Fluid Distribution System with Automated Node-Based Pressure Balancing
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Solution Overview
Problem
Existing fluid distribution systems face challenges in maintaining balanced line pressure loss and achieving high efficiency energy transfer, as they often require manual adjustments and pinpoint settings for pressure values and pump speeds, which can lead to inefficiencies and increased energy consumption.
Innovation Solution
A fluid distribution system with a network of node units connected by an electronic communications network, which automatically adjusts valve positions and pump speeds based on real-time information to maintain balanced flow and line pressure loss without specific pressure or pump speed settings, using a loop control process to achieve dynamic and incremental adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual adjustments and pinpoint settings for pressure values and pump speeds are used, then system control is achieved, but energy consumption increases and efficiency decreases
Solution Approach 1:
The system uses distributed intelligence where each node unit autonomously monitors local flow conditions and automatically adjusts its own valve position and pump speed without requiring manual intervention or centralized control, enabling the system to self-optimize for energy efficiency
Solution Approach 2:
The system transitions from static pinpoint settings to dynamic continuous adjustment, where valve positions and pump speeds are constantly optimized based on real-time flow conditions, allowing the system to adapt and maintain optimal energy efficiency under varying operating conditions
2Reliability
If manual adjustments are required for pressure balancing, then system setup is possible, but time consumption and operational complexity increase
Solution Approach 1:
Each node unit continuously monitors local flow conditions and uses this feedback to automatically adjust valve positions and pump speeds, maintaining pressure balancing without requiring manual measurement or adjustment, thereby eliminating time loss while ensuring reliable pressure balance
Solution Approach 2:
The system replaces manual mechanical adjustment processes with automated electronic control and distributed intelligence, where microprocessors at each node unit calculate and execute the precise adjustments needed for pressure balancing, eliminating the time-consuming manual tuning process
3Ease of operation
If fixed pressure values are set at pressure controllers, then system operation is simplified, but adaptability to changing flow conditions is reduced
Solution Approach 1:
The system replaces fixed static pressure settings with dynamic continuous adjustment, where each node unit constantly monitors local flow conditions and automatically modifies valve positions and pump speeds to maintain optimal operation, providing both ease of operation and full adaptability to changing conditions
Solution Approach 2:
The system dynamically changes operating parameters (valve position, pump speed, pressure settings) based on real-time flow conditions rather than maintaining fixed values, allowing the system to automatically adapt to varying demand while remaining easy to operate
4Ease of operation
If automated control is implemented, then manual adjustments are eliminated, but system complexity increases
Solution Approach 1:
The system divides control functions into independent distributed node units, each handling local monitoring and adjustment autonomously, which eliminates the need for complex centralized control systems while achieving full automation through simple modular components
Solution Approach 2:
Each node unit independently performs all control functions locally without requiring complex external control systems, using onboard microprocessors to autonomously monitor conditions and adjust parameters, thereby achieving automation through simple self-sufficient modules rather than complex centralized control
Data Source
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AI summary
The present invention is a fluid distribution system comprising connected conduits (e.g., lines) wherein fluid flows, such as pipes within a building. The lines may be configured to: (i) include multiple lines that connect at intersections (some of the intersections will be identified as nodes); and (ii) incorporate node units associated with line pressure loss simulation assemblies ("LLSAs"). Activities of a node unit incorporating a LLSA can result in alterations in fluid pressure, such as by a loop control process to reposition balancing valves or other valves of one or more LLSAs, and/or by alteration of the speed of the system pump. These activities adjust fluid pressure to cause the system to produce a balanced and high efficiency energy transfer (e.g., heating or cooling), and do not involve or require any identification or use of any specific, fixed or absolute pressure value. They function based on an operation locus (for a node unit) and/or an operation locus range (for node unit groupings) to adjust the fluid pressure.