Edge Gateway

Connectivity

Multi-Backhaul

Processor

Quad-Core ARM

Operating System

Custom Linux

Request Quote Download Datasheet

Product Overview

The Controlytics Edge Gateway is the central intelligence hub for modern industrial IoT deployments. This robust Linux-based platform seamlessly operates as a LoRaWAN gateway while providing powerful edge computing capabilities, enabling intelligent data processing at the network edge before transmission to the cloud.

Built with industrial-grade reliability, the Edge Gateway supports multiple backhaul options including Ethernet, 4G LTE, and WiFi, ensuring connectivity regardless of your network infrastructure. With native support for 500+ simultaneous sensors, the gateway handles enterprise-scale deployments while consuming minimal power and maintaining low latency communication.

Key Features

🌐

LoRaWAN Gateway

8 simultaneous channels with support for 500+ sensors. Class A/B/C compatible with adaptive data rate optimization for reduced bandwidth.

🖥️

Edge Computing

Quad-core ARM processor with 2GB RAM enables real-time data processing, analytics, and decision-making at the network edge without cloud latency.

📡

Multi-Backhaul Connectivity

Ethernet, 4G LTE Cat-6, and 802.11ac WiFi connectivity options ensure deployment flexibility in any environment. Automatic failover between connection types.

⚙️

Docker Support

Containerized application deployment enables custom workflows, protocol translation, and third-party integrations with minimal development effort.

🔒

Enterprise Security

AES-128 encryption, TLS 1.3, ECDSA authentication, and OpenVPN/WireGuard support provide military-grade security for sensitive data processing.

🔄

Protocol Translation

Convert between LoRaWAN, Modbus, Zigbee, and other protocols. Enable heterogeneous device ecosystems to communicate seamlessly on unified platform.

How It Works

Collection: The gateway receives LoRaWAN transmissions from 500+ distributed sensors across the facility. Advanced antenna design provides 10-15km range in open field environments.

Processing: The embedded quad-core processor executes edge analytics algorithms, performs data aggregation, applies filters, and detects anomalies without cloud connectivity.

Integration: Processed data can be transformed into MQTT topics or HTTP endpoints, enabling seamless integration with existing monitoring platforms and enterprise systems.

Transmission: Encrypted data is transmitted via Ethernet, 4G LTE, or WiFi backhaul to cloud platforms or local systems. Only essential insights are uploaded, reducing bandwidth costs.

Technical Specifications

Parameter	Specification
LoRaWAN Channels	8 simultaneous channels
Maximum Sensors	500+ simultaneous sensors (Class A/B/C compatible)
Processor	Quad-core ARM 1.8 GHz
Memory	2GB LPDDR4 RAM
Storage	32GB eMMC internal storage
Ethernet	Gigabit 10/100/1000 Mbps
Cellular	4G LTE Cat-6 modem
WiFi	802.11ac dual-band (2.4GHz & 5GHz)
Radio Frequency	868MHz / 915MHz configurable
TX Power	20dBm (configurable)
Range	10-15km open field
Power Input	12-48V DC / 100-240V AC
Power Consumption	15W typical
UPS Backup	Optional 8-hour battery
Operating Temperature	-20°C to +60°C
IP Rating	IP54 (outdoor option available)
Humidity	10-90% non-condensing
Encryption	AES-128, TLS 1.3
Authentication	ECDSA
VPN Support	OpenVPN / WireGuard ready
Operating System	Custom Linux-based
Containerization	Docker support
Firmware Updates	OTA (Over-The-Air)

Ideal Applications

The Controlytics Edge Gateway excels in deployments requiring distributed intelligence, edge processing, and seamless protocol integration across industrial facilities.

🔌

Central Data Collection Hub

Aggregate data from hundreds of distributed sensors across industrial facilities. Process and filter information locally before cloud upload, reducing bandwidth costs and improving network reliability.

🔄

Protocol Translation

Seamlessly convert between LoRaWAN, Modbus, Zigbee, and other protocols. Enable heterogeneous device ecosystems to communicate and share data across different communication standards.

⚡

Edge Analytics & Processing

Execute real-time algorithms on gateway hardware without cloud latency. Implement anomaly detection, predictive maintenance, and immediate response mechanisms for critical industrial processes.

📡

MQTT/HTTP Data Push

Transform LoRaWAN sensor data into standard MQTT topics or HTTP endpoints. Integrate with existing monitoring platforms, dashboards, and enterprise software systems effortlessly.

🌍

Remote Network Deployment

Deploy in areas with limited connectivity using 4G LTE or WiFi backhaul. Ensures reliable operation in rural industrial sites, offshore facilities, and locations far from traditional infrastructure.

🏭

Industrial Facility Management

Monitor energy consumption, environmental conditions, and equipment status across large facilities. Support autonomous decision-making and reduce operational costs through intelligent edge processing.

📊

Real-Time Control Systems

Implement low-latency closed-loop control systems at the edge. React to sensor inputs and execute corrective actions within milliseconds without cloud round-trip delays.

🔒

Secure Data Processing

Process sensitive industrial data locally with end-to-end encryption. Minimize data transmission to cloud systems and maintain compliance with data residency and privacy regulations.