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Multi-Point Omnidirectional Wind Speed Sensor Array Empowers Indoor Airflow Field Measurement and HVAC Performance Optimization
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Multi-Point Omnidirectional Wind Speed Sensor Array Empowers Indoor Airflow Field Measurement and HVAC Performance Optimization

2025-12-26

Wind speed sensor and turbulence level, as key parameters of indoor airflow, significantly influence occupants' thermal comfort. In neutral-to-warm air-conditioning systems operating in cooling mode, appropriately increasing either wind speed or turbulence level can offset the effects of rising temperatures. However, excessively high wind speeds or turbulence levels can cause draft discomfort. This indicates that wind speed and turbulence, as key indicators of airflow organization, have limited effectiveness in improving thermal comfort. Within these limits, appropriately increasing their levels can positively impact human thermal comfort. Such improvement measures can significantly reduce air conditioning equipment energy consumption. For occupant health, dynamically changing indoor temperatures are more beneficial than a constant, steady-state indoor temperature, both for health and thermal comfort. Additionally, moderate cold stimulation in neutral-to-cool environments can maintain higher work efficiency. Thus, better control of airflow parameters to ensure thermal comfort not only reduces HVAC energy consumption but also allows flexibility in adjusting indoor temperatures for enhanced occupant health.

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Advantages of Multi-Point Wind Speed Matrix Measurement

Traditional single-point wind speed measurement yields incomplete data, making it difficult to accurately capture airflow distribution patterns and limiting HVAC performance optimization. The application of multi-point omnidirectional wind speed sensor matrices provides an innovative solution for precise airflow field measurement and enhanced HVAC performance.

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Wind Speed Probe Used: JT1402 Omnidirectional Wind Speed Sensor


Wind Speed Range: 0-20 m/s (customizable to 0-30 m/s)

Wind Speed Accuracy:0.05-2.0 m/s: ±(0.05 m/s + 2% of reading)
>2.0 m/s: ±(0.1 m/s ± 2% of reading)

Wind Speed Resolution: 0.01 m/s

Response Time: 0.2 s (t63, 1 m/s wind speed, 25°C)

Wind Temperature Range: -25–70°C

Wind Temperature Accuracy: ±1°C (<1 m/s); ±0.5°C (>1 m/s)

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Measuring Three-Dimensional Airflow Distribution

The core of this solution lies in the array layout of omnidirectional wind speed sensors. Based on the dimensions of the indoor space and airflow characteristics, multiple sensor nodes are deployed in key activity zones to form a three-dimensional monitoring matrix. Omnidirectional sensors capture wind speeds at 360°, precisely collecting velocity, direction, and turbulence intensity data across diverse locations to eliminate measurement blind spots inherent in traditional unidirectional sensors. The matrix layout integrates multi-point spatial data to construct a comprehensive 3D airflow distribution model, visually highlighting critical features such as stagnation zones and velocity transition areas.

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Optimizing Air Conditioning Operation and Performance

Sensor matrix data delivers precise empowerment for air conditioning performance optimization. For airflow organization optimization, analyzing matrix-monitored airflow distribution data enables adjustments to air outlet angles, fan speed settings, or the addition of air deflectors. This eliminates indoor airflow dead zones and enhances temperature uniformity. Following matrix-data-driven optimization, indoor temperature differentials show significant reduction.

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Compared to traditional measurement methods, multi-point matrix air velocity measurement offers advantages in data integrity and real-time capability. Combined with AI algorithms for deep analysis of matrix data, it enables adaptive optimization of air conditioning operating parameters, further advancing indoor environmental control toward intelligent and energy-efficient upgrades.

Translated with DeepL.com (free version)