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: 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: A method for computer-supported simulation of operation of a machine working in an automated manner, the machine being controllable during real operation via software on a programmable logic controller, wherein simulated control of the machine via software on a simulation computer is performed based on a predefined execution pattern, where the temporal execution sequence of processes executed by the software code and starting time points of processes are defined based on a virtual time and the execution time point of each process is set to zero in the virtual time in the predefined execution pattern, and during the simulation, the next process, which follows an ended process according to the execution sequence, is not started until a process in the real time of the simulation computer has ended, and where the virtual time is set to the starting time point of this next process when the next process is started.

Abstract: A cutting apparatus includes a management unit having a measuring unit for measuring an amount of light emitted from a light emitter and received by a light receiver while a cutting blade is positioned between the light emitter and the light receiver, a measured waveform forming section for forming a measured waveform representing the configuration of an outer circumferential region of the cutting blade, and an ideal waveform recognizing section for recognizing one of the comparative waveforms that has the greatest number of waveform regions similar to the measured waveform as an ideal waveform, a difference calculating section for calculating the area of a region where there is a difference between the measured waveform and the ideal waveform.

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: 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 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.

Abstract: Disclosed is an intelligent control system of spunlace production line, which includes a data acquiring module, which is used for acquiring and storing real-time production line data; the production line data includes cotton feeding roller value, real-time moisture value, real-time speed value and real-time gram weight value; the data process module is used for classify and controlling that production line data, and giving the adjustment opinions of the cotton feeding roller parameters; the parameter control module is used for verifying the parameter adjustment opinions and applying the opinions to the control system; the data acquiring module, the data processing module and the parameter control module are connected in sequence.

Abstract: Disclosed is a method for providing control data for an additive manufacturing device. The method includes accessing computer-based model data of a section of the object to be manufactured, defining a first portion and an adjoining second portion within the object section, and producing a data model of a region of a layer of the object section. Within the region a first portion cross-section cuts through the first portion and a second portion cross-section cuts through the second portion. An energy input parameter in the data model has, on average, a different value in the first portion cross-section than in the second portion cross-section and the energy beam is moved over the boundary of the first and second portion. Control data corresponding to the data model is provided for the generation of a control data set for the additive manufacturing device.

Abstract: Described herein are methods and manufacturing systems that select fasteners for pre-feeding and, in some examples, pre-feed the selected fasteners. These methods involve aggregating historical manufacturing data, comprising hole identifications and fastener grip lengths, previously selected for these hole identifications. A specific grip length and a corresponding fastener repeatability rating are then determined for each hole identification from this historical manufacturing data. For example, a specific grip length corresponds to the most frequently selected grip length for this hole identification. In some examples, the historical manufacturing data is analyzed using machine learning. The fastener repeatability rating is compared to an operating threshold, in some examples, to determine if the corresponding grip length should be selected for a particular hole location.

Abstract: A method for visually displaying a facility mimic diagram of a technical facility which has an operator station server and an operator station client, wherein the method includes transferring the facility mimic diagram from the operator station server to the operator station client, where the facility mimic diagram includes an alarm signal indicator, communicating a duration for visually displaying the indicator, visually displaying the facility mimic diagram with the alarm signal indicator, informing the operator station client about an emergence of a new alarm signal in the management system via a message, determining a value an actual display time has to visually display the alarm signal indicator, determining whether a display time for the visual display of the alarm signal indicator with the new alarm signal would overshoot the value of the duration, limiting the visual display of the alarm signal indicator when the available duration is overshot.

Abstract: A method can include obtaining a set of images of a set of occupants located in an interior environment. The interior environment can have a first temperature. The method can include identifying, based on the set of images, a set of occupant characteristics corresponding to the set of occupants. The method can include obtaining a second temperature of an external environment. The method can include generating, by comparing the set of occupant characteristics to the second temperature, a discrepancy factor. The method can include determining that the discrepancy factor exceeds a threshold. The method can include initiating, in response to the determining that the discrepancy factor exceeds the threshold, a modification of the first temperature.

Abstract: Disclosed herein is technology for performing predictive modeling to identify inputs for a manufacturing process. An example method may include receiving expected output data for a manufacturing process, wherein the expected output data defines an attribute of an output of the manufacturing process; accessing a plurality of machine learning models that model the manufacturing process; determining, using a first machine learning model, input data for the manufacturing process based on the expected output data for the manufacturing process, wherein the input data comprises a value for a first input and a value for a second input; combining the input data determined using the first machine learning model with input data determined using the second machine learning model to produce a set of inputs for the manufacturing process, wherein the set of inputs comprises candidate values for the first input and candidate values for the second input.

Abstract: The feedback control device takes information regarding a control deviation between a measured value and a target value of a controlled object as input, and outputs a control amount for the controlled object; comprising: a first control unit that takes information regarding the control deviation as input, and outputs a first control amount for the controlled object; a second control unit that takes information regarding the control deviation as input and outputs a second control amount for the controlled object, and in which a parameter for calculating the second control amount is determined by machine learning; an operation unit that operates the controlled object using the first control amount output from the first control unit and the second control amount output from the second control unit; and a sampling unit for thinning out at a predetermined period information regarding the control deviation input to the second control unit.

Abstract: A method for registering an HVAC device in a distributed building management system (BMS). The method includes requesting a token. The token is configured to authorize a registration of the HVAC device. The method further includes receiving the token at a registration service, and receiving a unique ID associated with the HVAC device at the registration service. The method also includes registering the device into a document database of the registration service and generating a device shadow associated with the HVAC device. The method also includes storing the device shadow in the distributed BMS.

Abstract: A method, performed by at least one processor, comprising generating a first set of images representative of configuration data associated with an industrial automation system. An electronic display may display at least one image of the first set of images. The processor may detect a change in the configuration data and retrieve updated configuration data from the industrial automation system. The processor may encode the updated configuration data into a second set of images and display at least one additional image of the second set of images on the electronic display.

Abstract: A system for remotely controlling and documenting valve lubrication. The system includes an operator unit programmed to communicate with a remote controller unit that actuates the transfer of lubricant to user-selected valves.

Abstract: A control apparatus for controlling an industrial machine includes a deterioration diagnostic unit that has a diagnostic function, which is repeatedly executed at predetermined timing, for diagnosing deterioration of each component of the industrial machine and outputs an alarm signal in response to deterioration equal to or more than a predetermined level in each component, an alarm control unit that outputs a stop command to the industrial machine based on the alarm signal and informs that the industrial machine is in an alarm stop state, and a cancellation operation receiving unit that receives the cancellation operation for cancelling the alarm stop state regardless of deterioration of each component. The deterioration diagnostic unit cancels the alarm stop state brought on by the diagnostic function based on the cancellation operation, and allows the industrial machine to operate until the diagnostic function is executed next.

Abstract: A system includes an industrial automation component configured to receive a first voltage from a voltage source to enable the industrial automation component to perform one or more operations, a mechanical device configured to generate a second voltage, and a display configured to present image data. The display is configured to maintain presentation of the image data in absence of the first voltage received from the voltage source or the second voltage received from the mechanical device. The system also includes processing circuitry configured to use the second voltage generated by the mechanical device to adjust the image data presented by the display when the first voltage is unavailable.

Abstract: A functional safety system performs safety analysis on three-dimensional point cloud data measured by a time-of-flight (TOF) sensor that monitors a hazardous industrial area that includes an automation system. To reduce the amount of point cloud data to be analyzed for hazardous conditions, the safety system executes a real-time emulation of the automation system using a digital twin and live controller data read from an industrial controller that monitors and controls the automation system. The safety system generates simulated, or shadow, point cloud data based on the emulation and subtracts this simulate point cloud data from the measured point cloud data received from the TOF sensor. This removes portions of the point cloud data corresponding to known or expected elements within the monitored area. Any remaining entities detected in the reduced point cloud data can be further analyzed for safety concerns.