Abstract: The systems and methods disclosed herein include a handheld programmer for replacing LED drivers in the field. The handheld programmer includes a communications module configured to communicate with a first light emitting diode (LED) driver and a second LED driver, and a processor configured to read a plurality of settings from the first LED driver and program the second LED driver with the plurality of settings from the first LED driver.

Abstract: A method of processing a substrate includes subjecting a substrate to processing that modifies a thickness of an outer layer of the substrate, measuring a spectrum of light reflected from the substrate during processing, reducing the dimensionality of the measured spectrum to generate a plurality of component values, generating a characterizing value using an artificial neural network, and determining at least one of whether to halt processing of the substrate or an adjustment for a processing parameter based on the characterizing value. The artificial neural network has a plurality of input nodes to receive the plurality of component values, an output node to output the characterizing value, and a plurality of hidden nodes connecting the input nodes to the output node.

Abstract: The present disclosure provides systems, apparatuses, and methods for monitoring building efficiency by a heating, ventilation, and air conditioning (HVAC) system. In an aspect, an HVAC unit including a memory and a processor coupled with the memory is disclosed. The processor may be configured to establish a current building efficiency state value of a current run cycle of the HVAC system. The processor may also be configured to determine an building efficiency state deviation value based on a difference between an average building efficiency state value of a set of previous building efficiency state values and the current building efficiency state value. The processor may further be configured to determine whether the building efficiency state deviation value satisfies a building inefficiency threshold.

Abstract: A method (1000) for condition monitoring is disclosed, comprising registering (1010) values (v1) of movement characteristics measured for cycles of motion of a cyclically moving machine, associating (1050) the occurrence of values in a frequency distribution (Fv1) of the values with respective defined indexes (a, b, c, . . . ) based on intervals, generating (1060) a word string (S) of the defined indexes corresponding to the occurrence of the values, segmenting (1070) said word string (S) into a sub-set of words (s1, s2, . . . , si), determining (1080) a frequency of the occurrence of the segmented words in said word string as a first reference term frequency (TF1), associated with a first machine status (M1), for subsequently registered set of values of movement characteristics, determining (1100) a subsequent term frequency (TFn), comparing (1110) the subsequent term frequency (TFn) with the first reference term frequency to determine a correlation with the first machine status.

Abstract: Apparatuses and methods for dimensioning and modifying a part to be manufactured are provided. Part information for a part to be manufactured is received by a processor, where the part information includes a model and print of the part. Tolerance datum are extracted from the print and a manufacturability datum is determined as a function of the model and tolerance datum. Updated tolerance datum is generated and a manufacturability of the part is determined. A manufacturing quote and user feedback is provided.

Abstract: A controller for controlling an energy discharge from an energy saving device to a power grid. The system includes decision logic to implement a local response responsive to events currently occurring in a power grid and in addition remote commands sent from a remote location.

Abstract: Computer-implemented methods and structures deploy a heating ventilation and air conditioning (HVAC) energy optimization program. A standard operating control platform (OCP) is deployed in an energy optimization control engine (EOCE) computing system communicatively coupled to a plurality of HVAC components via a building automation system (BAS). An energy optimization portal (EOP), which receives from the EOCE computing system a first data set identifying the plurality of HVAC components, a second data set including operational control parameters for each of the plurality of HVAC components, and a third data set including measured operations data associated with each of the plurality of HVAC components. The EOP generates an energy optimized operating control platform based on the first, second, and third data sets, which is automatically communicated from the EOP to the EOCE computing system.

Abstract: Examples of a predictive maintenance method includes determining whether analog data measured in a substrate treatment that has used a recipe exceeds an allowable threshold which corresponds to the recipe and has been determined beforehand, and notifying, in a case where it is determined that the analog data exceeds the allowable threshold in the determination, a user that a relating module which has been associated with the analog data beforehand has deteriorated.

Abstract: An energy management system is configured to calculate a percentage of satisfied based on the report data for each of the plurality of buildings; create, for each of the plurality of buildings, a plan for operating each of the air-conditioning facilities based on the percentage of satisfied and a predetermined target percentage of satisfied; calculate a first energy consumption amount based on the first piece of data; calculate a second energy consumption amount based on the second piece of data, the third piece of data, and the fourth piece of data, the second energy consumption amount being obtained when the each of the air-conditioning facilities is operated after a lapse of a predetermined time period; and control, when the first energy consumption amount is larger than the second energy consumption amount, the operation of the each of the air-conditioning facilities so as to achieve the second energy consumption amount.

Abstract: A method for controlling a heated process of an electric heater includes obtaining a setpoint variable indicating a target temperature of the heater. The method includes identifying an energy profile for the heater based on the setpoint variable. The energy profile provides a defined magnitude of initial electrical energy to be applied to the heater to have a temperature of the heated process reach the target temperature. The method includes obtaining a process variable indicating a performance characteristic of the heated process. The method includes providing electrical energy to the heater based on at least one of the energy profile and the process variable.

Abstract: A building management system (BMS) for filtering a fluid within a building is shown. The system includes one or more sensors configured to measure one or more characteristics of a first fluid within an air duct of the BMS and measure one or more characteristics of a second fluid after the second fluid has been filtered. The system further includes a pollutant management system configured to receive data from the one or more sensors and control a filtration process. The filtration process selects a filter of a plurality of filters based on at least one of a level of the one or more characteristics of the first fluid or the one or more characteristics of the second fluid.

Abstract: A machine learning device performs machine learning with respect to a plurality of servo control units corresponding to a plurality of axes. A first servo control unit related to an axis receiving interference includes a compensation unit that compensates for at least one of a position error, a velocity command, and a torque command of the first servo control unit based on at least one of a variable related to a position command and a variable related to position feedback information of a second servo control unit related to an axis generating the interference. The machine learning device acquires state information including first and second servo control information and a coefficient of the function, outputs action information and a reward value for reinforcement learning, and updates a value function on the basis of the reward value, the state information, and the action information.

Abstract: An air conditioning control apparatus acquires an audio signal for controlling air conditioners (outdoor units and indoor units) from a mobile terminal via the Internet. The air conditioning control apparatus specifies from among the air conditioners at least one air conditioner to be controlled based on the acquired audio signal. The air conditioning control apparatus generates control commands for controlling the specified air conditioner based on the acquired audio signal. The air conditioning control apparatus transmits the generated control commands to the specified air conditioner.

Abstract: An industrial integrated development environment (IDE) provides a development framework for designing, programming, and configuring multiple aspects of an industrial automation system using a common design environment and data model. Projects creating using embodiments of the IDE system can be built on an object-based model rather than, or in addition to, a tag-based architecture. To this end, the IDE system can support the use of automation objects that serve as building blocks for this object-based development structure. These automation objects represent corresponding physical industrial assets and have associated programmatic attributes relating to those assets. Automation objects can be maintained in shared libraries that can be referenced by system projects. The IDE system can notify projects that reference these automation objects of updates to the object libraries, including edits to existing objects or addition of new objects.

Abstract: A device such as a smart thermostat is provided for controlling heating and cooling systems. The device is operable to execute an energy control program to control the heating and a cooling systems based upon different control strategies: a first control strategy that compares the at least one temperature setpoint in the programming schedule to the current measured dry bulb temperature to determine whether to engage or disengage the heating and a cooling systems, and a second control strategy that compares the at least one temperature setpoint in the programming schedule to a normalized humidex temperature to determine whether to engage or disengage the heating and a cooling systems, the normalized humidex temperature being the current measured dry bulb temperature modified by historical humidity values to provide an indicator of thermal comfort within the premise.

Abstract: A method for identifying pitch error and yaw error of a numerically-controlled (NC) machine tool, including: acquiring a Cartesian coordinate system of a target machine tool; setting each axis of the Cartesian coordinate system as movement axis, where each movement axis has three measurement trajectories, and the three measurement trajectories are mutually parallel to the corresponding axis, and not on the same plane; selecting an axis as the movement axis; and obtaining positioning error data between an actual operation measurement point and an ideal operation measurement point of the target machine tool when the target machine tool moves along the three measurement trajectories corresponding to the movement axis; and according to spatial angle geometric relationship and the positioning error data, obtaining a pitch error angle and a yaw error angle of the target machine tool.

Abstract: There are disclosed a vibration control device and a vibration control method that control shaft torsional vibration and machine stand vibration without installing a special sensor or measurement instrument. A vibration control device includes an amplification factor change unit that changes an amplification factor of an amplification unit used for amplifying a deviation between a command value and a detection value in a servo amplifier, a vibration detection unit that measures the frequency and the amplitude of vibration superimposed on a moving part, and a filter change unit that changes a filter based on the frequency and the amplitude detected by the vibration detection unit.

Abstract: A method for determining a status of one of multiple machine components of a machine on the basis of a digital machine model, wherein the digital machine model describes the multiple machine components, includes the steps of: determining component manufacturer data of the multiple machine components; determining machine manufacturer data of the multiple machine components; determining machine operator data of the multiple machine components; and determining the status of the one of the multiple machine components by linking the determined component manufacturer data, the determined machine manufacturer data and the determined machine operator data.

Abstract: An industrial automation component, a computer program and a computer-readable medium and method for configuring an industrial automation component, wherein at least one feature of the industrial automation component that is not configurable with an engineering system supporting the component, non-supported feature, is configured by interpreting a description of a configuration of the at least one non-supported feature with an on-board compiler of the component and integrating the interpreted description to a basic configuration having been generated with the engineering system and with respect to at least one further feature, supported feature, of the component.

Abstract: A programmable display device includes: an obtaining section for obtaining data; a setting accepting section for accepting, via a setting screen displayed in response to predetermined operation, a process setting for a content of a process to be executed for the data and information for executing the process; and a process executing section for executing the process in accordance with the process setting, the setting accepting section accepting the process setting in a state where the obtaining section is executing the obtaining of the data.