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.

An apparatus and method for parameter comprehensive monitoring and troubleshooting of power transformation and distribution are disclosed. The apparatus includes a data acquisition unit, an on-site CPU, a main CPU, an operation and maintenance control center, a UPS and an energy storage breaking mechanism. Each on-site CPU compares the relevant state values of equipment line collected by a data acquisition unit with a threshold set by fiber Bragg grating sensor nodes and sums up to a main CPU. The main CPU stores and display the relevant state values through a display screen. The node represents each distribution point. A link represents a data transmission path. An attached table displays all state parameters. A working state of the distribution equipment is determined according to a color of the node and the link.

Systems, methods and apparatus include a computer-implemented method that performs the following. First inputs are received from a first monitoring of the main power distribution system (MPDS) at a safety instrumented system (SIS) logic solver. The first inputs include power status information for equipment monitored by a main distribution switchgears (MDS). A second input is received at the SIS logic solver, from a second monitoring of the MPDS. The second input includes power status information for equipment monitored by a motor control center (MCC). SIS logic solver logic in the SIS logic solver is executed by the SIS logic solver using at least one of the first and second MPDS inputs. Upon confirmation of a power failure in the MPDS detected instantly by MDS or MCC functional safety capable controllers, the SIS logic solver logic generates an output signal to cut an incoming feed to processing plants, leading to discard power failure as a worst credible design case scenario for flare and disposal relief systems, the worst credible design case scenario caused by at least one of the first inputs and the second inputs.

An apparatus, methods and systems for data collection in an industrial environment are disclosed. A monitoring system can include a data collector coupled to a plurality of sensors to collect data, a data storage structured to store a plurality of data collection management plans, 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 and select one of the plurality of data collection management plans, wherein the selected one of the plurality of data collection management plans is selected is at least in part based on a data analysis of received data from the plurality of sensors.

A platform for facilitating development of intelligence in an Industrial Internet of Things (IIoT) system generally includes a plurality of distinct data-handling layers comprising an industrial monitoring systems layer that collects data from or about a plurality of industrial entities in the IIoT system; an industrial entity-oriented data storage systems layer that stores the data collected by the industrial monitoring systems layer; an adaptive intelligent systems layer that provisions available computing resources within the platform; and an industrial management application platform layer that manages the platform in a common application environment.

Systems and methods of monitoring a production level of a vibratory feeder configured to process a workpiece are described herein. The methods include operating a processor to: receive device data associated with the vibratory feeder during operation of the vibratory feeder, the device data comprising at least one input state of the vibratory feeder; receive production data associated with the vibratory feeder, the production data being representative of a production level of the vibratory feeder; determine, based on the device data and/or the production data, one or more faults corresponding to the vibratory feeder when the production level falls below a threshold production level; and determine, based on the one or more faults, a corrective action to return the production level to or above the threshold production level.

Systems for self-organizing data collection and storage in a manufacturing environment are disclosed. A system may include a data collector for handling a plurality of sensor inputs from sensors in the manufacturing system, 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 at least one target system. The system may also include a self-organizing system for self-organizing a storage operation of the data, a data collection operation of the sensors, or a selection operation of the plurality of sensor inputs. The self-organizing system may organize a swarm of mobile data collectors to collect data from a plurality of target systems.

A controller for controlling a system having uncertainties in its dynamics subject to constraints on an operation of the system is provided. The controller is configured to acquire historical data of the operation of the system, and determine, for the system in a current state, a current control action transitioning a state of the system from the current state to a next state. The current control action is determined according to a robust and constraint Markov decision process (RCMDP) that uses the historical data to optimize a performance cost of the operation of the system subject to an optimization of a safety cost enforcing the constraints on the operation, wherein a state transition for each of state and action pairs in the performance cost and the safety cost is represented by a plurality of state transitions capturing the uncertainties of the dynamics of the system.

An apparatus, methods and systems for data collection related to an oil and gas process and disclosed. A system may include a multi-sensor acquisition component including a plurality of inputs and a plurality of outputs, a sensor data storage profile circuit structured to determine a data storage profile including a data storage plan for the plurality of inputs, a sensor communication circuit structured to interpret a plurality of inputs, a sensor data storage implementation circuit structured to store at least a portion of the inputs in response to the data storage profile, a data analysis circuit structured to analyze the plurality of inputs and determine a data quality parameter, and a data response circuit structured to adjust at least one of the data storage profile and the data collection routine in response to the data quality parameter.