Abstract: A distributed multi-node control system (100) and method, relating to the field of control technology. The distributed multi-node control system (100) comprises: a first control node (11), a second control node (12), a plurality of servo nodes (20) and a plurality of execution devices (30), the first control node (11) and the second control node (12) being respectively communicationally connected to the plurality of servo nodes (20), the servo nodes (20) being electrically connected to the execution devices (30) and configured to control operating states of the corresponding execution devices (30), the first control node (11) being configured to control an operating state of at least one first servo node (21) among the plurality of servo nodes (20), the second control node (12) being configured to control an operating state of at least one second servo node (22) among the plurality of servo nodes (20).

Abstract: A method for remote monitoring of an industrial machine having a relay based or PLC based controller includes steps of providing a hardware interface module for directly interfacing with the relay based or PLC based controller of the industrial machine, directly interfacing the hardware interface module with the relay based or PLC based controller to identify occurrence of power cycles of the industrial machine, registering the hardware interface module through a portal accessible through a network, communicating the occurrence of the power cycles of the industrial machine detected with the hardware interface module to a database in operative communication with the portal and storing the occurrence of the power cycles within the database, and providing a user interface indicative of performance of the industrial machine based on the power cycles of the industrial machine detected with the hardware interface module and stored in the database.

Abstract: A diagnostics system, for mass flow controller calibration, comprising a controller communicable coupled to a sensor(s) and a valve. The controller controls the valve based on a predetermined set point value and communication from the at least one sensor. The controller determines a number of set point value adjustments and compares results of a calibration operation and a set point value plus a tolerance value. The controller generates a notification message indicating at least one of the predetermined number of set point value adjustments and results of the comparing. The controller calibrates the mass flow controller based on, at least in part, one of a predetermined number of set point value adjustments, results of the comparison, and user input. The notification message can comprise temperature values, valve drive values, sensor flow rate values, gas flow hours, and a remaining number of set point adjustments based on a total fluid hours.

Abstract: Described herein are systems, methods, and other techniques for controlling a velocity of a construction machine operating within a construction site. Sensor data is captured using one or more sensors of the construction machine while the construction machine is moving at the velocity in a forward or a backward direction. An actual surface of the construction site is estimated based on the sensor data. A deviation between a target surface and the actual surface is calculated. An actual performance metric is calculated based on the deviation. The actual performance metric is compared to a target performance metric to determine a velocity adjustment. The velocity of the construction machine is adjusted by the velocity adjustment.

Abstract: A simulation apparatus stores series data of positions of points (point sequence data) regarding feedback data from a motor which drives an axis of a machine tool, selects, from this stored point sequence data, a point which has a great impact on finished quality of a machined surface as a point for use in a simulation process, and performs the simulation process based on data regarding the selected point.

Abstract: A method and a device for planning and/or controlling and/or simulating the operation of a construction machine, in particular in the form of a crane, using a structure data model which contains digital information on a structure to be erected and/or to be worked on. A construction machine which can be linked to such a structure data model and/or can be controlled using such a structure data model. A construction machine data model which contains digital information on different construction machine models is linked to the structure data model or the BIM, characteristics of the available construction machines are already taken into consideration during the planning process, a simulator for training construction machine tasks is configured using the structure data model, and the controller of the construction machine is adapted to the structure data model with respect to specific control functions.

Abstract: Systems and methods for controlling adhesive application are disclosed. The systems and methods may include a controller and one or more sensors configured to measure an amount of adhesive applied to a plurality of substrates by a pump, detect a number of the substrates, determine an amount of adhesive applied per substrate, compare the adhesive applied per substrate to a target value, and adjust a pressure of the pump based on the comparison. The sensor(s) may include one or more of a valve sensor coupled to an adhesive supply, a flow rate sensor coupled to a manifold, a flow rate sensor coupled to one or more hoses, and a flow rate sensors coupled to a gun.

Abstract: Embodiments include a computer-implemented method (and system) for performing automated batch data alignment for modeling, monitoring, and control of an industrial batch process. The method (and system) loads, scales, and screens plant historian batch data for an industrial batch process. The method (and system) selects a reference batch as basis of the batch alignment, defines and adds or modifies one or more batch phases, and selects one or more batch variables based on one or more profiles and corresponding curvatures of the batch data. The method (and system) estimates one or more weightings, adjust one or more tuning parameters and uses a sliding time window combined with DTW, DTI and GSS algorithms, performs the batch alignment in offline mode or online mode.

Abstract: A non-transitory computer-readable storage medium storing a program that causes a computer to execute a process, the process includes acquiring information in a log regarding an operating state of a plurality of robots; based on the acquired information in the log, calculating a first load in each time slot related to control of the plurality of robots; when there is a first time slot in which the first load is higher than or equal to a first threshold, extracting a robot that performs a first task, from the plurality of robots, in the first time slot; and changing a time slot for operating the extracted robot.

Abstract: A control customization system 80 customizes a plant control. A profiler 81 predicts actions of a user depending on situations of the plant or the user. A planner 82 determines an appropriate set of objectives which represent tasks desired by the user, and objective terms representing elements for controlling the plant so as to realize the objectives, and tunes the objective terms based on predictions of the profiler 81.

Abstract: A method for predicting and compensating frictions of a feed system includes following steps: constantly obtaining current signals and angle-position signals of a motor by a motor driver of a feed system after being activated; calculating frictions of the motor upon each rotating position according to the obtained current signals and angle-position signals and generating multiple records of friction data; creating a friction model according to the multiple records of friction data and the angle-position signals each respectively corresponding to each record of friction data with respect to each rotating position; importing current angle-position signal of the motor to the friction model for predicting a predicted friction; calculating a compensation current based on the predicted friction; and, controlling the motor driver to additionally provide the compensation current to the motor for conquering an upcoming friction of the feed system approximate to the predicted friction.

Abstract: A technique is desired that can output a warning to a user before a buffer of a controller runs out of a free space. A control apparatus includes a buffer for buffering log data sequentially generated, an interface unit connectable with an external storage device, a writing unit for sequentially reading the log data buffered to the buffer and sequentially writing the log data to the external storage device while the external storage device is connected to the interface unit, a monitoring unit for monitoring a free space of the buffer, and a warning unit for outputting a warning upon the free space falling below a prescribed value.

Abstract: The present disclosure relates to a device, comprising a first inverter, wherein the first inverter is configured to invert a DC input voltage into an AC output voltage, a first controller, wherein the first controller is configured to provide a reference voltage for the first inverter on the basis of an AC output current of the first inverter, a second inverter, wherein the second inverter is configured to invert a DC input voltage into an AC output voltage, a second controller, wherein the second controller is configured to provide a reference voltage for the second inverter on the basis of an AC output current of the second inverter, wherein the first inverter and the first controller form a first Hopf oscillator, wherein the second inverter and second controller form a second Hopf oscillator, and wherein the first Hopf oscillator is coupled to the second Hopf oscillator.

Abstract: Predictive maintenance methods and systems, including a method of applying transfer entropy techniques to find a causal link between parameters; a method of applying quality weighting to context data based on a priori knowledge of the accuracy of the context data; a method of detecting a maintenance action from parameter data by detecting a step and a process capability improvement; a method of managing unattended alerts by considering cost/benefit of attending to one or more alerts over time and assigning alert expiry time and/or ranking the alerts accordingly; a method of displaying components of a complex system in a functional way enabling improvements in system diagnostics; a method of determining the time of an event indicator in time series parameter data; a method of classifying an event associated with a fault condition occurring within a system; and a method of determining whether an event recorded in parameter data is attributable to an external factor.

Abstract: A method for setting alarm levels for a machine provides defining at least one condition indicator reflecting the condition of the machine with respect to a defect to be monitored of the machine, the at least one condition indicator defined from machine kinematic data, recording measurements of process related parameters during a predetermined period during which the machine is operating normally, calculating at least one condition indicator value for the at least one condition indicator) using machine condition data, determining a graph of the at least one condition indicator value as a function of a first process related parameter chosen from the measured process related parameters, dividing the graph into operating classes, each operating class being representative of different operating conditions of the machine, calculating an alarm level value for each operating class, setting the determined alarm level value at the midpoint of each operating class.

Abstract: A distributed control system includes: a plurality of control devices; a process IO master device shared by the control devices and including an output authority table and an output data memory having areas for storing data outputted from the control devices; and a plurality of process IO modules connected to the process IO master device and each connected to a sensor/actuator, wherein the output authority table provides an authority that determines the control device of which output data is to be adopted, for each of addresses corresponding to the actuators.

Abstract: An automated drywalling system network that including one or more automated drywalling systems that each has a robotic arm. The automated drywalling system network can also include a computational planner that generates instructions for the one or more automated drywalling systems to perform two or more drywalling tasks associated with a target wall assembly. The two or more drywalling tasks can include a hanging task that includes hanging pieces of drywall on studs of the target wall assembly; a mudding task that includes applying joint compound to pieces of drywall hung on studs of the target wall assembly; a sanding task that includes sanding joint compound applied to the pieces of drywall hung on studs of the target wall assembly; and a painting task that includes painting sanded the joint compound applied to the pieces of drywall hung on studs of the target wall assembly.

Abstract: A computer readable network analysis program of performing local modeling analysis of determining an estimated value of a current network quality corresponding to explanatory variable vector in current aggregated data based on a local model including local training data; determining an abnormality in the network based on whether or not a measured value of the current network quality is lower than a threshold; determining whether or not a distribution of the connections having the measured value of the network quality exceeding the threshold is present in a large size; extracting an individual-analysis-target connection group including more than predetermined proportions of connections in the distribution of the connections having the large size; and performing the local modeling analysis to the individual-analysis-target connection group and the remaining connection groups to determine the abnormality in the network.

Abstract: An industrial machine management system includes circuitry that collects changeable setting data of an industrial machine, determines, based on the setting data at each time point of multiple time points, whether a change has been made to the setting data, obtains change information regarding the change when the change is determined as having been made to the setting data, determines whether a predetermined event has occurred in the industrial machine, identifies, when the predetermined event is determined as having occurred, the change information such that the change information is related to the predetermined event, and outputs the change information that is identified.

Abstract: In the technical field of industrial automation, a fault diagnosis method and apparatus for a numerical control machine tool are disclosed which can improve the efficiency of diagnosing faults of numerical control machine tools by utilizing feedback information provided by users. In a fault diagnosis method of an embodiment, the fault diagnosis apparatus receives a fault symptom to be diagnosed from a user terminal, diagnoses the fault for the fault symptom to be diagnosed, returns a fault diagnosis result to the user terminal, receives feedback on the fault diagnosis result from the user terminal, and adjusts the diagnosis policy for the fault symptom to be diagnosed according to the fault diagnosis result if the feedback of the user on the fault diagnosis result indicates that the fault has been cleared.