The present disclosure discloses a data generation method and apparatus, and a computer-readable storage medium, the method including: importing a robot model by using a game engine; simulating a Red-Green-Blue Depth (RGBD) camera by a scene capture component in the game engine; controlling a human hand of the imported robot model to move within a field of view of the RGBD camera by using a joint control module in the game engine; acquiring RGBD image data by using the RGBD camera; and generating an annotated data set with coordinates of 21 key points according to the RGBD image data and coordinate information of a 3D pose of the 21 key points.

Methods and systems for monitoring a plurality of components of a pump in an industrial environment include a data acquisition circuit structured to interpret a plurality of detection values, each of the plurality of detection values corresponding to at least one of a plurality of input sensors operationally coupled to the pump and communicatively coupled to the data acquisition circuit; a data processing circuit structured to utilize at least one of the plurality of detection values to perform at least one noise processing operation on at least a portion of the plurality of detection values; a signal evaluation circuit structured to determine a pump performance parameter in response to the noise processed plurality portion of the plurality of detection values; and a response circuit structured to perform at least one operation in response to the pump performance parameter.

A method for determining a measured variable comprises the following steps: a) providing a data record comprising values of a plurality of input variables and values of the measured variable; b) ascertaining correlations between the values of the input variables and the values of the measured variable; c) creating a sensor model on the basis of the ascertained correlations; d) acquiring at least one further value of at least one of the input variables; and e) determining a value of the measured variable on the basis of the at least one further value of at least one of the input variables and the sensor model wherein the values of at least one of the input variables in steps a) and/or e) have been determined, in turn, according to steps a) to e). Further, a sensor system and a gas turbine engine are provided.

An apparatus, methods and systems for monitoring network-sensitive data collection related to an industrial production process are disclosed. The system may include a data collector communicatively coupled to a plurality of input channels and to a network infrastructure, a data storage circuit structured to store a plurality of collector routes wherein the data collector receives collected data utilizing a selected collector route, a data analysis circuit structured to determine a data collection quality parameter and a state value of the industrial production process, a pattern recognition circuit structured to determine an identified pattern in response to at least a portion of the collected data and at least one of the state value or the data collection quality parameter, and an analysis response circuit structured to adjust one of the collector routes or the industrial production process in response to the identified pattern.

Systems and methods for data collection in an industrial environment can include a data collector to route analog signals from a plurality of analog sensor inputs to a plurality of output channels of in accordance with a first routing scheme and a controller configured to adjust the routing scheme to a second routing scheme. The first routing scheme may include providing at least two of the plurality of analog sensor inputs at one of the plurality of output channels and the second routing scheme may include providing at least one of the at least two of the plurality of analog sensor inputs to a different one of the plurality of output channels.

A self-organizing data marketplace includes a plurality of data collectors and a corresponding plurality of industrial environments, wherein each of the plurality of data collectors is structured to collect detection values from at least one sensor of the corresponding industrial environment, a data storage structured to store a data pool comprising at least a portion of the detection values, a data marketplace structured to self-organize the data pool, and a transaction system structured to interpret a user data request, and to selectively provide a portion of the self-organized data pool to the user in response to the user data request.

A system includes an expert graphical user interface configured to: present a list of reliability measures of an industrial machine, facilitate a selection by a user of a reliability measure from the list of reliability measures, present a representation of a smart band data collection template associated with the reliability measure selected by the user, and a data routing and collection system configured to, in response to a user indication of acceptance of the smart band data collection template, collect data from a plurality of sensors in an industrial environment in response to a data value from one of the plurality of sensors being detected outside of an acceptable range of data values.

The invention relates to a method for generating items of context-dependent information for informing a user about a status of a technical system, wherein the items of context-dependent information of the technical system are provided by various data sources. In order to obtain items of information about a new context of the technical system without real data sources, it is proposed that estimated context-dependent items of information of a new context are generated by correlating the data elements of the various data sources and without knowledge of real values of the new context, but based on known and experience-related values, and provided to the user.

Systems and methods for data collection in an industrial environment are disclosed. A system can include a plurality of analog sensors, wherein each of the plurality of analog sensors is operationally coupled to a respective data collection point of a machine component, and generates a respective stream of detection values. A data acquisition and analysis circuit can receive the respective stream of detection values and analyze the respective stream of detection values using an expert system analysis circuit, wherein the expert system analysis circuit determines an occurrence of an anomalous condition based on an analysis of the respective stream of detection values, wherein the expert system analysis circuit utilizes a neural network including one of a probabilistic, a time delay, and a convolutional neural network.

Systems for self-organizing collection and storage in a distribution environment are disclosed. A system may include a data collector for handling a plurality of sensor inputs from sensors in the distribution environment, wherein the sensor inputs sense at least one of an operational mode, a fault mode, a maintenance mode, or a health status of at least one target system selected from a group consisting of a power system, a conveyor system, a robotic transport system, a robotic handling system, a packing system, a cold storage system, a hot storage system, a refrigeration system, a vacuum system, a hauling system, a lifting system, an inspection system, and a suspension system. A system may further include a self-organizing system for: a storage operation of the data, a data collection operation, or a selection operation.