535results about How to "Easy data collection" patented technology

Systems, methods and devices are provided for detecting airborne particulates and/or gases at remote oil and natural gas sites, such as wells, and/or processing and refinery plants. One such system comprises an unmanned aerial vehicle (UAV), such as a drone aircraft, configured for aerial dispatch to the remote site and wireless connection to an external processor, cloud apparatus or the like. The UAV includes one or more on-board sensors configured to detect airborne particulates or gases, such as methane gas, hydrogen sulfide, hydrocarbons, weather conditions, ground-based elements or compounds or the like. The on-board sensors may comprise light transmitters, such as lasers, configured for transmitting light or laser pulses into the ambient environment around the remote site and detecting backscatter to detect the concentration and/or velocity vector(s) of the airborne particulates or gases. The UAV is further configured to wirelessly transmit data associated with the airborne particulates or gases to the external processor or cloud apparatus in real-time.

A method and system for traffic monitoring and prediction of traffic intensity. The method comprises the steps of: determining at least twice, within a specified time interval, geographical positions of a plurality of mobile devices in a mobile telecommunications network by means of measuring at least one property of signals transmitted between said mobile devices and base stations in said mobile telecommunications network; comparing at least a subset of said geographical positions with a route of a road provided in a route database in order to identify mobile device having routes corresponding to at least a part of said road route; calculating a velocity for said identified mobile devices based on said at least two positions; and comparing said calculated velocity of at least one identified mobile device with a reference velocity of said road in order to predict traffic intensity on said road. According to the invention a system for short range monitoring is also provided.

Disclosed are methods, systems, and non-transitory, machine-readable media that facilitate personalized home automation control based at least in part on individualized protocol. First sensor data may be received, and may be indicative of an identified individual that is sensed by a set of sensors. A particularized pattern of activity of individual may be determined. Second sensor data may be indicative of an unidentified individual. Identification rules specified by a stored protocol record may include criteria for identifying sensed individuals. The second sensor data and/or identification information from another data source may be analyzed to identify the unidentified individual. A home automation rule may be determined based on the particularized pattern, which rule may include an anticipation of an operational setting of a home automation device. The home automation device may be instructed based on the determined home automation rule.

Real-time and individualized disease monitoring is central to rapidly evolving medical sciences and technologies, but for the vast majority of patients, disease progression and treatment are monitored only in an irregular and discontinuous fashion. Consequently, disease progression and relapse are often allowed to proceed too far before they are detected, compromising the possibility of any effective treatment. For one patient, this can mean becoming refractory to the few early drug treatments that are available; for another, missing early detection may be deadly. This invention provides a method for the detection of early signals of disease and recovery thereof comprising a universal yet personalized health-monitoring solution using cell phones or other wearable smart device data that generate extensive real-time data. The invention further provides a system and method to provide answers to a variety of questions related to the patient health status and health trajectory. Its flexibility and generality is designed for a preferred application to rare disorders and rare questions for which other analytical system are lacking.

The invention discloses a third-party data service system based on Internet-of-Things data collecting. The third-party data service system comprises a data collecting cloud service module, a Web portal management module, a Web Service remote calling assembly module, a mobile application module and a data center management module. The data collecting cloud service module comprises a thread pool dispatching management module, a load optimization management module, a network management module, a data communication management module, a data storage module and an alarm module. The Web portal management module comprises a user and authority management module, an equipment management module, a monitoring point management module, a real-time monitoring module, a visual customization module, a spare part management module, an after-sale maintenance management module, a repair management module, a remote operation management module and a remote diagnosis module. The mobile application module comprises a real-time inquiry module, an alarm inquiry module, a repair registration module, a user feedback module, a maintenance inquiry module and a real-time warning module.

The disclosed apparatus, systems and methods relate to tracking abdominal orientation and activity for purposes of preventing or treating conditions of pregnancy or other types of medical conditions. In certain specific embodiments, the system, device, or method relates to identifying abdominal orientation risk values, calculating and updating a cumulative risk value, comparing the cumulative risk value to a threshold, and outputting a warning when the cumulative risk value crosses the threshold.

A system, method, and apparatus is provided for calculating a risk of falls from pressure measurements. Pressure data may be measured by a pressure sensor matrix, such as a pressure mat. Multiple snapshots of pressure data may be generated, each with a plurality of pressure points corresponding to coordinates in the pressure sensor matrix. Pressure-based metrics, including center of mass and center of pressure, may be derived from the pressure measurements. The plurality of centers of pressure and other pressure-related parameters may be used to generate a statistical model that predicts the risk of falls.

The invention facilitates improved configuration of computer network data collection. In one respect, the invention is a method for determining a network data collection configuration for an entity utilizing a computer network. The method determines which nodes in the network are associated with the entity, reads a view definition associated with the entity and determines which network variables are components of the health score, selects from the nodes associated with the entity those nodes that are components of the view, and produces a configuration file that specifies the network variables for each corresponding selected node. The data collection preferably utilizes the SNMP protocol. The determining step preferably queries a database that stores entity-node associations. The view definition is preferably an XML file and refers to all nodes of a particular device type, so that the selecting step can filter network nodes by device type. In a preferred form, the network is the Internet, the method is performed by an Internet service provider, and the entity is a customer of the Internet service provider. Optionally, the method reads and utilizes a template for the configuration file. In another respect, the invention is an apparatus. The apparatus comprises a first database that stores entity-node associations, a view definition associated with an entity, a second database that stores node device type information, and a network data collection configuration generation tool, connected to the above. The network data collection configuration generation tool generates a network data collection configuration file customized to the view definition.

A distributed historian framework is provided where historical data is collected in accordance with an organizational model of a hierarchical system that is distributed across various elements of an enterprise. A directory service operates with the organizational model to enable configuration of historian components within the organization and to enable data to be located within the organization. In one aspect, an industrial automation system is provided. The system includes at least one historian component to archive data within an organization. A common data model then exposes functionality and data of the organization to the historian component.

A system for communicating information, particular for use in a hydrocarbon well, is described including one or more releasable vessels having radio frequency (RF) circuitry responsive, when in use, to an RF reader system, the vessel including counteracting means to reduce the effect of destabilizing flow forces thereby extending the coupling time with the reader system.

A wireless ECG sensor system includes a sensor patch configured to attach to a user. The sensor patch may include a substrate having a positive and a negative electrode, and a passive radio-frequency identification (RFID) transponder carried by the substrate. The RFID may include a first antenna, a non-transitory and non-volatile storage medium in, electrical communication with the first antenna, a load modulation switch in electrical communication with the first antenna, and a microcontroller in electrical communication with the first antenna and in data communication with both the storage medium and the load modulation switch. The system may also include an interrogator device having a second antenna configured to wirelessly transmit electromagnetic radiation having a resonant frequency of the first antenna of the sensor patch, and a demodulator configured to measure a voltage amplitude of the electromagnetic radiation wirelessly transmitted by the second antenna.

The invention discloses a combustible gas explosion experiment system, which comprises a tubular explosion test cylinder. The explosion test cylinder is transversely arranged on a bracket; a front end opening and a rear end opening of the explosion test cylinder are respectively provided with an explosion-proof film with a sealed opening. The explosion test cylinder is connected with a gas supply device which injects normal-temperature and normal-pressure combustible gas into an inner cavity of the cylinder. A pressure sensor for sensing the pressure in the cylinder, a monitor for monitoring the concentration of the combustible gas in the cylinder and an igniter for igniting the gas in the cylinder are arranged on the explosion test cylinder, wherein the pressure sensor is connected with a display module for displaying a pressure value in the cylinder. The combustible gas explosion experiment system has the advantages of simple operation, low cost, and capacity of playing back flame condition of instantaneous explosion and sound of the explosion.

The present invention contemplates an educational system of improved data collection and management and for providing automated, individually customized, real-time recommendations, comprising: creating a student profile; inputting data relating to a student; inputting data relating to students biographical information; entering data relating to the subjects taken by a student; entering learning objectives for each subject; entering data relating to learning objectives for a subject; entering the importance of each learning objective; entering the correlation between objectives in different courses; entering data relating the students performance in learning objectives; creating a solution profile; inputting data relating to solutions into a solution profile; entering data relating to the learning objectives met by a solution; entering data relating to how effective the solution is at meeting a given learning objective; assigning a score to each learning objective based on the student data and solution effectiveness; calculating the effectiveness of a solution; sorting solutions based on effectiveness for the student; filtering solutions based on non-academic data; and displaying the solutions.

The invention provides a data collection system based on a Zookeeper cluster. The system comprises a message queue establishing unit and the Zookeeper cluster. The message queue establishing unit is used for establishing different message queues according to different data sources. The Zookeeper cluster is used for monitoring the states of a plurality of collectors, and enabling any message datum in the message queues to be collected by only one collector, wherein each message queue corresponds to a persistence node of the Zookeeper cluster. Each collector obtains message data under the coordination of the Zookeeper cluster, and corresponds to the temporary node of the persistence node. Correspondingly, the invention further provides a data collection method based on the Zookeeper cluster. According to the technical scheme, different collection modules can be arranged according to different data sources, different storage strategies are set according to different storage requirements, and diversity of data collection and storage is achieved.

Systems, methods, and computer-readable media are provided for performing actions in response to gestures made by a user in captured images. In accordance with one implementation, a computer-implemented system is provided that includes an image capture device that captures at least one image, a memory device that stores instructions, and at least one processor that executes the instructions stored in the memory device. In some implementations, the processor receives, from the image capture device, at least one image including a gesture made by a user and analyzes the at least one image to identify the gesture made by the user. In some implementations, the processor also determines, based on the identified gesture, one or more actions to perform on the at least one image.

The present invention provides a CNN-based sound source positioning algorithm. A method comprises the steps of introducing the characteristics for identifying a cross-correlation function, utilizing an Roomsim simulation environment and the signals received by two microphones to obtain the cross-correlation function with the reverberation and under a noisy environment, and intercepting frame by frame to obtain a training set and a test set, training the characteristics to obtain a CNN, namely a CNN model, during the training process, adopting an ReLU function as an activation function, carrying out the sound source positioning estimation on the test set under the model, and finally adopting a Bayesian decision to construct a determination formula to decide the types of the test samples, sothat a position where the conditional probability p(rs|Y) is maximum is the real position where a sound source is estimated. By the realization of the algorithm, the noise and reverberation problemsin the conventional sound source positioning are solved effectively.

The invention belongs to the field of remote control and artificial intelligence and relates to an intelligent adjuvant therapy robot device for performing real-time social capability training for autism children. The device comprises a head movement driver (1), an arm movement driver (2), a device loader (3), a driving-driven wheel type chassis (4) and a casing module (7). A multi-joint combined driving mode is adopted, the collaborated driving capability of the robot for every movement joint is improved, the problem that time delay affects the interaction effect is solved, precise posture control of the robot in the random direction is achieved, a limb movement path planning function for automatically avoiding obstacles is achieved, and intelligent emotion interaction between a human and the robot and a safe and reliable family remote rehabilitation therapy model are achieved in various modes such as voice, images, touch and induction in the man-machine interactive process in response to emotion cognitive disorder which occurs universally in child patients.

A master-slave type battery management system for accurate capacity gauge of battery packs is disclosed. It includes several battery management units linked to each other via a communication line. Each battery management unit is linked to a specified rechargeable battery set to manage the specified rechargeable battery set, detect a physical measurement data from the specified rechargeable battery set and calculates battery set capacity related value based on the physical measurement data. Each battery management unit has a unique battery ID. By assigning a battery management unit having a specified battery ID as a master battery management unit, the rest battery management units become slave battery management units. Each slave battery management unit sends the physical measurement data and battery set capacity related value to the master battery management unit via the communication line. The master battery management unit is in charge of calculating related values and transmitting them.

The invention discloses an industrial communication isolation gap with a double-channel ferrying function. The industrial communication isolation gap comprises a safety end processing unit, a non-safety-end processing unit and a ferrying unit. The circuit of the safety end processing unit, that of the non-safety-end processing unit and that of the ferrying unit are all independent of one another and three units are communicated by USBs (Universal Serial Bus); the ferrying unit adopts a double-channel ferrying form; double channels are two independent one-way channels; one channel is a request channel, takes charge of carrying out one-way requesting from a non-safety end to a safety end and is used for configuration requesting and label requesting; the other channel is a data channel, takes charge of carrying out one-way transmission from the safety end to the non-safety end and is used for process data transmission and state data transmission. The isolation gap is used for an industrial control network and an upper layer information network to realize one-way transmission of process data under the condition of physical isolation, can perform functions of no maintenance of a tag and remote configuration, maintenance and management and brings great convenience to normal data acquisition and daily maintenance.