Modular Production Plant with Autonomous Task Communication
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Solution Overview
Problem
Current production plants in the process industry are monolithic and inflexible, making it difficult to adapt to the production of different substances or smaller quantities, as they require a superordinate system to coordinate and possess knowledge about the entire plant, limiting scalability and flexibility.
Innovation Solution
A modular production plant with autonomous production modules that communicate through data interfaces to receive, process, and confirm tasks, allowing each module to determine which tasks it can perform and send confirmation messages, thereby eliminating the need for a superordinate control system and enabling flexible production.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a monolithic production plant with fixed pipework and unidirectional material flows is used, then the production plant can be designed with simple fixed construction, but it cannot adapt to produce different substances or smaller quantities economically
Solution Approach 1:
The production plant is divided into independent production modules that can be individually selected, configured, and arranged. Each module has standardized data interfaces for receiving task lists from downstream modules and sending task lists to upstream modules, enabling modular reconfiguration for different production requirements without redesigning the entire plant.
Solution Approach 2:
The system transitions from static fixed construction to dynamic task-oriented operation. Production modules can dynamically determine which tasks they are capable of performing based on received task lists, and the material flows are dynamically defined by task requirements rather than fixed pipework, allowing flexible adaptation to different substances and quantities.
2Reliability
If a superordinate control system with centralized knowledge of the entire plant is used, then coordination of the production plant can be achieved, but the system complexity and knowledge requirements increase significantly
Solution Approach 1:
Each production module autonomously determines which tasks it can perform by evaluating received task lists against its own capabilities. Modules self-coordinate through standardized data interfaces without requiring a superordinate control system to possess comprehensive knowledge of the entire plant, distributing intelligence and reducing centralized complexity.
Solution Approach 2:
Production modules send confirmation messages back through the task list communication path, creating a feedback mechanism that enables autonomous coordination. The feedback loop allows modules to confirm task acceptance or request modifications without centralized control, maintaining reliability while reducing system complexity.
3Ease of operation
If fixed unidirectional material flows are implemented through pipework, then the production process can be simplified with clear flow directions, but the system cannot easily adapt to different production requirements
Solution Approach 1:
Material flows are transformed from fixed physical constraints to dynamic task-defined flows. The standardized data interfaces enable task lists to define material flow directions and requirements dynamically, allowing the same physical infrastructure to support different production scenarios by changing the task definitions rather than reconfiguring physical pipework.
Data Source
AI summary
A production module for a production plant has a first data interface, an electronic response device, and a second data interface. The first data interface receives a list of tasks for producing an article or substance from a production module positioned downstream in the production direction. The electronic response device responds to tasks from the list of tasks which can be carried out by the production module. The second data interface sends the list of tasks to a production module positioned upstream in the production direction.