The present invention relates to a flowmeter for monitoring physical parameters of fluid passing through the flowmeter. The flowmeter being installed in a plant and communicatively connected through a gateway device to a server having a virtual model. The flowmeter comprising: a processing unit for computing a first processed data of a physical parameter associated with the fluid measured by the flowmeter. The flowmeter receives a second processed data from the server having the virtual model, wherein the virtual model provides the second processed data by computing the second processed data based on the first processed data and data from at least one sensor provisioned in the plant. The present invention also provides for a system for monitoring physical parameters of fluid passing through a pipe in a plant with the flowmeter.

The disclosure relates to a dialysis machine that comprises a dialyzer, a fluid source, a first line connected to the fluid source, and a container containing bicarbonate. The container connects to the first line and the fluid flows from the fluid source, through the first line, to the container. The dialysis machine further includes a second line connected to the container, a flow rate sensor connected to at least one of the lines, a pressure sensor configured for detecting fluid pressure of the container, a display, and a data processing apparatus. The data processing apparatus is configured to receive signals from the flow rate sensor and the pressure sensor. The data processing apparatus is configured to calculate a size of the container based on the received signals.

A method for collecting data, preferably in connection with a consumption, a physical or physico-chemical parameter and/or an operating state in a supply network for consumables. A measuring element of a local sensor provides elementary measuring units, which correspond to at least one physical or physico-chemical variable or parameter, as raw measurement data. In order to determine the measurement resolution of the sensor, the conditions for generating time stamps are determined in advance using a correlation model, time stamps of successive raw measurement data are generated in the sensor on the basis of the correlation model, the time stamps are transmitted and the raw measurement data acquired by the measuring element are reconstructed and evaluated on the basis of the time stamps using the correlation model. The temporal offset between a sensor and a receiver is corrected by transmitting telegrams to compensate for the temporal offset.

A method for determining individual fuel consumption characteristics of different generator units of an electricity generating assembly, includes an acquisition of operation data including, for several acquisition times, a measurement of a total fuel flow rate consumed by the generating assembly, and measurements of the respective load rates of the different generator units, and a determination of the individual fuel consumption characteristics of these different generator units, from these acquired operation data.

A method for determining individual fuel consumption characteristics of different generator units of an electricity generating assembly, includes an acquisition of operation data including, for several acquisition times, a measurement of a total fuel flow rate consumed by the generating assembly, and measurements of the respective load rates of the different generator units, and a determination of the individual fuel consumption characteristics of these different generator units, from these acquired operation data.

Disclosed herein are methods and systems for dynamically calculating a total fuel uplift quantity for an aircraft scheduled to fly a flight route. In one aspect, a method comprises: (a) polling a plurality of sources to receive data indicative of: (i) real-time weather conditions in remaining flight sectors in the flight route, and (ii) delay information in the remaining sectors; (b) calculating for the remaining sectors a respective fuel consumption factor; (c) based on (i) respective fuel quotations in the remaining sectors, (ii) the real-time weather conditions, and (iii) the delay information, generating a linear model for calculating a respective fuel uplift quantity at arrival stations in the remaining sectors; (d) calculating using the linear model the respective fuel uplift quantity at the arrival stations; and (e) periodically performing operations (a)-(d) to update a calculation of the respective fuel uplift quantities to account for changing factors.

An expedited preflight readiness system for aircraft includes a power source having one or more battery modules for storing electrical power. An integrated controller is electrically and communicatively coupled with the power source for monitoring and controlling the power source to provide electrical power to aircraft subsystems. A mobile device is communicatively coupled with the integrated controller for communicating instructions to the integrated controller for initiating preflight readiness of the aircraft and for monitoring preflight readiness. A method for preconditioning an aircraft includes determining a state-of-charge of an APU and activating an environmental control subsystem for preconditioning the aircraft by adjusting a current temperature according to a preconditioning profile based on one or more of a target temperature, a target time, the current temperature, an outside air temperature, an amount of energy, and a state-of-charge of the APU.

Methods, systems, and apparatus, including computer programs encoded on a storage device, for identifying one or more water dispensing appliances that are currently using water. In one aspect, the method includes actions of obtaining a dispensing appliance signature, obtaining water consumption data that is based on first sensor data from a first sensor that is installed at the property, identifying a particular water dispensing appliance from among multiple different water dispensing appliances located at the property based on an analysis of (i) the water dispensing appliance signature and (ii) the water consumption data, and responsive to identifying the particular water dispensing appliance located at the property based on an analysis of (i) the water dispensing appliance signature and (ii) the water consumption data, generating output data based on the one or more particular water dispensing appliances that were identified.

Techniques are described for determining an amount of fuel that is consumed by the body components of a vehicle, based at least partly on sensor data describing the operations of the body components and/or the location of the vehicle. A vehicle is equipped with a body that has any suitable number of body components that perform operations not directly associated with the translational movement of the vehicle from one location to another. Fuel is consumed to provide power (e.g., through power take off) to operate the body components. The vehicle includes sensor device(s) configured to sense the operations of the body components and generate sensor data that describes the operations of the body components. The sensor data is analyzed to determine an amount of fuel that is consumed to power the operations of the body components.

The present disclosure describes a system that can enable the prediction of coronary flow without invasive medical procedure. The system can generate physical models that can provide an accurate assessment of coronary mechanics and enable realistic simulation of coronary procedures. The models can enable the hemodynamic measurement of flow through the model and the study of flow dynamics through the model and the biomechanics of the model.