Sahawatthanakit (1988) Co., Ltd.
SAHAWATTHANAKIT(1988) · Make It Smart
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State Railway of Thailand (SRT)State Enterprise — Rail Transport

IoT Monitoring + Electrical Engineering for State Railway of Thailand Locomotive Depots

Case study: design + installation of IoT sensor network + electrical control panels + remote monitoring for State Railway of Thailand (SRT) maintenance depots — PLC, SCADA, NB-IoT gateway.

2023-presentBangkok Locomotive Depot (Makkasan) + regional depots

Outcomes

  • 120+ IoT sensors deployed — vibration, temperature, current, ambient — across 3 maintenance depot locations
  • Real-time monitoring dashboard via SCADA + NB-IoT cellular gateway (no wired LAN required)
  • ~22% reduction in unplanned downtime via predictive alerts (vibration spike + temperature drift)
  • Compliant with IEC 61131-3 (PLC) + IEC 61850 (substation communication)
  • Cyber-secure: VPN-segregated network + RBAC user roles + 90-day audit log
Standards referenced
IEC 61131-3 — Programmable controllers — Programming languagesIEC 61850 — Communication networks and systems for power utility automationIEC 62443 — Industrial communication networks — IT securityISO/IEC 27001:2022 — Information security managementTIA-942 — Telecommunications Infrastructure Standard for Data Centers
Electrical control panel + IoT gateway in State Railway of Thailand locomotive depot

Project Overview

The State Railway of Thailand (SRT) operates multiple locomotive maintenance depots nationwide — Bangkok (Makkasan), Korat, Den Chai, and others — that required:

  • Real-time monitoring of heavy machinery (overhead cranes, hydraulic presses, wheel lathes)
  • Predictive maintenance signatures from vibration + temperature analysis
  • Remote dashboard accessible from HQ + locomotive depots
  • Cyber security — government work requires isolation from enterprise network + complete audit trail

Sahawatthanakit (1988) delivered a full turnkey EPC scope — survey, system design, equipment supply, installation, commissioning, and 1-year support.


Design Methodology

Step 1 — Site Survey + Asset Audit

  • Critical asset identification — 32 assets per depot (cranes, presses, lathes, compressors, transformers)
  • Vibration + temperature baseline signatures measured per machine
  • Existing network infrastructure survey — most were isolated control LANs (no internet connectivity)
  • Power audit — load + harmonic profile on main panels

Step 2 — System Architecture

[Sensor Layer]
  ├─ Vibration accelerometer (ISO 10816 mounted)
  ├─ PT-100 RTD temperature
  ├─ Current transformer (CT) clamp-on
  └─ Ambient temp/humidity DHT22
       │
       ▼
[Edge Gateway Layer]
  ├─ PLC (Siemens S7-1200 / Mitsubishi Q-series)
  ├─ I/O module 16AI/16DI/8AO
  └─ Edge compute (Beckhoff CX) for FFT analysis
       │
       ▼
[Communication Layer]
  ├─ NB-IoT cellular (no fiber needed → fast installation)
  ├─ MQTT broker (Mosquitto) on-premise
  └─ VPN tunnel back to SRT enterprise DMZ
       │
       ▼
[Application Layer]
  ├─ SCADA — Ignition / Wonderware
  ├─ Time-series DB — InfluxDB / TimescaleDB
  └─ Dashboard — Grafana + LINE alert

Step 3 — Engineering Calculations

  • Sensor sampling rate — vibration 25.6 kHz (Nyquist >10 kHz signature)
  • FFT window — 4-second Hanning window, 50% overlap
  • Alert thresholds — ISO 10816-3 Zone B/C/D boundaries per machine class
  • Network bandwidth — sized for 30-day historian + 8 sensors × 10 Hz per gateway

Installation

Parameter Specification
Sensor count 120+ (vibration 48, RTD 36, CT 24, ambient 12)
PLC / Edge gateway 8 cabinets — IP54 enclosure, DIN-rail mount
Power 220 VAC UPS-backed (30-minute runtime)
Network NB-IoT (AIS / dtac) + LoRaWAN backup
SCADA HMI 3 displays — depot + maintenance office + HQ
Cyber security VPN-tunneled MQTT, RBAC 4 roles, 90-day audit log
Commissioning FAT (factory acceptance) + SAT (site acceptance) per IEC 62381
Installation duration 12 weeks per depot
Training 16 hours for SRT engineers — SCADA + dashboard + alert tuning
Warranty 1 year + 24/7 remote support

Results (18-month accumulated data)

Metric Outcome
Critical assets monitored 120+ across 3 depots
Unplanned downtime reduction ~22% vs pre-installation baseline
Predictive alerts triggered 47 total · 39 true positive (83%)
Detected before failure 31 cases (66%) — maintenance scheduled before failure
Network uptime 99.6% (NB-IoT + LoRa backup)
Cyber audit Passed SRT internal IT audit + ISO/IEC 27001 baseline review
User adoption 12 engineers using dashboard daily post-training

Why SRT Chose Us

  1. Full EPC scope — survey + design + supply + install + commissioning + support — no multi-vendor coordination
  2. Standards-complete — IEC 61131-3, IEC 61850, IEC 62443, ISO 27001 — government work requires full documentation per phase
  3. NB-IoT = fast install, no cable trenching — older depots had no ethernet trough; cellular IoT solved this
  4. Predictive analytics, not just data collection — FFT + threshold tuning + alert routing
  5. Government-grade cyber security — VPN + RBAC + audit log + enterprise LAN isolation
  6. Training + 24/7 remote support — SRT engineers operate independently post-training; we backstop for major issues
  7. Established SRT vendor relationship — 8+ years prior in lubricant supply gave us procurement-process familiarity

Related Services

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