Provided is an injection molding system that uses an identification code, collectively manages the specifications and combinations of an injection molding machine and peripheral devices, and secures a suitable production state for a combination of a wide variety of specifications. An injection molding system include: an injection molding machine; a plurality of peripheral devices; an identification code attached to the injection molding machine and each of the plurality of peripheral devices, and having identification information of the injection molding machine and each of the plurality of peripheral devices; a code reader that reads the identification code; and a management unit including a storage unit that stores a correct combination of the identification code of the injection molding machine and the plurality of peripheral devices, and a confirmation determination unit for confirming whether the correct combination stored in the storage unit matches the identification code read by the code reader.

An injection molding machine according to the present invention is a machine tool that includes a measurement unit that measures a predetermined measured value; a calculation unit that calculates attitude accuracy information about the injection molding machine based on the measured value measured by the measurement unit; and a display that displays the attitude accuracy information calculated by the calculation unit together with an overhead view of the injection molding machine.

Disclosed herein, amongst other things, is a molding system (100) comprising control structure that includes a mold (120) that is configured to mold a molded article (180), a controller (170) with which to control the operation of the molding structure, and a vision system (174) with which to appreciate a parameter of the molded article (180) for control of molding system (100).

In order to calculate a ball screw abrasion amount of an injection-axis ball screw or a mold-clamping-axis ball screw, a position of a ball nut fitted to the ball screw is photographed by a camera installed in an injection molding machine. Then, if the photographed position of the ball nut is found, as a result of analysis of an image captured by the camera, to be deviated from the position of the ball nut when a ball screw has no abrasion, it is determined that the ball screw is abraded.

A state determination device acquires data on an injection molding machine and stores conditions for classifying the acquired data on the injection molding machine and a plurality of learning models. The state determination device further classifies the acquired data based on the stored classification conditions and settles a learning model to which the classified data are applied, among the plurality of stored learning models. Subsequently, the state determination device performs machine learning for the learning model settled as an application destination, based on the classified data.

An abnormality detection device for detecting an abnormality of a movable part provided in an injection molding machine includes: a through hole formed in the movable part or in an adjacent member arranged adjacent to the movable part; and a microphone installed inside the through hole to collect sound generated by the movement of the movable part.

A state determination device is capable of assisting maintenance for various injection molding machines. The state determination device acquires data related to an injection molding machine, performs numeric conversion for extracting a feature in a temporal direction or an amplitude direction, with respect to time-series data of physical quantity in the acquired data, and performs machine learning using the data obtained through numeric conversion so as to generate a learning model.

A state determination device that determines an operation state of an injection molding machine stores respective specification data of a reference injection molding machine and an injection molding machine that is different from the reference injection molding machine, and acquires data related to the injection molding machine. Then, the state determination device converts the acquired data into yardstick data by a conversion formula set for every type of data, by using the stored specification data of the reference injection molding machine and the stored specification data of the injection molding machine and performs machine learning using the yardstick data obtained through the conversion so as to generate a learning model.

A state determination device acquires data related to an injection molding machine, stores a learning model obtained by learning an operation state of the injection molding machine with respect to the data, and performs estimation using the learning model based on the data. Further, the state determination device acquires a correction coefficient, which is associated with a type of the injection molding machine and equipment attached to the injection molding machine and numerically converts and corrects the estimation result with a predetermined correction function to which the acquired correction coefficient is applied.

The invention concerns an injection overmoulding device comprising at least one indexed rotary turret on which cooled moulds are installed, each mould comprising a plurality of cavities, and at least five stationary stations arranged around said turret, including at least a first station, a second station and a third station that are used, respectively, for carrying out the operations of positioning the inserts in the cavities of the mould, injecting plastic material into the cavities of the mould, and demoulding the at least partially cooled objects. The device comprises, for each mould, at least separate injection means. The invention also concerns a method implemented by the device.