Bluetooth Passenger Movement Detection for Elevator Call Accuracy
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Solution Overview
Problem
Existing elevator systems face challenges in accurately determining whether a passenger's movement in an elevator landing area intends to use the elevator, leading to invalid elevator call requests.
Innovation Solution
A movement detection system that uses a first Bluetooth module in the elevator landing area to broadcast a signal, which is received by a personal mobile terminal carried by the passenger, generating movement data. This data is analyzed by a movement prediction unit to distinguish between normal and abnormal movements, utilizing historical data and machine learning to improve prediction accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If automatic elevator call technology is implemented based on passenger movement detection, then passenger convenience is improved, but invalid elevator call requests are generated
Solution Approach 1:
The system performs preliminary actions by detecting passenger movement towards the elevator and pre-generating elevator call requests before the passenger actually reaches the elevator. This allows the system to anticipate passenger intent and prepare the elevator call in advance, improving convenience while maintaining accuracy through subsequent verification steps.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring passenger movement data and elevator call status. When a passenger moves towards the elevator, the system generates a call request and then monitors whether the passenger actually enters the elevator. This feedback loop allows the system to learn from past behaviors and refine its prediction accuracy, reducing invalid calls while maintaining convenience.
2Measurement precision
If movement detection sensitivity is increased to capture all passenger intentions, then detection accuracy is improved, but false detection of abnormal movements increases
Solution Approach 1:
The system segments movement detection into multiple distinct types: normal movement towards elevator, abnormal movement away from elevator, and waiting movement near elevator. Each movement type is detected and analyzed separately with specific criteria, allowing the system to accurately distinguish between legitimate elevator requests and false abnormalities, thereby improving detection precision while reducing false positives.
3Measurement precision
If Bluetooth signal tracking is continuously monitored to predict passenger movement, then prediction accuracy is improved, but system complexity increases
Solution Approach 1:
The system uses the personal mobile terminal's Bluetooth functionality for multiple purposes: detecting passenger presence, tracking movement trajectory, predicting movement intent, and verifying elevator entry. By making the mobile terminal serve multiple functions, the system achieves high prediction accuracy without adding separate dedicated devices, thereby maintaining relatively simple system architecture while improving measurement precision.
Data Source
AI summary
A movement detection system for a passenger in the present invention includes: a first Bluetooth module (150) mounted in an elevator landing area; and a movement prediction unit (270) configured to predict, based on Bluetooth movement data, that a movement of a passenger in the elevator landing area is a normal movement or an abnormal movement. The movement detection system and a movement detection method in the present invention can automatically detect an abnormal movement of a passenger, and are especially applicable to an elevator system that completes an elevator call operation without an input operation.