109 results about "Network density" patented technology

The invention discloses a method and a device for positioning the nodes in a wireless sensor network, comprising the following steps: the topology structure of the whole wireless sensor network is obtained; a clustering method based on network density is adopted; after the cluster head is optimized and selected, the whole wireless sensor network is divided into a plurality of clusters which have uniform density and are not superposed to each other based on an density accessibility method; the absolute coordinates of all cluster heads are obtained; a genetic algorithm is used to determine the sequence in which the movable beacon traverses all clusters and determine the moving path of the beacon in the clusters, thus forming an optimum moving path of the movable beacon in the whole wireless sensor network and realizing the positioning of the nodes in the wireless sensor network. The method and the device can ensure the precision of higher node positioning, simultaneously can reduce the moving expense and calculation expense of the beacon, and can improve the real-time performance of the positioning of the nodes.

The invention provides a method for planning a path in an urban road traffic network. The method comprises the steps of dividing a region to be searched, which is determined according to a start point and a final point, into multiple sub regions according to a given road network density; then mapping the multiple sub regions into one-dimensional discrete points, and forming a Voronoi graph based on the discrete points; determining an adjacency relation between every two of all the sub regions according to the Voronoi graph, and judging the connectivity between every two adjacent sub regions; constructing a new road network according to a set of the selected adjacent sub regions which are communicated, and searching an optimal path between the start point and the final point in the new constructed road network. According to the method, the construction time of a road network topological structure is shortened; furthermore, the search range of the path is narrowed, the search time is shortened and the search efficiency is improved.

The invention provides a neighbor finding method for a directional Ad Hoc network. An antenna active detection / passive monitoring mode of a node is determined based on the binary coding bit of the ID of the node, a channel resource is divided into a plurality of sub-channels through the CDMA or the OFDM technology, the number of the sub-channel which is occupied by the node is determined through an equal-probability random selection method, the purpose that multiple nodes send information alternately on different channels is achieved, the data collision conflict caused by the fact that the multiple nodes send information to the same node at the same time in the neighbor finding process is effectively reduced, the success probability of finding a neighbor node can be remarkably improved, and network networking time is shortened. By the adoption of the neighbor finding method for the directional Ad Hoc network, the neighbor node can be rapidly found in the Ad Hoc network with directional beam transmission being adopted completely, and the neighbor finding method for the directional Ad Hoc network is suitable for all networking scenes with network density being large from small. The neighbor finding method for the directional Ad Hoc network is easy to achieve, the time spent in finding all the neighbor nodes within a one-hop range is short, and reliability is high.

The invention belongs to the field of oil and gas field development, and particularly relates to a water-drive reservoir well network optimization design method. The method adopts the well network and well position two-stage optimization design, and includes the following steps of firstly, finding and arranging reservoir geological development data; secondly, conducting first-stage well network design and determining reasonable well network density and well network mode; thirdly, conducting second-stage well position optimization, and optimizing and fine adjusting well positions of all wells. By means of the method, the reservoir physical property and heterogeneity, the reservoir fluid heterogeneity, the economic factors and the like can be comprehensively considered; by means of the two-stage design method with the first-stage well network design and the second-stage well position optimization, the linked optimization of well network density, well distribution mode and well positions is achieved; the optimization efficiency can be greatly improved for large-scale reservoir.

The invention belongs to the technical field of navigation and positioning and discloses a low-orbit navigation constellation enhanced network RTK (real-time kinematic) technology. The low-orbit navigation constellation enhanced network RTK technology comprises the following steps: design of a global navigation and positioning constellation and multiple low-orbit constellation schemes, a low-orbitsatellite collecting orbit determination and inter-satellite link autonomous orbit determination method, design of a low-orbit satellite broadcast ephemeris and a high, medium and low-orbit satellitefusion processing unified mathematical model. The problem in the prior art that the network RTK method is low in positioning precision is solved, the baseline distance can be increased, the network density can be reduced, the cost can be reduced, the precision and the ambiguity fixing rate are increased, and the convergence time can be shortened. The sub-satellite point track coverage range of the low-orbit constellation is wide and even covers polar regions, the three-dimensional orbit errors of 60 and 192-star constellation are 46 cm and 18 cm correspondingly, the forecast precision is increased by about 30 percent compared with that of a klobuchar model, and the final positioning precision is at horizontal millimeter and height centimeter level.

The invention relates to a mobile beacon path planning method based on network density clustering of a wireless sensor network. The network comprises a plurality of static unknown nodes which are not evenly deployed and one mobile beacon node. The method includes the steps that network clustering is performed based on an DBCSAN; the positions of cluster heads are estimated; the overall path of a mobile beacon is planned; the local path of the mobile beacon is planned; the mobile beacon moves along the planned path at a constant speed v, a beacon data packet is broadcast every other time interval with the current position as a circle center and R as a communication radius when each cluster is traversed, and each beacon data packet comprises the position of the mobile beacon at the moment and the beacon; the unknown nodes are used for continuously monitoring and receiving the beacon data packets, and the positions of the unknown nodes are calculated through a three-side measurement method; positioned nodes are upgraded into static beacons to assist in positioning the remaining unknown nodes. The method is high in positioning accuracy and beacon utilization rate, the beacon moving path is short, and communication expenditure is small.

The invention belongs to the field of network data mining field, and specifically relates to a community detection method based on a dynamic synchronous model. The method comprises the steps of firstly reading social network data, and performing network vectorization according to a social network graph to obtain a vectorized one-dimensional coordinate sequence; setting synchronization parameters and calculating a synchronization range; performing synchronization clustering, wherein each node is synchronized in the synchronization range according to the extensional synchronous model until a local synchronization status is available; dividing communities according to the coordinate position of each node; calculating the modularity of the division; adding the synchronization parameters constantly; executing a new round of synchronization clustering process until the synchronization range covers all the nodes. Nodes in the network are clustered through a kuramoto model, so that a link density can be accurately described, the difference of the network link density is effectively reflected, the automatic detection of a social network community structure is realized, and the community detection results are selected and optimized.

The invention discloses an automatic layout method for urban development land. The method comprises the following steps of establishing an urban development land random distribution model by using an information processing system of which the core is a high performance computer, taking geographical data of urban areas as model input data and taking land use span pattern spots as a model processing unit, performing circulation calculation by using the random distribution model, and combining to generate all possible layout schemes of the urban development land through exhaustion; by taking road network density as a detection condition, automatically detecting the road network density of the urban development land in each layout scheme, and saving the layout scheme with the highest road network density; and automatically outputting an engineering drawing, which can be directly used by urban controllability detailed planning, by using plotting equipment. The method overcomes the defects of subjectivity and randomness generated because urban spatial layout is decided by intellectual activity of human brains in urban construction engineering practice.

A method for zigbee indoor location networking design and corresponding simplification belongs to the field of network of things. The method includes determining an area with side length being 6.5-7.5 in actual application to be optimum networking space, selecting common isosceles triangle or equilateral triangle to conduct networking and obtaining a value parameter A by offset estimation. The method simplifies a research process and is favorable for raising a corresponding research model. Effective location data can be obtained under a networking plan by value relation only related to a parameter n obtained by reduction by means of the proportional relation of three points and a coordinate value. The method enables a location process to be free of interference of the parameter A and the parameter n and only needs to obtain relative function relation with the parameter n after parameter elimination and known reference point coordinate under the corresponding relation. Therefore, corresponding coordinate is calculated, and the location aim can be achieved. By means of the method, networking density and the networking plan are scientifically designed. The method provides an analysis base for proceeding of a scientific experiment and application cost.

The invention discloses a method applicable for scenes with multiple sparse and dense vehicular ad hoc networks (VANETs). Firstly, when the VANETs are sparse, connection from end to end and specific to the sparse VANETs do not exist frequently, each node (vehicle in the VANETs) can be effectively stimulated to cooperate with each other, message transferring success is increased and transferring delay is reduced. When the VANETs are dense, ISSDV can enable forwarding nodes to choose a part of high-quality nodes to forward message, the number of forwarding nodes is effectively controlled, redundant package in the network can be reduced, meanwhile, connectivity of the network is guaranteed, and success rate of transferring is increased. According to the method applicable for the scenes with the multiple sparse and dense vehicular ad hoc networks (VANETs), a stimulation mechanism not only solves a problem that the nodes forward message in a selfish mode, but also well adapts to nodes rapid moving speed, a changing network density, frequency of topological changes, network partitioning and other practical problems of the VANETs, and enables presented mechanisms to be truly implemented and be practical.

The invention discloses a method and system for realizing data query route switching in wireless sensor network and network density collecting method. Wherein, the route switching method comprises: base station node receiving query request set by user; base station sending network density query instruction; base station integrating the classes of the user inputted query instruction after obtaining the network density information, and selecting route protocol to process current query; attaching the route information into the query instruction and sending the query instruction to sensor network; the sensor node in the network receiving the query instruction, then switching into the corresponding route protocol according to the route information attached in the query instruction; the network networking according to the route protocol, and returning the query result to the base station. Applying the method and system can reduce the energy consumption in wireless sensor network data query, and prolong the network life-cycle.

The invention discloses a network information management system for a comprehensive meteorological observation operation monitoring system. The network information management system comprises a provincial level network information management system and a national level station information management system, wherein the provincial level network information management system is used for receiving basic network information of a station level user-input station, merging the basic network information and matching the merged basic network information with station organizational structure information, support personnel information, observation element information and alarm fault configuration information together to form comprehensive network information storage; the national level station information management system is used for receiving comprehensive network information synchronously transmitted by the provincial level management system. The two levels of systems are used for providing retrieval, statistical query and analysis functions, real-time tracking of the change conditions of observation station information, personnel information and equipment information is realized, the information such as station migration, surrounding environmental change, radar coverage area, radar shielding condition, network density, equipment identify characteristics, personnel change can be obtained, a basic support is provided for the operation monitoring of comprehensive meteorological observation network equipment, and a scientific basic is provided for site selection station building, equipment selection and running guarantee.

The invention relates to a multiple mobile beacon set moving path planning method based on network density clustering of a wireless sensor network. The network comprises a plurality of static unknown nodes which are not evenly deployed and three mobile beacon nodes. The method includes the steps that network clustering is performed based on an DBCSAN; the positions of cluster heads are estimated; the overall path of mobile beacons is planned; the local path of the mobile beacons is planned; the mobile beacons move along the planned path at a constant speed v, a beacon data packet is broadcast every other time interval with the current position as a circle center and R as a communication radius, and each beacon data packet comprises the position of the mobile beacon at the moment and the beacon; the unknown nodes are used for continuously monitoring and receiving the beacon data packet, and the positions of the unknown nodes are calculated through a three-side measurement method; positioned nodes are upgraded into static beacons to assist in positioning the remaining unknown nodes. The method is high in positioning accuracy and beacon utilization rate, the beacon moving path is short, and communication expenditure is small.

An urban rail transit passenger flow density index calculating method is a station, line and network density index calculating method for establishing different time grains on three levels of point, lines and faces. Comprehensively considering the density factors, influencing station density indexes, of key areas, a station density index model is obtained after a reasonable threshold value is set with the ratios of passenger flow of each area within different time durations to the total passenger flow as the weights according to the ratio of the weighting of management objects larger than the threshold value to the weighting of all management objects; comprehensively considering the influences of stations and intervals, a density index model on the level of lines is obtained through the weighted sum of different weights of the stations and the intervals, wherein the station part includes the ratio of the weighting of all stations, larger than the set threshold value, on the lines to the weighted sum of all the stations, and the interval part includes the average value of interval load factors of the intervals on the lines; a density index calculation model on the level of networks is obtained through weighting of density indexes of all the lines, wherein the weighting includes the ratio of the passenger flow of the lines and the passenger flow of the networks. By means of the method, the congestion conditions of the stations, the lines and the networks of an urban rail transit can be truly reflected.

The invention discloses an adaptive stable clustering method and a system for load balancing of a high dynamic wireless network, wherein the method comprises the following steps: S1. Calculating a cluster head competency of a node according to a stable neighboring node, and thereby selecting an optimal cluster head to form an initial cluster structure; S2. performing Adaptive maintenance of cluster structure, including maintenance of stable neighboring nodes, storage and updating of standby follower node table, cluster type change, cluster fusion, cluster dissolution and maintenance of multi-gateway node pairs. The invention provides the adaptive stable clustering method for load balancing of the high dynamic wireless network, according to the influence of clustering method on the connectivity, stability and load balance of clustering network, a general stable clustering structure with multiple clusters coexisting can be established according to the local network density, which makes the clustering method suitable for a wide range of scenarios with uneven distribution of nodes and traffic density.

The present invention relates to the technical field of heat sublimation transfer printing, and discloses instant-drying type high-ink-absorption heat sublimation transfer printing digital paper, which sequentially comprises base paper, a water absorption and water permeation layer, a porous mesh bag layer and a surface channel layer from bottom to top, wherein the porous mesh bag layer is a three-dimensional mesh-bag-like interpenetrating network resin formed by cross-linking cellulose or carboxymethyl cellulose sodium or starch and cation modified polyacrylamide, or a three-dimensional mesh-bag-like interpenetrating network resin formed by cross-linking polyacrylamide or cellulose or carboxymethyl cellulose sodium and cation modified starch so as to significantly increase the ink absorption. According to the present invention, the water permeability is increased by regulating the composition of the resin and controlling the network density, such that the water molecules rapidly enter the water absorption and water permeation layer; and the instant-drying type high-ink-absorption heat sublimation transfer printing digital paper has characteristics of high ink absorption capacity, rapid ink absorption, instant drying after printing, good transfer printing effect and the like, and meets the fast printing and efficient production requirements of various dark fabrics.

Provided is an in-vehicle network unicast routing method self-adapted to vehicle density. The routing processes of the in-vehicle network unicast routing method comprise the routing process for mobile nodes and the routing process for static nodes. The routing process for the mobile nodes comprises the following steps of maintaining neighbor state information, sending a report message, sending a departure message, sending a routing request, receiving a routing response and forwarding a message. The routing process for the static nodes comprises the following steps of maintaining the neighbor state information, maintaining a road density value table, maintaining a road time delay table, receiving the routing request, replying a response message and giving a notice of road density changes. When network density is low, the mobile nodes can automatically increase a communication radius and prolong datagram lifetime, so that the success rate is increased within the time delay range required by an application; when network intensity is high, the mobile nodes automatically reduce the communication radius and shorten the datagram lifetime, so that signal collisions in the communication process are reduced while the success rate is increased and time delay is decreased. A good balance is realized between the success rate, time delay and expenditure.

The invention discloses an advanced energy storage fracturing method. The advanced energy storage fracturing method comprises the following steps that firstly, a pressure detection device is lowered,secondly, shaft bottom data are collected, thirdly, water is injected into the shaft bottom, fourthly, ifthe converted pressure coefficient is smaller than the stratum stop injection pressure coefficient, the third step is returned, if the converted pressure coefficient is larger than the stratum stop injection pressure coefficient, the injection of clear water is stopped, at this time, the near wellbore pore pressure is increased, pore microfractures are expanded, the effective stress of rock is lowered, thus fracture fracturing of a main fracturing reservoir in later stage is lower, the fracture network density is larger, fracturing fluid is easier to flow back, and thus the single well yield is greatly increased; and fifthly, a main fracturing pipeline is connected to conduct main fracturing in later stage. The near wellbore pore pressure is improved, the pore microfractures are expanded, the effective stress of the rock is lowered, the purposes of advanced energy storage and expansion are achieved, thus fracture fracturing of the main fracturing reservoir in later stage is lower, the fracture network density is larger, fracturing fluid is easier to flow back, and thus the single well yield is greatly increased.

A method for characterizing the pore network structure of a coal rock comprises the following steps: obtaining three-dimensional data of a coal rock core pore structure by a CT technology, establishing a three-dimensional digital rock core, and establishing a three-dimensional pore network by using a central axis algorithm; simplifying the model data of the pore network, simplifying pores into nodes, simplifying pore passages into edges, marking the pores, and deriving pore communication information; and using a complex network to characterize the basic information of the network, comprising the total number of the nodes, the total number of the edges, node distribution, the average degree of the nodes, the average path length of the network, the network clustering coefficient, the networkmedia, the network density and the network robustness. Compared with traditional coal rock pore structure analysis methods, the method in the invention increases network property analysis, can analyze the seepage law of different pore network communication structures having the same porosity to achieve the purpose of improving the existing gas recovery rate at the microscopic level, and adopts acomplex network theory to quantitatively characterize the pore structure network parameters of the coal rock in order to accurately and comprehensively characterize the pore network communication property of the coal rock.

The invention discloses an environment-friendly waste cutting fluid circulation treatment method and a purification device and belongs to the technical field of a cutting fluid. The method comprises heating a waste cutting fluid sent from a cutting fluid circulation tank to 30 to 42 DEG C, carrying out coarse filtration, then feeding the filtrate into an oil-water separation tank, carrying out primary oil-water separation through an oil scraper assembly, feeding heavy oil from an overflow port of the oil-water separation tank to an oil-water separator, carrying out secondary oil-water separation to obtain a 1-level clear liquid, filtering to remove impurities in the 1-level clear liquid through filter films having different network densities to obtain a 2-level clear liquid, conveying the 2-level clear liquid into a waste cutting liquid work tank, adjusting pH of the 2-level clear liquid to greater than or equal to 9, adding an antibacterial agent into the 2-level clear liquid to obtain a 3-level clear liquid, conveying the 3-level clear liquid into the cutting fluid circulation tank and carrying out recycling. The method has the advantages of simple processes, low energy consumption and high water recovery rate. The separated cutting liquid can be used for preparation of a cutting liquid or be conveyed into a sewage treatment system, subjected to biochemical treatment and discharged.

A car-networking node selecting method based on BS-TS and autoencoder network, and an accessibility routing mechanism thereof belong to the technical field of car networking. According to a problem of irregular distribution of sparse and dense networks in urban roads caused by time and space distribution differences of car-networking nodes, an appropriate node selecting method is provided for different time points and different road sections. Combined with the problems such as low interconnection coupling degree present in car-networking large-scale heterogeneous network, an accessibility routing mechanism suitable for urban roads is designed. By studying a block dividing method of a large-scale car-networking road network diagram, the method in the present invention divides the large-scale car networking into serval small-scale networks, comprehensively considers road sections having similar network density distribution according to an intra-network node number variation trend similarity algorithm and reduces complexity for processing. The routing mechanism does not only have higher success rate for data packet transmission, but also has better stability.

The invention provides a live broadcast pornographic image detection method based on dense antagonistic network semi-supervised learning. Each layer is directly connected with the input live picture and loss function to improve the network density and reduce the phenomenon of gradient disappearance. This method enhances the expression ability of model features and improves the recognition accuracyof live broadcast pictures by generating a countermeasure network identification model. A semi-supervised learning model based on antagonistic network is constructed to learn some tagged data offline. By fitting the generated space of live images, the ability of identifying pornographic images with limited tagged information is improved to the maximum extent. The invention designs a circular progressive training database construction method, which greatly reduces the labor cost and improves the practical application value of the invention. The semi-supervised learning method designed by the invention not only reduces the intensity of manual labeling of training data to a certain extent, but also effectively improves the detection accuracy of pornographic images.

The invention relates to a method for evaluating the grids of a bus network. The method specifically divides a map into user-defined grids, analyzes a communication state between each grid and other grids via the bus network and travelling speed between the grids so as to evaluate the bus network. With an increase in travelling requirements of urban people and an increase in the complexity of the bus network, the evaluation of the bus network becomes a problem directly related to the living of people. The bus network is concerned about communication states between areas, bus complexity between the areas, and time consumed by buses between the areas. In the prior art, the evaluation of the bus network mainly embodies the aspects of stop coverage rate, network density and the like, and cannot completely embody the advantages and the disadvantages of the bus network. The invention discloses a new evaluation scheme which evaluates the bus network by solving the communication state, the number of transfer times, and speed between any one area and other areas in a city.

The invention provides a noise automatic monitoring equipment point laying method based on a noise map. The method comprises the steps of determining the total number of road traffic monitoring pointsthrough urban scale and urban road network density, and calculating the number of noise monitoring points of each type of road according to the total length of each type of road in a city; then basedon the equivalent sound level and road length of each road in the noise map, and selecting a specific monitored road; then using a road cell in the noise map as a reference, calculating the equivalent sound level of the road cell according to a calculating result in the noise map, combining adjacent road cells with a sound level difference in a threshold; and selecting the central point of each cell after combination as an area monitoring point. The method is applied to laying of the noise automatic monitoring equipment points, and settles problems of automatic monitoring equipment point laying plan shortage, no consideration for current sound environment quality in an artificial monitoring point, over broad method in a specification, etc.

The invention discloses a reinforcement learning exploration method and device based on a generative adversarial mechanism, and the method comprises the steps: constructing a first action value network, a second action value network, a state value network, a target state value network, a strategy network, a density model network and an identification network; updating the first action value network, the second action value network, the state value network, the target state value network, the strategy network, the density model network and the identification network based on a generative adversarial mechanism and a learning process of an offline reinforcement learning algorithm; and generating an updated strategy model according to the plurality of updated networks, and testing the strategymodel. According to the method, an exploration algorithm utilizing a correct decision acceleration and stable reinforcement learning training process in an exploration process is designed.

The invention provides a method used for calculating the bus network density of any region in a city. The invention relates to a bus system network density calculation method, and especially relates to the bus network density method in any region in the city based on multi bus line GPS data. According to the method used for calculating the bus network density of any region in the city, GPS data of a number of bus lines are split; a distance similarity technology is used to remove repetitive lines; non-repetitive lines are accumulated to acquire the total length of a road centerline; the total length is divided by a selected city area to seek the ultimate bus network density; and a good reference is provided for network planning and optimization of a bus company.

The present invention discloses a decision tree mechanism-based multi-copy routing method in vehicular Ad hoc networks, and belongs to the technical field of vehicular Ad hoc networks. In the method, a machine is used for learning a learning method in a decision tree C4.5; a vehicle firstly collects historical data, then performs integrated processing on the collected historical data, and performs classification and grading on selected corresponding attributes by using the learning method of the decision tree to generate a decision rule tree; and the constructed decision rule tree is used in transmitting between an initial message and a message copy to enable the transmission of the message to be relatively directional and purposeful. The method is used for solving the problem of overlarge network cost brought from blind flooding retransmission of the message copy number in multi-copy routing, and simultaneously solving the problems of low delivering rate and large time delay as direct transmitting is passively adopted; and compared with a conventional method, the method disclosed by the present invention has higher performances such as timeliness and reliability, and is more suitable for the vehicular Ad hoc networks having high-dynamic topology and a relatively high network density.

The invention relates to a composition function agent for improving the mechanical property of a solid propellant, and the solid propellant comprising the composition function agent. The composition function agent is prepared from phenylamine and a stabilizer, wherein the percentage contents of the phenylamine and the stabilizer accounting for the total mass of the solid propellant are respectively 0.03 percent to 0.35 percent and 0.3 percent to 2 percent. By adopting the composition function agent prepared from the phenylamine and the stabilizer, an interface effect is improved, hydroxyl in the phenylamine can enter to a propellant network structure to adjust the network density of an adhesive, and meanwhile, a benzene ring in the phenylamine is of a rigid structure and can be beneficial to remarkably improving the strength and the modulus of the propellant when being used as a hard segment, so that the mechanical property of the high-energy solid propellant is improved; meanwhile, the high-efficient stabilizer is adopted, so that the suppression of the chemical compatibility of phenylamine composition function agent and nitric acid ester is improved, the decomposition of the nitric acid ester under a weak alkali condition is suppressed, and the function of further improving the mechanical property of the propellant is realized.