348results about How to "Quantitative" patented technology

The invention provides an online and intelligent optical cable monitoring and fault positioning system based on a GIS platform. The online and intelligent optical cable monitoring and fault positioning system comprises a monitoring unit and a positioning unit, wherein the monitoring unit comprises an intelligent diagnosis mainframe, a diagnosis unit and a PC terminal display unit, the intelligent diagnosis mainframe comprises a central processing unit and an optical time domain reflectometer module, an optical path switching module and an optical power monitoring module connected with the central processing unit, the diagnosis unit comprises a power module and a light source device, an optical coupling module and an optical protection module connected with the power module, and the positioning unit comprises a fault locator arranged in an optical cable. Information is processed by calling optical cable information in time, and meanwhile the system can flexibly utilize a geographic information system (GIS) technology, adopts rack-type integration, and is high in integration level, good in stability and high in expandability. When breakdown occurs, the system can clearly display fault GPS points and fault types, maintainers can perform accurate positioning through a GIS map, and accordingly the maintenance efficiency is improved.

The invention discloses a kit and a method for detecting sST2 (soluble ST2) in blood of an abdominal aortic aneurysm and/or aortic dissection patient. According to the kit and the method, a pair of antibodies for identifying different epitopes of sST2 is assembled to obtain a double-antibody sandwich ELISA and immune colloidal gold test strip, so as to realize quantitive and qualitative detection of sST2. Tests prove that the ELISA kit and the immune colloidal gold test strip have relatively high specificity and sensitivity in an abdominal aortic aneurysm marker-sST2 protein of human, are simple to operate, can be utilized for detecting abdominal aortic aneurysm, aortic dissection and other diseases in scientific research and clinical application, and have the functions of auxiliary diagnosis, guide treatment and prognosis judgment.

The invention belongs to the field of engineering risk identification and provides a subway construction safety risk identification and evaluation system and a working method thereof. The system comprises a user interface module, a project newly-building module, a risk identification information base module, a risk base module, a risk evaluation knowledge base module, a matching algorithm module and a risk evaluation module. The method comprises the following steps of: firstly receiving information of a user newly-built project, reminding a user of selecting and determining risk identification information according to a project design file, combining with a risk base and a matching algorithm to generate a risk identification list, and identifying all potential safety risks of the project to be evaluated; and then performing risk evaluation, generating a risk evaluation list, utilizing a risk evaluation calculation model to perform risk evaluation calculation, and finally acquiring a subway project construction safety risk identification and evaluation result. The invention relates to a pre-evaluation technical scheme for realizing subway construction safety risk identification and evaluation based on the design file before construction.

The invention provides a method of quantitatively evaluating space-time evolution of porosity during a reservoir diagenesis evolutionary process. The method includes the following steps: (1) determining a diagenesis sequence and porosity change tendency of a reservoir, recognizing main diagenesis events that the reservoir experiences, and establishing a diagenesis evolutionary process; (2) simulating the diagenesis evolutionary process in several stages, and determining the diagenesis evolutionary process, diagenesis periods and diagenesis conditions; (3) performing diagenesis effect indoor tests in different diagenesis periods, and detecting fluid components, rock sample components and pore structures before and after the tests in the different diagenesis periods; (4) in complete correspondence with the tests, performing diagenesis effect numerical simulation in different diagenesis periods, and calibrating mineral dynamics computation parameters and specific surface area in the simulation; (5) extending the time of numerical simulation to actual diagenesis time of the reservoir and calibrating the model parameters again to establish a quantitative simulation system in which the porosity is evolved with time; and (6) simulating the evolutionary process of the reservoir in an area range, and establishing a quantitative simulation system that the porosity is evolved with space and time, thereby achieving quantitatively evaluating and prediction of the porosity with time in space.

The invention discloses a fire dynamic emergency decision system based on accident evolution and an implementation method thereof. The system includes an unmanned aerial vehicle (UAV) detection platform or a personal portable detection device, a data communication transmission device, an accident scene command vehicle information processing server, a command center server and an emergency decision-making command system platform for information exchange and decision analysis. In accordance with that characteristic of the accident scene, the technical requirements of disposal and the dynamic information parameters of the accident site, according to the real-time monitoring of fire temperature, heat radiation, ambient wind speed and gas concentration, and the predicted accident evolution rules and consequences, the dynamic emergency response plan elements are automatically matched from the dynamic emergency response plan elements database, and the dynamic emergency response plan is generated, and is output at each display terminal in a multi-layer plotting mode. Quantitative and graphical display of accident development trend and accident consequence is realized, which provides decision support for accident emergency disposal command.

The invention discloses a method for predicting martensite structure evolution in high-strength plastic product steel quenching. The method comprises the following steps: (1) establishing a two-dimensional cellular space; (2) generating parent phase initial structure grains; (3) giving an initial state of cells; (4) inputting a total temperature drop omega, a temperature drop increment delta omega and a cooling rate; (5) calculating martensite phase transformation thermodynamics, and determining a martensite phase transformation starting temperature; (6) judging the martensite nucleation condition of each cell; (7) judging the martensite phase growth of each cell according to the growth rule; (8) calculating a martensite transformation fraction and a residual austenite fraction; and (9) outputting a dynamic evolution diagram of structure morphologies of martensite, residual austenite and the like in the phase transformation process, and outputting a martensite transformation volume fraction curve. By adopting the method, prediction of the martensite structure evolution in the high-strength plastic product steel quenching can be realized, prediction of the structure morphologies and volume fractions of the martensite and the residual austenite can be realized, the experimental cost is saved, and the period of new steel development is shortened.

The invention discloses an indoor quantitative performance detection system for a radar emitting slave laser, comprising a laser radar, a total reflecting mirror, a first beam splitter, a second beamsplitter, an optical power detector, a transmission screen, a CCD camera, an optical receiver, a first distance gating switch, a multi-distance optical fiber delay component, a second distance gatingswitch, a program-controlled laser echo source, a program-controlled background optical noise source, a simulated aimed target, a precision electronically controlled positioning stage, a laser echo and background light characteristics database, a timing control and data acquisition module and a computer processing system. According to the indoor quantitative performance detection system for a radar emitting slave laser, the quantitative problem of indoor detecting laser radar ranging performance is effectively solved by introducing design schemes in which a echo target moves with the emissionoptical axis and the echo intensity changes with the laser emission power and the sunlight background in real time. At the same time, with the advantage of CCD image test, the test problems of laserradar emission field of view and optical axis pointing are solved. The invention can be applied to the detection of the laser radar emission field of view, the optical axis pointing and the ranging performance, and has the outstanding advantages of good quantification, simple operation, and no limitation on the site and the weather.

The invention discloses a mine filling material compression characteristic experiment device and an experiment method thereof. The experiment device is arranged on a pressure machine, and comprises a cavity for holding a filling material, wherein a bleeding structure is arranged at the bottom end of the cavity; the other end of the cavity is sealed through a slidable piston in the cavity; the bottom end of the cavity is arranged on a lower pressure-bearing plate of the pressure machine; a pressure-bearing column connected with the piston contacts an upper pressure-bearing plate of the pressure machine; an outer wall of the cavity is provided with a plurality of hoop strain foils at different axial positions in a pasting way; the hoop strain foils are connected with a statical strain indicator; a displacement sensor is also arranged between the upper pressure-bearing plate and the lower pressure-bearing plate of the pressure machine; the statical strain indicator and the displacement sensor are in signal connection with a computer connected with a pressure machine measuring system. The mine filling material compression characteristic experiment device provided by the invention can be used for monitoring compression amounts of the filling materials under different stresses and a strain level of an outer wall of a steel cylinder through the pressure machine measuring system, and is simple in structure, convenient to operate, and applicable to compression characteristic tests of dry filling bodies, water sand filling bodies, cemented filling bodies and other filling bodies.

The invention discloses a bamboo fiber, Coolmax fiber and conductive fiber blended yarn and a method for producing the same. The bamboo fiber, Coolmax fiber and conductive fiber blended yarn has functions and characters of the three types of fibers, has complementary advantages, and has unique nobility by being spun by siro-spinning technology. The functional yarn can be used for knitting and tatting. A fabric made of the bamboo fiber, Coolmax fiber and conductive fiber blended yarns has the functions and characters of high strength, fine shape retention, high breathability, high moisture absorption, high sweat releasing, antibiosis, dust proofing, electrostatic resistance, ultraviolet resistance, environment-friendliness, easiness in caring, resistance to washing, stable size, softness and smoothness in touch and the like, is especially suitable for being made into knitted sports underwear, underpants, T-shirts, sportswear, shirts, hats and the like, and contributes to clothing grade increase and improvement on people's life quality, and commercial opportunities are supplied to textile enterprises. Therefore, great social benefit and economic benefit are achieved.

The invention discloses a method for detecting illegal cooking oil, test paper and application of the test paper. According to the method, a lipopolysaccharide antibody and/or a fat-soluble protein antibody are/is taken as an antibody for detection. The method comprises the following steps of: preparing an antibody A and an antibody B by using a hybridoma cell strain gzcdc-ETX001; reacting fluorescein molecules with glucan molecules to obtain glucan molecules combined with fluorescein, reacting the glucan molecules combined with the fluorescein with the antibody B, and purifying to obtain a glucan-antibody B-fluorescein mixed marker; and reacting a sample to be tested with the antibody A, adding the glucan-antibody B-fluorescein mixed marker, continuing to react, and detecting by using a device for detecting fluorescence so as to judge whether the illegal cooking oil is contained in the sample to be tested. The glucan-antibody B-fluorescein mixed marker is enveloped by a bonding pad in the test paper for implementing the method; and a detection band on a chromatographic membrane is fixed with the antibody A, and a quality control band is fixed with an antiantibody which can be specifically combined with the glucan-fluorescein marked antibody B. The test paper is sensitive and easy to use.

The invention provides a method for detecting related substances of ibuprofen or its sodium salt and preparation. The related substances comprise impurities A, B, C, D, E and F. The method comprises (1) preparation of a test sample solution: taking an appropriate amount of ibuprofen or ibuprofen sodium raw materials, putting the materials into a certain volume of a container, dissolving the materials, diluting the solution until a desired volume marked by a scale, shaking the solution, and filtering the solution to obtain a certain concentration of the test sample solution, and (2) sample detection: pouring the test sample solution into a chromatographic instrument, and acquiring a chromatogram map of the related substances separated effectively under chromatographic conditions of use of a chromatographic column containing octadecyl silane chemically bonded silica as a filler having size of 250*4.6mm and pore sizes of 5 micrometers and having a column temperature of 20 to 40 DEG C, use of a mobile phase having a volume ratio of organic phase acetonitrile to a water phase phosphoric acid aqueous solution of 32% to 48% and phosphoric acid content of 0.01 to 0.1% in the phosphoric acid aqueous solution, a flowing rate of 1.0 to 2.3 ml/min, and a detection wavelength of 205 to 225nm. The method can realize effective separation of a variety of impurities.

The invention discloses a characteristic peptide combination and a method for detecting the adulterate ratio of powdered milk in goat milk powder. The characteristic peptide combination comprises milk characteristic peptides and goat milk characteristic peptides, wherein the amino acid sequence of the milk characteristic peptides is LSFNPTQLEEQCHI, and the amino acid sequence of the goat milk characteristic peptides is LAFNPTQLEGQCHV. Through the application of the characteristic peptide combination disclosed by the invention, the adulterate ratio of the powdered milk in the goat milk powder can be quantitatively detected by using a high performance liquid chromatography-mass spectrometry combined technology, the method is relatively high in linearity, sensitivity, recovery rate and accuracy rate, and characteristic peptide fragments in a protein are selected as detection substances and are applicable for detection of denatured protein, so that natured and denatured proteins in a detection sample can be detected simultaneously, and the accuracy of the method is guaranteed.

The invention discloses a refrigerant charging device which comprises a single-chip microcomputer (100), a plurality of paths of charging mechanisms (200) and a refrigerant pipeline (300). The charging mechanisms (200) are communicated with the refrigerant pipeline (300) and a charged evaporator (01). An electronic expansion valve (310), a first solenoid valve (320), a heat exchanger (330), a gas-liquid separator (340), a first pressure sensor (350), a second solenoid valve (360), a second pressure sensor (370), a first flowmeter (380) and a third solenoid valve (390) are arranged on the refrigerant pipeline (300). The charging mechanisms (200), the electronic expansion valve (310), the first solenoid valve (320), the heat exchanger (330), the first pressure sensor (350), the second solenoid valve (360), the second pressure sensor (370), the first flowmeter (380) and the third solenoid valve (390) are electrically connected with the single-chip microcomputer (100). The refrigerant charging device has multiple kinds of charging modes and is high in speed and precision, and energy saving and environmental protection are achieved.

The invention relates to a large-angle high-load-capacity turnover feeding device. The large-angle high-load-capacity turnover feeding device comprises a material barrel, a material barrel clamping frame, a crank, a crank bearing, a connecting rod bearing, a hopper, a hydraulic cylinder, a connecting rod, a sliding block, a sliding rail and a vehicle frame. By innovatively designing the structure of the feeding device and ingeniously combining all functional components with supporting components together, heavy-load and large-angle turning is achieved through a simple hydraulically-powered connecting rod and sliding block mechanism, the largest turning angle can reach 180 degrees, and the load capacity can be over three tons; in addition, the whole feeding device is compact in structure, small in size and high in portability.

The invention discloses a convenient rapid supporting loading and unloading mechanism and a supporting loading and unloading method. The supporting loading and unloading mechanism comprises a hydraulic oil cylinder, an oil cylinder piston rod and a steel supporting sleeve, wherein the hydraulic oil cylinder is provided with an oil inlet pipe orifice and an oil return pipe orifice, the hydraulic oil cylinder with a built-in distance sensor and a pressure sensor is fixed inside the steel supporting sleeve, and the oil inlet pipe orifice and the oil return pipe orifice of the hydraulic oil cylinder are installed at the outer side of the steel supporting sleeve. A movable control plate is connected with an industrial personal computer in a cabled way or a wireless way, when in supporting installation; and workers under the foundation pit can control the supporting loading and unloading mechanism to perform different actions and to display the supporting pressure and relevant information through the movable control plate. Therefore, a complete supporting loading and unloading mechanism system can be formed. The supporting loading and unloading mechanism can conveniently and rapidly realize the loading and the unloading construction of the steel support, has the advantages of high construction efficiency, time and labor conservation, safety and reliability, and can be conveniently installed on the present steel support.

The invention discloses a method for calibrating hydrocarbon generation dynamical model parameters by finite first-order parallel reaction and is applied to the technical field of evaluation of hydrocarbon resources. On the basis of a hydrocarbon generation dynamical theory, the method is used for describing a hydrocarbon generation process of an organic matter. By the method, kerogen oiling, kerogen gassing and oil gassing which are greatly different from one another and dynamical processes of different types of organic matters can be separately discussed effectively. Furthermore, by a modelcalibration math method, an optimization approximate solution is performed; therefore, defects of limited calibration precision improvement and relatively redundant calculation quantity which are caused by infinite first-order parallel reaction can be overcome; and calculation without a precise solution under an experimental condition is realized through approximate solution of dynamical parameters. By the method, the description of a complicated process of organic matter hydrocarbon generation and a quantitative and dynamic description for organic matter hydrocarbon generation characteristics are realized effectively.

The invention provides a shale reservoir microscopic wettability determination method and a device. The method comprises the following steps of smashing a shale core to acquire a core sample with the particle diameter being less than 30mu m; adding 10mg of core sample into a glass tube, adding 10ml of saline solution for mixing, and aging for 48h; after finishing aging, separating the saline solution from the glass tube, and keeping saline and a wet sample; adding 10ml of in-place oil into the glass tube containing the wet sample, and aging for 48h; adding the kept saline into the glass tube with oil and rock powder, stirring and mixing, and settling for 24h; extracting an upper layer of crude oil and oil wettability substances in the settled glass tube, utilizing an organic solvent to clean and dry, and acquiring an oil wetting substance; drying a water wettability rock kept in the glass tube, and acquiring a water-wet mineral; utilizing a scanning electron microscope and an XRD (X-Ray Diffraction) analytical test to confirm the components of the oil wetting substance and the water-wet mineral, and generating a determination result. The invention provides the shale reservoir microscopic wettability determination method with open type conditions, simplicity and practicability.

The invention provides a method for detecting fluorescent quantitative PCR of 12 pathogenic bacteria in real time at the same time, including the steps: collecting specific pathogenic gene or toxin gene of the target pathogen and using it as a target gene to design primers and probes so as to make the reaction conditions consistent; extracting a genome template of a sample to be detected; adding the template respectively into tubules equipped with different specific upstream and downstream primers and probes, and then adding the corresponding fluorescent quantitative PCR reagents; under the same cycle of fluorescent quantitative PCR, the corresponding primers and probes are used to detect the samples simultaneously, quickly and quantitatively in their respective reaction tubes. Easier, Quick and efficient, Twelve common pathogenic bacteria (Escherichia coli O157: H7, Listeria monocytogenes, Salmonella, Vibrio parahaemolyticus, Streptococcus betae, Yersinia enterocolitica, Streptococcusfaecalis, Shigella, Proteus mirabilis, Vibrio fluvialis, Campylobacter jejuni, Staphylococcus aureus) can be detected simultaneously in drinking water and food economically.

The present invention provides a method and device for identifying a scene in a wireless communication network. The method comprises: selecting and using multidimensional characteristic attributes for representing a cell, and preprocessing a value of the characteristic attributes of each dimension included in a characteristic value vector: establishing the characteristic value vector of the characteristic attributes, the characteristic value vector comprising the characteristic attributes of each dimension; initially distributing each cell to different temporary scene clusters; regarding one cell, adjusting the scene cluster to which the cell belongs based on a different degree between the characteristic value vector of the cell and the center of each temporary scene cluster; taking the adjusted scene cluster as a first type of scene clusters; based on the characteristic value vector of each cell in the first type of the scene clusters, calculating a distance between adjacent first type of scene clusters; and combing the first type of scene clusters with the distance meeting a combining threshold to form a second type of scene clusters. Through the technique, cells in the same second type of scene clusters can have high characteristic similarity, and cells in different scene clusters have quite different characteristics.

The invention discloses a character guided wave based butt-weld defect detection system and a detection method thereof. The detection system is composed of a character guided wave transceiving host, a character guided wave sensor and an upper computer; the character guided wave sensor is horizontally arranged on the upper end face of a detected welding line along the direction of the detected welding line, a signal input end and a signal output end of a sensor of the character guided wave transceiving host are respectively connected with the character guided wave sensor, a communication serial port is connected with the upper computer, and data processing analysis software and a database are installed on the upper computer. The detection method includes: adopting a ratio modal analysis method to separate modal wave packets, and selecting specific modals to have defects positioned according to a pulse-echo method; extracting energy information by the aid of a frequency diagram with smoothness being Wigner-Ville and evaluating sizes of the defects; extracting wave characters and inquiring the waveform comparison database to judge types of the defects. By the arrangement, in-service detection can be realized, and the system is high in detection efficiency, low in cost, portable, especially suitable for rapid and efficient detection for long-distance welding lines of large equipment structures and high in automation degree.

The invention discloses a method for improving longitudinal resolution of TOFD (time of flight diffraction) detection with a Burg algorithm based autoregressive spectrum extrapolation technology, and belongs to the technical field of ultrasonic non-destructive detection. The method adopts an ultrasonic detection system comprising a TOFD ultrasonic detection instrument, TOFD probes, a scanning device, software integrating TOFD conventional analysis functions and a computer. According to the method, TOFD scanning is performed on defects, collected time-domain aliasing signals containing upper-end and lower-end diffraction waves of the defects are subjected to autoregressive spectrum extrapolation processing; the -6dB frequency bandwidth is taken as the benchmark, defect signals in the frequency band range are selected, defect signals outside the frequency band range are estimated with the Burg algorithm, so that the frequency bandwidth is broadened, the longitudinal resolution of defect detection is improved, and the defect height quantification is realized. Compared with other methods for improving the longitudinal resolution of TOFD detection, the method does not have additional requirements for a hardware system, is not limited by exciting pulse time width of the detecting probes, and has higher engineering application value.

The invention discloses an optical fiber sensor combination for monitoring the corrosion of reinforced concrete. The optical fiber sensor combination comprises an optical fiber sensor and a compensation sensor, wherein the optical fiber sensor and the compensation sensor comprise reinforcing steel bar elements, reinforced fiber glass reinforced plastic support bases, optical fiber Bragg gratings and connecting optical fibers, protective sleeves, silicon sheets, reinforcing steel bar coating regions, reinforcing steel bar un-coating regions, and mortar housings, wherein the reinforcing steel bar elements of the optical fiber sensors are reinforcing steel bars to be tested, and the reinforcing steel bars of the compensation sensor are 316L stainless steel bars. According to the optical fiber sensor combination, a reaction force of mortar is counteracted to a certain extent, the local corrosion of the reinforcing steel bars is favorably monitored, and the sensitivity of monitoring is improved. The compensation sensor is made by adopting a manner of replacing common reinforcing steel bars by 316L stainless steel, and is simple in principle and convenient to operate. The optical fiber sensor combination is simple in structure, convenient to manufacture, low in cost, good in sensitivity, high in accuracy, strong in anti-electromagnetic interference, high in reliability, good in durability, and high in stability, and is suitable for monitoring the long-term durability of reinforcing steel concrete structures such as saline and alkaline land, seawater and deicing salt under multiple environments.

The invention provides an integrated method for producing organic selenium enriched rice. The integrated method is characterized by specifically comprising the following steps: selecting seeds; preparing a rice field; accurately sowing seeds; managing a land for growing field crops; and harvesting, transporting, storing and treating by-products. The production of the organic selenium enriched rice is finished through the steps. The integrated method has the beneficial effects that the content of selenium in the rice can be quantitatively controlled and the requirements of different consumer groups are met. The content of the selenium in the rice can determined to a certain specific value of 0.04-0.3mg/kg in national standards through adjusting the unit use amount of a selenium enriched slow release fertilizer according to the content of the selenium in soil, so that the selenium enriched rice with different selenium contents is developed, the requirements on different selenium supplementing amounts of special consumer groups, such as women, children, old people or patients are met, and the quantification and functionalization of selenium supplementation are realized.

The invention discloses a kit for measuring an antinuclear antibody (ANA) in serum and a preparation method thereof. The kit comprises an R1 reagent, an R2 reagent and a calibrator. The R1 reagent comprises a buffer solution, an electrolyte, a surfactant, a stabilizer, a reaction enhancer and a preservative. The R2 Reagent contains a buffer solution, an electrolyte, a surfactant, a stabilizer, a preservative and sensitized polystyrene latex particles coated with an ANA antigen. The calibrator contains a buffer solution, a surfactant, a stabilizer, a preservative and an antinuclear antibody. The kit utilizes Hep-2 cell homogenate extract and/or a combined purified antigen as a main antigen matrix, the main antigen matrix is bonded to surface of the latex particle, a serum specimen to be detected and a latex reagent are mixed in the buffer solution, and ANA in the specimen is bonded to the antigen on the latex particle surface so that adjacent latex particles are cross-linked to each other, solution turbidity of the measured solution close to a certain wavelength is increased, a increasing degree is associated with the ANA concentration of the specimen and ANA content of the specimenis calculated according to an absorbancy changing value.

The invention discloses a transformer winding deformation quantitative diagnosis method based on model correction. The method comprises the steps as follows: on the basis of detecting the deformation of a transformer winding by a frequency response analysis method, calculating the frequency response function of an equivalent circuit model of a normal transformer winding, and comparing the frequency response function with the frequency response data of a faulty transformer winding to determine the frequency response function deviation; constructing a frequency response function sensitivity matrix by an adjoint network method to describe the quantitative corresponding relationship between the frequency response function deviation and the equivalent circuit model parameter correction; selecting an appropriate frequency based on linear correlation to reconstruct a maximum linearly-independent sensitivity matrix; and determining the parameter correction when the frequency response function deviation reaches the minimum through iterative model parameter correction, and analyzing the winding deformation state and the diagnosis accuracy based on the parameter correction. By adopting the method of the invention, the position, degree and type of winding deformation can be judged accurately and quantitatively, and the diagnosis accuracy of transformer winding deformation can be effectively improved.

The present invention discloses a mobile surveillance car-based single particle volatile organic compound online mass spectrum detection system and method, the system includes a mobile surveillance car and a volatile organic compound online mass spectrometer, the interior of the mobile surveillance car is provided with a driving room, a workspace area, a functional area and an instrument area, and the volatile organic compound online mass spectrometer is a single-photon ionization flight time mass spectrometer, is placed in the functional area, and is used for qualitative and quantitative real-time online analysis of industrial source volatile organic compound emissions. The mobile surveillance car-based single particle volatile organic compound online mass spectrum detection system can detect the composition and concentration of industrial source volatile organic compounds, a sample can be directly and quickly detected without sample preprocessing, high throughput sample analysis can be achieved, pollutant source volatile organic compound emissions can be detected in crusing mode, and the emissions of the composition and concentration of the volatile organic compounds at higher time resolution over time can be characterized.