# A Digitization Framework for Belt Rotation Monitoring in Pipe Conveyor Applications

**Authors:** Leonardo dos Santos e Santos, Paulo Roberto Campos Flexa Ribeiro Filho, Emanuel Negrão Macêdo

PMC · DOI: 10.3390/s25216792 · 2025-11-06

## TL;DR

This paper introduces a digital framework for monitoring belt rotation in pipe conveyors to improve their stability and sustainability.

## Contribution

A belt-independent, multiparameter measurement system using IoT devices for real-time belt rotation monitoring in pipe conveyors.

## Key findings

- The system achieved suitable precision for overlap angle, pipe diameter, and overlap length measurements.
- A controller-responder wireless network of ESP32 devices was implemented to address data scarcity in belt rotation monitoring.
- The framework shows potential for industrial deployment with acceptable real-time performance.

## Abstract

Pipe conveyors provide an environmentally friendly alternative to open-troughed bulk solids conveyance, particularly for long or complex routing applications. However, the sustainability of this technology is compromised by unstable operations. Complex routing, operational variations, and environmental factors create uneven contact forces, triggering belt rotation. This is a critical failure mode that requires continuous monitoring throughout the conveyor’s lifecycle. Insufficient failure data represents a typical challenge for this application. This study hypothesized technological principles that constitute the minimum requirements for enabling the scaling of industrial applications of belt rotation monitoring. Enabling technologies were adopted to foster innovation, and a physical prototype was implemented to address data scarcity for this failure mode. Using a controller-responder wireless network of ESP32 Industrial Internet of Things devices, we developed a belt-independent measurement system with multiparameter capability. Key criteria for detecting unsafe operational states and a criticality-based approach for determining optimal measuring unit quantities were established. The measurement results demonstrated suitable precision for digitization objectives: overlap angle (3.3107° ± 16.7562°), pipe diameter (+13.3850 ± 7.2114 mm), and overlap length (−26.2750 ± 25.1536 mm), based on 307 samples with a latency of 350.1303 ms. The framework demonstrates potential for industrial deployment with acceptable performance for real-time monitoring.

## Full-text entities

- **Diseases:** injury to (MESH:D014947), LLM hallucination (MESH:D006212), fatigue (MESH:D005221), stroke (MESH:D020521), LLMs (MESH:D007806)
- **Chemicals:** acids (MESH:D000143), oxygen (MESH:D010100), neoprene polymer (-), ozone (MESH:D010126), oils (MESH:D009821), iron (MESH:D007501), PLA (MESH:C033616), neoprene (MESH:D009387), SBR (MESH:C065815)
- **Species:** Homo sapiens (human, species) [taxon 9606]
- **Mutations:** A to C, start-stop, A 90 W, C to +70

## Figures

15 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12609560/full.md

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Source: https://tomesphere.com/paper/PMC12609560