234 results about "Laser scattering" patented technology

The invention provides a multi-mode large model-based precision metal part defect detection method and system. The method comprises the following steps of: acquiring laser scattering image data of a precision metal part in an electromagnetic shielding environment; performing multi-scale spatial analysis on the laser scattering image data to extract a multi-modal image feature set containing a crystal boundary topological structure of the surface of the precision metal part and scattering spot distribution gradient features of the subsurface; converting process parameters, corresponding to the precision metal part, in an existing metal heat treatment process database into heat historical feature vectors, wherein the heat historical feature vectors comprise temperature gradient distribution features and time sequence phase change features; performing fusion processing on the thermal historical feature vector and the multi-modal image feature set through a multi-modal large model to obtain a fusion processing result so as to generate defect detection data; according to the invention, the detection rate and the detection efficiency of micron-sized defects in a complex electromagnetic environment are improved.

The invention relates to the technical field of chip optical detection, and discloses a high-precision defect detection method and system for a semiconductor chip. Initial detection data are obtained through laser scattering and photo-thermal microscopic detection, key visual features are extracted and converted into a multi-dimensional visual feature matrix, and the multi-dimensional visual feature matrix is used for detecting the defects of the semiconductor chip; according to the method, a fuzzy sensing area is positioned and potential defects are identified by using a map clustering algorithm, adaptive analysis of a supplementary visual angle is carried out and supplementary detection data is generated, and finally defect identification is carried out through the supplementary data and popularity information to obtain a chip defect result. The method effectively improves the precision and reliability of defect detection, especially has obvious advantages in recognition of complex and fuzzy regions, and solves the problem of insufficient precision of single-path optical imaging detection in the prior art.

The invention discloses a flue gas emission continuous monitoring device and a monitoring method, and relates to the technical field of flue gas emission, the device realizes gas inlet detection and multidirectional gas inlet and gas exhaust of cleaning pipelines and parts through a U-shaped gas inlet pipe, a preheating pipe, a first gas return pipe, a first gas inlet pipe, a gas collection chamber, a condensation pipe, a liquid collection chamber and a second gas return pipe; preheating and heat preservation are achieved through air inlet and air outlet, heat preservation measurement is achieved in the heat preservation shell, pipelines and parts, interference of temperature, oil and particulate matter is effectively reduced, and the monitoring precision is improved; the laser scattering sensor is used for measuring the concentration and the particle size of particulate matters, the optical fiber measuring unit is used for monitoring other components in flue gas, and real-time monitoring and emission component analysis of the flue gas are realized by collecting released liquid and measuring substances dissolved in the liquid; the problems that smoke monitoring is easy to interfere, detection data are easy to fluctuate, and a multi-operation-mode switching technology of a detection device is lacked, so that the smoke monitoring precision is low are solved.

The invention provides a flying dust online detection method and system based on laser, and the method comprises the following steps: obtaining laser scattering signal intensity, particle concentration, wind speed, wind direction, humidity and other environmental meteorological data before and after the abnormality when the flying dust concentration of a flying dust monitoring region is monitored to be abnormal; calculating laser scattering energy and a particulate matter concentration change rate to obtain a flying dust concentration change coefficient; and judging an abnormal type according to the change coefficient and an abnormal identification criterion, and if the flying dust concentration in the region exceeds the standard, starting an early warning action to realize management of the flying dust monitoring region. According to the invention, the abnormal type of dust raising can be accurately identified, early warning is started in time, and the environment management and control capability of a dust raising monitoring area is improved.

The invention relates to the technical field of laser deposition control, in particular to an unmanned aerial vehicle metal part ultrasonic field auxiliary laser deposition system which comprises the following modules: a data acquisition module for acquiring a molten pool thermal field signal, a sound field signal and a laser scattering signal, and performing sampling, filtering and synchronous processing to obtain molten pool original data; the micro-flow digital twinning module is used for establishing a molten pool micro-flow digital twinning model according to the molten pool original data and simulating molten pool micro-flow behavior to obtain micro-flow prediction data; and the microflow ultrasonic regulation and control module is used for generating an ultrasonic pulse sequence according to the microflow prediction data and applying the ultrasonic pulse sequence to the molten pool to regulate and control the flow field. According to the invention, through the molten pool microflow digital twinning module and the microflow ultrasonic regulation and control module, real-time modeling and regulation and control of the molten pool microflow structure in the complex geometric part deposition process are realized, the problem that local vortexes, shear layer differences and flow field anomalies cannot be identified in real time in the traditional technology is solved, and the molten pool microflow evolution can be actively reconstructed.

The invention relates to a particle size control method, device and equipment for a power grid pressing type atomizer. The method comprises the following steps: collecting an original data set of a voltage grid type atomizer, and determining a target particle size control interval; according to the target particle size control interval, creating an initial intermittent power supply scheme including pulse frequency, pulse width and pulse interval time; executing an initial intermittent power supply scheme, and collecting a current particle size measurement value through a laser scattering sensor; the deviation between the current particle size measurement value and the target particle size control interval is calculated, and a driving parameter adjustment instruction is generated through self-adaptive error compensation; and according to the driving parameter adjustment instruction, correcting the pulse frequency, the pulse width and the pulse interval time in the initial intermittent power supply scheme to obtain a target intermittent power supply scheme. According to the method, the optimal control parameters are formulated for the starting stage, the stable stage and the ending stage respectively, the specific particle size requirements of different atomization stages are met, and real-time high-precision monitoring of the particle size of the fog drops is achieved.

The invention relates to the technical field of control systems, and particularly discloses a crushed material drying system and an operation method thereof, and the crushed material drying system comprises a data acquisition module, a multi-source data fusion module, a dynamic shunting decision module, a cooperative control module and a tail gas treatment optimization module. The data acquisition module acquires particle size distribution, moisture content, stacking density and dust concentration data of materials in real time through a laser scattering type particle size analyzer and a microwave moisture sensor, and transmits the data to the multi-source data fusion module through a Modbus protocol; according to the operation method, through an abnormal working condition grading alarm mechanism, a genetic algorithm optimization fuzzy rule base and multi-module data linkage, the problems of local overheating and low energy efficiency caused by parameter mismatch in traditional control are solved, and global optimization of drying efficiency, energy consumption and operation stability is achieved.

The invention provides a perovskite photovoltaic cell ruling machine and a control method thereof, and the method comprises the steps: collecting a cell surface map at the end of first ruling, converting the cell surface map into a cell brightness map, and determining the laser scattering amount of each pixel point in the cell surface map; extracting a laser interference component in the battery brightness diagram based on all laser scattering amounts in the battery surface diagram, determining an equal-brightness-domain sequence of the battery brightness diagram, correcting the laser interference component according to the equal-brightness-domain sequence to obtain a brightness equalization component, determining a brightness equalization diagram through the brightness equalization component, and obtaining a battery scribing auxiliary diagram; the scribing depth of each scribed line on the perovskite photovoltaic cell is determined through the cell scribing auxiliary graph and the brightness balance graph, and the focal length of the corresponding laser on the perovskite photovoltaic cell scribing machine next time is adjusted through the scribing depth of each scribed line on the perovskite photovoltaic cell, so that self-adaptive adjustment of the laser focal length can be realized. Therefore, slag is prevented from appearing in the scribing process of the perovskite photovoltaic cell.

The invention discloses a direct injection type total sulfur analyzer with a pretreatment structure, and relates to the technical field of total sulfur analyzer pretreatment, the direct injection type total sulfur analyzer comprises a sulfur detection box and a side-hung regulation box, a flow direction regulation pipeline is installed in the side-hung regulation box, and two sides of the bottom of the flow direction regulation pipeline symmetrically communicate with gas guide pipes; the air guide pipe penetrates through the side-hung regulation and control box and is fixedly communicated with a conducting pipe; through the design of the two-path parallel flow direction adjusting pipeline, the non-stop maintenance function is achieved, the laser scattering sensor and the intelligent regulation and control system are combined, the airflow path and the processing strategy can be automatically adjusted according to impurity data monitored in real time, the problems that in the prior art, maintenance is difficult, adaptability is poor, and the intelligent degree is low are solved, and the maintenance efficiency is improved. The detection efficiency and reliability of the total sulfur analyzer are remarkably improved, and the method is particularly suitable for long-term continuous monitoring tasks in a complex industrial environment.

The utility model relates to the technical field of electric power base stations, in particular to an electric power base station fire-fighting device for electric power engineering, which comprises a fire-fighting cabinet. When a fire occurs, smoke enters the glass tube, a laser signal emitted by the laser generator is blocked by the smoke, the laser receiver controls the warning lamp to be turned on, and laser is scattered at the top of the photoelectric sensor along with increase of the smoke concentration; a photoelectric sensor controls a multi-stage alarm to give an alarm with corresponding frequency and volume according to the brightness degree of laser, a worker opens the fire-fighting cabinet and takes out the dry fire extinguisher to extinguish fire, in the same way, when a transparent pipe is covered with stains, a warning lamp is also turned on, a motor drives a screw to rotate, and the dry fire extinguisher is taken out; and the screw rod drives the annular cleaning block to clean the outer side of the transparent tube, so that whether the air in the area contains smoke or not can be detected, meanwhile, the glass tube for detection can be automatically cleaned, the detection sensitivity is improved, and an alarm can be given at the first time when a fire occurs.

The invention relates to the technical field of medical equipment, and discloses an intelligent monitoring system and method for temperature and humidity in the use process of a medical refrigerator, and the system comprises a temperature and humidity waveform parameter processing module, a temperature and humidity monitoring analysis module and a temperature and humidity monitoring execution module. When the temperature and humidity of the medical refrigerator are monitored in real time, the system analyzes the physical state of the contact surface of the sensor in real time by deploying a laser scattering compensation algorithm, and can dynamically recognize the problem of measurement distortion caused by shielding of condensate water and biological samples, so that the system automatically corrects the drift error of temperature and humidity sampling values when the contact surface is interfered; accuracy of supervision data is ensured, and temperature and humidity supervision errors are eliminated.

The invention discloses a high-precision dynamic linear displacement metering device based on laser scattering suppression, and relates to the related technical field of displacement monitoring, and the device comprises a host, rails, a stabilizing mechanism, supporting legs, a measuring mechanism, a data processing mechanism, a data processing mechanism, a data processing mechanism, a data processing mechanism, a data processing mechanism and a data processing mechanism, the host is slidably installed above the rails and is used for horizontally moving the host; the stabilizing mechanism is installed between the rails and is used for keeping the host in a horizontal state; the stabilizing mechanism is connected between the track and the main machine, the two adjusting mechanisms are installed between the stabilizing mechanism and the main machine and used for adjusting the horizontal angle and the inclination angle of the main machine, and the track, the stabilizing mechanism, the supporting feet and the adjusting mechanisms are arranged to cooperate with each other. The invention relates to a multi-dimensional angle adjusting device, in particular to a multi-dimensional angle adjusting device, which solves the problem that existing equipment cannot realize horizontal movement, autonomous leveling and multi-dimensional angle adjustment in industrial field application. The problems that an existing dynamic linear displacement metering device is insufficient in environmental adaptability and weak in anti-interference capacity, and the measurement stability is limited by external conditions are solved.

The invention provides a welding seam parameter anti-interference measurement method, which comprises the following steps of: acquiring spectrum characteristics of a high-reflectivity surface through a laser scattering technology and Fourier transform processing, matching a correction coefficient, realizing weighted adjustment and geometric parameter extraction of a scattering signal, accurately quantifying a groove size in combination with an edge enhancement algorithm and a three-dimensional contour modeling technology, and accurately measuring the welding seam parameters. Interference such as surface oil stain, corrosion and stripe fracture is effectively overcome by using image filtering, morphological reconstruction and an abnormal value elimination algorithm, and finally, high-precision and anti-interference measurement of the weld groove angle, the truncated edge thickness and the assembly alignment tolerance under high-reflection, corrosion and complex working conditions is realized through multi-source data fusion and self-adaptive calculation range adjustment. And the reliability and the automation level of welding quality detection are remarkably improved.

The invention discloses an integrated fire detection intelligent lamp for a railway tunnel. The integrated fire detection intelligent lamp comprises a multi-mode sensing module, an integrated thermal imaging array sensor, a multispectral flame sensor, a laser scattering type smoke sensor and an electrochemical CO sensor. An FPGA chip and a lightweight convolutional neural network model are arranged in the signal processing module, space-time fusion analysis is carried out on multi-modal sensing data in real time, and a fire judgment threshold is dynamically optimized through transfer learning; the dynamic ad hoc network communication module supports dual protocols of LoRaWAN and TSN; the adaptive power supply adopts an AC / DC power conversion module, integrates a piezoelectric vibration energy collection module and a thermoelectric power generation module, and combines a super capacitor and a lithium battery to realize quintuple redundant power supply; and the three-dimensional lighting array consists of a plurality of groups of independently controlled LED matrixes and is used for dynamically adjusting a lighting area and brightness distribution. The fire hazard detection sensitivity is improved through multi-dimensional data fusion, the illumination function is achieved, and the use requirement of the railway tunnel in the severe environment is met.

The invention relates to a simulation method and device for a hydraulic support column descending and support moving dust production migration rule, and belongs to the technical field of coal mine dust control. In order to solve the problems that the prediction error of an existing model exceeds 40%, the migration path deviation exceeds 50%, the side seam adjusting precision of the device is + / -20 mm, and the dust falling efficiency fluctuates by 35%, a multi-factor coupling modeling and intelligent dynamic regulation and control technology is provided. The method comprises the following steps: constructing a dust production prediction model of coal rock hardness, water content, roof pressure bearing and side seam spacing coupling, monitoring dust distribution in real time by adopting a laser scattering sensor and a particle size spectrometer array, designing a high-precision electric push rod to adjust the side seam spacing to + / -0.5 mm, and dynamically correcting an error in combination with Kalman filtering. The device comprises an adjustable support assembly, a triaxial pressure loading module and an intelligent verification system. The dust production prediction error is 9.8%, the migration deviation is 14.6%, the adjusting efficiency is improved by 3.2 times, the dust falling fluctuation is compressed to 7.9%, and the respiratory dust inhibition rate reaches 85.4%.

The invention discloses a macro-energy laser light path environment purification method, which specifically comprises the following steps that three stages of purifiers are arranged in a closed environment of a photoelectric same cabin, and the three stages of purifiers comprise a first-stage high-speed airflow purging module, a second-stage electrostatic adsorption module and a third-stage high-efficiency filtering module; a laser scattering type impurity sensor is arranged in a closed environment of the photoelectric same cabin for real-time monitoring; the method comprises the following steps: firstly, carrying out primary purification, and carrying out replacement purging on a closed environment of the photoelectric same bin by adopting high-purity inert gas; then a third-stage purifier is started for deep purification, and when the real-time impurity concentration monitored by the impurity sensor is lower than a set threshold value, the third-stage purifier is closed. According to the technical scheme, the light path can be efficiently, stably and dynamically regulated and controlled to be purified, deep removal of impurities in the light path is achieved, and stable transmission of high-energy laser is guaranteed.

The utility model discloses a sample introduction device of an on-line laser particle size analyzer, which belongs to the technical field of laser particle size analyzers and comprises a conveying mechanism, the conveying mechanism comprises a first mixing cavity, a first feeding cavity, a first air inlet cavity and a first discharging cavity, compressed air enters the first mixing cavity through the first air inlet cavity, and the first mixing cavity is communicated with the first feeding cavity through the first discharging cavity. The sample is output through the first discharging cavity; the dispersing mechanism comprises a second mixing cavity, a second feeding cavity, a second air inlet cavity and a second discharging cavity, compressed air enters the second mixing cavity through the second air inlet cavity, and a sample is output into the dry-method laser scattering measurement mechanism through the second discharging cavity; the first air inlet cavity, the first mixing cavity and the first discharging cavity are coaxially arranged, and the second air inlet cavity, the second mixing cavity and the second discharging cavity are coaxially arranged. The device can shorten the tube distance of particle dispersion and avoid re-adhesion of dispersed samples, so that the measurement quality and efficiency are improved, and the accuracy of measurement data is ensured.

The invention discloses a quartz sand proppant turbidity online detection method based on laser scattering, and relates to the technical field of industrial online detection. The high-precision laser sensor is used for collecting scattering signals, and a wavelet threshold denoising algorithm is combined, so that impurity noise and particle size heterogeneity interference are effectively removed, real-time online detection of the turbidity of the quartz sand suspension is realized, and the production efficiency and the timeliness of product quality control are remarkably improved; a particle swarm optimization algorithm is utilized to dynamically adjust detection parameters, an environmental influence model is established to quantify the influence of temperature and flow velocity changes on scattering signals, and a least square method is adopted to fit residual errors for correction, so that the detection precision and stability are further improved, and the reliability of a detection result under a complex working condition is ensured; the online turbidity value is monitored in real time, a feedback mechanism is triggered to automatically adjust production line parameters, and intelligent quality control is achieved.

The invention relates to the technical field of particle size detection, in particular to an online particle size detector which comprises a base, the screening and arranging mechanism comprises an arc-shaped shell fixedly connected to the upper end face of the base, one end of the arc-shaped shell is provided with a material conveying assembly used for spraying particles to be detected into the arc-shaped shell, and the other end of the arc-shaped shell is sequentially provided with a vacuum dust collector and a laser scattering instrument; two air curtain assemblies used for screening different specifications of particle sizes are symmetrically arranged on the inner arc face of the arc-shaped shell and the material conveying assembly, and fixing plates are arranged on the upper end faces of the opposite faces of the two air curtain assemblies. Through a material conveying assembly and an air curtain assembly in the screening and arranging mechanism, distributed transmission of granularity and screening of granularity of different specifications can be realized, so that the granularity specifications entering the detector are kept basically consistent, detection errors caused by particle mixing and a block mass effect are reduced by accurately controlling airflow and granularity distribution, and the detection accuracy is improved. And the detection result is more reliable.

The automatic detection system for the defects of the coated grain comprises a negative pressure loading device, the manipulator is used for placing the coated grain to be detected into the groove and taking out the coated grain from the groove; the laser speckle detection device is used for detecting defects of the first end and the second end of the coated grain; the control unit is used for controlling the negative pressure cabin, the turntable, the manipulator and the laser speckle detection device; wherein the turntable is used for driving the coated grain on the sample table to rotate so as to align the first end and the second end to a laser speckle detection device respectively. The turntable can drive the coated grain to rotate, the two end faces of the coated grain can be detected by closing the hatch cover once, defect identification and unqualified product screening are automatically completed, and the detection efficiency is improved.

The transmission-type wavelength conversion device comprises a laser scattering layer, a heat sink substrate layer, a wavelength conversion layer and a light homogenizing layer which are sequentially arranged in a stacked mode. Wherein the laser scattering layer is used for scattering laser from a form of Gaussian distribution of energy and strip-shaped light spots into a form of weak Gaussian distribution of energy and round or similar round light spots, the heat sink substrate layer is a light-transmitting substrate with the laser transmittance being 75% or above, and the wavelength conversion layer is used for converting at least part of the laser into fluorescent light. And the light homogenizing layer is used for scattering fluorescent light and residual laser. According to the device, on the premise that no extra lens is added and the size of the white laser light source is not enlarged, through the dual effects of the laser scattering layer and the light beam homogenizing layer, effective shaping of laser spots can be achieved, and the color uniformity and the illumination quality of the white laser light source can be remarkably improved; and a feasible solution is provided for application of a miniaturized and integrated white laser light source in a circular light spot scene.

The invention provides a liquid particle counting method and device based on an image sensing chip, and mainly solves the problems that in the existing oil product particle detection technology, a laser scattering automatic particle counting method is low in detection precision, and a microscope detection method is high in cost and poor in reliability. According to the scheme, a microscopic image of a liquid sample is shot by a chip end through a light source and an image sensing chip, the collected microscopic image of the liquid sample is encoded and preprocessed by a computer end, and particulate matter recognition and particle size analysis are realized through a computer vision target detection module based on deep learning. Experiments prove that the method can accurately identify particles and effectively remove interferents such as bubbles and water drops, the measurement precision is improved by about 25%, and the particle detection range is expanded to 0.4-1000 microns. According to the overall design, collaboration and unification of miniaturization, high precision, high efficiency and low cost are achieved, and a new technical path is provided for real-time monitoring and field application of oil product particles.

To provide a flaky silver powder having a tapped density of from 0.8 g / mL to 1.9 g / mL, and a cumulative 50th percentile particle diameter (D50) of from 2 μm to 7 μm, where the cumulative 50th percentile particle diameter (D50) is measured by laser diffraction or laser scattering particle size analysis.

The invention relates to the technical field of silver powder production detection control, and discloses a silver powder production detection method and system based on the Internet of Things and a storage medium. The method comprises the following steps: deploying a laser scattering and conductivity sensor to construct a silver powder detection Internet of Things to obtain real-time data; filtering the data to calculate feature points to obtain a parameter set; establishing a dual-threshold feedback control model based on the parameter set to realize purity monitoring and obtain an early warning signal; and generating a detection report according to the early warning signal to record silver powder characteristics to form a batch file. The technical problems of insufficient real-time monitoring capability, insufficient environmental factor interference compensation and insufficient quality data integrated management in traditional silver powder production detection are solved.

The invention provides a shock wave curvature measurement method and device. The method comprises the following steps: acquiring an original image obtained through a planar laser scattering technology; performing contrast enhancement and noise reduction on the original image to obtain a target image; a window area is selected from the shock wave starting point in the target image; carrying out adaptive image segmentation on the newest window area to obtain a local shock wave curve, and judging whether a shock wave end point exists or not; if not, moving the window area in the target image based on the geometric direction of the latest local shock wave curve, and returning to the step of performing adaptive image segmentation on the latest window area to obtain the local shock wave curve; if yes, the local shock wave curves are spliced, the curvature is calculated, and the shock wave curvature is obtained. According to the scheme, the strategy of combining the moving window and the local adaptive image segmentation is adopted, it is ensured that the optimal segmentation effect can be achieved in each local area, the accuracy of shock wave curve extraction is improved, and therefore the purpose of improving the accuracy of shock wave curvature measurement is achieved.

The invention discloses a Z-Wave-based air-breathing smoke sensing detection early warning system, and the system comprises a sampling detection unit which is used for extracting an air sample of a monitoring region through a plurality of air suction pipelines, and generating smoke particle concentration data through a laser scattering sensor; the dynamic analysis unit is used for receiving the smoke particle concentration data based on a Z-Wave protocol and generating early warning signals according to the concentration gradient change and preset threshold grading; and the linkage execution unit is used for mapping the early warning signal to Z-Wave network equipment and driving a ventilation system, a spraying device and an alarm to execute hierarchical response actions. By means of active inspiration sampling and Z-Wave wireless network deployment, large-range non-blind-area early smoke detection is achieved, concentration gradient intelligent analysis and equipment hierarchical linkage response are combined, and the timeliness and accuracy of fire early warning and the collaboration of emergency disposal are remarkably improved.

A hovering and / or accompanying laser decoy, an attracting and deviating system comprising the decoy, the hovering and / or accompanying laser decoy comprising a laser, a decoy head and a carrier, wherein the laser comprises a connecting part of the laser and the decoy head, the decoy head comprises a laser scattering body, a base and a connecting part with the laser, the connecting part of the laser and the decoy head is arranged to meet the combination of the laser and the decoy head being connected as a whole, and the laser emitted by the laser irradiates into the decoy head and is partially or totally scattered by the laser scattering body therein. The decoy and the attracting and deviating system comprising the decoy are particularly suitable for laser guidance attracting and deviating protection of movable targets.

The invention discloses a system and a process for reducing long film distortion caused by stress mutation in an EPI process, and relates to the technical field of wafer production, an edge defect detection module is used for scanning an annular region of a wafer edge, dividing the region into N circumferential sectors, identifying geometric parameters of microcracks in each sector j, and determining the micro-crack distortion in each sector j; and outputting a structured defect coordinate list organized according to each sector j. According to the method, the edge of a wafer is divided into N sectors, the angular position, the radial position and the depth of each micro-crack are obtained based on laser scattering imaging, structural features such as equivalent crack depth, average radial position and nearest neighbor distance are generated through polymerization, and a five-dimensional stress concentration factor (SCF) lookup table constructed offline is combined with material parameters, so that the depth of each micro-crack is obtained. The thermal stress risk of each sector is quickly predicted, and when the SCF exceeds a threshold value of 1.8, the system only implements bias voltage modulation on the high-risk sector, so that accurate intervention that the high-risk sector is reinforced when the high-risk sector is weak is realized.

The invention discloses a method for determining the granularity of a mirabegron raw material, and belongs to the technical field of medicine preparation. According to the measuring method, a dry laser scattering method is adopted, and measuring parameters comprise dispersion air pressure, sample feeding speed, hopper gaps and measuring duration. According to the method, the particle size and the particle size distribution of the mirabegron bulk drug are measured by using the dry laser scattering method, the accuracy is high, the repeatability is good, the operation is simple, convenient, rapid, effective and reliable, and the product quality can be effectively controlled.