Interdependent Binding Activation Using Dependency Graph Load Order
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Solution Overview
Problem
Existing systems for controlling industrial processes using data bindings often produce false results due to bindings being initiated in random order without considering dependencies, leading to inefficiencies and unnecessary processing and network load.
Innovation Solution
The system generates and analyzes a dependency graph before initiating binding configurations, ensuring that each binding is configured only after the results needed for it are ready, thereby avoiding the use of invalid results and improving efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If bindings are initiated in random order without considering dependencies, then the system can start processing immediately, but false results are produced and processing efficiency deteriorates
Solution Approach 1:
The system performs preliminary analysis to generate a dependency graph before initiating binding configurations. This preliminary action identifies all dependencies and establishes a valid execution order, ensuring that bindings are configured only after their dependencies are satisfied, thereby preventing false results while maintaining efficient processing
Solution Approach 2:
The system uses the dependency graph as feedback to control the binding initiation process. By continuously checking the graph to determine whether dependencies are satisfied before initiating each binding configuration, the system ensures result accuracy while avoiding unnecessary processing delays
2Ease of operation
If bindings are configured independently without awareness of other bindings, then configuration simplicity is maintained, but dependent bindings produce false values
Solution Approach 1:
The dependency graph serves as an intermediary structure that connects independent bindings while capturing their relationships. This intermediary enables the system to maintain simple independent configuration of each binding while simultaneously ensuring that dependency relationships are properly established and respected during execution
3Speed
If bindings are initiated without waiting for dependency results, then processing speed is improved, but invalid results are used as input
Solution Approach 1:
The system performs preliminary dependency analysis to determine the exact waiting requirements for each binding. This allows the system to wait only as long as necessary for dependency results while avoiding unnecessary delays, ensuring that valid input data is available when each binding is initiated
Solution Approach 2:
The system dynamically adjusts the initiation timing of each binding based on its specific dependencies. Rather than using a fixed waiting period or initiating all bindings simultaneously, the system adapts the initiation schedule to match the actual availability of dependency results, optimizing both speed and data validity
Data Source
AI summary
A system for efficiently configuring bindings based on a dependency graph is described. The system may generate or access a graph comprising a set of nodes. Each node may represent a binding and is associated with a component property of a component hierarchy corresponding to a hierarchical structure of a data model. Each node of the graph may be connected to at least one other node with an edge representing a dependency in the hierarchical structure of the data model. The system may receive a request to generate a view associated with the set of bindings. The system may determine an order to load the set of bindings based on the graph, and may load the set of bindings based on the determined order.