Strong Force IoT Portfolio 2016, LLC

Platforms and methods for improving correspondence between sensor data and haptic output are disclosed. A platform may include a haptic user device and a data collection system to collect sensor data. The haptic user interface may provide different types of haptic stimulation to a user based on the sensor data. The data collection system has a cognitive input selection system with machine learning to improve the effectiveness of the haptic output to the user. The machine learning is trained on feedback of user behavior. The machine learning improves the effectiveness of the haptic output by determining which type of haptic simulation to provide such that the haptic output logically corresponds to the sensor data, or by determining to vary one or more of a timing, an intensity level, or a duration of the haptic output based on the sensor data.

An example monitoring system for data collection includes a data collector including a plurality of sensor. The system includes a data storage to store a collector route template for the plurality of sensors with a sensor collection routine defining how the plurality of sensors. The system includes a data acquisition and analysis circuit to receive detection signals and evaluate the detection values with respect to a rule, and further, based on the evaluation of the detection values with respect to the rule, to modify the sensor collection routine.

Systems, methods, and apparatus for adjusting parameters in response to a predicted anticipated state of a component are described. A system may have a data collector to collect sensor data from an industrial environment and a controller to process the data. A collection parameter for one of the input sensors may be determined, an output data pattern recognized, and a signature selected from a plurality of signatures associated with output data patterns. A neural network, trained on signatures associated with output patterns to detect a state of the industrial environment, may predict an anticipated state of the environment and a parameter may be adjusted accordingly.

The systems and methods generally include a nuclear power plant unit assembled in a shipyard from a plurality of structural modules, each of the structural modules having manufactured components for use in power production when moored or fixed to a floor at least one of in and proximal to at least one of an offshore marine environment, a river environment and a coastal marine environment. The nuclear power plant unit is subdivided into at least one arrangement of structural modules that includes an electrical interface for one of transmitting electrical power generated by the nuclear unit and powering a system of the unit, a communications interface for communications internal or external to the unit, a user interface that is configured to permit a user to access a system of the unit, and a network interface for data communications to or from the unit.

Methods and systems for a monitoring system for data collection in an industrial environment including a data collector communicatively coupled to a plurality of input channels connected to data collection points operationally coupled to at least one industrial component in at least one of an industrial boiler system or industrial pipeline system; a data storage structured to store a library of stored noise patterns associated with operation of the at least one industrial component; a data acquisition circuit structured to interpret a plurality of detection values from the collected data; and a data analysis circuit structured to: analyze the collected data, determine a measured noise pattern for the at least one industrial component, and compare the measured noise pattern to the library of stored noise patterns to identify a changed condition of the at least one industrial component.

An industrial machine predictive maintenance system may include an industrial machine data analysis facility that generates streams of industrial machine health monitoring data by applying machine learning to data representative of conditions of portions of industrial machines received via a data collection network. The system may perform a method of image capture of a portion of an industrial machine in which an image capture template is provided and aligned via augmented reality with a live image in order to update a procedure for performing a service that implements a predicted maintenance action on an industrial machine. The system may perform a method of machine learning-based part recognition in which a captured image is analyzed and used to adapt a target part template, image analysis rules, or part recognition. The system may detect operating characteristics of an industrial machine via a machine learning aspect trained based on image data sets.

Methods and systems for a data marketplace in a fluid conveyance device includes a self-organizing data marketplace. The self-organizing data marketplace includes at least one data collector and at least one corresponding fluid conveyance device in an industrial environment, wherein the at least one data collector is structured to collect detection values from the fluid conveyance device; 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 a user in response to the user data request.

A system for data collection related to a fluid conveyance environment includes a data acquisition circuit comprising inputs and outputs; input sensors to provide sensor data values, coupled to a component in the fluid conveyance environment; and a processor comprising the data acquisition circuit. The processor is configured to determine a data storage profile; responsive to the data storage profile, configure the data acquisition circuit to selectively couple at least one of the inputs to at least one of the outputs; interpret the at least one of the sensor data values; store at least a portion of the at least one of the sensor data values in response to the data storage profile; analyze a set of the sensor data values and determine a data quality parameter; and adjust at least one of the data storage profile and a data collection routine in response to the data quality parameter.

A system and method for data collection of health state indicator associated with at least one industrial machine of the group of industrial machines, and determining a schedule of a service event of a service list for the group of industrial machines, wherein the service event is associated with the at least one industrial machine.