136results about How to "Improve representation" patented technology

The invention discloses a high-precision coordinate calculation method based on Matlab, and belongs to the field of coordinate calculation technology and data processing, and the method comprises the steps: firstly, obtaining the combination of all points and vectors through a specific combination generation function, and then initializing a result vector; aiming at each combination, calculating intersection point coordinates and parameters by virtue of an accurate geometric intersection point calculation function, storing the intersection point coordinates and parameters in a result vector, and distributing the intersection point coordinates and parameters to a working area according to a rule by virtue of a working area assignment function; then, a midpoint coordinate matrix is obtained by applying a midpoint calculation function based on the coordinates of the intersection points, the distance between the points is calculated, a clustering center is determined by adopting a clustering algorithm, points of an intersection point concentrated area are screened out according to distance characteristics in a cluster, and finally, high-precision coordinates are calculated through a weighted average calculation function in combination with priori knowledge and weights. According to the method, the coordinate calculation precision can be effectively improved, good noise immunity is achieved, priori knowledge can be fully fused, and the method is suitable for numerous fields with high coordinate precision requirements.

The utility model provides a kind of monitoring system of photolithography machine internal environment, comprising: photolithography machine;Air circulation air outlet located in the photolithography machine inside;Particle detection device located at the air circulation air outlet, for real-time monitoring the particle contaminant inside the photolithography machine and generating detection data;Data sending module is electrically connected with the particle detection device, for accepting the detection data and real-time transmission to external monitoring equipment;Real-time monitoring and data real-time transmission to photolithography machine internal environment particle contaminant are realized.This enables operator to promptly understand photolithography machine internal air quality condition, provides strong guarantee for the stable performance of photolithography process, improves the automation level and operating efficiency of entire photolithography machine.

The application belongs to the field of coating detection, and specifically discloses a detection equipment for coating production, which comprises a sampling mechanism, wherein the sampling mechanism is connected with a base, a stirring tank is installed at the upper end of the base, the stirring tank is communicated with the sampling mechanism, the sampling mechanism comprises a stepping motor, the stepping motor is connected with a glass frame, a spectrometer is installed at one end of the glass frame, the output end of the stepping motor is in transmission connection with a lead screw, the lead screw is in threaded connection with a sliding rod, the sliding rod is in sliding connection with the glass frame at both ends, the sliding rod is connected with three sample cups which are arranged at equal intervals at the top of the sliding rod, and the sliding rod is in contact with a quantitative control mechanism. The stepping motor is used for driving the sliding rod to translate and trigger the quantitative control mechanism, the multi-angle test pieces arranged in an interlaced mode are combined with the spectrometer, the full-process automatic detection from layered sampling, sedimentation observation to coating optical performance analysis is realized, and the problems of sample cross contamination and low detection efficiency in the prior art are solved.

The application discloses a kind of tangential frost heaving force test methods of cold region pile foundation, belong to cold region pile foundation frost heaving prevention and control technical field, the test method of the application is in the top of test pile Design load is applied and is kept, and in the time point when freezing depth and frost heaving reach maximum, obtain annual maximum unit tangential frost heaving force, by the determination of dangerous section, obtain the maximum tangential frost heaving force that pile body bears, namely the most unfavorable load state that pile foundation faces in a year, can be directly used as the key design control value of pile foundation security guarantee, fundamentally avoid the problem of data randomness and insufficient representation caused by improper test timing, so that key design parameter originates from real annual most unfavorable working condition, provide more scientific and reliable basis for subsequent frost heaving prevention and control and stability checking.

The application discloses a transformer for extra-high voltage direct current transmission engineering and relates to the technical field of transformers, in particular to a transformer for extra-high voltage direct current transmission engineering. The transformer comprises a transformer body, an oil tank arranged in the transformer body, a drain valve pipe communicated with the oil tank and mounted on one side of the transformer body, a main flow guide pipe connected with one end of the drain valve pipe, and a drain valve component and a sampling mechanism arranged at two ends of the main flow guide pipe. The transformer for extra-high voltage direct current transmission engineering is provided with the sampling mechanism. When sampling, the sampling pipe body is automatically moved up to the main flow guide pipe in an arc-shaped notch opened by itself and covered by a composite sealing ring under the transmission of the lifting transmission assembly, and then the clean oil sample in the main flow guide pipe enters the inside of the sampling pipe body along the cylinder wall of the sampling pipe body in a wall layer flow, so that air is avoided from being sucked by free jet flow. In the oil inlet process, the oil pressure pushes the piston rod in the buffer assembly to move down synchronously, and the gas in the sampling pipe body is discharged through the associated second electromagnetic valve pipe, so that the detection requirement of low-bubble sampling is met.

The utility model discloses a kind of spiral samplers for sampling in steeping pit, including spiral sampler and installation platform, sampling port, screw mechanism, water level sensor and sample storage mechanism are equipped on the spiral sampler, sealing mechanism is equipped on the sampling port, the bottom end of the installation platform is provided with sliding slot, sliding rail is equipped on the sliding slot, electric sliding block is equipped on the sliding rail, the bottom end of the electric sliding block is equipped with adjusting plate, lifting mechanism is equipped between the adjusting plate and the top end of the spiral sampler, installation plate is equipped on the spiral sampler, locking mechanism is equipped between the installation plate and the adjusting plate, the locking mechanism includes lifting iron cylinder and lifting column, the structure is moved from specified position, adjusts sampling depth, executes sampling task to lastly take out sample, the whole process realizes automation control, not only significantly improve work efficiency, also reduce the error possibly brought by human operation, improve the accuracy and consistency of sampling.

This invention relates to the field of coal quality testing technology, specifically to an online method and system for detecting coal quality entering the furnace; it includes: a multimodal data acquisition step: acquiring microwave scattering parameters and surface element characteristic spectra using a microwave tomography sensor array and a surface spectrometer, respectively; a physical field inversion and modeling step: reconstructing the complex permittivity distribution map based on the scattering parameters to establish a three-dimensional physical distribution model including density and moisture; a field-spectrum coupling deduction step: using the characteristic spectra as boundary constraints, and combining them with the complex permittivity distribution map to deduce the internal chemical element distribution; and a volume-weighted quantization step: performing volume-weighted integration on the three-dimensional physical model and chemical distribution to output comprehensive coal quality parameters; this invention eliminates the detection blind spots of single technologies and significantly improves the representativeness and safety of full-section detection of coal entering the furnace.

The utility model discloses online sampling and detecting equipment for water pollutants, relates to the technical field of water pollutant detection, solves the technical problem that sampling, detecting and washing cannot be automatically and repeatedly carried out in the existing technical scheme, and comprises a main vehicle body, a mounting frame is fixedly mounted on the upper wall surface of the vehicle body, and a detecting pipe is fixedly mounted on the mounting frame; the detection pipe is a vertical pipe, a detection laser transmitter is arranged at the upper end in the detection pipe, and a detection laser receiver is fixedly mounted at the lower end of the detection pipe. According to the utility model, the unique control valve is matched with a sampling and flushing structure, so that the automatic switching of water samples and the automatic flushing of the detection pipe can be realized; water sample residues and cross contamination are effectively avoided, and the accuracy and representativeness of detection data are greatly improved; the device integrates a controller and a touch screen, operation can be completed conveniently in a touch mode, multiple sampling detection modes are supported, manual guarding is not needed, and the device is suitable for long-time unmanned online monitoring in various water environments.

The utility model discloses a handheld soil sampling device for environmental monitoring belongs to soil sampling technical field, including pressing plate, the middle part of pressing plate upper surface is equipped with guide slot, the inside slide coupling of guide slot is equipped with limiting component, and the upper surface of pressing plate is fixedly connected with the positioning ring in the periphery of guide slot, through being equipped with limiting component, can fix the position that inner rod extends downward to with fixed peg, to control the position of limiting plate in the inside of sampling cylinder, thereby limiting the depth of sample that can take, guarantee the consistency of each sampling depth, reduce sampling error, promote the representativeness of sample and the accuracy of subsequent analysis result, and simultaneously, can push the sample collected from sampling cylinder downward through limiting plate, and the quick taking out of sample is convenient, to promote the operation convenience and work efficiency, through being equipped with fixed component, make the outer tube can slide to the inside of sampling cylinder after the lateral movement of force plate.

The present application relates to the technical field of hydraulic engineering and river dynamics, and discloses a bed sand gradation file splicing method and device, an electronic device and a storage medium, the method comprising: determining a region to be studied, dividing the region to be studied into a plurality of grids, and layering the grids according to a preset step size downward along the ground surface to obtain a plurality of regional nodes; acquiring bed sand gradation data collected at different depths in different geomorphic regions in the region to be studied; mixing the bed sand gradation data of different depths in different geomorphic regions according to the preset step size to obtain bed sand gradation data of different layers in different geomorphic regions; and matching bed sand gradation data for each regional node according to the type of the geomorphic region corresponding to each regional node and the layer in which each regional node is located to obtain a bed sand gradation file for the region to be studied. The present application splices bed sand gradation files of different geomorphic types, thereby quickly generating a complete bed sand gradation file suitable for a two-dimensional water and sediment model.

The utility model discloses a coal slurry sampling device based on a coal transportation pipeline, and relates to the technical field of coal detection, both sides of a cover plate are provided with mounting ports in a penetrating manner, both inner walls of both sides of each mounting port are provided with sliding chutes, both upper ends of both sides of a connecting pipe are provided with connecting grooves, and the inner walls of the opposite sides of the connecting grooves are provided with clamping grooves; the connecting device has the advantages that the stepping motor and the connecting rope are arranged to control the pull rod to move in the mounting opening, so that connection between the clamping block and the clamping groove is controlled, convenient and fast connection and disassembly of the cover plate and the connecting pipe are achieved, operation is simple and efficient, the practicability is high, and the connecting device is suitable for popularization and application. The device is simple in structure and convenient to use, saves time and manpower, can be quickly used without a tool, and can be matched with the electric telescopic rod and the cable on the two sides to drive the sampler, so that the sampler can move in the conveying pipe, coal samples can be collected from different positions, the representativeness of the coal samples is improved, and then the accuracy of coal quality detection is improved.

The utility model relates to the technical field of geological sample sampling devices, and discloses a geological stratified sampling device for geological mining, which comprises a movable base provided with a central hole, and a limiting ring rotatably connected in the central hole; the sampling barrel selectively penetrates through the central hole; the telescopic sleeves are sequentially connected in a sliding mode from the outer side to the inner side in the vertical direction, the telescopic sleeve on the outermost side is connected with the inner side wall of the limiting ring in a sliding mode, the inner side wall of the telescopic sleeve on the innermost side is connected with the sampling barrel in a sliding mode, and the sampling barrel can drive the telescopic sleeve on the innermost side to synchronously move downwards. And then the multiple sections of telescopic sleeves from the inner side to the outer side are driven to be sequentially embedded in the drill hole. The sampling barrel can drive the telescopic sleeve on the innermost side to synchronously move downwards, then the multiple sections of telescopic sleeves are driven to be sequentially embedded in a drill hole, collapse of the drill hole is avoided, and layered multi-time sampling of stratums with different depths is achieved.

The application discloses a kind of new material foam detection tooling of yellowing resistance, it is related to new material detection technical field, including workbench, the workbench is fixed with positioning seat, and positioning seat is opened with recess for foam positioning, the workbench upper end surface is fixed with backplate, the backplate is opened with recessed guide groove in middle position, the guide groove below is provided with the guide rail fixed on backplate.The new material foam detection tooling of yellowing resistance, by switching structure, two sealed boxes integrated with ultraviolet lamp assembly and color difference instrument assembly are driven by single cylinder respectively, so that it can be sealed with the same positioning seat on sample in turn, so as to integrate traditional separate aging and detection process in one equipment, automatically switch working mode by pneumatic control, completely eliminate sample transfer link, avoid positioning error and human interference caused by secondary clamping, greatly improve the coherence of test process, degree of automation and reliability of result.

The utility model discloses a drilling soil sampling device for soil detection, which comprises a lifting plate, a lifting adjusting mechanism, an external rotation soil breaking mechanism and a mounting clamping mechanism, the lifting adjusting mechanism comprises a conical tooth assembly, a lead screw, a threaded plate, a bottom frame and a hinge lifting frame; the external rotation soil breaking mechanism comprises a conveying pipe, a lateral frame, a first motor, a second motor, an external rotation pipe, a transmission tooth assembly, an external rotation blade, a rotating shaft and a conveying blade, and stable lifting of a lifting plate is ensured through threaded fit of a bevel tooth assembly and a lead screw, so that the drilling depth is accurately controlled, high-precision control is provided for soil sampling, and the working efficiency is improved. The external rotation ground breaking mechanism effectively breaks ground by means of the rotation function of an external rotation pipe and external rotation blades, all assemblies can be rapidly connected and fixed through the design of a clamping pipe, a clamping rod, an external extension spring rod and the like of the installation clamping mechanism, and the detachability and maintenance convenience of the equipment are improved.

The invention belongs to the technical field of oil field logging, and discloses an oil field logging data optimization method based on machine learning and a related device. Original oil field logging data are collected through multi-source logging equipment and preprocessed to generate a preprocessed data set; feature correlation analysis and model importance evaluation are carried out on the data set to extract a key feature set through a dimension reduction algorithm, then the key feature set is adopted to train a pre-constructed machine learning model to obtain a logging data optimization model, and finally the model is applied to optimize to-be-processed logging data and output an optimization result. By adopting the method, the effectiveness and representativeness of logging data characteristics can be remarkably improved, the real condition of an underground reservoir can be accurately reflected, the full-well-section high-resolution logging data can be simply, conveniently and quickly obtained at low cost, a reliable basis is provided for a shale oil and gas development scheme, and the rationality of the development scheme and the overall development efficiency are further enhanced.

This invention discloses a video summarization method based on two-layer routed sparse attention and spatial pixel recalibration, belonging to the field of computer vision. The method includes: reading the input video and extracting frame-level feature vectors; constructing a video summarization generation model, performing channel enhancement on the frame-level feature vectors to obtain enhanced features; performing two-layer routed sparse attention and spatial pixel recalibration on the enhanced features, and fusing them to obtain fused features; inputting the fused features into an importance scoring regression network, outputting frame importance scores, and selecting frames to generate video summaries. This invention effectively fuses global dependencies and local details by combining two-layer routed sparse attention and spatial pixel recalibration, accurately identifying key segments in the video while reducing computational complexity. Experimental results based on the SumMe and TVSum benchmark datasets demonstrate that the method of this invention exhibits good performance in video summarization tasks.

This invention relates to the field of noise testing technology, and particularly to a method and system for testing the noise of electric drive assemblies in new energy vehicles. The method includes: constructing a test platform for electric drive noise; delineating a test area; drawing a traffic network distribution map within the test area; marking all road segments; acquiring real-world images of each road segment; and generating environmental data, wherein the environmental data includes at least: road condition information, type, and traffic flow. Through the test platform, the method obtains data reading permissions for the test vehicle; selects the deployment location of the audio pickup device at the electric drive assembly; collects audio data; locates the real-time position of the test vehicle; and uses a preset timestamp. This invention, by generating a test report, can intuitively display the road segments corresponding to the noise and perform correlation analysis between noise data and road attributes, thereby quickly identifying concentrated areas of abnormal noise and improving the accuracy and readability of noise test results.

The utility model discloses a kind of equipment for seaweed quality detection, a kind of equipment for seaweed quality detection, including lye prestorage tank, seaweed processing tank body, lye recovery tank;Wherein, lye prestorage tank is communicated with seaweed processing tank body by lye pipeline;Seaweed processing tank is communicated with lye recovery tank.The beneficial effect of the utility model is: compared with conventional seaweed detection method, conventional seaweed detection method can only handle 1 batch of seaweed at a time, each batch of seaweed is detected separately, and artificial efficiency is low.New seaweed detection equipment and method can handle 16 batches of seaweed at a time, greatly improve artificial efficiency.

The invention relates to the technical field of navigation decoy, in particular to a black flight unmanned aerial vehicle navigation decoy method and system for unmanned aerial vehicle countering. The method comprises the following steps: acquiring positions of a black-flight unmanned aerial vehicle and a visible satellite, and constructing a signal incoming coordinate system taking the black-flight unmanned aerial vehicle as an original point; screening an initial center satellite according to the angle distribution density and the outlier condition between the visible satellites in the signal coming direction coordinate system; predicting a future expected position based on a preset decoy trajectory of the black flight unmanned aerial vehicle, and obtaining a comprehensive membership degree according to an angle change condition of the visible satellite relative to the initial center satellite at the future expected position and an angle distance of a signal in a direction coordinate system; according to the initial center satellite and the comprehensive membership degree, a final center satellite of the satellite cluster is obtained through a weighted fuzzy C-means clustering algorithm, and then a decoy launching coordinate is obtained to decoy black flight unmanned aerial vehicle navigation. According to the method, the decoy launching coordinates are accurately obtained, so that the navigation decoy accuracy of the black flight unmanned aerial vehicle is effectively improved.

This utility model belongs to the field of pesticide residue detection technology in rice, and particularly relates to a sampling device for pesticide residue detection in rice. It includes a base, a pesticide residue detector mounted on the top surface of the base, a stirring drum fixed to the base via support legs, a stirring assembly inside the stirring drum, a sampling tube connected to the side wall of the stirring drum, and a thin tube connected to the sampling tube. A slide is mounted on the top surface of the base, with a slider sliding on the slide. The slider has a clamping and positioning assembly for holding a cuvette, and a driving assembly for driving the slider to reciprocate and rotate the cuvette. This utility model can achieve uniform mixing of the extract and reagents, improving sampling accuracy and detection effect, reducing human error, and increasing detection efficiency.

This invention provides a method and system for directional sound generation from a loudspeaker based on offline simulation and feedforward control, relating to the field of electroacoustic technology. The method includes: based on the feedforward compensation database, in the online implementation phase, performing frequency decomposition on the input audio signal using a digital signal processor and querying the database to obtain compensation parameters corresponding to each frequency component, thereby obtaining a real-time inverse compensation signal; using the real-time inverse compensation signal, synchronously driving the main loudspeaker and auxiliary loudspeaker, causing the compensated sound wave radiated by the auxiliary loudspeaker to destructively interfere with the sound wave behind the main loudspeaker, forming an acoustic quiet zone. This invention combines offline simulation to construct a precise database with online feedforward query for real-time compensation, ensuring accuracy and efficiency throughout the entire process from data foundation to acoustic quiet zone formation.

The invention relates to a foam light soil pore structure testing method based on ultrasonic characteristics, and belongs to the technical field of foam light soil detection.The method comprises the steps that a mold is prepared, probes are installed at the center positions of the two opposite side walls of the mold respectively, and a transmitting probe and a receiving probe are connected to an ultrasonic pulse detector; measuring an ultrasonic propagation distance L; filling the mold with newly mixed foam light soil, synchronously recording the emission time T (t1) and the arrival time T (t2) of ultrasonic waves, and calculating the wave velocity of the ultrasonic waves; calculating the relative change rate of the wave velocity along with time; and monitoring the relative change rate of the wave velocity in real time, and comparing the relative change rate with a stability threshold to judge whether the evolution of the foam light soil pore structure is finished or not. According to the method, high-frequency continuous collection of the whole process from the flow state of the foam light soil to the hardened solid state is achieved, and the limitation that only discrete time point data can be obtained in the prior art is overcome.

The invention discloses an infrared alarm system false alarm suppression system based on a big data mining algorithm, and the system achieves the effective suppression of a false alarm signal through the structural processing and correlation analysis of an alarm event generated by infrared detection. Infrared trigger signals are collected, a time-ordered alarm event sequence is formed, thermal disturbance identification, signal fluctuation suppression and credibility labeling are carried out on events, and a weighted event sequence is obtained; on the basis, performing sequence pattern mining on the weighted event sequence, extracting an event combination relationship with statistical significance, further guiding a rule generation process, and constructing a stable event structure rule; and performing validity evaluation on the generated rules, performing screening to form a reliable rule set, and outputting an alarm triggering, rechecking or suppression control signal in combination with a matching result of a current alarm event, a mode and a rule so as to realize intelligent judgment and control of infrared alarm false alarm.

The utility model discloses a kind of powder samplers, including bottom plate, the outer surface of the bottom plate is fixedly connected with placing table, the outer surface of the placing table is fixedly installed with sampling body, the inside fixed connection of the sampling body has pneumatic cylinder. The insertion depth of the device pneumatic cylinder drive telescopic link adjustable collection head, avoid the deviation caused by fixed position sampling, ensure that sample is collected from different levels such as container upper, middle, lower layer, improve the representativeness of mixed powder, according to powder characteristics such as particle size, fluidity design different shape collection head such as spiral, porous, reduce the influence of particle stratification or selective adsorption, water tank, water pump, connecting hose can be automatically flushed collection head and pipeline after sampling, prevent residual powder from polluting next batch sample, compared with manual cleaning, automatic flushing is more thorough, reduce the risk of human operation error, by operation box one-key control sampling, cleaning process, reduce manual intervention.

This application provides a method, system, storage medium, and program product for stitching building facade images based on continuous single-view imagery from a UAV, relating to the field of UAV image processing technology. The method includes: extracting features from multiple building facade images continuously acquired from a single UAV viewpoint to obtain an initial feature point set; performing corner detection on the initial feature point set to obtain a candidate corner point set, and performing line segment detection on the building facade images to obtain a line segment set; selecting a structured feature point set from the candidate corner point set and line segment set based on the structural characteristics of the building facade, and performing category weighting to obtain an enhanced feature point set; performing feature matching on the enhanced feature point sets of adjacent first and second adjacent images to obtain a set of matching point pairs; and performing image synthesis on the first and second adjacent images based on the set of matching point pairs to obtain a target panoramic image. This achieves the technical effect of improving the stitching quality of panoramic images of building facades.

The present application relates to the technical field of assembly gauge, in particular to a steam turbine blade simulation assembly gauge, which comprises a positioning disc group, a blade root clamping piece and a plurality of driving teeth. The positioning disc group comprises a rotating disc seat, a threaded disc, a tooth guide rod, a pull ear rod and a sliding sleeve piece. The threaded disc is internally provided with bevel gears and screw threads for engaging with the driving teeth, so as to drive the tooth guide rod to slide in the radial direction. The tooth guide rod drives the pull ear rod to slide through a linkage plate. The surface of the pull ear rod is provided with an inclined sliding groove and an inclined wedge surface, and is in sliding cooperation with a sliding guide block and a pulley on the inner side of the sliding sleeve piece, so as to realize clamping or loosening actions. The blade root clamping piece comprises a fixed plate part, an elastic ear part and a blade root clamping ear, and the blade root clamping ear is arranged in a V shape. The present application realizes multi-point synchronous clamping and automatic loosening of the blade root, has the advantages of uniform clamping force, high clamping precision, non-destructive fitting and convenient operation, and significantly improves the precision and efficiency of steam turbine blade assembly measurement.

The application provides a monogastric animal small intestine digestion simulation method based on peristaltic control, relates to the technical field of small intestine digestion simulation analysis, and collects and screens initial digestion liquid secretion rate curves of multiple batches of tests of target type monogastric animals under a unified time reference, then obtains a target aggregate curve capable of representing small intestine secretion dynamics characteristics through aggregate modeling, and screens a high activity time window from the target aggregate curve, and then the small intestine digestion process is segmented into a starting ramp-up section, a high activity section and a decay long tail section, and the digestion liquid drip rate sequence corresponding to each section is determined to initialize the peristaltic control parameters of the small intestine simulator device, and the key process parameters are monitored in real time during the operation of the device, and the peristaltic control parameters are dynamically optimized, so that the data-driven setting, segmented fine control and integrated cooperation of mechanical peristaltic rhythm and chemical secretion peak timing of the peristaltic control parameters are realized.

The application discloses a kind of RC hollow slab beam bridge's residual bearing capacity prediction method and system, it is related to highway bridge detection technical field, including obtaining bridge prediction section, collecting the dynamic load data generated by vehicle driving at bridge prediction section some time, dynamic load data evaluation is carried out in preset bearing assessment model, and dynamic load influence value is obtained;Synchronous static load data, according to the weight of dynamic load influence value and static load data to bridge prediction section obtained by grey correlation analysis;Similarity comparison is carried out to bridge prediction section based on weight by historical bridge section data, select the historical bridge prediction section data that exceeds preset similarity threshold as sample, and construct training set;The residual bearing capacity data of bridge prediction section is obtained according to the training set training preset bearing capacity prediction model, the residual bearing capacity prediction of certain bridge section can be realized by the application, the representativeness of training set is enhanced, and the accuracy of bearing capacity prediction is improved.

The invention provides an industrial source VOCs emission component spectrum construction method based on headspace analysis and a material balance algorithm. The method comprises the following steps: (1) raw material sample collection and pretreatment; (2) analysis of VOCs components in raw materials; (3) establishment of a material balance model; and (4) establishment of an enterprise overall emission component spectrum. According to the method, through coupling of experimental determination and material balance simulation, cross-scale connection from solvent physicochemical characteristics to enterprise emission spectrums is achieved, the accuracy, representativeness and operability of the industrial VOCs emission source component spectrums are remarkably improved, and a scientific and systematic novel method is provided for industry emission reduction decision making and pollution source analysis.