Abstract: A drive thru order facilitation system includes a network, having a server; a computing device; and a database; a sensor to scan an identifying feature of a vehicle; an order history platform accessible from the computing device, the order history platform having a new customer creation portal; and an existing customer profile development portal; the order history platform provides access to customer profiles; and the order history platform collects data relating to order history; the sensor is to communicate with the computing device; and the computing device is to correlate the identifying feature of the vehicle with one of the customer profiles.

Abstract: Techniques are disclosed for presenting users with relevant data and statistics related to the operations of an industrial system. Data obtained by a SCADA system may be stored in a real-time status database (which reflects the current process data of the industrial system) and a historian database (which archives the process data from the industrial system as it changes over time). A user may request from the SCADA system process data obtained during a specified period of time. The request may be subdivided into a plurality of time intervals, and process data associated with each time interval may be analyzed to determine one or more salient values that are representative of the interval. The salient values associated with each time interval then may be transmitted to the user in response to the process data request.

Abstract: Techniques are disclosed for presenting users with relevant data and statistics related to the operations of an industrial system. Data obtained by a SCADA system may be stored in a real-time status database (which reflects the current process data of the industrial system) and a historian database (which archives the process data from the industrial system as it changes over time). A user may request from the SCADA system process data obtained during a specified period of time. The request may be subdivided into a plurality of time intervals, and process data associated with each time interval may be analyzed to determine one or more salient values that are representative of the interval. The salient values associated with each time interval then may be transmitted to the user in response to the process data request.