513 results about "Failure analysis" patented technology

The invention relates to the technical field of deformation monitoring, in particular to a reservoir dam deformation monitoring method and system based on a sensor network, and the method comprises the steps: carrying out the calibration analysis of the failure degree of a corresponding position based on the basic engineering parameters of each position of a reservoir dam and a failure degree prediction result; and performing failure analysis on each position according to the predicted future water flow impact condition and the failure degree calibration analysis result of each position of the dam, and performing maintenance analysis resource allocation on the corresponding position based on the failure analysis result of each position. Failure analysis and maintenance resource allocation are carried out based on water flow conditions, deformation conditions, basic engineering parameters and failure degree prediction and calibration analysis of all positions of a reservoir dam, potential risks are found in time by collecting water flow and deformation data in real time, the maintenance priority of all areas is determined, it is ensured that high-risk areas are processed in time, and the maintenance efficiency is improved. And according to the real-time monitoring and prediction result, the maintenance plan is dynamically adjusted, and the flexibility and adaptability of resource allocation are improved.

A maintenance and monitoring infrastructure can collect real machine samples and train failure analysis models to identify operational anomalies, indicative of a machine failure. Failure analysis models can be trained and more robustly tested and developed by using artificial samples that can simulate what a real monitor would have measured had the real monitor been deployed in a set of selected circumstances (a scenario). A synthetic sample generator (SSG) can include a seed development cycle stage (SDCS) and a synthesis execution stage (SES). The SDCS can generate a signal, from which the SES can generate a multi-phenomena synthetic signal, simulating a scenario, where a monitor would have likely yielded the generated synthetic signal, or a similar signal. The synthetic signal data can be used to train failure analysis models.

The invention relates to the field of intelligent diagnosis of oil and gas field development, in particular to a fracturing wellhead device failure analysis method and system based on a large model and a knowledge graph. The system is helpful for solving the problem that the accuracy and timeliness of failure analysis and fault diagnosis of the fracturing wellhead device in the prior art are limited. The method comprises the steps of building a knowledge graph, setting a knowledge graph dynamic updating mechanism oriented to the fault evolution process, building an open source large model and introducing a closed loop feedback mechanism. According to the method, the large model, the knowledge graph and the RAG technology are applied to fracturing wellhead failure analysis, and the intelligent level of the oil and gas industry is remarkably improved; the problem that a large model is high in generalization but insufficient in specialty is optimized, and the accuracy of answer generation is improved.

The invention belongs to the technical field of tire performance simulation, and particularly relates to a tire durability simulation analysis system and method.The tire durability simulation analysis method comprises the steps that a tire three-dimensional finite element model containing cord-rubber interface details is used for dynamically recognizing a first-time debonding event by focusing a cord-rubber interface area in simulation; a debonding extension path and a failure evolution judgment mechanism are constructed through time-space accompanying monitoring of a newly added debonding area, so that tire durability evaluation starting from a microcosmic interface scale is realized, and the accuracy of fatigue life prediction is improved; meanwhile, road conditions are introduced under a microscopic failure analysis framework based on a tire three-dimensional finite element model, tire responses at different speeds are simulated by adopting a stepped speed-increasing loading sequence, and durability simulation results under different road condition and speed combinations are obtained and visually presented in an equivalent map form. And the fatigue performance distribution characteristics of the tire under a complex operation condition can be intuitively reflected.

The invention relates to an aero-engine stator part crack critical dimension comprehensive determination method and system, and belongs to the technical field of aviation, the method comprises the following steps: obtaining an aero-engine typical hot end stator part geometric model and material parameters, and carrying out static strength analysis according to fluid-thermal-solid coupling load characteristics in actual working conditions; inserting an initial crack into a first principal stress plane of a dangerous part of the real component, carrying out crack propagation simulation to determine a crack propagation path, and calculating a critical crack size of a dangerous point; analyzing critical crack sizes under different failure modes, such as cooling failure and buckling failure; and integrating analysis results under the multi-failure mode, and determining a comprehensive critical dimension as a final judgment standard. According to the method, through combination of fracture failure and function failure analysis, accurate judgment of the critical dimension of the crack is realized, limitation of a traditional single fracture criterion is broken through, comprehensive function failure analysis is realized, the accuracy of a maintenance decision is remarkably improved, and a scientific basis is provided for condition-based maintenance decision.

The techniques disclosed herein provide a system for condensing large log files to enable interoperability with transformer-based large language models in automated failure analysis. In various contexts such as enterprise cloud services, log files can be large oftentimes containing millions of lexical units that can incur significant processing time and resource consumption. As such, the disclosed techniques provide a system for producing a directional knowledge graph representing a condensed form of a log file for automated failure analysis. Firstly, the log file is preprocessed to filter information that is irrelevant to the failure that previously occurred. The filtered lexical units are then used to generate a directional knowledge graph comprising a plurality of vertices which correspond to individual lexical units, and which are connected by edges representing the semantic connection between the lexical units. In this way, the directional knowledge graph significantly reduces processing times and improves resource consumption.

The invention discloses a multi-axis multi-field coupling fatigue test device, and belongs to the technical field of material testing. The device comprises a rack, a multi-axis loading unit, an environment simulation unit, a dynamic sealing interface and a cooperative control system. The core of the device is that the test sample can simultaneously bear the coupling effect of multi-axis mechanical stress (pulling, pressing and twisting) and various environmental fields (such as high and low temperatures, corrosive media, illumination and electric fields) through a highly integrated design; and the dynamic sealing problem of the actuator rod in the environment box is solved through an innovative dynamic sealing interface (such as labyrinth-magnetofluid composite sealing). According to the invention, accurate linkage control of multiple channels is realized through the cooperative control system, the service environment of key parts under actual complex working conditions can be truly simulated, and a reliable test platform is provided for failure analysis and life prediction of products under multi-field coupling.

The invention relates to the technical field of building construction, in particular to a prefabricated building construction progress automatic monitoring method. The method comprises the following steps: obtaining a building construction design drawing; based on the building construction design, prefabricated building component design data is extracted; building a building construction three-dimensional model based on the prefabricated building component design data; building component transportation simulation is conducted according to the building construction three-dimensional model, and building component transportation data are obtained; identifying a component cracking degree based on the building component transportation data; performing connection failure analysis based on the component cracking degree to obtain component connection failure data; predicting a reinforcement corrosion risk based on the component connection failure data; evaluating assembly durability based on the reinforcement corrosion risk; and extracting hoisting design data of the building construction design drawing. Based on the building construction technology, the efficiency and accuracy of prefabricated building construction progress monitoring are improved, and the accuracy of construction plan execution and the resource scheduling efficiency are improved.

The invention discloses a method for predicting high-temperature degradation of a micro-copper pillar bump interconnection resistor. The method comprises the following steps: establishing a relationship between the net flux of Ni atoms and the thickness change of a Ni-Cu-Sn compound layer based on the thermal diffusion flux of the Ni atoms; establishing a relationship between the net flux of the Cu atoms and the thickness change of the Cu6Sn5 layer and the Cu3Sn layer based on the thermal diffusion flux of the Cu atoms; based on the thickness change relationship, establishing a thickness high-temperature growth model of the Ni-Cu-Sn compound layer, the Cu6Sns layer and the Cu3Sn layer; based on the thickness high-temperature growth model, establishing a thickness high-temperature consumption model of the Cu bonding pad, the Sn solder and the Ni layer; and establishing a resistance high-temperature degradation model based on the thickness high-temperature growth model and the thickness high-temperature consumption model. According to the method, an effective solution can be provided for predicting the high-temperature degradation condition of the copper pillar bump interconnection resistor plated with the Ni layer, and a large amount of service life and time and economic cost generated by failure analysis tests are greatly reduced or avoided.

A lithium ion battery polycrystal / single crystal positive electrode material multi-physics field coupling modeling and failure analysis method comprises the steps that a three-dimensional positive electrode particle structure model is constructed, a polycrystal structure is generated by randomly filling spherical boundaries with non-overlapped spherical crystal grains, and single crystals are complete spheres; importing the model into a finite element simulation platform, and setting a multi-physics field coupling interface; establishing a diffusion, migration and electrochemical reaction kinetic model; establishing a lithium concentration-strain-stress coupling relation and solving the lithium concentration-strain-stress coupling relation; setting a failure criterion based on stress distribution to identify a damaged area; and outputting a simulation result and carrying out structure-performance correlation analysis. The method can reveal the evolution behavior difference of the polycrystalline positive electrode and the monocrystalline positive electrode in the electrochemical-mechanical process, provides reliable theoretical and simulation support for electrode material design, optimization and life evaluation, and provides powerful technical support for optimization design of the high-performance lithium ion battery positive electrode material.

The invention relates to the technical field of submarine cable engineering equipment, and discloses a submarine cable bending limiter failure analysis method and system, and the method comprises the steps: constructing a large-scale wave water tank experiment system; a wave flow test is carried out in a large-scale wave water tank experiment system, and three-dimensional terrain evolution data of a scouring pit formed at the single-pile foundation model and dynamic strain response and displacement of the submarine cable bending limiter model are obtained; constructing a hydrodynamic force-sediment transportation-submarine cable motion coupling numerical model according to the three-dimensional terrain evolution data, the dynamic strain response and the displacement; and according to the hydrodynamic force-sediment transportation-submarine cable motion coupling numerical model and different hydrodynamic force conditions, the quantitative relation between the scour range extension and the failure threshold value of the submarine cable bending limiter is determined. According to the scheme, the tensile stress and bending response change rule of the submarine cable and the bending limiter can be quantitatively analyzed, and reference is provided for optimal design and protection of the offshore wind power pile foundation submarine cable bending limiter.

The invention relates to the technical field of section analysis of printed circuit boards, in particular to a section analysis method for PCB positioning cutting, a target abnormal area is positioned on a PCB through an optical microscope, the optical microscope not only can observe the morphology of the surface layer of a sample, but also can observe the morphology within a certain range below the surface layer, and the accuracy of section analysis is improved. And meanwhile, the optical microscope is very sensitive and accurate in color identification, so that compared with the prior art in which the target abnormal area is positioned on the PCB through a scanning electron microscope, the target abnormal area can be more effectively positioned on the PCB, and the purpose of reducing the positioning difficulty of the target abnormal area is achieved. Besides, the positioning layer and the protection layer are deposited in the target abnormal area, so that the cross section sample can be prevented from being physically and chemically damaged in the cutting process on the basis of improving the cutting precision of the cross section sample, and the failure analysis precision of the PCB is improved.

The invention relates to the technical field of chip test vector intelligent generation scheme design, in particular to a failure analysis-oriented chip test vector intelligent generation method and system. The method comprises the following steps: acquiring a chip design netlist, a fault model and a known failure mode; analyzing potential design or manufacturing defects based on the information; and according to an analysis result, a targeted test vector capable of effectively exciting and isolating potential defects is automatically generated. The system comprises a corresponding input module, an analysis module and a generation module. According to the method, the design information, the fault model and the historical failure mode are intelligently fused, automatic and precise generation of the test vector is achieved, and the defects that a traditional method is insufficient in test coverage rate, low in failure positioning efficiency and limited in automation degree are overcome. According to the method, the test completeness and the failure analysis efficiency can be remarkably improved, the dependence on artificial experience is reduced, and an efficient technical means is provided for guaranteeing the reliability of the chip.

The utility model relates to the technical field of batteries, and discloses a pole piece powder removing device which comprises a powder removing mechanism, the powder removing mechanism comprises a vertical moving assembly and a powder removing assembly, the powder removing assembly comprises a powder removing brush, a first pressing ring and a first elastic piece, and the powder removing brush is arranged on the vertical moving assembly; the first pressing ring is elastically connected with the vertical moving assembly through a first elastic piece and arranged outside the powder removing brush in a sleeving mode, the vertical moving assembly is used for driving the powder removing assembly to move in the direction close to the pole piece, when the first pressing ring abuts against the pole piece, the vertical moving assembly continues to drive the powder removing assembly to move, and the first pressing ring is subjected to resistance to enable the first elastic piece to be compressed; and the powder removing brush abuts against the pole piece. The first pressing ring is elastically connected with the vertical moving assembly, the pole piece can be prevented from being damaged when pressed, the powder removing brush removes powder on the pole piece in the first pressing ring, the pole piece can be prevented from moving, all removed powder can be left in the first pressing ring, collection is convenient, the ICP detection requirement is met, and the accuracy of the test result of battery failure analysis is improved.

The invention discloses a micro-copper pillar bump interconnection resistor electromigration degradation prediction method. The method comprises the following steps: obtaining the net flux of Cu atoms in a Cu6Sn5 layer and a Cu3Sn layer and the net flux of Ni atoms in a Ni-Cu-Sn compound layer under forward current and reverse current; establishing a relationship between the net flux of Ni atoms and the thickness change of the Ni-Cu-Sn compound layer and a relationship between the net flux of Cu atoms and the thickness change of the Cu6Sn5 layer and the Cu3Sn layer; establishing a thickness polarity growth model of the Ni-Cu-Sn compound, the Cu6Sn5 layer and the Cu3Sn layer; establishing a thickness polarity consumption model of the Cu bonding pad, the Sn solder and the Ni layer; and establishing a resistance electromigration degradation model of micro-copper pillar bump interconnection. According to the method, the electromigration degradation prediction of the interconnection resistor of the copper pillar bump plated with the Ni layer can be realized, and a large amount of service life and time and economic cost generated by a failure analysis test are greatly reduced or avoided.

The invention provides an MLCC short-circuit product defect position analysis method, and belongs to the technical field of multilayer ceramic capacitor failure analysis. The method comprises the following steps: carrying out rapid leakage current detection on MLCC products for 0.5-2 seconds, and screening out short-circuit products of which the leakage current is greater than a first preset threshold value; products with crack defects are eliminated through an acoustic scanning microscope; gradually applying increased direct-current voltage to the screened crack-free short-circuit product, monitoring leakage current in real time, and terminating the test when the sudden change amplitude of the current exceeds a second preset threshold value; then acoustic scanning is carried out on the protective cover surface and the cutting surface, and two-dimensional coordinates of defect points on the two surfaces are extracted; and calculating the three-dimensional coordinates of the defect in the MLCC through image registration and a spatial inversion algorithm. According to the method, the internal hidden short circuit defect can be identified and positioned in a non-destructive manner, the positioning precision and the analysis efficiency are improved, and the method is suitable for batch failure analysis and manufacturing process optimization.

The invention relates to the technical field of electrical protection, and discloses an electrical equipment protection device with a fault early warning function, which comprises a shell, a circuit board, a sensor group, an alarm component, a main control unit, an early warning execution module and a protection execution module. A cover plate with a visible glass window is arranged in front of the shell, and a display and control buttons are arranged on the circuit board. The sensor group collects operation parameters of electrical equipment, and the main control unit compares a preset threshold value, analyzes historical data, identifies abnormity, predicts fault risks and generates an early warning or protection instruction. And the early warning execution module triggers sound-light alarm and remote communication according to the instruction, and the protection execution module executes operations such as power failure. The electrical equipment protection device with the fault early warning function has the advantages that the operation parameters of the electrical equipment are monitored in real time, the advanced fault analysis algorithm is used for carrying out risk pre-judgment, and an early warning and protection mechanism is triggered in time.

The invention provides an inductor aging failure analysis and prediction method and system based on edge computing, and relates to the technical field of Internet of Things and edge computing, and the method comprises the steps: collecting the physical state and electrical parameter data of an inductor in real time through a multi-source sensor group; carrying out data fusion processing on the edge computing node, and extracting a dynamic feature vector related to aging failure; a dynamic failure threshold value is generated based on historical data, and real-time matching and early warning are achieved; updating a lightweight analysis model by adopting an online learning mechanism to adapt to a nonlinear aging process; the abnormal data and the feature vectors are uploaded to a cloud for failure root cause analysis and global model optimization, and optimization parameters are fed back to edge nodes; and dynamically distributing calculation tasks according to the edge node calculation load. According to the method, the problems of multi-source data fusion, dynamic threshold setting, model lightweight deployment, global optimization and the like are effectively solved, and the accuracy and the real-time performance of aging failure prediction of the inductor device are improved.

The invention belongs to the technical field of lithium ion battery pole piece coating resistance testing, and particularly relates to a method for detecting the consistency of a battery pole piece coating and a testing device. The method comprises the steps that a scraper is adopted to scrape coatings with set thicknesses at multiple positions on the surface of the same pole piece containing the coatings, the set thicknesses of the multiple positions at least comprise three different thicknesses, finally, the resistance values of the positions are measured, and the consistency of the coatings at the positions is judged according to the resistance values. According to the technical scheme provided by the invention, the coatings with different thicknesses are scraped on the same pole piece, and the resistance values of the coatings at different depths are measured, so that the method can be used for evaluating the component difference of the coatings at different depths, and the method has great significance in predicting the consistency performance of the battery. It is found that component distribution uniformity changes caused by drying, volatilization and floating or other reasons in the coating process of the slurry have huge application potential in the aspects of electrode formula development and optimization, production process monitoring, failure analysis and the like.

The invention relates to the technical field of material mechanical property testing, and discloses a composite steel wire tension test method which comprises the following steps: executing a micro-unloading and reloading action at each increment end point of stepping loading, and synchronously calculating to obtain instantaneous system rigidity Ki, dissipated energy Wd and system rigidity change rate K based on force displacement data of the action, according to the method, through a set of built-in judgment rules, firstly, the K value is used for filtering measurement artifacts generated by slippage of the clamp, then the damage inflection point is identified according to irreversible decline of the Ki value, and the physical property of the damage is discriminated in combination with two-dimensional state data of Ki and Wd, so that the traditional one-way destructive test is changed into the traditional one-way destructive test. The method is converted into a staged failure analysis process capable of performing online diagnosis, and provides a direct physical observation window for distinguishing functional damage and structural damage of the material, so that the depth and credibility of information acquisition of the tension test are improved.

The technology includes a system to integrate core and radio network failure analyses using cross-domain matrices. The system pulls core network trace logs from a core network and radio network trace logs from a radio network. The system creates a cross-domain trace log of failed sessions by matching the radio network trace logs with the core network trace logs. The system determines cross-domain matrices by assigning coordinates to the failure categories based on average user device signal strengths and average user device interference levels. The system generates plots of the cross-domain matrices and analysis recommendations for display to a user based on the cross-domain matrices.

The invention relates to an equivalent activation energy obtaining method and device, computer equipment, a readable storage medium and a program product. The method comprises the following steps: carrying out stress profile analysis on the electronic device to obtain a target environment parameter corresponding to the electronic device, constructing a target storage environment according to the target environment parameter, carrying out long-term storage failure analysis on the electronic device in the target storage environment to obtain sensitive stress corresponding to the target storage environment, and carrying out storage failure analysis on the electronic device in the target storage environment to obtain the sensitive stress corresponding to the target storage environment. Carrying out an accelerated storage test on the electronic device based on the sensitive stress, obtaining a single activation energy parameter corresponding to the electronic device, obtaining a failure acceleration coefficient and a stress weight corresponding to the target storage environment, and obtaining the failure acceleration coefficient and the stress weight corresponding to all the target storage environments according to the single activation energy parameter and the failure acceleration coefficients and the stress weights corresponding to all the target storage environments. And obtaining the equivalent activation energy of the electronic device. The method can accurately evaluate the service life of the electronic device.

The invention discloses a distribution line early fault anti-interference identification and positioning system, which relates to the technical field of power system fault monitoring points and comprises a signal acquisition module, a signal extraction module, an early fault analysis module and an early fault positioning module. The signal acquisition module is used for acquiring circuit signals through a sensor and recording sensor information, and the circuit signals comprise electrical information and non-electrical information; the signal extraction module is used for acquiring an electrical waveform according to the circuit signal, and performing wavelet decomposition on the electrical waveform by using wavelet transform to acquire a feature vector; the influence of non-electrical information on electrical information is fully considered, so that the early fault type identification capability under the influence of the non-electrical information is improved, the anti-interference capability is enhanced, the early fault position can be positioned, the early fault can be found and processed in time, the distribution line is kept in a good operation state, and the power distribution efficiency is improved. And power failure caused by faults is avoided.

The chain vector results are analyzed to identify a faulty scan chain in the circuit and a fault associated with the faulty scan chain. The scan vector results are analyzed to identify one or more faulty scan element candidates on the faulty scan chain. An analog simulation is then performed to identify a faulty component candidate of the one or more faulty scan element candidates. During the process, a component of each of the one or more faulty scan element candidates that is sensitive to a change in signal at an input of each of the one or more faulty scan element candidates may be determined. Physical failure analysis may be performed on the circuit to locate one or more defective components in the faulty component candidates.

The present application relates to a power failure detection method and system for an air conditioning device. The method includes respectively obtaining the main board voltage detection value, transformer voltage detection value, and plug voltage detection value when the air conditioning device is powered on, and performing data cleaning processing to obtain the preprocessed air conditioning operation data. Furthermore, a power phase waveform among the main board, transformer, and power plug of the air conditioning device is drawn, and the power phase sequence balance relationship of the air conditioning device is analyzed. The abnormal power phase sequence is analyzed in combination with the historical fault data of the air conditioning device and the power phase sequence balance relationship. According to the analysis results, a power failure analysis model for analyzing the power failure of the air conditioning device is constructed. The power failure analysis model performs power failure analysis on the power phase data in the power failure state of the air conditioning device to obtain the power failure detection data corresponding to the current power failure phase. The present application has the effect of improving the intelligent degree of power failure detection of the air conditioning device.

The invention provides a gate-source short-circuit SiC MOS device failure analysis method and related equipment, and the method comprises the steps: responding to the determination that the functional characteristics of a source and a drain have no abnormal conditions, carrying out the analysis of the cause of a short-circuit fault of a gate and the source based on the characteristics of a silicon carbide material and an MOS device failure mechanism, and carrying out the analysis of the short-circuit fault of the gate and the source. Comprising the following steps: judging whether gate source chemical lap joint caused by internal water vapor exists or not through a dry chip; unsealing the chip to expose the interior of the chip, testing the chip, and judging whether a metallization layer migration short circuit caused by high temperature occurs or not; analyzing whether breakdown caused by high electric field stress exists in the gate oxide layer; according to the failure analysis method provided by the invention, the reason of the failure of the SiC MOS device can be accurately analyzed, and the problem that the microdefect of the SiC MOS device cannot be positioned by a traditional means is solved.

The invention discloses a cluster fault management method and apparatus, an electronic device and a medium. The method comprises the steps of obtaining performance index data of a multi-field unit in a cluster; constructing a dynamic fault propagation model of the cluster through the performance index data based on the graph model; according to the dynamic fault propagation model, constructing four-dimensional fault visualization based on a time sequence; and cluster fault analysis is carried out through four-dimensional fault visualization. Therefore, on the basis of the time sequence, the performance index data of the different field units are constructed into the dynamic fault propagation model, cross-domain fault positioning, analysis, monitoring and deduction based on the time axis are realized, cross-domain fault space-time correlation splitting caused by independent fault monitoring of each field unit is avoided, and the fault positioning efficiency and accuracy are improved. In addition, based on the four-dimensional fault visualization expression of the time sequence, the multi-screen switching monitoring complexity of operation and maintenance personnel is reduced, and the cluster fault management efficiency is improved.

The invention discloses a transparent soft material drawing failure analysis method and system, a terminal and a medium, and the method comprises the steps: bonding one surface of an optical adhesive layer to any transparent thin plate (such as an acrylic thin plate), and bonding the other surface of the optical adhesive layer to a lower-layer glass plate of a loading device, after the acrylic thin plate and the upper-layer glass plate of the loading device are laminated and cured, the loading device is controlled to perform vertical drawing loading on the optical cement layer so as to complete the drawing damage test; acquiring a test image of cavitation evolution in the drawing failure test process of the optical adhesive layer and mechanical data corresponding to the test image in the drawing failure test process; and carrying out cavitation feature extraction and trajectory tracking processing on the test image to obtain a cavitation time cone graph of the cavitation evolution process, and obtaining a critical stress distribution diagram of cavitation initiation according to the test image and the mechanical data. According to the invention, synchronous high-precision observation and analysis of mechanical response and optical evolution in the material damage process can be realized.

The invention discloses a vehicle control software function failure analysis method and related equipment, and relates to the technical field of Internet of Vehicles, and the method comprises the steps: obtaining operation log data corresponding to a target function failure event; based on a preset mapping model, determining a target signal identifier and a fault judgment rule associated with the target function failure event; according to the target signal identifier, extracting a signal sequence in a preset time window from the running log data; performing multi-stage verification on the signal sequence to obtain a signal verification result; and determining the fault type of the target function failure event based on the fault judgment rule and the signal verification result. According to the method, the mapping model is constructed, the signal sequence is extracted through the dynamic time window, hierarchical diagnosis is performed in combination with a progressive multi-stage verification mechanism, faults of an application layer, a communication layer and a hardware layer are accurately positioned, and the vehicle control function failure diagnosis efficiency and accuracy are improved.

The invention discloses a die-casting die material thermal fatigue testing device, which relates to the field of material performance testing, and comprises a shell, a support frame, a clamp, a first temperature measuring component, a die temperature controller, a molten metal heating device, a molten metal conveying mechanism, a molten metal spraying mechanism, a release agent spraying mechanism, a release agent supply mechanism and a control system, one end of the molten metal spraying mechanism is located in the shell, and the other end of the molten metal spraying mechanism is located outside the shell and connected with the molten metal heating device through the molten metal conveying mechanism. One end of the release agent spraying mechanism is located in the shell, and the other end of the release agent spraying mechanism is located outside the shell and connected with the release agent supply mechanism. The first temperature measuring component is arranged in a test piece, an outlet of the mold temperature controller is connected with an inlet of a runner in the test piece, and an inlet of the mold temperature controller is connected with an outlet of the runner in the test piece. The device solves the problems of temperature field distortion, insufficient multi-physical field coupling and low efficiency, and realizes high-precision and high-efficiency service life prediction and failure analysis of the die-casting die.