Meter Environment Data Analysis for Predictive Energy Meter Management
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Solution Overview
Problem
Existing gas energy meter systems only collect and analyze usage data, limiting the scope of analysis and the services provided, necessitating a method to incorporate meter installation and environmental information for richer data analysis and improved operation management.
Innovation Solution
A system and method that collects energy usage and environmental data together, predicts meter states based on this data, and controls meter operations to enhance efficiency and battery life, identifying hard-to-read or low-temperature regions and adjusting communication intervals accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If only energy usage data is collected from meters, then the data collection system remains simple, but the scope of analysis is limited and services provided are restricted
Solution Approach 1:
The patent combines multiple data collection functions into a unified system that simultaneously gathers energy usage data, environmental data (temperature, humidity, pressure), and meter installation information through a single data collection platform, thereby expanding analysis scope without proportionally increasing system complexity
Solution Approach 2:
The data collection system is designed with multi-functionality to handle diverse data types including energy consumption data, environmental sensor data, and meter status information, enabling the system to serve multiple analysis purposes while maintaining a unified collection mechanism
2Adaptability or versatility
If environmental data collection is added to expand analysis scope, then more diverse energy services can be provided, but the complexity of the data collection system increases
Solution Approach 1:
The patent segments data collection into distinct categories (energy usage data, environmental data, installation information) with dedicated collection methods for each type, allowing the system to manage complexity through structured organization while providing diverse energy services through comprehensive data coverage
3Productivity
If meter states are predicted using environmental data, then operation management efficiency is improved, but the complexity of data processing increases
Solution Approach 1:
The system performs preliminary data processing by pre-collecting and organizing environmental data and meter information in structured formats, preparing the data foundation in advance to enable efficient state prediction and operation management without creating processing bottlenecks during critical operations
Data Source
AI summary
Provided are an energy big data system and an operation management method associated with meter environment information. A method for managing meters according to an embodiment includes: collecting energy usage data from the meters; collecting environmental data of the meters; and predicting states of the meters, based on the collected environmental data. Accordingly, states of meters may be predicted based on collected environmental information and meter reading information of the meters, so that the meters may be efficiently operated and managed, and a new energy service may be provided through analysis of big data including meter reading information and meter installation environment information.