Digital Twin Pump Regulation for Energy Efficiency
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Solution Overview
Problem
China's pump systems experience inefficient operation and high energy consumption due to suboptimal design and lack of intelligent condition regulation, leading to energy waste and reduced reliability.
Innovation Solution
A digital twin-based pump machine unit optimized operation regulation system that uses machine learning and optimization algorithms to simulate and adjust operating conditions, optimizing energy efficiency and equipment health monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If traditional pump control methods are used, then the system is simple to operate, but energy consumption is high and operating efficiency is low
Solution Approach 1:
The patent creates a digital twin (virtual copy) of the pump system that mirrors the physical pump's operating conditions, performance characteristics, and environmental parameters. This digital model enables simulation and optimization of control strategies without requiring physical experimentation, thereby reducing energy consumption while maintaining manageable system complexity through virtual testing and validation.
Solution Approach 2:
The system performs preliminary simulation and optimization of control strategies in the digital twin environment before implementing them on the actual pump. By pre-evaluating multiple control scenarios virtually, the system identifies energy-efficient operating modes in advance, avoiding trial-and-error adjustments on the physical system and reducing overall energy consumption.
2Adaptability or versatility
If pump operation parameters are fixed, then the control system is simple, but the pump cannot adapt to changing demand conditions and operates inefficiently
Solution Approach 1:
The patent implements dynamic control by continuously adjusting pump operation parameters based on real-time demand conditions. The digital twin model simulates various operating scenarios and determines optimal parameter settings dynamically, allowing the pump system to adapt to changing requirements while maintaining reasonable control complexity through automated decision-making algorithms.
Solution Approach 2:
The system establishes a feedback loop where operating data from the physical pump is continuously monitored and fed into the digital twin model. The digital twin analyzes this feedback information, compares actual performance with optimal performance, and generates adjustment recommendations that are applied to the physical system, enabling continuous adaptation to changing conditions.
3Loss of energy
If the pump operates away from optimal working conditions, then the system is easier to operate under varying demands, but energy waste increases and pump life decreases
Solution Approach 1:
The patent optimizes pump operation by dynamically adjusting key parameters such as speed, valve opening, and operating point based on real-time conditions. The digital twin model calculates optimal parameter combinations that keep the pump operating near its efficiency curve, minimizing energy waste while maintaining ease of operation under varying demands through automated parameter optimization.
Data Source
AI summary
A pump machine unit optimized operation regulation system is provided, and includes a physical body, a digital twin, a digital twin body of the physical body and a digital space. The digital space drives the digital twin to realize data mirroring, mapping reconstruction, information interactive feedback and simulation of a pump machine unit optimized regulation system in virtual space and a pump machine unit optimized regulation system in physical space. The disclosure constructs the virtual twin body of the physical body of the pump system based on the digital twin to realize the data mirror and information interaction between the physical body and the virtual twin body, and physical object twin, operation process twin and control performance twin of the physical entity and digital twin body. Running state monitoring, optimized regulation, simulation and health prediction of the pump machine unit can be realized.