新会员 | 振国熵度累计服务3+GWh电站客户，提供电池系统健康和安全监控

Core Viewpoint - Recently, Zhiguo Entropy has officially become a member of the Zhongguancun Energy Storage Industry Technology Alliance, indicating its commitment to the energy storage sector and collaboration with industry peers [2][6]. Company Introduction - Zhiguo Entropy focuses on health monitoring of key system equipment in the renewable energy sector (wind, solar, storage, nuclear), providing proactive safety warnings, data analysis, performance management, and digital operation consulting to enhance asset value and reduce risks [4]. - The company has provided battery system health monitoring and optimization services to over 3 GWh of power station clients [4]. Product Overview - The company offers the Bi-Metrics battery system predictive analysis platform, which emphasizes multi-level data transparency for comprehensive monitoring of battery health [11]. - Bi-Metrics utilizes big data technology to collect and process critical information such as individual cell voltage and temperature, enabling early safety warnings, health monitoring, and lifespan predictions [13]. Key Features of Bi-Metrics 1. Early Safety Warnings: Utilizes artificial intuition algorithms for real-time data analysis, enhancing overall assessment of energy storage system status and identifying potential risks [14]. 2. Safety Monitoring Analysis: Conducts statistical analysis of battery management system (BMS) alarms to identify safety risks and improve operational efficiency [16]. 3. Health Monitoring Analysis: Monitors key indicators related to battery health, supporting predictive maintenance strategies to reduce unplanned downtime [19]. 4. Lifespan Prediction: Considers various factors affecting battery aging, providing insights for optimizing charging and discharging strategies [22]. Value Proposition of Bi-Metrics - Risk Reduction: Integrates multi-dimensional indicators for comprehensive safety assessments [25]. - Efficiency Improvement: Reduces unplanned downtime and maintenance time by 75%, enabling predictive maintenance [25]. - Cost Reduction: Decreases operational personnel by 20% and promotes compliance to avoid warranty issues [25]. - Lifespan Extension: Supports operational strategy optimization through multi-dimensional data [26].