Wind and power plant monitoring software for operations optimization
Xinjiang Xinfeng Xinenergy is an engineering-focused team building monitoring and optimization tools for renewable and grid infrastructure. The stack—IGBT controllers, industrial protocols (Modbus, IEC 61850), Oracle/MySQL backends, and a modern web layer (React, D3.js, Three.js)—reveals a company bridging hardware telemetry with data visualization and analytics. Active projects span turbine performance, storage systems, and grid maintenance, while pain points cluster around downtime reduction and real-time anomaly detection, suggesting the product is moving toward predictive maintenance.
Xinjiang Xinfeng Xinenergy develops software for wind turbine and power plant operations, based in Urumqi. Their platform integrates industrial control hardware (IGBT, Modbus, IEC 61850 protocols) with cloud-backed analytics to monitor asset performance, plan maintenance, and optimize operational efficiency. The product surfaces performance data and maintenance recommendations through web dashboards. The engineering-heavy org (34 of 42 headcount in engineering, mostly junior and mid-level) reflects product maturity and infrastructure complexity; minimal recent hiring suggests a lean, stable operational phase.
Industrial hardware integration (IGBT, Modbus, IEC 61850), Oracle and MySQL databases, Python and Spring Boot backends, and React with D3.js and Three.js for web visualization and real-time dashboards.
Urumqi, Xinjiang Uygur Autonomous Region, China. They also hire in the Netherlands.
Wind turbine performance optimization, energy storage testing, power plant installation and commissioning, predictive maintenance planning, grid impact analysis, and real-time anomaly detection for operational safety.
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