The present disclosure provides a computer-implemented method for prioritizing one or more instructional control strategies to reduce time-variant energy demand of a built environment associated with renewable energy sources. The computer-implemented method includes collection of a first set of statistical data, fetching of a second set of statistical data, accumulation of a third set of statistical data, reception of a fourth set of statistical data and gathering of fifth set of statistical data. Further, the computer-implemented method includes parsing and comparison of the first set of statistical data, the second set of statistical data, the third set of statistical data, the fourth set of statistical data and the fifth set of statistical data. In addition, the computer-implemented method includes identification and prioritization of one or more instructional control strategies to reduce the time-variant energy demand associated with the built environment.

A method for controlling an automation system (1) comprising: rendering, by a processor, an image (16, 22, 40) from a three-dimensional scene representing at least part of the automation system (1) on the basis of position data and viewing direction data, displaying the image (16, 22, 40) on a display unit (10), wherein the automation system (1) comprises a plurality of components (2, 4, 18, 20), wherein a tree structure (24) is stored in a data memory in which nodes (28, 30, 32, 34) are assigned to the components (2, 4, 18, 20) of the automation system (1), is to process and display all details necessary for the tasks of controlling an automation system and on the other hand minimize the required computing capacity. For this purpose, a focus component is determined, and from the scene only those components (2, 4, 18, 20) of the part of the automation system (1) are loaded into the processor for rendering whose assigned nodes (28, 30, 32, 34) in the tree structure (24) have only a predetermined maximum distance from the node (28, 30, 32, 34) assigned to the focus component.

A manufacturing device monitoring system includes a plurality of manufacturing devices and a remote monitoring device. The manufacturing device includes a work unit, an equipment notifier, an error detector, and an error notifier. The error notifier determines whether or not an error detected by the error detector may be corrected by an operation from the remote monitoring device, notifies the remote monitoring device of the occurrence of the error in a case where the error can be corrected, and operates the equipment notifier to notify a first notification pattern in a case where the error cannot be corrected.

Provided is an electric machine health monitoring system that includes an electric machine, a data acquisition component, a local transmitter, a communications network, and a remote diagnostic unit that is configured to receive the time sequenced operational information, asset performance, and health status indicators from a local transmitter. The remote computational unit comprises software that is configured to perform diagnostic analysis of time sequenced operational information to determine the asset performance and health status of the electric machines.

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.

Methods and systems for facilitating manufacturing and, in particular, methods and systems that run at least one driver on at least one containerized processing unit to provide communication with at least one piece of machinery. By interfacing with existing machinery and running the driver(s) on a containerized processing unit, an operator is able to modify at least one operational parameter related to the at least one piece of machinery without risk of affecting the stability of other parts of the system.

Embodiments disclosed herein provide systems, methods, and computer-readable media to facilitate testing user-selectable functions on a user interface of a computing device, wherein a piezoelectric grid comprising piezoelectric material that deforms upon application of electricity is installed onto a surface of the user interface of the computing device. In a particular embodiment, a method provides generating a control mapping of areas of the piezoelectric grid to locations on the user interface of the computing device. The method further provides receiving test instructions comprising actuation information for a targeted portion of the user interface of the computing device. The method further provides processing the test instructions and the control mapping to determine control signals for the piezoelectric grid to implement the test instructions, and transmitting the control signals to the piezoelectric grid to actuate the targeted portion of the user interface of the computing device.

Methods, systems, and apparatuses relating to augmented-reality interfaces. Features of the present invention rely on robust touch detection methods, touch detection methods, calibration methods, and integrated projector and sensor apparatuses.

Methods and systems for monitoring tool device usage and, in particular, methods and systems including at least one sensor mechanism configured to detect at least one operational parameter of the tool device. Information regarding usage of the tool device may be communicated to a processing unit and further communicated to a network-connected storage and/or to a display device.

An operator defines a process, such as a process for the manufacturing of a product, using templates that may be edited graphically. Each process includes a set of steps that a user must perform in order to accomplish the process. Each step in the process may be associated with one or more pieces of machinery on the floor to achieve the execution of the process, either in advance or at execution time. Each step may also provide various forms of instruction, monitoring, and feedback to aid the user of the associated machinery in performing the process. Data may be collected regarding the user's performance, analyzed, and used to inform the operator who may in turn edit the process with the goal of improving its execution.