Indoor Vehicle Activity Detection Using Wireless and Accelerometer Data
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Solution Overview
Problem
Current methods for managing and analyzing vehicle fleets within buildings are time-consuming and prone to errors, leading to suboptimal utilization due to manual observations and tools like stopwatches, resulting in inefficient use of vehicles.
Innovation Solution
A method and system using mobile devices equipped with accelerometers and wireless communication protocols to determine the activity state of vehicles within a covered area, including active and inactive states, by analyzing signal strength and movement data from access points, allowing for precise vehicle location and activity analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual observation and stopwatch tools are used to analyze vehicle fleet activity, then the method is simple to implement, but the analysis is time-consuming and prone to errors
Solution Approach 1:
The patent replaces manual mechanical observation methods with an automated electronic system that uses mobile devices, access points, and processors to automatically collect and analyze vehicle activity data, thereby eliminating human error and time-consuming manual tracking
Solution Approach 2:
The system enables self-service monitoring where vehicles automatically report their own location and activity status through mobile devices and wireless communication with access points, eliminating the need for external manual observation
2Productivity
If manual methods are used for vehicle fleet management, then the system complexity is low, but the utilization optimization is insufficient
Solution Approach 1:
The patent creates a multi-functional system where mobile devices serve multiple purposes (location tracking, activity monitoring, communication), and the same infrastructure (access points, processors) handles data collection, analysis, and optimization tasks across the entire vehicle fleet
Solution Approach 2:
The system introduces intermediate components (mobile devices as mediators between vehicles and the central processing system, access points as intermediaries for wireless communication) that enable automated data collection and analysis without requiring direct manual intervention
3Reliability
If the number of vehicles is increased to ensure adequate coverage, then the service availability improves, but the operational costs increase
Solution Approach 1:
The patent implements feedback mechanisms where the system continuously monitors actual vehicle utilization patterns and activity levels, then uses this information to optimize fleet size and deployment, ensuring adequate service availability while minimizing the number of vehicles required
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 accurate determination of vehicle activity and location, optimizing fleet utilization by identifying excess or insufficient vehicle numbers, reducing operational costs and improving efficiency.
Implementation Method 1
the at least one vehicle comprising a mobile device configured to communicate with the plurality of access points according to a wireless communication protocol
Implementation Method 2
reception of second data representative of the movement of the mobile device, the second data being obtained from at least one accelerometer associated with the mobile device
Data Source
Figure 1~2
Figure 3~4
AI summary
The invention concerns a method and a device for determining a state representative of the activity of at least one vehicle (11) moving inside a covered zone (10) comprising a plurality of access points (101 to 115). The vehicle (11) comprises a mobile device (12) configured to communicate with the access points (101 to 115) according to a wireless communication protocol. First data representative of signals exchanged with some access points (111 to 113) are received. Second data representative of movement of the mobile device (12) obtained from at least one accelerometer are received. The state representative of the activity of the vehicle (11) is determined from the second data and information representative of the location of the vehicle (11) in the covered zone (10) is obtained from the first data.