A linear transport system includes a stator having a track and coils provided along the track, carriers with a magnet and movable along the track, scales provided on the carriers, sensors provided along the track at respective intervals and configured to detect the carriers to obtain scale positions of the scales, a parameter memory configured to memorize first cumulative values each corresponding to a corresponding sensor, and position calculation circuitry. Each of the first cumulative values is obtained by accumulating, from a reference position to the corresponding sensor, error correction values based on which errors between the respective intervals and measured values of the respective intervals are corrected. The position calculation circuitry is configured to calculate a position of a detected carrier based on detection data of a detecting sensor that has detected the detected carrier and based on the first cumulative value corresponding to the detecting sensor.

Systems and methods for dynamically controlling chlorinator operations based on chlorine demand may include receiving an operation command associated with a chlorinator for a fluid system with a chlorinator operation management controller (“management controller”). The management controller may determine a remaining runtime for the chlorinator and access measured values for fluid conditions from a plurality of fluid condition sensors for fluid of the fluid system. The management controller may determine a current chlorine demand based on the measured fluid conditions and a predetermined threshold for a chlorine level for the fluid. An operation of the chlorinator between an active state and an inactive state may be caused by the controller based on the current chlorine demand, the remaining runtime, and a configuration of components for the fluid system. Causing the operation of the chlorinator may include managing operations of a legacy control for the chlorinator.

Systems and methods for dynamically controlling chlorinator operations based on chlorine demand may include receiving an operation command associated with a chlorinator for a fluid system with a chlorinator operation management controller (“management controller”). The management controller may determine a remaining runtime for the chlorinator and access measured values for fluid conditions from a plurality of fluid condition sensors for fluid of the fluid system. The management controller may determine a current chlorine demand based on the measured fluid conditions and a predetermined threshold for a chlorine level for the fluid. An operation of the chlorinator between an active state and an inactive state may be caused by the controller based on the current chlorine demand, the remaining runtime, and a configuration of components for the fluid system. Causing the operation of the chlorinator may include managing operations of a legacy control for the chlorinator.

A pole system for racking, storing, germinating, propagating and growing living organisms on a growth tray, the pole system including: a substantially vertical support structure, the support structure including at least one utility system for supporting propagation or growth of a living organism; one or more vertically-spaced interface positions, each for interfacing with a growth tray; and one or more openings in the support structure, corresponding to one or more of the interface positions, for providing services to interfaced growth tray(s) is disclosed. Further, a hydroponic system and method using the pole system are disclosed.

A pole system for racking, storing, germinating, propagating and growing living organisms on a growth tray, the pole system including: a substantially vertical support structure, the support structure including at least one utility system for supporting propagation or growth of a living organism; one or more vertically-spaced interface positions, each for interfacing with a growth tray; and one or more openings in the support structure, corresponding to one or more of the interface positions, for providing services to interfaced growth tray(s) is disclosed. Further, a hydroponic system and method using the pole system are disclosed.

The present disclosure provides a method for controlling the coolant flow of a liquid-cooled power battery, a system, and a vehicle. The method obtains a relationship between a temperature difference within a battery pack and a temperature difference within the coolant, and deduces a target temperature difference within the coolant according to a target temperature difference within the battery pack and the relationship between the temperature difference within the battery pack and the temperature difference within the coolant. The method determines a required flow capacity of the coolant according to the target temperature difference within the coolant, and controls a battery cooling pump to operate according to the required flow capacity of the coolant. The problem of higher energy consumption existing in existing liquid-cooled battery packs for controlling the temperature difference within the battery pack is resolved by the disclosure.

The present disclosure provides a method for controlling the coolant flow of a liquid-cooled power battery, a system, and a vehicle. The method obtains a relationship between a temperature difference within a battery pack and a temperature difference within the coolant, and deduces a target temperature difference within the coolant according to a target temperature difference within the battery pack and the relationship between the temperature difference within the battery pack and the temperature difference within the coolant. The method determines a required flow capacity of the coolant according to the target temperature difference within the coolant, and controls a battery cooling pump to operate according to the required flow capacity of the coolant. The problem of higher energy consumption existing in existing liquid-cooled battery packs for controlling the temperature difference within the battery pack is resolved by the disclosure.

A numerical value controller for a machine tool includes a storage unit storing a machining program for drilling a hole in a workpiece in accordance with relative movement between a tool and workpiece in a depth direction, and a control unit controlling the relative movement between the tool and workpiece based on the machining program and that moves the tool relative to the workpiece in the depth direction from a return point to a hole bottom point. The return point is a position retracted in the depth direction from a workpiece surface where the tool starts to perform drilling. The machining program includes a command for a workpiece height point as a position of the workpiece surface. The control unit moves the tool relative to the workpiece in the depth direction at a relative rate higher than a cutting feed rate from the return point to the height point.

A numerical value controller for a machine tool includes a storage unit storing a machining program for drilling a hole in a workpiece in accordance with relative movement between a tool and workpiece in a depth direction, and a control unit controlling the relative movement between the tool and workpiece based on the machining program and that moves the tool relative to the workpiece in the depth direction from a return point to a hole bottom point. The return point is a position retracted in the depth direction from a workpiece surface where the tool starts to perform drilling. The machining program includes a command for a workpiece height point as a position of the workpiece surface. The control unit moves the tool relative to the workpiece in the depth direction at a relative rate higher than a cutting feed rate from the return point to the height point.

A smart power tool includes: an output shaft, an electric motor, a housing, and an adjustment assembly. The adjustment assembly is used for adjusting a working mode and outputting a mode signal. The working mode includes a drill gear mode and a wood screw mode. In the drill gear mode, a working state of the smart power tool is determined according to a set of current variables and/or a set of feature quantities and a type of a drill bit and, when the smart power tool is in a drill-through state, the electric motor is controlled to stop rotating.