Systems and methods for welding asset tracking are disclosed. In some examples, a welding asset tracking system may comprise an asset tracking network of tags, hubs, and/or gateways retained by welding assets within a welding area. The asset tracking network may obtain and/or communicate to an asset tracking server welding data related to one or more of the welding assets, as well as position data obtained via an internal and/or external positioning system. In this way, the welding asset tracking server may continually receive updated information regarding each welding assets identity, location, and/or use. The asset tracking server may additionally send a command to a selected welding asset that causes an interface of the selected welding asset to emit an output that enables an operator to physically identify the welding asset.

Automated systems and methods of using a smart end-effector tool (20) including an applicator (30) to apply a coating onto an object surface (2) (e.g., a wind blade) are provided. The smart tool (20) can process on-board sensor signals and update its working state with a remote robot controller (28) in real time and send instructions to the robot controller (28) to adjust the tool's travelling around the object surface (2) and optimize the applicator's (30) operation.

Systems and methods for welding asset tracking are disclosed. In some examples, a welding asset tracking system may comprise an asset tracking network of tags, hubs, and/or gateways retained by welding assets within a welding area. The asset tracking network may obtain and/or communicate to an asset tracking server welding data related to one or more of the welding assets, as well as position data obtained via an internal and/or external positioning system. In this way, the welding asset tracking server may continually receive updated information regarding each welding assets identity, location, and/or use. The asset tracking server may additionally send a command to a selected welding asset that causes an interface of the selected welding asset to emit an output that enables an operator to physically identify the welding asset.

A quick dispatching rule screening method and apparatus are provided. The quick dispatching rule screening method includes following steps. A scheduling result and a corresponding scenario are obtained. A dispatching rule mining table is established according to the scheduling result, where the dispatching rule mining table includes a dispatching rule and an operation. A participation rate of each dispatching rule in the dispatching rule mining table is calculated. A contribution rate is calculated according to the participation rate to obtain a filter value. A selected dispatching rule is decided according to the filter value.

Apparatus, systems, and/or methods are disclosed relating to welding systems that monitor welds performed by an operator. In some examples, the welding system monitors one or more welds performed using a welding tool, evaluates characteristics of the one or more welds in comparison to certain predetermined criteria, and determines a performance score for the operator based on the evaluation. In some examples, the characteristics of the one or more welds include the location of each of the one or more welds and/or the order in which the one or more welds are executed. In such an example, the predetermined criteria may include target locations for each of the one or more welds and/or a target order of execution. In some examples, the welding system may respond to deviations from the target locations and/or target order, such as by reducing a performance score, disabling weld operations, providing guidance to the operator.

Methods and systems for detecting and correcting substrate process drift using machine learning are provided. Data associated with processing each of a first set of substrates at a manufacturing system according to a process recipe is provided as input to a trained machine learning model. One or more outputs are obtained from the trained machine learning model. An amount of drift of a first set of metrology measurement values for the first set of substrates from a target metrology measurement value is determined from the one or more outputs. Process recipe modification identifying one or more modifications to the process recipe is also determined. For each modification, an indication of a level of confidence that a respective modification to the process recipe satisfies a drift criterion for a second set of substrates is determined. In response to an identification of the respective modification with a level of confidence that satisfies a level of confidence criterion, the process recipe is updated based on the respective modification.

A method of controlling at least one lubrication apparatus involves: determining whether vibration associated with the at least one lubrication apparatus satisfies one of a plurality of different criteria; and controlling the at least one lubrication apparatus according to whether the vibration associated with the at least one lubrication apparatus satisfies the one of the plurality of different criteria.

An automated breadboard wiring assembly includes a breadboard with holes therein defining at least two nodes and at least a primary wiring board. The primary wiring board has a wiring matrix composed of a plurality of interconnected wiring segments, each wiring segment having a switch therealong. A plurality of contacts are interconnected with the wiring matrix with a switch positioned between each contact and the wiring matrix. Each contact is configured to engage a respective one of the breadboard nodes. An input device is configured to indicate desired wires between nodes and the locations of the desired wires define wiring information. A microprocessor configured to receive wiring information from the input device and open selective ones of the switches such that an electrical path along selective ones of the contacts and the wire segments is defined to correspond to each desired wire set forth in the wiring information.

A quick dispatching rule screening method and apparatus are provided. The quick dispatching rule screening method includes following steps. A scheduling result and a corresponding scenario are obtained. A dispatching rule mining table is established according to the scheduling result, where the dispatching rule mining table includes a dispatching rule and an operation. A participation rate of each dispatching rule in the dispatching rule mining table is calculated. A contribution rate is calculated according to the participation rate to obtain a filter value. A selected dispatching rule is decided according to the filter value.

An automated breadboard wiring assembly includes a breadboard with holes therein defining at least two nodes and at least a primary wiring board. The primary wiring board has a wiring matrix composed of a plurality of interconnected wiring segments, each wiring segment having a switch therealong. A plurality of contacts are interconnected with the wiring matrix with a switch positioned between each contact and the wiring matrix. Each contact is configured to engage a respective one of the breadboard nodes. An input device is configured to indicate desired wires between nodes and the locations of the desired wires define wiring information. A microprocessor configured to receive wiring information from the input device and open selective ones of the switches such that an electrical path along selective ones of the contacts and the wire segments is defined to correspond to each desired wire set forth in the wiring information.