37results about How to "Overcome the result" patented technology

The present application provides a quality inspection treatment method and a system. After the work order sampling process, all traffic orders to be subjected to quality inspection are obtained. After that, the data of a recorded audio file corresponding to each traffic order is subjected to voice analysis. Meanwhile, the comprehensive analysis and the quality inspection for each traffic order and the voice analysis result of the corresponding recorded audio file are conducted, so that a comprehensive quality inspection result is obtained. Finally, according to the comprehensive quality inspection result of each traffic order and the customer service ownership condition of the traffic order, the quality inspection result of each sampled customer service corresponding to the traffic order can be obtained. In this way, the quality inspection process for the customer service is automatically realized. Therefore, the problems that the existing manual quality inspection manner is large in occupancy of human resources, poor in quality inspection efficiency and not objective in quality inspection result in the prior art can be solved.

The invention relates to a statistical method and system for audience ratings based on a block chain. The statistical method for the audience ratings based on the block chain comprises the following steps that collection nodes obtain current playing metadata of playing equipment, generate message records according to the metadata and send the message records to record nodes; the record nodes temporarily store the received message records and synchronize the message records received by the record nodes; one of all record nodes is selected to obtain block account right; the record node which obtains the block account right is temporarily stored in a new block which is formed by packaging all message records in the record nodes and is stored in the block chain; and statistical clients obtain blocks which are obtained from the block chain and count the audience ratings according to the message records in the blocks. According to the statistical method and system for the audience ratings based on the block chain, statistics of the audience ratings can be can be realized at low price in a way of collecting ratings data from different viewing channels in the whole network based on the advantages of the block chain, and the real and accurate ratings data can be obtained.

The invention provides a digital dynamic calibration system for an electric vortex sensor, which is for calibrating dynamically an electric vortex sensor, and is essentially comprises a hi-speed motor, a magnetic bearing system, a dynamic calibrating disc, an A/D conversion chip, a FPGA chip, a USB bus and an up-level unit. The magnetic bearing system, in conjunction with the hi-speed motor, drives the dynamic calibrating disc to rotate at high speed, generate hi-frequency excitation signals to be input to the sensor to be measured. A photoelectric sensor senses the reference position on the dynamic calibrating disc, generates a reference pulse signal for triggering the A/D conversion chip controlled by the FPGA chip to carry out data sampling of the output signals from the sensor, which first go through A/D conversion by the A/D conversion chip, then are sent into the FPGA chip for data acquisition and processing, sent to the up-level unit through the USB bus; finally the indexes on the dynamic frequency of the electric vortex sensor are got. The invention is especially applicable for the dynamic calibration of the electric vortex sensors used in maglev systems.

The invention discloses a real time identifying method for line loss transaction of a power distribution network, comprising: building a power network model through extracting PMS system data, collecting the states of a interconnection switch and a section switch in real time, identifying the operation mode of the power distribution network, obtaining the operation data of a circuit gate and a distribution transform gate in real time, calculating statistic line loss, calculating theoretical line loss combining network parameters and gate data, comparing the difference value of the statistic line loss and the theoretical line loss, positioning an abnormal region, identifying the line loss transaction, realizing abnormal region identification, abnormal factor analysis and targeted treatment. Through obtaining the operation information and data of the power network in real time, calculating the statistic line and theoretical line loss and positioning the abnormal region according to the difference value, the invention overcomes the defects at the present stage that information is incomplete and not visual in analyzing the line loss transaction, no theoretical value is taken as the reference in analyzing the line loss transaction, and the obtained analyzing result lags behind seriously.

The invention discloses a method for testing asphalt concrete pavement stress-strain and the special test system thereof, which belongs to the research field of asphalt concrete pavement structural performance, the characteristic of the invention resides in that: concrete precast block containing stress-strain sensor is buried in test pavement for collecting pavement response data. Compared with prior art, the invention asphalt concrete pavement stress-strain test method and the special test system thereof have advantages of high sensor survival rate, accuracy measurement and so on, which can be applied in the attenuation discipline test research of pavement structure and material property under the action of traffic and natural environment.

The invention discloses a silicon micro-resonant accelerometer online temperature compensation method based on resonant frequency. A monotonic change relation curve of the square of two resonant beam resonant frequency and the resonant frequency difference is calibrated under the condition of zero acceleration, then the two resonant beam resonant frequency and the resonant frequency difference are measured under the condition of inputting acceleration, and the resonant frequency difference caused by the temperature is subtracted from the measured resonant frequency difference through combination of the previously obtained relation curve so that the temperature compensation work is completed. According to the silicon micro-resonant accelerometer temperature compensation method, the defect of large deviation of the compensation result caused by the uncertainty of temperature field distribution and thermal conduction delay of the conventional direct temperature compensation method can be overcome, and real-time and high-precision temperature compensation can be realized. The method is low in temperature compensation cost, and the whole scheme is realized based on the FPGA through the existing circuit devices without additional arrangement of sensors or introduction of other equipment.

The invention discloses a method for identifying resistance to a bacterial wilt disease of mulberry. The method comprises the steps of: inoculating damaged roots into bacterial wilt pathogenic bacteria liquid after planting different resistant varieties or strains of mulberry seedlings with certain seedling age to be identified, a disease-resistance control mulberry seedling and a disease-susceptibility control mulberry seedling indoors by water, controlling epidemic factors, then investigating disease incidence and evaluating the resistance according to a resistance evaluation standard to obtain mulberry varieties and strains with different disease resistances. The method has the advantages of simplicity in operation, accurate and reliable result and good repeatability, and has great application potential in the aspects such as identifying of resistance to bacterial wilt disease of the mulberry, evaluating of a disease-resistant resource, screening of a disease-resistant breeding material and the like.

The invention belongs to a video and image processing technique and particularly relates to a method for improving particle filter tracking effect. In the method, the probability redistribution of particles at a moment t is performed by computing the moving speed of a tracked target at a moment t-1 so as to make sure that the particles can be converged to an optimal position; and comparing the quadratic sum of the gray level difference of a particle tracking result position with the quadratic sum of the gray level difference of an area taking an input position at the moment t-1 as a center, wherein the position with the smallest quadratic sum of the gray level difference is used as the output result of the new position of the tracked target, the tracking stability is ensured, and a drawback of the left and right or up and down fluctuation of the tracking result in target tracking of the conventional method is overcome.

The invention relates to a non-destructive testing technology of polyethylene pipeline hot-melt butt joint and aims to provide an ultrasonic detection device and method for PA-TOFD combined polyethylene pipeline hot-melt butt joint. The ultrasonic detection device comprises a circumferential scanning track which is arranged on a polyethylene pipeline; the circumferential scanning track is providedwith a circumferential scanning device; one end of the connecting rod is fixed on the top of the circumferential scanning device, and the other end of the connecting rod is respectively provided witha phased array probe and a single crystal straight probe through a probe holder; the two probes are positioned on two sides of the hot-melt butt joint of the polyethylene pipeline, and a gap is maintained between the end part of the probe and the polyethylene pipeline. The ultrasonic detector has two detection functions of ultrasonic phase control detection and TOFD detection, and the phased array probe is used as an acoustic wave transmitting probe for ultrasonic phased array detection and TOFD detection. And the two detection results are synchronously displayed in real time. The method overcomes the defects that the traditional pulse-type ultrasonic detection technology is not intuitive, the data cannot be recorded and stored, and the defects of precise positioning and quantification are difficult to be made.

The invention discloses multi-parameter water quality monitoring system and method and their application.The system comprises at least one remote monitor center and at least one monitor point, each monitor point being provided with at least one monitor sensor and at least one data acquisition system; each monitor sensor at each monitor point comprises an online residual chlorine analyzer, an online turbidity analyzer and an online digital PH meter, employs digital output and is in data transmission directly with the data acquisition systems at the monitor point; all the data acquisition systems are in data transmission with the remote monitor centers in a wireless manner; each monitor sensor is fitted respectively in a flow tank in communication with a sampling line.Water quality of the monitor points can be automatically detected in real time, detection data can be acquired and transmitted in real time, it is possible for management staff to check out the detection data in real time through the remote monitor centers, and the defect that an existing water quality monitoring method requires manpower to perform sampling detection at each monitor point, leading to low accuracy and lagging of results, is overcome.

The invention discloses a method for determination of molybdenum trioxide and/or tungsten trioxide content of high-molybdenum tungsten ore. The method comprises the following steps of 1, dissolving a sample by hydrochloric acid, nitric acid and perchloric acid in the presence of a small amount of ammonium fluoride so that tungsten is separated out in a form of tungstic acid and a part of molybdenum is separated out in a form of molybdic acid, 2, carrying out filtration so that tungsten and molybdenum are separated from a large proportion of coexistence elements, dissolving the tungstic acid and the molybdic acid by ammonia water, carrying out drying and calcination of the filtrate, removing silicon by hydrofluoric acid, carrying out calcination, and weighing the total amount of tungsten trioxide and molybdenum trioxide, 3, dissolving tungsten trioxide and molybdenum trioxide by sodium hydroxide, determining the amount of molybdenum trioxide by a thiocyanate absorption photometry method, and 4, determining mass fractions of tungsten trioxide in the residues and the filtrate by the thiocyanate absorption photometry method, and carrying out result correction. The method solves the problem that because of molybdenum influence, the conventional tungsten trioxide analysis method produces content determination values higher or lower an actual value and is unstable. The method is simple and feasible and realizes accurate and stable analysis and detection of molybdenum trioxide and/or tungsten trioxide content of high-molybdenum tungsten ore.

The invention discloses a three-in-one photoelectric probe suitable for an impact and detonation experiment. The photoelectric probe consists of a self-focusing rod, a copper sleeve, an optical fiber and a copper conductive wire, and can be used for achieving the functions of a laser Doppler velocity measurement probe (PDV probe), an optical fiber probe needle and an electric probe needle at the same time. The probe disclosed by the invention is suitable for velocity continuous measurement and arrival time measurement of fly layer front-interface micro-spray particles and a main body in the impact and detonation experiment, and can be used for achieving simultaneous comparison measurement of laser interference velocity measurement, the optical fiber probe needle and the electric probe needle. The three-in-one photoelectric probe can be applied to the field of studies on high-pressure physical characteristics of materials, and has wide application prospects in the field of studies on shock wave physics, detonation physics, hydrodynamics and the like.

The embodiment of the invention provides a cattle illness data analysis method and device. The method concretely comprises the following steps: obtaining state index data representing cattle health states; selecting sample data, performing sample training of selected sample data according to an initialized cost matrix based on illness classification in advance and a multi-classification Bayesian process classifier based on cost sensibility, and obtaining the illness classification model of training samples; and according to the obtained state index data, the cost matrix and the training model, calculating the illness classification probability of the cattle to be detected and outputting the illness classification probability of the cattle to be detected. The method provided by the embodiment of the invention provides a cost-sensitive multi-classification Bayesian and Gaussian process to process the calculation of the illness classification probability of cattle, perform calculation of the state index states of the cattle and output a plurality of illness classification probabilities, and misjudgement cost factors are added to overcome the defects that a current discriminating method only can obtain general low misjudgement rate and only can output single classification results.

The invention provides a novel codebook design method based on an ant colony clustering and genetic algorithm. The method includes the following steps: step one, training data are distributed in two-dimensional spaces of different dimensions randomly by using ants of different numbers, and an LF algorithm is adopted to perform generation of initial clustering; step two, clustering correction performed by the initial clustering according to the dimension of a codebook guarantees that the clustering number is the same as initial setup codebook dimensions; step three, under the premise that initial population is obtained successfully, individual selection, intersection and mutation operation are performed according to the basic procedure of a genetic algorithm until iteration is stopped and an optimal individual meeting requirements is obtained. The novel codebook design method based on the ant colony clustering and genetic algorithm overcomes the defect that correlation of initial selection and final design results is strong in an LBG algorithm, meanwhile, prevents similar LBG algorithm from getting into the inferior position of local optimum, and is suitable for the fields of large quantity processing, voice communication, mode recognition, internet protocol (IP) telephony and the like.

The invention discloses an automatic testing device for speech right management function in a trunking system, which is connected with a speech right management function module of the trunking system; the speech right management function module and the automatic testing device are both connected with all testing terminals; and the automatic testing device is used for controlling the speech right application operation of all the testing terminals, calculating simulated speech right status of all the testing terminals according to speech right management rules, comparing the simulated speech right status with the speech right status of all the testing terminals output by the speech right management function module, and judging the performance of the speech right management function module. The invention can control a great amount of terminals to repeatedly carry out different speech right application operation by testing scripts in a testing system, and automatically collect speech right management result by the testing device and judge the accuracy thereof, and overcomes the problems of complicated manual operation and incapability of visually observing the speech right management result of a great amount of terminals, thus testing the stability of speech right management function under certain telephone traffic pressure through the simple and convenient method, improving testing efficiency and reducing testing cost.

The invention provides a clustering method for unsupervised learning of Chinese comments, a computer program product and a server system, and the clustering method comprises the steps: obtaining comment data, and sorting to obtain a corpus; preprocessing the comment content information in the corpus, and carrying out word segmentation and word vector training; extracting candidate tags; performingduplicate removal processing on the candidate tag library; carrying out sentiment word filtering on the candidate tags subjected to duplicate removal; carrying out DBSCAN-based clustering operation on the candidate tags without the invalid tags to obtain the magnitude of all the candidate tags, and carrying out descending order arrangement on clustering results according to the number; and finally, counting each clustering magnitude, and outputting TopN. According to the method, the clustering mode based on unsupervised learning is provided, the problem that a comment result is difficult to objectively express through an existing label clustering method is solved, autonomous and unsupervised extraction and learning can be carried out according to comments and the actual content of labels,and the clustering result which reflects the real comment result more objectively is provided.

The invention provides an automatic ship route planning method based on an adaptive triangulation network, and belongs to the technical field of marine surveying and mapping. The method comprises the following steps of: reading a navigation obstructing area data set based on data fusion of a plurality of nautical charts; extracting a space filling point set in the electronic chart data; constructing a constraint triangulation network according to the space filling point set and the data boundary of the navigation obstructing area; adaptively adjusting the constraint triangulation network according to an adjustment index; on the basis of the constraint triangulation network, generating a network diagram by taking the real spherical distance as a weight; preliminarily planning a route between a starting point and an ending point by using an improved bidirectional A * algorithm based on the network diagram; smoothing and optimizing the preliminary planning result, and controlling the voyage error; and outputting all waypoints, and generating a planned route. According to the method, the defect that the current automatic ship route planning cannot give consideration to the leakproofness and the calculation efficiency is overcome, and the existing experiment shows that the method can greatly shorten the time for automatic route planning on the basis of ensuring the controllable route voyage error.

The invention relates to a dynamic conductivity testing device for oil-water mixture and usage thereof. The device comprises a test section, a fluid controller, a circulating pump, a test liquid storage tank and a test liquid circulating pump, wherein one end of the test section is connected with the fluid controller while the other end is connected with the test liquid storage tank, the fluid controller is connected with the test liquid storage tank through the test liquid circulating pump, the top of the test liquid storage tank is provide with an air inlet and an air outlet, the bottom of the test liquid storage tank is provided with a test liquid outlet and a waste test liquid outlet and a stirrer is arranged inside the test liquid storage tank. The device overcomes the problems that when an existing static conductivity testing method is applied to testing the conductivity of the oil-water mixture, the liquid is layering, test conditions are greatly different from actual working conditions, reproducibility of measuring results is poor and the like; the oil-water mixture is prevented from being layering in standing, and the test conditions are closer to the actual working conditions; the dynamic conductivity testing device has the advantages of stable test conditions which are also closer to the actual working conditions, and being capable of achieving a dynamic test on conductivity of the oil-water mixture.

An intelligent electric energy management method and a management system thereof are provided. The intelligent electric energy management method includes an acquisition step for acquiring electric energy monitoring data of a user, a processing step for making a statistical analysis of the electric energy monitoring data to obtain an electric energy quality scoring result, a generation step for generating a power consumption evaluation report based on the electric energy quality scoring result, a response step for responding to an operation instruction of the user, and an output step for outputting the power consumption evaluation report to the user. Because the electric energy monitoring data of users is acquired and analyzed in real time by a service platform, the inconvenience of the user's self-access to the electric energy monitoring data is avoided, and convenience is brought for users to be accurately informed of their own power consumption status. In addition, users can conveniently improve their own power consumption condition according to the qualitative analysis opinions in the report, the problems of poor readability, lack of pertinence and no analysis result in a traditional report can be overcome, and high-level value-added services can be provided for users in intelligent electric energy management.

The invention discloses a method for measuring tungsten trioxide contentof high-impurity tungstate. The method comprises the following steps: S1, co-decomposing a test sample with a small amount ofNaOH solution and hydrogen peroxide; S2, adding a precipitant for precipitating tungsten; S3, performing firing and weighing after filtering and washing; transferring residue obtained in the S1 and filtering paper into an iron crucible, placing the iron crucible on an electric burner for drying and ashing, cooling,adding sodium peroxide into a high-temperature burner for smelting to red and transparent, taking the mixture out, cooling slightly, pouring filtrate prepared in the step S3 into an original beaker in order to leach molten objects with the filtrate, leaching the molten objects out of the crucible with water, cooling, transferring into a volumetric flask, fixing the volume with water, mixing uniformly, standing for clarifying or dry filtering; transferring supernatant or filtrate, measuring tungsten trioxide content according to a thiocyanate method, and calculating the result. By adopting the method, the defect of remarkably high and unstable measuring result for the tungsten due to high impurity in the conventional tungstate analysis method is overcome.The method is simple, feasible, accurate and stable.

The invention provides a device and a method for testing hot plugging of an interface. A test device comprises a first capacitor, a second capacitor and a testing wire, wherein the first and second capacitors are connected in series between a live wire and a naught wire; and one end of the testing wire is connected between the first capacitor and the second capacitor, while the other end is connected with a pin of the interface to be tested. The test device with the structure can perform a hot plugging test of a signal wire of the interface to be tested under the maximum hot plugging energy and achieves a correct test result, high test efficiency and low test cost, so the problems of high randomness in the test result and incorrect test result existing in the prior art are solved.

The invention discloses a water granulated slag XRF quantitative analysis method. Firstly an X fluorescent spectrometry is adopted to detect systematic element content of a standard water granulated slag sample to build the standard curve of the element content and the element X fluorescence intensity, then water granulated slag samples with different water contents are prepared, the X fluorescentspectrometry is adopted to detect the element feature X fluorescence intensity and the background noise intensity in the samples, meanwhile, a moisture analyzer is utilized for detecting and calculating the water contents of the samples, accordingly the relation between the water content and the element X fluorescence intensity and the relation between the water content and the background noise intensity in the calibrated sample are obtained, and a water content modified model of the relation between the background intensity and the element feature X fluorescence intensity based on differentwater contents is built; and a water granulated slag XRF quantitative analysis model is finally obtained by combining the calibration curve and the water content modified model. The quantitative analysis method overcomes the defects of influences of the water content when the water granulated slag element content is analyzed by using the X fluorescent spectrometry and being difficult to obtain thesample water content.

The invention relates to a method for inhibiting temperature drift of a switching power supply. The method comprises the following steps: S1, performing decomposition on the output voltage of the switching power supply by introducing a wavelet analysis method based on the randomness of the output voltage of the switching power supply; S2, performing training and prediction on the decomposed signalby using a least square support vector machine so as to obtain a prediction value of the output voltage; S3, analyzing the error of the prediction value and modifying the prediction result to obtainthe modified prediction value; and S4, performing temperature drift compensation on the switching power supply by adjusting the duty ratio based on the modified prediction value. By using the method disclosed by the invention, the temperature drift can be fast and accurately compensated in real time, and the method has the features of being high in prediction precision and well in adaptivity.

The invention relates to a method, a device and equipment for detecting vulnerability of a smart contract. The method comprises the following steps: acquiring a to-be-detected contract file; obtaininga logic expression corresponding to each terminal node in the to-be-detected contract file according to the operation logic of the executable code in the to-be-detected contract file; detecting eachlogic expression to obtain a detection result; and judging whether the contract file to be detected has a vulnerability or not based on the detection result. According to the method, the logic relationship in the to-be-detected contract file can be detected, and known or unknown vulnerabilities in the to-be-detected contract file can be detected without depending on known vulnerability feature information, so that the detection accuracy during detection of the vulnerabilities of the to-be-detected contract file can be improved, and various vulnerabilities can be detected, so the working efficiency is improved.

The invention discloses an accurate leveling method for a three-point supporting precision measurement rotary table, and belongs to the technical field of leveling of precision measurement rotary tables. According to leveling references of different sizes and different types, the adjustment proportion relation of the rotary table can be determined through geometric solution or trial adjustment, the morphology error of the reference surface is obtained through least square method fitting, then the adjustment amount of two adjustable supporting points is obtained through accurate calculation incombination with bounce data of the supporting points, and leveling work is guided to be carried out rapidly. The method covers two conditions of an end surface reference and a double-radial-surface combined reference, and guidance can be provided for leveling work more comprehensively. The mutual influence relation of the adjusting processes of the two adjustable supporting points is effectivelyconsidered, the adjusting amount of the precision three-point supporting rotary table is determined through quantitative calculation, the number of times of repeated adjusting can be greatly reduced,and leveling work is faster. The influence of the shape error of the reference surface is considered in the calculation process, so that the leveling result is more accurate.

The invention discloses a food risk comprehensive evaluation method based on an improved matter-element extension model. The method comprises steps of firstly constructing a food risk evaluation matter element in combination with a matter-element extension theory, and selecting a correlation function suitable for the food field to calculate the single-index correlation degree of each evaluation index and each risk grade; secondly, the optimal weight of each evaluation index being calculated based on the optimal and worst method in combination with expert evaluation, the food risk grade being determined through the comprehensive correlation degree between the evaluation indexes and the evaluation grade, and the food risk being rapidly and comprehensively evaluated. According to the method, problems of incompatibility of a traditional food risk evaluation system and relatively high weight subjectivity, high evaluation result distortion degree, low evaluation efficiency and the like caused by relatively many qualitative components in an evaluation method are solved, and the risk of food pollution can be comprehensively evaluated.

The invention relates to the technical field of rail transit, and provides a rail transit station classification method and device, computer equipment and a computer readable storage medium. The method comprises the following steps: acquiring a plurality of to-be-classified rail transit stations and station attribute information corresponding to each rail transit station; according to the station attribute information corresponding to each rail transit station, clustering the plurality of rail transit stations to obtain a plurality of clustering sets; for each clustering set, determining category attributes of the clustering set according to station attribute information of the rail transit stations in the clustering set; and according to the category attributes respectively corresponding to the plurality of clustering sets, determining categories respectively corresponding to the plurality of rail transit stations. According to the method, the accuracy and rationality of classification of the rail transit stations can be improved, and technical support is provided for design of the urban rail transit stations and the surroundings of the urban rail transit stations.

The invention discloses a basic public sports service equalization construction comprehensive evaluation system, which comprises a data import module used for importing basic evaluation data, an analysis processing module which is used for matching each data field in the basic evaluation data into a corresponding evaluation index, calculating an index value corresponding to each evaluation index based on the basic evaluation data, and obtaining an analysis processing result, a service equalization evaluation module which is used for carrying out comprehensive evaluation on the public sports service equalization construction condition based on the analysis processing result to obtain a comprehensive evaluation result, a planning development evaluation module which is used for carrying out compliance evaluation on whether the equalized construction of the public sports service is compliant or not based on the analysis processing result or the comprehensive evaluation result to obtain a compliance evaluation result, and a result output module which is used for outputting an analysis processing result, and/or a comprehensive evaluation result, and/or a compliance evaluation result. Thebasic public sports service equalization construction comprehensive evaluation system realizes automatic evaluation of the equalized development status of the public sports service.

The invention discloses a novel coronavirus antigen detection kit and a preparation method thereof. The novel coronavirus antigen detection kit is composed of a card shell and a test strip located in the card shell, the test strip is composed of a bottom plate (1), a sample pad (2), a colloidal gold pad (3), a nitrocellulose membrane (4) and water absorption filter paper (5), and the sample pad (2), the colloidal gold pad (3), the nitrocellulose membrane (4) and the water absorption filter paper (5) are sequentially pasted on the bottom plate (1) from bottom to top. A test line T line (41) is arranged on the side, close to the colloidal gold pad (3), of the nitrocellulose membrane (4), and a quality control line C line (42) is arranged on the side, close to the water absorption filter paper (5), of the nitrocellulose membrane (4). The kit can directly detect whether a sample contains the novel coronavirus or not, and can be used for early diagnosis of diseases; nucleic acid detection is effectively assisted, and an effective scientific weapon is provided for the global combat for resisting epidemic situations.

The invention discloses a portable microscope with a movable lens, which comprises a main body bracket, an objective table and a digital product with a camera; the main body bracket comprises a base and a top plate, and the objective table is arranged between the base and the top plate in a manner of moving up and down; a strip-shaped through groove is formed in the top plate, a movable lens block capable of sliding in the length direction of the strip-shaped through groove is arranged in the strip-shaped through groove, and a lens is arranged on the movable lens block; a digital product is placed on the upper surface of the top plate, so that a camera of the digital product can be aligned with the lens. The portable microscope overcomes the defects that a traditional microscope is large in size, inconvenient to carry, small in magnification times, inconvenient to observe, incapable of storing observation results and the like, can be suitable for digital products of different specifications through movement of the lens, and is wide in application range.