The disclosure relates to a life prediction system for a fan of a lamp. The system comprises a fan signal detecting module to detect at least one working parameter of the fan; and a micro control unit to receive the working current signal, the environment temperature signal and the working rotation speed signal of the fan. The detecting module comprises a current detecting unit to detect a working current of the fan and output a working current signal; a temperature detecting unit to detect a working environment temperature of the fan and output an environment temperature signal; and a rotation speed detecting unit to detect and output a working rotation speed signal of the fan. The micro control unit calculates a predicted residual life of the fan based on the received working current signal, the environment temperature signal, the working rotation speed signal, through the life model of the fan.

The disclosure relates to a life prediction system for a fan of a lamp. The system comprises a fan signal detecting module to detect at least one working parameter of the fan; and a micro control unit to receive the working current signal, the environment temperature signal and the working rotation speed signal of the fan. The detecting module comprises a current detecting unit to detect a working current of the fan and output a working current signal; a temperature detecting unit to detect a working environment temperature of the fan and output an environment temperature signal; and a rotation speed detecting unit to detect and output a working rotation speed signal of the fan. The micro control unit calculates a predicted residual life of the fan based on the received working current signal, the environment temperature signal, the working rotation speed signal, through the life model of the fan.

A system and method for robust automatic control of an air-conditioning system in a vehicle includes at least one sensor configured to continuously capture technical driving parameters of the vehicle. The system has a computing unit configured to determine a current air quality from the captured technical driving parameters by way of a suitable algorithm. The system has a control unit configured to control the air-conditioning system in the vehicle, wherein the control of the air-conditioning system includes activating the recirculation circuit of the air-conditioning system and/or activating the fresh-air circuit of the air-conditioning system with reference to the determined air quality.

A system and method for robust automatic control of an air-conditioning system in a vehicle includes at least one sensor configured to continuously capture technical driving parameters of the vehicle. The system has a computing unit configured to determine a current air quality from the captured technical driving parameters by way of a suitable algorithm. The system has a control unit configured to control the air-conditioning system in the vehicle, wherein the control of the air-conditioning system includes activating the recirculation circuit of the air-conditioning system and/or activating the fresh-air circuit of the air-conditioning system with reference to the determined air quality.

Methods and apparatus to control a torque threshold for hands on/off detection are disclosed. An example apparatus includes memory including instructions, and one or more processors to execute the instructions to cause the one or more processors to at least compare a velocity of a rack to at least one of a first velocity threshold or a second velocity threshold, adjust a first torque threshold in response to the velocity of the rack satisfying the first velocity threshold, adjust a second torque threshold in response to the velocity of the rack satisfying the second velocity threshold, compare a torque between the rack and a steering shaft to the first torque threshold and the second torque threshold, and detect a hands off condition in response to the torque between the rack and the steering shaft not satisfying the first torque threshold or the second torque threshold.

Methods and apparatus to control a torque threshold for hands on/off detection are disclosed. An example apparatus includes memory including instructions, and one or more processors to execute the instructions to cause the one or more processors to at least compare a velocity of a rack to at least one of a first velocity threshold or a second velocity threshold, adjust a first torque threshold in response to the velocity of the rack satisfying the first velocity threshold, adjust a second torque threshold in response to the velocity of the rack satisfying the second velocity threshold, compare a torque between the rack and a steering shaft to the first torque threshold and the second torque threshold, and detect a hands off condition in response to the torque between the rack and the steering shaft not satisfying the first torque threshold or the second torque threshold.

Systems and methods of detecting when an automatic swimming pool cleaner (APC) has contacted a main drain cover or other object protruding from a surface of a swimming pool are described. An APC may include equipment for detecting a change in its pitch or yaw (or both its pitch and yaw). Changes in pitch and yaw may be determined as a function of time, identifying encounters of the APC with certain protruding objects.

Systems and methods of detecting when an automatic swimming pool cleaner (APC) has contacted a main drain cover or other object protruding from a surface of a swimming pool are described. An APC may include equipment for detecting a change in its pitch or yaw (or both its pitch and yaw). Changes in pitch and yaw may be determined as a function of time, identifying encounters of the APC with certain protruding objects.

An encoder device for determining a kinematic value of the movement of a first object relative to a second object is provided, wherein the encoder device comprises a standard associated with the first object and at least one scanning unit associated with the second object for producing at least one scanning signal by detection of the standard and a control and evaluation unit that is configured to determine the kinematic value from the scanning signal. The control and evaluation unit is here further configured to determine the kinematic value by an evaluation of the scanning signal using a method of machine learning, with the evaluation being trained with a plurality of scanning signals and associated kinematic values.

An encoder device for determining a kinematic value of the movement of a first object relative to a second object is provided, wherein the encoder device comprises a standard associated with the first object and at least one scanning unit associated with the second object for producing at least one scanning signal by detection of the standard and a control and evaluation unit that is configured to determine the kinematic value from the scanning signal. The control and evaluation unit is here further configured to determine the kinematic value by an evaluation of the scanning signal using a method of machine learning, with the evaluation being trained with a plurality of scanning signals and associated kinematic values.