Methods and systems for detection in an industrial Internet of Things (IoT) data collection environment with intelligent data collection and equipment package adjustment for oil and gas equipment are disclosed. An example monitoring system for data collection in an oil and gas production environment can include a data collector communicatively coupled to a plurality of input channels connected to data collection points operatively coupled to at least one piece of equipment of an equipment package of the oil and gas production environment. The system further includes a data acquisition circuit to interpret detection values from the plurality of input channels and a data analysis circuit to utilize an expert system diagnostic tool to identify an off-nominal process state based on the detection values. The system may further include a response circuit to adjust an equipment package parameter in response to the off-nominal process state.

Methods and systems for detection in an industrial Internet of Things data collection and production environment using a distributed ledger are disclosed. An example monitoring system for data collection in a production environment may include a data collector communicatively coupled to a plurality of input channels, each input channel operatively coupled to at least one piece of equipment of the production environment. The system may further include a distributed ledger to store the detection values and a data acquisition circuit to interpret at least a portion of the detection values. The system may further include a data analysis circuit to identify a status corresponding to the production environment in response to the portion of the detection values and a response circuit to adjust a parameter of the production environment in response to the status.

Methods and systems for a data marketplace in a conveyor environment includes a self-organizing data marketplace. The self-organizing data marketplace includes at least one data collector and at least one corresponding conveyor in an industrial environment, wherein the at least one data collector is structured to collect detection values from at least one sensor of a power roller of the at least one corresponding conveyor; 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.

Monitoring systems for data collection in a vehicle steering system include a vehicle steering system comprising a rack, a pinion, and a steering column; 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, each of the plurality of input sensors operationally coupled to the rack, the pinion, or the steering column, and communicatively coupled to the data acquisition circuit; a signal evaluation circuit comprising: a timer circuit structured to generate at least one timing signal; and a phase detection circuit structured to determine a relative phase difference between at least one of the plurality of detection values and the at least one timing signal from the timer circuit; and a response circuit structured to perform at least one operation in response to the relative phase difference.

Systems and methods for changing a sensed parameter group include a data collector communicatively coupled to a plurality of input sensors, each of the plurality of input sensors operatively coupled to a one of a mixer or an agitator, wherein the one of the mixer or the agitator comprises a component of an industrial environment; a controller, comprising: a data acquisition circuit structured to interpret a plurality of detection values corresponding to a sensed parameter group, wherein the sensed parameter group comprises at least a portion of the plurality of input sensors; a pattern recognition circuit structured to determine a recognized pattern value in response to the plurality of detection values; and a sensor learning circuit structured to update the sensed parameter group in response to the recognized pattern value.

An exemplary geospatial image processing system generates, based on multiple detections of an object of interest detected by a computer vision model in multiple, correlated images of a geospatial location captured from different camera viewpoints, user interface content that includes a visual indication of the detected object of interest superimposed at an object position on a view of the geospatial location. The system provides the user interface content for display in a graphical user interface view of a user interface and provides, by way of the user interface, a user interface tool configured to facilitate user validation of one or more of the multiple detections of the object of interest. The system may receive, a user validation of one or more of the multiple detections of the object of interest and may train the computer vision model based on the user validation. Corresponding methods and systems are also disclosed.

Semi-automatic annotation of medical images is provided. In various embodiments, a classifier is applied to each of a first plurality of medical images to generate a label and an associated confidence value for each of the first plurality of medical images. The classifier is pre-trained using a manually labeled set of medical images. Those of the first plurality of medical images having an associated confidence value below a predetermined threshold are selected. The selected medical images are provided to a user. Updated labels are received from the user for the selected medical images. The classifier is retrained using the first plurality of medical images, with the updated labels for the selected medical images and the generated labels for medical images not selected.

Methods and distributed ledger systems for detection in an industrial Internet of Things data collection environment for a tank are disclosed. An example monitoring system may include a data collector communicatively coupled to a plurality of input channels, each of the plurality of input channels operatively coupled to at least one component of the tank, and a distributed ledger to store detection values collected from the input channels. The system may further include a data acquisition circuit communicatively coupled to the distributed ledger, and structured to interpret at least a portion of the plurality of detection values, and a data analysis circuit to identify a status corresponding to the tank in response to a portion of the detection values and a response circuit to adjust a parameter of the tank in response to the status.

Systems and methods for data collection and frequency evaluation for a mixer or agitator are disclosed. An example monitoring system for data collection may include a mixer or agitator with at least one component and a data acquisition circuit to interpret a plurality of detection values corresponding to input sensors operationally coupled to at least one component of the mixer or agitator. The system may further include a data storage circuit to store one or more operating frequencies and a frequency evaluation circuit to detect an operating signal in response to the plurality of detection values, wherein the operating signal comprises a frequency higher than the operating frequencies. The system may further include a response circuit to perform at least one operation in response to the detected operating signal.

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.