Systems, methods, apparatus, and articles of manufacture for automated composite layup quality assurance.

The invention relates to a method for controlling a surface (1) of interest of a part (2) by means of a camera (3) intended to be mounted on a robot (4), the camera (3) comprising a sensor and optics associated with an optical centre C, an angular aperture alpha and a depth of field PC and defining a sharpness volume (6), this method comprising the following operations: loading a three-dimensional virtual model of the surface (1); generating a three-dimensional virtual model of the volume of sharpness (6); paving the model of the surface (1) by means of a plurality of unit models of said three-dimensional virtual model of the volume of sharpness (6); for each position of said unit models (6), calculating the corresponding position, called the acquisition position, of the camera (3).

A control system of a machine tool includes an analysis device, the analysis device includes acquisition portions which acquire chronological speed control data when a work is machined and which acquire spatial machined surface measurement data after the machining of the work, a data-associating processing portion which associates the speed control data and the machined surface measurement data with each other, a machined surface failure detection portion which detects a failure depth of a failure location on the machined surface of the work and an identification portion which identifies the control data of the failure location corresponding to the machined surface measurement data of the failure location so as to identify a failure depth corresponding to the control data of the failure location and the numerical control device corrects the control data based on the control data of the failure location and the corresponding failure depth.

In order to provide a checking facility for checking workpieces and also a treatment facility for treating workpieces, which enable efficient and reliable quality optimisation, it is proposed that workpiece parameters are detected, for example by means of an automatic checking station, and a workpiece-specific data set is created on this basis and/or from facility parameters.

A numerical control system of a machine tool includes an analysis device. The analysis device includes acquisition portions which acquire chronological speed control data when the work is machined and which acquire spatial machined surface measurement data after the machining of the work, a data-associating processing portion which associates the speed control data and the machined surface measurement data with each other, a machined surface failure detection portion which detects failures on the machined surface of the work, an identification portion which identifies the speed control data of failure locations corresponding to the machined surface measurement data of the failure locations, a failure interval detection portion which detects the interval of the failures and a calculation portion which calculates the frequency of vibrations based on a machining speed based on the speed control data of the failure locations and the interval of the failures.

In order to provide a checking facility for checking workpieces and also a treatment facility for treating workpieces, which enable efficient and reliable quality optimisation, it is proposed that workpiece parameters are detected, for example by means of an automatic checking station, and a workpiece-specific data set is created on this basis and/or from facility parameters.

An appearance inspection system enabling a route to be easily set when a target is imaged while causing a relative position of an imaging device with respect to the target to be different is provided. A decision part decides a plurality of relative position candidates of the imaging device with respect to the target at which focus of a lens module is possible on the inspection target position with regard to each of a plurality of the inspection target positions on the target. A selection part selects relative positions one by one from corresponding plurality of relative position candidates for each of the plurality of inspection target positions and selects a route candidate satisfying a preset requirement from a plurality of route candidates generated by sequentially connecting the plurality of selected relative positions as a designation route.

An appearance inspection system includes a setting part, a movement mechanism, and a control part. The setting part sets a route passing through a plurality of imaging positions in order. The setting part sets the route so that a first time necessary for the movement mechanism to move an imaging device from a first imaging position to a second imaging position among the plurality of imaging positions is longer than a second time necessary for a process of changing a first imaging condition corresponding to the first imaging position to a second imaging condition corresponding to the second imaging position by the control part. The control part starts the process of changing the first imaging condition to the second imaging condition earlier by the second time or more than a scheduled time at which the imaging device arrives at the second imaging position.

To provide an appearance inspection system capable of reduce labor for setting an imaging condition by a designer when a plurality of inspection target positions on a target is sequentially imaged. An appearance inspection system includes an imaging condition decision part and a route decision part. The imaging condition decision part decides a plurality of imaging condition candidates including a relative position between a workpiece and an imaging device for at least one inspection target position among a plurality of inspection target positions. The route decision part decides a change route of an imaging condition for sequentially imaging the plurality of inspection target positions by selecting one imaging condition among the plurality of imaging condition candidates so that a pre-decided requirement is satisfied.

A multi-scale inspection and intelligent diagnosis system and method for tunnel structural defects includes: a traveling section; a supporting section, disposed on the traveling section, and including a rotatable telescopic platform, where two mechanical arms working in parallel are disposed on the rotatable telescopic platform; an inspection section, mounted on the supporting section, and configured to perform multi-scale inspection on surface defects and internal defects in different depth ranges of a same position of a tunnel structure, and transmit inspected defect information to a control section; and the control section, configured to: construct a deep neural network-based defect diagnosis model; construct a data set by using historical surface defect and internal defect information, and train the deep neural network-based defect diagnosis model; and receive multi-scale inspection information in real time, and automatically recognize types, positions, contours, and dielectric attributes of the internal and surface defects.