Computer-implemented systems utilizing sensor networks for sensing temperature and motion environmental parameters, and performing at least operations of electronically establishing, based on pattern recognition criteria, correspondence of a plurality of representative features a plurality of characteristics of an occurrence, where a first instance of the occurrence occurred within a first time period of a plurality of time periods; electronically discovering, based on the correspondence, a second instance of the occurrence in an environment during a second time period of the plurality of time periods; and electronically causing, based on the discovery of the second instance of the occurrence, a change in the environment via an electronically-controlled device.

A method and system for capturing and annotating measurement data includes communicatively connecting a mobile computing device to one or more measurement devices, and receiving measurement data from the one or more measurement devices. The mobile computing device stores the received measurement data and annotates the stored measurement data with metadata. The metadata includes group identifying information that associates the stored measurement data with other data having similar group identifying information. In at least one embodiment, measurement data is automatically associated with the group identifying information based on the measurement data being captured within a predetermined amount of time of each other or within a predetermined distance of each other as determined by a positioning system. The metadata may include, for example, one or more of a time, a location, a test point, a work order, a task list, a job instruction, a technician identifier, a text note, a voice note, an image, a video, and an image annotation.

A method and system for capturing and annotating measurement data includes communicatively connecting a mobile computing device to one or more measurement devices, and receiving measurement data from the one or more measurement devices. The mobile computing device stores the received measurement data and annotates the stored measurement data with metadata. The metadata includes group identifying information that associates the stored measurement data with other data having similar group identifying information. In at least one embodiment, measurement data is automatically associated with the group identifying information based on the measurement data being captured within a predetermined amount of time of each other or within a predetermined distance of each other as determined by a positioning system. The metadata may include, for example, one or more of a time, a location, a test point, a work order, a task list, a job instruction, a technician identifier, a text note, a voice note, an image, a video, and an image annotation.

A method is provided for use in a sensor, the method comprising: selecting a switching cycle for the sensor; transitioning the sensor into a state in which at least one component of the sensor is periodically turned on and off in accordance with the switching cycle; sampling an analog signal to generate a sampled signal, the analog signal being generated by at least one sensing element, the analog signal being sampled only during periods in which the at least one component of the sensor is turned on; and generating an output signal based, at least in part, on the sampled signal and outputting the output signal.

A method is provided for use in a sensor, the method comprising: selecting a switching cycle for the sensor; transitioning the sensor into a state in which at least one component of the sensor is periodically turned on and off in accordance with the switching cycle; sampling an analog signal to generate a sampled signal, the analog signal being generated by at least one sensing element, the analog signal being sampled only during periods in which the at least one component of the sensor is turned on; and generating an output signal based, at least in part, on the sampled signal and outputting the output signal.

A method for time alignment of sensor having a plurality of sensors for use in sensor data integration. A reference signal, with timestamp, is provided to each sensor. Output signals in response to the reference signal are identified and used to determine a time delay for response for the sensors. These time delays are stored applying time corrections to sensor data during sensor data integration used in event detection. An associated method of detecting events from sensor data from a plurality of sensors is disclosed. A threshold is determined for each of the sensors, such that a signal exceeding the threshold is identified as a potential sensor event. Potential sensor events from each sensors are detected and when potential events from at least two sensors fall within a predetermined time window this is identified to be a likely actual event.

An apparatus and method for monitoring the productivity of a portable machine are provided. The method includes receiving motion data for at least one component of the portable machine from a multi-axis accelerometer, receiving position data for the at least one component from a process parameter sensor communicatively coupled to the at least one component, and determining, based on the received motion data and the received position data that the at least one component is oriented in a predetermined position for productive operation. The method also includes determining an area of productive operation using at least one physical dimension of the at least one component and the received motion data when the at least one component is oriented in the predetermined position for productive operation and incrementing a total area counter based on the determination.

A method of collecting event data in a wind park installation including a plurality of wind turbines is provided. Each wind turbine includes a satellite-based clock. In each wind turbine, a first time signal is distributed from the satellite-based clock to at least one node in the wind turbine. In the at least one node, events happening in at least one subsystem connected to the node are detected. When an event is detected, event data including an information about the event is collected. For each piece of collected event data, a timestamp is added to the piece of collected event data characterizing a corresponding instant of time when the event was detected. The timestamped event data is stored for later inspection.

A method of collecting event data in a wind park installation including a plurality of wind turbines is provided. Each wind turbine includes a satellite-based clock. In each wind turbine, a first time signal is distributed from the satellite-based clock to at least one node in the wind turbine. In the at least one node, events happening in at least one subsystem connected to the node are detected. When an event is detected, event data including an information about the event is collected. For each piece of collected event data, a timestamp is added to the piece of collected event data characterizing a corresponding instant of time when the event was detected. The timestamped event data is stored for later inspection.

A standpipe (15) for drawing water from a mains water supply. The standpipe includes an inlet 9 having a first coupling (7) configured to enable the standpipe to be connected to a hydrant outlet of the mains water supply and an outlet (5) having a second coupling (23) configured to enable a water delivery hose to be connected to the standpipe. A flow meter (3) measures a volume of water flowing from the inlet to the outlet and a data logger (19) is connected to the flow meter and records the volume of water measured. A global positioning system (GPS) module determines the location of the standpipe (15) when the flow meter 3 detects the water flow and a wireless communication module transmits the recorded volume of water and corresponding GPS location to a central monitoring facility (27).