A control method for an industrial Internet of Things for intelligent control of filling production, which is applied to 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 corresponding service sub-platforms;
- 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 control method comprises:
- receiving, by the plurality of sensor network sub-platforms, defect data of products detected by different defect detection devices in the object platform respectively;
- summarizing all the defect data and sending the defect data to the general management platform uniformly by the general sensor network platform;
- revising production parameters of a target production device in the object platform according to the plurality of defect data, and sending the revised production parameters and the corresponding defect data as reference data to the target production device and the management sub-platform corresponding to the target production device by the general management platform, wherein the target production device comes from a continuous production line, the continuous production line is a mixed filling production line, and determining the target production device includes:
- determining a relationship diagram based on a production process of the mixed filling production line and devices related to the production process, wherein the relationship diagram indicates a relationship between the devices corresponding to the production processes of the mixed filling production line;
- determining the target production device by processing the relationship diagram based on a fault prediction model, the fault prediction model including a graph neural network model;
- storing the reference data and sending the reference data to the user platform through the corresponding service sub-platform by the management sub-platform;
- and
- displaying the reference data to a user by the user platform.