Djinn Sensor - Professional Indoor air quality monitor and analytics platform for office and hospitals

Product Details

New analytics from the air quality monitoring:
Rick of RVT & RVS - risk of respiratory virus transmission and respiratory virus survival.

This product is designed to reduce or prevent the occurrence of a temporary disability of healthcare workers due to poor indoor air quality in hospitals and emerging unfavorable environmental variations (temperature, humidity, noise, light intensity). Indoor air quality monitoring and analytics - you will be informed about poor indoor air quality in your office or hospital, when the conditions are favourable for spreading contagious viral (incl COVID-19 ) and bacterial infections.

Djinn Sensor – multi sensor and cloud service platform of indoor environmental parameters.

The device is ideal for monitoring the parameters of the classroom, store or office, for interaction with other components of the smart ecosystem city and smart building.

Application field:

• Interaction with technological systems

Open platform for management of engineering systems of heating, ventilation, lighting, etc.The Nokia IMPACT, Huawei OceanConnect, AWS platforms and IFTTT service allow Djinn sensor to interact with other applications, devices and technology systems

• Detection of critical parameters for disease prevention

Registered environmental parameters are current data: the level of illumination, the pulsation coefficient of light sources, the noise level and vibration characteristics, dust PM 1.0 & 2.5 & 10, temperature, humidity, pressure, and CO2 concentration, control of volatile organic compounds (VOCs)

The original mathematical models developed on the basis of international methods allow predicting the risks of diseases: sight, hearing and respiratory organs, cardiovascular system, allergic diseases and asthma, cancers

• Analytics for human comfort and productivity

Environmental parameters have a significant impact on the processes of mental activity and physical activity indoors.

Impacts are immediate and accumulative,with direct and correlated dependencies.

The original mathematical models developed on the basis of international studies allow you to track changes in human functions: cognitive, communicative, decision-making, etc., and also to forecast the risks of productivity and changes in productivity.

Basic components:

• SIMCom SIM7000E (GSM and NB-IoT), SIM7020E (NB-IoT) Semtech SX1276 (LoRa)

• Wi-Fi: 802.11 b / g / N

• Bluetooth: v4.2 BR/EDR and BLE

• 32-Bit (ESP32) microcontroller

• Mono solar elements with high productivity

• Sensors: Bosch, Texas Insruments, Telaire, Plantower, AD

• 6000 mA Li-Pol battery

Sensors included:

• CO2 (Telaire T6703

• TVOC (BOSCH BME 680)

• PM1.0 (Plantover PMS7003/G7)

• PM2.5 (Plantover PMS7003/G7)

• PM5.0 (Plantover PMS7003/G7)

• PM10 (Plantover PMS7003/G7)

• Temperature (BOSCH BME680)

• Pressure (BOSCH BME680)

• Humidity (BOSCH BME680)

• Light (TI OPT3001)

• Noise (AD DMP401)

• O3* (Winsen ZE25-O3)

• HCHO* (Winsen ZE08-CH2O)

• CO* (Winsen ZE07-CO) + Buzzer

*Optional

Additional components:

• 400x300, 4.2inch E-Ink display (optional)

Specifications:

• Operating voltage: 3.3V~5V

• Display size: 84.8mm × 63.6mm

• Dot pitch: 0.212 × 0.212

• Resolution: 400 × 300

• Display color: black, white

• Grey level: 2

• Full refresh time: 4s

• Refresh power: 26.4mW(typ.)

• Standby power: <0.017mW

• Viewing angle: >170°
  
  

Learn more about smart way to control spreading of viruses at offices and hospitals

https://djinnsensor.com/Avicenna_Medical.pdf