In building automation and energy monitoring systems, sensor accuracy directly impacts data quality and decision-making effectiveness. This article introduces the importance of sensor calibration, common drift causes, calibration methods, and maintenance best practices.

In the smart building industry, traditional operations and maintenance models often resemble "fire brigades"—dealing with issues only after they occur. But the deep integration of AI and IoT is fundamentally rewriting the rules. This article explores how building operations are transitioning from reactive response to proactive prediction through three dimensions: technology evolution, core scenarios, and implementation pathways.

edge computing, multi-function sensor, smart building, building automation, energy monitoring, environmental sensing, IoT sensor

In June 2026, Zhiyinghui showcased its edge computing multi-function sensors, wireless LoRaWAN energy monitoring modules, and intelligent environmental perception platform at the China International Intelligent Building Exhibition.

As China's national carbon trading market gradually expands to include the building sector, building carbon emission monitoring is shifting from optional to mandatory. This article interprets policy trends, analyzes market opportunities, and provides an action guide for smart building professionals.

BMS Selection, Building Management System, Building Automation, System Integration, Protocol Compatibility, Smart Building

HVAC systems typically account for 40%-60% of building energy consumption. This article explores intelligent control strategies based on sensor data, including demand response, air-water coordination, and night purge strategies, with real case data demonstrating energy savings.

In building automation and energy monitoring projects, sensor placement density directly affects data accuracy and project costs. This article analyzes deployment principles across different scenarios to help find the optimal balance.