Acoustic Signal Device Provisioning via Passive Tag Motion
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Solution Overview
Problem
Existing sensor devices in smart environments are underutilized due to the need for significant user intervention and configuration, limiting their ability to perform advanced tasks and integrate with other devices effectively.
Innovation Solution
The use of passive tags that generate acoustic signals in response to physical motion, allowing for the detection and analysis of these signals by sensor devices to identify and monitor objects and provision devices, thereby simplifying configuration and enhancing integration within smart environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If devices are configured with individual sensor capabilities and advanced features, then device functionality and sensor capabilities are improved, but user intervention and configuration time increase significantly
Solution Approach 1:
The system enables devices to automatically provision themselves by detecting acoustic signals from passive tags. When a device is placed in an environment, it autonomously detects the acoustic signature, identifies the object state, and configures itself without requiring user intervention, thus resolving the contradiction between device capability and configuration time
Solution Approach 2:
Passive tags are pre-configured with acoustic signatures that correspond to specific object states before deployment. This preliminary preparation allows the system to quickly identify and provision devices based on pre-established acoustic patterns, eliminating the need for time-consuming configuration processes
2Manufacturing precision
If devices are set up with significant user intervention, then device configuration accuracy is improved, but ease of operation deteriorates
Solution Approach 1:
The system replaces manual configuration operations with acoustic signal detection and automated processing. Acoustic sensors detect passive tag signatures, and the system automatically matches these signatures to provision devices, substituting user intervention with an automated acoustic-based provisioning mechanism that maintains accuracy while improving ease of operation
3Measurement precision
If sensor capabilities are enhanced in individual devices, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system employs passive tags that can be universally applied to multiple object types without requiring different sensor configurations. A single acoustic sensing mechanism can detect and differentiate various object states by analyzing acoustic signatures from different passive tags, reducing device complexity while maintaining measurement precision across diverse applications
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables more efficient monitoring and provisioning of devices, increasing user satisfaction and the effectiveness of smart environments by automating the detection of object states and triggering alerts or actions without requiring extensive user intervention.
Implementation Method 1
passive tags that generate acoustic signals in response to physical motion
Data Source
AI summary
A computer system is communicably coupled to one or more sensor devices. The computer system obtains a database of stored acoustic signatures characterizing predefined acoustic signals generated by passive tags in response to physical motion of the passive tags. The passive tags are associated with non-provisioned devices, and the acoustic signatures are associated with sets of executable instructions for provisioning the non-provisioned devices. A first acoustic signal characterized by a respective acoustic signature and generated by a first passive tag is detected. In response, and based on the respective acoustic signature and information in the database, a first non-provisioned device associated with the respective acoustic signature is identified, and a first set of executable instructions for provisioning the first non-provisioned device is identified. After, the computer system causes execution of the first set of executable instructions, thereby causing to commence a software process for provisioning the first non-provisioned device.


