
An electronic belt scale is an automated measuring instrument that utilizes sensors to detect the load weight of materials conveyed on a belt and the belt speed, thereby obtaining the cumulative weight of materials conveyed over a certain period of time.
Currently, with the development of electronic belt scales and their integration with computer management and industrial automation control technologies, leveraging their online and real-time measurement capabilities, they can directly output control signals to achieve quantitative feeding and proportional feeding, enabling production process control. Their applications have become more widespread, and there are also higher requirements for their measurement performance.

A multi-idler electronic belt scale is a type of belt scale equipped with multiple measuring idlers and multiple weighing sensors. This device utilizes multiple idlers in contact with the belt to more precisely monitor the weight of materials passing through via multiple high-precision weighing sensors, further improving its measurement performance.
Its measurement accuracy, stability, and reliability are higher, making it widely applied in the weighing and measurement of bulk materials and production process control in various industrial sites, providing crucial technical and data support for production operations and management.
Multi-idler electronic belt scales can be applied in industrial fields requiring high measurement accuracy where there are long belt conveyors. In the mining industry, they can be used for weighing and measuring the conveyance of raw coal, ores, etc., providing real-time production data for production monitoring and scheduling management.
In the power industry, they can be used to measure the consumption of fuel coal, biomass, and other power generation materials, facilitating consumption statistics.
In the chemical industry, they can accurately measure the input quantities of raw materials or be combined with industrial automation control technologies to precisely control the input ratios of raw materials, ensuring production stability and continuity, as well as guaranteeing product quality stability.

To retain the advantages of a long weighing area and strong filtering capability of multi-idler electronic belt scales while enhancing their applicability and accuracy, they can be further subdivided into multiple types, including lever-type multi-idler belt scales, suspension-type multi-idler belt scales, and combined multi-idler belt scales.
The ICS-17A features a double-lever structure with four measuring idlers and four weighing sensors; the ICS-17B has a single-lever structure with two measuring idlers and two weighing sensors; the ICS-14A is of a suspension-type structure with four measuring idlers and four weighing sensors; and the ICS-14B is also of a suspension-type structure but with three measuring idlers and four weighing sensors. The combined multi-idler belt scale is constructed by arranging single-point suspension measuring idlers in a matrix pattern according to mathematical models, without levers or crossbeams, representing a new type of high-precision intelligent belt scale.
The aforementioned ICS-17 lever-type multi-idler belt scales can accommodate belt conveyors with an inclination angle of up to 17°, achieving a dynamic accuracy of 0.5%, meeting the measurement application requirements of most industrial settings.
The ICS-14 suspension-type multi-idler belt scales can accommodate gently sloping belt conveyors with an inclination angle of up to 6°, achieving an ideal dynamic accuracy of 0.25%, meeting high-precision measurement requirements for settlement and trade.
The matrix combined multi-idler belt scale can accommodate belt conveyors with an inclination angle of up to 20°, maintaining a long-term dynamic accuracy of 0.2%, almost meeting the measurement requirements of any industrial setting.
Various multi-idler electronic belt scales offer significant benefits in production and measurement management, ensuring the accuracy and stability of production measurements, avoiding production interruptions caused by measurement issues, and reducing human errors and equipment failures. Secondly, they provide real-time production measurement data feedback, enabling more efficient production supervision and more accurate production scheduling.
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