CN-121994927-A - Corrosion detection method and system for inner wall of water-cooled wall of boiler covered wall

CN121994927ACN 121994927 ACN121994927 ACN 121994927ACN-121994927-A

Abstract

The embodiment of the application provides a method and a system for detecting corrosion of the inner wall of a water-cooled wall of a boiler package wall, wherein the method comprises the steps of configuring detection parameters, controlling an execution device to position a sensing device to a calibration area, receiving and processing sensing data to establish a detection reference, sending a scanning instruction to the execution device based on the detection reference, controlling the sensing device to axially move along a pipeline, receiving collected ultrasonic signals in real time, processing and analyzing the received ultrasonic signals in real time, generating an analysis result, generating a detection report based on the analysis result, controlling the execution device to return to an initial position, and storing and archiving data. The embodiment of the application systematically solves the problems of poor reliability, low efficiency, dependence on manpower, difficult tracing and the like in the traditional detection, and realizes the transition from discretization, qualitative to systematic, intelligent and quantifiable direction of the boiler water wall corrosion detection.

Inventors

ZHOU HAO
PENG ZHIHUI
WANG JIA
SUN ZHONGKUI
SUN QI
LOU ZHENGJI
Sun Xiongbo
ZHANG XINGYU
XU BOWEI
MA JUN
LV RUIMING
LI WEI
CHEN SHENGGUANG
SUN SHAOQIANG
WANG LIANG
YU ZEXUAN
ZHANG LIN
WU LIANDONG
LIU LIMING

Assignees

天津华能杨柳青热电有限责任公司
西安热工研究院有限公司

Dates

Publication Date: 20260508
Application Date: 20251203

Claims (10)

1. The corrosion detection method for the inner wall of the water-cooled wall of the boiler package wall is characterized by comprising the following steps of: configuring detection parameters and controlling an execution device to position a sensing device to a calibration area, and receiving and processing sensing data to establish a detection reference; Based on the detection reference, a scanning instruction is issued to the execution equipment, the sensing equipment is controlled to axially move along the pipeline, and the acquired ultrasonic signals are received in real time; Processing and analyzing the received ultrasonic signals in real time, and generating analysis results; And generating a detection report based on the analysis result, controlling the execution equipment to return to the initial position, and storing and archiving data.
2. The method of claim 1, wherein the real-time processing and analysis of the received ultrasonic signals comprises: when the ultrasonic signal is identified as an abnormal signal, generating a rechecking instruction to control the execution equipment to perform fine rechecking and obtain rechecking data; Analyzing and processing the repeated mining data, performing defect classification and quantitative evaluation on the repeated mining data by adopting an intelligent recognition algorithm, and generating evaluation parameters; Calling a history record to perform trend analysis based on the condition that the evaluation parameter accords with the defect threshold value, and performing life prediction by combining the material parameter; And when the ultrasonic signal is identified as a non-abnormal signal or the evaluation parameter does not accord with a defect threshold value, maintaining the current running state.
3. The method of claim 2, wherein configuring the detection parameters and controlling the execution device to position the sensing device to the calibration area comprises: Receiving a detection parameter configuration instruction input by a user through a man-machine interaction interface for configuration; and generating a first control instruction according to the configuration instruction, wherein the first control instruction is used for controlling an execution device to drive the sensing device to move to a calibration area which is verified to be defect-free manually.
4. A method according to claim 3, wherein said receiving and processing the sensed data to establish a detection reference comprises: receiving background noise and the ultrasonic signal acquired by the sensing equipment in a calibration area; Processing the ultrasonic signals and calculating the average sound velocity and attenuation coefficient of the calibration area; And storing the average sound velocity and the attenuation coefficient as reference values, and generating a special detection template of the water wall pipe.
5. The method of claim 2, wherein the real-time processing and analysis of the received ultrasonic signals comprises: performing full focusing algorithm processing on the ultrasonic signals uploaded in real time, and generating a real-time ultrasonic image; And analyzing the signal-to-noise ratio change of the ultrasonic image, and judging the signal-to-noise ratio is an abnormal signal when the signal-to-noise ratio is reduced relative to the reference value and exceeds a set threshold value.
6. The method of claim 5, wherein generating the recheck instruction to control the execution device to perform a refined recheck and obtain the recheck data comprises: Generating a second control instruction containing the accurate coordinate position, wherein the second control instruction is used for controlling the execution equipment to reduce the scanning speed to the rechecking speed, withdraw to the upstream of the suspicious point and rescan; And controlling the sensing equipment to start a high-frequency sampling mode at the position of the suspicious point to perform signal acquisition for a plurality of times, wherein the position of the suspicious point is the position at which the abnormal signal is monitored.
7. The method of claim 2, wherein performing defect classification and quantitative evaluation on the re-mined data by using an intelligent recognition algorithm and generating evaluation parameters comprises: performing defect identification and classification on the repeated mining data after analysis processing by adopting a trained deep learning model; if the corrosion defect is identified, calculating the depth by adopting a time difference diffraction method; If the crack defects are identified, calculating the length and the height of the crack defects by adopting an end diffraction wave method; Otherwise, marking the repeated mining data as a defect-free or unrecognizable type, and generating a judging result.
8. The method of claim 2, wherein the invoking the history for trend analysis based on the evaluation parameter meeting a defect threshold comprises: calling a history detection record of the current pipe section from a history database; Calculating the change trend of the number or density of the defects in the unit area; When the change trend exceeds a set threshold, generating high-risk early warning information; And when the change trend does not exceed the set threshold value, generating the marking information of the stable state of the pipe section.
9. The method of claim 2, wherein the predicting a lifetime of the bonding material parameter comprises: based on the current size and the historical development trend of the defects, calculating the expansion rate of corrosion or cracks through a Paris formula; and inquiring a material performance parameter library, and generating a residual life prediction result of the current pipe section by combining the expansion rate.
10. The utility model provides a corrosion detection system of boiler package wall water-cooling wall inner wall which characterized in that includes: the detection reference construction module is used for configuring detection parameters and controlling the execution equipment to position the sensing equipment to the calibration area, and receiving and processing the sensing data to establish a detection reference; The ultrasonic signal acquisition module is used for issuing a scanning instruction to the execution equipment based on the detection reference, controlling the sensing equipment to axially move along the pipeline and receiving an acquired ultrasonic signal in real time; The analysis result generation module is used for carrying out real-time processing and analysis on the received ultrasonic signals and generating analysis results; and the detection report generation module is used for generating a detection report based on the analysis result, controlling the execution equipment to return to the initial position and storing and archiving data.

Description

Corrosion detection method and system for inner wall of water-cooled wall of boiler covered wall Technical Field The application relates to the technical field of boiler corrosion detection, in particular to a method and a system for detecting corrosion of the inner wall of a water cooling wall of a boiler package wall. Background The boiler is a core device of a thermal generator set, the water-cooled wall of the boiler is the most important heating surface of the boiler, the boiler is a part which is arranged around a hearth and on the inner wall of a tail flue and consists of a plurality of tubes which are closely arranged in parallel, high-temperature and high-pressure water or steam flows in the boiler, the outside of the boiler directly bears flame radiation and scouring of high-temperature flue gas, the boiler mainly acts to absorb heat, generate steam and protect the boiler wall, and the inner wall of the boiler is extremely easy to generate flow acceleration corrosion, hydrogen damage, microcracks and other defects due to the severe environment of high temperature, high pressure, corrosion and stress load for a long time, and the defects are the main reasons of boiler leakage, unplanned shutdown and even pipe explosion accidents. Generally, the detection of the inner wall of the water-cooled wall of the traditional boiler package wall mainly comprises the steps of entering the inside of a hearth through a manhole door after shutdown, visually inspecting the wall, observing whether the wall has macro defects of swelling, color change and cracks, or sampling and thickness measuring the wall by using a conventional single crystal ultrasonic thickness gauge to evaluate the corrosion thinning condition, and carrying out magnetic powder detection or penetration detection on a suspicious region to find surface cracks, or carrying out spot check on the internal defects by using conventional ultrasonic detection. However, during detection, after the machine set is stopped and cooled, personnel can enter the hearth to be inspected, the detection window period is short, the efficiency is low, because the hearth range is huge, only sampling inspection can be performed, tiny or not yet surfaced defects are easy to leak to detect, visual inspection and conventional UT depend on the experience of detection personnel seriously, accurate quantitative measurement and recording of parameters such as the depth of a corrosion pit, the length of a microcrack and the like are difficult to perform, and because accurate digital coordinate positioning and historical data comparison are lacking, scientific evaluation and prediction of the development rate of defects and the residual life of components are difficult to perform, and finally, safety risks exist in the hearth where the detection personnel need to enter high temperature and high dust. Based on this, a detection scheme for corrosion of the inner wall of the water wall of the boiler pack wall is needed to solve the above-mentioned technical problems. Disclosure of Invention The application provides a method and a system for detecting corrosion of the inner wall of a water-cooled wall of a boiler wall, 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 method for detecting corrosion of an inner wall of a water wall of a boiler packing wall, including: configuring detection parameters and controlling an execution device to position a sensing device to a calibration area, and receiving and processing sensing data to establish a detection reference; Based on the detection reference, a scanning instruction is issued to the execution equipment, the sensing equipment is controlled to axially move along the pipeline, and the acquired ultrasonic signals are received in real time; Processing and analyzing the received ultrasonic signals in real time, and generating analysis results; And generating a detection report based on the analysis result, controlling the execution equipment to return to the initial position, and storing and archiving data. In some embodiments, the processing and analyzing the received ultrasonic signal in real time includes: when the ultrasonic signal is identified as an abnormal signal, generating a rechecking instruction to control the execution equipment to perform fine rechecking and obtain rechecking data; Analyzing and processing the repeated mining data, performing defect classification and quantitative evaluation on the repeated mining data by adopting an intelligent recognition algorithm, and generating evaluation parameters; Calling a history record to perform trend analysis based on the condition that the evaluation parameter accords with the defect threshold value, and performing life prediction by combining the material parameter; And when the ultrasonic signal is identified as a non-abnormal signal or the evaluation parameter does not accor