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.

Apparatuses, methods and storage medium associated with monitoring or assisting in monitoring of an equipment process are disclosed herein. In embodiments, an apparatus may comprise an analyzer to: receive a plurality of simulation results of a plurality of control limit and alert zone combinations for potential use with a control chart to monitor the equipment process, and calculate a plurality of performance metrics for each of the plurality of control limit and alert zone combinations, using the plurality of simulation results. The apparatus may further select an optimal combination of control limits and alert zones, based at least in part on the plurality of performance metrics, and configure an equipment process monitor with the selected optimal combination of control limits and alert zones for use with a control chart to monitor the equipment process. Other embodiments may be described or claimed.

A programmable electronic computer embedded in an avionics environment on board an aircraft for implementing at least one critical function and associated electronic device, method and computer program are disclosed. In one aspect, the electronic computer includes at least one control module configured to implement a respective critical function and configured to deliver at least one output data item associated with the critical function, and at least one monitoring module of a control module of another electronic computer. Each monitoring module configured to implement the same respective critical function as the one implemented by the monitored control module.

A method and apparatus for determining differences between an automated installation and a digital twin of the automated installation and to an automated installation that includes the apparatus, wherein a sensor unit is fastened to a process material and passes through an automated installation together with the process material where, during this process, the sensor unit continuously records at least one measurement variable, a temporal profile of the recorded measurement variable is compared with a temporal profile of a corresponding simulated measurement variable and if there is a difference between the temporal profiles, then the location in the automated installation at which the difference is present is identified.

This data collection plan generating device generates a data collection plan including a combination of operating conditions for use when data are being acquired from an industrial machine that is operating. The data collection plan generating device: sets the specification of the industrial machine; extracts a constraining condition relating to an operation of the industrial machine; on the basis of the specification and the constraining condition, generates a plurality of operating conditions including a set of parameter values relating to the set specification; and generates and outputs a data collection plan from the generated operating conditions.

Embodiments of the present invention relate to a method and an apparatus for processing diagnosis data, a diagnosis device and a server. The method includes: dividing diagnosis data into at least two types of data; respectively encapsulating the at least two types of data into at least two pieces of interface data according to interface data formats; and sending the at least two pieces of interface data to a server respectively through different interfaces, to cause the server to respectively store the at least two pieces of interface data in different cloud databases. In the embodiments of the present invention, diagnosis data is divided into at least two types of data. The at least two types of data are respectively encapsulated into at least two pieces of interface data. The at least two pieces of interface data are sent to the server respectively through different interfaces. In this way, a problem of easily causing loss of a diagnosis history record due to a limited local storage capacity of an automobile diagnosis device can be avoided.

Embodiments include a server system including logic of an edge computing device. A network includes a cloud platform able to receive state change events from a state module, and execution of the program logic results in process steps of a method that include transmitting a plurality of attributes from the cloud platform to the at least one edge computing device, where the plurality of attributes can be associated with a device of a distributed environment coupled to the network. A further step includes receiving from the state module, by the edge computing device, current state data of the device, and a subsequent step includes performing a comparison based on a set of rules of the attributes, by the edge computing device, of the current state data. Further, based on the comparison, the method includes sending, by the edge computing device, an update to a human-machine-interface module.

An apparatus, methods and systems for collecting data related to an industrial environment are disclosed. A monitoring system can include a data collector communicatively coupled to a plurality of input channels relating to an aspect of an industrial production process, a data storage structured to store a plurality of detection values, a data analysis circuit structured to interpret a subset of the detection values to determine a state value comprising at least one of a process state or a component state, an optimization circuit structured to analyze a subset of the detection values and the state value, using at least one of a neural net or an expert system, to provide an adjustment recommendation, and an analysis response circuit structured to adjust the industrial production process in response to the adjustment recommendation.

A device management system includes a device information transmitting apparatus that collects information about a device, and a management apparatus that communicates with the device information transmitting apparatus via a communication network. At least one of the management apparatus and the device information transmitting apparatus includes an anomaly state input unit that receives an anomaly state of the device, and a designating unit that designates, in accordance with the received anomaly state, first information to be used to identify a cause of the anomaly state of the device. The device information transmitting apparatus includes a first information transmitting unit that transmits the first information to the management apparatus.

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.