IoT Gas Meter Dynamic Pricing Based on Usage Reduction
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Solution Overview
Problem
Current tiered pricing methods for gas usage fail to incentivize users with large demands to conserve gas, as they are often placed in high pricing tiers and do not benefit from gas-saving efforts.
Innovation Solution
A gas pricing method based on a compound IoT system that calculates month-on-month reduction rates for gas usage and applies discounts to users with top reduction rates, reducing their fees by 10% to encourage gas saving.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If tiered pricing is applied to limit gas usage, then gas consumption is controlled for average users, but users with large gas demand cannot benefit from gas-saving efforts
Solution Approach 1:
The pricing system dynamically adjusts gas fees based on real-time gas consumption data and calculated reduction rates. Instead of static tiered pricing, the system continuously monitors gas usage and applies variable pricing that responds to user behavior changes, allowing users with large demand to reduce fees by demonstrating gas-saving efforts through measurable reduction rates.
Solution Approach 2:
The system calculates month-on-month reduction rates based on actual gas consumption data and feeds this information back to determine pricing. The feedback loop compares current consumption against historical data, computes reduction rates, and adjusts fees accordingly, creating a responsive pricing mechanism that adapts to user gas-saving behavior regardless of initial demand level.
2Productivity
If basic demand is placed in high pricing tier, then gas usage is limited for average users, but users with very large gas demand are penalized regardless of their gas-saving efforts
Solution Approach 1:
The system changes the pricing parameter from fixed tier-based rates to variable rates based on reduction rates. By calculating month-on-month reduction rates as a new parameter and using this to adjust pricing, the system allows users with large base consumption to achieve lower effective rates if they demonstrate sufficient reduction in their reduction rate calculations, thus changing the pricing parameter dynamically rather than statically.
Data Source
AI summary
The present invention relates to the field of Internet of Things (IoT), and provides a gas pricing method based on a compound IoT and an IoT system. The method is applied to the system. The system includes a user platform, a service platform, a plurality of management sub-platforms, a sensor network platform and a plurality of object sub-platforms; and each of the object sub-platforms includes a gas meter. According to the gas pricing method based on the compound IoT and the IoT system, a user can sense the benefit of gas saving directly from a fee, thereby helping push a gas-saving social morality.