A system and method for displaying a combination of automation data collected from one or more assets and analog data collected from a system or element related to the assets can be simultaneously displayed on the display screen in a plurality of concurrently displayed cycle displays. In response to a user input to the display screen, the data display is dynamically manipulated to display varying numbers of operating cycles of the assets and the associated analog data collected in real time with the performance of the operating cycles, such that patterns and/or correlations between the analog data and automation data over a displayed timeline can be viewed and analyzed. The automation data is visually differentiated to indicate a condition state of the operating cycle and assets in real time.

The real time capability is to be improved in a Cloud-based control system for an automation plant. To this end, a redundantly embodied, Cloud-based control system with a plurality of computing resources distributed over a network with control applications running thereon is proposed, which, embodied as a primary and backups, execute a control program almost simultaneously and send corresponding program instructions to the automation plant. Long transmission times of individual computing resources therefore do not have a negative effect on the control of the automation plant.

Embodiments of this present disclosure may include systems that perform operations including receiving a first symbol instance from an industrial automation device. The first template object instance may characterize a dataset accessible to the industrial automation device. Symbol object instances may inherit a categorization with respect to categories associated with the industrial automation device including an identity, a state, a runtime status, a maintenance status, sustainability information, or any combination thereof. The operations may include identifying a type of the industrial automation device based on the first symbol instance and generating template data based on the type of the industrial automation device and the first symbol instance. The template data may include values associated with the dataset and the categories associated with the first symbol instance. The operations may also include sending a control signal to the industrial automation device based on the template data.

A partially assembled vehicle that autonomously completes its own assembly, including a chassis, wheels that are rotationally coupled to the chassis, a drive system mounted on the chassis and in operational communication with the wheels, a navigation system, a central platform controller, and a position determining system. Added thereto is a safety sensor guidance system and a controller circuit programmed to begin a temporary takeover of the central platform controller, responsive to an external fleet control. The temporary takeover including the steps of identifying a plurality of assembly stations that the partially assembled vehicle must visit to complete its own assembly; constructing a sequence in which to visit each of the plurality of assembly stations; and commanding the drive system to propel and steer the partially assembled vehicle through the sequence of the plurality of assembly stations, responsive to sensor input from the safety sensor guidance system.

A non-transitory computer-readable medium includes instructions that, when executed, cause one or more processors of a first electronic device to receive data generated by a plurality of components of an industrial automation system and characterize one or more portions of the data by applying metadata to the one or more portions of the data. The metadata enables a second electronic device receiving the data to determine one or more contexts of the one or more portions of the data. Furthermore, the computer-executable instructions, when executed, cause the one or more processors to rearrange an order of the one or more portions of the data and cause the characterized and rearranged data to be sent to the second electronic device.

An industrial internet of things system for intelligent production control is provided, comprising: a user platform, a service platform, a management platform, a sensor network platform, and an object platform. The user platform modifies production line parameters based on an instruction of the user, generates a first instruction, and sends it to the management platform through the transformation of the service platform. The object platform collects production link data of each production link of products and transmits it to the management platform. The management platform modifies work order parameters based on a second instruction transformed by the service platform, generates a third instruction, and determines whether devices corresponding to the plurality of production links are abnormal based on the production link data. The management platform sends the third instruction and the judgment result to the object platform through the sensor network platform to control manufacturing and production line data collection.

A computer-implemented method for detecting an anomaly in a technical system. The method includes detecting an environment state vector and a system state vector, the environment state vector including at least one first value which characterizes a physical environment condition or a physical operating condition of the technical system, and the system state vector including at least one second value which characterizes a physical condition of the technical system; ascertaining, using an environment anomaly model, an environment value which characterizes a probability or a probability density value with which the environment state vector occurs; ascertaining, using a system anomaly model, a system value which characterizes a conditional probability or a conditional probability density value with which the system state vector occurs if the environment state vector occurs; signaling the presence of an anomaly or signaling the absence of an anomaly based on the environment value and/or the system value.

A layered industrial analytics architecture enables the flow of information from intelligent assets into tools and engines that perform analytics and enable decision-making in substantially real-time. The analytics architecture comprises analytic nodes that are distributed across multiple layers of an industrial enterprise, and includes system features that optimize movement of data across this layered architecture. Each analytic node includes base architectural constructs that host various analytic, data acquisition, and storage elements. These base constructs can operate autonomously, or in conjunction with other instances of base constructs or other elements of the control system. The system design uses a multi-platform compatible implementation that allows the base elements to be deployed on various different computing platforms.

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.

Provided herein are systems, methods, and software to facilitate automatic generation of type-based reporting model and reports associated with an industrial automation environment. In one implementation, one or more computer-readable storage media have program instructions stored thereon, wherein the program instructions, when executed by a computing system, direct the computing system to at least access a source of data containing information related to operation of a system and identify at least one object in the information related to a data property. The program instructions also direct the computing system to create an asset definition of the at least one object, instantiate a model of the at least one object in an asset model based on the asset definition, and generate a report comprising an aspect of the model based on the data property.