1083 results about "Thermal control" patented technology

The invention relates to the technical field of server heat dissipation optimization, in particular to an intelligent heat dissipation control optimization method and system for a server, and the method comprises the steps: obtaining the temperature information of each region of the server and the working load data of the server; based on the temperature information, constructing multi-dimensional thermal field topological mapping; executing group theory base heat flow dynamic analysis according to the multi-dimensional thermal field topological mapping; performing spectral decomposition heat dissipation efficiency evaluation based on a group theory basis heat flow dynamic analysis result; according to the spectral decomposition heat dissipation efficiency evaluation result and the workload data, nonlinear heat transfer optimization is executed; a self-adaptive feedback control strategy is generated and used for adjusting a heat dissipation system of the server, accurate description of internal temperature distribution of the server is provided by a multi-dimensional thermal field topology mapping technology, and a foundation is laid for subsequent optimization; the group theory-based heat flow dynamic analysis method deeply reveals the essential law of heat transfer; the spectrum decomposition heat dissipation efficiency evaluation provides a brand new performance quantitative index, and the heat dissipation efficiency of the system is improved by more than 20%.

The invention provides an early warning system for thermal control equipment of a thermal power plant, and belongs to the technical field of industrial management, and the system comprises a model building module which obtains internal environment data of the thermal power plant and operation monitoring data of the thermal control equipment of the thermal power plant, and builds a normal behavior model of the operation of the thermal control equipment of the thermal power plant; the deviation determination module is used for determining the real-time operation deviation condition of the thermal control equipment of the thermal power plant and further determining the real-time abnormal data of the thermal control equipment of the thermal power plant; the score determination module is used for determining a real-time health score of the thermal control equipment of the thermal power plant; the strategy determination module is used for determining a real-time fault reason of the thermal control equipment of the thermal power plant, and further determining a comprehensive early warning strategy based on the real-time fault reason of the thermal control equipment of the thermal power plant; and the early warning execution module is used for determining an early warning level based on the real-time health score of the thermal control equipment of the thermal power plant and sending out an early warning signal. And the fault prediction and early warning capabilities of the thermal control equipment of the thermal power plant are improved.

The invention relates to the technical field of power adapter temperature management, and discloses a gallium nitride power adapter temperature management system comprising a dynamic thermal model module used for accurately predicting the temperature change trend of each key component; the multi-level temperature monitoring network module is used for forming a complete temperature distribution diagram; the multi-device collaborative sensing module is used for generating a sensing result of the whole heat dissipation environment; the self-adaptive air duct structure module is used for optimizing an air flow path; the heat dissipation path module based on swarm intelligence is used for calculating and generating an optimal multi-device collaborative heat dissipation path by applying a swarm intelligence algorithm; the self-adaptive heat dissipation control strategy module is used for realizing multi-target balance optimization of temperature, noise and energy consumption; the problem that heat dissipation is difficult when multiple adapters are used in a centralized mode is solved, heat dissipation efficiency is improved, energy consumption is reduced, and noise is reduced.

The invention relates to a monocrystalline silicon thermal field multi-section dynamic cooperative heating control method and system, and the method comprises the following steps: constructing a thermal field multi-section temperature coupling model, dividing a thermal field into n axial heating sections, and building a dynamic relation between power input and temperature gradient; a deep reinforcement learning agent is designed, the state space of the deep reinforcement learning agent integrates the temperature of each heating section, the crystal lifting speed, the crucible lifting speed and the temperature gradient, and the action space outputs the power adjusting quantity of each heating section; defining a multi-target reward function, and jointly optimizing temperature gradient tracking, total power change and crucible bottom safety threshold; training the intelligent agent offline based on the thermal field model, and optimizing the strategy network; an intelligent agent is deployed online, and a power adjusting instruction is generated in real time; the control strategy is dynamically corrected, and online fine adjustment is performed through setting trigger adjustment. According to the method, the defects of a traditional method in the aspects of temperature gradient control precision, energy consumption economy and abnormal working condition self-adaptability are overcome, and the growth quality and efficiency of monocrystalline silicon are remarkably improved.

The invention relates to the technical field of food processing, in particular to a cooking and processing system for fermented glutinous rice cake chilies based on temperature feedback. In the hot pepper cooking treatment process, the temperature distribution of the temperature control points with different heights in the cavity is obtained and the layered gradient difference value sequence is constructed, so that the space difference of the temperature change in the cavity can be effectively identified, and further the advance or lag state of the heat response is periodically judged; on the basis, time sequence structure data are constructed according to the top and bottom temperature and pressure change sequences, and the upper and lower layer pressure response relevance is identified in a trend matching mode, so that the hot-pressing state prediction is closer to the real change process, and the accuracy of hot-pressing state prediction is improved. Finally, the opening and closing frequency and direction of a hot air circulation channel are rhythmically scheduled based on a prediction result, balance and smoothness of internal hot air circulation are ensured, and the thermal control precision and the hot-pressure adjusting capacity in the cooking process are enhanced in the whole process.

The invention relates to a spacecraft thermal control film coating defect identification method based on a multi-dimensional attention mechanism. According to the method, a correlation mapping model based on monitoring data-detection image sensitive features-coating defects is constructed, and accurate feature information extraction of the multi-type defects of the coating on the surface of the spacecraft by a convolution kernel is realized by constructing a channel-space attention mechanism convolution neural network; through modes of random rotation, mirroring, symmetry, blurring, brightness change, contrast adjustment, saturation change, Gaussian noise addition and the like, data expansion is performed on variety defect categories with relatively small sample sizes, a data set is enriched, and the problem that the sample sizes of multiple types of defects are unbalanced is solved; a lightweight module (LM-Block) and a feature enhancement module (FEM-block) based on an attention mechanism are designed on the basis of a GhostConv self-adaptive ghost convolution module, and a coating defect detection model architecture based on efficient self-adaptive convolution and channel-spatial pyramid pooling is proposed on the basis of the modules to realize accurate recognition of defects.

The invention provides an air source heat pump heating method and system, and relates to the technical field of heat pump system thermal control, and the method comprises the steps: collecting evaporator surface frost layer thickness, environment temperature and humidity parameters in real time, inputting the parameters to a pre-trained neural network algorithm model, and identifying a frosting rate by analyzing a multi-factor nonlinear relation; predicting a future frosting development trend, and outputting frosting thickness increase prediction and severity degree results; and according to the frosting thickness increase prediction and the severity degree result, reverse circulation defrosting is started in advance when the frost layer does not reach the critical thickness, and optimal control over the defrosting process is achieved by adjusting the opening degree of the four-way valve and the rotating speed of the draught fan, so that the system state after defrosting is obtained. The energy efficiency of the system is improved, and the heating comfort is optimized.

The invention discloses an aircraft aerodynamic performance analysis method, which comprises the following steps: constructing a multi-dimensional parameterized model integrating aerodynamic / structure / thermal control, and outputting a global design space; based on a global design space, fusing sparse fluid dynamics and engineering data to train an agent model, and verifying the cross-speed domain reliability; decoupling the centroid / lift-drag ratio / thermal load conflict by using the proxy model, and generating a speed domain adaptive configuration library; executing fluid-structure-thermal field strong coupling simulation by utilizing a shock wave-boundary layer self-adaptive grid technology aiming at the speed domain self-adaptive configuration library; based on a fluid-structure-thermal field strong coupling mechanism, utilizing a dynamic sensing technology to predict the aerodynamic performance of the aircraft; and integrating dynamic prediction data and digital simulation, calibrating model parameters, and outputting an aerodynamic performance report and an optimization scheme. According to the method, the problems of insufficient multi-physical field integration, low cross-speed domain reliability, poor configuration self-adaption and low coupling simulation precision in aerodynamic performance analysis of a traditional aircraft are solved.

The invention provides a thermal control loop quality monitoring method for a thermal power plant, and aims to improve the thermal control loop performance of the thermal power plant. According to the method, firstly, relevant operation parameters of a PID control loop are collected online in real time and normalized, then performance is evaluated by using a minimum variance or a generalized minimum variance, and actual, ideal and historical optimal indexes are compared. And aiming at the condition that the performance is influenced by unreasonable PID parameters, data-driven modeling and an advanced control technology are utilized to optimize the parameters. And setting a threshold range, and respectively triggering alarm and carrying out trend prediction and early warning on the performance index deviation and long-term performance degradation problems. A control strategy is adjusted according to evaluation and detection information, the effect is continuously monitored, key factors are found in combination with multi-dimensional data fusion and big data analysis, and a rule is excavated. Performance reports are generated regularly, key indexes are displayed, iterative optimization is carried out based on results of all links, it is guaranteed that the loop is in the optimal state, and the reliability and efficiency of thermal power plant operation are improved.

The invention belongs to the field of thermal control and energy conservation of energy storage cabinets, and particularly relates to an intelligent energy-saving control method and system for a liquid-cooled thermal management system of an energy storage cabinet, and the method comprises the steps: obtaining the working state data of the energy storage cabinet and the data of the thermal management system, and introducing an electrothermal conversion model and an energy-saving cooling control model at the same time; secondly, based on the working state data of the energy storage cabinet and an electrothermal conversion model, accurately calculating electrothermal conversion efficiency and a charge-discharge-temperature rise mapping space; thirdly, inputting data of the charging and discharging-heating mapping space and the thermal management system into the energy-saving cooling control model, and generating a first cooperative control parameter and instruction; and finally, parameters and instructions are fed back to a cooperative control device, so that the state change time point and the cooling output power of the liquid cooling unit are accurately controlled, and the boosting rate of the energy storage cabinet is adjusted. According to the method, the accurate time point of cooling is effectively mastered through the accurate mapping space of the heating and cooling processes, the cooling efficiency is improved, and the cooling energy consumption is reduced.

The invention relates to the technical field of liquid cooling energy storage control, in particular to an efficient liquid cooling energy storage system and a control method thereof, and the system comprises a path monitoring module, a path recognition module, an abnormality marking module, a switching execution module and a path reinspection module. According to the method, through combined calculation of the main channel pressure change rate and the outlet pressure deviation value, early recognition of the cooling efficiency attenuation trend is achieved, the channel abnormity sensing precision is improved, the temperature recovery rate is introduced to serve as a heat release accumulation criterion, the dynamic judgment capacity for heat retention is enhanced, and the cooling efficiency is improved through a double abnormity parallel judgment mode. Misjudgment is avoided, early warning accuracy is improved, main and standby channel switching is implemented, an independent cooling path structure is formed, pressure and temperature fluctuation is dynamically rechecked after a standby path is started, stable switching is ensured, the continuous monitoring capacity is achieved, and a parameter trend recognition, path reconstruction and state verification closed-loop mechanism is integrally constructed. And the operation stability and the thermal control reliability of the energy storage system are improved.

The invention relates to the technical field of injection molding, and discloses a plastic part injection mold regulation and control system and method based on a complex curved surface and a thin-wall structure, and the plastic part injection mold regulation and control system based on the complex curved surface and the thin-wall structure comprises a mold modeling module, a temperature modeling module, a control modeling module, a control optimization module and a control execution module; the plastic part injection mold regulation and control method based on the complex curved surface and the thin-wall structure comprises the steps that a mold three-dimensional model and thermal control area mapping are built, a heat conduction model is built, modal dimensionality reduction is conducted, a target temperature field and a performance function are combined, optimal temperature regulation and control are achieved through a predictive control algorithm, real-time feedback is matched, and a heating and cooling unit is driven. And dynamic closed-loop control of the mold thermal field is realized. According to the method, thermal control precision and energy consumption efficiency are optimized through Galerkin modal dimension reduction, model predictive control and a weighted performance function, global closed-loop temperature control is achieved by combining mapping of a three-dimensional area and a heating and cooling unit of the mold, and system safety and stability are enhanced.

According to the method suitable for solving the transition turbulence flow field of the underwater vehicle containing the temperature gradient, CFD solving is carried out by directly calling an underwater boundary layer transition turbulence model considering the temperature gradient, and prediction of the boundary layer transition position and the transition process of the underwater vehicle under the wall surface thermal control condition is achieved. Firstly, an incompressible similarity equation set containing a temperature equation is solved, an underwater boundary layer characteristic parameter database is established, linear stability analysis is carried out under a given flow working condition, and transition momentum thickness Reynolds numbers # imgabs0 # under different flow working conditions are obtained; fitting to obtain a fitting relational expression between a transition momentum thickness Reynolds number # imgabs1 # and a flow working condition as a transition criterion; and implanting the transition criterion into a source item of the transition model to obtain an underwater boundary layer transition prediction model considering the temperature gradient, and finally modifying a generation source item and a damage source item of a turbulent energy transport equation in the Menter SST turbulence mode according to the transition prediction model to obtain an underwater boundary layer transition turbulence model considering the temperature gradient.

The invention relates to a method for optimizing a liquid metal micro-channel radiator. The method comprises the following steps: determining basic parameters for optimizing the radiator; determining boundary conditions of a micro-channel inlet, and establishing a two-dimensional liquid metal micro-channel radiator model; establishing a topological optimization objective function and constraint conditions according to thermal control index requirements; carrying out material interpolation function definition on the reverse permeability coefficient of the porous medium, the heat conduction coefficient of the material and the specific heat coefficient of the material; carrying out iterative calculation on the two-dimensional liquid metal micro-channel radiator model to obtain an optimized radiator channel configuration; constructing a three-dimensional model of the liquid metal radiator flow channel; comparing an analysis result of the three-dimensional finite element model of the radiator with a heat dissipation index and a flow index, and judging whether a working requirement is met or not; and when the working requirements are met, the liquid metal micro-channel radiator with the most effective corresponding heat dissipation capability is obtained. According to the invention, the power consumption of an external driving system can be reduced, and the corresponding optimal liquid metal micro-channel radiator structure can be obtained.

The invention discloses a building composite phase change material intelligent matching and optimizing method based on a large language model, and belongs to the technical field of building energy saving and intelligent material design. Basic thermophysical property data, building environment parameter data and user demand data are collected; a deep reinforcement learning technology is utilized to construct an intelligent model based on a deep Q network strategy, and generated data samples are integrated into a thermophysical property database; outputting a candidate material combination recommendation scheme by adopting a large language model; evaluating the candidate material combination recommendation scheme by using the semantic tag vector and a sorting engine to obtain a performance evaluation result; generating a performance evaluation report according to the simulation model; a multi-agent negotiation algorithm is adopted, cross-regional thermal control performance is optimized, a multi-dimensional performance comparison diagram and tuning suggestions are generated, correction information of designers is recorded, optimization is carried out, and feedback is provided in a self-adaptive mode. According to the method, the building composite phase change material combination is screened, cross-regional thermal control is optimized, adaptive schemes and suggestions are output, and the self-adaptive optimization capability of the system is improved.

The invention discloses a thermal control instrument fault self-diagnosis system based on multi-source data fusion, and relates to the technical field of prediction and health management. The thermal control instrument fault self-diagnosis system based on multi-source data fusion comprises the following steps: a data collection and arrangement module used for collecting thermal control state data in real time and preprocessing the thermal control state data; the feature construction and extraction module is used for performing thermal deviation anomaly judgment on the preprocessed thermal control state data; the state intelligent evaluation module is used for performing temperature trend comparison on the thermal control state data after the thermal deviation abnormity judgment; the diagnosis linkage control module is used for fusing thermal deviation abnormity judgment and a temperature trend comparison result to execute control and participate in adjustment; and the result displaying and filing module is used for sorting and recording the measuring point diagnosis result and the processing state. The problems that false alarm is caused by wall temperature thermocouple signal drifting and abrupt change, fusion analysis of adjacent measuring points and operation states is lacked, and real overheating and instrument faults are difficult to distinguish are solved.

The invention provides a monitoring method and a control device for fire hazards of a lithium battery energy storage system, and belongs to the technical field of thermal runaway early warning, the method comprises the steps that the thermal state parameters of a lithium battery are confirmed, and the thermal state parameters are used for reflecting the heat state of the lithium battery in the using process; according to the thermal state parameters, a thermal control risk characteristic value of the lithium battery is determined, and the thermal control risk characteristic value is used for reflecting the thermal runaway risk of the lithium battery; according to the thermal control risk characteristic value and a multi-parameter fusion technology, determining a comprehensive index reflecting the thermal control risk of the lithium battery; selecting a machine learning algorithm according to the thermal control risk characteristic value, and determining a thermal runaway risk prediction model according to the machine learning algorithm; and collecting real-time thermal state parameters of the lithium battery, and determining the current thermal runaway state of the lithium battery according to the real-time thermal state parameters of the lithium battery and the thermal runaway risk prediction model. Whether the lithium battery is about to be subjected to thermal runaway can be predicted, the monitoring accuracy is improved, an early warning signal is sent out in time, and safe operation of the system is ensured.

The invention discloses an optical-mechanical-thermal integration analysis method for a space low-temperature infrared camera, which belongs to the technical field of space optical remote sensing and comprises the following steps of: when a low-temperature infrared optical system is designed, firstly, performing structural modeling on parameters of the infrared low-temperature optical system in a normal-temperature state, and establishing a corresponding structural and thermal control analysis finite element model based on a structural model; a thermal control analysis temperature field is used as structural finite element analysis input, and structural simulation analysis is performed on changes of the mirror surface precision and the mirror surface position of the optical system; processing the precision and position change data into a format which can be identified by low-temperature optical system design software, and importing the data into the optical design software; the optical performance of the low-temperature optical system at low temperature is evaluated through optical design software, the stability of interior orientation elements is evaluated, and the reliability of the low-temperature optical system is improved; the low-temperature optical system provides guidance from normal-temperature adjustment test to low-temperature use; the problem that the performance of a low-temperature infrared optical system is difficult to evaluate and predict under large thermal deformation is solved.

The invention relates to the technical field of satellite load thermal balance tests, in particular to a thermal control device for a satellite load vacuum thermal balance test. The heat isolation cabin is mounted above the supporting assembly; the heat dissipation assembly comprises a heat dissipation plate arranged on one side plate of the heat isolation cabin, a first heat rapid transfer assembly connected with the heat dissipation plate and the heat isolation cabin, and a first heater arranged on the heat dissipation plate; the heat compensation assembly comprises a second heat rapid transfer assembly and a second heater arranged on the side plate, away from the heat dissipation plate, of the heat isolation cabin; and a program-controlled temperature acquisition system. The device provided by the invention can simulate all working conditions of a satellite load in an in-orbit space environment, can realize conversion of different working conditions without opening the tank, reduces air pumping and deflation of the vacuum tank, saves the satellite load heat balance test time, does not need frequent disassembly and assembly in the test process, and improves the test efficiency. And the risk caused by frequent disassembly and assembly to the satellite load is reduced.

The invention relates to a satellite cabin load layout optimization method based on a quantum algorithm, and the method comprises the following steps: listing a mathematical expression form of an optimization target and a limiting condition according to a satellite cabin load layout requirement, and generating a constraint optimization problem model; wherein the optimization target and the limiting condition at least comprise a satellite quality characteristic requirement, a space geometric compatibility requirement, a thermal control requirement, an electromagnetic compatibility requirement, an installation and maintenance requirement and an installation position requirement of special instrument equipment; converting the layout constraint optimization problem mathematical model into an optimization objective function in a secondary unconstrained binary optimization form; solving the optimization objective function by using a quantum optimization algorithm to obtain an optimization vector; and calculating the load position and attitude of the satellite cabin by optimizing the vector, and carrying out inversion to obtain a final satellite cabin load layout scheme. According to the method, the non-deterministic polynomial problem of satellite cabin load layout optimization can be solved in an accelerated manner by utilizing the characteristics of superposition, entanglement, interference and the like of quantum bits, and a new technical approach is provided for improving the design efficiency of a satellite cabin load layout optimization scheme.

The invention discloses a design method for dynamic energy efficiency optimization control in a dynamic load changing process of a coal-fired unit, which belongs to the field of thermal control of a thermal power plant and comprises the following steps of: S1, establishing a unit nonlinear dynamic model based on a mass and energy balance law according to a typical coal-fired unit; s2, based on a multi-target genetic algorithm, performing parameter identification by taking minimization of an integral absolute error as a target to obtain parameters of the nonlinear dynamic model of the coal-fired unit, and based on stable operation point linearization, obtaining a linear state space model of the coal-fired unit; s3, designing an extended state Kalman observer, and estimating and compensating the state of the coal-fired unit model under the conditions of model uncertainty, external disturbance and noise; and S4, providing an optimization objective of comprehensively considering the tracking performance and the dynamic # imgabs0 # loss, and finishing the design of the control system in combination with an extended state Kalman observer. According to the invention, the anti-interference capability of the control system under unknown or sudden disturbance can be enhanced, and the coordination level control performance of the unit can be improved.

The embodiment of the invention provides a thermal analysis modeling method, device, system and equipment for a high-speed aircraft equipment cabin, and the method comprises the steps: dividing different heat transfer processes of cabin thermal analysis into a plurality of modules according to a heat transfer process and a thermal control scheme, and building a model of each module; according to the module division condition, model parameters of all the modules are determined, and the model parameters comprise fixed parameters and interface parameters; modeling is completed according to the divided different modules and the determined model parameters, and the model is configured and corrected; all the models are connected and coupled, and an overall modular simulation model is obtained and used for analysis and verification; according to the method, local debugging and testing can be carried out under the condition that the design of other modules is not clear, the situation that other modules need to be changed at the same time during later adjustment can be avoided, the universality and debugging performance of a constructed model are improved, and meanwhile the efficiency of thermal analysis design is improved.

The invention provides a biological blood vessel bionic liquid cooling network heat dissipation method for a humanoid robot, and belongs to the technical field of robot heat dissipation. The biological blood vessel bionic liquid cooling network heat dissipation method for the humanoid robot comprises the following steps: carrying out embedded near-node heat dissipation with a driving source by utilizing a first heat dissipation unit according to the aorta-level local high-heat-flow heat dissipation requirement of a chip located at the brain of the humanoid robot through biological bionic mapping and global partition cascade thermal control; aiming at the high-dynamic multi-heat-source heat dissipation requirement of a joint motor located at a movable joint part of the humanoid robot, indirect heat dissipation with a driving source is carried out by utilizing a second heat dissipation unit; according to the capillary-level low-heat-flux heat dissipation requirement of a power battery located on the chest of the humanoid robot, self-driven indirect heat dissipation is conducted through the capillary pump effect by means of a third heat dissipation unit; and for vein-level liquid cooling backflow, large-area natural convection air cooling heat dissipation on the skin surface is simulated for global heat discharge, and finally the bionic liquid cooling heat dissipation method for the system-level humanoid robot is formed.

The invention belongs to the technical field of space photoelectric detection, and provides a high-precision tracking and pointing system and method capable of autonomously formulating an observation task in orbit. The system comprises an information processing unit, a power supply management unit, a task management unit, a thermal control unit, a GNSS unit, a star sensor unit, a gyroscope unit, a tracking and pointing calculation unit and a servo turntable unit. The system can receive a platform instruction, integrate information of sensors such as a GNSS, a star sensor and a gyroscope, calculate the accurate position of a tracked celestial body, and adjust the direction of a servo turntable in real time so as to accurately track a target. The working method comprises the steps of system starting and initializing, observation task making, tracking and aiming mode preparing, aiming direction correcting, observation target tracking and aiming, exception handling and the like. The system can realize high-precision observation of a celestial body target without depending on attitude adjustment of a spacecraft platform, improves the observation efficiency and reliability, and is suitable for observation of celestial bodies such as pulsar on a space station platform.

The invention discloses a synchronous temperature control method for co-extrusion molding of a multilayer polymer film, and relates to the technical field of high polymer material processing, and the method comprises the following steps: setting a target temperature interval of each polymer layer of the multilayer polymer film, and according to the melting characteristics, heat sensitivity and interface bonding requirements of each layer of material, setting a target temperature interval of each polymer layer of the multilayer polymer film; respectively determining an extrusion temperature set value and an allowable fluctuation range; through layered independent temperature control and preheating matching, thermal behavior synchronization of multiple polymer melts is achieved, and the interface bonding stability is improved; through a die head heat insulation and buffer structure, interlayer heat interference is effectively shielded, and the integrity of a functional layer is guaranteed; through the intelligent closed-loop temperature control system, the state of each temperature control area is predicted and adjusted in real time, and self-adaptive optimization of thermal control is achieved. And the co-extrusion quality, the consistency and the production intelligent level of the multi-layer film are integrally improved.

The invention discloses an assembly line and an assembly method for batch production of stacked micro-nano satellites, belongs to the technical field of batch production of satellites, and particularly relates to the assembly line and the assembly method suitable for batch production of the stacked micro-nano satellites. The problems that an existing satellite is low in production (assembly) efficiency, high in cost and long in period are solved. The method comprises the following steps: performing single-machine thermal control implementation and component assembly to form a single-machine component; cabin section assembling is conducted, and a complete cabin section module is formed; carrying out platform cabin closing to form a complete whole-satellite platform; butting the upper cabin and the lower cabin of the load to form a satellite in a middle state; and solar wing assembly is carried out to form a final whole satellite in a to-be-launched state. The assembly line for batch production of the stack type micro-nano satellites and the assembly method are suitable for batch production of the stack type micro-nano satellites.

The invention relates to a degradable surgical suture capable of self-constricting under the driving of near-infrared light and accelerating wound healing as well as a preparation method and application of the degradable surgical suture, and the degradable surgical suture capable of self-constricting under the driving of the near-infrared light is developed by virtue of a photo-thermal conversion effect of polydopamine on the basis of a thermal response characteristic of a shape memory material. And on the basis, a thermal control drug release system is endowed to the suture line to synergistically accelerate the wound healing process, and various suture problems confronted by the internal wound of the body are solved.

The invention provides a waste steam source high-temperature steam heat pump testing system based on heat energy cyclic utilization, and belongs to the field of compression heat pumps. The invention aims to solve the problems of unstable heat supply in a high-temperature lift, low energy efficiency of an evaporation end, poor temperature control effect of a low-level heat source side and limited thermal control means of an experimental platform. The system comprises a condenser, an expansion valve, a liquid storage tank, an evaporator, a compressor, a water spraying cooling tank, a steam pressure reducing valve, a circulating pump and a regulating valve, or a water mixing cooling tank and a heat supply liquid storage tank are additionally arranged, so that the dynamic balance and control of the temperature of the hot end of the system are realized; or a steam pressure reducing valve is replaced by a steam-water heat exchanger, so that heat exchange is carried out on condensed steam and working medium water to realize mild cooling, and redundant energy consumption is avoided; or a bypass adjustable shunting loop is arranged, so that partial high-temperature backwater bypass mixing is realized, and the thermal matching property and the operation stability of the system are enhanced. According to the invention, the output temperature of over 100 DEG C is realized, and the universality and debugging flexibility of experimental system design are realized.

The invention relates to the technical field of microcapsule encapsulation, and a novel preparation method is adopted to prepare microcapsule perfume. The microcapsule takes natural gelatin and paraffin as composite wall materials, a gradient structure is formed by optimizing the mass ratio (1: 2.5-1: 3.75), the gelatin provides mechanical support, and the paraffin endows hydrophobicity and thermal control release characteristics. Dissolving a solution in which the mass volume ratio of gelatin to water is (1: 2.5)-(1: 3) under an ultrasonic condition; mixing the molten paraffin with the liquid spice and the emulsifier to form an oil phase; the oil phase and the gelatin solution are mixed through magnetic stirring at the rotating speed larger than or equal to 800 rpm till the solid phase and the liquid phase are completely fused; after cooling and curing, separating to obtain the solid microcapsule. And when the temperature reaches the melting point (45-65 DEG C) of paraffin, the wall material is molten and quickly releases the perfume, and the slow release performance is excellent at normal temperature. The material is wide in application field and high in compatibility, and has the advantages of being green, safe, high in environmental stability and controllable in trigger release.

The invention discloses a semiconductor chip welding method and device, and the method comprises the steps: carrying out the thermal field scanning of a multi-layer stacked package, obtaining the overall thermal imaging data, and generating a thermal field partition diagram containing a plurality of independent thermal control partitions; performing pulse type backflow heating treatment on each independent thermal control subarea to obtain real-time temperature data; carrying out real-time molten state detection to obtain surface topography data and temperature distribution data; performing atmosphere switching treatment on the independent thermal control subareas in the cooling stage to generate atmosphere switching subareas; performing micro-cycle steady-state detection on the atmosphere switching subareas, and performing local reheating treatment on the abnormal atmosphere switching subareas to generate reheating subareas; and carrying out dynamic cooling treatment on the reheating subarea. According to the technical scheme provided by the invention, through combination of partitioned pulse backflow and real-time monitoring, the welding spot melting state in multi-layer stacked packaging is accurately controlled, and the incomplete backflow defect is effectively prevented.