Abstract: A method for operating a machine control system and a corresponding machine control system uses a portable hand-held terminal for functionally influencing at least one machine controller. The terminal includes at least one emergency stop actuation element for terminating potentially dangerous machine operations. The controller and/or the terminal is adapted for indicating a representation of the control system on the terminal display. The controller and/or the hand-held terminal is adapted for indicating the operational range(s) of the at least one emergency stop actuation element by the terminal display. The controller and/or the hand-held terminal are further adapted for simultaneously representing the operational range(s) of the at least one emergency stop actuation element by selective, fail-safe controlling of at least one lighting device at the hand-held terminal and/or at least one discrete lighting device in or at the at least one emergency stop actuation element at the hand-held terminal.

Abstract: A method for employing a plurality of automated machines to deposit composite material includes a first tool located in a first station and a second tool located in a second station. The first station and the second station are located on a production line. The first station includes at least one automated machine of the plurality of automated machines and the second station includes at least two automated machines of the plurality of automated machines. At least one of the automated machines is movable from the second station to the first station. The method includes monitoring machine capacity and workload requirements of the plurality of automated machines. The method further includes determining an efficiency threshold based upon the machine capacity and workload requirements. The method further includes reallocating at least one of the automated machines from the second station to the first station once the efficiency threshold is met.

Abstract: An apparatus control device includes: at least one processor; and at least one first memory that stores a program executed by the processor, in which the processor acquires input data based on at least one of acceleration and angular velocity generated by application of an external force to an apparatus, classifies a plurality of the acquired input data into a plurality of clusters by an unsupervised clustering method, acquires relationship data representing relationship between the acquired input data and the plurality of classified clusters, and controls movement of the apparatus based on the acquired relationship data.

Abstract: A system and method of configuring monitor blocks and effect blocks associated with a process control system for a process plant includes causing a display device to display a graphical user interface, the graphical user interface indicating a first monitor block, a second monitor block, and an effect block. The system and method further includes enabling a user to input configuration data via the input device, including: (i) configuring one of the outputs of the first monitor block to serve as one of the inputs of the second monitor block, (ii) configuring an additional one of the outputs of the first monitor block and one of the outputs of the second monitor block to serve as inputs to the effect block, and (iii) designating at least one of the plurality of cells of each of the first monitor block, the second monitor block, and the effect block as a trigger associated with the respective input/output pair for the respective cell and corresponding to a condition in the process plant.

Abstract: The present disclosure provides a system of an industrial Internet of Things (IoT) for an automated guided vehicle (AGV) control, a method, and a medium. The method includes: obtaining an AGV circuit layout and forming an AGV operation model; obtaining a feeding time, each AGV being fed for at least once within a preset period; the material end point being a node for receiving material in the AGV operation model; calculating an operation track of each AGV of the AGV operation model within the preset period based on the operation speed and the feeding time; adjusting the operation speed to recalculate the operation tracks until the operation process is qualified; and sending the operation track of the qualified operation process to a user platform through the service platform to display to a user.

Abstract: A server device includes a collecting unit that stores operation history data collected from an air conditioner in a server-side storage device, a learning unit that stores a learning model generated based on the operation history data in the server-side storage device, a sending unit that sends the learning model to the air conditioner such that the air conditioner performs air conditioning inside a room by using the learning model, and an erasing unit that erases the operation history data and the learning model from the server-side storage device when an erasure instruction signal sent from the air conditioner is received.

Abstract: An on-site controller for an HVAC system is operated to maintain temperature and humidity set points inside an enclosed facility. A weather station inside the facility records microclimate data pertinent to environmental conditions inside the facility, and a weather station outside the facility records microclimate data pertinent to meteorological conditions outside the facility. A summing network compares the inside microclimate data with the outside meteorological data to establish an actuating signal. A throttle, responsive to the actuating signal, varies the power demand for the HVAC system to maintain the predetermined set points for environmental conditions inside the facility.

Abstract: In a continuous kneading apparatus according to an embodiment, for each of a plurality of ring-shaped heaters, a control unit determines a current state and a reward for an action selected in the past based on a control error calculated from an acquired temperature; updates a control condition based on the reward, and determines an optimum action corresponding to the current state under the updated control condition, the control condition being a combination of a state and an action; and controls a target ring-shaped heater based on the optimum action.

Abstract: A method of manufacturing a shaver element including at least a shaver handle element (2) for a wet shaver, comprising a digital fabrication step (123) wherein said shaver element is made by digital fabrication technology.

Abstract: Disclosed in the present disclosure are a method and system for controlling an air conditioner, the air conditioner, and a household appliance. The method comprises: data collected by a control device during an operation of the air conditioner is received, wherein the data comprises question information, and at least one of indoor image data and an operation status diagram of the air conditioner located indoors; the collected data is input to a training model to obtain an answer that corresponds to the question information; and the answer is played.

Abstract: A submerged waterborne data center facility that employs a feedback-control system to control any one of a condensation function, depth function, and a wired or wireless data transfer function utilizing on-board and out-board sensors operatively coupled to an operational state change controller, controlling for a hygrostat-coupled heater, depth thruster, and, or a radio frequency modulation unit.

Abstract: Disclosed is an optimal control method of pollutant flux into the coastal waters based on virtual discharge amount, comprising: setting water quality control points and water quality control objectives in target sea areas; constructing response matrix of coastal water quality to pollution source discharged from land, and extracting response coefficient matrix of different pollution sources and different control points for the water quality control points through the response coefficient matrix of coastal water quality to pollution source discharged from land; and establishing a control model for total discharge amount of pollutants into the coastal waters through the response coefficient matrix; and calculating an optimal control amount of flux of the different pollution sources into the coastal waters based on the control model for total discharge amount of pollutants into the coastal waters.

Abstract: A hyperconverged industrial process control architecture is disclosed for controlling an industrial process within a physical process environment using a software-defined distributed control system (DCS) environment. The software-defined DCS environment may be implemented by virtualizing the hardware components of a DCS architecture on a server group to enable both software-defined process controllers and back-end DCS applications to run within the server group. This software-defined DCS network architecture reduces the hardware requirements of the process control system and reduces configuration complexity by implementing control components and higher-level components within a common environment within the server group.

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, including data logging and device configuration parameters. Functional relationships between automation objects can be defined to yield object hierarchies, and object attributes can be propagated across objects up and down the hierarchy.

Abstract: Techniques for performing an emissions demand response event are described. In an example, a cloud-based HVAC control server system obtains a history of emissions rates. Based on the history of emissions rates, a future time period of predicted high emissions is identified. An emission demand response event participation level of an account mapped to a thermostat is determined for the future time period of predicted high emissions. The emissions demand response event participation level may be one of a plurality of emissions demand response event participation levels. based on the emissions demand response event participation level of the account, an emissions demand response event is generated during the future time period of predicted high emissions. The cloud-based HVAC control server system then causes a thermostat to control an HVAC system in accordance with the generated emissions demand response event.

Abstract: An industrial simulation system exchanges data between a virtualized industrial system and an industrial controller at high frequencies and accuracies without the need for additional network emulation hardware. Rather than timing the sending of emulated device data packets from the simulation to the industrial controller using an operating system clock, the simulation system uses the arrival event of a data packet received from the industrial controller as the clock signal that drives the sending of data packets from the virtual system to the controller. Using the arrival time of data packets from the industrial controller as the clock signal rather than the system clock of the operating system can yield high accuracy, low jitter data exchanges during simulation.

Abstract: Various embodiments of the teachings herein include an industrial network behavior analysis method. The method may include: defining a first time window for a target industrial control system, for the target industrial control system to perform a control behavior; respectively determining an execution probability deviation for each control instruction within the first time window and using the execution probability to characterize the ratio of the number of times the corresponding control instruction is executed within a time period to the total number of times the control instruction within the time period; defining a second time window according to the control instruction characterizing a time period when the system performs the corresponding control behavior, and the control behavior is the same as that performed in the first time window.

Abstract: The problem addressed by the present invention is to suitably generate or update an algorithm for a water treatment system. In a filter management server 1 for managing a water circulation management system W for treating wastewater using one or more filters 31, an acquisition unit 101 acquires information necessary for analyzing filter 31 performance or sample water DW. An analytical unit 102 analyzes the one or more filters 31 on the basis of the information acquired by the acquisition unit 101. An analysis results analytical unit 104 analyzes the one or more filters 31 or sample water DW on the basis of the results of the analysis by the analytical unit 102. An update unit 105 updates the algorithm for water treatment on the basis of the results of the analysis by the analysis results analytical unit 104. This configuration solves the aforementioned problem.

Abstract: Method, and corresponding system, for receiving and adaptively compressing sensor data for an operating manufacturing machine. The method includes determining the sensor data values at the working tool positions based on a time correlation of the values of the sensor data relative to time and the working tool positions relative to time. Tool control magnitude values relative to the working tool positions are determined based on the process data. The method further includes determining a magnitude differential, relative to the working tool positions, between the sensor data values and the tool control magnitude values. Scoring data is determined by applying a scoring function to the magnitude differential. The magnitude differential data is compressed based at least in part on the scoring data. The method further includes decompressing the magnitude differential data and determining the sensor data values versus the working tool positions based on the magnitude differential data.

Abstract: Provided are a grid fault detection method and a device. The grid includes at least one AC power source provided by a public grid. The AC power source is coupled to a plurality of parallel circuits, each including a plurality of parallel branches. The parallel branches are each connected with a load and/or a DC power source. The grid fault detection method having the distributed energy resource includes: selecting a first collection point between the AC power source and the plurality of parallel circuits, and collecting a current value and a current direction of the first collection point; comparing an output current and an input current of the first collection point, and upon the input current being greater than the output current, it is determined that the plurality of parallel circuits are faulty. Accordingly, the plurality of collection points check the fault, so as to trigger a protection device.