Gas operations
In the industrial gas, LNG, and medical gas fields, gas companies usually use a 'smart tank + instruments + delivery service' model to keep gas flowing to end customers. Traditional operations struggle with slow liquid level monitoring, rough delivery planning, and trouble predicting equipment issues.
The Dingli AI cloud platform is a smart operations hub built for the cryogenic media measurement industry. By linking tank instruments (like liquid level, pressure, and temperature) with AI and IoT technology, it shifts operations from 'experience-driven' to 'data-driven', helping gas companies cut costs, boost efficiency, and improve service quality.
It helps gas companies run more efficiently, deliver faster, and give customers clear, reliable, data-driven gas supply services.
Core platform features:
1. Smart forecasting and precise scheduling:
The platform uses real-time tank level data, along with customer gas usage history, production schedules, and seasonal trends, to build a gas usage prediction model. It automatically figures out how many days’ supply each tank has left and sets up delivery tasks before levels get too low. By optimising delivery routes and vehicle loads with algorithms, it offers 'delivery on demand', cutting down on emergency deliveries and empty runs.
2. Proactive alerts and health management:
The platform keeps an eye on important tank parameters in real time and sets up multiple warning levels. At the same time, it builds a health model from equipment data, spotting potential issues like instrument drift or vacuum failures early, turning reactive maintenance into proactive care.
3. Customer Service Portal:
The platform provides end customers access through a WeChat Mini Program or web interface, allowing them to view in real time:
Remaining tank quantity and estimated usage days;
Historical gas usage records and billing details;
Gas usage reminders pushed by the system.
Applicable scenarios:
Industrial gases: delivery of LNG, liquid oxygen, liquid nitrogen, liquid argon, carbon dioxide, and other gases;
Medical gases: hospital liquid oxygen stations and centralised oxygen supply systems;
Mobile tanks: real-time monitoring of Dewar bottles, tank containers, and tank trucks in transit.
By deploying the AI operations platform, gas companies can not only reduce costs and improve efficiency but also build data assets, creating differentiated service advantages in a competitive market, achieving a value upgrade from "selling gas" to "providing safe and reliable gas supply services".[eos]
