212 results about "Visual sensor network" patented technology

The invention discloses an intelligent visual sensor network moving target relay tracking system based on a GPS (global positioning system) and a GIS (geographic information system). The intelligent visual sensor network moving target relay tracking system comprises a plurality of monitoring camera shooting unit, each monitoring camera shooting unit comprises a monitoring camera, a GPS receiving positioning module and a wired / wireless communication module are embedded into or disposed in each monitoring camera shooting unit, each monitoring camera shooting unit is used for acquiring video sequences in a monitoring area, and each wired / wireless communication module is used for transmitting the video sequences to a monitoring center via a wired or wireless digital communication network. The monitoring center comprises a wired / wireless communication module, a target analysis module, a relay tracking scheduling module, a relay tracking network generation module, a database server, a display interactive module and the GIS. The intelligent visual sensor network moving target relay tracking system can achieve independent discovery, real-time positioning and relay tracking of movable suspicious targets, integrally display monitoring videos of the targets on an electronic map and achieve multiple functions of emergency linkage, video monitoring, scheduling commanding and the like.

Systems, methods, and manufactures for a surveillance system are provided. The surveillance system includes sensors having at least one non-overlapping field of view. The surveillance system is operable to track a target in an environment using the sensors. The surveillance system is also operable to extract information from images of the target provided by the sensors. The surveillance system is further operable to determine probablistic confidences corresponding to the information extracted from images of the target. The confidences include at least one confidence corresponding to at least one primitive event. Additionally, the surveillance system is operable to determine grounded formulae by instantiating predefined rules using the confidences. Further, the surveillance system is operable to infer a complex event corresponding to the target using the grounded formulae. Moreover, the surveillance system is operable to provide an output describing the complex event.

The invention discloses a thing Internet gateway of a heterogeneous wireless network and a control method thereof. Function, such as protocol conversion, route selection, data exchange and the like, is provided in the network interworking process of different structures or protocols of the thing Internet. The gateway is a multi-layer cascading gateway and comprises a main gateway used for communication, sensor network management and topology management, and sub-gateways responsible for converting and penetrating a short-range wireless protocol and receiving front-end sensing network data, wherein each of the sub-gateways is connected with the main gateway. The limitation to the access ability of a sensor network is overcome, so that various front-end sensing nodes access a thing Internet platform without barriers; free networking of the sensor network front end is realized by taking full advantage of the conventional communication capacity and cascading gateway technology at the same time; the problems of the failure management and performance management of the sensor network front end are effectively solved; and the safety, the reliability and the stability of the sensor network and neurones are enhanced.

The utility model relates to a dynamic modeling and control technique of a self-moving sensor network and belongs to the sensor network technology. According to the technical proposal provided by the utility model, the dynamic modeling and controlling technology of a self-moving sensor network comprises the steps: the step I: build a distributed moving sensor network model based on the local Delaunay triangulation and other applicable diagram; the step II: use two methods to perform the distributed self-arrangement and the self-organization in the network for the sensor controlling node of each region in the distributed moving sensor network model; the step III: use the formation algorithm to control the network node formation and the node cooperation to achieve the purpose of fully energy-saving; the step IV: build the ad-hoc route data transmission protocol of the self-organization network of the distributed mobile robots to realize the stable work of the entire self-moving sensor network. The utility model can provide an algorithm for the repeatable configuration, cooperation, route development and verification of the sensor network with a plurality of moving sensor nodes.

The invention relates to the field of wireless self-organizing networks and sensor networks, in particular to an energy consumption control method under delay constraint in a wireless sensor network. The energy consumption control method comprises the following steps of: generating a normal data packet and a pioneer data packet by a source node when data packets in the wireless sensor network need to be transmitted to a base station from the source node, wherein the normal data packet is used for transmitting the data packets, and the pioneer data packet is used for selecting nodes on a transmission path; determining the delay constraint of the nodes on the transmission path; computing the best sleep time of the nodes on the transmission path; applying the best sleep time to a duty ratio self-adaptive adjustment mechanism to obtain new duty ratio to transmit the data packets; and respectively recovering work cycles of all the nodes on the transmission path into an original state after all the data packets are transmitted to the base station. According to the energy consumption control method under the delay constraint in the wireless sensor network, on the premise that the constraint condition of the wireless sensor network on transmission delay is met, the energy consumption of the wireless sensor network is reduced to the maximum limit, and the service life of the wireless sensor network is prolonged.

The invention provides a safe and effective data aggregation method in a wireless sensor network, belonging to field of data aggregation. The existing method only considers the energy effectiveness problem, can not filtrate abnormal error data and baleful attack data, and can not ensure the effectiveness and the safety. The method comprises the steps as follows: firstly, during an intelligent grouping stage, the whole sensor network is divided into a plurality of groups, so as to ensure the sensor nodes in each group are adjacent to each other in physical position and the data values collected by the sensor are approaching; secondly, during a data transmission and recognition filtration stage, all sensor nodes in the group send the collected data to the master node in the group; the master node filtrates error or false data information by an abnormal data recognition algorithm; finally, the master node aggregates the filtrated data according to the specific sensor network application request and transmits the data to gateway node. The method ensures the effective and safe recognition and filtration of error and false data information.

The present invention relates to a system and method for providing power management to sensing nodes in a sensor network. A system may include a plurality of sensing nodes, each sensing node connected through a power management device to an external power source, such as a powered node of another network, for managing power from the external power source to the sensing node. Beneficially, a plurality of power management devices allow for a sensor network of fixed or mobile wireless sensing nodes or sensor gateways to make use of power from an external source such as an another network e.g. an existing emergency lighting system or other similar powered building system. Thus for example, a sensor or group of sensing nodes and their associated power management devices may be integral with or co-located in proximity to powered nodes of these other networks. An intelligent power management device connected to at least one of the sensing nodes may provide for power policy management to sensing nodes based on monitoring power conditions such as available power, power level status, and information obtained from the sensing nodes indicative of network conditions, detecting a change therein, and regulating power to the sensing node depending on the change.

The invention provides a sensor network for environmental monitoring. The sensor network comprises one or more sensing nodes, a plurality of routing nodes and a center node, wherein the sensing node is used for acquiring sensing data and transmitting a sensing data packet to the plurality of routing nodes; the routing node is used for receiving the sensing data packet, setting delayed forwarding time for the received sensing data packet, and forwarding the sensing data packet to a parent node of the routing node at the delayed forwarding time under the condition that the sensing data packet is not forwarded by another routing node at a current moment; the parent node is the center node or another routing node; the delayed forwarding time is randomly selected; and the center node is used for summarizing the sensing data packets. The invention also provides a corresponding data transmission method. By the sensor network and the method, the problem of over-high 'hotspot' energy consumption speed in the network is effectively solved, thereby prolonging the service life of the network. The outdegree of each sensing node is far more than 1, so data loss can be completely avoided.

The invention relates to a mobile node positioning algorithm based on integration of a sensor network and a cellular network. A PAD ID floor information mapping table is first formed and stored in a backend server of the cellular network. After entry into a wireless sensor network, a mobile terminal first broadcasts a positioning request to peripheral sensor nodes and communicates with nodes in the sensor network by use of a 64-bit address directly. When receiving the positioning request, a node sends position and PAN ID information to the mobile terminal. After receiving replies from a plurality of beacon nodes, the mobile terminal extracts, from Respond information, the PAN ID information, coordinate information of the beacon nodes and received signal strength RSSI which are integrated into positioning information. The mobile terminal sends the positioning information to the backend server of the cellular network and sends out a command to start the positioning algorithm. Through the positioning algorithm, the backend server of the cellular network finally determines the floor, room information and the coordinate of the mobile terminal. According to the invention, the energy consumption and the network burden of the wireless sensor network are significantly reduced.

The invention provides a sensor network distributed consistency object state estimation method. The method, based on information transmission between observation nodes of a sensor network, enables dynamic function division to be carried out on sensor nodes in the network, and observation node sets participating in consistency state estimation are adaptively optimized and selected in real time; on the basis of a distributed maximum a posteriori theory, weighting processing is performed on object prior information and measurement information; and with the influence of covariance of state estimation errors of different observation nodes on the calculation of average consistency state taking into consideration, and effective information consistency processing is performed, the distributed state estimation accuracy of each observation node can rapidly approach to the centralized estimation accuracy, state maintenance of blind nodes on an object is guaranteed, and the cases of endless emergence of new tracks and uncertainty of the tracks and the like can be effectively prevented.

A system for big data aggregation in a sensor network is provided, and the system includes a sensor network which comprises two or more sensor nodes connected to each other over a wired / wireless network and is configured to transfer sensor data generated by each of the two or more sensor nodes to a big data management unit by setting a destination address in the sensor data as an address of a big data management unit; and the big data management unit configured to distribute and dispersedly store the sensor data based on the set destination address of the sensor data.

The invention provides a power network detection method based on a sensor network. The power network detection method based on the sensor network includes the steps of abnormity detecting, node reporting, cluster reporting, cluster set resetting, cluster set dynamic updating and cluster set combining. The invention further provides a power network detection system implementing the method. When a relatively important abnormity state is detected by nodes of the sensor network, abnormity data can be uploaded in real time, and transmission time delay is shortened. In addition, as the nodes of the same abnormity area can be integrated into one cluster set, the abnormity data can be transmitted, managed and applied in a gathered mode, and influence on other nodes except for the abnormity area is reduced.

The invention discloses a parameter adaptive adjustment method of a wireless sensor network. A star network topological model is used; the sensor network is composed of a sensor node and a coordinator; the node is used for collecting sensor data; and the coordinator is taken as a convergence device of the whole sensor network, and is used for collecting the sensor data uploaded by the node. An 802.15.4 protocol based on a time slot CSMA / CA is adopted in communication of the wireless sensor network, and a Q-learning algorithm is used to dynamically optimize parameter settings of the protocol, so that the problem of adaptability of the 802.15.4 protocol to a position network environment can be effectively solved; while the quality of network service is improved, the overhead of the network is effectively reduced; and thus, the parameter adaptive adjustment method is an optimization method of the wireless sensor network with strong adaptability, high timeliness and good quality of service.

The invention provides a wireless sensor network and a sensor network-based water quality monitoring system. The wireless sensor network comprises a plurality of wireless sensor nodes and sink nodes for measuring environmental parameters, wherein the sensor nodes and sink nodes are wirelessly connected. The wireless sensor network provided by the invention effectively combines a modern wireless communication technique with a wire communication technique so as to form a full set of environment monitoring system, overcomes the shortcomings of a traditional monitoring scheme and has the advantages of practicability and advance.

The embodiment of the invention discloses a node deployment method and a node of a sensor network. The method comprises the following steps of: deploying sensor head nodes at fixed positions of a perception area, wherein all sensor node information in the perception area is prestored in the sensor head nodes; moving other nodes which are randomly deployed to the head nodes according to a fence line until other nodes are directly or indirectly communicated with the head nodes; determining movable nodes and uncovered areas according to information which is exchanged by communicating the nodes; and diffusing the movable nodes to the uncovered areas so as to ensure coverage rate. By the method and the node, the coverage rate of the nodes in the movable sensor network can be improved, the moving distance of the nodes can be reduced and the network connectivity can be ensured when the nodes of the mobile sensor network are deployed.

The invention discloses an actively predicted reliable data transmission method in a wireless sensor network, which comprises the following five steps of: 1, dividing the sensor network into a plurality of grids, wherein the number of the grids is determined by the network scale and the node communication radius r; 2, selecting A type nodes from each grid, and recording the input and output rate of all the nodes in the grid in the period; 3, analyzing each node by adopting a single service window mixed queuing model M / M / 1 / m; 4, calculating an average input and output rate of the A type nodes according to the recorded node input and output rate, counting storage usage of each node, and calculating the average storage usage of the grid; and 5, setting the weight for node level and system level control methods respectively according to the network conditions by combining the steps 3 and 4. The method improves channel bandwidth utilization rate, reduces network energy consumption, solves the problem of the reliability of the sensor network data transmission, and has practical value and wide application prospect in the technical field of reliable data transmission in the wireless sensor network.

The invention discloses a sensor network for acquiring state of urban road traffic pertaining to the field of information technology. The sensor network includes access nodes or sensors with field bus communication interface, composite nodes and a central processor unit, wherein, the access nodes are connected to the sensors, and are connected to the composite nodes through the field bus; composite nodes receive data from the access nodes or sensors with field bus communication interface through field bus, and transmit the data to the central processor unit through a large data bulk communications network; the central processor unit is located at the traffic command center, receives the data transmitted from the composite nodes through the large data bulk communications network; and perform comprehensive processing to the obtained data. The invention integrates the existing road traffic sensors into a unified system, and realizes the information intercommunication and interconnection between distinct types of sensors; at the same time, greatly reduces the pressure to the network and central processor unit during data transmission and processing.

The invention relates to a clustering routing method for a mobile sensor network. For the application environment of the mobile wireless sensor network, the LEACH protocol in a traditional wireless sensor network is improved, and the shift factor and the energy factor are added so as to select a node with relatively low moving speed and high residual energy to form a cluster header node. At the data transmission stage, the dynamic time slot allocation method is adopted, and time slots which are free due to the fact that nodes leave a cluster structure are marked as free time slots and allocated to new member nodes. Thus, the problem that transmission time slots need to be re-divided continuously due to the fact that sensors move is effectively solved, network energy consumption is reduced, network time delay is shortened, and the network lifetime is prolonged.

The present invention relates to the health and medical community monitoring field, the new generation high speed mobile communication field and the intelligent embedded system field. The device name is tracking body diagnosis pre-warning nursing device based on a rear 3G high speed wireless net. A set of medical sensor used for obtaining human body physiology data is also required to be matched with the device when in use. The technical problems to be solved includes obtaining the parameter of a multiple-parameter nondestructive examination medical sensor, analog-to-digital conversion of sensor signal, building a short distance miniature movable sensor network, accessing the rear 3G net in the air, a method of accessing the rear 3G net in the movable sensor network, a remote exact tracing method, etc. The key points are that the latest wireless mobile technology is adopted to nurse and diagnose the latent sudden disease carrier, the mental sickness patient, the parturient women, the organ transplanters, etc., in real time and process the sudden danger in time. The device of the present invention can be widely applied to every large medical treatment and nursing mechanism and is also fit for small scale monitoring in family.

A sensor network system for tracking moving objects within a surveillance region includes a plurality of network nodes, each assigned and / or assignable to a subregion of the surveillance region, in which at least one of the network nodes includes a classifier generator which is programmed and / or electronically configured to train a local classifier to discriminate the moving objects that are relevant in the assigned subregion, and in which network node is designed to forward object information on the moving objects to other network nodes for the purpose of tracking and / or recognizing moving objects that move away from network node and toward the other network nodes, and in which the object information is designed as classifier.

The invention discloses a method for judging strong barrier coverage of a directed sensor network in the technical field of wireless communication, which is used for solving the problem of researching existence of the strong barrier coverage of the traditional directed sensor network. The method comprises the steps of: randomly deploying directed sensor nodes, wherein the directed sensor nodes self-recognize to form a directed sensor network through a broadcasting manner; generating a virtual node for each directed sensor node by a sink node, wherein the virtual node also has a perceptive direction and a perceptive region; constructing a directed coverage connected graph by the sink node according to the generated virtual nodes and two virtual boundary nodes; and traversing the directed coverage connected graph by the sink node and judging whether the directed sensor network meets the strong barrier coverage. According to the invention, the limits of simple assumption, large computation and the like of the traditional judging method in practical application are overcome, and the judgment of the strong barrier coverage of the directed sensor network is effectively realized.

The present invention relates to methods and access devices for collecting data from a plurality of sensors (10) of a wireless sensor network, wherein a broadcast signal is transmitted by a master device (30) which currently collects the data, and wherein handover of data collection control from the current master access device to an alternate access device is initiated based on a result of the detection. The handover request signal is received at the master device and a handover reply is signaled to a source device of the handover request signal, the handover reply indicating the time at which data collection is handed over from the access device to the source device. Thereby, the master device can be changed in a flexible manner based on current environmental conditions.

The invention discloses an intelligent monitoring system and method based on a combination of a 3DGIS with a real scene video. The system comprises a plurality of visual sensors, a network transmission unit, an image processing unit, an intelligent behavior recognition unit, a central processing unit and a display; and the method comprises an S1 step of using the plurality of visual sensors for collecting real-time video signals; an S2 step of analyzing the real-time video signals, and extracting shape, behavioral and coordinate information of a moving target; and an S3 step of building a moving target model based on the shape, behavioral and coordinate information of the moving target, and dynamically displaying the moving target model on a corresponding coordinate of an electronic map. According to the invention, by use of the technologies such as the visual sensors, broadband transmission, image processing, intelligent behavioral recognition, photogrammetry, 3D virtual environment and the like, real-time panoramic video browsing and monitoring are achieved with good social and economic benefits. The invention can be applied to a variety of video monitoring systems.

The invention discloses a wireless sensor network data transmission method based on pilotless vehicle monitoring. A pilotless vehicle provided with sensor nodes enters into an area covered by a sensor network from a certain entrance to an exit. The method comprises the following steps of: firstly, performing node clustering networking to form an efficient communication backbone network; then, finding a shortest path with low energy consumption from a source node to a destination node for the pilotless vehicle, and simultaneously determining the shortest path of monitoring message transmission; and collecting monitoring messages by the vehicle while passing through the path, and returning the monitoring messages to a base station by the wireless sensor network. The invention realizes dynamic monitoring on a pilotless dangerous environment, and better solves the problem that the netwrok life cycle is shortened because a certain nodes are frequently used for transmitting data during datatransmission to cause unbalanced node energy in the network and thus the excessively used nodes die too early by forming the backbone network by residual nodes with high energy.

The invention belongs to the field of natural situation data acquisition and analog, specifically a 4D (Four Dimensional) thunder collecting method using a sensor network. The method comprises the following steps of: 1, designing multiple physical attributes sampling nodes of the thunder, and collecting physical parameter information such as radio frequency spectrums, thunder clap and the like of space 3D (Three Dimensional) lightning shapes and thunder by using the sensor network in a large range, wherein each network node comprises the following devices: a low-speed camera, a high-speed camera, a sound detector, a GPS (Global Positioning System), a 3G (Third Generation) wireless communication device, and a radio wide frequency spectrum analyzer; 2, carrying out multilevel sampling in thunder areas by combining fixed-point collection and mobile collection; 3, carrying out the synchronization of data acquisition by the calibration of multi-node multi-device; 4, transmitting multi-node large-scale sampling data by the 3G wireless communication device; and 5, generating a 4D thunder sampling database. The invention has the characteristics that the 3D shapes of lightning, thunder clap and radio frequency spectrum can be synchronously acquired and the collection on large-scale thunder data is realized by the combination of the fixed-point collection and the mobile collection. In the invention, the collected thunder data can be applied to the meteorological environmental monitor and the thunder simulation based on physic.