A flow meter, and related system and method are provided. The flow meter includes a coupler, a support member, an image sensor, a valve, and one or more processors. The coupler is adapted to couple to a drip chamber. The support member is operatively coupled to the coupler. The image sensor has a field of view and is operatively coupled to the support member. The image sensor is positioned to view the drip chamber within the field of view. The one or more processors are operatively coupled to the image sensor to receive image data therefrom and to the actuator to actuate the valve. The one or more processors are configured to estimate a flow of fluid through the drip chamber and to actuate the valve to control the flow of fluid through the drip chamber to achieve a target flow rate.

The disclosed device provides a high-accuracy plunger arrival detection system comprising a low-power magnetometer with high sensitivity and which is capable of sampling low or high intensity magnetic fields. The device processes gathered data from sensors, stores at least some processed data in memory, executes a trending algorithm which compares the magnetic field of the plunger to the ambient magnetic field or a predetermined set of initialization values, and generates an output which is relayed to a well controller. An output signal may be via hard wire, RF, wireless or other known means. In addition, the implementation of two sensing devices mounted in series and in spaced relation to each other, can provide for an actual plunger average velocity. An actual plunger average velocity, as opposed to approximate average velocity, can be used to better optimize well control and improve safety of the overall well production system.

A model formation module (25) is provided for creating a model for controlling a pressure regulating system (7) of a water supply network (5), wherein the water supply network (5) is equipped with one or more pressure sensors of which at least one remote pressure sensor (17a,b) is arranged remotely from the pressure regulating system (7), the model formation module (25) being configured to communicate with the at least one remote pressure sensor (17a,b). The model formation module (25) is configured to create said model without a measured, determined or estimated flow value on the basis of at least one remote pressure value determined by the at least one remote pressure sensor (17a,b) and on the basis of at least one load-dependent variable of the pressure regulating system (7), said model representing at least one pressure control curve for controlling the pressure regulating system (7).

An injector control system for a coiled tubing unit includes a programmable logic controller arranged to receive a signal related to sensed parameters of a coiled tubing injection operation; a traction pressure control hydraulic circuit operable to adjust hydraulic pressure provided to at least one traction cylinder in a coiled tubing injection head; a motor pressure control hydraulic circuit operable to adjust hydraulic pressure provided to at least one motor of the coiled tubing injection head; and at least one of the traction pressure control hydraulic circuit and the motor pressure control hydraulic circuit including a proportional control valve in receipt of a variable electrical signal from the programmable logic controller. The programmable logic controller adjusts the signal delivered to the proportional control valve throughout the coiled tubing injection operation as dictated by the sensed parameters.

Systems and methods for cooling a computer environment are disclosed. In at least one embodiment, one or more neural networks can be used to adjust one or more flow control valves, of a liquid cooling system for a data center, to control a variation in liquid flow rate across the data center.

Disclosed is a method, apparatus and storage medium for controlling drainage of equipment. The method includes: determining that the equipment is in a drain state; detecting whether a floor drain connected to a drain pipe of the equipment is at risk of drainage overflow or a drainage overflow occurs; and when it is detected that the floor drain is at risk of drainage overflow or the drainage overflow occurs, reducing an amount of water discharging from the drain pipe per unit time.

A valve body (4) for a valve assembly (2) is proposed. The valve body (4) comprises a valve seat (96) which can be accessed by means of an opening (86). A plurality of threaded holes is provided around the opening (86). A plurality of first studs (22a-c) is arranged, in portions, in the threaded holes in order to arrange a valve drive. At least one second stud (24) comprises an electronic data carrier (26) for contactless identification of the valve seat (96). A portion of the second stud (24) is arranged in one of the threaded holes.

A method includes obtaining a set of operational parameters of a first electronic pump, a first set of measurements collected by a first electronic pump sensor, and a second set of measurements collected by a second electronic pump sensor of a second electronic pump. The method also includes sending the second set of measurements from the second node to the first node, determining a set of state representations based on the measurement data, and determining whether a flow between the first electronic pump and the second electronic pump is in an anomalous state based on the set of state representations and a library of values. The method also includes changing a pump operation in response to a determination that the flow is in the anomalous state.

A flow meter, and related system and method are provided. The flow meter includes a coupler, a support member, an image sensor, a valve, and one or more processors. The coupler is adapted to couple to a drip chamber. The support member is operatively coupled to the coupler. The image sensor has a field of view and is operatively coupled to the support member. The image sensor is positioned to view the drip chamber within the field of view. The one or more processors are operatively coupled to the image sensor to receive image data therefrom and to the actuator to actuate the valve. The one or more processors are configured to estimate a flow of fluid through the drip chamber and to actuate the valve to control the flow of fluid through the drip chamber to achieve a target flow rate.

An actuator of a process control device continuously monitors actuator force and records high force values at each position point by continuously executing a routine in a processor of the actuator. The routine includes receiving from a position sensor a current position value indicating a position of a valve element in the valve, and from a force sensor a current force value indicating a force applied by the actuator. The routine also includes retrieving, from a memory device coupled to the processor, a previous force value measured at the current position, and comparing the current force values for the current position with the previous force value for the current position. If the current force value for the current position exceeds the previous force value for the current position, the routine replaces the previous force value for the current position with the current force value for the current position in memory.