Portable heat exchange tube detection device

Abstract

The invention provides a portable heat exchange tube detection device, which relates to the technical field of heat exchange tube detection devices and comprises a data detection processing module, a processing value determination module, a heat exchange tube risk assessment module and a heat exchange tube maintenance prediction module. Full-process monitoring and evaluation of the operation state of the heat exchange tube are realized through cooperation of multiple modules, multi-dimensional original data are synchronously acquired and preprocessed to improve accuracy, a risk matrix is constructed based on a model to quantitatively evaluate dust deposition, leakage and corrosion risks and perform real-time early warning, a maintenance necessity degree value is predicted in combination with historical data, a scientific basis is provided for maintenance, and the maintenance efficiency is improved. The detection efficiency and reliability are improved; and the maintenance cost is reduced.

Description

Technical Field

[0001] The invention belongs to the technical field of heat exchange tube detection devices, and particularly relates to a portable heat exchange tube detection device. Background Art

[0002] As the core component for heat transfer in the industrial field, heat exchange tubes are widely used in many key fields such as chemical industry, electric power, and metallurgy. Their operating status is directly related to the energy efficiency, safety, and stability of the entire system. Due to being in a complex fluid environment for a long time, heat exchange tubes are prone to performance degradation or even functional failure due to dust accumulation, medium leakage, corrosion, and other problems. At the very least, this leads to reduced heat exchange efficiency and increased energy consumption. At worst, it may cause safety accidents such as equipment shutdown and medium leakage. Therefore, real-time monitoring, accurate assessment, and forward-looking maintenance prediction of the dust accumulation, leakage risk, and corrosion status of heat exchange tubes are of vital importance to ensure the safe and reliable operation of industrial systems, reduce maintenance costs, and improve production efficiency. However, the heat exchange tube detection devices in the existing technology generally have the following technical problems: First, the detection process lacks systematicness and full-process coverage, and it is difficult to achieve full-chain automated processing from raw data collection, preprocessing to risk assessment and maintenance prediction, resulting in low detection efficiency and insufficient information consistency; second, the data collection and processing means are single, and can only detect a single type of parameter (such as a single corrosive gas concentration or a single physical signal), and cannot integrate multi-dimensional data such as ultrasonic echo, electromagnetic signal, sound intensity, multi-component corrosive gas concentration for collaborative analysis, and lack threshold segmentation, feature extraction, and concentration of raw data. Pre-processing mechanisms such as calibration result in low data accuracy and reliability. Thirdly, the risk assessment process relies on manual experience or simple threshold comparison, lacks a quantitative assessment model based on historical data training, and cannot build a structured assessment matrix that includes time dimensions and multiple risk types. It is difficult to achieve dynamic quantitative analysis and real-time early warning of dust accumulation, leakage, and corrosion risks. Fourthly, maintenance decisions lack scientific predictive basis and can only be passively arranged based on equipment failure history or regular maintenance plans. Future maintenance needs cannot be predicted through historical risk assessment data, which can easily lead to excessive or delayed maintenance, increasing maintenance costs and failing to effectively prevent potential failures. Summary of the Invention

[0003] The present invention provides a portable heat exchange tube detection device to solve at least one of the above-mentioned technical problems.

[0004] In order to solve the above technical problems, the present invention discloses a portable heat exchange tube detection device, comprising: The data detection and processing module is used to collect the original operation data of the heat exchange tube at each moment in the monitoring period and pre-process the original operation data of the heat exchange tube at each moment in the monitoring period; A processing value determination module is used to obtain a processing value of the dust accumulation degree, the leakage degree and the corrosion degree of the heat exchange tube at each moment based on the original operation data of the heat exchange tube at each moment after preprocessing; The heat exchange tube risk assessment module is used to construct a heat exchange tube risk assessment matrix based on the heat exchange tube dust accumulation degree processing value, heat exchange tube leakage degree processing value, heat exchange tube corrosion degree processing value and the trained heat exchange tube performance assessment model at each moment in the monitoring period, obtain the heat exchange tube dust accumulation risk assessment value, heat exchange tube leakage risk assessment value and heat exchange tube corrosion risk assessment value for the corresponding monitoring period, compare the heat exchange tube dust accumulation risk assessment value, heat exchange tube leakage risk assessment value and heat exchange tube corrosion risk assessment value for the monitoring period with the preset values, and issue corresponding risk warning prompts based on the comparison results; The heat exchange tube maintenance prediction module is used to calculate the necessity degree of heat exchange tube maintenance in the corresponding monitoring period based on the heat exchange tube dust accumulation risk assessment value, heat exchange tube leakage risk assessment value and heat exchange tube corrosion risk assessment value of several monitoring periods, construct a heat exchange tube maintenance prediction matrix, and predict the necessity degree of heat exchange tube maintenance in the next monitoring period based on the heat exchange tube maintenance prediction matrix, and provide overall heat exchange tube maintenance prompts.

[0005] Preferably, the data detection processing module includes: The data acquisition submodule is used to collect the original operating data of the heat exchange tube at each moment during the monitoring period. The original operating data includes the ultrasonic echo signal of the heat exchange tube at each moment during the monitoring period, the electromagnetic signal on the surface of the heat exchange tube, the leakage sound intensity and the corrosive gas concentration; The data processing submodule is used to pre-process the original operating data of the heat exchange tube at each moment in the monitoring period to obtain the dust accumulation area of ​​the heat exchange tube at each moment in the monitoring period. , leakage sound intensity characteristic value , eddy current leakage characteristic value , eddy current corrosion characteristic value and CO, and Corrosive gas calibration concentration 、 and .

[0006] Preferably, the data acquisition submodule includes: Ultrasonic acquisition submodule, used to collect ultrasonic echo signals inside the heat exchange tube in real time; The eddy current acquisition submodule is used to collect electromagnetic signals on the surface of the heat exchange tube in real time based on the eddy current probe; The leakage sound acquisition submodule is used to collect the sound intensity of heat exchange tube leakage in real time based on the ultrasonic leak detector; The corrosion gas collection submodule is used to collect CO, and Corrosive gas concentration.

[0007] Preferably, the data processing submodule includes: Ultrasonic signal analysis unit, used to perform threshold segmentation and edge detection on ultrasonic echo signals to obtain the dust accumulation area of ​​the heat exchange tube at each moment during the monitoring period ; The signal feature extraction unit is used to separate and extract the electromagnetic signals on the surface of the heat exchange tube at each moment in the monitoring period, and obtain the eddy current leakage characteristic value of the heat exchange tube at each moment in the monitoring period. , eddy current corrosion characteristic value , used to extract the characteristics of the heat exchange tube leakage sound intensity at each moment in the monitoring period, and obtain the characteristic value of the heat exchange tube leakage sound intensity at each moment in the monitoring period ; Concentration calibration unit is used to calibrate the concentration of CO around the heat exchange tube at each moment during the monitoring period. and The concentration of corrosive gas is calibrated to obtain the CO, and Corrosive gas calibration concentration 、 and .

[0008] Preferably, the processing value determination module includes: The heat exchange tube dust accumulation degree processing value determination unit is used to determine the dust accumulation area of ​​the heat exchange tube at each moment during the monitoring period. , calculate the dust accumulation degree treatment value of the heat exchange tube at each moment during the monitoring period; The heat exchange tube leakage degree processing value determination unit is used to determine the leakage sound intensity characteristic value of the heat exchange tube at each moment during the monitoring period. and eddy current leakage characteristic value , calculate the heat exchange tube leakage degree processing value at each moment during the monitoring period; Heat exchange tube corrosion degree processing value determination unit, used to determine the eddy current corrosion characteristic value of the heat exchange tube at each moment in the monitoring period and CO around the heat exchange tubes, and Corrosive gas calibration concentration 、 and , calculate the treatment value of the heat exchange tube corrosion degree at each moment during the monitoring period.

[0009] Preferably, based on the dust accumulation area of ​​the heat exchange tube at each moment during the monitoring period , calculate the dust accumulation level of the heat exchange tube at each moment during the monitoring period: ;in, is the dust accumulation degree processing value of the heat exchange tube at the jth moment in the i-th monitoring cycle, is the dust accumulation area error compensation coefficient, is the total area of ​​the heat exchange tube, e is a natural number and its value is 2.71; Based on the characteristic value of the leakage sound intensity of the heat exchange tube at each moment during the monitoring period and eddy current leakage characteristic value , calculate the heat exchange tube leakage processing value at each moment during the monitoring period: ;in, is the heat exchange tube leakage processing value at the jth moment in the i-th monitoring cycle, is the comprehensive error compensation coefficient of the leakage sound intensity characteristic value and the eddy current leakage characteristic value, It is the no-leakage reference value of the heat exchange tube; Based on the eddy current corrosion characteristic value of the heat exchange tube at each moment during the monitoring period and CO around the heat exchange tubes, and Corrosive gas calibration concentration 、 and , calculate the heat exchange tube corrosion degree treatment value at each moment during the monitoring period: ;in, is the heat pipe corrosion degree processing value at the jth moment in the i-th monitoring cycle, They are CO, and Error compensation coefficient for the calibration concentration of corrosive gas, 、 、 and They are heat exchange tube CO, and Corrosive gas concentration and heat exchange tube corrosion benchmark value.

[0010] Preferably, the heat exchange tube risk assessment module includes: The performance evaluation value acquisition submodule is used to input the processed values ​​of the dust accumulation degree, leakage degree, and corrosion degree of the heat exchange tubes at each moment in the monitoring period into the trained heat exchange tube performance evaluation model to obtain the dust accumulation degree, leakage degree, and corrosion degree evaluation values ​​of the heat exchange tubes during the monitoring period. The heat exchange tube risk assessment matrix construction submodule is used to construct a heat exchange tube risk assessment matrix based on the heat exchange tube dust accumulation degree processing value, heat exchange tube leakage degree processing value, heat exchange tube corrosion degree processing value at each moment in the monitoring period and the heat exchange tube dust accumulation degree assessment value, heat exchange tube leakage degree assessment value, and heat exchange tube corrosion degree assessment value during the monitoring period; The risk assessment value acquisition submodule is used to obtain the heat exchange tube dust accumulation risk assessment value, heat exchange tube leakage risk assessment value and heat exchange tube corrosion risk assessment value for the corresponding monitoring period based on the heat exchange tube risk assessment matrix; The early warning prompt module is used to compare the heat exchange tube dust accumulation risk assessment value, heat exchange tube leakage risk assessment value and heat exchange tube corrosion risk assessment value of the monitoring period with the heat exchange tube dust accumulation preset risk assessment value, heat exchange tube leakage preset risk assessment value and heat exchange tube corrosion preset risk assessment value respectively. If the risk is greater than the preset value, a corresponding risk early warning prompt will be issued.

[0011] Preferably, the heat exchange tube risk assessment matrix construction submodule constructs a heat exchange tube risk assessment matrix: ;in, is the heat exchange tube risk assessment matrix for the i-th monitoring cycle, It represents the evaluation value of heat pipe dust accumulation at the jth moment in the i-th monitoring cycle, It represents the leakage evaluation value of the heat exchange tube at the jth moment in the i-th monitoring cycle, It represents the evaluation value of the corrosion degree of the heat exchange tube at the jth moment in the i-th monitoring cycle, is the dust accumulation degree processing value of the heat exchange tube at the jth moment in the i-th monitoring cycle, is the heat exchange tube leakage processing value at the jth moment in the i-th monitoring cycle, is the heat pipe corrosion degree processing value at the jth moment in the i-th monitoring cycle, where the value range of j is 1-n; Delete the elements related to the dust accumulation degree in the heat exchange tube risk assessment matrix to obtain a new matrix 1. The product of the rank of the new matrix 1 and the mean of the dust accumulation degree assessment values ​​of all heat pipes in the heat exchange tube risk assessment matrix is ​​used as the heat exchange tube dust accumulation risk assessment value for the i-th monitoring period. Delete the elements related to the leakage degree in the heat exchange tube risk assessment matrix to obtain a new matrix 2. The product of the rank of the new matrix 2 and the mean of the leakage degree assessment values ​​of all heat exchange tubes in the heat exchange tube risk assessment matrix is ​​used as the heat exchange tube leakage risk assessment value of the i-th monitoring cycle; Delete the elements related to the corrosion degree in the heat exchange tube risk assessment matrix to obtain a new matrix three. The product of the rank of the new matrix three and the mean of all the heat exchange tube corrosion degree assessment values ​​in the heat exchange tube risk assessment matrix is ​​used as the heat exchange tube corrosion risk assessment value in the i-th monitoring cycle.

[0012] Preferably, the heat exchange tube maintenance prediction module includes: The maintenance necessity calculation submodule is used to calculate the maintenance necessity of the heat exchange tubes in the corresponding monitoring period based on the dust accumulation risk assessment value, leakage risk assessment value and corrosion risk assessment value of the heat exchange tubes in several monitoring periods: ;in, is the necessity value of heat exchange tube maintenance in the i-th monitoring cycle, is the logarithm to base e, 、 and are the weights of dust accumulation, leakage and corrosion respectively, 、 and are the risk assessment value of heat exchange tube dust accumulation, the risk assessment value of heat exchange tube leakage and the risk assessment value of heat exchange tube corrosion in the i-th monitoring cycle, respectively. 、 and They are the benchmark values ​​corresponding to the heat exchange tube dust accumulation risk assessment value, heat exchange tube leakage risk assessment value and heat exchange tube corrosion risk assessment value respectively; The heat exchange tube maintenance prediction matrix construction sub-module is used to construct a heat exchange tube maintenance prediction matrix based on the heat exchange tube maintenance necessity degree value of each monitoring cycle, predict the heat exchange tube maintenance necessity degree value of the next monitoring cycle based on the heat exchange tube maintenance prediction matrix, and provide overall heat exchange tube maintenance prompts.

[0013] Optimally, the heat exchange tube maintenance prediction matrix is: ;in, is the heat exchange tube maintenance prediction matrix corresponding to the i-th monitoring period. The elements of the second row of the heat exchange tube maintenance prediction matrix except the last element are all the right extreme values ​​of the elements at the corresponding positions. The element corresponding to the first row of the heat exchange tube maintenance prediction matrix at this position is taken as the element at the corresponding position. The difference between the element to the right of the element and the element at the corresponding position is taken as the right extreme value at the corresponding position. The elements of the third row of the heat exchange tube maintenance prediction matrix except the first element are all the left extreme values ​​of the elements at the corresponding positions. The element corresponding to the first row of the heat exchange tube maintenance prediction matrix at this position is taken as the element at the corresponding position. The difference between the element to the left of the element and the element at the corresponding position is taken as the left extreme value at the corresponding position. No. Necessity level of heat exchange tube maintenance per monitoring cycle: Obtain the mean of all matrix elements in any row except the first row in the heat exchange tube maintenance prediction matrix corresponding to the end of the i-th monitoring cycle, and set the value of the last column in the heat exchange tube maintenance prediction matrix corresponding to the end of the i-th monitoring cycle to a value equal to the mean, thereby obtaining a new matrix, and take the product of the rank of the new matrix and the degree of necessity of the heat exchange tube maintenance in the i-th monitoring cycle as the rank of the new matrix. Necessity level of heat exchange tube maintenance in each monitoring cycle; When When the necessity level of heat exchange tube maintenance in a monitoring cycle is greater than the preset value, a prompt for overall heat exchange tube maintenance will be issued.

[0014] Compared with the prior art, the present invention has the following beneficial effects: The present invention constructs a full-process automated detection system covering raw data collection, preprocessing, multi-dimensional risk assessment and forward-looking maintenance prediction through the coordinated operation of the data detection and processing module, the processing value determination module, the heat exchange tube risk assessment module and the heat exchange tube maintenance prediction module, which solves the problem of insufficient systematicness of the detection process in the existing technology and significantly improves the detection efficiency and information consistency. The data detection and processing module realizes the synchronous collection of multi-dimensional raw data such as ultrasonic echo signals, electromagnetic signals, leakage sound intensity, and corrosion gas concentration through the coordination of multiple units such as the ultrasonic acquisition submodule and the eddy current acquisition submodule, and effectively improves the accuracy and reliability of the data through preprocessing mechanisms such as threshold segmentation, edge detection, feature extraction, and concentration calibration, solving the technical bottleneck of the single data collection and processing means in the existing technology. The heat exchange tube risk assessment module uses The trained heat exchanger performance evaluation model dynamically analyzes the dust accumulation, leakage, and corrosion degree treatment values ​​after pretreatment, and constructs a heat exchanger risk assessment matrix that includes time dimensions and multiple risk types. Through matrix operations, it realizes quantitative evaluation of dust accumulation, leakage, and corrosion risks, and compares them with preset values ​​for real-time early warning. It changes the traditional evaluation method that relies on manual experience or simple threshold comparison, and realizes dynamic quantitative analysis and timely early warning of risks. The heat exchanger maintenance prediction module is based on the risk assessment values ​​of several monitoring cycles. By constructing a heat exchanger maintenance prediction matrix and combining it with a mathematical model, it predicts the degree of maintenance necessity in the next monitoring cycle, providing a scientific and forward-looking basis for heat exchanger maintenance, avoiding the passive maintenance mode based on fault history or regular plan, effectively solving the problem of excessive or delayed maintenance, reducing maintenance costs and improving the reliability of equipment operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 This is a schematic diagram of the portable heat exchange tube detection device of the present invention. DETAILED DESCRIPTION

[0016] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0017] In addition, in the present invention, descriptions such as "first" and "second" are only used for descriptive purposes, and do not specifically refer to the order or sequence, nor are they used to limit the present invention. They are only used to distinguish components or operations described with the same technical terms, and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one such feature. In addition, the technical solutions and technical features between the various embodiments can be combined with each other, but this must be based on the ability of ordinary technicians in this field to implement. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0018] The present invention provides the following embodiments Example 1 The embodiment of the present invention provides a portable heat exchange tube detection device, such as Figure 1 Shown, including: The data detection and processing module is used to collect the original operation data of the heat exchange tube at each moment in the monitoring period and pre-process the original operation data of the heat exchange tube at each moment in the monitoring period; A processing value determination module is used to obtain a processing value of the dust accumulation degree, the leakage degree and the corrosion degree of the heat exchange tube at each moment based on the original operation data of the heat exchange tube at each moment after preprocessing; The heat exchange tube risk assessment module is used to construct a heat exchange tube risk assessment matrix based on the heat exchange tube dust accumulation degree processing value, heat exchange tube leakage degree processing value, heat exchange tube corrosion degree processing value and the trained heat exchange tube performance assessment model at each moment in the monitoring period, obtain the heat exchange tube dust accumulation risk assessment value, heat exchange tube leakage risk assessment value and heat exchange tube corrosion risk assessment value for the corresponding monitoring period, compare the heat exchange tube dust accumulation risk assessment value, heat exchange tube leakage risk assessment value and heat exchange tube corrosion risk assessment value for the monitoring period with the preset values, and issue corresponding risk warning prompts based on the comparison results; The heat exchange tube maintenance prediction module is used to calculate the necessity degree of heat exchange tube maintenance in the corresponding monitoring period based on the heat exchange tube dust accumulation risk assessment value, heat exchange tube leakage risk assessment value and heat exchange tube corrosion risk assessment value of several monitoring periods, construct a heat exchange tube maintenance prediction matrix, and predict the necessity degree of heat exchange tube maintenance in the next monitoring period based on the heat exchange tube maintenance prediction matrix, and provide overall heat exchange tube maintenance prompts.

[0019] The working principle and beneficial effects of the above technical solution are as follows: during operation, the data detection and processing module collects the original operating data of the heat exchange tube at each moment in the monitoring cycle and performs preprocessing. The processing value determination module obtains the processing value of the dust accumulation, leakage, and corrosion degree of the heat exchange tube at each moment based on the preprocessed data. The heat exchange tube risk assessment module uses the processing value and the trained model to construct a risk assessment matrix, obtains each risk assessment value and compares it with the preset value to provide early warning prompts. The heat exchange tube maintenance prediction module calculates the degree of maintenance necessity based on the risk assessment values ​​of several monitoring cycles, constructs a prediction matrix and predicts the value of the next cycle to prompt maintenance. The present invention constructs a full-process automated detection system covering raw data collection, preprocessing, multi-dimensional risk assessment and forward-looking maintenance prediction through the coordinated operation of the data detection and processing module, the processing value determination module, the heat exchange tube risk assessment module and the heat exchange tube maintenance prediction module, which solves the problem of insufficient systematicness of the detection process in the existing technology and significantly improves the detection efficiency and information consistency. The data detection and processing module realizes the synchronous collection of multi-dimensional raw data such as ultrasonic echo signals, electromagnetic signals, leakage sound intensity, and corrosion gas concentration through the coordination of multiple units such as the ultrasonic acquisition submodule and the eddy current acquisition submodule, and effectively improves the accuracy and reliability of the data through preprocessing mechanisms such as threshold segmentation, edge detection, feature extraction, and concentration calibration, solving the technical bottleneck of the single data collection and processing means in the existing technology. The heat exchange tube risk assessment module uses The trained heat exchanger performance evaluation model dynamically analyzes the dust accumulation, leakage, and corrosion treatment values ​​after pretreatment, and constructs a heat exchanger risk assessment matrix that includes time dimensions and multiple risk types. Through matrix operations, it realizes quantitative assessment of dust accumulation, leakage, and corrosion risks, and compares them with preset values ​​for real-time warning. This changes the traditional evaluation method that relies on manual experience or simple threshold comparison, and realizes dynamic quantitative analysis and timely warning of risks. The heat exchanger maintenance prediction module is based on the risk assessment values ​​of several monitoring cycles. By constructing a heat exchanger maintenance prediction matrix and combining it with a mathematical model, it predicts the degree of maintenance necessity in the next monitoring cycle, providing a scientific and forward-looking basis for heat exchanger maintenance, avoiding the passive maintenance mode based on fault history or regular plan, effectively solving the problem of excessive or delayed maintenance, reducing maintenance costs and improving the reliability of equipment operation. The present invention realizes the full-process monitoring and evaluation of the operating status of heat exchange tubes through multi-module collaboration, synchronously collects multi-dimensional raw data and preprocesses it to improve accuracy, builds a risk matrix based on the model to quantitatively evaluate the risks of dust accumulation, leakage, and corrosion and issue real-time warnings, and combines historical data to predict the degree of necessity for maintenance, providing a scientific basis for maintenance, improving detection efficiency and reliability and reducing maintenance costs.

[0020] Example 2 Based on Example 1, the data detection processing module includes: The data acquisition submodule is used to collect the original operating data of the heat exchange tube at each moment during the monitoring period. The original operating data includes the ultrasonic echo signal of the heat exchange tube at each moment during the monitoring period, the electromagnetic signal on the surface of the heat exchange tube, the leakage sound intensity and the corrosive gas concentration; The data processing submodule is used to pre-process the original operating data of the heat exchange tube at each moment in the monitoring period to obtain the dust accumulation area of ​​the heat exchange tube at each moment in the monitoring period. , leakage sound intensity characteristic value , eddy current leakage characteristic value , eddy current corrosion characteristic value and CO, and Corrosive gas calibration concentration 、 and ; The data acquisition submodule includes: Ultrasonic acquisition submodule, used to collect ultrasonic echo signals inside the heat exchange tube in real time; The eddy current acquisition submodule is used to collect electromagnetic signals on the surface of the heat exchange tube in real time based on the eddy current probe; The leakage sound acquisition submodule is used to collect the sound intensity of heat exchange tube leakage in real time based on the ultrasonic leak detector; The corrosion gas collection submodule is used to collect CO, and Corrosive gas concentration; The data processing submodules include: Ultrasonic signal analysis unit, used to perform threshold segmentation and edge detection on ultrasonic echo signals to obtain the dust accumulation area of ​​the heat exchange tube at each moment during the monitoring period ; The signal feature extraction unit is used to separate and extract the electromagnetic signals on the surface of the heat exchange tube at each moment in the monitoring period, and obtain the eddy current leakage characteristic value of the heat exchange tube at each moment in the monitoring period. , eddy current corrosion characteristic value , used to extract the characteristics of the heat exchange tube leakage sound intensity at each moment in the monitoring period, and obtain the characteristic value of the heat exchange tube leakage sound intensity at each moment in the monitoring period ; Concentration calibration unit is used to calibrate the concentration of CO around the heat exchange tube at each moment during the monitoring period. and The concentration of corrosive gas is calibrated to obtain the CO, and Corrosive gas calibration concentration 、 and .

[0021] The working principle and beneficial effects of the above technical solution are as follows: the data acquisition submodule in the data detection and processing module collects original operating data such as the ultrasonic echo signal inside the heat exchange tube, the surface electromagnetic signal, the leakage sound intensity, and the surrounding corrosion gas concentration in real time through the ultrasonic acquisition submodule, the eddy current acquisition submodule, the leakage sound acquisition submodule, and the corrosion gas acquisition submodule. The data processing submodule preprocesses these original data, obtains the area of ​​the dust accumulation area through threshold segmentation and edge detection of the ultrasonic signal analysis unit, extracts features of the electromagnetic signal and the leakage sound intensity through the signal feature extraction unit to obtain the eddy current leakage feature value, the eddy current corrosion feature value, and the leakage sound intensity feature value, and calibrates the corrosion gas concentration through the concentration calibration unit to obtain the calibration concentration. The present invention adopts a multi-technology fusion approach to collect a variety of original operating data, ensuring the comprehensiveness of the data. The ultrasonic acquisition submodule collects internal echo signals in real time, the eddy current acquisition submodule collects surface electromagnetic signals based on eddy current probes, the leakage sound acquisition submodule uses an ultrasonic leak detector to collect leakage sound intensity, and the corrosion gas acquisition submodule collects the surrounding corrosion gas concentration in real time. The data processing submodule effectively improves the accuracy and reliability of the data through preprocessing methods such as threshold segmentation, edge detection, feature extraction and concentration calibration, providing accurate basic data for subsequent evaluation of dust accumulation, leakage and corrosion degree, so that the detection device can more accurately reflect the actual operating status of the heat exchange tube.

[0022] Example 3 Based on Example 2, the processing value determination module includes: The heat exchange tube dust accumulation degree processing value determination unit is used to determine the dust accumulation area of ​​the heat exchange tube at each moment during the monitoring period. , calculate the dust accumulation degree treatment value of the heat exchange tube at each moment during the monitoring period; The heat exchange tube leakage degree processing value determination unit is used to determine the leakage sound intensity characteristic value of the heat exchange tube at each moment during the monitoring period. and eddy current leakage characteristic value , calculate the heat exchange tube leakage degree processing value at each moment during the monitoring period; Heat exchange tube corrosion degree processing value determination unit, used to determine the eddy current corrosion characteristic value of the heat exchange tube at each moment in the monitoring period and CO around the heat exchange tubes, and Corrosive gas calibration concentration 、 and , calculate the treatment value of heat exchange tube corrosion degree at each moment during the monitoring period; Based on the dust accumulation area of ​​the heat exchange tube at each moment during the monitoring period , calculate the dust accumulation level of the heat exchange tube at each moment during the monitoring period: ;in, is the dust accumulation degree processing value of the heat exchange tube at the jth moment in the i-th monitoring cycle, is the dust accumulation area error compensation coefficient, is the total area of ​​the heat exchange tube, e is a natural number and its value is 2.71; Based on the characteristic value of the leakage sound intensity of the heat exchange tube at each moment during the monitoring period and eddy current leakage characteristic value , calculate the heat exchange tube leakage processing value at each moment during the monitoring period: ;in, is the heat exchange tube leakage processing value at the jth moment in the i-th monitoring cycle, is the comprehensive error compensation coefficient of the leakage sound intensity characteristic value and the eddy current leakage characteristic value, It is the no-leakage reference value of the heat exchange tube; Based on the eddy current corrosion characteristic value of the heat exchange tube at each moment during the monitoring period and CO around the heat exchange tubes, and Corrosive gas calibration concentration 、 and , calculate the heat exchange tube corrosion degree treatment value at each moment during the monitoring period: ;in, is the heat pipe corrosion degree processing value at the jth moment in the i-th monitoring cycle, They are CO, and Error compensation coefficient for the calibration concentration of corrosive gas, 、 、 and They are heat exchange tube CO, and Corrosive gas concentration and heat exchange tube corrosion benchmark value.

[0023] The working principle and beneficial effects of the above technical solution are as follows: the present invention quantitatively calculates the degree of dust accumulation, leakage, and corrosion through specific formulas. The dust accumulation processing value formula uses the ratio of the dust accumulation area to the total area of ​​the heat exchange tube, amplifies the influence of the dust accumulation area on the result through an exponential function, and corrects the data error in combination with the error compensation coefficient. The leakage processing value formula comprehensively integrates the leakage sound intensity characteristic value and the eddy current leakage characteristic value, and uses the ratio of the sum of the two to the no-leakage baseline value. The exponential function is also used to highlight the influence of the leakage characteristics, and the coefficient compensates for the comprehensive error. The corrosion processing value formula integrates the eddy current corrosion characteristic value and the calibration concentration of multiple corrosive gases. The ratio of each parameter to the corresponding baseline value is added, calculated through an exponential function, and multiplied by the error compensation coefficient of each gas, realizing a multi-factor comprehensive assessment of the corrosion degree. These formulas all combine the comparison of actual detection parameters with the baseline value, and improve the accuracy of the calculation through the error compensation coefficient, so that the processing value can more realistically reflect the degree of damage to the heat exchange tube in all aspects, providing a reliable quantitative basis for subsequent risk assessment.

[0024] Example 4 Based on Example 2, the heat exchange tube risk assessment module includes: The performance evaluation value acquisition submodule is used to input the processed values ​​of the dust accumulation degree, leakage degree, and corrosion degree of the heat exchange tubes at each moment in the monitoring period into the trained heat exchange tube performance evaluation model to obtain the dust accumulation degree, leakage degree, and corrosion degree evaluation values ​​of the heat exchange tubes during the monitoring period. The heat exchange tube risk assessment matrix construction submodule is used to construct a heat exchange tube risk assessment matrix based on the heat exchange tube dust accumulation degree processing value, heat exchange tube leakage degree processing value, heat exchange tube corrosion degree processing value at each moment in the monitoring period and the heat exchange tube dust accumulation degree assessment value, heat exchange tube leakage degree assessment value, and heat exchange tube corrosion degree assessment value during the monitoring period; The risk assessment value acquisition submodule is used to obtain the heat exchange tube dust accumulation risk assessment value, heat exchange tube leakage risk assessment value and heat exchange tube corrosion risk assessment value for the corresponding monitoring period based on the heat exchange tube risk assessment matrix; The early warning prompt module is used to compare the heat exchange tube dust accumulation risk assessment value, heat exchange tube leakage risk assessment value and heat exchange tube corrosion risk assessment value of the monitoring period with the heat exchange tube dust accumulation preset risk assessment value, heat exchange tube leakage preset risk assessment value and heat exchange tube corrosion preset risk assessment value respectively. If the risk is greater than the preset value, a corresponding risk early warning prompt will be issued.

[0025] The working principle and beneficial effects of the above technical solution are as follows: the performance evaluation value acquisition submodule in the heat exchange tube risk assessment module inputs the dust accumulation, leakage, and corrosion degree processing values ​​at each moment into the trained heat exchange tube performance assessment model to obtain dust accumulation, leakage, and corrosion degree evaluation values. The heat exchange tube risk assessment matrix construction submodule constructs a risk assessment matrix based on the processing values ​​and evaluation values. The risk assessment value acquisition submodule obtains each risk assessment value through matrix operation. The early warning prompt module compares each risk assessment value with a preset value and issues an early warning prompt if the risk assessment value is greater than the preset value. The present invention uses a trained heat exchange tube performance evaluation model to analyze the processing value, thereby improving the scientificity and accuracy of the evaluation. By constructing a heat exchange tube risk assessment matrix, the processing value and evaluation value at each moment are structured and integrated, and the dimensions of time and different damage types are comprehensively considered. The risk assessment value acquisition submodule separates the dust accumulation, leakage, and corrosion risk assessment values ​​through matrix operations, thereby realizing a quantitative assessment of each risk. The early warning prompt module can promptly detect risks that exceed the safety range and issue early warnings by comparing with preset values, so that operators can take timely measures to avoid the expansion of risks and ensure the safe operation of the heat exchange tube. This multi-step, multi-dimensional evaluation and early warning mechanism improves the reliability and practicality of the detection device.

[0026] Example 5 Based on Example 4, the heat exchange tube risk assessment matrix construction submodule constructs a heat exchange tube risk assessment matrix: ;in, is the heat exchange tube risk assessment matrix for the i-th monitoring cycle, It represents the evaluation value of heat pipe dust accumulation at the jth moment in the i-th monitoring cycle, It represents the leakage evaluation value of the heat exchange tube at the jth moment in the i-th monitoring cycle, It represents the evaluation value of the corrosion degree of the heat exchange tube at the jth moment in the i-th monitoring cycle, is the dust accumulation degree processing value of the heat exchange tube at the jth moment in the i-th monitoring cycle, is the heat exchange tube leakage processing value at the jth moment in the i-th monitoring cycle, is the heat pipe corrosion degree processing value at the jth moment in the i-th monitoring cycle, where the value range of j is 1-n; Delete the elements related to the dust accumulation degree in the heat exchange tube risk assessment matrix to obtain a new matrix 1. The product of the rank of the new matrix 1 and the mean of the dust accumulation degree assessment values ​​of all heat pipes in the heat exchange tube risk assessment matrix is ​​used as the heat exchange tube dust accumulation risk assessment value for the i-th monitoring period. Delete the elements related to the leakage degree in the heat exchange tube risk assessment matrix to obtain a new matrix 2. The product of the rank of the new matrix 2 and the mean of the leakage degree assessment values ​​of all heat exchange tubes in the heat exchange tube risk assessment matrix is ​​used as the heat exchange tube leakage risk assessment value of the i-th monitoring cycle; Delete the elements related to the corrosion degree in the heat exchange tube risk assessment matrix to obtain a new matrix three. The product of the rank of the new matrix three and the mean of all the heat exchange tube corrosion degree assessment values ​​in the heat exchange tube risk assessment matrix is ​​used as the heat exchange tube corrosion risk assessment value in the i-th monitoring cycle.

[0027] The working principle and beneficial effects of the above technical solution are as follows: the risk assessment matrix constructed by the heat exchange tube risk assessment matrix construction submodule is i Contains the dust accumulation, leakage, and corrosion degree assessment values ​​and treatment values ​​at each moment. By deleting the elements related to the dust accumulation degree in the matrix, a new matrix 1 is obtained. The rank of the new matrix 1 and the mean of all dust accumulation degree assessment values ​​are calculated as the dust accumulation risk assessment value. Similarly, by deleting the elements related to the leakage and corrosion degrees, new matrices 2 and 3 are obtained respectively. The product of their ranks and the mean of the corresponding assessment values ​​is calculated as the leakage and corrosion risk assessment values; The present invention realizes comprehensive recording and analysis of the operating status of heat exchange tubes by constructing a risk assessment matrix containing multi-dimensional data. By deleting elements related to specific risks to separate other risk factors, the calculation of each risk assessment value is based only on data of the corresponding type, thereby improving the pertinence and accuracy of the assessment. The rank of the matrix is ​​used to reflect the linear correlation and data structure of the matrix, and combined with the mean of the corresponding assessment value, a structured risk quantification method is formed. This method can effectively utilize the mathematical properties of matrix operations to reduce the dimensionality and analyze complex monitoring data, ensuring that each risk assessment value can reasonably reflect the actual risk level of the heat exchange tube in terms of dust accumulation, leakage, and corrosion, providing a scientific and reliable basis for risk warning.

[0028] Example 6 Based on Example 1, the heat exchange tube maintenance prediction module includes: The maintenance necessity calculation submodule is used to calculate the maintenance necessity of the heat exchange tubes in the corresponding monitoring period based on the dust accumulation risk assessment value, leakage risk assessment value and corrosion risk assessment value of the heat exchange tubes in several monitoring periods: ;in, is the necessity value of heat exchange tube maintenance in the i-th monitoring cycle, is the logarithm to base e, 、 and are the weights of dust accumulation, leakage and corrosion respectively, 、 and are the risk assessment value of heat exchange tube dust accumulation, the risk assessment value of heat exchange tube leakage and the risk assessment value of heat exchange tube corrosion in the i-th monitoring cycle, respectively. 、 and They are the benchmark values ​​corresponding to the heat exchange tube dust accumulation risk assessment value, heat exchange tube leakage risk assessment value and heat exchange tube corrosion risk assessment value respectively; The heat exchange tube maintenance prediction matrix construction submodule is used to construct a heat exchange tube maintenance prediction matrix based on the heat exchange tube maintenance necessity degree value of each monitoring cycle, predict the heat exchange tube maintenance necessity degree value of the next monitoring cycle based on the heat exchange tube maintenance prediction matrix, and provide overall heat exchange tube maintenance prompts; Heat exchange tube maintenance prediction matrix: ;in, is the heat exchange tube maintenance prediction matrix corresponding to the i-th monitoring period. The elements of the second row of the heat exchange tube maintenance prediction matrix except the last element are all the right extreme values ​​of the elements at the corresponding positions. The element corresponding to the first row of the heat exchange tube maintenance prediction matrix at this position is taken as the element at the corresponding position. The difference between the element to the right of the element and the element at the corresponding position is taken as the right extreme value at the corresponding position. The elements of the third row of the heat exchange tube maintenance prediction matrix except the first element are all the left extreme values ​​of the elements at the corresponding positions. The element corresponding to the first row of the heat exchange tube maintenance prediction matrix at this position is taken as the element at the corresponding position. The difference between the element to the left of the element and the element at the corresponding position is taken as the left extreme value at the corresponding position. No. Necessity level of heat exchange tube maintenance per monitoring cycle: Obtain the mean of all matrix elements in any row except the first row in the heat exchange tube maintenance prediction matrix corresponding to the end of the i-th monitoring cycle, and set the value of the last column in the heat exchange tube maintenance prediction matrix corresponding to the end of the i-th monitoring cycle to a value equal to the mean, thereby obtaining a new matrix, and take the product of the rank of the new matrix and the degree of necessity of the heat exchange tube maintenance in the i-th monitoring cycle as the rank of the new matrix. Necessity level of heat exchange tube maintenance in each monitoring cycle; When When the necessity level of heat exchange tube maintenance in a monitoring cycle is greater than the preset value, a prompt for overall heat exchange tube maintenance will be issued.

[0029] The working principle and beneficial effects of the above technical solution are as follows: the maintenance necessity degree value formula of the present invention uses a logarithmic function to perform weighted summation on the ratio of each risk assessment value to the benchmark value. The characteristics of the logarithmic function can smooth data fluctuations. At the same time, the risk weights can be adjusted according to actual needs to reflect the importance differences of different risks. The constructed prediction matrix ψ iIt not only includes the degree of maintenance necessity value of each cycle, but also reflects the trend change through the difference between the previous and next values, and uses the mean and rank in matrix operations to predict the value of the next cycle. It fully considers the changing trend of historical data and the correlation between data, and can more accurately predict future maintenance needs. When the predicted value is greater than the preset value, an overall maintenance prompt will be given, which will help to plan maintenance plans in advance, avoid excessive maintenance or untimely maintenance, reduce maintenance costs, and improve equipment operation efficiency. This prediction method based on multi-cycle data and mathematical models enhances the scientific nature and foresight of the detection device in maintenance decision-making.

[0030] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A portable heat exchange tube detection device, characterized in that: include: The data detection and processing module is used to collect the original operation data of the heat exchange tube at each moment in the monitoring period and pre-process the original operation data of the heat exchange tube at each moment in the monitoring period; A processing value determination module is used to obtain a processing value of the dust accumulation degree, the leakage degree and the corrosion degree of the heat exchange tube at each moment based on the original operation data of the heat exchange tube at each moment after preprocessing; The heat exchange tube risk assessment module is used to construct a heat exchange tube risk assessment matrix based on the heat exchange tube dust accumulation degree processing value, heat exchange tube leakage degree processing value, heat exchange tube corrosion degree processing value and the trained heat exchange tube performance assessment model at each moment in the monitoring period, obtain the heat exchange tube dust accumulation risk assessment value, heat exchange tube leakage risk assessment value and heat exchange tube corrosion risk assessment value for the corresponding monitoring period, compare the heat exchange tube dust accumulation risk assessment value, heat exchange tube leakage risk assessment value and heat exchange tube corrosion risk assessment value for the monitoring period with the preset values, and issue corresponding risk warning prompts based on the comparison results; The heat exchange tube maintenance prediction module is used to calculate the necessity degree of heat exchange tube maintenance in the corresponding monitoring period based on the heat exchange tube dust accumulation risk assessment value, heat exchange tube leakage risk assessment value and heat exchange tube corrosion risk assessment value of several monitoring periods, construct a heat exchange tube maintenance prediction matrix, and predict the necessity degree of heat exchange tube maintenance in the next monitoring period based on the heat exchange tube maintenance prediction matrix, and provide overall heat exchange tube maintenance prompts.

2. A portable heat exchange tube detection device according to claim 1, characterized in that: The data detection processing module includes: The data acquisition submodule is used to collect the original operating data of the heat exchange tube at each moment during the monitoring period. The original operating data includes the ultrasonic echo signal of the heat exchange tube at each moment during the monitoring period, the electromagnetic signal on the surface of the heat exchange tube, the leakage sound intensity and the corrosive gas concentration; The data processing submodule is used to pre-process the original operating data of the heat exchange tube at each moment in the monitoring period to obtain the dust accumulation area of ​​the heat exchange tube at each moment in the monitoring period. , leakage sound intensity characteristic value , eddy current leakage characteristic value , eddy current corrosion characteristic value and CO, and Corrosive gas calibration concentration 、 and .

3. The portable heat exchange tube detection device according to claim 2, characterized in that: The data acquisition submodule includes: Ultrasonic acquisition submodule, used to collect ultrasonic echo signals inside the heat exchange tube in real time; The eddy current acquisition submodule is used to collect electromagnetic signals on the surface of the heat exchange tube in real time based on the eddy current probe; The leakage sound acquisition submodule is used to collect the sound intensity of heat exchange tube leakage in real time based on the ultrasonic leak detector; The corrosion gas collection submodule is used to collect CO, and Corrosive gas concentration.

4. The portable heat exchange tube detection device according to claim 2, characterized in that: The data processing submodule includes: Ultrasonic signal analysis unit, used to perform threshold segmentation and edge detection on ultrasonic echo signals to obtain the dust accumulation area of ​​the heat exchange tube at each moment during the monitoring period ; The signal feature extraction unit is used to separate and extract the electromagnetic signals on the surface of the heat exchange tube at each moment in the monitoring period, and obtain the eddy current leakage characteristic value of the heat exchange tube at each moment in the monitoring period. , eddy current corrosion characteristic value , used to extract the characteristics of the heat exchange tube leakage sound intensity at each moment in the monitoring period, and obtain the characteristic value of the heat exchange tube leakage sound intensity at each moment in the monitoring period ; Concentration calibration unit is used to calibrate the concentration of CO around the heat exchange tube at each moment during the monitoring period. and The concentration of corrosive gas is calibrated to obtain the CO, and Corrosive gas calibration concentration 、 and .

5. The portable heat exchange tube detection device according to claim 2, characterized in that: The processing value determination module includes: The heat exchange tube dust accumulation degree processing value determination unit is used to determine the dust accumulation area of ​​the heat exchange tube at each moment during the monitoring period. , calculate the dust accumulation degree treatment value of the heat exchange tube at each moment during the monitoring period; The heat exchange tube leakage degree processing value determination unit is used to determine the leakage sound intensity characteristic value of the heat exchange tube at each moment during the monitoring period. and eddy current leakage characteristic value , calculate the heat exchange tube leakage degree processing value at each moment during the monitoring period; Heat exchange tube corrosion degree processing value determination unit, used to determine the eddy current corrosion characteristic value of the heat exchange tube at each moment in the monitoring period and CO around the heat exchange tubes, and Corrosive gas calibration concentration 、 and , calculate the treatment value of the heat exchange tube corrosion degree at each moment during the monitoring period.

6. The portable heat exchange tube detection device according to claim 5, characterized in that: Based on the dust accumulation area of ​​the heat exchange tube at each moment during the monitoring period , calculate the dust accumulation level of the heat exchange tube at each moment during the monitoring period: ;in, is the dust accumulation degree processing value of the heat exchange tube at the jth moment in the i-th monitoring cycle, is the dust accumulation area error compensation coefficient, is the total area of ​​the heat exchange tube, e is a natural number and its value is 2.71; Based on the characteristic value of the leakage sound intensity of the heat exchange tube at each moment during the monitoring period and eddy current leakage characteristic value , calculate the heat exchange tube leakage processing value at each moment during the monitoring period: ;in, is the heat exchange tube leakage processing value at the jth moment in the i-th monitoring cycle, is the comprehensive error compensation coefficient of the leakage sound intensity characteristic value and the eddy current leakage characteristic value, It is the no-leakage reference value of the heat exchange tube; Based on the eddy current corrosion characteristic value of the heat exchange tube at each moment during the monitoring period and CO around the heat exchange tubes, and Corrosive gas calibration concentration 、 and , calculate the heat exchange tube corrosion degree treatment value at each moment during the monitoring period: ;in, is the heat pipe corrosion degree processing value at the jth moment in the i-th monitoring cycle, They are CO, and Error compensation coefficient for the calibration concentration of corrosive gas, 、 、 and They are heat exchange tube CO, and Corrosive gas concentration and heat exchange tube corrosion benchmark value.

7. The portable heat exchange tube detection device according to claim 2, characterized in that: The heat exchange tube risk assessment module includes: The performance evaluation value acquisition submodule is used to input the processed values ​​of the dust accumulation degree, leakage degree, and corrosion degree of the heat exchange tubes at each moment in the monitoring period into the trained heat exchange tube performance evaluation model to obtain the dust accumulation degree, leakage degree, and corrosion degree evaluation values ​​of the heat exchange tubes during the monitoring period. The heat exchange tube risk assessment matrix construction submodule is used to construct a heat exchange tube risk assessment matrix based on the heat exchange tube dust accumulation degree processing value, heat exchange tube leakage degree processing value, heat exchange tube corrosion degree processing value at each moment in the monitoring period and the heat exchange tube dust accumulation degree assessment value, heat exchange tube leakage degree assessment value, and heat exchange tube corrosion degree assessment value during the monitoring period; The risk assessment value acquisition submodule is used to obtain the heat exchange tube dust accumulation risk assessment value, heat exchange tube leakage risk assessment value and heat exchange tube corrosion risk assessment value for the corresponding monitoring period based on the heat exchange tube risk assessment matrix; The early warning prompt module is used to compare the heat exchange tube dust accumulation risk assessment value, heat exchange tube leakage risk assessment value and heat exchange tube corrosion risk assessment value of the monitoring period with the heat exchange tube dust accumulation preset risk assessment value, heat exchange tube leakage preset risk assessment value and heat exchange tube corrosion preset risk assessment value respectively. If the risk is greater than the preset value, a corresponding risk early warning prompt will be issued.

8. The portable heat exchange tube detection device according to claim 7, characterized in that: The heat exchange tube risk assessment matrix construction submodule constructs the heat exchange tube risk assessment matrix: ;in, is the heat exchange tube risk assessment matrix for the i-th monitoring cycle, It represents the evaluation value of heat pipe dust accumulation at the jth moment in the i-th monitoring cycle, It represents the leakage evaluation value of the heat exchange tube at the jth moment in the i-th monitoring cycle, It represents the evaluation value of the corrosion degree of the heat exchange tube at the jth moment in the i-th monitoring cycle, is the dust accumulation degree processing value of the heat exchange tube at the jth moment in the i-th monitoring cycle, is the heat exchange tube leakage processing value at the jth moment in the i-th monitoring cycle, is the heat pipe corrosion degree processing value at the jth moment in the i-th monitoring cycle, where the value range of j is 1-n; Delete the elements related to the dust accumulation degree in the heat exchange tube risk assessment matrix to obtain a new matrix 1. The product of the rank of the new matrix 1 and the mean of the dust accumulation degree assessment values ​​of all heat pipes in the heat exchange tube risk assessment matrix is ​​used as the heat exchange tube dust accumulation risk assessment value for the i-th monitoring period. Delete the elements related to the leakage degree in the heat exchange tube risk assessment matrix to obtain a new matrix 2. The product of the rank of the new matrix 2 and the mean of the leakage degree assessment values ​​of all heat exchange tubes in the heat exchange tube risk assessment matrix is ​​used as the heat exchange tube leakage risk assessment value of the i-th monitoring cycle; Delete the elements related to the corrosion degree in the heat exchange tube risk assessment matrix to obtain a new matrix three. The product of the rank of the new matrix three and the mean of all the heat exchange tube corrosion degree assessment values ​​in the heat exchange tube risk assessment matrix is ​​used as the heat exchange tube corrosion risk assessment value in the i-th monitoring cycle.

9. The portable heat exchange tube detection device according to claim 1, characterized in that: The heat exchange tube maintenance prediction module includes: The maintenance necessity calculation submodule is used to calculate the maintenance necessity of the heat exchange tubes in the corresponding monitoring period based on the dust accumulation risk assessment value, leakage risk assessment value and corrosion risk assessment value of the heat exchange tubes in several monitoring periods: ;in, is the necessity value of heat exchange tube maintenance in the i-th monitoring cycle, is the logarithm to base e, 、 and are the weights of dust accumulation, leakage and corrosion respectively, 、 and are the risk assessment value of heat exchange tube dust accumulation, the risk assessment value of heat exchange tube leakage and the risk assessment value of heat exchange tube corrosion in the i-th monitoring cycle, respectively. 、 and They are the benchmark values ​​corresponding to the heat exchange tube dust accumulation risk assessment value, heat exchange tube leakage risk assessment value and heat exchange tube corrosion risk assessment value respectively; The heat exchange tube maintenance prediction matrix construction sub-module is used to construct a heat exchange tube maintenance prediction matrix based on the heat exchange tube maintenance necessity degree value of each monitoring cycle, predict the heat exchange tube maintenance necessity degree value of the next monitoring cycle based on the heat exchange tube maintenance prediction matrix, and provide overall heat exchange tube maintenance prompts.

10. The portable heat exchange tube detection device according to claim 9, characterized in that: Heat exchange tube maintenance prediction matrix: ;in, is the heat exchange tube maintenance prediction matrix corresponding to the i-th monitoring period. The elements of the second row of the heat exchange tube maintenance prediction matrix except the last element are all the right extreme values ​​of the elements at the corresponding positions. The element corresponding to the first row of the heat exchange tube maintenance prediction matrix at this position is taken as the element at the corresponding position. The difference between the element to the right of the element and the element at the corresponding position is taken as the right extreme value at the corresponding position. The elements of the third row of the heat exchange tube maintenance prediction matrix except the first element are all the left extreme values ​​of the elements at the corresponding positions. The element corresponding to the first row of the heat exchange tube maintenance prediction matrix at this position is taken as the element at the corresponding position. The difference between the element to the left of the element and the element at the corresponding position is taken as the left extreme value at the corresponding position. No. Necessity level of heat exchange tube maintenance per monitoring cycle: Obtain the mean of all matrix elements in any row except the first row in the heat exchange tube maintenance prediction matrix corresponding to the end of the i-th monitoring cycle, and set the value of the last column in the heat exchange tube maintenance prediction matrix corresponding to the end of the i-th monitoring cycle to a value equal to the mean, thereby obtaining a new matrix, and take the product of the rank of the new matrix and the degree of necessity of the heat exchange tube maintenance in the i-th monitoring cycle as the rank of the new matrix. Necessity level of heat exchange tube maintenance in each monitoring cycle; When When the necessity level of heat exchange tube maintenance in a monitoring cycle is greater than the preset value, a prompt for overall heat exchange tube maintenance will be issued.

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