-
E-mail
422954@qq.com
-
Phone
18668420066
-
Address
Room 8304-1, Building 2, No. 22 Longquan Road, Cangqian Street, Yuhang District, Hangzhou
Hangzhou Drucker Technology Co., Ltd
Real time data acquisition of temperature monitoring system for refrigerated trucks
Date: 2025-07-16Read: 0
The real-time data collection of the refrigerated truck temperature monitoring system is the core link to ensure the quality of cold chain transportation, mainly achieved through sensors, communication technology, and data processing platforms. The following is a systematic solution:
1、 Architecture of refrigerated truck temperature monitoring system:
1. Perception layer (data collection):
Temperature sensor: deployed in key positions inside the carriage (such as front, rear, and middle) to monitor the ambient temperature in real time.
Humidity sensor (optional): For fresh food or pharmaceutical transportation, monitor humidity changes.
GPS module: synchronously collects vehicle position, driving speed, and route information.
Door switch sensor: records door opening events in the carriage to prevent temperature fluctuations.
2. Transport layer (data transmission):
Communication method:
4G/5G cellular network: Real time uploading of data to the cloud with low latency (mainstream solution).
LoRa/NB IoT: Suitable for remote areas or low-power scenarios.
Satellite communication: a backup solution for maritime or signal free areas.
Edge computing: the on-board terminal can store data locally and preprocess, and cache data when the network is disconnected.
3. Application layer (data processing and display):
Cloud platform: Receive, store, and analyze data, generate real-time monitoring interfaces and historical reports.
Alarm system: Triggering sound and light/SMS/email alarms when temperature exceeds the limit, equipment malfunctions, or abnormal door opening occurs.
Mobile APP: Drivers and managers can view data and receive alerts anytime and anywhere.
2、 Real time data collection process for refrigerated truck temperature monitoring system:
1. Sensor sampling:
Temperature, humidity, GPS and other sensors collect data at a set frequency.
The data is sent to the vehicle terminal after analog-to-digital conversion (ADC).
2. Data processing and packaging:
Vehicle mounted terminals perform data verification, denoising (such as filtering algorithms), and compression.
Add timestamp and location information, and encapsulate them into standard data packets.
3. Transfer to cloud platform:
Send data packets to cloud servers through 4G/5G modules.
When the network is disconnected, the data is temporarily stored locally and automatically transmitted after the network is restored.
4. Cloud platform parsing and storage:
The server parses the data packet and stores it in the time-series database.
Real time update of monitoring interface, triggering abnormal alarm rules (such as temperature>set upper limit).
