Juchen Technology - Industrial Cloud Computing & AI Integrated Solutions Provider

Client Cases They chose Juchen

China Aluminum Group Sichuan Liangshan Copper Industry

Customer Introduction


Liangshan Copper Industry Co., Ltd. is a non-ferrous metal smelting enterprise established in 2025. The company is positioned in non-ferrous metal smelting, metal material sales and other businesses, involving the manufacturing of metallurgical special equipment, engineering research and technical services. The company is responsible for the construction of a 125000 ton/year copper refining project, which is listed as a key project in Sichuan Province and Liangshan Prefecture in 2024; Industrial Strong State "; Strategic Project No.1.




Facing challenges


The data security risk is high: core production data is stored locally, lacking encryption and backup mechanisms, which can easily lead to data loss due to virus attacks and hardware failures; There is no security control for cross departmental data exchange, which poses a risk of leakage. 

The operation and maintenance management of is inefficient and complex: terminal devices require independent maintenance, and the large number of devices leads to delayed fault response and cumbersome operation and maintenance processes, directly affecting production progress.

Data is scattered without unified control: Production and business data are stored in a decentralized manner, lacking a centralized management platform, and data is easily damaged or leaked, making it difficult to support efficient production decisions.



The solution


introduces the Juchen Industrial Super Fusion Solution and builds the infrastructure with the Xinchuang Server as the core: by realizing full virtualization of IT resources, building a unified data storage and control platform, encrypting core production data and backing up multiple copies, while standardizing cross departmental data exchange permissions, it solves the risks of data dispersion, loss, and leakage from the root; In addition, the solution also supports compatibility with lower version operating systems, ensuring seamless adaptation with existing systems and avoiding any impact on production during the transformation process. On this basis, the solution focuses on hosting a highly available database cluster, relying on hyper converged redundant error tolerance capabilities. When any server crashes, it can achieve seamless automatic switching, ensuring efficient processing and retrieval of daily production data and providing real-time data support for process optimization; Simultaneously building a unified operation and maintenance control platform, integrating the operation and maintenance needs of all terminal devices and systems, monitoring the real-time operation status of equipment, significantly improving the efficiency of fault response and disposal, and solving the problem of traditional operation and maintenance being scattered and inefficient.



Customer Revenue


Comprehensive Data Security Protection: Business Backup+Unified Control, Thoroughly Avoiding Data Loss and Leakage Risks, Building a Strong Defense Line for Production Data Security. 

The operation and maintenance efficiency of has significantly improved: unified operation and maintenance platform reduces infrastructure complexity, reduces manual operation and maintenance costs, and greatly accelerates fault response and disposal speed.

Continuous and stable production operation: High availability protection mechanism ensures uninterrupted operation of core systems such as process monitoring and energy management, meeting the uninterrupted production needs of the smelting industry.

Supports digital intelligence upgrade: provides efficient computing power and storage support, adapts to industrial Internet platform and other applications, realizes real-time analysis and decision optimization of production data, helps reduce energy consumption and green production, and supports flexible expansion after business growth, reserving space for digital expansion.


Relevant cases

View more

+