Abstract: The embodiment of the present disclosure provides an Industrial Internet of Things for inspection data processing, comprising a management platform. The management platform is configured to perform operations including: determining an inspection task, the inspection task including detecting at least one detection site; sending instructions to an inspection robot based on the inspection task to move the inspection robot to a target position to be inspected; obtaining detection data based on the inspection robot, and determining subsequent detection or processing operations based on the detection data.

Abstract: A system for manipulating a 3D object for a computing device is provided. A computer device identifies one or more sensors worn by a user, wherein the one or more sensors track the user's hand and finger movements. The computing device monitors during production of a three dimensional (3D) object, the one or more sensors for modification to a holographic projection representing the 3D object, wherein the user's hand and finger movements modify the holographic projection representing the 3D object. A computing device identifies a modification to the 3D object represented by the holographic projection. A computing device generates a modification request based, at least in part, on the identified modification. The computing device updates production of the 3D object, based, at least in part, on the modification request.

Abstract: In an example, a method includes receiving, at a processor, object model data representing an object that is to be generated by an additive manufacturing apparatus by fusing build material within a fabrication chamber wherein a dimensional compensation has been applied to the object model data based on an expected object placement position. The method may comprise receiving, from the additive manufacturing apparatus, an indication of an object generation placement position within a fabrication chamber where the object is to be generated and comparing, by the processor, the expected object placement position with the object generation placement position. If the expected object placement position matches the object generation placement position, the method may comprise determining, by the processor, that the dimensional compensation is valid and otherwise determining, by the processor, that the dimensional compensation is invalid.

Abstract: Toolpath generation for additive manufacturing systems involves operations on polygonal contours derived from a model for additively manufacturing a structure. One aspect involves modifying or creating a model to allow parts to be printed without starting and stopping the printing equipment by generating continuous toolpaths or toolpaths having a reduced number of isolated paths. Another aspect involves modifying a slicing engine to generate a continuous toolpath or toolpath having a reduced number of isolated paths based on a representation of an object to be additively manufactured. Another aspect involves selectively placing the gaps at alternating positions among the sliced layers to create a zippering effect.

Abstract: An industrial automation system may include an automation device and a control system communicatively coupled to the automation device. The control system may include a first module of a number of modules, such that the first module may receive an indication of a target variable associated with the industrial automation device. The first module may then receive parameters associated with the target variable, identify a portion of data points associated with controlling the target variable with respect to the parameters, generate a model of each data point of the portion over time with respect to the parameters based on the data points, determine functions associated with the model. The functions represent one or more relationships between the each data point of the portion with respect to controlling the target variable. The first module may then adjust one or more operations of the automation device based on the functions.

Abstract: The determination of a slip constant is simplified upon driving a motor for which the slip constant is unknown, based on the acceleration time when accelerating an induction motor from start up to a predetermined rotation speed. A parameter determination support device for motor driving includes: an automatic measurement part which automatically measures characteristic information including the acceleration time upon driving an induction motor to accelerate from start up to a predetermined rotation speed set in advance, relative to each slip constant, based on a plurality of slip constants set in advance; and an estimation part which estimates, as the slip constant of the induction motor, a slip constant at which the acceleration time up to a predetermined rotation speed becomes the shortest, among a plurality of slip constants, based on the characteristic information.

Abstract: In one or more embodiments, one or more systems, one or more methods, and/or one or more processes may: store, by an integrated circuit (IC) of an information handling system (IHS), first multiple fan speed values and second multiple fan speed values; determine, by the IC, that a baseboard management controller is impaired to control fans of the IHS; if the IHS is in the information processing mode: provide, by the IC, the first multiple fan speed values to fan modules; and set, by the fan modules, fan speeds of fans of the IHS based at least on the first multiple fan speed values; and if the IHS is not in the information processing mode: provide, by the IC, the second multiple fan speed values to the fan modules; and set, by the fan modules, the speeds of the fans based at least on the second multiple fan speed values.

Abstract: A building system operates to receive building data from one or more building data sources associated with the building, wherein at least a portion of the building data is associated with control of the one or more environmental conditions of the building and generate, based on the building data, one or more data quality indicators for the building data received from the one or more building data sources, the one or more data quality indicators indicating quality levels of the building data. The building system operates to generate user interface data configured to cause a user device to display a user interface providing indications of the one or more data quality indicators.

Abstract: A control method for digital light processing (DLP) printing based on an absorbance of a photocurable material includes: adding a light absorber to a photocurable material for DLP printing, measuring a liquid absorbance and a solid absorbance per unit thickness of the photocurable material at different concentrations of the light absorber, calculating an actual solid-liquid absorbance ratio, and comparing the ratio with a theoretically predicted value of a solid-liquid absorbance ratio to obtain an actual concentration of the light absorber in the photocurable material; measuring a curing threshold time of the photocurable material, substituting the solid absorbance per unit thickness, the liquid absorbance per unit thickness and the curing threshold time into a single-layer curing model to obtain a relationship between an exposure time tT and a curing thickness H; this method can accurately obtain the exposure time corresponding to the thickness of any material that needs to be printed.

Abstract: A method for marking a printed object is disclosed. For example, the method includes printing a three-dimensional (3D) object via a fused filament fabrication (FFF) printer, receiving a desired color marking to be marked on a surface of the 3D object, and controlling a point energy source to emit energy on a thermal treatment layer of the 3D object in accordance with the desired color marking.

Abstract: A drilling machine performs a feed operation while rotating a spindle, suspends the feed operation of the spindle for a predetermined dwell time at a predetermined hole bottom position, and then performs drilling by retreating the spindle. A controller for controlling the drilling machine calculates the dwell time based on a prescribed rotation amount in response to specification of the prescribed rotation amount (dwell rotation amount) at the hole bottom position.

Abstract: A method for additive fabrication by 3D printing includes processing model data representing material transition boundaries of an object to be printed to form build data for use in controlling printing of a plurality of successive layers to form the object, the build data comprising, for each location of a plurality of locations in a two-dimensional arrangement, material transition data for representing heights of material transitions in a third dimension, and repeating for each layer of the plurality of successive layers, receiving surface height data representing a height of a partial fabrication of the object at respective locations of a plurality of locations on a surface of the partial fabrication for each location of the plurality of locations, using the height at the location to access the material transition data corresponding to the location in the build data, and using the material transition data to determine material to be deposited at that location, and causing emission of the determined material

Abstract: A method for manufacturing a part by additive manufacturing, the part to be manufactured including at least one portion to be held forming an angle of less than 45° with respect to a building direction of the part to be manufactured, the portion to be held having a first lateral surface and a second lateral surface opposite each other, the method comprising the steps of: providing a digital model of the part to be manufactured, adding to the digital model at least one holding element positioned on one side of the portion to be held, so as to be in contact with said first lateral surface or said second lateral surface.

Abstract: A system comprising a scanner to scan the airman or soldier (subject), a processor to receive, from the scanner, a non-manifold three-dimensional (3D) digital surface model (DSM) scan data representative of the subject, and a computer-aided manufacturing (CAM) device. The processor recognizes anatomical features on the 3D surface model including the cephalic (head) region of the scanned subject; stores each sub region defined by anatomical features as a non-manifold 3D surface model; creates a surface offset from the DSM sub region; creates a closed volume within and between the DSM sub region and the offset surface representative of a solid 3D pilot flight equipment; and causes a computer-aided manufacturing (CAM) device to manufacture the solid 3D pilot flight equipment.

Abstract: The disclosure relates to a method and a device for producing a product and to a computer program product. The product is produced in at least one production step. A quality control check is optionally carried out after at least one of the production steps to determine a quality index of the product in question. To save on the quality control check, a quality indicator of the product in question is determined using production data. The production data are advantageously provided by sensors. The quality indicator of the product in question may be calculated using an adaptive algorithm. The adaptive algorithm may be taught and/or improved using quality indices of a quality control unit and the corresponding production data. The adaptive algorithm may be taught with the aid of a further computing unit, in particular in a cloud.

Abstract: A safety switch with differentiated CPUs comprises a switching device (2) associated with a fixed part of an access to be controlled and having switching means connected to one or more circuits of the system for the opening/closing thereof, a driving device (3) associated to a movable part of the access to interact with the switching means for opening/closing of one or more circuits, control means (6) associated with the switching device (2) and adapted to receive input signals from the circuits through respective communication buses for sending an error signal and/or for stopping the system in case of no signal or detection of non-compliance, wherein the control means (6) comprise a main CPU (7) connected with the communication buses (9) associated with safety functions and at least one auxiliary CPU (8) connected solely to the communication buses (12) associated with circuits and/or devices not related to safety conditions.

Abstract: An indoor air quality control system may be implemented to control a plurality of air handling units within an industrial facility in a concerted effort to effect an overall air quality goal. A remote server analyzes sensor data, historical data, and other environmental data (e.g., predicted weather data), and uses one or more machine learning algorithms to model the behavior of air within the facility. The sensed air quality data is considered holistically to understand the overall condition of the facility and the gradient of air flows and/or contaminant flows within the 3-dimensional space. Air handling models are applied to current sensor data to generate instructions to selectively turn on/off or otherwise control components of various air handling equipment to reach an optimized air quality result. Decisions on how to control the facility are based on environmental health and safety considerations.

Abstract: The present disclosure describes a solution to monitor, control and share HVAC operation state information and the analysis thereof based on a distributed computing system involving local building automation servers (BAS), a network based (cloud-based) system and client terminals. On the network based system, a client level virtual machine launches a container process for a client, which includes a background sub-process and a foreground sub-process. The background sub-process collects and analyzes HVAC data without client interaction. The foreground sub-process is setup upon the launching of the container process, but is fully activated until suitable client interaction is detected. The foreground sub-process pushes for a more comprehensive set of HVAC operation data through the BAS server and analyzes and presents the data and analysis result in substantially real time to the client through the client terminal with a higher data updating rate than the background sub-process.

Abstract: A method and communication system for transmitting time-critical data, wherein selected datagrams are assigned to data streams and transmitted via paths for the data streams, where reservation requests are transmitted to a higher-level communication controller to reserve resources to be provided by the communication devices for transmitting data streams, in each case via a reservation function component, which is assigned to a first or second communication terminal or a communication device that is connected to the communication terminal and forwards datagrams, and where in the event of reservation requests, the higher-level communication controller ascertains a respective path and checks whether sufficient resources for transmitting the data streams while maintaining the specified service quality parameters are available in communication devices along the respective path, and the higher-level communication controller ascertains a proposed local cycle duration for selected communication devices.

Abstract: According to one embodiment, an air-conditioning control device includes model storage and a processor. The model storage is configured to store a discomfort probability model which estimates a value of discomfort of an occupant by a pair of time elapsed after an energy-saving operation of an air conditioner is turned on and before the energy-saving operation is turned off by the occupant, and an air-conditioning state at the time when the energy-saving operation is turned off. The processor is configured to acquire a current air-conditioning state during the energy-saving operation of the air conditioner, and turn off the energy-saving operation, based on occupant's discomfort estimated from the discomfort probability model.