593results about "Fuel testing" patented technology

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 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.

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.

The invention relates to the technical field of coal quality detection, in particular to an online detection method and system for the quality of coal as fired. Comprising the following steps: a multi-modal data acquisition step: respectively acquiring a microwave scattering parameter and a surface element characteristic spectrogram through a microwave chromatography sensor array and a surface spectrum detector; a physical field inversion and modeling step: reconstructing a complex dielectric constant distribution diagram based on scattering parameters, and establishing a three-dimensional physical distribution model containing density and moisture; a field-spectrum coupling deduction step: taking the characteristic spectrogram as a boundary constraint, and deducing internal chemical element distribution in combination with the complex dielectric constant distribution diagram; volume weighted quantization: executing volume weighted integration for the three-dimensional physical model and the chemical distribution, and outputting comprehensive coal quality parameters; according to the method, the detection blind area of a single technology is eliminated, and the representativeness and the safety of coal as fired total cross-section detection are remarkably improved.

An apparatus for transporting an explosive or volatile material may include a vial configured to contain a sample of explosive dissolved in a solvent, and an airtight container which contains the vial. 0.1 mg of the explosive or volatile material may be dissolved in 0.1 ml of the solvent. The solvent may be an alcohol selected from water, methanol, ethanol, propanol, isopropanol, butanol, isobutanol, tert-butanol, acetone, methyl ethyl ketone, dimethyl sulfoxide ethylene glycol, propylene glycol, ethylene glycol monomethylether acetate or propylene glycol monomethylether acetate. A method for transporting an explosive may include providing the apparatus, dissolving 0.1 mg of the explosive in the solvent in the vial; sealing the vial in the airtight container; allowing of the explosive in the solvent in the vial to equilibrate with an atmosphere inside the airtight container; opening the airtight container; and measuring an amount of explosive using a Cavity Ring-down Spectrometer.

The invention provides a bituminous coal caking index full-process detection system based on a mechanical arm and a use method thereof, which can realize the operation of the whole bituminous coal caking index detection process from blanking weighing to crucible testing and then cleaning and recycling through the mechanical arm, and can liberate laboratory technicians from a tedious, monotonous and harmful working environment. And intelligent, unmanned, specialized, technical and standardized caking index detection and inspection service is realized. The system comprises a blanking weighing module used for placing quantitative samples into a crucible; the bonding pre-treatment and post-treatment module is used for treating samples before and after coking; the high-temperature furnace module is used for performing high-temperature coking treatment on the sample; the mechanical arm is used for clamping a crucible or a crucible holder and circulating among the blanking weighing module, the bonding pretreatment and aftertreatment module, the high-temperature furnace module, the bonding rotary drum tester module, the cooling module and the cleaning module.

A method for determining the quality of a liquid organic hydrogen carrier material comprises using the liquid organic hydrogen carrier material in an LOHC application system (1), measuring at least two physical properties of the liquid organic hydrogen carrier material in the LOHC application system (1), comparing the measured physical properties with characteristic values ​​for the liquid organic hydrogen carrier material at different degrees of hydrogenation and at different impurity product concentrations, and determining the degree of hydrogenation (h) and a first impurity product concentration (c) as quality parameters of the liquid organic hydrogen carrier material.

The invention relates to the technical field of ocean observation, in particular to a hydrate reservoir information in-situ monitoring device. Comprising a monitoring box body; a metal grating plate is arranged at the bottom of the monitoring box body, and hydrate reservoir sediments can enter the monitoring box body through grating holes in the metal grating plate; a dissolved oxygen sensor, a pH sensor, a Raman probe rod and a resistivity probe rod are sequentially arranged in the monitoring box body from top to bottom, and a water tank camera is arranged on the side wall of the monitoring box body; a plurality of annular electrodes are arranged on the resistivity feeler lever in the circumferential direction of the feeler lever at intervals, and each annular electrode is connected with an annular electrode distance adjusting mechanism and an annular electrode aperture adjusting mechanism. And in-situ monitoring of the hydrate reservoir can be realized.

The invention discloses a multi-point explosion hazard effect evaluation test method and a multi-point explosion hazard effect evaluation test system. The method comprises the following steps: uniformly distributing a plurality of explosion sources with prefabricated fragments on the same circumference and synchronously detonating; determining abdominal line distribution based on a shock wave superposition principle, and dividing a reference ring, an inner ring and an outer ring by taking an explosion central point O as a circle center according to a predicted overpressure peak value; and cake-shaped and penholder-type free field pressure sensors, impulse targets, simulation dummies, pine targets and speed measurement targets are systematically arranged on each ring layer along the abdominal line direction. By synchronously collecting multi-parameter data such as shock wave pressure-time history, fragment speed, target deformation, human body reflection overpressure and the like, quantitative analysis of shock wave superposition and attenuation characteristics, fragment power field distribution, human body damage risk and explosion impulse aftereffect is realized. The problem that the multipoint explosion hazard effect lacks a standardized test means is solved, and data support is provided for protection equipment research and development and safety standard formulation.

The utility model relates to the technical field of coal chemical industry, in particular to a device for simulating scaling stability in a coal-oil slurry transportation process. Comprising a coal-oil slurry stirring tank connected with a high-pressure hydrogen pipe, the coal-oil slurry stirring tank is connected with one end of a simulation conveying pipe through a feeding pipe, the other end of the simulation conveying pipe is connected with a coal-oil slurry buffer tank through a discharging pipe, the coal-oil slurry buffer tank is connected with the coal-oil slurry stirring tank through a circulating pipe, and a coal-oil slurry circulating pump is arranged on the circulating pipe; an oil-coal-slurry conveying pump is arranged on the feeding pipe, the feeding pipe is connected with a plurality of feeding branch pipes, each feeding branch pipe is provided with a branch pipe valve and a branch pipe flowmeter, the discharging pipe is connected with a plurality of discharging branch pipes, and the two ends of a plurality of simulation conveying pipes with different inner diameters are connected with the feeding pipe and the discharging pipe through the feeding branch pipes and the discharging branch pipes respectively. A plurality of pressure gauges are arranged on the simulation conveying pipe at intervals, and a heat tracing sleeve is arranged outside the simulation conveying pipe. The device is reasonable in structural arrangement, and is favorable for mastering the scaling risk of the coal-oil slurry in advance in the production process so as to carry out response treatment in time.

The invention belongs to the technical field of coal quality detection, and particularly relates to a method for rapidly predicting coal quality parameters based on Raman spectrum in combination with machine learning. According to the method, a Raman spectrum technology and machine learning are combined, a Raman spectrum systematic preprocessing process is adopted, an adaptive iteration reweighted least square method Air-PLS is applied, spectral signals and baseline drift are accurately separated, Savitzky-Golay filtering is applied, peak shape features are reserved, random noise is effectively suppressed, and the method is suitable for large-scale popularization and application. Maximum-minimum normalization or Z-score standardization processing is provided, and the intensity difference between samples is eliminated; moreover, a data-driven Raman spectrum intelligent feature screening mechanism is introduced, and an optimal feature wavelength subset which is highly related to coal quality parameters and low in redundancy is screened out through automatic iteration; according to the method, the data quality in Raman spectrum coal quality detection is improved, the feature correlation is enhanced while the feature dimension is reduced, the model precision and generalization ability are improved, and rapid, lossless, high-precision and high-robustness coal quality parameter prediction is realized.

The invention belongs to the technical field of oil and gas storage and transportation, and discloses a novel device and method for online measurement of gas sulfur content in a sulfur-containing gas field pipeline, and the device comprises a natural gas compressor, a gas tank (variable volume type or fixed volume type), a temperature control refrigeration system, a computer, a pressure sensor, a temperature sensor and a plurality of automatic valves. A natural gas sample in a pipeline is introduced into a gas box, the temperature and / or the volume of the natural gas sample are accurately adjusted under the control of a computer, pressure, temperature and volume data in two different states are obtained, the compression factor ratio of gas is calculated accordingly, and the hydrogen sulfide concentration is indirectly determined based on the preset mapping relation between the compression factor ratio and the hydrogen sulfide concentration. The method does not need an optical or electrochemical sensitive element, avoids the interference of field dust and moisture, has the advantages of simple structure, high reliability and low maintenance cost, and is suitable for long-term stable online monitoring of the sulfur-containing natural gas pipeline.

The invention relates to the technical field of intelligent testing equipment, in particular to coke property intelligent testing equipment which comprises a dust removal fan, two high-temperature furnaces, a feeding temporary storage station, a particle temporary storage table, a multi-axis robot and a rotary drum mounting frame. Through the multi-axis robot integrating the double clamping jaws, the integrated operation of tool transferring and particle grabbing is achieved, material transferring in the whole link from feeding, pretreatment to testing can be completed without manual contact with samples, sample pollution, particle damage and operation deviation caused by manual sorting, weighing and transferring are effectively avoided, and the working efficiency is improved. Meanwhile, the labor cost is greatly reduced, and the stability and repeatability of the testing process are improved; by means of an information interaction structure of the feeding tool and the read-write device, a unique identity label is established for each coke sample, full-life-cycle information of the samples from feeding, preprocessing to final test data can be recorded in an associated mode in the whole process, and the problems that omission is prone to occurring and tracing is difficult in traditional manual recording are solved.

The invention discloses a natural gas hydrate reservoir in-situ fluid sampling device and method, and relates to the technical field of natural gas exploitation. The pumping module is used as a driving device for pumping formation fluid; the double-packer module comprises an upper packer and a lower packer, a sealed test interval is formed between the upper packer and the lower packer, and a pipeline connected with the pumping module penetrates through the upper packer to reach the test interval and is connected with a probe; the probe is used for penetrating out of a test interval to extract formation fluid; a lower packer, an upper packer and a pumping module are sequentially arranged from bottom to top from the bottom of the well; the in-situ fluid identification and sampling module comprises a PVT sampling barrel and a resistivity sensor; and the PVT sampling barrel and the resistivity sensor are connected to the pipeline between the upper packer and the pumping module and penetrate through the wall of the pipeline so as to measure the formation fluid extracted from the pipeline. The in-situ fluid under the original condition can be collected.

A component having a bus termination. A component (3, 4, 7-9, 13, 27) for a combustion appliance, such as an appliance having a boiler, the component (3, 4, 7-9, 13, 27) comprising an outer surface and a tangible electrical interface (30, 32, 35, 36) configured to be electrically connected by a user such that the tangible electrical interface (30, 32, 35, 36) is in a short circuit condition, the tangible electrical interface (30, 32, 35, 36) is electrically disconnected by the user such that the tangible electrical interface (30, 32, 35, 36) is in an open condition; wherein the tangible electrical interface (30, 32, 35, 36) is arranged on an outer surface of the component (3, 4, 7-9, 13, 27) such that the tangible electrical interface (30, 32, 35, 36) is accessible to the user; the components (3, 4, 7-9, 13, 27) comprise a first and a second bus wire.

The utility model relates to the technical field of gas extraction, and discloses a gas extraction pipeline multi-parameter detection instrument which comprises a fixing pipe, a mounting seat is fixedly mounted at the top of the fixing pipe, a connecting hole is formed in the mounting seat, a detector is arranged above the mounting seat, a connecting seat is arranged at the bottom of the detector, and a detection probe is arranged at the bottom of the connecting seat. The outer side of the detection probe is fixedly sleeved with a sealing sleeve, and the sealing sleeve is matched with the connecting hole; and a clamping box is fixedly mounted at the top of the mounting base, the clamping box is located on the rear side of the connecting hole, a bidirectional mechanism and a fixing mechanism are arranged on the clamping box, and two grooves are formed in the mounting base. Compared with the prior art, the gas detection device has the following advantages and effects: by arranging the sealing mechanism, the purposes of greatly enhancing the sealing performance between the detection probe and the connecting hole, effectively preventing gas leakage, ensuring the stability of a detection environment and improving the reliability of a detection result can be achieved.

The invention discloses an inclination-angle-adjustable physical similar simulation experiment device which comprises an experiment platform base, the experiment platform base is fixedly connected with a rotating support, a frame is arranged above the rotating support, the rotating support is rotationally connected with the lower end of the frame, the experiment platform base is rotationally connected with an inclination angle adjusting oil cylinder, and the inclination angle adjusting oil cylinder is connected with an inclination angle adjusting oil cylinder. The output end of the inclination angle adjusting oil cylinder is rotationally connected with the end, away from the rotating support, of the frame. Stand columns are fixedly arranged at the two ends of the experiment platform base in the length direction and located on the two sides of the frame respectively, two baffle sets are arranged between the two stand columns and located on the two sides of the stand columns in the width direction respectively, each baffle set comprises a plurality of baffles abutting against the frame, and the two ends of each baffle are detachably connected with the two stand columns respectively. According to the application, when the simulated coal seam has an inclination angle, a rock stratum structure gliding phenomenon does not exist, vertical pressure application can be maintained, and the accuracy and reliability of experimental data of the experimental device are improved.

This invention provides a device and method for measuring the gas hydrate content. The device includes a sample container, a calibration container, a vacuum pump, a cooling device, a temperature sensor, and a vacuum gauge. The sample container, calibration container, and vacuum pump are connected to the same connecting pipe via different valves. The sample container, calibration container, and connecting pipe form a closed system. The temperature sensor and vacuum gauge are used to detect the temperature and pressure of the gas within the connecting pipe, respectively. The cooling device is used to regulate the temperature inside the sample container. Compared with existing technologies, this measuring device has a simple structure, low manufacturing cost, and is easy to promote. When using this device to measure gas hydrates, the operation process is simple, and the measurement results are not easily affected by the environment and experimental operations. It is suitable not only for on-site measurement of natural gas hydrates in exploration and extraction, and for measuring the gas hydrate content in sediment samples obtained from drilling, but also for measuring the gas hydrate content in laboratory synthetic gas hydrates.

The invention discloses a method for rapidly judging the sensitization effect of an on-site mixed emulsion explosive. The method comprises the following steps: S1, a laboratory calibration stage: simulating an on-site sensitization process to prepare a calibrated explosive sample; the sampling device collects and calibrates explosive samples, the millimeter graduated scale is arranged above the sampling device, and the camera shoots and counts the number of bubbles; detecting the density and the detonation velocity, and establishing an incidence relation of bubble number-density-detonation velocity in the specified millimeter scale and a qualified range; s2, an on-site detection stage: calibrating a millimeter graduated scale, camera equipment and a sampling device which are consistent in specification in a laboratory; the sampling device collects an on-site explosive sample, the graduated scale is arranged above the sampling device, the camera shoots and counts the number of bubbles, and the sensitization quality is judged by comparing with a laboratory calibration association relationship. According to the invention, the problems of long detection period of a traditional laboratory, strong subjectivity of existing field detection and high requirement on professional level of detection personnel can be solved, and real-time, accurate and low-cost detection of field sensitization quality is realized.

In one embodiment, a method for producing coke that includes mixing at least a first and a second carbonaceous material into a single feedstock of carbonaceous material. The coking feasibility of the single feedstock of carbonaceous material is then determined. The single feedstock is customized into a predetermined material composition, and then the customized single feedstock is pyrolyzed to produce coke material and coke by-products. Other embodiments are also disclosed.

The invention relates to a system and a method for simulating water explosion of molten aluminum in aluminum processing deep well casting, and the system comprises a high-frequency smelting furnace; the experiment table frame comprises a mounting table top and a mounting frame; a funnel is mounted on the mounting table board; a plug is plugged in the second open end; a pulley is arranged on the mounting frame, a lead is wound on the pulley, and one end of the lead is connected with the plug, so that the plug is pulled out when the lead is pulled; the transfer container is used for containing molten aluminum and then transferring the molten aluminum to the funnel; the experiment container is positioned below the funnel and is used for containing water; the top of the experiment container is open, and a simulation assembly is arranged in the experiment container; the simulation assembly comprises a vertical rod and an iron cap, one end of the vertical rod is connected to the bottom of the experiment container, and the other end of the vertical rod is connected with the iron cap to suspend the iron cap. The system can truly reduce the production environment of aluminum processing deep well casting, can remotely start the test, guarantees the personnel evacuation time, and improves the safety.

The invention relates to the technical field of material detection equipment, in particular to a gas hole sealing material comparison detection device and method.The gas hole sealing material comparison detection device comprises a base, a center shaft, a sleeve, a placement frame, a test tube and the like, the center shaft is vertically and fixedly connected to the center of the base, the sleeve is slidably connected to the center shaft through a spline, and the sleeve is radially connected with the placement frame; the test tube can be fixed in the placing rack in a clamping manner, the test device further comprises a main bearing sliding block, temperature sensing probes, pressure tubes and a digital display meter, a vertical convex key is arranged on the sleeve, the main bearing sliding block is connected to the sleeve in a sliding manner through the convex key, the temperature sensing probes and the pressure tubes are arranged on the side surface of the main bearing sliding block at intervals, and the pressure tubes are provided with the digital display meter. The temperature sensing probe is in butt joint with the test tube by rotating the assembly sliding block, the temperature sensing probe monitors the temperature change of the hole sealing material in the forming period in real time, the test tube is immersed into the water storage bin after the hole sealing material is formed, and the sealing performance of the hole sealing material in the test tube with radial cracks can be detected.

According to the unitary / binary combustion and explosion characteristic discrimination method and system for the urban combustible gas, gas concentration information and real-time environment parameters which can be monitored on site are utilized, a steam combustion and explosion characteristic test data set of the combustible gas is constructed through a combustion and explosion characteristic test, and a combustion and explosion characteristic prediction model is established based on the data set; rapid, accurate and comprehensive prediction of the combustion and explosion characteristics of the steam mixed gas of the combustible gas is realized, the combustion and explosion risk is calculated according to the combustion and explosion characteristics, and intelligent risk early warning is realized. According to the method, through a one-time integration method based on reinforcement learning, the distribution weights of multiple base learners in the machine learner group and the deep learner group are adaptively optimized, so that the prediction precision of the two types of learner groups is optimized. Through a quadratic integration method based on a multi-modal attention mechanism, original input features, model uncertainty, model historical performance and other aspects are fused, weights are further allocated to the two types of learning device groups, and respective advantages of the two types of learning device groups are fused to realize prediction result optimization.

The invention discloses a method for analyzing the dynamic evolution process of a methane leakage nano-channel in cold spring hydrate, and belongs to the field of natural gas hydrate science and engineering. The method comprises the following steps: constructing a hydrate molecular model and selecting a methane and water molecule force field; a hydrate block and a middle gas channel are arranged in the simulation box, and the gas channel is filled with a methane and water mixture to construct an initial simulation system; performing molecular dynamics simulation on the system under the conditions of energy minimization, pre-balance and different pressures and methane accelerations, and remodeling a gas channel dynamic evolution process in a hydrate growth process; carrying out analysis and three-dimensional rendering on the simulated track, and drawing a three-dimensional morphology graph of the gas channel changing along with time; quantitatively extracting surface area data of the gas channel, and calculating key kinetic parameters, including attenuation rate and half-life period, of the evolution process of the gas channel. According to the invention, the quantitative characterization of the dynamic evolution process of the methane leakage nano-channel in the cold spring environment is systematically realized on the molecular scale for the first time, and the contraction closing behavior of the gas channel under the condition of no methane leakage and the dynamic maintaining or adjusting process of the gas channel under the condition of continuous seepage can be accurately simulated and distinguished; the limitation of a traditional static pore model is overcome, and key basic parameters and method support are provided for revealing the interaction mechanism of methane migration and hydrate growth and constructing a cross-scale seepage model.

A kind of block discrete element-finite element combined modeling gas enrichment zone intelligent identification method, collects the stratum geological data and mine production data of abandoned mining area;Obtain stratum mechanical parameters and gas occurrence parameters;Establish a three-dimensional mine geological model in block discrete element UDEC;Carry out excavation, balance simulation of stoping section, and extract the stope fracture image after excavation;The stope fracture image is imported into image recognition software Coreldraw, and the coordinates of each stope fracture are obtained;A space grid model is established in MATLAB, and the permeability is given by using the relationship between the coordinates of the stope fracture and the space grid;The obtained permeability is imported into finite element software COMSOL in the form of interpolation method for gas flow simulation, and the gas emission and enrichment area are comprehensively determined. This method can accurately determine the enrichment area of underground gas in abandoned stope, and can provide scientific guidance for the layout of ground gas extraction well.

A method for measuring the deep peak regulation load of a coal-fired boiler in an electric power auxiliary service market comprises the steps that preparation before testing is conducted, specifically, the quality of coal entering the boiler is selected, and all devices in a boiler system are verified; coal with the selected coal quality is put into the boiler to be combusted, and when the boiler load reaches or exceeds the soot blowing threshold value, soot blowing is conducted on the heating surface of the boiler comprehensively; after soot blowing is finished and a preset stable combustion condition is met, the boiler load is gradually reduced according to a preset rule; in the process of reducing the boiler load, monitoring each parameter of each device, and when each parameter exceeds a corresponding safety limit value, determining whether the abnormity is recoverable or not and determining the abnormity type; and for recoverable anomalies, the boiler load is gradually increased according to the type of the anomalies until the parameters are kept stable under the current boiler load for a preset time length, and the current boiler load reaching the preset time length serves as the deep peak regulation load lower limit. The power dispatching accuracy and the operation efficiency of the peak regulation market can be improved, and a reliable basis is provided for dispatching decision making.

A method for accurately and efficiently desodium of high-sodium coal, comprising the following steps: detecting the moisture M of the high-sodium raw coal to be treated t , calculating the total sodium content M of the wet basis coal sample Na , converting the total sodium content M of the dry basis coal sample Na , determining the Na2O content in the ash of the high-sodium raw coal to be treated; selecting the key factors affecting the desodium rate; establishing the relationship model between the key factors and the actual desodium rate; according to the Na2O content in the ash and the requirements of the standard, the desodium rate of the high-sodium raw coal to be treated is converted, and the Re target value is obtained; the Re target value is brought into the relationship model, and the selection and value of the key factors of the high-sodium raw coal to be treated during desodium treatment are obtained respectively, and finally the actual leaching desodium of the high-sodium raw coal to be treated is carried out to obtain low-sodium coal meeting the requirements. The method can accurately desodium, reduce cost, energy consumption and corrosion and pollution generated in the production process, and has important significance for guiding large-scale application of high-sodium coal desodium.

To provide a gas detector that can easily detect mixed gases with high accuracy, and that can calibrate the gas sensor without using actual gas. [Solution] The system is configured to include a sensitivity setting unit 121 that sets the sensor sensitivity of the gas sensor 110 for a gas to be measured, selected from among multiple types of mixed gases in which the first to nth gas components (where n is an integer of 2 or more) are mixed in different proportions, based on composition data relating to the gas to be measured and sensitivity data relating to the sensor sensitivity of the gas sensor 110 for each of the first to nth gas components, and a calibration curve data acquisition unit 122 that acquires calibration curve data for the gas to be measured based on composition data relating to the gas to be measured and reference calibration curve data for each of the first to nth gas components.

A method and a measuring device for determining the mixing proportions when mixing (4) gases are specified, in which physical properties (PP1, PP2, PPmix) are measured in the mixed gas (Gmix) and, if necessary, in the supplied gases (G1, G2), wherein the physical properties are measured with at least two sensors (3, 3.1, 3.2), and the mixing proportions of the supplied gases in the mixed gas are determined from the values ​​of the measured physical properties.