Abstract: An Internet of Things washing machine control method comprises the steps of, when a power module of the washing machine detects a startup signal, starting up the washing machine, and enabling a communication module to start to connect with the Internet; judging whether the communication module is successfully connected with the Internet, if yes, activating a remote control function and entering the next step, and if no, directly entering the next step; judging whether the washing machine receives an operating command of running a clothes washing program, if yes, executing the operating command and entering the next step, and if no, directly entering the next step; judging whether to shut down the washing machine, if yes, entering the next step, and if no, returning to the step; sending a shutdown signal to the power module, shutting down the washing machine, and powering off the communication module.

Abstract: This disclosure relates to systems and methods for real-time electrical power grid restorations. An example system may include a real-time monitoring module configured to acquire operational data associated with electrical grid components of an electrical grid. The system may further include a restoration manager module configured to detect, based on the operational data, one or more unplanned outages or other events in the electrical grid. In response to the detection, the restoration manager module can analyze the operational data to determine or select from a database a restoration plan. The restoration plan can include operations associated with commands for control devices, wherein the control devices are operable to control a power transmission between the electrical grid components. The restoration manager module can be further configured to execute the one or more operations of the restoration plan to restore the electrical power grid to a normal operational state.

Abstract: In a method for controlling a dishwasher, a user preference is captured for a cleaning cycle of the dishwasher. Parameters associated with a cleaning cycle of the dishwasher are read over a plurality of cleaning cycles, and a user input that indicates satisfaction by the user with one of the cleaning cycles is captured. An optimization is determined of a parameter of the parameters on the basis of the user input and the user preference.

Abstract: A method and system for patient monitoring, the system comprising a surveillance camera configured to generate a plurality of frames showing an area in which a patient in a bed is being monitored, and a computer system comprising memory and logic circuitry configured to determine bed rails positions of the bed, identify a position of the patient, and generate signals that control the bed rails of a bed based on the bed rails positions and the position of the patient.

Abstract: An embodiment of the invention includes a computer-readable medium storing instructions that, when executed by at least one computer, cause the at least computer to carry out a method for estimating a time-varying energy balance of a power system. A mission plan for a mission is received. The mission plan includes at least one activity and at least one route. Each route of the at least one route includes at least one time and at least one location. A plurality of power load identifications is received for at least one time-varying power load for use in the mission plan. A time-varying power requirement to complete the mission plan is determined. A baseline plurality of energy storage devices required to satisfy the time-varying power requirement is determined by the energy analysis code. The baseline plurality of energy storage devices includes a baseline number and type of energy storage devices.

Abstract: Methods for modeling heating, ventilation, and air conditioning (HVAC) are described. A heuristic model of air handling in a HVAC system is optimized by a server based on measurements from outdoor sensors, from building space sensors, plant sensors, and sensors for the air handling. Settings of the air handling in the HVAC system are determined by the server from the model as optimized and transmitted to the HVAC system. The heuristic model may be optimized by indicating a mismatch of a fan with a space based on a diversity from a fan flow set point and a fan designed maximum flow; identifying a rogue zone or a critical zone of air handling units based on a number of actuator re-positioning, box pressures, and box flow; and/or determining a coupling of a coupled zone operation with temperature, flow, or temperature and flow.

Abstract: A virtual metrology system at least includes a process apparatus including a set of process data, the process apparatus producing a workpiece according to the set of process data. A virtual metrology server is configured to gather the set of process data, cluster the set of process data to obtain data clusters, and compare the data clusters with patterns. If the data clusters meet the patterns corresponding to the data clusters, performing a corresponding maintenance, repair, and overhaul step on the process apparatus.

Abstract: There is provided a method for optimizing a manufacturing process of a new part. The method includes executing, by a system configured to drive the manufacturing process, a set of manufacturing functions. Executing these functions include receiving data associated with one or more field parts similar to the new part, and generating, based on the data, a forecast representative of a longevity of the one or more parts. The method further includes generating a digital thread forming a surrogate model for the new part, based on the forecast. Further, the method includes creating the set of manufacturing functions based on the surrogate model and manufacturing the new part according to the set of manufacturing functions.

Abstract: There are provided methods and systems for optimizing a manufacturing process. For example, there is provided a method for generating a model for driving a decision of a manufacturing process. The method includes simultaneously receiving data from a plurality of sources and executing a machine learning-based procedure on the data. The method further includes updating a physics-based model corresponding to the model in real time based on a result of the machine learning-based procedure.

Abstract: A method for operating a temperature control system is disclosed. The method includes monitoring an interior and exterior temperature of a structure, defining a first time range and a second time range, associating one or more operating parameters of the temperature control system with the first time range, associating one or more operating parameters of the temperature control system with the second time range, monitoring operational time and operational load of the cooling system for the first time range, predicting a space temperature and an outdoor air temperature for a subsequent time period, and controlling a ventilation subsystem during the second time range based upon the monitored operational time and operational load of the cooling subsystem for the first time range, the predicted space temperature, the predicted outdoor air temperature, and the one or more operating parameters of the cooling subsystem associated with the second time range.

Abstract: A method for determining the orientation of a part that is to be additively manufactured includes providing a geometry for the part to be additively manufactured, defining a property of the part to be additively manufactured, analyzing a directional dependency of the property in accordance with the geometry of the part, and determining a preferred orientation of the part to be additively manufactured in an additive manufacturing plant on the basis of the analysis of the directional dependency.

Abstract: Disclosed is an apparatus and method for controlling operation of at least one home appliance by executing artificial intelligence (AI) algorithms and/or machine learning algorithms in a connected 5G environment for the Internet of things (IoT). The home appliance control apparatus according to an embodiment of the present disclosure includes a setting unit for setting one home appliance among a plurality of home appliances as a main home appliance and for setting at least one of the remaining home appliances as a sub-home appliance when a voice command is received from an utterer, and a communication control unit for controlling the main home appliance and the sub-home appliance to communicate with each other using a mutually agreed communication protocol other than a pre-set network communication when a predetermined condition is satisfied.

Abstract: A dynamically coordinatable electrical distribution system includes a plurality of intelligently-controlled protection devices (PDs), a communication and control bus (comm/control) bus, and a central computer. The plurality of intelligently-controlled PDs is configured to protect a plurality of associated electrical loads from faults, developing faults, and other undesired electrical anomalies. Each of the PDs further has electrically adjustable time-current characteristics. The intelligently-controlled PDs are communicatively coupled to the comm/control bus and configured to report current data representative of real-time currents flowing through their respective loads to the central computer, via the comm/control bus. The central computer is configured to communicate with the plurality of PDs over the comm/control bus and dynamically coordinate the time-current characteristics of the plurality of PDs based on the current data it receives from the PDs.

Abstract: A dynamically coordinatable electrical distribution system includes a plurality of intelligently-controlled protection devices (PDs), a communication and control bus (comm/control) bus, and a central computer. The plurality of intelligently-controlled PDs is configured to protect a plurality of associated electrical loads from faults, developing faults, and other undesired electrical anomalies. Each of the PDs further has electrically adjustable time-current characteristics. The intelligently-controlled PDs are communicatively coupled to the comm/control bus and configured to report current data representative of real-time currents flowing through their respective loads to the central computer, via the comm/control bus. The central computer is configured to communicate with the plurality of PDs over the comm/control bus and dynamically coordinate the time-current characteristics of the plurality of PDs based on the current data it receives from the PDs.

Abstract: Techniques are disclosed for implementing a scalable hierarchical energy distribution grid utilizing homogeneous control logic are disclosed that provide distributed, autonomous control of a multitude of sites in an energy system using abstraction and aggregation techniques. A hierarchical energy distribution grid utilizing homogeneous control logic is provided that includes multiple control modules arranged in a hierarchy. Each control module can implement a same energy optimization scheme logic to directly control site energy resources and possibly energy resources of sites associated with control modules existing below it in the hierarchy. Each control module can act autonomously through use a similar set of input values to the common optimization scheme logic.

Abstract: Described herein are methods and systems for chamber matching in a manufacturing facility. A method may include receiving a first chamber recipe advice for a first chamber and a second chamber recipe advice for a second chamber. The chamber recipe advices describe a set of tunable inputs and a set of outputs for a process. The method may further include adjusting at least one of the set of first chamber input parameters or the set of second chamber input parameters and at least one of the set of first chamber output parameters or the set of second chamber output parameters to substantially match the first and second chamber recipe advices.

Abstract: The embodiments described herein include one embodiment that a control method including executing an infeasible search algorithm during a first portion of a predetermined sample period to search for a feasible control trajectory of a plurality of variables of a controlled process, executing a feasible search algorithm during a second portion of the predetermined sample period to determine the feasible control trajectory if the infeasible search algorithm does not determine a feasible control trajectory, and controlling the controlled process by application of the feasible control trajectory.

Abstract: A display unit of an injection molding machine that displays an order of operations of elements operating during clamp close or open of the injection molding machine, the display unit including a condition setting unit that sets a start condition of the operation; a group setting unit that sets the elements operating in conjunction with each other to be associated with the same group, based on the set start conditions; an order setting unit that sets the order of the operations of the elements associated with the same group, based on the set start conditions; and a display control unit that controls a display unit to display a field showing the group, and to display symbols indicating the operations of the elements associated with the groups in the fields, to show a before and after relationship in accordance with the set order of the operations.

Abstract: A method is disclosed and includes generating a tool-lot relationship based on at least one process constraint and a dispatching rule which includes dispatching preferences for operating at least one lot; assigning the at least one lot to at least one tool by using the tool-lot relationship; and the at least one tool, assigned using the tool-lot relationship, processing the at least one lot by utilization of the tool-lot relationship to manufacture semiconductor devices on at least one wafer in the at least one lot.

Abstract: The present disclosure relates to a method and system for automating execution of processes by a process automation system. The process automation system captures environment data and application data associated with at least one of applications and systems which are utilized for performing a process and records each of user actions performed on at least one of the applications and the systems with reference to the environment data. The process automation system determines one or more automation rules for each set of connected user actions within and between the at least one of the applications and the systems from the recorded user actions for execution of a corresponding activity in the process and creates an execution sequence comprising the one or more automation rules for automating the process.