Exemplary embodiments relate to a matching engine for the coordination of electric energy production and consumption, in particular in the presence of uncertainty. The engine provides matching based on uncertainty and flexibility in the electric supply and demand chains. The system can use quantified characterizations of uncertainty and flexibility provided by performance measurements of the elements in the chain.

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.

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.

An apparatus, methods and systems for data collection in an industrial environment are disclosed. A monitoring system can include a data collector communicatively coupled to each one of a plurality of input channels utilizing one of a plurality of collector routes, wherein each input channel includes data corresponding to an element of a first industrial machine, and wherein each of the plurality of collector routes includes a distinct data collection routine, a data storage circuit structured to store a plurality of detection values that corresponds to the plurality of input channels, and a data marketplace circuit structured to communicate at least a portion of the detection values to a data marketplace, wherein the data marketplace circuit performs at least one of self-organizing the data marketplace and automating the data marketplace.

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.

Systems, methods and apparatus for modifying a data collection trajectory for centrifuges are described. An example system may include a data acquisition circuit to interpret a plurality of detection values, each corresponding to at least one of a plurality of input sensors communicatively coupled to the data acquisition circuit. The system may further include a data storage circuit to store specifications and anticipated state information for a plurality of centrifuge types and an analysis circuit to analyze the plurality of detection values relative to specifications and anticipated state information to determine a centrifuge performance parameter. A response circuit may initiate an action in response to the centrifuge performance parameter.