By integrating ten systems and eight business modules, the factory has realized the acquisition of data from the
networking of production equipment to the automatic collection and real-time monitoring of data in the whole
process; from paperless optimization of production entry process to transparency and traceability of production
process; from efficient analysis and mining of data to scientific and refined processing of production management
data. All information is gathered in the "digital factory cockpit" to form a sophisticated data network, so that
production can achieve the best output and quality within a controllable range. Data dashboard, order flow, product
traceability, paperless process, monitoring error reporting... The traditional independent information flow mode has
been replaced by these information means, and efficient operation is achieved in unmanned smart factories. The
information processing of the AD smart factory is not only applied to production management, but also realizes
the intelligent scheduling of energy. The factory monitors the energy consumption and production of the factory
and workshop in real time 24 hours a day. Energy data such as water, electricity, gas, and photovoltaic power
generation are accurately collected and tested, and energy consumption analysis and optimization, energy balance
scheduling are carried out based on this, to achieve refined energy management of the entire manufacturing process.
Since being selected as one of the first batch of "machine replacement demonstration enterprises" in Zhejiang Province
in 2014, and being awarded the title of "Zhejiang Province Smart Factory" in 2024, Gongyuan has actively responded
to the "Made in China 2025" strategy, and continued to promote projects such as "integration of industrialization and
informationization" and "unmanned factory", and will continue to focus on "digital intelligence empowerment and
green leadership" to help build a new pattern of transformation and upgrading of the manufacturing industry with
"intelligence to improve quality".