LibraAI Water Management Model Integrated Solution

LibraAl Water Large Model
The LibraAI water management model, a deployed vertical solution, integrates efficient code, multimodal understanding, and prediction models. Combined with "intelligent robots," it introduces an AI product capable of multimodal human-machine interaction. Supported by a complete model ecosystem and full technical backing, it acts as the "smart brain" for water management decisions, enhancing intelligent water management through AI.
- Government
- Enterprise
- Testing Agency

Computing Power
- GPU Scheduling
- Elastic Training
- Inference Acceleration
- Distributed Training Acceleration
- Distributed Computing
- Domain-specific Optimization
Big Data
- Water Knowledge
- Operational Data
- Production Data
- Work Information
- Engineering Case
- Regulations
End-to-End Intelligent Inspection Product
- Utilizing "robotics" and "artificial intelligence" technologies as the foundation, and adhering to national standards, we conduct precise detection of various water samples, including wastewater and surface water at different stages of the sewage treatment plant process, including inflow and outflow
Intelligent Laboratory Robot

Activated Sludge Smart Detector

Activated sludge Bio-microscope System

Intelligent Coagulation Dosage

Core Functions
- The LibraAI Water Management Model integrates industry-specific knowledge on a scale of tens of billions, providing users with six core functionalities to facilitate comprehensive data value excavation across the entire water management chain, precise control over all aspects of processes, and intelligent decision-making across all business applications

Awarded the Certificate by theChina Water Association
The Intelligent National Standard Lab equipment is internationally advanced, featuring leading multi-sample testing and intelligent test plan generation technologies.

Successful Cases
The "AI-driven operation system" has served 55 clients across 30+ cities in provinces like Heilongjiang, Xinjiang, Jilin, Liaoning, Inner Mongolia, Zhejiang, Jiangsu, Guangdong, and Fujian, with over 100 process systems
Category | Scale | Number | Detailed description |
---|---|---|---|
Typical case of full implementation of AI operation system | Above 1 million tons per day | 2 companies | Full implementation of AI operation system (in progress) |
Multiple typical cases of AI operation system implementation | 0.5 to 1 million tons per day | 10 companies | Adaptive Carbon Source Dosing, Water Quality Prediction Systems, etc. |
0.1 to 0.5 million tons per day | 21 companies | Adaptive Phosphorus Removal, Water Quality Prediction, Continuous Monitoring Systems, etc. | |
Below 0.1 million tons per day | 22 companies | Continuous Process Monitoring, Adaptive Carbon Dosing, Adaptive Aeration Systems, etc. |