Patent classifications
H04Q2209/10
User configurable remote environmental monitoring system
Devices, systems and method for remotely monitoring temperature and humidity are disclosed. Sensor units are capable of reading temperature experienced by liquid pharmaceuticals. Each of a plurality of sensor units may be placed in a variety of locations and communicate temperature data to one or more controllers. Controllers also monitor ambient temperature and humidity. Collected data is transmitted over a network, and monitored according to user-configurable policies and workflows. Alerts and notifications may be generated according to workflows and user devices receive notifications.
MONITORING SYSTEM DISPLAYING RAW AND TRANSFORMED SENSOR DATA IN AUSER INTERFACE
The presentation of sensor network information can be provided to a user via a customized dashboard web interface. The dashboard web interface can be based on customized transformation and alert functions that can be applied to one or more sensor channels of data produced from sensors at a monitored location. The customized alerts can provide real-time monitoring of targeted conditions at the monitored location.
METHOD FOR MONITORING THE DENSITY AND/OR THE MOVEMENT OF HUMANS
The invention relates to a method (20) for monitoring the density and the movement of humans using a grid (100) of a plurality of luminaires (101a-d), each of the luminaires (101a-d) comprising an acoustic sensor (105), a motion sensor (107), preferably a Doppler sensor, a controller (109) supplied with output signals of said sensors (105, 107), and a wireless interface (111) for a communication between the controller (109) and a gateway (401) for forwarding sensor information signals (130) to a central database (403), wherein, based on the information in the database (403), the density and/or the movement of humans in an area covered by the grid (100) is estimated by generating a time series of sensor values, such as sound pressure, motion speed and/or motion intensity, of each luminaire (101a-d).
SYSTEM AND METHOD FOR DETECTION AND ALERT OF ENERGY RESOURCE OUTAGES
A system for alert of energy resource outages includes: a resource monitor, disposed within radio range of resource meters that each transmit corresponding radio signals indicative of corresponding meter identifiers and current readings, configured to: determine whether the corresponding radio signals are fixed frequency or frequency hopping by scanning frequency channels for a time period and counting hits of desired meter identifiers; decode each of the one or more of the corresponding radio signals of the resource meters according to determined protocol to obtain one or more of the corresponding meter identifiers and current readings; and transmit the one or more of the corresponding meter identifiers and current readings; and a server, configured to: receive the one or more of the corresponding meter identifiers and current readings; employ the corresponding meter identifiers and current readings to detect an outage; and transmit an alert that corresponds to the outage.
INTERNET OF THINGS (IOT) SYSTEM FOR CABLING INFRASTRUCTURE
A system for cabling infrastructure that includes at least one port, at least one shutter, at least one sensor and a gateway is provided. The port is configured to be selectively coupled to a connector. Each shutter is configured to have an open state that allows access to an associated port and a closed state that covers the port. Each sensor is configured to sense the open state and the closed state of an associated shutter and generate shutter state signals that include information relating to a current sensed state of the associated shutter and an identification of a port that is associated with the associated shutter. The gateway is in wireless communication with each sensor to receive the shutter state signals. The gateway is configured to communicate the shutter state signals that indicate a change in a state of an associated shutter to a remote location.
ZONED ROOF MONITORING SYSTEM
A leak in the membrane of a generally horizontal roof support deck includes dividing the membrane into separate zones and locating a sensor to detect moisture underneath the membrane. A unique digital code address is assigned to sensor where inputs of the sensors are connected to a single power and signaling cable system using a daisy chain. The serial bus controller is to interrogate each of the sensor devices using the address to identify zones where moisture is detected. A transmitting antenna is provided at each sensor which is switched on when moisture is detected for detecting of the sensor from above the membrane by a utility locate device to confirm the location of the sensor.
ZONED ROOF MONITORING SYSTEM
A leak in the membrane of a generally horizontal roof support deck includes dividing the membrane into separate zones and locating a sensor to detect moisture underneath the membrane. A movable scanning device carried by a worker has a power supply antenna for supplying power by an electromagnetic wave to the sensor and the worker moves the scanning device to selected ones of the zones. At each selected zone the power supply antenna activates the sensor in the zone and the sensor to emits signals related to the moisture underneath the membrane as detected by the sensor device which are detected and recorded at the mobile scanning device.
METHOD FOR RECONNECTING A SMART ELECTRICITY METER AND SMART ELECTRICITY METER IMPLEMENTING SAID METHOD
A method for connecting a smart electricity meter connected to a data concentrator, referred to as the current data concentrator, in a powerline or radio-frequency communication network for the automated management of metering in the context of an electrical distribution service is described. The smart electricity meter disconnects from the current data concentrator in the case where the latter is posing a problem. It next attaches itself to a neighbouring data concentrator different from the current data concentrator. It then listens to the frames containing an identifier of said current data concentrator. Finally, it disconnects from the neighbouring data concentrator and attaches itself to a data concentrator using the same identifier as the current data concentrator when at least N frames containing the identifier of the current data concentrator are received, with N an integer greater than or equal to 1.
Method for communication between a plurality of wheel units with one another and with a remote monitoring and/or control device
A method for communication of a plurality of wheel units with one another and with a device for remotely monitoring and/or controlling the wheel units, the wheel units measuring a pressure value of a wheel of a motor vehicle as parameter(s). The units are identified beforehand and each wheel unit may identify the other wheel units, the communication taking place in accordance with a communication standard allowing a bidirectional data exchange. A hub wheel unit storing the pressure values measured by each of the wheel units is selected at least temporarily, the other units being peripheral. The hub unit sends a signaling frame in the direction of the peripheral units, received in a peripheral unit through scanning. The pressure values are communicated between the wheel units and a device solely via the hub unit.
Predictive maintenance system using avionics ethernet networks
A predictive maintenance system is disclosed. The system includes a network of analog and digital sensors, each sensor configured for measuring telemetry data associated with temperature levels, voltage levels, current levels, and other analog or digital parameters. The system includes microprocessors for receiving the (digitized) analog and digital telemetry data, tabulating and timestamping the raw telemetry datasets. The microprocessors compress the raw data and reduce its dimensionality by generating principal component sets from the raw data based on scalar parameters corresponding to machine learning algorithms stored to memory, the principal component sets capturing a majority of variances within the raw data. The principal component sets are organized into data packets including identifiers for the relevant algorithms. The data packets are transmitted via real time networks for either onboard storage or ground-based analysis.