A method of calibrating a virtual force sensor of a robot manipulator, wherein in a plurality of poses, the method comprises: applying an external wrench to the robot manipulator ascertaining an estimate of the external wrench, ascertaining a respective cost function based on a difference between the determined estimate of the external wrench and a specified external wrench, ascertaining a respective calibration function by minimizing the respective cost function, and storing the respective calibration function in a data set of all calibration functions with assignment of the respective calibration function to a respective pose for which the respective calibration function was ascertained.

Systems and methods for data collection for an industrial heating process are disclosed. The system according to one embodiment can include a plurality of data collectors, including a swarm of self-organized data collector members, wherein the swarm of self-organized data collector members organize to enhance data collection based on at least one of capabilities and conditions of the data collector members of the swarm, and wherein the plurality of data collectors is coupled to a plurality of input channels for acquiring collected data relating to the industrial heating process, and a data acquisition and analysis circuit for receiving the collected data via the plurality of input channels and structured to analyze the received collected data using a neural network to monitor a plurality of conditions relating to the industrial heating process.

Provided is a configuration for generating pseudo sensor data from a plurality of pieces of existing sensor data. This information processing device which generates time-series learning data on the basis of time-series original data acquired from a robot device comprises: a memory that stores at least one extended data generation rule comprising at least one velocity change value, at least one phase change value, at least one position change value, or at least one magnitude change value; and a processor that generates time-series extended data by data expansion of the original data using at least one change value of the extended data generation rule, and outputs time-series learning data including the time-series extended data and the time-series original data.

Systems for self-organizing data collection and storage in a refining environment are disclosed. An example system may include a swarm of mobile data collectors structured to interpret a plurality of sensor inputs from sensors in the refining environment, wherein the plurality of sensor inputs is configured to sense at least one of: an operational mode, a fault mode, a maintenance mode, or a health status of a plurality of refining system components disposed in the refining environment, and wherein the plurality of refining system components is structured to contribute, in part, to refining of a product. The self-organizing system organizes a swarm of mobile data collectors to collect data from the system components, and at least one of a storage operation of the data, a data collection operation of the sensors, or a selection operation of the plurality of sensor inputs.

Methods and systems for sensor fusion in a production line environment are disclosed. An example system for data collection in an industrial production environment may include an industrial production system comprising a plurality of components, and a plurality of sensors each operatively coupled to at least one of the components; a sensor communication circuit to interpret a plurality of sensor data values in response to a sensed parameter group; and a data analysis circuit to detect an operating condition of the industrial production system based at least in part on a portion of the sensor data values; and a response circuit to modify a production related operating parameter of the industrial production system in response to the detected operating condition.

A process for operating a virtual sensor for determining the condition of a tool holder on a tool machine, such as a spindle, and the condition of a tool machine which has at least one tool holder and at least one tool, attached or attachable to the tool holder, which allows a workpiece to be processed by running a machine program, and which has at least one control unit comprising at least one sensor.

The invention relates to a method for calibrating a virtual force sensor of a robot manipulator, wherein the following steps are carried out in a plurality of poses: applying an external wrench to the robot manipulator, ascertaining an estimate of the external wrench, ascertaining a first calibration matrix based on the ascertained estimate and a specified external wrench, ascertaining a second calibration matrix by inverting the first calibration matrix, and storing the respective second calibration matrix in a data set of all of the second calibration matrices, thereby assigning each second calibration matrix to the respective pose for which each second calibration matrix was ascertained.

A platform for updating one or more properties of one or more digital twins including receiving a request for one or more digital twins; retrieving the one or more digital twins required to fulfill the request from a digital twin datastore; retrieving one or more dynamic models corresponding to one or more properties that are depicted in the one or more digital twins indicated by the request; selecting data sources from a set of available data sources based on the one or more inputs of the one or more dynamic models; obtaining data from selected data sources; determining one or more outputs using the retrieved data as one or more inputs to the one or more dynamic models; and updating the one or more properties of the one or more digital twins based on the one or more outputs of the one or more dynamic models.

Methods and systems for data collection in an environment including pumps and fans are disclosed. A monitoring system may include a data collector communicatively coupled to a plurality of input channels, wherein the input channels are communicatively coupled to sensors measuring operational parameters of a pump or fan. A data storage may store one or more frequencies related to an operation of the pump or fan, and a data acquisition circuit may interpret a plurality of detection values from the collected data. A frequency evaluation circuit may detect a signal on one of the input channels at a frequency higher than the one or more frequencies at which the pump or fan operates.

According to an embodiment, an information processing apparatus is configured to set a candidate for a time lag until analysis target data including at least one of a measurement item and a setting item for use in control of a process controller affects an objective variable, and a time-lag number allowed in a regression model; select, as a candidate for an explanatory variable, at least one of the measurement item measured at a time corresponding to the candidate for the time lag and the setting item set at the time; and determine a regularization parameter of the regression model such that a number of the time lag is equal to or less than the time-lag number, based on a regularization path indicating transition of a regression coefficient for the candidate for the explanatory variable, the regression coefficient varying in accordance with a value of the regularization parameter.