Side-by-side
Boltek ERL10-KIT2 Dual-Sensor Lightning Detection System vs ARFF Vehicles
Spec comparison for two products on Aviation Souk. Both compete in Fire Safety & Rescue.
Fire Safety & Rescue
Boltek ERL10-KIT2 Dual-Sensor Lightning Detection System
by Boltek Corp
Dual-sensor airfield lightning alert — field mill + strike sensor with red/yellow/green ramp alerting.
Fire Safety & Rescue
ARFF Vehicles
by Grupo ITURRI
Purpose-built airport rescue and firefighting vehicles covering ICAO categories 1 through 10, from compact 4×4 regional tenders to high-capacity 6×6 and 8×8 specials for major international airports.
| Cost of ownership | Boltek ERL10-KIT2 Dual-Sensor Lightning Detection System | ARFF Vehicles |
|---|---|---|
| Price tier | — | — |
| Lead time (weeks) | ?–? | ?–? |
| Delivery | — | — |
| Install | — | — |
| GCC airports deployed | 0 | 0 |
| Certifications | 0 | 0 |
Specs
Technical specifications.
| Spec | Boltek ERL10-KIT2 Dual-Sensor Lightning Detection System | ARFF Vehicles |
|---|---|---|
| undefined | — | |
| undefined | — | |
| undefined | — | |
| undefined | — | |
| undefined | — | |
| undefined | — | |
| T4×4 water tank capacity | — | 6,100 L |
| T4×4 foam concentrate capacity | — | 800 L |
| T4×4 dry chemical powder | — | 250 kg |
| T4×4 overall length | — | 8.9 m |
| T4×4 overall width | — | 2.55 m |
| T4×4 overall height | — | 3.6 m |
| T6×6 water tank capacity | — | 12,000 L |
| T6×6 foam concentrate capacity | — | 1,500 L |
| T6×6 dry chemical powder | — | 250 kg |
| Maximum speed (both T4×4 and T6×6) | — | 125 km/h |
| Acceleration 0–80 km/h | — | 24 s |
| T6×6 roll-over stability angle | — | 32 ° |
| ICAO Annex 14 category coverage | — | 1–10 |
| Crew capacity | — | up to 5 |
| Compliance standards | — | ICAO Annex 14, NFPA 414, CAP 168, NATO STANAG |
| Production capacity (ITURRI group) | — | 500+ vehicles/year |
Decide
Ask Aviation Souk to pick for your tender.
The AI weighs both products against your specific brief — airport, certifications, lead time, budget — and tells you which fits.
Ask the AI →