he working principle of an intelligent cold storage relies on the synergy of automated control, sensor perception, data interaction, and intelligent algorithms to precisely regulate key parameters like temperature, humidity, and gas composition. It optimizes energy consumption, enhances operational efficiency, and ensures cargo safety through the following core processes:

A network of sensors—including temperature sensors (±0.5℃ precision), humidity sensors, gas detectors (monitoring CO₂/O₂ for fruit/vegetable preservation), and door magnetic sensors—is deployed inside. These devices collect real-time data, which is transmitted to the central control system via wireless (LoRa, WiFi) or wired (RS485) connections, forming dynamic data streams.

The central controller, acting as the "brain," compares incoming sensor data with preset thresholds (e.g., -18℃±1℃ for freezers, 85%-95% humidity for produce). Machine learning algorithms analyze historical data (e.g., cargo turnover, ambient temperature trends) to predict cooling demands—for example, pre-cooling the warehouse before bulk cargo arrival to offset heat influx. When deviations occur, the system automatically sends commands to refrigeration equipment (compressors, fans, humidifiers) for adjustments.

The system coordinates refrigeration components: adjusting compressor frequency, fan speed, or expansion valve openings to "supply cooling on demand." For instance, reducing compressor power at night when ambient temperatures drop, or switching to "energy-saving mode" with low cargo volume. Auxiliary devices also respond—e.g., triggering alarms and boosting cooling if doors are left open, or regulating ventilation to avoid local temperature variations.

Managers access real-time data (temperature curves, energy consumption stats) via computers or mobile apps, modifying parameters or intervening manually (e.g., emergency shutdowns). The system predicts faults (e.g., refrigerant leaks) by analyzing equipment data (compressor current, evaporation pressure), sends maintenance alerts, and may switch to backup devices to prevent downtime. It optimizes energy use by leveraging factors like seasonal temperatures and off-peak electricity rates, cutting costs by 20%-30% compared to traditional cold storage.

In essence, intelligent cold storage transforms passive regulation into proactive 预判 and precise response, ensuring strict environmental control for perishables while boosting efficiency through data-driven operations.