Abstract: The present disclosure can provide a distributed and anonymous approach to demand response of an electricity system. The approach can conceptualize energy consumption and production of distributed-energy resources (DERs) via discrete energy packets that are coordinated by a cyber computing entity that grants or denies energy packet requests from the DERs. The approach leverages a condition of a DER, which is particularly useful for (1) thermostatically-controlled loads, (2) non-thermostatic conditionally-controlled loads, and (3) bi-directional distributed energy storage systems, among others. In a first aspect of the present approach, each DER independently requests the authority to switch on for a fixed amount of time (i.e., packet duration). The coordinator determines whether to grant or deny each request based electric grid and/or energy or power market conditions.

Abstract: Disclosed is a vehicle air conditioning device including a heat pump cycle configured to compress and expand a refrigerant; a heater core; a high pressure side pressure sensor configured to detect a pressure on the high pressure side of the heat pump cycle; and a heater core inlet water temperature sensor configured to detect a temperature of cooling water at an inlet of the heater core as a heater core inlet water temperature. The heat pump cycle includes a compressor; a condenser; a water refrigerant heat exchanger and an evaporator; and a heating expansion valve and a cooling expansion valve. An estimated outside air temperature is calculated based on the high pressure side pressure detected by the high pressure side pressure sensor and the heater core inlet water temperature detected by the heater core inlet water temperature sensor.

Abstract: The present invention provides an active distribution network physics-information fusion control method for a hybrid system model includes an initialization time being a starting time, predicting power output and load of a feeder intermittent distributed power supply within a control time period T, calculating a feeder exchange power deviation variation ?P(t) during the control time period, if being a fixed distribution coefficient, and establishing a hybrid system model for feeder power coordinated control; if being a rolling distribution coefficient, an exchange power P(t) of the control region at time t being obtained, generating a distribution coefficient matrix W(t), and establishing the hybrid system model of the said feeder power coordinated control; confirming a control objective function min J, converting it into a MIQP, obtaining a full period control quantity; selecting a first control quantity P of the optimized control sequence, sending the first control quantity P to the control device.

Abstract: A control apparatus is communicably connected to a first apparatus to perform a control on the first apparatus. The control apparatus includes a data collecting unit, a collection interval determining unit, and a storing unit. The data collecting unit collects, by polling and from the first apparatus, data in order to perform the control. The collection interval determining unit determines, based on a setting content of the control, a collection interval of the data collected by the data collecting unit. The control apparatus performs a plurality of the controls on one first apparatus. The storing unit stores, for each of the controls, one data item or a plurality of data items constituting the data. The storing unit further stores, for each of the data items, the collection interval.

Abstract: Systems and processes for designing and generating personalized surgical implants and devices are described herein. In various embodiments, the process includes generating patient-specific implants with patient-specific surface(s) and/or textures designed for increased osseointegration and improved surgical outcomes. In various embodiments, the process includes extracting patient-specific data with one or more aspects of an anatomical feature, processing the one or more aspects of the anatomical feature to create a non-rigid shape reference, and generating a patient-specific implant or device.

Abstract: A method and system for co-ordinating control of a plurality of sensorless devices. Each device includes a communication subsystem and configured to self-detect one or more device properties, the device properties resulting in output having one or more output properties. The method includes: detecting inputs including the one or more device properties of each device, correlating, for each device, the detected one or more device properties to the one or more output properties, and co-ordinating control of each of the devices to operate at least one of their respective device properties to co-ordinate one or more output properties for the combined output to achieve a setpoint. In some example embodiments, the setpoint can be fixed, calculated or externally determined.

Abstract: A control system for an operable system such as a flow control system or temperature control system. The system operates in a control loop to regularly update a model with respect at least one optimizable input variable based on the detected variables. The model provides prediction of use of the input variables in all possible operation points or paths of the system variables which achieve an output setpoint. In some example embodiments, the control loop is performed during initial setup and subsequent operation of the one or more operable elements in the operable system. The control system is self-learning in that at least some of the initial and subsequent parameters of the system are determined automatically during runtime.

Abstract: Systems include one or more critical datacenter connected to behind-the-meter flexible datacenters. The critical datacenter is powered by grid power and not necessarily collocated with the flexboxes, which are powered “behind the meter.” When a computational operation to be performed at the critical datacenter is identified and determined that it can be performed at a lower cost at a flexible datacenter, the computational operation is instead routed to the flexible datacenters for performance. The critical datacenter and flexible datacenters preferably shared a dedicated communication pathway to enable high-bandwidth, low-latency, secure data transmissions.

Abstract: Disclosed is a denture tray for visual marking and a manufacturing method thereof. The method comprises: establishing a three-dimensional model of a target dentition of a target patient; obtaining a three-dimensional model of a substrate of a denture tray based on the three-dimensional model of the target dentition; providing a through hole at a preset position on the three-dimensional model of the substrate of the denture tray; establishing a three-dimensional model of a fixed connection portion on an outer side surface of the three-dimensional model of the substrate of the denture tray to form a three-dimensional model of the denture tray, wherein the three-dimensional model of the fixed connection portion is integrally connected with the three-dimensional model of the substrate of the denture tray; and manufacturing the denture tray based on the three-dimensional model of the denture tray.

Abstract: A workpiece machining device includes a positional deviation correction unit configured to correct a positional deviation of a radius end mill by detecting a positional deviation between a real contour line and an ideal contour line of the radius end mill. The positional deviation correction unit calculates a first correction value configured to make a center of a first arc section formed into an arc shape at a corner portion of the ideal contour line and a center of a second arc section formed into an arc shape at a corner portion of the real contour line to be identical to each other in a plane perpendicular to the rotational axis, and corrects a machining point by the radius end mill using the first correction value.

Abstract: A method of providing operating parameters of an automation device via a configuration system comprising: detection of a pre-selection of the automation device via a user interface of the configuration system; detection of a target value of a first operating parameter of the automation device via the user interface; calculation of a limit value of a second operating parameter of the automation device in dependence on the target value of the first operating parameter, wherein the dependence of the second operating parameter on the first operating parameter is calculated using a device model of the automation device; and output of the limit value of the second operating parameter via the user interface of the configuration system.

Abstract: A system monitors operation of a component in a hydraulic fracturing fleet. A sensor exposed to an external environment of the component is configured to detect external indicia of the operation of the component. Memory stores an artificial intelligence (AI) model, the AI model being trained to monitor the operation of the component in the system. One or more processors are operatively coupled to the memory and the sensor. The one or more processors are configured to obtain data of the external indicia detected with the sensor; input the obtained data into the AI model; detect, with the AI model and based on the input data of the external indicia, one of a plurality of predetermined states corresponding to the operation of the component; and perform a predetermined function based on the detected one of the plurality of predetermined states.

Abstract: A constitutive device quality determination server is communicably connected to an inspection device via the internet, the inspection device performing an inspection on a constitutive device configuring a board work machine by operating the constitutive device in accordance with to a type of the inspection, and includes an inspection data acquisition section that designates a predetermined type of the inspection for the inspection device and acquires inspection data obtained by the inspection by the inspection device, a determination section that determines quality of the constitutive device based on the acquired inspection data, and a transmission section that transmits a quality determination result determined by the determination section to a terminal device communicably connected over the internet.

Abstract: A method and a control system of a food treating process made of a plurality of sub-processes is disclosed. The system comprises a plurality of product sensors including at least a spectrograph sensor and a thermograph sensor, plant sensors, control devices, a main hardware and software architecture apt, and a database structure to provide timely and automatic regulation controls, preferably exploiting synergies between various optimised parallel processes.

Abstract: A system for precision liquid delivery includes a gas reservoir having a known volume. The system has a tightly load-coupled pneumatic driver (a “TLCP driver”) that is configured to receive input power to cause the TLCP driver to move gas into the gas reservoir to produce a gas drive pressure. A valve is configured to couple the gas reservoir with a fluid reservoir having an unknown volume. The valve is further configured to selectively isolate or pneumatically couple pressures in the gas reservoir and the fluid reservoir. A gas-fluid interface couples pressure in the fluid reservoir to pressure in a fluid path. The fluid path is configured so that the fluid drive pressure driving the liquid in the fluid path is substantially the same as the fluid reservoir pressure. The system also has a pressure sensor configured to detect pressure in the gas reservoir and/or the fluid reservoir.

Abstract: An electrical power distribution control system configured to issue a demand response signal to cut power to a plurality of electrical power consuming loads within an electrical power distribution network to reduce a peak power demand within an electrical power grid during a peak power demand. Unlike conventional demand response systems, the controller in each consumer residence includes both a distributed control based on the ability to track individual 24 hour usage patterns and selectively delay the demand response signal on individual resistive heating loads based on usage patterns for the purpose of reducing a likelihood of consumers experiencing effects of the reduced peak power demand.

Abstract: A method for controlling the temperature of a compressor having a motor including a rotor and a stator, and a control assembly operably coupled to the compressor, the method comprising the steps of: applying an initial current to the compressor motor; measuring a voltage across the compressor motor and determining a resistance of the compressor motor based on the initial current and a measured voltage; determining whether the determined resistance is less than or equal to a desired resistance; applying a secondary current to the compressor motor if the determined resistance is less than or equal to the desired resistance.

Abstract: A semiconductor manufacturing apparatus including a plurality of process modules for performing desired processes on a plurality of substrates and a plurality of transfer modules for serially transferring the plurality of substrates to the plurality of process modules is provided. The semiconductor manufacturing apparatus comprises a scheduler for calculating a cycle time so that a difference in time required for each of the desired processes is within an allowable time range and generating a transfer plan for the plurality of substrates based on the cycle time, and a transfer controller for controlling the plurality of transfer modules so that the plurality of substrates are serially transferred to the process modules according to the generated transfer plan.

Abstract: The invention relates to a method and to a delivery apparatus for carrying out the method, wherein the delivery apparatus comprises an eccentric screw pump having a rotor-stator unit with an outlet, a drive unit, a control device and a delivery section, and wherein the delivery apparatus comprises at least one pressure sensor and a characteristic-variable detection device.

Abstract: System and method for guiding a drill using a subsurface model generated by successive full waveform inversions (FWI) on surface data and seismic-while-drilling (SWD) data. A server receives surface data from at least one surface sensor that records elastic energy radiated from surface seismic source and SWD data from at least one surface or at least one subsurface crosswell sensor (i.e., deployed in a nearby well). The server also receives top-drive measurements. A drillbit source signature estimation is performed, on the SWD data, by the server by blind deconvolution or by using drill string modeling and top-drive measurements. The server then performs FWI on the surface data by using the background subsurface velocity obtained by kinematic analysis of surface seismic data, to obtain an updated approximation of the subsurface velocity. The new approximation along with the drillbit source signature is then used when performing FWI on the SWD data.