Abstract: The present disclosure describes a sensor system for measuring a process value of a physical system, including: a plurality of sensors, wherein each sensor is configured to generate a sense signal as a function of the process value at a given time; a system state corrector configured to determine an actual system state of the physical system at a given state update cycle; a system state predictor configured to determine a predicted system state of the physical system at a given prediction cycle from a previous system state at a previous state update cycle; a sense signal predictor configured to determine predicted sense signals at the given prediction cycle from the predicted system state by applying a first operation to the predicted system state using a sense signal model of the physical system for predicting the sense signals.

Abstract: A system includes a first renewable energy source (RES) configured to provide electrical energy; a first circuit comprising a first energy storage system (ESS) and a point of interconnection (POI) coupled to a power grid; a second circuit comprising a second ESS and a source-sensitive destination; and a first switch configured to selectively connect one of the first circuit or the second circuit to the first RES.

Abstract: A comfort sensation calculation unit quantitatively calculates comfort sensation of an occupant from an RRI of the occupant A, and a target control value of a thermal environment control device is set based on the comfort sensation of the occupant. Therefore, it is possible to achieve air conditioning control that reflects the comfort sensation of the occupant. When a signal output from the comfort sensation calculation unit and a signal output from the occupant thermal sensation calculation unit do not correspond to each other, the signal output from the comfort sensation calculation unit is corrected, and the target control value is determined.

Abstract: An apparatus for combustion optimization is provided. The apparatus for combustion optimization includes a management layer configured to collect currently measured real-time data for boiler combustion, and to determine whether to perform combustion optimization and whether to tune a combustion model and a combustion controller by analyzing the collected real-time data, a data layer configured to derive learning data necessary for designing the combustion model and the combustion controller from the real-time data and previously measured past data for the boiler combustion, a model layer configured to generate the combustion model and the combustion controller through the learning data, and an optimal layer configured to calculate a target value for the combustion optimization by using the combustion model and the combustion controller, and to output a control signal according to the calculated target value.

Abstract: This system is directed to a computerized system for development of textiles with modified physical properties through stitching and can include a set of non-transitory computer readable instructions configured for: receiving a design pattern representing desired physical properties of a textile having a higher stiffness area and a lower stiffness area; developing a contiguous stitching pattern constrained by a pattern perimeter boundary and having a continuous stitching path, developing a first stiffness area within the contiguous stitching pattern having a first area of density, developing a second stiffness area within the contiguous stitching pattern having a second area of density wherein the first area of density has more stitch density than the second area of density, and transmitting the contiguous stitching pattern to an embroidery machine configured to provide a textile having the contiguous stitching pattern incorporating into the textile.

Abstract: Control loop latency can be accounted for in predicting positions of micro-objects being moved by using a hybrid model that includes both at least one physics-based model and machine-learning models. The models are combined using gradient boosting, with a model created during at least one of the stages being fitted based on residuals calculated during a previous stage based on comparison to training data. The loss function for each stage is selected based on the model being created. The hybrid model is evaluated with data extrapolated and interpolated from the training data to prevent overfitting and ensure the hybrid model has sufficient predictive ability. By including both physics-based and machine-learning models, the hybrid model can account for both deterministic and stochastic components involved in the movement of the micro-objects, thus increasing the accuracy and throughput of the micro-assembly.

Abstract: Disclosed are a data sending method, a multi-connected system, an electronic device and a storage medium. The method includes: receiving data sent by a first specified line controller in a system; determining a specified device corresponding to the first specified line controller according to a pre-stored pairing relationship between the first specified line controller and a specified device and the first specified line controller, wherein the specified device includes an indoor unit and a second specified line controller, wherein the second specified line controller is different from the first specified line controller; and sending the data to the determined specified device. A plurality of line controllers can control one indoor unit.

Abstract: A method, a device and a system for networking air conditioning units, a storage medium, and a processor. The method includes: determining a wireless network for networking an air conditioning unit of the air conditioning unit, and an identification of the wireless network; and controlling the air conditioning unit to network according to the wireless network and the identification.

Abstract: A heating, ventilation, or air conditioning (HVAC) system for a building includes airside HVAC equipment configured to provide heating or cooling to one or more building spaces and one or more controllers. The one or more controllers are configured to generate airside energy targets for the one or more building spaces using a heat transfer model that defines a relationship between the airside energy targets, a temperature of the one or more building spaces, and a thermal capacitance of the one or more building spaces. The one or more controllers are configured to control the airside HVAC equipment in accordance with the airside energy targets.

Abstract: An automatic racket stringing system includes: two lens modules, respectively shooting a racket thread hole on a racket at a first preset position from different two angles, and the lens modules are based on the angles and determine a first relative coordinate of the racket line hole through a triangulation method; and a control unit controls a robotic arm to grab the racket from an initial position and move the racket to the first preset position; the control unit controls the robotic arm to a second preset position clamps a first end of a racket line, and when the first end of the racket line extends a preset length, it is cut by the robotic arm.

Abstract: In an embodiment, a gate control device includes a communication interface to receive first biometric information from a first gate device at an entrance and second biometric information from a second gate device at an exit. A storage unit stores the first biometric information. A processor is configured to cause the received first biometric information to be stored in the storage unit, transmit an opening instruction to the first gate device via the communication interface once the first biometric information has been stored in the storage unit, and, when the second biometric information is received via the communication interface, compare the second biometric information to the first biometric information stored in the storage unit to determine if the received second biometric information matches the stored first biometric information, then transmit an opening instruction to the second gate device if the received second biometric information matches the stored biometric information.

Abstract: A method for diagnosing faults includes receiving a system description of a thermal hydraulic system, the system description indicating a plurality of components and sensors. The method also includes constructing, based on physical conservations laws and using the system description, a plurality of physics-based models for the plurality of components, each of the plurality of physics-based models including unknown parameters. The method further includes receiving historical measurements and calibrating the physics-based models by calculating the unknown parameters of each of the physics-based models using the historical measurements to produce calibrated models. The method also includes receiving sensor measurements of the sensors, and calculating residuals corresponding to differences between measurements predicted by the plurality of calibrated models and the sensor measurements.

Abstract: The present inventors have determined that implementation of an authentication process which can be selectively applied to safeguard parameters which modify dispensing of particulate material during agricultural operations can advantageously allow users of varying levels of experience and understanding to maintain ease of conducting field operations while reducing the possibility of waste and expense. A control system can determine a level of access for an operator or user on an individual basis. Upon determining a level of access for the operator to be sufficient for modifying a parameter, the control system can apply an input from the operator to modify the parameter, and can accordingly adjust dispensing of particulate material.

Abstract: A three-dimensional (3D) metal object manufacturing apparatus selects operational parameters for operation of the printer to form conductive metal traces on substrates with dimensions within appropriate tolerances and with sufficient conductive material to carry electrical currents without burning up or becoming too hot. The apparatus identifies the material of the substrate and the bulk metal being melted for ejection and uses this identification data to select the operational parameters. Thus, the apparatus can form conductive traces and circuits on a wide range of substrate materials including polymeric substrates, semiconductor materials, oxide layers on semiconductor materials, glass, and other crystalline materials.

Abstract: To provide a spot welding system of high reliability which, when an abnormality such as a spot missing in spot welding occurs, is capable of more precisely and accurately detecting this immediately. Provided are a robot-side system having a robot and a robot-side control unit which controls driving of the robot; and a welder-side system having a welding gun mounted to the robot, and a welder-side control unit, in which the robot-side system includes: a storage unit which stores in advance a required welding time needed in a spot welding operation of one location or a plurality of spot welding operations; a welding time measurement unit which measures an actual time from when a welding start command is outputted until receiving a welding completion command; and a comparative determination unit which determines quality by comparing the required welding time stored in the storage unit and the actual welding time measured by the welding time measurement unit.

Abstract: A manufacturing process for physical components can be optimized using some techniques described herein. For example, a system can receive, via a graphical user interface, a user selection of a particular type of production location. The system can determine a cumulative consumption of a component at the particular type of production location over a particular time window. The system can analyze a group of candidate types of production equipment to identify a particular type of production equipment that can accommodate the cumulative consumption of the component during the particular time window. And the system can execute one or more computing operations configured to facilitate deployment of the particular type of production equipment at the particular type of production location.

Abstract: Systems and methods for autonomously regulating grid edge devices (GEDs) are disclosed. In one embodiment, a method may include obtaining a first setpoint voltage for a GED. The GED may be implemented on a secondary side of a distribution line providing electricity for a consumer. The method may also include generating an average VAR value based on VARs generated by the GED over a first time interval. The method may include generating an average voltage value based on voltage received by the GED over a first time interval. The method may include adjusting the first setpoint voltage to a second setpoint voltage based on a difference between the average voltage value and the first setpoint voltage exceeding a voltage threshold value.

Abstract: A method for controlling one or more scent delivery units includes maintaining one or more scheduled events, maintaining one or more scheduled anti-events, and generating, based on the one or more scheduled events and the one or more scheduled anti-events, command data to be communicated to the one or more scent delivery units to control their activation and deactivation. Generating the command data includes identifying a conflicting period of time during which control specified by the one or more scheduled events differs from control specified by the one or more scheduled anti-events and also includes generating command data that gives priority to control specified by the one or more scheduled anti-events. Control for the one or more scent delivery units during the conflicting period of time is in accordance with control logic of the one or more scheduled anti-events and not the one or more scheduled events.

Abstract: A system to receive data representing agronomic responses based on randomized replicated treatments conducted in test plots of agronomic environments, aggregate the data representing the agronomic responses into subsets of the data representing the agronomic responses, each subset of the data representing the agronomic responses associated with one of a number of performance zones, receive characteristics associated with a portion of a field and determine that the portion of the field represents a particular performance zone of the number of performance zones based on the characteristics associated with the portion of the field, recommend a particularized treatment level for a crop located in the portion of the field based on the particular performance zone, and communicate the particularized treatment level to a machine, the particularized treatment level to be applied to the portion of the field by the machine to optimize an agronomic response based on the particular performance zone.

Abstract: Various examples of the present technology disclose a self-contained and programmable Processing Probe Apparatus (PPA) that can measure processing properties of a processing tool. The PPA comprises one or more sensors, an analog-to-digital converter and information (ADCI) processor, an electrical power source (EPS), and a digital signal communication device, all of which are attached to a flexible film. The flexible film can be mounted on a substrate that mimics a semiconductor workpiece.