57 results about "Sensor networking" patented technology

An integrated passive wireless chip diagnostic sensor system is described that can be interrogated remotely with a wireless device such as a modified cell phone incorporating multi-protocol RFID reader capabilities (such as the emerging Gen-2 standard) or Bluetooth, providing universal easy to use, low cost and immediate quantitative analyses, geolocation and sensor networking capabilities to users of the technology. The present invention can be integrated into various diagnostic platforms and is applicable for use with low power sensors such as thin films, MEMS, electrochemical, thermal, resistive, nano or microfluidic sensor technologies. Applications of the present invention include on-the-spot medical and self-diagnostics on smart skin patches, Point of Care (POC) analyses, food diagnostics, pathogen detection, disease-specific wireless biomarker detection, remote structural stresses detection and sensor networks for industrial or Homeland Security using low cost wireless devices such as modified cell phones.

The invention provides a plurality of individually addressable radio frequency (RF) modules, any of which can be installed with any electrical device such as an ambient condition sensor or an ambient condition modifier. A prime example would be a light fixture, whether with or without a dimmable light source efficient dimming and integrated smart sensor networking related to the lighting system itself or to other systems such as parking monitors, fire alarm monitors or security alarm monitors. Independent control processing in each lighting fixture or electrical device allows a multiplicity of sensors to be locally employed and their data to control local conditions or communicate to adjoining fixtures and electrical devices and thereby control larger portions of the lighting system network or network to several unrelated systems.

Methods and systems for smart data processing and dissemination in wireless sensor networks are provided herein. In one aspect, the present invention provides dynamic and independent data processing and dissemination at individual sensor nodes in a wireless sensor network. In another aspect, the present invention provides data processing and / or dissemination methods at a sensor node that are responsive to, among other parameters, network traffic conditions, network connectivity conditions, conditions at the sensor node, and the data characteristics and QOS (Quality of Service) requirements of the data being processed and / or disseminated. In yet another aspect, data processing and / or dissemination rules according to the present invention are easily configurable and modifiable depending on the specific sensor networking application.

Provided are a beacon scheduling system and method for preventing beacon overlapping in a ZigBee network including routers each with a beacon slot number according to a specific time slot. The system includes: a first router periodically transmitting beacons at a beacon interval according to a specific time slot; and a second router finding the beacon interval by scanning the beacons transmitted by the first router and transmitting beacons within the beacon interval in consideration of a superframe period for transmitting data. When a router in a sensor network operates, the router can efficiently select the beacon transmission time, and a sink node manages beacon overlapping between all the routers. Therefore, stable, low-energy consumption, and excellent performance sensor networking environments can be established in a beacon mode.

The invention relates to a detection method for forecasting fruit maturity based on fruit skin color and environmental temperature. According to the method, an intelligent color sensing module and an integrated temperature sensor based on the chip of a wireless singlechip CC2430 are installed in a fruit tree for comprehensive detection and judge of the fruit maturity. Onsite measuring sensor networking is carried out through a Zigbee module and monitoring data low power consumption wireless transmission is realized. A frequency signal outputted from the color sensor is subjected to signal conditioning, digitization and parameter correction so as to obtain a RGB parameter of the fruit surface color. An analog signal outputted from the temperature sensor undergoes AD conversion and filtering correction and then is used as a factor for judging the fruit maturing trend. The above parameters undergo multi-sensor data fusion and analysis and then the fruit maturity can be evaluated and simultaneously the fruit maturing speed can be forecasted. The method can be used for remote and nondestructive detection of fruit maturity. Therefore, managers can master fruit harvest time flexibly, thus minimizing economic loss of orchard workers.

The invention discloses a passive sensor networking detection multi-target method. A passive sensor networking system carries out intersection positioning by using a direction-finding intersection method according to angle information provided by a sensor; a ghost point is eliminated by using information redundancy static between multiple platforms; subsequently the ghost point is dynamically eliminated by using a virtual flight path tracking technique, so as to realize the accurate positioning and tracking on multiple targets. The method for eliminating the ghost point comprises the steps of: calculating each flight path tracking door; carrying out association processing on point targets (obtained from the intersection positioning) with each grade of flight path files in sequence in accordance with the flight path grades from high grade to low grade; and starting, combining, cutting, branching and deleting the flight path according to the association situation. The passive sensor networking detection multi-target method has the following advantages that target movement characteristics are sufficiently utilized, the ghost point is dynamically eliminated in the target tracking process, the engineering is strong in realizability, and the ghost point can be effectively eliminated under the condition that the targets are dense or measuring noise exists.

The invention provides a system integrating video sensors with RFID sensors. The system comprises a multi-sensor networking management platform and multiple sensor monitoring acquiring points. The multiple sensor monitoring acquiring points are connected with the multi-sensor networking management platform via a network. Each sensor monitoring acquiring point comprises video sensors, RFID readers, and a comprehensive processing control device, wherein the multiple video sensors and the multiple RFID readers are all electrically connected with the comprehensive processing control device. Each comprehensive processing control device is formed by an information processing module, an information synchronous associating module, a comprehensive determining module, and an alarm module which are connected successively according to information flow direction. With the advantages of the video sensors with the RFID readers, the system compensates the defect of a single sensor in order to timely discover problems of fake-licensed cars and RFID signal shielding and timely take linkage control operation. The system may better satisfy vehicle management controllability, authenticity, and validity of an intelligent transportation system.

The invention discloses an intelligent home monitoring system based on the internet of things. A sensing and control unit detects various state parameters in a family environment in real time and transmits the state parameters to a host control unit; the host control unit is responsible for performing networking management and control on the sensing and control unit, processes environment sampling data of the sensing and control unit and automatically reports warning information to a man-machine interaction unit; the man-machine interaction unit communicates with the host control unit, inquires home environment data and sets a warning threshold, and household appliances can be remotely controlled. By means of the system, the parameters in the home environment can be monitored in real time, the function of remote control can be achieved through a mobile phone, and an intelligent home which is truly managed and controlled automatically is achieved; a low-power-consumption communication protocol and software programming are combined, power consumption of the system is greatly lowered, sensor equipment powered on through batteries is flexibly arranged easily, and sensor networking is very convenient.

The invention discloses a traffic sensor networking method based on Bluetooth communication. The method comprises the steps that a sensor node, a data transmission node and a gateway node are arranged on a road, wherein the nodes comprise Bluetooth communication modules; a gateway node and a set of sensor nodes are arranged on the road, wherein n groups of data transmission nodes are arranged between the gateway node and the sensor nodes of the road, and the gateway node is used as a root node; the root node is used to query the data transmission nodes in the own coverage to establish connection to form a root piconet; a slave node with the highest energy value is selected as the main node of a secondary piconet, and network diffusion is carried out to build the secondary piconet; a n+1-level piconet is built gradually, wherein slave nodes of the n+1-level piconet are the sensor nodes; a Bluetooth distributed network is finally formed; and vehicle information detected by the sensor nodes is sent to the gateway nodes through the network, and is finally transmitted to a server for processing. The traffic sensor networking method provided by the invention has the characteristics of low power consumption, low delay, extra-long communication distance, high data transmission security and the like.

The invention discloses a transformer equipment sensor networking system and method based on a distributed bootstrap algorithm. The system comprises a plurality of state information collection sensor common nodes determining whether to be selected as cluster head nodes according to a self distributed bootstrap algorithm; after the cluster head nodes are selected, the state information collection sensor common nodes uploading collected equipment state information to an equipment state information collection sensor cluster head node; the equipment state information collection sensor cluster head node performing fusion processing on received equipment state information, and sending the information to a transformer equipment monitoring system; the transformer equipment monitoring system sending the received equipment state information to a transformer station subsystem; and the transformer station subsystem sending the information to an extraneous monitoring system server. The system and method can perform networking through transformer station sensor nodes in a distributed bootstrap algorithm, substantially reduce sensor energy consumption, equalize node energy consumption, and prolong network whole work time.

The invention discloses an IPv6 addressing and networking method based on physical space position mapping. The IPv6 addressing and networking method includes that physical space position information, namely longitude, latitude and height information is utilized for IPv6 coding, and short format address networking is adopted in the process of addressing and routing to lower communication expense and storage expense. The IPv6 addressing and networking method aims at realizing a low-energy-consumption IPv6 addressing scheme compatible with existing IPv6 standards, and prefix attribute and spatial topological attribute are given to an IPv6 address; the IPv6 addressing and networking method is supportive of IPv6 address short-format coding and an address-position-based routing mechanism, thereby being suitable for large-scale, low-energy-consumption, isomeric and ubiquitous network scenes like large-scale sensor networking, and the process of interconnection with an IPv6 network can be simplified.

The invention relates to a networking method of a wireless grid sensor based on link stability estimation, in particular to a networking method of a wireless sensor network to solve the problems that the network throughput is low, the network time delay is high and the protocol expenditure is high caused by that the original sensor networking method cannot utilize geographic location information to carry out link estimation by local nodes. The wireless sensor network is divided into grids; when a data group of one sensing node or a relay node needs to be sent to a center node, a sending direction of the group is initially selected according to relative position information between the sensing node or the relay node and the center node and all the alternative relay nodes are listed; and link stability information of all the alternative relay nodes in the direction is estimated by estimating the link stability information of a sending node and the relay nodes in the grids by the sending node according to the relative position information between the sending node and the adjacent grids in the selected direction. The method provided by the invention is used for establishing a network.

The invention relates to a multi-source data fusion method for a low-speed small target detection system, and belongs to the technical field of radar information detection. The multi-source data fusion method includes six implementation steps, aiming at low, slow and small target track characteristics, calculates the single-source track quality data in real time, distributes a fusion weight in a self-adaptive manner according to the track quality data, is high in adaptability to complex and changing environment backgrounds, can utilize multi-radar cooperative detection to the maximum extent, can bring the advantages of multi-sensor networking detection into full play, can effectively improve the detection precision and the detection stability of low, slow and small target tracks, can savenetworking resources, and can improve the environment adaptability of the multi-source information fusion method. The multi-source data fusion method solves the problems that a weighted average fusionmethod is adopted in an existing multi-sensor multi-source information fusion method, and initially gives a weight coefficient, so that the method is difficult to adapt to the influence of environmental interference in low, slow and small target detection, and the fusion result precision is not high due to unreasonable setting of the weight coefficient, and networking resources are wasted.

The present invention relates generally to a system and method of networking and interconnecting a large number of various types of sensors to a remote location in an efficient manner. Specifically, the invention utilizes a flexible, configurable, scalable and power-efficient sensor interface relay architecture to gather sensor data from various locations and then relay it to a remote location via the internet.

The invention provides a multi-physical-parameter sensor based on multi-channel surface acoustic wave. The sensor comprises an antenna, a signal end, a grounding end and a sensor chip, wherein the antenna is separately connected with the signal end and the grounding end on the sensor chip; the sensor chip comprises a piezoelectric substrate, a signal transmission channel, a surface acoustic wave temperature sensing unit, a surface acoustic wave gas sensing unit and a surface acoustic wave vapor sensing unit; and the signal transmission channel connects the surface acoustic wave temperature sensing unit, the surface acoustic wave gas sensing unit and the surface acoustic wave vapor sensing unit which are arranged in parallel on the piezoelectric substrate. The sensor transmits multiple sensing physical parameters in a wireless mode, thereby realizing sensor networking and further promoting networking of power equipment monitoring.

The invention relates to an optical fiber ringdown cavity sensor array device based on wavelength division multiplexing, relates to a sensor networking system, and aims to solve problems of high cost and resource waste due to the fact that a plurality of optical fiber ringdown cavity sensors are required in the physical quantity measurement of a plurality of positions, and each optical fiber ringdown cavity sensor correspondingly requires a light source and a demodulation light path. The device comprises a tunable laser, an acoustic-optical modulator, an isolator, a photoelectric detector, M optical fiber ringdown cavity sensors and M fiber bragg gratings, wherein the tunable laser, the acoustic-optical modulator and the isolator are sequentially connected to a light path in series; couplers of the M optical fiber ringdown cavity sensors and the fiber bragg gratings are sequentially connected in a light path in series through optical fibers, and the isolator is communicated with an input end of the light path; and output couplers of the M optical fiber ringdown cavity sensors are sequentially connected in an output light path in series through optical fibers, a light signal in the output light path is received by the photoelectric detector, and the photoelectric detector outputs a sensing signal. The optical fiber ringdown cavity sensor array device is applicable to sensor networking.

The invention discloses a sensor networking control method and device, and is used for networking of sensors in a traffic control system. The method and device can be applied to an intelligent traffic control system, the intelligent traffic control system comprises at least two signal lamps, and each signal lamp is equipped with a sensor. The method includes: a first sensor on the first signal lamp receives a networking request sent by a second sensor on a second signal lamp, wherein the networking request carries road information and lane information of an intersection where the second signal lamp is located which are collected by the second signal; the first signal lamp acquires road connection information; the first signal lamp judges whether preset networking conditions are satisfied according to the acquired road connection information and the received road information and lane information; if yes, the networking request is accepted; and if no, the networking request is refused.

The invention discloses a sensor networking time-staggered awakening control method and system based on a ZigBee technology. The method comprises the steps: enabling a sensor to collect a vibration signal and an instantaneous temperature of a vibration measurement point, obtaining a vibration state value of the vibration measurement point through edge calculation, and uploading the vibration statevalue to an industrial IOT box; collecting acceleration original value data via the sensor according to a command of the industrial Internet of Things box and uploads the acceleration original valuedata to the industrial Internet of Things box; controlling the sensor to wake up in a staggered manner, acquiring an acceleration original waveform of the vibration measurement point, storing the acceleration original waveform in a local flash memory, and waiting for a command of the industrial Internet of Things box to export data to the industrial Internet of Things box. According to the methoddisclosed in the invention, hundreds of vibration measurement points are comprehensively managed by the public industrial Internet of Things box; hundreds of infrared temperature measurement and vibration sensors are sequentially awakened in a time-staggered awakening mode, the vibration condition waveform of the current vibration measurement point is collected, parameters such as the dormancy time, the vibration automatic awakening function enabling and the collection wavelength of the infrared temperature measurement and vibration sensors can be configured, and the method is effective and reliable.

Methods and systems for smart data processing and dissemination in wireless sensor networks are provided herein. In one aspect, the present invention provides dynamic and independent data processing and dissemination at individual sensor nodes in a wireless sensor network. In another aspect, the present invention provides data processing and / or dissemination methods at a sensor node that are responsive to, among other parameters, network traffic conditions, network connectivity conditions, conditions at the sensor node, and the data characteristics and QOS (Quality of Service) requirements of the data being processed and / or disseminated. In yet another aspect, data processing and / or dissemination rules according to the present invention are easily configurable and modifiable depending on the specific sensor networking application.

The invention relates to a water quality monitoring device for supplying power to a water quality sensor by a wind power generation system, and belongs to the technical field of new energy Internet of Things. The wind blows the blades of the wind generator to rotate, driving the wind generator to generate current, which supplies power to the water quality sensor placed in the pool water through the conductive wire. The water quality sensor detects the content of harmful chemical elements that cause pool water pollution, and converts the harmful chemical elements The water pollution information is converted into a measurable electrical signal through the wireless transmitting antenna, and the wireless receiving antenna of the water quality monitoring device on land receives the electrical signal of the water pollution information, and inputs it into the computer center for processing, and the water quality monitoring device The device issued an instruction, and the relevant departments took measures to control water pollution.

The invention provides a low frequency vibration displacement sensor networking method, system and device. The low frequency vibration displacement sensor networking method is applied to a plurality of sensors and computing devices in communicational connection. The method includes that the sensors send sampling signals to the computing devices separately; the computing devices utilize a frequency spectrum difference value method for performing amplitude frequency compensation on received sampling signals; the computing devices perform time domain compensation on the sampling signals subjected to amplitude frequency compensation so as to realize sampling signal time domain synchronization. Therefore, synchronous acquisition of data of the sensors in multi-spot distribution is ensured and the time domain relevance maximization is achieved.

The invention discloses a wired sensor networking system and method. According to the wired sensor networking system and method, a sensor carries out electric energy supply and data transmission through two RJ45 connectors, the function of single-line series connection of the sensor is achieved, it is ensured that the sensor is small and exquisite in size and convenient to install and carry, and the sensor can stably reflect the environmental parameters of a machine room in real time, and automatically give out an alarm when the environmental parameters exceed standard values. According to the wired sensor networking system and method, the current running state can be analyzed more accurately according to information obtained through three-dimensional data acquisition, and therefore the targeted energy saving scheme can be found. The wired sensor networking system and method can be effectively applied to the traffic field, the energy field, the safety field, the logistics field, the military field and the environmental protection field, and great convenience, high efficiency, energy saving, safety and environmental friendliness are achieved.

The invention discloses a sensor networking message routing method based on tasks, which belongs to the technical field of sensor networking application, and comprises the following steps: S1, establishing a default routing network, a static routing network and a dynamic routing network; S2, when the data are distributed, the priority of routing addressing being sequentially decreased according to a static routing network, a dynamic routing network and a default routing network; and S3, generating a routing link path, and completing data sending, wherein the default routing network is constructed according to an information intercommunication relationship among all nodes; the static routing network is constructed according to the requirement of the collaborative task and the physical link condition between the collaborative nodes; and the dynamic path is dynamically constructed according to the network link state of the static routing network so as to meet the message routing requirements in various physical link environments, and meanwhile, the message routing relationship between the sensors can be flexibly adjusted according to tasks so as to realize the purpose of efficient message routing forwarding.

Disclosed herein is a programmable sensor networking apparatus. In accordance with an embodiment, the sensor networking apparatus includes a gateway for receiving application service information from an application, generating information to be processed by each sensor node based on the received application service information, and transmitting the generated information to each sensor node, and one or more sensor nodes for receiving the information to be processed from the gateway, and processing the received information.

The invention relates to a magnetic saturation state feedback type fluxgate sensor. The magnetic saturation state feedback type fluxgate sensor comprises a signal ground wire separately connected withan excitation coil, an induction coil and a feedback coil, a crystal oscillator is connected with the excitation coil through a band-pass filtering circuit and a power amplification circuit, the induction coil is connected with a magnetic saturation state detection circuit through a pre-amplification circuit to form a magnetic core magnetic saturation state detecting circuit, and a feedback fine-tuning resistor is connected with the feedback coil through a feedback precision resistor to form a magnetic saturation state feedback circuit. Compared with a harmonic fluxgate sensor, a symmetric structure with strict requirement is avoided, and the manufacturing cost is greatly reduced; the magnetic core saturation state is directly detected by employing a comparison circuit, the detection of harmonic signals is avoided, and the circuit structure is greatly simplified; and compared with a time difference type fluxgate sensor, the noise is only 1 / 20 of that o the time difference type fluxgate sensor. The magnetic saturation state feedback type fluxgate sensor is advantaged by low noise, small size, simple structure and low cost, the magnetic saturation state feedback type fluxgate sensoris more applicable to practical engineering usage, and the application prospect is wide in the field of sensor networking detection.

The invention discloses a sensor wireless deployment device, relates to the technical field of Internet of Things, and aims to solve the problem of installation and maintenance limitation caused by sensor wiring. The sensor wireless deployment device comprises a processor, a wireless module and a power supply. The sensor is in communication connection with the processor through the interface of the wireless deployment device, and the processor is used for receiving data collected by the sensor and transmitting the data collected by the sensor to the server through the wireless module. The power supply is electrically connected with the sensor, the processor and the wireless module and is used for supplying power to the sensor, the processor and the wireless module, so that the number of data lines and power lines in the deployment process of sensor networking is reduced, and the problem of installation and maintenance limitation caused by sensor wiring is solved. The sensor wireless deployment device provided by the invention is used in the deployment process of sensor networking.

A technology for adding speech recognition to Internet of things sensing technology is disclosed. The office environment can be adjusted automatically by the way of sensor networking, and a comfort, Green, healthy work environment intelligent voice monitoring system in office based on internet of things is provided. The system includes speech recognition, speech synthesis and Internet of Things sensor technology. The system includes: a controller, a environmental monitoring module and a pressure monitoring module. The environmental monitoring module and pressure monitoring module are connectedwith the controller through wireless signals.