1712 results about "Site selection" patented technology

The invention relates to systems and methods for site selection and placement of extra-anatomic passages altering gaseous flow in a diseased lung.

The invention discloses a remote sensing monitoring system for automotive exhaust emission of an urban road network. The system is mainly composed of a remote measurement device layer, a site selection and position arrangement layer, and a data processing layer. Through mobile, horizontal and vertical exhaust remote measurement devices, real-time data of the automotive exhaust emission in running is obtained; by adopting an advanced site selection and position arrangement method, the remote measurement devices are scientifically networked; and in combination with external data of weather, traffic, geographic information and the like, the real-time remote measurement data of the automotive exhaust emission is subjected to intelligent analysis and data mining by adopting big data processing and analysis technologies such as deep learning and the like, and key indexes and statistical data with optimal identification performance are obtained, so that effective support is provided for government departments to make related decisions.

A LIDAR sensor element and system for wide field-of-view applications such as autonomous UAS landing site selection is disclosed. The sensor element and system have an imaging source such as a SWIR laser for imaging a field of regard or target with a beam having a predefined wavelength. The beam is scanned over the field of regard or target with a beam steering device such as Risley prism. The reflected beam is captured by the system by receiving optics which may comprise a Risley prism for receiving and imaging the reflected beam upon a photodetector array such as a focal plane array. The focal plane array may be bonded to and a part of a three-dimensional stack of integrated circuits, a plurality of which may comprise one or more read out integrated circuits.

The invention discloses a method and system for site selection of a base station. The method comprises the following steps: obtaining parameter information of a preset type according to a networking type and a zone type of a target zone and introducing the obtained parameter information into a preset mathematical model to form a mathematical model of the target zone; selecting a preset number of sub sets from a candidate base station set of the target zone; and according to the mathematical model of the target zone, using an evolutionary algorithm to carry out solving on the selected of sub sets with the preset number, thereby obtaining a station site and configuration of a newly-established base station. According to the method and system for site selection of a base station, according to different geographical environments and networking types of different target zones, a TD-LTE network base station site and configuration are selected, wherein the TD-LTE network base station site and configuration correspond to the geographical environment of the target zone; and according to the selected base station site and configuration, the new base station is established. Therefore, the data traffic requirement with high bandwidth and high quality can be met; and a high-speed wireless broadband service can be provided for a large number of users.

The present invention is directed to a distributed approach to handoff and cell site selection that takes into account the load dynamics in a multi-cell system.

The invention discloses a method for optimizing the site selection of electric vehicle charging stations. The charging convenience of people who charge electric vehicles is considered through the constraint conditions of service radii of the charging stations, the initial positions of the charging stations are determined by optimizing the number of the charging stations according to the land usage of subareas, investment in the charging stations is preliminarily optimized, reasonable load distribution is performed on the basis of the property of a Voronoi diagram, the site selection is optimized in each Voronoi polygon by using investment and cost which can influence the site selection of the charging stations as optimization objectives, and the positions and service areas of the charging stations and the number of chargers in the charging stations are determined. Examples prove that the site selection of the charging stations can be quickly and effectively performed by the method, and requirements on charging convenience, economy and investment optimality are met.

A system and method for posting content to network sites are disclosed. A particular embodiment includes providing, by use of a data processor, a user interface at a location-specific kiosk, the user interface enabling a user to capture an image at the location-specific kiosk; applying an overlay to the captured image to produce posting content; receiving a community site selection and community site credentials at the location-specific kiosk; using the community site credentials to authenticate with the selected community site via a data network; and posting the posting content at the authenticated community site via the data network.

The present application discloses a method and an apparatus for determining a target address. The method comprises the steps that: information for indicating a candidate area and the type of the target address is received from a terminal; site selection decision-making information of the candidate area is acquired and at least comprises demand feedback of a user to the candidate area. a site selection index of the candidate area is determined based on the site selection decision-making information; moreover, whether the the candidate area is the target address or not is judged according to the site selection index and the type of the target address. According to the technical scheme provided by the application, the target address can be determined rapidly and accurately through collecting the demand feedback of the user to the candidate area.

A wagering system comprises a race providing system facilitating wagering on race events and providing information regarding the race events, and at least one wagering terminal in communication with the race providing system. The at least one wagering terminal includes communication to a program that determines the best wagering site for a specific wager that is placed through the system. The terminal may also enables a race event selector to select next race events for wagering, a display to present information regarding the selected race events, a user interface to place a wager on an elected race event of the selected race events displayed, and a wagering value mechanism to provide a wager amount for the wager on the elected race event. A user account is accessed for funding and crediting of wagers. User accounts may be set up by data transmission to personnel (including tippers) who are scheduled by an on-line scheduling program.

In an economical and efficient process and apparatus for producing biofuel from waste oil, such as vegetable oils and animal fats, waste oil is esterified with alcohols to produce alcohol esters and the by-products of the transesterification reaction are recovered. Static pressure may be used as well as continuous flow-through reaction vessels and separation tanks without the need for additional pumps. There may also be specialized reaction tanks that have vertical rotating feed tubes having separators and inlet and outlet openings. The method and device achieves efficient production of biofuel while employing reaction and mixing tanks having a limited size, which in turn permits a smaller plant layout or “footprint”. For example, the largest tank may be in a size of about 36 / 100,000 times the desired plant output in gallons per year. The benefits of the process and apparatus include minimal space for a plant; minimal on-site feedstock needed therefore minimal on-site storage is needed; minimal capital costs to build a plant e.g., reduction by about fifty to sixty five percent (50 to 65%); reduction in construction time from typically over one year to under three months in many plants; minimal energy usage, e.g., reduction by about sixty percent (60%); minimal labor costs due to the automatic continuous flow; minimal pumps needed thereby reducing pump operation and maintenance costs; environmentally friendlier and safer plant design; and due to smaller plant footprint, lower capital cost and minimal construction time enables site selection much nearer to the raw material supplies, thereby minimizing or even eliminating transportation costs for yellow grease or vegetable oil.

The invention discloses a logistics distribution method comprising the following steps: constructing a storage center site selection model, determining the location information of storage centers according to the storage center site selection model and by a heuristic central clustering algorithm, and determining the coverage information of each storage center; constructing a path planning model, and determining distribution path information realizing shortest distribution distance, lowest distribution tool service cost and shortest waiting time for customers; and acquiring current real-time road information, current disposable distribution tool information and customer's distribution time demand information, and performing distribution tool scheduling according to the acquired road information, current disposable distribution tool information and customer's distribution time demand information as well as the determined distribution path information to realize logistics distribution. The invention further discloses a logistics distribution system.

The present invention is directed to a distributed approach to handoff and cell site selection that takes into account the load dynamics in a multi-cell system.

The invention provides a site selection and transportation optimization method for super-large scale logistics distribution. The method comprises the steps of clustering, side selection planning and route planning, specially, the method comprises the steps that computing is carried out with a method combined by a from-bottom-to-top clustering method and a designating-based clustering algorithm; a given distribution center number is p, the best site selection scheme is computed with minimum total cost as a target; site selection schemes with different distribution center numbers are compared, administration cost is integrated, an ideal site selection scheme is selected; according to the requirements of distraction point numbers in each cluster and geographic information, the time requirement of distribution connecting of each distribution point and the traffic time requirement between points are computed; an ant colony algorithm is used, and the best distribution route is obtained by computing. According to the site selection and transportation optimization method for super-large scale logistics distribution, the problem that computing amount is large caused by the fact that distribution points are increased greatly is effectively solved, compared with existing site selection-route planning, computing expenditure is greatly lowered, and efficiency is obviously improved.

The invention relates to an imitative wild cultivation technique of gastrodia, comprising site selection, hollow opening, seed selection, fungus material spread, gastrodia seeds placing, three-grade armillaria mellea placing, humus soil covering and cultivation conducting. The technique results from field study and research, a large number of repeated experiments and explorations in the practice of cultivation by a plurality of years and can stabilize the yield of the gastrodia, particularly improve the quality of the gastrodia cultivation with good appearance and character, close to the wild state. In addition, taking full advantage of the superior natural environment, the technique reduces drop in production caused by bacteria invading, improves the capacity of the gastrodia to combat natural adversities, reduces cost by getting materials from local resources and makes up for the shortage of large field cultivation so as to resolve the land contention with the farmland, promoting the development of the special industry of underwood planting of the ecological agriculture.

The invention discloses a technique and method for off-season cultivating of organic bamboo shoots, and concretely relates to a cultivation technique and method for cultivating the organic bamboo shoots in advance by a season, and therefore, the bamboo shoots which are eaten in March or April can be eaten on New Year's Day and during Spring Festival in advance to meet the living needs of people and increase the planting benefit of the bamboo shoots. In the cultivation technique, pesticide, chemical fertilizer, growth regulators, hormone, herbicides and the like are not used. Bamboo shoots organic base certification, variety selection, site selection, plantation and forestation, cultivation in advance, self-made decomposed manure, organic matter plastic film mulching and scientific fertilization are adopted; minerals and botanical insecticide are used for controlling diseases and insect pests; natural enemies of pests, the inherent phototaxis and the flavor-directed performance of the pests are used for capturing and killing the pests, the purposes of eliminating the pests and protecting beneficial insects are achieved, conditions, such as light, heat, air and the like, are fully utilized, an environment which is beneficial to the growth of the organic bamboo shoots and bamboo shoots is created, the purposes of advance yield and high yield are achieved, the organic bamboo shoots are produced efficiently, and economic income is increased.

An optimal site selection device for a distributed wind power plant based on a fuzzy analytic hierarchy process comprises a DSP (Digital Signal Processor) module, a keyboard input module, a liquid crystal display module, a communication module and a host computer. An optimal site selection method for the distributed wind power plant based on the fuzzy analytic hierarchy process comprises the following steps: dividing candidate wind energy resource zones in a region rich in wind energy resources, determining an evaluation index system for the site selection of the wind power plant, determining the hierarchical structure of a scheme for the site selection of the wind power plant, judging the cognition degrees of experts on selected sites for the wind power plant by an expert group judgment and group decision method to obtain the cognition degree parameters of all the experts, and constituting a criterion layer judgment matrix and an index layer judgment matrix for the site selection of the wind power plant; and finally ranking the candidate wind energy resource zones by advantages and disadvantages and determining one site for the wind power plant. Compared with the traditional analytic hierarchy process for site selection, the method has the advantages that factors are fully considered, the examination and the regulation of the consistency of the judgment matrixes are simple, easy, scientific and reasonable, and results are scientifically analyzed. The device has the advantages that through the operation processing process of the DSP, the site selection period can be shortened, and the site selection efficiency can be increased.

The invention discloses a stropharia rugoso-annulata cultivation method. The method comprises the following steps of season arrangement, cultivation material selection, site selection, material collection, cultivation material treatment, sowing and mycelium cultivation, spawn running period management, earthing method and management after earthing, fruiting period management, harvesting, pest and disease control and processing. The method has the advantages that the stropharia rugoso-annulata cultivation method fully utilizes the straw resource, the specific steps and conditions of cultivation are particularly limited, and the yield of stropharia rugoso-annulata can be effectively increased; meanwhile, by adjusting the cultivation proportion of different kinds of straw, growth and development of the stropharia rugoso-annulata can be effectively controlled, the stropharia rugoso-annulata is high in yield, excellent in quality and capable of adapting to the market requirement.

The invention discloses a CFD and improved PSO based microscopic wind-farm site selection method of a complex terrain, belonging to the technical field of microscopic wind-farm site selection. The method comprises the steps of simulating values of wind farms of the complex terrain via CFD to obtain wind resource distribution, extracting a CFD value simulating result corresponding to a position at the hub height of a wind generating set, establishing a wake model, a wind farm model and a target function, solving a particle swarm speed and position updating equation by utilizing the improved PSO which is combined with niche technology, chaotic mutation and punishment, and solving the target function in an iterative manner by combining the wake model to generate an optimal distribution result. According to the method, the CFD value simulating result is applied to optimizing microscopic site selection for wind farms in the complex terrain, influence of wind energy distribution and wake is fully considered, and layout of the wind farms is optimized; and the whole convergence process is highly efficient due to improvement of population diversity, chaotic mutation of particles and change of moving dimensions of populations.

The invention proposes a charging pile setting method for dividing regions based on driving data and a Voronoi diagram, and belongs to the field of electric car. The method comprises the steps: firstly carrying out the dividing of a region where charging piles need to be set into subregions through a Voronoi diagram method; calculating the maximum charging load of each subregion through the driving data, and selecting the maximum value and the subregion corresponding to the maximum value; building a value model for the selected subregion, solving the model through a particle swarm algorithm, obtaining the positions of added charging piles in the subregion and an optimization result of the number of the charging piles; adding the added charging piles to a map of the region, carrying out thenew subregion dividing of all charging piles and the optimization calculation of a charging station till the constraint condition exceeds a preset upper limit, and ending the setting of the chargingpiles in the region. According to the invention, the method takes the obtaining of the high-efficiency charging of an electric car and the reduction of the construction cost of the charging facility as the objectives, achieves the reasonable site selection and capacity fixing for the setting of the charging piles through the driving data of the car, and is very high in globality and accuracy.

Embodiments of the present invention provide a temporary tattoo, appliqué or decal and a method of using the tattoo on a patient to identify on that patient a selected operative site, wherein said operation is identified by name on said decal and wherein the accuracy of site selection may be endorsed by the patient and the responsible operator directly on the selected site in such a manner that the endorsement indicia remain legible after the decal is eradicated.

Bean sprouts production method comprises the following process: A. site selection; B. site disinfection; C. seedling tray disinfection; D. seed selection; E. seed soaking; F. get-on carrige management. The present invention advantage is to use the achievement of biotechnology to break through the traditional production mode for in vivo sprouts, and use simple equipment firstly to process standardization aggregate production new mode for novel semi-closed multi-layer dimensioned soilless culture under the worse condition. Bean sprouts production procession is not affected by outside environment, and no fertilizer, hormone and pesticide is used, it is nuisanceless vegetable and belongs to green food. The present invention is short growth cycle, early benefiting, high yield and land saved, and can be factory and intensive production.

The embodiment of the invention discloses a site selection method and device, and belongs to the technical field of big data. The method comprises the steps: obtaining the identification of a to-be-selected main body and a target site selection area when a site selection event is monitored; carrying out the grid dividing of the target site selection area; determining a site selection coefficient of grids according to the correlation data of the to-be-selected main body and the target site selection area; selecting grids from the target site selection area according to the side selection coefficient of the grids as candidate sites of the to-be-selected main body. According to the embodiment of the invention, the method and device solve problems that the manual collection and analysis of data causes the inaccurate site selection range, high manpower cost and low efficiency.

The invention discloses a site selection method and device. The method comprises the steps that a city zone where emergency rescue facilities need to be built is determined, and population statistics, administrative division and basic geographic data of the city zone are collected; a multi-target site selection decision model is solved; and the best solution is recognized and output. Accordingly, site selection of city serious emergency rescue facilities can be effectively achieved.

The invention provides an interference self-avoidance substation site selection method of a TD-LTE (TD-SCDMA Long Term Evolution) system, which is used for optimizing the site of a new substation so as to avoid same frequency interference between the new substation and a potential interfered substation. The method comprises: when a new substation is required to build and configure, obtaining the system information and configuration situation of each deployed substation; according to a preset screening criteria, determining the potential interfered substation from the deployed substations; according to potential interfered substation information (such as coverage area, service user number, user QoS (quality of service) requirements and the like), determining the priority level of each potential interfered substation; according to the priority level of each potential interfered substation, generating a list of the priority levels of the potential interfered substations; according to the near-end interference and far-end interference to the potential interfered substation by the new substation, determining the low-interference space between the new substation and each potential interfered substation; according to the list of the priority levels of the potential interfered substations and the low-interference space between the new substation and each potential interfered substation, determining the site selection area of the new substation.

A hardware is used to perform an SSDT processing, thereby avoiding performance degradation than otherwise would occur due to load increase caused by a software processing, and thereby realizing a base station that can instantaneously perform a transmission control and provide a high speed site selection. In order to perform a site selection diversity power control (SSDT) for the purpose of reducing the amount of interference that would be caused by transmitting the same data to a plurality of cells or antennas during soft-handover, an encode processing part (1) is used to add a transmission control bit to the transmitted data. In response to this transmission control bit, a transmission control signal selecting circuit (206) selects a transmission control signal of destination. An output control circuit (207) receives, as its inputs, a transmission spread signal and the transmission control signal to perform an output control and instantaneously perform a transmission control, thereby realizing a high-speed site selection.

The invention relates to a multi-source coupled integrated energy system planning method. The method comprises steps that 1), an integrated energy system coupling model is established, and the coupling relationship among cold / heat / electrical / gas energy forms is described through listing mathematics coupling matrixes; 2), regional present situation analysis is carried out; 3), regional energy demand prediction is carried out; 4), energy supply equipment output analysis is carried out; and 5), energy station site selection and capacity setting are carried out, energy station site selection is reasonably determined, an energy station optimization planning target function and a constraint condition establishment solving model are determined, and the optimal energy station configuration capacity is acquired through solving the model. The method is advantaged in that on the condition that cold / heat load demands can be satisfied, site selection and capacity setting of a wind turbine generatorsystem, a photovoltaic electrical station, a gas turbine set and a ground source heat pump set are optimized, and bases are provided for planning and operation of an integrated energy system.

The invention relates to systems and methods for site selection and placement of extra-anatomic passages altering gaseous flow in a diseased lung.

The invention relates to a position recommending method and system based on position crowd characteristics. The method comprises the following steps: S1, meshing all base station sectors in a region to be detected and marking grids; S2, acquiring total user real-time signaling data of the region to be detected, and finding out mobile users appearing in the meshed region according to the signaling data; S3, labeling the mobile users appearing in each grid, and counting up the quantity of the users with various types of labels of each grid under each network mark; S4, clustering the mobile users in each base station sector according to a statistical result of the step S3, so as to obtain the position crowd characteristics of the base station sectors; S5, providing position recommending information for site selection of marketing campaigns according to the position crowd characteristics. With the adoption of the position recommending method and system based on the position crowd characteristics, provided by the invention, the problems in the prior art that data needs to be manually acquired offline so that the efficiency is low and the accuracy is not high are solved.

The invention relates to a multi-target synergic planning method considering a charging station and a distributed power supply for a power distribution network. The method comprises the steps of considering uncertainty of the distributed power supply, analyzing a wind light power generation output rule, and building a multi-scene distributed power supply and load model according to season and timesequence characteristic; building an electric vehicle road traffic network model, considering traffic flow distribution and traffic network layout, calculating traffic economic benefit according to traffic flow captured by an electric vehicle charging station and average waiting time of a user, and allowing the power distribution network to be coupled to the traffic network; and comprehensively considering the distributed power supply and electric vehicle charging site selection and sizing, and building a multi-target synergic planning model by planning lowest total cost and optimal network node voltage mass as an upper-layer target and minimum distributed power supply removal quantity expected value as a lower-layer target. By the method, the running economy and the electric energy quality of a power grid are improved, moreover, the traffic congestion caused by construction of the charging station is prevented, and the stability of the power system is improved.

The invention discloses an emergency logistic transfer station site selection method based on an improved ant colony algorithm. The method comprises the steps of: constructing a multi-target optimizing model with an maximum emergency demand coverage degree and minimum emergency cost serving as a target, and combining constraint conditions of the optimizing model to determine the number of the temporary transfer stations; combining the clustering ant colony algorithm and a greedy algorithm to solve the multi-target optimizing model, successively performing clustering analysis on coverage situations of disaster points under each disaster level, determining grouping of the disaster points and making a primary site selection scheme of the transfer stations; evaluating the unselected transfer stations, replacing the primary selected transfer station with the transfer station of a maximum evaluation value, performing transfer station repositioning until the site selection scheme does not change; and outputting the final transfer station site selection scheme. According to the invention, the ant colony algorithm is improved on the application of the state transition probability, the sharing tabu table and the greedy algorithm idea, the convergence rate and the solving quality are increased and a theoretical basis is provided for the optimizing of the emergency logistic transfer station site selection.