The cold chain temperature and humidity monitoring system plays a crucial role in industries such as food, pharmaceuticals, and chemicals, ensuring that products remain in optimal condition during transportation and storage. The composition of the system can be analyzed from the perspectives of system architecture, data collection, data transmission, and data processing.

 

 

System Architecture and Its Components

The cold chain temperature and humidity monitoring system mainly consists of sensors, data acquisition devices, communication modules, data processing and storage platforms, and user terminals. The system architecture is as follows:

1. Sensors: Used to monitor changes in ambient temperature and humidity in real-time, typically including temperature sensors and humidity sensors. These sensors need to have high accuracy, stability, and long life to ensure the accuracy and reliability of the monitoring data.

2. Data Acquisition Devices: Responsible for collecting data from sensors and performing preliminary processing. These devices usually include data loggers or data acquisition modules, capable of filtering, amplifying, and digitizing sensor data.

 

 

3. Communication Modules: Transmit data collected by data acquisition devices to remote servers or cloud platforms. Common communication technologies include cellular networks (such as 4G/5G), wireless local area networks (Wi-Fi), Bluetooth, and LoRa. The choice of communication technology depends on the coverage area, data transmission rate, and power consumption requirements of the application scenario.

4. Data Processing and Storage Platform: Usually a cloud server or local server, used to receive, store, and process data transmitted from the communication modules. This platform typically integrates data analysis and visualization tools, capable of generating various reports and alert information.

5. User Terminals: Users access the monitoring system through PCs, smartphones, or tablets to view real-time data and historical records and receive abnormal alerts. User terminals can also be used to remotely configure system parameters and manage devices.

 

Data Collection

Data collection is the core part of the cold chain temperature and humidity monitoring system, directly affecting the system’s performance and reliability. The data collection process typically includes the following steps:

1. Sensor Calibration: Ensure that the sensor readings are accurate. Sensors need to be rigorously calibrated before use to reduce errors.

 

 

 

2. Data Collection Frequency Setting: Set the data collection frequency according to the specific requirements of cold chain transportation. Too low a frequency may result in abnormal situations not being detected in time, while too high a frequency may increase system power consumption and data transmission pressure.

3. Data Preprocessing: Filter, amplify, and digitize the collected data to remove noise and interference, ensuring data quality.

 

Data Transmission

Data transmission is a critical part of the cold chain temperature and humidity monitoring system, determining the system’s real-time performance and reliability. Common data transmission methods include:

1. Cellular Networks: Suitable for large-scale cold chain transportation, enabling real-time data transmission and global coverage. 4G/5G technologies have the characteristics of high bandwidth and low latency, making them ideal for applications that require frequent data transmission.

 

 

2. Wireless Local Area Networks: Suitable for fixed environments such as cold storage, providing high bandwidth and stable connections. Wi-Fi technology is relatively low-cost but has limited coverage.

3. Bluetooth: Suitable for short-distance data transmission, mainly used for communication between data acquisition devices and relay devices. Bluetooth technology has low power consumption but limited transmission distance.

4. LoRa: Suitable for low-power, long-distance data transmission, mainly used for wide-coverage applications with low data transmission volumes.

 

Data Processing

Data processing is the final step in the cold chain temperature and humidity monitoring system, involving data storage, analysis, and visualization. The data processing platform typically has the following functions:

1. Data Storage: Store the collected data in a database for subsequent querying and analysis.

 

 

2. Data Analysis: Use big data analysis techniques to analyze the stored data, identify potential anomalies and trend changes.

3. Data Visualization: Present the data intuitively to users through charts and reports, helping users to quickly understand and make decisions.

4. Alarm System: When temperature and humidity exceed preset ranges, the system sends alert messages to users via SMS, email, or mobile apps, allowing timely action.

 

 

Eelink Communication is a high-tech enterprise dedicated to applying wireless communication technology to the Internet of Things (IoT). With 20 years of experience in the industry, Eelink focuses on the development and manufacturing of IoT hardware devices. Its product range includes remote monitoring platforms for temperature and humidity, with services covering asset management, vehicle theft prevention, insurance sales, and cold chain transportation management. Eelink continuously drives industry development through innovative technology and high-quality services, gaining widespread recognition and acclaim in the global market.