Automatic Sensor Actuator Binding via Description Data
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Solution Overview
Problem
Current methods for binding sensors and actuators in sensor networks are either overly complex, prone to incorrect bindings, or require frequent updates of binding rules, especially when dealing with multiple devices, leading to increased operational burdens and potential errors.
Innovation Solution
A system and method that automatically bind sensors and actuators by acquiring event description data and action description data, using a device database and binding generator to generate binding rules based on location and application fields, reducing the need for frequent rule updates and simplifying the binding process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual binding method is used, then user can select and bind sensors and actuators, but the process becomes complicated and time-consuming when the number of devices is large
Solution Approach 1:
The system performs binding operations automatically without requiring user intervention. The binding generator autonomously matches sensors and actuators based on their description data, eliminating the need for users to manually select and pair devices, thereby resolving the contradiction between ease of operation and time consumption.
Solution Approach 2:
The patent replaces the manual mechanical process of binding (user clicking buttons and selecting devices) with an automated information processing system. The binding generator uses event description data and action description data to automatically establish bindings, substituting human operations with computational processes.
2Extent of automation
If automatic binding method is used with fixed rules, then binding can be established automatically, but the rules must be updated frequently when new sensors or actuators are added
Solution Approach 1:
The binding generator uses universal description data structures (event description data and action description data) that can represent any sensor or actuator type. This universal approach allows the system to automatically bind new devices without requiring device-specific rules, resolving the contradiction between automation and adaptability.
Solution Approach 2:
The binding system is dynamic and adaptable to new devices. When new sensors or actuators are added, the binding generator automatically processes their description data and creates appropriate bindings without requiring static, pre-defined rules. The system evolves automatically as new devices are introduced to the network.
3Productivity
If automatic binding method is used with multiple sensors and actuators, then binding can be established quickly, but wrong bindings may occur between mismatched devices
Solution Approach 1:
The binding generator uses feedback from matching event description data and action description data to verify correct bindings. The system compares the characteristics of sensors and actuators, and only establishes bindings when the description data indicates compatibility, preventing wrong bindings while maintaining high productivity.
Solution Approach 2:
The patent introduces description data as an intermediary between sensors and actuators. The event description data and action description data serve as mediators that enable accurate matching without direct user intervention. This intermediary mechanism ensures that bindings are both fast and reliable by using structured data to guide the matching process.
Data Source
AI summary
The method for binding a sensor and an actuator can be categorized into three types: manual binding, automatic binding and semi-automatic binding. Manual binding methods increase users' operational burden when a great number of sensors and actuators are to be bound. The current hard-coded automatic binding method suffers from lack of versatility. The template-based semi-automatic binding method still requires users to input some information manually. The disclosure provides an automatic binding method, which can automatically and reasonably bind the functions of a sensor and an actuator without user input, in a sensor network comprising a plurality of sensors and actuators.