43results about How to "Overcome precision" patented technology

The invention discloses a river network water pollution tracing method which comprises the following steps: firstly, acquiring river network data, inputting the river network data into MIKE software, constructing a hydrodynamic model of a river network, and verifying the hydrodynamic model; dividing the whole river network into a plurality of river reaches by taking water quality monitoring points as nodes, and inputting river network data corresponding to each river reach into the verified hydrodynamic model to obtain simulation data of each river reach; preprocessing the simulation data of each river reach, inputting the preprocessed simulation data into a gating circulation unit, and constructing a regression model of each river reach; and tracing by using the regression model. According to the method, MIKE software is adopted to simulate the pollutant diffusion condition, so that data supplementation is carried out under the condition that monitoring data is sparse, pollutant tracing is carried out in combination with a regression model, hydrodynamic simulation data is used as input of the regression model, the precision and density of a data set can be improved, and the accuracy and the density of the data set are improved. And accurate positioning of the pollution source and the pollution source parameters is realized.

The invention discloses a wired insulation on-line monitoring method and system based on digital intelligent power supply storage, and the method comprises the steps: firstly collecting and preprocessing a power interference signal, extracting feature information from the signal through a wavelet transform technology, and then carrying out the classification and prediction of a cable insulation state through a Transform model. The method not only can effectively identify the health state, the slight aging state and the severe aging state of the cable, but also is high in detection precision and good in real-time performance, overcomes the problems that an existing monitoring method is insufficient in real-time performance and low in detection precision in a complex electric power environment, and remarkably improves the reliability and efficiency of cable insulation monitoring.

The application relates to a basketball video highlight automatic generation method and system based on multi-modal feature fusion, and belongs to the technical field of computer vision and multimedia intelligent analysis. The method comprises the following steps: S1, extracting and aligning a visual feature sequence and an audio feature sequence; S2, using bidirectional LSTM to perform time sequence coding on the audio-visual feature, constructing a cross-modal attention mechanism taking audio as a query and vision as a key value, and obtaining multi-modal fusion features; S3, inputting the fusion features into a 1D CNN to output a frame-by-frame highlight event probability sequence; S4, performing peak value searching based on an adaptive threshold of the probability sequence to obtain a coarse-grained timestamp; S5, taking the coarse-grained timestamp as a center to intercept local features, inputting the local features into bidirectional LSTM to predict starting and ending offsets, and obtaining accurate start and end time boundaries; and S6, clipping and splicing to generate a highlight video according to the accurate boundaries. The application realizes audio-visual semantic depth alignment through an audio-guided visual attention mechanism, and improves boundary positioning accuracy through a coarse-precision two-stage positioning architecture.

This invention discloses a quantitative test strip for HBV PreS1 antibody based on the AIE molecule, its preparation method, and its applications, relating to the fields of molecular biology, immunology, and biodetection technology. The test strip includes a sample pad, a labeling pad, a nitrocellulose membrane (NC membrane), an absorbent pad, and a base plate. The NC membrane detection line is coated with HBV PreS1 antigen to capture PreS1 antibodies in the sample. The labeling pad contains an immobilized Anti-Human IgG antibody conjugated to the AIE molecule, which binds to the PreS1 antibodies in the sample to form an immune complex. The test strip of this invention enables rapid detection of PreS1 antibodies and achieves enhanced fluorescence in the detection results. Combined with a fluorescence reader or fluorescence card reader, the detection results can be digitally and quantitatively analyzed. It is simple to operate, rapid in detection, and significantly improves detection sensitivity and enables quantitative analysis.

The invention discloses a refrigerant adjusting method, device and system. The method comprises the steps that the current refrigerant temperature difference between the first refrigerant temperature of an inlet of the air-cooled condenser and the second refrigerant temperature of an outlet of the air-cooled condenser is obtained; the current deviation between the current refrigerant temperature difference and the temperature difference reference value is determined; under the condition that the current deviation is not within the first range, a feedback control model based on a real-time error is called, the opening degree of a first adjusting valve is adjusted according to the current deviation, so that the deviation between the adjusted refrigerant temperature difference between the inlet and the outlet of the air-cooled condenser and the temperature difference reference value is within the first range, and the first adjusting valve communicates with the air-cooled condenser; according to the scheme, the fluctuation of the key heat exchange parameter (temperature difference) is actively restrained within a set reasonable range, system performance degradation or operation risks caused by large drifting of parameters are effectively avoided, stable and reliable operation of the whole system is guaranteed, and the technical problem that the operation stability of an evaporation cold and heat pump unit system is low can be solved.

This invention belongs to the interdisciplinary field of artificial intelligence and geological resource assessment, specifically relating to a method and system for predicting the energy storage potential of salt caverns based on multi-source geological information. It aims to address the problems of low prediction accuracy and difficulty in balancing breadth and precision in existing technologies due to single-source data, static models, and lack of adaptive capabilities. The method includes: acquiring multi-source data such as seismic, well logging, core, and geostress data; constructing a geological feature fusion vector containing seven core parameters; establishing a high-dimensional nonlinear mapping model driven by a deep neural network; dynamically adjusting the prediction range based on data coverage density and confidence level; and achieving continuous model iteration through online incremental learning. The system integrates data quality assessment, anomaly handling, and distributed computing modules. By adopting the above technical solutions, this application can achieve a significant improvement in prediction accuracy and adaptive intelligent adjustment of the prediction range.

The invention relates to the technical field of semiconductor detection, discloses a semiconductor image processing method, and particularly relates to an image template matching result evaluation method and system and a readable storage medium. According to the embodiment of the invention, the edge point corresponding to each edge point in the to-be-matched image, namely the edge image, in the template image is constructed, the inner point set of the template image is constructed based on the edge points to serve as the target feature for evaluating the to-be-matched image, and then the point which changes most violently in the inner point set is determined as the optimal edge point. The optimal edge point is used as an optimal point for evaluating the positions of the template image and the image to be matched; based on the edge point position error of the optimal edge point and the matched edge point, the deviation between single point positions is determined, finally, the average deviation of the deviation of the multiple point positions serves as the final deviation between the two images, and evaluation of the accuracy of the matching result is achieved through the deviation.

The invention discloses a quantitative grading method for carbon emission in a production stage of a power transformer. The method comprises the following specific steps: after data are collected, firstly calculating a production link carbon footprint and a product use link carbon footprint of a to-be-evaluated transformer product, and calculating a production carbon efficiency ratio of the to-be-evaluated transformer product on the basis of the production link carbon footprint and the product use link carbon footprint; secondly, through data standardization integration processing, calculating the information entropy and the information utility value of each evaluation index, thereby determining the index weight; and finally, calculating the square value of the weighted mahalanobis distance of the to-be-evaluated product, and substituting the square value into a centesimal system grading algorithm to obtain a product production carbon footprint evaluation score and a corresponding grade. According to the method, the transformer quality parameters, the production stage carbon footprint and the use stage carbon footprint are integrated and unified, a traditional carbon efficiency ratio concept is optimized, multi-dimensional and refined grading of the transformer production stage carbon footprint is achieved, and the defects of an existing method in the aspects of comprehensiveness and accuracy are overcome.

The utility model discloses an alignment mechanism for pole piece detection, include: base plate, and its both ends end face respectively fixedly be equipped with mounting seat, the first slider and the second slider of sliding setting in the mounting seat, the adjusting end of mounting seat is fixedly equipped with first drive assembly, and the output shaft of first drive assembly is connected and drives corresponding slider sliding, the first pivot assembly of fixedly equipped on the first slider and two second pivot assemblies of fixedly equipped on the second slider, be equipped with the alignment plate of center round hole and racecourse type through -hole, first pivot assembly is worn in center round hole, and two second pivot assemblies are respectively worn in the racecourse type through -hole that sets up parallel to the alignment plate length direction, the pole piece detection camera of fixedly equipped in the alignment plate middle part edge position, through the automatic control of first drive assembly and second drive assembly, has realized the automation of alignment process, has improved alignment efficiency and precision greatly.

The invention discloses a stroke emergency identification method and system combining TOPSIS and artificial intelligence, belongs to the technical field of stroke early warning, and solves the problem that the existing method cannot accurately capture facial feature points in an emergency state, resulting in insufficient response speed and accuracy during judgment through a TOPSIS method. Identifying facial parameter information in the preprocessing set based on a multi-view feature positioning model, generating a facial expression identification result, identifying and analyzing the facial expression identification result and the preprocessing set by a stroke analysis model, and calculating a stroke risk level of the patient; according to the method, the stroke analysis model based on TOPSIS and artificial intelligence is pre-constructed, and the stroke analysis model cooperates with the multi-view feature positioning model and the flexible trigger mechanism, so that the stroke analysis model quickly responds to the recognition results of the multi-view feature positioning model and the flexible trigger mechanism; the multi-view feature positioning model can analyze multi-angle face parameter information.

This invention belongs to the field of equipment inspection technology and discloses an intelligent inspection and positioning method and system based on Bluetooth and NFC. The method includes: receiving Bluetooth signals from available Bluetooth devices through an intelligent inspection and positioning terminal, and sorting valid inspection points based on the access time of each Bluetooth signal to generate a time series representing the inspector's movement route, thereby automatically tracking the inspector's movement route; when at least two assigned inspection areas are identified, comparing the number of shared inspection points between different assigned inspection areas with an intersection threshold value to determine key inspection areas or ordinary inspection areas, and then generating an inspection route. This invention reconstructs the inspector's movement route based on the time series of Bluetooth signal access, improving the authenticity and objectivity of the inspector's movement route, and by transforming inspection planning into a dynamic response, improving the overall efficiency and targeting of inspection work.

The invention discloses a compound control method and system for a mechanical arm with a gap joint, and belongs to the technical field of engineering equipment control. Based on a six-degree-of-freedom mechanical arm nonlinear dynamic model containing a gap joint, control boundaries of a collision force feedforward module and a PD feedback module are determined by quantifying a coupling relation between a joint gap and collision force; then a composite control structure of'collision force feedforward compensation-PD feedback tracking 'is built based on the kinetic model, a feedforward module counteracts disturbance of nonlinear collision force on motion of the mechanical arm in advance by collecting joint collision force signals in real time and calculating reverse compensation torque, and a PD feedback module counteracts disturbance of nonlinear collision force on motion of the mechanical arm in advance by monitoring joint positions and posture deviation in real time; outputting a tracking torque to accurately correct a track error; the two layers of modules are nested and cooperatively work, the advantage of active disturbance suppression of feedforward control is exerted, the steady-state precision of trajectory tracking is guaranteed by means of PD feedback control, and the operation precision and reliability of the gap-containing joint mechanical arm are effectively improved.

The invention provides an L1 / L2 norm ratio regular minimization image restoration method based on an analytical model, and belongs to the field of signal and image processing inverse problems. In order to solve the problems that the reconstruction precision is limited and the algorithm robustness is insufficient under the conditions of undersampling, pixel loss, blurring and the like in the existing image restoration technology, an image restoration optimization model is established and solved by utilizing the inherent scale invariance and parameter freedom of an L1 / L2 norm ratio and combining the stability of signal representation under an analytical model. The geometric structure and texture details of the image can be stably recovered from under-sampled or damaged observation data, and the image recovery problem in various typical degradation scenes is effectively solved.

The invention belongs to the technical field of power plant indirect cooling circulating water treatment, and relates to an automatic control device and method for the quality of indirect cooling circulating water. Comprising an intelligent control cabinet, an alkali solution tank, an acid solution tank, a mixed ion exchanger, a condenser and an indirect cooling tower aluminum heat exchanger, a conductivity meter, a pH meter and a PLC (Programmable Logic Controller) are arranged in the intelligent control cabinet; the alkali solution tank is connected with a circulating water inlet pipeline; the acid solution tank is connected with a circulating water inlet pipeline; a pH electrode is arranged on the circulating water inlet pipeline; a conductivity electrode is arranged on the circulating water outlet pipeline; the condenser inlet is connected with the circulating water outlet pipeline; the condenser outlet is connected with the circulating water inlet pipeline; the circulating water outlet pipeline is connected with an inlet of the mixed ion exchanger; an outlet of the mixed ion exchanger is connected with an inlet of the condenser. According to the invention, accurate control of the water quality pH value and conductivity of the intercooling circulating water can be realized, so that system corrosion is effectively inhibited, the service life of equipment is prolonged, and safe and economical operation of a unit is guaranteed.

The present invention provides a surgical navigation method, system, medium and electronic device based on DSA images, and the method includes the following steps: Step 1, obtaining the patient's CT angiography data, extracting the vascular structure therefrom, and constructing a 3D vascular model. The present invention significantly reduces the situation of interactive overlap of vascular positions by constructing the preoperative CT angiography data into a 3D vascular model, and aligning it with the DSA image in real time during the operation, thereby avoiding the need for multiple projections, thereby reducing the patient's irradiation dosage, examination time, contrast agent dosage and economic burden, and also reducing equipment loss; by processing the DSA image and predicting the camera parameters through the CNN neural network model, the accuracy and effectiveness problems existing in the registration of two-dimensional images and three-dimensional images are effectively overcome. By simulating the generation and training of DSA images, the CNN model can accurately predict the camera parameters corresponding to the intraoperative DSA image, thereby achieving high-precision image registration and improving the safety and success rate of the operation.

The application discloses a kind of power grid architecture data processing method and system, belong to data processing field, this method includes: obtaining current project information, and current query set is constructed based on current project information;Obtain historical knowledge graph, extract structure information and construct historical query set;According to semantic query set obtained by large language model;Current query set, historical query set and semantic query set are confidence score, and initial decision group is obtained and fitness function is constructed;Obtain initial evaluation particle swarm, based on fitness function and compression factor iterative calculation, when reaching maximum iteration number or the average fitness of initial evaluation particle swarm meets preset fitness requirement, final evaluation particle swarm is obtained, to obtain final decision group, to complete power grid architecture data processing process based on final decision group.The power grid architecture data processing method disclosed in the application can optimize the data processing architecture of power grid, and improve data processing efficiency.

The image motion deblurring method based on a hybrid expert network belongs to the technical field of image processing and computer vision, and particularly relates to an image motion deblurring method based on a hybrid expert network; solves the technical problems of coarse-grained routing mechanism, sparse activation detail loss, imbalance between lightweight and precision, single feature fusion strategy, and difficulty in balancing precision and efficiency in the prior art; the method comprises the following steps: inputting a single-frame blurred image to be repaired into a hybrid expert deblurring model that has been trained, and reconstructing and outputting a clear image after deblurring. The image motion deblurring method based on a hybrid expert network is suitable for the fields of lightweight image visual perception, image restoration and deblurring processing.

The embodiment of the invention provides a robot eyeball tracking control method and device, computer equipment, a computer readable storage medium and a computer program product, and belongs to the technical field of robots. The robot eyeball tracking control method comprises the following steps: determining a three-dimensional pose of a target object in a current camera coordinate system by using a binocular camera, and determining an expected camera extrinsic parameter of the target object at a target position based on the three-dimensional pose; obtaining current steering engine control data of eyeballs of the robot, and determining current camera external parameters from a pre-constructed mapping relation table based on the current steering engine control data; and determining the difference between the expected camera external parameter and the current camera external parameter, determining a steering engine control instruction of the robot eyeball at the next moment based on the difference and the mapping relation table, and driving the robot eyeball to move based on the steering engine control instruction. According to the technical scheme, the control problem caused by mechanical uncertainty of the composite steering engine can be effectively solved, and high-precision tracking control over the object by the eyeballs of the robot is achieved.

The application discloses a preparation method of a silicon carbide membrane based on wettability difference induced hollow interface construction. The method introduces a carbon powder pore former with wettability difference from silicon carbide particles into a green support body, realizes slurry preferential spreading in the hydrophilic region and local retention in the hydrophobic region during the dip-coating process, and then induces the formation of an ordered hollow channel structure at the membrane-support interface. During the co-sintering process, the structure can effectively inhibit the penetration of the membrane slurry into the large pores of the support body, enhance the integrity of the membrane layer, and significantly reduce the interface mass transfer resistance. The obtained membrane layer has adjustable pore size and highly continuous surface structure, significantly improving the gas flux and dust filtration performance compared with traditional membranes, while shortening the preparation period and reducing the sintering energy consumption. The method is suitable for the construction of various asymmetric membrane structures, has good scalability and process compatibility, and provides a new way for the large-scale preparation of low-cost and high-performance silicon carbide membranes.

The invention belongs to the technical field of radar signal processing, and particularly relates to a multi-time echo signal model analysis method for improving trailing. The method comprises the following steps: step 1, constructing a time domain echo signal model of the pulse laser radar; 2, constructing a single echo signal model according to the time domain echo signal model; 3, constructing a multi-target light spot detection model, and determining a target distance and a light spot proportionality coefficient corresponding to each target according to the multi-target light spot detection model; and 4, according to the single-time echo signal model, and the light spot proportionality coefficient and the target distance of each target, constructing a multi-time echo signal model. According to the multi-time echo signal model analysis method for improving trailing, the multi-time echo signal model is analyzed, a technical basis can be provided for extracting echo information of multiple targets, and the problems of information loss and low ranging precision in pulse laser radar signal processing can be solved.

The invention discloses an automatic data conversion and fusion method for a three-dimensional model component, and relates to the technical field of data processing. According to the method, the two-dimensional image of the three-dimensional model is extracted through the SAM model based on the image data of the three-dimensional model, the two-dimensional image is segmented to obtain the first component segmentation result, and then the spatial geometric features of the component in the three-dimensional model are determined through the NeRF model based on the image data of the three-dimensional model and the first component segmentation result; the method comprises the steps of obtaining a second component segmentation result, then mapping the second component segmentation result to a three-dimensional model, segmenting the three-dimensional model to obtain the component, determining attribute information of the component through a semantic recognition model, and finally generating standard data of the component based on the component and the attribute information, thereby improving the accuracy of three-dimensional model component data conversion.

The application provides an adaptive thermal management control system for a high-power laser and a method thereof, the system comprising a multi-source temperature sensing module, a multi-stage composite heat dissipation execution module, an adaptive control decision module and a working condition recognition and mode switching module; the multi-stage composite heat dissipation execution module adopts a three-stage cascade architecture of'semiconductor refrigeration-liquid cooling-air cooling'; the adaptive control decision module adopts a composite control algorithm combining BP neural network feedforward prediction and adaptive dynamic adjustment PID feedback, realizes advance compensation through a feedforward channel to predict a thermal load trend, and realizes precise control through a feedback channel to online set PID parameters; the working condition recognition and mode switching module intelligently switches among four modes of preheating and temperature rising, steady-state operation, peak power output and safety protection; the application effectively improves the temperature control precision and response speed of the high-power laser under variable working condition conditions, and simultaneously takes into account the stability of the heat dissipation energy efficiency ratio and the beam quality.

The application discloses a forming method of a large-size high-temperature alloy curved generatrix single-wall section product, which comprises the following steps: preparing a fan-shaped spread material; rolling and bending the fan-shaped spread material to form a conical cylinder by forming and combining welding; performing flanging forming on the conical cylinder, and the flanging angle is 30-35 degrees; performing bulging forming on the product obtained by the flanging forming; and performing solid solution treatment on the product obtained by the bulging forming, and the shape correction is realized by adopting the method of re-bulging forming, so that the springback is reduced. The application further discloses a forming device of a large-size curved generatrix single-wall section product, which comprises a flanging die, a female die and a bulging die; wherein the flanging die and the female die are used for realizing flanging forming; and the bulging die and the female die are used for realizing bulging forming. The product obtained by the application has high shape and size precision, low forming period and manufacturing cost, and small springback of the high-temperature alloy product after forming, and is suitable for batch production of large-size high-temperature alloy single-wall section products.

This application relates to the field of medical image processing technology, and discloses a method, system, device, and medium for predicting tumor status, including: acquiring a set of CT images of the lungs of a target object during the current respiratory cycle; constructing a three-dimensional tumor model of the lung tumor based on the CT image set; the lung tumor has a real volume and real centroid coordinates; performing finite element analysis to obtain a finite element tumor model, calculating the simulated volume and simulated centroid coordinates of the lung tumor; comparing and obtaining the volume retention ratio and centroid offset; predicting the motion state of the lung tumor in the next respiratory cycle to obtain the initial motion state parameters of the lung tumor in the next respiratory cycle; if the motion state prediction quality of the lung tumor meets the preset motion state prediction quality based on the volume retention ratio and centroid offset, then the initial motion state parameters are used as the target motion state parameters to predict the motion state of the lung tumor, thereby improving the accuracy and correctness of radiotherapy.

The present invention discloses a high-precision shunt welding tool, including a welding tool base plate for fixing the shunt assembly, a connecting plate assembly, a positioning plate assembly, a guide rod, a fixed guide rail slider assembly, a support block, a quick clamp and an insulating base plate; a connecting plate assembly is provided at one end of the welding tool base plate, and a support block and a quick clamp are provided at the other end; the positioning plate assembly, the fixed guide rail slider assembly and the shunt assembly are all installed between the connecting plate assembly and the support block; the fixed guide rail slider assembly, the guide rod, the positioning plate assembly, the support block and the quick clamp are all installed on the insulating base plate above the welding tool base plate. The present invention drives the positioning plate assembly to position the shunt assembly in the B direction and the A direction respectively by pulling the quick clamp, thereby ensuring the welding accuracy of the shunt assembly. The technical solution of the present invention can reliably position the shunt and adjust the welding accuracy and temperature, meeting the demand for welding shunts with complex structures and high dimensional accuracy requirements.

This invention belongs to the field of microwave radar image processing technology, and relates to a method for inverting significant wave height based on wave period. First, a significant wave height calculation model is established with the wave period as input. Then, microwave remote sensing images of the sea surface are acquired and preprocessed, such as coordinate transformation (e.g., images from shore-based sea observation radar and shipborne navigation radar) and noise suppression. Next, the wave period is inverted from the preprocessed images using spectral analysis techniques. Finally, the inverted wave period is substituted into the pre-established model to calculate the significant wave height. This invention, by introducing the wave period as a key intermediate variable, closely correlates image features with ocean wave physical parameters, overcoming the shortcomings of insufficient accuracy and stability in existing direct inversion methods. It provides a physically meaningful, highly accurate, and easily operational method for obtaining significant wave height.

This application discloses a rapid storm surge floodplain ensemble forecasting method and system for operational use, comprising: generating an ensemble typhoon path containing multiple deviation paths based on real-time typhoon forecast paths and historical error information; calculating the model wind field for each path; using a GPU-accelerated storm surge model to drive parallel calculation of hourly storm surge rise fields and representative tide gauge station rise sequences under each path and determine their maximum total tide level; simultaneously calculating the minimum geometric distance between each pre-divided cell and all typhoon paths; selecting target floodplain cells based on three indicators: maximum storm surge rise, maximum total tide level, and minimum typhoon distance; extracting open-boundary driving data of the target cells from the regional rise field to calculate the storm surge floodplain results for each target cell; and finally integrating the results of all target cells to output the final floodplain calculation result. This method achieves a high-precision and high-efficiency operational rapid forecast.

The invention relates to a probability uncertainty closed-loop robust trajectory planning method considering execution mechanism saturation, belongs to the technical field of aircraft control, and aims to reduce the sensitivity degree of a guided ammunition scheme trajectory to uncertain factors and give full play to the limited control ability while avoiding execution mechanism saturation as much as possible. Firstly, a control quantity of a deterministic energy optimal trajectory is acquired as an initial value of a subsequent algorithm; secondly, modeling is carried out on main uncertain factors, and an uncertainty quantification module is built based on a PCE method; then, designing a corresponding constraint condition and a target function, establishing an open-loop robust programming model, weighing and considering algorithm precision and calculation time consumption, designing a closed-loop tracking PID controller, and coupling with the open-loop programming model; and finally, carrying out closed-loop robust planning by adopting a direct targeting method. The method fully considers the matching of the trajectory and the guide control system, and overcomes the problems of insufficient description precision of a nonlinear model and sensitivity to an initial value in a traditional method.

The invention relates to the field of power distribution network parameter identification, and discloses a distribution network line impedance identification method and system based on NSGA-II, and the method comprises the steps: obtaining the basic data of a target distribution network, and building an impedance parameter multivariate nonlinear model; establishing a distribution network line impedance parameter multi-objective solving model; and performing iterative calculation based on an NSGA-II algorithm to obtain distribution network line parameters. Through the multi-objective optimization method based on the NSGA-II algorithm, the impedance parameters of the distribution network line can be efficiently and accurately identified, and the defects of a traditional method in precision and calculation efficiency are overcome. Real-time voltage, current, power and other data are obtained in combination with a mu PMU device, and a target function for minimizing voltage and power calculation errors is established, so that accurate impedance parameter calculation is realized.

The invention provides a finished bridge linear smoothness judgment method and system based on a main beam splicing process, and relates to the technical field of linear smoothness judgment, and the method comprises the following steps: obtaining a design curve of a main beam finished bridge target elevation, an elevation curve of an actual main beam splicing section and a to-be-judged splicing section length; and if the actual elevation curve exceeds the preset threshold, determining the elevation curve of the first bridge section according to the design curve. And fitting the actual elevation curve with the elevation curve of the first bridge section by adopting a preset spline curve fitting method to generate an elevation curve of the second bridge section. And combining the elevation curves of the actual splicing section, the first bridge section and the second bridge section into a virtual bridge forming line shape, performing high-pass filtering on the line shape, extracting an irregularity maximum absolute amplitude, comparing the irregularity maximum absolute amplitude with a preset irregularity allowable limit value, and judging whether the smoothness of the splicing section meets the requirement or not. According to the method, the smoothness judgment precision of the finished bridge line shape can be effectively improved.