1996 results about "Land utilization" patented technology

Agricultural operations by applying flexible manufacturing software, robotics and sensing techniques to agriculture. In manufacturing operations utilizing flexible machining and flexible assembly robots, work pieces flow through a fixed set of workstations on an assembly line. At different stations are located machine vision systems, laser based raster devices, radar, touch, photocell, and other methods of sensing; flexible robot armatures and the like are used to operate on them. This flexible agricultural automation turns that concept inside out, moving software programmable workstations through farm fields on mobile robots that can sense their environment and respond to it flexibly. The agricultural automation will make it possible for large scale farming to take up labor intensive farming practices which are currently only practical for small scale farming, improving land utilization efficiency, while lowering manpower costs dramatically.

A method and system for creating, using, and managing a three-dimensional digital model of the physical environment combines outdoor terrain elevation and land-use information, building placements, heights and geometries of the interior structure of buildings, along with site-specific models of components that are distributed spatially within a physical environment. The present invention separately provides an asset management system that allows the integrated three-dimensional model of the outdoor, indoor, and distributed infrastructure equipment to communicate with and aggregate the information pertaining to actual physical components of the actual network, thereby providing a management system that can track the on-going performance, cost, maintenance history, and depreciation of multiple networks using the site-specific unified digital format.

A system architecture for large concentrated solar power applications that increases heliostat utilization efficiency and land utilization efficiency is described. Embodiments of the invention include a large heliostat field in which are distributed a number of receiving locations, and wherein there is the assignment of heliostats to receiving locations is dynamic. Embodiments of the invention include dynamically targeting heliostats to receiving locations wherein the target determination process is performed frequently during operation and wherein such dynamic targeting can be utilized to various ends. Embodiments of the invention include configurations wherein cosine losses associated with heliostat pointing are significantly reduced, wherein heliostats may be closely packed without incurring substantial shadowing and blocking losses thereby significantly increasing land utilization, and wherein other benefits are realized.

The present invention comprises a method for forecasting future economic conditions, land utilization and transportation network utilization and performance of a metropolitan area having a plurality of economic zones, the method includes the steps of: a) receiving a set of calibration values from a first input device; b) calculating a set of calibration constants with a first arithmetic logic unit; c) receiving a set of initial values for a set of desired outputs from a second input device, wherein the set of desired outputs includes regional economic, land use and transportation outputs; d) calculating the regional economic and land use outputs with a second arithmetic logic unit, wherein the regional economic and land use outputs include a first group of variable travel demands; e) calculating an origin to destination matrix with a third arithmetic logic unit, wherein the origin to destination matrix includes two-way daily person trips between an origin economic zone and a destination economic zone; f) calculating the transportation outputs with a fourth arithmetic logic unit, wherein the transportation outputs include a second group of variable travel demands; h) repeating steps d) through f) until the first group of variable travel demands is substantially the same as the second group of variable travel demands; and, g) providing the set of desired outputs to an output device.

The invention provides a modeling method of the characteristics of population space-time dynamic moving based on multisource data fusion. The modeling method comprises: A. inputting map data, mobile phone locating data and floating vehicle data into a system and managing data organization according to requirements; B. establishing a spatial analysis model of the characteristics of population moving based on the mobile phone locating data and the floating vehicle data; C. applying the spatial analysis model of the characteristics of the population moving to carry out multisource data fusion of the map data, the mobile phone locating data and the floating vehicle data to obtain integrated information of the characteristics of the population moving; and D. analyzing the characteristics of various population moving according to the integrated information of the characteristics of the population moving and publishing an analyzed result by the geographic information system. The modeling method can acquire data of urban population space-time dynamic distribution and moving characteristics with large data amount, high quality and space-time characteristics, obtain basis of accurate population distribution and population moving characteristics, and provide decision-making supports for urban planning, land use planning, transportation planning and the like.

The invention provides a method and apparatus for monitoring the use of land. More specifically, the invention monitors the use of land at a specified site, as well as at adjacent sites. The system continuously receives new land use data, The system identifies land use events at the specified site and filters these monitoring hits against alert criteria. The system then generates alerts to specified parties. Based on these alerts, proactive steps of intervention can be undertaken. The invention answers the question of how to manage risks relating to the use of land resulting from external activities and how to intervene proactively.

A guidance system for an agriculture platform that is capable of making decisions concerning the platforms direction and velocity regarding the pathway the platform is moving along as well as obstacles in the path of the platform, is provided. The autonomous agricultural platform guidance system and method will make it possible for small scale farming to take up automated mechanical farming practices which are currently only practical for large scale farming thus improving land utilization efficiency while lowering manpower costs dramatically.

The invention discloses a coastal city time sequence land utilization information extracting method. The method comprises the following steps: acquiring a remote-sensing image Landsat, and preforming atmospheric correction on the same; constructing a remote-sensing classification feature index database by selecting a group of remote-sensing classification features; acquiring data elevation image DEM data to obtain elevation data and slope data; constructing a decision rule of single-classification feature index or multiple classification feature indexes according to different land utilization types of the coastal city based on a multi-feature decision tree model, classifying the coastal city land utilization step by step according to the rule, and finally determining various branches of the decision tree, detecting the time sequence remote-sensing image change, and distinguishing a mistaken classification land type and a missed classification land type, wherein the method further comprises the content of two parts: evaluating classification precision, and outputting the land utilizationclassification map extracted based on the decision tree model. By use of the extracting method disclosed by the invention, the coastal city land utilizationclassification precision can be greatly improved, and a key problem in the coastal city land utilizationclassification is solved.

The invention relates to a method for analyzing a traffic network, comprising the steps of: importing, organizing and managing geographic data, mobile phone base station positioning data, road network data and public transportation net data to obtain base data; comprehensively processing the base data and establishing a population travel time-space characteristic model to obtain the comprehensive data; and analyzing the traffic management according to the comprehensive data. In combination with the mobile phone base station positioning data, the public transportation network data, the road network data, and the like, the traffic network analysis method ensures that the population travel information dynamic change is obtained, the traffic information based on the population travel characteristic is found, and the service quality reliability is analyzed through a traffic topology network, traffic accessibility and relative analysis. The invention provides convincement and effective decision support for traffic management, traffic plan, land utilization planning, urban planning, and the like, can effectively improve the use ratio of public traffic and a road network, relieves the pressure of the urban traffic, and provides a method for solving the problems in traffic management and traffic planning.

The invention discloses a functional bioorganic fertilizer and a semi-organic fertilizer and a preparation method thereof. The method comprises the following steps of: adding microzyme into livestock manure to perform anaerobic and aerobic fermentation; deodorizing, drying and crushing (after biogas slurry of residues after fermentation in a methane tank is separated, the biogas dregs are dried and crushed); adding a certain amount of humic acid, amino acid, borax, ammonium molybdate and zinc sulfate, or also adding nitrogen, phosphor and kalium inorganic nutrients; automatically blending materials by using a computer according to a proportion; after uniformly stirring, granulating by using a granulator, and drying, cooling and screening the grains; and coating a synergist and nitrogen-fixing, phosphorous-dissolving and potassium-releasing composite bacteria on qualified grains to prepare the functional bioorganic and semi-organic fertilizers. The product has the functions of preserving moisture and fertility, resisting drought, coldness, plant diseases and insect pests and the like, improves the soil structure, promoting the proliferation of beneficial microorganisms in soil, jointly participating substance circulation of a soil ecosystem and the like, has quick response and long effect, is mainly used as a base fertilizer for crops to save time and manpower, can realize waste recycling, protects ecological environment, integrates land utilization, land nourishment and land protection, and ensures constant soil productivity.

The invention discloses a stationary satellite-based fire remote sensing and monitoring method which solves the problem of automatic extraction of fire points in a forest and grassland, monitoring of a fire spreading situation and estimation of fire loss based on a stationary satellite. The method comprises the following steps: acquiring stationary satellite data, and calculating brightness temperature of image elements; judging latent fire point image elements from non-cloud and non-flare image elements in land image elements by using a method of a brightness temperature threshold value, and performing statistical judgment on the fire point image elements according to wave band information of background window image elements; culling out all-year-round high-temperature fire points based on a fixed fire point library and land utilization type data, and extracting positions and brightness temperatures of forest fire and grassland fire; providing a fire spreading situation sequence according to forest fire and grassland fire remote sensing and monitoring results of observation frequencies of the stationary satellite; estimating the loss caused by the forest fire or the grassland fire. The method disclosed by the invention quickly monitors a dynamic change of a disaster target, so that the efficiency for prewarning and emergently handling major disasters in China is further improved.

The invention discloses a high spectral image classification method based on NSCT transformation and DCNN. The objective of the invention is to solve the problem that texture details and directivity information of to-be-classified high spectral images cannot be sufficiently excavated in the prior art. The method comprises steps of inputting a high spectral image; carrying out NSCT transformation; carrying out normalization and block taking operation on the transformed stereo blocks; randomly selecting training, verification and test sample sets in a sample set; constructing a depth convolution neural network and setting network super-parameters; training the network; inputting the test samples into the network to obtain actual classification tags and drawing terrain classification result graph; and comparing the classification tags and the reference tags of the test samples, calculating classification evaluation indexes, drawing loss curve graphs of the training and verification samples of increasing along with the iteration times, thereby finishing the terrain classification. According to the invention, more texture details, directivity information and space information of the high spectral image are kept; the classification is quietly precise; and the method can be applied to meteorology and environmental monitoring, land utilization, urban planning and disaster prevention and reduction.

The invention discloses an optimization method of simultaneous harvest and reclamation opportunity of single coal layer based on mining subsidence simulation and second ploughing rate, relates to dynamic mining subsidence prediction and GIS (Geographic Information System) analysis processing, and belongs to the field of mining technology, land utilization and land rehabilitation, and the method is used for solving the problem of unstable mining subsidence land reclamation and realizing the simultaneous harvest and reclamation of underground coal mine regions. The method comprises the steps of: considering the subsidence visual simulation of landform before mining, the ground subsidence scene simulation of time domain and the optimization of the simultaneous harvest and reclamation opportunity based on the second ploughing rate on the basis of onsite file collection and analysis and based on a probability integral method and a mining subsidence predict of Knothe time function. The method disclosed by the invention performs dynamic scene simulation and reclamation opportunity optimization on the subsidence to determine the optimal reclamation opportunity under special mining conditions and natural conditions, thereby rescuing the precious surface soil resources of plain mining areas to the uttermost and planning, protecting and treating the lands to be suffered from subsidence damage in advance, so as to improve the reclamation rate, reduce the reclamation cost, promote the sustainable utilization and sustainable development of mining area land resources, and guarantee the coordination and synchronous development of coal resource mining and cultivated land protection.

The invention provides a layout structure for integration of a train depot and a junction station of an urban rail. The layout structure is composed of the junction station, a main line, a turn line, a release line, a lead line, a testing line, a train washing workshop, a parking train examination shop, a plant un-wheeling repair shop, an internal combustion adjustment engine shop, an engineering garage, related lines and turnout junctions, a comprehensive office building, a hazardous material storage and a guardroom erected on the ground. In the structure, the junction station, the turn line, the release line, a train washing line and the parking train examination shop are arranged in a tandem feed-through manner, a return section train starts from a station and enters the train washing workshop for washing through an entry line, and after washing, the return section train can directly enter the parking train examination for storage or enter the plant un-wheeling repair shop for inspection and repair. The lead line, the internal combustion adjustment engine shop, the engineering garage and the train washing workshop are parallel to each other, and the front and the rear of the line are connected with the entry line. The layout structure has the benefits of compactness and high production and operation efficiency. The testing line departs from a main plant area, and passes through the junction station. The door of the main plant area can be directly opened outwards. The layout structure occupies less space, and achieves high land and space utilization.

Methods are disclosed for the simplification and integration of data from a diverse set of sources for environmental costs and societal benefit data. The methods allow for the computation of five basic metrics: material use, water use, energy use, toxics emitted, land use and overall pollutants emitted. Further, they facilitate the computation of complementary metrics, as well as the estimation of net present value of costs of unrealized environmental impacts.

The invention relates to a planting method of Chinese medicine, namely a standard planting method of non-forest ginseng. The method comprises the following steps: (1) land selection; (2) soil improvement; (3) selection of ginseng seeds and germination treatment; (4) making a soil bed; (5) seeding; (6) erecting a frame; (7) collecting seedlings; and (8) transplanting the seedlings and the like. The planted ginseng is transferred from a wild mountainous region to a non-forest flat land; and all links from land selection, soil detection and soil improvement to the selective application of a fertilizer of the improved soil, the application of the key technology of each production link, the ginseng preparation and the like comfort to the Chinese medicine GAP (good agricultural practice) production and quality management standard and standard production operation procedure, and the production and quality safety of the non-forest ginseng is guaranteed; and the technology not only can effectively protect the ecological environment and powerfully improve the land utilization rate, but also can solve the problems of pesticide residue and super-standard heavy metal content in the traditional ginseng planting process, thereby ensuring the quality of the ginseng raw medicine product.

The invention provides a novel column-shaped three-dimensional cultivation method and device for medical dendrobium. The method is characterized by comprising the following steps of making a cultivation device serving as an auxiliary article in a hollow column-shaped body structure; filling a cultivation medium in the interior cavity of the hollow column-shaped body, wherein the hollow column-shaped body is at least 0.5 m in height and at least 8 cm in diameter, the external surface of the hollow column-shaped body is uniformly provided with seedling planting areas, and a cultivation medium composition mainly comprises the following raw materials in parts by volume: 5-15 parts of barks, 10-30 parts of saw dust and 3-10 parts of vermiculite; selecting healthily-growing seedlings to be hardened and then washing the hardened seedlings during cultivating and transplanting the dendrobium seedlings; and after sterilizing by using 800-1000 times of liquid carbendazim, transplanting the seedlings in different plant bunches according to the seedling planting areas, wherein row spaces of the transplanted plants are 4-6 cm*10-15 cm. Compared with the prior art, the cultivation method provided by the invention is very suitable for growth habits of the wild medical dendrobium; and the medical dendrobium cultivated by using the invention has the advantages of easiness for material obtaining, low cost, long service life, good water retention and fertilizer securing effects, high planting density, land utilization rate capable of being increased by 6-7 times, high and stable yield, good product quality and convenience for management.

The invention discloses a data mining-based drought monitoring method. The method comprises the following steps: 1, data reconstruction is carried out on an MODIS vegetation index product, a land surface temperature product and an evapotranspiration product; 2, according to the vegetation index obtained in the first step and DEM data, downscaling is carried out on a TRMM rainfall product; 3, a vegetation anomaly index, a temperature anomaly index, an evapotranspiration anomaly index and a rainfall anomaly index are extracted again; and 4, a classification and regression tree model is used for building a statistical regression rule and a linear fitting model to obtain a drought monitoring model. Compared with the prior art, the method of the invention comprehensively considers multi-source remote sensing spatial information, such as the rainfall, the evapotranspiration, the vegetation growth state, the land using type, the altitude and other factors, in the case of drought monitoring, spatial data mining is adopted, the drought monitoring model is built, and the drought monitoring precision is improved.

The invention relates to a dynamic prediction method of landuse change. The basic idea of GeoCA-Landuse model simulating landuse change can introduce the life character of the land element and simulate the dynamic evolvement of the type of the landuse. Beginning with the superimposition analysis and the transfer analysis of the two phase landuse thematic map, combining with the measurement model of landuse change, analyzing the the landuse change character. According to the model controlling factors of river system and road map analysis, constructing the layer of the controlling factors, determining the reasonable neighbors and transfer rules in light of the historical land-use change process, with the combination of adjusting the model parameters of the social economic data. Setting a powerful spatial data processing of GIS, the land use trend is simulated and predicted. The invention can simulate the dynamic trend of the landuse change and provide a scientific basis for decision-making.

The invention relates to a wind collecting vertical type wind power generating system which comprises a wind power system, a vertical type speed increaser, a vertical type generator and an excitation grid-connected control system, wherein the wind power system is connected with the speed increaser and the generator by a chain coupling; the generator is controlled by the excitation grid-connected control system; the wind power system is in a box frame structure and comprises a fan blade system and a wind collecting and protecting system; the upper end and the lower end of a box frame are respectively provided with an upper shed top and a lower shed plate; the wind collecting and protecting system comprises a plurality of wind collecting plates which are distributed at four sides of the box frame and hydraulic drive equipment; the upper shed top, the lower shed plate and the wind collecting plates are connected to form a wind tunnel box type wind collecting body; the generator works in a multi-winding pole-changing control way; and the generator and the speed increaser are installed on the ground. The invention has the advantages of small size, low installation, maintenance and transportation cost, high wind power utilization ratio and wind field land utilization ratio, stable performance, high storm wind resistance and favorable power generating quality and grid-connected performance, can form a high-power wind power generator unit system and is suitable for various weather and geographic environments.

The present invention provides a method and an apparatus for nurturing phalaenopsis orchid seedlings with stalk with a high performance of land use, and comprises a nurture room having an air conditioning equipment for a temperature control; a multi-layer planting bed rack installed in the nurture room for placing the phalaenopsis orchid seedlings; and an illumination rack fixed above each planting bed, and having an artificial light source installed thereon for illuminating the phalaenopsis orchid seedlings in the planting beds. With the aforementioned arrangement, the large quantity of phalaenopsis orchid seedlings placed on each planting bed are grown under the conditions controlled at a temperature at 17° C. ˜25° C. and a light intensity of 100˜11000 Lux, so as to achieve the effects of improving the production efficiency, lowering the cost and providing a stable shipping time.

The invention relates to a three-dimensional geographical scene simulation method for virtual emergency exercises. The method comprises the steps of: obtaining elevation data in DEM by using GIS software, and interpreting earth surface appendage information by using a registered high-resolution remote sensing image, or obtaining surface features and land utilization information by using an existing measured drawing; then, establishing topography and landforms by using the information with true geographic meanings in a game engine, wherein a key technical process is the conversion between a rectangular coordinate system in the game engine and a geographic coordinate system in the GIS software; at last, combining and reconstructing a three-dimensional terrain and geographic element model with true geographic meanings on a game engine platform, and achieving establishment of a realistic three-dimensional scene. The three-dimensional geographical scene simulation method virtual emergency exercises is convenient to operate and unnecessary to limit shape and size of the area, ensures elevation accuracy of DEM, and can automatically generate the three-dimensional science with the true geographic meanings.

In view of the characteristics of the high-resolution remote sensing images, the invention provides a practical intelligent method for classifying images, which comprises the following six steps: generating the image segmentation result of a full-color image; acquiring the segmentation result of a multispectral image by utilizing space mapping; determining whether the segmented regions of the full-colour image are insufficiently segmented; resegmenting the detected insufficiently-segmented region; generating the regional feature space; and classifying the image by using a classifier. The invention solves the problem that the insufficiently-segmented regions frequently influence the image classification precision in the image classification process. The method is suitable for high-resolution images from remote sensing satellites, such as IKONOS, QUICKBID and the like, and plays an important role in extracting application messages, such as target identification, resource environment survey, land utilization trends, disaster monitoring, disaster situation evaluation and the like.

The invention discloses a method for extracting straw burning fire based on a No. 1 environment satellite. The method comprises the following steps: S1, calculating the brightness temperature of each wave band according to the infrared data of the No. 1 environment satellite; S2, judging the average temperature of an image element according to the difference of a third wave band and a fourth wave band of a No. 1 environment satellite infrared camera to the brightness temperature of the same picture element and extracting potential hot outlier according to the temperature difference between a target image element and a surrounding image element; S3, extracting real hot outlier based on the data of the potential hot outlier; S4, utilizing a series of threshold value discrimination methods to remove false fire based on the data of the real hot outlier and other wave band data with the same resolution ratio with that the No. 1 environment satellite; and S5, judging fire in a farmland as the straw burning fire according to the land classification information. The method can utilize the infrared, multi-light spectrum and land utilization data to extract the straw burning fire, thereby improving the low spatial resolution of the original monitoring sensor and realizing the operation of monitoring business of the straw incineration point.

A method for simulating urban land use change merges an idea of dynamic neighborhood into a cellular automation and a Monte-Carlo model and regulates a range of local neighborhood according to different cell state distribution and by a Monte-Carlo method, so that the problems of spatial-dimension uncertainty and time-dimension randomness of urban land use change are solved, and simulation of the urban land use change is implemented. The method includes: acquiring and preprocessing data; determining cell size, cell state and iteration time according to a classification chart, and using the Monte-Carlo model to determine the range of dynamic neighborhood; establishing a land use change simulation system based on the Monte-Carlo model and the cellular automation model; using the land use change simulation system to simulate and predict by the Monte-Carlo method and the cellular automaton method; and analyzing a land use structure based on simulation results. By the method, the problem of uncertainty occurring in simulation of urban land use change is solved, and simulation effect and precision are improved.

The invention discloses a method for automatically extracting a newly added construction land change image spot of a high-resolution remote sensing image. The method comprises the following steps: inputting two high-resolution remote sensing images of a same area at different periods and performing geometrical fine calibration and relative radiation calibration; respectively calculating textural features of all wave bands of the images at two periods; performing difference value operation on the textural features and the spectral signature of the images by waveband, thereby obtaining a difference value image and cutting thresholds; logically combining two-value result images of all wave bands; performing morphological closed operation, hole filling and small-area image spot removing treatment on the two-value result images after being logically combined in turn, thereby obtaining a change image spot of land utilization; making zone marks on the change image spot of land utilization so as to generate an image spot object; calculating the textural features of each image spot object in a remote sensing image at a new period; and extracting the newly added construction land change image spot. According to the method provided by the invention, the problem of extracting the newly added construction land is mainly solved, and meanwhile, the capacity of detecting the interior change of the construction land is achieved.

The invention relates to a water and fertilizer integrated fertilizer special for winter wheat, and an application method for the water and fertilizer integrated fertilizer. The water and fertilizer integrated fertilizer is prepared by uniformly mixing the following raw materials in part by weight: 40 to 50 parts of urea, 20 to 32 parts of diammonium phosphate, 12 to 18 parts of potassium chloride, 6 to 12 parts of potassium humate, 1 to 2 parts of borax, 1 to 2 parts of zinc sulfate, 0.5 to 1 part of copper sulfate, 0.5 to 1 part of ferrous sulfate, 0.5 to 1 part of manganese sulfate and 0.3to 0.5 part of amino acid. Water and fertilizer are supplied to wheat in a spray irrigation mode, a small amount of fertilizer is applied for multiple times, the fertilizer application amount, the irrigation amount and a water and fertilizer requirement rule of the winter wheat are basically matched, the continuous nutrient requirement of the winter wheat in a long growth period can be met, the ear rate is improved, and the obvious production and income increasing effect can be achieved. By the invention, boundaries of furrows and ridges in a field can be broken, and the land utilization rate is improved by over 5 percent.