Abstract: A micro grid system comprises a secondary energy source and a power controller. The secondary energy source is associated with the micro grid, and the secondary energy source is configured to generate first DC power signal. The power controller is in communication with the secondary energy source and an electric grid, and configured to receive first AC power signal from the electric grid and the first DC power signal from the secondary energy source and to output a second AC power signal to loads in communication with the power controller. The power controller comprises a frequency converter configured to change frequency of the second AC power signal, a processor, and a memory configured to store instructions that, when executed, cause the processor to control the frequency converter to change the frequency of the second AC power signal.

Abstract: Additive manufacturing systems using artificial intelligence can identify an anomaly in a printed layer of an object from a generated topographical image of the printed layer. The additive manufacturing systems can also use artificial intelligence to determine a correlation between the identified anomaly and one or more print parameters, and adaptively adjust one or more print parameters. The additive manufacturing systems can also use artificial intelligence to optimize one or more printing parameters to achieve desired mechanical, optical and/or electrical properties.

Abstract: A control method according to the present invention is a control method for a drive mechanism in a drive system which causes a mobile body to move by way of the drive mechanism in accordance with an instruction from a master controller, the method including: an abnormality detection step of detecting an abnormal state in which control by the master controller is not possible; a remaining distance calculation step of calculating a remaining distance until a movement limit position in a current movement direction of the mobile body, when having detected an abnormal state in the abnormality detection step; a limit deceleration calculation step of calculating a limit deceleration in which the mobile body can stop in the remaining distance which was calculated in the remaining distance calculation step; and a limit stop control step of controlling the drive mechanism so as to cause the mobile body to stop at a deceleration of at least the limit deceleration.

Abstract: A system comprising a scanning device is operable by a user to scan teeth of the user to acquire images of the teeth. The scanning device comprises a camera operable to acquire the images, a guide configured to orient the camera with respect to the teeth to facilitate acquisition of the images, and a server system configured to receive the images acquired by the scanning device and to develop a treatment plan for the user based on the received images.

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: An apparatus capable of attaching a maintenance part that needs replacement accompanying use, the apparatus including: a storage unit configured to store at least one or more patterns of a prediction equation of a life of the maintenance part in a storage device; a prediction unit configured to predict a life of the maintenance part by applying one of prediction equations stored in the storage unit; and a transmission unit configured to transmit predetermined information relating to the maintenance part to a management apparatus that manages information relating to a life of the maintenance part, and the transmission unit includes identification information on a prediction equation currently being applied to a prediction of a life of the maintenance part in the predetermined information that is transmitted to the management apparatus.

Abstract: Described herein are, among others, systems and methods associated with electrical test planning in a semiconductor manufacturing context. Within an electrical test planning system in the semiconductor industry, various models that allow a better utilization of installed capacity were developed. The workflow in the plant and the information flow in the electrical test planning area were analyzed to reduce or minimize setup times on the equipment. A paradigm shift is disclosed, with which planning is done at the product family level instead of at the level of the part number, starting with priority products required by the market.

Abstract: A generalization and encapsulation method based on a digital twin (DT) model of a workshop includes: classifying a device in a production line according to a basic operation and a functional characteristic of a process of the device; abstracting a commonality in terms of process action mode, process algorithm and action trigger mechanism; encapsulating according to a sequence characteristic of a process; comparing processes, and generalizing and encapsulating; encapsulating according to a time sequence, a space sequence and a logic characteristic of a specific process; storing a generalized and encapsulated process in a database; and calling the generalized and encapsulated process from the database to a device or a process. The generalization and encapsulation system includes an abstract process encapsulation module, a continuous process encapsulation module, a process action encapsulation module, a process algorithm encapsulation module, a database and a fast calling module.

Abstract: A computer-based method for automated hazard detection for a technical system, the method includes the step of selecting an output failure mode of a component of a component fault tree of the technical system as a top level hazard. The computer-based method includes the step of generating a hazard information tree by means of a subtree of the component fault tree, wherein the subtree is selected by means of the top level hazard, wherein the subtree is modified by removing predefined nodes from the subtree and by enhancing output failure modes of the subtree with information from which component the output failure modes originate, wherein the modified subtree is saved in a memory unit as hazard information tree. The computer-based method includes the step of evaluating the hazard information tree, and providing a control signal comprising a result of the evaluation.

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: A control apparatus characterized by including: a storage unit that stores operation management information; an application executing unit that transmits a signal for turning off the power source of a field instrument; a resetting unit that, based on the signal, instructs to suspend the power supply from the input/output modules; and an activating unit that instructs to resume the power supply from the input/output modules, based on an elapse of preset time during which the power supply from the input/output modules should be suspended.

Abstract: A thermostat for a building space includes a communications interface, an electronic display, and a processing circuit. The communications interface is configured to receive service provider information via a network connection. The electronic display includes a user interface configured to display the service provider information. The processing circuit is configured to determine when to display the service provider information on the electronic display by monitoring thermostat events.

Abstract: A controller of a material handling system performs a method of creating a multidrop pattern of articles for robotic placement in layers on a pallet. A pattern is presented on a user interface of any currently positioned representations of articles on a pallet. A control affordance for inputting drag'n'drop and numeric inputs is presented on the user interface for robotic control operations to perform a multidrop of the more than one article in an end effector of a robotic arm for placement of the more than one article. User inputs are received that indicate placement position of a first subset of the more than one article. User inputs are received that indicate placement position of a second subset, which is mutually exclusive of the first subset, of the more than one article. The user inputs are converted into a place sequence of robotic control operations to perform a multidrop of the articles by the robotic arm.

Abstract: A method is provided that includes monitoring a process of manufacturing a composite structure that includes introducing a matrix material to a reinforcement material, applying the reinforcement material into a mold cavity or onto a mold surface with a first machine tool, subjecting the matrix material to a melding event with a second machine tool, and inspecting the composite structure. Data including at least one of first measurement data, error data or second measurement data is determined, and an analysis of the data is performed to summarize the data and thereby produce feedback data including a summary of the data. At least one of the process, the first machine tool or the second machine tool is adjusted based on feedback including the summary, and for manufacture of a next composite structure.

Abstract: The present invention provides a method, a program, and a device that can accurately learn a causal relationship in a deterministic system and a system that performs anomaly analysis by using the causal relationship. A causal relationship learning device according to one example embodiment of the present invention includes: a correlation determination unit that determines a correlation between measurement values measured by two sensors; and a low correlation causal relationship estimation unit that, when the correlation is lower than a predetermined reference, determines a causal relationship between the two sensors by estimating one of the measurement values which is a cause from the other of the measurement values which is a result.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for energy reduction are disclosed. In one aspect, a method includes the actions of receiving data from a thermostat, an HVAC system, and one or more temperature sensors associated with a property. The actions further include generating an HVAC performance model based on the received data from the thermostat, the HVAC system, and the one or more temperature sensors associated with the property. The actions further include receiving user data indicating user presence and user preferences. The actions further include identifying an energy penalty score. The actions further include receiving weather data. The actions further include creating an energy routine based on the HVAC performance model, the user data, the identified energy penalty score, and the received weather data. The actions further include transmitting an instruction including the energy routine to one or more devices.

Abstract: Because the touch temperature of a wearable computing device (“WCD”) may be an insignificant factor for user experience when the WCD is not being worn by a user, embodiments of the solution seek to modify thermal management policies based on an inferred user proximity state. Exemplary embodiments monitor one or more signals from readily available sensors in the WCD that have primary purposes other than measuring user proximity. Depending on embodiment, the sensors may be selected from a group consisting of a heart rate monitor, a pulse monitor, an O2 sensor, a bio-impedance sensor, a gyroscope, an accelerometer, a temperature sensor, a pressure sensor, a capacitive sensor, a resistive sensor and a light sensor. Using the signals generated by such sensors, relative physical proximity of the WCD to a user may be inferred and, based on the user proximity state, thermal policies either relaxed or tightened.

Abstract: A facility for performing setpoint adjustment-based duty cycling techniques by adjusting the setpoint of a device or component is described. The facility reduces energy consumption for a system, such as an HVAC system, or device by adjusting or modulating an associated setpoint or temperature setting. The facility modulates the setpoint between a base setpoint value and another setpoint value based on a mode of the system. When the system is in a cooling mode, the facility modulates the temperature between the base setpoint value and a higher setpoint value. When the system is in heating mode, the facility modulates the temperature between the base setpoint value and a lower setpoint value. The facility may modulate the setpoint between the two setpoint values based on an offset value or a fixed setpoint value.

Abstract: A system includes a flexible datacenter and a power generation unit that generates power on an intermittent basis. The flexible datacenter is coupled to both the power generation unit and grid power through a local station. By various methods, a control system may detect a transition of the power generation unit into a stand-down mode and selectively direct grid power delivery to always-on systems in the flexible datacenter.

Abstract: Example embodiments for providing computation resource availability based on power-generation signals are presented herein. An embodiment may involve receive information indicative of power-generation economic signals at a first control system and identifying at least one of: (i) a change in a power-generation economic signal that exceeds a predefined threshold change, (ii) a power-generation economic signal that is below a predefined lower threshold limit, or (iii) a power-generation economic signal that is above a predefined upper threshold limit. Responsive to the identification, the embodiment involves performing at least one of: (i) adjusting a rate of power use by a flexible datacenter, and (ii) providing an indication of computation resource availability to a second control system.