241results about How to "Implement preprocessing" patented technology

The invention provides an intelligent analysis system and method for magnetic flux leakage detection data in a pipeline. The process comprises the following steps: adopting time domain-based sparse sampling and KNN-softmax data complete set construction module, obtaining a complete magnetic flux leakage data set; a pipeline connection assembly discovery method based on combination of selective search and a convolutional neural network is adopted in the discovery module to obtain the accurate position of the weld joint; adopting an abnormal candidate region searching and identifying method based on a Lagrangian multiplication frame and multi-source magnetic flux leakage data fusion in the discovery model to find out defective magnetic flux leakage signals; Adopting a defect quantification method based on a random forest in a quantification module to obtain a defect size; a pipeline solution improved based on the ASME B31G standard is adopted in the solution module, and an evaluation result is output. An analysis method is provided from the overall perspective, and pretreatment, connection assembly detection and abnormity detection, defect size inversion and final maintenance decision are achieved.

The invention relates to the field of video processing, and discloses a color image denoising method and a system thereof. In the method and the system thereof, cross-channel invariable information is extracted from a luminance channel image for the denoising treatment on a chrominance channel image, so that a false color edge or texture can be eliminated, the fuzzyness of the edge part can be reduced, and better integral denoising effect can be obtained. The cross-channel invariable information can be edge information, texture information, noise intensity and the like. The luminance channel may be firstly processed with local data conversion; the cross-channel invariable information is extracted from a conversion domain; and characteristic information, such as edge texture and the like can be extracted from local image data more effectively based on different characteristics of a signal represented in the conversion domain, and consequently, the chrominance channel image can be denoised better based on the information.

The invention discloses a method for producing hydrogen and methane through continuous solid state fermentation of kitchen garbage, which comprises the following steps of: (1) dewatering kitchen garbage; (2) performing steam explosion; (3) mixing sludge and initiating continuous solid state fermentation; (4) separately feeding the kitchen garbage after fermentation is initiated, and simultaneously inoculating newly fed kitchen garbage subjected to steam explosion with bottom fermentation residue on the top; (5) agitating the materials by using circulating wind in the fermentation process; (6) automatically extracting and separating the materials when the gas pressure is higher than 0.1 MPa; and (7) further drying the fermented residue to be used as an organic fertilizer. The invention has the advantages of treating the kitchen garbage through steam explosion, increasing the degradation rate of the raw materials, producing hydrogen and methane through solid state fermentation, avoiding subsequent waste water treatment and improving efficiency by using the continuous fermentation process.

The invention belongs to a vehicle-mounted road traffic automobile violation correcting device, which is based on technologies of modern communication, a computer network, GPS (Global Position System) positioning, video detection and recognition, micro electronic control, and the like. The device can be used for automatically amending regulated road traffic limit parameters and automatically recording automobile travelling states according to actual automobile travelling states, geographical sections, time zones, driver states, automobile passengers / cargoes, road environments and the like on the basis of a current automobile black box by means of high integration of an information system and monitoring equipment. The vehicle-mounted road traffic automobile violation correcting device provided by the invention is aimed at effectively managing and controlling three-exceed and one-fatigue, and is capable of realizing remote intervention, reminding, remote control, warning, regulation and control on the operation of a driver in the travelling process of an automobile and even forcing the automobile to pull over, Meanwhile, a GPS positioning system is used to notify a jurisdiction department of a automobile travelling road section and nearest police in real time in a mass texting and group calling manner so as to pre-dispose, timely correct violation of, intercept, timely investigate and timely capture illegal automobiles and drivers.

The invention discloses a pretreatment method of refractory gold ore, which is characterized by comprising the following steps of: adopting a dry-wet two-level ball grinder activating and impregnation process; carrying out first-level dry grinding by adopting a vibratory ball grinder and efficiently improving the mineral activity on the basis of energy conservation through adjusting the content of quartz in a ball grinding sample; carrying out second-level wet grinding by adopting a stirred ball grinder, simultaneously carrying out the mineral grain size reduction and the acid addition and preimpregnation, further damaging a mineral structure, realizing the complete oxidation and decomposition of sulfide ore at a lower temperature and a pressure through controlling the content of sulfuricacid, the solid-to-liquid ratio and the oxygen partial pressure in a reaction vessel and restraining the generation of elemental sulfur. The pretreatment method has the advantages of low extraction temperature, short time and low energy consumption.

The invention discloses a method for producing ethanol by continuous solid state fermentation of restaurant-kitchen garbage. The method comprises the following basic steps of: (1) performing steam explosion pretreatment on the restaurant-kitchen garbage; (2) adding saccharification enzyme, cellulase and active dry yeast into the treated raw materials; (3) continuously delivering the raw materials to a reactor under set conditions to perform continuous ethanol fermentation and extraction; and (4) automatically discharging the fermentation residue out of the reactor, and drying the fermentation residue in a continuous dryer to form an organic fertilizer. The wastewater treatment problem in the production is avoided by adopting a solid state fermentation process, the treatment efficiency of the garbage is improved by adopting a continuous production process, and heat energy produced in the fermentation process is fully utilized for extraction of the ethanol through a coupled heat pump system so as to reduce the energy consumption and reduce the production cost of the ethanol. The organic fertilizer can be obtained besides the ethanol in the production process, wastes and new pollutants are totally not produced in the production process, and full digestion and full utilization of the restaurant-kitchen garbage are realized.

The invention relates to a method for determining a motion vector of a cloud cluster in a satellite cloud picture, and the method comprises the following steps: A, carrying out the processing of the satellite cloud picture: carrying out the image enhancement processing and image sharpening processing of the satellite cloud picture; B, carrying out the recognition of the satellite cloud picture: carrying out the preprocessing of the satellite cloud picture, extracting the cloud cluster from the satellite cloud picture through a threshold segmentation method, and carrying out the further processing of the cloud cluster through the mathematical morphology; C, carrying out the calculation of the motion vector of the satellite cloud picture. According to the invention, the method can achieve the calculation of the motion vector of a cloud layer through the processing of the satellite cloud picture and the combination of cloud layer recognition, cloud cluster pixel subset dividing and spatial feature matching.

The invention relates to a water treatment device, in particular to a water treatment device integrating functions of clarification, air flotation and ultrafiltration, which solves the problems of long treatment scheme and high operating cost of the existing water treatment device. In the invention, ultrafiltration membrane components are symmetrically arranged in two separation areas of a cell body, aerator pipes are arranged below the ultrafiltration membrane components and at the bottom of a coagulation area, and a plurality of turbine agitators are evenly distributed in the coagulation area back and forth; and the turbine agitators are used for realizing mechanical clarification, the aerator pipes are used for carrying out aeration on the cell body, and the ultrafiltration membrane components are used for carrying out ultrafiltration. The water treatment device of the invention integrates the functions of clarification, air flotation and ultrafiltration and has short treatment scheme and low operating cost.

The invention provides a text fine classification method, which belongs to the technical field of computer natural language processing or pattern recognition and solves the problems of low fine category division accuracy of the existing text classification method on short files. According to the method, firstly, two stages of classifiers are built according to an existing training sample, wherein each stage of classifier comprises an independent sensitive dictionary; then, operations such as term segmentation, special pause term removal and synonym network mapping are executed on the training samples of the classifiers, and the preprocessing of term vectors is realized; next, the feature selection is carried out according to the importance difference of the term vectors, and the sensitive dictionary of the classifiers is built; then, a KNN (k-Nearest Neighbor) algorithm is used for calculating a fine classification result of a target file; and finally, the classification result is evaluated and feed back, the sensitive dictionary is dynamically optimized, and the classification accuracy is further improved. Experiments prove that when the text fine classification method provided by the invention is adopted for by the short files, the fine classification accuracy can be obviously improved.

The invention discloses a method for producing butanol by continuous solid state fermentation of restaurant-kitchen garbage. The method comprises the following basic steps of: (1) performing liquid-solid separation on the restaurant-kitchen garbage by using a centrifugal dehydrator; (2) performing steam explosion pretreatment on the dehydrated restaurant-kitchen garbage; (3) adding saccharification enzyme into the treated restaurant-kitchen garbage according to the weight, and delivering the cellulase to a continuous solid state fermentation reactor; (4) continuously inoculating the cultured clostridium acetobutylicum seed solution to a culture medium; (5) continuously delivering the raw materials to the reactor under set conditions to perform continuous butanol fermentation and extraction; (6) rectifying the condensed solvent to obtain pure products of acetone, ethanol and butanol; and (7) further drying the fermentation residue through a continuous dryer till the water content is less than 14 percent to prepare an organic fertilizer. By adopting the continuous solid state fermentation process, wastewater treatment is avoided, the treatment efficiency is increased, the energy consumption is reduced, and the production cost of the butanol is reduced.

The invention discloses multifunctional electrostatic spinning equipment. The multifunctional electrostatic spinning equipment comprises electrostatic spinning chambers, a preprocessing chamber, a sampling chamber, a disk feeding chamber and a sample receiving chamber and can achieve the functions of self-cleaning of electrostatic spinning nozzles, automatic sampling and sample replacing, in-situ modifying, continuous preparing of multi-layer nanofiber thin films and the like. The multifunctional electrostatic spinning equipment is characterized in that the three electrostatic spinning chambers are each provided with a nozzle fixator which can fix and clean the corresponding nozzle so that electrostatic spinning can be conducted smoothly; the sample receiving chamber comprises a sample disk fixator which is used for controlling rotation of sampling disks so that the sample disks can be switched between different units, and the functions of preprocessing, automatic sampling, automatic disk loading, preparing of the multi-layer nanofiber thin films and the like can be achieved. The preprocessing chamber and the sampling chamber can achieve preprocessing, acquisition and modification of electrostatic spinning products. The disk feeding chamber can automatically supplement the sample receiving chamber with the sample disks. The multifunctional electrostatic spinning equipment has the advantages of being simple in structure, convenient to operate and capable of improving the electrostatic spinning efficiency, having multiple functions and the like.

The invention discloses a method for high efficiency enrichment culture of microalgae. According to the invention, an airlift bioreactor and an illuminated airlift bioreactor are in series connection; the airlift bioreactor contains microalgae and a microalgae culture medium, air is introduced to realize airlift and aerobic culture, and a microalgae cell enrichment apparatus is employed in a liquid phase loop; the illuminated airlift bioreactor contains microalgae enriched from the airlift bioreactor and a microalgae culture medium, gas containing CO2 is introduced to realize airlift, supply of CO2 and desorption of O2, and the introduced gas containing CO2 is industrial CO2-containing tail gas which passes through a conveying pretreatment apparatus and then enters into the illuminated airlift bioreactor. Compared with the prior art, the method provided by the invention has the following advantages: high efficiency enrichment of microalgae cells and accumulation of high-content lipid of the microalgae cells are realized, a utilization rate of CO2 is increased, O2 desorption capability is enhanced, culture apparatuses are reduced, etc.

The present invention discloses a remote-sensing image road network extraction technology based on the combined filtering. A complete road substantial structure mathematic measurement model is built through combination of the human vision cognitive rules according to the aperiodicity, the anisotropy and the local directivity of the substantial image structure formed in the human cognition; under the guidance of the road substantial structure mathematic measurement model, a self-adaptive smooth filtering function is built through combination of the steam line directivity, and the self-adaptive smoothness of the road remote sensing image is realized through combination of the pixel point space distance Gauss function; and under the guidance of the road substantial structure measurement model, a self-adaptive impact filtering function is defined through combination of the maximin value filtering, and the impact enhance intensities of the function generated in different areas are different so as to realize the self-adaptive impact filtering enhancement, retain the substantial road structure while smoothing the non-road structure area and realize the preprocessing of the remote sensing image in the road extraction process.

The invention relates to a method for correcting eccentricity influences of an acoustic cement bond logging instrument during horizontal well cementing quality evaluation in an oilfield development process. The method includes: utilizing acoustic amplitude differences of eight sectors caused by eccentricity in sector cement bond logging for computing eccentric distance in a bushing; utilizing relation of the eccentric distance and a 3ft acoustic amplitude for correcting the 3ft acoustic amplitude in an eccentric state to an amplitude in an instrument intermediate state; and recomputing a cement bond index for evaluating cementing quality. The method is capable of improving accuracy of horizontal well cementing quality evaluation, provides accurate technical data for perforation and fracturing, and meets requirements of horizontal well development.

The invention discloses a preprocessing method, device and system for website access logs. The method comprises the steps that original logs are read from a cluster server; the original logs are combined and ordered to obtain a middle log stream; the middle log stream is segmented to obtain a preprocessing log. By the adoption of the preprocessing method, device and system, the problems that due to repeated read-write operation in the prior art, preprocessing for the website access logs consumes a long time, so the speed and efficiency of log processing are low are resolved, preprocessing for log data is completed by means of single-time read-write, processing time and the number of processed intermediate files are reduced, and therefore log processing efficiency is improved.

The invention discloses an environment-friendly garbage can. The environment-friendly garbage can comprises a garbage can body; an inner cavity, a garbage feeding opening and a garbage discharging opening are formed in the garbage can body, and a garbage conveying device, a crushing mechanism, a screening mechanism, a compressing mechanism, a driving motor and at least two garbage collecting siloscommunicating with the garbage discharging opening are arranged in the inner cavity of the garbage can body; the garbage conveying device is arranged below the garbage feeding opening, the crushing mechanism is arranged below the output end of the garbage conveying device; the screening mechanism is arranged below the crushing mechanism, and a plurality of leaking holes are formed in the screening mechanism to sort the garbage into two types; and the compressing mechanism is used for compressing the lightweight garbage falling from the lower end of the screening mechanism. The environment-friendly garbage can is compact and simple in structure, the burden of the follow-up garbage disposal can be reduced, the garbage can be compressed, the garbage occupying space is saved, the amount of the garbage storage is improved, and the garbage sorting collection and cleaning are facilitated.

The invention relates to the field of public facilities, in particular to a grass block laying device capable of adapting to different laying places. The technical problem to be solved by the invention is to provide the grass block laying device capable of adapting to the different laying places. According to the technical scheme, the grass block laying device capable of adapting to the differentlaying places comprises a supporting bottom frame, a storage battery, a leveling and positioning system and the like; and the supporting bottom frame is connected with the storage battery. The grass block laying device is designed for the situation that artificial grassland manufacturing is generally needed in large industrial production places and stadiums; by combining the characteristic that grass blocks are small in area, the problem that a large amount of manpower needs to be consumed in the large-area construction field and the like are solved, the problem that the grass blocks cannot beattached to land due to the fact that only simple arrangement and combination are carried out in the manual laying process is solved, the effective utilization rate of the grass blocks is increased,and the grassland generation quality is improved; and the current situation that the grass block laying device suitable for different environments cannot be found is changed.

The invention provides a credit card fraud detection method and system based on undersampling, a medium and equipment. The method comprises: fitting majority class samples of a training set in a dataset by using a Gaussian mixture model; predicting probability density values of minority class samples in the training set by using the fitted Gaussian mixture model, and selecting a maximum value inthe probability density values as a cross edge of the two classes of samples; taking the cross edge as a center, extending upwards and downwards from the cross edge to set a sampling upper bound and asampling lower bound so as to carry out undersampling to obtain an undersampling data set, and combining the undersampling data set with the minority class sample set to form an equalization trainingset; training a machine learning classifier according to the balanced training set; and detecting a credit card transaction data set by using the trained machine learning classifier. The Gaussian mixture model is used for grabbing the samples with the two types of samples distributed at the crossed edges, more useful information is provided for recognition of the two types of samples, and the recognition accuracy of the classifier in the field of credit card fraud detection is improved.

The invention relates to an integrated simulation platform and method for an electromagnetic rail gun. The integrated simulation platform and method for the electromagnetic rail gun aim at solving the problems that in the prior art, whole trajectory simulation, model verification, simulation optimization, simulation test design and firing accuracy analysis and assessment cannot be performed on the electromagnetic rail gun. According to the technical scheme, the integrated simulation platform for the electromagnetic rail gun comprises an electromagnetic rail gun simulation subsystem, a model verification subsystem, a simulation optimization subsystem, a test design subsystem and a firing accuracy analysis and assessment subsystem; the electromagnetic rail gun simulation subsystem comprises a bullet module, a rail module, a pulse power supply module, an armature module, an object module, a parameter configuration module, a simulation process management module and a data recording module. The integrated simulation platform and method for the electromagnetic rail gun are applied to the technical field of computer simulation.

This invention provides an imaging spectroscopic data processing system and method, based on present status that there exists no mature system in imaging spectroscopic data processing realm capable of pre-processing data, intending by format-switch processing original data input to the said system, radiation scaling data according to equipment parameter, atmospheric correcting the data scaled, geometric correcting the data by attitude parameter, rebuilding spectrum by surface-scaling data and so on to realize the treatment of imaging spectroscopic data and automatic pre-processing of imaging spectroscopic data via computer technology. The invention improves appliance efficiency and effect of imaging spectroscopic data treatment, and promotes appliance industrialization progress of airborne imaging spectrum technology.

The present invention relates to a method of removing outliers from position information based on an SVR algorithm, and adopts the structural risk minimization principle, and in the process, first obtains historical position solution data of 1 time before AUV current time as training data set; then constructs the SVR regression model and determine the parameters of the SVR model to be constructed;then the relative position of AUV is solved by pure distance method and the condition parameters of AUV at the current time are substituted into SVR model to get the position prediction; and finally,whether the calculated position value is an outlier or not is determined by setting the trust degree; if the difference is greater than the set trust degree, the current calculated value is eliminated and the position value at the next time is returned; otherwise, the value is retained. The invention realizes the preprocessing of the position measurement data in the underwater acoustic positioning, reduces the error generated by the outliers and is beneficial to the subsequent filtering processing.

The invention relates to a human body key point detection method and device, an electronic device and a storage medium, and the method comprises the steps: responding to the detection that an image contains a human body, extracting two-dimensional coordinate data for marking the positions of human body key points in the image, and obtaining 2D pose data; and performing human body key point featurefusion on the 2D pose data and the depth data corresponding to the human body key point position to obtain 3D pose data for identifying the human body key point position. According to the invention,accurate human body key point detection can be realized when a human body is in a motion state.

The invention discloses a sample preparation instrument which comprises an outer shell; a nitrogen blow tank is formed in the top in the shell; the lower part of the nitrogen blow tank is provided with a nitrogen blow plate device; slide ways are respectively arranged at the two sides of the nitrogen blow plate device and in the middle of the nitrogen blow plate device; the nitrogen blow plate device is also provided with nitrogen blow plates capable of sliding along the slide ways; each slide way is provided with a blocking groove, and each nitrogen blow plate is fixed by the corresponding blocking groove; a first fixing groove used for placing a sample liquid receiving plate is formed in the bottom in the outer shell; the first fixing groove is sequentially provided with an intermediate sealing ring and a second fixing groove; the second fixing groove is provided with a sample preparation plate and a solid phase extraction (SPE) bracket; a lever, an oscillator and a negative pressure pump are arranged at the lower part of the first fixing groove; the side surface of the first fixing groove is provided with two small holes which are respectively connected with two fans, and a gas heating device located at the back of the first fixing groove; and the back of the outer shell is provided with a waste liquid outlet hole, an outer nitrogen interface, a negative pressure interface, a power interface and a nitrogen heating device.

The invention discloses a solid-phase extraction column used cooperatively with a GC-FID instrument and application thereof. The solid-phase extraction column used cooperatively with the GC-FID instrument is applied to pretreatment of a to-be-detected sample for mineral oil contaminant detection of food. The solid-phase extraction column comprises a hollow glass column and a plurality of glass fiber sieve plates which are arranged in the hollow glass column and isolate the interior of the hollow glass column into a silver nitrate impregnated silica gel filling space used for filling of silver nitrate impregnated silica gel, an anhydrous sodium sulfate filling space used for filling of anhydrous sodium sulfate and an alumina filling space used for filling of alumina, wherein the silver nitrate impregnated silica gel filling space, the anhydrous sodium sulfate filling space and the alumina filling space are successively arranged from top to bottom. Through pretreatment of the sample for analysis of mineral oil contamination of food by using the solid-phase extraction column, analysis pollution can be effectively reduced, and repeatability and accuracy of sample detection are improved; and the solid-phase extraction column is applicable to most food.

The invention provides a GNSS satellite clock error real-time estimation quality control method aimed at characteristics that real-time clock error estimation has high requirement on observation data quality and cannot perform post residual error edition. The method comprises two aspects: first step, before parameter estimation, preprocessing original observation data, including gross error rejecting and cycle slip detection; second step, after update of filter observation, based on a posttest observed value residual error, analyzing and processing a gross error and cycle slip which are not detected in a previous step, specifically including steps of establishing a square root information filtering algorithm model, processing noise; smoothing square root information; and based on square root information filtering, performing real-time quality control. The method can realize preprocessing of real-time clock error data and efficient quality control, and can efficiently find out problematic observed quantity, prevents filter divergence, so as to realize real-time clock error stable estimation and satisfy real-time high-precision positioning requirement.

The invention discloses a freezing-resistant sintered thermal insulation brick production line and a production method. The freezing-resistant sintered thermal insulation brick production line includes a production line body, wherein the production line body includes a batching mixing tank, and a first conveyor belt is detachably connected to the lower end of the batching mixing tank; a vacuum extruder is detachably connected to the lower end of the first conveyor belt, and a second conveyor belt is arranged at a discharge opening of the vacuum extruder; a first cutting mechanism is movably connected to the outside of the second conveyor belt, and a second cutting mechanism is fixedly connected to the right end of the second conveyor belt; and a third conveyor belt is installed at the discharge end of the second cutting mechanism, and a calcining furnace is arranged at the right end of the third conveyor belt. According to the freezing-resistant sintered thermal insulation brick production line and the production method, formed bricks have the functions of freezing resistance and heat insulation, the overall practicability is increased, the overall energy consumption is reduced, the overall practicability is increased, positioning screw holes are distributed at equal intervals inside a positioning tool holder, adjusting of the forming shape of the bricks is facilitated, and theoverall flexibility is increased.

The invention relates to an artificial intelligence technology, and discloses a cluster resource scheduling method and device, computer equipment and a storage medium. The method comprises the steps of receiving a task and priority setting instruction, conducting statement analysis on the tasks, and calculating task resource requirements based on the knowledge graph, based on the task and the taskresource demand, predicting a task execution time length and a calculation resource occupation proportion in a preset time period by utilizing a prediction model, judging the task according to the task execution duration, the computing resource occupation proportion in the preset time period and the priority setting instruction, when the judgment result is an emergency task and a small task, inputting the emergency task and the small task into a computing resource configuration queue, when the judgment result is a big task, determining a computing resource configuration scheme of the big taskby utilizing an operational research algorithm, configuring computing resources by utilizing the configuration scheme, and inputting the computing resources into a computing resource configuration queue, and scheduling the cluster resources according to the computing resource configuration queue. The utilization rate of cluster resources can be improved.

The invention provides a grain processing smashing device for an agricultural machine. The grain processing smashing device comprises a rack. A pretreatment system and a finish processing system are sequentially arranged in the rack from top to bottom. The pretreatment system comprises multiple levels of extruding mechanisms arranged side by side. The finish processing system comprises a smashingand grinding mechanism, a screening mechanism, a spiral conveying mechanism and a material receiving mechanism. The grain processing smashing device for the agricultural machine is simple in structureand convenient to use, grain raw materials enter the multiple levels of extruding mechanisms from a feeding pipe to be subjected to extruding pretreatment, then the grain raw materials are subjectedto finish processing through the smashing and grinding mechanism and the screening mechanism, the grain raw materials are fully smashed, ground and screened, the screening efficiency is high, the grinding effect is good, the ground grain raw materials are collected through a collecting tank, the labor intensity of workers is reduced, the working efficiency is improved, the grain raw materials which are obtained after finish processing and do not conform to the standard are returned to the smashing and grinding mechanism through the spiral conveying mechanism to be subjected to secondary smashing and grinding until the grain raw materials conform to the standard, and then grain raw materials fall into the collecting tank through the screening mechanism to be collected.

The apparatus comprises the camera composed of the black or color linear CCD chip integration board (including A / D converter, RAM, PLD, I / O port and USB port), optical system (lens and light source), data collecting card, computer, light barrier board having tunable margin and glare shade. The camera is located at one side of manufactured products, and the manufactured products are exposed through a direction-tunable light source, and then the reflected light is coupled into the CCD sensing surface through the lens. The components in the integration board complete the A / D conversion, image processing and transmission. Through the image collecting card the images are transmitted to the computer to implement the saving of consecutive image. It can be used for field supervision, the PLD can make pre-process for the defect in collected image and send alarm signals. The consecutive image saved in the computer can provide a reference for the product classification.

The invention discloses a simulated annealing optimization neural network-based visibility sensor and a detection method thereof, wherein the visibility sensor comprises a microprocessor module and apower supply circuit for supplying power for each electricity utilization module in the visibility sensor; the input end of the microprocessor module is connected with a visibility detection circuit;the visibility detection circuit comprises a particle concentration sensor and a temperature and humidity sensor; the microprocessor module, the particle concentration sensor and the temperature and humidity sensor are all connected with the output end of the power supply circuit. The detection method comprises the following steps of 1, performing data acquiring and transmitting; 2, carrying out data preprocessing; and 3, carrying out data processing to obtain a visibility detection value. The device is novel and reasonable in design, convenient to implement, low in cost and high in visibilitydetection precision, can be well applied to visibility detection, is high in practicability, good in use effect and convenient to popularize and use.