Smart Gas Meter Power Management via Dynamic Data Intervals
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Solution Overview
Problem
Smart gas meters powered by batteries face issues with data transmission and valve closure when battery power is low, leading to inaccurate measurements and safety concerns, and existing power-saving methods only focus on reducing screen power consumption without addressing data processing efficiency.
Innovation Solution
A method for power saving management in smart gas meters using an IoT system, where a processor inside the meter determines data collection and upload characteristics based on recommended energy consumption intervals and expected usage frequencies, optimizing energy usage and extending the meter's operational time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data transmission and processing are performed frequently to ensure accurate measurements and timely valve closure, then measurement accuracy and safety are improved, but battery power is consumed faster
Solution Approach 1:
The patent implements dynamic adjustment of data collection and transmission intervals based on real-time battery power levels. When power is sufficient, the system operates with higher data collection frequency to ensure measurement accuracy. When power drops below thresholds, the system automatically extends intervals between data collections and transmissions, allowing the meter to continue functioning with reduced frequency rather than shutting down completely.
Solution Approach 2:
The system changes operational parameters (data collection interval, transmission frequency) based on power level conditions. Different power thresholds trigger different operational modes, with parameters such as preset time intervals for data collection and expected usage frequencies being adjusted dynamically to match available power resources.
2Reliability
If data collection frequency is increased to ensure timely valve closure and accurate measurements, then safety and measurement accuracy are improved, but power consumption increases
Solution Approach 1:
The system dynamically adjusts its operational characteristics based on real-time power status. When power levels indicate sufficient energy reserves, the system maintains high-frequency data collection and transmission to ensure immediate response to safety events. When power drops, the system transitions to extended intervals while maintaining the capability to respond to critical events, balancing safety requirements with power conservation.
3Use of energy by moving object
If the preset time interval for data collection is extended to save power, then power consumption is reduced, but response time for critical events increases
Solution Approach 1:
The system implements conditional interval adjustment rather than fixed extension. During normal operation with adequate power, intervals remain short to ensure rapid response. When power thresholds are breached, intervals are extended dynamically, and the system maintains awareness of critical event patterns to adjust timing accordingly, balancing power savings with response time requirements.
Data Source
AI summary
The present disclosure discloses a method for power saving management of a smart gas meter based on smart gas and an Internet of Things system. The method includes: obtaining current power by a power detection unit; obtaining gas base data for of a preset time period from a built-in storage; sending the current power and the gas base data to a smart gas equipment management platform, and obtaining a recommended energy consumption interval of the smart gas meter and an expected usage frequency for a future time period of the smart gas meter from the smart gas equipment management platform; and determining data collection characteristics and data upload characteristics for the future time period based on the recommended energy consumption interval and the expected usage frequency; wherein the preset time interval is determined based on the current power.