In some embodiments, a monitoring system for an industrial environment includes a data collector structured to collect data from at least one of a plurality of sensors, an expert system configured to analyze the collected data and generate a corresponding heat map, and a heat map interface to provide the heat map to an AR/VR device, wherein the heat map overlays a view of the underlying sensors, and wherein the data collector is further configured to collect user data, representative of a behavior of the user, from the AR/VR device.

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.

Implementations relate to providing an alarm configuration GUI via which a user can interact in defining corresponding alarms for corresponding function block identifiers of a process automation system. For example, a user can interact with the alarm configuration GUI in selecting a function block identifier and in defining parameter(s) for an alarm configuration file to be assigned to the function block identifier. Some implementations additionally or alternatively relate to transmitting the alarm configuration file to a DCN, for local utilization by the DCN in alarm monitoring based on a function block having the function block identifier. The transmitting can be responsive to determining that the DCN implements local alarm monitoring based on the function block, and the alarm configuration file being assigned to the function block identifier.

Methods and devices for self organization of data collection are disclosed. A device can include a data acquisition circuit to request and receive a plurality of detection values, each of the plurality of detection values corresponding to a plurality of input sensors forming a self-organizing data pool and communicatively coupled to the data acquisition circuit, a data storage component to store specifications and anticipated state information for the plurality of input sensors of the data pool, and a response circuit to provide the data acquisition circuit with direction regarding a manner in which the plurality of detection values is requested.

A computer-facilitated method and a computerized system for providing optimization or improvement measures for one or more buildings are disclosed. Based on asset data regarding the building and on corresponding performance data, improvement measures related to a consumable resource in the one or more buildings are determined using a computer system configured for analyzing the asset data and the respective corresponding performance data based on internal and/or external key performance indicators and rules provided by a database.

Systems and methods for data collection and detection of noise patterns. A system may include a data collector communicatively coupled to a plurality of input channels, wherein at least one of the plurality of input channels is operatively coupled to a vibration detection facility structured to detect a noise pattern of an industrial machine, a library to store the detected noise pattern, an interface circuit structured to make the noise pattern available to a noise pattern marketplace, the noise pattern marketplace including a plurality of noise patterns from a plurality of industrial machines, and a user interface for accessing the plurality of noise patterns of the noise pattern marketplace.

An operation mode specifying unit specifies an operation mode of a machine by comparing time-series data of an amplitude and a frequency of measurement data obtained from a sensor with definition data of the operation mode of the machine created in advance by an operation mode data creation unit. In addition, an abnormality diagnosis unit performs processing of cluster analysis for the measurement data obtained from the sensor or the like, and diagnoses abnormality of the machine according to diagnosis procedure information that is set in advance depending on the set operation mode and an abnormality mode of the machine.

Systems and methods for data collection in an industrial environment are disclosed. An expert graphical user interface showing representations of components of an industrial machine to which sensors are attach is disclosed. The user interface may enable a user to select at least one of the components resulting in a search of a database of industrial machine failure modes for modes that correspond to the selected component. The corresponding failure mode may be presented to the user. The selection of the component may cause a controller to reference and implement a data collection template for configuring the system to automatically collect data from sensors associated with the selected component to detect at least one of the corresponding failure modes.

Method of back-calculation for determining candidate sources of data collection for data that contributes to a condition of an industrial machine are disclosed. Methods may include determining a condition of interest, following routes of data collection determined from a configuration and operational template, determining a data collection template configured for collecting and processing data from the contributing data, and updating the operational template of the data collection system in response to the determined data collection template.

Methods and systems for data collection for a chemical or pharmaceutical production process is disclosed. The system according to one disclosed non-limiting embodiment of the present disclosure can include a plurality of data collectors including a swarm of self-organized data collector members, wherein the swarm of self-organized data collector members organize to enhance data collection based on at least one of capabilities and conditions of the data collector members of the swarm, and wherein the plurality of data collectors is coupled to a plurality of input channels for acquiring collected data relating to the chemical or pharmaceutical production process, and a data acquisition and analysis circuit for receiving the collected data via the plurality of input channels and structured to analyze the received collected data using a neural network to monitor a plurality of conditions relating to the chemical or pharmaceutical production process.