Mixer corrosion detection system based on nondestructive testing technology

Abstract

The present application provides a corrosion detection system for a mixer based on nondestructive testing technology, which relates to the field of nondestructive testing technology. The system includes: the mixing control terminal sends a corrosion detection request; obtains a three-dimensional simulation structure of the mixer; exports historical detection records; determines the initial three-dimensional simulation structure of the mixer; determines the final three-dimensional simulation structure of the mixer; responds to the corrosion detection request sent by the mixing control terminal, simulates and predicts the corrosion level in the mixing process, and uses the corrosion level to issue an abnormal corrosion alarm for the target mixer. The present application can solve the technical problem in the prior art that the accuracy of detection and early warning is poor due to the lack of combined analysis of mixing tasks and corrosion levels. By establishing a three-dimensional simulation structure of the mixer and setting the start-stop detection level, defect penetration analysis is performed, and the alarm is issued in conjunction with the mixing task and the corrosion level, thereby achieving the technical effect of improving detection efficiency and corrosion detection accuracy.

Description

Technical Field

[0001] The present application relates to the technical field of non-destructive testing, and in particular to a mixer corrosion detection system based on non-destructive testing technology. Background Art

[0002] Nondestructive testing technology, also known as nondestructive flaw detection, is a technology that uses X-ray, ultrasonic, infrared, electromagnetic and other principles and technologies combined with instruments to detect defects, chemical and physical parameters of materials, parts and equipment without damaging or affecting the performance of the object being tested.

[0003] As a key equipment in industrial production, the operating status of the mixer directly affects the production efficiency and product quality. However, during the operation of the mixer, corrosion may occur due to various reasons (such as materials, processes, use environment, etc.), which will not only affect the performance of the mixer, but also may cause safety accidents. Therefore, it is of great significance to conduct corrosion detection on the mixer and timely discover and deal with corrosion problems to ensure the safe and stable operation of the mixer.

[0004] Traditional corrosion detection technology often uses a non-destructive testing method to detect the corrosion degree of the mixer. However, during the continuous operation of the mixer, the mixing task will affect the corrosion state. There is a technical problem in the existing technology that the detection and warning accuracy is poor due to the lack of combined analysis of the mixing task and the corrosion level. Summary of the invention

[0005] The purpose of this application is to provide a mixer corrosion detection system based on non-destructive testing technology to solve the technical problem in the prior art that the detection and warning accuracy is poor due to the lack of combined analysis of mixing tasks and corrosion levels.

[0006] In view of the above problems, the present application provides a mixer corrosion detection system based on non-destructive testing technology, the system comprising: a corrosion detection request initiation module, the corrosion detection request initiation module is used for the mixing control terminal to issue a corrosion detection request before the mixing control terminal responds to the material mixing request, the mixing control terminal is communicatively connected to the target mixer, and the target mixer is configured with an independent coding identifier; a three-dimensional reconstruction module, the three-dimensional reconstruction module is used to use the detection equipment of non-destructive testing technology to collect basic detection information of the target mixer, and based on the structural information of the target mixer, the three-dimensional reconstruction is performed in combination with the basic components corresponding to the basic detection information to obtain a three-dimensional simulation structure of the mixer, wherein the basic components include a mixer housing, a stirring wing, and a stirring shaft; a historical detection record export module, the historical detection record export module is used to track data against the independent coding identifier and export historical detection records, the historical detection records include at least one surface electrochemical reaction parameter set returned by a synchronous monitoring network connected to the target mixer, at least one surface coating parameter set returned by a synchronous monitoring network connected to the target mixer a set of layer integrity parameters, a set of material thickness loss parameters returned by at least one synchronous monitoring network to which the target mixer is connected; a start-stop judgment module, the start-stop judgment module is used to execute start-stop judgments of M virtual detection nodes in the three-dimensional simulation structure of the mixer, set the start-stop detection level according to the start-stop judgment results, and upload the basic detection information through the synchronous monitoring network, perform a dynamic calculation and synchronization update in combination with the historical detection records, and determine the initial three-dimensional simulation structure of the mixer; a secondary dynamic calculation module, the secondary dynamic calculation module is used to read the current mixing task of the target mixer in comparison with the material mixing request, perform defect penetration analysis based on the three-dimensional simulation structure of the mixer and the current mixing task, perform a secondary dynamic calculation and synchronization update in combination with the initial three-dimensional simulation structure of the mixer, and determine the final three-dimensional simulation structure of the mixer; a detection request response module, the detection request response module is used to respond to the corrosion detection request issued by the mixing control terminal, simulate and predict the corrosion level in the mixing process through the final three-dimensional simulation structure of the mixer, and issue a corrosion abnormality alarm for the target mixer based on the corrosion level.

[0007] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0008] In summary, the mixer corrosion detection system based on non-destructive testing technology provided by this application has the following technical effects:

[0009] Before the mixing control terminal responds to the material mixing request, the mixing control terminal issues a corrosion detection request, the mixing control terminal is communicatively connected with the target mixer, and the target mixer is configured with an independent coding identifier; a detection device using non-destructive testing technology is used to collect basic detection information of the target mixer, and based on the structural information of the target mixer, a three-dimensional reconstruction is performed in combination with the basic components corresponding to the basic detection information to obtain a three-dimensional simulation structure of the mixer, wherein the basic components include a mixer housing, stirring wings, and a stirring shaft; data tracking is performed against the independent coding identifier to derive historical detection records, wherein the historical detection records include a surface electrochemical reaction parameter set returned by at least one synchronous monitoring network connected to the target mixer, a surface coating integrity parameter set returned by at least one synchronous monitoring network connected to the target mixer, and at least one surface coating integrity parameter set returned by at least one synchronous monitoring network connected to the target mixer. The material thickness loss parameter set returned by the synchronous monitoring network; the start and stop judgment of M virtual detection nodes is executed in the three-dimensional simulation structure of the mixer, the start and stop detection level is set according to the start and stop judgment result, and the basic detection information is uploaded through the synchronous monitoring network, and a dynamic calculation and synchronization update is performed in combination with the historical detection record to determine the initial three-dimensional simulation structure of the mixer; in accordance with the material mixing request, the current mixing task of the target mixer is read, and the defect penetration analysis is performed based on the three-dimensional simulation structure of the mixer and the current mixing task, and a secondary dynamic calculation and synchronization update is performed in combination with the initial three-dimensional simulation structure of the mixer to determine the final three-dimensional simulation structure of the mixer; in response to the corrosion detection request issued by the mixing control terminal, the corrosion level in the mixing process is simulated and predicted by the final three-dimensional simulation structure of the mixer, and the corrosion abnormality alarm of the target mixer is performed with the corrosion level. Thus, by establishing the three-dimensional simulation structure of the mixer and setting the start and stop detection level, the defect penetration analysis is performed, and the corrosion level is obtained for alarm, so as to achieve the technical effect of improving the detection efficiency and the accuracy of corrosion detection.

[0010] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented according to the contents of the specification, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are specifically cited below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0012] Figure 1 This is a schematic diagram of the structure of a mixer corrosion detection system based on non-destructive testing technology in this application;

[0013] Figure 2 This is a flow chart of the method steps executed by the mixer corrosion detection system based on non-destructive testing technology in this application.

[0014] Explanation of the accompanying drawings: corrosion detection request initiating module 11, three-dimensional reconstruction module 12, historical detection record exporting module 13, start-stop judgment module 14, secondary dynamic calculation module 15, detection request response module 16. DETAILED DESCRIPTION

[0015] The present application provides a mixer corrosion detection system based on non-destructive testing technology, which solves the technical problem in the prior art that the detection and warning accuracy is poor due to the lack of combined analysis of mixing tasks and corrosion levels. By establishing a three-dimensional simulation structure of the mixer and setting start-stop detection levels, defect penetration analysis is performed, and the mixing tasks and corrosion levels are combined to issue alarms, thereby achieving the technical effect of improving detection efficiency and corrosion detection accuracy.

[0016] Below, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments of the present application. It should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application. It should also be noted that, for the convenience of description, only the parts related to the present application are shown in the accompanying drawings, rather than all of them.

[0017] Embodiment 1

[0018] Please see attached Figure 1 The present application provides a mixer corrosion detection system based on nondestructive testing technology, which is used to perform the following Figure 2 The mixer corrosion detection method based on non-destructive testing technology shown in the figure, the system includes:

[0019] A corrosion detection request initiating module 11, wherein the corrosion detection request initiating module 11 is used for the mixing control terminal to issue a corrosion detection request before the mixing control terminal responds to the material mixing request, the mixing control terminal is in communication connection with a target mixer, and the target mixer is configured with an independent coding identifier;

[0020] Specifically, the mixing control terminal is an existing device or system for controlling the mixing process of a mixer. Before responding to a material mixing request, the mixing control terminal will first issue a corrosion detection request to ensure the safety of the mixing process and the integrity of the equipment, and to avoid adverse effects on the mixer or the mixing process due to material corrosion. The target mixer refers to any mixer to be subjected to corrosion detection. A communication connection is established between the mixing control terminal and the target mixer through existing wired or wireless methods, and the two can exchange data with each other. The target mixer is equipped with an independent coding identification to facilitate the distinction and management of different mixers. After the mixing control terminal issues a corrosion detection request, the target mixer will execute the corresponding corrosion detection procedure according to the request.

[0021] A three-dimensional reconstruction module 12, wherein the three-dimensional reconstruction module 12 is used to collect basic detection information of the target mixer using a detection device of non-destructive detection technology, and based on the structural information of the target mixer, perform three-dimensional reconstruction in combination with basic components corresponding to the basic detection information to obtain a three-dimensional simulation structure of the mixer, wherein the basic components include a mixer housing, a stirring wing, and a stirring shaft;

[0022] Specifically, the testing equipment of non-destructive testing technology includes ultrasonic testing equipment, X-ray testing equipment, magnetic particle testing equipment, eddy current testing equipment, etc., which need to be determined in combination with actual conditions. The testing equipment will scan and measure the key parts of the mixer to obtain basic testing information, which includes the thickness and uniformity of the mixer shell, the shape and size of the stirring wing, and the curvature and cracks of the stirring shaft. The structural information of the target mixer refers to the component structure of the target mixer and the corresponding size, position, etc., which can be obtained through the user manual. The three-dimensional reconstruction is carried out by combining the basic components corresponding to the structural information and the basic testing information. It can be completed by existing computer technology and software. First, according to the structural information of the mixer, the initial three-dimensional model is established through the existing three-dimensional modeling software; then, the basic testing information collected by the non-destructive testing equipment is imported into the three-dimensional modeling software, and the initial model is corrected and optimized to obtain a highly realistic three-dimensional simulation structure of the mixer.

[0023] A historical detection record export module 13, the historical detection record export module 13 is used to track data by comparing the independent coding identifier and export historical detection records, the historical detection records including a surface electrochemical reaction parameter set returned by at least one synchronous monitoring network connected to the target mixer, a surface coating integrity parameter set returned by at least one synchronous monitoring network connected to the target mixer, and a material thickness loss parameter set returned by at least one synchronous monitoring network connected to the target mixer;

[0024] Specifically, by tracking data against independent coding identifiers, the historical detection records corresponding to the target mixer can be effectively derived. The synchronous monitoring network is an existing networked monitoring system, which is mainly used to realize real-time data synchronization and sharing between multiple monitoring devices. In this application, it is used to realize data sharing and extraction of surface electrochemical reaction detection, surface coating integrity detection and material thickness loss detection. The historical detection records include detection parameters corresponding to surface electrochemical reaction detection, surface coating integrity detection and material thickness loss detection. Simply put, the electrochemical changes that occur when the mixer surface contacts the material, the integrity of the coating and the material thickness can show the corrosion of the mixer surface. The surface electrochemical reaction parameter set can include parameters such as reaction temperature and reaction activity, the surface coating integrity parameter set includes parameters such as coating thickness, uniformity, adhesion, and the material thickness loss parameter set includes data on the change of material thickness over time at key parts of the mixer.

[0025] A start-stop judgment module 14, which is used to perform start-stop judgments on M virtual detection nodes in the three-dimensional simulation structure of the mixer, set a start-stop detection level according to the start-stop judgment result, upload the basic detection information through a synchronous monitoring network, perform a dynamic calculation and synchronous update in combination with the historical detection record, and determine the initial three-dimensional simulation structure of the mixer;

[0026] Specifically, M is an integer greater than 0, and M is the number of basic components. M virtual detection nodes refer to nodes corresponding to basic components, such as stirring wings, stirring shafts, etc. Then, through the basic detection information, the start and stop judgment of M virtual detection nodes is performed, that is, the surface electrochemical reaction detection, coating integrity detection and material thickness loss detection are performed on the M virtual detection nodes through the synchronous monitoring network. If all the data of the M virtual detection nodes are detected every time, the amount of data is large. Therefore, the detection equipment of the M virtual detection nodes is started and stopped in combination with the detection information of the M virtual detection nodes, and a higher start and stop detection level is set for important nodes, such as level one, level two, level three, etc. Different start and stop detection levels correspond to different detection strategies. Then, the basic detection information is uploaded through the synchronous monitoring network, and a dynamic calculation and synchronization update is performed in combination with the historical detection records, that is, according to the current basic detection information and historical detection records, the initial three-dimensional simulation structure of the mixer is corrected and optimized to obtain the initial three-dimensional simulation structure of the mixer. Through dynamic calculation, the actual operating state of the mixer can be simulated more accurately and potential faults can be predicted.

[0027] A secondary dynamic calculation module 15, the secondary dynamic calculation module 15 is used to read the current mixing task of the target mixer in comparison with the material mixing request, perform defect penetration analysis based on the three-dimensional simulation structure of the mixer and the current mixing task, perform secondary dynamic calculation and synchronous update in combination with the initial three-dimensional simulation structure of the mixer, and determine the final three-dimensional simulation structure of the mixer;

[0028] Specifically, by comparing the material mixing request and reading the current mixing task of the target mixer, defect penetration analysis can be performed based on the three-dimensional simulation structure of the mixer and the current mixing task. That is, the equipment corrosion that may occur during the material mixing process is analyzed, and the three-dimensional simulation structure of the mixer is adjusted and optimized to more accurately reflect the actual corrosion condition of the mixer and determine the final three-dimensional simulation structure of the mixer. This makes it easier to obtain the corrosion state after completing the current mixing task, that is, the corrosion state when the material has not changed, thereby improving the accuracy of corrosion detection.

[0029] The detection request response module 16 is used to respond to the corrosion detection request issued by the mixing control terminal, predict the corrosion level in the mixing process through the three-dimensional simulation structure of the final state of the mixer, and issue a corrosion abnormality alarm for the target mixer at the corrosion level.

[0030] Specifically, responding to the corrosion detection request issued by the hybrid control terminal refers to the instruction or signal from the control terminal, thereby starting the corresponding corrosion detection program. Next, the three-dimensional simulation structure of the final state of the mixer that has been constructed is used for simulation prediction to obtain an accurate corrosion level. Then, according to the preset alarm threshold, a judgment is made. If the corrosion level exceeds the alarm threshold, it means that the mixer is at risk of abnormal corrosion, and the corrosion abnormality alarm is immediately triggered. It can be issued in a variety of ways, such as sound and light alarms, SMS notifications, email reminders, etc., so that relevant personnel can be informed in time and take corresponding measures, thereby realizing corrosion detection early warning of the mixer and improving the accuracy of corrosion detection.

[0031] Furthermore, the start / stop judgment module 14 in the system further includes:

[0032] A detection node definition module, the detection node definition module is used to define M virtual detection nodes corresponding to the basic components in the three-dimensional simulation structure of the hybrid machine; a detection parameter analysis module, the detection parameter analysis module is used to make a start-stop judgment according to the detection parameter start-stop judgment strategy if the detection parameters corresponding to the M virtual detection nodes are within a valid range; a start-stop detection level setting module, the start-stop detection level setting module is used to set the start-stop detection level according to the hierarchical relationship of the risk nodes in the start-stop judgment result.

[0033] Specifically, the process of executing the start / stop judgment of M virtual detection nodes in the three-dimensional simulation structure of the hybrid machine and setting the start / stop detection level according to the start / stop judgment result includes:

[0034] In the three-dimensional simulation structure of the mixer, virtual detection nodes corresponding to the basic components are defined, including nodes corresponding to the mixer housing, stirring wings, and stirring shaft. The detection parameters corresponding to these M virtual detection nodes are collected. The detection parameters refer to the detection parameters obtained by the detection equipment of the non-destructive testing technology, including surface electrochemical reaction parameters, surface coating integrity parameters, and material thickness loss parameters. It is judged whether the detection parameters are within the effective range. The effective range is set by professional and technical personnel in this field according to the design parameters of the mixer, historical operation data, and expert experience, and is used to judge whether the mixer is in normal operation. If the detection parameters are within the effective range, the start-stop judgment is made according to the start-stop judgment strategy of the detection parameters. According to the start-stop judgment results, the nodes with risks are identified, and the corresponding start-stop detection levels are set according to the hierarchical relationship of these risk nodes. The hierarchical relationship can be divided based on factors such as risk degree and impact range. For example, key components that have a greater impact on the operation of the mixer may be regarded as high-level risk nodes, and the start-stop detection level is also high, while some auxiliary components may be regarded as low-level risk nodes, and the start-stop detection level is low. In this way, real-time monitoring and accurate judgment of the corrosion state of the mixer can be achieved, potential risks can be discovered in time, and corresponding measures can be taken to ensure the safe operation of the mixer.

[0035] Furthermore, the start / stop judgment module 14 in the system further includes:

[0036] A primary start-stop architecture setting module, the primary start-stop architecture setting module is used to set a primary start-stop architecture based on the detection index relationship in the basic detection information, and the number of architecture layers of the primary start-stop architecture is equal to the number of the maximum level of the start-stop detection level; a correlation degree analysis module, the correlation degree analysis module is used to use the basic detection information to perform a correlation degree analysis using the material corrosion rate as a core factor and extract the correlation degree analysis results; a connection adjustment module, the connection adjustment module is used to adjust the connection of the start-stop judgment node of the primary start-stop architecture based on the correlation degree analysis results to determine the advanced start-stop architecture.

[0037] Specifically, the process of making a start-stop judgment based on the start-stop judgment strategy of the detection parameters is as follows: according to the detection indicator relationship in the basic detection information, a primary start-stop architecture is set. The detection indicator relationship includes the correlation and influence degree between different indicators, which can be obtained through the existing correlation analysis method, thereby preliminarily determining which indicators have an important influence on the start-stop judgment, and constructing a primary start-stop architecture accordingly. The number of architecture layers of the primary start-stop architecture is usually equal to the number of maximum values ​​of the start-stop detection level to ensure that all possible start-stop states can be fully covered. Next, through the basic detection information, the material corrosion rate is used as the core factor for correlation degree analysis. The material corrosion rate is one of the key indicators that reflect the operating status of the mixer. It has a complex correlation relationship with multiple detection indicators. Through the existing correlation analysis method, such as the gray correlation analysis method, these relationships can be quantified and the correlation degree analysis results can be extracted.

[0038] Then, based on the results of the correlation degree analysis, the connection of the start-stop judgment nodes of the primary start-stop architecture is adjusted. Specifically, according to the degree of correlation between the material corrosion rate and other detection indicators, the connection method and weight of each node in the primary start-stop architecture are adjusted, including adding or reducing the start-stop judgment nodes, adjusting the connection method between nodes, or redefining the logical relationship between nodes. By optimizing these connections, we can make the start-stop architecture more in line with the actual operation of the mixer and improve the accuracy and reliability of the start-stop judgment. Finally, the start-stop architecture after the connection adjustment was determined to be an advanced start-stop architecture. This advanced start-stop architecture not only considers the relationship between multiple detection indicators, but also optimizes it with the material corrosion rate as the core factor, so it can more accurately reflect the corrosion status of the mixer.

[0039] Furthermore, the start / stop judgment module 14 in the system further includes:

[0040] An electrochemical activity analysis module, the electrochemical activity analysis module is used to extract surface electrochemical activity characteristics through the surface electrochemical reaction parameter set in the historical detection record; a connection constraint module, the connection constraint module is used to obtain the temperature distribution characteristics corresponding to the surface electrochemical reaction parameter set, and to perform connection constraints on the start-stop judgment node of the primary start-stop architecture through the temperature distribution characteristics and the surface electrochemical activity characteristics.

[0041] Specifically, before the connection adjustment of the start-stop judgment node of the primary start-stop architecture is performed, the method further includes:

[0042] First, a set of surface electrochemical reaction parameters is extracted from historical detection records. These parameter sets contain relevant information about the surface electrochemical reaction of the mixer during operation, such as current, voltage, charge transfer rate, temperature, etc. Then, using data analysis and processing technology, the surface electrochemical activity characteristics are extracted from the surface electrochemical reaction parameter set, including the distribution of electrochemically active areas, changes in activity intensity, etc., which can reflect the state and change trend of the electrochemical activity on the surface of the mixer. Furthermore, the surface electrochemical reaction parameter set extracts temperature distribution characteristics, including temperatures at different locations. Based on the extracted surface electrochemical activity characteristics and temperature distribution characteristics, the connection constraints of the start-stop judgment nodes of the primary start-stop architecture are performed. The purpose of the connection constraints is to ensure that the start-stop architecture can comprehensively consider the influence of surface electrochemical activity and temperature distribution when judging the start-stop state of the mixer. Specifically, the connection mode and weight between nodes can be adjusted according to the characteristics and constraints to make the start-stop architecture more accurate.

[0043] Furthermore, the start / stop judgment module 14 in the system further includes:

[0044] A temperature distribution feature extraction module, the temperature distribution feature extraction module is used to extract key features based on the temperature distribution features to obtain key features of temperature distribution, the key features of temperature distribution include average temperature, maximum temperature, minimum temperature and temperature gradient of different parts; an electrochemical activity feature extraction module, the electrochemical activity feature extraction module is used to extract key features based on the surface electrochemical activity features to obtain key features of surface electrochemical activity, the key features of surface electrochemical activity include corrosion current density, open circuit potential and polarization resistance; a one-way cross analysis module, the one-way cross analysis module is used to perform one-way cross analysis between the temperature distribution features and the temperature distribution key features, the surface electrochemical activity features and the surface electrochemical activity key features, and to perform connection constraints on the start-stop judgment nodes of the primary start-stop architecture through the cross fusion results.

[0045] Specifically, the process of connecting the start-stop judgment node of the primary start-stop architecture through the temperature distribution characteristics and the surface electrochemical activity characteristics is as follows: first, extract key features from the temperature distribution characteristics, including the average temperature, maximum temperature, minimum temperature and temperature gradient of different parts. The average temperature provides the overall level of temperature in each part of the mixer; the maximum and minimum temperatures indicate the extreme conditions of temperature; the temperature gradient refers to the degree of temperature variation between different parts of the mixer. Extract key features from the surface electrochemical activity characteristics, including corrosion current density, open circuit potential and polarization resistance. The corrosion current density indicates the corrosion rate per unit area; the open circuit potential reflects the natural potential of the material when there is no current flowing; and the polarization resistance indicates the degree of obstruction of the material to the flow of current. Through one-way cross analysis, the key features of temperature distribution are compared with the temperature distribution features, and the key features of surface electrochemical activity are compared with the surface electrochemical activity features to identify the mutual influence and correlation between different features. For example, analyze how the temperature gradient affects the corrosion current density, or how the open circuit potential changes with temperature, so as to better understand the corrosion behavior of the mixer under different temperature conditions.

[0046] According to the results of the cross-analysis, the connection constraints of the start-stop judgment nodes of the primary start-stop architecture are performed, that is, the logic and priority of the start-stop judgment nodes are adjusted according to the mutual relationships and influencing factors obtained by the analysis. For example, if it is found that high temperature will significantly increase the corrosion rate, then under high temperature conditions, the temperature-related judgment nodes may be given a higher priority so that more detection data can be detected when high temperature is detected to ensure the accuracy of corrosion detection.

[0047] Furthermore, the start / stop judgment module 14 in the system further includes:

[0048] A first one-way cross-feature correlation analysis module, wherein the one-way cross-feature correlation analysis module is used to perform a one-way cross-feature correlation analysis with the temperature distribution key feature and the surface electrochemical activity feature to determine a first one-way cross-feature correlation; a second one-way cross-feature correlation analysis module, wherein the second one-way cross-feature correlation analysis module is used to perform a one-way cross-feature correlation analysis with the surface electrochemical activity key feature and the temperature distribution feature to determine a second one-way cross-feature correlation; a cross-fusion module, wherein the cross-fusion module is used to obtain a cross-fusion result based on the first one-way cross-feature correlation with the surface electrochemical activity key feature and the temperature distribution feature and the second one-way cross-feature correlation with the temperature distribution key feature and the surface electrochemical activity feature.

[0049] Specifically, the process of performing one-way cross analysis through the temperature distribution characteristics and the temperature distribution key characteristics, and the surface electrochemical activity characteristics and the surface electrochemical activity key characteristics includes:

[0050] The key features of temperature distribution (average temperature, maximum temperature, minimum temperature and temperature gradient) are subjected to one-way cross analysis with the surface electrochemical activity features (corrosion current density, open circuit potential and polarization resistance) to determine how the temperature distribution features affect the surface electrochemical activity, as well as the intensity and direction of this influence. For example, there is a significant positive correlation between high temperature and the increase in corrosion current density, which indicates that increased temperature may intensify the corrosion process. This can be analyzed specifically through existing correlation analysis methods, which will not be elaborated here. Similarly, the key features of surface electrochemical activity are subjected to one-way cross analysis with the temperature distribution features to determine how the surface electrochemical activity affects the temperature distribution, as well as the nature of this influence. For example, changes in open circuit potential are associated with an increase in temperature gradient, and changes in electrochemical activity will lead to increased temperature differences between different parts of the mixer.

[0051] Based on the first unidirectional cross-feature correlation and the key features of surface electrochemical activity and temperature distribution characteristics, as well as the second unidirectional cross-feature correlation and the key features of temperature distribution and surface electrochemical activity characteristics, a comprehensive analysis and cross-fusion is performed, which is to combine the correlation analysis results in the two directions to form a more comprehensive and in-depth cross-fusion result. Finally, the connection constraints of the start-stop judgment nodes of the primary start-stop architecture are adjusted according to the cross-fusion results. By optimizing the connection mode and weight of the nodes, the start-stop architecture can more accurately reflect the corrosion state of the mixer. For example, if there is a strong positive correlation between high temperature and high corrosion current density, the sensitivity of the temperature monitoring node is increased, and more detection data is collected to ensure the accuracy of corrosion detection.

[0052] Furthermore, the system further comprises a level updating module, wherein the level updating module comprises:

[0053] A defect penetration analysis module, the defect penetration analysis module is used to perform defect penetration analysis based on the three-dimensional simulation structure of the mixer and the current mixing task, and obtain the defect penetration analysis result; a signal output judgment module, the signal output judgment module is used to judge whether to output a start-stop fallback signal based on the defect penetration analysis result; a signal response module, the signal response module is used to respond to the start-stop fallback signal if the start-stop fallback signal is output, and the start-stop fallback signal is used to update the start-stop detection level.

[0054] Specifically, the process of performing defect penetration analysis based on the three-dimensional simulation structure of the mixer and the current mixing task also includes: first, using the three-dimensional simulation structure of the mixer, combined with the specific requirements of the current mixing task, a defect penetration analysis is performed to identify potential defects or risk points that may exist in the operation of the mixer, such as material defects, structural defects, etc. According to the defect penetration analysis results, it is determined whether to output a start-stop fallback signal. If the analysis results show that there are serious defects or risks, a start-stop fallback signal is output. According to the indication of the start-stop fallback signal, the start-stop detection level is updated, that is, the detection level is increased, and the detection frequency of the node is increased to improve the corrosion detection accuracy.

[0055] Furthermore, the level updating module further includes:

[0056] A material basic information acquisition module, the material basic information acquisition module is used to acquire the basic information of the mixed material based on the current mixing task corresponding to the material mixing request, the basic information of the mixed material including the material type, material property and material filling amount; a mixing time estimation module, the mixing time estimation module is used to estimate the mixing time based on the material filling amount in the mixed material basic information, and acquire the material mixing estimation time; a defect penetration analysis result acquisition module, the defect penetration analysis result acquisition module is used to perform defect penetration depth analysis on the basis of the material mixing estimation time through the mixed material basic information corresponding to the current mixing task and the stress concentration area corresponding to the three-dimensional simulation structure of the mixer, and acquire the defect penetration analysis result.

[0057] Specifically, defect penetration analysis is performed based on the three-dimensional simulation structure of the mixer and the current mixing task, and the process of obtaining the defect penetration analysis result is: according to the requirements of the current mixing task, the basic information of the mixed material is obtained, including the type of material, the nature of the material and the filling amount of the material. The basic information determines the behavior and characteristics of the material during the mixing process. Based on the material filling amount, combined with the design parameters and historical operation data of the mixer, the mixing time is estimated. The material mixing estimation time refers to the time required to achieve the expected mixing effect, which is affected by factors such as the type, nature and filling amount of the material. Specifically, the historical material filling amount records and historical mixing time records of the same material can be obtained, and the historical material filling amount records and historical mixing time records are used as training data. The estimation model is trained based on the existing machine learning model. The training of the machine learning model is a common technical means used by those skilled in the art, which will not be elaborated here. The material filling amount is input into the estimation model for analysis, and the material mixing estimation time can be output.

[0058] The stress concentration area is the part of the mixer where cracks, wear or corrosion may occur during use, that is, the node with a higher start-stop detection level. The stress concentration area of ​​the three-dimensional simulation structure of the mixer is used, combined with the basic information of the mixed material corresponding to the current mixing task, to analyze the possible corrosion effects within the estimated time of material mixing, and predict the penetration depth of defects. The defect penetration depth analysis can be analyzed using existing advanced simulation technologies such as finite element analysis to consider the corrosion effects of different material characteristics and mixing operating conditions on the equipment. The defect penetration depth is used as the defect penetration analysis result to obtain the possible corrosion risk of the mixer, thereby improving the accuracy of corrosion detection alarms.

[0059] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

[0060] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application belong to the scope of the present application and its equivalent technology, the present application is also intended to include these modifications and variations.

Claims

1. The mixer corrosion detection system based on non-destructive testing technology is characterized by: The system comprises: A corrosion detection request initiating module, wherein the corrosion detection request initiating module is used for the mixing control terminal to issue a corrosion detection request before the mixing control terminal responds to the material mixing request, the mixing control terminal is in communication connection with a target mixer, and the target mixer is configured with an independent coding identifier; A three-dimensional reconstruction module, wherein the three-dimensional reconstruction module is used to collect basic detection information of the target mixer using a detection device of non-destructive testing technology, and based on the structural information of the target mixer, three-dimensional reconstruction is performed in combination with basic components corresponding to the basic detection information to obtain a three-dimensional simulation structure of the mixer, wherein the basic components include a mixer housing, a stirring wing, and a stirring shaft; A historical detection record export module, the historical detection record export module is used to track data against the independent coding identifier and export historical detection records, the historical detection records including a set of surface electrochemical reaction parameters returned by at least one synchronous monitoring network connected to the target mixer, a set of surface coating integrity parameters returned by at least one synchronous monitoring network connected to the target mixer, and a set of material thickness loss parameters returned by at least one synchronous monitoring network connected to the target mixer; A start-stop judgment module, which is used to perform start-stop judgments on M virtual detection nodes in the three-dimensional simulation structure of the mixer, set a start-stop detection level according to the start-stop judgment result, upload the basic detection information through a synchronous monitoring network, perform a dynamic calculation and synchronous update in combination with the historical detection record, and determine the initial three-dimensional simulation structure of the mixer; A secondary dynamic calculation module, the secondary dynamic calculation module is used to read the current mixing task of the target mixer in comparison with the material mixing request, perform defect penetration analysis based on the three-dimensional simulation structure of the mixer and the current mixing task, perform secondary dynamic calculation and synchronous update in combination with the initial three-dimensional simulation structure of the mixer, and determine the final three-dimensional simulation structure of the mixer; A detection request response module, the detection request response module is used to respond to the corrosion detection request issued by the mixing control terminal, predict the corrosion level in the mixing process through the three-dimensional simulation structure of the final state of the mixer, and issue a corrosion abnormality alarm for the target mixer according to the corrosion level; Wherein, the system further comprises: A detection node definition module, the detection node definition module is used to define M virtual detection nodes corresponding to the basic components in the three-dimensional simulation structure of the mixer; A detection parameter analysis module, wherein the detection parameter analysis module is used to make a start / stop judgment according to a detection parameter start / stop judgment strategy if the detection parameters corresponding to the M virtual detection nodes are within a valid range; A start-stop detection level setting module, which is used to set the start-stop detection level according to the hierarchical relationship of the risk nodes in the start-stop judgment result; Wherein, the system further comprises: A defect penetration analysis module, the defect penetration analysis module is used to perform defect penetration analysis based on the three-dimensional simulation structure of the mixer and the current mixing task, and obtain defect penetration analysis results; A signal output judgment module, the signal output judgment module is used to judge whether to output a start-stop fallback signal according to the defect penetration analysis result; a signal response module, the signal response module being used to respond to the start-stop fallback signal if the start-stop fallback signal is output, and the start-stop fallback signal is used to update the start-stop detection level; Wherein, the system further comprises: A material basic information acquisition module, the material basic information acquisition module is used to acquire the basic information of the mixed material based on the current mixing task corresponding to the material mixing request, the basic information of the mixed material including the material type, material property, and material filling amount; A mixing time estimation module, the mixing time estimation module is used to estimate the mixing time based on the material filling amount in the mixed material basic information, and obtain the material mixing estimation time; A defect penetration analysis result acquisition module is used to perform defect penetration depth analysis on the basis of the material mixing estimation time through the basic information of the mixed material corresponding to the current mixing task and the stress concentration area corresponding to the three-dimensional simulation structure of the mixer, so as to obtain the defect penetration analysis result.

2. The mixer corrosion detection system based on nondestructive testing technology according to claim 1, characterized in that: The start-stop judgment is performed according to the detection parameter start-stop judgment strategy, and the system includes: A primary start-stop architecture setting module, the primary start-stop architecture setting module is used to set a primary start-stop architecture based on the detection index relationship in the basic detection information, the number of architecture layers of the primary start-stop architecture being equal to the number of the maximum level of the start-stop detection level; A correlation degree analysis module, wherein the correlation degree analysis module is used to perform correlation degree analysis using the basic detection information and taking the material corrosion rate as a core factor, and extract the correlation degree analysis result; A connection adjustment module is used to adjust the connection of the start-stop judgment node of the primary start-stop architecture based on the correlation degree analysis result to determine the advanced start-stop architecture.

3. The mixer corrosion detection system based on nondestructive testing technology as claimed in claim 2, characterized in that: Before the connection adjustment of the start / stop judgment node of the primary start / stop architecture is performed, the system further includes: An electrochemical activity analysis module, the electrochemical activity analysis module is used to extract surface electrochemical activity characteristics through the surface electrochemical reaction parameter set in the historical detection record; A connection constraint module is used to obtain the temperature distribution characteristics corresponding to the surface electrochemical reaction parameter set, and to perform connection constraints on the start-stop judgment node of the primary start-stop architecture through the temperature distribution characteristics and the surface electrochemical activity characteristics.

4. The mixer corrosion detection system based on nondestructive testing technology as claimed in claim 3, characterized in that: The connection constraints of the start-stop judgment nodes of the primary start-stop architecture are performed by using the temperature distribution characteristics and the surface electrochemical activity characteristics, and the system includes: A temperature distribution feature extraction module, wherein the temperature distribution feature extraction module is used to extract key features based on the temperature distribution features to obtain key features of temperature distribution, wherein the key features of temperature distribution include average temperature, maximum temperature, minimum temperature and temperature gradient of different parts; An electrochemical activity feature extraction module, the electrochemical activity feature extraction module is used to extract key features based on the surface electrochemical activity features to obtain the surface electrochemical activity key features, the surface electrochemical activity key features include corrosion current density, open circuit potential, polarization resistance; A one-way cross analysis module is used to perform one-way cross analysis through the temperature distribution characteristics and the temperature distribution key characteristics, the surface electrochemical activity characteristics and the surface electrochemical activity key characteristics, and to perform connection constraints on the start-stop judgment nodes of the primary start-stop architecture through the cross fusion results.

5. The mixer corrosion detection system based on nondestructive testing technology as claimed in claim 4, characterized in that: Through the one-way cross analysis between the temperature distribution characteristics and the temperature distribution key characteristics, and the surface electrochemical activity characteristics and the surface electrochemical activity key characteristics, the system includes: a first one-way cross-feature correlation analysis module, the one-way cross-feature correlation analysis module being used to perform one-way cross-feature correlation analysis on the temperature distribution key feature and the surface electrochemical activity feature to determine a first one-way cross-feature correlation; a second one-way cross-feature correlation analysis module, the second one-way cross-feature correlation analysis module being used to perform one-way cross-feature correlation analysis on the surface electrochemical activity key feature and the temperature distribution feature to determine a second one-way cross-feature correlation; A cross-fusion module is used to obtain a cross-fusion result based on the first unidirectional cross-feature correlation and the key feature of the surface electrochemical activity, the temperature distribution feature, and the second unidirectional cross-feature correlation and the key feature of the temperature distribution, the surface electrochemical activity feature.

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