A pool or spa control system includes a sensor system with one or more sensors in contact with a main body of water. The sensor system measures water condition data of the body of water and is mounted on a wall submerged in the main body of water. The pool or spa control system also includes a modem that facilitates data communications between the sensor system and communication equipment positioned at a different location from the main body of water.

The invention relates to a machining tool for machining a workpiece, including a main spindle with a driven shank, a tool holder which can be clamped in the shank, a cutting tool which is arranged on the tool holder, a distance sensor for determining a distance of the shank of the main spindle in relation to a reference point, and a control unit which is configured to perform compensation of the tool path during machining of the workpiece based on an elongation and displacement of the shank and an elongation of the tool holder holding the cutting tool, wherein the elongation and displacement of the shank is determined based on the distance determined using the distance sensor, and wherein the elongation of the tool holder holding the cutting tool is determined based on a rotational speed of the shank.

The present invention prevents the occurrence of variation in the lead of a threaded section of a machined article (19a) resulting from the effects of thermal expansion of the machined article (19a) during machining. A thermal expansion amount that relates to the axial direction of the machined article (19a) during machining is measured by measurement means (13), history information for the thermal expansion amount that relates to the machined article (19a) during machining is obtained from the result of the aforementioned measurement, and a control unit (17a) determines the relative rotational speed of a rotary drive shaft (11) or the feeding speed of an axial feeding device (16a) with respect to the next machined object (19a) that is to be machined on the basis of the history information for the thermal expansion amount of the machined object (19a) that has been machined.

Methods and systems for ascertaining factors contributing to the temperature of a device. A method includes monitoring a plurality of parameters that are contributing to a temperature of the device. The method also includes estimating a degree of contribution of internal factors to the temperature of the device based on the monitored plurality of parameters and a battery temperature of a battery of the device. The method further includes estimating a degree of contribution of external factors to the temperature of the device, based on the monitored plurality of parameters and a battery temperature of a battery of the device. A neural network can be used for estimating the temperature of the ambience of the device and the impacts of internal and external factors on temperature of the device.

A pool or spa control system includes a sensor system with one or more sensors in contact with a main body of water. The sensor system measures water condition data of the body of water and is mounted on a wall submerged in the main body of water. The pool or spa control system also includes a modem that facilitates data communications between the sensor system and communication equipment positioned at a different location from the main body of water.

Methods and systems for ascertaining factors contributing to the temperature of a device. A method includes monitoring a plurality of parameters that are contributing to a temperature of the device. The method also includes estimating a degree of contribution of internal factors to the temperature of the device based on the monitored plurality of parameters and a battery temperature of a battery of the device. The method further includes estimating a degree of contribution of external factors to the temperature of the device, based on the monitored plurality of parameters and a battery temperature of a battery of the device. A neural network can be used for estimating the temperature of the ambience of the device and the impacts of internal and external factors on temperature of the device.

A learning model is constructed for adjusting control information so that a cycle time becomes shorter while also avoiding the occurrence of overheating. A learning model construction device includes: an input data acquisition means that acquires, as input data, control information including a combination of an operation pattern of a spindle and parameters related to machining in a machine tool, and temperature information of the spindle prior to performing the machining based on the control information; a label acquisition means for acquiring temperature information of the spindle after having performed the machining based on the control information as a label; and a learning model construction means for constructing a learning model for temperature information of the spindle after having performed machining based on the control information, by performing supervised learning with a group of the input data and the label as training data.

In at least one embodiment, a method of analyzing and characterizing the thermal growth of a CNC machine is provided. The method may include mounting an artifact having a bore onto a CNC machine and performing a test cycle. The test cycle may include probing the bore of the artifact to determine its location relative to the CNC machine and performing a dry cycle including one or more CNC machining processes. The method may further include calculating a deviation of the bore location from a reference relative location between the bore and CNC machine. The method may be used to improve, troubleshoot, or assess the effectiveness of CNC machine thermal compensation mechanisms. The method may start at ambient temperature and include repeating test cycles until a steady state temperature is reached in the machine.

A learning model is constructed for adjusting control information so that a cycle time becomes shorter while also avoiding the occurrence of overheating. A learning model construction device includes: an input data acquisition means that acquires, as input data, control information including a combination of an operation pattern of a spindle and parameters related to machining in a machine tool, and temperature information of the spindle prior to performing the machining based on the control information; a label acquisition means for acquiring temperature information of the spindle after having performed the machining based on the control information as a label; and a learning model construction means for constructing a learning model for temperature information of the spindle after having performed machining based on the control information, by performing supervised learning with a group of the input data and the label as training data.

A pool or spa control system includes a sensor system with one or more sensors in contact with a main body of water. The sensor system measures water condition data of the body of water and is mounted on a wall submerged in the main body of water. The pool or spa control system also includes a modem that facilitates data communications between the sensor system and communication equipment positioned at a different location from the main body of water.