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Guonuo High-Precision Matrix Belt Scale Solves Metrology Problems for Iron Ore Enterprises, Highly Acclaimed

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Update time:2025-12-19

In iron ore mining enterprises, it is usually necessary to measure large quantities of mined ores, which is crucial for capacity statistics, sales accounting, and other aspects of iron ore enterprises.

However, weighing and metrology have always been a challenge for iron ore enterprises due to the large output of iron ore, long conveying distances, varying sizes of material volumes, and the predominantly outdoor industrial environment, all of which pose significant difficulties for metrology work.

Although traditional belt scales can perform metrology tasks, they often suffer from various issues, such as insufficient accuracy to meet requirements, inability to maintain accuracy over time after initial installation, and delayed or incomplete data provision.

 

Recently, Guonuo completed a high-precision matrix belt scale project for a large iron ore mining and processing enterprise. Prior to actual application and even during installation and debugging, the client had doubts about the effectiveness of the belt scale due to their awareness of the series of problems associated with field-applied belt scales. However, after a period of practical application and verification, the Guonuo high-precision matrix belt scale met the client's requirements in terms of metrology results, operation, and data management, earning full recognition and acclaim!

 

立昂商贸、巨龙铜业 高精度皮带秤.jpg


The reason why the Guonuo high-precision matrix belt scale has gained user approval lies in its characteristics of high precision, high reliability, high stability, simple operation and calibration, and rich data management functions, enabling long-term stable operation in iron ore operating environments and resolving various issues faced by clients in previous metrology processes.

 

It addresses problems of low metrology accuracy and poor stability by employing cutting-edge digital signal processing technology to successfully resolve interference and transmission issues of load signals caused by electromagnetic factors; a unique single-point suspension matrix platform structure design eliminates the negative impact of belt tension on metrology; the absence of levers and beams resolves the issue of frequent jamming of the scale frame by iron ore; an extremely small horizontal surface area of the scale frame minimizes interference from dust accumulation on weighing; and automatic zero calibration and adjustment interval value corrections further enhance stability by rectifying zero-point fluctuations.

 

It resolves issues of frequent calibration and difficult operation management. The small horizontal surface area of the Guonuo high-precision matrix belt scale reduces dust accumulation, minimizing the need for frequent cleaning; one-click calibration and verification simplify the calibration process; automatic online monitoring and intelligent analysis functions reduce the need for frequent manual inspections; and fault diagnosis and alarms shorten troubleshooting and repair times, reducing downtime.

 

It tackles problems of non-shared metrology data and incomplete data functions. The Guonuo high-precision matrix belt scale is equipped with communication interfaces such as RS232 and RS485, enabling real-time data upload and sharing with other upper computers in the network, eliminating the need for manual statistical reporting; the configured upper computer software can display real-time iron ore metrology data as well as the operational status of the belt scale; and integration with other production management systems in iron ore enterprises enables data sharing, further enhancing enterprise management efficiency.

 

The Guonuo high-precision matrix belt scale has been highly acclaimed for solving metrology problems in iron ore enterprises. It provides a reliable, accurate, and efficient weighing and metrology solution for iron ore enterprises, contributing to improved production efficiency, quality control levels, and data analysis capabilities.


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