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 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 function execution system includes a function execution device configured to execute a plurality of functions, a storage device, an image acquisition device, and a reader device. The function execution device switches between first to fourth functions to be executed depending on whether code information, which is read by the reader device based on an image representing an information code included in a captured image acquired by the image acquisition device from the image capturing unit, is first code information or second code information and whether user information stored in the storage device is first user information or second user information.

Provided is a load data analysis method for analyzing, based on a rainflow method, load data indicative of a load irregularly and repeatedly applied to an object. The load data analysis method comprises: a first step of acquiring a given amount of load data, and calculating a frequency/frequencies regarding a load amplitude of a load applied to the object and/or a load average, based on the rainflow method, by using load data satisfying a given condition among the given amount of load data; a second step of storing load data failing to satisfy the given condition among the given amount of load data; and a third step of combining the load data stored in the second step with newly-acquired load data to generate the given amount of load data for executing the first step, wherein the first to third steps are repeatedly executed.

A control device (10) connectable to an imaging device (42) for controlling a control-target device includes an execution unit (11) that executes a control program to control the control-target device and outputs a first trigger signal when data (112) variable with execution of the control program satisfies a first condition, a receiver (63) that repeatedly receives image information indicating an image captured by the imaging device (42) and receives, from an environment detector including the imaging device (42) or a device (41) different from the imaging device, a second trigger signal indicating detection of environmental information including a result of detection performed by the environment detector satisfying a second condition, and a saver (66) that saves the image information received by the receiver (63) into a second storage (67) when receiving the first trigger signal from the execution unit (11) or receiving the second trigger signal with the receiver (63).

Systems and methods for verifying correct completion of a power control sequence in a switchgear provide a commissioning agent that can automatically verify correct completion of the power control sequence. The commissioning agent includes a sequence verification tool that can initiate performance of a power control sequence in the switchgear and immediately compare the sequence actually performed to the sequence intended to be performed. If the two sequences do not match in order and timing, the verification tool reports the mismatch and identifies the error. In some embodiments, the commissioning agent further includes a log viewer that captures the sequence actually performed in the switchgear and displays the result for viewing. Such an arrangement provides a faster and more reliable way to double-check the system integrity of the switchgear during initial engineering and after factory and/or field modifications.

A container handling system includes first and second rotary machines each comprising transport elements for transporting containers along first and second conveying paths, where the second conveying path is downstream of the first conveying path, a memory device, and a control device configured to determine during transport of a container that first and second transport elements transport containers in the first and second rotary machines and to store identifiers assigned to the first and second transport elements in the memory device, to ascertain whether an error is occurring during transport of the container through the container handling system, and to retrieve a stored identifier from the memory device if it is ascertained that the error has occurred.

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.

A robot control apparatus includes a controller to control operation of a robot, a storage to store operation logs with different preservation periods for the operation of the robot, a collector to, when a specific event occurs, select and collect an information element corresponding to a type of the event from the operation logs, a record generate to create a record from the information element collected by the collector, and a record preserver to preserve the record.

A platform for facilitating development of intelligence in an Industrial Internet of Things (IIoT) system generally includes a plurality of distinct data-handling layers having an industrial monitoring systems layer that collects data from or about a plurality of industrial entities in an industrial environment; an industrial entity-oriented data storage systems layer that stores the data collected by the industrial monitoring systems layer; and an adaptive intelligent systems layer that facilitates the coordinated development and deployment of intelligent systems in the IIoT system; wherein the adaptive intelligent systems layer includes an adaptive edge compute management system that adaptively manages edge computation, storage, and processing in the IIoT system.