Abstract: A microgrid comprises an electric vehicle battery storage system that supplies a first DC signal, a bus bar that receives the first DC signal and provides a combined DC signal, a frequency variable and/or voltage variable inverter that receives the combined DC signal, converts, responsive to one or more control signals, the combined DC signal into a first AC signal having variable frequency and/or variable voltage, and provides the first AC signal having the variable frequency and/or voltage to the electrical loads of the facility, and a DC to AC that receives, responsive to the one or more control signals, the combined DC signal from the bus bar, and converts the combined DC signal to a second AC signal.

Abstract: A system for automatically generating trajectories of an object includes a trajectory generation module comprising a visual control algorithm and a processor configured via computer executable instructions to receive raw three dimensional (3-D) sensor data of an object, create a 3-D model of the object based on the raw 3-D sensor data, extract object features relating to a shape and/or surface from the 3-D model of the object, and generate trajectories based on the object features of the 3-D model of the object.

Abstract: The PLC is provided that outputs assistance information for assisting elimination of a target abnormality by using abnormality history data having written thereto an abnormality log element containing type information, occurrence time, and elimination time of an abnormality and operation history data having written thereto an operation log element containing content information and execution time of an operation. The output unit extracts, from the abnormality history data, an abnormality log element containing the type information showing a type identical to a type of the target abnormality. The output unit extracts, from the operation history data, an operation log element containing the execution time falling within a period from the occurrence time to the elimination time contained in the abnormality log element thus extracted, and generates the assistance information based on the extracted operation log element.

Abstract: A user interface for a beer recipe creator may have a series of icons that may represent ingredients. A user may drag and drop or otherwise add the icons to containers on a display screen to add or remove ingredients to the recipe. With each added or removed ingredient, a set of descriptors may be updated. The descriptors may include numerical values of beer parameters as well as textual descriptions and visual descriptions. The system may allow a user to start with a desired beer style, and the parameters may show variances from the selected style. The system may generate an ingredients list, as well as a brewing recipe that may be transferred to a controller for a beer making machine. The system may adjust certain parameters that are controllable by the beer making machine to make flavor and other adjustments selected by a user.

Abstract: An industrial integrated development environment (IDE) supports collaborative tools that allow multiple designers and programmers to remotely submit design input to the same automation system project in parallel while maintaining project consistency. These collaborative features can include, for example, brokering between different sets of design input directed to the same portion of the system project, generating notifications to remote designers when a portion of the system project is modified, sharing of development interfaces or environments, facilitating involvement of outside technical support experts to assist with design issues, and other collaborative features.

Abstract: Systems, methods, and media for additive manufacturing are provided. In some embodiments, an additive manufacturing system comprises: a hardware processor that is configured to: receive a captured image; apply a trained failure classifier to a low-resolution version of the captured image; determine that a non-recoverable failure is not present in the printed layer of the object; generate a cropped version of the low-resolution version of the captured image; apply a trained binary error classifier to the cropped version of the low-resolution version of the captured image; determine that an error is present in the printed layer of the object; apply a trained extrusion classifier to the captured image, wherein the trained extrusion classifier generates an extrusion quality score; and adjust a value of a parameter of the print head based on the extrusion quality score to print a subsequent layer of the printed object.

Abstract: A method for handling a simultaneous failure of all channels of a multi-channel engine controller configured to control operation of a gas turbine engine is provided. The method includes obtaining, by a first processor associated with a first channel of the engine controller, data indicative of the simultaneous failure of all channels of the engine controller. The method further includes providing, by the first processor, one or more control signals associated with resetting at least a second processor associated with a second channel of the multi-channel engine controller based, at least in part, on the data. Furthermore, the method includes controlling, by the first processor, operation of the gas turbine engine while at least the second processor is resetting.

Abstract: A method for validating an Ethernet configuration of an automation system including several industrial devices, the method includes obtaining a device identifier for each of the industrial devices and indications of device ports and of device port connections. The method further includes obtaining device Ethernet parameters and instantiating a system object model of the Ethernet configuration of the automation system based on the device identifiers, the device ports and device port connections and the Ethernet parameters. The system object model allows applying predefined rules for generating a graph model representative of the Ethernet configuration. To the generated graph model cycle detection as known from graph theory may be applied by means of depth-first search. Based on the outcome of the cycle detection a validation result may be indicated. A generic Ethernet object model and a topology manager also are disclosed.

Abstract: A server that is a program providing device includes: a provision processing unit that provides a program part constituting a control program being a program to be executed in a controller; an authentication unit that authenticates an operation simulation module being a program for simulatively performing operation in accordance with the program part on a basis of a result of verification on whether or not the operation simulation module can simulate operation of the controller to be performed by execution of the program part; and an operation checking unit that checks operation of the program part by using the authenticated operation simulation module.

Abstract: A manufacturing control system for an additive, subtractive, or hybrid machining system implements in situ part inspection to collect as-built metrology data for a manufactured part while the part remains in the work envelop, and uses the resulting measured inspection data to generate an as-built digital twin that accurately models the finished part. After execution of a subtractive and/or additive tooling operation, the system performs a sensor scan to collect three-dimensional imaging measurement data for the resulting manufactured part while the part remains in the work cell. The measurement data is then integrated with as-designed part metadata for the idealized part to yield the as-built digital twin. Since metrology measurements are integrated into the manufacturing process, customized as-built digital twins can be generated for each manufactured part without requiring manual inspections to be performed on each part.

Abstract: An information processing device includes: a memory; and a processor coupled to the memory and configured to: learn a classification rule that classifies an abnormal degree of a production facility from a text feature amount based on the text feature amount obtained from a number of texts included in a plurality of pieces of log data obtained in a predetermined process of the production facility and production history information of the production facility; extract a text feature amount of log data to be monitored obtained in the predetermined process of the production facility; and determine an abnormal degree of the production facility when the log data to be monitored is obtained based on the text feature amount and the classification rule.

Abstract: A method is provided for automatically or semi-automatically analyzing process hazards and validating protection mechanisms for an industrial process. The method can involve establishing communication between a simulation tool and a process hazard analysis tool. The simulation tool simulates operation of the process according to a process model. The method can further involve creating, using the process hazard analysis tool, conditions for hazards in the process based on information learned about the industrial process from the simulation tool; for each of the hazards, simulating the hazards using the simulation tool and attempting to prevent the hazards using the process hazard analysis tool by introducing protective mechanism(s) to the process; and evaluating effectiveness of the introduced protective mechanisms for each of the hazards and creating safety requirements for the process based on the evaluated effectiveness.

Abstract: “Smart” controllers for windows having controllable optical transitions are described. Controllers with multiple features can sense and adapt to local environmental conditions. Controllers described herein can be integrated with a building management system (BMS) to greatly enhance the BMS's effectiveness at managing local environments in a building. The controllers may have one, two, three or more functions such as powering a smart window, determining the percent transmittance, size, and/or temperature of a smart window, providing wireless communication between the controller and a separate communication node, etc.

Abstract: A robot management system includes a control device including a robot control section configured to control a robot, a program storing section configured to store a program for controlling the robot, and a backup generating section configured to generate backup data of the program and a managing device coupled to the control device and configured to manage the control device. The managing device includes an acquiring section configured to acquire generation time when the backup generating section generates the backup data and a display control section configured to, when a difference between the generation time and present time is equal to or larger than a first predetermined value, cause a display section to display notification content.

Abstract: An interface integration method of AGV job automatic scheduling system and MES system includes an AGV job automatic scheduling system unit, an MES system unit and a data transmission and processing unit. The data transmission and processing unit performs interface integration through a data dictionary which includes multiple data sets. Based on the standardized data dictionary integration method, the relevant data in the manufacturing process in the factory are classified and stored in the above-mentioned multiple data sets, respectively, which can greatly reduce the non-standard customization characteristics of data that need to be mutually integrated when the interface of the MES system unit is integrated with the interface of the AGV job automatic scheduling system unit, thereby facilitating the seamless and standardized integration of the MES system and the AGV system in the manufacturing process in digital workshops or smart factories, and enabling interconnection and interoperability.

Abstract: An industrial analytic system includes a device interface component. The device interface component is configured to collect data from a plurality of analytic appliances and transfer the data to an analytic component. Each of the plurality of analytic appliances is configured to collect data from a respective set of devices of a plurality of sets of devices. The plurality of sets of devices perform a plurality of operations in one or more industrial systems.

Abstract: A method of generating a hybrid model predictive control (MPC) simulation model for a plant configured to run a process that processes at least one raw material to generate at least one tangible product. A predictive dynamic MPC sub-model is provided for each of plurality of process units in the plant, the plant including at least one process controller coupled to field devices coupled to the plurality of process units, where the process units comprise equipment for converting the raw material or an intermediate material formed from the raw material into to another material. A piping network diagram is obtained that provides a representation of a piping network for routing of the raw material and the intermediate material during the process. The dynamic MPC sub-models are coupled together using the piping network to generate the hybrid MPC simulation model which models the plant as a whole.

Abstract: Embodiments disclosed herein include a method for auto-tuning a system. In an embodiment, the method comprises determining if the system is in a steady state. Thereafter, the method includes exciting the system. In an embodiment, the method comprises storing process feedback measurements from the excited system to provide a set of stored data. In an embodiment, the set of stored data is a subset of all available data generated by the excited system. In an embodiment, the method further comprises determining when the excited system returns to the steady state, and tuning the system using the set of stored data.

Abstract: A system may automatically control a pipeline heating system to maintain a desired temperature and/or to provide flow assurance of process fluid along a pipeline. The system may identify the occurrence and location of the solidification of a given process fluid or the melting of the given process fluid by monitoring temperatures along the pipeline and identifying from the monitored temperatures the occurrence and location of a latent heat signature associated with the solidification or melting of the given process fluid. The system may calculate and display fill percentages of the solidified process fluid at locations along the pipeline. The system may determine the percentage of a given section of pipeline that is filled with solid and/or liquid process fluid on a meter-by-meter basis. The system may perform automated re-melt operations to resolve plugs of solidified process fluid that may occur in the pipeline.

Abstract: A production management device, such as a production management computer, determines a production sequence of plural types of substrates in order to produce the substrates consecutively on a product type-by-type basis by using a component mounter including component supply devices. The production management device includes a main control unit for determining a production sequence of substrates such that, where a time from start to completion of off-line setup of all the component supply devices to be used for a single product type of substrate is defined as an off-line setup time, a sum of the off-line setup times for two product types of substrates to be consecutively produced is balanced over an entire period of consecutive production.