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IoT JT
Smart Weighbridge

IoT JT

IoT-Powered Smart Weighbridge Platform β€” automated truck weighing, real-time monitoring, fraud detection, and cloud analytics for industrial logistics.

PT Petrokimia Gresik
Client
PT Petrokimia Gresik
99%
Weight Accuracy
24/7
Monitoring
100%
Client Satisfaction
System Overview

Smart Weighbridge Platform

IoT JT is an end-to-end smart weighbridge system that connects IoT sensors, cloud analytics, and AI anomaly detection β€” giving logistics managers full visibility, fraud prevention, and automated reporting.

WEIGHBRIDGEGROSS WEIGHT---LICENSE PLATE---IOT SMART WEIGHBRIDGEπŸ“Š Weighbridge AnalyticsLIVETODAY'S SUMMARYTrucks Weighed347Anomalies12Avg Net Weight18.4tRECENT WEIGHINGSPLATEMATERIALNET WTSTATUSTIME
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IoT Weighbridge Sensors

Smart load cells capture truck weight data automatically β€” tamper-proof and highly accurate.

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Cloud Monitoring

Centralized dashboard provides real-time visibility of all weighbridge operations across multiple locations.

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Anomaly Detection

AI-driven analytics detect weight fraud, overloading, and discrepancies in real-time.

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Automated Reports

Daily, weekly, and monthly reports generated automatically β€” exportable to PDF and Excel.

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Queue Management

Smart truck queuing system with RFID/barcode integration reducts wait times.

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Offline Resilient

Full autonomous operation during connectivity outages with automatic sync when restored.

Challenges

Before IoT JT

Manual weighbridge operations exposed critical gaps β€” data inaccuracy, fraud vulnerability, and zero real-time visibility across industrial logistics.

Incident #847 β€” Replay

Weighbridge #3 Β· Gate A

A weight discrepancy triggered manual re-weighing. Without automated validation, the incident took 1 hour 55 minutes to resolve, causing 14 trucks to queue.

1H 55M TOTAL RESOLUTION TIME
14 TRUCKS DELAYED IN QUEUE
ZERO AUTOMATED CHECKS
Incident Timelineβ—‹ STANDBY
06:15Truck Arrives

Truck L 3456 GH enters weighbridge lane

06:17Manual Weighing

Operator records gross weight on paper form

06:22Weight Discrepancy

Recorded weight differs from expected by 2.3 tons

06:35Supervisor Called

Operator escalates to shift supervisor via phone

07:05Re-weighing

Truck returns for manual re-weighing β€” 30 min delay

07:25Paper Trail

Supervisor fills correction form β€” 3 signatures required

07:48Data Entry

Admin manually enters corrected data into spreadsheet

08:10Resolved

1h 55m total β€” 14 trucks queued during incident

ELAPSED00:00

Manual Weighing Errors

Conventional weighbridge systems rely on human operators, prone to recording errors and inconsistency.

No Real-Time Visibility

Logistics managers cannot monitor weighbridge activity or truck movements as they happen.

Data Silos

Weighing records scattered across spreadsheets, paper logs, and disconnected legacy systems.

Operational Bottlenecks

Manual processes cause long queues, delays in distribution, and inefficient resource allocation.

Fraud Vulnerability

No automated mechanism to detect weight manipulation, overloading, or suspicious patterns.

Maintenance Blind Spots

No predictive maintenance β€” sensor failures discovered only when readings become obviously wrong.

Solution

The IoT JT Advantage

Replacing manual processes with IoT-powered automation β€” from the sensor on the weighbridge to the dashboard in the management office.

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Before
Manual paper recording
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After
IoT sensors auto-capture weight data
🎯
Before
Operator-dependent accuracy
βœ“
After
99% sensor-grade precision
☁️
Before
Spreadsheet-based records
βœ“
After
Cloud database with real-time sync
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Before
No fraud detection
βœ“
After
AI anomaly detection in real-time
πŸ”§
Before
Site visits for maintenance
βœ“
After
Remote health monitoring & alerts
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Before
Long truck queues
βœ“
After
Smart queue management with RFID
Architecture

Hardware Placement

Physical deployment of IoT devices at the weighbridge site β€” every sensor, controller, and peripheral in position.

β†’β†’WEIGHBRIDGE PLATFORMLoad Cells (5Γ—)PANEL BOXFanless Industrial PCLCD Touch ScreenPrinter ThermalSpeakerRFID ReaderLaser Sensor3Γ— pairs (L / M / R)LED Traffic LightCCTV Outdoor42.5tHardware Deployment β€” Smart Weighbridge StationWeighing SystemPanel Box / ICTraffic & SensorsDisplay & CCTV
Offline Mode

Works Without Internet

Full autonomous operation even when connectivity is down. Weighing data syncs directly to the driver's mobile device via Bluetooth or local WiFi β€” no internet required.

Data Sync Flow
NO INTERNET
βš–οΈ
Weighing Complete
Data saved to local Industrial PC
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Local Storage
SQLite buffer stores all records
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Sync to Driver
Bluetooth / Local WiFi transfer
βœ…
Receipt on Mobile
Driver gets digital weighing slip
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Bluetooth Transfer

Driver pairs their mobile device via Bluetooth to receive digital weighing receipts instantly β€” works in areas with zero connectivity.

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Local WiFi Hotspot

Industrial Computer creates a local WiFi access point. Drivers connect and download their weighing data without any internet connection.

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Auto Cloud Sync

When internet connectivity is restored, all locally stored records automatically sync to the cloud β€” no data loss, no manual effort.

🧾

Digital Weighing Slip

Drivers receive a complete digital receipt on their phone with weight data, timestamp, plate number, and QR verification code.

ANPR

License Plate Recognition

Automatic Number Plate Recognition captures and validates every truck's license plate β€” matching it against the registered fleet database in real-time.

ANPR Camera Feed
--:--:--
--- ----CAM-01 ANPR1920Γ—1080 @ 30fpsREC
Recognition ResultsACTIVE
Current Detection
Recent History

Real-time Recognition

Plates captured and matched against fleet database in under 500ms.

Fraud Prevention

Unregistered or mismatched plates trigger immediate alerts to security.

Audit Trail

Every scan logged with timestamp, confidence score, and camera snapshot.

Open Protocol

Seamless Integration

Built on open protocols β€” IoT JT connects with your existing enterprise systems via REST, MQTT, and Webhooks. No vendor lock-in.

IoT JTOpen API
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DTMS
Distribution & Transport
RESTMQTT
🏭
WMS
Warehouse Management
RESTMQTT
πŸ”—
WMS2CE
WMS to Customer Exp.
RESTMQTT
πŸ“Š
ERP
Enterprise Resource Plan
RESTMQTT
βš™οΈ
SAP
Supply Chain Module
RESTMQTT
πŸ”Œ
Custom
REST / MQTT / Webhook
RESTMQTTWebhook
Supported Protocols & Formats
REST API
MQTT v5
Webhooks
gRPC
Serial RS-232
Modbus TCP
OPC-UA
CSV / Excel
Impact

Measurable Results

Transforming weighbridge operations from error-prone manual processes to automated, intelligent, and tamper-proof systems.

Fraud Prevention

AI anomaly detection eliminates weight manipulation and unauthorized overloading.

99% Accuracy

IoT sensors deliver tamper-proof, highly reliable weighbridge measurements.

40% Faster Throughput

Smart queue management and automated weighing reduce truck wait times by 40%.

24/7 Monitoring

Continuous visibility of all weighbridge operations across multiple locations.

Reduced Costs

Eliminated manual operators, paper forms, and reduced maintenance overhead.

Technology

Technology Stack

Backend & Infrastructure

Kubernetes
Docker
Terraform
Ansible
EMQX
RabbitMQ

Data & Analytics

PostgreSQL
InfluxDB
MongoDB
Redis
.NET 9
ML Models

Frontend & Visualization

React
TypeScript
Grafana

Project Success

With IoT JT, PT Petrokimia Gresik transformed their weighbridge operations into a transparent, accurate, and automated system. Real-time visibility, fraud prevention, and 40% faster throughput β€” powering industrial logistics at scale.

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