Merely being "green" is no longer enough for enterprises, and "zero carbon" is becoming a new competitive high ground
Release time：2026-04-28 Views：190
In 2026, with the deepening implementation of policies such as the "Guiding Opinions on Carrying out Zero Carbon Factory Construction" issued by the Ministry of Industry and Information Technology, enterprise energy conservation and carbon reduction have shifted from the past "end of pipe treatment" to process control and source design. In this transformation, Jiangsu Lanchuang Intelligent is leveraging its profound AIoT technology accumulation to bridge the gap between "zero carbonization of factories" and "intelligent equipment", providing a replicable green transformation path for high energy consuming enterprises.
Zero Carbon Factory: From Concept to Implementation
This year's policy direction clearly points towards the construction of zero carbon factories. From automobiles and lithium batteries to steel and petrochemicals, building a "zero carbon factory" is not only a policy requirement, but also a key factor for companies to export their products and obtain international "green passports".
In the construction of zero carbon parks, Blue Creation Intelligence has proposed an innovative "1+N" technology system, providing a model for the concrete implementation of "zero carbon factories".
Carbon sentinel - making carbon emissions nowhere to hide
Image: Lanchuang Intelligent Carbon Source Sentinel Accounting Integrated Machine
The first step in building a zero carbon factory is to understand the carbon footprint. The "Carbon Source Sentinel" integrated accounting machine launched by Lanchuang Intelligence has broken through the bottleneck of traditional environmental protection from "concentration monitoring" to "real-time carbon emission accounting".
This system integrates multiple sources of data such as production, energy consumption, and emissions through IoT technology, combined with AI algorithm models. It not only solves the pain point of "not being able to settle accounts" for enterprises, but also simulates different carbon reduction paths in virtual space through digital twin technology, generating optimal carbon reduction strategies for enterprises and truly achieving the combination of "macro accounting" and "micro measurement".
Empowering intelligent decision-making
Lanchuang Intelligence's AI Agent has achieved phased practical results in green and low-carbon intelligent manufacturing. Through the application of artificial intelligence in energy efficiency prediction and intelligent control of production processes, enterprises are no longer passively recording data, but are automatically adjusting the operating parameters of public auxiliary equipment (such as air compressors and fans) by AI agents. This type of "autonomous driving" energy management is the core technical support for achieving refined operation of zero carbon factories.
Image: Lanchuang Intelligence's "Energy Digitalization Management Structure"
Equipment Upgrade - From Single Machine to System Optimization
If a zero carbon factory is the top-level design, then the intelligent upgrade of production equipment is the foundation. Lanchuang Intelligent's full lifecycle carbon reduction solution builds an AIoT based integrated system of "sampling analysis control optimization".
Energy saving benefits - double leap of energy saving and efficiency improvement
According to actual application data, it can help enterprises reduce operational energy consumption by 15% -30% and peak energy consumption by 18% -35%. At the same time, by integrating multidimensional data such as vibration and temperature rise, the system can also predict equipment failure risks, extend equipment life by more than 30%, and truly achieve a dual leap in energy conservation and efficiency improvement.
On the road to a zero carbon future, Lanchuang Intelligence is weaving a data protection network covering factories, equipment, and ecology with technological ingenuity, helping China's manufacturing industry seize the opportunity in green transformation.
