Intermediate 4G/5G IoT devices

Edge Computing Servers

Edge computing servers are deployed within local HVAC control rooms to provide robust computing power and essential software support for various intelligent building systems. These servers enable real-time data processing and decision-making at the source, enhancing responsiveness and system efficiency.

Cabinet Systems

Standardized cabinets (6U–42U) offer ventilation, dust protection, and containment capacity for integrated components. These include digital meters, multi-host control units, and other essential products, ensuring organized and secure housing for building automation hardware.

Multipoint Control Unit (MCU)

The MCU collects operational data from central air-conditioning chillers and facilitates automatic energy-saving actions. It evaluates cooling and heating demand using data processed through the carbon and energy-saving cloud platform, supported by edge computing infrastructure.

LoRa-WAN Data Transmission Terminals

Sensor data is transmitted via the LoRa protocol and relayed to the energy-saving cloud using 4G/5G IoT connectivity. This ensures reliable, low-power, long-range communication across building systems for continuous monitoring and optimization.

Infrastructure Information Hub

Infrastructure

Efficient Data Centers

High-Density Server Configurations：By leveraging cutting-edge server and storage technologies, including solid-state drives (SSDs) and next-generation processors, our data centers deliver exceptional processing power within a compact physical footprint.

Modularity and Scalability：Designed with modular architecture, our facilities allow seamless expansion and upgrades. Resources can be dynamically scaled based on demand, ensuring optimal performance and cost-efficiency.

Robust Security and Backup Systems：We implement multi-layered security protocols—spanning physical access controls, network protection, and advanced data encryption—to safeguard data integrity. Comprehensive backup and disaster recovery strategies ensure business continuity and protection against system failures or data loss.

Standard Equipment

High-Performance Data Processing Clusters

Powerful and Scalable Processing：Our data center servers collaborate seamlessly with edge computing nodes to manage data collection, storage, and analysis across multiple simultaneous projects. This geographically unrestricted parallelism enables clusters to rapidly break down and execute complex analytical tasks, significantly reducing processing time and accelerating feedback loops.

Efficient Data Distribution and Storage：By utilizing distributed file systems such as Hadoop Distributed File System (HDFS), data is intelligently spread across multiple drives and nodes. This enhances fault tolerance, improves accessibility, and supports high-throughput data access for demanding workloads.

Advanced Analytics and Algorithm Integration：We offer integrated access to a robust suite of analytics tools and algorithm libraries—including Apache Spark, TensorFlow, and PyTorch. These resources empower our partners to perform sophisticated data operations such as statistical analysis, predictive modeling, and machine learning with speed and precision.

Virtualization Technology

Containerized Production

Consistency and Portability：Unified, pre-trained digital models are deployed across containerized environments to support diverse projects across regions and formats. Containers maintain a consistent runtime environment and manage underlying dependencies, while clearly separating development, testing, and production stages. By running directly on the host kernel, containers eliminate the overhead of additional system layers, enabling rapid deployment and supporting streamlined CI/CD workflows.

Flexible Scaling and Automation：The lightweight nature of containers makes them ideal for dynamic scaling. As demand increases, additional containers can be launched instantly to balance the load; when demand decreases, resources are scaled down just as efficiently. This elasticity ensures optimal resource utilization and supports automated orchestration for high-performance environments.

Isolation and Security：Containers provide process-level isolation, ensuring secure separation between applications and services. Security is further enhanced through fine-grained control over permissions and network access. With a microservices architecture, applications are decomposed into modular, single-function services that can be independently deployed, scaled, and updated—improving maintainability and simplifying lifecycle management.

Messaging Platform

Distributed Event Streaming

High Throughput for Real-Time Applications：Our infrastructure supports the processing of hundreds of thousands of messages per second, enabling efficient handling of log collection, system monitoring, and event streaming. With millisecond-level latency, the system is optimized for real-time applications that demand rapid responsiveness and low delay.

Persistent and Reliable Architecture：Data durability and fault tolerance are ensured through disk-based storage and multi-node replication. Even in the event of node failure, data recovery is seamless via replica nodes. The system is designed to maintain continuous operation despite component-level disruptions, ensuring high availability and resilience.

Long-Term, Scalable Data Storage： Each monitoring point retains data for over two years, with a minimum of 10GB of reserved space per point. The platform supports multiple levels of data consistency—ranging from “at least once” to “exactly once” semantics—allowing users to select the appropriate reliability model based on their specific application needs.

SmartWatts AI