Tracker Network Switching via Nearby Devices to Cut PCB Heat
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Solution Overview
Problem
The co-existence of various communication modes in IoT systems increases PCB layout difficulty, power consumption, and heat generation in trackers, which are constrained by limited space and high power and heat requirements.
Innovation Solution
An automatic network control method for trackers that enables short-range communication to determine if another device can provide remote communication, disabling the tracker's remote communication function when possible, and using that device for data exchange with a data center.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual configuration and adjustment of tracking parameters is performed, then system adaptability to different scenarios is improved, but operation complexity and time consumption increase
Solution Approach 1:
The system automatically detects current working conditions, identifies appropriate parameter configurations, and adjusts tracking parameters without manual intervention. The processor autonomously selects from pre-stored parameter sets based on real-time analysis of scene characteristics, eliminating the need for operators to manually configure parameters while maintaining high adaptability to different tracking scenarios
Solution Approach 2:
The system pre-stores multiple groups of tracking parameters corresponding to different tracking scenarios. Based on automatic recognition of current working conditions (such as target type, scene complexity, lighting conditions), the system dynamically switches between different parameter groups or adjusts individual parameters to optimize tracking performance for the specific scenario
2Adaptability or versatility
If manual configuration and adjustment of tracking parameters is performed, then system adaptability to different scenarios is improved, but time consumption increases
Solution Approach 1:
Multiple groups of tracking parameters are pre-configured and stored in the system before actual operation, each optimized for specific tracking scenarios. When a scenario is detected, the system immediately retrieves and applies the corresponding pre-prepared parameter set, eliminating the time required for real-time parameter calculation or manual configuration while maintaining scenario-specific optimization
Solution Approach 2:
The system automatically performs scenario recognition and parameter selection without requiring operator intervention. The processor continuously monitors working conditions and autonomously switches between parameter groups, enabling rapid adaptation to changing scenarios without the time delay associated with manual parameter adjustment
3Device complexity
If fixed tracking parameters are used, then device complexity is reduced, but tracking accuracy in varying conditions deteriorates
Solution Approach 1:
A single tracking device incorporates multiple groups of parameters and scenario recognition capabilities, enabling it to function effectively across diverse tracking scenarios. The system universally handles different target types, environmental conditions, and tracking requirements by automatically selecting appropriate parameters, eliminating the need for multiple specialized devices while maintaining high tracking accuracy across all scenarios
Solution Approach 2:
The tracking parameters transition from static fixed values to dynamic adjustable values that automatically adapt to changing working conditions. The system continuously monitors scene characteristics and dynamically switches between different parameter groups or adjusts parameters in real-time, maintaining optimal tracking accuracy across varying conditions without requiring complex manual reconfiguration
Data Source
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AI summary
The present disclosure discloses a network automatic control method, apparatus and device for a tracker, and storage medium, and relates to the field of the Internet of Things. The method comprises: a tracker determines, by means of short-range communication with another device, whether the other device can provide a remote communication function for the tracker; when determined that the other device can provide the remote communication function for the tracker, the tracker turns off its own remote communication function; and after the tracker has turned off its own remote communication function, the tracker exchanges data with a data center by means of the other device that can provide the remote communication function for the tracker.