Technology | CLOUDN GLOBAL

IOT SENSOR DEVICES

These product facilitates indoor environment and energy management by transmitting indoor environmental data measured indoors and real-time energy usage data from a wireless power meter to a cloud server. It analyzes indoor environmental information and external weather data. It goes beyond a simple existing monitoring system, employing real-time big data.

PLANT

Measures Temperature, Humidity, Fine dust, Ultrafine dust, Carbon dioxide, Carbon monoxide, TVOC.
Displays current status using LED colors in 4 levels.
Covers up to 100㎡
Size: 70X140
Weight: 250g
Communication: WIFI

LEAF

Control Air Condition via IR signals
Installation within a 5 to 7 meter air conditioner
Compatible with any air conditioner model or manufacturer.
Size: 80X36
Weight: 70g
Communication: WIFI

TERRA E+

Measures power usage
Calculates power consumption
Wirelessly transmits data
Useage: Power and fire monitoring
Size: 110x110x71
Weight: 220g

DEW

Calculates real-time occupancy based on AI
Integrates occupancy data with indoor environment data for optimal control
Communication method: WIFI

TERRA GW

Collects electricity, gas, water, and peak power data, transmitting them to the cloud server.
Installed on pillars or walls.
Uses: LoRa, gateway
Size: 110x110x170

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REAL-TIME DASHBOARD

Real-time monitoring accessible to anyone
Option available for linking with energy usage data
Use: Indoor environment monitoring
Size: 240x170
Weight: 492g

KEY ALGORITHMS

Machine Learning
(SAGE MAKER)

ITCC Algorithm
(ENERGY OPTIMAL CONTROL)

IECC Algorithm
(INDOOR ENVIRONMENT OPTIMAL CONTROL)

Power Control
(Maximum demand, DR management)

Light dimming
(Dimming control)

FDD Algorithm
(Diagnosis of strange symtoms of equipment)

COMFORT ZONE

Humans generally feel comfortable between temperatures of 22 °C to 27 °C and a relative humidity of 40% to 60%. By maintaining the human comfort zone, buildings can enhance occupant satisfaction, productivity, and well-being while also potentially reducing energy consumption by optimizing HVAC system operation.

STEP 1

Indoor environmental data collection

STEP 2

Comfort Zone calculation

STEP 3

Calculate comfort zone based on occupancy rate

STEP 4

Optimal control