CN-121998313-A - Real-time adjustment method and system for intelligent coal blending and electronic equipment

CN121998313ACN 121998313 ACN121998313 ACN 121998313ACN-121998313-A

Abstract

The embodiment of the application discloses a real-time adjustment method, a system and electronic equipment for intelligent coal blending, wherein the method comprises the steps of collecting coal quality data, fly ash carbon content data and unit operation data of coal in a furnace in real time, generating a real-time data set, determining a combustion state index and an operation economy index based on the real-time data set, constructing a blending database in a stable working condition interval in which unit load fluctuation does not exceed a set threshold value, analyzing and matching a stable working condition sample which is stored in the blending database and accords with target economy based on the coal quality data, a target load plan and the blending database of a coal yard, storing the stable working condition sample in the blending database, determining a target coal combination, a target blending ratio and an expected economy index, and performing linkage matching on the current combustion state index and the operation economy index and the stable working condition sample to generate a corresponding blending ratio adjustment scheme, a coal type switching scheme or a wind coal ratio optimization scheme.

Inventors

Cai Tengbin
CHEN DUNYU
LIN JUNJIE
ZHANG ZHUOYUAN
FANG ZEXIN
LUO RUI
CHEN SHUNBAO
LV ZHAOMIN
WANG TING
TIAN CHEN
SHEN ZINAN

Assignees

华能(广东)能源开发有限公司汕头电厂
西安热工研究院有限公司
西安西热电站信息技术有限公司

Dates

Publication Date: 20260508
Application Date: 20251231

Claims (10)

1. The real-time adjustment method of intelligent coal blending is characterized by comprising the following steps of: Collecting coal quality data, fly ash carbon content data and unit operation data of the coal in the furnace in real time, and carrying out data synchronization processing, filtering processing, abnormal rejection processing and time alignment processing on the coal quality data, the fly ash carbon content data and the unit operation data of the coal in the furnace to generate a real-time data set; determining a coal feeding quantity parameter and a real-time blending combustion proportion based on the real-time data set, and calculating a combustion state index and an operation economy index based on the real-time data set; Constructing a blending combustion database in a stable working condition interval in which the load fluctuation of the unit does not exceed a set threshold, wherein the blending combustion database is used for periodically storing coal quality data of the coal entering the furnace, fly ash carbon content data, combustion state indexes, operation economy indexes, unit operation parameters and real-time blending combustion proportion, and is used for correlating coal quality, working conditions, combustion results and economic states; Analyzing and matching stable working condition samples which are stored in the blending combustion database and accord with target economy based on coal quality data, a target load plan and the blending combustion database, storing the stable working condition samples in the blending combustion database, and determining target coal combination, target blending combustion proportion and expected economy index; And monitoring the current combustion state in real time, carrying out linkage matching on a combustion state index corresponding to the current combustion state and a corresponding operation economy index with the stable working condition sample, and generating a corresponding blending combustion proportion adjustment scheme, a coal type switching scheme or a wind-coal ratio optimization scheme based on the linkage matching result exceeding a preset matching value.
2. The method of claim 1, wherein the real-time collection of coal quality data of the coal being charged comprises: Collecting coal quality data of the furnace coal in real time through a laser spectrum technology, wherein the coal quality data of the furnace coal comprise a heat value of the furnace coal, ash content of the furnace coal and volatile parameters of the furnace coal; Collecting the carbon content data of the fly ash in real time through spectrum analysis or a carbon analyzer; the unit operation data are collected in real time based on layered collection and plant-level monitoring information, and the unit operation data comprise unit load, wind-coal ratio, oxygen amount, hearth temperature and coal supply amount parameters; And calculating the real-time blending combustion proportion based on the coal feeding amount data of the unit operation data in the real-time data set.
3. The method of claim 1, wherein said calculating a combustion state indicator and an operating economy indicator based on said real-time data set comprises: Calculating the combustion state index based on coal quality data of the coal entering the furnace, the fly ash carbon content data and the unit operation data in the real-time data set, wherein the combustion state index comprises a hearth combustion stability coefficient, incomplete combustion loss, excessive air coefficient deviation degree and furnace temperature uniformity index; And calculating an operation economy index based on the unit operation data and the combustion state index in the real-time data set, wherein the operation economy index comprises boiler efficiency, standard coal consumption rate and electricity metering cost.
4. The method of claim 1, wherein the set threshold is 2% of the rated output of the unit, the method further comprising: when the load fluctuation of the unit does not exceed a set threshold value and other main operation conditions are stable, defining a current state interval as a stable working condition interval; the other main operation condition stability comprises that the fluctuation range of the wind-coal ratio, the oxygen amount and the hearth temperature does not exceed the corresponding target threshold value.
5. The method of claim 1, wherein the analyzing and matching stable condition samples stored in the blending database that meet a target economy based on the coal quality data, the target load plan, and the blending database, determining a target coal combination, a target blending ratio, and an expected economy index comprises: Based on the coal quality data of the coal yard, the stock information of the coal yard, the target load plan and the clear result of the electric power market, and the blended combustion database, analyzing and determining a stable working condition sample which accords with the target economy and is stored in the blended combustion database through similarity matching or machine learning modeling, for determining a target coal combination, a target blended combustion proportion and an expected economy index, Wherein the expected economic indicators include expected boiler efficiency and combustion risk cues.
6. The method of claim 1, wherein generating a corresponding blending ratio adjustment scheme, coal type switching scheme, or wind-coal ratio optimization scheme when the result based on the linkage matching exceeds a preset matching value, comprises: Triggering and generating a corresponding blending combustion proportion adjustment scheme, a coal type switching scheme or a wind-coal ratio optimization scheme based on the linkage matching when the combustion state exceeds the limit, the carbon content of fly ash is continuously increased or the boiler efficiency is lower than the historical similar working conditions.
7. The method of claim 1, wherein the blending ratio adjustment regimen comprises a likelihood of a sudden change in coal quality or a likelihood of an abnormality in equipment.
8. An intelligent real-time adjustment system for blending coal, comprising: The data acquisition and preprocessing module is used for acquiring coal quality data of the coal entering the furnace, fly ash carbon content data and unit operation data in real time, and carrying out data synchronization processing, filtering processing, abnormal rejection processing and time alignment processing on the coal quality data of the coal entering the furnace, the fly ash carbon content data and the unit operation data to generate a real-time data set; The multi-index determining module is used for determining a coal feeding quantity parameter and a real-time blending combustion proportion based on the real-time data set, and calculating a combustion state index and an operation economy index based on the real-time data set; The blending combustion database construction module is used for constructing a blending combustion database in a stable working condition interval in which the load fluctuation of the unit does not exceed a set threshold value, wherein the blending combustion database is used for periodically storing coal quality data of the coal entering the furnace, carbon content data of fly ash, combustion state indexes, operation economy indexes, unit operation parameters and real-time blending combustion proportion, and is used for correlating coal quality, working condition, combustion result and economic state; The stable working condition sample matching module is used for analyzing and matching stable working condition samples which are stored in the blending database and accord with target economy based on coal quality data of a coal yard, a target load plan and the blending database, storing the stable working condition samples in the blending database and determining target coal type combination, target blending proportion and expected economy index; And the real-time adjustment switching module is used for monitoring the current combustion state in real time, carrying out linkage matching on the combustion state index corresponding to the current combustion state and the corresponding operation economical index with the stable working condition sample, and generating a corresponding blending combustion proportion adjustment scheme, a coal type switching scheme or a wind-coal proportion optimization scheme based on the linkage matching result exceeding a preset matching value.
9. An electronic device comprising at least one processor, and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to cause the electronic device to perform a method of real-time adjustment of intelligent blending of coal as claimed in any one of claims 1 to 7.
10. A computer readable storage medium having stored thereon a computer program, characterized in that the computer program, when executed by a processor, implements a method for real-time adjustment of intelligent blending according to any of claims 1 to 7.

Description

Real-time adjustment method and system for intelligent coal blending and electronic equipment Technical Field The application relates to the technical field of combustion monitoring and intelligent fuel management of a thermal power plant, in particular to a real-time adjustment method and system for intelligent coal blending and electronic equipment. Background Along with the continuous promotion of deep peak shaving and flexibility transformation of the thermal power generating unit, the quality fluctuation of the fire coal is frequent, the blending combustion combination is more diversified, and the combustion stability and economy of the boiler face more challenges. The traditional coal blending and burning strategy mainly depends on experience judgment, lacks unified analysis on coal quality, fly ash carbon content and multisource operation data, and is difficult to reflect combustion state changes in time, so that the problems of reduced boiler efficiency, increased coal consumption, fluctuation of emission indexes and the like are caused. In recent years, the coal laser spectrum detection technology and the fly ash carbon content online monitoring technology (such as LIBS) are rapidly developed, and high-frequency and high-precision coal and combustion carbon residue data are provided for the combustion process. However, the prior art generally uses the monitoring data for local analysis, such as coal quality discrimination or fly ash furnace efficiency evaluation, lacks a method for carrying out fusion modeling on coal quality, fly ash carbon content and running state indexes, and also lacks a blended combustion database constructed based on historical stable working conditions for guiding a pre-running coal blending strategy and real-time optimization in running. Therefore, an intelligent coal blending and blending adjustment scheme which can integrate the coal quality on-line monitoring data, the fly ash carbon content on-line monitoring data and the unit operation data is urgently needed to be used for realizing quantitative judgment of the combustion state and intelligent prompt of the coal blending deviation so as to improve the unit combustion efficiency and economy. Disclosure of Invention The application provides a real-time adjustment method and system for intelligent coal blending and electronic equipment, which are used for solving the defects in the prior art. According to a first aspect of an embodiment of the present application, there is provided a real-time adjustment method for intelligent coal blending, including: Collecting coal quality data, fly ash carbon content data and unit operation data of the coal in the furnace in real time, and carrying out data synchronization processing, filtering processing, abnormal rejection processing and time alignment processing on the coal quality data, the fly ash carbon content data and the unit operation data of the coal in the furnace to generate a real-time data set; determining a coal feeding quantity parameter and a real-time blending combustion proportion based on the real-time data set, and calculating a combustion state index and an operation economy index based on the real-time data set; Constructing a blending combustion database in a stable working condition interval in which the load fluctuation of the unit does not exceed a set threshold, wherein the blending combustion database is used for periodically storing coal quality data of the coal entering the furnace, fly ash carbon content data, combustion state indexes, operation economy indexes, unit operation parameters and real-time blending combustion proportion, and is used for correlating coal quality, working conditions, combustion results and economic states; Analyzing and matching stable working condition samples which are stored in the blending combustion database and accord with target economy based on coal quality data, a target load plan and the blending combustion database, storing the stable working condition samples in the blending combustion database, and determining target coal combination, target blending combustion proportion and expected economy index; And monitoring the current combustion state in real time, carrying out linkage matching on a combustion state index corresponding to the current combustion state and a corresponding operation economy index with the stable working condition sample, and generating a corresponding blending combustion proportion adjustment scheme, a coal type switching scheme or a wind-coal ratio optimization scheme based on the linkage matching result exceeding a preset matching value. In some embodiments, the real-time collection of coal quality data of the coal being charged comprises: Collecting coal quality data of the furnace coal in real time through a laser spectrum technology, wherein the coal quality data of the furnace coal comprise a heat value of the furnace coal, ash content of the furnace coal and volatile parameters of t