Platform Product Introduction
The platform integrates IoT, big data, and cloud computing technologies to build a multi-source energy consumption monitoring system, covering building electricity (lighting, air conditioning, etc.), heating, water, gas, and other multi-energy category management. It enables real-time data collection, fault warning, sub- item energy consumption analysis, and cross-building energy efficiency comparison. Equipped with energy-saving diagnostic algorithms,it supports abnormal energy consumption identification and energy efficiency optimization strategy generation.
Core Functions
Energy Consumption Overview: A large screen dynamically displays the spatial and temporal distribution and periodic patterns of energy consumption, assisting managers in formulating energy-saving strategies.
Energy Consumption Analysis: Itemized statistics and cross-building benchmarking, covering 8 types of public building energy use scenarios, supporting refined management.
Energy Consumption Alerts: Real-time monitoring of energy consumption fluctuations, immediate alerts for anomalies, ensuring safe and controllable energy use.
Cost Analysis: Dual-dimensional evaluation of energy costs over the past two years (actual cost/kWh days), assisting in optimizing energy expenditure strategies.
Energy-saving Diagnosis: Algorithm-driven benchmarking of energy efficiency among similar buildings, generating optimization plans to improve energy efficiency.
Product Value
Refined Management: Enhance the precision of energy management in public buildings, driving improvements in energy efficiency and carbon reduction.
Energy-saving diagnosis: Assist managers in formulating scientific energy-saving plans through multi-dimensional data visualization, periodic pattern mining, and anomaly warning;
Decision support: Provide the government with regional energy consumption prfiles and policy-making basis to promote the implementation of energy-saving and emission reduction goals, supporting green and sustainable development.
Product Advantages
Accurate measurement: Achieve precise full-chain data measurement through IoT + big data + AI intelligence;
In-depth analysis: Combining cost per day model, benchmarking energy efficiency of similar buildings, and sub-item electricity statistics to enhance diagnostic granularity;
Scenario adaptation: Covering 8 types of buildings including office, commercial, and medical, supporting multi-level (individual building - campus) energy consumption supervision to meet differentiated management needs.
