A distributed data acquisition system comprising multiple, physically unconnected, data acquisition units that can be in wireless communication with a remote host, timestamps measurement data with sub-microsecond time base accuracy of sampling clock relative to an absolute timeframe. Each unit has a GPS receiver for deriving an absolute time. An analog-to-digital converter samples measurement data using a sampling clock. A hardware logic circuit, such as a field programmable gate array, associates batches of the measurement data with corresponding timestamps representing the current absolute time. A time offset bias may be compensated by a comparison of timestamps with nominal time based on start time and nominal sampling rate. Additionally, the sampling clock may be synchronized using time pulses from the GPS receiver. An initial start of ADC sampling by all data acquisition units may be also synchronized.

A method uses a distributed data acquisition system with multiple, physically unconnected, data acquisition units, that can be in wireless communication with a remote host, to timestamp measurement data with sub-microsecond time base accuracy of sampling clock relative to an absolute timeframe. A current absolute time is derived from messages received from a satellite radio beacon positioning system (GPS). Measurement data is sampled by each unit at a specified sampling rate. Using hardware logic, batches of sampled data are associated with corresponding timestamps representing the absolute time at which the data was sampled. Data and timestamps may be transmitted to the host. A time offset bias is compensated by comparing timestamps against a nominal time based on start time and nominal sampling rate. The sampling clock rate may be disciplined using time pulses from the GPS receiver. An initial start of data sampling by all units can also be synchronized.

A leader system for time synchronizing includes an interface and a processor. The interface is configured to receive a time standard. The processor is configured to determine whether a time jump is necessary in response to the time standard; and in response to determining that the time jump is necessary: 1) cause overwriting a sensor data buffer; 2) provide an indication to unregister one or more follower devices from a leader device; and 3) time jump a leader device time in response to the time standard.

The present invention provides a method for comprehensive monitoring, analysis and maintenance of water and equipment in swimming pools, said method implemented by one or more processors operatively coupled to a non-transitory computer readable storage device, on which are stored modules of instruction code that when executed cause the one or more processors to perform: —accumulating and monitoring data from elements including at least one of: sensors, actuators, and breakers in and around the vicinity of the swimming pools; —accumulating non-sensory data from a plurality of sources at a local processing unit; —propagating said data to an online remote server, —applying machine learning or rule based algorithms at the online remote server configured to incorporate all the acquired data and obtain an optimal policy for pool maintenance by providing recommendations, control parameters, and —providing an online interface to access said recommendation/control parameters for at least one of: pool owners, pool servicemen, pool maintenance companies, pool vendors and pool retail dealers.

Disclosed are techniques to conserve battery of an endpoint device. Example techniques include adjusting the size of messages transmitted by an endpoint device and/or adjusting the transmission rate of an endpoint device. In some configurations, the one or more criteria are used by an endpoint device to determine what data fields to include within a message and/or adjust a transmission rate associated with the transmission of messages by the endpoint device. For instance, the one or more criteria may include the battery level of the device, the time of year, whether the data has already been transmitted by the endpoint device, whether the data has been acknowledged as received by another device, whether the endpoint device has been instructed by another device to reduce the message size and/or adjust the transmission rate, and the like.

A system of a machine includes a network of nodes distributed throughout the machine. Each of the nodes is operable to communicate through electromagnetic signals. The system also includes a radio frequency transceiver, a first antenna coupled to the radio frequency transceiver, a second antenna coupled to one or more sensor nodes, and a controller coupled to the radio frequency transceiver. The controller is configured to select at least one sensor node to interrogate, transmit one or more interrogation frequencies from the radio frequency transceiver through the first antenna to the second antenna, receive one or more sensor frequencies at the first antenna broadcast from the second antenna based on a frequency response of the at least one sensor node to the one or more interrogation frequencies, and determine one or more sensed values based on the sensor frequencies received at the radio frequency transceiver through the first antenna.

Systems and methods for providing situational awareness of a building to first responders are described. The system includes a server that receives and stores building information, such as a floor plan and other information. The system further includes one or more environmental sensors that sense environmental conditions within the building and uploads that information to the server. A building identification affixed to the building allows a first responder to access the building information and situational awareness information at any time, such as during a situation or an incident, such as an emergency.

Parties having different responsibilities and interests at a monitored location can be given a partial view of the totality of the sensor channels of data generated by the various sensors installed at the monitored location. The partial views deliver customized sets of data streams to customers. The selective distribution of sensor information accommodates the divergent interests and needs of parties responsible for tracking the various characteristics of a monitored location.

Systems, methods, and computer-readable for cognitive sensor fusion management include obtaining one or more data streams from one or more sensors. Learning algorithms are used for determining whether a combination of the one or more data streams includes sufficient information for achieving a desired outcome, based on context, business verticals, or other considerations. One or more modifications are determined to at least the one or more data streams or one or more sensors based on whether the combination of the one or more data streams includes sufficient information for achieving the desired outcome. In a closed-loop system, feedback from implementing the one or more modifications can be used to update the desired outcome.

Systems and methods for threat evaluation and data collection are described herein. An example method may commence with collecting, by a wearable device, sensor data from one or more sensors installed on the wearable device. The wearable device may be worn by a user and be communicatively coupled to a central data portal and one or more external sources. The method may include receiving external sensor data from the one or more external sources. The method may continue with processing the sensor data and the external sensor data to evaluate a user state. The user state may be indicative of at least one physical threat to the user or at least one medical condition of the user. The method may further include transmitting the user state to the central data portal. The central data portal may be configured to process the user state for storage and visualization.