1501 results about "Boundary line" patented technology

The invention relates to the technical field of hydrological monitoring, and discloses a river flow monitoring method and system fusing multi-source data, and the method comprises the steps: collecting river flow data and river water level data through employing a high-precision sensor group, and collecting river image data through employing an unmanned plane; filtering the river flow data and the river water level data by adopting a Kalman filtering method to obtain filtered river flow data and filtered river water level data; performing edge detection on the riverway image data by adopting a Canny edge detection method to obtain riverway boundary information; on the basis of the riverway boundary information, a cubic spline interpolation method is adopted for interpolation, a smooth first boundary line and a smooth second boundary line are obtained, and the actual flow of the riverway is calculated on the basis of the filtered riverway water level data and the riverway flow velocity data; judging whether the actual flow of the riverway is greater than a riverway flow preset value, and if yes, sending alarm information; the actual flow of the river channel is calculated by fusing the multi-source data, and the accuracy of monitoring the flow of the river channel is improved.

The invention relates to the technical field of visual navigation, in particular to a robot navigation method based on vision, which comprises the following steps: acquiring a grayscale image to extract dynamic point locations, screening boundary features to reconstruct a feature set, calculating gradient change to generate candidate guide points, converting coordinates to construct a path track set, and outputting a navigation planning path. According to the method, rapid elimination of static backgrounds is realized through difference threshold selection, dynamic region extraction accuracy is effectively improved, combined screening of boundary line feature point frequency and average feature density is combined, key feature stability is enhanced, and the identification capability of image local structure mutation is enhanced by using a variance change rate of a gradient amplitude sequence. Robustness of path guide point extraction is improved through judgment of an abnormal section, dynamic construction of a path track is realized by means of continuous time integration of image coordinates, path identification precision and spatial positioning continuity are optimized, and continuity, precision and real-time performance of navigation path planning are improved.

The invention discloses a comprehensive identification method for unsafe behaviors of construction site personnel, and particularly relates to the field of construction site image analysis and identification, and the method comprises the steps: constructing a boundary line segment connection diagram through edge detection and Hough transformation, and generating a risk mask region based on a plane projection track and a buffer zone; performing instance segmentation and attitude estimation on the personnel, extracting joint points and calculating a gravity center point, screening key points according to operation types, and constructing a relative vector sequence; extracting an included angle between a main attitude axial direction of continuous frames and a boundary normal, and generating a direction consistency matrix and a camber behavior mark; and finally, identifying a resident section in the risk mask area and outputting a constriction violation approaching behavior label. A space compression judgment mechanism based on image feature recognition is achieved, and it is ensured that edge approaching type unsafe behaviors existing when constructors conduct different types of work are recognized in advance and subjected to risk early warning.

A rail area extraction method based on laser point cloud data is provided, including: preprocessing collected laser point cloud data; screening and clustering the laser point cloud data based on a fixed distance segmentation method, and representing laser point cloud data of reference objects by a main laser point cloud data cluster; projecting laser point cloud data of reference objects to a horizontal plane, fitting reference curves based on an improved differential evolution algorithm with a train left side reference curve as an upper boundary and a train right side reference curve as a lower boundary; selecting a target boundary line from upper and lower boundaries based on a laser point cloud data amount-density two-step decision method; calculating a rail area center line based on the target boundary line; and selecting a rail area boundary line extension method or rail area center line extension method to calculate the rail area.

The invention discloses an edge spraying compensation control method based on intelligent visual feedback. The method comprises the following steps: performing space scanning on a to-be-sprayed workpiece to obtain spraying image data, and establishing a space corresponding relation between a spray gun motion coordinate and a workpiece surface coordinate; registering the real-time spraying image by using the corresponding relation, identifying a geometric boundary line, brightness gradient change and a coating adhesion area of the edge of the workpiece, and generating edge feature data; according to the difference between the edge feature data and the target spraying image, the spraying coverage deviation and the boundary overlapping error are calculated, the coating thickness change trend, the optical density change rate and the boundary direction offset are extracted, and the spraying gun posture adjustment amount, the spraying distance correction amount, the spraying pressure correction amount and the path speed correction amount are generated; the angle, the spraying distance, the pressure and the movement speed of the spray gun are dynamically adjusted according to the parameters; according to the method, real-time visual feedback and self-adaptive compensation control in the spraying process are achieved, and the uniformity and consistency of the coating on the edge of the workpiece are effectively improved.

The invention discloses a sea ice classification and intensity inversion method based on deep learning, relates to the technical field of remote sensing image processing, and aims to solve the problems in the prior art, and the method comprises the steps: obtaining original dual-polarization synthetic aperture radar data, and carrying out the preprocessing of the original dual-polarization synthetic aperture radar data; performing superpixel segmentation on the preprocessed data to obtain a plurality of superpixels; calculating the posterior probability of the superpixel by using a conditional random field model, and determining an uncertain superpixel unit; taking the uncertain super-pixel unit as input, outputting sea ice and seawater boundary lines in the uncertain super-pixel unit based on an Ice-WaterNet network model, and combining to obtain a sea ice classification result graph; and performing sea ice concentration inversion on the sea ice classification result map to obtain a sea ice concentration inversion result. According to the method, the inversion precision of sea ice classification and density is improved, and the method can play a more important role in the aspects of global climate change monitoring, marine environment protection, polar region resource development and utilization and the like.

The invention discloses an AI-based staple map automatic generation method and system, and particularly relates to the staple map generation technology field, a radio frequency transmit-receive device and an unmanned aerial vehicle are used to collect boundary line inflection point coordinates of a staple and intersection point coordinates of the staple and an adjacent staple boundary line, and the inflection point coordinates are connected in sequence to obtain a staple boundary line; then, a land parcel boundary line and a land parcel area are corrected and judged, a land parcel area correction link is directly entered if a land parcel boundary line correction task is not triggered, a land parcel boundary point correction link is entered if a land parcel area correction task is not triggered, and a point which can better represent a land parcel trend is screened out from multiple inflection points to serve as a boundary point; according to the method, the problem that the boundary point processing workload is large is solved, meanwhile, the land parcel area is controlled to be consistent with the actual land parcel area, the land parcel boundary line is controlled to be consistent with the actual land parcel boundary line, the four boundaries of the land parcel are analyzed, and the accuracy of a subsequent land parcel map is guaranteed to a certain degree.

The invention relates to a method for identifying and extracting a potential sliding surface of a side slope under three-dimensional numerical simulation analysis, and belongs to the field of traffic side slope engineering. According to the method, a strength reduction technology does not need to be introduced, a rock-soil body shear strength criterion is not limited, after the slope stress field is obtained through numerical simulation calculation, the three-dimensional slope potential sliding surface can be efficiently, automatically and intelligently recognized and extracted, the obtained potential sliding surface conforms to a slope shear failure mechanism, and the method is suitable for large-scale popularization and application. The actual damage form of the three-dimensional slope in a real scene can be effectively displayed; according to the method, the sliding circumference boundary line of the three-dimensional potential sliding surface is determined firstly, and then the discrete points of the three-dimensional potential sliding surface are extracted within the range, so that intelligent identification and extraction of the three-dimensional potential sliding surface are facilitated. The method has the advantages of being wide in application range, high in efficiency, small in deviation, high in universality, good in effect, low in cost and the like, has the automatic and intelligent characteristics, and can provide a powerful scientific basis for slope potential instability range prediction and reinforcement area determination in actual engineering.

The invention provides a basement scene automatic vector map construction method and system, and the method comprises the steps: carrying out the IPM conversion of a plurality of ground-oriented top view images, carrying out the splicing, obtaining a bird's-eye view, carrying out the semantic segmentation of the bird's-eye view, extracting semantic elements, and converting the semantic elements into point cloud data; providing IMU and vehicle wheel speed data, combining with the point cloud data to construct a local map, and correcting to obtain a semantic point cloud map; preprocessing the semantic point cloud map, and clustering the point cloud data in the semantic point cloud map according to the similarity semantic point cloud to obtain clustered point cloud data; and based on the semantic point cloud map, combining the clustering point cloud data, constructing boundaries on two sides of a road, generating a lane center line and a boundary line, obtaining a vector map, embedding parking space information, and performing curve optimization on the center line and the boundary line, so as to obtain a basement scene automatic vector map. Vector representation of the complex environment of the underground garage is achieved, and high-quality basic map data support is provided for applications such as vehicle navigation and path planning.

The invention discloses an expressway small target detection method and related equipment, and the method comprises the steps: obtaining an input image, and carrying out the semantic segmentation of the input image, so as to extract a road region; after a binary mask of a road is obtained through semantic segmentation, a boundary line of the road is detected, and a center point coordinate of a far-end reference line is determined; an ROI is generated according to the center point and used for subsequent small target detection; performing local detection on the ROI to obtain a local detection result; performing global detection on the input image to obtain a global detection result; and fusing the local detection result and the global detection result by adopting a strategy based on IoU matching and confidence weighted fusion to obtain a final detection result. The invention provides a secondary detection algorithm based on semantic guidance, high-precision detection of a small target is realized through modes of semantic segmentation, geometric modeling and adaptive ROI selection, and the detection capability of a far-end small target is improved.

The invention discloses an image edge cutting method and device based on boundary detection, equipment and a storage medium, and relates to the technical field of image boundary detection, and the method comprises the steps: carrying out the preprocessing of an original image, and obtaining a target image; determining a scene type of the target image; based on an edge detection strategy corresponding to the scene type, performing edge detection on the target image to obtain an edge image; performing straight line detection on the edge image to obtain a plurality of candidate straight line segments; and based on a boundary positioning rule, determining a target boundary line segment from the plurality of candidate straight line segments, so as to carry out edge cutting on the original image according to the target boundary line segment. According to the invention, a more reliable image edge cutting effect can be generated.

The embodiment of the invention provides a video coding method and device and a video decoding method and device, and relates to the technical field of video coding and decoding. Comprises: obtaining a target image block; segmenting the target image block into a first sub-image block and a second sub-image block based on the texture edge in the target image block; obtaining a first prediction block of the first sub-image block and a second prediction block of the second sub-image block; combining the first prediction block and the second prediction block to obtain an initial prediction block, and obtaining a boundary line of the first prediction block and the second prediction block in the initial prediction block; determining the filtering intensity of each pixel point in the initial prediction block according to the minimum distance from the pixel point to the boundary line; filtering each pixel point in the initial prediction block based on the filtering intensity of each pixel point to obtain a fused prediction block; calculating the residual error of the target image block and the fusion prediction block to obtain residual error data; and generating coded data of the target image block according to the residual data. Some embodiments of the invention are used for solving the problem that boundary pixels of a synthesized prediction block are not smooth.

The invention relates to the technical field of geographic information processing, in particular to a map updating system based on cloud computing, which comprises a global offset correction module, a regional error division module, a local feature correction module, a residual error optimization fitting module and a computing resource scheduling module. According to the method, through offset calculation and hierarchical division of real-time geographic data, offset characteristics of multiple geographic areas are accurately analyzed, dynamic distribution optimization of data errors in a global range is achieved, hierarchical error division is combined with geographic boundary lines and multi-level data characteristics, difference values are accurately extracted, and area division is adjusted; the local feature correction optimizes error matching under a complex terrain by integrating a slope, a land type and a terrain parameter relationship, enhances terrain adaptability and detail precision, ensures high efficiency of large-scale data processing through nonlinear relationship fitting of residual values and optimization of a resource allocation proportion, and improves the accuracy of data processing. And meanwhile, the map updating response speed is increased.

An adhesive-applying detection method and an electrode sheet adhesive-applying system. The method comprises: controlling a light source to emit a stroboscopic light signal to a material to be subjected to detection; receiving an emitted light signal that is reflected back by said material due to the stroboscopic light signal, so as to form material image information; an upper computer determining, on the basis of the material image information, the contour of an adhesive-applying area of an electrode sheet and material boundary line information of the electrode sheet; and the upper computer verifying, on the basis of the material boundary line information, the correctness of the position of the contour of the adhesive-applying area, and obtaining a detection result. Since an adhesive-applying device moves continuously at high speed during an adhesive-applying process, and a collected image has a ghost due to the influence of a camera exposure time, making it difficult to accurately identify edges of the collected image, a material being irradiated by means of a light source avoids the problem of the imaging quality being lower due to rapid movement of the material while enhancing reflected light of the material, thereby improving the accuracy of adhesive-applying detection.

A display device and a display driving method are provided. In a display module, sub-pixels of a same color in adjacent rows are arranged in a staggered manner. The method includes: pre-storing a correspondence between a position of a sub-pixel in a bright-dark boundary region and a corresponding target gray-scale value, wherein a distance between the bright-dark boundary region and a boundary line of bright and dark pixels is within a predefined threshold, the bright and dark pixels are adjacent sub-pixels whose initial gray-scale difference is greater than a first predetermined gray-scale difference, and the correspondence is that the closer the position of the sub-pixel is to the boundary line of the bright and dark pixels, the lower the target gray-scale value is; and determining a current gray-scale value of the sub-pixel in the bright-dark boundary region according to the pre-stored correspondence.

A motion control method for an adaptive self-reconfigurable pipeline robot based on environmental perception includes: acquiring internal images of the pipeline for scene recognition, segmenting planar surfaces and curved surfaces in the images according to recognition results, and extracting boundary lines of the pipeline; calculating a straight-pipe width, a bent-pipe curvature, a slope angle, and a step height to analyze passability of the robot; designing a path planner and a swing-arm planner to generate a reference trajectory and a swing-arm angle sequence of the robot, performing smoothing, and inputting the reference trajectory and the swing-arm angle sequence into a model predictive control (MPC) motion controller; estimating a position and state of the robot through an Error State Kalman Filter (ESKF) algorithm, and inputting estimation results and collision warning signals into the MPC motion controller; and finally outputting a signal for control of a motor and a swing-arm motor.

The invention provides a tab excess material measuring method, device and system, and the method comprises the steps: firstly positioning a tab region of a tab image based on a gray threshold method and a morphological method, then judging the vertex angle shape of a tab based on the position coordinates of the tab region in the tab image, and then generating a boundary reference line of each boundary of the tab region; according to the intersection point position between the boundary reference lines, a plurality of detection areas capable of covering each boundary line of the tab area are generated, and then a gray threshold method and morphological operation are performed in the detection areas, so that the excess material boundary and the shape of each boundary are obtained. According to the tab excess material measurement method, excess material measurement of the corresponding tab, excess material determination and excess material size measurement can be completed only by shooting the to-be-detected tab image through the image acquisition device, in addition, the tab boundary is determined through the gray threshold value in the detection process, and therefore detection and measurement of tabs of different shapes can be met.

1. Name of the product of this design: shoe sole heel decoration. 2. Purpose of the product of this design: used for sole decoration of footwear products. 3. The design highlights of this design product lie in the shape, pattern and their combination defined by the solid line part in the view. 4. The picture or photo that best illustrates the key points of the design: main view. 5. This appearance design is a partial appearance design, in which the part shown by solid lines in each view represents the part of the product that needs to be protected; the part shown by dotted lines in each view represents the product environment, which is for reference only and represents the part of the product that does not need to be protected. The dotted lines shown in each view represent the boundary lines that define the parts of the product that need to be protected. It can be understood that the parts of the product that need to be protected extend within the range defined by the dotted lines but do not include the dotted lines; the rear view and top view of this design have been reflected in the three-dimensional view, so the rear view and top view are omitted.

The invention discloses a cultivated land parcel extraction method and system based on surface and line fusion and a medium, and the method comprises the steps: carrying out the region surface classification and land parcel extraction of initial land parcel data according to a preset SAM model, and obtaining land parcel-surface data; performing field ridge line extraction and boundary connection on the initial land parcel data according to a preset line model to obtain land parcel-line data; and performing surface-line fusion processing on the land parcel-surface data and the land parcel-line data to obtain a cultivated land parcel extraction result. According to the method, for the land parcels of different regions, the SAM model is used for extracting the region surfaces of the land parcels with different features, the line model is used for extracting the cultivated land boundary line, and then surface-line fusion is carried out to obtain the cultivated land parcel region with higher precision, so that accurate data support is provided for cultivated land protection.

The invention discloses an intelligent segmentation method based on multi-source geographic data fusion, and the method employs a combination method of a neural network technology, digital image operation and space vector operation to form a fusion updating method for current spatial geographic data, simplifies and fuses multiple boundaries to reduce invalid information, and improves the efficiency. And face graph segmentation is carried out by using the boundary lines extracted from the picture, so that an original geographic face graph is effectively updated by taking the remote sensing image as a reference. According to the method, the boundaries are converted into the images, re-extraction is carried out through a morphological operation method, equivalently, the boundaries which are very close in position are fused, and tiny deviation of the boundaries and the actual boundaries in the images is avoided.

The invention discloses a topological optimization design-oriented additive manufacturing path pretreatment method, system and equipment and a medium, and the method comprises the following steps: in a topological optimization process, carrying out the synchronous optimization of unit density and unit angle, and outputting an optimization result which comprises an optimal topological structure diagram and the density and angle of each discrete unit; processing the obtained discrete angle result by adopting a K-means clustering algorithm, dividing a plurality of regions, and obtaining a boundary of each region; for a zigzag boundary caused by grid division in the optimal topological grid chart, performing smoothing processing on the boundary by adopting an NURBS curved surface fitting technology; and combining the smoothed boundary line with the region boundary obtained by K-means clustering to generate a boundary line of each region, and filling each region with a straight line of a corresponding angle to generate a corresponding Gcode. According to the method, the consistency of the optimization result and the additive manufacturing process is realized.

The invention relates to the technical field of image enhancement, in particular to an intelligent abdominal B-ultrasonic data analysis system for gynaecology and obstetrics, which comprises an image acquisition module, an image analysis module, an algorithm optimization module and an image enhancement module, the image analysis module is used for acquiring gradient factors of pixel points according to gray difference among the pixel points in the ultrasonic image, performing region segmentation on the ultrasonic image, acquiring a boundary line in the ultrasonic image, and determining the gradient factors of the pixel points according to gray change conditions of all the pixel points from a starting point to an ending point in the boundary line in the vertical direction; obtaining a boundary area pixel point set; the algorithm optimization module is used for optimizing a gamma transformation algorithm by combining the position information of the pixel points in the pixel point set of the boundary area; the image enhancement module is used for image enhancement. According to the method, the enhancement effect of the gamma transformation algorithm on the abdominal ultrasound image is improved.

The invention discloses a farmland furrow three-dimensional point cloud data correction method and system based on a laser radar, and relates to the technical field of three-dimensional image processing based on the laser radar, in particular to a three-dimensional image geometric correction technology. The problems that original point cloud data directly obtained under the dynamic operation condition of an existing agricultural machine has geometric distortion, and the shape of a furrow cannot be truly reflected are solved; meanwhile, the problems that furrow quality evaluation seriously depends on low-efficiency manual means, the adaptability of an existing automatic technical scheme to an unstructured field environment is insufficient, and robust, real-time and high-precision perception of a real three-dimensional shape of a furrow cannot be achieved are solved. According to the method, dynamic tilt correction is carried out through real-time acquisition of point cloud and agricultural machine attitude information, boundary feature points are extracted, boundary lines are fitted, and a three-dimensional point cloud set of a single furrow is reconstructed by fusing a self-adaptive clustering algorithm of spatial prior. The method is suitable for the fields of farmland tillage and soil preparation quality detection, precision agricultural management, agricultural machinery intelligent operation and the like under the dynamic operation condition of agricultural machinery.

The invention provides a text recognition method and device, electronic equipment and a storage medium, and relates to the technical field of artificial intelligence, in particular to the technical field of deep learning and image processing. According to the specific implementation scheme, the method comprises the steps of determining an outer contour point set of a target text region according to a segmentation result of the bent target text region in a to-be-processed image; for each target point in a plurality of target points determined from the outer contour point set, determining an angular point of the target text area from the plurality of target points according to a position relationship between the target point and a central point of the target text area and a position relationship between adjacent target points; correcting a target text region sub-image defined by a boundary line of the target text region to obtain a corrected target text region sub-image, the boundary line being determined according to the angular point; and identifying a target text from the target text region sub-image.

The invention discloses a water area and resource quantity monitoring and predicting method and system based on a remote sensing technology, and belongs to the technical field of water resource monitoring. The method comprises the following steps: determining a water area range according to historical data of a research area and an on-site survey condition, and determining a research area range; the method comprises the following steps: respectively acquiring ground data and water depth and water surface elevation data by using an unmanned aerial vehicle and an unmanned ship, respectively processing to obtain a land DEM and a water area DEM, and fusing to form an all-terrain DEM; downloading satellite image data of the research area, and performing geographical registration on the satellite image data; in the geographically registered satellite image data, describing the boundary of the water area through visual interpretation; superposing the water area boundary to an all-terrain DEM, obtaining the elevation of each point on the water area boundary line, calculating the average elevation of the water area boundary, and calculating the water area and the water resource amount to obtain the historical water area and the water resource amount; and on the basis of the obtained historical water area and water resource quantity, utilizing an ARIMA model to predict future water resource quantity and water area.

The invention relates to the technical field of data management, in particular to a real-scene three-dimensional data management system based on cloud computing, which comprises a model verification module, a hierarchy generation module, a label collection module, an authority configuration module and a request sorting module. According to the method, through connectivity calculation and direction cosine similarity analysis based on boundary line segments, problem points with closed defects or direction mutation in component boundaries can be accurately recognized, a consistency index set is constructed on the basis, the accuracy of model integrity judgment is improved, and the accuracy of model integrity judgment is improved in combination with patch structure parameters and a weighted hierarchical evaluation method. According to the method, the regional detail hierarchy level can be accurately delimited, spatial pertinence differential expression of detail hierarchy configuration is realized, priority calculation is performed according to the number of access request times and a function task matching result, the component calling efficiency and the rendering response performance are improved, and the reasonability of service load optimization and cloud resource scheduling under the multi-terminal access condition is ensured.

The invention provides a dual-polarized SAR image building height obtaining method and device. The method comprises the steps that a dual-polarized SAR image containing a building is obtained through aerial remote sensing; determining the position of a near-end bright line of the building image according to the dual-polarized SAR image as a near-end horizontal first position of the building along the ground; determining a far-end horizontal second position of a boundary line of a shadow area of the building image according to the SAR image; and calculating the building height according to the flight height, the lower visual angle, the near-end horizontal first position and the far-end horizontal second position. According to the invention, the problems of complex calculation and poor precision in the prior art for obtaining the building height through a synthetic aperture radar wide area monitoring and measuring technology are solved.

The invention relates to the technical field of remote sensing image processing, in particular to a land consolidation boundary line division method and system based on machine vision. The method comprises the following steps: obtaining a plurality of superpixel blocks of a satellite remote sensing image; according to the elevation information distribution of different pixel points in each super-pixel block in the digital elevation model, obtaining the terrain height change degree of each super-pixel block; according to the elevation information difference between each pixel point in each super-pixel block and other pixel points in the corresponding neighborhood range in the digital elevation model and the gradient distribution of the corresponding pixel points in different directions in the digital elevation model, obtaining the overall water flow direction value of each super-pixel block; further obtaining the merging possibility between different super-pixel blocks; and obtaining a superpixel optimal block, and dividing the arrangement boundary line of the to-be-divided land region. According to the method, the superpixel segmentation process of the land region to be divided is accurately obtained, so that the accuracy of boundary line division arrangement is improved.

The invention discloses a well track control method, and relates to the technical field of oil and gas resource development. Comprising the following steps: selecting a characteristic value from measurement-while-drilling LWD data; predicting and identifying the characteristic values through a BP neural network to obtain upper boundary line data and lower boundary line data, and drawing a stratum profile map; constructing a drilling environment according to the stratigraphic profile map; determining an action award function according to the distance between the current position of the drill bit and the next target spot and the deviation angle; performing interactive training by adopting a deep Q network algorithm DQN to obtain a trained neural network model; in the process that the drill bit reaches the well bottom from the drilling point, the total value of the action reward function obtained by the trained neural network model is made to be maximum by continuously selecting control actions, the optimal drilling path of the drill bit is obtained, and the optimal drilling path of the drill bit serves as the optimal well track. Dynamic interaction of the drill bit and the drilling environment can be achieved, and the well track is controlled in real time to extend along the target reservoir to drill all target spots.

The invention relates to the technical field of electrical fault detection, in particular to a four-fusion integrated terminal fault detection system based on sensor analysis. The system comprises a data acquisition module used for acquiring voltage data and current data in a preset time period; converting the voltage data into frequency spectrum data; the scatter diagram acquisition module is used for acquiring the harmonic influence degree and the variation coefficient of the window by utilizing the window to slide on the frequency spectrum data and the current data respectively, and then constructing a scatter diagram; the weight calculation module is used for acquiring the confidence coefficient and the weight of the data points in the scatter diagram; the reference straight line construction module is used for establishing a minimum error quadratic sum objective function based on the weight of each data point, and calculating a first parameter and a second parameter so as to obtain a reference straight line corresponding to the linear regression model; and the anomaly detection module is used for constructing a boundary line parallel to the reference straight line so as to detect harmonic anomaly. According to the invention, faults caused by harmonic influence can be accurately detected.