229results about How to "Avoid the influence of subjective factors" patented technology

The invention discloses an electrochemiluminescence sensor for detecting trace pesticide residue and a method for detecting pesticide residue. An electrode preparation method (figure attached) comprises the following steps: selecting an identifier of the pesticide residue; preparing quantum dots and graphene nano material according to documents; and modifying the nano material, the quantum dots and the identifier onto the electrode surface of the sensor by the electrode surface modification technology. The method for detecting the trace pesticide residue comprises the following steps: connecting the modified electrode to an electrochemiluminescence instrument and detecting the pesticide residue in the sample extract. The electrode in the invention has high specificity and sensitivity capable of reaching ng level, a basic detection process is finished only within 3-5 min, and the cost is low. The method for detecting the pesticide residue by utilizing the electrode is fast and simple to operate, and the reaction is automatically finished and the result is automatically recorded by an apparatus.

The invention discloses a method for detecting an electrode of a molecular imprinting membrane of EDCs and the EDCs; the preparing method of the molecular imprinting membrane electrode comprises the following steps: a functional monomer is selected; template molecule of the EDCs, the functional monomer, a crosslinker, a porosity-making agent, an initiating agent and organic solvent are mixed evenly according to a certain molar ratio so as to prepare MIPs solution; nanometer material solution is prepared; the nanometer material and molecular imprinting polymer MIPs are modified on the surface of the electrode of a sensor by using the electrode surface modifying technology; a method for detecting trace amount of the EDCs comprises the following steps: the electrode of the molecular imprinting membrane is connected with an electrochemical working station and detects the EDCs in the environment sample extract; the electrode of the molecular imprinting membrane of the invention has strong specificity and high sensitivity which can reach ng level; a basic detection process is completed by only 1 to 2 minutes; the cost is low and the detection of one sample needs only a plurality of cents; the method for detecting the secretion in the environment by the electrode of the molecular imprinting membrane has fast and simple operation and the reaction and result are completed and recorded automatically by instruments.

The invention discloses a user abnormal behavior detection method based on neural network clustering. The method comprises: firstly, performing SVD decomposition and denoising on a behavior data set matrix of a user, and inputting the denoised matrix to an input layer of a neural network, and then calculating weight of all attributes of each user in a hidden layer of the neural network, and standardizing the weight, outputting the weight in an output layer, and finally respectively calculating similarity value of each user and each user in a normal behavior model database and a threshold value, if the similarity value is larger than the threshold value, behavior being abnormal behavior, and carrying out corresponding prompt and precautionary measures, otherwise, the behavior being normal behavior, and combining the behavior in the normal model database to upgrade the database in real time. Through cooperation of each part, the method effectively realizes high detection rate and low false alarm rate.

The invention discloses a quantum dot molecular imprinting microsphere quartz fluorescent sensor for detecting multicomponent food additives simultaneously and a method for detecting the food additives by the quantum dot molecular imprinting microsphere quartz fluorescent sensor. A method for preparing a quantum dot molecular imprinting microsphere comb quartz plate comprises the following steps of: selecting functional monomers corresponding to the food additives; preparing quantum dots and preparing quantum dot molecular imprinting microspheres according to the literature; and modifying thesurfaces of different probes of the comb quartz plate with the imprinting microspheres of different food additives by utilizing layer-upon-layer accumulated surface modification technology. The method for detecting the trace multicomponent food additives simultaneously (which is shown as the figure) comprises the following steps of: immersing the modified quartz plate into simply-pulpified food solution, arranging the quartz plate on a sealing quartz vessel, and detecting the food additives in a sample. The quantum dot molecular imprinting microsphere quartz fluorescent sensor has high specificity and sensitivity, short detection time and low cost; and in a method for detecting pesticide residues by fluorescent light, the operation is simple and quick, and reactions and results are completed and recorded automatically by instruments.

The invention discloses a molecular imprinting electroluminescent sensor for detecting veterinary drug residue by taking a battery as power and a method for detecting veterinary drug residue. A preparation method of an electrode (a schematic diagram is shown in the figure) comprises the following steps of: preparing MIP (Molecularly Imprinted Polymer)s sol of the veterinary drug residue; preparing a carbon dot and preparing a graphene nano material according to documents; and modifying graphene, the carbon dot and the MIPs sol onto the surface of the electrode of the sensor. The method for detecting the trace veterinary drug residue comprises the following steps of: connecting the modified electrode to an electrogenerated chemiluminescence instrument, and detecting the veterinary drug residue in a sample extract by taking the battery as the power. The molecular imprinting electroluminescent sensor disclosed by the invention has the advantages that the specificity of the electrode is strong and the sensitivity is high and can be up to a ng grade; only 3-5 minutes are spent on a basic detection process; and the cost is low. The method for detecting the veterinary drug residue by adopting the electrode is quick and easy to operate, the reaction is automatically completed by instruments and results are automatically recorded by the instruments.

The invention discloses a Chinese composition automatic testing method and system. The method includes: step A: input the corpus of the composition text to be evaluated, and preprocess the corpus of the composition text to be evaluated; Extracting subject content features, organizational structure features, and language expression features; Step C: Calculate the extracted subject content features, organizational structure features, and language expression features with scoring equations to obtain automatic scoring results for Chinese compositions. The invention reduces the input of manpower and material resources in the large-scale Chinese composition proficiency test, and realizes the objectification of scoring.

The invention provides an endocrine interferent molecularly imprinted membrane substrate in a trace environment with rapid detection speed and high sensitivity, the preparation method and the application thereof. The molecularly imprinted membrane substrate comprises a gold quartz crystal substrate, and multi-layer nano-materials that alternate with each other and environmental endocrine interferent molecularly imprinted polymer are formed on the surface of the gold quartz crystal substrate. The preparation method comprises the following steps: selecting functional monomer that can be synthesized with the environmental endocrine interferent into the molecularly imprinted polymer; preparing the molecularly imprinted polymer solution; and modifying the nano-material and the molecularly imprinted polymer on the surface of the gold quartz crystal substrate. The invention applies the surface modification technology to the preparation of the molecularly imprinted membrane substrate, so as to allow the controllability over the preparation of the nano-scale synergetic EDCs molecularly imprinted membrane substrate. A method for detecting the environmental endocrine is rapid and simple, and the reaction and the result are automatically recorded and completed by an instrument with good repeatability, thereby facilitating the on-site detection.

The invention discloses a process for preparing a trace amount mycotoxin molecular imprinted column, which comprises the following steps of: selecting a functional monomer; evenly mixing a mycotoxin template molecule, the functional monomer, a cross-linking agent, a pore-forming agent, an initiator and an organic solvent by a certain molar ratio to prepare a molecular imprinting polymer solution; preparing a nano-solution; and dressing the nano-material and a molecular imprinting polymer on the internal surface of a glass pipe column. A method for detecting the trace amount mycotoxins includes: pumping a chemiluminescence system solution and a sample solution into a chemiluminescence analyzer respectively and detecting the mycotoxins in the sample. The molecular imprinted column of the invention has advantages of high sensitivity and accuracy. The nano-enhanced trace amount mycotoxin molecular imprinted column obtained in the invention is connected to the chemiluminescence analyzer for detecting mycotoxins, and purposes of high specificity, high sensitivity and fast detection to mycotoxins in the sample can be realized.

The invention relates to a continuous monitoring method and device for the turbidity of a water body, which are suitable for underwater long-period water quality monitoring. Starting from the aspect of invariable light intensity received by a sensor, by adjusting the distance between a light source and the sensor or the emitted light intensity of the light source, the method can calculate the turbidity of the water body based on a Beer-Lambert law. The device basically comprises the light source, a light intensity sensor, a single chip microcomputer, a slide rod, a light source moving mechanism (or a light intensity sensor moving mechanism), a wireless signal transmitter, a wireless signal receiver and a data processing system. The device can be put into the wild water body for long time to continuously determine the turbidity of the water body; in a determination process, the position of the light source or the sensor, and the intensity of the light source can be adjusted in real time according to the change of the turbidity of the water body; a relation between the turbidity value of the water body and the measuring distance, and a relation between the turbidity value of the water body and the intensity of the light source are utilized to carry out long-time field monitoring on the turbidity of the water body, so as to really reflect an actual change condition of the water body; a monitoring process is accurate and reasonable.

The invention discloses a content extraction method based on keyword matching. Keywords in a webpage source code Keywords label are counted, a standard library is built according to the keywords, and a corresponding DOM tree is built; hierarchical traversal is conducted on the DOM tree, the number of keywords contained in all nodes of the DOM trees is counted, the keyword weights of the nodes are calculated according to the ratio relation between the keyword number of the nodes and the keyword number of father nodes of the nodes, the content node containing a content text is effectively screened out and positioned by judging the maximum keyword weight of node children, and content extraction is completed; and a similarity matching method is proposed in order to solve the problem that a short text cannot be effectively extracted through a keyword matching method, and according to the similarity matching method, paragraph texts and page titles are converted into 8-bit binary data, the similarity is judged according to the Hamming distance, and content extraction of the short text is achieved. According to the content extraction method, matching is conducted according to the keywords set in a webpage, neither data training nor sample learning is needed, and the method is out of limitation of a website structure and has the good universality.

The invention relates to a method for evaluating damage degree of hinge joints of plate girder bridges. Shear force and rigidity of a hinge joint are obtained according to information such as load size, position, actually-measured plate girder defection and the like in a bridge static loading test by means of the relation among the hinge joint relative displacement, the hinge joint shear force and the high joint rigidity. A hinge joint force transmission capacity index lambda I and a hinge joint rigidity ratio index lambda i are defined, and corresponding method for evaluating damage degree of the hinge joint is provided. When the lambda I>=0.95 or the lambda i>=20, the hinge joint is determined to be perfect; when the lambda I<=0.9 or the lambda i<=10, the hinge joint is damaged and supposed to be reworked; and when 0.9<lambda I<0.95 or 10<lambda i<20, the hinge joint is damaged and supposed to be maintained instead of being reworked. The method automatically gives consideration to the interaction among the hinge joint shear force, multiple loads and eccentricity of the loads, is applicable to automobile loading, and can provide optimal estimation values of rigidity parameters of multiple tests. Further, using the method can quantitatively judge the damage degree of the hinge joint and avoid influences of subjective factors.

The invention provides a drift fault recognition method of hot-rolling strip steel based on sound signals. The method comprises the following steps of: preprocessing a signal by combining the features of a hot-rolling production line and adopting a resampling and framing technology, carrying out feature extraction on the signal by adopting a Mel frequency cepstrum technology and carrying out feature selection and recognition by adopting a principal component analysis method and a multivariate statistic process T2 control diagram so as to realize the diagnosis of drift faults of the hot-rolling strip steel. The invention has the advantages that the drift phenomenon can be judged accurately and rapidly on line by utilizing an acoustic detection method, the roller replacement time can be reasonably arranged, the roller consumption can be effectively reduced, the production cost can be controlled, and the quality defect prevention capacity and the production operability of the product can be improved.

This invention provides one image test method and fault diagnose system, wherein, the method comprises the following steps: getting step to get multiple original data; training steps for original data to optimizing prediction mode system parameter; predicting by use of prediction module. This invention method and system can realize early detecting for machine faults.

The embodiment of the invention discloses a risk assessment report generation method and device, equipment and a storage medium. The method comprises the steps of determining a business scene classification of a target object according to the target object and a report purpose; obtaining interaction data of the target object based on the business scene classification; extracting risk data with risk characteristics from the interactive data; determining a risk assessment model corresponding to the business scene classification, and processing the risk data through the risk assessment model to obtain a risk conclusion of the target object; and filling the structured template corresponding to the business scene classification through the risk data and the risk conclusion to obtain a structured report, calling a natural language processing model to process the risk data to generate an unstructured report, and generating a risk assessment report by using the structured report and the unstructured report. The method disclosed by the embodiment of the invention can realize automatic generation of the risk assessment report in different scenes.

The invention discloses a Chinese POI (Point Of Interest) matching method based on natural language understanding, which is used for solving the problem of low Chinese POI matching precision caused byfrequent incomplete Chinese addresses, inconsistent Chinese character expressions and one-word polysemy of multi-source Chinese POI data. According to the method, six similarity measurement characteristics of geometric positions, category structures, POI names and address attributes are integrated and input into the deep neural network to calculate the matching probability, so that the influenceof subjective factors caused by artificial weight allocation is avoided; a natural language understanding technology is introduced to fully consider the semantic relationship between address attributes and name attributes in the similarity calculation process of the six attribute characteristics to overcome the defects of a traditional algorithm; short text similarity calculation is improved by using a neural network of a twin attention mechanism, and POI data accurate matching is achieved in combination with grammar, semantics and spatial similarity calculation.

The invention discloses a molecularly imprinted membrane electrode for detecting forbidden drugs in a weight-reducing health care product and a method for detecting the forbidden drugs. A method for preparing the electrode ( with a schematic diagram shown in an attached figure in the specification) comprises the following steps of: selecting a functional monomer; determining the proportion of a template molecule to the functional monomer to a cross-linking agent to an initiating agent to an organic solvent for synthesizing a molecularly imprinted sol-gel; and modifying the surface of the electrode with a carbon nanotube and the sol-gel by utilizing a layer-upon-layer modifying technology. The method for detecting the trace forbidden drugs in a weight-reducing health care product comprisesthe following steps of connecting the modified electrode to an electrochemical workstation and detecting merchant weight-reducing health care products, merchant weight-reducing foods and merchant weight-reducing drugs. In the invention, the electrode has the advantages of strong specificity, high sensibility and low cost, and can reach an ng level; a basic detecting process can be completed only in 5-10 minutes; the method for electrochemically detecting the forbidden drugs in the weight-reducing health care product can be operated rapidly and simply; and the reaction execution and the resultrecording can be automatically carried out by an instrument.

The invention relates to an electroencephalogram feature selection approach based on a decision-making tree. Firstly, collected multi-channel electroencephalograms are preprocessed; secondly, feature extraction is conducted on the preprocessed electroencephalograms by means of the principal component analysis method to obtain feature vectors; thirdly, the feature vectors obtained after the step of feature extraction is conducted are input into the decision-making tree, and superior feature selection is conducted; fourthly, superior features selected by the decision-making tree are reassembled; finally, the reassembled superior feature vectors are input into a support vector machine, and electroencephalogram classification is conducted to obtain the classification correct rate. According to the electroencephalogram feature selection approach, the decision-making tree is used for superior feature selection, operation is simple, manual participation is not needed, and time and labor are saved. The decision-making tree is used for superior feature selection, so that influence of subjective factors of people is avoided in a selection process, selection is more objective, and the classification correct rate is higher. Experiments show that the average accuracy is 89.1% by using the approach to conduct electroencephalogram classification and is increased by 0.9% compared with a traditional superior electrode reassembling method.

The invention discloses an electrochemiluminescence immunoassay sensor for detecting a tumor marker. A preparation method of the sensor comprises the following steps: synthesizing polyaniline on conducting glass by an electropolymerization method, preparing g-C3N4, a silver-gold core shell nanosphere or copper oxide or manganese dioxide by the existing method, connecting the g-C3N4 on the polyaniline by 1-(3-dimethylamino propyl)-3-ethylcarbodiimide hydrochloride and N-hydroxysuccinimide mixed solution used as coupling agent, modifying the primary antibody on the prepared conducting glass, coating the surface of zinc oxide by the silver-gold core shell nanosphere, modifying second antibody on the silver-gold core shell nanosphere coating the surface of the zinc oxide, and detecting by electrochemiluminescence. The sensor has strong specificity, high sensitivity, simplicity in operation, wide linearity range and low detection limit.

The invention discloses a novel method for detecting lead ions based on the sensitivity of a DNA-MOF material. The method comprises the following steps: preparing a gold-paper chip working electrode Au-PWE; synthesizing Au-MOF from 5,10,15,20-tetra(4-methoxy phenyl)porphyrin, ferric chloride and nanogold; carrying out functionalization by virtue of GR DNA, so as to synthesize a GR-Au-MOF material; modifying the prepared Au-PWE with HP DNA, and dropwise adding a GR-Au-MOF solution mixed with 3,3',5,5'-tetramethyl benzidine, hydrogen peroxide and a sample solution to HP modified Au-PWE; and connecting the modified chip to an electrochemical working station by virtue of a three-electrode system, and detecting the concentration of lead ions by virtue of a differential pulse voltammetry. The novel method for detecting the lead ions is high in sensitivity and good in selectivity, and the real-time monitoring of samples can be realized.

The invention provides a tunnel lining crack image segmentation method, and belongs to the technical field of image recognition. The method comprises the following steps: firstly, dividing a directlycollected original crack image into a plurality of image blocks, and selecting the image blocks with cracks and corresponding binary images as a training sample set; performing de-mean normalization processing on the image blocks with the cracks in the training sample set; training the training sample set subjected to mean value removal normalization processing by using a convolutional neural network and combining a loss function to obtain a crack segmentation model; and carrying out mean normalization processing on the crack image to be segmented, inputting the crack image to be segmented into the crack segmentation model, and outputting a segmentation result image. According to the method based on the deep convolutional neural network, the image is automatically identified, human intervention is reduced, the influence of subjective factors of a detector is avoided, the identification precision and the identification efficiency are improved, and the false alarm rate is reduced.

The invention provides a product life cycle identification method and device, which can identify life cycle and improve identification accuracy. The method comprises the following steps: obtaining sales data of products in a sales system, and extracting a life cycle pattern set from the data according to a product life cycle pattern extracting method, a product life cycle stage division method and sales curve similarity calculation method; determining the position of life stage of each life cycle pattern in the life cycle pattern set according to the product life cycle stage division method; calculating similarity between a sales curve of a new product and each life cycle pattern according to the sales curve similarity calculation method to obtain a similarity set; serving the life cycle pattern corresponding to the largest similarity in the similarity set as the life cycle pattern of the new product, and recording relative movement position of the sales curve of the new product when the similarity is the largest and the life cycle pattern of the new product; and determining the life cycle of the new product according to the position of life stage of the life cycle pattern of the new product and the relative movement position.

The application discloses a method and device for building a goods object recovery information database and determining value information; the goods object recovery information database building method comprises the following steps: receiving to be recovered goods object recovery information submitted by a first user terminal, wherein the recovery information comprises to be recovered goods object label information and value information, and the value information comprises goods object focusing goods attributes and attribute value information corresponding to each attribute value under each attribute; determining label information of a first user; storing a corresponding relation between the first user label information and recovery information of the to be recovered goods object into the recovery information database, so the corresponding goods object can be assigned to a second user according to the recovery information database, thus determining the goods value information. The method and device can reduce resource wastes caused in a second handed goods object information issuing and transaction process.

The invention discloses a fluorescence nanocrystal quartz fluorescent sensor for molecular identification-based multicomponent simultaneous saccharide detection and a method for detecting saccharides by using the same. The invention provides a preparation method of a molecular identification-based fluorescence nanocrystal comb quartz plate, which comprises the following steps: selecting an identifier corresponding to the saccharides; preparing a fluorescence nanocrystal, and carrying out surface modification on the fluorescence nanocrystal according to the literature; and modifying the modified fluorescence nanocrystal onto surfaces of different probes of the comb quartz plate by using layer-by-layer accumulation surface modification technique. The invention also provides a method for multicomponent simultaneous saccharide detection, which comprises the following steps: immersing the modified quartz plate into a food sample solution which is simply pulpified, installing the quartz plate onto a sealed silica dish, and detecting the saccharides in the sample. The invention has the advantages of strong specificity, high sensitivity, short detection time and low cost. The saccharide fluorescence detection method has a quick and simple operation process, and the reaction and the result are automatically completed and recorded by instruments.

The invention discloses an online measuring device and method for the temperature of large blast furnace molten iron and belongs to the technical field of temperature measurement of blast furnace molten iron. The online measuring device comprises an iron outlet channel, a slag skimmer, a molten iron temperature measuring unit and an information control collector, wherein a temperature measuring mechanism is fixedly connected with the top of the slag skimmer through a temperature measuring support; a rotating part is arranged at the top of the temperature measuring support; the other end of a horizontal telescopic rod is vertically provided with a vertical telescopic air cylinder; a temperature measuring gun is arranged at the tail end of the vertical telescopic air cylinder and is used for installation of a temperature thermocouple; a couple separation part is arranged at the top of the temperature measuring gun; and a thermocouple storage mechanism and a thermocouple fire extinguishing tank are arranged at the top of the slag skimmer. According to the online measuring device and method, the temperature measuring time is determined by calculating the effective tapping time, complicated production conditions that a tapping hole of a blast furnace is blocked, tapping of the tapping hole is suspended, and the blast furnace can not run smoothly are effectively handled, and the influence of subjective factors of operators is avoided, so that the online automatic measurement of the blast furnace molten iron is realized to cope with the complex production conditions.

The invention discloses a preparation method of a voltage-controllable multiplex multichannel sensing paper chip for detecting antibiotic residues by molecular imprinting electroluminescence. The preparation method comprises the following steps of self-preparing a transformer and a multiplexer switch, preparing a multichannel printing electrode on paper, preparing a molecular imprinting (MIPs) sol of antibiotic residues, preparing carbon dots and silicon dioxide pellets coated by the carbon dots, preparing a graphene nano-material, and modifying the surface of the multichannel printing electrode on paper by the graphene nano-material, the silicon dioxide pellets coated by the carbon dots and the MIPs sol by an electrode surface modification technology. The preparation method also comprises the following steps that through the modified multichannel printing electrode, a chemiluminescent analyzer, the transformer and the multiplexer switch, antibiotic residues in sample extract are detected. The voltage-controllable multiplex multichannel sensing paper chip has strong singularity, high sensitivity reaching the ng grade and a low cost, can be operated fast and simply, and realizes automatic reactions and result recording by apparatuses.

The invention discloses a fully-automatic measurement method of plant heights of crops and a device. The method comprises steps of firstly establishing a camera coordinate system, a ground coordinate system and a calibration board plane coordinate system; after establishing a system model, calibrating device parameters in advance, wherein the device parameters comprise inner parameters of a camera, installation parameters of the camera and linear laser plane parameters; acquiring images, and transmitting the acquired images to a control processor through the camera, wherein the control processor controls on and off of a linear laser and processes the images; and according to image processing results and the device parameters, calculating and outputting the plant heights of the crops through the control processor. According to the invention, manual measurement is not required, so subjective factor effects caused by manual measurement are avoided; and non-contact and automatic measurement of the plant heights of the crops can be simply and easily achieved.

The invention discloses an ensemble learning-based type 2 diabetes kidney disease risk assessment system, which comprises a data collection module, an influence index data extraction module and an ensemble learning module, wherein the data collection module acquires a group of clinical index data of a to-be-assessed patient from a hospital database; the influence index data extraction module extracts influence index data from the group of clinical index data acquired by the data collection module; the ensemble learning module inputs the influence index data into an ensemble learning model, andthe ensemble learning model outputs a judgment result about whether the to-be-assessed patient suffers from the type 2 diabetes kidney disease or not. The system can simply, conveniently and valuablyobtain a judgment result of whether the patient suffers from the type 2 diabetes kidney disease or not, is beneficial to screening out high-risk groups with the diabetes kidney disease, helps doctorsto carry out auxiliary diagnosis, and has important significance in early diagnosis, prevention and delay of DKD, reduction of cardiovascular events, increase of the survival rate of the patient andimprovement of the life quality.

The method belongs to the technical field of the intersection of computer technology and military engineering camouflage technology, and relates to a background feature-based camouflage effect detection and calculation method. The method can be used for detecting and calculating the camouflage pretending effect of military targets in various typical background environments. According to the method, the similarity between a target and a background is represented by utilizing four characteristic indexes, including the structure, the color, the texture and the statistics. In order to objectivelyand accurately evaluate the camouflage effect, a fuzzy clustering method is designed, and the weight value of each index is determined by combining the information entropy and the index weight allocation algorithm of statistical characteristics. In this way, the weighted similarity of the target and the background is calculated. The problems of single existing evaluation indexes and the influenceof subjective factors during weight allocation in the prior art can be avoided. Meanwhile, the calculated similarity result of the method is very close to the result of human eye visual observation, and the error between the calculated similarity result and the result of human eye visual observation is less than 5%. Therefore, the detection and evaluation result of the camouflage effect is effectively quantified.

The invention discloses a structural deformation monitoring method based on contour line image stacking difference analysis. The complete image of a structural body is formed by image splicing, and the contour line image of the structural body is acquired by utilizing the complete image; the contour line images acquired in different periods are stacked so that a stacking difference image is formed; and thus relative deformation data of the structural body measured in different periods are acquired. The structural deformation monitoring method is used for detecting and evaluating the safety of a bridge and other structural bodies so that data acquisition time is short, and the structural deformation monitoring method has the advantages of being high in working efficiency and low in cost and can realize high-frequency wide-range bridge safety monitoring and enhance the safety early warning capacity of the bridge and other structural bodies. The structural deformation monitoring method is different from the existing point monitoring method having incompleteness and used for monitoring the bridge and other structural bodies so that all the contour line data of the whole structural body can be rapidly acquired and structural deformation of parts which can be photographed in the images can be acquired through the stacking difference image, and the structural deformation monitoring method is used for evaluating the safety of the structural body and truly and objectively avoiding the influence of artificial subjective factors to the greatest extent.