage; the socket is arranged in the cage and is connected with the PCB; an opening is formed in the top end of the cage; the lifter is connected with the radiator so as to drive the radiator to vertically pass through the opening; and a heat-conducting silicone grease layer is arranged on the bottom surface of the radiator. The radiator is not in direct contact with the optical module, the heat-conducting silicone grease layer is filled between the radiator and the optical module, the radiator is in hard contact with the shell of the optical module through the heat-conducting silicone grease layer, a gap between abutting faces is effectively eliminated or reduced, air reserved in the gap is reduced, and therefore heat resistance between the radiator and the shell of the optical module is reduced, and the service life of the optical module is prolonged. And the heat exchange efficiency is improved.