2024results about "Material thermal analysis" patented technology

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 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 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 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 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 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 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 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 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 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.

The invention relates to the technical field of bridge engineering material tests, and discloses a bridge structure corrosion fatigue coupling test method and system based on artificial intelligence. The bridge structure corrosion fatigue coupling test method based on artificial intelligence comprises the following steps: accurately expressing interaction among physical fields by constructing a multi-physical field coupling mathematical model; a deep reinforcement learning algorithm is applied, an environment parameter cooperative control model is built, and multi-environment-parameter high-precision self-adaptive regulation and control are achieved; building an environment acceleration test equivalence mapping model, and balancing the optimal acceleration ratio and equivalence of the acceleration test; constructing a generalized predictive control model to achieve multi-physical field cooperative regulation and control; a real-time system identification and parameter updating model is constructed, multi-physical field interaction influence is compensated, and stable control is achieved; according to the method, the test environment control precision is improved, multi-environment-condition cooperative control is realized, the test period is shortened, the test authenticity and the result stability are improved, and reliable data support is provided for bridge structure safety assessment.

The invention provides a tumor electric field treatment system and an electrode slice temperature detection method, the system comprises 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, 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. In this way, a plurality of electrode units can be zoned and controlled using fewer conductive traces.

The invention provides an electrode plate and a tumor electric field treatment system, the 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 a grounding pin through a control switch. The signal end of each temperature detection unit in each column group is connected to a bidirectional change-over switch through a dual-purpose signal line after being respectively in short circuit with the corresponding electrode unit; when the dual-purpose signal lines are connected to the temperature sampling points, temperature detection signals detected by the corresponding temperature detection units in the corresponding column groups are respectively sampled based on the temperature sampling points by configuring the on-off states of the control switches; when the dual-purpose signal lines are connected to the alternating power lines, alternating electric signals are applied to the electrode units in the corresponding column groups based on the alternating power lines. In this way, a plurality of electrode units can be zoned and controlled using fewer conductive traces.

The system for deicing black ice includes a plurality of laser scanners that are arranged at intervals along a road, each laser scanner including a light source unit, a non-contact temperature sensor, and a control unit that controls an operation of radiating the laser to the area in charge, a weather sensor that measures a temperature and humidity, and an integrated controller that communicates with the plurality of laser scanners. The integrated controller determines whether the laser is radiated to the road surface based on at least one of the measured temperature and humidity, and when the laser radiation is determined, generates a control signal to activate at least one laser scanner, and the control unit determines a heating area, and generates a pulse signal to turn on / off a light source unit so that the laser is radiated in accordance with a shape and range of the heating area.

The invention relates to the field of pesticide composition screening, and discloses a stabilizer screening process for improving the low-temperature stability of a chlorantraniliprole and lufenuron suspending agent, which comprises the following steps: a) analyzing the low-temperature behavior of chlorantraniliprole and lufenuron based on molecular simulation, constructing a candidate stabilizer molecule library, and preliminarily screening candidate stabilizers; b) applying low-temperature stress to the chlorantraniliprole and lufenuron suspending agent sample containing the candidate stabilizer by using a microfluidic platform, and performing in-situ dynamic characterization to obtain dynamic data related to the low-temperature stability of the sample; and c) processing the dynamic data, and establishing an evaluation index representing the low-temperature stability performance of the candidate stabilizer. According to the invention, a cognitive bridge from a micromechanism to a mesoscopic phenomenon is constructed by integrating molecular simulation pre-screening and microfluidic high-throughput dynamic characterization. The problems of long research and development cycle and resource consumption caused by a large number of trial and error and experience judgment in a traditional screening method are effectively solved.

The invention provides a fracture deformation-seepage cross-scale visualization experiment device and a test method, and relates to the technical field of hydraulic rock mechanics and measurement. Comprising a macroscopic observation assembly, a microscopic observation assembly, a microscopic seepage model, a temperature-stress-seepage loading system, a monochromatic coaxial light source and a data acquisition and analysis system, the microscopic seepage model is used for placing a fractured rock mass; the temperature-stress-seepage loading system is used for injecting fluid with fluorescent microspheres into the microcosmic seepage model, applying load, regulating and controlling temperature and collecting data; the data acquisition and analysis system is used for processing data and images. By arranging the macroscopic observation assembly and the microcosmic observation assembly, double-scale synchronous observation is achieved, the whole process of fracture internal fluid interface evolution and rock mass deformation can be obtained in real time under the multi-physics field coupling conditions of temperature, stress, seepage and the like, visual correlation of deformation, flow and stress is achieved, and the measurement accuracy is improved. And an experimental basis is provided for establishing a fracture multi-field coupling mechanism model.

The invention discloses a high-temperature supercritical carbon dioxide steady-state jet flow experiment device and method, and the device comprises a liquid storage tank, a liquid booster pump, a plunger pump, a first mass flow meter, a second mass flow meter, a heating section, a first electric control valve, a first-stage cooler, a second-stage condenser, a back pressure valve, and a main loop system composed of related pipe fittings and equipment. The gas supply system consists of a carbon dioxide gas cylinder group, a gas storage tank, a gas booster pump and related pipe fittings and equipment; and the jet experiment section consists of a spray pipe, a second electric control valve, an electric stop valve and related pipe fittings and equipment. The invention further provides an experimental method of the device. According to the invention, the steady-state jet flow experiment research of supercritical carbon dioxide under the high-temperature condition can be realized.

The invention relates to the technical field of metal wire processing, and discloses a high-performance metal wire plastic coating process for aerospace engineering, which comprises the following steps: carrying out base material type selection on a metal wire, and carrying out surface treatment of precise cleaning, etching and depth gradient activation; a Ti-Cr alloy and graphene-copper composite transition layer is deposited through a magnetron sputtering technology, and a multi-layer coating structure is formed through electrostatic spraying of a base coating, a fluidized bed dipping function layer and high velocity oxy-fuel spraying of a nano composite coating in sequence; the molybdenum-gold composite sealing layer is prepared by adopting an electric arc spraying technology, and is subjected to vacuum ultraviolet curing enhancement, high-temperature gradient annealing, gradient sintering and vacuum curing treatment; and heat radiation on the surface of the coating is enhanced through laser-induced micro-nano structure regulation and silicon nitride film sputtering. Through collaborative optimization of base material treatment, coating construction, function strengthening and quality control, the interface bonding strength, the comprehensive performance and the environmental adaptability of the spaceflight metal wire coating are remarkably improved, and the service life of the spaceflight metal wire coating is remarkably prolonged.

The invention relates to the technical field of gas station safety risk assessment, in particular to a gas station safety risk assessment method and system. The gas station global infrared image is acquired in real time by deploying the multi-band infrared imaging array, dark current compensation, gain correction and atmospheric transmittance calibration are combined, the oil gas concentration detection precision is remarkably improved, and based on the homography matrix dynamic coordinate alignment technology, the oil gas concentration detection precision is greatly improved by utilizing mark point re-projection error optimization and feature point optical flow tracking. The problem of coordinate drifting caused by thermal deformation is solved, it is ensured that the space positioning error is continuously lower than 2 pixels, and by combining time sequence concentration field construction and a hybrid prediction model, precise deduction of an oil gas concentration field at any moment in the future is achieved, real-time monitoring of a gas station is achieved, and fire blast accidents caused by detection lag are eradicated from the source; the technical problem that potential safety risks are difficult to discover in time through an existing method for monitoring the oil gas concentration of the gas station is solved.

The invention discloses a method for measuring the focus heat effect and the heat damage of a Raman probe. The method comprises the following steps: S1, establishing a stable laser output system, and configuring a proper optical focusing system; s2, heating the standard sample to a target temperature according to a preset step length, keeping for several minutes at each target temperature, and performing spectral measurement on the standard sample by using a Raman spectrometer; s3, in the Raman spectrum measurement process, carrying out real-time temperature monitoring on the surface of the standard sample, and carrying out normalization processing on collected Raman spectrum data; s4, establishing a quantitative relation model between the relative intensity change characteristic # imgabs0 # of the Raman spectrum and the temperature T; and S5, predicting the temperature T of the standard sample under the current preset parameters according to the model, and adjusting the measurement parameters according to the prediction result, so that the predicted temperature T is lower than the temperature threshold value of the to-be-detected sample. According to the method, the thermal effect of the laser can be predicted before Raman measurement, proper measurement parameters are set in advance, and thermal damage to a measured sample is avoided.

The invention provides a method for recovering free hydrocarbon contents of different lithologic shale. The method comprises the following steps: carrying out closed freezing heat release, freezing pyrolysis and freezing multi-temperature-order pyrolysis experiment test analysis on a closed coring well core; performing freezing pyrolysis experiment test analysis on the core of the non-closed coring well; carrying out pyrolysis experiment test analysis on the multi-courtyard core; determining the lithology type of the shale; and recovering the free hydrocarbon content of the shale according to an experimental test analysis result and the lithology type. According to the method, light hydrocarbon loss can be reduced to the greatest extent, the content of free hydrocarbons in different lithology non-closed coring well samples and placed samples is recovered, and the accuracy of shale oiliness evaluation is improved.

The invention provides a transformer fault processing method and device. Acquiring data of gas components released by decomposition in mineral oil of the transformer to be detected, and determining the fault type of the transformer according to high-energy gas components in the gas component data; acquiring matched target gas component data from the gas component data according to the fault type of the transformer; determining whether paper carbonization exists in the transformer or not according to the target gas component data; and when paper carbonization does not exist in the transformer, performing matched fault processing on the transformer according to the fault type of the transformer. Therefore, the fault type can be accurately recognized, and the recognition capability of the potential degradation state of the insulating material is remarkably improved.