Quasar's Z-Pack:
❏High Performance Industrial Controller with Low Power Consumption and Edge capabilities.
❏Embedded LoraWan Gateway
❏Ideal for running ML Models for Diagnostics
Quasar's X-Pack:
❏High Performance Remote Terminal Unit with ultra-low power consumption operated by a battery or DC powered.
❏Embedded Long Range (up to 5kmts) Communication through Lora Radio technologies or ZigBee with proprietary modulation.
❏Battery Life of two years.
Input/Outputs:
❏Zone 1 – Intrinsically Safe
❏8 Analog Inputs 4-20mA, 0-10V, 16 bits
❏8 Digital Inputs 24 VDC, opto-isolation
❏4 Digital Outputs
❏2 Analog Outputs
❏RS-485 Port
❏RS-232 Port
❏Pulse Input for high-speeds flow meter
Communication & Protocols:
❏Ethernet Port: RJ45
❏RS-232,RS-485, USB
❏Modbus RTU/TCP
❏MQTT
Environmental & Electrical Specs:
❏Operating Temperature (-40C to 70C)
❏Power Supply: Battery 10mAh
❏IP 65 Enclosure
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Specifications:
❏AI Performance 67 INT8 TOPS
❏GPU NVIDIA Ampere Architecture
❏CPU 6-core ARM® Cortex® 64 Bit-CPU
❏Memory: 8GB
❏Support SD Cards
Input/Outputs:
❏8 Analog Inputs 4-20mA, 0-10V, 16 bits
❏8 Digital Inputs 24 VDC, opto-isolation
❏4 Digital Outputs
❏2 Analog Outputs
❏Pulse Input for high-speeds flow meter
Communication & Protocols:
❏Ethernet Port: RJ45
❏RS-232,RS-485, USB
❏Modbus RTU/TCP
❏MQTT
Environmental & Electrical Specs:
❏Zone 2
❏Operating Temperature (-40C to 85C)
❏Power Consumption 5Watts
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Core Specifications:
❏Predictive Maintenance and throughput optimization based on AI and Flow Simulation.
Connectivity and Ingestion:
❏Native Support for MQTT, Sparkplub B, OPC UA, Modbus TCP and SNMP
❏Edge Agents: Open Telemetry Based-based for local data buffering and pre-processing
❏Data Sources: 150+ native connectors
Technical Performance Metrics:
❏Max concurrent users: 10,000 Enterprise
❏Data Retention: 13 Months/ Unlimited for Enterprise hosted
❏Refresh Rate: Near Real time
❏Security Compliance: SOC2, GDPR, HIPA and ISO 27001
Operational Environment and scaling:
❏Hybrid Deployment: on-premises or in the gloud.
❏Incident Management
❏High Performance Data Persistence Layer
❏Scalable
❏Extensible
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