1. Industry Pain Points· Salt corrosion, harsh environments, difficult maintenance· Oil emulsification, metal wear debris, short component life. 2. Core Solutions 3. Core Products: · FYH Series Integrated Online Fluid Monitoring Cloud Box (Viscosity/Moisture/Mechanical Impurities/Acid Number integrated). · Online Particle Sensor: Real-time warning for gearbox abnormal wear. · Portable Fluid Analysis Kit.
READ MORE1. Industry Pain PointsLimited operating space, high safety risksStrict fluid cleanliness requirements (NAS/SAE Class 6+) for hydraulic systems and aero-enginesParticles/moisture cause system failures.
READ MORE1. Industry Pain Point Traditional fluid monitoring data is isolated, unable to support predictive maintenance decisions. 2. Hangfeng Smart Ecosystem Solution Beijing Hangfeng has built an integrated hardware-software closed-loop solution in the field of smart O&M and lubrication management. Through multi-parameter sensing, edge intelligence, and industrial AI algorithms, it enables synergistic monitoring of equipment health and lubricant performance, facilitating proactive maintenance. The core of the solution lies in integrating fluid data into full equipment lifecycle management, overcoming the traditional O&M pain point of "mechanical monitoring being separated from lubrication management."
READ MORE1.Industry Pain Points · Severe dust pollution; High equipment impact loads. · Rapid fluid degradation; High cost of downtime. · Traditional lab testing is slow, unable to provide timely feedback on equipment operation and lubrication status. 2. Hangfeng Solution: Beijing Hangfeng (Hangfeng) addresses the harsh operating conditions of the mining industry (high dust, high vibration, continuous equipment operation) with its Smart Health Monitoring and Predictive Maintenance Solution for Mining Equipment. Deeply integrating edge computing, multi-parameter sensing, and industrial AI technologies, it provides full lifecycle management support for mining, mineral processing, and transportation processes.
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