Acoustic Tree Pest Detection via Non-Invasive Sensors
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Solution Overview
Problem
Current methods for detecting larvae and insects in trees are often late in detection, leading to the spread of pests and the need for excessive chemical use, as they require invasive methods and lack efficient early detection systems.
Innovation Solution
A system and method utilizing electronic devices with microphones and accelerometers installed inside or adjacent to trees to detect vibrations and sounds produced by larvae and insects, connected through a Cloud/Big Data service for data gathering, analytics, and alert generation, processing longitudinal and transverse waves to identify pest activity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If invasive methods (drilling, coring) are used to detect pests inside trees, then detection accuracy is improved, but tree damage and destruction occur
Solution Approach 1:
The patent uses acoustic sensors as intermediaries to detect pest activity inside trees without direct contact or invasion. The sensors capture sound waves generated by pest movements and feeding activities through the tree bark and wood, allowing detection of internal conditions without drilling or coring the tree.
Solution Approach 2:
The patent replaces mechanical invasive methods (drilling, coring) with acoustic field-based detection. Instead of physically penetrating the tree structure, the system uses acoustic sensors to listen for pest-generated sounds, substituting mechanical intrusion with non-contact acoustic measurement.
2Object-affected harmful factors
If non-invasive acoustic methods are used to detect pests, then tree damage is reduced, but detection precision and early detection capability deteriorate
Solution Approach 1:
The patent implements preliminary action by continuously monitoring acoustic signals to detect pest presence at early stages of infestation. The system establishes baseline acoustic profiles of healthy trees and detects deviations that indicate early pest activity, enabling early intervention before significant damage occurs.
Solution Approach 2:
The patent enhances non-invasive detection precision by using sensitive acoustic sensors and signal processing techniques to detect subtle sound waves generated by pest activities. The acoustic measurement system captures frequency and amplitude characteristics of pest-generated sounds, providing precise detection without mechanical invasion.
3Device complexity
If traditional detection methods are used, then device complexity is low, but detection timing is late and chemical usage increases
Solution Approach 1:
The patent replaces simple visual inspection methods with acoustic sensor-based detection systems. The acoustic sensors continuously monitor for pest-generated sounds, providing real-time detection capability that alerts operators to pest presence much earlier than traditional methods, reducing the time loss associated with late detection.
Solution Approach 2:
The patent implements feedback mechanisms where acoustic sensor data is processed and analyzed to provide real-time information about pest presence. The system compares detected acoustic signals against known pest sound profiles and provides immediate feedback when pest activity is detected, enabling timely intervention before infestations spread.
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
Enables early and accurate detection of pests, reducing chemical usage and preventing the spread of infestations by providing real-time monitoring and alerts, thereby protecting trees effectively.
Implementation Method 1
A system and method utilizing electronic devices with microphones and accelerometers installed inside or adjacent to trees to detect vibrations and sounds produced by larvae and insects
Implementation Method 2
A system and method utilizing electronic devices with microphones and accelerometers installed inside or adjacent to trees to detect vibrations and sounds produced by larvae and insects
Data Source
AI summary
A system for monitoring for presence of insects in non-hollow trees, the system including a structural element configured to be driven into the tree's interior and bearing a vibration sensor; and a processor configured to receive data recorded by the sensor, to detect presence of insects in the tree's interior by analyzing said data, and to generate alerts accordingly.