Innovative practice of QDITC intelligent sorting warehouse in cylindrical material storage of refrigerated warehouse

In the fields of cold chain logistics and industrial manufacturing, cold storage, as the core facility for storing temperature sensitive materials, directly affects the cost and product quality of enterprises in terms of operational efficiency. Cylindrical materials (such as metal coils, paper tubes, food ingredient barrels, etc.) often face problems such as low space utilization, difficult handling, and high energy consumption in cold storage due to their special geometric shape. In recent years, the introduction of QDITC Intelligent Sorting Warehouse (VSM/SmartLoad) has provided a new technological solution for this field, promoting the upgrading of cold storage storage towards automation and precision.

1、 Pain points of cylindrical material storage in cold storage

There are three major challenges in storing cylindrical materials in cold storage: space waste, stability risks, and low operational efficiency. The traditional stacking method requires a reserved anti rolling safety distance, resulting in over 30% of the space being idle; The efficiency of manual handling in low-temperature environments decreases by 50%, and safety accidents are prone to occur due to material slippage; Frequent opening and closing of the storage door causes air loss, which increases energy consumption costs by 15% -20%.

2、 Technological breakthrough of VSM system

QDITC Intelligent Smart Load has built an intelligent storage system for cylindrical materials by improving the vertical lifting car, upgrading the conveying system, and integrating IoT sensing technology

Intelligent stacking optimization

The system generates real-time stacking schemes that maximize space utilization based on parameters such as material diameter, weight, and access frequency. By using adjustable curved shelves and adaptive fixing devices, the space utilization rate has been increased to 92%, which is 40% higher than traditional methods.

Unmanned conveying system

The V-shaped conveyor equipped with low temperature resistance (working temperature 0 ℃ to 15 ℃) is closely matched with the sorting warehouse V-shaped fork to achieve precise grasping and material shrinkage in refrigerated environments. The single handling time is reduced to 2 minutes, which is three times more efficient than manual labor.

Intelligent control of energy consumption

By monitoring the temperature field inside the warehouse and planning the access path, the opening time of the warehouse door is compressed to an average of 18 seconds per time. Combined with dynamic compensation technology for cold air circulation, the overall energy consumption is reduced by 22%.

3、 Industry application cases

In the finished product warehouse of a food enterprise in Southeast Asia, the SmartLoad system successfully managed more than 200 food grade plastic buckets with a diameter of 0.5 meters:

The storage density has been increased from 0.5 tons/square meter to 2.1 tons/square meter

The monthly average cargo damage rate has decreased from 0.7% to 0.05%

Electricity cost savings of 186000 yuan per year

4、 Future development direction

With the maturity of digital twin technology and low-temperature environment 5G communication, SmartLoad system is exploring remote operation and maintenance mode of virtual real interaction. By simulating extreme working conditions (such as -40 ℃ ultra-low temperature and 90% humidity environment) through the cold storage digital twin, storage strategies can be optimized in advance to further reduce operational risks.

conclusion

The successful application of SmartLoad system in cylindrical material cold storage marks a new stage of “algorithm driven” industrial storage. This technology solution that integrates space optimization, intelligent handling, and green energy conservation not only provides a benchmark example for cold chain logistics, but also opens up an innovative path for the digital transformation of low-temperature industrial scenarios.