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.

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.

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.

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.

Systems and methods are disclosed relating to user interface generation using machine learning models. A system can include one or more processors configured to receive, from a device associated with a user identifier, a prompt for generating data regarding a building management system. The one or more processors can generate, using at least one machine learning model, a completion to the prompt based at least on the prompt and the user identifier, the completion indicating one or more actions corresponding to a performance target for the building management system. The one or more processors can present the completion using at least one of a display device or an audio output device.

Examples techniques to manage performance of assets installed in an industrial facility are described. Operating parameters of a component from amongst one or more components of an asset are monitored. A range of values indicative of normal operational behavior of the asset is predefined for each operating parameter of the component. One or more operating parameters of the component are identified to deviate from corresponding predefined range of values. Deviation in an operating parameter is a symptom of a fault. A severity index is assigned to each symptom of a fault based on an amount of the deviation in the respective operating parameter from corresponding predefined range of values. Further, a fault severity indicator is assigned for the fault associated with the component based on severity indexes of each symptom of the fault. A corrective action is caused when the fault severity indicator is above a predetermined threshold.

The present disclosure discloses an industrial Internet of Things for intelligent control of filling production, including a user platform, a service platform, a management platform, a sensor network platform, and an object platform interacting in sequence, wherein the service platform is provided with a plurality of independent service sub-platforms; the management platform is provided with a general management platform and a plurality of independent management sub-platforms, the management sub-platforms interacting with the general management platform, and the management sub-platforms interacting with the corresponding service sub-platforms; and the sensor network platform is provided with a general sensor network platform and a plurality of independent sensor network sub-platforms, the sensor network sub-platforms interacting with the general sensor network platform, and the general sensor network platform interacting with the general management platform. The present disclosure determines the target production device through processing a relationship diagram using a fault prediction model, the relationship diagram indicating a relationship between the devices corresponding to the production processes of the mixed filling production line, which can effectively reduce the complexity of the detection device, reduce defect detection costs, and improve the yield rate.

A health status and monitoring system may receive status information for a plurality of subsystems of the fluid processing facility, the status information including at least one of time-series data, daily reports, maintenance records, inspection records, equipment runtime, equipment uptime, control room reports, shift reports, or laboratory samples. A health status and monitoring system may apply a current status model to the status information, the current status model generating a health status for the fluid processing facility, the health status incorporating a subsystem status of the plurality of subsystems.