Coal Consumption Online Measuring System with Iterative Data Correction
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Solution Overview
Problem
Current coal consumption measurement methods are plagued by inaccuracies due to reliance on incomplete online data, complex calibration procedures, and human factors, leading to unstable and unverifiable results, especially when coal quality changes, and lack independent, real-time correction mechanisms.
Innovation Solution
A coal consumption online measuring system that includes a solid particle equivalent atomic number measuring device, a gas-solid two-phase flow rate measuring device, an ash content measuring device, a volatile content measuring device, and a moisture content measuring device, all connected to a data acquisition and processing unit for real-time data correction and calculation, eliminating the need for external data and reducing human interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional offline statistics method is used to measure coal consumption, then measurement simplicity is maintained, but measurement precision and timeliness deteriorate due to sampling delays and laboratory analysis time
Solution Approach 1:
The patent replaces traditional mechanical laboratory analysis methods with non-contact optical measurement technology. The online measuring system uses light interaction with coal powder to directly determine calorific value, volatile content, moisture content, and ash content in real-time, eliminating the need for physical sampling and laboratory processing while achieving both high precision and immediate results
Solution Approach 2:
The patent introduces an online measuring system as an intermediary between coal powder transport and consumption data collection. This intermediary system continuously measures coal characteristics in the transport pipeline, providing real-time data to the data processing device without interrupting the production flow, thus resolving the timing conflict between accurate measurement and production continuity
2Measurement precision
If coal quality parameters are not measured in real-time, then system complexity is reduced, but measurement precision deteriorates when coal quality changes
Solution Approach 1:
The patent designs a multi-functional online measuring system where a single integrated system performs multiple measurements simultaneously: calorific value, volatile content, moisture content, and ash content are all measured using optical methods in the same coal powder stream. This universal approach eliminates the need for separate measurement systems for each parameter, managing complexity through functional integration
Solution Approach 2:
The patent utilizes changes in optical parameters (light absorption, reflection, transmission) as coal quality parameters (calorific value, moisture, ash, volatility) change. By continuously monitoring these optical parameter variations, the system detects coal quality changes in real-time and adjusts measurements accordingly, maintaining precision without requiring physical re-sampling or system reconfiguration
3Reliability
If external production equipment data is used for coal consumption calculation, then measurement completeness appears improved, but reliability deteriorates due to human factors and data verification issues
Solution Approach 1:
The patent implements a self-service measurement system where the online measuring system independently collects all necessary data (calorific value, volatile content, moisture content, ash content, mass flow rate) directly from the coal powder stream itself. The system does not rely on external production equipment data or manual inputs, eliminating human factor interference while maintaining data completeness through direct physical measurement of all required parameters
Solution Approach 2:
The patent establishes a closed-loop feedback system where the data processing device continuously receives real-time measurement data from the online measuring system, calculates coal consumption, and can feed this information back to verify consistency with actual consumption patterns. This feedback mechanism ensures reliability through continuous validation while maintaining independence from external data sources
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
This system provides accurate, real-time, and independent coal consumption measurements, automatically adjusting for changes in coal quality, thereby enhancing the objectivity and accuracy of coal consumption data without requiring extensive field calibration.
Implementation Method 1
a radiation source device and a detection device... the radiation source device and the detection device are used for measuring a real-time density of the coal powder
Implementation Method 2
a gas-solid two-phase flow rate measuring device... comprising at least one set of microwave emitting unit and microwave receiving unit distributed on the coal transporting pipeline
Data Source
AI summary
The present application discloses a coal consumption online measuring system, which belongs to the field of analysis and measurement technology. The system includes an equivalent atomic number measuring device, a flow rate measuring device, an ash content measuring device, a volatile content measuring device, a moisture content measuring device and a data acquisition and processing device. The data acquisition and processing device iteratively corrects the measured real-time density, real-time ash content, real-time moisture content and/or real-time volatile content; and the data acquisition and processing device performs online calculation of the coal consumption according to a real-time volume flow rate and the iteratively-corrected real-time density, real-time ash content, real-time moisture content and real-time volatile content. The coal consumption online measuring system is an independent and complete working system which only uses the measured data from the coal consumption online measuring system itself to obtain the final required results.