A fuel dispenser comprising fuel flow piping defining a flow path from a source of fuel toward a fueling nozzle. The fuel flow piping further has a filter manifold for mounting a fuel filter thereon. A plurality of fuel handling components are disposed along the fuel flow piping. A sensor device is mounted to the filter manifold, the sensor device having at least one sensor operative to detect a sensed condition related to the fuel dispenser. The sensor device further comprises electronics to transmit a signal related to the sensed condition.

In one example in accordance with the present disclosure, a method is described. According to the method, an actual volume of fuel added to at least one fuel tank is determined. It is also determined, an amount of fuel indicated as having been added to the fuel tank from a refueling station. The actual volume added is compared to the amount of fuel indicated as having been added to determine a difference between the two values.

A mobile fuel monitoring system (MMU) is disclosed. The fuel monitoring system may be skid mounted and is configured to monitor fuel transfers between a fuel source and a vessel, such as a ship. The disclosed MMU is a stand-alone, self-contained unit that can be easily moved from place to place. The MMU is configured to monitor and remotely report custody transfers of fuel performed at any location. Parameters of the fuel transfer operation, such as the amount of fuel transferred, the flow rate, the fuel density, and fuel temperature can be monitored and alarms may be issued if any of the parameters are out of specification. The parameter values may be transmitted to a remote location, for example, via a satellite link.

In one aspect, data characterizing a fuel storage facility can be received from a sensor in operable communication with the fuel storage facility. An estimate of meter drift of a flow meter of a fuel dispenser in fluid communication with the fuel storage facility can be determined based on the received data. The estimate of meter drift can be determined based on at least one predictive model that predicts whether a calibration parameter characterizing a calibration of the flow meter has deviated from a predetermined flow meter calibration parameter. The estimate of meter drift can be provided.

In one example in accordance with the present disclosure, a method is described. According to the method, an actual volume of fuel added to at least one fuel tank is determined. It is also determined, an amount of fuel indicated as having been added to the fuel tank from a refueling station. The actual volume added is compared to the amount of fuel indicated as having been added to determine a difference between the two values.

A mobile fuel monitoring system (MMU) is disclosed. The fuel monitoring system may be skid mounted and is configured to monitor fuel transfers between a fuel source and a vessel, such as a ship. The disclosed MMU is a stand-alone, self-contained unit that can be easily moved from place to place. The MMU is configured to monitor and remotely report custody transfers of fuel performed at any location. Parameters of the fuel transfer operation, such as the amount of fuel transferred, the flow rate, the fuel density, and fuel temperature can be monitored and alarms may be issued if any of the parameters are out of specification. The parameter values may be transmitted to a remote location, for example, via a satellite link.

Computer-implemented method to control a dispensing machine configured to deliver fluid products inside a receptacle (118) and comprising a plurality of containing units (111), each containing a respective fluid product, one or more storage zones (128) of the containing units (111) and a dispensing zone (115) wherein it is provided to temporarily and selectively locate at least one sub-assembly of containing units (111) containing the fluid products to be delivered in a dispensing cycle, making use of a computing device (161) comprising at least one processor (164), data storage means (162) with a formulation database, an input device (163), and a display device (159), wherein the control method comprises determining the disposition of the plurality of containing units (111) in the dispensing zone (115) and in the storage zone(s) (128), receiving, via the input device, a target formulation, selected by the user, and identifying, via the processor, from the formulation database an associated plurality of fluid products contained in respective containing units (111) of the sub-assembly, each to be delivered according to a predetermined quantity to obtain said target formulation. The computer-implemented control method also comprises displaying a graphic representation of the layout of the dispensing machine with the dispensing zone (15) and the storage zone(s) (28), which respectively reflects the disposition of the sub-assembly of containing units (111) disposed in the dispensing zone (115) and in the storage zone(s) (128), and graphically highlighting, in the graphic representation, at least the sub-assembly of containing units (11) from which the selected target formulation is to be produced by means of signaling means so as to facilitate their identification by the user and thus provide guidance to the user for displacing of one or more than one containing unit(s) (111) from the storage zone(s) (128) to the dispensing zone (115), or vice versa, if required for the production of the target formulation.

The present invention provides a smart and automated system that is used for refueling of frac truck tanks during fracturing operations. The system is used to refuel the frac truck tanks which are constantly working in the high pressure and high-temperature zone for the fracturing of the wellbore to extract oil and gas. For safety, the system is equipped with explosion/fire free wiring system. The system incorporates inventive fuel valve to avoid the fuel clogging that increases the frac truck performance. The system employs artificial intelligence (AI) and cloud-based software for ease of operation and to maximize economic performance. The system is equipped with artificial intelligence and Programmable Logic Controller (PLC) software and incorporates charge pump and loop systems which maintain a predetermined pressure (in Pounds per Square Inch (PSI) unit) in each loop so as to maximize the performance and control function in the refueling system.

The present application discloses a metering system for calculating a real-time profit or loss of a gas station, including a metering module, a level gauge of the oil tank, and a communication management machine with a built-in data processing module; the metering module and the level gauge are respectively communicated with the communication management machine; the oil tank, an oil pipeline of the oil tank and an oil inlet of the fuel dispenser are respectively provided with a sensor array module for collecting density data of the oil therein; the sensor array module includes a plurality of oil density sensors; the sensor array modules are communicated with the communication management machine; the built-in data processing module receives and processes data from the metering module, the level gauge and the sensor array modules respectively.

A speed of service system includes a ground layer, a sensor positioned within the ground layer, a radio communicatively coupled to the sensor, a sign controller receiving a signal from the wired radio, and a visual display displaying information obtained by the sensor.