Product overview
Wuxi Beiwei Sensing Technology’s BW-VG600 provides digital inclination measurement for applications including unmanned aircraft, electro-optical pods and platform stabilization. Its physical format is a packaged sensor measuring 60 × 59 × 29 mm, with a cable-inclusive weight of 280g and a packaged weight of 360g. Integration therefore centers on a compact sensing component with selectable RS232, RS485 or TTL output. Its processing features include nonlinearity and orthogonality compensation, bias tracking for drift elimination, and high-performance Kalman filtering.
The BW-VG600 specifies dynamic accuracy of 0.05°, static accuracy of 0.01° and resolution of 0.01°, across pitch of ±90º and roll of ±180º. Digital integration uses a high-performance binary protocol, serial rates from 2400 to 115200 baud and output up to 500Hz, with startup delay below 50ms. Its temperature range is −40°C to +85°C. Additional specifications include mean time between failures of at least 30000 hours and electromagnetic compatibility according to GBT17626.
Specifications
| Specification | Value & conditions |
|---|---|
| Product identity | BW-VG600 high-precision digital dynamic inclination sensor |
| Manufacturer | Wuxi Beiwei Sensing Technology |
| Dynamic accuracy | 0.05° |
| Static accuracy | 0.01° |
| Resolution | 0.01° |
| Inclination range | Pitch ±90º; roll ±180º |
| Packaged sensor dimensions | L60 × W59 × H29 mm |
| Weight with cable | 280gIncluding cable. |
| Weight with packaging | 360gIncluding packaging. |
| Startup delay | Less than 50ms |
| Maximum output frequency | 500Hz |
| Serial communication rate | 2400 to 115200 baud |
| Digital output format | High-performance binary protocol |
| Mean time between failures | ≥30000 hours |
| Electromagnetic compatibility | According to GBT17626 |
| Interface options | RS232, RS485 or TTLSelectable interface output. |
| Temperature range | -40°C to +85°C |
| Compensation | Nonlinearity and orthogonality compensation |
| Drift compensation | Special bias-tracking algorithm for drift elimination |
| Filtering | High-performance Kalman filtering algorithm |
| Applications | Unmanned underwater craft; wind turbine tower sway monitoring; platform stabilization; large vessels; electro-optical pods; autonomous driving; special-purpose vehicles; unmanned aircraft |
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