106 results about "Precipitation particle" patented technology

The invention discloses a NRIET X-band radar cooperative networking analysis method. The method comprises the steps that data are collected; the data quality is controlled; a distance weight interpolation technology is used, and a three-dimensional cressman interpolation method is used to perform lattice interpolation on radar echo, radial wind and each polarization; three-dimensional data networking is carried out; for a three-dimensional wind field inversed by a dual Doppler radar, the inversed wind field is constrained by a mass continuous equation, and the three-dimensional wind field is acquired by repeatedly iteratively solving the equation; the vertical velocity w is acquired by the mass continuous equation, and a trace boundary condition is used to adjust a vertical motion field, wherein the upper boundary of the mass continuous equation is set to integrate down; based on a radar product reflectivity algorithm, a combined reflectivity puzzle product and an echo top puzzle product are generated; through Z-R relationship, quantitative precipitation is estimated to acquire a rain intensity product; a texture classification method is used to identify a precipitation stratus convection region; and a fuzzy logic algorithm is used to recognize the phase state of precipitation particles in each region at different stages of a precipitation process.

The invention discloses a radar echo extrapolation method based on a sequential convolutional neural network. The method is realized through the following three phases: a data processing phase: decomposing a radar echo image into a plurality of images through discrete cosine transform according to different frequency bands, carrying out standard operation on the decomposed images, dividing the decomposed images into a plurality of samples to obtain a training sample set or a test sampling set; a neural network training phase: establishing and initializing the sequential convolutional neural network, training the neural network through the training sample set, obtaining a predicted value and calculating loss through network forward propagation, and adjusting parameters through back propagation to enable the neural network to converge; and a neural network test phase: processing the radar echo image to be subjected to extrapolation through the method of the data processing phase to obtain a test sample set, inputting the test sample set into the specific neural network to obtain the predicted value, and restoring the predicted value to a radar echo to obtain a predicted radar echo. The method overcomes the defect of weak precipitation particle attenuation and enhancement modeling capability of a conventional method.

Provided is a rainfall and snowfall automatic observation method based on a parallel light large visual field. Data is transmitted to a terminal computer and corresponding software modules through utilization of an optical unit, a linear array imaging sensor array, a data acquisition control unit and a transmission unit. The optical unit comprises a large visual field collimator and an imaging system. The collimator comprises a collimated light source, a diaphragm and a collimating lens set. A high-brightness light emitting diode (LED) light source or a semiconductor laser is adopted as the collimated light source, and even and stable parallel light is obtained through a piece of ground glass, the diaphragm and the collimating lens set. An imaging camera lens is arranged in front of the outgoing end of the collimator, receives the parallel light emitted from the collimator, and projects the parallel light on a linear array imaging sensor after the parallel light is optically enlarged. The shape, the equivalent size, the falling end speed and other information of a single rainfall grain can be obtained, and therefore automatic identification of rainfall phenomenon and calculation of statistical characteristics of rainfall micro-physical parameters can be achieved.

A method for coproducing xylose, white carbon black and active carbon from rice hulls comprises the following steps that: the rice hulls are washed and boiled by water, and the xylose is hydrolyzed by diluted acid; low-temperature carbonization is carried out, then, reaction with concentrated alkaline is taken to extract silicon dioxide, and the white carbon black is prepared by a coprecipitation method; and solid is added into liquor zinci chloride to be soaked for a certain time at a low temperature, then, high-temperature activation and acid washing are carried out, the materials are washed by water to the neutral state, and the materials are dried and ground to obtain active carbon. In the method provided by the invention, one line is adopted for coproducing the xylose, the white carbon black and the active carbon with high specific surface area in a branch way, the xylose preparation process for continuously hydrolyzing the hemicellulose in the rice hulls is adopted for the xylose, the xylose yield is improved, the method belongs to a simple and feasible xylose preparation process, the white carbon black is prepared by adopting an advanced chemical coprecipitation method, higher dispersing degree of the precipitation particles is maintained through adding surfactants into a solution system, and high-purity and ball-shaped white carbon black particles are prepared. The active carbon is activated by adopting the chemical activation method, the activation temperature is low, micro carbon crystals with small dimension can be favorably formed, and the active carbon with more developed porosity and better absorption performance can be obtained. The method provided by the invention has the advantages that the integrated and sufficient utilization of the rice hulls is realized, the maximum use of raw materials is realized, the integrated investment is low, the process technology is simple, and the industrialized production is easy to realize.

The invention relates to a way to prepare nickel, manganum and cobalt hydroxide. The method includes making the mixed solution a coprecipitate with mixed solution B in base solution C. The mixed solution A contains nickel salt, manganese salt and cobalt salt, the mixed solution B is a strong base solution, the base solution C is aqueous ammonia solution. The solution A also contains ammonium salt while solution B also contains aqueous ammonia; besides, after being mixed, the molarity of ammonia in solution A and solution B is the same with that in solution C. The precipitation in the invention is easier to control the ammonia density in reaction system so that it managed to control the precipitation particle size of the nickel, manganese and cobalt hydroxide precipitation. The previous reaction can go smoothly at 5-40 Deg C without extra heating and temperature-controlling device so that can substantially reduce the producing cost.

The invention relates to a method for measuring rainfall by pulse illumination optics. According to the method, controllable pulsed light is adopted, the transmission of the controllable pulsed light is consistent with frame synchronizing signals of image video signals, and the pulsed light is transmitted twice at certain time intervals T in each frame of exposure time; actually, each frame of acquired image is acquired by performing double exposure on precipitation particles, the double exposure makes particles appear at two different positions of the same fame of image, and the velocity of the particles is calculated by measuring the distance in which the particles are moved within the time T on each frame of image; the volume of the particles can be calculated according to particle sizes of precipitation particles in a measured clear precipitation particle image, the instantaneous precipitation values can be calculated by combining sampling areas, and the instantaneous rainfall is integrated to acquire gross rainfall; and rain, snow or hail can be identified according to the image of the precipitation particles and parameters such as drop spectrum distribution, velocity and the like. According to the method, particle size and dropping velocity can be simultaneously measured, and the method is extremely economic.

The invention relates to a method for measuring a laser rainfall weather phenomenon and a laser rainfall weather phenomenon instrument. A calcite crystal with the birefringent characteristic is arranged at a light source transmitting end, so that two accurate parallel horizontal measurement light strips generated by the light source transmitting end take stopping and attenuating effects on light when falling rainfall particles pass through the measurement light strips; a double peak-shaped measurement signal is generated on a receiving end photoelectric detector; and by measuring a peak-peak interval and an integral value of the double peak signal, the falling speed of the rainfall particles and information of the particle size can be obtained, the judgment on the rainfall weather phenomenon is implemented and data such as a rainfall strength, a rain droplet size spectrum and the like can be provided.

The invention provides a method for producing an ultra-low carbon high-strength cold rolling sheet. Carbon content in traditional IF steel is properly increased. Alloying elements of Mn, P, Si, and the like which have a reinforcement effect on steel are added, and elements of Nb and Ti which can form second phase precipitation particles are also added to ensure that the second phase in the steel can be precipitated in a reasonable particle size. Hot rolling and cold rolling technological parameters are controlled. A hot rolling low-temperature coiling technology is used to avoid the formation of FePTid, and further to prevent the destruction effect of the FePTid on steel sheet stamping performance and a steel sheet elongation percentage. By adjusting the cold rolling technology, the steel sheet can have a relatively high [111] texture, and therefore can acquire high tensile strength, a high elongation percentage, and a high r value, to guarantee steel mouldability and shock resistance. A test detection on the steel sheet after the cold rolling shows that the average yield strength of the steel sheet reaches 287 MPa, the tensile strength is 460 MPa, the elongation percentage is 36%, the deep stamping performance index r is equal to 1.74, n is equal to 0.202, and other performance indexes also meet standard requirements.

The invention relates to a electronic instrument to detect cloud and precipitation particle in microwave remote sensing and measuring field. Wherein, dividing the large-power microwave signal from a transmitter into two paths to send with azimuth twisted-pair bale and pitch twisted-pair cable to antenna with one path through the phase shifter and another path through the large-power attenuator and emit out with a duplexer and horn; then, driving the horizontal and vertical polarization echo signal formed by back scattering of the target into horizontal and vertical receive channels to mix with preamplifier and mixer into MF signal and send to digital MF receiver and convert into digital signal; finally, sending the signal into signal processor connected to high-speed LAN to transmit information to user. This invention fills up the filed domestic blank and provides a new device for radar weather enterprise and disaster prevention and reduction.

The present invention provides a high-strength high-heat-resistance copper alloy which has the following advantages: high tensile strength which is above 750MPa, high strength which is above Hv220, high heat resistance, and excellent jointing performance with an oxide film. The high-strength high-heat-resistance copper alloy comprises the following components in total weight: 0.4-1.0% of Ni;0.03-0.3% of Fe and / or Co (called M below); 0.05-0.2% of P; 0.1-3% of Sn; 0.05-2.5% of Zn; and 0.0005-0.05% of Cr; wherein a ratio (Ni+M) / P is 4-12; Ni / M is 3-12; the number of fine phosphide precipitationparticles with grain diameters in 1-20 nm is above 300 / mu m<2>; the number of coarse crystal precipitation particles with grain diameters which exceed 100 nm is less than 0.5 / mu m<2>; and Sn / (Ni+M+P+Sn) is above 0.01.

The invention discloses a packaged treatment method capable of reducing hardness of grey water and reducing volume of the grey water discharged out by a system. The method comprises the following steps: cooling the grey water discharged out by a grew water tank of a coal gasification system by virtue of a heat exchanger until water temperature is not higher than 35 DEG C; enabling the cooled grey water to enter an EDR device to be treated, so as to obtain softened water and concentrated water, wherein the softened water enters the grey water to be recycled, and the concentrated water enters a black water settling tank of the coal gasification system; according to the hardness and alkalinity of black water, continuously adding a flocculating agent into the black water in the black water settling tank, and also continuously or discontinuously adding a right amount of hardness reducing agent, so that the produced precipitation particles which are calcium salt and magnesium salt mainly are flocculated and settled to the bottom of the black water settling tank along with suspended solids; and enabling the grey water overflowing at the upper part of the black water settling tank to enter the grey water tank, carrying out filter pressing on mud produced at the bottom of the black water settling tank through flocculation settling, and discharging out the obtained filter cake. The method has the advantages that the hardness of circulating grey water of the coal gasification system is effectively reduced, scale formation is delayed, and the failure rate of the system equipment is reduced; meanwhile, the water circulation utilization rate of the coal gasification system is greatly improved.

The invention discloses a method for treating an alkaline zinc-nickel alloy electroplating waste water. The method comprises the following steps: adjusting the pH of the alkaline zinc-nickel alloy electroplating waste water to be 3-4, adding an aqueous solution of sodium diethyldithiocarbamate for precipitating zinc and nickel, and adding a flocculating agent to make precipitation particles aggregated; adjusting the pH of the electroplating waste water to be 4.5-5.5, and adding a sodium hypochlorite solution; and adjusting the pH of the treated electroplating waste water to be 6-9 to obtain required matter. The treatment method for the alkaline zinc-nickel alloy electroplating waste water provided by the invention can completely precipitate zinc and nickel ions with the sodium diethyldithiocarbamate through controlling the pH of the waste water in a sedimentation tank to be 4.5-5.5; and hydrogen peroxide does not need to be added to destroy aliphatic polyamine strong complexing agentsin the waste water, so that the treatment process is simplified, and the treatment process can interface with current electroplating waste water treatment equipment, solves the difficulty in the treatment of the alkaline zinc-nickel alloy electroplating waste water, and has better market application prospects.

The invention discloses a rainfall particle type identification method and a device. The method comprises steps that a polarization parameter set and preset temperature of rainfall particles are acquired, and the polarization parameter set comprises reflectivity, difference reflectivity, a difference propagation phase shift rate and a correlation coefficient; a parameter set corresponding to each rainfall particle type is respectively acquired, and the parameter set comprises a sub parameter set corresponding to each polarization parameter and a sub parameter set corresponding to the preset temperature; probability of a rainfall particle belonging to each rainfall particle type is calculated; the type of the rainfall particle is determined through utilizing probability of the rainfall particle belonging to each rainfall particle type. The method is advantaged in that through polarization parameter analysis processing, probability of the rainfall particle belonging to a certain type is acquired, rainfall particle type identification is realized, bases are provided for making different manual operation modes for different rainfall particle types, and manual influence weather work validity is improved.

The invention discloses a dual-polarization meteorological radar precipitation particle classification method based on discrete attribute BNT. The method comprises the following steps: firstly, discretizing an input polarization parameter, then constructing a Bayesian network with discrete attributes by using discretized data, determining a class prior probability by fully utilizing prior information, and finally classifying precipitation particles according to a Bayesian principle. Compared with a traditional FLA classification algorithm, the recognition rate of precipitation particles is increased, errors caused by selection of a probability model or a membership function in a traditional method are effectively avoided, the recognition capacity of precipitation particles in non-unimodaldistribution such as ice crystals is obviously improved, and the algorithm operability and generalization are higher. Simulation experiments verify the effectiveness of the method.

The invention discloses a method for preparing a platinum-carbon catalyst. The method comprises the following steps: treating an activated carbon carrier by adopting a surfactant; adding a platinum precursor solution into the activated carbon carrier treated by the surfactant, adding an inorganic base and a dispersing agent, thereby obtaining dispersion liquid with uniformly dispersed precipitation particles; and finally, reducing a platinum compound, thereby obtaining the platinum-carbon catalyst. The activated carbon carrier is treated by the surfactant, so that the acting force between the platinum particles and the activated carbon carrier is improved, the catalytic activity of the catalyst is improved, and the service life of the catalyst is prolonged. In addition, the dispersing agent is added in the crystal growth process, so that aggregation of precipitates is avoided, the dispersity of the platinum particles on the surface of the activated carbon carrier is improved, and the prepared platinum-carbon catalyst is small in particles, so that the obtained platinum-carbon catalyst is uniform and stable. Therefore, according to the combined use of the surfactant and the dispersing agent in the preparation method disclosed by the invention, the prepared platinum-carbon catalyst is high in catalytic activity and long in service life.

The invention relates to a raindrop three-dimensional detection device and a method for calculating raindrop volume through the raindrop three-dimensional detection device, and belongs to the technical field of meteorological observation. The raindrop three-dimensional detection device comprises a first laser, a first beam shaping system, a lower-layer detection area, a first linear array photoelectric detector, a second laser, a second beam shaping system, a second linear array photoelectric detector, a third laser, a third beam shaping system, an upper-layer detection area and a third linear array photoelectric detector. The method for calculating the raindrop volume through the raindrop three-dimensional detection device comprises the steps that a raindrop is modeled to be in an ellipsoid shape or a steamed bun shape, and the approximate volume of the raindrop is obtained according to collected data. According to the raindrop three-dimensional detection device, a high-speed linear array scanning method in the three-dimensional direction is adopted, the raindrop dimension sampling accuracy and resolution ratio are improved, the recognition rate of tiny rainfall particles such as drizzles is increased, meanwhile, measurement, conducted by an existing optical rain gauge, of rainfall particle forms such as shapes and falling angles is improved, a more accurate mathematic model is established, and the error is small.

The invention discloses a cloud precipitation particle shape recognition method based on image geometric-feature parameters, belongs to the field of digital-image recognition, and aims to recognize and determine, on the basis of automatically detecting a cloud precipitation particle target, shape of the cloud precipitation particle target to improve automatic-analysis capability of a cloud micro-physical-process. The method includes: (1) a cloud precipitation particle image acquisition step; (2) a cloud precipitation particle target detection and extraction step; (3) a cloud precipitation particle shape image database establishment step; (4) a cloud precipitation particle shape geometric-feature parameter extraction and selection step; and (5) a cloud precipitation particle shape recognition step. According to the cloud precipitation particle shape recognition method based on the image geometric-feature parameters of the invention, the geometric-feature parameters which can effectivelycharacterize the particle shape are selected through establishing a cloud precipitation particle shape image database, and accuracy and speed of recognition are improved through optimizing the recognition step. The method can be used for occasions of airborne cloud precipitation particle automatic-measurement.

The invention provides a system for automatically observing a precipitation phenomenon based on digital shooting, which comprises a shooting end box body with a shooting opening, a protective cover, a background box body with a background opening, a shooting device, a temperature control device, a light source, a control module, a power module and a computer, wherein the protective cover is arranged inside the shooting end box body, and the end of the protective cover, which is provided with a shooting window made of a transparent material, faces the shooting opening; the background opening is opposite to the shooting opening along the horizontal direction; the shooting device is arranged inside the protective cover and is used for controllably shooting images in a sampling area; the temperature control device is arranged inside the protective cover and is used for adjusting the ambient temperature in the protective cover; the light source is arranged inside the shooting end box body close to the shooting opening and is used for improving the brightness of the sampling area; the control module controls the work of the temperature control device and the light source; and the power module supplies power to the shooting device, the temperature control device, the light source and the control module. The system can acquire a clear digital image of precipitation particles in a natural motion state, analyze the image to obtain the size, shape and other characteristics of the precipitation particles and identify various precipitation types.

The invention belongs to the technical field of lithium-ion battery materials and particularly relates to a preparation method of a nickel-cobalt-manganese ternary positive material precursor of a lithium-ion battery. The preparation method comprises the following steps that: three metal ions of nickel, cobalt and manganese are respectively precipitated in different reaction kettles, but the reaction time is very short, the precipitation particles cannot become large, then microprecipitation particles such as Ni(OH)2, Co(OH)2, Mn(OH)2 or NiCO3, CoCO3 and MnCO3 are formed, and then the microprecipitation particles are mixed together and fully react to form the ternary precursor particles. The preparation method has the advantages that the growth environments of primary precipitated particles and secondary precipitated particles are respectively controlled, so that the crystallization process of precursor particles is more optimized; by comparison with the traditional coprecipitation method, the degree of crystallization of the precursor is obviously higher than that of the traditional coprecipitation method, so that the material synthesized by the precursor has a more excellent electrochemical property than the material synthesized by the traditional coprecipitation method.

The invention discloses a BP neural network-based microwave attenuation precipitation particle type identification method. The BP neural network-based microwave attenuation precipitation particle typeidentification method comprises the following steps: firstly, taking a microwave attenuation value in each polarization direction of each frequency line as a characteristic quantity by utilizing microwave attenuation information in different polarization directions of double-frequency and above lines, and taking a plurality of groups of characteristic quantities as matrixes of rainfall input andoutput; and then, completing nonlinear mapping from m dimension to n dimension through a BP neural network, extracting a plurality of characteristic values of the precipitation particles, and completing automatic identification of the types of the precipitation particles is completed. By adopting the BP neural network-based microwave attenuation precipitation particle type identification method, special weather conditions such as rain, snow and hail can be automatically identified in real time, and the distinguishing and monitoring effects on precipitation particles such as rain, snow and hailare improved, and the research on precipitation is promoted.

The invention relates to an online observation device and method for weather phenomena based on a light attenuation and scattering theory. The online observation device adopts an optical-mechanical structure with double light-source transmitting terminals and a single receiving end, and the optical-mechanical structure is as follows: a light source 1 transmits a precise parallel measuring light band; when falling precipitation particles pass through the measuring light band, the falling precipitation particles play a role of blocking and attenuating the light band; a photoelectric conversion signal is analyzed, so that the falling speed of the precipitation particles and the information of particle sizes can be obtained, the judgment to a precipitation weather phenomenon is realized, and the information such as precipitation intensity and raindrop spectrum can be provided; a light source 2 transmits a collimated measuring light beam; the scattering light intensity in an angle of horizontal 45 degrees of atmospheric particles in a sampling area on the light beam is detected, so that atmospheric visibility is reflected, and the identification of a visible weather phenomenon is realized. The device and the method realize the online automatic observation of a variety of weather phenomena, avoid adverse factors such as subjectivity in manual observation to cause observed results to be more accurate, timely, complete and integrated, have real significances on corresponding sciences such as meteorology, agriculture and environmental protection and engineering researches, and are widely applied to the fields of meteorological service observation, traffic safety scheduling, prevention and reduction of agricultural disasters, air quality monitoring and the like.

The invention discloses a rain, snow and hail classification monitoring method based on semi-supervised domain adaptation. Preprocessing data of each type of precipitation particle weather are obtained according to radar wave reflectivity under various types of precipitation particle weather, a first data set carrying a label and a second data set not carrying a label are constructed, a first covariance matrix and a second covariance matrix are calculated, a first feature subspace is determined, a second feature subspace is determined, a kernel function is determined according to the first feature subspace and the second feature subspace, according to the kernel function, an initial classifier is trained by taking the first data set as a training sample set, unsupervised learning is carried out on the initial classifier, so that the initial classifier adapts to a target field, obtains and determines an adjacency graph and optimizes a target function to determine a final classifier, thefinal classifier is adopted to classify rain, snow and hail, accurate classification can be carried out on rain, snow and hail, and a corresponding classification monitoring scheme has higher accuracy.

The invention discloses a rainfall type identification method using rainfall particle multi-characteristic parameters. The method comprises the following steps of: establishing a feature vector required by a precipitation particle recognition model by utilizing feature parameters such as precipitation particle geometric information, gray scale information and speed information measured by an observation instrument; according to the actual measurement particle image information, dividing the main rainfall particle types into ice crystal small particles, dendritic snowflakes, columnar snowflakes, aggregated snowflakes and raindrops; and using a support vector machine method to establish a rainfall particle type recognition model, and achieving fine recognition and classification of rainfalltypes. According to the invention, fine classification and identification of precipitation particles can be effectively realized. The measurement performance of the imaging raindrop spectrometer can be further exerted, and the fineness degree of rainfall type description is improved.

The present invention discloses a rainfall radar real-time dynamic attenuation correction and precipitation calculation method. Through the precipitation particle information obtained in real time and the improvement of a traditional attenuation correction method, the related parameters of real-time dynamic attenuation correction and precipitation calculation are obtained, the errors of radar rainfall estimation brought by local atmosphere, precipitation attenuation and other factors are effectively improved.

The invention discloses a pipeline-typed precipitation reactor which belongs to the technical field of pipeline reaction devices. The wall of the pipeline-typed precipitation reactor is provided with a jacket, an upper medium inlet and a lower medium outlet, and heating and cooling operations can be realized through heating or cooling the medium according to reaction needs. The interior of the pipeline-typed precipitation reactor is provided with a high-speed agitating impeller which is fixed respectively by an upper end enclosure and a bearing in a lower bracket, and connected with an electric motor at the upper part of the reactor. Two material inlets are arranged along a tangential direction on a top lateral surface of the reactor, and are respectively connected with the pipelines of two constant-voltage material feeders or pumps. Two types of materials are respectively fed into the pipeline-typed precipitation reactor through the two material inlets and carry out instantaneous hybrid reaction under high-speed rotation of the agitating impellers. The bottom of the reactor is open, and precipitation products are discharged through the bottom. The pipeline-typed precipitation reactor is convenient for realizing the size and distribution control of the precipitation reaction particles, reduces manual factors, and obtains narrow distribution and precipitation particle products with good batch stability.

The invention relates to liquid-liquid mixing reaction precipitation devices, and in particular relates to a precipitation reactor for producing ultra-fine cerium carbonate. A main body of a kettle body is a cylinder body, wherein the lower end of the cylinder body is closed to form an inverse truncated cone shape, and the central part of a seal head at the bottom of the kettle body adopts an internal cone shape. According to the precipitation reactor disclosed by the invention, fluids in upper and middle areas form axial circulation, and the fluid in a bottom area of a crystallizer forms radial circulation so as to ensure that the crystallizer is large in internal circulation quantity and relatively short in mixing time, the shearing rate can be significantly increased, and micro-mixing and micro mass transfer of liquid-liquid phase reaction materials can be enhanced; areas with poor mixing cannot exist, deposited dead angles cannot be formed at the bottom, and precipitation particles are high in suspension efficiency and relatively uniform in distribution of solid hold-up; and good stirring effects can be achieved under relatively small stirring power, and the energy consumption can be reduced. Cerium carbonate prepared by using the precipitation reactor disclosed by the invention is relatively fine in particle size, narrow in particle size distribution range and relatively low in cost, and is suitable for industrial application.

A method for determination of precipitation types in the atmosphere is described, wherein an output signal, in particular a radar signal, having a transmitting frequency spectrum is transmitted, reflection signals formed by reflection of the output signals at precipitation particles at at least two atmospheric levels and having a reflection spectrum are detected, and wherein finally the characteristics of the reflection signals are analyzed.The method according to the invention is characterized in that on analyzing characteristics of the reflection signals a course of a difference frequency spectrum formed by transmission frequency and reflection frequency spectrum is analyzed resolved by altitude levels.

The present invention discloses a cloud-precipitation particle image artifact identification and rejecting method in an airborne optical array probe measurement process, belonging to the technical field of image signal processing. The method comprehensively utilizes an arrival time interval algorithm and an isolated particle number threshold algorithm to perform identification of crushing particles broken by mechanical impact of particles and a probe detection arm or turbulence and wind shear interaction of the particles and the housing of the probe in the measurement process, and employs an image feature factor determination method to perform identification of fake particles such as stripe-shaped particles generated by mismatching of a sampling speed and an air speed, and linear particlesand blank particles generated by electromagnetic signal interference. The cloud-precipitation particle image artifact identification and rejecting in the airborne optical array probe measurement process can effectively perform identification and rejection of cloud-precipitation particle images in the airborne optical array probe measurement process and has an important meanings for research of the cloud-precipitation physical process by employing the cloud-precipitation particle image data through airborne measurement.

The invention discloses an MEMS (Micro-Electromechanical System)-based micro-mechanical sensor, belonging to the technical field of micro-mechanical sensors. The sensor comprises three layers of substrates made from monocrystalline silicon wafers, and a unique path for gas circulation is formed by a first cavity formed in a first substrate, a first through hole formed in a second substrate and a third cavity formed in a third substrate. When a first diaphragm stuck to the first substrate is damaged due to strong impact, the first diaphragm can be dismounted and replaced, so that the use is facilitated, and the efficiency is increased; by using an MEMS processing process, the size of the sensor is reduced; precipitation particles can be measured by using the micro-mechanical sensor.