A spacious, well-lit industrial setting with numerous large white machines lined up in parallel rows. A person in uniform appears to be operating one of the machines. Red and blue bins are placed at intervals along the line of machines, which appear to be automated textile machines. The facility is clean and modern, with the floor marked with geometric patterns.
A spacious, well-lit industrial setting with numerous large white machines lined up in parallel rows. A person in uniform appears to be operating one of the machines. Red and blue bins are placed at intervals along the line of machines, which appear to be automated textile machines. The facility is clean and modern, with the floor marked with geometric patterns.

Clean production involves complex process logic, regulatory frameworks, and domain-specific environmental terminology that GPT-3.5 is not trained on. It lacks the domain-specific understanding needed to identify emission factors, interpret pollution control mechanisms, or generate standards-compliant recommendations. Moreover, GPT-3.5 has limited ability to model relationships between structured industrial data and textual inputs, making it unsuitable for multimodal clean production evaluations.In contrast, GPT-4 offers stronger reasoning and long-context modeling capabilities. Through fine-tuning, GPT-4 can learn the semantic patterns of clean production reports and the coupling between data sources, enabling it to support automated emissions identification and optimization strategy generation. This makes fine-tuning GPT-4 essential for achieving the objectives of this project.

NLP Annotation

Enhancing data through semantic annotation for AI training.

An aerial view of an industrial area with a large factory emitting dense white smoke from several chimneys. The factory is surrounded by multiple buildings, roads, and open land. There are also various vehicles and machinery visible around the site. The image is grayscale, adding a dramatic and somewhat somber mood.
An aerial view of an industrial area with a large factory emitting dense white smoke from several chimneys. The factory is surrounded by multiple buildings, roads, and open land. There are also various vehicles and machinery visible around the site. The image is grayscale, adding a dramatic and somewhat somber mood.
Pollution Data

Extracting and annotating emissions for industrial workflows.

Two industrial chimneys release white smoke into the clear blue sky. A wide road with a speed limit sign is in the foreground, accompanied by several wind turbines spread across the landscape. The horizon features a combination of buildings, vegetation, and a few clouds overhead.
Two industrial chimneys release white smoke into the clear blue sky. A wide road with a speed limit sign is in the foreground, accompanied by several wind turbines spread across the landscape. The horizon features a combination of buildings, vegetation, and a few clouds overhead.
The image depicts a construction site featuring machinery and equipment surrounded by metal railings. In the background, an old brick building with rounded towers and several windows is visible. The foreground includes a green machine labeled with a 'HOT 3257' sign and a red cylindrical object. The scene is bathed in natural daylight, casting soft shadows.
The image depicts a construction site featuring machinery and equipment surrounded by metal railings. In the background, an old brick building with rounded towers and several windows is visible. The foreground includes a green machine labeled with a 'HOT 3257' sign and a red cylindrical object. The scene is bathed in natural daylight, casting soft shadows.
A large industrial facility emits substantial amounts of smoke from multiple tall chimneys, set against a hazy sky. In the foreground, a tall metal radio or cell tower rises above a sprawling urban landscape, featuring residential or commercial buildings. The scene conveys a sense of urban-industrial juxtaposition amidst environmental concerns.
A large industrial facility emits substantial amounts of smoke from multiple tall chimneys, set against a hazy sky. In the foreground, a tall metal radio or cell tower rises above a sprawling urban landscape, featuring residential or commercial buildings. The scene conveys a sense of urban-industrial juxtaposition amidst environmental concerns.
Emission Analysis

Identifying high-emission nodes in industrial processes.

woman wearing yellow long-sleeved dress under white clouds and blue sky during daytime

The data-driven insights from CleanProdTech Labs significantly improved our emissions monitoring and operational efficiency.

An industrial facility is producing smoke amidst a scenic landscape featuring rolling hills and dense clouds. The facility is surrounded by greenery with a backdrop of mountains. The sky is overcast, adding to the moody atmosphere.
An industrial facility is producing smoke amidst a scenic landscape featuring rolling hills and dense clouds. The facility is surrounded by greenery with a backdrop of mountains. The sky is overcast, adding to the moody atmosphere.

Their NLP techniques for pollution feature extraction have transformed our understanding of industrial emissions processes.

A large industrial plant with several cylindrical structures and tall smokestacks emitting steam or smoke. The building is surrounded by parked vehicles, including trucks, and is set against a clear sky. The scene feels somewhat desolate, with a concrete path leading to the complex.
A large industrial plant with several cylindrical structures and tall smokestacks emitting steam or smoke. The building is surrounded by parked vehicles, including trucks, and is set against a clear sky. The scene feels somewhat desolate, with a concrete path leading to the complex.
Insights

Building datasets for clean production and emissions.

© 2025. All rights reserved.