The present disclosure provides an Industrial Internet of Things for implementing a production task plan, including at least one user platform, a service platform, a management platform, a sensor network platform, and one or more object platforms that are interacted sequentially from top to bottom; the service platform is arranged in an independent layout, the management platform is arranged in a front sub platform layout, and the sensor network platform is arranged in a rear sub platform layout; the one or more object platforms are configured as one or more intelligent manufacturing devices or one or more manufacturing management devices.

An Industrial Internet of Things system for managing a production task is provided. The system comprises a user platform, a service platform, a management platform, a sensor network platform interacted sequentially. The service platform is configured to receive a modification instruction of a user. The management platform is configured to obtain raw material data and reference material data; determine target reference material data whose matching relationship satisfies a preset condition, and take reference process parameters corresponding to the target reference material data as first candidate process parameters; determining second candidate process parameters through processing the first candidate process parameters; and determine target process parameters based on cost values corresponding to the second candidate process parameters; and determine a modification plan. The sensor network platform is configured to determine an execution instruction based on the modification plan and control the process equipment to produce according to the target process parameters.

A method includes obtaining information identifying transactions from multiple sources, the transactions related to multiple functional domains of a supply chain associated with at least one industrial process. The method also includes storing the information in a data store according to a unified model, the unified model representing all of the multiple sources. The method further includes generating one or more user-defined metrics and one or more user-defined analytics using the information. In addition, the method includes storing the metrics and the analytics in the data store.

A method includes obtaining information identifying transactions from multiple sources. The transactions relate to multiple functional domains of a supply chain associated with an industrial process. The method also includes storing the information in a data store according to a unified model. The method further includes providing a common user interface for different functional users. The common user interface is configured to display multiple visualizations and reports associated with the transactions. The method also includes obtaining, according to a user input at the common user interface, one or more metrics and one or more analytics from the data store. The one or more metrics and the one or more analytics are associated with the obtained information. The method also includes configuring the common user interface to display, according to the user input, at least one visualization or report involving the one or more metrics and the one or more analytics.

A method for manufacturing a product according to a production plan includes a plurality of production steps. The method includes providing a plurality of production modules, for each production step of the plurality of production steps, independently executing a negotiation process for selecting a production module, and disposing the selected production modules, each selected for performing one of the production steps, for performing the plurality of production steps. The negotiation process includes designating production modules that are capable of performing the production step, assigning module parameters to the designated production modules, calculating a cost for each of the designated production modules based on the module parameters of the respective production module, and selecting one of the designated production modules as a function of the calculated cost.

A method for planning production in a production plant having a plurality of separate, successive plant parts is disclosed. The products to be manufactured in the production plant are available in a production list and/or production sub-lists are available for the separate, successive plant parts or are established from the production list. The method includes analyzing the production sub-lists and determining production sequences for the relevant plant parts. Those products that can be manufactured in the relevant plant part and can be manufactured without restricting or interrupting production in the plant part are combined in each production sequence. The method further includes analyzing the production sequences of the plant parts and determining at least one overall production sequence for the production plant. Products that are included for all the plant parts in a joint production sequence are included in an overall production sequence.

The invention refers to a method 200 for planning of a production process of a product. Product planning data is provided 211 with respect to a production entity producing the product. The product planning data is indicative of a production plan that should be fulfilled. Pre-product planning data is provided 210 with respect to a production entity producing the pre-product. The pre-product planning data is indicative of a production plan that should be fulfilled. The product and pre-product planning data are stored 220 on a sequential distributed database. A product status of the production process of the product is determined 230 by comparing the stored product planning data with blockchain oracle data. A pre-product status of the production process of the pre-product is determined 231 by comparing the stored pre-product planning data with blockchain oracle data. The product status is validated 240 with respect to the pre-product status.