Under the background of the "dual carbon" strategy, enterprises' demand for refined energy management is increasing day by day. The smart energy management platform is a key support for promoting the green and low-carbon transformation of enterprises. The AIRIOT Smart Energy Management Platform, relying on Internet of Things and edge computing technologies, builds an energy management system with all-round perception and real-time interconnection, helping enterprises achieve digitalization, visualization and controllability of the entire energy consumption process. This article will focus on the five technical dimensions of "data acquisition layer - data transmission layer - platform processing layer - application display layer - key implementation points" and practical cases to analyze in detail the key links of the AIRIOT smart energy management platform from the underlying devices to the high-level decision-making:

Data acquisition layer
Objective: To achieve real-time collection of all energy elements and build an all-domain perception network.

Key points of practical operation

Multi-source data integration
Energy measurement
Smart electricity meter (0.5S grade accuracy, sub-item measurement of lighting/power/air conditioning energy consumption)
Gas flowmeter (ultrasonic technology, ±0.5% error), steam flowmeter (vortex type);
Environmental parameters:
Temperature and humidity sensor (linked air conditioning energy consumption analysis)
Light sensor (Correlation modeling of natural lighting and lighting energy consumption)
Equipment status:
Photovoltaic inverter power generation efficiency, SOC/SOH of energy storage system;
Current harmonic monitoring of key equipment (identifying inefficient operating states).
Edge preprocessing
Data cleaning (sliding window filtering to eliminate instantaneous interference)
Timestamp alignment (NTP network time calibration, error <1ms);
Energy efficiency pre-calculation (real-time calculation of unit energy consumption of equipment at edge nodes).




2. Data Transport Layer
Objective: To ensure highly reliable and low-latency data transmission and support massive concurrent operations.

Key points of practical operation

Protocol and Architecture
Real-time data: MQTT protocol (QoS=2 to ensure critical data must be delivered);
Video stream: WebRTC protocol (real-time rendering of 3D view, latency <500ms);
Low-power devices: NB-IoT transmits distributed sensor data (average monthly traffic <50MB).
Security mechanism:
Data encryption: TLS 1.3 end-to-end encryption, sensitive operation SM4 national encryption algorithm;
Device authentication: Dual verification of digital certificate and dynamic token.
Network optimization
5G network slicing guarantees core data flows (such as energy storage control instructions);
Edge node caching (supports local basic analysis functions when the network is disconnected).