Industrial Gas Flow IoT Control for Stable Hot Water Temperature
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Solution Overview
Problem
Industrial hot water systems face challenges such as high energy costs and temperature instability, particularly in meeting short-term fluctuations in demand effectively.
Innovation Solution
A smart gas Internet of Things (IoT) system is implemented for automatic control of industrial gas flow, which includes a method to obtain water valve adjustment history records, determine target temperature data tables, and adjust gas flow parameters based on current water valve data and target temperature data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Temperature
If a traditional gas water heater remotely controls a temperature setpoint, then temperature stability is improved, but energy costs increase and response to short-term demand fluctuations is slow
Solution Approach 1:
The system pre-calculates and stores optimal gas flow parameters in a target temperature data table based on historical water valve adjustment records. When the hot water supply device operates, the system directly retrieves pre-computed parameters rather than calculating in real-time, enabling rapid response to demand fluctuations without excessive energy consumption.
Solution Approach 2:
The system dynamically adjusts gas flow parameters based on real-time water valve data and historical patterns. The control approach transitions from static remote temperature setpoint control to dynamic adaptive control that responds to actual usage conditions, improving both temperature stability and energy efficiency.
2Temperature
If a traditional gas water heater remotely controls a temperature setpoint, then temperature stability is improved, but response time to demand fluctuations increases
Solution Approach 1:
The system pre-calculates optimal gas flow parameters for various water valve positions and stores them in a target temperature data table. This preliminary computation eliminates real-time calculation delays, enabling immediate response to water valve adjustments and demand fluctuations while maintaining temperature stability.
Solution Approach 2:
The system replaces traditional mechanical remote temperature control with an automated electronic control system that uses sensors, processors, and actuators. This substitution enables faster signal transmission and response to demand changes compared to manual or mechanical adjustment mechanisms.
3Loss of energy
If the system dynamically adjusts gas flow based on real-time and historical data, then energy efficiency is improved, but device complexity increases
Solution Approach 1:
The system automatically collects water valve adjustment data, analyzes usage patterns, and generates optimal control parameters without requiring external intervention. The hot water supply device self-regulates gas flow based on its own operational history and real-time conditions, reducing the need for complex external control infrastructure.
Solution Approach 2:
The system implements a feedback mechanism where water valve adjustment data is continuously collected and used to refine gas flow control. This closed-loop approach enables the system to learn from past operations and automatically optimize energy usage, balancing complexity with performance improvement.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system achieves stable temperature control while minimizing energy waste by dynamically adjusting gas flow according to real-time and historical data, thus optimizing energy usage and meeting demand fluctuations effectively.
Implementation Method 1
industrial gas flow...hot water supply device...temperature control
Implementation Method 2
gas flow parameter...temperature range...energy transfer from gas to water
Data Source
AI summary
Example embodiments of the present disclosure provide a method and a smart gas Internet of Things (IOT) system for automatic control of an industrial gas flow. The method may include: obtaining a water valve adjustment history record of an industrial user who uses a hot water supply device; determining a target temperature data table for the industrial user based on the water valve adjustment history record; obtaining current water valve data of the hot water supply device in response to determining that the industrial user uses the hot water supply device; and determining a gas flow parameter based on the current water valve data and the target temperature data table. The smart gas IoT system may include a smart gas user platform, a smart gas service platform, a smart gas device management platform, a smart gas sensing network platform, and a smart gas object platform.