Affinity Digitiser

产品介绍

The Güralp Affinity is a high-fidelity integrated digitiser and network communications unit that provides a convenient and expandable way of connecting analogue and digital instruments to your network.

The Affinity delivers high-quality digitisation with 31-bit resolution. Designed for data quality and durability, the Affinity is a stable and robust Linux-powered unit with on-board storage and networking facilities. An advanced module directly controls power supply to peripherals and reports their voltages via state-of-health communications.

For applications where data verification is critical the Affinity also supports Digital Signature Algorithm (DSA) scheme data authentication.

The Affinity is available as a four channel or eight channel unit.

Manufacturer: Guralp Systems Ltd.

Application: 

supporting 3T series seismometer, 3ESPC, 40T, 6T, Fortis and other analog seismometer

产品参数

31-bit analogue-to-digital conversion

Available with four or eight ADC channels

Ultra-low-noise: >138 dB of dynamic range @ 100 sps

8 or 16 environmental multiplexed ADC channels

Triggering/events subsystem capabilities including STA/LTA, level (threshold), software triggers, per-channel voting and peer-to-peer network voting

Four (or eight) concurrent sampling rates of up to 4000 samples per second

UTC time-stamped data using a low-power GPS receiver and state of the art timing protocols, Precision Time Protocol (PTP) and Network Time Protocol (NTP)

Multi-user Linux operating system with full network support

On-board Web server (HTTP and HTTPS) allows full remote configuration of digitizer parameters and broadband sensors, including remote lock, unlock and centre

Fixed 64 GB onboard storage with additional connection for external USB storage

Records in GCF and miniSEED

Supports DSA scheme data authentication

Supports multiple data formats, including GCF, GDI, miniSEED, CD1.1 and SEEDlink

Built-in calibration signal generator: step, sine or broadband

Fully integratable with a wide range of multi-disciplinary sensors