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.

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 system for diagnosing an additive manufacturing device is provided. The system includes a first module configured to: obtain one or more parameters for a digital twin of a component of the additive manufacturing device based on raw data from the component of the additive manufacturing device; and generate physics features for the digital twin of the component of the additive manufacturing device based on the one or more parameters and one or more transfer functions, a second module configured to obtain one or more classifiers for classifying the component as a first condition or a second condition based on physics features; and a third module configured to: determine a health of the component based on the generated physics features of the first model and the one or more classifiers.

An integrated monitoring control apparatus includes a process to indicate a correspondence between a classification ID included in status information indicating status of the monitoring control device or status of an equipment subject to monitoring by the monitoring control device and a process performed on the status information, a receiver to receive the status information transmitted from the monitoring control device, and a process controller to cause performance, on the status information received by the receiver, of the process determined by the process definer based on the classification ID included in the status information.

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.

Systems and methods for data collection and processing are described, including a plurality of variable groups of industrial sensor inputs operationally coupled to an industrial environment and a multiplexer communicatively coupled to the industrial sensor inputs; and a controller configured to receive and monitor the data and adaptively schedule the data collector.

A building management system includes building equipment operable to affect a variable state or condition of a building and a control system configured to receive a user input indicating a model form. The model form includes a plurality of matrices having a plurality of elements defined in terms of a plurality of parameters. The control system is configured to parse the model form to generate a sequence of machine-executable steps for determining a value of each of the plurality of elements based on a set of potential parameter values, identify a system model by executing the sequence of machine-executable steps to generate a set of parameter values for the plurality of parameters, generate a graphical user interface that illustrates a fit between predictions of the identified system model and behavior of the variable state or condition of the building, and control the building equipment using the identified system model.

An equipment monitoring system includes a control unit that switches a detection operation mode of a detector between a simple detection mode where the detector periodically performs a momentary detection operation, and a detailed detection mode where the detector performs a continuous detection operation. In the simple detection mode, a diagnosis unit diagnoses whether an operating state of monitored equipment is a normal state or a state requiring caution based on results of detection by the detector. In the simple detection mode, the control unit maintains the simple detection mode when the diagnosis unit has diagnosed that the operating state of the monitored equipment is a normal state, and switches the detection operation mode of the detector from the simple detection mode to the detailed detection mode when the diagnosis unit has diagnosed that the operating state of the monitored equipment is a state requiring caution.

A system for diagnosing an additive manufacturing device is provided. The system includes a first module configured to: obtain one or more parameters for a digital twin of a component of the additive manufacturing device based on raw data from the component of the additive manufacturing device; and generate physics features for the digital twin of the component of the additive manufacturing device based on the one or more parameters and one or more transfer functions, a second module configured to obtain one or more classifiers for classifying the component as a first condition or a second condition based on physics features; and a third module configured to: determine a health of the component based on the generated physics features of the first model and the one or more classifiers.

A substrate processing system includes a monitored data receiving unit receiving a plurality of types of monitored data; a temporary memory unit periodically storing the monitored data; a monitored data rate detection unit detecting, as a monitored data rate, a total number of times each type of monitored data changes during a first time period by more than a predetermined amount; a monitored data writing allocation unit allocating a storing frequency to each type of monitored data based on the monitored data rate and an upper limit; a monitored data writing unit writing the monitored data to the temporary memory unit during the second time period based on the storing frequency; an accumulative memory unit storing the monitored data for a plurality of periods; and an accumulative data writing unit reading the monitored data for every third time period and storing the monitored data in the accumulative memory unit.