The system generally includes a crosspoint switch in a local data collection system having multiple inputs and multiple outputs including a first input connected to a first sensor and a second input connected to a second sensor. The multiple outputs include a first output and a second output configured to be switchable between a condition in which the first output is configured to switch between delivery of a first sensor signal and a second sensor signal and a condition in which there is simultaneous delivery of the first sensor signal and the second sensor signal. Each of multiple inputs is configured to be individually assigned to any of the multiple outputs. The local data collection system includes multiple data acquisition units each having an onboard card set configured to store calibration information and maintenance history. The local data collection system is configured to manage data collection bands.

Methods and systems for the industrial internet of things

A monitoring apparatus, systems and methods for data collection in an industrial environment are disclosed. A system may include a data collector communicatively coupled to a plurality of input channels and to a network infrastructure, wherein the data collector collects data based on a selected data collection routine, 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, and a data analysis circuit structured to analyze the collected data and determine an aggregate rate of data being collected from the plurality of input channels, wherein if the aggregate rate exceeds a throughput parameter of the network infrastructure, then the data analysis circuit alters the data collection to reduce the amount of data collected.

Methods and systems for detection in an industrial internet of things data collection environment with large data sets

Novel tools and techniques are provided for implementing Internet of Things (“IoT”) functionality. In some embodiments, microphones of an IoT human interface device might receive user voice input. The IoT human interface device and/or a computing system might identify explicit commands in the voice input, identify first IoT-capable devices to which the explicit commands are applicable, receive sensor data from IoT sensors, and analyze the voice input in view of previous user voice inputs and in view of the sensor data to determine whether the voice input contains any implicit commands. If so, second IoT-capable devices to which an implicit command is additionally applicable might be identified, instructions based on a combination of the explicit and implicit commands may be generated and sent to the second IoT-capable devices. Instructions based only on the explicit commands are generated and sent to first IoT-capable devices to which implicit commands are not applicable.

Internet of things (IoT) human interface apparatus, system, and method

Novel tools and techniques are provided for implementing Internet of Things (“IoT”) functionality. In some embodiments, a first IoT-capable device might receive beacon data from each of one or more other IoT-capable devices in a self-organizing network (“SON”) of IoT devices, might compare the received beacon data with stored beacon data, and might send at least one first data to a computing system to update the computing system of any changes in the SON (indicating, without limitation, new devices, failed devices, disabled devices, devices that have moved out of range, etc.). The computing system might receive and analyze the at least one first data to determine a status of each IoT-capable device in the SON, might generate control instructions, and might autonomously send the control instructions to at least one of the IoT-capable devices in the SON to improve the functionality of the SON.

Internet of things (IOT) self-organizing network

Novel tools and techniques are provided for implementing Internet of Things (“IoT”) functionality. In some embodiments, a wearable control device (“WCD”) might receive first user input comprising one or more of touch, gesture, and/or voice input from the user. The WCD (and/or a remote computing system (“RCS”)) might analyze the first user input to identify a user device of a plurality of user devices to remotely control. The WCD might establish wireless communications with the identified user device, and might reconfigure its user interface to provide the user with command options to control the user device. The WCD might receive second user input. The WCD (and/or the RCS) might analyze the second user input to identify one or more functionalities of the user device to invoke, and might generate first command instructions, which might be sent by the WCD to the user device, via the wireless communications.

Wearable gesture control device and method

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.

Methods and systems for industrial internet of things data collection in a network sensitive upstream oil and gas environment

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 include an industrial machine predictive maintenance facility that produces industrial machine service recommendations responsive to the health monitoring data by applying machine fault detection and classification algorithms thereto. A computerized maintenance management system (CMMS) that produces orders and/or requests for service and parts responsive to the industrial machine service recommendations can be included. The system may include a service and delivery coordination facility that processes information regarding services performed on industrial machines responsive to the orders and/or requests for service and parts, thereby validating the services performed while producing a ledger of service activity and results for individual industrial machines.

Methods and systems for data collection, learning, and streaming of machine signals for analytics and maintenance using the industrial internet of things

The embodiment of the utility model discloses a data collection system for a chemical production process or an industrial environment. The system for collecting the data related to the chemical production process comprises a data collecting device and a data processing device, the multi-sensor acquisition part comprises a plurality of input ends and a plurality of output ends; a plurality of sensors operably coupled to at least one of a plurality of components of the industrial process, the utility model discloses a sensor data storage configuration file circuit. and a sensor communication circuit communicatively coupled to the plurality of outputs of the multi-sensor acquisition component and configured to interpret a plurality of sensor data values, sensor data storage implementation circuitry to store at least a first portion of the plurality of sensor data values in response to the data storage profile and data market circuitry to store at least a second portion of the plurality ofsensor data values on a data market.

Charles Howard Cella

Papers

Methods and systems for the industrial internet of things

Methods and systems for detection in an industrial internet of things data collection environment with large data sets

Methods and systems for industrial internet of things data collection in a network sensitive upstream oil and gas environment

Methods and systems for data collection, learning, and streaming of machine signals for analytics and maintenance using the industrial internet of things

A data collection system for use in chemical production process-related or industrial environment