A display device for vehicle capable of reducing visual recognition burden on a driver and shortening watching time is provided. The display device for vehicle includes a liquid crystal display including a first area, a second area and a third area as display areas, and a CPU configured to switch the liquid crystal display between a normal display mode and a simple display mode. The CPU is configured to, in the normal display mode, make the first area, the second area and the third area to display vehicle information, and in the simple display mode, put the first area and the second area in a non-displayed state and make only the third area to display in digital indication at least speed information among the vehicle information.

A display device for vehicle capable of reducing visual recognition burden on a driver and shortening watching time is provided. The display device for vehicle includes a liquid crystal display including a first area, a second area and a third area as display areas, and a CPU configured to switch the liquid crystal display between a normal display mode and a simple display mode. The CPU is configured to, in the normal display mode, make the first area, the second area and the third area to display vehicle information, and in the simple display mode, put the first area and the second area in a non-displayed state and make only the third area to display in digital indication at least speed information among the vehicle information.

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 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.

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.

The present invention relates to a method for evaluating power distribution networks, the method comprising frequently sampling an electric parameter value representing the electric parameter value of one phase of a feeder from a power distribution station, detecting the sampled electric parameter value passing a first threshold value in a first direction, detecting the sampled electric parameter value passing a second threshold value in a second direction, being substantially opposite to the first direction, determining an event time period as the time period between the two detections of the electric parameter value passing the first and the second threshold value, calculating a ratio between the determined event time period and a circuit action time period, determining an event score based on the calculated ratio between the determined event time period and the predetermined circuit action time period, accumulating event scores over a reliability check time period, and indicating the reliability of the phase based on accumulated event scores.

The present invention relates to a method for evaluating power distribution networks, the method comprising frequently sampling an electric parameter value representing the electric parameter value of one phase of a feeder from a power distribution station, detecting the sampled electric parameter value passing a first threshold value in a first direction, detecting the sampled electric parameter value passing a second threshold value in a second direction, being substantially opposite to the first direction, determining an event time period as the time period between the two detections of the electric parameter value passing the first and the second threshold value, calculating a ratio between the determined event time period and a circuit action time period, determining an event score based on the calculated ratio between the determined event time period and the predetermined circuit action time period, accumulating event scores over a reliability check time period, and indicating the reliability of the phase based on accumulated event scores.

A physiological monitor gauge panel defines parameters to display on a physiological monitor via corresponding gauges. Gauge faces depict a range of parameter values for each of the parameters. An indicator designates a position on each gauge face corresponding to the current parameter value within the range of parameter values. The indicated position on each of the gauges is at the mid-point of each of the gauge faces when each of the parameters is at a nominal value.

A physiological monitor gauge panel defines parameters to display on a physiological monitor via corresponding gauges. Gauge faces depict a range of parameter values for each of the parameters. An indicator designates a position on each gauge face corresponding to the current parameter value within the range of parameter values. The indicated position on each of the gauges is at the mid-point of each of the gauge faces when each of the parameters is at a nominal value.