78 results about "Thermal analysis" patented technology

The invention discloses a thermal analysis method of a heterogeneous material combined component considering multi-scale contact thermal resistance, and belongs to the technical field of aero-engine thermal management. The method comprises the following steps: firstly, establishing a period calculation model of a CMC outer ring and metal casing combined member, secondly, setting anisotropy of CMC heat conduction according to geometric profile change of a gas outer ring, and finally, introducing an empirical relation expression of contact thermal resistance by setting equivalent heat conduction of a contact area between the CMC outer ring and the metal casing in CFD calculation. The difference between the two is explored by comparing the temperature field results of the combined component with or without the contact thermal resistance, and the influence of the contact thermal resistance on flowing heat exchange is explored. According to the method, by considering the multi-scale contact thermal resistance between different materials, the influence of the contact thermal resistance on the turbine flow heat exchange result is researched, meanwhile, the temperature field of the turbine component in CFD calculation is corrected, and a guidance basis is provided for improving the prediction precision of the temperature result of the gas turbine component under the complex gas thermal load.

The invention relates to the field of heating characteristics of samples, and particularly provides a macro sample temperature jump type in-situ thermal analysis system and a macro sample temperature jump type in-situ thermal analysis method. The system is characterized in that a driving unit is arranged on a guide rail and is suitable for doing vertical movement along the guide rail; the guide rail is perpendicular to the ground; the tubular electric heating reaction unit is connected with the driving unit, and after the tubular electric heating reaction unit is heated to a target temperature, the driving unit drives the tubular electric heating reaction unit to move to the periphery of the sample placing unit, so that a macro sample in the sample placing unit is instantly heated; the accuracy of analyzing the thermogravimetry of macroscopic samples and the precipitation characteristics of volatile matters in simulated industrial application can be improved; the balance measuring unit is connected above the sample placing unit, and the initial position of the tubular electric heating reaction unit is located at the lower end of the guide rail, so that the sample placing unit and the balance measuring unit are kept stable in the process of placing a macroscopic sample into the sample placing unit, and the weighing error during sample weighing and sample reaction is reduced.

The application provides a MEMS differential thermal analysis sensor and a DTA / DSC testing method, the sensor comprising a detection thermocouple, a reference thermocouple, an ambient resistance and a shielding ring, wherein the detection thermocouple and the reference thermocouple each comprise a single crystal silicon substrate, a heat insulation cavity, a plurality of single crystal silicon thermocouple pairs and a supporting film, the heat insulation cavity is located in the single crystal silicon substrate, the plurality of single crystal silicon thermocouple pairs are connected in series and are supported by the supporting film to be suspended above the heat insulation cavity to achieve thermal isolation, and the single crystal silicon thermocouple pair comprises an N-type single crystal silicon thermocouple and a P-type single crystal silicon thermocouple connected in series, the temperature and power sensitivity of the sensor are significantly improved, reach 28 mV / K and 100 V / W, and the noise equivalent temperature difference and the noise equivalent power reach 0.5 mK or 0.2 muW. Based on the output signal of the sensor, differential thermal analysis testing and differential scanning calorimetry testing on physical or chemical processes of material heat absorption and release can be realized, the sample consumption is small, and the testing precision is high.

The invention provides a cyclotron electrostatic deflection plate beam loss heat source reconstruction method, and relates to the technical field of particle accelerator thermal analysis and multi-physics field coupling calculation, and the method comprises the steps: 1, configuring beam dynamics simulation parameters, multi-particle tracking is carried out under a three-dimensional field graph containing a central area electromagnetic field, a harmonic coil magnetic field and an electrostatic deflection electric field, and a particle loss list is generated; step 2, transferring the particle loss list into a beam source file of a Monte Carlo radiation transport program, configuring Monte Carlo parameters including a deflection plate material, a boundary, a particle type and an energy spectrum, executing particle transport simulation, and obtaining a three-dimensional energy deposition matrix on an electrostatic deflection plate element; according to the method, high-resolution heat source reconstruction is realized, the peak temperature rise calculation error of the deflection plate can be reduced, a temperature field solving result can be fed back to optimize the particle source, and a reliable basis is provided for thermal structure design and cooling optimization of the electrostatic deflection plate.

A system for the simultaneous thermal analysis of a plurality of single samples of, in particular biological, material by means of differential scanning calorimetry, with at least one sample carrier having several sample vessels, wherein a single sensor for measuring an amount of heat emitted or absorbed by the single sample during the thermal analysis is assigned to each sample vessel; a heating and / or cooling unit for the simultaneous temperature application of the single samples included in the sample vessels, with a receptacle for the at least one sample carrier; a measuring instrument, which is connected to the single sensors and which is formed to simultaneously capture a measuring value for the emitted or absorbed amount of heat of the single samples during the thermal analysis, a sample carrier, in particular for use in this system as well as a method for the simultaneous analysis of a plurality of single samples or groups of single samples by means of differential scanning calorimetry.

This invention provides a method and system for inspecting and detecting cracks on the surface of radiation-shielding concrete walls. The method includes establishing a three-dimensional finite element model of the wall, inputting real historical temperature data for transient thermal analysis and thermal-structural coupling analysis, identifying areas with maximum principal tensile stress or temperature gradients exceeding thresholds as high-risk areas, assigning high weights to the meshes of high-risk areas, and planning inspection paths; a mobile inspection platform automatically acquires images along the path, synchronously recording and storing the three-dimensional spatial coordinates of each image through a high-precision positioning module; inputting the images into a deep learning instance segmentation network to obtain a crack segmentation mask, extracting the skeleton based on the mask to calculate the crack length and width, and converting the pixel size to physical size by combining camera intrinsic parameters and shooting distance to generate a crack list. This invention achieves risk prediction, accurate data acquisition, and quantitative measurement of radiation-shielding walls, significantly improving inspection efficiency and detection accuracy.

The invention discloses a thermal performance analysis method for a protective layer of a lunar base and a protective layer structure. The method comprises the following steps: establishing a thermal balance equation including solar radiation, lunar internal heat, non-blackbody radiation and lunar albedo radiation; performing thermal analysis based on a heat transfer theory basic theory equation and a heat balance equation to obtain a thermodynamic micro-equation of the lunar surface and the protective layer; solving the obtained thermodynamic micro-equation to obtain temperature field distribution; determining the relationship between the lunar soil protective layer thickness and temperature fluctuation based on finite element analysis; and determining the thickness of the lunar soil protective layer based on the relationship between the thickness of the lunar soil protective layer and temperature fluctuation, and constructing the protective layer based on the determined thickness of the lunar soil protective layer. By adopting the method and the protective layer, the protective capability of the protective layer structure is improved.

This invention discloses a method for testing the crosslinking degree of hard carbon precursors and a method for predicting the capacity of hard carbon, belonging to the technical field of performance evaluation of battery anode materials. The method includes the following steps: preparing a control sample and a test sample of the precursor; collecting infrared spectral data of the control sample and the test sample under the same conditions; extracting the peak area of ​​characteristic functional groups in the infrared spectral curves using peak fitting; calculating the crosslinking degree of the hard carbon precursor according to a formula; verifying the accuracy of the detection method using conventional dynamic mechanical thermodynamic analysis; and establishing a mathematical relationship between the crosslinking degree of the precursor sample and the specific capacity of the derived hard carbon. This allows for the measurement of the crosslinking degree of the precursor sample and the prediction of the sodium storage capacity of the hard carbon anode material. Compared with existing technologies, this invention has stronger universality, simpler operation, quantitative analysis, and better data stability, making it an advanced detection technology for hard carbon anode materials.

The present application relates to a kind of thermal analysis and material characterization technical field, it is a kind of material pyrolysis behavior simulation method, device, electronic equipment and storage medium based on chemical and element composition, including input target sample's basic data to composition-parameter mapping model, obtain the predicted parameter of each thermal decomposition stage, wherein composition-parameter mapping model is obtained using multiple samples for deep learning;Using the predicted parameter of each thermal decomposition stage generates the simulated thermogravimetric curve of target sample quality with temperature or time change, and numerical differentiation is carried out to simulated thermogravimetric curve, obtains simulated differential thermogravimetric curve.The present application can simulate to obtain thermogravimetric curve and differential thermogravimetric curve according to chemical composition, element composition and thermogravimetric experiment condition without real thermogravimetric experiment, break the original thermogravimetric curve for the limitation of obtaining dependence on thermogravimetric experiment, eliminate the cost and time required for thermogravimetric experiment, reduce the cost of thermogravimetric curve acquisition, improve acquisition efficiency.

The present application relates to the technical field of metal smelting, and particularly relates to a multi-gun top blowing continuous blowing intelligent system and method. The system comprises a data acquisition module, an analysis processing module and a prediction feedback module; the method comprises real-time monitoring of the temperature, liquid level and material state in the furnace, and real-time transmission to a central data processing platform for intelligent feedback control; dimension reduction is performed on the sensing data in the smelting process, and the least principal component with a contribution rate of more than 80% is extracted to realize dimension reduction processing; thermal analysis is performed using material and energy balance equations to construct a theoretical model of the blowing process, capture long-term dependence relationships and predict dynamic parameter changes in the smelting process; an interactive model of the intelligent agent and the smelting environment is constructed to update the control strategy in real time and adaptively adjust the production parameters. The present application improves the low-altitude pollution problem caused by converter blowing, overcomes the low efficiency of current intermittent smelting, and realizes a continuous and stable production process.

The application provides an electrothermal analysis method and system for a phase change memory, comprising: proportionally dividing a phase change layer of the phase change memory into a plurality of sub-regions with the same volume; determining a doping proportion of the doping material, and calculating the number of sub-regions occupied by the doping material according to the doping proportion; randomly selecting a corresponding number of sub-regions to fill the doping material according to the calculated number of sub-regions, and filling the remaining sub-regions with a phase change material; determining electrothermal parameters of the doping material, the phase change material, an upper electrode, a lower electrode and an insulating and heat-insulating layer; determining boundary conditions and current parameters of the phase change memory; the boundary conditions are thermal boundary conditions, and the current parameters are RESET / SET current pulses; and combining the above-mentioned electrothermal parameters, current parameters and boundary conditions to perform thermal simulation analysis on the phase change memory, so as to determine the temperature field distribution inside the phase change memory after the phase change memory receives the RESET / SET current pulses, and further analyze the phase change region inside the phase change memory and the RESET / SET power consumption.

The application relates to the technical field of composite material analysis, and discloses an online thermal analysis method and system for composite materials and a storage medium, which comprises multi-physical field coupling modeling, a thermal response coupling model containing solid-gas phase interaction is constructed, a correlation relationship between parameters and temperature and decomposition reaction progress is established, spatial discretization is carried out by using the Galerkin method, a thermal response differential equation set is solved by using an implicit or explicit time stepping algorithm, temperature field distribution, mass loss and carbon layer formation data are obtained, the carbon layer formation standard is that the mass fraction of a matrix is reduced by 20%, the carbon layer thickness is calculated by mass loss, a mechanical property parameter model is established, and the residual strength after a fire is calculated, and a temperature-time curve, residual strength distribution and parameter sensitivity analysis report can be visually displayed on an online platform. The application realizes full-process analysis from thermal response simulation to residual strength evaluation, improves prediction accuracy, and reduces the application threshold.

The present application relates to a kind of two-color infrared temperature calibration methods for space station containerless material experiment, obtain the temperature variation of space station containerless material experiment.Heating temperature-time curve of sample measured under the preset certain two-color infrared slope, then mark the characteristic temperature on temperature-time curve, according to the single-color radiant intensity ratio invariable relationship, two-color infrared slope, characteristic temperature and the phase transition temperature obtained by phase diagram or thermal analysis experiment are substituted into the established equation relationship.The correction value of two-color infrared slope is solved, the correction value is substituted back into the equation relationship, and all the temperature data obtained are substituted into one by one, and the corresponding calibration temperature is solved.So far, the corrected two-color infrared slope and the calibrated temperature-time curve are obtained.The method proposed in the present application does not need to rely on thermocouple, and does not need to construct model in advance under the same environment and fit parameters, and the calibrated two-color infrared temperature can be controlled within a smaller error range at the characteristic temperature.

The invention relates to a composite material fused deposition modeling process simulation method based on an interlayer variable path strategy, and the method comprises the following steps: carrying out APDL parameterized language programming according to ANSYS finite element software, and building a finite element model module; adding corresponding attributes including specific heat capacity, thermal conductivity, density, elasticity modulus and the like according to composition materials in the composite material; grid division is conducted on a forming part module, variable-layer-height grid division is conducted on the module according to the proportion of composition materials in the composite material, and the forming process of the composite material is simulated; performing birth and death unit processing on a formed part, activating different interlayer units according to a selection sequence and a formulated printing path in a control unit numbering manner, and simulating an interlayer variable-path forming process; the temperature field obtained after transient thermal analysis serves as a thermal load to be imported into a structure field to be solved, and a temperature field cloud picture, a thermal stress field cloud picture and a strain field cloud picture of the interlayer variable-path printing composite material are obtained; a printing simulation result is analyzed and compared with an actual printing result, errors are reduced, actual printing is guided through the optimized interlayer path and other technological parameters, and the overall forming precision is improved.

A multi-field coupling-based thermal characteristic analysis method for an extra-high-voltage direct-current isolating switch comprises the following steps of: 1, establishing a three-dimensional geometric model of a conductive structure of the extra-high-voltage direct-current isolating switch, and simplifying the structure according to a simulation precision requirement; 2, importing the three-dimensional geometric model obtained in the step 1 into simulation software, applying rated current excitation to the conductive structure in the simulation software, and calculating current density distribution in the conductor and Joule thermal power generated by the current density distribution; 3, coupling the thermal power field obtained in the step 2 with a heat conduction field, and constructing an electric-thermal multi-physical field joint simulation model; 4, setting temperature-related physical property parameters and environment boundary conditions of the material, and performing transient thermal analysis to obtain temperature distribution and thermal characteristics of the disconnecting switch in an operation state; through the steps, the thermal characteristic analysis of the extra-high voltage isolation switch based on multi-field coupling is realized.

This invention provides a means to perform differential scanning calorimetry analysis more cost-effectively, simply, and quickly. [Solution] A system for simultaneous thermal analysis of multiple single samples, particularly biological materials, by differential scanning calorimetry (DSC) comprises a sample carrier having multiple sample containers, each sample container assigned a single sensor for measuring the amount of heat released or absorbed from a single sample during thermal analysis; a heating and / or cooling unit having a receptacle for the sample carrier and for simultaneously applying temperature load to the single samples contained in the sample containers; and a measuring instrument connected to a single sensor and configured to simultaneously acquire measured values ​​of the amount of heat released or absorbed by a single sample during thermal analysis. Furthermore, a sample carrier for use in this system and a method for simultaneously analyzing a single sample or a group of single samples by differential scanning calorimetry (DSC) are provided.

The invention provides a bluff body steel box girder temperature field determination method based on convective heat transfer coefficient correction. The method comprises the following steps: S1, analyzing section wind field characteristics of the bluff body steel box girder based on CFD software; s2, constructing an influence model of the aspect ratio uniform section parameter change on the steel box girder wind field, performing regression analysis on a calculation result, and establishing a calculation formula and a value suggestion quantity of each surface wind speed correction coefficient of the bluff body steel box girder under the condition of different aspect ratios; s3, respectively establishing steel box girder thermal analysis models before and after convective heat transfer coefficient correction; s4, the accuracy of the convective heat transfer coefficient correction method in bluff body steel box girder temperature field simulation is checked through bridge field actual measurement temperature data; s5, analyzing a bluff body steel box girder temperature field change rule under the condition of different aspect ratios, and finally establishing a bluff body steel box girder temperature field determination method suitable for different section parameters; the accuracy and reliability of the bridge temperature field analysis result can be improved.

The present invention discloses a method and system for simulating minute mass changes during the preparation of a high-nickel cathode material. The method comprises the following steps: subdividing the two main reaction processes of the high-nickel cathode material based on chemical reaction mechanisms and expert knowledge; studying the precursor element and the lithium source LiOH·H2O element involved in the sintering process of the high-nickel cathode material based on the segmented results; obtaining the particle number variation pattern of each chemical substance based on the Arrhenius formula and reaction kinetics formula in combination with corresponding experimental data; studying the differences between the reaction processes of the element and the mixture based on data and information from non-isothermal thermogravimetric experiments and differential scanning calorimetry thermal analysis experiments; and finding the coupling parts between the reactions based on the differences between the two types of element reactions and the mixture reactions in combination with mechanism analysis; studying the coupling parts, and proposing a modeling method for the corresponding coupling parts based on experimental data and chemical mechanisms. The variation relationship of the reaction coupling parts at different heating rates is obtained, and a parameter identification method is used to solve the parameters within the functional relationship obtained for each reaction coupling part.

The invention relates to a metallurgical quality control method for vermicular graphite cast iron. The method comprises the steps that parameters in the melt vermicularizing process are collected in real time, and a process data set is generated; establishing a dynamic differential equation set comprising four stages of dissolution, diffusion, reaction and recession, and outputting effective vermicularizing element concentration time sequence data by solving the dynamic differential equation set; differentiating a cooling curve in the process that the melt is solidified to form the casting to obtain a cooling curve characteristic value, calculating a current vermicularizing rate predicted value and a vermicularizing change rate through a thermal analysis model, calculating real-time temperature field distribution and pressure field data, and calculating a shrinkage tendency index of each area of the casting through multi-physics field coupling, and dynamically adjusting the adding amount of the vermiculizer and the electromagnetic stirring parameters according to the index and the vermicularizing change rate. According to the method, through real-time monitoring, multi-physics field coupling analysis, dynamic adjustment of technological parameters and the like, the regulation and control capacity on the melt vermicularizing process and the casting quality is improved, and effective control over the shrinkage porosity defect is achieved.

The invention provides a building infrared three-dimensional model automatic generation method based on fusion of an infrared image and a multi-view photographing model, and relates to the technical field of building infrared modeling. The double-camera unmanned aerial vehicle is driven through the preset path, and infrared and visible light images of a building are synchronously collected; and constructing a multi-view three-dimensional model by using the visible light image. And for each infrared image, analyzing the GPS coordinate and the yaw angle, and determining the spatial position and attitude of the infrared camera in the local coordinate system through coordinate transformation. Calculating the ray direction of each pixel based on the field angle, the resolution and the pose of the camera; camera coordinates are used as starting points, and model surface intersection points are obtained through ray-triangular surface intersection; and mapping the pixel temperature value to the intersection point, and correcting the mapping temperature according to a distance / incident angle / consistency weighting rule to realize the fusion of the thermal information and the geometric model. According to the method, the problem of space registration of infrared data and a three-dimensional model is solved, and the building thermal analysis precision is improved.

This invention discloses a selenite crystal and its preparation method. X-ray powder diffraction of the selenite crystal, measured using Cu-Kα radiation, yielded diffraction angles (expressed as 2θ) of 17.7°±0.2°, 19.5°±0.2°, 20.0°±0.2°, 22.9°±0.2°, 24.5°±0.2°, 24.9°±0.2°, 26.2°±0.2°, 29.8°±0.2°, 30.2°±0.2°, 31.4°±0.2°, and 33°. Characteristic peaks are observed at 0°±0.2°, 34.3°±0.2°, 35.8°±0.2°, 36.6°±0.2°, 37.4°±0.2°, 37.5°±0.2°, and 38.4°±0.2°. A characteristic endothermic peak is observed at 73.4℃ in the differential scanning calorimetry (DSC) spectrum of the crystal. This invention features a simple preparation route, mild reaction conditions, convenient operation, low cost, and good process reproducibility. The prepared selenite has a stable crystal form, making it suitable for large-scale industrial production of pharmaceutical raw materials.

This invention provides a method for diagnosing condensation degradation in vector thermal analysis. The method includes: performing a thermal analysis reaction on the sample to obtain thermogravimetric data and three-dimensional mass spectrometry data of the gaseous phase; calculating the total mass change of the sample; analyzing the three-dimensional mass spectrometry data using the equivalent characteristic spectrum method to obtain the total mass change of all gaseous components; and determining the classification of condensation degradation based on time correlation coefficients. The classification of condensation degradation includes: condensation tailing defects, condensation drift defects, memory effect defects, and secondary reaction defects. This invention utilizes mass spectrometry in vector thermal analysis to qualitatively and quantitatively analyze the escaping gases during the thermal analysis reaction process. By comparing the mass yield of all gaseous components with the weight loss rate of the solid and liquid phases in the thermal analysis, and using a time correlation and mass balance system, it provides real-time intelligent diagnosis of condensation degradation phenomena and possible types occurring in the escaping gases during detection.

A film formation method having an excellent mass productivity, whereby a time required for forming a film having a desired thickness is short. In the film formation method, the following steps are performed: atomizing or dropletizing a liquid containing a metal complex, the liquid being raw material solution, conveying resulting mist or droplets to a base by a carrier gas, and forming a metal oxide file on the base by thermally reacting the mist or droplets in the vicinity of the base, the metal oxide film comprising a crystalline oxide semiconductor. A metal complex is used, which shows an exothermic peak at 480° C. to 520° C. in a thermogravimetric-differential thermal analysis at a temperature increase rate of 20° C. / min under an oxygen-containing atmosphere.

The invention belongs to the technical field of integrated circuit computer aided design / electronic design automation, and relates to a chip active thermal management method adopting a rapid and accurate temperature predictor. According to the method, a steady-state thermal analysis solver based on random walk suitable for a mixed boundary condition is improved by utilizing the characteristics that only a power diagram at a heat source changes and a geometrical shape, material parameters and boundary conditions are unchanged in a thermal management process, and a changed power item is separated from other fixed parts; in the off-line stage, fixed geometrical shapes, material parameters and boundary conditions are pre-calculated and stored, and microsecond-level rapid prediction of the hot-spot temperature is achieved through vector multiplication during chip operation. According to the method, partial inversion is carried out on a large-scale matrix constructed by a compact thermal model based on finite difference by utilizing a random method. And task mapping and dynamic voltage frequency regulation measures are combined, so that extremely high chip working frequency can be kept while all thermal conflicts are eliminated. The method has the advantages of no discretization, high calculation efficiency, natural parallelism and the like.

This invention provides a laminate comprising a substrate layer, a gas barrier layer, and a sealant layer. The sealant layer is located on the outermost surface of one side of the laminate. The sealant layer is a resin layer comprising poly(3-hydroxybutyrate-copolymer-3-hydroxyhexanoate) and has at least one peak temperature (Tma) in the range of 130°C to 160°C in a crystallization melting curve obtained by differential scanning calorimetry.

A two-step synthesis of SiC including initial exposure of carbon surfaces to Si vapor, followed by Si melt infiltration, is described herein. Interrupted differential thermal analysis (DTA) of amorphous C and Si powder mixtures and microstructure characterization are used to identify the stages of the reaction. Exposure to Si vapor yields a SiC layer with nanoscale porosity driven by the volume change associated with the reaction. This forms a continuous pore network that promotes subsequent melt access to the reaction front with the C. While the pores remain open, the vapor phase reaction proceeds at a nearly-constant rate and exhibits a strong temperature sensitivity, the latter due largely to the temperature sensitivity of the Si vapor pressure. The implications for enhancing the reactive melt infiltration process and fabrication of SiC matrices for ceramic composites are discussed.

The invention discloses a thermotechnical analysis model establishment method and device and a containment integrity analysis method and system, and relates to the technical field of nuclear industry. The establishment method comprises the following steps: acquiring a room model; according to the room model, a control body surface form, a flow channel form and a heat absorption structure form are determined; determining a thermotechnical analysis model input file according to the control body surface form, the flow channel form and the heat absorption structure form; and establishing the thermotechnical analysis model according to the thermotechnical analysis model input file. According to the embodiment of the invention, the thermotechnical analysis model can be accurately and quickly established, so that the working efficiency of designers can be improved.

The invention relates to the technical field of thermal monitoring and metering, in particular to a complex environment thermal temperature dynamic monitoring and metering system fusing a digital twinborn technology, which comprises a physical sensing layer, a digital twinborn modeling layer, a data fusion layer, a dynamic metering layer and an application interaction layer, the physical sensing layer comprises a distributed fiber grating sensor array, an infrared thermal imaging module and a miniature wireless temperature node, and is used for collecting multi-dimensional temperature data of a complex environment; the digital twinborn modeling layer comprises a geometric modeling engine, a thermal characteristic mapping module and a real-time rendering engine, through heat flow-temperature coupled digital twinborn modeling and Kalman dynamic compensation, the metering precision of + / -0.05 DEG C is realized, the problem of error accumulation in a complex environment is solved, and compared with a traditional system, the error accumulation is improved by more than 90%; the Pi-type sensing layout and the STA-Fus ion fusion network realize 0.1 m spatial resolution and 10kHz time response rate, can capture a tiny temperature gradient and a rapid change process, and provides fine data for thermal analysis.

The application relates to a detection warehouse transfer system based on nuclear fuel graphite sample testing, which comprises a first detection system, a second detection system, a sample connection platform, an AGV conveying trolley, a graphite carrier, a first intelligent warehouse and a second intelligent warehouse, the first detection system comprises a graphite powder loose bulk density detector, a falling ball test device, a crushing load test device, a wear test device, a graphite ball density detection device, a corrosion test device, a thermal analysis test device, an equivalent detection device, a uranium pollution rate and Li content detection device and the like, and the second detection system comprises a pneumatic transmission device, a coating detection device, a loose layer density detection device, a core detection device, a central control analysis detection device and a particle density detection device. The application has the beneficial effects that the automatic warehouse circulation of the graphite samples in the forms of spheres and powders can be adapted to the detection of various detection devices, the detection efficiency of the graphite samples is improved, and wall surface repeated detection and missed detection are avoided.