2723results about "Material thermal analysis" patented technology

The invention provides a switch cabinet solid insulating material performance detection method and system based on temperature detection, and relates to the technical field of temperature detection, and the method comprises the steps: constructing a grid detection matrix on the surface of a solid insulating material, collecting real-time temperature data through a passive radio frequency identification temperature sensor, and building an initial state model; adopting a deep learning algorithm to calculate a temperature gradient value and thermal stress distribution, and constructing a performance degradation index; and the recurrent neural network is combined to predict a performance evolution trajectory, and dynamic early warning and diagnosis are realized. The performance degradation state of the solid insulating material can be accurately evaluated, the detection precision and the prediction accuracy are improved, and intelligent monitoring and early warning are achieved.

The invention belongs to the technical field of rock freeze-thaw damage prediction, and relates to a deep learning rock freeze-thaw damage prediction method based on physical constraints, which is used for improving the physical consistency and prediction precision of a rock freeze-thaw damage prediction model. According to the method, a physical constraint formula is introduced into a data-driven deep learning model, and organic unification of data fitting and physical rationality is realized by using an adaptive weight strategy. The prediction method comprises the steps of data acquisition, data set generation, network construction, physical constraint mechanism formula design, rock freezing and thawing experiment observation or theoretical formula derivation, design of a formula reflecting evolution of various physical properties, model training and prediction output. The deep learning rock freeze-thaw damage prediction method based on the physical constraint has the advantages that generalization ability is remarkably improved, physical continuity and consistency are higher, multi-parameter and multi-source data are comprehensively applied, a staged self-adaptive training strategy is adopted, cost and resources are saved, operation is easy and convenient, and application and popularization are convenient.

The invention relates to the technical field of strength detection, and discloses radiator strength detection equipment and a detection method. The method comprises the following steps: carrying out adaptive wavelet denoising and structural association mapping on collected multi-scale structural feature data and multi-environment coupling material feature data of a radiator to be detected, and carrying out multi-dimensional feature extraction, space-time alignment and interactive mapping on an obtained fusion data set to obtain a multi-physical field coupling data matrix; carrying out physical field control equation set separation iteration solution and heat dissipation cyclic load and environmental action calculation on the coupling data matrix to obtain a damage evolution state; and performing multi-dimensional damage sensitive area identification based on the damage evolution state, generating a risk distribution map, performing failure comparison and life calculation based on historical failure data of the same type of radiators, and generating an intensity comprehensive detection result. Through multi-physical field coupling analysis and multi-dimensional damage evaluation, accurate detection of the strength state of the radiator is realized, and the accuracy of structural reliability evaluation is improved.

The present invention relates to the technical field of mine rock slope analysis, and in particular to a freeze-thaw damage analysis method and system for mine rock slopes. The method comprises the following steps: selecting mine rock slope samples, performing freeze-thaw cycle tests on the mine rock slope samples, and obtaining rock freeze-thaw test information; on the basis of the rock freeze-thaw test information, setting displacement analysis indices, and on the basis of the displacement analysis indices, obtaining displacement variations of rock slopes under freeze-thaw cycles; on the basis of the rock freeze-thaw test information, analyzing plastic damage conditions and mine safety coefficients of the rock slopes under the freeze-thaw cycles; on the basis of the rock freeze-thaw test information, establishing a stress analysis model, and by means of the stress analysis model, obtaining stress distribution conditions of the rock slopes under the freeze-thaw cycles; and by combining the displacement variations, the plastic damage conditions, the mine safety coefficients and the stress distribution conditions, analyzing damage results of the mine rock slopes. In the present invention, multi-objective analysis of freeze-thaw damage conditions of mine rock slopes is performed, thereby ensuring the stability of the rock slopes.

The invention relates to the technical field of water and soil conservation monitoring, and discloses a remote sensing image-based water and soil conservation monitoring method, which comprises the following steps of: 1, integrating optical, infrared and microwave remote sensing data, and constructing a soil information atlas; step 2, capturing soil humidity change in each season by using long-time-sequence data according to the soil information, and determining the influence of rainfall, snow melting and evaporation on the reflectivity; step 3, training data of each wave band through a deep neural network according to the influence information of the reflectivity; through an adaptive learning algorithm and a model parameter regular updating mechanism, the problem that in the prior art, characteristic spectrums of wet soil, vegetation and bare soil are overlapped due to seasonal changes is effectively solved, after the seasonal modulation factors are introduced, the system can accurately capture influences of natural factors such as rainfall, snow melting and evaporation on the soil reflectivity, and the soil reflectivity is improved. And model parameters are adaptively adjusted, so that the interference of reflectivity fluctuation on a monitoring result in wet and drought states is eliminated, and the stability of long-term monitoring is ensured.

The present invention belongs to the field of shale oil exploration. Provided are an evaluation method for the content of movable oil in shale, and a device and a storage medium. The evaluation method comprises the following steps: on the basis of pyrolysis test data of a sample to be tested at different aging times, determining a first recovery coefficient; on the basis of pyrolysis test data of said sample in different sample crushing environments, determining a second recovery coefficient; on the basis of pyrolysis test data of said sample at different crushing particle sizes, determining a third recovery coefficient; on the basis of pyrolysis test data of said sample at different pyrolysis temperatures, determining a fourth recovery coefficient; determining the product of the first recovery coefficient, the second recovery coefficient, the third recovery coefficient and the fourth recovery coefficient to be a light hydrocarbon recovery coefficient; and on the basis of the light hydrocarbon recovery coefficient, evaluating the content of movable oil in shale. The method provided in the present invention offers guidance for quantitatively evaluating the oil content of shale, and a finally determined free oil content result has a relatively small difference from the actual situation.

The invention relates to a soil dry density and moisture content calibration and measurement method and device based on an active heating optical fiber, computer equipment and a computer readable storage medium. The method comprises the following steps: configuring first test soil samples with specified dry densities and different mass moisture contents; obtaining temperature characteristic values of the first test soil samples under the conditions of specified dry density and different mass moisture contents; fitting a temperature characteristic value-mass moisture content calibration formula; respectively heating and testing the second test soil samples with different mass moisture contents under different dry density conditions to obtain a temperature characteristic value-mass moisture content calibration formula under different dry density conditions; establishing a calibration correction model which simultaneously considers two parameters of dry density and mass moisture content; and obtaining the dry density or the mass moisture content of the to-be-detected soil body. By adopting the method, the limitation that a traditional model is only suitable for a single dry density condition can be broken through, and accurate measurement on the in-situ soil body under different dry density and mass moisture content conditions is realized.

The invention discloses a real-time target detection and intelligent identification system and method based on an unmanned aerial vehicle image, and relates to the technical field of image target detection. According to the invention, the dual-mode sensor is carried, and pixel-level data alignment is realized through a space-time synchronization error control matrix; a dynamic feature fusion module is utilized, and differential representation of visible light and methane data is captured and concentration-space joint features are enhanced through cross-modal weight learning, leakage feature perception and an adaptive fusion unit; a region attention calculation module is constructed, sub-region attention scores are generated based on multi-dimensional data such as historical leakage records and pipeline density, and resource priorities are dynamically distributed and calculated; and the model optimization module combines the attention level and the real-time computing power load, and dynamically adjusts the channel resources through a reference retention ratio and a dynamic pruning strategy.

The invention provides a thermal behavior experiment system and method under a narrow rectangular channel reflooding cooling condition. The system comprises a heating water storage tank, a nitrogen tank, a steam tank, a shield pump, a preheating section, a first direct-current power supply, a second direct-current power supply, a narrow rectangular channel test section, a steam-water separator, a surge tank, a flow control valve, a silencer and an electromagnetic valve. The experimental working medium is deionized water, and re-submerging cooling experiments under different system pressures, working medium supercooling degrees, heating wall surface heat flux densities, working medium submerging speeds, heating wall surface initial temperatures and channel interior initial liquid levels can be carried out on an experimental section of a narrow rectangular channel structure. The device is suitable for narrow rectangular channel structures with different sizes, and can be used for carrying out re-submerging experiments on experiment sections with single-plate double-channel, double-plate three-channel and more channels. The system pressure and the inlet flow in the submerging process can be kept stable, and it can be ensured that the supercooling degree of a working medium, the heating wall surface temperature and the initial liquid level are controllable.

The invention discloses a bonding silver wire quality detection method and system, and relates to the technical field of bonding quality detection.The bonding silver wire quality detection method comprises the steps that a thermal infrared imager is adopted to scan a bonding area, and temperature field distribution data in the bonding process is obtained; scanning the bonding area by adopting a magnetic conductivity measuring probe to obtain magnetic conductivity distribution data of the bonding area; performing 10 * 10 grid division on the bonding area, and performing feature extraction on the temperature field distribution data and the magnetic conductivity distribution data based on divided grids to obtain thermal feature parameters and magnetic feature parameters; and calculating a bonding silver wire quality score according to the thermal characteristic parameters and the magnetic characteristic parameters, and judging the bonding quality of the silver wire according to a score result to obtain a bonding quality evaluation result. According to the method, the limitation of traditional single parameter detection is broken through, the accuracy and reliability of bonding quality evaluation are remarkably improved, and a systematic technical support is provided for improvement of the bonding process level.

The invention provides a tumor electric field treatment system, an electrode slice temperature detection method and an electrode slice anomaly detection method, the system comprises an electrode slice and an adapter provided with a first controller, the electrode slice comprises a plurality of electrode units and a plurality of temperature detection units, the plurality of temperature detection units are divided into a plurality of row groups and a plurality of column groups, and the first controller is connected with the adapter. The grounding ends of the temperature detection units in each row group are jointly connected to the same grounding wire, and the signal ends of the temperature detection units in each column group are connected to the same dual-purpose signal wire after being in short circuit with the corresponding electrode units; when the dual-purpose signal line is connected to the temperature sampling point, the grounding wires are sequentially conducted, so that temperature detection signals detected by the temperature detection units are sampled based on the temperature sampling point; when the dual-purpose signal line is connected to the alternating power line, alternating electric signals are transmitted to the electrode units. Therefore, the temperature of the electrode plate can be detected by using fewer conductive traces, and whether the electrode plate is abnormal or not can be judged through temperature detection.

The invention relates to the field of hydrogen leakage and combustion detection, and discloses a hydrogen leakage and combustion identification method, which comprises the following steps: S1, collecting multiple types of detection signals from acoustic, electrochemical and infrared thermal image sensors; s2, preprocessing the collected signals to generate a multi-dimensional feature space; s3, constructing a topological structure in the multi-dimensional feature space, extracting topological features, and generating topological descriptors; s4, analyzing the time dynamic change of the topology descriptor based on a Markov chain model; s5, calculating the topological similarity between the real-time signal and the known mode, and carrying out mode matching; and S6, calculating a signal state through a comprehensive decision function, judging whether a hydrogen leakage or combustion event exists, and triggering a corresponding alarm. According to the invention, through multi-sensor cooperative monitoring, signal preprocessing, topological structure analysis and dynamic modeling, high-precision real-time monitoring and reliable alarm of hydrogen leakage and combustion are realized, and the system has the advantages of high sensitivity, low missing report rate and rapid response.

The invention relates to the technical field of road engineering, in particular to a method for determining the optimal construction temperature of warm-mixing synchronous regeneration of waste SBS (styrene butadiene styrene) modified asphalt, which comprises the following steps: customizing a two-component synchronous regeneration agent for SBS modified asphalt with different aging degrees; warm-mixing synchronous regenerated SBS modified asphalt at different temperatures is prepared, and thermal insulation treatment is performed to simulate the actual construction process; testing the typical rheological property of the warm mixing synchronous regenerated SBS modified asphalt; drawing a warm mixing synchronous regeneration temperature-rheological property scatter diagram, and constructing a corresponding fitting equation; ideal temperature intervals of high-temperature rutting resistance, medium-temperature cracking resistance and low-temperature fracture resistance are divided, and the intersection of the three temperature intervals is used as the optimal warm mixing synchronous regeneration temperature. According to the method, the warm mixing synchronous regeneration temperature can be quickly and accurately determined, the synergistic interaction effect of the double-component synchronous regeneration agent-warm mixing agent is exerted, and meanwhile, the performance loss of the regenerated asphalt mixture caused by secondary aging due to too high heating temperature is avoided.

The invention provides a tumor electric field treatment system, an electrode slice temperature detection method and an electrode slice anomaly detection method, the system comprises an alternating current signal generator, an electrode slice and a controller, the electrode slice comprises a plurality of electrode units and a plurality of temperature detection units, the plurality of temperature detection units are divided into a plurality of row groups and a plurality of column groups, and the plurality of electrode units are connected with the controller. The grounding ends of the temperature detection units in each row group are jointly connected to the same grounding wire, and the signal ends of the temperature detection units in each column group are connected to the same dual-purpose signal wire after being in short circuit with the corresponding electrode units; when the dual-purpose signal line is connected to the temperature sampling point, the grounding wires are sequentially conducted, so that temperature detection signals detected by the temperature detection units are sampled based on the temperature sampling point; when the dual-purpose signal line is connected to the alternating power line, alternating electric signals are transmitted to the electrode units. Therefore, the temperature of the electrode plate can be detected by using fewer conductive traces, and whether the electrode plate is abnormal or not can be judged through temperature detection.

The invention discloses a salinization farmland crop yield prediction method, which is applied to the technical field of crop yield monitoring and prediction, and comprises the following steps: based on a vegetation index and a salinity index, inverting salinity by using a partial least square regression method; inverting the soil moisture based on an empirical relation model of the conditional vegetation temperature index and the actually measured soil moisture; inverting the leaf area index based on an empirical relation model of the normalized vegetation index and the actually measured leaf area index; the method comprises the following steps: constructing an HYDRUS-1D-EPIC coupling model considering salinity, carrying out sensitivity analysis by using an extended Fourier amplitude sensitivity test method, carrying out parameter calibration and posterior distribution inference on the coupling model by using an MCMC method, and sampling posterior distribution by using a DREAM method; and assimilating the inverted salinity, soil moisture and leaf area index to the coupling model by using an ensemble Kalman filtering method, and predicting the crop yield of the salinized farmland. According to the method, the yield prediction precision of the salinized crops is effectively improved.

The invention relates to the field of seepage analysis, and particularly discloses a loess slope seepage three-dimensional observation device and method under circulating seepage, and the method comprises the steps: constructing a loess seepage slope physical simulation experiment model, collecting an experiment sample image by using an image collection device, and analyzing the attribute parameters of the device to determine whether to adjust the device; preprocessing, bilateral filtering and temperature difference analysis are carried out on the collected experiment image, preprocessing process parameters are monitored, preprocessing precision factors are evaluated according to the parameters, and whether secondary processing is carried out or not and temperature abnormal areas are separated or not is judged; matching a temperature mapping parameter set based on the precision factor, evaluating the mapping accuracy, and correcting as required; finally, an initial three-dimensional temperature field is generated in combination with sensor data, and a permeation path is generated for three-dimensional rendering; according to the method, through multi-step cooperation, three-dimensional observation and analysis of loess slope seepage are achieved, a systematic technical scheme is provided for research of loess slope seepage characteristics, and improvement of the accuracy and the visualization level of slope seepage research is facilitated.

The invention belongs to the technical field of PCB testing, and discloses a performance testing method of an AI server PCB. Comprising the following steps: acquiring power-on operation temperature data of the PCB to construct a temperature distribution image, determining hot spot region characteristics based on the temperature distribution image to obtain heating test parameters, performing heating test on the PCB based on the heating test parameters, acquiring thermal resistance of each position of a hot spot region, drawing a thermal resistance characteristic curve, and analyzing the thermal resistance characteristic curve to obtain a thermal performance grade of the PCB. The bending rate of the bending test is determined according to the basic parameters of the PCB, the bending force is adjusted in real time according to the bending rate during the test, the test is stopped when the stress or the strain reaches a threshold value, the test data is analyzed to obtain the bending resistance grade of the PCB, and the PCB is divided into different grades by combining the thermal performance grade. According to the method, the efficiency and reliability of PCB testing are remarkably improved.

The invention relates to a device and a method for simulating influence of underground water seepage on an existing tunnel and a freezing wall, the device comprises a test box body, a tunnel model, a seepage system, a data acquisition monitoring system, a saline water circulation cooling system and a saline water circulation heating system, the test box body is formed by splicing three box bodies with different structures; a formed space area is used for laying a test soil body and a broken stone hardcore; the tunnel model is arranged in the hollow area in the test box body; the seepage system is used for providing an underground water source for simulating seepage; the data acquisition monitoring system is used for monitoring and recording the soil pressure and displacement of the soil body around the tunnel model and the temperature change of the soil body near the freezing pipe; the saline water circulating cooling system is used for providing cooling capacity required by soil body freezing; and the saline water circulation heating system is used for providing heat required for pulling out the freezing pipe. The device can be used for simulating the influence of groundwater seepage on soil deformation and soil pressure around the existing tunnel, adjusting the seepage direction of groundwater and restoring more real groundwater seepage movement.

The invention relates to the technical field of data processing, and discloses a building construction quality real-time monitoring method and system based on a sensor network. The method comprises the steps of constructing a sensor grid through hydration heat gradient mapping, recognizing welding defects based on acoustic emission spectrum texture and wavelet packet decomposition, obtaining a quality situation by adopting maintenance age weight time-varying fusion, performing multi-scale anomaly detection by applying a residual attention mechanism, and dynamically adjusting a threshold value to generate an intervention strategy in combination with a working condition switching trigger. And intelligent construction quality monitoring is realized. Through the multi-scale feature extraction and cross-modal data fusion technology, the accuracy and real-time performance of construction quality monitoring are remarkably improved.

The invention discloses a creep test system of a turbine rotor blade film hole simulation piece and a test method of the creep test system. Comprising a clamping assembly used for fixing a test piece, a loading assembly used for applying a load to the test piece, a strain measuring assembly used for measuring the strain rate of the test piece, a heating assembly used for covering the test piece to form a heating channel, and a cooling assembly used for manufacturing and conveying cooling airflow to flow through the interior of the test piece, the strain measurement assembly is used for measuring the external temperature of the test piece and the internal temperature of the test piece, the control assembly is connected with the strain measurement assembly, the heating assembly, the cooling assembly and the temperature measurement assembly, and the heating assembly is used for manufacturing and conveying high-temperature airflow to flow through the heating channel so as to heat the outside of the test piece to a first set temperature; the cooling assembly is used for cooling the interior of the test piece to a second set temperature, and the heating assembly and the cooling assembly are used for forming a dynamic convection environment around the test piece.

The invention provides a tumor electric field treatment system, an electrode slice temperature detection method and an electrode slice anomaly detection method, the system comprises an electrode slice and an adapter provided with a first controller, the electrode slice comprises a plurality of electrode units and a plurality of temperature detection units, the plurality of temperature detection units are divided into a plurality of row groups and a plurality of column groups, and the first controller is connected with the adapter. The grounding ends of the temperature detection units in each row group are jointly connected to the same grounding wire, and the signal ends of the temperature detection units in each column group are connected to the same dual-purpose signal wire after being in short circuit with the corresponding electrode units; when the dual-purpose signal line is connected to the temperature sampling point, the grounding wires are sequentially conducted, so that temperature detection signals detected by the temperature detection units are sampled based on the temperature sampling point; when the dual-purpose signal line is connected to the alternating power line, alternating electric signals are transmitted to the electrode units. Therefore, the temperature of the electrode plate can be detected by using fewer conductive traces, and whether the electrode plate is abnormal or not can be judged through temperature detection.

The invention provides a reinforcing mesh multi-welding-spot quality detection method and system based on infrared thermal imaging. Wherein for each crossed steel bar welding spot, the fusion form of the crossed steel bar welding spot is identified based on the thermal radiation image; based on the fusion forms of all the crossed steel bar welding spots, quality detection results of the multiple welding spots of the steel bar mesh are generated, and the quality detection results comprise geometric judgment results used for representing whether the fusion forms meet preset form requirements or not; and according to the quality detection result, a corresponding early warning mode is adopted for self-adaptive early warning, and welding parameters adopted by the next electric resistance welding process are adjusted according to early warning information. According to the technical scheme provided by the invention, millisecond-level multi-welding-spot synchronous quality detection and process closed-loop optimization are realized, and the production yield and the process adaptability of the large reinforcing mesh are greatly improved.

The invention relates to the technical field of lens testing, and discloses a multifunctional optical lens testing lens device which comprises a connecting frame. A casing; a lens body; the positioning assembly is used for fixing the position when the lens body is detected; the detection assembly is used for carrying out multidirectional detection on the lens body; the detection assembly comprises an air pressure detection part, an impact detection part and a vibration detection part; and a driving assembly. According to the multifunctional optical lens testing lens device, multi-direction detection of the lens can be realized through the arranged detection assembly, and multi-direction synchronous detection in vibration, impact, air tightness, waterproofness and high-temperature environments is realized, so that each detection is in a linked state, the detection effect of the lens in different high-complexity environments is improved, and the detection efficiency is improved. And the whole detection process is carried out in one device, and single position conversion is not needed, so that a high-intensity environment is provided for the test of the lens, and the stability of the lens is finally detected.

The invention provides a method for measuring the thermal runaway characteristic of a battery, which is used in the technical field of accurate measurement and thermal runaway testing of the volume, components and content of produced gas in the thermal runaway process of the battery, and the measurement method comprises the following steps: step 1, installing a test object in an experiment cabin, and carrying out pre-inflation replacement on the experiment cabin, the gas environment in the experiment module is a pre-inflation environment in a normal pressure state; 2, when the initial temperature value in the cabin is equal to the initial temperature of the surface of the battery, the battery is controlled to be heated or overcharged through an adapter on the experiment cabin, and the current temperature value in the cabin and the temperature value of the surface of the battery are recorded; and 3, recording the pressure value and the temperature value of the battery in the cabin in real time during thermal runaway, and calculating the gas production rate of the battery. According to the method, the gas production volume and components in thermal runaway are accurately measured, and the gas production rate and the total heat release amount in the thermal runaway period are calculated; the multi-dimensional characteristics of the thermal runaway behavior are obtained through one-time testing, and the thermal runaway safety of the battery is comprehensively evaluated.

The invention discloses a high-pressure sleeve sheath aging evaluation method and system based on feature unevenness, and belongs to the technical field of high-pressure sleeve operation and maintaining.The method comprises the steps that a to-be-tested high-pressure sleeve sheath is sampled, the interior of a sheath body is selected as a reference area, and meanwhile multiple aging feature areas on the surface of the sheath are selected as aging areas; repairing the sampled insulated damaged area, injecting a nano silicon dioxide modified silicone rubber filler, and performing ultraviolet curing; performing group degradation characteristic test and thermal stability characteristic test on the sampled sample to obtain aging characteristic parameters including characteristic peak absorptivity of each group and thermogravimetric residual rate parameters of different temperature points; taking the aging characteristic parameter of the reference area as a reference value, respectively calculating a single parameter deviation degree of each aging area, and calculating a comprehensive aging non-uniformity value; and according to a comparison result of the comprehensive aging non-uniformity value and a preset grading threshold value, outputting an aging grade of the high-voltage sleeve sheath and a corresponding operation and maintenance strategy.

The invention discloses a modularized multipurpose gas flow heat exchange experiment section. The experiment section comprises a cooling ring cavity assembly, an experiment section heat exchange inner pipe, an inlet and outlet gas guide pipe, a heat insulation layer, a wall surface temperature thermocouple, a thermocouple fixing curved surface, an outer ring cavity fixing lantern ring, a fixing bolt and a flexible sealing material. An experiment section heat exchange inner pipe is a high-temperature-resistant alloy long pipe, working medium gas and a cooling medium are arranged inside and outside the pipe respectively, and a nanometer heat insulation layer and a gas circulation guide pipe are arranged in the two ends of the inner pipe so as to reduce unnecessary gas heat exchange; the wall surface temperature measuring thermocouple is fixed on the pipe wall in a silver brazing manner to realize accurate measurement of the wall surface temperature; in addition, the cooling ring cavity assembly is composed of an upper piece and a lower piece which are connected in a flange mode and filled with flexible materials for sealing. The experimental section can be used for carrying out flow heat exchange research on heating or cooling working conditions according to requirements in the use process, and meanwhile, each component is modularly mounted to realize flexible replacement and change, so that the reliability and the expandability are greatly improved.

The invention provides an electric wire and cable nondestructive on-line detection method which comprises the following steps: acquiring an electromagnetic signal, temperature distribution data, chemical component change data and mechanical vibration data of an electric wire and cable to be detected through a multi-mode sensor network; the electromagnetic signals, the temperature distribution data, the chemical component change data and the mechanical vibration data are subjected to data preprocessing, and a multi-dimensional data set is constructed; performing data fusion on the multi-dimensional data set through a multi-physics field coupling model to generate multi-dimensional feature data; performing defect identification based on the multi-dimensional feature data to generate a defect data set; and performing dynamic early warning according to the defect data set to generate an early warning data set. Electromagnetic, temperature, chemical and vibration data are comprehensively covered through the multi-mode sensing network, accurate recognition and early warning of wire and cable defects are achieved through preprocessing and multi-physics field coupling model fusion, the method has the advantages of being lossless online, comprehensive, intelligent and dynamic, and detection reliability and operation and maintenance efficiency are remarkably improved.

The invention relates to the technical field of mine freezing construction, in particular to a deep strong permeable fracture soft rock stratum vertical shaft frozen wall analysis method which comprises the steps that freezing points reaching the freezing temperature are collected and fitted into a freezing temperature field; dividing a freezing area according to the position of each freezing point in the freezing temperature field and the time point when the freezing point reaches the freezing temperature, and forming a freezing boundary according to the morphological characteristics of the freezing area; deriving position points at the frozen boundary according to the positions of the frozen boundary in a plurality of time periods, and checking the advancing trend of the frozen boundary according to the spacing distance and the spacing temperature gradient between the position points; based on the advancing trend of the current frozen boundary, setting a boundary condition under the advancing trend; dividing the freezing temperature field into a plurality of evaluation temperature surfaces by using the boundary condition of the current freezing boundary, iterating the freezing temperature field by using the evaluation temperature surfaces, and correcting the freezing boundary; the accuracy of freezing boundary identification is realized, and the safety and efficiency of freezing construction are improved.

The invention belongs to the technical field of glass production and manufacturing, and particularly discloses a glass substrate edge detection system and a repairing method thereof, and the glass substrate edge detection system comprises a transmission unit, a detection module, a processing control module, a repairing execution module and an auxiliary unit. The detection module adopts a multispectral imaging and laser displacement sensing technology: a visible light imaging unit captures surface texture defects, a near-infrared imaging unit detects internal microcracks in a penetrating manner, and an ultraviolet imaging unit excites a fluorescent substance to enhance the defect contrast; the laser displacement sensor is combined with an adaptive focusing technology to realize three-dimensional contour submicron-level measurement. And the processing control module identifies the defect type through a deep learning algorithm and generates a repair instruction based on the three-dimensional data. And the repairing execution module is used for quickly changing a laser repairing head, a glue repairing head or a grinding head through a mechanical arm and executing repairing processes such as laser cladding, nano spraying or UV glue repairing according to parameters such as the edge breakage depth and the crack length, so that the detection precision and the repairing efficiency of the edge defects of the glass substrate are remarkably improved.

The invention provides an adapter and a tumor electric field treatment system, an electrode plate comprises a plurality of electrode units and a plurality of temperature detection units, the plurality of temperature detection units are divided into a plurality of row groups and a plurality of column groups, and the grounding ends of the temperature detection units in each row group are connected to the same grounding wire. The signal end of each temperature detection unit in each column group is in short circuit with the corresponding electrode unit and then is connected to the same dual-purpose signal line; a bidirectional change-over switch of the adapter is configured to switch a dual-purpose signal line to be connected to a temperature sampling point or an alternating power line, and when the dual-purpose signal line is connected to the temperature sampling point, each grounding line is conducted in sequence so that a temperature detection signal detected by each temperature detection unit is sampled based on the temperature sampling point; and when the dual-purpose signal line is communicated with the alternating power line, an alternating current signal is transmitted to each electrode unit through the dual-purpose signal line, so that partition control and comprehensive temperature detection of the electrode plate are realized.