DASEN is based on the Internet of Things, guided by technology, and centered on intelligence. Combining cloud computing, big data processing, AI artificial intelligence and other technologies, it has developed the "ecool" (Easy Cold) intelligent cold storage management platform. The platform has functions such as fault warning diagnosis, data query and tracing, big data analysis, system warranty maintenance, and archive management, making the system run more intelligently and operate more conveniently.
Digital energy-saving management service is an integrated service system provided by YiLeng to meet the full cycle energy management needs of industrial and commercial scenarios. It covers energy consumption monitoring, intelligent regulation, and operation and maintenance support, providing efficient collaboration and full process support. With digital technology and professional operation and maintenance teams, it ensures energy efficiency optimization and stable system operation. From energy data collection to intelligent strategy generation, we have launched the YiLeng ECOOL cloud platform and the ZhiLeng AIBOX. With a professional and technical service management team and a comprehensive technical service system, Dasen Refrigeration provides users with the most professional and high-quality refrigeration system hosting services, making them "worry free", "at ease" and "at ease".
1.Digital Operations and Maintenance：
Multi dimensional monitoring system: By integrating DeepSeek model and digital human technology through intelligent large screens, multi-dimensional real-time monitoring is achieved, including configuration monitoring (visualization of equipment operation status), data monitoring (tracking of key parameters), energy consumption monitoring (dynamic analysis of energy consumption), warehouse door monitoring (management of warehouse entry and exit status), and video monitoring (real-time feedback of on-site images)；
Remote control capability: Supports cross regional remote control of devices on mobile/computer devices, breaking space limitations, achieving real-time and flexible management operations, and greatly improving operation and maintenance efficiency.
2.Security Operations：
Relying on AI warning system to achieve pre identification and proactive intervention of refrigeration system risks：
Intelligent liquid level monitoring: AI models analyze real-time liquid level data of refrigeration systems, accurately predict changing trends, issue warnings 48 hours in advance, and prevent large-scale refrigerant leaks；
Compressor fault prediction: Comprehensive monitoring of compressor operation data (pressure/temperature/current parameters, etc.), early warning of fault risks through abnormal trend analysis, synchronous push of alarm information, and reduction of shutdown losses
3. Green Operation and Maintenance：
With energy conservation as the core goal, we promote the green upgrade of the system through algorithm optimization and expert knowledge empowerment：
Intelligent consumption reduction engine: Built in intelligent algorithms track the proportion of energy consumption in each link in real time, identify abnormal energy consumption nodes; Based on AI deep analysis of energy consumption data, automatically generate targeted energy-saving suggestions to assist in precise consumption reduction；
Digital decision-making assistance: integrating industry expert knowledge base, automatically generating energy-saving optimization solutions based on system operation data, and promoting the development of refrigeration systems towards high efficiency and low-carbon direction
