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Weight Bridge Truck Integration

Weight Bridge Truck Integration

Weight Bridge Truck Integration is an industrial IoT solution that modernizes a legacy weighbridge system at PT. Keramindo Megah Pertiwi, in service since 1998. The project uses a Raspberry Pi 3 to intercept and decode raw RS-232/236 serial communication from original hardware, digitizing previously isolated data. By leveraging the custom "samudra-scale" Python library, the system translates raw byte data into real-time weight metrics (KG), accounting for vehicle tare and liquid adjustments. The solution includes a web-based dashboard for vehicle registration, monitoring, and automated reporting. This integration transformed a three-decade-old scale into a modern, data-driven asset, improving transparency and accuracy without expensive hardware replacements.

Team: 1
Category: personal
Role: Software Engineer

Samudra Scale — Legacy Weighbridge Modernization

WB Device

🏗 Project Context

This project focuses on the digital transformation of a heavy-duty truck weighbridge system at PT. Keramindo Megah Pertiwi. Originally installed in 1998, the system lacked modern data interfaces, making it difficult to integrate with current logistics and reporting software. I developed a complete end-to-end solution to bridge this 28-year technology gap without requiring expensive hardware overhauls.

🚀 The Solution: Legacy to Cloud

The core of the solution is a hardware-software bridge that transforms raw industrial signals into actionable business intelligence. It effectively digitizes data that was previously isolated within the local scale hardware.

LayerImplementation
Edge HardwareRaspberry Pi 3 acting as a gateway to intercept RS-232/236 serial streams.
Logic LayerReal-time byte translation using the specialized samudra-scale Python library.
ApplicationA centralized web dashboard for vehicle management and automated logistics reporting.

🛠 Technical Implementation

Real-Time Data Translation

The primary technical challenge was decoding the proprietary byte format of the legacy scale. I engineered the samudra-scale library to map these specific byte sequences into numeric values, enabling accurate real-time monitoring of truck payloads.

from samudra_scale import decode_bytes

# Intercepted raw data from 1998 legacy hardware
data = b'S\xd4\xacGS\xac+\xa000\xb8950\xeb\xe7\x8d\n'

# Real-time decoding into KG
weight = decode_bytes(data)
print(f"Current Payload: {weight} KG") # Output: 8950

WB App

Digital Management Dashboard

The integrated app provides a modern UI to manage the entire weighbridge lifecycle:

  • Vehicle Tracking: Automated logging of entry/exit times and truck IDs.
  • Weight Calculation: Precision monitoring that accounts for tare weight and cargo variables.
  • Instant Reporting: Exportable data for supply chain and inventory audits.

✨ Key Impact

  • Infrastructure Longevity: Modernized 1998 hardware without the need for high-cost equipment replacement.
  • Real-Time Accuracy: Eliminated manual logging errors through automated Raspberry Pi data capture.
  • Data Accessibility: Centralized all weighbridge activity into a single, accessible web platform.

💻 Tech Stack

  • IoT Hardware: Raspberry Pi 3 (Embedded Linux).
  • Protocols: RS-232/236 Serial Communication.
  • Library: samudra-scale (Proprietary/Public Hybrid).
  • Software: Node.js & Next.js for the Management Dashboard.
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