2648results about "Material heat development" patented technology

The invention discloses a radiator salt spray corrosion life prediction method based on dynamic time warping, which belongs to the technical field of material corrosion test and life prediction, and comprises the following steps: collecting time sequence data of surface impedance and thermal resistance change of a radiator, constructing a dual-channel corrosion characteristic data set, and recording a salt spray concentration data value. The temperature data value and the humidity data value are combined, and an environment sensitivity weight vector is established. Accelerated corrosion in a salt spray environment is simulated, a laboratory accelerated corrosion test spectrum is generated, meanwhile, an actual environment fluctuation spectrum is monitored, the two spectrums are aligned by using a weight vector, accelerated corrosion data are obtained, and a basic life prediction value is calculated. And calculating an environment-structure coupling factor by combining the interaction between the three-dimensional structure characteristic parameters of the radiator and the temperature and humidity data values, correcting the basic life prediction value, and generating a final life prediction result. According to the method, double-channel feature alignment and coupling factor correction are adopted, and the corrosion life of the radiator of the specific structure under the actual working condition can be predicted.

The invention relates to the field of water quality monitoring analysis, in particular to a multi-modal water quality monitoring data intelligent processing method and system. The method comprises the following steps: obtaining a water quality monitoring parameter stream and a water quality monitoring image, and carrying out adaptive processing to obtain a filtering optimization parameter stream and an optimization monitoring image; performing water quality state evolution perception according to the adaptive filtering optimization parameter flow, and constructing a water quality state evolution graph; and performing biological index response analysis and water quality ecological influence evaluation based on the water quality state trend evolution graph to obtain a water quality evaluation report. And carrying out pollutant spatial distribution change analysis based on the optimized monitoring image, and executing final water quality monitoring evaluation according to a water quality evaluation report. The invention provides efficient and accurate water quality status analysis.

The invention relates to the technical field of steel rail repair, and provides a steel rail laser additive defect detection method and system.The method comprises the steps that before laser additive repair is conducted on a steel rail damage area, a local area of a steel rail base body is instantly heated, so that an instant hot spot is formed in the corresponding local area; collecting thermal radiation attenuation information of the instantaneous hot spot; according to the thermal radiation attenuation information, the actual heat dissipation rate of the local area corresponding to the instantaneous hot spot is calculated so as to achieve detection of the steel rail damage area; according to the actual heat dissipation rate, repairing process parameters used for laser additive repairing are selected from a pre-stored process parameter combination; and carrying out laser additive repair on the damaged region of the steel rail by adopting the repair process parameters. The method has the effect of improving the quality and reliability of steel rail laser additive repair.

The invention discloses a high-temperature surface contact thermal resistance elimination method based on double thermocouple compensation, and belongs to the technical field of material thermal property characterization and testing. The method comprises the following steps: synchronously acquiring double-thermocouple temperature, and obtaining a temperature difference signal through filtering calibration and environment correction; calculating the real-time heat flux density according to the corrected temperature difference, the Seebeck coefficient and the dynamic correction factor; establishing a nonlinear dynamic coupling model containing contact thermal resistance parameters, and performing temperature interval division; identifying a contact thermal resistance parameter on line by adopting a self-adaptive recursive least square algorithm, and generating a dynamic thermal resistance compensation value; and applying the compensation value to a double-thermocouple signal according to the weight, and outputting accurate high-temperature surface temperature. According to the method, data acquisition and preprocessing, dynamic heat flow correction, nonlinear segmented modeling, self-adaptive online identification and refined compensation output strategies are adopted, the influence of high-temperature surface contact thermal resistance can be effectively eliminated, and the accuracy and reliability of temperature measurement in the high-temperature environment are remarkably improved.

The invention relates to the field of construction temperature regulation and control, in particular to an intelligent temperature control method and device for fan foundation construction in an alpine region. The method comprises the following steps: collecting real-time concrete temperature monitoring parameters based on a distributed temperature sensor, carrying out time sequence temperature discrete trend analysis and spatial temperature fluctuation distribution evolution, and constructing a temperature fluctuation distribution evolution diagram; concrete surface environment parameters are extracted, heat exchange simulation processing is carried out on the temperature fluctuation distribution evolution diagram, multivariate coupling correlation analysis is carried out, and a temperature-environment quantitative relation model is constructed; and obtaining historical meteorological logs and meteorological environment data of the construction area, carrying out similar meteorological condition matching calculation, carrying out short-term meteorological trend prediction, and generating short-term meteorological trend prediction features. According to the dynamic temperature regulation and control requirements, safe construction of the fan foundation concrete in the high and cold environment is guaranteed, and the construction quality is improved.

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 belongs to the technical field of sensor error correction, and discloses a data synchronization and error correction method based on multi-source gas detection, and the method comprises the steps: firstly achieving the time-space synchronization of a multi-source sensor through the combination of GPS / Beidou hardware time service and a gas diffusion transmission model; non-negative matrix factorization (NMF) is adopted to decouple sensor cross interference, and an LSTM neural network is utilized to predict a sensor drift amount caused by environmental temperature and humidity changes; and finally, carrying out dynamic weight fusion based on the real-time confidence of each sensor, and outputting a high-precision gas concentration value. The problem of data distortion caused by time sequence dislocation, cross sensitivity and environment drift in a multi-sensor system is effectively solved, the accuracy of detection data and the reliability of the system are remarkably improved, and the method is particularly suitable for multi-component gas detection scenes in the fields of chemical engineering, environment monitoring and the like.

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 crack image analysis, in particular to a building crack width measuring method based on image analysis, which comprises the following steps of: acquiring an autofluorescence attenuation image of a building surface under ultraviolet excitation, and generating a crack response coefficient matrix according to a material aging degree; driving micro-area pulse thermal imaging based on the crack response coefficient matrix, and extracting a heat conduction abnormal boundary as a crack physical edge; surface attachment interference is eliminated through an edge acoustic impedance matching model, and the real width value of the crack is calculated under a material intrinsic coordinate system. According to the method, the normal width of the crack is measured through uniform point selection in the main axis direction, the measured value is subjected to weighted fusion in combination with the local acoustic impedance matching weight, the obtained width result can better reflect the actual structural integrity and elastic continuity of the crack, geometric quantities are provided, and the local damage degree is reflected; the method is suitable for subsequent structure analysis and safety evaluation.

The invention relates to the technical field of asphalt performance analysis, in particular to a method for detecting and analyzing physical properties of polymer modified asphalt. According to the invention, the collected asphalt sample is subjected to pretreatment means of vacuum degassing, multi-angle image bubble monitoring and constant-speed stirring, the uniformity of the asphalt sample is judged according to physical state parameters at different positions, the reliability of subsequent detection data is further improved, and a plurality of uniformly-divided target asphalt samples are respectively placed in the constant-temperature containers; the method comprises the following steps: recording the heat conduction temperature of each target asphalt sample at different monitoring points in a constant-temperature water bath in real time, carrying out penetration detection on each target asphalt sample after the sample reaches heat balance, carrying out penetration index analysis according to the incidence relation between the temperature and the penetration, and evaluating the physical properties of the polymer modified asphalt based on the penetration index. The penetration data under different temperature gradients can be accurately obtained, the physical properties of the polymer modified asphalt can be comprehensively and accurately evaluated, and a reliable basis is provided for engineering quality control.

The invention discloses a lithosphere thermal structure analysis method, device and equipment and a storage medium, and relates to the technical field of geothermal energy analys.The method comprises the steps that rock information of a current area is obtained, a current lithosphere model is constructed, and the current lithosphere model is composed of a plurality of layers of lithologic units; according to the rock information and a preset temperature change rule, determining a surface earth heat flow value and a lithosphere bottom boundary position corresponding to the current lithosphere model; according to the rock information, determining a hierarchical heat flow value corresponding to each lithologic unit located above the bottom boundary position of the lithosphere, and obtaining a lithosphere heat flow value according to each hierarchical heat flow value; and determining a heat flow ratio parameter as a lithosphere thermal structure analysis result of the current area by combining the earth surface heat flow value and the lithosphere heat flow value. According to the method, the heat flow ratio parameter is obtained by performing layered modeling on the lithosphere, so that accurate quantification of the lithosphere thermal structure is realized from the aspects of heat source properties and a heat transfer mechanism, and the reliability of an analysis result is improved.

The invention discloses a permanent magnet synchronous motor temperature monitoring method based on digital-analog hybrid drive, and the method specifically comprises the steps: dividing a motor into a plurality of heat source nodes, including a stator winding, a stator tooth part, a rotor core and the like, connecting the nodes through a thermal resistance and thermal capacity network, building a thermal network model of the motor, and carrying out the thermal network model; calculating the initial values of thermal resistance and thermal capacity of each component of the motor, and optimizing parameters in a thermal network model by using a differential evolution algorithm based on the lumped parameter thermal network model and in combination with a data-driven strategy. Furthermore, temperature rise prediction is dynamically adjusted according to motor state data (such as stator current, rotating speed and the like) collected in real time so as to realize real-time temperature estimation. The method is high in temperature estimation precision, does not affect the performance of the motor, is simple in calculation, is good in real-time performance, and has physical interpretability. The temperature rise of the motor can be predicted in real time under different working conditions, early warning is given out, motor faults caused by too high temperature rise are effectively avoided, and the reliability and safety of the motor are improved.

The invention provides a photoacoustic measurement method and device, and the method comprises the steps: carrying out the photoacoustic measurement of a to-be-measured object through a photoacoustic measurement device, and extracting a reference value of a physical parameter of each film material according to an obtained reflectivity change signal; further acquiring a reflectivity change simulation signal based on the reference value of the physical parameter of the material so as to acquire a simulation value of the physical parameter of each film material; and performing weighted correction on the reference value by the simulation value to obtain a fitting value of the physical parameter of each film layer material. The fitting value of the physical parameter of each film layer material obtained by the technical scheme of the invention can reflect the change of the physical parameter of the material in the actual film layer growth process of the object to be measured, has higher accuracy as the initial value of the physical parameter of the simulation model, and is beneficial to optimizing the efficiency and precision of photoacoustic measurement of the thickness of the film layer.

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 discloses a concrete quality three-level monitoring device and method, and belongs to the technical field of concrete construction. The method aims at solving the cracking problem caused by factors such as temperature stress and shrinkage stress in mass concrete construction and the key technical problems such as data islanding phenomenon and regulation and control lag in an existing monitoring method. According to the technical scheme, a three-level monitoring system of pouring layer-cooling layer-structural layer is constructed, and various key parameters such as temperature, humidity, flow velocity and cooling water flow of concrete in pouring, cooling and stabilizing stages are accurately monitored in real time; the central controller is used for carrying out real-time analysis processing and dynamic regulation and control on the data, so that comprehensive, accurate and continuous monitoring on the concrete construction quality is realized; the method is mainly applied to monitoring scenes of mass concrete construction quality, concrete cracking can be effectively prevented, the engineering quality and safety are remarkably improved, and reliable technical guarantee is provided for the concrete construction industry.

The invention provides a coal spontaneous combustion tendency prediction method, device and equipment based on a microstructure. The method comprises the following steps: acquiring microstructure information of a to-be-predicted coal sample; calculating coal spontaneous combustion tendency comprehensive parameters of the to-be-predicted coal sample; performing quantitative analysis on positive and negative correlation between the microstructure information and the coal spontaneous combustion tendency comprehensive parameters through a preset Pearson's correlation coefficient method to obtain a correlation matrix heat map; then, on the basis of the correlation matrix heat map, microstructure information with the highest correlation with the coal spontaneous combustion tendency comprehensive index is determined from the microstructure information; constructing a coal spontaneous combustion tendency-microstructure prediction model by taking microstructure information with the highest correlation as an independent variable; and finally, based on the coal spontaneous combustion tendency-microstructure prediction model, determining a coal spontaneous combustion tendency prediction result of the to-be-predicted coal sample.

The invention relates to the technical field of electrical performance testing, in particular to a method and system for measuring loss of an inductance winding, and the method comprises the following steps: applying a direct current to a measured inductance winding, synchronously monitoring the temperature, and multiplying a pre-measured direct current resistance value by a direct current value to obtain a direct current loss power value. The direct current is applied to the inductance winding, the temperature is monitored synchronously, the direct-current loss power is obtained by combining the direct-current resistance value and the current value, the temperature curve in the initial stage is extracted, the temperature rise rate is calculated, and therefore the winding heat capacity parameter is obtained, loss measurement can be closely associated with thermal response, and the measurement accuracy is improved. Introduction of a heat capacity factor is added in loss calculation, dynamic characteristics of a winding material on a thermodynamic level can be reflected, instantaneous current with load step change is applied after an inductor is cooled, an instantaneous loss power curve is generated by collecting a voltage sequence and a current sequence at the same time, and loss calculation is not limited to average value or steady state measurement any more.

The invention relates to the field of textile detection, and discloses a fabric flame retardance analysis method based on infrared thermal imaging sensing data, which comprises the following steps: performing non-contact temperature measurement on a fabric sample in a controlled heat shock disturbance field, acquiring an infrared imaging signal sequence, and performing energy projection rearrangement on the infrared imaging signal sequence; based on the discontinuous change of the energy flow density in the primary thermal behavior field, establishing a boundary disturbance model of a local overheating region, and comparing the morphological difference between a thermal expansion path and a radiation energy attenuation region; mapping the heat potential difference of each region in the critical response diagram into an energy constraint state inside the material, and deducing time bias distribution of energy conduction; introducing a spectrum equalization function under time offset distribution, and executing asymmetric compensation on local abnormal points of the infrared response data; and based on the decomposition threshold dynamic trajectory, calculating a flame-retardant response equilibrium rate and an energy flow retention rate, and forming a flame-retardant performance evaluation index. The method has the advantage of improving the accuracy of flame retardant detection.

The invention relates to the technical field of underground engineering construction, in particular to a subway contact channel freezing method parameter optimization method and system. Through multi-source data fusion and real-time perception, based on a heat transfer theory and soil mechanics coupling model, a three-dimensional stratum stable field distribution diagram is constructed through real-time state parameters, and the stability of the frozen wall is visually presented, so that the limitation that a traditional empirical formula cannot reflect complex geological response is solved; defect features such as non-intersection circles and insufficient thickness are extracted through a multi-scale algorithm, automatic identification and positioning of defects are achieved, subjectivity and hysteresis of manual judgment are overcome, process parameters are optimized in combination with finite element simulation, an optimal parameter set is obtained, and therefore the problem that static parameters are difficult to cope with geological mutation is solved. And finally, a closed-loop optimization mode is formed by comparing the quality evaluation value with a preset threshold value, the'one-time optimization 'mode of a traditional method is broken through, it is ensured that parameters are matched with dynamic geology, and the frozen wall quality and the stratum reinforcement effect are guaranteed.

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 relates to the technical field of material corrosion and protection, discloses a TP2 copper corrosion behavior testing method based on temperature regulation and control, and aims to solve the problem that in the prior art, various physical and chemical parameters in the corrosion process are difficult to synchronously obtain under the same microscale, so that a local corrosion dynamics mechanism cannot be deeply revealed. The core of the system is a coaxial three-function composite probe integrated with thermal, acoustic and electrochemical sensing units, and the coaxial three-function composite probe is matched with a synchronous laser heating module and a multi-physical field synchronous control system. During testing, the probe scans on the surface of a sample, local thermal disturbance is applied to each pixel point, and the interface temperature, acoustic impedance and corrosion rate data of the point are synchronously collected. According to the invention, through high integration in structure and accurate synchronization in time, the space mismatch error of multi-source measurement is eradicated, and multi-physical field distribution images which are accurately corresponding to each other can be obtained in situ and losslessly.

The invention relates to an experimental device and method for researching liquid drop dynamics and evaporation characteristics. The experimental device comprises a liquid drop generation system, a metal flat plate control system, a height adjusting system and a data acquisition system, the liquid drop generation system is used for generating liquid drops impacting the metal flat plate; the metal flat plate system is used for adjusting the inclination angle of a metal flat plate to heat the metal flat plate; the height adjusting system is used for adjusting the height from the liquid drop generating system to the metal flat plate, so that the liquid drops impact the metal flat plate at different speeds; the data acquisition system comprises a high-speed camera, an infrared camera, a particle image velocity measurement device, a light source and a computer, and is used for measuring the morphological change, velocity field and temperature field of liquid drops in the process of impacting the metal flat plate; the invention further provides an experimental method. According to the invention, the morphological evolution process of the liquid drops can be measured, and the dynamics and evaporation characteristics of the liquid drops when impacting metal plates with different inclination angles and surface types can be studied.

The invention provides a method and a device for measuring the flowing heat exchange characteristic of supercritical carbon dioxide in a tiny circular channel, and belongs to the field of research on the flowing heat exchange characteristic of supercritical fluid. The problem that parameters such as temperature, pressure and flow velocity in a tiny circular channel are difficult to measure by traditional measuring means is solved. The invention discloses a method for measuring the flowing heat exchange characteristic of supercritical carbon dioxide in a tiny circular channel. The method comprises the following steps: enabling the supercritical carbon dioxide to flow into a testing section of the tiny circular channel at preset pressure and flow; measuring temperature, pressure and flow velocity data of different positions of the micro circular channel test section in real time; according to the data, supercritical carbon dioxide flow heat exchange characteristic parameters are calculated through a pre-established model; and changing the working condition of the supercritical carbon dioxide supply system to obtain the flow heat exchange characteristic parameters of the supercritical carbon dioxide under different working conditions. The device is mainly used for measuring the flow heat exchange characteristic.

The invention discloses a PCB (Printed Circuit Board) defect detection method based on machine vision, which relates to the related technical field of computer vision, and comprises the steps of multi-modal data acquisition, data preprocessing and feature extraction, feature fusion, classification, positioning and marking of extracted feature vectors by adopting a support vector machine as a classifier, and establishment of a defect sample library. According to the method, each modal data reflects the state of the PCB from different aspects, the fusion of the multi-modal data can be mutually verified and supplemented, misjudgment and missed judgment are reduced, the related samples in the sample library can enable the model to know the performance of the defects on different materials, so that the defects can be identified more accurately in the detection, and the detection accuracy is improved. By acquiring the image sequences of the same circuit board in different production stages and processing the image sequences by using the long-short-term memory network model, the change trend of the defects in time sequence can be captured, so that the development of the defects in the future production stage can be predicted.

The invention discloses a multi-channel high-precision three-dimensional microcalorimeter, and belongs to the technical field of microcalorimeters, the multi-channel high-precision three-dimensional microcalorimeter comprises a support block, a furnace body is arranged above the support block, a heat insulation layer is arranged in the furnace body in sequence, a heating cylinder is arranged in the heat insulation layer, a heat uniformizing block is arranged in the heating cylinder, and the heat uniformizing block is arranged in the furnace body. The device comprises a heat uniformizing block, a heat measuring cavity is formed in the heat uniformizing block, a heat uniformizing block temperature sensor is arranged at the circle center of the heat measuring cavity, a plurality of heat measuring channels are arranged in the heat measuring cavity around the circle center of the heat uniformizing block at equal intervals, the distances between every two adjacent heat measuring channels are the same, and three-dimensional thermopiles are arranged on the outer walls of the heat measuring channels in a sleeving mode. The number of the heat measuring channels is at least three. According to the multi-channel high-precision three-dimensional microcalorimeter, multiple channels are arranged, multiple groups of experiments, especially comparative experiments, can be carried out at the same time, the experiment efficiency can be greatly improved, and the research and development progress of scientific researchers is accelerated.

The invention relates to the technical field of material thermal performance testing, and discloses a material heat conductivity coefficient automatic testing method based on a heat flow gradient method. The method comprises the following steps: firstly, constructing a test environment topology network, collecting three-dimensional structure parameters and environment thermodynamic parameters of a tested material, and inputting the parameters into a thermal field simulation system to generate an internal heat flow distribution model; and analyzing internal cavity distribution characteristics according to the three-dimensional structure parameters, matching the internal cavity distribution characteristics with a cavity characteristic-heat source layout mapping table to determine a steady-state heat source layout scheme, and activating a heat flow gradient analysis device when multiple heat sources are needed. A heat conduction parameter database is called, heat source power parameters and temperature acquisition parameters are extracted based on environmental thermodynamic parameters, the heat source power parameters comprise spacing, axial angles and the like, and the temperature acquisition parameters comprise thermocouple types and acquisition frequencies; and finally, simulating temperature field evolution through a heat flow gradient analysis device, outputting and analyzing related data, and generating a parameter optimization instruction to adjust heat source configuration. According to the method, multiple links are coordinated, material structures and environmental factors are integrated, and automation of the testing process is achieved.

The invention provides a building outer wall facing layer hollowing defect monitoring device and a monitoring method thereof, and belongs to the technical field of building outer wall facade facing layer defect monitoring. The monitoring method comprises a temperature data acquisition process, a heat flow intelligent analysis process, a hollowing defect adaptive identification process, a temperature field dynamic optimization process, an environmental interference self-learning correction process, a multi-source data fusion diagnosis process, a defect trend prediction process, a visual interaction process and a resource intelligent distribution process. All the processes of the monitoring method are executed through a temperature collecting and processing end, and aiming at the problems of insufficient precision, large environmental interference, low intelligence, prediction deficiency and low resource efficiency in building outer wall facing layer hollowing defect detection, through a temperature sensor matrix, an intelligent data processing process and a multi-source data fusion design, the building outer wall facing layer hollowing defect monitoring method is provided. And the detection precision, the automation degree and the maintenance efficiency are obviously improved.

The invention relates to the technical field of defect detection, provides an overhead line system strut defect detection method, system and equipment and a storage medium, and solves the problem of insufficient detection sensitivity and accuracy. The method comprises the following steps: acquiring material defect associated data of a contact network support column and a visible light image of a to-be-detected contact network support column, and combining a target material type and a target heat conductivity coefficient of the to-be-detected contact network support column to calibrate a preset temperature anomaly judgment reference; based on this, collecting the surface temperature field distribution of the contact network pillar to be detected; adjusting a signal filtering device, filtering and converting an infrared signal corresponding to temperature field distribution to obtain a digital electric signal, synchronizing and aligning the digital electric signal with a visible light image to obtain integrated feature data, extracting temperature information and visual information, and combining with the target material type to obtain a target material type; and generating a defect detection result of the to-be-detected contact net strut, thereby improving the accuracy and anti-interference capability of defect detection of the multi-material contact net strut.

The invention discloses a liquid qualification detection system and method, and belongs to the technical field of intelligent detection and data analysis, multi-dimensional response signals of to-be-detected liquid under excitation of different frequencies are obtained, and a multi-dimensional response data set containing optical, acoustic, electrical and thermal physical channels is constructed; extracting a liquid component behavior characteristic spectrogram through a multi-modal characteristic fusion module; a liquid qualification judgment model is constructed based on a clustering enhanced convolutional neural network and a multi-scale attention mechanism, and classification prediction of the liquid qualification state is realized; further combining confidence coefficient calculation with historical sample database comparison, performing adaptive calibration on a prediction result, and outputting a detection result and a risk level; if the detection result is unqualified or the risk level exceeds the threshold value, an alarm mechanism is automatically triggered, and abnormal feature parameters are marked; the method has the advantages of high detection precision, high response speed, high anomaly recognition capability, excellent traceability and the like, and is suitable for scenes of liquid quality control, environment detection, biological sample analysis and the like.

The invention provides a soil moisture content detection method based on unsteady heat conduction and optical fiber temperature measurement, which comprises the following steps: heating a soil body in a target measurement area based on an active heating method, and measuring the temperature value of the soil body at each moment under different radial distances from a heating source in the heating process; substituting the soil body temperature value at any moment in the heating process and the corresponding radial distance into a predetermined soil body moisture content relation model to obtain the soil body moisture content at the position corresponding to the radial distance from the heating source in the target measurement area at the corresponding moment; and determining the soil mass moisture content of the target measurement area according to the soil mass moisture content at each radial distance position from the heating source in the target measurement area at the corresponding moment. According to the method, the relationship between the soil moisture content and the soil temperature value is established, and in-situ monitoring and long-time monitoring of the large-range soil in the target measuring area are achieved through the soil temperature value obtained through the active heating method.