A method and an Internet of Things system for smart gas adaptive pressure regulation based on a calorific value of gas are provided. The method comprises: acquiring calorific value of gas data, wherein the calorific value of gas data is acquired on the basis of a pressure regulation station; acquiring a first pressure regulation parameter of the pressure regulation station, wherein the first pressure regulation parameter is used for reflecting current pressure regulation data of the pressure regulation station; determining whether the calorific value of gas data meets a first preset condition; in response to the calorific value of gas data not meeting the first preset condition, adjusting the first pressure regulation parameter; and determining a second voltage regulation parameter of the pressure regulation station on the basis of the adjusted first voltage regulation parameter, wherein the second voltage regulation parameter is updated pressure regulation data.

A method for operating, a pneumatically driven system for handling workpieces, comprising a plurality of pneumatic units that can be pneumatically operated or are used for pneumatic control, which have connections to pressure hoses and/or which are in fluid communication with each other by the use of pressure hoses, and comprising at least one control unit for driving at least one of the pneumatic units by the use of electrical signals and/or for receiving and evaluating electrical signals from at least one of the pneumatic units. The electrical signals are here transmitted between the control unit and at least one pneumatic unit via the pressure hoses, wherein an electric voltage is applied between at least two different pressure hoses that connect the control unit and the respective pneumatic unit.

A fluid metering unit has a housing providing a flow path from an inlet port through a first solenoid valve and a second solenoid valve to an outlet port. An electric circuit board for operating the solenoid valves is contained within the housing. Also contained within the housing and connected to the electric circuit board are a temperature sensor and a pressure sensor for sensing temperature and pressure in the flow path. An electric-operated temperature control element in thermally conductive contact with the housing controls temperature along at least a portion of the flow path.

A display for displaying the condition of an air mattress. The display comprises a plurality of arrays of elements organized in a hierarchy. Each element represents a pressure increment. Each array comprises a plurality of rows and a plurality columns. The elements in each row of an array being distinctive in appearance from the elements in the other rows of the array. A control that operates the elements to indicate the pressure beginning with the first column, of the first row, of the lowest array in the hierarchy.

A system for regulating an environment of an alcoholic beverage includes a container having a body encompassing a sealable chamber for housing the alcoholic beverage and a lid section removably affixable to the body. The system also includes at least one flavoring agent at least partially suspended in the alcoholic beverage. Pressure and temperature sensors are positioned along an interior surface area of the container and are exposed to the sealable chamber. The sensors are configured to determine voltage signals indicative of a pressure. A control apparatus is in communication with the sensors, where control apparatus is operable to receive the voltage signals, receive a setpoint signal indicative of a desired pressure setpoint and/or a desired temperature setpoint, and control a pressure regulation signal and or a temperature regulation signal such that each of pressure voltage signals match a received setpoint signal.

The invention relates to a method for controlling pressure in a fluidic system, the method comprising: providing: a plurality of measurements from a pressure sensor, and) a pressure setpoint, computing a predictive model using at least a part of the measurements; computing a deviation between a value of one of the plurality of measurements and a value of the setpoint; the deviation being further based on the predictive model; computing a gain being based on the value of the setpoint and/or on the value of the one of the plurality of measurements; computing a first correction factor based on the computed deviation and the computed gain; computing a second correction factor based on the computed deviation, the computed gain and a previous value of the second correction factor; computing an actuator command based on the first correction factor and the second correction factor; and applying the computed actuator command to the fluidic system via one or more actuators configured to modify a value of the pressure.