155 results about "Steady state temperature" patented technology

The invention discloses a cable hot-spot temperature identification method and device, terminal equipment and a storage medium. The method comprises the following steps: acquiring a steady-state temperature field reduced-order model, a cable surface temperature monitoring value and a ground surface temperature monitoring value of a power distribution network cable; obtaining an initial equivalent current based on a preset parameter space; taking the initial equivalent current as input, repeatedly executing an equivalent current iteration adjustment operation through a cable surface temperature monitoring value and a steady-state temperature field reduced-order model, stopping executing the equivalent current iteration adjustment operation when residual data is smaller than a residual threshold or the number of iterations is equal to an iteration threshold, and outputting a final iteration equivalent current; and inputting the iterative equivalent current and the surface temperature monitoring value into the steady-state temperature field reduced-order model to obtain a cable internal transient temperature field reconstruction result of the power distribution network cable. According to the invention, cable current changing in real time does not need to be monitored, the internal temperature field of the cable can be reconstructed only by monitoring the surface temperature of the cable, and the simulation accuracy of the cable temperature field is improved.

The invention relates to the technical field of industrial computer heat dissipation, in particular to an industrial computer memory and storage collaborative heat dissipation system which is used for solving the problems that in the prior art, temperature distribution modeling and state evaluation cannot be achieved, thermal state categories cannot be divided by integrating a temperature threshold value and an operation state, and the equipment health judgment accuracy is reduced. According to the invention, a temperature control monitoring module constructs a thermal field model by using operation state and thermal behavior data, divides hardware units, establishes a heat conduction path, realizes temperature distribution modeling and state evaluation, calculates thermal power density through standardized parameters, and solves steady-state temperature by using a numerical method in combination with boundary conditions and a cooling model. Structured temperature information is output, a temperature threshold value and an operation state are integrated to divide thermal state categories, and the equipment health judgment accuracy is improved.

The invention discloses a cable temperature simulation model construction method and system based on multi-field coupling, and relates to the technical field of multi-physical field coupling simulation and tunnel cables, and the method comprises the steps: constructing a three-dimensional geometric model based on actual cable structure parameters and cable tunnel three-dimensional scanning data; physical field parameters are set for all layers of materials of the cable and peripheral media of the tunnel, boundary heat dissipation conditions are defined, two-dimensional grid division is conducted on the model according to the axial symmetry characteristic of the cross section of the cable, processing frequency load current excitation is applied, electromagnetic field distribution is solved, and a three-dimensional steady-state temperature field control equation is constructed; and solving three-dimensional temperature distribution of the cable and tunnel environment, establishing a bidirectional coupling relationship between an electromagnetic field and a temperature field, and iteratively updating Joule loss power and temperature field distribution by dynamically adjusting conductor conductivity until a convergence condition is met. According to the invention, real-time monitoring and early warning of the temperature along the cable are realized, and detection and response at the initial stage of a fault are ensured, so that the operation safety and reliability of a power system are improved.

The invention discloses a closed space temperature rise evaluation method and device for a Stirling cylindrical linear motor. The method comprises the following steps: building a motor model; obtaining a fluid domain model of the closed space according to the motor model; performing CFD simulation according to the fluid domain model to obtain a convective heat dissipation coefficient; acquiring loss and heat generation rate of the heat source part; obtaining a first model according to the motor model, the fluid domain model and the loss and heat generation rate; performing steady-state thermal simulation according to the first model based on a first condition to obtain steady-state temperature distribution; the first condition comprises removal of convection heat dissipation of a cylindrical linear motor and a fluid domain contact surface; importing the convective heat dissipation coefficient into the first model to obtain a second model; and taking the steady-state temperature distribution as initial temperature distribution, performing transient thermal simulation according to the second model, and taking a simulation result as initial temperature distribution of transient thermal simulation of a next time step until calculation of a preset maximum time step is completed, so as to obtain the running temperature rise of the motor.

The invention discloses a glue supply integrated processing system, comprising: a heating module for performing dynamic temperature control on glue; the constant-temperature stirring system is connected with the heating module and is used for realizing bidirectional mixing of glue under a constant-temperature condition; the heat-preservation glue storage tank is communicated with the constant-temperature stirring system and is used for stably storing the glue and maintaining the temperature; the intelligent glue supply device is connected with the heat preservation glue storage tank and used for self-adaptive quantitative output of glue; the central control system integrates a temperature sensor, a pressure sensor and a flow sensor. A heating module adopts a PID algorithm and a spiral flow guide circulating water path, the heat exchange efficiency is improved to 85% or above, the glue heating rate reaches 5 DEG C / min, the steady-state temperature fluctuation is smaller than or equal to + / -0.3 DEG C, and the energy consumption is reduced by 25% compared with that of traditional resistance wire heating. The temperature fluctuation in the heat preservation glue storage tank can be maintained to be smaller than or equal to + / -0.3 DEG C at the environment temperature of-10 DEG C to 50 DEG C through the vacuum heat insulation layer and the self-adaptive temperature compensation unit, and the storage stability of glue is remarkably improved.

The invention provides an electrical equipment overheating hidden danger early warning method and system based on unmanned aerial vehicle multi-spectral imaging, and belongs to the technical field of power equipment state monitoring, and the method comprises the steps: firstly obtaining ultraviolet photons and spatial point cloud data collected by an unmanned aerial vehicle; a three-dimensional model is constructed based on the point cloud, and electric field distribution information is obtained through finite element analysis. And the photon data and the electric field information are combined, and the discharge charge quantity and distribution are obtained through space inversion correction. And calculating the discharge current density by using an energy dissipation model, and determining the discharge thermal power loss density in combination with the local electric field. And finally, a steady-state heat conduction equation is solved based on the heat conduction and dissipation parameters, temperature field distribution under heat balance is calculated, and early warning information is generated when the steady-state temperature exceeds a heat-resistant threshold value. According to the invention, early-stage accurate prediction and positioning of the hidden overheating fault of the electrical equipment caused by insulation degradation are realized.

The invention provides a steady-state temperature distortion inlet temperature test layout method, and belongs to the field of aero-engine tests, and the method comprises the steps: S10, constructing a temperature field mathematical model of a measurement cross section in a steady-state temperature distortion test and a test layout mathematical model employing a fixed total temperature probe for temperature measurement; s20, temperature field parameters used for describing temperature field distortion characteristics are determined, the relative error sum of the temperature field parameters in the prior flow field and the temperature field parameters at the corresponding coordinates of the test layout is calculated, and therefore the optimization target of the test layout is determined; and S30, taking the circumferential angle of the fixed total temperature probe in the test layout as an optimization parameter, taking the relative error sum of the temperature field parameters as an optimization target, and adopting an optimization algorithm to optimize the circumferential angle of the fixed total temperature probe in the test layout. Therefore, the circumferential optimal angles of the fixed total temperature probes with different circumferential numbers in the steady-state temperature distortion test are obtained. The method is good in convergence and high in calculation precision.

The invention discloses a wire temperature-current-carrying capacity coupling prediction method and system considering environmental factor correction, and belongs to the technical field of power transmission lines, and the method comprises the steps: obtaining the steady-state temperature, current-carrying capacity and environmental parameters of a wire, and carrying out the supplementation of missing values; establishing a current-carrying capacity-temperature polynomial equation based on the data after missing value supplementation; state judgment is carried out on the working condition of the wire according to the environment temperature change rate, and wire temperatures in different states are obtained through calculation; and inputting real-time environment parameters into a parameterized model obtained by fitting according to historical data, and jointly substituting into the current-carrying capacity-temperature polynomial equation in combination with the conductor temperatures in different states to obtain the current-carrying capacity. According to the method, the coefficient generation model can be finely adjusted to ensure that the model can adapt to physical characteristic changes caused by factors such as aging and pollution of the line, and long-term prediction precision is kept.

The invention discloses a compensation thermal resistance regulation and control method applied to relay thermal network modeling, and belongs to the technical field of thermal modeling in an electromagnetic and thermal coupling system. The method is used for solving the problems that a traditional thermal network model is inaccurate in local temperature field prediction and difficult in hot spot recognition in relay thermal analysis. Comprising the steps of S1, establishing a thermal network model of a relay structure; s2, a compensation thermal resistance unit is inserted, and a T-type network is established; s3, solving a two-dimensional Poisson equation to obtain an average temperature; s4, comparing the average temperature with the node temperature in the thermal resistance network; iteratively adjusting the compensation thermal resistance unit until the temperature error of the compensation thermal resistance unit and the compensation thermal resistance unit is within an acceptable range; and S5, the calibrated model is operated, and the steady-state temperature is output. The introduction of the compensation thermal resistance is mathematically equivalent to the addition of a reverse heat flux regulator, so that the node temperature can be approximate to the two-dimensional integral average temperature, the distortion of the thermal network in a local two-dimensional region is effectively corrected, and the reflection capability of the model to local hot spots and temperature gradients is remarkably improved.

The invention relates to the technical field of nanofluid enhanced heat transfer simulation, in particular to a molecular dynamics-based mixed nanofluid heat transfer characteristic analysis method, which comprises the following steps of: constructing a molecular model comprising copper, graphene nanoparticles and an ionic liquid / water mixed base solution, and calculating the heat transfer characteristic of the mixed nanofluid through a distribution potential function and a periodic boundary condition; and performing energy minimization and molecular dynamic relaxation to achieve thermodynamic equilibrium. A steady-state temperature gradient is established based on the unbalanced molecular dynamics principle, and the thermal conductivity is calculated according to the Fourier law. Microcosmic parameters such as a radial distribution function, mean square displacement and the number of hydrogen bonds are synchronously analyzed, and a coupling mechanism of interaction and heat transfer performance of the nano-particle-base fluid interface is disclosed. According to the method, the heat transfer characteristic of the mixed nanofluid can be clarified on the molecular scale, and an efficient and reliable analysis means is provided for nanofluid screening and design in application of a solar heat collector, a heat management system and the like.

The invention provides a temperature compensation method for a pressure sensor, and the method comprises the steps: applying a plurality of known pressures to the pressure sensor at a plurality of steady-state temperatures, and collecting the corresponding output voltages of the pressure sensor at the steady-state temperatures and the known pressures; determining a reference parameter of the pressure sensor for temperature compensation according to a mapping relation among the steady-state temperature, the known pressure and the output voltage; in the real-time working process of the pressure sensor, environment temperature data of the pressure sensor are continuously collected at a preset frequency, and a temperature sequence is formed; predicting a temperature change trend in a future time period according to the temperature sequence; based on the output voltage, the temperature change trend and the reference parameters of the pressure sensor at the current moment, the pressure value after dynamic temperature compensation is obtained, the hysteresis of traditional static temperature compensation during dynamic temperature change is effectively overcome, and the measurement precision and the dynamic response capability of the pressure sensor under the complex temperature change working condition are remarkably improved.

The invention relates to an environment-friendly switch vacuum arc-extinguishing chamber contact temperature monitoring method and system based on surface acoustic wave array sensing and inversion, and belongs to the field of electrical monitoring. In order to solve the problem that in the prior art, non-intrusive and high-reliability monitoring of the contact temperature of the vacuum arc-extinguishing chamber is difficult to realize due to vacuum sealing and metal shielding, the technical scheme of the invention is as follows: an acoustic surface wave sensor array comprising three or more sensing nodes is constructed on the outer wall of the vacuum arc-extinguishing chamber, and the longitudinal temperature gradient distribution of the outer wall is captured in a lossless manner. A narrow-band flat-plate reader antenna is adopted to realize array signal parallel transmission with a high signal-to-noise ratio, and the steady-state temperature of an internal contact is accurately inverted through a pre-trained physical information neural network (PINN) model by utilizing multi-source data fusion and array characteristics. According to the method, a non-intrusive monitoring function from external sensing to internal deduction is realized, the problem that the temperature of the contact cannot be measured in a high-voltage closed environment is solved, and a key technical support is provided for safe operation of environment-friendly switch equipment.

The invention relates to the technical field of circuit breaker detection, in particular to a phase state detection display method and device of a double-contact circuit breaker. The method comprises the following steps: firstly, acquiring frequency data of mechanical actions, temperature data and current waveforms during opening and closing; further obtaining a mechanical wear coefficient according to the total frequency of the mechanical actions and the frequency of the recent mechanical actions; further analyzing the current waveform in the latest opening and closing process to obtain the current wave crest performance abnormality and the current fluctuation abnormality; the abnormal performance of the heating rate and the steady-state temperature is further analyzed, and the current temperature abnormal degree is obtained; and finally, detecting and displaying the state of the double-contact circuit breaker in combination with the current mechanical wear coefficient, the wave crest performance abnormality, the current fluctuation abnormality and the temperature abnormality. The gradual change degradation condition of the double-contact circuit breaker is comprehensively predicted from multiple angles of mechanical wear, current waveform abnormal performance and temperature abnormal performance, and the potential abnormal fault problem of the double-contact circuit breaker is identified in time.

The invention discloses an IGBT temperature field calculation method, system, medium and equipment based on data driving, and the method comprises the steps: building a finite element thermal model based on the geometric structure and material thermal parameters of an IGBT module; simulating steady-state temperature field distribution under each working condition by using a finite element thermal model, and constructing a multi-working-condition training data set comprising input variables and corresponding temperature field output; constructing a main network-branch network neural network model, and training the main network-branch network neural network model by using the multi-working-condition training data set; inputting the power loss value and heat dissipation parameters measured in real time into an IGBT temperature field prediction model to obtain an initial temperature field prediction result; updating the power loss value according to the initial temperature field prediction result, and inputting the updated power loss into the IGBT temperature field prediction model again for a new round of temperature field prediction; and repeatedly executing until the power loss difference value between two adjacent iterations is smaller than a preset convergence threshold value, stopping iteration and outputting a final steady-state temperature field.

The invention discloses an inflow temperature calculation method and device for a coupled oil reservoir-wellbore model.The inflow temperature calculation method comprises the steps that firstly, for an oil reservoir grid corresponding to a wellbore section, a radial flow area from the equivalent radius of the oil reservoir grid to the well wall is defined; secondly, a radial steady-state temperature second-order ordinary differential equation describing temperature distribution in the area is established, and the equation comprehensively takes heat convection, viscous dissipation caused by pressure gradient, Joule-Thomson effect, heat conduction and other micro heat effects into account; thirdly, setting boundary conditions for coupling the oil reservoir and the wellbore state for the equation; and finally, solving the equation with complete configuration to obtain radial temperature distribution, and determining the temperature at the well wall as the accurate inflow temperature. Compared with the prior art, the method has the advantages that the inflow temperature model with more complete mechanism and more accurate solution is established, so that the accuracy and reliability of output profile inversion interpretation are remarkably improved.

The present application provides a method and device for judging the type of point temperature rise defect of a composite insulator based on the curve of the surface temperature of the composite insulator changing with time. Only by adding a blowing device on the basis of the original infrared temperature measurement technology, a disturbance is given to the steady-state temperature field where the composite insulator is located. After a period of time, the disturbance is withdrawn, and the data of the temperature of the composite insulator changing with time after the disturbance is withdrawn is recorded and analyzed to distinguish whether the point temperature rise phenomenon of the composite insulator is caused by the heat generation at the interface of the core rod and the sheath or by the heat generation on the surface layer of the sheath.

The application discloses a kind of closed space temperature rise evaluation method and device of Stirling with cylindrical linear motor, method includes: building motor model;According to the fluid domain model of closed space obtained from motor model;According to the convection heat dissipation coefficient obtained by CFD simulation of fluid domain model;Obtain the loss and heat generation rate of heat source component;According to motor model, fluid domain model and loss and heat generation rate, obtain first model;Based on the first condition, steady-state thermal simulation is carried out according to first model, and steady-state temperature distribution is obtained;First condition includes eliminating the convection heat dissipation of cylindrical linear motor and fluid domain contact surface;The convection heat dissipation coefficient is introduced into first model, and second model is obtained;With steady-state temperature distribution as initial temperature distribution, according to second model, transient thermal simulation is carried out, and simulation result is used as initial temperature distribution of next time step transient thermal simulation, until the calculation of preset maximum time step is completed, and the motor operating temperature rise is obtained.

The invention provides a rolling linear guide rail numerical analysis method and system based on comprehensive error import, and belongs to the technical field of rolling linear guide rail thermal coupling parameter numerical analysis. Comprising the following steps: firstly, uniformly converting a comprehensive error into a ball and raceway interference magnitude parameter to calculate a comprehensive interference magnitude, solving a normal load borne by the ball based on a normal load formula, and further determining the heat flux density of a contact area of the rolling linear guide rail and a convective heat transfer coefficient of each surface; then, a steady-state temperature field is solved by constructing a heat conduction model of the rolling linear guide rail; and finally, constructing a structural finite element model consistent with the node number in the heat conduction model, and importing a steady-state temperature field to carry out finite element numerical analysis. According to the method, the rolling linear guide rail load deformation parameters better conforming to the actual working conditions can be obtained, and the calculation accuracy of the rolling linear guide rail value is improved.

The invention discloses a vacuum circuit breaker conductive loop temperature rise simulation optimization method, which comprises the following steps of: obtaining structure parameters of a circuit breaker, identifying a temperature rise sensitive area and constructing a simplified geometric model and a grid model; establishing a multilayer coating equivalent model and a contact resistance analytical model based on the coating parameters and the surface roughness, and determining initial contact parameters; constructing an electro-thermal coupling multi-physical field simulation model, executing bidirectional coupling iteration solution of a current field and a temperature field, and dynamically correcting the resistance value of the contact resistance analysis model according to the current temperature field distribution in the iteration process until a convergence condition is met; and outputting a steady-state temperature field and determining an optimal process scheme. According to the method, the temperature-load coupled contact resistance dynamic evolution model is established, so that the problem of prediction deviation caused by neglecting of contact surface microstructure dynamic change in traditional simulation is solved, and the temperature rise calculation precision is improved.

The application discloses a high-heat-consumption SiC MOSFET power device thermal analysis method based on a finite element method, which comprises the following steps: step 1, loading material information; step 2, three-dimensional modeling, modeling according to the three-dimensional size and arrangement position of each component to obtain a three-dimensional model; step 3, model correction, performing arc processing and simplification processing on the edges and corners of the three-dimensional model; dividing a calculation grid based on the simplified model; step 4, setting, setting the material properties of each part of the simplified model; setting the boundary conditions of the simplified model; step 5, obtaining a steady-state temperature, selecting a solid heat transfer physical field model, and using a finite element numerical method of a heat conduction equation to obtain the steady-state temperature of the high-heat-consumption SiC MOSFET power device to be analyzed. The application can more efficiently calculate the working steady-state temperature of the high-heat-consumption SiC MOSFET power device, and the simplified SiC MOSFET model used can improve the calculation speed while meeting the engineering error requirement.

The invention relates to a hot rod effective power evaluation method based on spatial distribution characteristics of a soil body temperature field, and is suitable for permafrost region engineering. The method comprises the following steps: selecting a hot rod which works stably, arranging temperature measuring holes on a horizontal section of a vertical axis in the middle of an evaporation section according to a near field, a middle field and a far field, and obtaining soil body temperatures T at different radial distances r; based on the steady-state heat conduction theory, regression analysis is carried out on measured data, a mathematical model T = C1 * ln (r) + C2 is constructed, and a coefficient C1 is solved; and combining the heat conductivity coefficient lambda of the soil body with the effective length L of the hot rod, and calculating the effective refrigeration power of the hot rod on the soil body by utilizing a formula Q =-2pi lambda LC1. The method does not need to pre-embed a sensor, does not interfere with the operation of the hot rod, and can include the contact thermal resistance influence between the hot rod and the soil body. The method has the advantages of high measurement precision, low cost and the like, and realizes in-situ and quantitative evaluation of the actual refrigeration efficiency of the existing engineering hot rod.

The embodiment of the application provides a kind of to be placed in cooling water tank high temperature high pressure steam-water passive residual heat exchanger thermal test device and method, the test device includes: passive residual heat exchanger, steam boiler, multifunctional test auxiliary water tank, water tank cooling pump, cooling water tank cooler, first electric stop valve, first electric regulating valve, check valve, second electric regulating valve, third electric stop valve, first flowmeter, second flowmeter, first temperature sensor, second temperature sensor, third temperature sensor, fourth temperature sensor, fifth temperature sensor, second electric stop valve and cooling water tank.The technical scheme can conveniently simulate the actual operating condition of passive residual heat exchanger, realize the adjustment of hot side steam flow, and realize the control of cold side steady-state temperature condition.

The invention provides an open cut tunnel expansion joint design method, system and device and a readable storage medium, and relates to the technical field of open cut tunnel expansion joint design, and the method comprises the steps: obtaining historical environment data of a target open cut tunnel area; establishing a finite element model according to an open cut tunnel structure and design parameters, wherein the design parameters comprise the distance and the width of expansion joints of the open cut tunnel; establishing an environment temperature field according to the historical environment data, wherein the environment temperature field comprises a steady-state temperature distribution field and a transient temperature distribution field; temperature-structure coupling simulation analysis is conducted through the environment temperature field and the finite element model, simulation results are obtained, and the simulation results comprise the thermal deformation result, thermal stress distribution and the total expansion and contraction amount of the open cut tunnel structure; and optimizing the design parameters according to the simulation result to obtain optimal design parameters. The method solves the problem that the existing open cut tunnel expansion joint design does not fully consider the coupling relationship between the regional climate characteristics and the structural response.

The invention relates to the technical field of wind power generation, in particular to a wind power plant regulation and control method and system based on gearbox temperature rise changes. The method comprises the following steps: calculating the sensitivity coefficient of the steady-state temperature and the active power of lubricating oil in a fan gear box at an initial moment based on the sensitivity coefficient of the power loss and the active power of the fan gear box at the initial moment and the sensitivity coefficient of the steady-state temperature and the power loss of the gear box; based on the sensitivity coefficient of the steady-state temperature and the active power of lubricating oil in the fan gear box at the initial moment, the steady-state temperature of the lubricating oil in each fan gear box and the increment of the active power of each fan from the initial moment to the moment to be regulated and controlled; and constructing a correlation model of the steady-state temperature and the active power of the lubricating oil in the gearbox of each fan at the to-be-regulated moment, constructing a wind power plant regulation model at the to-be-regulated moment based on the correlation model, and solving a target power generation strategy at the to-be-regulated moment. The operation reliability and economical efficiency of the wind power plant are improved.

The invention provides a dynamic detection and early warning method for the health state of a fan, and belongs to the technical field of fan state monitoring, and the method comprises the steps: enabling the fan to work at a rated working frequency at a set environment temperature Te, and obtaining and recording a first steady-state temperature and a first temperature rise rate of a fan winding at each working voltage; enabling the fan to work under the rated working voltage, and respectively obtaining and recording a second steady-state temperature and a second temperature rise rate of the fan winding under each working frequency; s3, according to the first steady-state temperatures and the second steady-state temperatures, a winding temperature expression expressed by the working voltage and the working frequency is obtained, according to the first temperature rise rates and the second temperature rise rates, a winding temperature rise rate expression expressed by the working voltage and the working frequency is obtained, and the reference temperature # imgabs0 # at the nth sampling moment is obtained; and S4, when the # imgabs 1 # or the # imgabs 2 # is detected, the health state of the fan is judged to be abnormal, and early warning is carried out. The detection sensitivity and reliability can be improved.

The invention discloses a temperature prediction method for a motor component, the motor component comprises at least one of a rotor or a stator, and the method comprises the steps that a motor controller obtains the instantaneous temperature and the current value of the motor component at a first moment, and inquires a first calibration table according to the current value and the position of the rotor, the steady-state temperature of the motor component and the time parameter of the motor component are obtained, and the time parameter comprises at least one of the winding time constant of the stator or the permanent magnet time constant of the rotor. And then, according to the instantaneous temperature of the motor component at the first moment, the steady-state temperature of the motor component and the time parameter of the motor component, predicting the instantaneous temperature of the motor component at the second moment. The data required by the method can be accurately obtained through measurement or query under different working conditions of the motor, so that the method has accuracy and universality.

The invention discloses a method and a device for measuring contact thermal resistance under a vacuum condition by taking an electron beam as a heat source, and relates to the technical field of thermotechnical measurement. The device comprises a vacuum cavity, an upper pressing plate with a through hole, an electron beam heating unit, a tungsten ingot, a sample piece stacking body formed by coaxially stacking a sample piece A and a sample piece B, a water cooling module, a heat insulation unit, a pressure applying unit, a temperature measuring unit and a control unit. The method comprises the following steps: heating a tungsten ingot by electron beams in vacuum, and establishing a steady-state temperature field through water cooling; acquiring steady-state temperature data under two different heating powers; a group of data is used as a reference, the interface temperature difference and the heat flux density are accurately solved by adopting a reference method in combination with the heat conductivity of the sample, and finally the contact thermal resistance is calculated. According to the method, the problems of air heat conduction interference, insufficient heat source power and large lateral heat loss in a traditional method are solved, and high-precision direct measurement of the contact thermal resistance of the solid interface under the vacuum, high-temperature and high-heat-flow conditions is realized.

The present application relates to the technical field of converter control, and provides a method and system for real-time estimation of transient maximum junction temperature of a power module of a converter, wherein the method comprises: storing the DC voltage, active power, reactive power, power module substrate temperature and power module radiator temperature of the converter at intervals; if the power of the converter jumps and enters an overload state, entering a real-time estimation program for the transient maximum junction temperature: recording the active power and reactive power of the converter after the jump; estimating the steady-state temperature of the power module substrate and the steady-state temperature of the power module radiator after the transient disturbance through a neural network; and estimating the transient maximum junction temperature of the power module through a simplified second-order thermal network model. The present application provides a method for real-time estimation of the transient maximum junction temperature of the power module of the converter, which can accurately estimate the transient maximum junction temperature under the overload condition of the converter and ensure the safe operation of the converter after the transient disturbance.

This application provides a method and system for early warning of overheating hazards in electrical equipment based on UAV multispectral imaging, belonging to the field of power equipment condition monitoring technology. This application first acquires ultraviolet photon and spatial point cloud data collected by a UAV. A three-dimensional model is constructed based on the point cloud, and electric field distribution information is obtained through finite element analysis. Combining photon data and electric field information, the discharge charge quantity and distribution are obtained through spatial inversion correction. Then, the discharge current density is calculated using an energy dissipation model, and the discharge heat power loss density is determined by combining the local electric field. Finally, the steady-state heat conduction equation is solved based on heat conduction parameters to calculate the temperature field distribution under thermal equilibrium. When the steady-state temperature exceeds the heat resistance threshold, an early warning message is generated. This application achieves early and accurate prediction and location of hidden overheating faults in electrical equipment caused by insulation degradation.

The invention provides a data center machine room liquid cooling circulation energy-saving control method and system, and the method comprises the steps: firstly building a machine room cellular network, obtaining time-of-use electricity price, obtaining a real-time data matrix of each cellular node, carrying out the DT-CWT decomposition, obtaining a transient temperature curve and a steady-state temperature curve, and carrying out the time-of-use electricity price of each cellular node; the method comprises the steps of establishing a heat flow density distribution diagram, performing real-time waste heat marking, performing graded and time-sharing recovery on heat generated by each cellular node based on the real-time waste heat marking and time-of-use electricity price, executing a cold storage strategy, then selecting PID control or MPC control to obtain a liquid cooling demand matrix, performing PID control or SMC control according to real-time temperature deviation, and finally obtaining a liquid cooling demand matrix. And a step adjustment instruction or a steady-state adjustment instruction is generated to adjust the liquid cooling demand matrix, and finally the cold storage module or the liquid cooling circulation module is started to carry out real-time liquid cooling heat dissipation, so that the energy-saving effect can be improved while the liquid cooling heat dissipation effect is ensured, and the total electricity price of use is reduced.