Abstract: A method includes identifying time values for a length of time to carry out process fluid delivery within multiple processing chambers that concurrently process multiple substrates; translating each time value to a recipe parameter for execution of an operation of a processing recipe; and causing the operation to be performed using each recipe parameter as a control value to control valves of a fluid panel of the multiple processing chambers. For each processing chamber of the multiple processing chambers, selectively controlling process fluid flow to the process chamber for a first period of time corresponding to a time value of the set of time values and to a divert foreline of the process chamber for a second period of time.

Abstract: A method for learning and detecting an abnormal part of a device through artificial intelligence comprises: an information collection step for collecting a current waveform of a current value that changes over time in a driving state of at least one device and collecting information about a faulty part of the device, together with current waveform information before a fault occurs in the device; a model setting step for learning, by a control unit, information collected in the information collection step and setting a reference model of a current waveform for each faulty part of the device; and a detection step for, when an abnormal symptom of the device is detected in a real-time driving state, comparing, by the control unit, a real-time current waveform of the device and the reference model, and detecting and providing an abnormal part regarding the abnormal symptom of the device.

Abstract: A facility providing systems and methods for managing and optimizing energy consumption and/or production is provided. The facility provides techniques for optimizing energy-consuming and energy-producing systems to meet specified demands or goals in accordance with various constraints. The facility relies on models to generate an optimization for an energy system. In order to use generic models to simulate and optimize energy consumption for an energy system, the generic models are calibrated to properly represent or approximate conditions of the energy system during the optimization period. After the appropriate models have been calibrated for a given situation using one or more modeling parameter sets, the facility can simulate inputs and responses for the corresponding system. The facility uses the generated simulations to generate a plan or control schedule to be implemented by the energy system during the optimization period.

Abstract: A system for remote diagnostic analysis of a heating, ventilation and air condition (HVAC) system is provided. The system includes a thermostat in operable communication with at least one peripheral component of the HVAC system and configured to receive information relating to the at least one peripheral component, and a server in operable communication with the thermostat for receiving and analyzing the information. The server causes the at least one peripheral component to conduct a diagnostic test and analyzes the test result to perform a root cause analysis of a system malfunction.

Abstract: There is provided an information processing apparatus and information processing method to implement a more natural and flexible behavior plan of an autonomous mobile object, the information processing apparatus including a behavior planner configured to plan a behavior of an autonomous mobile object based on estimation of circumstances, wherein the behavior planner is configured to, based on the circumstances that are estimated and multiple sets of needs that are opposed to each other, determine the behavior to be executed by the autonomous mobile object. The information processing method includes, by a processor, planning a behavior of an autonomous mobile object based on estimation of circumstances, wherein the planning includes, based on the circumstances that are estimated and multiple sets of needs that are opposed to each other, determining the behavior to be executed by the autonomous mobile object.

Abstract: A production system, including an engineering device configured to set a higher-level control device capable of controlling a control device configured to control one or more industrial machines, wherein the engineering device is configured to: display a name of each of a plurality of variables stored in the higher-level control device; receive specification of a variable to be subjected to at least one of collection or rewriting from among the plurality of variables; and perform setting of the at least one of the collection or rewriting of the specified variable.

Abstract: An encoder apparatus includes a detection unit, a scale disposed to oppose the detection unit and relatively rotatable with respect to the detection unit, and a processor configured to process an output signal output from the detection unit to obtain a relative position of the scale with respect to a standard position and thus detect an absolute position of the scale. The processor is configured to execute a setting process in which a position where a deviation amount of the scale in a predetermined direction with respect to a rotation axis is equal to or smaller than a threshold value is set as the standard position, the deviation amount changing in accordance with relative rotation of the scale with respect to the detection unit.

Abstract: In switching of a microgrid from an isolated operation to an interconnected operation with a power grid, a CEMS server determines a first master DER and slaves based on a master plan and performs master-slave control. When the first master DER goes down, the CEMS server compares remaining capacities of power-storage-type DERs included in a DER group. The CEMS server then determines a DER with the highest remaining capacity as a second master DER among the power-storage-type DERs included in the DER group and performs master-slave control.

Abstract: An HVAC controller is configured to automatically change between a HEAT mode and a COOL mode in accordance with a sensed temperature in the building structure, a HEAT temperature set point and a COOL temperature set point. The user is allowed to adjust the HEAT temperature set point and the COOL temperature set point, with the HVAC controller automatically adjusting one of the set points in response to the user making a change to the other of the other of the set points that violates a minimum deadband. If the user readjusts the user-adjusted set point in a way that no longer violates the minimum deadband, the HVAC controller will adjust the other set point back towards its previous setting.

Abstract: The present invention discloses a programmable controlled intelligent cooking machine which has an electrical control device and an automatic ingredient feeding device connected with the electrical control device; the automatic ingredient feeding device is adapted for receiving a standard package box with a plurality of compartments stocked with ingredients; the electrical control device is adapted for receiving preset recipe command and sending corresponding control command according to the recipe command; the automatic ingredient feeding device is adapted for providing major ingredients and accessory ingredients stocked in respective compartments of the standard package box according to a preset feeding sequence in the received corresponding control command; the combinations of feeding sequence for each Chinese dish can change. The present invention further discloses a feeding and cooking control method of a programmable controlled intelligent cooking machine.

Abstract: A building energy system includes HVAC equipment, green energy generation, a battery, and a predictive controller. The HVAC equipment provide heating or cooling for a building. The green energy generation collect green energy from a green energy source. The battery stores electric energy including at least a portion of the green energy provided by the green energy generation and grid energy purchased from an energy grid and discharges the stored electric energy for use in powering the HVAC equipment. The predictive controller generates a constraint that defines a total energy consumption of the HVAC equipment at each time step of an optimization period as a summation of multiple source-specific energy components and optimizes the predictive cost function subject to the constraint to determine values for each of the source-specific energy components at each time step of the optimization period.

Abstract: A system and method are described herein for tracking and instructing assembly of flexible modular products on a single assembly line. The systems enable methods for tracking components and procedures as well as tools used in the assembly of components using various sensors and devices along the line. The systems also enable methods for instructing and tracking usage of tools for procedures. Data from various sensors, stations, nodes, and relating to each particular assembly item are stored in a distributed ledger that is verified and secured for use as a production log including each action taken on the assembly item which may later be used for audit purposes as well as to increase confidence in the assembly of product variations on the assembly line.

Abstract: An air conditioner is provided. The air conditioner includes a heat exchange module, at least one humidity sensor, and a controller. The heat exchange module includes a compressor, a first heat exchanger, an expansion valve, a second heat exchanger, and an absorbent disposed on an outer surface of the first and second heat exchangers. The controller is configured to control to stop a normal operation and perform a drying operation for supplying air to any one of the first and second heat exchangers serving as an evaporator when it is determined that a predetermined drying operation condition is satisfied based on humidity information of air passed through the any one of the first and second heat exchangers serving as the evaporator, during the normal operation in which the any one of the first and second heat exchangers serves as an evaporator and the other serves as a condenser.

Abstract: Provided is a production system including: an industrial machine configured to execute each of a plurality of processes; and a circuitry, the circuitry being configured to: detect an abnormality that has occurred in the industrial machine; receive, when the abnormality is detected, a specification of one or more processes to be executed in order to perform recovery, based on process information associating, for each of the plurality of processes, at least a name of the each of the plurality of processes with a variable representing an operation of the industrial machine and indicating that at least one of refer or change is to be performed by a process program to be executed in the each of the plurality of processes; and record recovery process information indicating the received one or more processes.

Abstract: A programmable controlled intelligent cooking machine has a housing and a wok arranged inside of the housing, an electromagnetic heating coil, an electromagnetic heating controlling device, a wok rotating device, a wok working position controlling device, a wok lid and a wok lid controlling device, an automatic ingredient feeding device, an automatic accessory ingredient adding device and an electrical control device; the wok rotating device, the wok working position controlling device, the wok lid controlling device, the electromagnetic heating controlling device, the automatic ingredient feeding device and the automatic accessory ingredient adding device are connected with the electrical control device respectively, and perform corresponding operation according to the received control command, thus achieving full-automatic cooking.

Abstract: Described herein are heating, ventilation, air conditioning, and refrigeration (HVACR) systems and methods directed to indoor air quality. HVACR systems and methods are based on dynamic people modeling to simulate and/or to monitor airflow impact on pathogen spread in an indoor space. HVACR systems and methods model an indoor space with pathogen killing technology to deploy the pathogen killing technology. HVACR systems and methods are directed to control administration of a pathogen killing technology to an indoor space based on factors that impact airflow including from dynamic analytics, a known input, and/or detection.

Abstract: A building management system for monitoring and controlling HVAC parameters in a building includes one or more processing circuits configured to initialize a predictive model for predicting temperature, pressure, and humidity within a target area and an adjacent area of the building, receive target area data from a target area sensor array configured to measure temperature, pressure, and humidity of the target area, receive adjacent area data from an adjacent area sensor array configured to measure temperature, pressure, and humidity of the adjacent area, execute the predictive model based on the target area data and the adjacent area data to generate a prediction of future temperature, pressure, and humidity within the target area, and control operation of HVAC equipment to maintain the temperature, pressure, and humidity of the target area within a compliance standard.

Abstract: The disclosure relates to a safety module for an automation system assembly, having a safety component which is configured to implement a safe operation of the automation system assembly, and an adaptation component which is configured to mediate between the safety component and a communication system of the automation system assembly in order to incorporate the safety module into the automation system assembly, wherein the safety component and the adaptation component are constructed on separate circuit carriers and are connected in such a way that they are mechanically detachable and reconnectable.

Abstract: Disclosed is a system including one or more smart utilities, and a personal smart device configured to: communicate with the one or more smart utilities over one or more networks, instruct the one or more smart utilities to return self-identifying information, and instruct one or more of the one or more smart utilities, individually or as a subgroup, to activate an identifying beacon.

Abstract: A spindle assembly includes a power source interface configured to be operably coupled to a power bus and power the spindle assembly via the power bus, a spindle controller comprising processing circuitry, a diagnostic switch assembly operably coupled to the spindle controller and operably coupled to a logic supply bus, and a working apparatus comprising a motor and a spindle operably coupled to the spindle controller. The working apparatus may be controllable by the spindle controller to act upon a work piece to perform a work task. The processing circuitry of the spindle controller may be configured to receive a fault localization instruction from a bus control device operably coupled to the logic supply bus, and control the diagnostic switch assembly to determine a presence and a location of a fault on the logic supply bus.