Apparatus and method for controlling and/or monitoring a technical installation for producing and/or processing metal, having an assistant program with at least one interface for connection to application programs, wherein the assistant program receives a request for an item of information relating to the installation from at least one requesting application program via the interface, wherein the assistant program can access a data model that provides a suggestion of which information can be provided by at least one further application program. The assistant program determining, based on the request and on the data model, which application program can provide the requested information, wherein the assistant program transmits the request to the at least one determined application program which can provide the requested information, wherein the assistant program receives a response from the determined application program, and wherein the assistant program outputs the received response to the requesting application program.

Tools and techniques are described to automate line testing when wiring devices (such as equipment and sensors) to controllers. Controllers have access to databases of the devices that are controlled by them, including wiring diagrams and protocols, such that the controller can automatically check that each wire responds correctly to stimulus from the controller. After testing, a reporting device rapidly shows the results of the line testing.

Various embodiments provide for failure mode analysis of a circuit design, which can be used as part of electronic design automation (EDA). In particular, some embodiments provide for failure mode analysis of a circuit design by determining a set of functional primitives of a circuit design component (e.g., cell at gate level) that contribute to a root cause logic for a specific failure mode.

Methods, systems, and non-transitory computer readable storage media are disclosed for generating action recommendations for modifying physical emissions sources based on a plurality of simulations of different scenarios utilizing a modified gradient descent model. Specifically, the disclosed system utilizes the modified gradient descent model to generate emissions value modifications for physical emissions sources corresponding to an entity based on a set of constraints and target emissions values. The disclosed system runs a plurality of simulations to generate modified target emissions values, utilizing the modified gradient descent model, by modifying source attributes of the physical emissions sources according to a plurality of probability distributions representing source attributes of the physical emissions sources. The disclosed system then compares the initial target emissions values to the modified target emissions values determined from the simulations to generate action recommendations for modifying the physical emissions sources.

Systems and methods presented herein include a real-time operations center includes at least one processor and at least one memory medium. The at least one processor is configured to execute computer-readable instructions stored in the at least one memory medium that, when executed by the at least one processor cause the real-time operations center to receive operational data in substantially real-time from equipment that is located at a worksite and that is being monitored by the real-time operations center; perform data analytics on the operational data during operation of the equipment; and provide one or more graphical user interfaces to one or more computing devices, wherein the one or more graphical user interfaces illustrate results of the data analytics. In addition, systems and methods presented herein also include a data analytics kiosk having substantially similar features and configured to display the one or more graphical user interfaces via a display of the data analytics kiosk.

A combined visualization configuration is stored and provided by a visualization manager to a thin client HMI. Based upon the configuration, the thin client HMI accesses individual visualizations from automation components, such as automation controllers, motor controllers, camera, and so forth. Policies may be established for users and their roles, and for particular thin client HMIs, and for particular locations of or around a machine or process being monitored and/or controlled. Based on the policies, the individual visualizations are combined and may be changed if one or more of the factors changes. Interactions with the individual visualizations of the combined visualization result in signals back to the automation components originating the visualizations.

A storage medium storing a screen generation assisting program that causes a computer to execute a process that includes accepting, in an input screen to which information for generating a screen of a first hierarchical level is input, designation of a number of elements of a second hierarchical level that serves as a lower level than the first hierarchical level; associating a first template for generating the screen of the first hierarchical level with second templates for generating a screen of the second hierarchical level; generating the screen of the second hierarchical level by displaying the pieces of data in regions of the second templates; and generating the screen of the first hierarchical level by displaying, in region of the first template that corresponds to the regions of the second templates, a summarized value of the same number of the pieces of data of the second hierarchical level.

A building management system including one or more memory devices and one or more processors, the one or more memory devices configured to store instructions to be executed on the one or more processors, the processors configured to generate a first predictive model using a machine learning technique and an operating data set based on one or more operating parameters associated with at least one of a plurality of BMS subsystems. The processors are further configured to store the first predictive model at a first time interval, to receive a prediction request from a user input at a second time interval following the first time interval, and to retrieve the first predictive model. The one or more processors are further configured execute the retrieved predictive model to generate a first prediction in response to the prediction request; and initiate an automated control response based on the first prediction.

The present disclosure resides in a method for monitoring an automated plant, which has a fieldbus access unit connected with a first communication network, wherein the first communication network has a plurality of field devices and network nodes, wherein a communication driver, which runs in a first frame application, which is implemented in a client computer connected with the fieldbus access unit via a second communication network, queries structure data of network nodes and field devices present in the first communication network, wherein the structure data are generated by the fieldbus access unit in the context of the query by scanning the address space of the network level and determining the network nodes and field devices present in the address space. The present disclosure further resides in a fieldbus access unit and an arrangement, comprising a client computer and a fieldbus access unit.

Provided is a monitoring apparatus comprising: a selection unit configured to select, among a plurality of state values corresponding to measurement values from a plurality of sensors for monitoring states of a plurality of facilities, a state value that has changed by an amount equal to or greater than a predetermined change width or change rate during a predetermined time length period; a sort unit configured to sort at least one state value selected, according to a change width or a change rate; and a display processing unit configured to perform processing to display an information screen corresponding to the at least one state value sorted.