234 results about "Contour line" patented technology

The invention discloses a tunnel blasting quality evaluation and optimization method based on multi-source data fusion, and belongs to the field of tunnel blasting quality evaluation, and the method comprises the steps: collecting and preprocessing multi-source data of a tunnel blasting region; based on the preprocessed multi-source data, performing blasting quality evaluation according to local back break, a blasting contour line, average linear back break and point cloud extraction to obtain a blasting quality evaluation result; according to the blasting quality evaluation result, the blasting quality is graded, and a comprehensive blasting quality score is calculated and graded; and establishing a database containing geological parameters, surrounding rock response parameters and blasting process parameters, training through a convolutional neural network model to generate a blasting parameter optimization scheme, and dynamically adjusting blasting parameters of the next cycle according to the comprehensive blasting quality score. According to the method, the blasting parameter optimization and the quality evaluation process are closely combined to form a closed-loop system, the specific situation in the construction can be reflected in real time, and the accuracy of the blasting effect is ensured.

The invention discloses a BIM (Building Information Modeling)-based building component attribute matching method and a BIM-based building component attribute matching system, contour line segments of a target and a reference component are segmented, curvature change values are recorded, and the local feature expression capability is enhanced. Then, dynamic adjustment parameters are introduced to optimize eigenvector weighting processing, so that the matching process adapts to different shape complexity, and mismatching is avoided; and then, identifying a local similar region by comparing the corrected matching parameter set, and generating a registration mapping relation, thereby improving the accuracy of space consistency judgment. A matching priority matrix is constructed based on the mapping relation and the shape distribution difference, high-matching-degree candidate components are quickly screened, and the matching efficiency is improved. Finally, a feedback adjustment mechanism is adopted in the attribute verification stage, it is ensured that the matching result meets the preset precision requirement, and self-adaptive optimization is achieved. The method effectively solves the problems of low precision and poor stability in non-standard geometric component matching in the prior art, and has important practical value.

The invention relates to the technical field of tunnel and underground engineering construction, and discloses an intelligent closed-loop control system and method for a tunnel construction section contour, and the method comprises the steps: collecting geological-geometric data through the fusion of a three-dimensional laser scanner and a geological radar before blasting; dynamically generating a theoretical blasting contour line and adaptive blasting parameters through a convolutional neural network; iMU positioning and a PID controller are combined to realize millimeter-level accurate control of the drill boom; generating a three-dimensional deviation field by adopting an iterative point cloud registration algorithm after blasting; when the deviation exceeds a threshold value, triggering incremental learning to optimize model parameters; and finally, closed-loop iteration is formed. Through multi-source data fusion, contour and parameter intelligent generation, precise execution control, three-dimensional deviation field feedback and an incremental learning mechanism, a complete intelligent closed-loop control system is constructed, the limitation of traditional blasting design depending on experience is broken through, and the precision, efficiency and economic benefits of tunnel construction are remarkably improved.

The invention discloses a special terrain extraction method for water conservancy based on a laser radar and satellite remote sensing. The method comprises the following steps: acquiring satellite radar data and satellite remote sensing data of a preset area; performing comparison and discrimination area division according to the radar data and the remote sensing data to obtain a live area and a fuzzy area, and performing water conservancy boundary and terrain extraction on the live area to obtain first data; carrying out collaborative complementary measurement on the fuzzy region to obtain covered water conservancy data, and carrying out water conservancy boundary and terrain extraction on the covered water conservancy data by adopting a closed contour line to obtain second data; according to the first data and the second data, constructing a time sequence water conservancy topology dedicated terrain extraction model, and extracting water conservancy terrain data DEM1 of a preset area; and constructing a two-dimensional hydrodynamic model on the basis of the topographic data and the water conservancy boundary of the preset area to perform flood inundation simulation, extracting a wading area according to an inundation range, and generating water-land integrated HDEM data of the preset area.

The embodiment of the invention discloses a low-altitude wind shear early warning method and device based on multi-source meteorological data. A specific embodiment of the method comprises the steps of generating a first region of interest for a target region according to a contour topographic map; determining a second region of interest according to the real-time rainfall distribution diagram and the real-time air temperature distribution diagram; performing region optimization on the first region of interest according to the real-time wind field graph to obtain a third region of interest; generating a fourth region of interest according to the second region of interest and the third region of interest; and according to the fourth region of interest and a pre-trained low-altitude wind shear prediction model, generating wind shear region early warning information. According to the embodiment, accurate prediction of the wind shear is realized, so that early warning is performed on the low-altitude aviation equipment, and the navigation safety of the low-altitude aviation equipment is ensured.

The invention discloses a method for generating a cutting track of a convex riser on the surface of a casting based on machine vision, and the method comprises the steps: carrying out the self-adaptive anisotropic downsampling of an original point cloud, so as to reduce the data volume while keeping key geometric features; performing robust principal component analysis plane fitting on a point cloud downsampling result to obtain a reference plane parameter of the casting body under a preset coordinate system; differential geometry-based riser region segmentation is carried out on the point cloud downsampling result according to the reference plane parameters, and convex riser region point clouds are obtained; according to the point cloud of the convex riser region, constructing a triangular mesh curved surface about the surface of the convex riser; performing plane cutting on the triangular mesh curved surface to obtain a cutting contour line; based on a beam projection method, an initial cutting path is obtained according to the cutting contour line; and constructing a cutting path optimization energy functional so as to optimize the initial cutting path to generate an optimal cutting track of the convex riser on the surface of the casting. The problems that a traditional manual cutting mode is low in cutting efficiency, poor in precision, poor in consistency and large in potential safety hazard are solved.

The invention relates to the technical field of airport noise prediction. The airport noise map isoline calculation method and system based on multi-source data fusion are provided, and the method comprises the following steps: carrying out space-time alignment fusion processing on multi-source heterogeneous data to generate a space-time synchronous standardized data set; processing through a track-noise coupling calculation unit to generate a single event noise value containing a meteorological correction factor; performing dynamic gridding accumulation calculation processing on the single event noise value to generate a noise evaluation quantity grid matrix with a time stamp; processing is carried out through a curvature-driven adaptive contour line generation unit, and a fidelity-optimized noise contour map is generated; and selecting a real-time lightweight channel or a distributed batch processing channel for processing based on the calculation mode decision-making unit, and outputting a noise contour map with optimized fidelity, so as to achieve the technical effects of improving noise positioning precision, reducing modeling errors in a dynamic flight environment and improving the fidelity of geographic features of contour lines.

The invention discloses an energy-saving and consumption-reducing tunnel excavation method of a cantilever type heading machine under the action of gravity. The energy-saving and consumption-reducing tunnel excavation method comprises the following steps: step 1, drawing a geological form map; step 2, identifying an excavation contour line of the tunnel; step 3, constructing an initial free face; step 4, constructing a contour boundary groove; 5, drilling holes in the tunnel face at intervals, and sequentially stretching a rock stratum crushing device into each drill hole to perform fracturing operation; 6, the cutting head is controlled to conduct circuitous cutting in the trend of the rock stratum; in the excavation process, a rock stratum crushing device is used for moving along a cutting path; and step 7, trimming the contour boundary groove. According to the invention, the contact time of the cutting pick and the hard rock can be effectively reduced, and the abrasion of the cutting head is reduced; the rock is caved by utilizing gravity, so that the excavation efficiency is improved; the mechanical load is optimized, and the service life of equipment is prolonged; and meanwhile, the stress is released step by step, and the probability of sudden collapse risk is reduced. The method is suitable for the technical field of tunnel construction.

The invention discloses a coal mine goaf ignition area detection method, which belongs to the field of coal mine safety, and comprises the following steps: S1, delimiting a detection area; s2, delimiting a target measuring point; s3, defining a reference measuring point; s4, calibrating coordinate information of the measuring points; s5, measuring the radon value of the measuring point; radon value measurement is carried out on each reference measurement point, and an average value is taken as a local radon value reference value and is recorded as K; a radon measuring instrument is adopted to measure radon values of all the target measuring points, the radon values are recorded as L, and coordinate information of all the target measuring points and a corresponding radon value data table are drawn; s6, defining a fire area detection range; importing the data table into drawing software, generating a radon value contour map, and dividing the radon value contour map into three grades of fire areas according to different radon value intervals, namely an I area and an extremely easy fire area, L being greater than 5K; in the second zone, L is greater than or equal to 2K and less than or equal to 5K in a medium ignition zone; and the third area is a difficult-to-ignite area, and L is less than 2K. According to the method, the radon value abnormal region is accurately delimited through the radon value contour map, and a basis is provided for accurate positioning of a goaf fire source.

The invention provides a sea target drifting trajectory prediction method and system based on a Transform-GRU and MDN mixed depth model. The method comprises the steps of S1, obtaining initial data of a search and rescue task and constructing a target feature vector about a search and rescue target type; s2, historical environment field data and future environment field forecast data are acquired, data preprocessing is performed, and a historical environment field time sequence feature sequence and a future environment field time sequence feature sequence are acquired; s3, performing dynamic weighted fusion on the target feature vector and a historical environment field time sequence feature sequence; s4, the fusion features are input into a Transform encoder for feature extraction, and context vectors are obtained; s5, taking the context vector as the initial hidden state of a GRU decoder, and predicting the final position of the search and rescue target according to the input by the GRU decoder; s6, enabling the output of the GRU decoder to pass through a mixed density network (MDN), and obtaining a probability distribution parameter representing a future position; and S7, generating and drawing a target probability density contour map in real time according to the probability distribution parameters, and performing visual display.

The embodiment of the invention provides a site selection method of a pumped storage power station and related equipment, and belongs to the technical field of information processing. The method comprises the following steps: acquiring and identifying a river system and a contour line through topographic data; traversing all river systems, identifying a source node, a confluence node and an outflow node according to the beginning and end of the water system and the intersection condition of the water system, and generating discrete nodes according to a communication path so as to mark each water system node in the river system; calculating a reservoir area range and an optimal dam line of a reservoir at each water system node according to the water system nodes and the contour lines; generating a closed image according to the optimal dam line and the contour line, and calculating the limit storage capacity, the water level area curve and the water level storage capacity curve of the reservoir at the water system node; and screening to obtain a target reservoir through preset dam characteristic parameters according to the limit reservoir capacity, the water level area curve and the water level reservoir capacity curve of the reservoir at each water system node. According to the embodiment of the invention, omission of a high-quality dam site can be effectively avoided.

A route planning method, route planning device and mowing robot are provided to address the issue of mowing robots slipping on slopes, improve mowing performance on slopes, and enhances the mowing efficiency in such terrains. In the method, gradient data and height data corresponding to a mowing area are obtained. A contour map is drawn based on the gradient data and the height data. A mowing trigger request is received, and in response, a mowing route corresponding to the mowing robot is generated based on the contour map and position information of the mowing robot. The mowing robot is then controlled to perform mowing operations based on the mowing route.

The invention discloses a mountainous area surface matrix physical property prediction method, and relates to the technical field of geological exploration, and the method comprises the steps: obtaining mountainous area surface point cloud data, separating vegetation from ground points through a point cloud classification algorithm, and generating a digital elevation model and a digital surface model; based on the digital elevation model and the digital surface model, a quantum gravity gradiometer is adopted to move along a contour line for measurement, a gravity gradient tensor is obtained, terrain interference signals are eliminated, and a vertical density profile is obtained through inversion; identifying a density abnormal region according to the vertical density profile, acquiring an undisturbed soil column sample by adopting a drilling unit, determining a grain composition and moisture characteristic curve, performing DNA extraction and microorganism sequencing on the undisturbed soil column sample, and calculating the relative abundance of the nitro spirillum phylum. According to the method, the dynamic coupling model is constructed through fusion of quantum gravity gradient measurement and microbiological omics data, and the problem of insufficient vertical density-permeability coefficient coupling modeling precision of a traditional method is solved.

The invention relates to the technical field of geotechnical engineering, in particular to a simulation calculation method and system based on side slope digital twins. The method comprises the following steps: acquiring airborne laser radar data, generating a slope contour line, and obtaining slope contour line data; performing slope section stability analysis according to the slope contour line data to obtain slope section stability data; obtaining side slope geological data; according to the slope geological data, constructing a slope digital base plate, including constructing a surface simulation layer, a topographic geological layer and a dynamic effect layer, so as to obtain a slope digital base plate architecture; identifying a slope unstable area according to the slope section stability data; reinforcement optimization is conducted based on the slope unstable area, and slope reinforcement optimization data are obtained; and construction sequence optimization is conducted according to the slope reinforcement optimization data, and construction sequence data are obtained. The slope stability evaluation and reinforcement construction efficiency and accuracy are improved based on the geotechnical engineering technology.

The invention relates to a profile steel defect detection method, device and equipment based on a three-dimensional point cloud and a medium, and relates to the technical field of profile steel defect detection.The method comprises the steps that a current contour line corresponding to a current plane is obtained based on the three-dimensional point cloud corresponding to profile steel to be detected; obtaining an angle value of an included angle between the current contour line and a horizontal line; based on the angle value, rotating the three-dimensional point cloud so as to enable the current plane to rotate to a horizontal position; based on the rotated three-dimensional point cloud, converting the plane point cloud corresponding to the current plane into a depth map; based on the depth map, defect information corresponding to the current plane is obtained, and the defect information comprises defect positions and defect types. According to the method and the device, a three-dimensional point cloud data processing problem with extremely high calculation complexity is converted into an efficient two-dimensional image processing problem, human subjective factors in a detection process are eliminated, so that the detection speed is increased by an order of magnitude, and the detection efficiency is improved.

The invention relates to the technical field of medical image processing, in particular to an acupuncture guide system based on image registration. According to the method, the height parameter field of the human body surface three-dimensional model is established and the contour line density distribution is extracted, so that hierarchical division and density aggregation identification of morphological characteristics of a target area can be realized, and local geometric characteristic identification is carried out by carrying out tangential analysis on direction changes of continuous contour line segments and combining Gaussian curvature. According to the method, geometric abnormal point locations of the surface structure can be accurately calibrated, and an area with direction stability and geometric continuity can be discriminated in multi-point data in combination with a space consistency judgment mechanism in the normal direction, so that the space identification process is more robust, and the accuracy of the space identification is improved. Multi-feature re-check judgment of a fitting end point can be realized through density peak value and normal consistency dual screening, the spatial accuracy of a positioning point is guaranteed, and the consistency of structural continuity and visual guidance information can be considered through a path construction mode generated by combining an image registration result and image gradient information.

This invention discloses a three-dimensional modeling method for the true shape of boulders in a soil-rock fill slope, comprising: Step 1, acquiring the two-dimensional projections of the boulders of the actual soil-rock fill slope onto three orthogonal planes; Step 2, obtaining the coordinates of the two-dimensional projection contour points, calculating the centroid of the contour line, moving the centroid to the origin of the coordinate system, and recalculating the coordinates of the contour points; Step 3, segmenting the contour line into spatial regions based on the projections of the boulders on the XOZ and YOZ planes, and randomly reconstructing a contour line; Step 4, performing compatibility analysis on the XOY plane and correcting the reconstructed contour line; Step 5, randomly constructing several contour lines within each spatial region; Step 6, generating a three-dimensional geometric model with a true shape based on the contour lines. The method of this invention constructs a three-dimensional realistic model based on the true shape of the boulders, resulting in higher accuracy in subsequent finite element analysis of the stability of the soil-rock fill slope from a heterogeneous perspective.

The present application relates to a kind of groundwater organic pollution tracing analysis method and system based on isotope, the method comprises: collecting the pollutant parameter of monitoring point in multiple time intervals;Build target monitoring point set;Its coverage area is called target area;Based on typical time interval, the pollutant parameter of each monitoring point in analysis target monitoring point set is found to obtain the contour line corresponding to pollutant parameter type;The area in the contour line of each pollutant type high pollutant parameter is regarded as suspected area;Determine target pollution source in suspected area based on isotope parameter.The present application fully utilizes big data monitoring resources from space and time, combines pollutant parameter itself and optimally uses isotope analysis resources, and the tracking of pollution source is guided to provide efficient multi-source burst differentiating pollutant tracing.

The invention discloses a mountain landscape balance degree quantitative evaluation method based on a simulation effect, and the method comprises the steps: simulating a to-be-evaluated mountain landscape effect, and exporting a simulation effect picture; performing image segmentation on the simulation effect image according to the pixel values to obtain a complex color block image; simplifying the complex color block map by using a clustering algorithm to obtain a simple color block map; extracting mountain contour lines of all levels based on the simple color block map; smoothing and vectorizing the mountain contour line of each level to obtain a vector mountain contour line of each level; calculating the equilibrium coefficient of the vector mountain contour line of each level in different view ranges; and obtaining an evaluation result by integrating the equilibrium coefficients of the mountain contour lines at all levels. According to the method, the evaluation result is relatively objective, and reliable technical guidance is provided for objective evaluation in real and virtual mountain landscape design; an evaluation object is a simulated mountain landscape effect and corresponds to a mountain landscape design result, and an evaluation result can be linked with upstream and downstream design links to directly guide design optimization.

The invention discloses a method for determining the position of a dam-surrounding seepage-proofing line, which comprises the following steps of: 1) drilling, and carrying out a seepage test and underground water level long-term observation in a drill hole; 2) drawing a contour line relative to the top surface of the impervious layer based on the result of the penetration test; based on the long-term observation data of the underground water level, an underground water level equal water level line is drawn; (3) based on the groundwater surface equal water level and the opposite impervious layer top surface contour line, a dam-surrounding seepage-proofing line is preliminarily planned; and (4) determining a dam-surrounding seepage prevention line. According to the method, the drilling coordinates are combined with detailed and comprehensive hydrogeological conditions such as underground water and rock-soil body permeability, and the optimal dam-surrounding seepage prevention line position is determined by comparing two schemes of the initially-planned underground water surface and the relatively-impervious layer top surface, so that the seepage prevention line position is determined on the premise that the dam-surrounding seepage safety is guaranteed. And the anti-seepage route is shortened, the engineering amount of the anti-seepage curtain is reduced, and the construction treatment cost is saved.

The invention relates to a construction method and system of a surface contour line model. The construction method comprises the following steps: S1, determining at least one ground object of a plant, and dividing the plant according to the number of the selected ground objects to form sub-plants; s2, according to the record of the factory file, screening the geometries belonging to each sub-factory, and leaving the geometries meeting a predetermined elevation condition; s3, simplifying the factory file according to a mode of only retaining the elevation of the sub-factory and the geometry meeting the predetermined elevation condition, and outputting the factory with the geometry meeting the predetermined elevation condition; and S4, carrying out fusion on the generated ContoursNew contour line set and the topographic file. The construction system can execute the construction method and comprises one or more of the following hardware: a data loading module, a space calculation module, a graphic processing unit and a storage array.

The application provides a method for calculating the ground stress based on the whole process formation leak-off test of a directional well, comprising the following steps: performing the whole process formation leak-off test on the target directional well and recording the test data; calculating the horizontal minimum ground stress and the overburden pressure according to the test data of the whole process formation leak-off test and the rock mechanics characteristic parameters of the target directional well; calculating the fracture pressure value under all possible arrangement combinations of the horizontal maximum ground stress and the horizontal minimum ground stress at the well deviation azimuth of the target directional well according to the stress distribution around the well section of the formation leak-off test well and the tensile failure criterion; drawing the contour map of the fracture pressure to establish the ground stress query chart of the target directional well; and querying the horizontal maximum ground stress corresponding to the calculated horizontal minimum ground stress in the ground stress query chart. The application calculates the ground stress based on the test data of the whole process formation leak-off test of the target directional well, and effectively improves the accuracy of the calculation result of the ground stress size.

The invention relates to the technical field of intelligent manufacturing and numerical control machining, and particularly discloses a three-dimensional volute model revolution surface turning blank contour line extraction method which comprises the steps that a three-dimensional volute model is input, and all turning revolution surfaces are extracted from the three-dimensional volute model; traversing each turning rotation surface, constructing a plane, and intersecting the plane with the corresponding turning rotation surface to obtain an intersection line corresponding to each turning rotation surface; scanning each intersecting line around a rotating shaft to obtain a corresponding ring surface, and intersecting each ring surface by using the same reference plane to obtain a contour line of each ring surface on the same reference plane; all the contour lines are subjected to duplicate removal and sorting; connecting the sorted contour lines to obtain a closed line frame; and the closed wireframe is swept around the rotating shaft, so that a machined blank body of the three-dimensional volute model is formed. According to the method, various characteristics of the volute revolution surface can be accurately identified, and the method has certain generalization.

The invention relates to a method and device for determining a construction area of a switching station, computer equipment and a medium, and the method comprises the steps: determining an initial area for arranging the switching station based on a factory building outgoing line point, a length threshold value and a height threshold value, and removing an area, coinciding with an arrangement forbidding area, in the initial area to obtain an arrangement allowing area; determining a plurality of target contour lines on the basis of a preset elevation step length by taking a point, which has the shortest distance from the permitted arrangement area, in the lowest contour lines of the permitted arrangement area as a starting point; determining a plurality of first target points in the lowest contour line and the target contour line based on a preset plane step length; each first target point is used as a positioning point of the candidate arrangement area, a preset length and a preset width are used as the length and the width of the candidate arrangement area, and a target area with the minimum construction cost is determined from the candidate arrangement areas meeting the preset arrangement condition. According to the method, the target area which is suitable for construction of the switching station and has the minimum construction cost can be rapidly determined.

A road center line determination method, device, equipment and storage medium are disclosed. The method comprises: acquiring a first boundary contour line and a second boundary contour line on both sides of a target road; determining an outer bounding rectangle of the boundary contour line and a projection point of each boundary point on the outer bounding rectangle; extending a connecting line between each boundary point and the corresponding projection point, determining a first associated point intersecting the contour line, and taking a midpoint between each boundary point and the corresponding associated point as a feature point corresponding to the boundary point; based on the change direction of the boundary contour line, sorting each first feature point and each second feature point, and based on the sorted feature point sequence, determining a center line corresponding to the target road. Through the technical scheme of the embodiment of the present application, the determination efficiency and accuracy of the road center line can be improved, and the combined center line can perfectly retain the geometric shape of the original two lines.

The invention is applicable to the technical field of meteorological engineering, and provides a vector diagram feature extraction method for groove ridge line recognition, which comprises the following steps: firstly, acquiring contour line data and wind field data, then traversing all lines in the contour line data, when the number of points included in the current line is at least three, extracting geometric structure features of each point of the current line, and extracting the geometric structure features of each point of the current line; then extracting four wind field component fields in a preset range of each point in the current line, calculating wind direction angles and wind field types of the component fields, and finally constructing a feature matrix of the line according to geometric structure features, the wind direction angles and the wind field types of each point of the current line. Therefore, by utilizing the vectorization structure characteristics of the contour line and the wind field based on latitude and longitude coordinates, and the advantages that the vector diagram is small in size, accurate in coordinate and clear in boundary, the groove ridge line recognition efficiency and accuracy are jointly improved.

The invention discloses a method for converting an elevation system contour line of a stock place to a 85 elevation datum, which comprises the following basic steps of: discretizing the contour line based on an adaptive sampling method of contour line curvature, and extracting node data on the contour line; elevation points are properly encrypted in a place with sparse contour lines by using a method for improving Kriging interpolation by using a gradient boosting tree, and elevation point data obtained by arrangement is converted into 85 elevation; according to a weighted soft constraint Delaunay triangulation algorithm, a triangulated irregular network is constructed by using 85-elevation point data, and contour lines are generated. The method provided by the invention has the advantages of being scientific, reasonable, easy to implement, high in production efficiency, wide in application range and the like, the curvature and characteristics of the contour lines are analyzed one by one by fully utilizing the contour lines of the elevation system of the stock place, and the variation characteristics of the complex space are captured more accurately; and the accuracy of conversion from the elevation line contour line of the stock place to the 85 elevation datum can be further improved.

The application discloses a component difference identification method and device in different version BIM models and a storage medium. The method comprises the following steps: selecting a component to be compared from different version BIM models; extracting contour lines of the component to be compared in each version BIM model; sampling the contour lines to obtain a key point set of the contour lines; sampling a surface of the component to be compared to obtain a description point set of the surface; calculating a logarithmic distance between each key point in the key point set and all points in the description point set; constructing a statistical histogram of the component to be compared according to the logarithmic distance; and identifying component differences according to the statistical histograms of the components to be compared in different version BIM models. The application can identify subtle differences of components, and improve identification efficiency and identification accuracy.

The present invention provides a method for determining contour lines and an image processing device. [Solution] The method includes: extracting a reference subblock containing an initial contour point from a target image; determining a plurality of template subblocks based on the reference subblock; recursively executing a plurality of steps to determine a contour point corresponding to each step; determining a search region in the target image as the i-th step of the plurality of steps; determining a plurality of candidate subblocks in the search region; obtaining a plurality of comparison results between each candidate subblock and each template subblock; selecting a reference subblock from the plurality of candidate subblocks based on the plurality of comparison results; determining a contour point corresponding to the i-th step based on the reference subblock; and determining at least a portion of the target contour line based on the contour point corresponding to each step.

The invention discloses a method for generating a concentration contour map in real time based on infrared alarm information. Comprising the following steps: S1, determining boundary coordinates of an infrared spectrometer calibration detection area, and collecting alarm information in real time; s2, generating a concentration distribution matrix base map; s3, obtaining a reduced matrix base map; s4, converting the reduced matrix base map into a concentration diffusion map with a gradual change effect; s5, converting the color distribution of the concentration diffusion diagram into a numerical field, extracting a contour line by using a Marching Square algorithm, and drawing the contour line; and S6, recovering the size of the contour map through a cubic spline interpolation algorithm, and uploading the real-time monitoring image of which the contour map is overlapped and displayed in the detection area to a client for display. The method has the beneficial effect that the distribution condition of the alarm substance concentration in the monitoring area of the infrared spectrometer can be visually displayed.