Wireless Cargo Detection System Power Optimization
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Solution Overview
Problem
Current mobile asset monitoring systems face challenges in quickly and efficiently installing wireless communication and sensing technologies on mobile assets like containers and trailers, particularly due to power management and interference issues, which affect the accuracy of cargo detection and increase installation time.
Innovation Solution
An autonomous wireless mobile asset monitoring system that uses ultrasonic transceivers to detect cargo presence by emitting and receiving acoustic signals, with a processor applying cargo detection algorithms and managing power and data transmission efficiently over broadband or narrowband networks, and includes a door sensor for tracking door states and environmental sensors for compensation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple acoustic signals are emitted to improve cargo detection reliability, then measurement precision is improved, but use of energy increases
Solution Approach 1:
The system dynamically adjusts the number of acoustic signals emitted based on operational conditions and energy availability. The processor determines whether to emit one or multiple acoustic signals per zone based on current power status and detection requirements, allowing the system to optimize between detection reliability and power consumption in real-time
Solution Approach 2:
The system changes the parameter of signal repetition based on energy conservation requirements. When energy conservation is needed, the system emits fewer signals (parameter reduction); when detection reliability is prioritized, the system emits multiple signals (parameter increase). This conditional parameter adjustment resolves the contradiction between measurement precision and energy use
2Measurement precision
If full scanning data is transmitted to improve detection accuracy, then measurement precision is improved, but loss of energy increases due to data transmission
Solution Approach 1:
The system extracts and transmits only the essential binary scanning results (cargo detected/not detected) to the backend infrastructure, rather than transmitting all raw acoustic signal data. This selective extraction maintains sufficient detection accuracy while dramatically reducing the energy required for data transmission over narrowband satellite networks
Solution Approach 2:
The system transmits partial data (binary results only) rather than complete raw data when energy conservation is required. This partial action approach provides sufficient information for fleet management decisions while minimizing transmission energy consumption. When energy is abundant and broadband terrestrial networks are available, the system can transmit more complete data for enhanced processing
3Reliability
If cables are installed for power supply to ensure reliable power, then reliability is improved, but installation time increases
Solution Approach 1:
The system replaces the mechanical cable-based power supply with a wireless power transmission system. The asset monitoring device receives power wirelessly through electromagnetic coupling, eliminating the need for physical cable installation while ensuring reliable power supply. This substitution maintains power reliability without the installation time penalty of cable routing and connection
Solution Approach 2:
The system enables the monitoring device to obtain power autonomously without requiring external cable connections or manual power setup. The wireless power transmission allows the device to self-power upon installation, making the installation process simpler and faster while maintaining reliable power supply for operation
4Loss of information
If broadband terrestrial network is used to transmit more data, then loss of information is reduced, but use of energy increases
Solution Approach 1:
The system dynamically selects the data transmission mode based on available network infrastructure and energy constraints. When broadband terrestrial networks are available and energy is sufficient, the system transmits comprehensive analog scanning data to minimize information loss. When energy is constrained or only narrowband satellite networks are available, the system transmits compressed binary results, accepting some information reduction to conserve energy
Solution Approach 2:
The system changes the data transmission parameter (data volume and detail level) based on network capabilities and power availability. Broadband terrestrial networks enable high-data-volume transmissions with minimal information loss, while narrowband satellite networks require low-data-volume transmissions that accept greater information reduction. This parameter adaptation resolves the contradiction between information completeness and energy consumption
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
The system provides rapid, robust, and power-efficient cargo detection with improved reliability and reduced installation time, leveraging broadband terrestrial networks when available and optimizing power usage, while minimizing interference and false positives.
Implementation Method 1
scanning comprises emitting at least one acoustic signal from the at least one transceiver, wherein if energy conservation is a requirement of the system, the at least one transceiver emits one acoustic signal, and wherein if energy conservation is not a requirement of the system, the at least one transceiver emits multiple acoustic signals
Data Source
AI summary
Disclose are various approaches for optimizing operation of an autonomous wireless mobile asset monitoring system. The approaches involve detecting the presence of cargo in a mobile asset. First, if energy conservation is a requirement of the system, each zone of the mobile asset is scanned until cargo is detected in one of the zones. Then, the results of the scan are transmitted to backend infrastructure. Alternatively, if energy conservation is not a requirement of the system, every zone of the mobile asset is scanned and the results of the scan are transmitted to backend infrastructure.