Industrial IoT Platform Architecture for Multi-Workshop Production Control
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Solution Overview
Problem
In the field of intelligent manufacturing, implementing production task plans across multiple workshops and equipment is challenging due to complex data interactions and the risk of data errors, making it difficult to achieve overall control and unified management.
Innovation Solution
An Industrial Internet of Things system is developed with a five-platform structure, including a user platform, service platform, management platform, sensor network platform, and object platforms, which allows for independent data interaction, processing, and transmission, facilitating the coordination and execution of production task plans.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a complex Internet of Things system is used for data interaction across multiple workshops and equipment, then data transfer capability is improved, but system complexity and data interaction errors increase
Solution Approach 1:
The patent segments the complex IoT system into multiple independent platform layers (user platform, service platform, management platform, sensor network platform, object platform). Each layer handles specific functions independently, reducing overall system complexity while maintaining comprehensive data transfer capability across multiple workshops and equipment.
Solution Approach 2:
The patent introduces intermediate management platforms and service platforms that mediate between user platforms and sensor network platforms. These intermediary layers standardize data interactions, reduce errors, and simplify the complex communication paths between diverse workshops and equipment.
2Productivity
If data interaction is expanded to cover all related workshops and equipment simultaneously, then production task plan implementation is improved, but data processing pressure and transmission burden increase
Solution Approach 1:
The patent divides the data processing workload across multiple independent platforms (user platform, service platform, management platform, sensor network platform, object platform). Each platform processes only the data relevant to its function, distributing the processing pressure and avoiding the burden of handling all data centrally.
Solution Approach 2:
The patent transforms the data processing architecture from a flat, centralized structure to a multi-layered vertical structure. This dimensional change allows data to flow through specialized channels at different levels, reducing the processing burden at any single point while maintaining comprehensive production task plan implementation.
3Ease of operation
If the Internet of Things system is simplified to reduce complexity, then system ease of operation is improved, but data interaction accuracy and production task plan coordination deteriorate
Solution Approach 1:
The patent segments the system into standardized, modular platforms with clearly defined interfaces. This segmentation makes the system easier to operate while maintaining accuracy, as each module can be independently configured and validated without affecting the entire system.
Solution Approach 2:
The patent creates universal platform layers that can handle multiple functions and data types through standardized interfaces. This universality simplifies operation by providing consistent interaction methods across diverse workshops and equipment while maintaining data interaction accuracy through proven, reusable components.
Data Source
AI summary
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.