1371results about "Material heat development" patented technology

The invention discloses a damping thermal insulation material performance evaluation method and system for a battery pack, and relates to the technical field of battery pack thermal management, and the method comprises the steps: extracting a calibration sample set, applying transient thermal excitation, and collecting an infrared thermal image sequence to extract thermal response features; performing industrial CT scanning to obtain defect quantitative indexes, and forming a calibration data set with the thermal response characteristics; establishing a quantitative correlation model based on the calibration data set, and determining a batch quality threshold according to model output distribution; executing the same excitation and collection on an online sample to be detected to extract the characteristics of the sample, inputting the model to obtain a defect quantitative prediction value, comparing the defect quantitative prediction value with a batch quality threshold, and outputting an evaluation result; when a preset period or a trigger condition is met, a new sample is supplemented and extracted, and newly added calibration data is obtained to update the model and the threshold value. According to the method, accurate material performance evaluation is provided by establishing a quantitative model of thermal response characteristics and defect quantitative indexes, and evaluation consistency and stability are enhanced through a dynamic updating mechanism.

The invention provides a constructional engineering concrete compressive strength detection method and system.The method comprises the steps that multi-modal information of a to-be-detected concrete member for constructional engineering is collected, and the multi-modal information comprises rebound data, ultrasonic data, resistivity data and temperature data; constructing a hybrid prediction model; and outputting compressive strength data according to the mixed prediction model, and visually displaying the compressive strength data. According to the method and the system for detecting the compressive strength of the constructional engineering concrete, disclosed by the invention, multi-modal information such as ultrasonic, rebound, resistivity and temperature of the to-be-detected concrete member is input into the mixed prediction model for compressive strength prediction, and the model can be used for more accurately processing nonlinear and high-dimensional characteristics in data; a transfer learning mechanism is introduced, so that the model adapts to changes of different regions and materials under limited training data, and the generalization ability and accuracy of prediction are improved. And the compressive strength data is visually displayed, so that the analysis efficiency of engineers is improved.

The invention relates to the technical field of concrete pole damage monitoring, and discloses a concrete pole damage monitoring method based on modal recognition, comprising the following steps: S1, multi-modal data acquisition; s2, edge side real-time processing and micro-damage identification; s3, performing model diagnosis based on cloud depth; s4, performing digital twin driven damage evolution prediction; and S5, performing dynamic risk assessment and decision support. According to the method, through synchronous acquisition and fusion of multi-source data, the limitation of a single sensing mode is overcome, multi-dimensional and cross-modal collaborative recognition of the microcrack germination stage is realized, and the sensitivity and reliability of early damage detection are remarkably improved; a lightweight damage identification model is deployed on the edge side, so that the instant early warning requirement of micro-damage germination is met; damage positioning and degree evaluation are carried out through the cloud based on a multi-modal fusion deep learning model, an efficient collaborative architecture of edge real-time early warning and cloud accurate diagnosis is formed, and the system response speed and decision accuracy are greatly improved.

The invention belongs to the technical field of TG-DSC testing of metal powder materials, and particularly relates to an anti-oxidation high-precision TG-DSC testing method of high-temperature alloy powder, which comprises the following steps: placing the high-temperature alloy powder in a furnace body of a TG-DSC instrument, carrying out high-purity argon replacement on the atmosphere in the furnace body by taking high-purity argon as furnace body purging gas, and carrying out high-purity argon replacement on the atmosphere in the furnace body; the initial oxygen content in the furnace body is reduced to 0.1 ppm or below; continuously introducing hydrogen-argon mixed gas as flowing gas into the furnace body, controlling the temperature of the furnace body to be increased to a target temperature, and ending the test to obtain a TG curve and a DSC curve of the to-be-tested high-temperature alloy powder; according to the invention, through physical cleaning of oxygen in the furnace body by circulating vacuumizing before testing and chemical cleaning of oxygen permeating into the furnace body by hydrogen-argon mixed gas in the whole process in the testing process, a dual anti-oxidation barrier is constructed, so that oxidation weight increment and oxidation heat release interference of a powder sample are eliminated fundamentally; therefore, the real mass change and the heat flow signal change of the alloy powder sample in the temperature programming process can be accurately measured.

The invention discloses a system and a method for rapidly screening illegal additives of health care products based on multispectral imaging, relates to the technical field of health care product detection, and aims to solve the problem of low detection accuracy caused by the fact that an embedding structure hinders spectral signal penetration in the prior art. The system comprises an embedding material characteristic analysis module, a targeted crushing parameter calculation module, a microcapsule crushing execution module, a multispectral imaging module and an illegal additive identification module, the embedding material characteristic analysis module is used for acquiring characteristic parameters of an embedding material in the microcapsule embedding type health care product, and the characteristic parameters comprise hardness, thickness, elastic modulus, thermal decomposition temperature, Poisson's ratio and thermal expansion coefficient of the embedding material; and the targeted fragmentation parameter calculation module is used for receiving the characteristic parameters and calculating the characteristic parameters through a multi-dimensional algorithm to obtain targeted fragmentation parameters. The method has the advantage that illegal additives in health care products can be quickly and accurately screened.

An object is to accurately detect peaks of various compositions, even in a case of unseparated peaks in which peaks of a plurality of compositions are superimposed. A computer acquires waveform data D1 having a peak P1 in a composition A measured by a data analysis device (S10). Next, the computer acquires waveform data D2 having a peak P2 in a composition B measured by the data analysis device (S20). Next, waveform data D12 including unseparated peaks by superimposing the waveform data D1 including the acquired peak P1 and the waveform data D2 including the acquired peak P2 (S30) is generated. Next, the generated waveform data D12 of the unseparated peaks is input as learning data, and the waveform data D1 and D2 corresponding to the waveform data D12 are input as training data in Step S40. Next, machine learning is performed using the waveform data D12, D1, and D2, and a learned model for estimating an accurate separation method of unseparated peaks is constructed based on the trained result (S50).

The invention discloses a solid waste water content prediction system and method based on an infrared thermal imager. The temperature field of the solid waste on the conveyor belt in the natural convection and forced convection moisture evaporation process is monitored and compared in real time through the thermal infrared imager, and the moisture content of the solid waste can be accurately predicted in combination with data processing, environmental parameter correction and prediction of a regression equation. Compared with a traditional sampling detection method, the method has the advantages of being high in real-time performance, non-contact, simple in equipment, good in economical efficiency and the like, can adapt to a complex industrial field environment, and provides a new technical means for intelligent and refined control over waste incineration. The system is simple in structure, high in reliability, good in detection precision and capable of achieving real-time prediction of the water content of the solid waste entering the furnace.

The invention discloses a test device and method for in-situ monitoring of hydrates by using thermal-electric coupling, and belongs to the technical field of experiments for simulating generation and decomposition of hydrates in laboratories. The device comprises a hydrate synthesis and decomposition system, a temperature control system, a pressure control system, a thermal-electric parameter measurement system, a gas collection system and a data acquisition and user monitoring system, wherein a multi-point temperature sensor, a resistivity measurement probe and a heat conductivity coefficient measurement probe are arranged in a reaction kettle cavity; in-situ and real-time monitoring of multiple physical property parameters such as temperature distribution, resistivity change and heat conductivity coefficient in the whole process of generation and decomposition of the hydrate sample can be realized. According to the invention, thermal-electric coupling monitoring can be realized under high-pressure and low-temperature conditions, and a high-precision means is provided for hydrate formation mechanism research and exploitation processes.

The invention relates to the technical field of fire reason investigation, and particularly discloses a heat radiation test device with an adjustable test rack, which comprises a heat radiation rack and a test rack, a radiation source is mounted on the heat radiation frame; the test rack is in a portal shape, the left end and the right end of the test rack are sleeved with sliding supports with the adjustable height respectively, and locking assemblies are installed on the sliding supports. The device further comprises a horizontally-arranged rotating rod, the two ends of the rotating rod are connected to the two rotating rods correspondingly, and a rotating assembly is installed on the rotating rod and rotates in the circumferential direction of the rotating rod. A fixing frame is installed on the rotating assembly and used for fixing a sample. The effect of adjusting the overall height of the fixing frame is achieved by adjusting the height of the sliding support, the angle of the fixing frame is adjusted through the upper rotating assembly, a sample can face a radiation source at different angles to conduct a heat radiation test, and an operator can more accurately simulate the state of the sample to test data according to post-disaster data.

The invention belongs to the technical field of material quality analysis based on visual detection, and particularly discloses and provides a carbon fiber prepreg laying layer quality visual online detection method, which comprises the following steps of: exciting dynamic response of a material under stress through active micro-area hot air excitation, and combining synchronous data acquisition of a high-speed multi-mode visual sensor to determine the laying layer quality of the carbon fiber prepreg. Internal interlayer problems, non-uniform resin distribution or hidden defects such as microbubbles and the like which are difficult to find by traditional static detection can be effectively detected; performing space-time correlation analysis on the morphological information of the defects and the dynamic response characteristics to form defect embryo characteristics with prediction significance; and through cooperation with the digital twinborn model, the detection result is improved from pure defect alarm to quantitative influence prediction and risk assessment of final product performance, and proactive guidance is provided for product quality control. According to the invention, real-time on-line detection of the depth of the defect in the laying process of the carbon fiber prepreg is realized.

The invention relates to the technical field of high-temperature experiment earth science, in particular to a sulfide standard sample and a preparation method thereof. The method comprises the following steps: preparing a raw material of a sulfide standard sample based on a target element component in a target natural sulfide and the content of the target element component; a quartz tube with one open end and one closed end is filled with first predetermined height quartz powder, a raw material of a sulfide standard sample, second predetermined height quartz powder or a quartz column, elemental sulfur, and third predetermined height quartz powder and / or a quartz column in sequence; sealing the filled quartz tube; and performing heat treatment on the raw materials of the sulfide standard sample in the sealed quartz tube to obtain the sulfide standard sample. According to the method, high-resolution analysis of micro-area information can be realized by utilizing the in-situ standard sample, so that irreplaceability is realized, in-situ analysis does not need a complicated pretreatment process, and a solid sample can be directly analyzed and measured.

The invention relates to the technical field of double-component pouring sealant testing, and discloses a thermal conductivity testing method and system based on a double-component heat-conducting pouring sealant. The method comprises the following steps: classifying base material component proportions and curing conditions of the two-component heat-conducting pouring sealant, and determining a material curing state classification label; loading a corresponding heat conduction reference model, judging the thermal response coverage of the model, and generating correction parameters and updating the model by thermodynamic simulation when the thermal response coverage is insufficient; based on the updated model, applying heat source excitation to the sample under a preset temperature change gradient, and collecting surface dynamic temperature field distribution data; extracting a heat conduction offset position and an abnormal temperature rise node, and generating an abnormal thermal behavior identification group; obtaining temperature change correlation time of the offset position in the identification group, and calculating a thermal response delay interval and a conduction path offset; therefore, the temperature lag time length and the heat flux attenuation ratio of each layered interface of the sample in the continuous thermal cycle period are extracted, a layered thermal resistance response characteristic value is generated, and a reliable basis is provided for evaluating the heat-conducting property of the two-component heat-conducting pouring sealant.

The invention is suitable for the technical field of heat pipe experiment systems, and provides a heat pipe experiment system and method based on visual visualization and dual-seal temperature control, and the system comprises a visual heat pipe, a temperature adjustment module, a data collection module, a liquid injection module and a glass temperature monitoring feedback module. The visual heat pipe adopts an aluminum alloy cover plate, visual glass and a copper substrate to form a double-sealing structure. The system integrates a glass temperature monitoring and feedback mechanism, prevents the observation window from fogging, prevents the temperature of the observation window from being too high, and guarantees high-definition visual observation. And the data acquisition module synchronously records the thermal parameters and the dynamic image of the condensed liquid drop, and quantitatively analyzes the behavior of the liquid drop through an image processing technology. The system can realize high-definition observation, high-precision temperature control and quantitative analysis of the internal condensation process of the flat heat pipe at different inclination angles and under different working conditions, and is suitable for in-depth research of a phase-change heat exchange mechanism and heat pipe performance.

The invention discloses a heat pipe thermophysical property testing device, system and method based on liquid cooling flow equalization, and the device comprises a liquid cooling flow equalization system which is provided with a plurality of parallel and mutually isolated flow channels, and a condensation section of a to-be-tested heat pipe is inserted into a liquid cooling cavity to form forced convection; an upper heating block and a lower heat insulation block of the heating unit clamp and fix an evaporation section of the heat pipe to be tested; the liquid cooling flow equalizing system is arranged on the inclination angle adjusting mechanism; the data acquisition unit comprises temperature sensors which are respectively arranged at liquid inlets and liquid outlets of the flow channels, and at least two temperature sensors which are arranged at a heat insulation section of the heat pipe to be tested; according to the system, a circulating water bath device, a high-pressure constant-flow pump, a filter and a testing device form a closed-loop liquid path. The real heat transfer amount of the heat pipe is inversely calculated through the heat absorption amount of the cooling liquid, the equivalent heat conductivity coefficient and the limit power are obtained by combining the two-point temperature difference of the heat insulation section, multiple heat pipes of different specifications are tested in parallel at a time, and the test efficiency and the data accuracy are improved.

The invention provides a building damage early-stage detection method and system based on multi-field coupling and related equipment, and relates to the technical field of house safety monitoring. Respectively acquiring excitation acoustic response, selected wave band spectral reflection and transient heat conduction response signals of the target building facade; performing time-frequency domain transformation processing on the signal to obtain a multi-physical field feature vector; obtaining target building facade material attribute parameters and environmental action historical data, and constructing a degradation evolution knowledge graph according to the attribute parameters and the environmental action historical data; performing similarity matching on the multi-physical field feature vector and each degradation mode feature template, and judging whether a potential degradation mode exists or not; if yes, time sequence correlation analysis is carried out on the potential degradation mode, physical field characteristic evolution trends in continuous M collection periods are determined, and a degradation development rate index is determined accordingly; and when the index is greater than a preset rate threshold, generating degradation early warning information.

The invention discloses a temperature rise verification method for welding reliability of a copper bar, relates to the technical field of copper bars, and provides the following scheme aiming at the problems that potential and developing hidden defects proposed in the background technology cannot be identified and potential safety hazards are buried due to the fact that obvious temperature abrupt change is possibly not caused in the test period. Comprising the steps of sample selection and pretreatment: selecting a to-be-tested copper bar welding part, performing nondestructive testing (such as ultrasonic testing or X-ray testing) on the sample, observing defects such as air holes, slag inclusion, cracks and incomplete penetration, removing obviously unqualified samples, and pretreating the sample, including surface cleaning and stress relief annealing. According to the invention, the artificial intelligence technology is deeply integrated into the traditional temperature rise test process, so that the characteristic mode can be identified when a tiny hot spot is just formed and the overall temperature rise is not caused to exceed the standard, the early intelligent diagnosis of hidden defects is realized, the fault hidden danger is eliminated in the bud state, and the accuracy of the detection result is improved at the same time.

The invention provides a multi-path sample table for testing the thermal conductivity of a material at an ultralow temperature, the sample table can cool a sample to be tested under the action of a cold source, the sample table comprises a sample platform, the top of the sample platform is provided with a plurality of spaced mounting grooves; the clamp is used for clamping the to-be-tested sample, one end of the to-be-tested sample is connected to the clamp, the other end of the to-be-tested sample is far away from the clamp, and the clamp is suitable for being fixed in the mounting groove; one end, close to the clamp, of the to-be-tested sample is provided with a first temperature measuring element used for monitoring the cold end temperature of the to-be-tested sample, one end, far away from the clamp, of the to-be-tested sample is provided with a heater and a second temperature measuring element used for monitoring the hot end temperature of the to-be-tested sample, and the sample platform is provided with a third temperature measuring element used for monitoring the hot end temperature of the to-be-tested sample. The temperature sensor is used for monitoring the temperature of the sample platform. The problem that in the prior art, the steady-state method is low in testing efficiency is solved, and the purpose of improving the steady-state method heat conductivity testing efficiency at the ultralow temperature is achieved.

The invention provides a liquid heat conductivity coefficient measurement method without absolute thickness information, and belongs to the field of liquid heat conductivity coefficient measurement. The problem that the universality and the accuracy are seriously restricted due to the fact that an unsteady state method must depend on the absolute thickness of a sample to be detected is solved. The method comprises the following steps: placing a to-be-detected liquid sample in a crucible, and adjusting an optical system to enable an infrared detector to be aligned with a to-be-detected area; changing the thickness of the liquid sample through an electric displacement table to obtain a plurality of thickness values; corresponding to each thickness, using a pulse laser to heat the sample, detecting a signal of the overheat residual temperature of the upper surface of the crucible along with time change, and obtaining a normalized temperature rise curve; repeatedly measuring under a plurality of different liquid thicknesses, and recording the half-peak time of the normalized heating curve corresponding to each thickness value; and calculating the thermal diffusion coefficient of the to-be-measured liquid according to the proportional relation between the half-peak time and the thickness square of the liquid, thereby determining the heat conductivity coefficient of the liquid. The method is used in practical industrial environments such as thermoelectricity and lithium ion batteries.

The invention provides a curing process online monitoring method for a variable-thickness composite material component, and relates to the technical field of structural health monitoring of composite materials, and the method comprises the steps: collecting original monitoring data of each optical fiber sensing point in the variable-thickness composite material component; based on a preset temperature sensitivity coefficient and a preset strain sensitivity coefficient, performing temperature-strain double-parameter decoupling on the original monitoring data to obtain chemical shrinkage strain; according to the chemical shrinkage strain and the change rate, a gel point, a maximum heat release rate point and a glass transition interval in the resin curing process are obtained, and curing state characteristics are constructed; and determining a curing stage corresponding to the variable-thickness composite material component based on the curing state characteristics, calculating a curing degree gradient, and when the curing degree gradient is greater than or equal to a preset process safety threshold value, sending a closed-loop regulation and control instruction to curing equipment so as to adjust the curing process of the variable-thickness composite material component, according to the invention, the curing monitoring precision and stability can be improved.

The invention relates to the technical field of gas heat conductivity coefficient measurement, and provides a gas heat conductivity coefficient measurement data processing method, device and equipment and a medium, and the method comprises the following steps: obtaining hot-wire temperature rise experiment data of hot-wire temperature rise along with time change measured by a transient hot-wire method experiment; the hot line temperature rise experiment data are corrected through a theoretical correction model, corrected theoretical temperature rise data are obtained, and the theoretical correction model is derived based on a physical model considering the hot line limited heat capacity and the radiation heat exchange effect; and determining the heat conductivity coefficient of the detected gas based on the corrected theoretical temperature rise data. According to the technical scheme, a test data processing correction method is provided, and the accuracy of a test result is improved.

The invention relates to a heat exchange performance testing method and system based on a distributed sensor and a storage medium, and relates to the technical field of heat exchange performance testing. Performing runner scaling simulation according to the simulated use duration to generate a runner position scaling thickness relationship; the scale thickness relation of the runner position is analyzed, and runner heat exchange influence parameters are generated; the flow channel heat exchange influence parameters are analyzed, and flow channel scaling simulation parameters are generated; controlling a heat exchange performance test platform to perform scaling simulation according to the runner scaling simulation parameters, and controlling a distributed sensor to detect the runner to generate actual scaling influence parameters; the runner scaling simulation parameters and the actual scaling influence parameters are analyzed, and scaling simulation deviation is generated; and performing scaling simulation optimization on the heat exchange performance test platform according to the scaling simulation deviation, and controlling the optimized heat exchange performance test platform to perform a heat exchange performance test. The method and the device have the effect of improving the accuracy of the CDU heat exchange performance test.

The invention provides a mining ground fracture erosion prediction method, device and equipment under a freeze-thaw condition, and belongs to the field of geological research, and the method comprises the steps: obtaining the related data of a target mining ground fracture; calculating a frost heaving stress field and a mining-induced tensile stress field based on the related data, and performing superposition to obtain a total tensile stress field; when the total tensile stress field is greater than the tensile strength of the soil, calculating the coupling damage degree; based on the coupling damage degree, the effective cohesion and the effective internal friction angle of the soil are determined, and then the critical starting shear stress of the crack and the average flow velocity of the scouring critical state are determined; based on the critical starting shear stress and the average flow velocity, total energy consumed for erosion and collapse of the soil body in unit area is determined, and actual water flow power is calculated; and calculating the ratio of the total energy to the actual water flow power to obtain a physical index of the anti-erosion comprehensive capability of the soil so as to judge the erosion risk state of the soil crack. Therefore, space-time prediction and accurate early warning of the erosion risk can be realized.

The invention relates to the technical field of material performance testing, solves the technical problem that in the prior art, it is difficult to conduct multi-parameter heat and humidity performance testing on the same to-be-tested sample in a controllable testing environment, and provides a material heat and humidity performance testing method and system.The method comprises the steps that the to-be-tested sample is pretreated, and a first sample is obtained; placing the first sample in a first test environment, and supplying water to the first sample to obtain a first mass change curve; according to the first mass change curve, the capillary water absorption coefficient and the saturated water content are obtained through calculation; obtaining a second test environment according to the target climate parameters; and taking the first sample saturated by water absorption as a second sample, placing the second sample in a second test environment, and calculating to obtain an average evaporation rate and a cooling contribution value according to a second mass change curve and sample surface temperature data in the test process of the second sample. According to the invention, multi-parameter heat and humidity performance testing of the to-be-tested sample can be realized.

The invention relates to the technical field of interface thermal resistance calculation, and discloses a method for measuring and calculating interface thermal resistance based on an infrared imaging technology, which comprises the following steps: fixing and aligning paired upper and lower test pieces to form a to-be-measured contact interface, respectively preheating to a preset initial temperature difference and stabilizing, and monitoring and recording temperature change and test piece thermophysical parameters; enabling the test piece to be in contact, starting infrared imaging equipment to record full-field transient temperature data in a temperature equalization process, and forming a three-dimensional data matrix; building a thermal resistance correlation model, constructing a heat conduction equation in combination with the parameters to solve a simulated temperature field, and inverting related heat conduction coefficients by using a conjugate gradient method; and calculating microscopic and total contact thermal resistance according to the inversion coefficient and the geometric parameters, and deducing macroscopic thermal resistance. According to the method, non-intrusive transient infrared temperature measurement is combined with a reverse heat transfer algorithm, so that the microscopic thermal resistance, the macroscopic thermal resistance and the total contact thermal resistance are accurately distinguished and quantified.

The invention relates to the technical field of curtain wall detection, in particular to a construction and detection integrated method for a low heat transfer coefficient building curtain wall, and the method comprises the steps: detecting the realization quality of a thermal bridge cutoff structure of a curtain wall through a thermal bridge cutoff detection model in a pre-construction stage; detecting the continuity and leakproofness of the curtain wall thermal insulation system through a thermal insulation and leakproofness field detection model matched with the thermal bridge cutoff detection model in the construction stage; the root cause of the curtain wall defect is diagnosed according to the quality, continuity and leakproofness of the thermal bridge cutoff structure; and dynamically optimizing parameters of the thermal bridge cutoff detection model and the thermal insulation and leakproofness field detection model according to the obtained defect root cause, and predicting machining process abnormality and construction process abnormality by using machining data and construction data.

The application relates to a rectangular narrow-channel lead-bismuth alloy flow heat exchange experimental device and an experimental method. The application is used to solve the problem that the existing experimental device cannot meet the demand of the research on the flow heat exchange characteristics of lead-bismuth alloy in a rectangular narrow channel. The flow direction of the lead-bismuth alloy in the experimental section is from top to bottom. The inlet and outlet cylindrical chambers and the rectangular variable-diameter passage of the experimental section are fixed by welding and an external mechanical fixing device. The rectangular narrow channel is composed of stainless steel sheets. The inner side of the narrow side of the channel is supported and sealed by a first-stage stainless steel pad. The outer side is supported and fixed by a second-stage stainless steel fixing pad through bolt connection. The third-stage sealing is realized by smearing high-temperature-resistant sealing glue between the stainless steel pad, the bolt and the bolt gap. The rectangular narrow-channel sheet is heated by an indirect electric heating mode. The application is used for the flow heat exchange experiment of lead-bismuth alloy.

The invention discloses a submarine cable insulating material comprehensive aging evaluation method and system based on a time scaling equivalent axis, and relates to the technical field of submarine cable insulating material aging evaluation. The method aims at solving the problems that equivalent alignment of acceleration and natural aging data cannot be achieved, multi-index evaluation is contradictory, and the evaluation period is long in an existing method. The method comprises the following steps: acquiring a plurality of preset performance parameters of a submarine cable insulation material after an electric-thermal-force multi-physical field accelerated aging test, synthesizing a comprehensive aging index after homodromous mapping and robust standardization processing, establishing equivalent mapping of accelerated and natural service time through a linear scaling coefficient, and calculating the aging index of the submarine cable insulation material according to the equivalent mapping. And a service life evaluation result or reliability warning information is output after consistency checking. According to the technical scheme, the aging state and the service life of the submarine cable insulating material can be accurately and efficiently evaluated, and support is provided for material screening, service life evaluation and safety decision making of submarine cable engineering.

The invention relates to the technical field of semiconductor material thermoelectric performance testing, in particular to a bismuth telluride sheet material Seebeck coefficient measuring device. The device mainly comprises a flexible measuring device and a data acquisition system, the data acquisition system is provided with a universal meter and a programmable power supply, the flexible measuring device is connected to the input end of the universal meter through a signal cable to transmit temperature and pressure signals of a thermocouple, and the flexible measuring device is connected to the output end of the programmable power supply through a power supply cable to transmit the temperature and pressure signals of the thermocouple. And the universal meter and the programmable power supply are respectively connected to the computer through communication cables and are connected with the computer to realize data processing. Through the three-in-one design of flexible contact, synchronous sensing and temperature difference control, accurate measurement of the Seebeck coefficient is realized. Through actual measurement, the temperature control precision of the device is + / -0.1 DEG C, the voltage acquisition resolution is 0.1 mu V, and the Seebeck coefficient measurement error is less than 2%.

The invention discloses a test device and method for adjusting the heat dissipation charge-discharge multiplying power of a battery, and the device comprises a cooling liquid constant temperature module (hereinafter referred to as a constant temperature module); the heat dissipation module is arranged behind the constant temperature module; the heat source module is arranged above the heat dissipation module; and the data acquisition module is arranged behind the heat source module. Wherein the constant temperature module is used for heating or cooling a cooling liquid in a pipeline; the data acquisition module is used for measuring and acquiring battery temperature and pressure and flow in a pipeline; the test device and method disclosed by the invention can be used for researching the heat dissipation effect of the power battery and the energy storage battery in the charging and discharging process, and provides an actual basis for designing a safe and efficient thermal management system.

The invention provides a U-shaped well superconductive hot cement slurry and annulus heat exchange monitoring method, which comprises the following steps that: according to the structural characteristics of a vertical section, a horizontal section and a transition section of a U-shaped well, each section of monitoring equipment is correspondingly configured with an independent monitoring control unit, and a parameter normal threshold matched with the performance of the superconductive hot cement slurry is preset in each unit; based on the physical association of annular heat exchange, the monitoring control units with the parameter linkage relation are connected through logic chains to form a plurality of logic chains, and an association threshold value is preset for each logic chain; a logic chain linkage analysis module is arranged, the trigger state of each logic chain is monitored in real time, an exclusive monitor is configured for each cross-section logic chain, and a superconductive hot cement slurry performance parameter and a composite standard comparison reference of an annular heat exchange normal working condition are built in the monitor; the fault type, the influence range and the severity are judged by adopting a three-step method of single-parameter primary judgment, cross-parameter verification and linkage fault grading through a built-in exclusive monitor of a composite standard comparison reference.