Smart Environmental Protection Solutions
Internet of Things (IoT) integrated in the environmental field through cloud computing technologies (IoT, Big Data, AI etc.) to foster innovations and more intelligent business practices.
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Benefits
High Accuracy
Monitoring for pollution control operations to ensure the integrity and validity of monitoring data.
Data Processing
Edge collaboration mechanism, massive data processing and high-speed data mining, information sharing and collaboration
Standardization
Smart environmental management system integrated with regulatory workflow
Customization
Customizable environmental monitoring management plan
Architecture
1
Features
Millions of devices access and data processing with efficient asynchronous processing technology.
Predictive inference, analysis, identification, prediction, simulation, and rehearsal of data through AI technology
Data deduplication, anomaly detection, normalization for the data cleansing.
Batch and Stream processing of massive data using Hadoop, Spark, Storm etc.
Benefits
Monitoring integration, including comprehensive ecological monitoring data of atmospheric environment, water environment, and soil environment.
Collaborative management mechanism integrating environmental law enforcement, monitoring, emergency response, decision-making etc.
Data sharing across industry platforms, with intelligent modeling and decision-making workflow
Intelligent decision making based on real-time and predictive data for environmental capacity assessment
Use Cases
Smart Traceability
Data Governance
Benefits
Image Recognition Model: Automate detection for dump truck without cover, site vehicle cleaning, River Flooding, Fence spraying identification, Dust, vehicle black smoke, illegal emitting, construction tower crane spray, building site without cover, dust suppression with spray, garbage truck illegal water pollution etc
Environmental Prediction, Traceability Model: Pollution Source traceability, Air Quality prediction
Features
Air quality + Pollution Monitoring: Identify pollution sources according to the pollution distribution pattern
Air quality + Online Pollution Data + Meteorological Data: Enabling accurate traceability and air quality forecast
Air quality + Environmental Assessment data + Pollutant discharge permit data: Enabling auxiliary decision-making for construction project approval.
Air quality + Pollutant discharge Permit data + Pollution Emission trading data: Enabling auxiliary decision-making on pollutant discharge permit issuance
Pollution Emission Data + Administrative fine data + Public Complaints + Credit Rating: Auxiliary decisions for enterprise operation approval
Air quality + Radiation data: Analysis of parameters such as O3 and VOC for radiation risk
For more information on use cases and technical architecture, please contact our customer service team.
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