Abstract: Provided is a thermal displacement correction method using a machine learning method but making it possible to, on a user side, calculate a thermal displacement amount appropriate to a machine tool of the user and correct the thermal displacement. In a machine tool on a target user side, a thermal displacement amount between workpiece and tool corresponding to a temperature at a preset measurement point is calculated based on a parameter defining a relation between the temperature and the thermal displacement amount, and a positioning position for workpiece and tool is corrected in accordance with the calculated thermal displacement amount.

Abstract: A 5-axis processing machine includes a mounting table on which a tool and a work piece are placed; and a control unit; wherein the mounting table is moved relatively by three linear axes and two rotation axes based on NC data, the two rotation axes include a first axis and a second axis, when the control unit calculates a rotation angle of the two rotation axes, the control unit acquires an axis vector Na that specifies an actual first axis direction and an axis vector Nc that specifies an actual second axis direction, the control unit calculates a posture vector K that specifies a posture at a time of processing the work piece with respect to the tool from the NC data, the control unit calculates, as a solution of a following equation (4), an actual rotation angle ? around the first axis of the tool.

Abstract: To change or update each operating pattern and/or an operating condition according to a workpiece feeding state and/or an operating state of a robot. A workpiece transfer system includes: a workpiece infeed device for feeding a workpiece; a robot for transferring the workpiece being fed; a control device for selecting an operating condition of the robot based on a condition related to the workpiece and/or a condition related to the robot, the control device including a storage unit in which plural operating conditions are stored and a selection unit for selecting, as the operating condition of the robot, an optimum operating condition out of the plural operating conditions.

Abstract: This machine tool includes a spindle, a workpiece support section that supports the workpiece, a servo motor that rotates or moves workpiece support section relative to the spindle, and a control device that controls the servo motor, where the control device displays an adjustment screen for adjustment of at least either of a gain and a filter of the servo motor on a display device when the control device recognizes that the servo motor is newly mounted, when a machining program of the workpiece is changed, or when an operation value of the servo motor or a value calculated based on the operation value deviates from a predetermined criterion.

Abstract: A computer implemented method for automatically generating a behavior tree program for controlling a machine includes the steps of: transmitting a sequence of machine commands input by a user from a user interface to a controller, receiving supervision data in the user interface from the controller while the machine commands are executed in the controller controlling the machine, observing and copying the machine commands and supervision data transmitted between the controller and the user interface, storing the machine commands and the supervision data in a logging unit, generating a behavior tree program derived from the stored machine commands and the supervision data by statistical inference, and sending the generated behavior tree program to the controller unit to control the machine.

Abstract: A system and method provides an impact list of affecting equipment elements that affect an industrial sub-process. The method comprises the steps of selecting, in a topology model, the sub-process, wherein the sub-process is an equipment element that is a part of an industrial plant or process, and wherein the topology model is a graph, whose nodes represent equipment elements and whose edges represent interconnections between the equipment elements; traversing the nodes of the topology model, wherein the traversing starts from the selected sub-process and uses a traversing strategy; and for each of the at least one equipment elements, if the equipment element affects the industrial sub-process by an affecting degree greater than a first predefined affecting degree, adding the equipment element to the impact list of affecting equipment elements.

Abstract: A calculation device for a work machine comprising a holding head including a holding tool configured to hold a lead component comprising a lead and a body and a moving device configured to move the holding head, the calculation device calculating a release position of the lead component held by the holding tool, when the work machine mounts the lead component on a board by inserting the lead of the lead component held by the holding tool into a hole formed on the board by operating the moving device.

Abstract: A building management system with artificial intelligence based control of a building includes data collectors are configured to receive data and generate data streams for subsystems of the building. The system includes a learning engine configured to identify a building state of the building by correlating data of the data streams for the subsystems and provide the identified building state to cognitive agents. The system includes the cognitive agents, each of the cognitive agents configured to receive the identified building state from the learning engine, generate a control decision based on the received building state, and operate at least one of the plurality of subsystems of the building to control a physical condition of the building based on the control decision.

Abstract: A controller for a building control system includes processors and memory storing instructions that, when executed by the processors, cause the processors to perform operations including identifying zones within a building, analyzing data associated with the zones, and generating zone groupings based on the data associated with the zones. Each of the zone groupings define zone groups and specify which of the zones are grouped together to form each of the zone groups. The operations also include identifying a particular zone grouping from zone groupings based on the data associated with zones and using the particular zone grouping to generate control signals to operate equipment of the building control system to provide heating or cooling to the zones.

Abstract: A control unit of processing apparatus includes a processing condition storing section that stores processing condition data of the processing apparatus and a display control section that causes a display part to display a processing condition screen relating to the processing condition data. The display control section causes the processing condition screen to display function objects that allow identification of functions to be executed on the basis of the processing condition data by the processing apparatus.

Abstract: This present disclosure provides a method for gate station compressor operation optimization for smart gas, which is implemented based on an Internet of Things system for gate station compressor operation optimization for smart gas. The Internet of Things system includes a smart gas device management platform, a smart gas sensor network platform, and a smart gas object platform interacting in sequence. The method is executed by the smart gas device management platform, comprising: obtaining user features of a downstream gas usage based on the smart gas object platform, the user features including at least a user type; obtaining operation parameters of a compressor based on the smart gas object platform, the operation parameters including at least a rated outlet pressure set by the compressor; and determining a rated outlet pressure adjustment amount of the compressor based on the user features and the operation parameters.

Abstract: A non-transitory computer-readable medium comprising computer-executable instructions that, when executed, cause a processor to perform operations including receiving a first dataset from a first automation component, the first dataset corresponds to raw data acquired by a first sensor; receiving a second dataset from a second automation component, the second dataset corresponds to raw data acquired by a second sensor; receiving data indicating an expected operation related to operations of an industrial automation system including the first and second automation components; determining a signature based on the first and second datasets and the data indicating the expected operation, wherein the signature indicates an unexpected operation as compared to the expected operation; performing a root cause analysis using the signature to determine a relationship indicating a first set of changes of the first dataset corresponding to a second set of changes in the data indicating the expected operation.

Abstract: The embodiments of the present disclosure provide an Industrial Internet of Things based on an event sequence analysis and prediction, a method, and a storage medium thereof. The Industrial Internet of Things includes a management platform, and the management platform is configured to obtain an ordered set of instructions for a preset time period, the ordered set of instructions including a plurality of instructions, and instruction content of each instruction of the plurality of instructions including at least one of instruction type, instruction parameter, and instruction execution time; determine whether there is an abnormal instruction based on the ordered set of instructions; and analyze and modify the abnormal instruction in response to a determination that there is the abnormal instruction.

Abstract: A method for correcting tool parameters of a machine tool for machining workpieces includes recording measurement values of measured characteristics as actual values of at least one workpiece machined with the machine tool. The measurement values are compared with the default set values of the workpiece. The measurement values of at least two measured characteristics are recorded from at least two parameters of at least one measured characteristic and/or from at least one measured characteristic and from at least one parameter. An average for a tool correction value is calculated from the measurement values and the corresponding set values, with which a correction of the machine tool is performed.

Abstract: A system and method are disclosed for dynamically learning the optimum energy consumption operating condition for a building and monitor/control energy consuming equipment to keep the peak demand interval at a minimum. The dynamic demand limiting algorithm utilized employs two separate control schemes, one for HVAC loads and one for non-HVAC loads. Separate operating parameters can be applied to the two types of loads and multiple non-HVAC (control zones) loads can be configured. The algorithm uses historical peak demand measurements in its real-time limiting strategy. The algorithm continuously attempts to reduce peak demand within the user configured parameters. When a new peak is inevitable, the algorithm strategically removes and/or introduces loads in a fashion that limits the new peak magnitude and places the operating conditions within the user configured parameters. In an embodiment, the algorithm that examines the previous seven days of metering information to identify a peak demand interval.

Abstract: The invention provides a servomotor controller that makes it possible to reduce compensation delay even when a dead band is provided. The servomotor controller includes a motion acquiring unit that acquires a motion of the servomotor, an acceleration amount acquiring unit that acquires an acceleration amount of the servomotor, a compensating unit that compensates a motion of the servomotor, and a compensation start determining unit that determines a start of the compensation by the compensating unit responsive to the motion of the servomotor, wherein the compensation start determining unit has a dead band unit that sets a dead band range which is a range of a predetermined value relative to the motion of the servomotor, and the dead band unit changes the dead band range based on the acceleration amount acquired by the acceleration amount acquiring unit.

Abstract: A management device includes: a storage unit; a first receiving unit; a communication unit; and a management control unit configured to perform setting control for transmitting a control parameter and device identification information corresponding to the reservation number to each article processing device, which is identified based on the device identification information via the communication unit, when a reservation number is received by the first receiving unit, and to perform storage control for storing adjustment information of a changed control parameter in the storage unit in association with the device identification information and the reservation number when the control parameter transmitted to each of the article processing devices is changed in each of the article processing devices.

Abstract: A creation device for creating an instruction for controlling a second industrial machine with a first industrial machine to execute a predetermined operation includes processing circuitry that obtains templates corresponding to operations respectively, control display of a template corresponding to an operation selected from the operations in a creation screen, and create an instruction for the operation selected from the operations based on the operation with respect to the template displayed in the creation screen.

Abstract: An information collection system for industrial machines includes processing circuitry that communicates with one or more industrial machines that execute one or more predetermined processes with respect to an object, identify, based on predetermined information received from the one or more industrial machines, the one or more predetermined processes executed with respect to the object, and assigns process identification information related to the one or more predetermined processes to collected information related to the object collected from the one or more industrial machines.

Abstract: To provide a control device for a machine tool capable of performing thread cutting while reducing the load on the machine tool from the oscillating operation, without extending the cycle time, and capable of reliably shredding chips in a case of performing the non-oscillating operation in the present pass after the oscillating operation in the previous pass. A control device for a machine tool includes: an oscillating operation execution determination unit that determines whether to execute an oscillating operation that causes the cutting tool to oscillate in the radial direction of the workpiece; an oscillation command generation unit that generates an oscillation command of the oscillating operation based on a determination result; a control unit that superimposes the oscillation command on a position command of the feed axis to generate a drive command.