Systems, methods and apparatus for data monitoring are disclosed. A system may 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 communicatively coupled to the data acquisition circuit, a data storage circuit structured to store specifications and anticipated state information for a plurality of vehicle types, an analysis circuit structured to analyze the plurality of detection values relative to specifications and anticipated state information to determine a vehicle performance parameter, and a response circuit structured to initiate an action in response to the vehicle performance parameter.

Provided is a method, a device and a positioning system for positioning a sensor at an optimized position for optimized monitoring of a technical system. The method includes providing a physical simulation model of the technical system, wherein the physical simulation model includes a virtual sensor at a given position, simulating a performance of the technical system by the physical simulation model, providing a response signal of the virtual sensor to the simulated performance at the given position, determining a first optimized position for the virtual sensor where the response signal is intensified by an optimization algorithm, and providing co-ordinates of the first optimized position for positioning a physical sensor at the technical system.

A system, method and apparatus for data collection related to a chemical production process are described. A system may include a data acquisition circuit structured to interpret a plurality of detection values, each of the plurality of detection values corresponding to input received from a detection package, the detection package including at least one of a plurality of input sensors coupled to at least one of a plurality of components of the process, a data analysis circuit structured to analyze a subset of the plurality of detection values to determine at least one of a sensor state, a process state, and a component state, wherein the data analysis circuit includes a pattern recognition circuit, and an analysis response circuit structured to perform an action in response to the at least one of the sensor state, the process state, and the component state.

A turbomachine control system that includes signal monitoring features is provided. Particularly, the control system proactively isolates or discards unresponsive sensed signals to prevent them from being used to control the turbomachine. The control system can detect and discard unresponsive signals and can utilize a healthier signal or a model of the expected sensor response instead to avert undesirable events, such as e.g., a loss of thrust control event. In one example aspect, the control system includes one or more computing devices that receive a sensed signal. The variance of the sensed signal is determined and then compared to an expected variance of the signal. The expected variance can be output by a sensor model of the one or more computing devices. A variance ratio is determined and the output is compared to a predefined threshold. If the output of the variance threshold exceeds the predefined threshold, then the signal is classified as unresponsive.

Systems for data collection and self-organizing storage including enhanced resolution are disclosed. An example system includes an industrial system with a plurality of components, a subset of which is operatively coupled to a plurality of sensors which provide sensor values. An example system may further include self-organizing storage for at least a portion of the plurality of sensor values and a means for enhancing resolution of the sensor values in response to an enhanced data request value or an alert value. Enhanced resolution may include an enhanced spatial resolution, an enhanced time domain resolution, a greater number of the plurality of sensor values than a standard resolution of the plurality of sensor values, or a greater precision of at least one of the plurality of sensor values than the standard resolution of the plurality of sensor values.

Real-time alerts and transmission of selected signal samples is disclosed. One example is a system including a base facility linked to a production station with an alerting system to perform anomaly analysis utilizing an anomaly model. A receiver at the base facility receives, from the production station, a selection of signal samples based on the anomaly analysis, where the received selection is optimized at the production station to be substantially relevant to an update of a statistical model while adhering to a dynamic capacity limitation of the production station. The statistical model is maintained at the base facility and incorporates features related to the production station. A management system at the base facility updates the statistical model based on the received selection, optionally derives an updated anomaly model based on the statistical model, and optionally transmits the updated anomaly model to the production station.

An apparatus including a sensor communication circuit structured to interpret a plurality of sensor data values from input sensors operationally coupled to a component of an industrial environment, a sensor data storage profile to determine a data storage profile in response to a processing capability associated with each of a plurality of data storage devices, and a data storage implementation circuit, communicatively coupled to each of the plurality of data storage devices, to store at least a portion of the sensor data values in response to the data storage profile is disclosed. The data storage profile may include a data storage plan wherein the data storage plan includes a storage location and a storage time for sensor data values.

Systems and methods utilizing noise analysis to analyze conveyor performance are disclosed. An example system for monitoring a plurality of components of a conveyor in an industrial environment may include a data acquisition circuit to interpret a plurality of detection values, each detection values corresponding to at least one of a plurality of input sensors operationally coupled to the conveyor. A data processing circuit may utilize at least one of the detection values to perform a noise processing operation on at least a portion of the detection values. A signal evaluation circuit may determine a conveyor performance parameter in response to the noise processed portion of the detection values and a response circuit may then perform at least one operation in response to the conveyor performance parameter.

Systems and methods for data communication over a plurality of data paths are disclosed. Messages between a first node and a second node may be transmitted, wherein some of the messages are transmitted over a first data path using a first communication protocol, and some of the messages are transmitted over a second data path using a second communication protocol. A determination may be made that the first data path is altering a flow of messages due to the messages being transmitted using the first communication protocol and a number of messages sent over the different data paths adjusted in response, wherein adjusting comprises decreasing a number of the messages transmitted over the first data path and increasing a number of messages transmitted over the second data path, wherein altering the flow of messages is performed automatically under control of an expert system.

Systems and methods for implementing a monitoring system for data collection in an industrial environment are disclosed. A method may include communicatively coupling a plurality of input channels to input sensors and interpreting detection values corresponding to the input channels, wherein the sensor data is acquired from a first group of input channels. A method may further include storing sensor specifications for sensors that correspond to the input channels, evaluating the sensor data with respect to stored anticipated state information including an alarm threshold level, setting an alarm state when the threshold level is exceeded for a first input channel, and changing the input channels being collected to an alternative group of input channels.