Disinfection with ultraviolet rays is an effective way to destroy microorganisms including bacteria, viruses, mold spores, acting on the DNA-RNA of microorganisms by irradiating with the appropriate wavelength of UV-C ultraviolet rays leads to cell death, after a correct exposure to the rays it is reached a mortality level of virus bacteria and spores higher than 99.9%.
These destroy the DNA molecular bonds of microorganisms, producing thymine dimers in their DNA and destroying them, rendering them harmless or impeding their growth and reproduction.
The ignition times are variable according to the power of the lamp compared to the surface to be irradiated. The dosage is measured in microwatts per second per square centimeter: µW / cm2. Dosages from 2 to 8 µW / cm2 kill 99.9% of spore virus bacteria.
When the lamp is turned on in the room, there must be no human presence, animals and plants, the sterilization cycles normally last 15-30-60 minutes or more for large rooms greater than 150 m2, the cycles are regulated by a timer or by a remote control depending on the model.
Intelligent germicidal UV-C robot power 288 W, suitable for the sterilization of rooms in a completely automatic way suitable for use in hotels, schools, apartments, shops, hospitals and offices. It has a lamp life greater than 8000 hours. Net weight of 43 kg. Projected on the area to be disinfected at 360, it eliminates the bacterial load deposited on the surfaces.
Lamp model: NLUVROB288
Lamp power: 288W
UV wavelength: UV-C 253.7nm
Display: 7 “IPS screen
Camera: 5 mega pixels
Operating system: Android 5.1 / MB RK3128
Navigation motherboard: Intel Core i5
WIFI: dual frequency 2.4G + 5.8G
Lamp power and number: 36/8
Charging adapter: 42V 3A
Battery capacity: 37V – 20.8Ah
Battery life:> 6 hours
Lamp life:> 800 hours
Lamp size: 540 * 360 * 1500mm
Movement speed: 0.2 – 1.2 m / s
Equipment: VSLAM + Laser SLAM
Remote control, customized working hours,
automatic disinfection at the specified time,
Autonomous route planning,
real-time data monitoring
Presence detection radar