Abstract: Provided is a molding machine management system that manages production of a plurality of molding machines, including: a display unit configured to display a production performance and a planned production status in association with a time axis for each molding machine, and, when the molding machine management system receives an abnormality of a molding machine, to display the abnormality of the molding machine in association with the time axis for each molding machine. The molding machine management system configured as described above can appropriately manage each molding machine.

Abstract: The present disclosure relates to a heating, ventilation, and air conditioning (HVAC) system including a sensor system configured to detect heat indications within a plurality of areas of a conditioned space, wherein the sensor system comprise a thermal light detector, and a controller configured to receive feedback from the sensor system and, based on the feedback, control airflow distribution, via an airflow distribution system, such that airflow management for each of the plurality of areas is individually correlated to a heat indication detected for the respective area.

Abstract: The present invention provides a linear quadratic regulator (LQR)-based anti-sway control method for a hoisting system, comprising the following steps: obtaining a target position of a trolley, and obtaining a planned real-time path of the trolley according to the maximum velocity vm and maximum acceleration am of the trolley; establishing a dynamic model of the hoisting system according to a Lagrange's equation, for the Lagrange's equation, the trolley displacement x, the spreader sway angle ?, and the rope length l of the hoisting system being selected as generalized coordinate directions; observing lumped disturbance d using an extended state observer, and compensating for same in a controller, the lumped disturbance d comprising the dynamic model error and external disturbance to the hoisting system; tracking the planned real-time path of the trolley by a Q matrix and an R matrix using a linear quadratic regulator controller.

Abstract: A system, method, and device for automated precision control of a computer numerical control (CNC) machine to a workpiece. The system receives via at least one visual input device at least one detectable marking on a workpiece. The system decodes the at least one detectable marking and determines a stored and pre-defined movement routine of a cutting element attached to the CNC machine relative to the workpiece based on the at least one marking. The system then determines, using the at least one visual input device and/or another visual input device, a current position of a working end of the cutting element relative to the at least one marking. Finally, the system performs the pre-defined movement routine including cutting into the workpiece with the cutting element.

Abstract: A method for controlling a filling process, wherein a predetermined filling quantity of a medium is filled into a container, the flow rate of the medium flowing into the container is measured as a time series of measured values for the instantaneous flow rate and a filling quantity already filled is estimated from the time series, wherein at least one current measured value of the time series is corrected on the basis of at least one earlier measured value of an earlier time series of measured values of the flow rate of an earlier filling process.

Abstract: A stochastic model predictive controller (SMPC) estimates a current state of the system and a probability distribution of uncertainty of a parameter of dynamics of the system based on measurements of outputs of the system, and updates a control model of the system including a function of dynamics of the system modeling the uncertainty of the parameter with first and second order moments of the estimated probability distribution of uncertainty of the parameter. The SMPC determines a control input to control the system by optimizing the updated control model of the system at the current state over a prediction horizon and controls the system based on the control input to change the state of the system.

Abstract: A method for computer numerically controlled processing may include generating a user interface to enable the configuration of an edge treatment. The user interface may also be generated to enable the configuration of a design corresponding to a combination of the first object and the second object generated by applying one of a plurality of Boolean operation. A computer numerically controlled machine may be configured to deliver an electromagnetic energy in order to effect, in a material, one or more changes corresponding to the edge treatment and/or the design configured by the user. For example, the one or more changes corresponding to the edge treatment may include a variable depth engraving along at least a portion of a perimeter of a material.

Abstract: A machining step monitoring apparatus includes a data segmentation unit, a data length adjuster, and a determination processor. The data segmentation unit defines machining start time and machining end time of each single cycle, and segments, from a first physical quantity that temporally changes during the cycle machining in the machining machine, first measurement data indicating the first physical quantity from the machining start time to the machining end time for each single cycle. The data length adjuster generates the second measurement data by adjusting the data length of the first measurement data to match with the data length of the determination reference data indicating, as a reference, a change in the first physical quantity during the single cycle when the machining machine is normally operating. The determination processor compares the second measurement data with the determination reference data to determine whether the machining machine is normally operating.

Abstract: A dodge method of machining path and a machining system is provided. By inserting a flag into an original machining path, an interference between the flag and a suction cup of a support unit is determined. A coding instruction is inserted at the interference to edit the original machining path, thereby generating an edited machining path. Therefore, when a machining equipment executes the edited machining path, the support unit may smoothly dodge a knife of the machining equipment.

Abstract: The embodiments described herein provide a system including an intelligent electronic device (IED) comprising a first processor configured to communicate control commands to power equipment, receive measurements from the power equipment, use a secure wireless system to send data to an access point, wherein the data includes the measurements, and use the secure system to communicate with a management device, via the access point, to receive configuration information, command information, or any combination thereof.

Abstract: An industrial gateway device supports interactive feature engineering tools that guide a user through an intuitive process for configuring data analytics for key performance indicators (KPIs) of interest. A feature engineering interface renders an interactive model view that displays available data points such that the data points are organized hierarchically according to plant, machine, machine property, or other elements. The user can select, from this model view, data points having an impact on the KPI of interest. The interface also allows the user to define an executable script that defines a mathematical relationship between the selected data points and the KPI. This configuration yields an output model that defines a reduced set of data points to be collected and analyzed, as well as an executable script for assessing a state of the KPI as a function of the reduced data point values.

Abstract: Provided is a cutting speed planning system including a graphic preprocessing engine, a first speed planning engine, an included angle calculation engine, a second speed planning engine and a speed determination engine. The graphic preprocessing engine substitutes a simplified cutting route for a plurality of short straight paths of a graphic path. The first speed planning engine calculates a reasonable maximum cutting speed of each cutting route. The included angle calculation engine calculates the included angle between two adjacent ones of the cutting routes. The second speed planning engine adjusts the terminal cutting speed and the initial cutting speed of the cutting routes. The speed determination engine performs speed planning on the cutting routes according to digital control system period time. A cutting speed planning method and a non-transitory storage medium are further provided.

Abstract: A method for custom logic engineering in an industrial modular plant executing a production process includes receiving process data for the production process using at least one physical process module; determining a custom process topology by selecting, based on the received process data, at least one module type package, MTP; correlating to the at least one respective physical process module from a database, wherein the module type package is a digital representation of the respective physical process module; selecting at least one extender unit from the database based on the received process data; representing a logical function of the production process; determining connections between the extender unit(s) and the at least one MTP; setting properties of the extender unit(s) based on the received process data; and determining an extended control scheme for controlling dynamic behavior of the production process using the determined custom process topology.

Abstract: A system, method, and apparatus is provided for production processes to coordinate the utilization of the operational zone for process variables and automate the execution of the target settings to maximize the production goals without requiring human intervention.

Abstract: A control system operable to train a control tuner to generate temperature setpoint tracking improvements for a thermal processing system is provided. In one example implementation, temperature setpoint tracking improvements are achieved by generating system controller parameter adjustments based on a difference between a simulated workpiece temperature estimate and an actual workpiece temperature estimate. For example, a system model can generate a simulated workpiece temperature estimate simulating an actual workpiece temperature estimate, and based on the difference between the simulated and actual workpiece temperature estimates, generate clone controller parameter adjustments. The clone controller parameter adjustments can be used to generate system controller parameter adjustments, which can improve temperature setpoint tracking for the thermal processing system.

Abstract: A method of predicting sequence for a manufacturing process to assemble a product based on a target plan for the manufacturing process includes retrieving, from a historical process database, a plurality of surrogate process segments based on the target plan, determining, for each surrogate process segment from the plurality of surrogate process segments, a segment similarity value based on a data analysis model, and generating a target process defining a process sequence for performing the manufacturing process based on the segment similarity values of the plurality of surrogate process segments and a sequence inference model that classifies the process segment of the target plan to sequences defined by the plurality of surrogate process segments. The target process includes data that defines a plurality of selected process steps and one or more workstations for the process segment of the target plan.

Abstract: A machine tool management method, a machine tool management system and a medium are disclosed, the machine tool management method including: determining at least one target component of a machine tool; generating an evaluation result of the machine tool according to a preset processing rule based on the determined at least one target component; for each target component of one or more target components in the at least one target component, acquiring a target evaluation result corresponding to the target component from the evaluation result of the machine tool; determining a preset management rule based on the target evaluation result and type information and attribute information of the target component, and managing the target component according to the preset management rule.

Abstract: A first remote control application is configured to cause a smart device to transmit at least one command for controlling at least one functional operation of a controllable appliance in response to a user interface element of the smart device being activated while a second remote control application of a bridge device is configured to cause the bridge device to transmit at least one command for controlling at least one functional operation of the controllable appliance in response to receiving at the bridge device the at least one command transmitted from the smart device. The at least one command is transmitted from the smart device using a first transmission protocol and the at least one command is transmitted from the bridge device using a transmission protocol recognized by the controllable appliance.

Abstract: A computer-implemented method is provided for determining a cut pattern of a lathe. The lathe is numerically controlled by a control device and includes a tool with a cutter acting on a workpiece. The workpiece has a start contour and a target contour to be achieved by cutting the workpiece according to the cut pattern. The method includes determining a path of a n-th layer of the cut pattern, wherein the n-th layer includes: for n?2: an infeed path linear and/or parallel to the target contour; a circular infeed path starting tangent to the target contour; an intermediate path linear and/or parallel to the target contour; a circular outfeed path ending tangent to the target contour; and for n?2: a smoothing path linear and/or parallel to the target contour.

Abstract: A digital twin management system manages a virtual model that represents an actual physical system in a virtual space on a real-time basis. To generate an integrated virtual model by adding a second virtual model to a first virtual model, a processor of the digital twin system extracts multiple parts that can be used in common in the first virtual model and the second virtual model, generates multiple integrated virtual models that are candidates of an integrated virtual model by changing the extracted parts that can be used in common, calculates an evaluation of each of the generated integrated virtual models, and outputs configuration information regarding each of the integrated virtual model candidates and an evaluation of the integrated virtual model candidate in association with each other.