What hardware does the heat stroke prevention system include?

The heat stroke prevention system combines three types of hardware: a Wet Bulb Globe Temperature (WBGT) environmental sensor installed on-site, the DasSenseH wearable vital-sign sensor worn by each worker (available as a clip-on or wristband), and the DasLoop smart safety helmet with a built-in speaker for voice alerts. These hardware components feed real-time data into the DasIoT cloud platform for AI analysis.

How does the heat stroke prevention solution work?

The heat stroke prevention solution works in three stages. First, the on-site WBGT sensor and DasSenseH wearables continuously collect environmental and physiological data. Second, an AI algorithm co-developed with Hong Kong Polytechnic University calculates each worker's personal heat stroke risk index. Third, when risk thresholds are crossed, the system triggers a voice alert through the worker's helmet speaker and sends a push notification to supervisors' phones — all in real time.

What is WBGT and why does it matter for heat stroke prevention?

Wet Bulb Globe Temperature (WBGT) is the international standard for measuring heat stress. Unlike air temperature alone, WBGT accounts for humidity, radiant heat, and wind speed — all factors that determine how quickly a worker's body overheats. The heat stroke prevention hardware uses a calibrated WBGT sensor placed directly on-site, so risk calculations reflect actual working conditions rather than distant weather-station data.

Can the heat stroke solution be deployed on any construction site?

Yes. All heat stroke prevention hardware is wireless and battery-powered, requiring no fixed cabling or dedicated internet infrastructure on site. The sensors communicate over a private mesh network and sync data to the DasIoT cloud platform when connectivity is available, making the heat stroke solution practical for large outdoor sites, underground works, and remote locations.

How does AI improve heat stroke risk prediction for individual workers?

The AI algorithm combines environmental data (WBGT) with each worker's physiological readings (body temperature, heart rate, movement) and personal health profile (age, chronic conditions, smoking and drinking habits) stored in DasIoT. This produces a personalised heat stroke risk score rather than a generic site-wide advisory, enabling targeted alerts only for workers who are actually at risk.

AI 驅動硬體與建築工地風險監測

熱傷害預防解決方案

建築工地工人在高溫潮濕環境下面臨嚴重的熱傷害風險。BeeInventor 的熱傷害預防解決方案整合了三類專屬硬體設備——WBGT 環境感測器、DasSenseH 穿戴式生理監測器與 DasLoop 智能安全帽——並結合與香港理工大學共同研發的 AI 演算法，在熱傷害發生前即時為每位工人提供個人化預警。

綜合溫度熱指數(WBGT)偵測器

WBGT

環境溫度, 濕度的測量