A method may include receiving, via a first computing node, a first pod from a second computing node. The method may also include retrieving a first image file that may include a first set of containers from a registry based on the first pod. The first set of containers may cause a control system to halt operations. The method may then involve generating a first package based on the first set of containers and storing the first package in a filesystem, receiving a second pod from the second computing node, and retrieving a second image file having a second set of containers from the registry. The second pod may include the second set of containers may cause the control system to update software components. The method may also involve generating a second package based on the second set of containers and storing the second package in the filesystem.

An industrial integrated development environment (IDE) provides a development framework for designing, programming, and configuring multiple aspects of an industrial automation system using a common design environment and data model. Projects creating using embodiments of the IDE system can be built on an object-based model rather than, or in addition to, a tag-based architecture. To this end, the IDE system can support the use of automation objects that serve as building blocks for this object-based development structure. These automation objects represent corresponding physical industrial assets and have associated programmatic attributes relating to those assets, including data logging and device configuration parameters. Functional relationships between automation objects can be defined to yield object hierarchies, and object attributes can be propagated across objects up and down the hierarchy.

A vehicle-user interaction system for a vehicle includes: an editor configured to receive one or more inputs from a user of the vehicle and edit the one or more inputs into a rule script, the rule script including a user-defined rule based on the one or more inputs, the user-defined rule defining a trigger condition and a vehicle operation performed when the trigger condition is satisfied; a parser configured to create a list of monitoring elements and a list of functional elements based on the rule script, the list of monitoring elements including sensor elements that directly or indirectly describe the trigger condition, and the list of functional elements including functional elements that are associated with the vehicle operation; and an actuator configured to monitor sensor detection information associated with the sensor elements, determine whether the trigger condition is satisfied, and execute the functional elements to implement the user-defined rule in the vehicle.

A dashboard interface may be displayed on a lab instrument to provide aggregate status information from a plurality of other interfaces organized into a single interface. The aggregate status information may be viewed by a nearby user of the lab instrument, and selecting portions of the information via a touchscreen display will navigate directly to a subsequent interface that may be used to view additional information or make configuration changes relating to the selected information. The dashboard may be used as a screensaver on a lab instrument when the instrument is not in use, or may be navigated to by an active user of a lab instrument, or both.

A method and/or system for automated detection and automated remediation of anomalies in Robotic Process Automation (RPA) environment is disclosed. The method comprises auto discovering resources (RPA components and its dependencies) in an RPA platform. The discovered resources are monitored though observation metrics whose values are obtained by executing pre-defined scripts. The obtained values are validated against threshold values to determine if there are any anomalies, wherein the threshold values may either be static values or dynamic values. If there is a breach of threshold, a remediation plan is automatically executed causing the remediation of anomalies. The system is trained to determine the dynamic threshold values through machine learning models which are developed and trained through metrics data and by determining error patterns from the historic unstructured log data.

Systems, methods and computer program products for simulating workflows and activities of physical assets using digital twin models. User-defined simulations are performed by selectin digital twin components being analyzed during the simulation, concentrating the analysis on the selectively defined components and bypassing components that will not be simulated. Users can design the digital twin simulation using one or more available digital twin models. The model can be the most current digital twin model, a previous version of a model or a hybridized model comprising components or portions from multiple versions of the available digital twins. Users can further customize simulations by selecting components or sections of the digital twin model to selectively bypass during the simulation or provide overriding values for non-simulated portions of the digital twin which can be used as entry criteria inputted into the next simulated section or component of the digital twin, to complete the simulation.

Techniques are disclosed for utilizing configurable delays in an instruction stream. A set of instructions to be executed on a set of engines are generated. The set of engines are distributed between a set of hardware elements. A set of configurable delays are inserted into the set of instructions. Each of the set of configurable delays includes an adjustable delay amount that delays an execution of the set of instructions on the set of engines. The adjustable delay amount is adjustable by a runtime application that facilitates the execution of the set of instructions on the set of engines. The runtime application is configured to determine a runtime condition associated with the execution of the set of instructions on the set of engines and to adjust the set of configurable delays based on the runtime condition.

An information handling system includes resistive short detection circuitry that measures a first amount of power provided by a power supply system, and measures a second amount of power drawn by components. The resistive short detection circuitry compares the first amount of power with the second amount of power. In response to first amount of power being greater than the second amount of power, the resistive short detection circuitry determines that a short exists within the information handling system.

A non-transitory computer-readable storage medium storing a program that causes a computer to execute a process, the process includes acquiring information in a log regarding an operating state of a plurality of robots; based on the acquired information in the log, calculating a first load in each time slot related to control of the plurality of robots; when there is a first time slot in which the first load is higher than or equal to a first threshold, extracting a robot that performs a first task, from the plurality of robots, in the first time slot; and changing a time slot for operating the extracted robot.

In general, this disclosure is directed to techniques for utilizing sensors within a computing device to detect a hazardous event and notify a central server that the computing device is potentially damaged. One or more sensors of a computing device may detect the hazardous event to the computing device. Responsive to detecting the hazardous event, the sensors may measure a magnitude of a damage measurand associated with the hazardous event to the computing device. The computing device may determine that the magnitude of the damage measurand exceeds a threshold damage value for the computing device. Responsive to determining that the magnitude of the damage measurand exceeds the threshold damage value, the computing device may send, to a server device, a message indicating the computing device is potentially damaged.