Remote sensing techniques are being increasingly used for periodic structural health monitoring of vast infrastructures. Conventionally, analysis of visual and other signals captured from sensing devices are used to diagnose faults. Such data collection and analysis is expensive in terms of both computational overheads as well as towards robotic maneuvering of data collection systems, such as a UAV. In accordance with the present disclosure, the data acquisition system is modeled as an intelligent situated agent that autonomously controls data gathering and analysis activities through a cognitive cycle of perception-recognition-action, in order to optimize the cost of efforts in identifying faults that may exist. Also, a reactive, economical planning algorithm around Qualitative

Bayesian Network (QBN) that controls the sequence of data collection and analysis has been implemented.

A method includes collecting a data for a time from sensors to a fixed monitoring system. The fixed monitoring system is fixedly coupled to a turbo-machinery and the sensors are configured to monitor the turbo-machinery, also, the time comprises at least one week. The method also includes recovering the data by coupling a portable machinery monitor to the fixed monitoring system and retrieving the data into the portable machinery monitor. The method also includes analyzing the data to determine one or more machinery conditions. The analyzing the data comprises analyzing the data via the portable machinery monitor, an external system, or any combination thereof.

A computer-implemented method for detecting and predicting anomalies in an energy management system is presented. The method includes detecting, in real-time, a first set of outliers for a plurality of energy devices under operation, predicting a second set of outliers for running the plurality of energy devices, analyzing historical energy data of the plurality of energy devices to extract a third set of outliers, receiving feedback, in real-time, from a user regarding each of the first, second, and third sets of outliers, and training the energy management system with the real-time feedback received from the user to automatically optimize a threshold of error detection.

An apparatus, methods, and systems for data collection in a production environment are described. The system may include a data collector communicatively coupled to a plurality of input channels, wherein a first subset of the plurality of input channels are connected to a first set of sensors measuring operational parameters from a production component, a data storage structured to store a plurality of collector routes and collected data, a data acquisition circuit structured to interpret a plurality of detection values from the collected data of the production component, and a data analysis circuit structured to analyze the collected data and evaluate a first collection routine of the data collector based on the analyzed collected data, wherein based on the analyzed collected data the data collector makes a collection routine change.

Systems, methods and apparatus for data collection in an industrial environment are described. The system may include a multi-sensor acquisition component, the multi-sensor acquisition component including a plurality of inputs and outputs, a plurality of sensors operatively coupled to at least one of a plurality of components of an industrial process, and each communicatively coupled to at least one of the plurality of inputs of the multi-sensor acquisition component, a sensor data storage profile circuit structured to determine a data storage profile, a sensor communication circuit communicatively coupled to the plurality of outputs of the multi-sensor acquisition component, a sensor data storage implementation circuit structured to sensor data values in response to the data storage profile; and a data marketplace circuit structured to store at least a second portion of the plurality of sensor data values on a data marketplace.

A data collection system in an industrial environment includes a data collector coupled to a plurality of input channels, wherein a collector route determines a subset of the input channels for data collection, the collector route selected based on a data marketplace indicator; a data storage structured to store a plurality of collector routes and collected data that correspond to the input channels, each comprising a different data collection routine for the input channels; a data acquisition circuit structured to interpret a plurality of detection values from the collected data, each corresponding to at least one of the input channels; and a data analysis circuit structured to analyze the collected data from the input channels and evaluate a selected collection routine of the data collector based on the analyzed collected data, wherein the selected collection routine is switched to a second collection routine based on a received data marketplace indicator.

According to some embodiments of the present invention there is provided a computerized method for automatic monitoring of control systems. The method may comprise receiving electronic measurement values, measured on one or more conductors of computerized control devices, where the conductors may be a system bus conductor and/or and input-output line of a programmable logic controller. The method may comprise automatically calculating normal data patterns based on an analysis of the electronic measurement values. The method may comprise matching between new electronic measurement values measured on the computerized control devices and the normal data patterns to automatically detect abnormal data patterns. The method may comprise sending automatically an abnormal operation alert in response to the abnormal data patterns.

A support device executes a maintenance operation for a PLC, and records, into the PLC, information identifying the maintenance operation. The maintenance operation includes at least either of writing and deleting of data such as firmware into/from the PLC. The support device may further record, into the support device itself, information identifying the maintenance operation. In addition, the PLC uses data stored in a recording medium to execute a maintenance operation for the PLC. At this time, the PLC records, into the PLC itself, information identifying the maintenance operation. The PLC may further record, into the recording medium, the information identifying the maintenance operation.

Monitoring a processing asset for one of an oil processing facility and a gas processing facility includes a data acquisition circuit structured to interpret a plurality of detection values corresponding to input received from a detection package, the detection package comprising at least one of a plurality of input sensors, each of the plurality of input sensors operatively coupled to at least one of a plurality of process components; a data analysis circuit structured to analyze a subset of the plurality of detection values to determine a status parameter; and an analysis response circuit structured to adjust a process utilizing the processing asset in response to the status parameter comprising altering at least one process parameter selected from the process parameters consisting of: a temperature, an operating speed, a utilization value of one of the plurality of process components, and a process flow.

A monitoring system for data collection in an industrial drilling environment comprising a data collector communicatively coupled to a plurality of input channels and to network infrastructure, wherein the data collector is sensitive to a change to a parameter of the network infrastructure within the environment; a data storage structured to store a plurality of collector routes, each comprising a different data collection routine, and collected data that corresponds to the input channels; a data acquisition circuit structured to interpret a plurality of detection values from the collected data corresponding to one of the input channels; and a data analysis circuit structured to analyze the collected data from the plurality of input channels and evaluate a selected collection routine of the data collector, wherein the selected collection routine is switched to a second collection routine due to the data analysis circuit detecting a change to a network infrastructure parameter.