Design efficient sensor grids for smart safety, progress tracking and assets daily. Tune overlap and obstacles to match real sites then export results quickly.
R_eff = R_nominal × F_obstruction × F_reliability × (1 − M)d_base = √2 × R_effd_base = √3 × R_effd = d_base × (1 − O)O is the overlap fraction (0 to 0.80) and M is the safety margin fraction.
The estimate assumes flat coverage and uses simplified boundary handling.
| Scenario | Site (L×W) | Range | Layout | Overlap | Obstruction | Reliability | Margin | Typical spacing | Estimated sensors |
|---|---|---|---|---|---|---|---|---|---|
| Open yard monitoring | 60 m × 40 m | 20 m | Triangular | 20% | 0.90 | 0.95 | 10% | ~ 23.7 m | ~ 12 |
| Steel-heavy zone | 60 m × 40 m | 20 m | Square | 30% | 0.75 | 0.90 | 15% | ~ 13.5 m | ~ 30 |
| Indoor floor section | 40 m × 25 m | 12 m | Triangular | 25% | 0.80 | 0.90 | 10% | ~ 12.6 m | ~ 16 |
Use this short guide to translate site conditions into practical spacing, quantity, and documentation for installation teams.
Select what the sensors must detect: safety hazards, equipment movement, concrete curing, vibration, temperature, humidity, dust, or asset location. Each objective changes acceptable blind spots and required overlap. Safety alerts often need stronger redundancy than progress tracking, so you may target 25–35% overlap instead of 10–20%.
Vendor range is rarely achieved on active sites. Steel framing, temporary walls, scaffolding, and parked machinery reduce signal and line‑of‑sight. Apply an obstruction factor and a reliability factor, then add a safety margin. Example: 20 m nominal, obstruction 0.80, reliability 0.90, margin 10% → effective range 12.96 m (20×0.80×0.90×0.90).
Aligned square grids are easy to set out with tape measures and fixed offsets. Staggered (triangular) grids often cover the same area with fewer sensors in open zones. If installation time is critical, square may be preferred. If hardware budget is tight, triangular layouts typically improve coverage efficiency.
This calculator estimates spacing using coverage bounds (√2 for square and √3 for triangular) and then reduces spacing by the overlap target. It reports the maximum gap to the nearest sensor; keep this below the effective range. Raising overlap from 20% to 30% reduces spacing and can increase total devices.
Walk the site and mark obstructions, elevation changes, and restricted mounting points. Adjust for entrances, crane swing zones, and high‑value storage areas. Export CSV/PDF for coordination, then re‑run the calculator as the site evolves. Treat the spacing output as a planning baseline, not a final guarantee.
Use 10–20% for general monitoring and 25–35% for safety-critical alerts. Higher overlap improves redundancy but increases sensor count. Validate with a small pilot area before full deployment.
Start at 0.90 for open yards, 0.80 for mixed equipment zones, and 0.65–0.75 for steel-heavy or partitioned areas. If field tests show frequent dropouts, reduce it further.
Staggered rows reduce uncovered gaps between sensors. For the same effective range, triangular packing typically covers area more efficiently than a square grid, so you can often meet coverage with fewer devices.
It is best for range-based coverage sensors. Cameras and LiDAR depend on field-of-view angles and occlusion. You can still use the spacing as a starting point, then confirm using sightlines and mounting height.
Split the site into rectangles by zone type, run the calculator for each zone, and combine totals. Use stricter factors in congested areas and lighter factors in open areas.
Grid layouts waste some coverage beyond boundaries. Edge effects can add sensors compared with an ideal interior-only estimate. If edges are low priority, you may relax overlap or use partial coverage zones.
Recalculate whenever layout changes: new partitions, major equipment moves, floor completions, or seasonal weather shifts. Many teams review weekly during active phases and after any significant site reconfiguration.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.