2073 results about "Thermal coupling" patented technology

The invention discloses a wind-light-hydrogen multi-energy complementary system cooperative operation optimization and comprehensive benefit evaluation method, which relates to the technical field of electric energy storage, and comprises the following steps: constructing a hybrid power flow model containing electricity, hydrogen and heat coupling, taking whole life cycle cost and new energy consumption as double targets, introducing grid-connected and off-grid risk constraints, and optimizing equipment capacity configuration; a scheduling baseline and an intra-day dynamic correction strategy are formulated in the day-ahead stage, and hybrid energy storage cooperative control is combined to improve the response speed and flexibility of the system to wind and light fluctuation; a peak regulation and frequency modulation mode is switched according to the power grid state, a power response model is established, fluctuation is stabilized through hydrogen energy storage, the stability of the power grid is enhanced, and auxiliary service benefits are created; the performance of the system is evaluated from the three dimensions of efficiency, economy and interactivity, dynamic weight and Monte Carlo simulation optimization are utilized, system parameters are continuously optimized through a feedback mechanism, and the self-evolution ability is formed. The problem that system instability and economy are difficult to take into account due to wind and light fluctuation is solved.

The invention relates to the technical field of temperature control, and discloses a temperature error compensation method and system for a multi-heating-section coffee maker, and the method comprises the steps: synchronously collecting the real-time temperature value of each heating section, and calculating a temperature error index; constructing a thermal coupling interference model based on the physical distance between adjacent sections and the heat conduction characteristic of the medium; generating a dynamic decoupling compensation parameter according to the model and the error index (including constructing a symmetric interference matrix, calculating a coupling interference component, applying negative feedback and identifying a main interference component); a decoupling parameter is converted into a power adjustment instruction through a multivariable control algorithm (superposition of basic compensation and decoupling compensation, amplitude limiting and phase compensation); and heating output is updated according to the power instruction, and iterative execution is performed based on the error index change trend until the temperatures of all sections reach steady-state balance. The method can effectively model and compensate thermal coupling interference between sections, improves the efficiency of temperature error compensation, and achieves the quick and stable cooperative temperature control of multiple sections.

A method for implementing nuclear-thermal coupling based on the DeepM&Mnet neural network is disclosed; the proposed nuclear-thermal coupling implementation method comprises the following steps; first construct DeepM&Mnet neural network inclusive of numerical solvers for the material temperature and neutron physics fields; then the DeepM&Mnet neural network is trained by utilizing physics constraints of the numerical solvers for the material temperature and neutron physics fields; finally, the formation of the network loss function is adjusted based on the training results to achieve nuclear-thermal coupling simulation; according to the method, a numerical solver for material temperature and neutron physics fields, or a deep operator network (DeepONet) is applied for fitting a numerical solution process, and a DeepM&Mnet is constructed on the basis.

The invention relates to the technical field of chip testing, in particular to a chip aging test and analysis method, which comprises the following steps of: constructing an aging parameter matrix containing process deviation, electrical parameters and thermodynamic parameters on the basis of fusion of wafer level and packaged test data, multi-stress cooperative loading is realized through a programmable power supply and a multi-zone temperature control array, transient electric signals, thermal imaging data and leakage current frequency spectrums are acquired in real time, an electrical-thermal coupling coefficient and a process deviation sensitivity factor are extracted in a cross-dimension manner, a non-linear recession model is established, differential aging paths of chip functional blocks are evaluated, and the reliability of the chip functional blocks is improved. And based on the dynamic life prediction model and a fault early warning mechanism, generating and executing an adaptive test optimization strategy to realize early prediction and stress adjustment of multiple failure modes. According to the invention, the efficiency and accuracy of the aging test can be obviously improved, and technical support is provided for high-reliability evaluation of deep submicron and post-mole times of chips.

The invention discloses an inverter intelligent control method based on a self-adaptive algorithm, and relates to the technical field of inverter intelligent control, and the method comprises the steps: multi-source temperature collection and environment recognition, machine learning-based electric-thermal coupling prediction, self-adaptive inverter parameter optimization, and cooperative thermal management and fault diagnosis self-repairing. According to the high-temperature or low-temperature failure risk of the motor and the inverter under the extreme climate, temperature distribution and load information are obtained in real time, the temperature rise trend is predicted in advance, and the current, voltage and modulation strategy of the inverter are actively adjusted, so that safe derating or torque compensation is achieved; multi-sensor cross validation and observer fusion are carried out when sensors drift or devices are aged, stable operation and efficient energy utilization of the system are kept, and the drivability and the whole vehicle reliability in an extreme environment are remarkably improved; in the process, fault diagnosis and self-repairing can be further improved through online model updating, and the durability and economical efficiency of the electric drive system are improved.

The invention provides a control method and system for a surface shape of an optical device, and the method comprises the steps: carrying out the initial grinding and polishing of the optical device, carrying out the real-time detection through a multi-frequency-band stress detector, obtaining the stress distribution and surface wave front data, and obtaining an initial detection result; a phase shift interferometer and a composite laser confocal probe are used to carry out depth surface shape measurement based on the initial detection result, and adaptive finishing is carried out on an abnormal area to obtain a surface shape finishing log; according to the initial detection result and the finishing log, executing step-by-step load irradiation and stress tracking, and collecting surface shape change under photo-thermal coupling to obtain surface shape evolution information; and according to the surface shape evolution information, performing partition dynamic compensation and real-time detection until a surface shape control result meeting requirements is obtained. According to the method, secondary deformation caused by internal stress release is recognized and corrected through combination of multi-frequency-band stress detection and high-precision interference measurement, high-precision control over the surface shape of the optical device is achieved, and the method is suitable for scenes with high requirements for the surface shape of the optical element.

The invention relates to the technical field of power distribution, and discloses a power distribution method and system for a liquid cooling string PCS energy storage converter, and the method comprises the steps: constructing a multi-dimensional state matrix of each energy storage unit in the liquid cooling string PCS energy storage converter; establishing a thermal coupling model among the energy storage units according to the temperature parameters in the multi-dimensional state matrix, and constructing a temperature constraint projection mapping function; constructing a power optimization objective function considering the thermal coupling effect; calculating temperature change caused by disturbance through a thermal coupling model to obtain a temperature sensitive gradient vector; the power distribution weight of each energy storage unit is dynamically adjusted, and when the iteration change value of the power optimization objective function is smaller than a preset threshold value and the thermal coupling model is stable, a target power distribution strategy is output, collaborative optimization of power distribution and temperature control is achieved, the problem of thermal interference between the energy storage units is effectively solved, and the reliability of power distribution and temperature control is improved. And the overall operation efficiency of the liquid cooling string PCS energy storage converter is obviously improved.

The invention discloses a ternary internet-of-things battery management system, particularly relates to the technical field of lithium battery management, realizes lithium battery thermal safety closed-loop management through multi-sensor fusion, and comprises the following steps: deploying a digital sensor array to obtain time-space associated data; constructing a spatio-temporal feature vector including fusion of a local temperature gradient, a neighborhood temperature gradient and a stress coupling ratio; a density clustering algorithm is adopted to dynamically divide spontaneous heating, radiant heat and stress coupling clusters, and cluster boundaries are updated in real time; calculating a dual thermal coupling coefficient based on a clustering result, and eliminating the interference of temperature reading through a dual temperature compensation formula; a three-level alarm mechanism of a radiant heat proportion, a stress coupling degree and a compensation error is established, a side gateway is linked to realize parameter adaptive optimization, and the thermal runaway early warning precision and the structural failure detection rate are improved; strain monitoring resource optimization is realized through physically-driven key point screening and dynamic graph neural network prediction.

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

The invention relates to the technical field of power equipment state monitoring, in particular to a lightning arrester state monitoring method, system and equipment based on multi-physics field coupling and a storage medium. Acquiring current-voltage characteristic parameters, temperature distribution data and mechanical stress data of the lightning arrester, performing electro-thermal-mechanical coupling analysis based on multi-physical field monitoring data, identifying overlapping positions of an electric field distortion area, a temperature abnormal area and a stress concentration area, and determining the overlapping positions as a degradation key area; establishing a correlation response relationship between the leakage current and the temperature and a transfer response relationship between the temperature and the mechanical stress for the deteriorated key area; on the basis of the leakage current change trend of the degradation key area and the coupling influence of the superimposed temperature field and stress field, a degradation feature fusion factor is constructed, the evolution law of the degradation feature fusion factor in the time sequence is analyzed, and the degradation threshold value under the multi-field synergistic effect is determined in combination with the electric-thermal coupling acceleration effect and the thermal-mechanical coupling weakening effect.

The invention belongs to the technical field of connectors and discloses a design method for a low-loss cable connector without resonance points, comprising: designing a spiral gradient groove structure on the surface of an inner conductor based on the impedance continuity principle, establishing a composite gradient impedance theoretical model of the connector, constructing a dielectric constant gradient distribution model of a double insulating layer, and setting a transition function between an inner layer and an outer layer; solving the S parameters and electric field distribution of the connector through electromagnetic-thermal coupling finite element simulation, optimizing the spiral angle θ and the gradient index n, establishing a quantitative model of the surface roughness of the conductor and high-frequency loss, and determining a threshold range of the surface roughness through calculation of the quantitative model; performing global optimization of structural parameters based on a multi-objective genetic algorithm, outputting a theoretical design parameter set and a report collection of performance verification, eliminating the resonance point problem of traditional connectors, and providing excellent low-loss performance in the full frequency band, which is particularly suitable for high-frequency and high-power transmission environments.

The invention provides a cross-seasonal heat storage coupling solar ground source heat pump combined heating system. The cross-seasonal heat storage coupling solar ground source heat pump combined heating system mainly comprises a solar heat collector, a valve, a heat storage water tank, a heating tail end, a buried phase change heat storage water tank, a buried pipe and a heat pump. Solar radiation heat in non-heating seasons is collected and stored through cross-seasonal heat storage, and the stored heat is extracted in the heating period in winter and is used for heating a building together with a solar ground source heat pump combined heating system. The system has the beneficial effects that the system efficiency is improved, and the use of thermal insulation materials is reduced, so that the cost is reduced; the buried pipe absorbs and inhibits heat diffusion of the heat storage water tank, heat balance of a soil temperature field around the buried phase change heat storage water tank is guaranteed, and efficient operation of a heat pump unit is maintained. The invention has six control methods: solar energy-soil heat storage, solar energy direct heating, solar energy coupling buried phase change heat storage water tank heating, buried phase change heat storage water tank direct heating, solar energy ground source heat pump combined heating and ground source heat pump independent heating.

The invention relates to the technical field of integrated energy micro-grid scheduling optimization, and discloses an improved TD3 algorithm-based electricity-hydrogen-heat integrated energy micro-grid optimization scheduling method, which aims at minimizing the sum of the environmental cost, the equipment life loss cost and the large power grid interaction cost, and uses the improved TD3 algorithm to optimize the power-hydrogen-heat integrated energy micro-grid scheduling optimization. The optimization scheduling strategy of the electricity-hydrogen-heat comprehensive energy microgrid system is researched, a hydrogen energy storage mathematical model is constructed, the electrothermal coupling characteristic between the hydrogen energy storage system and the microgrid is explored, the optimization scheduling process of the microgrid is converted into a Markov decision process, and an experience playback mechanism is introduced to improve the algorithm performance. According to the method, the environmental friendliness and the scheduling strategy solving speed of the micro-grid energy storage system are improved, and the solving speed of the optimal scheduling strategy is accelerated by using the improved priority experience playback reinforcement learning algorithm.

A heat transfer device may be used to provide a thermal conduit from heat generating components mounted on transversely oriented circuit boards. The heat transfer device generally includes a base portion for supporting and thermally coupling with at least one heat generating component on a main circuit board and a transverse portion for supporting and thermally coupling with at least one heat generating component on a daughter circuit board that is oriented transverse to the main circuit board. The base and transverse portions may be made of a thermally conductive material with raised pedestals providing the thermal coupling with the heat generating components. The transverse portion of the heat transfer device may also be designed to facilitate connecting the daughter circuit board to the main circuit board. The heat transfer device may be used in an opto-electronic communications module, such as a broadband digital access (BDA) module used in a hybrid fiber-coaxial (HFC) network.

The invention relates to the technical field of electric digital data processing, in particular to a display process temperature management optimization system which comprises a data acquisition module, a dynamic modeling module, a cooperative compensation module and an early warning module. The data acquisition module acquires temperature data of a heating area through a multi-type temperature sensor array, and generates a temperature field matrix with a confidence label through multi-source verification; the dynamic modeling module receives the matrix, operates a plurality of machine learning algorithms in parallel to generate a thermal coupling strength distribution diagram, and outputs a region coupling coefficient and a confidence coefficient thermodynamic diagram; the cooperative compensation module calls knowledge base strategies in a layered mode according to the thermodynamic diagram and feeds back early warning signals when abnormity is detected. According to the system, a cross-module closed-loop control mechanism is formed through confidence label driving algorithm weight distribution, confidence thermodynamic diagram control strategy priority, abnormal signal triggering model reconstruction and knowledge base updating, and millisecond-level cooperative suppression of the thermal crosstalk effect of multiple heating areas is achieved.

The invention discloses a soft start control method for intelligent temperature control of a glue injection mold, and particularly relates to the technical field of glue injection molds. Initial temperatures of a plurality of heating areas of the mold are collected, and a temperature distribution model is constructed; calculating a thermal inertia score value based on the thermal response characteristic and the thermal capacity parameter of each region; predicting temperature rise rates of different areas by using the thermal inertia score value, the thermal coupling degree abnormal value and the historical control deviation frequency, and setting differentiated soft start amplitude limiting parameters; temperature feedback is collected in real time in the heating process, a temperature rise rate error sequence is constructed, and the future deviation risk is predicted through the dynamic Bayesian network; when the risk value exceeds the limit, the PWM duty ratio or the conduction angle of the heating area is dynamically corrected, and power output self-adaptive adjustment is achieved; the method has the advantages of being high in predictability, accurate in response and intelligent in control, and is suitable for high-precision heating control application of the complex glue injection mold.

The invention relates to the technical field of fault diagnosis, in particular to a fault self-diagnosis system and method for a high and low temperature aging test chamber of a storage chip and computer equipment. The temperature control abnormal index is obtained through the data of the temperature control system sensor, early warning can be performed when the temperature control system has abnormal fluctuation, the performance evaluation basis of the air circulation system is provided by the air system efficiency coefficient, the heating efficiency and the refrigeration coefficient are obtained through the data of the heating and refrigerating system sensor, and the performance of the heating and refrigerating system is evaluated. An electrical stability index is obtained through data of a test system sensor, the operation stability of an electrical system is evaluated, the stability of the electrical system is detected in time, and a fault probability index is obtained through a system entropy increase rate, the electrical stability index, a thermal coupling factor, a wind system efficiency coefficient and a temperature control abnormal index. Therefore, the stability and the reliability of the equipment can be improved, the maintenance cost can be reduced, the use efficiency of the equipment is improved, and the accuracy and the safety of test results are ensured.

The invention discloses a CPLD-driven IGBT short-circuit current dynamic monitoring method and system, and relates to the technical field of power electronics, and the method comprises the specific steps of S100 real-time data acquisition, S200 dynamic threshold calculation, S300 short-circuit state judgment, S400 rapid protection execution, and S500 fault data recording and uploading. Accurate and prospective judgment of the short circuit state of the IGBT is achieved, two stress parameters including the direct-current bus voltage and the junction temperature serve as independent variables, when the bus voltage rises, the voltage stress borne by the IGBT in the turn-off period is increased, meanwhile, the current peak at the short circuit moment is more remarkable, early warning is conducted in advance by dynamically lowering the threshold value, and therefore the short circuit state of the IGBT is accurately judged. According to the mechanism, the monitoring system does not simply respond to the occurred overcurrent, but can pre-judge the safety boundary of the device under the current working condition, so that intervention is implemented before the current really reaches a dangerous peak value, and a protection blind area under a severe working condition is effectively avoided.

Disclosed in the present invention is a physics-informed neural network-based thermo-mechanical coupling analysis method for an inertial microsystem, the method comprising: S1, configuring material parameters and boundary conditions of an inertial microsystem, and establishing a thermo-mechanical coupling analysis model; S2, performing electro-thermal coupling analysis to obtain a temperature distribution of the inertial microsystem; S3, performing thermo-mechanical coupling simulation analysis to obtain a thermal stress distribution of the microsystem; S4, predicting temperature fields of the microsystem by means of a physics-informed neural network; S5, using the temperature fields as boundary conditions for mechanical simulation of the microsystem, obtaining mechanical properties such as stress and strain of the microsystem; and S6, performing electromechanical coupling simulation analysis to analyze the impact of structural deformation on various parameters of electrical performance. The present invention improves the solution accuracy of the neural network by means of an improved adaptive weighting strategy, combines a complete polynomial basis function with the neural network, and introduces an expanded basis function to reduce the state dimensionality, thus reducing computational costs and time, achieving accurate prediction of temperature fields of microsystems at multiple moments, and allowing for computation of the performance of microsystems under electro-thermal-mechanical multi-physics coupling.

The invention belongs to the technical field of hypersonic flight vehicle design, and discloses a design method for a thermal experiment model of a front body and an air inlet channel of a high-speed wind tunnel. The design verification method comprises the following steps: determining an overall structure and design requirements; determining a heating structure; determining a pressure measuring point and a temperature measuring point; determining an independent temperature control adjusting device; verifying the influence of the heat insulation groove on temperature gradient distribution; verifying the heat insulation effect of the heat insulation measures; model structure deformation generated by temperature is investigated; obtaining a heat flux density and surface temperature relation curve; the influence of model structure deformation on the flow field is studied. The design verification method proves that the precursor of the high-speed wind tunnel and the air inlet duct thermal experiment model have accurate temperature control and thermal insulation protection capabilities, and verifies the obvious influence of wall temperature change on the flow field structure; the aerodynamic thermal coupling effect can be effectively reproduced, a hypersonic air inlet heat-flow coupling experimental platform is established, and the experimental platform has engineering practical value.

The invention belongs to the technical field of intelligent home control, and particularly relates to an electric blanket intelligent temperature control system, which analyzes the matching relationship between the heating power and the temperature response in the historical operation cycle of a plurality of independent subareas of an electric blanket, fuses the thermal coupling effect between the subareas, and independently quantifies the dynamic thermal inertia parameter of each subarea. Based on the independent temperature change trend and the real-time temperature deviation of each partition, a control state including a steady state, a transient state or a strong compensation state is decided and maintained for each partition, the dynamic thermal inertia parameter, the real-time temperature deviation and the current control state are integrated, differentiated feed-forward compensation amounts are generated and superposed to the output of a PID controller of the corresponding partition, and the control state of the corresponding partition is calculated. A final power control instruction is generated after amplitude limiting and smooth filtering, temperature response lag caused by thermal inertia is actively predicted and counteracted, precise control is achieved in combination with partition state recognition, and the system response speed and control stability are remarkably improved.

Provided in the present invention are a three-phase flow and heat transfer coupling simulation method and system based on an IBM-VOSET-DEM. The method comprises: determining a computational domain and dividing the grid of the computational domain; initializing parameters; reconstructing a liquid-liquid interface; determining a fluid volume fraction at an (n+1)th moment; determining a boundary grid, and determining a signed distance function of a grid cell at an nth moment; determining an interface curvature of the grid cell of the interface; smoothing abruptly changing physical quantities of the interface; determining the surface tension of the interface; determining a fluid intermediate velocity; obtaining fluid volume fractions and fluid intermediate velocities of all of the grid cells in the computational domain; determining the velocity of a particle; determining the displacement of a pth solid particle at the (n+1)th moment and a solid volume fraction of the grid cell at the (n+1)th moment; determining the final velocity of the computational domain at the (n+1)th moment; and solving for a temperature and an interface heat flux density. In the present invention, a DEM soft-sphere model is used to calculate a collision force of a solid, such that microscopic motion information of a solid particle can be accurately obtained and tracked; and an interface heat flux density model is used to take the conjugate heat transfer effect of an interface into consideration.

The invention relates to the technical field of cable aging diagnosis, in particular to a cable aging diagnosis monitoring method and system. The method comprises the following steps: acquiring cable operation log data and cable internal structure design data, extracting a cable structure distribution condition in combination with an operation log, and evaluating cable operation state data; electric power sudden demand characteristics are identified, and then a non-uniform thermal coupling unbalance state is determined; based on the thermal coupling unbalance and the operation state data, detecting the coupling failure condition of the cable multilayer structure, and further judging the structural integrity damage condition; deducing a load stability disintegration situation according to a structure damage and insulation strength reduction trend; further detecting the decline of the quality of transmitted electric energy, analyzing the increase degree of abnormal voltage fluctuation, and identifying the fatigue trend of the metal material of the cable; through the above cable aging diagnosis, the cable aging diagnosis data is output. According to the cable aging diagnosis method and device, cable aging diagnosis is diagnosed, so that cable aging diagnosis is more accurate and efficient.

The invention discloses a modularized distributed cold region hydrothermal coupling hydrological model which comprises the following steps: S1, dividing a drainage basin into a plurality of grids, and preparing a file required by a confluence process; s2, preparing driving data and grid feature description data of each grid; s3, calculating an energy balance process of the soil and vegetation surfaces by using an energy balance module; s4, calculating an evapotranspiration process by using an evapotranspiration module; s5, calculating an ice and snow melting process by using an ice and snow melting water module and adopting a degree-day factor method; s6, calculating soil moisture infiltration and an internal hydrothermal transmission process by utilizing a soil hydrothermal transmission and infiltration module; s7, calculating the runoff volume by using a runoff production calculation and confluence module; and S8, evaluating the simulation performance of the model through the model evaluation index. The device has a flexible modular structure, can automatically adjust the time step length, improves the simulation capability of the runoff process in the cold region, and can provide scientific guidance for water resource management in the river source region.

The invention provides a fused salt heat storage coupled compressed air energy storage cooperative power generation system and a control method thereof.The fused salt heat storage coupled compressed air energy storage cooperative power generation system comprises a data acquisition module, a multi-target optimization decision algorithm based on dynamic programming, an energy distribution module, a dynamic adjustment module and a safety protection module; a multi-objective optimization decision algorithm based on dynamic programming automatically switches system working modes, an energy distribution module optimizes fused salt and air flow of a high-temperature fused salt air heat exchanger, and a dynamic adjusting module adjusts fused salt pump flow, compressor rotating speed and valve opening in real time. And the safety protection module is used for monitoring and preventing over-temperature, fused salt solidification and pipeline corrosion. The problems that in the prior art, a fused salt heat storage type photo-thermal power generation system is insufficient in heat storage capacity under the extreme weather condition, a compressed air energy storage system depends on fossil fuel, the afterburning efficiency is low, and the energy loss is caused due to the low system coupling degree can be effectively solved.

A mobile phone may include an enclosure. The enclosure may include a front cover, a rear cover, a housing segment coupled to the front cover and to the rear cover and including a first wall section defining at least a portion of a first side exterior surface of the mobile phone, a second wall section defining at least a portion of a second side exterior surface, and a chassis section extending between the first wall section and the second wall section. The mobile phone may further include a circuit board assembly thermally coupled to the chassis section at a thermal coupling region of the chassis section, the chassis section defining a thermal path extending from the thermal coupling region to the first wall section, and a through-hole positioned in the thermal path and configured to interrupt a flow of heat from the circuit board assembly to the first wall section.

The invention discloses a multi-modal imaging method and system based on acoustic-thermal coupling, and relates to the field of artificial intelligence, and the method comprises the steps: firstly obtaining thermal radiation data and ultrasonic reflection data of a target equipment region, and obtaining thermal radiation embedded features and ultrasonic embedded features through feature representation learning; performing multi-stage compensation on the thermal radiation embedding characteristic to generate a thermal field compensation reference characteristic of each stage; synchronously carrying out equal-stage multi-stage compensation on the ultrasonic embedded features, coupling the ultrasonic compensation result of the previous stage with the thermal field reference features of the corresponding stage between every two continuous stages of compensation, and combining the ultrasonic embedded features and coupling output in the later stage of compensation; and finally, performing imaging by using the acoustic-thermal coupling characteristics after multi-stage compensation to obtain an acoustic-thermal coupling imaging result fusing the thermal distribution characteristics of the target equipment region and the ultrasonic reflection spectrum characteristics. According to the method, deep fusion of acoustic and thermal information is realized through multi-stage feature compensation and dynamic cross-modal coupling, and the comprehensiveness and accuracy of equipment area detection are improved.

The invention discloses a pressure storage and heat storage coupled regenerative heat pump power storage system and a regulation and control method thereof. The system is composed of an electric-power generation integrated unit, an energy storage compression and energy release expansion integrated unit, an energy storage expansion and energy release compression integrated unit, a high-temperature heat exchanger, a backheating heat exchanger, a cold energy absorption heat exchanger, a heat storage and cold storage storage tank, a high-pressure gas storage tank and the like. And an energy storage / energy release loop, a heat storage / heat release loop, a cold storage / cold release loop and a pressure heat coupling loop are formed by connecting pipelines. In the energy storage mode, the compressor unit is driven by electric energy to conduct multi-stage compression, and compression heat and expansion cold are stored in the high-temperature storage tank and the low-temperature storage tank correspondingly. In the energy release mode, the heat storage medium and the cold storage medium are sequentially released to supply heat or cold to the circulating working medium, and the expansion unit is driven to drive the generator to generate electricity. According to the method, bidirectional operation of energy storage and energy release is achieved through valve switching and circulation control, and power output and load change are adjusted within a second level through a pressure-heat coupling mechanism.

The invention discloses a multivariable self-adaptive collaborative optimization control system and method for a high-alkali coal boiler, and relates to the technical field of high-alkali coal boiler optimization control, the system is based on real-time operation data acquisition and multi-working-condition state recognition, and dynamic evaluation and collaborative adjustment of combustion heat transfer and physical coupling effects are achieved; by collecting a first data set, a second data set and a third data set, a high-alkali coal quality and load mapping relation is constructed, and a multi-working-condition state label is output; based on the label, the multivariable cooperative adjustment module calculates a combustion heat transfer coupling coefficient and performs efficiency judgment; the physical coupling effect evaluation module evaluates the boiler internal structure risk; and the dynamic control optimization module integrates multiple indexes to realize control response optimization. According to the system, through threshold value judgment and strategy feedback, the combustion efficiency of the high-alkali coal boiler is improved, structural safety guarantee and dynamic regulation and control optimization are achieved, and the operation stability and economical efficiency of the high-alkali coal boiler are remarkably improved.

The invention relates to the technical field of data processing, and provides a dynamic load test method and device for a chiplet, and the method comprises the steps: collecting transient heat flux data generated by the chiplet in a multi-frequency load switching process to generate a thermal dynamic behavior map, calculating a thermal coupling interference index map according to the thermal dynamic behavior map, and carrying out the testing of the dynamic load of the chiplet according to the thermal coupling interference index map. And inputting the thermal coupling interference index diagram into a preset thermal stability mapping matrix, and generating a small chip dynamic load behavior evaluation parameter group. By inputting the transient heat flux data into the preset thermal stability mapping matrix to generate the small chip dynamic load behavior evaluation parameter group, the thermal stability and the overall performance of the small chip are improved, and the problem that in practical application, the prior art depends on single thermal monitoring data, and thus the reliability of the small chip is improved is solved. And when the load switching frequency is relatively high or the load disturbance is relatively large, the potential thermal coupling interference and the influence of the potential thermal coupling interference on the system performance cannot be accurately identified.