51 results about "Subdivision" patented technology

The invention discloses a high-sublevel subdivision mining method of a moderately thick heavy-pitch waste-rock-containing interlayer phosphate orebody along a strike. The high-sublevel subdivision mining method comprises four steps of exploiting, mining preparation, cutting and recovery, wherein a footwall intermediate-section main roadway is respectively arranged on a high sublevel along a top plate and a bottom plate of the orebody, and the intermediate-section main roadways of the top plate and the bottom plate are connected through a communication channel at intervals of 100m, therefore reduced roadway cutting construction, small development rate and simple process are achieved; after overall blasting of a stope is finished, a large amount of concentrated ore drawing is carried out, and the production efficiency is high; tail sand is adhered and filled after space pillars are mined first, then rooms are evacuated, and the rooms are filled with waste rocks or tail sand in a non-adhering way, thus recovery rate is high; and the high-sublevel subdivision mining method has little damage to the environment and capabilities of changing oredressing tail sand and waste rocks generated in open-air production into valuables and reducing geological disaster from happening. Due to the adoption of the high-sublevel subdivision mining method disclosed by the invention, ore recovery rate can be increased, ore dilution rate and emission of mine wastes are reduced, capacity of slag disposal pit is relatively increased, expropriation of land is decreased, and mineral land harmony is promoted.

The invention discloses a construction engineering project progress prediction system and method based on deep learning, which belong to the field of the construction industry. A model building process comprises the steps of extracting historical data; performing data cleaning, correction, supplement and regularization processing on the historical data to obtain to-be-trained data; constructing aninitial prediction model and carrying out training; verifying the model according to the special data, and outputting the initial prediction model passing the verification as a progress prediction model; the progress prediction process comprises the steps of obtaining current actual project information and inputting the current actual project information into the progress prediction model, and predicting predicted project progress information associated with the actual project information. The method has the beneficial effects that a set of progress prediction method suitable for different subdivision fields and scenes is established, historical data are preprocessed and processed through a deep learning algorithm, meanwhile, a special scene is simulated emphatically, a corresponding prediction result is output as the special scene needing to be considered in progress prediction, and an early warning prompt can be given.

The invention discloses a subdivision suction bucket-shaped foundation for preventing hole blocking by soil plug and reverse grouting. The subdivision suction bucket-shaped foundation comprises a suction bucket and water pumping installation equipment. The suction bucket comprises a suction bucket top plate, an outer bucket wall, an inner bucket wall and compartment rib plates, wherein the suctionbucket top plate, the outer bucket wall, the inner bucket wall and the compartment rib plates are fixedly connected, and the inner bucket wall and the compartment rib plates divide the suction bucketinto an inner side compartment and a plurality of outer side compartments. The subdivision suction bucket-shaped foundation further comprises a soil plug baffle, a soil plug detection device, a waterthrough hole and a geotextile filter screen. A filter screen is arranged in the foundation, and the hole blocking phenomenon possibly occurring in the injection process is prevented. The soil plug baffle and the detection device are arranged in the foundation, whether the height of the soil plug in the bucket exceeds the limit or not can be monitored in real time, and when the whole height of thesoil plug reaches the soil plug baffle, constructors can stop further suction injection according to monitoring data and then perform reverse grouting to fill gaps. Slurry injected into the bucket can ensure that a top cover of the suction bucket is in complete contact with the soil body, so that the installation quality of the suction bucket is improved, and the bearing capacity of the suction bucket and the safety of the bucket top plate structure are further ensured.

The invention discloses a pedestrian trajectory prediction method based on multi-subdivision feature control, and the method comprises the following steps: carrying out the calculation based on an observation trajectory sequence, and obtaining a motion trend feature, an interaction feature, an end point implicit feature and a future trajectory prediction end point of each subdivision feature; a multi-subdivision feature fusion module is designed based on the motion trend features of the subdivision features, trajectory prediction trend features are obtained through calculation, and a future trajectory sequence is obtained through prediction based on the prediction trend features; and calculating a prediction error based on the prediction trajectory sequence and the real trajectory sequence, and adding rule constraints of a mutual information error and an end point prediction error to obtain a total error after the rule constraints are added. According to the invention, the features contained in the historical observation sequence are subdivided and expressed, the subdivided features are subjected to progressive feature fusion layer by layer, the training process is constrained based on the model error added with related rules, and finally the pedestrian trajectory prediction method with high prediction precision and high interpretability is formed.

The invention provides a typical driving condition construction method, a related device and a computer storage medium, and the typical driving condition construction method comprises the steps: firstly, obtaining a target market data set; then, preprocessing data in the target market data set to obtain at least one target data set; and finally, for each target data set, inputting the target data set into a typical driving condition construction model to obtain a typical driving condition corresponding to the target data set, wherein the typical driving condition construction model is obtained by training a Markov-Monte Carlo model based on a non-uniform grid through a combination of at least one model and a training sample subdivision market and original working conditions corresponding to various types of indexes of the training sample subdivision market. Therefore, the purpose of accurately constructing typical driving conditions is achieved.

The invention discloses a tailing slag multi-subdivision group screen, and relates to the technical field of tailing slag separation. Aiming at solving the problem that effective available componentsof slag cannot be effectively separated and recycled in the prior art, the invention provides the following scheme that the tailing slag multi-subdivision group screen comprises a base, wherein a rotating motor is fixedly mounted on the inner wall of the base; a spiral rod is fixedly connected to the output end of the rotating motor; an overflow tank is fixedly installed at the top of the base; the left end of the spiral rod is rotatably connected onto the inner wall of the left side of the overflow tank; a sleeve barrel is fixedly installed on the upper surface of the base; a hopper is fixedly connected to the top end of the sleeve barrel; the sleeve barrel is fixedly connected to the exterior of the spiral rod in a sleeving mode; and a filter screen is movably arranged at the bottom of the overflow tank. According to the tailing slag multi-subdivision group screen provided by the invention, components with different densities of the tailing slag are effectively separated and serve asprepared materials for building material production, so that the tailing slag is made to achieve the maximum benefit, meanwhile, emission of filtered sewage is reduced, and water resources are saved.

The invention discloses a parameterized slope model automatic construction method based on a subdivision technology. The method comprises the steps of acquiring a slope calculation range surface; performing grid segmentation on a slope calculation range surface; carrying out unit-by-unit subdivision operation on the differential units after grid segmentation to obtain a projection surface of eachdifferential unit and attributes of the projection surface; constructing a three-dimensional body block unit based on the projection surface attribute of each differential unit; and verifying the vertex coincidence error of each three-dimensional body block unit, and combining the body block units to construct a complete slope model. The method has the advantages that the method is not limited bydata types and slope design types, and the time can be shortened by 60%-70%; the scheme effect can be visually and rapidly obtained, design scheme defects are found, and the scheme adjustment frequency is reduced.

The invention discloses a method for planning and organizing traffic in a water conservancy and hydropower station based on live-action modeling and BIM. The method comprises the following steps: 1, constructing a site excavation three-dimensional model; 2, carrying out fine subdivision processing and planning partition on the excavation model in combination with a construction organization design scheme; 3, organizing an intra-site transportation route preliminary scheme in combination with partition and site conditions; 4, simulating an excavation transfer process based on BIM software, and sorting and analyzing the road transportation intensity; 5, evaluating the reasonability of the scheme by adopting a Delphi method; 6, adjusting the design scheme; and 7, sorting simulation results to form a road transportation strength database. According to the invention, the problems of insufficient line function coordination and the like existing in the existing intra-site traffic planning organization and road design are solved; the method has the advantages of accurately simulating the transfer strength and engineering quantity of each subarea, improving the rationality of an intra-field traffic planning organization scheme and reducing the risk of engineering investment increase.

The invention provides a BIM (Building Information Modeling)-based parameterized building facade design method, a facade component and a skin model. According to the design method, Rhino and Grasshopper software are applied on the basis of BIM, and a pixelated grid 2D normal projection 3D curved surface space grating geometric subdivision method is adopted; the method specifically comprises the six steps of extracting pixel grid points and 2D grid intersecting lines, constructing a building facade texture of an overall space body block, reconstructing a body block model of the overall space body block, further reconstructing a deepening model of the overall space body block, reconstructing a parameterized facade texture skin component and reconstructing a building skin model. The facade component is obtained through the design method and comprises a component body, the component body is formed by assembling a pair of triangular prism-shaped grids and a connecting piece arranged between the pair of triangular prism-shaped grids, the connecting piece comprises a cushion block and a connecting shaft embedded in a through hole in the cushion block, and the cushion block is embedded between the pair of triangular prism-shaped grids; sealing plates are arranged at the upper and lower ends of the component body. The method can guide the mass production of novel building industrialization.

The invention relates to a cavity subdivided type offshore infrastructure and a construction method thereof and aims to provide the cavity subdivided type offshore infrastructure which is simple in structure, convenient to construct and low in cost and the construction method thereof so that horizontal displacement can be reduced. According to the technical scheme, the cavity subdivided type offshore infrastructure is characterized in that the cavity subdivided type offshore infrastructure comprises a steel tube foundation pile and a cavity structure mounted on the steel tube foundation pile in a sleeving mode; the cavity structure is provided with an inner subdivision wall, an outer subdivision wall and partition subdivision walls; the inner subdivision wall is in a round tube shape, the inner wall of the inner subdivision wall is matched with the outer diameter of the steel tube foundation pile, and a gap is reserved between the inner subdivision wall and the steel tube foundation pile; the inner subdivision wall is sleeved with the outer subdivision wall coaxially; and the inner subdivision wall and the outer subdivision wall are connected through the multiple evenly distributed partition subdivision walls between the inner subdivision wall and the outer subdivision wall. The cavity subdivided type offshore infrastructure is suitable for infrastructures of the industries of offshore wind power, offshore platforms and port water transport and belongs to the technical fields of foundation infrastructures and construction.

The invention provides a flood grading early warning method based on a cesium model. The flood grading early warning method comprises the following steps: establishing a simulation scene model in cesium software; calculating to obtain an actual river range and a flow function of the river; calculating to obtain the position of a connection section required for constructing the river surface; calculating to obtain a coordinate-based water level elevation of each section point position at a fixed moment by using a flood routing model; performing limited triangle division on the connection section to form a three-dimensional grid curved surface; simulating the time and the flow direction of the flood by using a dynamic texture mapping method; flood drawing; and performing graded early warning on the building. By adopting the technical scheme of the invention, the flood is efficiently and accurately simulated through a computer, the semi-Lagrange implicit integral method is applied, the volume conservation and momentum conservation laws are introduced, and the adaptive grid surface subdivision technology and the texture tiling technology are introduced, so that the flood disaster assessment and early warning model is constructed, and the flood disaster assessment and early warning efficiency is improved. The method is of great significance in restraining flood spreading and protecting important buildings.

The invention provides a calculation method for calculating a recheck sponge index by using a micro-partition/volumetric method. According to land parcel topography, buildings, current situation pipenetworks and related facilities, drainage subareas are subdivided into micro subareas, the area of the underlying surface and the adjustment water storage amount of the LID facilities are subjected todetailed statistics by dividing the micro subareas, and the matching condition of the water storage volume of the LID facilities and the actual surface runoff afflux amount can be accurately judged;a large deviation value between the designed water storage capacity and the actual water storage capacity is avoided; and measures can be taken for the discovered problems, and the design is guided tobe optimized, so that the effect of each LID monomer is brought into full play, low-efficiency or even inefficient LID monomers are avoided, or the requirement that the actual water storage capacitycannot reach the set surface runoff control target due to the fact that the actual water storage capacity cannot reach the set surface runoff control target is avoided.

The invention provides a building skin curved surface grid construction method and device, equipment and a storage medium. The building skin curved surface grid construction method comprises the steps of determining a main structure strip and a segmentation curved surface in a building skin curved surface; setting a first node and a second node in the main structure strip, and setting a third node in each segmentation curved surface; constructing a skin triangular manifold grid based on the first node, the second node and the third node; based on the midpoint of each grid edge of the skin triangular manifold grid, determining a corresponding skin subdivision node located on the curved surface of the building skin; skin subdivision nodes corresponding to the grid edges located on the same triangular face in the skin triangular manifold grid are connected, and skin subdivision grid edges are obtained; the skin subdivision mesh edge comprises a first subdivision mesh edge and a second subdivision mesh edge; the subdivision mesh edges are adopted to construct the skin curved surface mesh, the first subdivision mesh edge is used for constructing a main structure of the skin curved surface mesh, and the second subdivision mesh edge is used for constructing a slave structure of the skin curved surface mesh.

The invention discloses a group rental house identification method based on fine-grained energy consumption data, and the method comprises the steps: 1, carrying out the hierarchical subdivision of electric appliances through integrating the electric appliance functions, the use number and the use frequency of residential users, and selecting subdivided electric appliances for group rental house identification; 2, acquiring fine-grained energy consumption data of the subdivided electric appliance selected in the step 1 and performing preprocessing; 3, extracting electricity consumption behavior characteristics of the residential users, wherein the electricity consumption behavior characteristics comprise electricity consumption characteristics, variation characteristics and fluctuation characteristics; 4, configuring the characteristic index weight of the power consumption behavior characteristics extracted in the step 3 by adopting a CRITIC weight method; and 5, based on the power consumption behavior characteristic values and the weights thereof, analyzing the power consumption behavior characteristic quantity of each cluster in a clustering result by adopting a clustering algorithm based on an SOM neural network, and identifying suspected group house renting users and normal resident users. According to the invention, assistance can be provided for screening and fighting the group renting phenomenon, and the electricity utilization and living safety of residents can be improved with assistance.

The invention relates to the technical field of construction waste treatment, discloses a waste recycling device for energy-saving building construction. The waste recycling device solves the problem that when building waste in the current market is recycled, the building waste needs to be screened according to the thickness degree, large-size building materials need to be crushed, due to the fact that existing material screening effect is poor, only small materials are screened, accordingly, the screening effect of the building materials is affected and not fine enough. The waste recycling device comprises a supporting bottom plate, wherein a screening support is arranged at the top of the supporting bottom plate, two transmission rollers are rotationally connected into the supporting bottom plate in a sleeved mode, and the two transmission rollers are symmetrically distributed with the axis of the supporting bottom plate as the center. According to the waste recycling device for energy-saving building construction, the building waste on a screening plate can be vibrated, screened and conveyed, the building waste can be crushed step by step, a subdivision screening plate is driven to vibrate, and therefore the building waste falling from the screening plate can be finely screened.

The invention discloses a building volume data estimation method and device, equipment and a storage medium, and the method comprises the steps: carrying out the ground point filtering of dense matching point clouds of a building region, and obtaining non-ground point clouds; clustering horizontal point clouds in the non-ground point clouds, and removing non-roof surface point clouds of point cloud patches obtained through clustering from a grid plane; determining a topological relation between the point cloud patches based on the grid plane, carrying out building division, and carrying out structured segmentation on building monomers in a building to obtain a point cloud extraction result; carrying out contour vectorization and eave correction on the building; subdividing the building, and obtaining a structure vectorization result including balcony structure information and floating building structure information based on a section contour obtained through subdivision and a contour vectorization result obtained after eave correction; and estimating building volume data according to the point cloud extraction result and the structure vectorization result. According to the invention, automatic estimation of the building volume data can be realized, and the efficiency of obtaining the building volume data is improved.

The present invention claims a method for automatically extracting and classifying remote sensing image scenes based on a convolutional neural network. The main innovation is to modify the input feature map of the deep neural network in general and increase the data dimension. It mainly solves the problem that the resolution of remote sensing images is gradually increasing. For the classification of some confusing scenes such as residential areas, parks, roads, etc., it may appear that due to the limitation of the number of training samples, it is impossible to effectively extract features in further subdivision. For example, subdivide sparse residential areas and parks, dense residential areas and dense commercial areas in residential areas. The present invention uses deep learning or other methods to classify the remote sensing images to be classified pixel by pixel, and uses the classified result thematic map as a part of the feature map and the original scene map to be spliced ​​into the neural network for training and classification, so that the neural network It can fully learn the scene features and improve the accuracy of classification and recognition.

The invention discloses a multi-subdivision composite barrel type foundation and a construction method thereof in the technical field of composite barrel type foundations for offshore wind power, and the multi-subdivision composite barrel type foundation comprises a barrel body with a closed top end and an open bottom, a radial cabin plate radially arranged in the barrel body, and an inner ring cabin plate and an outer ring cabin plate coaxially arranged in the barrel body, and the barrel body comprises a barrel cover and a barrel wall; a plurality of inner ring sub-cabins which are evenly distributed in the circumferential direction are formed among the inner ring cabin plate, the outer ring cabin plate, the cylinder cover and the radial cabin plate, and a plurality of outer ring sub-cabins which are evenly distributed in the circumferential direction are formed among the outer ring cabin plate, the cylinder cover, the cylinder wall and the radial cabin plate. The inner ring cabin plates and the outer ring cabin plates are arranged in the cylinder, the number of the annular cabin plates is increased, an inner cavity of the cylinder can be divided into more subdivision structures, the contact area of the cabin plates and a foundation can be increased through the increased subdivision structures, then the side friction resistance of the cabin plates is improved, and the bearing capacity of an upper soft soil foundation is enhanced; and the application range of the barrel type foundation is expanded.

The invention discloses a GIS-based asset statistical method, which comprises the following steps of S1, realizing gridding and visual expression of asset statistics; S2, performing gridding primary division on a region where a unit is located, and performing secondary subdivision according to landforms, buildings, structures and the like on the basis of primary division grids; S3, managing public house land through gridding thinking, carrying out primary grid division on each region through data acquisition and database establishment of various public houses, and positioning house buildings into primary grid division grids; S4, establishing an asset visualization system, regularly collecting and updating equipment images by using a maintenance unit, and determining the current situation of equipment furniture. According to the three-dimensional visual management platform based on the GIS, three-dimensional pipeline management, three-dimensional asset statistics, three-dimensional scene energy management and control, visual asset management, track distribution, a real-time navigation system, safety management and control and the like completely appear in a three-dimensional visual management mode, and asset safety is better protected.

The invention discloses an intelligent garbage classification can system which comprises a plurality of classification boxes, a plurality of small rail garbage cans arranged in the classification boxes, a plurality of large rail garbage cans arranged on a six-direction rail and the six-direction rail in butt joint with all the classification boxes. According to the invention, rail garbage classification cans, marks, classification knowledge and the like are set in households of residents for a long time, so that the residents are prompted to develop a good garbage classification delivery habit all the time. The classified garbage is directly connected with each garbage recycle bin and each garbage treatment plant from the source of residents, and a plurality of intermediate transfer links are cut off, so that a large amount of various labor costs and hardware costs can be saved. Overground manual garbage classification and collection vehicle transportation is upgraded to aerial rail automatic garbage classification unmanned transportation, and the 24-hour transportation efficiency is ultrahigh. Different kinds of garbage can be vertically subdivided and transported, and urban environmental protection can be promoted.