A non-transitory computer-readable medium stores instructions that, when executed by a processor, cause the processor to receive, via the processor, a characteristic of data to be collected from an operational technology (OT) device disposed within an OT network associated with an industrial automation system configured to perform an industrial automation process, determine, via the processor, that the characteristic exceeds a threshold value, and deploy, via the processor, in response to determining that the characteristic exceeds the threshold value, a container to a compute surface within the OT network that is disposed within a threshold distance of the OT device. The container is configured to receive the data from the OT device and process the received data.

A computer-implemented method, system, and computer program product are provided. A plurality of maintenance messages (MMSGs) are identified. Each MMSG is associated with at least one shut-off valve. A sensor parameter is identified based on an analysis of sensor parameters associated with the shut-off valves of each MMSG. A threshold value for the sensor parameter is identified as being associated with abnormal operation of the respective shut-off valves. A sensor associated with a first shut-off valve captures values for the sensor parameter during a first and second predefined time period, the first and second predefined time periods associated with an opening and a closing of the first shut-off valve. Upon determining that a difference between the maximum values of the sensor values captured during the first and second predefined time periods exceeds the first threshold value, a determination is made that the first shut-off valve is operating abnormally.

Provided is a monitoring device capable of easily ascertaining an abnormality. A monitoring device comprises: an acquisition unit which acquires actual operation data (53a) from a control device which controls an actual machine; a storage unit which stores reference operation data indicating reference operation of the actual machine, first related information and second related information; a timing chart generation unit which generates an actual operation timing chart and a reference operation timing chart, and displays the timing charts on a display device; and a simulation data generation unit which generates simulation data of a reference image and a real image.

A method for monitoring a driving unit of a car body assembly line, and a device therefor. The method includes: storing, for each driving unit, as initial data of the driving unit, information on time length, a peak current, an average current of a constant-speed section, and a current integral area in each sub section on the basis of a time-based current value measured in a normal state of the driving unit; storing, as observation data for each monitoring factor, information on the time length, the peak current, the average current of the constant-speed section, and the current integral area in each sub section, for each operating section observed during an operation of the driving unit; and individually comparing each piece of the information with a threshold level of the initial data, and providing state monitoring information of the driving unit, for each monitoring factor.

A method and a system for detecting anomalies in a water distribution system comprises a network of nodes, and is equipped with sensors of at least water velocity at a subset of the nodes. The water distribution system is modeled by a hydraulic model. The method comprises parametrizing the hydraulic model with initial values of a set of control variables, using the sensors to obtain values of state variables of the network at the nodes, using the hydraulic model to calculate predicted values of state variables, recursively calculating the values of control variables which, applied to the hydraulic model, permit to obtain the predicted values of state variables the closest to the observed values, and classifying nodes of the network based on the values of control variables.

A system and a method related to a key performance indicator (KPI) analysis system with a KPI rules builder and a method to generate configurable diagnostic KPI rules. The diagnostic engine for the KPI analysis system can be set up for easy usage by a user without detailed knowledge of specific sensor parameters in relation to the KPI rules. Instead, the KPI rules builder may provide a high level, abstract, organizational interface for generating KPI rules without specific preset correspondence of sensors to KPI rules.

A method is provided for selecting a plurality of program functions for providing repeatedly implemented functions, e.g., in a vehicle, ship or in an aircraft. The method includes determining a first total performance value based on recorded first single performance values and recorded first dependencies, determining a first total performance value based on determined second single performance values and recorded second dependencies, determining a cluster performance from the first total performance value and from the second total performance value, and the cluster performance value or at least one value determined from the cluster performance value is used for selecting the program functions or of other program functions for providing the repeatedly implemented functions.

Described are techniques for optimizing a target automated ecosystem. Requirements of the target automated ecosystem are received. A digital twin simulation of one or more reference automated ecosystems implementing the requirements of the target automated ecosystem are created and executed. Furthermore, a digital twin simulation of the target automated ecosystem is created and executed to implement the requirements of the target automated ecosystem. A comparative analysis is then performed between the digital twin simulations of one or more reference automated ecosystems and the target automated ecosystem. Based on the comparative analysis, the infrastructure implemented and/or processes executed by the reference automated ecosystem(s) with an improvement over the infrastructure implemented and/or processes executed by the target automated ecosystem that exceeds a threshold value, which may be user-selected, are identified. Such identified infrastructure and/or processes are then provided to an expert to be adopted and implemented in the target automated ecosystem.

Providing storage tailored for a storage consuming application, including: identifying, for an application that utilizes storage resources within a cloud-based storage system, one or more storage performance characteristics associated with the application; comparing the storage performance characteristics of the application that were identified with storage performance characteristics of storage resources of one or more cloud-based storage systems; and selecting, based on the comparing, one or more storage resources within the one or more cloud-based storage systems to provide storage services to the application.

Methods and systems for operating an aircraft engine. A health parameter for the aircraft engine is monitored by a health evaluation device, the health parameter received from a first instrument. the health parameter is compared, by the health evaluation device, to a predetermined threshold. When the health parameter reaches the predetermined threshold, the health evaluation device wirelessly transmits a fault signal to a controller associated with the aircraft engine to elicit a health response from the controller, the fault signal containing at least two mutually-exclusive fault codes associated with an operating condition of the aircraft engine monitored by a second instrument.