US 12,332,637 B2
Industrial internet of things, control methods, and storage mediums for automatic executing product manufacturing based on tasks
Zehua Shao, Chengdu (CN); Yaqiang Quan, Chengdu (CN); Junyan Zhou, Chengdu (CN); Xiaojun Wei, Chengdu (CN); and Yongzeng Liang, Chengdu (CN)
Assigned to CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD., Chengdu (CN)
Filed by CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD., Sichuan (CN)
Filed on Oct. 9, 2022, as Appl. No. 18/045,172.
Prior Publication US 2023/0054470 A1, Feb. 23, 2023
Int. Cl. G05B 19/418 (2006.01)
CPC G05B 19/41865 (2013.01) [G05B 2219/34418 (2013.01)] 18 Claims
OG exemplary drawing
 
1. An Industrial Internet of Things for automatic executing product manufacturing based on a task, comprising a task module, a process processing module, and an analysis module; and the Industrial Internet of Things including a user platform, a service platform, a management platform, a sensor network platform, and at least one object platform interacting sequentially from top to bottom; wherein the user platform is used as an executor of the task module, the service platform is used as an executor of the process processing module, and the management platform, the sensor network platform, and the at least one object platform are used as executors of the analysis module; wherein
the task module is executed by a server and configured to generate a product manufacturing task and a first instruction corresponding to the product manufacturing task;
the process processing module is executed by the server and configured to
determine manufacturing process information based on the first instruction, wherein the manufacturing process information includes sub-process information sorted by a sequence of process execution time;
decompose the manufacturing process information and generate sub-process manufacturing data; and
the analysis module is executed by the server and configured to
compose a set of manufacturing data based on the sub-process manufacturing data and the process execution time;
perform a manufacturing feasibility analysis based on the set of manufacturing data; and
in response to a determination that an analysis result of the manufacturing feasibility analysis is feasible, perform the product manufacturing corresponding to sub-process based on the sub-process manufacturing data, wherein
both the service platform and the management platform adopt a front sub-platform arrangement, and the sensor network platform adopts a centralized arrangement; the front sub-platform arrangement means that the service platform and the management platform are provided with a main platform and a plurality of sub-platforms, the plurality of sub-platforms store and process data of different types or different receiving objects sent by a lower-level platform respectively, and the main platform aggregates, stores and processes the data of the plurality of sub-platforms, and transmits the data to an upper-level platform, the centralized arrangement means that the sensor network platform uniformly receives data, uniformly processes data, and uniformly sends data;
when the user platform generates the product manufacturing task based on a user, the product manufacturing task is sent to a main platform of the service platform as a first instruction; and the first instruction at least includes product information and manufacturing volume information in the product manufacturing task;
after receiving the first instruction, the main platform of the service platform retrieves pre-stored manufacturing process information of a corresponding product based on the product information, and decomposes the process based on the manufacturing process information, obtains a plurality of sub-process information sorted by the sequence of the process execution time, and extracts a plurality of sub-process name information corresponding to the plurality of sub-process information, sends the sub-process information and the manufacturing volume information to the sub-platforms of the service platform corresponding to sub-process names based on the sub-process name information;
after receiving the sub-process information and the manufacturing volume information, and the sub-platforms of the service platform calculate a total manufacturing time of the sub-process, integrate the sub-process information, the manufacturing volume information, and the total manufacturing time as a corresponding sub-process manufacturing data and send the corresponding sub-process manufacturing data to a main platform of the management platform;
the main platform of the management platform receives all sub-process manufacturing data and composes the set of manufacturing data based on the sequence of process execution time, and performs the manufacturing feasibility analysis based on the set of manufacturing data, in response to a determination that an analysis result of the manufacturing feasibility analysis is feasible, the main platform of the management platform executes:
sending all the sub-process manufacturing data to sub-platforms of the management platform corresponding to the sub-process;
after receiving the sub-process manufacturing data, the sub-platforms of the management platform performing object platform matching, and sending the sub-process manufacturing data to the sensor network platform; and
the sensor network platform receiving the sub-process manufacturing data and sending the sub-process manufacturing data to the at least one object platform that is matched, and the at least one object platform receiving the sub-process manufacturing data and executing the product manufacturing of the corresponding sub-process based on the sub-process manufacturing data.