77 results about "Ridge" patented technology

The invention provides a snow eave growth monitoring system based on terrain coupling and a dynamic evolution model, and relates to the technical field of mountain snow disaster monitoring. A sensitive area identification module is used for obtaining environment data of ridge terrain and a wind field, constructing a wind and terrain micro-scale coupling tensor field according to the environment data, and sending the wind and terrain micro-scale coupling tensor field to a dynamic evolution module; identifying a potential formation sensitive area of the snow eave according to a wind and terrain micro-scale coupling tensor field; and the dynamic evolution module is used for establishing a dynamic evolution model fusing pneumatic jump accumulation and a microcosmic sintering mechanism according to the identified snow eave potential formation sensitive area, simulating a snow eave generation and growth process according to the dynamic evolution model, and obtaining a structure expansion result generated by the snow eave according to simulation. According to the invention, a sensitive area identification module fusing a wind field and a terrain micro-scale coupling tensor field is constructed, and a snow eave structure evolution model, a multi-dimensional sensing data fusion mechanism and a zoning risk output module are combined, so that the growth process of a snow eave under specific terrain and meteorological conditions is dynamically described.

The utility model relates to the technical field of rainwater recycling, in particular to a hill and mountain stepped multi-span greenhouse rainwater recycling system which comprises a greenhouse, a rainwater tank, a downpipe, a low-level reservoir, a filter tank, a high-level reservoir, a ground recycling ditch and a stack retting tank. Rainwater enters the low-level reservoir along the downpipe, the rainwater is filtered through the filter tank, the rainwater entering the low-level reservoir is transferred into the high-level reservoir to be stored, rainwater on the ground near the greenhouse is recycled through the ground recycling ditch, the rainwater is filtered through the filter tank, and the rainwater enters the low-level reservoir. And the rainwater is transferred into the high-level reservoir for storage, so that the problems that the rainwater runoff is fast and the rainwater is difficult to collect in a centralized manner due to topographic relief of the existing rainwater recovery equipment in hills and mountains are solved.

The invention relates to the technical field of geotechnical engineering, in particular to a rock joint surface roughness measuring method and system. The method comprises the steps of firstly obtaining a triangular mesh of a rock surface; further based on the spatial distribution of the unit external normal vector in the global coordinate system, carrying out shielding detection on the local surface elements along a shearing reverse direction, and screening out potential contact surface elements; further analyzing each potential contact surface element in the global coordinate system, and calculating frictional sliding work in combination with preset working condition parameters; the rock mass supporting thickness is further obtained, and root cutting work is calculated in combination with preset working condition parameters and the projection area of the shear plane; root cutting work and friction sliding work are further compared, an energy consumption mode is marked, a shear energy consumption digraph is constructed, and equivalent shear resistance roughness is calculated, so that the problem that thin ridge bulges which are easy to cut off are counted into the roughness by mistake under high stress in a traditional method is solved, and stress-sensitive effective roughness measurement is realized.

The invention relates to the technical field of irrigation and water conservancy engineering, and discloses a karst mountainous area water retention and stabilization zoned ridge construction method and a ridge, and the method comprises the following steps: S1, digging a foundation trench along a ridge line of a pre-built upper terrace; s2, a load-bearing outer slope body surrounding the upper terrace is built in the foundation trench, and a through drainage hole is formed in at least one lateral section of the load-bearing outer slope body; s3, laying an inverted filter layer on the inner side of the bearing outer slope body; s4, the inner side of the inverted filter layer is filled and tamped with clayed soil in a layered mode, and an anti-seepage soil core wall is formed; s5, the bottom of the foundation trench in the area defined by the anti-seepage soil core wall is backfilled with planting soil; according to the construction method of the zoned ridge for water retention and stabilization in the karst mountainous area and the ridge, the series of problems that the ridge in the karst mountainous area cannot be stabilized, cannot be stored and cannot be drained smoothly are solved, and structural stability, efficient moisture retention and smooth drainage of the ridge in the karst mountainous area under complex hydrogeological conditions are achieved.

This invention belongs to the field of ecological reclamation and terraced field construction technology in mining areas, specifically involving a method for designing slope-to-terraced plots based on high-precision DEM data. Addressing the issues of insufficient accuracy of satellite remote sensing data and the time-consuming and labor-intensive nature of traditional surveying, this invention uses high-precision mountainous DEM data obtained from UAV aerial flights as a basis for automated slope-to-terraced plot design. Computer-automated plot design replaces manual plot design, and the design considers the elevation difference (i.e., ridge height), width, and ridge slope as variables to meet different regulatory requirements.

The present application relates to the technical field of pattern classification, in particular to a kind of open-pit mine retaining wall boundary automatic mapping identification method and system, comprising: obtaining original three-dimensional point cloud, by geographic fence filtering and downsampling preprocessing;Spatial gridding removes the ground point from the pretreated point cloud;Multiple execution random sampling consistency algorithm generates candidate ground fitting surface, selects optimal fitting surface according to rules, and is classified as ground point set and retaining wall point set;Principal component analysis is determined to ridge line trend for retaining wall point set, and retaining wall ridge line is obtained by coordinate transformation and bucket extraction method;Ground point set applies the same coordinate transformation, and Y-axis coordinate extreme point is extracted as boundary feature point according to the rule of bucket, and is connected to form retaining wall boundary line.The present application overcomes the problem of strong scene dependence and unstable results by adaptive decision-making ground fitting mechanism and rotation and collection method based on principal component analysis, outputs high-precision boundary line without topological error, and improves the reliability and intelligent level of excavator.

The invention provides an avalanche potential hazard area identification method and system based on multi-factor terrain constraints, and belongs to the technical field of avalanche prevention and control. According to the method, on the basis of a digital elevation model, a plurality of terrain factors such as gradient, curvature and roughness are synthesized, and a candidate area with avalanche starting basic conditions is obtained through multi-factor combined screening; in combination with vegetation coverage data, a vegetation zone with an obvious anti-sliding effect is removed; further performing geometric cutting and structural decomposition on the candidate region by using connected domain analysis, ridge structure identification, slope direction consistency judgment and region internal height difference analysis to obtain a small-scale slope unit which is more in line with an avalanche starting form; and finally, setting scale constraints according to avalanche development characteristics, and generating an avalanche potential hazard area map. According to the method, the avalanche hidden danger area in the large-range mountain area can be extracted, the avalanche hidden danger recognition precision is remarkably improved, and a reliable data basis is provided for avalanche dynamics simulation, risk assessment and protective engineering design.

The disclosure provides a decorative sheet 1 including a primary film layer 2 and a surface protective layer 5 provided to one side of the primary film layer 2, wherein the surface protective layer 5 has a surface provided with an uneven structure including a plurality of ridge portions each protruding in a ridge-like shape; in the uneven structure of the surface protective layer 5, a ratio Rdc / t between a cut level difference Rdc and a thickness t of the surface protective layer 5 is 0.15 or more and 0.44 or less; the thickness t of the surface protective layer 5 is 2 μm or more and 18 μm or less; and an absorption spectrum obtained from Fourier infrared spectrometry of the surface protective layer 5 has a ratio I1095 / I1725 of 0.65 or more.

The invention discloses a geological event classification-driven observation method and a geological event classification-driven observation system, which solve the technical problem of lack of dynamic regulation and control based on event classification in the prior art. The method comprises the following steps: collecting continuous seismic waveform data, and detecting and identifying a potential event segment by combining a multi-stage STA / LTA method with CUSUM accumulation and change point analysis; inputting the potential event segment into a pre-trained one-dimensional convolutional neural network model, performing signal identification and classification, and outputting an event category and confidence; fusing temperature and pressure time sequence data, and comprehensively judging an event type by utilizing a rule engine; according to the geological event type driving observation strategy, the sensor sampling frequency, the data transmission mode and the energy consumption configuration are dynamically adjusted. Through an innovative mechanism of geological event classification-driven observation, the limitation of a traditional observation mode on real-time performance and resource efficiency is broken through, differentiated observation response can be realized according to geological event types, the real-time performance, the accuracy and the energy efficiency of an observation system are remarkably improved, and the method is suitable for popularization and application. The method is especially suitable for long-term observation of complex seabed hydrothermal zones such as southwest Indian Ocean ridges.

To provide a work vehicle system for forming field ridges into the appropriate shape. [Solution] A work vehicle system according to one embodiment includes a controller. The controller generates an image of the ideal shape of the ridge using a generation AI based on information about the current shape of the ridge in the field and information about the shape of the ridge desired by the user, and generates an image of the estimated shape of the ridge that can be formed using the ridge plastering machine using a generation AI based on information about the current shape of the ridge, the image of the ideal shape of the ridge, and information about the ridge plastering machine that performs ridge plastering work in the field.

A columnar member able to absorb more energy at the time of collision without an accompanying increase in weight, that is, a columnar member 100 having at least a top plate 12 and two vertical walls 14, 16 connected to the top plate 12 at ridge parts 15 at both side edges 12a, 12b of the top plate and extending along the ridge parts 15, which columnar member having a bend inducing part 22 at least at part of the top plate 12 and having soft parts 14b, 16b at the two vertical walls 14, 16 at positions adjoining the ridge parts 15 and corresponding to the bend inducing part 22 in a direction of extension of the columnar member 100, the bend inducing part 22 being a part with a strength lower than the parts adjoining the bend inducing part 22 at the top plate 12, the soft parts 14b, 16b being parts with yield strengths lower than the parts adjoining the soft parts 14b, 16b at the vertical walls 14, 16, maximum lengths of the soft parts 14b, 16b in the direction of extension of the columnar member 100 being 0.01 time to 0.15 time the heights of the vertical walls 14, 16.

The invention provides a mountain heavy hill asymmetric heavy load cable crane prestressed rock anchor position calculation method, which is characterized in that traditional rock anchor position determination depends on repeated geological survey: geological data is obtained through large-area drilling, a primary selection position is judged in combination with experience, then supplementary survey verification is carried out, if the requirement is not met, site selection is carried out again, and if the requirement is not met, site selection is carried out again; the process consumes a large amount of time, the survey period of a single project usually reaches several months, the drilling difficulty in mountain areas is large, the cost is high, the construction period is easily delayed by repeated operation, and especially for asymmetric heavy load working conditions, rock anchor stress distribution is uneven, and a traditional experience method is difficult to accurately match geomechanical characteristics. According to the scheme, a mountain three-dimensional model is constructed to simulate terrain and geologic features, candidate rock anchor positions are quickly screened in combination with an optimization algorithm, and then model parameters are verified through a small amount of field survey, so that the drilling frequency can be greatly reduced, and the position determination period is shortened.

The application discloses a tunnel fault area reinforcing device and method of anchor plate and profile steel grid cooperative support, and belongs to the technical field of tunnel engineering support. The device comprises a planar anchor plate and a modular hinged profile steel grid arch, the anchor plate is anchored to the surface of surrounding rock through high-strength anchor rods, the profile steel grid arch is assembled by triangular splicing units through four-way hinged pieces, and is bolted with the anchor plate to form a cooperative stress system; the method comprises six fine steps of surrounding rock pretreatment, anchor plate anchoring, arch assembling, cooperative connection, concrete sealing and monitoring control. The application realizes integrated support of "surface anchoring + framework support", has convenient assembling, strong adaptability and uniform stress distribution, can effectively control the large deformation and collapse risk of V-grade surrounding rock and fault fracture zone, has high construction efficiency and strong support stability, and is suitable for reinforcing construction of fault sections of various mountain ridge tunnels and urban subway tunnels.

The utility model discloses a plate turning device of a climbing frame. The plate turning device of the climbing frame comprises an upper-layer turning plate and a lower-layer turning plate, a strip-shaped groove is formed in the upper-layer turning plate, an inverted-E-shaped fixing plate is arranged on the lower-layer turning plate, a convex edge in the middle of the inverted-E-shaped fixing plate is fixedly connected with the lower-layer turning plate, and gaps are formed between convex edges on the two sides of the inverted-E-shaped fixing plate and a plate body of the lower-layer turning plate. The upper-layer turning plate is arranged on the top side of the lower-layer turning plate, a middle protruding edge of the inverted-E-shaped fixing plate penetrates through the strip-shaped groove, and a plate body of the upper-layer turning plate is embedded between the protruding edges on the two sides of the inverted-E-shaped fixing plate and the lower-layer turning plate. In the on-site construction process, the climbing frame turning plate device can push the inverted-E-shaped fixing plate, drive the lower-layer turning plate and flexibly adjust the overall length of the turning plate according to actual needs, and can cope with a building body with large plane geometrical shape change and the standard turning plate length which cannot completely meet the requirement.

The application discloses a method and device for predicting strong wind risk of a power transmission line based on disaster-causing micro-terrain features, which preliminarily identifies a disaster-causing micro-terrain feature map representing valley areas, ridge areas and peak areas and weight values of the corresponding areas through a micro-terrain feature recognition model; then corrects or filters the valley areas, the ridge areas and the peak areas to update the disaster-causing micro-terrain feature map representing the valley areas, the ridge areas and the peak areas; then inputs the disaster-causing micro-terrain feature map into a high-risk micro-terrain prediction model to preliminarily identify high-risk dense areas; then inputs the identification results of the high-risk dense areas and meteorological data of power transmission line dense areas into a risk prediction model capable of reflecting changes of complex terrain areas and meteorological data to obtain high-risk prediction areas of power transmission line distribution under consideration of complex terrain and meteorological features, so that the strong wind risk prediction accuracy of the power transmission line in the complex terrain area is improved.

The invention belongs to the technical field of geological surveying and mapping equipment, and particularly relates to a main ridge line automatic extraction device and method suitable for mountain wind power plant development, and the device comprises an unmanned aerial vehicle and a collector installed on the unmanned aerial vehicle. The device further comprises a multi-stage cleaning mechanism which is used for cleaning the optical end of the collector so as to maintain the data collection effect of the collector. By arranging the impact assembly, when the unmanned aerial vehicle carries the collector to carry out field data exploration, dual protection is formed on the collector in a mode that a nozzle sprays airflow, so that the efficiency that internal dust is separated from the collector is improved, and the probability that external dust is attached to the collector is reduced; the protection effect on the optical end of the collector is achieved, and the accuracy of data collection is improved.

The invention relates to the technical field of electric power energy storage, and discloses a GIS-based mountain compressed air energy storage power station site selection method and system, and the method comprises the steps: obtaining first-stage data, second-stage data and third-stage data in a target mountain region; obtaining an alternative region based on the first-level data; obtaining a geological available area based on the secondary data; screening out mountains meeting conditions based on the secondary data, and constructing contours and main ridge lines of the mountains meeting the requirements; determining a mountain reference region, and calculating the area of the reference region; solving an optimal internal rectangle of the mountain reference area, judging whether the mountain reference area meets the requirements of the optimal internal rectangle or not, and determining a target available mountain; the score of the target available mountain is determined by integrating the second-level data and the third-level data, and the area with the high score is used as the final site selection; according to the method, the problems of insufficient accuracy, low timeliness and poor visualization of an existing site selection method are solved.

The application discloses a night residual layer height range detection method and system, and relates to the technical field of meteorological data analysis.The method comprises the following steps: acquiring a vertical profile of a particle extinction coefficient, wherein the vertical profile is profile data of the distribution of the atmospheric particle extinction coefficient with height; preprocessing the vertical profile to suppress noise and retain gradient change characteristics; performing continuous wavelet covariance transformation on the preprocessed vertical profile according to a wavelet function, generating a two-dimensional wavelet coefficient matrix, and calculating a wavelet energy spectrum diagram; extracting an energy spectrum ridge line representing the boundary of the night residual layer according to the wavelet energy spectrum diagram, and inversely calculating a lower boundary height and an upper boundary height according to the energy spectrum ridge line; and confirming the height range of the night residual layer according to the lower boundary height and the upper boundary height, and outputting a visual detection result according to the height range. The application can improve the accuracy and reliability of the night residual layer height range detection process.

The snow eave growth monitoring system based on a terrain coupling and dynamic evolution model provided in the application relates to the technical field of mountain snow disaster monitoring, and comprises a sensitive area identification module, a dynamic evolution module and a multi-dimensional sensing data fusion mechanism. The sensitive area identification module is used to acquire environmental data of a mountain ridge terrain and a wind field, construct a wind and terrain microscale coupling tensor field according to the environmental data, and identify a snow eave potential formation sensitive area according to the wind and terrain microscale coupling tensor field. The dynamic evolution module is used to establish a dynamic evolution model fusing aerodynamic saltation accumulation and microsintering mechanisms according to the identified snow eave potential formation sensitive area, simulate a snow eave generation and growth process according to the dynamic evolution model, and obtain a structure expansion result of snow eave generation according to simulation. The application dynamically depicts the growth process of the snow eave under specific terrain and meteorological conditions by constructing the sensitive area identification module fusing the wind field and the terrain microscale coupling tensor field, combining the snow eave structure evolution model, the multi-dimensional sensing data fusion mechanism and the partition risk output module.

The invention discloses a closed watershed hydrological data networked organization method based on a ridge line, and relates to the technical field of hydrology and geography, and the method comprises the steps: obtaining and collecting DEM data of a region where a target watershed is located, extracting the ridge line through the region DEM data in combination with a GIS, determining a research region boundary according to the ridge line, and delimiting the closed watershed; dEM raster data in the delimited research area is converted into a DEM vector point set in combination with a GIS, and a network topology structure is constructed according to the vector point set; and obtaining and collecting composite hydrological data of the target drainage basin, associating the collected hydrological data with the DEM vector point set according to the space coordinates, and storing the hydrological data into corresponding nodes of the network topology structure. According to the method, the accurate definition of the basin boundary, the networked expression of the topographic structure and the networked organization of the multi-source hydrological data are realized, and an efficient and uniform data basis is provided for the networked simulation of the hydrological process.

The application discloses a kind of based on mountain top geographical advantage sewage zero discharge spray evaporation method, belong to sewage advanced treatment and ultimate disposal technical field.The system will be wholely set in mountain top, ridge or other altitude significantly higher than the geographical position of pre-treatment unit and sensitive area.Spray evaporation field system includes with low-position clear water source connection high-pressure water supply system, atomizing nozzle array arranged in mountain top and intelligent control system.The method makes full use of the natural advantages of mountain top perennial wind, atmospheric diffusion condition is good, pre-treatment standard clear water is sprayed to high altitude by high-pressure atomization, realizes quick evaporation and zero liquid discharge.The core invention point is: by geographical high-position arrangement, natural ventilation evaporation efficiency is greatly strengthened, and mechanical ventilation energy consumption can be basically or completely saved;Utilize topographic relief to form natural environmental isolation zone, minimize the visual and odor impact of spray process on surrounding environment;And can realize intensive layout with the same built in mountain top biological treatment unit (such as three-dimensional natural ventilation biological membrane array tower) and potential energy sharing, build complete low-energy consumption mountainous area sewage zero discharge treatment system.

The invention discloses an elastic power distribution network planning method and digital system considering wind and rain microtopography coupling, and relates to the technical field of power system disaster prevention and planning, and the method comprises the steps: constructing a typhoon wind field model considering microtopography correction, recognizing ridge features based on a ridge recognition algorithm, and outputting a wind speed acceleration ratio; simulating spatial and temporal distribution of rainfall in combination with a corrected wind field and a terrain uplift effect, constructing a two-dimensional hydrodynamic rainfall flood waterlogging model, and outputting a ponding evolution process of each grid region; a combined failure model and a node failure probability function are constructed for an overhead line, an underground cable and power distribution node equipment, a typical disaster scene is generated and reduced after fusion, and a two-stage mixed integer stochastic programming model is constructed; and solving the two-stage mixed integer stochastic programming model by adopting an improved dual decomposition algorithm, and solving dual gap global optimum by combining branch and bound processing. According to the method, the expected power failure loss under the extreme event is reduced, and the toughness support under the extreme environment is improved.

The present application relates to the field of new energy development and construction, and discloses a mountainous wind farm wind turbine chain layout data optimization calculation method, comprising the following steps: S1: ridge line extraction and elevation driving vector construction, S2: starting point determination and initial direction calibration, S3: chain layout path planning, S4: wind turbine coordinate calculation, S5: application of wake effect suppression algorithm, S6: wind turbine screening, state marking and coordinate output. The present application constructs an elevation driving vector rule, extracts a ridge line elevation vector based on DEM data, makes the wind turbines present a chain distribution along the main terrain features, accurately adapts to the mountainous undulating morphology, and avoids wind energy loss caused by terrain obstruction. At the same time, combined with automatic chain planning, the wind turbine three-dimensional coordinates are automatically calculated by chain expansion along the ridge line from the starting point, which improves the complex mountainous data processing efficiency by more than 3 times compared with the traditional manual method, greatly shortens the preliminary design cycle, and significantly optimizes the layout efficiency.

The invention provides an automatic ridge line identification method and system based on hydrological analysis and density clustering, and the method comprises the steps: fusing the hydrological analysis with spatial clustering, elevation screening, morphological processing and other multi-step optimization, carrying out the automatic primary selection of ridge points through positive topography and zero convergence accumulation, and effectively removing noise and short branches through the combination of DBSCAN clustering and elevation quantile purification. A set of complete technical scheme of'preprocessing-positive terrain recognition-confluence analysis-clustering denoising-elevation screening-continuous optimization 'is constructed by utilizing a priority flood algorithm to efficiently fill pits and utilizing a skeletonization algorithm to optimize continuity, so that the adaptivity, geometric accuracy and processing efficiency of ridge line extraction are remarkably improved; a more reliable terrain skeleton data basis is provided for wind resource evaluation and fan site selection and layout, and finally the scientificity of wind power generation project planning and power generation capacity estimation is enhanced.

This invention provides a method, system, device, and medium for extracting ridgelines reflecting topographic features. The method includes the following steps: S1, extracting elevation data from a digital elevation model of the actual terrain within the study area; S2, resampling the elevation data with double the precision and arranging it into a matrix containing only elevation data; S3, performing wavelet decomposition on the elevation data matrix using different wavelet functions and decomposition levels, and reconstructing the low-frequency terms in the wavelet decomposition results; S4, comprehensively evaluating the low-frequency term reconstruction results based on signal reconstruction error and noise reduction level, and determining the optimal wavelet function and decomposition level; S5, filtering and denoising the elevation data matrix using the optimal wavelet function and decomposition level; S6, extracting topographic ridgelines from the denoised elevation data matrix using an eight-neighborhood relative elevation discrimination method. The method provided by this invention is applicable to better understanding mountainous terrain in the design of mountain transmission lines.

This invention discloses a method, system, and application for fine characterization of multi-scale sedimentary cycles facies space. This method combines variational mode decomposition (VMD) with synchronous compression optimal basis wavelet transform (MCB) to propose a workflow for multi-scale sedimentary cycle characterization. First, the relationship between geological structures at different scales and intrinsic mode functions (EMFs) is theoretically derived, and a method for determining the number of EMFs is proposed. Considering computational efficiency and the lateral continuity of the decomposition results, the variational mode decomposition algorithm is improved by determining the number of EMFs and their center frequencies based on the smoothed reflection coefficient amplitude spectrum. Based on this, multi-scale sedimentary cycle characterization is achieved by combining MCB with ridge extraction. The key parameters in the processing of this invention are all extracted from seismic data, making the operation simple, computationally fast, and suitable for processing massive amounts of seismic data. This provides an important tool for subsequent sequence stratigraphy research.

The invention discloses an intelligent evaluation method for a common safety situation of power facilities in a forest region based on multi-source sensing fusion, and relates to the technical field of intelligent evaluation for operation safety monitoring of the power facilities, and the method comprises the following steps: forming a triple positioning reference by using a tower anchor point, a lead centroid and a terrain ridge line; establishing a continuously traceable topology perception alignment context under the condition of a unified coordinate system and a unified time threshold; and performing differential texture calculation on the multi-source sensing data in the adjacent time periods based on the topology sensing alignment venation to form an offset boundary, recording offset nodes and offset areas in a time sequence, and constructing an offset directory. According to the method, multi-source sensing data drift is inhibited by establishing a continuously aligned spatial context, so that risk identification is performed based on a real position; and meanwhile, stable operation of the line in the risk is kept through virtual identity, a lossless response script and continuous regulation and control actions, dynamic deviation correction under the condition of continuous supply is achieved, and safety situation management is turned to full-process active control.

The application relates to the technical field of land layout, and discloses a land reclamation project automatic rapid layout method and system based on a BIM platform, which comprises the following steps: acquiring site topographic data of a digging area, obtaining a field original landform BIM model based on the data, screening, so that the screened field original landform BIM model does not contain an over-slope area, arranging terraces according to contour lines to obtain a field line, grouping according to the height of the contour line interval of point cloud data, calculating a field surface design elevation, establishing a preliminary terrace model based on the field line, the gross width of the terrace and the field surface design elevation on the basis of the field original landform BIM model, and establishing a field ridge and ridge model according to the field surface net width, the field ridge width and the field ridge height on the basis of the preliminary terrace model. The application provides a convenient, rapid and intelligent field distribution scheme for a land leveling construction project in a hilly area, so that fine regulation and construction of terrace terraces in the hilly area are realized.

The utility model relates to the technical field of mountain top and ridge assembly, in particular to an integrated mountain top and ridge connecting piece which comprises a mountain top and ridge connecting piece body, fixing plates are installed on the side walls of the two sides of the mountain top and ridge connecting piece body, first threaded grooves are formed in the two ends of each fixing plate, and screws are installed in the first threaded grooves. Second threaded grooves with the same size are formed in the positions, corresponding to the first threaded grooves in the two ends of the fixing plate, of the side wall of the peak ridge connecting piece. The fixing assemblies are arranged at the two ends of the mountain tip and ridge connecting piece body, and the fixing assemblies are used for fixing the mountain tip and ridge connecting piece body to the girders on the two sides of the mountain tip and ridge connecting piece body. The problems that a mountain tip ridge connecting piece is insufficient in size precision, assembly complexity, component strength and waterproof performance are solved.