محطة خلط الخرسانة HZS180 في الفلبين

في الفلبين، قدمت محطة خلط الخرسانة HZS180 دعماً قوياً للعديد من مشاريع البناء المحلية واسعة النطاق بفضل أدائها المتميز ونظام التحكم الذكي الذي تتمتع به.

The theoretical productivity of this mixing plant is as high as 180m³/h, the discharge height is 40m, and the BHS DKXN 3.00 concrete mixer is equipped with a theoretical production cycle of only 60 seconds. It can produce concrete efficiently and stably to meet the urgent needs of large-scale projects. Its aggregate silo capacity is 4x18m³, the belt conveyor capacity can reach 600 tons per hour, and the maximum conveying capacity of the screw conveyor is 100 tons per hour. The powerful material conveying capacity ensures the continuity of production. The total power of the equipment is 217kw, which ensures efficient operation while realizing the rational use of energy.

In terms of material weighing, the HZS180 mixing plant shows extremely high accuracy. The aggregate weighing range is 0 – 3600kg, with an accuracy of ±2%; the cement weighing range is 0 – 1500kg, with an accuracy of ±1%; the fly ash weighing range is 0 – 1000kg, with an accuracy of ±1%; the water weighing range is 0 – 800kg, with an accuracy of ±1%; the admixture weighing range is 0 – 100kg, with an accuracy of ±1%. Such precise batching lays the foundation for the production of high-quality concrete.

Relying on the intelligent control system, the HZS180 mixing station has its advantages. The sensor collects data such as motor speed and material flow in real time to accurately control the operation of the equipment. The material conveyor belt speed automatically matches the mixer feeding demand, greatly reducing the material waiting time and significantly improving production efficiency by about 30%. Through real-time monitoring and analysis of key data, the data analysis model is used to judge the mixing situation based on the change of mixer current, effectively reducing the defective rate by about 20%, and ensuring the quality of concrete. The system can also continuously collect equipment operating parameters, predict equipment failures in advance, and avoid long downtime and high maintenance costs caused by sudden failures.