97 results about "Sensor cluster" patented technology

An environmental sensor system comprises a plurality of sensor clusters. The sensor coupler of each sensor cluster obtains measurements parameters from the sensors, performs processing on the measurements to obtain at least one result, and forwards information from the measurements to the calibrator coordinator. The calibrator coordinator performs processing on the information received from all of the sensor clusters to obtain at least one result, and feeds back the result to the sensor clusters which then assess sensor reliability and accuracy. The first and second results indicate expected parameter values, and each sensor coupler decides whether, and how, to incorporate the measurements of sensors into the first processing based on the expected values. The sensor coupler may calibrate, decommission or replace sensors determined to be unreliable based on the expected values.

A vehicle control system includes a housed sensor cluster generating a plurality of signals. An integrated controller includes a sensor signal compensation unit and a kinematics unit, wherein the sensor signal compensation unit receives at least one of the plurality of signals and compensates for an offset within the signal and generates a compensated signal as a function thereof. The integrated controller further generates a kinematics signal including a sensor frame with respect to an intermediate axis system as a function of the compensated signal and generates a vehicle frame signal as a function of the kinematics signal. A dynamic system controller receives the vehicle frame signal and generates a dynamic control signal in response thereto. A safety device controller receives the dynamic control signal and further generates a safety device signal in response thereto.

A vehicle control system includes a housed sensor cluster generating a plurality of signals. An integrated controller includes a sensor signal compensation unit and a kinematics unit, wherein the sensor signal compensation unit receives at least one of the plurality of signals and compensates for an offset within the signal and generates a compensated signal as a function thereof. The integrated controller further generates a kinematics signal including a sensor frame with respect to an intermediate axis system as a function of the compensated signal and generates a vehicle frame signal as a function of the kinematics signal. A dynamic system controller receives the vehicle frame signal and generates a dynamic control signal in response thereto. A safety device controller receives the dynamic control signal and further generates a safety device signal in response thereto.

A vehicle stability control system comprises a 5-sensor cluster and a stability controller configured to communicate with the 5-sensor cluster and receive signals corresponding to a lateral acceleration, a longitudinal acceleration, a yaw rate, a roll rate, and a pitch rate from the 5-sensor cluster. The stability controller can also be configured to determine a braking amount or a throttle amount to maintain vehicle stability. The system also comprises a brake controller configured to communicate with the stability controller and receive a braking request from the stability controller, and a throttle controller configured to communicate with the stability controller and receive a throttle request from the stability controller. The system may also comprise a braking or throttling command computed based on various scenarios detected by measured and calculated signals.

An integrated sensing system for an automotive vehicle includes a plurality of sensors sensing the dynamic conditions of the vehicle. The sensors include a sensor cluster, a steering angle sensor, wheel speed sensors, any other sensors required by subsystem controls. The outputs from the sensing system are used to drive various vehicle control systems and to warn the drivers for certain abnormal operating conditions. The vehicle controls coupled with the integrated sensing system controller achieve control objectives including: fuel economy, chassis controls, traction controls, active safety, active ride comfort, active handling, and passive safety.

Embodiments of the invention employ a distributed algorithm to enable sensor nodes in a sensor network to adaptively self-configure into sensor clusters to provide a desired higher-level functionality.

A sensor enhanced communication device (200) is provided with a wake mode, a standby mode and sleep mode. The sleep mode is a periodic occurrence within the standby mode which places a cluster of sensors and transducers (202) into a state of arousal in which the sensitivity of the transducers and sensors is increased while the sampling rate is decreased. Incremental learning can occur during the sleep mode as well as basic memory transfers. Since the cluster does not have to re-acquire information upon entering wake mode, the overall power efficiency is improved.

Methods and apparatus for smart construction with automated detection of adverse structure conditions and remediation. A sensor cluster may be inserted into the walls of a smart structure (during construction or afterwards) to detect an array of conditions, such as temperature, humidity, and the presence of undesirable insects (which may be accomplished through, for example, vibration sensors). The sensor cluster may also have a remedial action device capable of resolving any undesirable conditions. For example, upon detection of wood-destroying organisms via vibration sensors, the remedial action device may deploy ultraviolet light or insecticide to automatically exterminate the wood-destroying organisms. In some embodiments, data from the sensor cluster may be displayed on a graphical user interface.

A vehicle control system includes a sensor cluster within a housing generating a plurality of signals including a roll rate signal, a pitch rate signal, a yaw rate signal, a longitudinal acceleration signal, a lateral acceleration signal, and a vertical acceleration signal. An integrated controller includes a reference signal generator generating a reference lateral velocity signal as a function of a kinematics road constraint condition, a dynamic road constraint condition, and singularity removal logic, all of which are responsive to sensor cluster signals. A dynamic system controller receives the reference lateral velocity signal and generates a dynamic control signal in response thereto. A vehicle safety system controller receives the dynamic control signal and further generates a vehicle safety device activation signal in response thereto.

The invention discloses an intelligent household system. The intelligent household system comprises a cloud server, an intelligent gateway router, and an electric device. The electric device is provided with a wireless communication unit, and is connected with the cloud server through the wireless communication unit and the intelligent gateway router. The electric device comprises a personal computer, a cellphone, a tablet computer, a house monitor, an intelligent house sensor cluster, a house electric-door and -window control module, a door lock control module, a curtain control module, and home appliances. With the intelligent household system, convenience in maintenance and use can be improved, and cost is reduced.

A system for processing a wafer is provided. The system includes a chemical mechanical planarization (CMP) tool. The CMP tool includes a wafer carrier defined within a housing. A carrier film is affixed to the bottom surface and supports a wafer. A sensor embedded in the wafer carrier. The sensor is configured to induce an eddy current in the wafer to determine a proximity and a thickness of the wafer. A cluster of sensors external to the CMP tool is included. The cluster of sensors is in communication with the sensor embedded in the wafer carrier and substantially eliminates a distance sensitivity. The cluster of sensors provides an initial thickness of the wafer to allow for a calibration to be performed on the sensor embedded in the wafer carrier. The calibration offsets variables causing inaccuracies in the determination of the thickness of the wafer during CMP operation. A method and an apparatus are also provided.

The medical parameters notification system includes a portable device to be worn on the body by at least one adjustable connector. The portable device houses a control assembly for controlling data acquisition from a sensor cluster on the back side of the portable device and wirelessly transmits the data to an emergency response and / or monitoring station. The at least one adjustable connector is configured to insure consistent contact of the sensor cluster with the wearer's skin. A display is disposed on one side of the portable device to show select information and messages. In the event of an emergency, the medical parameters notification system automatically notifies an emergency response and / or monitoring station along with transmission of biometric data. Any false alarms can be cancelled, before transmission, by a selectively operable button on the portable device, which also serves to operate different functions of the system.

System and method for determining a location of a first target. The sensor network comprises a first sensor cluster comprising a first plurality of bearing measuring sensors. A first gateway is operatively coupled to the first plurality of bearing measuring sensors. A second sensor cluster comprises a second plurality of bearing measuring sensors. A second gateway is operatively coupled to the second plurality of bearing measuring sensors. A central command node is operatively coupled to the first and the second gateways. A first limited set of pre-computed numbers representative of information for generating a global target location estimation is transmitted from the first gateway to the central command node. A second limited set of pre-computed numbers representative of information for generating the global target location estimation is transmitted from the second gateway to the central command node. A global target location estimate of the first target is computed by the central command node based on the first and second limited set of pre-computed numbers.

An elastomeric particle (1, 1, 1″) comprises a non-conducting elastomeric body (2) having an electrically conducting surface (4a, 4b, 6). Pressure sensor elements (20, 20′, 20″; 30, 30′, 30″, 30′″) comprising such elastomeric particles are disclosed, as well as sensor clusters (50″, 50′″, 50IV, 50V, 50VI, 50VII, 70) comprising such sensor elements. There is also disclosed a pressure sensor element (40, 40′, 40″, 40′″, 40IV, 40V, 40VI, 40VII), comprising a resistive element (44, 44′, 44″) providing a conduction path, a first electrode (42a, 42a-1, 42a-2, 42a-3, 42a-4, 42a-5, 42a-6), connected to the resistive element, a second electrode (42b, 42b′), which in a quiescent state is spaced from said first electrode, wherein the second electrode, when the pressure sensor element is subjected to a pressure, is arranged to contact said first electrode or said resistive element. Systems comprising such sensor elements and sensor clusters are disclosed, as well as methods of their fabrication.

A vehicle stability control system comprises a 5-sensor cluster and a stability controller configured to communicate with the 5-sensor cluster and receive signals corresponding to a lateral acceleration, a longitudinal acceleration, a yaw rate, a roll rate, and a pitch rate from the 5-sensor cluster. The stability controller can also be configured to determine a braking amount or a throttle amount to maintain vehicle stability. The system also comprises a brake controller configured to communicate with the stability controller and receive a braking request from the stability controller, and a throttle controller configured to communicate with the stability controller and receive a throttle request from the stability controller. The system may also comprise a braking or throttling command computed based on various scenarios detected by measured and calculated signals.

An energy-efficient target tracking method belongs to the technical field of wireless networks and comprises the following steps: firstly, carrying out dynamic sensor clustering on the node to be activated to determine the cluster head node and the cluster member nodes and simultaneously generating observation information; secondly, transmitting the observation information to the cluster head node after the activated node quantizes the observation information; finally carrying out target state forecasting and estimation on the cluster head node according to the quantized observation information to generate the state estimated value of the target at the current moment; and simultaneously optimally determining the bandwidth allocation of each cluster member node and carrying out bandwidth feedback and user query response operation. Data are quantitatively transferred between the dynamic sensor clusters, the cluster members and the cluster head in the network and the optimized bandwidth allocation strategy is adopted, thus further saving the energy for information transfer and improving the tracking precision, lengthening the life cycle of the whole network and giving play to the advantage that the wireless sensor network is used for target tracking to a greater extent.

A method for evaluating performance of a sensor network. The method includes selecting, a sensor distribution pattern for a geographical region and determining a location for a base station. A plurality of sensor clusters are generated, each sensor cluster being formed by one of a first and second grouping mechanism. Further, the method allocates, for each sensor a time-slot within a time-frame to transmit a data packet from the sensor to the base station, and evaluates the performance of the first grouping mechanism and the second grouping mechanism for the selected sensor distribution pattern and base station location, by computing at least a ratio of delivered data packets to the base station to a total energy consumption, and a first delay and a second delay incurred by each data packet.

A control system for an automotive vehicle having a vehicle body includes a sensor cluster having a housing oriented within the vehicle body. A roll rate sensor is positioned within the housing and generates a roll rate sensor signal corresponding to a roll angular motion of the sensor housing. A controller receives the roll rate sensor signal, the controller generates a residue signal in response to a sensor error or a measurement error. The controller sets a fault condition in response to the residue signal larger than a dynamic threshold and a magnitude of the roll rate signal above a fault condition threshold. The controller sets a fault flag in response to the fault condition indicated for a predetermined time during which no double wheel lift occurs.

The invention relates to the technical field of information and communications and provides a networking method and devices of a wireless broadband sensor network. The networking method is characterized in that a sensor gateway, sensor cluster heads and sensor nodes are connected by a WiFi point-to-point technology and jointly form a tree network structure used for sensor network data communication; the sensor gateway is the root node of the tree network structure and serves as an interface for connecting the sensor network and an external network; as the intermediate nodes of the tree network structure, the sensor cluster heads can be divided into a plurality of levels; and the leaf nodes of the tree network structure are the common sensor nodes. By adopting the scheme in the invention, the WiFi sensor nodes can form the large-scale wireless broadband sensor network through the rapid ad hoc network scheme under the condition of not having the pre-deployed and completely covered WiFi network so as to provide real-time sensor network services for various industries under various environmental conditions.

An object tracking system includes a sensor grid having a plurality of sensor clusters configured to sense the presence of a magnetic field of an object. Each sensor cluster includes three or more single-axis magnetic sensors. The sensors in a cluster may be arranged with their axes parallel to one another. The sensor grid may account for ambient magnetic noise by measuring the magnetic field in a zone a distance away from the object to update the ambient magnetic field noise measurement. The sensor grid or a portion thereof may include a plurality of sensors printed on a common sheet. The sensor grid may comprise one or more sheets overlapped or interconnected. The system may track an object and determine up to three degrees of positioning and three degrees of orientation by using a geometric solution of the intercepts of magnetic field strengths obtained from information collected by the magnetic sensors.

In a machine condition monitoring technique, related sensors are grouped together in clusters to improve the performance of state estimation models. To form the clusters, the entire set of sensors is first analyzed using a Gaussian process regression (GPR) to make a prediction of each sensor from the others in the set. A dependency analysis of the GPR then uses thresholds to determine which sensors are related. Related sensors are then placed together in clusters. State estimation models utilizing the clusters of sensors may then be trained.

A method for operating a distributed multi-sensor system for spectrum mapping and signal exploitation. The method includes selecting a plurality of distributed sensors including at least one or more clusters of distributed sensors, sending a request to the plurality of distributed sensors to collect signal snapshot copies, routing the signal snapshot copies or information from the plurality of distributed sensors as inputs to at least one fusion module, processing all inputs before sending any next request to the plurality of distributed sensors, optimizing the one or more clusters of distributed sensors, combining multiple distributed signal inputs in the at least one fusion module, and making a global decision. A system for spectrum mapping and signal exploitation and a storage medium encoded with machine-readable computer code for implementing the method are also disclosed.

The invention discloses a monitoring data early-warning system based on Spark flow-type clustering, and the system employs a method which comprises the steps: collecting environment monitoring data inreal time through a sensor cluster, and transmitting the collected data to a cloud platform through GPRS; Writing the mass data into an HBase database in real time through Spark Stream, achieving a flow-type K-Means clustering method through a Spark machine learning library MLlib, dividing monitoring data into three types in an unsupervised manner: normal environment data, strong feature environment data, weak feature environment data, carrying out the clustering analysis of the collected data through the flow-type K-Means clustering method, and judging whether a prediction result accords with the clustering result or not; starting a client computer buzzer and sending an alarm short message to a cellphone client when abnormality data is found during clustering analysis. The method can achieve the effective storage and reliable transmission of the mass meteorological data, and greatly improves the reasonability and accuracy of the analysis and processing of the meteorological data.

The invention discloses a railway vehicle monitoring method, system and device, a storage medium and a processor. The method comprises the steps of monitoring parameters and / or state of a vehicle through a vehicle-mounted sensor cluster to obtain first monitoring data, and preprocessing the first monitoring data to obtain second monitoring data; and sending the second monitoring data to the vehicle-mounted gateway, the second monitoring data being processed into third monitoring data by the vehicle-mounted gateway, and sending the third monitoring data to a ground management platform by the vehicle-mounted gateway so that the ground management platform is enabled to monitor the parameters and / or the state of the vehicle. The technical problems that in the prior art, the monitoring efficiency of railway vehicles is low, and real-time monitoring cannot be achieved are solved.

A control system for an automotive vehicle having a vehicle body includes a sensor cluster having a housing oriented within the vehicle body. A roll rate sensor is positioned within the housing and generates a roll rate sensor signal corresponding to a roll angular motion of the sensor housing. A controller receives the roll rate sensor signal and generates a reference roll angle. The controller also compares the reference roll angle to the roll rate sensor signal and generates a roll rate sensor fault signal in response a fault determined in said roll rate sensor.

Embodiments herein relate to a method for calibrating a sensor cluster (1) which is located at an inside of a windshield (2) of a motor vehicle (3) and arranged such that the pitch thereof is adjustable. The sensor cluster (1) at least comprises a narrow beam sensor (4) and an imaging sensor (5) both of which are directed forward of the motor vehicle (3). An angle gamma (y) between the center directions (6, 7) of the narrow beam sensor (4) and the imaging sensor (5) of the sensor cluster (1) has been pre-calibrated and stored in at least one memory unit (8, 9). The method comprises the steps of: calibrating at least one of the narrow beam sensor (4) and the imaging sensor (5) of the sensor cluster (1) with respect to a geometrical travel axis (10) of the motor vehicle (3); recording a measure epsilon (µ) corresponding to an angle between a center direction (7) of the imaging sensor (5) and a reference provided by a fixed vehicle (3) structural part (11); and storing the recorded measure epsilon (µ) in the at least one memory unit (8, 9).