As the annual National Ecology Day arrives, the green and low-carbon transformation of the real economy has taken center stage. With the ongoing advancement of carbon peak and carbon neutrality goals, the carbon market continues to expand its coverage, intensifying the urgency for green upgrades across all industries. Systematic low-carbon transformation has become an irreversible trend.

Policy support at the top level continues to strengthen, with the State Council recently issuing the "15th Five-Year Plan for Building a Beautiful China," which outlines key tasks including "promoting comprehensive green transformation of economic and social development, implementing energy conservation and carbon reduction retrofits in key industries, and accelerating the formation of green production and lifestyle models." Responding to the green development needs of various industries, 智能 (formerly known as Asia Vets) leverages its deep roots in industrial scenarios, using intelligent capabilities to break through carbon reduction bottlenecks. The company has implemented multi-industry practices including precise energy reduction in manufacturing plants, collaborative carbon reduction in industrial parks, and green resource recycling in modern agriculture, forming a replicable and actionable intelligent integrated low-carbon solution that drives dual breakthroughs in ecological quality improvement and efficiency enhancement for the real economy.

Precision Measurement of Every Unit of Energy Consumption Creates an Intelligent Engine for Factory Green Transformation

Manufacturing is the primary arena for energy conservation and carbon reduction. Industries such as steel, chemicals, building materials, printing and dyeing, and textiles, which are characterized by high energy consumption and high carbon emissions, have strong reliance on traditional process routes, making deep decarbonization difficult in the short term. Taking the printing and dyeing textile industry as an example, crude energy usage patterns not only consume excessive energy but also tend to cause product defects, consistently affecting energy utilization rates and production efficiency. Combined with increasingly stringent carbon reduction requirements, pressure for green upgrades in the industry continues to mount.

智能 has moved beyond the conventional approach of single-equipment upgrades, adopting a dual strategy of "equipment upgrading plus digital-intelligent control" to optimize factory energy structures, reducing carbon emissions throughout the entire production process from the source. In the Langxi Yuanhua Textile project, 智能 installed natural gas direct-fired equipment on dyeing vats, enabling on-site heating of dye liquor and significantly reducing heat losses from long-distance pipeline transmission. Simultaneously, an intelligent predictive temperature control system was deployed to dynamically adjust operating parameters based on production conditions. After the upgrade, process matching accuracy exceeded 99%, the first-pass yield rate improved by 5%, further reducing energy losses from rework, and carbon emissions decreased by 240,000 tonnes, fully unlocking the low-carbon production potential of the equipment.

With this standardized intelligent transformation system, 智能 helps industries such as textiles and dyeing achieve dual benefits of energy conservation and green development. Multiple projects have already adopted 智能's solutions, and after completion, corporate carbon emissions have significantly declined with outstanding energy-saving results in production processes, effectively resolving the common challenges of "difficult energy savings, slow quality improvement, and weak carbon reduction" in manufacturing plants. This creates a replicable intelligent green development model for the manufacturing sector.

Building an Energy Foundation for Industrial Parks to Unleash the Green Development Potential of Industrial Clusters

As the core carrier for the agglomeration of the real economy and the upgrading of manufacturing quality and capacity, industrial parks are also the main battlefield for energy conservation and carbon reduction. While factory-level energy savings represent point-based breakthroughs in industrial carbon reduction, comprehensive green upgrades across entire parks place higher demands on regional resource coordination and collaborative utilization capabilities. Most comprehensive industrial parks bring together diverse business sectors such as textiles, pharmaceuticals, and light manufacturing, where various energy systems for cooling, heating, electricity, and gas operate independently without interconnection, forming "energy islands" with fragmented resources. This leads to imbalances in energy supply-demand matching and peak-valley load allocation, making it difficult to leverage the advantages of large-scale carbon reduction through clustering.

Addressing the need for collaborative carbon reduction across industrial clusters, 智能 leverages digital-intelligent technologies to break down resource barriers between different business sectors within parks, integrating energy and waste resources across the entire region. The company promotes cross-enterprise, cross-industry resource complementarity and closed-loop reuse, maximizing the comprehensive resource utilization rate of parks and releasing the scaled carbon reduction value of industrial clusters.

Park practices such as the Linping Economic Development Zone have fully validated the feasibility and effectiveness of this model. 智能 delivers treated reclaimed water from pharmaceutical enterprises to textile companies for reuse, while also purifying organic waste gases generated by park enterprises and converting them into boiler fuel for reuse within the park. After project implementation, Linping achieved a total regional carbon reduction of 138,400 tonnes, demonstrating solid results in green transformation. 智能 focuses on scaled carbon reduction for industrial clusters, elevating fragmented corporate energy-saving efforts into systematic, park-wide green transformation initiatives, effectively unlocking the carbon reduction potential of industrial clusters and providing a proven, actionable pathway for industrial parks nationwide to carry out scaled emission reductions and coordinate green development.

Activating Circular Resources with Intelligent Energy Infrastructure to Create a Model for Modern Agriculture Green Upgrades

Modern agriculture faces demands for ecological quality improvement, energy conservation, and carbon reduction. High energy consumption and insufficient waste resource utilization rates remain primary obstacles, wasting renewable resources while creating environmental pressure. Combining the agricultural characteristics of integrated crop cultivation and livestock farming, 智能 leverages digital-intelligent capabilities to optimize energy structures, replacing traditional fossil fuels with biomass energy, forming a dual-benefit green pathway of "pollution treatment plus energy income generation."

This circular development approach has been validated in large-scale livestock farming scenarios. At the Ruzhou Muyuan Pig Breeding Base, 智能 deeply integrates digital-intelligent technologies with industrial scenarios, innovatively adopting a technical solution combining "chelated iron desulfurization plus pressure swing adsorption decarbonization." The system processes 600 cubic meters of biogas generated from farming operations per hour, converting what was once an environmental compliance burden into a stable source of green gas revenue. Through dedicated pipelines connected to the gas network, annual gas supply reaches 1.56 million cubic meters.

This model has been extended to more modern agricultural enterprises, with similar projects in Henan processing nearly 18 million cubic meters of biogas annually. This not only significantly reduces fossil fuel consumption but also fully unleashes the potential of biomass energy, driving agriculture's transition from traditional extensive production to a circular, low-carbon, ecologically efficient model.

From Precision Energy Reduction in Factories, Cluster Carbon Reduction in Industrial Parks, to Agricultural Resource Recycling

These three major scenarios represent vivid examples of 智能's low-carbon practices and its contribution to the green transformation of the real economy. With over three decades of deep engagement in the real economy, 智能 continuously transforms frontline industrial insights into reusable intelligent capabilities, embedding green and intelligent genes into the capillaries of all industries. Leveraging its ubiquitous energy concept, the company helped clients reduce standard coal consumption by 3.02 million tonnes and cut carbon emissions by 12.1 million tonnes cumulatively in 2025. Looking ahead, 智能 will continue to iterate its intelligent technologies and service models, injecting solid momentum into the green and high-quality development of the economy and society and the construction of a Beautiful China.