804 results about "Thermal control" patented technology

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 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 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 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 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 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 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 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 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 an interventional therapy path planning system based on ultrasonic imaging, and relates to the technical field of interventional therapy systems.An image acquisition module acquires a two-dimensional or three-dimensional ultrasonic image of an operation area, and standardized input of image data is achieved; the structure identification module executes a medical image segmentation task based on the ultrasonic image and identifies a key anatomical structure in the image; the geometric modeling module constructs a three-dimensional space model according to the structure recognition result; the thermal simulation prediction module comprises a heat conduction simulation sub-module and a thermal parameter dynamic adjustment sub-module; the temperature feedback module reconstructs a three-dimensional temperature field image in the target tissue based on the tissue temperature feedback signal; the parameter updating module executes real-time updating of heat conduction parameters based on the residual error between the predicted temperature field and the observation temperature field collected by the temperature feedback module; the problems that in existing interventional therapy, thermal control precision is low, path planning depends on experience, and tissue dynamic changes are difficult to deal with are effectively solved.

An apparatus is used for drying and / or styling hair. The apparatus provides improved mixing of air from a heater using an impeller. A hinge is ergonomically positioned relative to the center of mass of the device. The housing is sealed to prevent ingress of water into the housing.

The invention discloses a high-temperature test method for a power semiconductor device, and relates to the technical field of quantum thermal control, and the method comprises the steps: collecting a temperature field and surface conductivity data of an edge region of the power semiconductor device in real time, and synchronously applying an electric stress of a specified working voltage to the power semiconductor device; an internal thermal displacement field is reconstructed based on the temperature field, a calibration thermal displacement field is generated, and the topological number of the edge area is calculated in combination with the surface conductivity data; generating a thermal failure risk distribution map according to the spatial position of the peak value of the thermodynamic entropy yield, and locking a high-entropy variable power dense region; and the electric stress applying direction is dynamically adjusted in association with the high-entropy variable power dense area, and a thermal failure diagnosis report is output after a full-period high-temperature test is completed. According to the method, submicron-level real-time positioning of the thermodynamic entropy generation peak value under the high-temperature working condition is achieved through collaborative mapping of the quantized calibration thermal displacement field and the tensor field of the classic temperature gradient.

The invention relates to a high-power water-cooling permanent magnet synchronous motor for engineering machinery, in particular to a high-efficiency heat dissipation motor system adopting a double-heat-pipe coupling cooling structure, which is characterized in that array flat heat pipes and high-speed working condition self-backflow rotating heat pipes are respectively integrated in a stator and a rotor, so that stator-rotor double-channel, phase-change and rapid heat conduction is realized; and the thermal control capability and reliability of the motor are improved. According to the motor, a plurality of ultrathin flat heat pipes are symmetrically arranged on the outer circle of a stator and are in one-to-one correspondence with winding notches, so that a rapid and efficient stator heat conduction path is formed; and meanwhile, the hollow rotating shaft made of sintered copper powder is designed into a rotating heat pipe structure, so that the heat of the rotor can be quickly transferred to the water-cooling casing through a bearing area, and the efficient cooling of the rotor assembly is realized. The double-heat-pipe structure constructs a stator and rotor independent heat dissipation channel through a phase change heat transfer mechanism, motor size constraint is not changed, temperature rise of windings and permanent magnets is remarkably reduced, heat balance and system stability are improved, and the double-heat-pipe structure is particularly suitable for high-load working conditions such as engineering machinery.

The invention discloses a PINN-based satellite load temperature prediction and thermal parameter correction method, which relates to the technical field of space thermal control, and has the technical key points that the prediction of a satellite load temperature field and the correction of thermal model parameters are realized by effectively combining known temperature information data and thermophysical knowledge by utilizing a thermophysical information neural network; according to the complete satellite load temperature prediction and thermal parameter correction method based on the PINN, the neural network and thermal physical prior information are combined, thermal model parameters which meet the physical law and are high in prediction precision are obtained, and a PINN model and a thermal simulation model which are used for accurately predicting the on-orbit / test temperature are obtained; and the thermal parameter correction efficiency and the temperature prediction accuracy are improved.

The invention provides a multi-physical field coupled roasted eel cooking degree prediction and real-time temperature control system and method. The system comprises a tunnel type oven, an image acquisition module, an image synchronization and fusion module, a carbonization identification module, a temperature correction module, a cooking degree prediction module, a partition temperature control adjustment module, a conveyor belt speed control module and a system controller. The system fuses hot air convection and infrared radiation to form a coupled thermal field, obtains multi-mode information of a fish body by combining visible light and infrared imaging, realizes thermal-optical field collaborative perception through image fusion, carbonization identification and temperature correction, constructs a deep cooking degree prediction model based on multi-source features, drives thermal control and dynamic adjustment of a conveying strategy, and realizes deep cooking degree prediction. The accurate evaluation of the cooked degree of the roasted eel and the active intervention of the carbonization trend are realized, and the roasting uniformity and the product consistency are obviously improved.

A semiconductor device includes a semiconductor die. The semiconductor die includes a substrate including at least one active component, an interconnect disposed over and electrically coupled to the at least one active component, and at least one first thermal control element disposed inside the interconnect and thermally coupled to the at least one active component. The at least one active component is surrounded by the at least one first thermal control element in a vertical projection along a stacking direction of the substrate and the interconnect.

The invention discloses a crack-free laser powder bed additive manufacturing method for gamma'reinforced nickel-based alloy, which comprises the following steps: firstly, preparing raw material alloy powder, and detecting the total content of Al and Ti elements in the alloy powder; then the powder is loaded into a forming bin, a layer of powder is quantitatively laid every time, a powder bed is scanned through laser, laser energy input and the scanning speed are controlled, the powder bed is rapidly melted and solidified, a layer of solid is formed, the layer height of the solid is 0.02-0.05 mm, and the higher the total content of Al and Ti elements in the alloy powder is, the smaller the layer height is; and after a layer of entity is formed, the forming substrate is controlled to descend by the height of a construction layer, a layer of powder is laid again, laser scanning is conducted again, and the steps are repeated till construction is completed. According to the method, a cooperative control strategy of thin-layer thermal control is adopted, nucleation and expansion of cracks are restrained by controlling the descending height of a formed substrate and controlling laser parameters, and the crack-free laser additive meeting the requirements is manufactured.

The invention relates to the technical field of thermal control of spacecrafts, and particularly provides a high-thermal-stability temperature control structure of a space camera main system, which comprises a first thermal insulation layer, a second thermal insulation layer, a third thermal insulation layer and a truss, and is characterized in that the first thermal insulation layer covers the inner wall of the space camera main system and has high solar spectrum absorptivity and high infrared spectrum emissivity; the second heat insulation layer wraps the outer wall of the space camera main system and has low solar spectrum absorptivity and low infrared spectrum emissivity; a truss is further installed on the outer side of the space camera main system in the circumferential direction, a third heat insulation layer is arranged on the truss, and the third heat insulation layer has the low solar spectrum absorption rate and the high infrared spectrum emissivity. The multi-stage thermal insulation structure is utilized to improve the inhibition capability of the camera main system temperature control structure on the influence of the external thermal environment, and the influence of external heat flow change on the temperature stability of the camera main system is effectively reduced.

The invention discloses a single-phase immersion battery intelligent thermal management control method and device for an energy storage power station, and relates to the technical field of battery thermal control. The intelligent thermal management control method and device for the single-phase immersed battery for the energy storage power station comprises the steps that S1, battery state data and external environment data in the operation process of the energy storage power station are collected and preprocessed, and a standardized thermal state data set is constructed; s2, performing working condition evaluation on the current working condition state by combining the battery heat flow density, and dynamically adjusting the flow direction of the cooling liquid; s3, the current heat exchange load and the phase state safety boundary are comprehensively analyzed, and the valve opening degree is driven to change; and S4, carrying out stability evaluation on the local thermal stability, and adjusting a power supply loop safety response strategy in real time. The problems that a traditional heat management system lacks the bidirectional regulation and control capacity for coping with wide-temperature-range extreme climate and cannot give consideration to the collaborative requirements of high-temperature heat dissipation and low-temperature heat supply, and consequently system structure redundancy, energy consumption increase and operation and maintenance complexity are caused are solved.

The invention discloses a method for testing a special ground thermal control equivalent device applied to a flat plate type satellite. The method comprises the following steps: providing an equivalent device, and a temperature measurement interface J1, a network interface J2 and a control interface J3 which are connected with the equivalent device; the whole satellite is powered on by a ground ATE power supply or a solar simulation square matrix; the equivalent device, the temperature measurement interface J1, the wire network interface J2 and the control interface J3 are used for carrying out a whole satellite temperature telemetering test and a thermal control state and thermal control instruction test; confirming the off-state of a whole-satellite heater and de-electrifying the whole satellite; after the equivalent device is accessed, the semaphore completes the uplink and downlink of a thermal control telemetering remote control instruction and the processing and forwarding of test data through the management server, the launch console and the intelligent test equipment, so that the function test of the thermal control subsystem in a desktop joint test stage is realized, and the system and the method can be applied to the analog signal access of a flat plate type satellite.

The invention discloses a grey wolf algorithm flue gas waste heat control method and system introducing exhaust gas temperature prediction constraint, and the method comprises the steps: firstly building a thermodynamic simulation model of a flue gas waste heat system, collecting the working condition data of a unit in real time, and calibrating the model; under the targets of power supply coal consumption minimization, waste heat recovery rate maximization and the like, an exhaust gas temperature prediction result is used as a dynamic constraint, a grey wolf optimization algorithm is adopted to carry out multi-target optimization on parameters such as the opening degree of a flue gas baffle, the water supply distribution proportion of an economizer and the water flow of an air heater, and multiple regression or a BP neural network model is utilized to predict the exhaust gas temperature. If the predicted value is lower than the safety lower limit, dynamically adjusting the search direction to avoid an infeasible solution; and an optimization result is issued on line through a DCS system, and closed-loop control is realized. Compared with the prior art, on the premise that the safety of the exhaust gas temperature is guaranteed, the waste heat utilization rate is remarkably increased, power supply coal consumption is reduced, the capacity of adapting to different coal qualities and load fluctuations in a self-learning mode is achieved, and the good engineering application prospect is achieved.

The invention relates to the technical field of active phased-array antennas, in particular to a high-integration low-profile missile-borne phased-array antenna, which comprises an integrated front-end module, an integrated composite cold plate, a power supply and wave control module and a radio frequency comprehensive processing module, the integrated front-end module, the integrated composite cold plate, the power supply and wave control module and the radio frequency comprehensive processing module are arranged in a stacked mode from top to bottom in a tile type framework, the integrated front-end module and the power supply and wave control module conduct heat to the integrated composite cold plate, and the radio frequency comprehensive processing module is installed on the power supply and wave control module. And the heat is indirectly conducted to the integrated composite cold plate. The design of isomorphic integration and heterogeneous layering is adopted, the system integration degree is improved, and the electromagnetic compatibility risk is reduced; a structural and thermal control multifunctional integrated design is adopted, so that low profile, high reliability and high stability are realized; meanwhile, an integrated composite cold plate capable of passing liquid and storing energy in a phase change mode is adopted, and the cold plate has the active heat dissipation capacity and the passive heat dissipation capacity at the same time.