蒙自Online Water Environment Monitoring System

Our company is launching a next-generation intelligent online water environment monitoring system. Seamlessly integrating unmanned vessel cluster cruising technology, multi-source sensor networks, and an AI-powered big data platform, it delivers 24/7, full-dimensional, and end-to-end intelligent monitoring of river, lake, and reservoir water environments—providing critical scientific support for water ecosystem protection, pollution source tracing, and real-time emergency alerts.

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蒙自Online monitoring system for water environment

蒙自Software Product

Product Description

I. Customer Pain Points

1. Inefficient regulation
Relying on manual sampling with low frequency (1–4 times per month) prevents the capture of sudden pollution events.
Data is delayed, and pollution isn’t detected until after it has already spread, leading to high costs for emergency response and cleanup.

2. Difficulty in tracing pollution sources
Traditional monitoring cannot pinpoint pollution sources in real time, making it difficult to hold enterprises accountable for illegal discharges.
Responsibility for cross-regional water pollution is unclear, leading to frequent disputes.

3. High O&M Costs
Artificial sampling plus laboratory analysis accounts for more than 60% of the total monitoring budget.
Monitoring remote water bodies (such as reservoirs and upper river reaches) requires significant manpower.

4. Lack of water quality alerts
Without a real-time early warning system, the safety risks to drinking water sources are high.
When incidents such as algal blooms and heavy metal contamination were discovered, they had already impacted people's livelihoods.

II. Overview of the Plan

Our company is launching a next-generation intelligent online water environment monitoring system. Seamlessly integrating unmanned vessel cluster cruising technology, multi-source sensor networks, and an AI-powered big data platform, it delivers 24/7, all-dimensional, and end-to-end intelligent monitoring of river, lake, and reservoir water environments—providing robust scientific decision support for water ecosystem protection, pollution source tracing, and real-time emergency alerts.

1. Intelligent Unmanned Vessel Cluster Cruise Monitoring

Technical Highlights	Application Value
Self-Organized Network Collaborative Cruise: Multi-Vessel Intelligent Obstacle Avoidance and Task Allocation	Covering blind spots in complex waterways and enhancing monitoring efficiency 300%
Adaptive Path Planning : Automatically adjust the航线 based on hydrological dynamics	Break through traditional monitoring limitations such as hidden currents and shallow areas.
Solar energy + Fast-charging dual-mode power supply : Single-ship endurance ≥8 Hour	Supports large-scale continuous operations
5G/ Satellite dual-channel data transmission : Real-time transmission of monitoring data	Ensuring Communication Reliability in Extreme Environments

2. Comprehensive Monitoring of Water Quality Parameters
Surface water bodies: pH, dissolved oxygen, turbidity, conductivity
Deep-profile analysis: Layered temperature, nutrient salts (total phosphorus/total nitrogen), heavy metals (lead/cadmium/arsenic)
Biological indicators: Coliforms, biotoxicity (luminescent bacteria assay)
Environmental factors: Flow velocity and direction, meteorological parameters (wind speed/solar radiation/rainfall)

3. Intelligent Operations and Maintenance Management
Equipment self-diagnosis: Sensor abnormalities and low battery levels are automatically reported.
Remote Calibration: Supports technicians providing video guidance for on-site maintenance.

4. Decision Support Systems
Generate a dynamic heat map of the "Water Quality Health Index," visually showcasing regional risk levels.
Integrate meteorological and hydrological data to predict water quality changes over the next 72 hours (accuracy > 90%).

Technical advantages:
Equipped with a modular sensor array: supports synchronous acquisition of 15+ parameters.
Dynamic visualization: Automatically generates trend charts and heatmaps from data, supporting real-time viewing on both PC and mobile devices.
Smart Alert: AI identifies water quality anomalies (such as excessive COD levels) and triggers tiered alerts.

Module	Core Competencies
AI Pollution Tracing System	Real-time probability of locating pollution source positions based on machine learning algorithms
Water Quality Prediction and Early Warning Platform	Integrating hydrological models to simulate and forecast 72-hour water quality trends.
Emergency Decision Support	Automatically generate pollution treatment plans (chemical dosing/interception recommendations)
Ecosystem Health Assessment	Multidimensional Evaluation Report on the Water Quality Index (WQI)

End-to-end closed-loop management

III. Application Scenarios

Scene	Two points for the solution
Drinking Water Source Protection	Real-time bio-toxicity alerts ensure water quality safety.
Smart Management of the River Chief System	Automatically generate river patrol reports and assessment data
Industrial Wastewater Discharge Regulation	AI-Driven Identification and Traceability for Illegal Discharge via Underground Pipelines
Aquaculture Monitoring	Intelligent dissolved oxygen regulation reduces aquaculture risks.
Emergency Pollution Response	Pollution plume movement trajectory prediction, precise interception

IV. Benefit Analysis

Efficiency Improvement: Monitoring costs have been reduced by 45%, and response time has been shortened from hours to minutes.
Decision Upgrade: Pollution incident response efficiency increased by 70%, and the scientific rigor of remediation plans improved by 90%.
Compliance Assurance: Complies with the requirements of the "Ecological and Environmental Monitoring Regulations" and the HJ series standards.
Ecological benefits: Helping restore aquatic ecosystems and reducing environmental risks such as blue-green algae blooms.

蒙自None