Abstract: A distribution grid management apparatus that is a power generation amount estimation apparatus includes a communication unit to acquire a solar radiation amount that is a measurement value measured by a solar radiation meter at an interval shorter than a data collection interval that is an interval at which a measurement value from a smart meter that measures the amount of electric power is collected; and a power generation amount calculation unit to estimate, on the basis of the solar radiation amount, the power generation amount of each of a plurality of photovoltaic facilities connected to a distribution line of a high-voltage grid.

Abstract: An HVAC system includes a blower configured to provide a flow of air into a conditioned space. A temperature sensor measures a discharge air temperature of the flow of air provided to the conditioned space. A controller of the HVAC system determines that heating or cooling mode operation is not requested. Following this determination, the blower provides the flow of air at a predefined flow rate. The controller determines that the measured discharge air temperature satisfies predefined stability criteria associated with a change in the discharge air temperature during the first period of time being less than a threshold value. If the stability criteria are satisfied, a temperature offset is determined between the discharge air temperature and an indoor temperature. The temperature offset is stored in a lookup table such that the temperature offset is associated with the flow rate of air provided by the blower and the outdoor temperature.

Abstract: An environmental control system for a telecom shelter integrates with a native HVAC system for exchanging interior air in a conditioned space in a machine room, telecom enclosure, or other closed machine environment by forcing or directing cooler outside air to replace interior air without active refrigeration by the native HVAC system. Primary cooling and heating of the conditioned space in the enclosure is performed by an exchange system and control logic that identifies, based on sensory input, when outside air exchange is more efficient than native AC (Air Conditioner) operation. The native AC system is suppressed or inhibited, and primary environmental control performed by fan driven exchange of outside air with air in the enclosure.

Abstract: A system and method for energy optimization is disclosed. The system may collect information from an information collector data including energy usage and storage data of at least one renewable energy generation system and battery energy storage system (BESS). The system may identify historical events that result in curtailment of renewable energy production, determine whether there is a curtailment of renewable energy production based at least on one historical event supervise the charge and discharge cycles of the at least one BESS; and ensuring that the diesel generators minimum up/down time is satisfied based on controlling at least one parameter of the BESS.

Abstract: A system for wind turbine control includes a state dependent quadratic regulator (SDQR) control unit, a linear quadratic regulator (LQR) generating control acceleration commands for wind turbine speed and wind turbine power regulation, an actuator dynamic model computing a gain value for the LQR at predetermined sampling intervals and augmenting the actuator dynamic model with a wind turbine model. The wind turbine model either an analytical linearization model or a precomputed linear model, where the precomputed linear model is selected from a model bank based on a real-time scheduling operation, and the analytical linearization model is computed using an online linearization operation in real-time at time intervals during operation of the wind turbine based on current wind turbine operating point values present at about the time of linearization. A method and a non-transitory medium are also disclosed.

Abstract: Systems and methods are directed controlling components of a utility grid. The system can receive signals. The system can determine one or more statistical metrics based on the signals. The system can generate an input matrix. The system can input the input matrix into a machine learning model. The system can predict, based on the input matrix and via the machine learning model, the value for the signal of the utility grid at a time period for which the value is not provided in the input matrix. The system can provide a command to control a component of the utility grid responsive to the value for the signal of the utility grid predicted by the machine learning model.

Abstract: An automated manufacturing defect detection system includes processing circuitry configured to receive historical parts statistics corresponding to a failure of parts used in a vehicle assembly, receive vehicle sensor statistics corresponding to a failure of parts of post manufactured vehicles, and receive historical assembly line statistics corresponding to a failure of assembly of parts during the vehicle assembly. Additionally, the processing circuitry is configured to generate a profile for one or more parts used in the vehicle assembly, receive an analysis of each of the one or more parts of the assembled vehicle, determine whether any of the one or more analyzed parts deviate from the profile generated for that part, and in response to a determination that any of the one or more analyzed parts deviate from the profile generated for that part by greater than an expected quality threshold, automatically communicate an alert corresponding to the deviation.

Abstract: A method for alerting component efficacy declining of HVAC apparatus includes: continually recording working time of a fan of an HVAC apparatus and controlling a pressure-difference transmitter arranged on both sides of a filter of the HVAC apparatus for calculating current pressure difference; calculating a first-stage slope based on a first pressure-difference condition, an initial pressure difference, and an accumulated working time of the fan when the current pressure difference reaches the first pressure-difference condition; calculating a second-stage slope based on a second pressure-difference condition, the first pressure-difference condition, and the accumulated working time of the fan when the current pressure difference reaches the second pressure-difference condition; predicting a remaining lifetime of the filter based on the first-stage slope if a comparison result between the two slopes is smaller than or equal to a threshold; otherwise, predicting the remaining lifetime of the filter based on t

Abstract: A sensor-based ventilation system includes a sensor, a ventilation device, and a controller. The controller receives a first indication from the sensor related to toilet usage or a humidity level within a room. The controller also sends a first instruction to actuate the ventilation device to initiate or increase ventilation of the room based on the first indication. The controller further receives a second indication from the sensor related to the toilet usage or the humidity level within the room changing after sending the first instruction. controller sends a second instruction to actuate the ventilation device to stop or reduce ventilation of the room based on the second indication.

Abstract: System and method for improving operation of an industrial automation system, which includes a control system that controls operation of an industrial automation process. The control system includes a feature extraction block that determines extracted features by transforming process data determined during operation of an industrial automation process based at least in part on feature extraction parameters; a feature selection block that determines selected features by selecting a subset of the extracted features based at least in part on feature selection parameters, in which the selected features are expected to be representative of the operation of the industrial automation process; and a clustering block that determines a first expected operational state of the industrial automation system by mapping the selected features into a feature space based at least in part on feature selection parameters.

Abstract: A production plan creation computer, in a production plan creation process before starting production, creates or enters multiple production jobs required for producing the multiple types of component-mounted boards that are planned to be produced, and predicts or enters a production job that may become a jump-the-queue job to be produced unscheduled while one of the multiple production jobs is being produced. Next, the jump-the-queue job and the production jobs are grouped into multiple setup groups, with the jump-the-queue job being included in all the setup groups. Here, the jobs are grouped in each setup group such that it is possible to switch between the production jobs and the jump-the-queue job without performing changeover. The priorities of the jump-the-queue job and the production jobs are determined, and the feeder arrangement is optimized for each setup group based on the priorities of the jump-the-queue job and the production jobs.

Abstract: To provide a collection device, a collection method, and a collection program capable of making detailed data in the past available for viewing according to demand while reducing the volume of communication data in a usual state. A collection device comprises: an acquisition unit that acquires state data about a machine in a predetermined cycle; a first transmission unit that transmits partial data belonging to the state data and matching a first condition set in advance to a management server; a storage unit that stores state data not having been transmitted from the first transmission unit to the management server; and a second transmission unit that, in response to a first command including designation of a time in the past, transmits state data from the designated time onward stored in the storage unit to the management server.

Abstract: There is provided a method of representing a three dimensional (3D) object using univariate curves, comprising: receiving an initial definition of a 3D object representation, calculate a covering set of univariate curves, the covering set comprising at least one non-planar univariate curve, wherein the covering set of univariate curves represent the volume of the 3D object within a tolerance requirement, and generating a representation of the 3D object based on the set of univariate curves, wherein the set of univariate curves represent the volume of the 3D object.

Abstract: An apparatus configured to calibrate a wafer bonding apparatus includes a stage, a linear moving pin, a detector, and a data processing unit. The stage is configured to hold a wafer thereon, and the wafer includes a predetermined mark thereon. The linear moving pin is configured to push the wafer away from the stage. The detector is configured to detect a position of the predetermined mark when the linear moving pin applies a force to the wafer. The data processing unit receives information on the position of the predetermined mark from the detector and information on a corresponding force applied to the wafer by the linear moving pin, where the data processing unit is configured to compare the information with calibration information.

Abstract: The invention relates to a method for generating a control variable trajectory for an actuator so as to influence an input variable of a system, wherein a set point is supplied to the output variable of the system of a trajectory planning procedure, which from the set point generates a trajectory of constrained input values for a filter integrator chain and a trajectory of flat desired states, wherein the trajectory of constrained input values and the trajectory of flat desired states are supplied to a flatness-based feedforward control procedure that generates therefrom the control variable trajectory for the actuator, wherein in the trajectory planning procedure so as to generate the trajectory of constrained input values at least one constraint is applied in dependence upon the trajectory of flat desired states.

Abstract: Heating and cooling systems at various geographical locations are controlled by a central energy management service unit to maintain comfortable indoor temperatures. In some weather conditions, people may intuitively prefer a slightly warmer or cooler indoor temperature. In systems equipped with environmental learning capabilities, an apparent outdoor temperature is determined based on the geographic location itself, the season at the geographic location, the forecasted actual temperature, and one or more seasonal weather factors such as wind velocity or humidity. The apparent temperature and a trained machine learning system are used to select an automated schedule for the geographic location to be directly transmitted to devices at the location. The automated schedule can vary from typical schedules by causing the heating and cooling systems to maintain a temperature that is slightly warmer or cooler than typical indoor temperatures.

Abstract: A cold air outlet assembly can include one or more cold air outlets arranged to channel cold air to a contained cold region or cold aisle, and one or more bypass ducts arranged to fluidly connect a hot external environment with the cold region adjacent the cold air outlets. The bypass ducts include backdraft dampers arranged to allow flow of hot air from the hot environment to the cold region and restrict flow of cold air from the cold region to the hot environment so that, in operation, limited mixing of hot air and cold air within the cold region occurs under low pressure conditions in the cold region. The temperature of the mixed hot and cold air can be sensed and used for controlling airflow to the cold region.

Abstract: Systems and methods for real time semiconductor manufacturing cluster tool health monitoring are provided via an in-situ sensor. In a method embodiment, an operation procedure for pumping/venting load lock (LL), and LL doors facing vacuum transfer module (VTM) and equipment front end module (EFEM), sensor installation location and operation procedure, and data flow and analysis process are provided. The sensor provides real-time data and monitors airborne particle contamination on EFEM, load lock (LL), and VTM, and plurality of process modules (PMs) simultaneously by correlating door open/close time and vent/pump timing in the loadlock to the particle measurement data. The method further provides an operation for determining that a maintenance procedure is recommended on one of the EFEM, the LL, the VTM, or the plurality of PMs based on the real time measurement data, door state data, and using machine learning algorithms.

Abstract: Apparatus for providing variable speed pump control in a hydronic pump system having a system flow and pressure requirement, featuring a signal processor or processing module configured to: receive signaling containing information about a system characteristic curve, a system flow and pressure requirement for the hydronic pump system, and real time changes by a pump operator to at least one control parameter to adjust the performance of the hydronic pump system; and determine corresponding signaling containing information about a design/redesign of at least one pump, system or control curve to adjust the performance of the hydronic pump system to correspond with the system flow and pressure requirement of the hydronic system, based upon the signaling received.

Abstract: A safety monitoring method and apparatus for an industrial control system include an advantage of quick and accurate detection of an abnormal behavior in the industrial control system. An embodiment of the method includes: providing the first data generated during the process of operating of an industrial control system and performing the first statistics on the first data; providing a result of the first statistics to a user; obtaining an operation performed by the user on the result of the first statistics; determining, based on the operation, a target time period related to the first statistics and the second data satisfying a preset condition in the first data; and obtaining a result of second statistics in the target time period, and based on the result thereof, performing the safety analysis on the industrial control system.