Sensors & Edge Telemetry Network
Industrial-grade sensing arrays, environmental monitoring clusters, and biomedical telemetry systems engineered for autonomous deployment and real-time data streaming.
Network Performance & Compliance
Live Telemetry Uptime
99.98% SLA
Active Nodes
1,247,392
Avg. Latency
14.2 ms
Data Throughput
84.7 TB/hr
Packet Loss
0.002%
Protocol Support Matrix
V4.2.0
MQTT 5.0
Native
OPC-UA
Supported
Modbus TCP/RTU
Supported
LoRaWAN / NB-IoT
Dual-Band
Certification & Safety
ATEX / IECEx
Zone 1 & 2
IP Rating
IP68 / IP69K
Medical Grade
IEC 60601-1
Compliance Score: 98.4%
Developer Integration
Connect to the Aevum Zenth sensor mesh via REST, GraphQL, or native WebSocket streams. SDKs available for Python, Go, Rust, and C++.
- GET/v2/nodes/{id}/telemetryStream live data
- POST/v2/calibration/applyRemote calibration
- GET/v2/diagnostics/meshNetwork topology
- WS/ws/events/streamReal-time alerts
python
Copy
import aevum_zenth_sdk as az # Initialize client with API key client = az.Client(api_key="az_live_x8k29...") # Subscribe to environmental cluster stream = client.telemetry.subscribe( cluster="env_sector_7", protocol="mqtt", interval="500ms" ) for packet in stream: print(packet.timestamp, packet.values)