IoT Cooling Water Control With Zoned Feedback Optimization
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Solution Overview
Problem
Existing control technologies for circulating cooling water equipment lack efficiency and quality, as they primarily perform overall control without effectively utilizing the large amount of generated data, leading to suboptimal operation stability.
Innovation Solution
An intelligent control system and method based on the Internet of Things, utilizing sensors to monitor and analyze data in real-time, divide areas, construct intelligent control models, and perform feedback optimization to ensure precise temperature, flow, and pressure control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If overall control is used for circulating cooling water equipment, then the control system is simple, but the control efficiency and quality are low
Solution Approach 1:
The patent segments the circulating cooling water area into multiple sub-areas based on equipment distribution and flow characteristics. Sensors are deployed at different locations to monitor temperature, flow, and pressure independently in each sub-area, enabling localized control strategies that improve overall control efficiency without requiring complete system redesign
Solution Approach 2:
The control system dynamically adjusts control parameters based on real-time monitoring data from multiple sensors. The system transitions from static overall control to dynamic localized control by continuously analyzing sensor data and adjusting control actions for different sub-areas according to their specific operational conditions
2Measurement precision
If real-time monitoring with sensors is implemented, then control precision is improved, but system complexity increases
Solution Approach 1:
The monitoring system is segmented into multiple sensor nodes distributed throughout the circulating cooling water system. Each sensor monitors specific parameters (temperature, flow, pressure) at its local position, and data is aggregated centrally for comprehensive analysis, enabling high measurement precision without requiring a single complex monitoring system
Solution Approach 2:
The patent employs multi-functional sensors that can measure multiple parameters (temperature, flow rate, pressure) simultaneously. This universal approach reduces the total number of sensors needed while maintaining comprehensive monitoring capability, thereby improving measurement precision without proportionally increasing system complexity
3Manufacturing precision
If data analysis is performed to divide circulating cooling water area, then control accuracy is improved, but data processing time increases
Solution Approach 1:
The system performs preliminary data processing by pre-establishing area division criteria and control parameter ranges for different sub-areas. When real-time data arrives, the system quickly matches current conditions against pre-defined thresholds and patterns, enabling accurate control decisions without extensive real-time computation
Solution Approach 2:
The patent implements selective data analysis by focusing computational resources on critical parameters and sub-areas that require immediate attention. Not all data points are processed with equal depth - the system identifies and prioritizes key control variables, achieving sufficient control accuracy while reducing overall data processing time
Data Source
AI summary
An intelligent control system and method for circulating cooling water based on Internet of Things is provided. The method includes: pre-deploying sensors, monitoring a circulating cooling water equipment in real time, obtaining circulating cooling water data and transmitting the data to an Internet of Things platform; performing data analysis, determining operation states, dividing a circulating cooling water area, determining current distribution data of circulating cooling water by combining data analysis results; obtaining control distribution data of circulating cooling water, constructing a circulating cooling water intelligent control model, outputting current control data of circulating cooling water according to a circulating cooling water intelligent control strategy and the current distribution data of circulating cooling water, and performing intelligently controlling on the circulating cooling water; and building a circulating cooling water control feedback mechanism, performing periodic feedback control optimization on circulating cooling water intelligent control.