Based on machine learning algorithms and models to analyze and evaluate the health status of equipment to achieve predictive maintenance.
According to the comparative analysis of the fault diagnosis model of the knowledge base, the reasonable maintenance and fault diagnosis solutions are pushed to the equipment operation and maintenance personnel.
Integrated Logistics Support,ILS,Improve corporate operation and maintenance capabilities.
Based on modular and component-based development, it supports user customization on demand and adapts to various work scenarios.
Driven by knowledge, focus on the accumulation and inheritance of knowledge, and build and improve the enterprise knowledge base step by step.
PC+APP+WeChat applet provides users with the best cross-platform service experience, and provides AR/VR and other smart device interaction methods.
Choose public cloud or private cloud mode according to customer needs, customers reduce the required IT resources, pay on demand, and save user costs.
The system interface is open and supports secondary development.
Zhongshunyun's visual wind control large screen is an online digital twin visual application platform for special equipment, making equipment management easier
Equipment management system based on Internet of Things and digital twin technology, convenient and effective to realize asset management
A powerful means to ensure the quality of special equipment and avoid major accidents
Ensure that the technical condition of machinery and equipment meets the requirements for use
By installing IoT equipment on the forklift, it has the basic functions of forklift operation legitimacy verification, early warning and prompt, or real-time positioning, safety education and other extended functions at the same time
The smart pipeline system uses integrated system integration technologies such as the Internet of Things, modern sensing technology, cloud computing, computer communication technology, virtual reality, artificial intelligence, etc., to perform
The crane safety monitoring and management system is composed of sensors, signal collectors, control actuators, display instruments, monitoring systems, etc., which integrates functions such as display, control, alarm, and video monitoring.
The special equipment risk rating system is based on digital twin technology, taking a large amount of basic equipment data, and giving risk grading results based on scientific AI algorithms
Covered city
Completed the development of Zhongshunyun software interactive interface
Average response time in the cloud
Beijing head office address：Yard 4, Yingkun Road, Yinghai Town, Beijing Economic and Technological Development Zone (Daxing), Beijing
TEL：010-56370518
Tianjin Branch Address：
TEL：
Wuxi branch address：
TEL：
Ningbo branch address：
TEL：
Suzhou branch address：D-1F-101, Building 2, No. 345, Fengli Street, Suzhou Industrial Park, Jiangsu Province
TEL：0512-57890818
Beijing head office address：Yard 4, Yingkun Road, Yinghai Town, Beijing Economic and Technological Development Zone (Daxing), Beijing
TEL：010-56370518
Suzhou branch address：D-1F-101, Building 2, No. 345, Fengli Street, Suzhou Industrial Park, Jiangsu Province
TEL：0512-57890818
Brings together many special equipment industries,Platform's Solution Center
Quickly contact online experts to solve your doubts in seconds
Submit a request and we will contact you immediately
Contact the Zhongshunyun expert team immediately to customize the solution for you
010-56370518
Address: No. 4 Yard, Yingkun Road, Yinghai Town, Beijing Economic and Technological Development Zone (Daxing), Beijing
Email：zhongshunyun2021@163.com
173453*** Zhongshunyun (Beijing) Computing Technology Co., Ltd.
