In the field of environmental monitoring, combining multiple data streams to present a comprehensive overview of site conditions is essential. By culminating data into a unified data display on the Ecostat portal dashboard, we are able
to integrate wind speed data with heat stress measurements from a Questemp44 heat stress monitor
System Overview
The integration setup involves a custom Python script running on a RUT956 modem. This fetches data from a Questemp44 heat stress monitor and an Arduino board for wind speed measurement, which is equipped with an Ethernet shield for the data transfer.
The Components
- Questemp44 Heat Stress Monitor: This device measures various parameters related to heat stress, such as temperature, humidity and radiant heat.
- 010C Anemometer: The windspeed using pulses that are generated by the rotation of the main shaft, which is caused by gusts of wind.
- RUT956 Modem: Connected to the Questemp44 via an RS-232 serial cable, the modem runs a Python script that retrieves data from the heat stress monitor.
- Questemp44 Heat Stress Monitor: This device measures various parameters related to heat stress, such as temperature, humidity and radiant heat.
- Questemp44 Heat Stress Monitor: This device measures various parameters related to heat stress, such as temperature, humidity and radiant heat.
Data Collection and Integration Process
- Questemp44 Heat Stress Monitor: This device measures various parameters related to heat stress, such as temperature, humidity and radiant heat.
- Data Retrieval from Questemp44: The Python script on the RUT956 modem sends commands to the Questemp44 to retrieve heat stress data. This data is then transmitted over the network.
- Wind Speed Measurement: The Arduino, connected to the 010C wind speed sensor, sets up an interrupt process on a digital input pin to count pulses generated by the sensor. These pulses are counted per second, and the wind speed is calculated using a set formula.
- Data Request and Combination: The RUT956 modem sends an HTTP request to the Arduino server to fetch the average wind speed. The Python script on the modem then combines the heat stress data and the wind speed into a single data string.
- Data Transmission to Ecostat Portal: The combined data string is sent to the Ecostat server, where it is parsed and displayed on the portal dashboard for the designated site.
By integrating wind speed data from the 010C Anemometer with heat stress measurements from the Questemp44, the Ecostat portal provides a comprehensive view of environmental conditions. This setup enhances monitoring capabilities, ensuring better-informed decisions for site safety and efficiency. The combination of multiple data streams into a unified display allows for more accurate and timely responses to changing environmental conditions, ultimately contributing to improved workplace safety and operational effectiveness. Contact us today to see how we can integrate your environmental monitoring equipment into our portal.