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PVRT-12342

Product Dimensions (mm): D495*W520*H1265
Packaging Size (WxDxH mm): D530*W550*H1300
N.W./G.W.: 32.5kg / 36.5kg
Compressor: Cubigel/Huayi
Refrigerant: R134a
Set Temperature Range: -18°C,+2°C ~+12°C
Foaming agent: C5H10/C-Pentane
Ambient Temperature Range: 50°C
Battery voltage: DC 12V / 24V
Rated power: 60W
Loading Quantity (pcs; 20ft/40ft/40HQ): 44/176/176
Contact us: 400-000-00xx
Product features and specifications

I. Program Overview

The Internet of Things (IoT) solution aims to closely integrate the physical world with the digital world by means of sensors, communication technologies and data analytics, providing more efficient, convenient and intelligent services for enterprises and individuals. The solution covers the whole process from device connection, data collection to data analysis and application development, and can meet the needs of different industries and fields.

II. Core Technology

1.Sensor Technology

Sensors are the foundation of IoT solutions, capable of sensing various parameters in the physical environment in real time, such as temperature, humidity, pressure, light and so on.

Different types of sensors can meet different application requirements, such as temperature sensors for environmental monitoring and industrial control, acceleration sensors for motion detection and equipment status monitoring.

2.Communication Technology

IoT devices require communication technologies to transfer data with the cloud or other devices. Common communication technologies include Wi-Fi, Bluetooth, ZigBee, LoRaWAN and others.

Different communication technologies have different characteristics and application scenarios, for example, Wi-Fi is suitable for high-speed data transmission and indoor coverage, and LoRaWAN is suitable for long-distance and low-power consumption application scenarios.

3. Data Analysis Technology

The large amount of data generated by IoT needs to be analyzed and processed to extract valuable information. Data analysis technologies include data mining, machine learning, artificial intelligence, etc.

Through data analysis, equipment condition monitoring, predictive maintenance, intelligent decision-making and other functions can be realized to improve equipment reliability and efficiency.

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