Universal Network Management AIoT Application Server with LCD
PLANET's NMS-AIoT (Universal Network Management AIoT) Application Server can directly monitor over 3,000 sensing devices. In the era of edge computing and AIoT (Artificial Intelligence of Things) applications, enterprises require a high-performance, secure, and flexible management platform to integrate various wired and wireless IoT devices and massive environmental data. The NMS-AIoT Application Server offers a comprehensive solution by integrating energy management, wide-area transmission, and AI edge computing, providing an efficient and secure AI private cloud network for enterprises.
PLANET NMS solution features intuitive dashboard, and map viewing to make network management efficient and effective.
The exclusive product features for PLANET NMS solution include:
- ESG energy management reporting with real-time sensor data analysis and carbon footprint reduction
- Supports integration with versatile IoT devices
- Cybersecurity with IEC 62443 certified
- Supports private and PLANET cloud platforms
Unified Platform Integration
The NMS-AIoT platform integrates multiple communication protocols, including LoRa, Wi-Fi, HaLow, Modbus, and PDU. This integration allows the management of over 3,000 sensing devices, supporting both wired and wireless connections. It ensures seamless communication and efficient management of various IoT devices across an enterprise's infrastructure.
ESG Energy Management Reporting
One of the standout features of the NMS-AIoT is its ability to support ESG (Environmental, Social, and Governance) energy management reporting. The platform provides real-time sensor data analysis and aids in reducing the carbon footprint by optimizing energy usage. This feature is critical for enterprises aiming to achieve sustainability and energy efficiency goals.
Cybersecurity Compliance
Security is a paramount concern in IoT deployments. The NMS-AIoT platform is certified with IEC 62443, ensuring robust cybersecurity measures. It includes SSL VPN and hybrid VPN support, enhancing secure communications and protecting sensitive data from potential cyberthreats.
AI and Edge Computing Integration
The platform leverages AI edge computing capabilities to process data locally at the edge of the network. This reduces latency and enhances the efficiency of data processing. Real-time monitoring and predictive maintenance are made possible, which optimizes operations and reduces downtime.
Flexible Deployment Options
The NMS-AIoT supports both private and PLANET cloud platforms, offering flexible deployment options for enterprises. This flexibility ensures that the solution can be tailored to specific organizational needs, whether they require on-premise or cloud-based solutions.
Centralized Intelligent Management Interface
The NMS-AIoT features a Centralized Intelligent Management Interface designed to be intuitive and user-friendly. This interface provides a comprehensive dashboard that offers real-time monitoring and management of all connected IoT devices. With clear visualizations and easy-to-navigate menus, users can quickly access vital information, analyze data, and make informed decisions. The user-centric design ensures that even those with minimal technical expertise can efficiently operate the system, maximizing productivity and minimizing downtime.
Smart Building Management
In smart building applications, the NMS-AIoT can manage various sensors, including temperature, humidity, occupancy, and energy usage sensors. This allows for real-time monitoring and optimization of building operations, enhancing energy efficiency and occupant comfort.
Industrial Automation
For industrial automation, the platform supports the integration of industrial-grade sensors and controllers, enabling precise monitoring and control of manufacturing processes. This results in improved productivity and reduced operational costs.
Environmental Monitoring
The NMS-AIoT is also ideal for environmental monitoring applications. It can integrate sensors for air quality, water leak detection, and other environmental parameters, providing real-time data for maintaining healthy and safe environments.
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