Product Introduction
The Unified Network Balance Control System is designed for the characteristics of domestic centralized heating systems, utilizing AI control, expert algorithms, and curve control technologies to address hydraulic imbalance and uneven heating and cooling issues. Through intelligent linkage control of electric valves and circulation pumps, it significantly enhances energy-saving effects. The system integrates intelligent AI load forecasting algorithms, combines real- time weather data, and uses big data analysis and machine learning models to accurately predict heat load, optimize resource allocation, and guide production operation decisions.
Function Introduction
Operation Monitoring: Real-time monitoring of the entire heating network's operating status, including variance, imbalance degree, and control cycle.
Unified Network Control: Pre-set AI control algorithms, expert algorithms, temperature curve algorithms, time-sharing control, and time-sharing correction algorithms.
Load Forecasting: Based on heating network load forecasting and multi-source complementary algorithms, combined with weather changes, to guide production operation.
Operation Reports: Regularly generate daily operation reports and summary analysis reports for each heating season.
Product Value
Balanced Regulation: Significantly reduce pipeline network imbalance from 14% to within 1%.
Safe Production: Unified analysis, unified control, controllable regulation frequency and cycle, reducing pipeline network oscillations.
Energy Saving and Consumption Reduction: Adjust temperature in advance based on weather forecasts, smooth temperature change curve, extend heat source temperature adjustment time.
Labor Savings: Transform manual control into system automatic calculation, greatly saving the labor cost of dispatch personnel
Product Advantages
Unified Scheduling: Unified operation and control from the entire pipeline network, allocating control according to demand proportions to avoid pipeline network oscillations
Intelligent Algorithm: Compatible with smart AI algorithms, enabling autonomous optimization and learning
Demand-based regulation: combining terminal demand with source-end control
Operation monitoring: providing protection mechanism plans and strategies for heat source failures and abnormal supply temperatures.
