Patent classifications
F04D15/0227
DETERMINING AND UTILIZING A DESIRED FREQUENCY FOR A MECHANICAL SHAKER FOR A SUMP PUMP SYSTEM
A sump pump system enables automatic determination and utilization of frequencies for mechanical shakers for sump pumps. These techniques may be implemented to detect a fault (e.g., a stuck impeller) with a sump pump and to identify a desirable frequency at which a mechanical shaker for the sump pump should vibrate to correct the fault.
Determining and utilizing a desired frequency for a mechanical shaker for a sump pump system
A sump pump system enables automatic determination and utilization of frequencies for mechanical shakers for sump pumps. These techniques may be implemented to detect a fault (e.g., a stuck impeller) with a sump pump and to identify a desirable frequency at which a mechanical shaker for the sump pump should vibrate to correct the fault.
Flow control
A pumping system for at least one aquatic application comprises a motor coupled to a pump and a controller in communication with the motor. The controller may be adapted to determine a first motor speed, determine a present flow rate using curves of speed versus flow rate for discrete power consumptions, generate a difference value between the present flow rate and a reference flow rate, and/or drive the motor at a second motor speed based on the difference value until reaching a steady state condition.
System for Detecting Dry Running of a Pump
A system for detecting dry running of a pump includes an inlet device to an intake device of the pump for taking in an electrically conductive liquid, and an electrical resistance structure (20) arranged in the inlet device. The electrical resistance structure has a variable resistance value, dependent on wetting with the electrically conductive liquid.
Adaptive learning system for improving sump pump control
A sump pump system may implement adaptive learning and machine learning techniques to facilitate improved control of sump pumps. A sump pump system may implement the described techniques to generate, train, and/or implement a machine learning model that is capable of predicting or estimating one or more conditions of the sump pump system (e.g., water level in the basin, motor malfunction, stuck impeller, geyser effect, blocked outlet pipe, faulty level sensor/switch, faulty bearing, failure to engage pump at high-water mark, etc.) based on one or more detected input variables (e.g., acceleration or vibration patterns detected in water, on a pump, or on a pipe; capacitance values of water; audio signatures; electrical signatures, such as power or current draw; pump motor rotation speed; water pressure signatures or values, such as those detected at the bottom of a sump basin; etc.).
Detecting and utilizing a rise rate for sump pump system control
A sump pump system detects backflow from an outlet pipe in a sump pump system and implements control of the sump pump in light of the detected backflow (or lack thereof). The sump pump system may detect the backflow (or lack thereof) by detecting and comparing water rise rates in a sump basin before activation or engagement of the sump pump (e.g., immediately before the pump starts pumping) and after the pump has disengaged or deactivated (e.g., immediately after the pump stops pumping). The rises rates may be detected via sensors configured to detect motion or acceleration (e.g., accelerometers, inertial measurement units, or force acceleration sensors) placed in the sump basin such that detect motion of water in the basin corresponding to changing water levels.
Water pump
The invention relates to water pump, in particular a garden pump or a pump of a home water machine, which has a pump unit in a housing (GE), which pump unit can be driven by means of an electric motor and can pump water form a suction line (SL) to a pressure line (DL) as a conveyed liquid, wherein the housing comprises a pump housing (PG) connected to the suction line and a housing extension (GF) having the pressure line, which housing extension adjoins the pump housing, wherein the housing extension has a filter unit (FT) as a termination and an at least partially transparent window (FE) is arranged between the suction line and the pressure line such that a liquid level (FL) within the housing can be read on the pump housing from the outside before operation of the pump, and wherein the filter unit has a suction indicator (SA) such that the presence of suction pressure in the pump housing can be detected via the suction indicator or a leak at the suction line can be detected.
Switching of a pump based on the throughput determined by a thermal flow meter
A feed pump to increase the pressure in a line includes a pumping chamber for a pumping medium. At least one temperature sensor, which is arranged in the feed pump, is allocated to the pumping chamber and is in thermal contact with the pumping chamber for determining a temperature of the pumping medium in the pumping chamber. A temperature control device is allocated to the at least one temperature sensor and by which defined temperature conditions can be created in an area surrounding the at least one temperature sensor. An evaluation device to which the at least one temperature sensor is coupled for signal purposes uses the data from the at least one temperature sensor to determine whether pumping medium is flowing through the pumping chamber or not.
Transfer pump and transfer pump accessory
A transfer pump includes a housing defining an inlet and an outlet. A main pump path and a bypass path disposed between the inlet and the outlet. A motor is in fluid communication with the main pump path and is configured to be energized to move a fluid through the main pump path and the bypass path. The fluid movement being indicative of a non-siphoning condition occurring between the inlet and the outlet. A flow sensor is disposed in fluid communication with the bypass path and being configured to generate a flow rate signal indicative of a flow rate of fluid in the bypass path. A controller in communication with the flow sensor for receiving the flow rate signal and being configured to de-energize the motor when the flow rate signal satisfies a first flow rate threshold indicative of a siphoning condition occurring between the inlet and the outlet.
Adaptive Learning System for Improving Sump Pump Control
A sump pump system may implement adaptive learning and machine learning techniques to facilitate improved control of sump pumps. A sump pump system may implement the described techniques to generate, train, and/or implement a machine learning model that is capable of predicting or estimating one or more conditions of the sump pump system (e.g., water level in the basin, motor malfunction, stuck impeller, geyser effect, blocked outlet pipe, faulty level sensor/switch, faulty bearing, failure to engage pump at high-water mark, etc.) based on one or more detected input variables (e.g., acceleration or vibration patterns detected in water, on a pump, or on a pipe; capacitance values of water; audio signatures; electrical signatures, such as power or current draw; pump motor rotation speed; water pressure signatures or values, such as those detected at the bottom of a sump basin; etc.).