A heat dissipation control method includes determining a total power consumption of a heat generating component and a heat dissipating component, determining a heat dissipation parameter based on the total power consumption of the heat generating component and the heat dissipating component, and controlling an operating state of the heat dissipating component based on the heat dissipation parameter.

Provided is a thermal displacement correction method using a machine learning method but making it possible to, on a user side, calculate a thermal displacement amount appropriate to a machine tool of the user and correct the thermal displacement. In a machine tool on a target user side, a thermal displacement amount between workpiece and tool corresponding to a temperature at a preset measurement point is calculated based on a parameter defining a relation between the temperature and the thermal displacement amount, and a positioning position for workpiece and tool is corrected in accordance with the calculated thermal displacement amount. On a manufacturer side, operational status information of the machine tool on the target user side is obtained, an operational status identical to the obtained operational status on the target user side is reproduced with a machine tool of a same type as the machine tool on the target user side based on the obtained operational status information, a temperature at a measurement point identical to the measurement point on the machine tool on the target user side and a thermal displacement amount between workpiece and tool are measured during reproduction, and the parameter is calculated by machine learning based on the measured temperature and thermal displacement amount. The parameter in the machine tool on the target user side is updated with the calculated parameter.

A controller includes data collect circuitry configured to collect machining data including a date and a time when at least one machined portion of a workpiece has been machined by a machine tool, temperature circuitry configured to obtain, at predetermined time intervals, temperature data at positions on the machine tool, dimension data input circuitry configured to receive dimension measurement data which includes a dimension of the machined portion after the machined portion has been machined, learning data generate circuitry configured to generate learning data based on the machining data and the dimension measurement data, and machine learning circuitry configured to execute a machine learning based on the temperature data and the learning data to obtain a correction coefficient based on which a displacement caused by a change in a temperature of the machine tool is corrected according to a thermal displacement correction equation.

A method for creating a measurement protocol in a computer, such as the measurement computer of a coordinate-measuring machine or a computer remote therefrom, includes: providing data necessary for creating a measurement protocol generated on the basis of a measurement sequence by the coordinate-measuring machine; providing specification data specifying predefined conditions under which a measurement sequence should be performed and/or specifying predefined conditions under which examination features should be evaluated; checking the data necessary for creating a measurement protocol as to whether the predefined conditions under which the entire measurement sequence should be performed were met and/or as to whether the predefined conditions under which individual examination features to be examined should be evaluated were met; and, creating a measurement protocol in the form of an electronic document, in which compliance and/or non-compliance with the conditions in accordance with the specification data is documented in the measurement protocol.

The present disclosure relates to monitoring a condition of an electric drive in an industrial network. A method comprises obtaining values of input parameters, state parameters, and one or more temperatures associated with one or more components, at a first time instant. The method further comprises estimating values of the state parameters at a second time instant with a first layer of a state space model of the electric drive and the values of input parameters at the first time instant. In addition, the method comprises estimating values of the one or more temperatures at a third time instant with a second layer of the model, the values estimated for the state variables and the values of the temperatures at the first time instant. A condition of the electric drive is determined from the values of the temperatures estimated for the third time instant and one or more predetermined thresholds.

Provided is a thermal displacement correction method using a machine learning method but making it possible to, on a user side, calculate a thermal displacement amount appropriate to a machine tool of the user and correct the thermal displacement. In a machine tool on a target user side, a thermal displacement amount between workpiece and tool corresponding to a temperature at a preset measurement point is calculated based on a parameter defining a relation between the temperature and the thermal displacement amount, and a positioning position for workpiece and tool is corrected in accordance with the calculated thermal displacement amount. On a manufacturer side, operational status information of the machine tool on the target user side is obtained, an operational status identical to the obtained operational status on the target user side is reproduced with a machine tool of a same type as the machine tool on the target user side based on the obtained operational status information, a temperature at a measurement point identical to the measurement point on the machine tool on the target user side and a thermal displacement amount between workpiece and tool are measured during reproduction, and the parameter is calculated by machine learning based on the measured temperature and thermal displacement amount. The parameter in the machine tool on the target user side is updated with the calculated parameter.

A method for creating a measurement protocol in a computer, such as the measurement computer of a coordinate-measuring machine or a computer remote therefrom, includes: providing data necessary for creating a measurement protocol generated on the basis of a measurement sequence by the coordinate-measuring machine; providing specification data specifying predefined conditions under which a measurement sequence should be performed and/or specifying predefined conditions under which examination features should be evaluated; checking the data necessary for creating a measurement protocol as to whether the predefined conditions under which the entire measurement sequence should be performed were met and/or as to whether the predefined conditions under which individual examination features to be examined should be evaluated were met, and; creating a measurement protocol in the form of an electronic document, in which compliance and/or non-compliance with the conditions in accordance with the specification data is documented in the measurement protocol.

A method for creating a measurement protocol in a computer, such as the measurement computer of a coordinate-measuring machine or a computer remote therefrom, includes: providing data necessary for creating a measurement protocol generated on the basis of a measurement sequence by the coordinate-measuring machine; providing specification data specifying predefined conditions under which a measurement sequence should be performed and/or specifying predefined conditions under which examination features should be evaluated; checking the data necessary for creating a measurement protocol as to whether the predefined conditions under which the entire measurement sequence should be performed were met and/or as to whether the predefined conditions under which individual examination features to be examined should be evaluated were met, and; creating a measurement protocol in the form of an electronic document, in which compliance and/or non-compliance with the conditions in accordance with the specification data is documented in the measurement protocol.

A heat dissipation control method includes determining a total power consumption of a heat generating component and a heat dissipating component, determining a heat dissipation parameter based on the total power consumption of the heat generating component and the heat dissipating component, and controlling an operating state of the heat dissipating component based on the heat dissipation parameter.

The present disclosure relates to monitoring a condition of an electric drive in an industrial network. A method comprises obtaining values of input parameters, state parameters, and one or more temperatures associated with one or more components, at a first time instant. The method further comprises estimating values of the state parameters at a second time instant with a first layer of a state space model of the electric drive and the values of input parameters at the first time instant. In addition, the method comprises estimating values of the one or more temperatures at a third time instant with a second layer of the model, the values estimated for the state variables and the values of the temperatures at the first time instant. A condition of the electric drive is determined from the values of the temperatures estimated for the third time instant and one or more predetermined thresholds.