The disclosure provides systems and methods of use in the analysis, collection, resource allocation, and tracking associated with the sale of commodities. Embodiments include a vibratory-and-optical analysis and collection system that may be incorporated into a collection and storage machine. The analysis and collection system and/or the collection and storage machine may be associated with a consumption-based resource-allocation system that determines a payment price for a batch of commodity sold and then digitally allocates all transaction resources to the relevant stakeholders to the commodity sales transaction occurring at the analysis and collection system and/or the collection and storage machine. A commodity-to-consumer tracking system may be provided to track the batch of commodity sold from the point of harvest and sale through to the end consumer. Other embodiments are disclosed.

To provide an abnormality detection system capable of reducing work load of an engineer. An algorithm storage unit stores therein a detection algorithm corresponding to identification information of a detection target. An abnormality detection unit detects an abnormality in a detection target signal obtained from a monitor signal of the detection target using a corresponding detection algorithm in the algorithm storage unit. A detection target identification unit determines whether the detection algorithm corresponding to the identification information of the detection target is stored in the algorithm storage unit, and issues a generation request when it is not stored therein. An algorithm generation unit generates the detection algorithm using a corresponding detection target signal according to the generation request.

To provide an abnormality detection system capable of reducing work load of an engineer. An algorithm storage unit stores therein a detection algorithm corresponding to identification information of a detection target. An abnormality detection unit detects an abnormality in a detection target signal obtained from a monitor signal of the detection target using a corresponding detection algorithm in the algorithm storage unit. A detection target identification unit determines whether the detection algorithm corresponding to the identification information of the detection target is stored in the algorithm storage unit, and issues a generation request when it is not stored therein. An algorithm generation unit generates the detection algorithm using a corresponding detection target signal according to the generation request.

In one embodiment, a manufacturing process is optimized by enabling a user to specify a product to be manufactured, enabling the user to specify a manufacturing system for manufacturing the product, enabling the user to select parameters for the product and the manufacturing system, and automatically calculating manufacturing metrics for the manufacturing process based upon the user-specified models and user selections.

The disclosure provides systems and methods of use in the analysis, collection, resource allocation, and tracking associated with the sale of commodities. Embodiments include a vibratory-and-optical analysis and collection system that may be incorporated into a collection and storage machine. The analysis and collection system and/or the collection and storage machine may be associated with a consumption-based resource-allocation system that determines a payment price for a batch of commodity sold and then digitally allocates all transaction resources to the relevant stakeholders to the commodity sales transaction occurring at the analysis and collection system and/or the collection and storage machine. A commodity-to-consumer tracking system may be provided to track the batch of commodity sold from the point of harvest and sale through to the end consumer. Other embodiments are disclosed.

A data processing method includes: obtaining a defect type of a sample set in response to a first input of a user on a first interface, the sample set including samples, each sample having a first parameter used to represent a defect degree of the sample with regard to the defect type and a second parameter used to represent device informations of sample production devices through which the sample passes; calculating yield purity indexes of sample production devices on the samples based on first parameters and second parameters of the samples, so as to obtain influencing parameters of the sample production devices, an influencing parameter of each sample production device being used to represent an influence degree to which the sample production device affects an occurrence of the defect type on the samples; and displaying the influencing parameters of the sample production devices on a second interface.

The invention relates to a monitoring method (100) for monitoring a winding process on a winding device (1), comprising: providing (104) a correlation of an irregularity (12) of a web material (11) to a running parameter (13) of the reel (10) for an unwinding process. The invention further relates to a control method (200) for performing an unwinding process on an unwinding device, comprising: obtaining (201) a correlation of an irregularity (12) of a web material (11) to at least one running parameter (13) of a reel (10) from a winding process. Furthermore, the invention relates to a processing method (300) for performing a process of processing a web material (11). Furthermore, the invention relates to a winding device (1) for performing a winding process of a web material (11) to a reel (10), an unwinding device (2) for performing an unwinding process of a web material (11) of a reel (10) and a processing system (3) for processing a web material (11).

To provide an abnormality detection system capable of reducing work load of an engineer. An algorithm storage unit stores therein a detection algorithm corresponding to identification information of a detection target. An abnormality detection unit detects an abnormality in a detection target signal obtained from a monitor signal of the detection target using a corresponding detection algorithm in the algorithm storage unit. A detection target identification unit determines whether the detection algorithm corresponding to the identification information of the detection target is stored in the algorithm storage unit, and issues a generation request when it is not stored therein. An algorithm generation unit generates the detection algorithm using a corresponding detection target signal according to the generation request.

Apparatus and methods for automatically testing mobile devices are disclosed according to various embodiments. In one example, a disclosed apparatus includes: a robot having a retention device into which the mobile device to be tested is positioned; a test computer having a processor and a non-transitory computer readable storage medium storing test software for testing the mobile device; and a user monitor electrically connected to the test computer and configured for providing a result of the testing of the mobile device. The mobile device is wirelessly connected to the test computer and has a test application installed thereon corresponding to the test software. The robot is configured for performing interaction and manipulation of the mobile device in cooperation with the test application and the test software during the testing.

Apparatus and methods for automatically testing mobile devices are disclosed according to various embodiments. In one example, a disclosed apparatus includes: a robot having a retention device into which the mobile device to be tested is positioned; a test computer having a processor and a non-transitory computer readable storage medium storing test software for testing the mobile device; and a user monitor electrically connected to the test computer and configured for providing a result of the testing of the mobile device. The mobile device is wirelessly connected to the test computer and has a test application installed thereon corresponding to the test software. The robot is configured for performing interaction and manipulation of the mobile device in cooperation with the test application and the test software during the testing.