Gas Data Platform Temperature Compensation for Meter Reading Accuracy
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Solution Overview
Problem
Existing gas consumption measurement technologies fail to accurately account for temperature variations without a temperature sensor, especially in advanced metering infrastructure (AMI) systems or when meter readings are performed by consumers, leading to inaccuracies in gas usage calculations.
Innovation Solution
A method that collects gas meter reading data and temperature data separately, calculates an average temperature, and applies temperature compensation to correct energy usage, using a data correction server that communicates with a weather server to adjust for seasonal and environmental factors, such as varying weights for daytime and nighttime temperatures based on usage patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If temperature sensor is not provided in AMI meter or meter reading is performed by consumer, then device complexity is reduced and ease of operation is improved, but measurement precision of gas consumption deteriorates due to inability to obtain temperature data for compensation
Solution Approach 1:
The patent introduces a weather server as an intermediary to provide temperature data to the gas data platform. Instead of installing temperature sensors in the gas metering system, the system obtains temperature information from an external weather server based on the installation location, thereby resolving the contradiction between measurement accuracy and device complexity
Solution Approach 2:
The gas data platform is enhanced with multi-functionality by integrating weather data acquisition and temperature compensation capabilities. The platform not only collects gas meter reading data but also automatically obtains temperature data from weather servers and performs compensation calculations, eliminating the need for dedicated temperature sensing hardware in the gas metering system
2Measurement precision
If temperature data collection period is shorter than gas meter reading data collection period, then temperature measurement precision is improved, but loss of time increases due to more frequent data collection
Solution Approach 1:
The patent applies partial action by collecting temperature data at a higher frequency than gas meter reading data. Temperature data is collected more frequently (shorter period) than gas consumption data, providing sufficient temperature information for accurate compensation without requiring continuous simultaneous collection of both data types. This excessive temperature data collection ensures accuracy while managing time resources efficiently
3Measurement precision
If variable weights are given to daytime and nighttime temperature data based on gas boiler usage, then measurement precision of energy usage is improved, but device complexity increases due to conditional processing logic
Solution Approach 1:
The patent implements dynamic weighting where the weight coefficients for daytime and nighttime temperature data are adjusted based on detected gas boiler usage patterns. When gas boiler usage is detected, different weight coefficients are applied compared to when it is not used. This dynamic adaptation improves energy usage measurement precision by reflecting actual consumption patterns, while the complexity is managed through automated detection and calculation algorithms
Data Source
AI summary
There is provided a temperature data-based gas usage correction method for a gas data platform. According to an embodiment, an energy usage correction method may collect gas meter reading data, may calculate energy usage based on the gas meter reading data, may collect temperature data, and may correcting the calculated energy usage. Accordingly, when it is impossible to obtain temperature in reading a gas meter, temperature compensation may be performed by linking temperature data collected separately and gas usage, and gas usage may be more exactly measured by correcting gas usage by compensating for temperature variation caused by a difference in seasons, installation regions in a gas data platform.