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.

Abstract: An evaluation apparatus includes a storage unit that stores a model modeling a state of a facility provided in a plant, a simulator that adjusts a parameter that is set in the model so that a difference between an actual measurement value based on a process value of the facility in a first state and a first simulate value calculated by using the model is equal to or less than a threshold, and an estimation unit that estimates a first estimated operating point that indicates an operation state of the facility in the first state based on the adjusted parameter.

Abstract: A method includes identifying a recipe for depositing a plurality of layers on a substrate in a processing chamber of a substrate processing system. The recipe includes iterations of a set of processes. Each iteration is for depositing at least one layer. The method further includes determining iteration adjustments to cause uniformity of the layers. Each iteration adjustment corresponds to a respective iteration. The method further includes determining multipliers to cause an adjustment in thickness of one or more layers of the layers. Each multiplier of the multipliers corresponds to a corresponding iteration. The method further includes storing the iteration adjustments and the multipliers as stored iteration adjustments and stored multipliers. The layers are deposited on substrates based on the recipe and the stored iteration adjustments and the stored multipliers.

Abstract: A sequencing model may be utilized for captured steps of a workflow of an application. The sequencing model may determine processes and state transitions for the captured steps. A variance, a judgment action, or a rule-based action may be identified based on the sequencing model and changes of a log file of actions in relation to the captured steps. A hierarchy may be generated based on the identified variance, the judgment action, or the rule-based action to automatically generate an automated workflow for robotic process automation (RPA) by a robot.

Abstract: Machine elements can be displaced along disjoined path sections by position-controlled machine axes. Movement guidance of the machine elements from the end of a path section to the beginning of a directly following path section along a previously unknown path is provided, wherein location, velocity and acceleration are continuous along the previously unknown path and at the transitions between the path sections and the previously unknown path. Velocity, acceleration and jerk are limited. A preliminary axis guidance and a corresponding required axis time is determined for each of the axes. A greatest required axis time is determined therefrom which is then set as a final axis guidance for this axis. For other axes whose preliminary axis times are smaller than the greatest required axis time, the respective preliminary axis guidance is matched to the greatest required axis time, which is then adopted for the other axes as final axis guidance.

Abstract: A sequencer system for an ejection assembly may comprise a first A-side controller and a second A-side controller in operable communication with the first A-side controller. A first B-side controller may be in operable communication with the first A-side controller. A second B-side controller may be in operable communication with the first B-side controller and the second A-side controller. The controllers may be configured to each make an initial ejection sequence determination and a verified ejection sequence determination. The controllers may make the verified ejection seat determination based on a two of three voting scheme.

Abstract: A method and a device for controlling self-cleaning of an air conditioner are provided. The method comprises: acquiring operation duration, operation status parameters and air quality parameters of an air conditioner; determining an equivalent operation duration for the air conditioner according to the operation duration, operation status parameters and air quality parameters of the air conditioner; and controlling the air conditioner to perform self-cleaning when the equivalent operation duration for the air conditioner is greater than a cleaning duration threshold value. The method may prevent a problem of delayed cleaning or premature cleaning of the air conditioner which is caused by pre-estimating a self-cleaning frequency merely according to one variable which is a booting duration.

Abstract: A building automation system (BAS) platform includes one or more processors configured to provide an operating environment for developing and executing a plurality of building automation and control microservices. At least one of the plurality of building automation and control microservices is configured to receive live data from remote building equipment and provide control signals to the remote building equipment. The BAS platform further includes one or more application programming interfaces configured to interact with third-party building automation and control applications that run within the operating environment.

Abstract: An arithmetic device includes: a storage unit for storing a plurality of machining programs for wire electrical discharge machining, each program being associated with a machining condition corresponding to the machining program; an acquisition unit for acquiring an adjustment ratio of the machining condition input by an operator; and a storage control unit for, when the acquisition unit acquires the adjustment ratio, storing the acquired adjustment ratio in the storage unit in association with the machining program.

Abstract: Various embodiments relate to additive manufacturing in which the Langmuir equation can be used to predict composition in the processing. This equation can be integrated into a model with knowledge of elemental solubility and relative reactivity of relevant elements in the additive manufacturing processing. Use of thermodynamic principles can be programmed into a finite element modeling strategy integrating the Langmuir equation, coupling the thermal fields of additive manufacturing and the surrounding environments with the rules and/or equations to predict solute pickup and/or solute loss. The modeling strategy can be implemented to identify the elements in relative concentrations to be used in the additive manufacturing processing to provide for the controlled loss of certain elements to prevent absorption of unwanted elements into molten material, formed by additive manufacturing, from the atmosphere around the molten material. Additional systems and methods are disclosed.

Abstract: In an example implementation, a method of compensating for dimensional variation in 3D printing includes receiving a 3D object model that represents a 3D part to be printed. The method also includes receiving a build material type and a position for printing the 3D part within a build volume. The method includes determining from the position, target subvolumes of the build volume into which the 3D part is to be printed, retrieving a dimensional compensation factor associated with each target subvolume, and then applying each dimensional compensation factor to the 3D object model to scale the 3D part according to the position of the 3D part within the build volume.

Abstract: In one example, a representation of a volume of a part to be printed by an additive manufacturing system is generated, where the representation depicts a plurality of voxels. A plurality of slices of the representation are generated. Each slice relates to a plurality of voxels within a first plane. A first process is performed in respect of a slice of the plurality of slices, wherein in the first process at least one voxel that has a predetermined colour and is located on a predetermined surface of the part is identified and a data file is updated to include data representative of the identified at least one voxel. The first process is repeated in respect of another slice. A three-dimensional preview of the part to be printed is generated based on the data file.

Abstract: High intensity multi-directional FDM 3D printing method for stereo vision monitoring involves intelligent control and computer vision technology. Specifically, it involves multi-directional 3D printing hardware platform construction, stereo vision detection, laser heating to enhance the connection strength between various parts of the model, so as to reduce the use of external support structure as much as possible on the premise of ensuring the printing accuracy, and make the various parts of the model can be well connected to enhance the integrity of the model.

Abstract: A foot presence sensor system for an active article of footwear can include a sensor housing configured to be disposed at or in an insole of the article, and a controller circuit, disposed within the sensor housing, configured to trigger one or more automated functions of the footwear based on a foot presence indication. In an example, the sensor system includes a capacitive sensor, and the sensor is configured to sense changes in a foot proximity to the sensor in footwear. A baseline or reference condition for the capacitive sensor can be updated to accommodate different use conditions.

Abstract: A computer-implemented method for providing explainable diagnostics for an electromechanical device. The method can include receiving data from an electromechanical device regarding a potential issue in the electromechanical device; curating the data with a machine learning model; receiving ground truth data associated with the curated data from a user of the electromechanical device; comparing the curated data with the ground truth data; and optimizing the machine learning model based on the comparing.

Abstract: The disclosure relates to a device and a method for controlling the throughflow of blow-molding fluid during the blow molding of containers. It is the intention to provide a control device and a control method which permit a controlled or defined growth and a defined propagation of the container bubble formed by the expanding preform in the pre-blowing phase of the blow molding process without the specification of a specific setpoint value profile or of a setpoint value curve.