The embodiment of the present disclosure provides a method for quickly optimizing geometric error compensation data of a translational axis of a five-axis numerically controlled machine tool. The method includes: 1) establishing a volumetric positioning error model; 2) establishing an error database; 3) constructing a volumetric error compensation table; 4) establishing a compensation data optimization model to form an optimization model of three face diagonals and one body diagonal in a translational axis linkage mode; 5) completing iterative optimization and selection of the correction coefficients; 6) completing compensation of the geometric errors of the five-axis numerically controlled machine tool; and 7) iterating error correction data to the error database, performing linkage trajectory detection, presetting a positioning error threshold, and cycling the operations 2) to 6) to realize a machine tool precision guarantee system for periodic detection, optimization, and compensation.

Systems and related approaches for monitoring the notification rate of live alarms being presented to an operator in the presentation tool. The number of notifications being received is counted and managed as a rate due to the update frequency of the tool. In some embodiments, when the number of notifications received exceeds a threshold, an indicator is presented to the operator alerting them to the abnormality. The operator may then examine the system as necessary to locate the source of the abnormality.

A data collection system including a device having a communication function and a data collection apparatus configured to collect data transmitted from the device. The data collection apparatus includes a receiver configured to receive data transmitted from the device, a data analyzer configured to acquire analyzed data by analyzing the received data according to analysis data format different for each device, a first data storage which is a non-rewritable storage, a second data storage which is storage that can be accessed faster than the first data storage and that stores a smaller amount of data than the first data storage, a data writer configured to writes and stores the data received by the receiver to the first data storage, and writes and stores the analyzed data acquired by the data analyzer to the second data storage.

A work management device manages a board work line having multiple board work machines for performing work on a board. The work management device includes a problem detection section configured to detect that a problem has occurred in any of the multiple board work machines; a handling method database configured to accumulate handling methods for problems; an updating section configured to update handling methods for problems at any time; and a work instruction section configured to extract and indicate to an operator a handling method for a problem from the handling method database when the problem detection section detects that the problem has occurred.

The present disclosure provides an Industrial Internet of Things system for intelligent repair of manufacturing equipment and a control method. The Industrial Internet of Things system includes a management platform, a sensor network platform, and an object platform interacting in sequence. The object platform is configured as a plurality of manufacturing equipment arranged in sequence according to a process sequence on the assembly line. The management platform is configured to issue self-repair instructions and failure handling instructions corresponding to the intelligent repair method to the corresponding manufacturing equipment through the sensor network platform, so as to realize the automatic repair of manufacturing equipment, reduce the cost of manual troubleshooting, and ensure the normal production and manufacturing of the assembly line.

Provided is a device management system to suppress decreases in producibility. A device management system manages a plurality of production-line-configuring devices configuring a production line to produce products, and has a device state data storage part, an analysis part, and a server output part. The production-line-configuring devices include a combination weighing machine to weigh the products, a bag-making and packaging machine to package the products, and a boxing device to box the packaged products into boxes. The device state data storage part accumulates device state data, which is information pertaining to the components included in the production-line-configuring devices. The analysis part performs an analysis process to analyze the device state data accumulated in the device state data storage part. The server output part outputs maintenance information, which pertains to maintenance of the components, on the basis of the results of the analysis process.

The invention describes a method and a system for maintenance of at least one of a plurality of field devices in a plant of automation technology, comprising a plurality of field devices; a database for storing particular device types of the plurality of field devices, diagnostic reports of the plurality of field devices, failure pictures, measures applied in the past for removing a failure, which has occurred, and success evaluations for the particular, stored measures; and a computing unit, which accesses the database and can read out, store and/or associate data there, as well as creates success evaluations and compares new diagnostic reports with the failure pictures stored in the database and displays a proposal of a measure appropriate therefor and its success evaluation.

Systems and related approaches for monitoring the notification rate of live alarms being presented to an operator in the presentation tool. The number of notifications being received is counted and managed as a rate due to the update frequency of the tool. In some embodiments, when the number of notifications received exceeds a threshold, an indicator is presented to the operator alerting them to the abnormality. The operator may then examine the system as necessary to locate the source of the abnormality.

The embodiment of the present disclosure provides a method for quickly optimizing geometric error compensation data of a translational axis of a five-axis numerically controlled machine tool. The method includes: 1) establishing a volumetric positioning error model; 2) establishing an error database; 3) constructing a volumetric error compensation table; 4) establishing a compensation data optimization model to form an optimization model of three face diagonals and one body diagonal in a translational axis linkage mode; 5) completing iterative optimization and selection of the correction coefficients; 6) completing compensation of the geometric errors of the five-axis numerically controlled machine tool; and 7) iterating error correction data to the error database, performing linkage trajectory detection, presetting a positioning error threshold, and cycling the operations 2) to 6) to realize a machine tool precision guarantee system for periodic detection, optimization, and compensation.

The invention provides an implementing method of cloud numerical control system. The method implements a numerical control system with functions of online error compensation, CAD/CAPP/CAM/CNC integrating and interactively cooperative assembling machining control. The cloud numerical control system includes a small cloud numerical control system a large cloud numerical control system. The small cloud numerical control system focuses on inside control of a single numerical control machining device and includes a cloud control core node, cloud measure and control subnodes and fine-tuning driving units. The large cloud numerical control system is based on the small cloud numerical control system and performs interactively cooperative machining between multiple numerical control machining devices for different workpieces to be assembled.