CPC Class H04W

Implementations are directed to remote data aggregation, data management, and data visualization of field data from remote field site locations. Actions can include generating, by one or more sensors, the field data, each sensor of the one or more sensors being responsive to field site activity, transmitting, through a regional network, the field data to a back-end system, processing, by the back-end system, the field data to provide visualization data, transmitting the visualization data to one or more mobile computing devices, and providing a computer-executable application for execution on a mobile computing device, the computer-executable application processing the visualization data to provide data visualizations.

In some aspects, the subject technology relates to an “Eco-mode” on a thermostat. A button or other user interface element may be configured to activate and/or deactivate) the eco-mode on the thermostat. Upon selection of the eco-mode option, various energy-saving programs can be implemented on the thermostat. The energy-saving programs can be configured to adjust a temperature setting of the thermostat or to provide notifications to a user associated with the thermostat that implement various approaches for reducing energy consumption of a heating, ventilation, and air condition (HVAC) system associated with the thermostat. The eco-mode button can provide users/consumers with a convenient way to save energy, without requiring the user to think of comfort tradeoffs that may need to take place.

Systems and method are provided for tracking locations of a driver and vehicle. In one example, a location tracking system pairs a vehicle location device and a driver location device by associating a driver identifier and a timestamp with the driver location device and the vehicle location device, obtains vehicle location data including a set of vehicle location data points, obtains driver location data including a set of driver location data points, correlates the vehicle location data and the driver location data, generates vehicle driver data based on the correlated vehicle location data and driver location data, and identifies a driver of the vehicle at a particular time by using the vehicle driver data and the timestamp.

In one embodiment a first transportation request is received at a backend server from a first device dedicated solely to functions associated with a transportation service, wherein the first device sends the first transportation request in response to a user pressing a button of the first device, wherein direct user input to the first device is limited to one or two buttons. In response to receiving the first transportation request, an account of the user is accessed to identify a geographical location associated with the first device. A driver associated with the transportation service is navigated to pick up the user at the geographical location associated with the first device.

A navigation method includes establishing a communication connection between a first electronic device and a second electronic device. A current position of the first electronic device is obtained. The current position of the first electronic device is sent to the second electronic device. Once a confirmed navigation route is obtained from the second electronic device, navigate according to the confirmed navigation route.

A danger monitoring system is disclosed. A danger monitoring device comprises a microphone configured to continuously digitize environmental sound, a first memory, a first processor configured to determine whether a stored interval meets a threshold criteria for a dangerous event, and a first network interface configured to send a danger observation data to a server. The danger monitoring server comprises a second memory, a second processor configured to verify the dangerous event digitized by the danger monitoring device and determine an event location of the verified dangerous event, and a second network interface configured to send a danger alert. A danger mitigation device comprises a third network interface configured to receive the danger alert, a GPS receiver, a screen, a third memory comprising map data, and a third processor configured to render a map indicating at least a current location of the danger mitigation device, and the event location.