Abstract: In a system of manufacturing an orthodontic wire, a method for manufacturing the orthodontic wire using the system, and an orthodontic wire bending machine for performing the system, the system includes a teeth data obtaining part, a simulating part, a calculating part and a wire manufacturing part. The teeth data obtaining part obtains present teeth data of a patient. The simulating part generates final teeth data. The calculating part compares a predetermined threshold to a compared value between the present teeth data of the patient and the final teeth data. The wire manufacturing part selectively manufactures a wire for an orthodontic process or a wire for a dentition maintenance process based on a compared result of the calculating part.

Abstract: The invention relates to an apparatus for mounting components on a substrate. The apparatus comprises a bond head with a component gripper, a first drive system for moving a carrier over relatively long distances, a second drive system which is attached to the carrier for moving the bond head back and forth between a nominal working position and a stand-by position, a drive attached to the bond head for rotating the component gripper or a rotary drive for rotating the substrate about an axis, at least one substrate camera attached to the carrier and at least one component camera. Either the second drive system is also designed to perform high-precision correction movements with the bond head, or a third drive system is provided to perform high-precision correction movements with the substrate. At least one reference mark is attached to the bond head or the component gripper.

Abstract: A model is generating for predicting energy workloads to adjust electrical energy supply to meet varying short-term energy demands at a microcosm level. A model is developed, using a computer, to facilitate predicting energy workloads for adjusting energy supplies to meet an energy demand. The model includes receiving, at the computer, input parameters of dynamic values of workloads as historical data, and generating a predictive model by analyzing the input parameters. The model further includes predicting short-term energy demands based on the predictive model, the predicted short-term energy demands include identifying a predicted peak value. Also, the model includes initiating short term energy output in an electrical grid to a transformer level component in the electrical grid based on the predicted short term energy demands.

Abstract: A system for optimizing machine performance includes an optimization system and a data processing system. The data processing system records readings from data sources monitoring the performance of a machine and related aspects. The readings are processed at the optimization system and a machine learning model is trained to differentiate between data corresponding to an interval of optimal runtime performance and data corresponding to an interval of pre-error performance. The trained model is used to identify a subset of the various data sources that are most-predictive for a particular performance state of the machine, such as a pre-error performance state or an optimal runtime performance state. The subset of the various data sources are provided to a multivariate model for generating set-point recommendations for each of the most-predictive data sources.

Abstract: A control method includes, after a multi-split air conditioner starts to operate in a heating mode, determining a target room from a plurality of rooms for which the multi-split air conditioner provides air conditioning, obtaining an indoor temperature of the target room, determining whether the indoor temperature of the target room is greater than a target temperature corresponding to the target room, and, in response to a determination that the indoor temperature of the target room is greater than the target temperature, controlling the multi-split air conditioner to switch an operation mode of a target indoor unit corresponding to the target room from the heating mode to a cooling mode.

Abstract: A data processing device capable of performing problem diagnosis in a production system with a plurality of robots includes: a first time series obtaining part for obtaining historical event data used for determining some historical alarm indicator in time series and storing the historical event data as first time series data; a historic alarm indicator calculation part for calculating a series of historic alarm indicators using statistic characteristics of the first time series data; a threshold definition part for defining at least one threshold value based on a statistical distribution of the historical alarm indicators; a second time series obtaining part for obtaining operational event data during operation of the robots used for determining some operational alarm indicator in time series and storing the operational event data as second time series data; and an operational alarm indicator calculation part for calculating a series of operational alarm indicators.

Abstract: An air conditioner is disclosed. An air conditioner according to an embodiment of the present disclosure comprises: a casing including a compressor, an inlet, and an outlet; a fan motor, installed inside the casing, for blowing air; a discharge vane provided movably in the outlet; a vane motor for operating the discharge vane; a communication unit for communicating with a moving agent moving in an indoor space; and a processor for receiving feature information related to a structure of the indoor space acquired by the moving agent, acquiring the type of the indoor space by using the feature information, and adjusting at least one of a set temperature, an airflow volume, and a wind direction by controlling at least one of the compressor, the fan motor, and the vane motor.

Abstract: Controlling heating and cooling in a conditioned space utilizes a fluid circulating in a thermally conductive structure in fluid connection with a hydronic-to-air heat exchanger and a ground heat exchanger. Air is moved past the hydronic-to-air heat exchanger, the air having fresh air supply and stale air exhaust. Sensors located throughout the conditioned space send data to a controller. User input to the controller sets the desired set point temperature and humidity. Based upon the set point temperature and humidity and sensor data, the controller sends signals to various devices to manipulate the flow of the fluid and the air in order to achieve the desired set point temperature and humidity in the conditioned space. The temperature of the fluid is kept less than the dew point at the hydronic-to-air heat exchanger and the temperature of the fluid is kept greater than the dew point at the thermally conductive structure.

Abstract: A technology for associating and ascertaining dependency relations between device variables corresponding to respective devices with dependency relations of device variables for respective parameters of a function in a control program is provided. A graph display device according to one aspect of the present invention generates a first directed graph including a plurality of first nodes that respectively express device variables and edges that express having dependency relations, and a second directed graph including the plurality of first nodes, the edges, and a block that expresses the function, and switches and displays the generated first directed graph and second directed graph on a display device.

Abstract: An HVAC system for enhanced source-to-load matching without sacrificing airflow delivery in low load structures. Embodiments of the present disclosure provide for an HVAC system for enhanced source-to-load matching in a low load environment, i.e. dwellings with a BTU/hour capacity of less than 18,000. Prior art HVAC equipment is oversized for dwellings with a BTU/hour capacity of less than 18,000 that are insulated to minimum code requirements. Embodiments of the present disclosure provide for an HVAC system that separates the delivery of airflow (CFM) output from that of the BTU capacity output, thereby enabling a distributed delivery system for optimal source-to-load matching without sacrificing airflow delivery in low load environments. The source-to-load matching enabled by the present disclosure ensures optimal indoor air quality, enhanced comfort for occupants of the dwelling, and approximately a 60% reduction in heating and cooling costs when compared to prior art HVAC systems.

Abstract: Various embodiments manage energy generation in a power generation and distribution system. In one embodiment, a set of residual load data is obtained for a given period of time measured at one or more nodes within a power generation and distribution system. The set of residual load data encodes a set of power flow signals. The set of residual load data is analyzed. An amount of power contributed to the set of residual load data by at least one energy generator class is determined based on the analysis of the set of residual load data.

Abstract: A system for monitoring at least one HVAC system includes at least one remotely accessible server, at least one probe or sensor operatively connected to the at least one HVAC system and configured to acquire operational data, and a communication module operatively connected to the at least one probe or sensor and configured to transmit the operational data acquired to the at least one remotely accessible server. The remotely accessibly server includes a processor and a memory unit and is programmed to receive and store operational data acquired for the HVAC system, and identify any operational abnormalities by analysing the operational data. Responsive to an operational abnormality being identified, the server is further programmed to designate a tiered maintenance status for the HVAC system and transmit a corresponding tiered maintenance request to a technician based on the tiered maintenance status designated.

Abstract: Maximum flow setting. A method of limiting flow through a valve (1) comprising: reading a time series of signals from a flow sensor (5a, 5b); producing a time series of flow rates from the time series of signals; producing an averaged series of values; producing a first bounded series of values by replacing values that are below a lower threshold (13) with the lower threshold (13); producing a second bounded series of values by replacing values that exceed an upper threshold (15) with values that equal the upper threshold (15); producing a maximum flow rate by applying a moving maximum filter (17) to the second bounded series; reading a set point signal (9); limiting the set point signal (9) to the maximum flow rate; producing an actuation signal from the limited set point signal; transmitting the actuation signal to an actuator (7).

Abstract: A power system includes a power sourcing device, a first splice enclosure including a first power input port, a first power output port, and a first power tap port that is connected to a first remote powered device, and a second splice enclosure including a second power input port, a second power output port, and a second power tap port that is connect to a second remote powered device. The power system includes a composite power-data cable configured to carry power signals transmitted from the power sourcing device to the first splice enclosure and to the second splice enclosure. The power sourcing device is configured to disable the power signals to at least one of the first power input port, the first power output port, or the first power tap port of the first splice enclosure without disabling the power signals at the second splice enclosure.

Abstract: A method for providing output values with associated uncertainties for a flexible modular plant or machine comprising an arrangement of modular entities, wherein uncertainty information associated with an operation of the modular entity is assigned to a plurality of modular entities and input values are provided based on an operation of the modular entities, where a computing unit calculates an output value based on said input values, calculates an input value uncertainty for each input value based on the uncertainty information of the modular entity, and calculates at least one output value uncertainty associated with the output value based on propagation of uncertainty and using the input value uncertainties, and where the output value and the at least one output value uncertainty are output.

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 thermostat of an HVAC system receives active event parameters from a utility provider. The active event parameters include a start time, a stop time, and a predefined temperature setpoint for the active event, which is associated with a requirement to decrease energy consumption between the start time and the stop time. Following the start time, the thermostat adjusts a setpoint temperature of the HVAC system to the predefined setpoint temperature.

Abstract: A controller for controlling a vapor compression system is provided. The controller is configured to control an operation of the VCS with different combinations of setpoints for different actuators of the VCS to estimate a cost of operation of the VCS for each of the different combinations of setpoints, and compute, using a Bayesian optimization of the combinations of setpoints and their corresponding estimated costs of operation, a probabilistic surrogate model, wherein the probabilistic surrogate model defines at least first two order moments of the cost of operation in the probabilistic mapping. The controller is further configured to select an optimal combination of setpoints having the largest likelihood of being a global minimum at the surrogate model according to an acquisition function of the first two order moments of the cost of operation.

Abstract: A method for delivering power to a grid. The method may include receiving a prediction of power generation for a renewable energy source (RES), receiving length of power delivery requirements of the grid, determining a stretch mode limit based on the prediction of power generation and the length of power delivery requirements such that a period of time during which the RES and an ESS can deliver power to the grid is extended to satisfy the length of power delivery requirements, wherein the stretch mode limit comprises a limit on power delivered to the grid, and delivering power to the grid according to the stretch mode limit from the RES and an energy storage system (ESS) electrically coupled to the RES, wherein the combined output of the RES and the ESS is limited by the stretch mode limit.

Abstract: A building management system (BMS) provides feedback to a user via a user interface to assist the user in configuring the BMS. It can be challenging for new or less experienced users to understand all of the actions they are performing when configuring a BMS. The feedback presented via the user interface includes graphical and textual feedback to alert the user of actions performed when applying tags. The feedback identifies one or more missing requirements associated with the tags. The feedback presented via the user interface also includes textual summaries of control sequences configured using the BMS. The textual summaries include descriptions of control sequences and instructions for properly configuring the building equipment.