Lazzen Hangzhou Bay Super‑Factory Named 2026 National Excellent‑Level Smart Factory
Recently, the list of Excellent‑Level Smart Factory projects for 2026, jointly released by the Ministry of Industry and Information Technology and five other government departments, has been officially published. The Lazzen Hangzhou Bay Super‑Factory is on the list and has been certified as a National Excellent‑Level Smart Factory. This latest authoritative accreditation follows its previous honors including Zhejiang Provincial “Future Factory” and National Green Factory titles.
This recognition fully validates Lazzen Electric’s systematic capabilities in technology‑driven innovation and leveraging digital technologies to advance high‑end manufacturing.
Advancing Intelligent Manufacturing: Building an Industry‑Benchmark Facility
As the core hub for Lazzen Electric’s advanced manufacturing, the Hangzhou Bay Super‑Factory has adopted high‑standard digital and automated construction since its completion. It has built digital infrastructure and core IoT systems covering the full production workflow, enabling interconnected equipment, seamless data flow and transparent end‑to‑end production management.
Going further in intelligent transformation, the super‑factory has established an AI‑native manufacturing system built around the framework of “Data‑Model‑Intelligent Agent”, shifting manufacturing capability from automated production toward AI‑empowered intelligent decision‑making. Driven by both general large‑scale models and industry‑specific specialized models, AI technologies are deeply embedded in core manufacturing scenarios including quality inspection, process optimization and energy consumption control. Key technical processes such as weld quality assessment, high‑precision visual inspection and delay‑parameter commissioning have achieved intelligent upgrades.
Benefiting from intelligent upgrades and flexible, agile production‑line layouts, the super‑factory boasts enhanced manufacturing resilience and delivery performance. It efficiently addresses customized demands from new‑energy, computing‑power and nuclear‑power sectors, and enables full‑process data interconnection and efficient collaboration spanning design, production and supply‑chain links.
Integrating Smart Manufacturing with Green Development: Pursuing Zero‑Carbon Manufacturing
While pushing forward intelligent transformation, Lazzen Electric pursues coordinated development of “smart manufacturing and low‑carbon sustainability”. Drawing on its technical strengths in intelligent power distribution and energy management, it has built a zero‑carbon demonstration park featuring the “Photovoltaic‑Energy Storage‑Direct Current‑Flexible Interaction” integrated system.
Integrated with distributed photovoltaic power generation, electrochemical energy storage, smart charging piles and a smart energy‑management system, the park applies Lazzen Electric’s self‑developed PX Power Distribution Expert System and MX Micro‑grid Expert System for intelligent scheduling and efficient utilization of energy. It achieves an annual carbon‑reduction of around 3,800 tons and runs on 100 % green electricity. Thanks to its systematic decarbonization practices, the Hangzhou Bay Super‑Factory has obtained Five‑Star Zero‑Carbon Factory certification and the title of Zhejiang Provincial Low‑Carbon Green Factory. It has also been selected as a demonstration project under the 14th Five‑Year National Key R&D Program, delivering replicable and verifiable practical models for zero‑carbon transformation across the manufacturing industry.
Moving forward, based on its “Data‑Model‑Intelligent Agent” AI‑native manufacturing architecture, Lazzen Electric will keep advancing along four key directions: upgrading AI intelligent agents, deepening smart‑manufacturing deployment, enabling data‑driven intelligent decision‑making and advancing green low‑carbon growth. It will leverage its outstanding intelligent‑manufacturing strengths to drive industrial upgrading and contribute to the development of new‑style industrialization.
