Intelligent Network Central Controller

Intelligent Network Central Controller
Details:
Distributed Intelligent Network Central Control Controller
Intelligent Network Central Controller YZ-CTR6B
CPU: i.MX ARM Cortex-A7 792MHz
Operating system: Linux4.1.15 kernel
Memory: 512M DDR3 RAM
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Description
Specification
FAQ

Features

 

 

  • Safe and reliable solution: Designed with autonomous chip solutions for more controllability and security.
  • Rich and diverse physical interfaces: Various common control interfaces, such as programmable RS232, programmable RS485, programmable RELAY, programmable IO/IR reception and transmission, etc.
  • Strong expandability: Different interfaces can quickly control, integrate, and exchange information with different third-party external devices.
  • Supports various protocol interfaces such as TCP, UDP, widely applicable to different protocol devices, greatly enhancing system flexibility.
  • Transmission rate up to 576000bps, supporting 16 standard rates between 110~576000bps.
  • Supports the stacking use of multiple devices.
  • Equipped with a gigabit network port for stable network transmission.
  • Adopts a 1U chassis structure, simple and elegant, saving chassis space and improving utilization rate.
  • Uses the same design suite as the distributed system, making it more convenient for the integration and development of medium to large systems.
  • Can create automated processes, process-oriented design logic, simple to use, and clear at a glance.
  • Friendly user interface, which can be customized according to user needs, meeting the unique requirements of different projects and clients.
  • Supports CS architecture, allowing operation and control on PC, Android, iOS, and other ends simultaneously.
  • Supports multi-user, cross-platform, distributed control, meeting the control scenarios of multiple devices and supporting multi-user cluster control scenarios.
  • Strong programmability, facilitating rapid application in different programming scenarios: Supports direct command transmission, as well as analog comparison, analog XOR, analog-to-digital conversion, etc.

 

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Specification

 

 

CPU

1.2G main frequency, Hisilicon quad-core processor

FLASH

2G

RELAY

2 isolated low-voltage relays (normally open contacts)

I/O&IR IN

4 digital I/O&IR inputs

I/O&IR OUT

4 digital I/O&IR outputs

RS232(1~6)

6 DB9 bidirectional RS-232 serial communication ports

RS485(1~4)

4 3 PIN bidirectional 485 serial communication ports

LAN

1 RJ45 10M/100M/1000M Ethernet interface

LED

3 LED system status indicator lights

Power Supply

12VDC 2A

Installation Method

Standard 19-inch rack or flat surface installation

Operating Environment Temperature

5℃ to 45℃

Operating Environment Relative Humidity

10% to 90%

Weight

Approximately 2.6kg

Dimensions

483x236x44mm (including rack mounting ears)X

Question: What is an Intelligent Network Central Controller (INCC)?

Answer: An Intelligent Network Central Controller (INCC) is a advanced, AI-powered device or software system designed to centralize the management, monitoring, and optimization of complex network infrastructures. It acts as a "brain" for networks, integrating data from routers, switches, wireless access points (APs), IoT devices, and security tools to enable automated decision-making and proactive maintenance.

 

Question: What key features distinguish an INCC from traditional network controllers?

Answer: Unlike basic network controllers (which focus on manual device configuration), an INCC offers:

AI-Driven Automation: Auto-adjusts network settings (e.g., load balancing, bandwidth allocation) based on real-time traffic patterns and user behavior.

Predictive Analytics: Uses machine learning to forecast potential issues (e.g., hardware failures, congestion) and trigger preventive actions.

Unified Ecosystem Integration: Seamlessly manages both wired/wireless networks and IoT devices (e.g., smart sensors, cameras) via a single dashboard.

Adaptive Security: Enforces dynamic security policies (e.g., access control, threat mitigation) by analyzing network traffic for anomalies.

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