A method, system and computer program product for a heuristic determination of in-process damage class control to manage expected output product category. The heuristic technique determines the predicted damages and their ranges while keeping the initial expected defects, the respective classes and range of defect and mitigation. The method dynamically computes a damage mitigation range of operation while being within the overall constraints and completes the computation in smaller number of loops being run at the edge computers so that the manufacturing equipment can operate at a higher velocity for higher quality of the output. The method includes a step of reducing error of the co-efficient and damage counts. An Internet of Things (IoT) based robot is used to mitigate the damages in the manufacturing steps to ensure that the output class of the product remains what was expected at the start despite damages and mitigation measures.

The setting of textile machinery parameters is an important aspect that combines implicit knowledge of workers and engineers with explicit knowledge. As yarn and fabrics involved in a textile process are multicomponent artefacts, in order to automatize this process of machine configuration, a method for dissimilarity computation between two yarns is proposed including one or a combination of four algorithms to evaluate the similarity between two yarns, each composed by a list of materials. The method has proved to be successful for spinning setting and it can be applied in other steps of a textile process like weaving.

An intelligent yarn loading system and a control method are provided. The intelligent yarn loading system comprises a twisting machine, a self-walking trolley and a dispatching control system; the twisting machine is provided with a twisting machine wireless communication module for sending a working state of the twisting machine to the dispatching control system; the self-walking trolley is provided with a trolley wireless controller and a self-walking device for receiving an instruction of the dispatching control system and walking to a station of the twisting machine to take off an empty bobbin, and put a basic yarn on a creel of the twisting machine or take off a finished product package for stacking.

A textile machine management system and associated method for textile machines include automated guided transportation vehicles that transport material carriers between the textile machines. A logistic control system controls movement of the transportation vehicles. A material management apparatus manages the material flow between the textile machines and includes: a material flow database; a prediction module; and a disposition module.

A yarn monitoring system for textile machines uses sensors to indicate yarn over-tensioning and breakage. The sensors within eyelets monitor the passage of the yarn and send raw signals to the controller. The eyelets, each with a sensor, are within a body containing a circuit board which is in constant communication with the sensors and software contained within a controller. The controller is in constant communication with the textile machine. The software contains an acceptable operational zone for raw signal data and control limits establishing the lowest raw signal data reading permitted for the yarn. The user establishes set points for the control limits, and reaching these set points is an indication over-tension or yarn breakage. To prevent unnecessary shut down of the machine, the software averages the raw signal data and, when the raw signal average remains out of the established set points, initiates communication to the textile machine.

A method and system detect and remotely manage sensors and/or devices for feeding textile and/or metallic yarns on textile machines. Each textile machine includes an electronic control unit electrically connected to the sensors and/or feeding devices for receiving identifiers associated with a sensor and/or feeding device, and data and operating parameters representing a sensor and/or feeding device operating state. A first communication system is associated with the electronic control unit. Wireless communication between the electronic control unit and a portable electronic device is by a second wireless communication system with a display interface. The electronic control unit transmits the identifiers to the portable electronic device. The portable electronic device processes the identifiers to generate menus with selectable entries associated with the textile machines. Each menu represents the number/type of sensors and/or feeding devices installed. The main menu is displayed with selectable entries on the portable electronic device display interface.

A yarn crafting system coupled to a foot pedal control device for tracking a series of stitching steps, representing a resulting pattern, and producing a list of materials associated with navigating through the resulting pattern is provided. The foot pedal device enables a user to retrievably store associated stitch dataseries and sequence of stitch locations and associated stitch rounds and rows incorporated in a simultaneously created or improvised yarn craft pattern during the crafting process. Each material from the resulting list of material may be associated with an accompanying round/row/stitch location and/or stich step employed in the resulting improvised pattern, enabling others to download improvised patterns and associated lists of materials for their subsequent use.

A textile machine management system and associated method for textile machines include automated guided transportation vehicles that transport material carriers between the textile machines. A logistic control system controls movement of the transportation vehicles. A material management apparatus manages the material flow between the textile machines and includes: a material flow database; a prediction module; and a disposition module.

An intelligent yarn loading system and a control method are provided. The intelligent yarn loading system comprises a twisting machine, a self-walking trolley and a dispatching control system; the twisting machine is provided with a twisting machine wireless communication module for sending a working state of the twisting machine to the dispatching control system; the self-walking trolley is provided with a trolley wireless controller and a self-walking device for receiving an instruction of the dispatching control system and walking to a station of the twisting machine to take off an empty bobbin, and put a basic yarn on a creel of the twisting machine or take off a finished product package for stacking.

A method and system detect and remotely manage sensors and/or devices for feeding textile and/or metallic yarns on textile machines. Each textile machine includes an electronic control unit electrically connected to the sensors and/or feeding devices for receiving identifiers associated with a sensor and/or feeding device, and data and operating parameters representing a sensor and/or feeding device operating state. A first communication system is associated with the electronic control unit. Wireless communication between the electronic control unit and a portable electronic device is by a second wireless communication system with a display interface. The electronic control unit transmits the identifiers to the portable electronic device. The portable electronic device processes the identifiers to generate menus with selectable entries associated with the textile machines. Each menu represents the number/type of sensors and/or feeding devices installed. The main menu is displayed with selectable entries on the portable electronic device display interface.