1896results about "Fuel testing" patented technology

The invention discloses a deep coal rock in-situ gas content and adsorption / free gas proportion calculation method and device, and relates to the field of reservoir resource potential evaluation.The deep coal rock in-situ gas content and adsorption / free gas proportion calculation method comprises the steps that an isotope fractionation model coupled with a double-dispersion pore structure (matrix pores and kerogen pores) and a multi-gas transmission mechanism (viscous flow, Knudsen diffusion and surface diffusion) is constructed; the accumulated analytic gas quantity and the apparent isotope value of the produced gas obtained through solving are fitted with the actually measured accumulated analytic gas quantity and the apparent isotope value of the produced gas, and key parameters corresponding to the optimal fitting result are obtained; and determining the in-situ gas content, the in-situ adsorption gas proportion and the in-situ free gas proportion according to the productivity evaluation parameters at the initial moment corresponding to the optimal key parameters. According to the method, the in-situ gas content, the in-situ adsorbed gas proportion and the in-situ free gas proportion of the deep coal rock are calculated on the basis of an isotope fractionation model coupled with a double-dispersion pore structure and a multi-gas transmission mechanism, so that the gas resource content of the deep coal rock is predicted.

The invention relates to the technical field of coal rock seepage evolution information data processing, and particularly provides an anisotropic coal rock adsorption-permeability coupling model and a seepage evolution method. The method comprises the following steps: preprocessing by collecting original data of coal rock, identifying anisotropic characteristics of the coal rock, and carrying out analysis and calculation according to the anisotropic characteristics to obtain water and gas coal rock deformation characteristic permeability; a permeability coupling model is constructed, the seepage evolution process of the coal rock is simulated, and the coal rock deformation characteristic permeability is obtained; and comparing the water and gas coal rock deformation characteristic permeability with the coal rock deformation characteristic permeability, and verifying the simulation precision. According to the method, the permeability change of the coal rock under different conditions can be more accurately predicted, and a scientific basis is provided for engineering such as coal seam water injection and gas extraction; by considering the anisotropic characteristics and multi-factor influence of the coal rock, a more accurate permeability coupling model is constructed, and the prediction precision and practicability of the permeability coupling model are improved.

The invention discloses a coal quality online detection method, which comprises a sample acquisition module, a sensor integration module, an online detection module, a data processing and analysis module, an automatic control module, a self-adaptive calibration and maintenance module and a result output and feedback module. According to the coal quality on-line detection method disclosed by the invention, accurate measurement of coal quality parameters can be realized by virtue of a high-precision sensor and an advanced data processing algorithm and a coal quality on-line detection technology; compared with a traditional laboratory detection method, the method has the advantages of being smaller in error, more reliable in result and high in automation and intelligence, and automatic control and data analysis in the detection process can be achieved; therefore, manual intervention and personal errors are reduced, the detection efficiency and the working efficiency are improved, the manual maintenance and operation cost is reduced through the automatic and intelligent design, and meanwhile the stability and the reliability of the system are improved.

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 discloses an intelligent monitoring and early warning method for gas concentration of an ultra-thin coal seam, and belongs to the technical field of gas monitoring. The method comprises the following steps: transmitting gas data to a ground platform in real time by using a 5G technology through monitoring devices and worker portable equipment which are arranged in each underground area; constructing an underground three-dimensional model by combining infrared remote sensing and a visualization technology, dividing a working area and generating a gas concentration stereogram; a width learning neural network optimized by an SCSO algorithm is adopted to predict concentration change, and a dynamic early warning system is established in combination with weighted optimization analysis of regional ventilation capacity; and finally, a regional standard exceeding alarm is sent to a monitoring device and personnel equipment through 5G communication, so that accurate positioning early warning is realized. According to the method, multi-dimensional data modeling and an intelligent algorithm are fused, and the real-time performance and accuracy of gas monitoring of the ultra-thin coal seam are improved.

Methods and systems for coking coal blends to produce foundry coke products are disclosed herein. Methods for producing coke products can include charging a coal blend into a coke oven; and heating the charged coal blend such that a crown temperature of the coke oven is greater than a lower bound coking temperature. The pyrolysis duration begins when the crown temperature of the oven is greater than the lower bound coking temperature, and ends when the crown temperature of the oven is less than the lower bound coking temperature.

The invention discloses a hydrocarbon fuel boiling point and quasi-critical parameter measurement and phase diagram drawing method. The method comprises the following steps: conveying a target substance to a calorimetric tube and heating the target substance to a target temperature; relevant parameters are monitored in real time; according to the parameters monitored in real time, the boiling point of the target substance is obtained based on heat transfer characteristics in the fluid phase change process; on the basis of an energy transfer model between the calorimetric tube and the fuel, a function of a target substance heat sink changing along with the temperature is obtained online; after the heat measuring pipe is cooled to the room temperature, the pressure is adjusted, and the steps continue to be executed to obtain functions of the boiling point of the target substance and the heat sink of the target substance changing along with the temperature under different pressures; based on a quasi-critical parameter measurement method, quasi-critical parameters of a target substance are obtained, and a P-T phase diagram of the target substance is drawn. The invention further discloses a device for hydrocarbon fuel boiling point and quasi-critical parameter measurement and phase diagram drawing. According to the method and the device, accurate measurement of the boiling point and the quasi-critical parameters and accurate drawing of the phase diagram can be realized.

The invention relates to an MPRFS-based method for evaluating the efficiency of a gas-powder two-phase explosion suppressant in suppressing gas and coal dust explosion, and belongs to the technical field of coal mine underground gas and coal dust explosion protection. The method comprises the following steps: constructing a mathematical model for inhibiting gas and coal dust explosion by the gas-powder two-phase explosion suppressant; determining initial conditions, boundary conditions and input parameters of the numerical model; establishing a three-dimensional physical model of the explosion container; constructing a simulation calculation grid and a gas, coal dust and gas powder two-phase explosion suppressant distribution domain; creating a thermodynamic file and a reaction kinetics file of gas and coal dust composite explosion and explosion suppressant decomposition; developing a CFD (Computational Fluid Dynamics) numerical simulation solver and an OpenFOAM-Cantera coupling interface; solving a numerical model and correcting the model; and evaluating the explosion suppression efficiency of the gas-powder two-phase explosion suppressant. The method can effectively evaluate the inhibition effects of different gas-powder two-phase explosion suppressants in gas and coal dust explosion.

The invention relates to the technical field of combustible gas detectors, in particular to a combustible gas detector with an underground Internet of Things function, which comprises a gas exchange seat, a mounting mechanism rotatably connected to the bottom of the gas exchange seat, a combustible gas detector main body fixedly mounted at the bottom of the gas exchange seat, and a fixing frame fixedly connected to the bottom of the gas exchange seat. A movable frame is arranged on the fixed frame in a sliding fit mode, a protective cover is rotatably connected to the interior of the movable frame, an automatic maintenance mechanism is rotatably connected to the movable seat, and in the using process of the combustible gas detector, dust on the surface of the gas sensor is cleaned and maintained regularly through the automatic maintenance mechanism; the dust on the surface of the gas sensor can be automatically cleaned by utilizing the brush frame which rotates and swings in a reciprocating manner, the sensor can accurately read the gas concentration, the possibility of false alarm and missing alarm is reduced, the manual cleaning frequency is reduced through an automatic maintenance mechanism, and the labor cost and the maintenance workload are reduced, so that the service life of the sensor is prolonged.

The invention discloses a method for measuring Joule-Thomson coefficients of hydrocarbon fuel and cracking products thereof. The method comprises the following steps: pumping a target substance into an experimental tube, and heating from room temperature to target temperature; monitoring the temperature of the target substance at the inlet and outlet of the experiment tube, the wall surface temperature distribution of the experiment tube, the system pressure at two ends of the experiment tube, and current and voltage applied to two ends of the experiment tube in real time; according to the parameters monitored in real time, a function H (T) of the constant-pressure enthalpy value of the target substance changing along with the temperature is obtained on line based on a calorimetric model; when cooling to room temperature, changing the pressure and continuing the steps to obtain H (T) under different pressures; and based on H (T) under different pressures, establishing a Joule-Thomson coefficient calculation model containing a pressure-temperature-constant pressure enthalpy value function relationship, and calculating the change condition of the Joule-Thomson coefficient of the target substance along with the temperature. The invention further discloses a corresponding measuring device. According to the method and the device, accurate measurement of the Joule-Thomson coefficient is realized.

The invention discloses a coal quality on-line detection system for a power plant, and belongs to the technical field of coal quality detection.The coal quality on-line detection system comprises a conveying belt used for conveying coal, a fixing frame is fixedly installed above a frame body of the conveying belt, a detector is fixedly installed on the fixing frame in a penetrating mode, and the detector and the conveying belt are correspondingly arranged up and down; the driving assembly is mounted on the upper surface of the fixing frame; the pressing assembly is arranged on the inner side of the fixing frame, and the pressing assembly is driven by the driving assembly to flatten the coal; the leveling assembly is movably mounted on the lower surface of the fixing frame; the cleaning assembly is arranged on the lower surface of the fixing frame, and the cleaning assembly is arranged on the outer side of the lower end of the detector. According to the coal quality online detection system for the power plant, conveyed coal can be automatically leveled in the detection process, the detection precision is prevented from being influenced by the detection height difference, the detector lens can be automatically cleaned in the detection process, and the detection precision is further improved.

The invention provides a coal gangue identification method and system based on thermal imaging and multivariate spectrum combination, and relates to the technical field of coal gangue qualitative and quantitative identification, and the method comprises the steps: obtaining the infrared radiation data of to-be-identified coal gangue and the spectral reflection data of a plurality of wavebands; preprocessing the infrared radiation data and the spectral reflection data; extracting edge morphological characteristics and temperature characteristics from the infrared radiation data, and extracting spectral reflectivity characteristics under different wavebands from the spectral reflection data; fusing the temperature features, the edge morphological features and the spectral features through multi-modal feature fusion; and inputting the fusion features into a coal gangue identification model to obtain a classification result of coal and gangue. According to the method, more comprehensive and accurate characteristics are constructed by utilizing the differences of the coal and the gangue in spectral characteristics and temperature distribution, the accuracy and the stability of identification are improved, and the accuracy and the reliability of coal and gangue identification are greatly improved by utilizing complementarity of multi-source information.

The utility model relates to an experimental device for low-temperature fuel atomization of an engine in a variable environment. The experimental device comprises a high-pressure common-rail injection system, a low-temperature refrigerating system, an electronic control system, an image data acquisition system and an environment test chamber. The low-temperature refrigerating system reduces the temperature of fuel oil in the oil injector through convective heat exchange; the environment test cabin simulates the environment air pressure, temperature and humidity in the cabin according to the actual environment parameters in the cylinder in the engine operation process; and the high-speed camera shooting technology is used for obtaining spray image information of the low-temperature fuel oil in a variable environment for further comprehensive analysis of fuel oil atomization characteristics. According to the utility model, a reliable experiment means is provided for researching the fuel oil atomization condition of the fuel oil in a low-temperature state in a low-temperature environment in the cold start process of the engine, deeply analyzing the influence of a complex environment on the cold start of the engine, and seeking to improve the cold start performance of the engine.

The invention relates to the technical field of pollution monitoring, in particular to a mine pollution state monitoring system which comprises a concentration sudden change recognition module, a disturbance frequency calculation module, a pollution area positioning module, a diffusion path judgment module and a monitoring result output module. According to the method, the time points with significant change differences in the concentration time sequence are identified and the mutation appearing position is calibrated, so that the pollution emergency state is accurately locked, and the time focusing of the disturbance behavior is completed by dividing the operation period and counting the concentration trend inversion frequency; in combination with the trend consistency of adjacent induction points, the mine pollution concentration area is subjected to spatial judgment, and the connectivity of pollution paths is determined based on the continuity of the trend direction, so that the pollution evolution process is dynamically reduced in two dimensions of time sequence and spatial distribution. A pollution source display position, a propagation link and an influence area are completely marked in a unified map, and the effects of clear mine pollution state positioning, traceable diffusion path and visual intervention decision are achieved.

The invention provides a gas-solid two-phase intelligent explosion suppression system for driving powder through high-pressure inert gas and a testing method thereof. The gas-solid two-phase intelligent explosion suppression system is used for simulating gas-dust composite explosion and evaluating the efficiency of an explosion suppressant. The system comprises a model roadway, a gas distribution subsystem, an ignition subsystem, a data acquisition subsystem, an explosion suppression device, a high-speed photography subsystem and a computer. The model roadway is horseshoe-arch-shaped and is sealed by transparent boronized silicon glass, so that the explosion process is convenient to observe. The explosion suppression device is composed of an inert gas storage cabinet and an inhibitor ejector, inert powder is driven to be ejected through high-pressure inert gas, and therefore explosion is effectively suppressed. The data acquisition subsystem acquires explosion parameters through a temperature sensor, a pressure sensor, a flame sensor and a concentration sensor, the high-speed photography subsystem records a flame flow field in real time, and whole-process monitoring and data analysis are achieved in combination with a computer. The system can evaluate the explosion suppression efficiency of the gas-solid two-phase explosion suppressant in a complex explosion environment, and has a wide application prospect.

The embodiment of the invention provides a gas concentration prediction method based on multi-source information fusion. The method is applied to the technical field of coal mining. Performing time sequence decomposition processing on the historical gas concentration data, performing correlation analysis on the historical gas concentration data and the coal mining machine operation data, and determining influence factor data related to gas concentration change; forming a multi-dimensional data sequence by the historical gas concentration data subjected to the time sequence decomposition processing and the multiple pieces of influence factor data; and inputting the multi-dimensional data sequence into a gas concentration prediction model, and analyzing and processing the multi-dimensional data sequence through the gas concentration prediction model to obtain a gas concentration prediction result, thereby improving the accuracy and reliability of the gas concentration prediction result and gas over-limit prediction.

The invention provides a coal rock impact tendency testing and evaluating method based on a dynamic strain gauge, which comprises the following steps: pretreating a coal rock structure standard test piece, performing a uniaxial compression test on the coal rock structure standard test piece, and acquiring a preset index test result of the coal rock structure standard test piece; constructing a model for evaluating the impact tendency of the coal rock structure based on a BP neural network algorithm; and taking the preset index test result as input, and obtaining the impact tendency grade of the to-be-tested coal rock structure test piece by using a BP neural network-based coal rock structure test piece impact tendency evaluation model. The invention further provides a coal rock impact tendency testing and evaluating system based on the dynamic strain gauge. According to the method, the accuracy and reliability of the impact tendency of the coal and rock mass are improved, the precision of the evaluation result is ensured, and the evaluation result of the impact tendency of the coal and rock mass is obtained more conveniently and efficiently.

The invention relates to a coal mine gas extraction drill hole gas leakage detecting and positioning device in the field of coal mine rock stratum drilling, through a front sliding cylinder provided with a first controllable air bag and a rear sliding cylinder provided with a second controllable air bag, and through cooperation with a magnet ring and an electromagnetic coil, a detection mechanism efficiently walks in an extraction drill hole, and the detection accuracy is improved. Walking detection in extraction drill holes with different inclination angles is facilitated; meanwhile, a first sound wave positioning sensor and a second sound wave positioning sensor are utilized, so that the detection mechanism quickly gets close to the leakage opening, the section-by-section detection mode of a traditional detection device on the extraction drill hole is replaced, and the detection efficiency is improved; besides, the leakage port is rapidly positioned through a first infrared distance sensor arranged opposite to the storage mechanism, the problem that the positioning precision is not high due to the fact that a traditional detection device uses the cable release amount to position the position of the leakage port is solved, and the positioning precision is improved.

The invention relates to the technical field of coal bed gas resource exploration, in particular to a coal rock methane adsorption quantity correction method based on a coal macromolecular model, which comprises the following steps: characterizing coal rock physicochemical properties; constructing a three-dimensional coal macromolecular model by utilizing molecular dynamics simulation, and verifying the coal macromolecular model; detecting the free space volume of the model by adopting a molecular probe method; performing a volumetric method coal rock methane adsorption test; determining the free space volume change under the series of test pressures through helium; and replacing the coal rock free space volume measured by helium with the coal rock free space volume measured based on a methane probe in molecular simulation so as to correct the methane adsorption isotherm. The method solves the problem that accurate determination and dynamic change of the free space volume are not considered in an existing volumetric method isothermal adsorption test.

The invention relates to the technical field of data processing, and provides a mine underground environment monitoring method and system based on sensor data analysis, and the method comprises the steps: arranging sensors at a plurality of underground monitoring points of a mine, and obtaining the gas concentration data of different monitoring points at a plurality of moments; obtaining a gas concentration abnormal factor of each monitoring point at each moment; acquiring gas concentration change correlation; according to the difference and distribution of the gas concentration abnormal factors of different monitoring point positions at the same moment, the size and corresponding time distribution of the gas concentration abnormal factors of each monitoring point position at different moments, and the gas concentration change correlation, the gas concentration abnormal degree of each monitoring point position at each moment is obtained; and monitoring and early warning are carried out on the underground gas concentration of the mine. The invention aims to solve the problem that gas concentration monitored by a single sensor is inaccurate due to gas diffusion in a mine.

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 coal mine hydraulics, in particular to a high-pressure water jet cutting coal breaking simulation system and method in different loaded states, and the system comprises a high-pressure pump set, a high-pressure pipeline, a cutting console, a nozzle, a simulation pressurization system and a coal cinder metering device; the simulation pressurization system is used for placing a test piece and loading pressure, and the coal slag metering device is arranged on one side of the cutting console or the simulation pressurization system and used for metering the slag production amount and the slag production speed in the slotting process; through a high-pressure pump set, a high-pressure pipeline, a cutting console, a nozzle and a simulation pressurization system, the real-time slag production amount and the slag production speed under different loading conditions, coal sample hardness, jet parameters and other factors are tested. According to the scheme, the real-time slag production amount and the slag production speed under different loading conditions, coal sample hardness, jet parameters and other factors can be tested, and a basis is provided for slotting jet parameter selection under different coal seam occurrence conditions.

The utility model relates to a full-automatic gelatinous layer index tester, which belongs to the field of testers, and comprises a detection box, the detection box is internally provided with a detection cavity and a placement cavity, the detection cavity and the placement cavity are separated by a partition plate, the detection box is internally provided with a detection assembly, the detection assembly is placed on the partition plate and located in the detection cavity, and the detection box is internally provided with a sliding plate. The sliding plate slides in the placement cavity, a control assembly is arranged in the detection box and is used for controlling sliding of the sliding plate, a coal cup is placed on the sliding plate, at least two groups of fixing assemblies are arranged on the sliding plate, and the fixing assemblies are used for fixing the coal cup on the sliding plate. After coal cup measurement is finished, the sliding plate slides through the control assembly, the coal cup after measurement is finished slides to one side to be cooled, the other coal cup slides to a proper position to be heated and measured, and the problem that natural cooling of the coal cup consumes labor hours is solved.

To provide a method for analyzing biochar suitable for efficiently analyzing the quality of the carbon. [Solution] A method for analyzing biochar using thermogravimetry, comprising the steps of heating a sample made of biochar to a first temperature zone of 900°C or higher in an atmosphere of a non-oxygen-containing gas, cooling the sample to a second temperature zone of 300°C or lower, heating the sample to a third temperature zone of 900°C or higher in an atmosphere of an oxygen-containing gas and combusting it, estimating the carbonization temperature of the sample based on the change in weight of the sample in the step of heating to the first temperature zone, and estimating the amount of carbon dioxide stored in the sample based on the change in weight of the sample in the step of heating to the third temperature zone and combusting it.

The invention provides a portable fire blast risk dynamic identification and danger tracing method and terminal, and the method comprises the steps: collecting positioning data in real time through a GNSS positioning module; a high-speed analog-to-digital conversion chip ADC is used for carrying out high-frequency and synchronous processing on the gas concentration collected in real time; collecting field environment parameters in real time; performing dynamic threshold intelligent judgment to obtain a leakage judgment result, and executing a grading early warning mechanism; recording an inspection track in real time, and carrying out space gas concentration gradient analysis to obtain a gas concentration gradient; calculating a built-in space distance; judging the leakage direction according to the gas concentration gradient data, and intelligently tracing the leakage source according to the leakage judgment result; and uploading the security data to the cloud. According to the invention, the limitation of static and single-threshold alarm of an instrument is solved, and the technical problems of difficulty in spatial continuous sensing and automatic tracing positioning of gas leakage abnormity in a complex inspection environment with dynamic changes of multi-component combustible gas and environmental parameters are solved.

The invention discloses a coal seam gas content determination method. The method comprises the following steps: collecting a coal sample and placing the coal sample in a coal sample closed desorption container for closed normal-pressure desorption; opening the corresponding branches based on the change of the gas flow; working condition flow data and corrected gas flow data in the standard state are determined based on the laminar flow sensors on the branches and measurement data of the environment temperature sensor and the environment pressure sensor, and then the loss amount is calculated; the coal sample crushing device crushes the coal sample, and the corresponding branch is opened again based on the change of the gas flow until the desorption work is stopped; based on measurement data of each sensor, the coal sample mass is calculated to finally determine the coal seam gas content. The parameters such as the temperature, the pressure and the pressure difference of fluid flowing through the laminar flow sensor are measured in real time, the flow in a standard state is obtained after calculation and correction, and the measured gas flow and volume data are more scientific and accurate through temperature and pressure compensation.

The invention belongs to the technical field of coal monitoring equipment, and particularly relates to a coal pile surface gas concentration monitoring device and a coal spontaneous combustion monitoring device.The coal pile surface gas concentration monitoring device comprises an angle adjusting mechanism fixedly arranged at the top end of the coal spontaneous combustion monitoring device; the fixed ends of the two telescopic rods are fixedly connected with the angle adjusting mechanism, and the angle adjusting mechanism is used for adjusting the angle between the second telescopic rod and the coal spontaneous combustion monitoring device; the rotating mechanism is fixedly connected with the telescopic end of the second telescopic rod; the plurality of monitoring mechanisms are arranged at the top end of the rotating mechanism, the plurality of monitoring mechanisms are arranged at equal intervals in the circumferential direction of the rotating mechanism, and after the plurality of monitoring mechanisms are opened towards the outer side of the rotating mechanism, the plurality of monitoring mechanisms cover the surface of the coal pile in a conical shape to monitor the gas concentration and temperature of the surface of the coal pile. The gas concentration and temperature on the surface of the coal pile and the temperature in the coal pile can be monitored, and the purpose of preventing spontaneous combustion of the coal pile is achieved.

An aircraft-based fuel quality monitoring and alerting system is disclosed herein. The aircraft-based fuel quality monitoring and alerting system can include a first sensor configured to output a signal associated with contamination of fuel entering an aircraft through a first fuel inlet. The system can further include a processor configured to determine a first contamination level of the fuel based on the signal and an alerting system configured to deliver an alert if the first contamination level is outside a predetermined range.

The invention discloses an atmospheric pollution source tracing system and method based on an unmanned aerial vehicle. The system comprises an airborne atmospheric monitoring module used for acquiring atmospheric data; the ground station system is used for monitoring whether the flight state of the unmanned aerial vehicle is normal or not, sending state information to the unmanned aerial vehicle control platform and receiving and storing atmosphere data; the airborne atmosphere monitoring module is loaded on the unmanned aerial vehicle, the unmanned aerial vehicle is controlled to fly through the unmanned aerial vehicle control platform, and the unmanned aerial vehicle control platform controls the unmanned aerial vehicle in real time according to state information; the data processing module is used for preprocessing the atmosphere data; and the traceability analysis module is used for carrying out pollution source traceability analysis according to the preprocessed atmosphere data to obtain the position of the pollution source. According to the invention, accurate pollution source positioning and pollutant diffusion simulation provide a scientific basis for the formulation and execution of environmental policies, and the air pollution can be more effectively controlled and reduced.

In one aspect, the present disclosure relates to a material analysis method which may comprise the steps of: (a) preparing a specimen for structure analysis; (b) training an artificial intelligence model with a training image labelled with a structure aspect of an arbitrary specimen; (c) analyzing a plurality of analysis images not labelled with a structure aspect of a specimen using the trained artificial intelligence model, and removing analysis images classified into preset noise structure aspects; and (d) analyzing, by using the trained artificial intelligence model, the analysis images from which the analysis images classified into the noise structure aspects have been removed, and classifying the analysis images into at least one target structure aspect.