The process control system converts, into images, time-varying waveforms of inspection data of an assembled product, parts, and sub-assembling processes that constitute the assembling process, performs matching between an inspection waveform image (IWI) of the assembled product and a predetermined deterioration pattern image (DPI), determines whether IWI of the assembled product is similar to DPI, performs, when IWI is similar to DPI, a first determination for performing matching between an IWI of each of sub-assembling processes and DPI and determining whether there is a sub-assembling process similar to DPI, performs, when there is a sub-assembling process similar to DPI in the first determination, a second determination for performing matching between IWI of each of parts assembled in the sub-assembling process similar to DPI and DPI and determining whether there is a part similar to DPI, and specifies a deterioration factor based on results of the first and second determinations.

A production management system includes a storage unit and a controller. The storage unit is configured to store a holding position at which a first work is held among holding positions of the holding unit including first and second cases respectively capable of holding a plurality of works and a work ID identifying the first work in such a manner that the holding position and the work ID of the first work are associated each other. The controller configured to change information of the holding position associated with the work ID of the first work in the storage unit from a first position to a second position if, within the first case, the first work held at the first position is held anew in the second position different from the first position.

The present invention relates to a system for wireless monitoring of operating and production parameters of a machine for food production, particularly a clipping machine, having a sealed housing protected at least against moisture. The system comprises at least one measuring and control device for controlling the production process executed by the machine and measuring the operating and/or production parameters of the machine, the at least one measuring and control device being arranged inside the sealed housing, operating parameter determining means for determining operating parameters of the machine, wherein the operating parameter determining means are arranged in the machine and are connected to the at least one measuring and control device, production parameter determining means for determining production parameters of the machine, wherein the production parameter determining means are arranged in the machine and are connected to the at least one measuring and control device, at least one wireless communication device which is arranged inside the sealed housing and is connected with the at least one measuring and control device, a user interface and display device which is provided outside the sealed housing, the user interface and display device being connected to the at least one measuring and control device, and at least one smart device having at least an optical reading unit, wherein the at least one wireless communication device is configured to generate login details for wireless communication and encrypt the login details into a binary code which can be read by the optical reading unit of the smart device via the user interface and display device.

According to the present disclosure, a sensor controller configured to collect a variety of machine related operations data may receive operation data from at least one measurement sensor connected to a machine and configured to detect the operation data of the machine and transfer the operation data to a communication module to be transmitted to and collected by a server. Even if a different measurement sensor is connected to a sensor controller, the operation data of the connected measurement sensor can be still recognized.

An automatic screw tightening module includes a plate assembly, an input module, a screwdriver module, a transmission module, a movable module, an elastic element and a position sensor. The screwdriver module includes a screwdriver and a screwdriver sleeve. The transmission module is connected with an input terminal of the input module and the screwdriver sleeve for allowing the input terminal, the transmission module and the screwdriver sleeve to be rotated synchronously. The movable module is movably disposed on a base plate of the plate assembly. The movable module includes a bearing, and portion of the screwdriver sleeve is accommodated in the bearing, so that the screwdriver module and the movable module are moved relative to the base plate. The elastic element is disposed on the base plate and connected with the movable module. The position sensor is disposed on the base plate for sensing a displacement of the movable module.

Machine learning-based methods and systems for automated object defect classification and adaptive, real-time control of manufacturing processes are described.

A production management system includes a storage unit and a controller. The storage unit is configured to store a holding position at which a first work is held among holding positions of the holding unit including first and second cases respectively capable of holding a plurality of works and a work ID identifying the first work in such a manner that the holding position and the work ID of the first work are associated each other. The controller configured to change information of the holding position associated with the work ID of the first work in the storage unit from a first position to a second position if, within the first case, the first work held at the first position is held anew in the second position different from the first position.

A production line monitoring apparatus is an apparatus for monitoring a process in a factory production line. The production line monitoring apparatus includes an anomaly detection processing unit that detects an anomalous condition in the production line, based on videos acquired by a plurality of image-capturing units disposed in different positions outside the production line monitoring apparatus to capture images of the state of the production line, an anomaly tracking processing unit that, when an anomalous condition has been detected by the anomaly detection processing unit, creates a recorded video in which, of the videos captured by the plurality of image-capturing units, videos in which an anomalous condition identical to the detected anomalous condition is captured are connected in a time series manner, and a storage unit that stores the recorded video and accompanying information which accompanies the detected anomalous condition in association with each other.

An inspection management system manages, in a production line for a product including a plurality of processes, a final inspection for a product finished through the plurality of processes and a plurality of intermediate inspections before the final inspection. The production line includes a plurality of manufacturing apparatuses and a plurality of inspection apparatuses corresponding to the plurality of processes. The inspection management system includes an inspection data obtainer, an inspection result obtainer, and an inspection setting supporter that generates an inspection record diagram showing, as information about an inspection item in one of the plurality of intermediate inspections, a presence or an absence of a product determined defective in the final inspection and information identifying whether the product determined defective in the final inspection is determined defective under an inspection item in another of the plurality of intermediate inspections, and displays the inspection record diagram.

Systems, methods, and software are disclosed herein for generating one or more machine dashboards. In an implementation, a computing system is directed to receive a set of machine data from a gateway device, the machine data comprising operation data of an industrial automation machine controlled by a controller of an industrial automation environment. The set of machine data conforms to a predefined data format and comprises machine state information and ideal production information. The program instructions also direct the computing system to generate metrics data based on the machine data, store the metrics data in a computer readable storage medium, generate a data dashboard based on the stored metrics data, and deliver the data dashboard to a display device of a device configured to communicate with the computing system.