205 results about "Heat analysis" patented technology

The invention provides a steel shell concrete interface void detection system and method, and relates to the technical field of civil engineering structure health detection, and the system comprises a mobile scanning unit, an excitation unit, an infrared imaging unit, a signal processing and acquisition unit and a comprehensive analysis terminal. The method comprises the following steps: controlling a mobile scanning unit to carry out step-by-step impact excitation and signal acquisition so as to obtain a frequency diagram, and synchronously sampling by using an infrared thermal imager so as to obtain a thermal analysis diagram; and then binarizing the two images respectively, fusing the two images by adopting a noise suppression algorithm to generate a comprehensive image, and judging that the interface is void according to the fused image. According to the method, the high sensitivity of the impact echo method to the layering defect and the accurate description capability of the infrared thermal imaging method to the defect shape are fused, so that nondestructive, efficient and high-precision detection of the steel shell concrete interface void is realized, and the misjudgment and leak detection risks of a single method are effectively reduced.

The invention discloses a self-reaction substance drying process safety assessment and classification method based on thermal analysis kinetics. The method comprises the following steps: performing a multi-heating-rate programmed heating test on a self-reaction substance under a closed condition by adopting DSC to obtain an exothermic initial temperature, a peak temperature and a specific exothermic quantity, constructing a thermal decomposition kinetic model based on the obtained data, and solving kinetic parameters such as apparent activation energy and pre-exponential factors; combining an energy conservation equation and a thermal explosion theory, predicting a self-accelerated decomposition temperature SADT under an adiabatic condition TD24 and a given filling and heat dissipation condition, determining a temperature safety threshold value of a drying process according to the SADT, and dividing a working condition safety interval; further introducing three dimensionless safety factors including a temperature safety margin, a time safety margin and a thermal explosion margin, constructing a comprehensive risk index, and carrying out risk grade division on the drying working condition. The method provided by the invention has the advantages of low sample consumption, simple test conditions and standardized calculation process, can quantitatively evaluate the safety drying temperature upper limit of different self-reaction substances and under different process conditions, and provides a reliable basis for drying process design and safety control of the self-reaction substances.

The invention provides a bandwidth allocation method and device, electronic equipment and a storage medium. The method comprises the following steps: monitoring network state indexes of a plurality of private line links in real time; carrying out heat analysis on service flows transmitted on the plurality of private line links based on the network state indexes, and identifying a heat flow meeting a preset condition; selecting a target link from the plurality of private line links according to the flow characteristics of the heat flow and the network state index; establishing a hardware direct connection forwarding channel on the target link for the heat flow, and synchronizing configuration information of the hardware direct connection forwarding channel to a control component; and receiving a global bandwidth allocation strategy issued by the control component based on the configuration information, and calling the hardware direct connection forwarding channel to execute local flow scheduling for the heat flow according to the global bandwidth allocation strategy and the network state index. Therefore, the forwarding performance and the resource utilization rate of the private line gateway are remarkably improved.

The invention relates to the field of distributed storage, and discloses a distributed storage system, method and equipment for wind power plant data and a medium, which are used for realizing flexible adjustment of a storage strategy and meeting the storage requirement of dynamic change of a wind power plant data value. Comprising the following steps: collecting SCADA system data at edge nodes of a wind power plant, inputting an information entropy module and an access heat analysis module in parallel, fusing to generate a data value evaluation result, inputting the evaluation result into a cellular automaton engine, outputting a cellular state change instruction, summarizing collaborative strategy requests of at least two edge nodes to a regional center node, and carrying out collaborative strategy analysis on the regional center node. And a fair resource allocation scheme is output through the Sharpley value calculation module. And each edge node synchronously receives the scheme, the time sequence database controller generates a final storage instruction, and data distributed persistent storage is completed. According to the method, on the basis of the correlation between the long-term data value evaluation result and the actual use value, the entropy value and the popularity weight coefficient are optimized, and self-adaptive optimization of the system is achieved.

The invention discloses a turbine blade tip clearance passive matching method based on engine requirements, and belongs to the technical field of aero-engines, and the turbine blade tip clearance passive matching method comprises the steps that the minimum allowable working clearance is determined; determining a typical tip clearance analysis load spectrum; performing thermal analysis and deformation analysis on the rotor and the stator; according to the deformation results of the rotor and the stator, a blade tip gap change rule is analyzed, and a blade tip gap change rule is obtained; according to different engine requirements, blade tip clearance matching is optimized according to the material, the structure and the cooling form of the cartridge receiver; determining an initial cold-state gap according to the narrow-point gap and the minimum allowable working gap; and carrying out iterative calculation, and determining a final blade tip clearance matching scheme. Turbine rotor deformation and turbine stator deformation can be matched so as to ensure that the turbine blade tip clearance is as small as possible in the focused operation state, that is, the turbine blade tip clearance is reduced as far as possible, the turbine efficiency is improved, and the oil consumption rate is reduced on the premise of ensuring the safety of an engine.

The invention relates to the technical field of battery packs, in particular to a battery pack heat preservation and heating control method, device and equipment and a medium. The bag-shaped heat preservation heating sleeve with the heat insulation layer is arranged outside the battery pack to control the temperature; the method comprises the following steps: firstly, acquiring temperature data of each region by using a temperature sensor to analyze and evaluate a temperature state, identifying a temperature abnormal region, performing directional heating analysis, and generating heating control parameters; then, according to the parameters, the heating power of the local area is adjusted, a control signal is sent to a controller, and the output power of the heating film in each area is adjusted; the battery pack can be flexibly installed after leaving a factory, the temperature control effect is improved through the heat insulation effect of the heat preservation heating sleeve and accurate partition control, the battery can be kept at the proper charging and discharging temperature, the effective discharging rate of the battery is improved, and the original battery pack structure does not need to be changed.

This invention discloses a collaborative scheduling and path planning method for warehousing and logistics robot clusters, relating to the field of path coordination and planning technology. When constructing a directed topology graph, this method records the passage cost value and initializes a second-level occupancy record table to achieve accurate querying of the number of nodes occupied per second. When assigning tasks, if the starting node is full, the start is delayed to eliminate congestion at the starting point. During path generation, nodes are filtered based on their passage cost value, and nodes that are full at the arrival time are excluded to avoid leading to congestion points. When updating the record table, the robot number is entered at the arrival time, quantifying the occupancy into second-level data. During congestion analysis, the capacity of nodes with density ratios exceeding a threshold is temporarily reduced to shrink the number of occupants in advance. During traffic heat analysis, the passage cost value of the edges traversed is increased according to the robot type and loading level, so that subsequent paths bypass heavily loaded edges. During conflict resolution, temporary capacity is used to determine conflicts, and paths are regenerated according to the adjusted passage cost value, staggering spatiotemporal trajectories to reduce overlap.

The utility model discloses a thermal analysis device for a power device, which comprises an analysis chamber, a horizontally arranged heating table is mounted at the bottom of an inner cavity of the analysis chamber, the heating table is of a circular structure, a plurality of rings of loading grooves are formed in the upper surface of the heating table, each ring of loading groove comprises a plurality of loading grooves which are circumferentially distributed, and the loading grooves are used for placing the power device; a telescopic cylinder arranged downwards in the vertical direction is mounted at the top of an inner cavity of the analysis chamber, a rotary seat and a transverse moving seat are sequentially mounted at the head of the telescopic cylinder from top to bottom, a lead screw penetrates through the transverse moving seat, a nut in threaded connection with the lead screw is mounted on a main body of the lead screw, and the nut is slidably connected with the bottom of the transverse moving seat; and a thermal imaging component arranged downwards is mounted at the bottom of the nut. The thermal analysis device for the power device provided by the utility model can realize synchronous testing of batch devices, and remarkably improves the testing efficiency.

The invention relates to a thermal analysis method and a measuring device for a solidification process after modification treatment of aluminum and aluminum alloy, and the thermal analysis method comprises the following steps: adding seed crystal particles into an overheated melt in a vacuum environment or an inert atmosphere through a feeding device; cooling and solidifying the overheated melt, and collecting and recording a cooling curve T-t of the seed crystal particles through a high-speed temperature collecting device; the cooling curve is subjected to derivation calculation, and thermal characteristic parameters in the melt solidification process are represented; comparing the thermal characteristic parameters, and judging the deterioration effect. According to the method, the seed crystal particles are placed into the melt, melt solidification data are collected, and efficient judgment and high-throughput screening of the seed crystal particles and the second-phase modified refined seed crystal particles in the aluminum alloy are achieved by means of the quantitative relation among the seed crystal particle characteristics, the local temperature and the supercooling degree.

This invention provides a method for predicting the fiber orientation distribution of short-fiber reinforced resins, which enables structural analysis that simply considers the fiber orientation of the resin without performing flow analysis. [Solution] A method for predicting the orientation distribution of fibers contained in an injection-molded product of short fiber-reinforced resin having a skin layer and a core layer by simulation, comprising: an analysis model creation step of creating an analysis model for a virtual object using CAE analysis software based on the finite element method (S1); a step of performing a transient thermal analysis based on thermal analysis conditions including information on the gate position where the resin is injected, and predicting the flow direction of the resin from the heat flow direction obtained by the transient thermal analysis (S2, S3, S4); and a fiber orientation tensor calculation step of expressing the degree of flow direction orientation of the skin layer and the core layer with an algebraic relation, and calculating a fiber orientation tensor indicating the orientation state of the fibers by performing an algebraic operation based on the algebraic relation (S5).

A gas analysis apparatus and method are disclosed that can perform measurements in direct and collection modes without complex control. The gas analysis apparatus 100 according to this disclosure includes: a branching component 20 for branching a target gas; a mass spectrometer 80 for mass spectrometry analysis of one branch of the target gas; a collection component 60 for holding another branch of the target gas; a gas chromatograph 70 for analyzing the other branch of the target gas held by the collection component; and a controller 50 for controlling the flow paths of the one branch of the target gas and the other branch of the target gas. During thermal analysis, the branching component 20 is controlled to continuously branch the supplied target gas and discharge the one branch of the target gas and the other branch of the target gas, and after the thermal analysis is completed, the other branch of the target gas held by the collection component 60 is supplied to the gas chromatograph 70.

The invention discloses an intelligent storage dynamic goods allocation distribution method based on goods allocation popularity analysis, and belongs to the technical field of intelligent storage management. The method comprises the steps of 1, collecting goods location coordinates, goods attributes and historical and current order data; 2, calculating goods real-time demand popularity and goods shelf position popularity based on the current order, and coupling to obtain goods allocation coupling popularity; 3, by taking maximization of the total goods allocation coupling heat and optimization of the estimated picking path as targets, constructing a dynamic equilibrium model and solving and outputting a goods allocation distribution scheme; and step 4, executing distribution and order picking tasks, collecting actual operation data and feeding back the correction heat calculation model to realize closed-loop optimization. According to the method, the coupling conflict between static goods allocation and dynamic order selection is solved, the linkage decision of storage location optimization and path planning is realized, the method can be adaptive to order fluctuation and operation environment change, and the warehousing operation efficiency is remarkably improved.

The invention provides a DFDNTN / TNAZ eutectic substance and a preparation method thereof, DFDNTN and TNAZ are weighed in proportion in an alumina crucible of DSC (Differential Scanning Calorimetry) according to the total amount of 5mg, a test is carried out under the conditions that nitrogen is used as an atmosphere and the heating rate is 10k / min in DSC thermal analysis, the temperature is raised to 150 DEG C which is higher than the melting point of any single component, and one sample is circulated for three times, so that the samples can be uniformly mixed. DSC curves of different heating rates are obtained. When the ratio of DFDNTN to TNAZ is 4: 6, the melting point is 88 DEG C. According to the method, the eutectic point can be quickly found by using a trace amount of samples, and the eutectic substance and the high-energy component (RDX) are mixed by adopting a micro-heat thermal instrument, so that the thermal behavior between the eutectic substance and the high-energy component is researched. The melting point of the eutectoid prepared by the invention is reduced, so that the energy characteristic, the mechanical sensitivity and the decomposition temperature of the eutectoid are between those of two single components, and the volatility of TNAZ can be effectively relieved.

The application provides a method for determining the structural temperature field and thermal deformation of a compressor rotating disc cavity, which can be applied to the technical field of heat analysis of turbomachinery. The method comprises the following steps: obtaining the geometric parameters, operating parameters and working substance property parameters of the gas in the disc cavity; based on the balance between the buoyancy effect and the viscous effect driven by the centrifugal force, the average heat flux density of the outer ring cover of the disc cavity is obtained according to the outer ring cover radius, the axial gap of the disc cavity, the rotating disc speed, the outer ring cover temperature, the rotating core zone temperature, the Prandtl number, the density, the dynamic viscosity and the thermal conductivity; based on the heat conduction analogy relationship of the laminar Ekman boundary layer, the local heat flux density of the rotating disc is obtained according to the rotating disc speed, the kinematic viscosity, the thermal conductivity and the difference between the rotating disc temperature and the rotating core zone temperature; and the structural temperature field distribution and the thermal deformation of the rotating disc cavity are obtained according to the average heat flux density of the outer ring cover of the disc cavity and the local heat flux density of the rotating disc.

The invention relates to the technical field of advanced ceramic additive manufacturing control, in particular to a low-defect degreasing process for a light-cured silicon nitride ceramic green body, which comprises the following steps: S1, obtaining the same organic system of the light-cured silicon nitride ceramic green body to be degreased, carrying out thermal analysis, obtaining a mass loss rate TG-DSC curve, and determining the peak temperature Tp of a main decomposition peak; s2, respectively setting a thermal insulation platform, a pre-peak platform temperature T1 and a post-peak platform temperature T2 before and after the main decomposition peak; s3, the degreasing temperature range is divided into at least three stages with T1 and T2 as nodes, the heating rate is set, and degreasing is completed; according to the method, the main decomposition peak of the organic system is identified through thermal analysis, and the main decomposition peak temperature zone is converted into a controllable gas release process of pre-release before peak and emptying after peak from single high-risk concentrated gas release, so that the occurrence probability of defects such as swelling, layering and cracking is reduced, and the degreasing stability and the finished product consistency are improved.

The application discloses an adiabatic accelerating calorimetry method with fast reaction heat loss correction. The application realizes more accurate calculation of sample reaction kinetics and thermodynamics by compensating the convection and conduction heat loss in the fast reaction stage; differential equations are derived and solved from the perspective of heat balance by using heat transfer analysis; a new heat loss calibration mode is added, the HWS heating stage is divided into two parts, the convection heat loss coefficient is calibrated by tracking the reaction system temperature by controlling the cover temperature in the first part, and the conduction heat loss coefficient is calibrated by controlling the constant temperature of the furnace body in the second part; the linear fitting and interpolation method are used to solve the relationship between the heat loss coefficient and the temperature in the reaction process; and finally, the heat loss in the reaction process is integrated to compensate the sample heat release. The application improves the accuracy and reliability of the solution of thermodynamic and kinetic parameters.

The present disclosure relates to a thermal analysis system and method for a battery system. The thermal analysis system includes a learning data generation device configured to generate second thermal analysis data using first thermal analysis data and a first artificial neural network model. The first thermal analysis data is obtained through numerical thermal analysis of a battery system. The thermal analysis system also includes a model construction device configured to construct a thermal analysis model by using a second artificial neural network model with the first thermal analysis data and the second thermal analysis data as learning data.

A laminate is provided with at least a substrate layer and a sealant layer. The surface softening temperature of the sealing surface of the sealing layer after heat-moisture treatment of the laminate is 140 DEG C or more and 150 DEG C or less based on localized thermal analysis, and the base material layer and the sealing layer contain a polypropylene resin. In the laminate, the sealing surface of the sealing layer has a surface softening temperature of 110 DEG C or more and 140 DEG C or less as determined by localized thermal analysis, and when the sealing layer and the same sealing layer as the sealing layer are heat-sealed under conditions of 121 DEG C, 0.05 MPa and 30 seconds, the laminate may have a weld strength of 2.0 N / 15 mm or less.

The present application relates to the technical field of wide band gap semiconductor devices, and particularly relates to a Ga2O3 power device heat dissipation optimization method based on a hetero-substrate structure, which comprises the following steps: combining a first principle to construct an interface atomic model, adopting the first principle to screen a high-thermal-conductivity substrate material, constructing a hetero-interface model to analyze key physical parameters, calculating an interface thermal resistance based on a machine learning potential function and a molecular dynamics method, and combining finite element thermal simulation to carry out macro-scale thermal analysis and structure optimization. The present application covers the whole process from material screening to interface optimization and then to device-level thermal simulation, systematically improves the thermal management performance of the Ga2O3 power device, and simultaneously improves the efficiency and reduces the trial and error cost, thereby providing differentiated strategies for adapting to various complex application scenarios.

The invention discloses a gas turbine unit rotor starting control method, system and equipment and a storage medium. Variable steam parameters of a gas turbine unit in the starting stage are obtained, and the convective heat transfer coefficient of the surface of a rotor is calculated; establishing a gas turbine rotor multi-physical field coupling analysis model, applying the calculated convective heat transfer coefficient as a thermal analysis boundary condition, and obtaining transient temperature field and stress field distribution of the rotor in the starting process; a non-Euclidean data structure of the rotor multi-physical field coupling analysis model is extracted, a depth map convolutional neural network is established, a transient temperature field prediction model in the rotor starting process is established, and a rotor transient temperature field reconstruction result is obtained; a thermal-mechanical stress field reconstruction model in the gas turbine rotor starting process is established, and a rotor thermal-mechanical stress field reconstruction result is obtained; and a reinforcement learning algorithm is adopted to intelligently control the main steam regulating valve and the load rising rate in the starting process of the rotor of the gas turbine unit.

The invention discloses a multi-process machining process high-temperature intelligent prediction method based on sparse sensing extension, and relates to the technical field of intelligent manufacturing, and the method comprises the steps: constructing a three-dimensional simulation model of a key part of a machine tool, carrying out the finite element thermal analysis, screening nodes in an initial layout network based on a graph node centrality measurement algorithm, and laying sensors, forming a sparse sensing network; acquiring a sparse temperature sensing data set based on the network, and setting a global temperature prediction threshold and an auxiliary anomaly judgment threshold in combination with material characteristics, finite element results and historical data; machine tool numerical control system parameters are collected and analyzed in real time, a process knowledge graph is constructed, and a current process type is judged through a model; inputting the sparse data set and the process type into a space-time extension model to obtain temperature data of all positions; and the process type and the overall data set are input into a high-temperature intelligent prediction model, and the future high-temperature abnormal state is judged in combination with a threshold value, so that the high calculation cost of a mechanism driving method is avoided, and the real-time monitoring and online decision-making requirements are met.

The utility model relates to the field of material thermal analysis, in particular to a sample loading system for synchronous thermal analysis of photovoltaic cell silver paste, which comprises a partition module and a blowing module, the partition module is of a cylindrical structure with openings in the two ends, the partition module is arranged in the crucible, and photovoltaic cell silver paste to be analyzed enters the crucible through the openings in the two ends of the partition module; and the blowing module is used for flattening the photovoltaic cell silver paste to be analyzed in the crucible in a blowing manner. According to the utility model, the blocking module is used for preventing the side wall of the crucible from being accidentally stained when STA analysis sample loading is carried out on the photovoltaic cell silver paste. And the blowing module sprays gas with proper force, so that the silver paste is uniformly distributed in the accommodating body and flatly laid at the bottom of the crucible. Further, the temperature difference of different parts of the sample in test analysis is reduced, more accurate thermal reaction temperature is obtained, the consistency of thermal analysis curve shapes is improved, and the research of photovoltaic cell silver paste sintering and photovoltaic cell preparation processes is effectively supported.

This invention discloses a data hot / cold analysis method, apparatus, device, and computer-readable storage medium. The method includes: registering the data logical objects to be accessed by each data access operation; determining a data logical object set based on the registered data logical object information, wherein a data logical object set includes a group of data logical objects with access relevance; recording first access time information corresponding to the data blocks actually accessed by each data access operation; statistically obtaining second access time information corresponding to the data logical object set based on the first access time information of each data block corresponding to the data logical object in the data logical object set; and analyzing the second access time information to obtain a first data hot / cold analysis result corresponding to the data logical object set. This invention improves the rationality of hot / cold data identification, thereby improving the efficiency of hierarchical storage of hot / cold data.

This disclosure provides modelling techniques for accurately and reliably analyzing printed parts. More specifically, a model with a powder representation may be used for the thermal analysis, the powder representation may then be removed from the model for performing the structural analysis. Although the powder representation is removed from the model for the structural analysis, the structural analysis still factors in the thermal effects of the powder on the part determined by the thermal analysis. The computer-based techniques of the current disclosure improve the functioning of a computer system as compared to conventional approaches by facilitating analyses (e.g., thermal, mechanical, design, and heat treatment analyses) that are more accurate, more efficient (e.g., faster, smaller memory requirements, etcetera), and / or have a reduced processing burden versus conventional approaches.

The invention belongs to the field of fuel cell thermal management, and discloses a temperature control method of an air-cooled PEMFC and a related device, and the method comprises the steps: constructing an air-cooled PEMFC thermal management system dynamic model which comprises a cell stack model and a thermal analysis module; applying a preset step response to the cell stack model to obtain cell stack model information; constructing a first-order linear active disturbance rejection controller (ADRC); an anti-interference normal form of the first-order linear active-disturbance-rejection controller ADRC is obtained through cell stack model information correction, and preset key parameters of a linear expansion state observer in the first-order linear active-disturbance-rejection controller ADRC are obtained through particle swarm optimization; generating a temperature control quantity at the next moment based on a first-order linear active disturbance rejection controller (ADRC); inputting the temperature control quantity at the next moment into a thermal analysis module, and controlling the temperature of the air-cooled PEMFC; according to the invention, accurate control of the temperature of the air-cooled PEMFC is realized, the control effect and the anti-interference capability are ensured, and the method is easy to implement.

The application belongs to the field of aero-engine heat balance, and particularly relates to a rotating disc heat exchange temperature calculation method of an aero-engine, obtaining a plurality of point position rotational flow ratios of a preset position of a disc cavity and an A cavity rotational flow ratio and a B cavity rotational flow ratio; based on the plurality of point position rotational flow ratios, heat exchange temperatures of the A cavity and the B cavity are respectively calculated; based on the A cavity rotational flow ratio and the B cavity rotational flow ratio, convective heat exchange coefficients of the A cavity and the B cavity are respectively calculated; based on the heat exchange temperatures and the convective heat exchange coefficients of the A cavity and the B cavity, the solid temperature of the turbine disc is solved; the method considers the influence of the internal flow field structure of the rotating system on the heat exchange temperature in the disc cavity of the rotating system, and gives a more accurate heat exchange temperature calculation formula; by taking the relative total temperature as the heat exchange temperature, the accuracy of the heat exchange boundary condition is improved, and the comprehensive calculation precision of the heat analysis is improved.

The application discloses a kind of precision instrument with thermosetting adhesive curing kinetics model construction method;First, differential scanning calorimetry (DSC) experiment is carried out, and corresponding heat flow density curve is obtained;Second, each heat flow density curve is carried out peak fitting, and multiple exothermic peak curve is obtained;Third, the exothermic quantity curve, degree of cure curve and curing rate curve of each exothermic peak are obtained;Fourth, the kinetic model parameters of each exothermic peak are obtained by using autocatalytic model fitting;Fifth, the percentage of the exothermic quantity corresponding to each exothermic peak in the total exothermic quantity of adhesive curing is calculated;Finally, the real-time curing rate of each exothermic peak is calculated according to the corresponding kinetic model, and the adhesive real-time curing rate is obtained by linear superposition after being multiplied by the corresponding percentage;The application can significantly improve the accuracy of adhesive curing process analysis results, provide reliable theoretical support for precision instrument with thermosetting adhesive curing forming process optimization, and improve the performance of precision instrument.

To provide a wheel flat estimating device, a wheel performance testing device and a key control device for evaluating a wheel re-adhesion control method for allowing proper wheel sliding having the possibility of damaging a wheel and a rail.SOLUTION: The wheel flat estimation device 10 includes a motion analysis part 20 for calculating various parameters by analyzing the behavior between a wheel and a rail when the wheel is fixed, a frictional heat analysis part 30 for calculating the temperature of the tread of the wheel when the wheel is fixed by frictional heat analysis, and a calculation part 30 for calculating the wheel flat based on the calculated temperature of the tread and reference data. The shape estimation device includes a yield stress calculation unit 40 that calculates a wheel yield stress of a wheel, an area calculation unit 50 that calculates an area of a contact ellipse between the wheel and a rail, a comparison unit 60 that compares a magnitude relationship between a tangential stress calculated from a tangential force and the area of the contact ellipse and the wheel yield stress, and an estimation unit 70 that estimates, as a wheel flat shape, a contact ellipse having a minimum area in which the wheel yield stress is determined to be larger than the tangential stress by the comparison in the comparison unit 60.SELECTED DRAWING: Figure 1

The invention discloses an infrared thermal imaging diagnosis system and method based on a converter station intelligent gateway, and the system comprises an infrared thermal imaging collection unit which is used for collecting the image data of a core thermal load region through arranging a visual and infrared thermal sensing terminal in the core thermal load region of to-be-monitored equipment, sending the data to the edge computing intelligent gateway; the edge computing intelligent gateway is deployed in a core thermal load area, and the edge computing intelligent gateway is used for preprocessing the image data and performing preliminary judgment on the preprocessed image data to obtain a preliminary thermal analysis result of the image data; generating alarm information based on the preliminary thermal analysis result, and sending the alarm information to an operation and maintenance management platform; the operation and maintenance management platform is used for fusing the image data in the alarm information with the multi-source data to generate fused data; and the operation and maintenance management platform is used for analyzing the fusion data through a deep learning image recognition model and outputting a diagnosis result of the to-be-monitored equipment.