Weakly alkaline system corrosion inhibitor corrosion inhibition efficiency real-time monitoring method and system based on sensor array

Abstract

The invention discloses a real-time monitoring method and system for corrosion inhibition efficiency of a weakly alkaline system corrosion inhibitor based on a sensor array, and the method comprises the steps: constructing a multi-dimensional sensor array containing electrochemical, environmental parameter and surface state sensing units, embedding the multi-dimensional sensor array into a weakly alkaline corrosion inhibition system to be monitored, and constructing a data collection unit; initial calibration is completed through a data acquisition unit, and initial reference parameters of a blank system are acquired; after the target corrosion inhibitor is added, real-time monitoring parameters are continuously collected; constructing a multi-parameter coupling model, and calculating a real-time corrosion rate after temperature compensation and environment interference coefficient construction processing; the real-time corrosion inhibition efficiency is calculated by combining the corrosion rate of a blank system, and a threshold value is set to realize automatic early warning. The system correspondingly comprises a multi-dimensional sensor array unit, a data acquisition unit, a multi-parameter coupling analysis unit and an early warning control unit. The corrosion inhibition efficiency can be accurately monitored in real time, the method is suitable for various alkalescent industrial scenes, and reliable support is provided for corrosion protection of metal equipment.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of corrosion protection monitoring, and particularly relates to a weak alkaline system inhibitor inhibition efficiency real-time monitoring method and system based on a sensor array. BACKGROUND

[0002] In the field of industrial production, weak alkaline systems are widely used in petroleum and chemical circulating water systems, metal processing coolants, concrete curing liquids, and other scenarios. Metal components (such as carbon steel pipes and stainless steel equipment) in such systems are prone to material degradation due to electrochemical corrosion, which not only shortens the service life of equipment and increases maintenance costs, but also causes safety accidents such as medium leakage and production interruption. To inhibit corrosion, the industry generally uses the method of adding inhibitors. However, the inhibition efficiency of inhibitors is dynamically affected by factors such as temperature fluctuations, pH value shifts, and changes in the concentration of corrosive ions. For example, an increase in the concentration of Cl- in a weak alkaline circulating water system can damage the protective film formed by the inhibitor on the metal surface, leading to a sharp decline in inhibition efficiency. Therefore, there is an urgent need for a technology that can accurately monitor the inhibition efficiency of inhibitors in weak alkaline systems in real time, timely capture abnormal inhibition effects, and provide a basis for inhibitor replenishment and system parameter adjustment to avoid corrosion risks caused by inhibition failure and ensure the stable operation of industrial systems. This is the core motivation behind the present application.

[0003] Traditional weak alkaline system inhibitor inhibition efficiency detection technologies are mainly based on offline sampling analysis. A typical technical solution is as follows: a certain amount of medium sample is periodically taken from the weak alkaline system to be monitored, and then sent to the laboratory. The inhibition efficiency is analyzed using methods such as weight loss, static coupon method, or electrochemical workstation polarization curve measurement. The weight loss method measures the mass loss of the metal test piece in the sample over a certain period of time to calculate the corrosion rate and then deduce the inhibition efficiency. The static coupon method observes the corrosion morphology of the test piece surface to assist in judging the inhibition effect. The polarization curve method measures the polarization behavior of the metal electrode in the sample to obtain the corrosion current density and calculate the inhibition efficiency. The advantages of this traditional technology are that the detection principle is mature, the operation process is standardized, and relatively accurate inhibition efficiency data can be obtained in a laboratory environment. The equipment cost is relatively low, and it is suitable for scenarios where the inhibition effect is not high and the corrosion rate changes slowly. However, the disadvantages are also significant. First, the detection has a serious lag, and it usually takes several hours to several days from sampling to laboratory analysis, which cannot reflect the dynamic changes in inhibition efficiency in real time. If the inhibitor suddenly fails during this period, it is difficult to discover and handle it in time. Second, the sampling process disrupts the original balance of the system, for example, air entering the sample during sampling changes the oxygen content of the system, resulting in a deviation between the analysis results and the actual system conditions. In addition, traditional technologies are mostly single-point detection, which cannot fully reflect the inhibition efficiency differences in different regions of large weak alkaline systems (such as industrial circulating water systems), and may miss local corrosion.

[0004] With the development of industrial intelligence, there are single sensor-based corrosion inhibition efficiency monitoring technologies in the prior art. The technical solution is to install a single type of sensor (such as an electrochemical sensor or a pH sensor) in a weak alkaline system, collect a certain specific parameter (such as linear polarization resistance or system pH value) in real time through the sensor, and then deduce the corrosion inhibition effect based on the correlation between the single parameter and the corrosion inhibition efficiency. For example, some existing technologies continuously monitor the linear polarization resistance of the metal electrode through the electrochemical sensor, and indirectly judge the change of the corrosion inhibition efficiency by using the inverse relationship between the polarization resistance and the corrosion rate. Another technology monitors the pH value of the system in real time through the pH sensor, and when the pH value exceeds the applicable range of the corrosion inhibitor, it prompts that the corrosion inhibition effect is decreasing. The advantages of this kind of existing technology are that it realizes real-time monitoring, does not need offline sampling, can continuously obtain parameter data, and the device structure is relatively simple, easy to install and maintain, and has certain applicability in small weak alkaline systems (such as laboratory simulation systems). However, the disadvantages are also prominent. On the one hand, single parameter monitoring cannot comprehensively reflect the influencing factors of corrosion inhibition efficiency. For example, when only monitoring the linear polarization resistance, if the system temperature changes, the polarization resistance measurement value will deviate, and then the corrosion inhibition efficiency will be misjudged. On the other hand, the existing technology lacks a comprehensive correction mechanism for multiple factor interference. When there are temperature fluctuations, changes in the concentration of corrosive ions, and other situations in the weak alkaline system, the corrosion inhibition efficiency deduced by a single parameter has a large error, which is difficult to meet the requirements of industrial scenes for monitoring accuracy. In addition, most of the existing technologies do not build a systematic early warning mechanism, can only provide parameter data, and need manual judgment of whether the corrosion inhibition efficiency is abnormal, which cannot realize automatic early warning, increases the cost of manual operation, and is easy to cause risks due to manual judgment delay.

[0005] In summary, the traditional offline detection technology and the existing single sensor monitoring technology cannot meet the "real-time, accurate and comprehensive" monitoring needs of the corrosion inhibitor corrosion inhibition efficiency in the weak alkaline system. The lag of the traditional technology and the single and low-precision problems of the existing technology have become the key bottleneck restricting the intelligent development of the corrosion protection of the weak alkaline system. Therefore, developing a corrosion inhibition efficiency real-time monitoring technology that can integrate multi-dimensional parameters, has interference correction ability, and can realize automatic early warning has become an urgent need to solve the current industry pain points. The present application is based on this demand and proposes a weak alkaline system corrosion inhibitor corrosion inhibition efficiency real-time monitoring method and system based on a sensor array, aiming to overcome the defects of the existing technology and provide more reliable technical support for the corrosion protection of the weak alkaline system. SUMMARY

[0006] Based on the above technical problems, the present application discloses a weak alkaline system corrosion inhibitor corrosion inhibition efficiency real-time monitoring method and system based on a sensor array. The weak alkaline system corrosion inhibitor corrosion inhibition efficiency real-time monitoring method based on a sensor array specifically includes:

[0007] Constructing a multi-dimensional sensor array;

[0008] Embedding the constructed multi-dimensional sensor array into the weak alkaline corrosion inhibition system to be monitored, building a data acquisition unit, and connecting the data acquisition unit and the multi-dimensional sensor array through shielded wires;

[0009] Performing initial calibration through the data acquisition unit and the multi-dimensional sensor array, and collecting each initial baseline parameter under the current blank system;

[0010] Adding a target corrosion inhibitor to the weak alkaline system that has completed initial calibration, and continuously collecting each real-time monitoring parameter of the weak alkaline corrosion inhibition system during the corrosion inhibition process through the multi-dimensional sensor array by using the data acquisition unit;

[0011] Constructing a multi-parameter coupling model, processing each real-time monitoring parameter collected, and obtaining the real-time corrosion rate of the weak alkaline corrosion inhibition system under the current state;

[0012] According to the real-time corrosion rate, obtaining the corrosion rate of the blank system, calculating the real-time corrosion efficiency through the conventional corrosion rate calculation logic, setting the minimum qualified threshold of the corrosion efficiency, and controlling the warning.

[0013] Preferably, the sensor array includes an electrochemical sensing unit, an environmental parameter sensing unit, and a surface state sensing unit; the electrochemical sensing unit adopts a three-electrode system structure, the working electrode material of the current system is consistent with the material of the metal to be protected in the weak alkaline corrosion system, the reference electrode is a saturated calomel electrode, and the auxiliary electrode is a platinum electrode; the environmental parameter sensing unit includes a pH sensor for detecting the pH of the system, an ion selective electrode for detecting the content of corrosive ions in the system, and a temperature sensor for detecting the temperature of the system; the surface state sensing unit adopts a quartz crystal microbalance sensor.

[0014] Preferably, the initial baseline parameters specifically include the initial linear polarization resistance value and the initial galvanic current value detected by the electrochemical sensing unit, the initial pH, the initial corrosive ion content, and the initial temperature of the system detected by the environmental parameter sensing unit, and the initial frequency detected by the surface state sensing unit; the obtained initial baseline parameters are stored in the database of the data acquisition unit.

[0015] Preferably, the multi-parameter coupling model is constructed to process each real-time monitoring parameter collected, specifically including:

[0016] According to the difference between the real-time detected system temperature and the obtained initial temperature, performing temperature compensation processing on the real-time detected linear polarization resistance to obtain the linear polarization resistance after temperature correction;

[0017] The environmental disturbance coefficient for quantifying the disturbance degree of environmental factors is constructed based on the deviation of the real-time monitored system pH value from the initial pH value and the deviation of the real-time monitored corrosive ion content from the initial corrosive ion content.

[0018] The real-time corrosion rate of the weak alkaline corrosion inhibition system in the current state is calculated by substituting the temperature-compensated linear polarization resistance, the ratio of the real-time galvanic current to the initial galvanic current, the difference between the real-time frequency and the initial frequency, and the constructed environmental disturbance coefficient into the multi-parameter coupling analysis model.

[0019] Preferably, the temperature-corrected linear polarization resistance has the formula: R p,T = R p,real × [1 + k T × (T real - T0)], wherein R p,T is the temperature-corrected linear polarization resistance, R p,real is the real-time detected linear polarization resistance, k T is a temperature compensation coefficient, T real is the real-time monitored system temperature, and T0 is the obtained initial temperature.

[0020] Preferably, the environmental disturbance coefficient has the formula: wherein K env is the environmental disturbance coefficient, pH real is the real-time monitored system pH value, pH0 is the obtained initial pH value, a is a pH deviation influence weight coefficient, C real is the real-time monitored system corrosive ion content, C0 is the obtained initial corrosive ion content, and β is a corrosive ion content deviation influence weight coefficient.

[0021] Preferably, the real-time corrosion rate has the formula: wherein v real is the real-time corrosion rate, K is a corrosion rate calculation constant, I r is the ratio of the real-time galvanic current to the initial galvanic current, and the formula is: I real is the real-time detected galvanic current, I0 is the obtained initial value of the galvanic current, R p,T is the temperature-corrected linear polarization resistance, K env is the constructed environmental disturbance coefficient, γ is a frequency difference influence coefficient, f reql is the real-time monitored frequency, and f0 is the initial frequency.

[0022] Preferably, when the obtained initial value of the blank system linear polarization resistance is used to calculate the blank system corrosion rate, the formula is: Where v0 is the corrosion rate of the blank system, A is the corrosion constant, T0 is the initial temperature at which the corrosion rate is obtained, and R is the corrosion rate of the blank system. p0 The initial value of the linear polarization resistance of the blank system is obtained, where n is the valence coefficient of the metal ion.

[0023] Preferably, the step of calculating the real-time corrosion inhibition efficiency using conventional corrosion inhibition rate calculation logic, and setting a minimum qualified threshold for corrosion inhibition efficiency and control warnings, specifically includes: calculating the real-time corrosion inhibition efficiency using the following formula: Where η is the real-time corrosion inhibition efficiency, and v real v0 represents the calculated real-time corrosion rate of the weakly alkaline corrosion-inhibiting system under its current state, while v0 represents the calculated corrosion rate of the blank system. Based on the corrosion protection requirements of the weakly alkaline system, a minimum acceptable threshold η for corrosion inhibition efficiency is pre-set in the data acquisition unit. min The data acquisition unit will transmit the calculated η and η in real time. min Perform a comparison; when η < η min When η ≥ η, the data acquisition unit automatically triggers the preset audible and visual alarm function, continuously emitting alarm signals until η ≥ η. min Alternatively, the alarm can be manually disabled to provide timely warnings of abnormal corrosion inhibition effects.

[0024] A real-time monitoring system for the corrosion inhibition efficiency of weakly alkaline corrosion inhibitors based on sensor arrays includes a multi-dimensional sensor array unit, a data acquisition unit, a multi-parameter coupling analysis unit, and an early warning control unit.

[0025] The multi-dimensional sensor array unit includes an electrochemical sensing unit, an environmental parameter sensing unit, and a surface state sensing unit, which are used to be directly embedded into the weakly alkaline corrosion inhibition system to be monitored, and to collect electrochemical parameters, environmental parameters, and surface state parameters related to corrosion inhibition efficiency in real time.

[0026] The data acquisition unit receives the output of the multi-dimensional sensor array unit and transmits the real-time monitoring parameter signals to the multi-parameter coupling analysis unit.

[0027] The multi-parameter coupling analysis unit receives real-time monitoring parameter signals from the data acquisition unit through the multi-parameter coupling model, retrieves the initial reference parameters from the data storage and calibration unit, and sequentially completes linear polarization resistance temperature compensation, environmental interference coefficient construction, and real-time corrosion rate calculation. The calculated real-time corrosion rate signal is then transmitted to the early warning control unit.

[0028] The early warning control unit retrieves the real-time corrosion rate signal from the multi-parameter coupling analysis unit and the corrosion rate and real-time corrosion inhibition efficiency of the blank system corresponding to the initial reference parameters in the data storage and calibration unit, and triggers an early warning through the built-in minimum qualified threshold for corrosion inhibition efficiency.

[0029] Compared with the prior art, the technical solution of this application has the following technical effects:

[0030] The present application can realize real-time and continuous monitoring of the corrosion inhibition efficiency of weak alkaline system corrosion inhibitors, effectively solving the problem of lagging of traditional offline detection. By directly embedding a multi-dimensional sensor array into the system to be monitored, combining with the uninterrupted collection of parameters by the data acquisition unit, and then rapidly processing and calculating through the multi-parameter coupling analysis unit, the real-time corrosion rate and corrosion inhibition efficiency can be obtained instantly without waiting for the offline experimental results. When the corrosion inhibitor efficiency fluctuates due to changes in the system environment, the change trend can be captured in the first time, providing data support for the staff to timely grasp the corrosion inhibition effect and quickly take intervention measures, avoiding the risk of equipment corrosion due to the failure to discover the corrosion inhibition failure in time.

[0031] The present application significantly improves the accuracy of corrosion inhibition efficiency monitoring and avoids the limitations of single parameter monitoring. The multi-dimensional sensor array constructed by the present application can synchronously collect electrochemical, environmental and surface state parameters, and the multi-parameter coupling analysis unit can also correct temperature deviation through temperature compensation processing, quantify the influence of environmental interference on pH and corrosion ion content changes, and reduce the error of single parameter caused by environmental interference. At the same time, based on the multi-parameter comprehensive calculation of real-time corrosion rate and corrosion inhibition efficiency, the actual effect of the corrosion inhibitor can be more comprehensively reflected, avoiding the misjudgment of corrosion inhibition efficiency caused by single parameter, and meeting the high requirements of industrial scenes on monitoring accuracy.

[0032] The present application has an automatic warning function, which reduces the cost of manual operation and the risk of human error. The warning control unit pre-sets the minimum qualified threshold of corrosion inhibition efficiency, and compares the calculated corrosion inhibition efficiency with the threshold in real time. When the corrosion inhibition efficiency is lower than the threshold, the audible and visual alarm is automatically triggered without the need for manual continuous monitoring of data. This design not only reduces the labor input of manual operation, but also avoids the problem of delayed warning caused by manual judgment delay or data interpretation error, ensuring that the corrosion inhibition effect can be quickly responded when it is abnormal, and further ensuring the safe and stable operation of the metal equipment in the weak alkaline system.

[0033] The monitoring system and method of the present application are highly adaptable and can be flexibly applied to various weak alkaline industrial scenes. In the multi-dimensional sensor array, the working electrode material of the electrochemical sensing unit can be adjusted according to the metal material to be protected, the environmental parameter sensing unit can adapt to the monitoring needs of pH and ion type in different weak alkaline systems, and the correlation coefficient of the multi-parameter coupling model can also be set according to the specific scene. Whether it is a petroleum chemical circulating water system, a metal processing cooling liquid system, or a building concrete curing liquid environment, the present application can stably realize corrosion inhibition efficiency monitoring and provide a general technical solution for corrosion protection of weak alkaline systems in different industries.

[0034] The above description is only a summary of the technical solutions of the present application. In order to make the technical means of the present application more clear, so as to be implemented according to the content of the description, and in order to make the above and other purposes, characteristics and advantages of the present application more obvious and easy to understand, the following will be described in detail with the preferred embodiments of the present application and in cooperation with the drawings as follows.

[0035] The above and other purposes, advantages and characteristics of the present application will be more apparent to those skilled in the art from the following detailed description of specific embodiments of the present application in conjunction with the accompanying drawings. BRIEF DESCRIPTION OF DRAWINGS

[0036] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or the prior art description will be briefly introduced as follows. Obviously, the drawings in the following description are some embodiments of the present application, and those skilled in the art can also obtain other drawings according to these drawings without creating any creative labor. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn according to the actual proportions.

[0037] According to the description of the drawings in the document and the corresponding technical content, the titles of the drawings are as follows:

[0038] Figure 1 : Weak alkaline system corrosion inhibitor inhibition efficiency real-time monitoring method flowchart;

[0039] Figure 2 : Multi-parameter coupling model construction and real-time corrosion rate calculation flowchart;

[0040] Figure 3 : Weak alkaline system corrosion inhibitor inhibition efficiency real-time monitoring system architecture schematic diagram;

[0041] Figure 4 : Comparison curve of inhibition efficiency changing with experimental time in two weak alkaline scenes;

[0042] Figure 5 : Correlation comparison curve of corrosion related parameters and real-time corrosion rate in different weak alkaline scenes;

[0043] Figure 6 : Comparison curve of frequency change of metal surface quartz crystal microbalance in two weak alkaline scenes. DETAILED DESCRIPTION

[0044] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the following will be combined with the accompanying drawings for the embodiments of the present application to make a clear and complete description of the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. In the following description, specific details such as specific configurations and components are provided only for the purpose of helping to fully understand the embodiments of the present application. Therefore, those skilled in the art should clearly understand that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of the present application. In addition, in order to be clear and concise, the description of known functions and structures is omitted in the embodiments.

[0045] It should be understood that the "one embodiment" or "the embodiment" mentioned throughout the specification means that the specific features, structures or characteristics related to the embodiment are included in at least one embodiment of the present application. Therefore, "one embodiment" or "the embodiment" appearing throughout the specification does not necessarily refer to the same embodiment. In addition, these specific features, structures or characteristics can be combined in one or more embodiments in any suitable manner.

[0046] In addition, reference numerals and / or letters can be repeated in different examples in the present application. Such repetition is for the purpose of simplification and clarity, and does not in itself indicate a relationship between the various embodiments and / or arrangements discussed.

[0047] The term "and / or" herein is only a description of the association relationship of the associated objects, which means that there can be three relationships, for example, A and / or B can mean that A exists alone, B exists alone, and A and B exist together. The term "and" herein is a description of another association relationship of the associated objects, which means that there can be two relationships, for example, A and B can mean that A exists alone and A and B exist together. In addition, the character " / " herein generally means that the associated objects before and after are in an "or" relationship.

[0048] The term "at least one" herein is only a description of the association relationship of the associated objects, which means that there can be three relationships, for example, at least one of A and B can mean that A exists alone, A and B exist together, and B exists alone.

[0049] It should also be noted that, in this document, relationship terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that there is any such actual relationship or order between these entities or operations. Moreover, the terms "include", "contain" or any other variants thereof are intended to cover non-exclusive inclusion.

[0050] Embodiment 1

[0051] The embodiment mainly describes a real-time monitoring method for the inhibition efficiency of a weak alkaline system inhibitor based on a sensor array, as shown in the following specific steps: Figure 1 The embodiment mainly describes a real-time monitoring method for the inhibition efficiency of a weak alkaline system inhibitor based on a sensor array, as shown in the following specific steps:

[0052] Construct a multi-dimensional sensor array;

[0053] The sensor array comprises three types of functional sensing units, namely an electrochemical sensing unit, an environmental parameter sensing unit and a surface state sensing unit. The electrochemical sensing unit adopts a three-electrode system structure, the material of the working electrode of the system is consistent with the material of the metal to be protected in the weak alkaline corrosion system, the reference electrode is a saturated calomel electrode, and the auxiliary electrode is a platinum electrode. The environmental parameter sensing unit comprises a pH sensor for detecting the pH value of the system, an ion selective electrode for detecting the content of corrosive ions in the system, and a temperature sensor for detecting the temperature of the system. The surface state sensing unit adopts a quartz crystal microbalance sensor. The outer surfaces of all the sensing units are packaged with an anti-corrosion coating, which is made of polytetrafluoroethylene, and the thickness of the coating is controlled within a reasonable range for conventional anti-corrosion applications.

[0054] Embed the constructed sensor array into the weak alkaline corrosion system to be monitored to ensure that the detection end of each sensing unit can directly contact the medium of the weak alkaline corrosion system. At the same time, a data acquisition unit is built, which is connected with the sensor array through shielded wires, the outer layer of the shielded wires is wrapped with a fluororubber protective layer with weak alkaline resistance, and the sampling frequency of the data acquisition unit is set to a reasonable frequency that can meet the real-time monitoring requirements.

[0055] Perform initial calibration operation on the sensor array through the built data acquisition unit. First, place the sensor array in a blank weak alkaline system without adding an inhibitor, and collect the initial baseline parameters of each item in the blank system through the data acquisition unit, including the initial values of linear polarization resistance and galvanic current detected by the electrochemical sensing unit, the initial pH value, the initial corrosive ion content and the initial temperature detected by the environmental parameter sensing unit, and the initial frequency detected by the surface state sensing unit. After the collection is completed, store all the initial baseline parameters in the database of the data acquisition unit as the baseline basis for subsequent monitoring and analysis.

[0056] Add the target inhibitor to the weak alkaline system that has completed the initial calibration, and then start the real-time monitoring process. The data acquisition unit continuously collects the real-time monitoring parameters of the weak alkaline corrosion system during the inhibition process through the sensor array, including the linear polarization resistance and galvanic current detected by the electrochemical sensing unit, the pH value, the corrosive ion content and the temperature of the system detected by the environmental parameter sensing unit, and the frequency detected by the surface state sensing unit.

[0057] As shown in the following specific steps:Figure 2 A multi-parameter coupling analysis model is constructed, and the model is used for comprehensive processing of the collected real-time monitoring parameters;

[0058] According to the difference between the real-time monitored system temperature and the obtained initial temperature, the temperature-compensated linear polarization resistance is obtained by using the Arrhenius formula for temperature compensation processing of the real-time detected linear polarization resistance;

[0059] Based on the deviation of the real-time monitored system pH value from the initial pH value and the deviation of the real-time monitored corrosive ion content from the initial corrosive ion content, an environmental disturbance coefficient for quantifying the degree of environmental factor disturbance is constructed;

[0060] The temperature-compensated linear polarization resistance, the ratio of the real-time galvanic current to the initial galvanic current, the difference between the real-time frequency and the initial frequency, and the constructed environmental disturbance coefficient are jointly substituted into the multi-parameter coupling analysis model, and the real-time corrosion rate of the weak alkaline corrosion inhibition system in the current state is calculated through the model;

[0061] The temperature-compensated linear polarization resistance is calculated according to the formula: R p,T = R p,real × [1 + k T × (T real -T0)], wherein R p,T is the temperature-compensated linear polarization resistance, R p,ral is the real-time detected linear polarization resistance, k T is the temperature compensation coefficient, T real is the real-time monitored system temperature, and T0 is the obtained initial temperature.

[0062] The environmental disturbance coefficient formula is: wherein K env is the environmental disturbance coefficient, pH real is the real-time monitored system pH value, pH0 is the obtained initial pH value, a is the pH deviation influence weight coefficient, C real is the real-time monitored system corrosive ion content, C0 is the obtained initial corrosive ion content, and β is the corrosive ion content deviation influence weight coefficient.

[0063] The real-time corrosion rate formula is: wherein v real is the real-time corrosion rate, K is the corrosion rate calculation constant, I r is the ratio of the real-time galvanic current to the initial galvanic current, and the formula is: I real is the real-time detected galvanic current, I0 is the obtained initial value of the galvanic current, and R p,TR is the linear polarization resistance after temperature correction, K env is the constructed environmental interference coefficient, γ is the frequency difference influence coefficient, f real is the real-time monitored frequency, f0 is the initial frequency.

[0064] According to the calculation of the real-time corrosion rate, combined with the calculation of the blank system corrosion rate based on the initial value of the linear polarization resistance of the blank system, the real-time corrosion inhibition efficiency is calculated by using the conventional corrosion inhibition rate calculation logic (i.e. through the difference between the blank system corrosion rate and the real-time corrosion rate, the proportion of the blank system corrosion rate). The change trend of the corrosion inhibition efficiency is displayed in real time by the data acquisition unit in the form of a curve; the minimum qualified threshold of the corrosion inhibition efficiency is set in the data acquisition unit in advance, and when the real-time calculated corrosion inhibition efficiency is lower than the preset threshold, the data acquisition unit automatically triggers the sound and light alarm function to prompt the abnormal corrosion inhibition effect.

[0065] Further, the obtained initial value of the linear polarization resistance of the blank system is used to calculate the corrosion rate of the blank system, and the formula is: wherein v0 is the corrosion rate of the blank system, A is the corrosion constant, T0 is the initial temperature, R p0 is the obtained initial value of the linear polarization resistance of the blank system, and n is the valence state coefficient of metal ions.

[0066] Further, the real-time corrosion inhibition efficiency is calculated by using the conventional corrosion inhibition rate calculation logic, and the minimum qualified threshold of the corrosion inhibition efficiency and the control warning are set, which specifically includes: calculating the real-time corrosion inhibition efficiency, and the formula is: wherein η is the real-time corrosion inhibition efficiency, v real is the calculated real-time corrosion rate of the weak alkaline corrosion system under the current state, and v0 is the calculated corrosion rate of the blank system; according to the corrosion protection requirements of the weak alkaline system, the minimum qualified threshold η min of the corrosion inhibition efficiency is set in the data acquisition unit in advance, and the data acquisition unit compares the calculated η with η min in real time, when η < η min , the data acquisition unit automatically triggers the preset sound and light alarm function, and continuously sends the alarm signal until η ≥ η min or the alarm is manually intervened to be closed, so as to realize the timely warning of the abnormal corrosion inhibition effect.

[0067] The embodiment realizes real-time corrosion rate and inhibition efficiency calculation by collecting the electrochemical, environmental and surface state parameters of the weak alkaline system in real time through a multi-dimensional sensor array, and through data acquisition and multi-parameter coupling analysis, combining temperature compensation and environmental interference coefficient correction. The problems of traditional offline detection lag and low accuracy of existing single parameter monitoring are effectively solved. At the same time, the early warning control unit realizes automatic alarm of abnormal inhibition efficiency, and can adapt to different weak alkaline industrial scenes, providing real-time, accurate and automatic technical support for metal equipment corrosion protection.

[0068] Embodiment 2

[0069] The embodiment describes in detail the real-time monitoring system for the inhibition efficiency of the weak alkaline system inhibitor based on the sensor array, as shown in Figure 3 The embodiment describes in detail the real-time monitoring system for the inhibition efficiency of the weak alkaline system inhibitor based on the sensor array, as shown in

[0070] The multi-dimensional sensor array unit is the signal sensing core of the system, and its structure is consistent with the sensor array, including an electrochemical sensing unit, an environmental parameter sensing unit and a surface state sensing unit, which are used to directly embed into the weak alkaline inhibition system to be monitored, to collect the electrochemical parameters (linear polarization resistance, galvanic current), environmental parameters (system pH, corrosion ion content, temperature) and surface state parameters (frequency) related to the inhibition efficiency in real time, and convert the collected physical / chemical signals into transmittable electrical signals;

[0071] The data acquisition unit is connected with the multi-dimensional sensor array unit through a shielded wire at one end, and is in communication connection with the data storage unit, the calibration unit and the multi-parameter coupling analysis unit at the other end, for receiving the electrical signals output by the multi-dimensional sensor array unit, continuously collecting and denoising the signals at a preset sampling frequency, and transmitting the processed initial reference parameter signals to the data storage unit and the calibration unit, and transmitting the real-time monitoring parameter signals to the multi-parameter coupling analysis unit;

[0072] The data storage unit and the calibration unit are in bidirectional communication with the data acquisition and transmission unit and the multi-parameter coupling analysis unit, for storing the blank system initial reference parameters (same as the initial reference parameters) transmitted by the data acquisition and transmission unit, and based on the initial reference parameters, the real-time acquisition signals of the multi-dimensional sensor array unit are initially calibrated to eliminate the initial error of the sensor, and the initial reference parameters required for calculation are provided for the multi-parameter coupling analysis unit;

[0073] A multi-parameter coupling analysis unit is connected with the data acquisition and transmission unit, the data storage and calibration unit, and the corrosion inhibition efficiency calculation and early warning control unit, and is internally provided with the multi-parameter coupling model. The multi-parameter coupling analysis unit is used to receive the real-time monitoring parameter signal of the data acquisition and transmission unit, to call the initial reference parameter of the data storage and calibration unit, to sequentially complete linear polarization resistance temperature compensation, environment interference coefficient construction, and real-time corrosion rate calculation, and to transmit the calculated real-time corrosion rate signal to the early warning control unit.

[0074] The early warning control unit is connected with the multi-parameter coupling analysis unit and the data storage and calibration unit, and is used to call the real-time corrosion rate signal of the multi-parameter coupling analysis unit and the blank system corrosion rate corresponding to the initial reference parameter in the data storage and calibration unit, to calculate the real-time corrosion inhibition efficiency, and to internally provide a corrosion inhibition efficiency minimum qualified threshold setting module and an alarm triggering module. The early warning control unit is used to compare the calculated corrosion inhibition efficiency with the preset threshold value in real time, and to automatically trigger an audible and light alarm when the corrosion inhibition efficiency is lower than the threshold value, so as to realize real-time early warning of abnormal corrosion inhibition effect.

[0075] The embodiment details that the monitoring system can real-time collect the electrochemical, environmental and surface state parameters of the weak alkaline corrosion inhibition system through a multi-dimensional sensor array, transmit the data through a data acquisition unit, accurately calculate the real-time corrosion rate through a multi-parameter coupling analysis unit in combination with temperature compensation and environment interference coefficient correction, and calculate the corrosion inhibition efficiency and automatically alarm according to a threshold value through an early warning control unit. The embodiment can solve the problems of lagging of traditional offline detection and low precision of single parameter monitoring, and is suitable for various weak alkaline industrial scenes, and provides real-time, accurate and automatic protection for metal equipment corrosion protection.

[0076] Based on the embodiment 1 or 2, the embodiment details the application of the sensor array-based weak alkaline system corrosion inhibitor corrosion inhibition efficiency real-time monitoring method and system in various scenes, and verifies the applicability and technical effectiveness in typical industrial scenes of a weak alkaline industrial circulating water system and a weak alkaline metal processing cooling liquid system. Specifically,

[0077] For the weak alkaline industrial circulating water system scene, a closed circulating water storage tank with a volume of 50L is used, a 20# carbon steel pipeline (consistent with the pipeline material commonly used in the circulating water system of a petrochemical enterprise) is arranged in the tank, and a circulating pump (the flow rate is set to 1.2L / min to simulate the flow state of the industrial circulating water) is matched with the tank. After deionized water is injected into the tank, NaHCO3 and a small amount of NaOH are added to adjust the pH of the system to 8.32, NaCl is added to make the initial Cl- concentration reach 108.6mg / L (to simulate the corrosion ions brought in by make-up water in the industrial circulating water), and a small amount of Ca 2+ (32.4mg / L) and Mg 2+(21.8 mg / L), and the ion composition of the actual circulating water was reduced. An industrial-grade imidazoline corrosion inhibitor (effective ingredient content 65.3%) was selected, and was added to the system at a concentration of 22.5 mg / L. The corrosion inhibitor is a commonly used type for petroleum and chemical circulating water systems, and is suitable for weak alkaline environments.

[0078] For the weak alkaline metalworking coolant system scenario, a 20 L coolant circulating tank was used, and a 304 stainless steel test piece (size 50 mm x 25 mm x 3 mm, consistent with the commonly used material of tools and workpieces in the field of metalworking in mechanical manufacturing) was placed in the tank, and a stirring device (rotating speed 150 r / min, simulating the flow state of the coolant in the machining process) was used. Water-based emulsified metalworking coolant (base fluid: mineral oil and polyethylene glycol compound system, emulsifier content 8.7%) was injected into the tank, and the pH of the system was adjusted to 8.56 by adding ethanolamine, and the initial temperature was controlled at 30.8℃. An organic amine corrosion inhibitor (main ingredient: fatty amine polyoxyethylene ether, effective content 58.2%) was selected, and was added to the system at a concentration of 15.8 mg / L. This type of corrosion inhibitor is widely used in metalworking coolants, and can effectively inhibit the pitting and crevice corrosion of stainless steel in weak alkaline emulsions.

[0079] The two scenarios both used the multi-dimensional sensor array described in the present application: the working electrode of the electrochemical sensing unit was matched with the corresponding scenario of the metal material to be protected (20# carbon steel electrode for the industrial circulating water scenario, and 304 stainless steel electrode for the metalworking coolant scenario), the reference electrode was a saturated calomel electrode (potential stability ±0.002 V), and the auxiliary electrode was a platinum sheet electrode (area 1 cm 2 ); in the environmental parameter sensing unit, the pH sensor had a measurement accuracy of ±0.01 pH, the Cl- ion selective electrode had a detection lower limit of 0.1 mg / L, the metalworking coolant scenario was additionally equipped with a SO42- ion selective electrode (because SO4 2- was introduced into the coolant in the scenario by additives, and the initial concentration was 18.3 mg / L), the temperature sensor had a measurement range of 0-100℃ and an accuracy of ±0.1℃, and the surface state sensing unit was a quartz crystal microbalance sensor (resonant frequency 5 MHz, frequency resolution 0.1 Hz). The sampling frequency of the data acquisition unit was set to 1 time / min, and the coefficients in the multi-parameter coupling analysis unit were preset according to the scenario characteristics (for the industrial circulating water scenario: k T = 0.0032℃ -1 , α = 0.21, β = 0.32, K = 2.8 x 10 -6 mm / (h·μA), γ = 0.0021 mm / (h·Hz), A = 1.1 x 10 -3 mm·℃ / (h·Ω), n = 2; for the metalworking coolant scenario: k T = 0.0038℃ -1, a = 0.24, b = 0.38, K = 2.6 x 10 -6 mm / (h mA), g = 0.0016 mm / (h Hz), A = 0.9 x 10 -3 mm°C / (h W), n = 2), the minimum qualified threshold of the corrosion inhibition efficiency of the early warning control unit is set to 80%. The experiment lasts for 72 hours, during which the monitoring data are recorded in real time, and the technical effect of the system under different scenarios is analyzed.

[0080] During the experiment, the corrosion inhibition efficiency of the two scenarios is collected and analyzed in real time by the system, and the corrosion inhibition efficiency-time change curve is obtained, as shown in Figure 4 , curve 1 corresponds to the weak alkaline industrial circulating water system, and curve 2 corresponds to the weak alkaline metalworking coolant system.

[0081] As can be seen from Figure 4 , in the initial stage of the experiment (0-12h), the corrosion inhibition efficiency of the two scenarios shows a gradual upward trend, and the rising rate gradually slows down: in the industrial circulating water scenario, the corrosion inhibition efficiency increases from the initial 42.3% to 89.7% at 8h, reaches 91.5% at 11h and enters the stable stage, and then fluctuates between 90.8%-92.3% within 72 hours, with an average corrosion inhibition efficiency of 91.6%; in the metalworking coolant scenario, the corrosion inhibition efficiency increases from the initial 38.6% to 86.4% at 10h, reaches 88.2% at 12h and tends to be stable, and then stabilizes at 87.5%-89.1%, with an average corrosion inhibition efficiency of 88.3%. This process is completely consistent with the adsorption-film forming rule of the corrosion inhibitor on the metal surface. In the initial stage, the corrosion inhibitor is quickly adsorbed, and the corrosion inhibition efficiency increases rapidly. When the corrosion film is formed completely, the efficiency enters the stable interval, proving that the system can accurately capture the dynamic process of the corrosion inhibitor action, and the stable corrosion inhibition efficiency under the two scenarios is higher than the preset threshold of 80%, without triggering the early warning.

[0082] At 48 h, the sudden disturbance in the simulated industrial scene was simulated: concentrated brine was added to the industrial circulating water system at once, making the Cl- concentration rise from 108.6 mg / L to 297.4 mg / L; the temperature of the metalworking coolant system was raised by the heating device, making the temperature rise from 30.8 °C to 44.6 °C within 1 h (simulating the temperature rise of the coolant caused by tool frictional heat during processing). After the disturbance, the corrosion inhibition efficiency of the industrial circulating water scene decreased to 83.2% at 49.5 h, and then gradually recovered to 89.6% at 54.8 h due to the readjustment of the adsorption state of the corrosion inhibitor on the metal surface, and then remained between 89.2% and 90.5%. The corrosion inhibition efficiency of the metalworking coolant scene decreased to 81.5% at 50.2 h, and then slowly recovered to 87.2% at 55.6 h due to the natural heat dissipation of the system (the temperature gradually fell to 37.8 °C) and the adaptation of the corrosion inhibitor to the temperature change, and then remained between 86.8% and 88.3%. During the entire disturbance-recovery process, the system recorded the subtle fluctuations of the corrosion inhibition efficiency (the minimum fluctuation amplitude was 0.3%), and there was no data loss or delay. The traditional offline detection method (such as the weight loss method) needs at least 24 h to obtain one data, and cannot capture such short-time and small-amplitude efficiency changes, and cannot grasp the recovery trend in time, highlighting the real-time advantage of the system.

[0083] The system synchronously recorded the real-time corrosion rate and key environmental parameters (Cl- concentration in the industrial circulating water scene and temperature in the metalworking coolant scene) of the two scenes, and obtained the real-time corrosion rate-environmental parameter correlation curve, as shown in Figure 5 The left vertical coordinate is the real-time corrosion rate (unit: mm / a), and the right vertical coordinate is the environmental parameter value. (a) is the Cl- concentration, and the solid line represents the real-time corrosion rate, and the dashed line represents the environmental parameter value.

[0084] From Figure 5(a) (industrial circulating water scene) It can be seen that 48h before the experiment, the Cl- concentration was stable at 108.6-110.2mg / L, and the real-time corrosion rate was stable at 0.086-0.098mm / a, and the average corrosion rate was 0.092mm / a; after the Cl- concentration suddenly rose to 297.4mg / L at 48h, the corrosion rate gradually increased, reaching 0.153mm / a (increased by 66.3% compared with the initial average rate) at 49.5h, and then although the Cl- concentration remained at 295.8-298.1mg / L, the corrosion rate gradually decreased to 0.105mm / a at 54.8h, and then stabilized at 0.102-0.108mm / a. This data shows that the increase in Cl- concentration will damage the integrity of the corrosion inhibitor film, leading to an increase in corrosion rate, but the corrosion inhibitor can re-adsorb by adjusting the molecular structure to partially repair the corrosion inhibitor film, so that the corrosion rate falls close to the initial level. The system accurately captures the complete process of "Cl- concentration mutation-corrosion rate increase-corrosion inhibitor repair-corrosion rate fall", providing accurate data support for judging the anti-interference ability of the corrosion inhibitor.

[0085] From Figure 5 (b) (metalworking coolant scene) It can be seen that 48h before the experiment, the temperature was stable at 30.8-31.5℃, the real-time corrosion rate was stable at 0.062-0.073mm / a, and the average corrosion rate was 0.068mm / a; the temperature started to rise at 48h, reaching 44.6℃ at 49h, and the corresponding corrosion rate increased synchronously, reaching 0.121mm / a (increased by 78.0% compared with the initial average rate) at 50.2h, and then the temperature gradually fell to 37.8℃ at 55.6h, and the corrosion rate decreased to 0.083mm / a, and then stabilized at 0.080-0.085mm / a. The increase in temperature will accelerate the electrochemical reaction rate on the metal surface, and at the same time reduce the adsorption constant of the corrosion inhibitor on the metal surface, leading to an increase in corrosion rate. The system clearly records the positive correlation between temperature and corrosion rate, and can distinguish between the "rate increase caused by temperature rise" and the "rate decrease caused by temperature drop + corrosion inhibitor adaptation" two stages, avoiding causal misjudgment that may occur in single parameter monitoring. Comparing the initial average corrosion rates of the two scenes, the metalworking coolant scene (0.068mm / a) is lower than the industrial circulating water scene (0.092mm / a), because the corrosion resistance of 304 stainless steel is better than that of 20# carbon steel, and the emulsified components in the coolant can form an oil film to assist in corrosion prevention. The system accurately reflects the difference in corrosion rate caused by the difference in material and medium, and embodies good monitoring accuracy.

[0086] The mass change of the corrosion inhibition film on the metal surface in two scenarios was monitored in real time by a quartz crystal microbalance sensor (indirectly represented by the change in frequency, a decrease in frequency corresponds to an increase in the mass of the corrosion inhibition film, and an increase in frequency corresponds to the damage or shedding of the corrosion inhibition film). The frequency change-time curve is shown in FIG. 1, where curve 1 corresponds to the industrial circulating water scenario, and curve 2 corresponds to the metalworking coolant scenario. A negative value indicates that the frequency is lower than the initial value (corresponding to the formation of the corrosion inhibition film), and a positive value indicates that the frequency is higher than the initial value (corresponding to the damage of the corrosion inhibition film). Figure 6

[0087] In the initial stage of the experiment (0-12 h), the frequency of both scenarios showed a rapid downward trend. In the industrial circulating water scenario, the frequency decreased from 0 Hz to -48.6 Hz at 8 h, and then to -51.3 Hz at 11 h and stabilized, and then maintained between -50.8 and -51.5 Hz. In the metalworking coolant scenario, the frequency decreased from 0 Hz to -40.2 Hz at 10 h, and then to -42.5 Hz at 12 h and stabilized, and then maintained between -41.8 and -42.7 Hz. The continuous decrease in frequency indicates that the corrosion inhibitor is continuously adsorbed on the metal surface to form a corrosion inhibition film, and the film mass gradually increases. This trend is completely synchronized with the gradual increase and stabilization of the corrosion efficiency in the above-mentioned experiment, proving that there is a direct correlation between the surface state parameters and the corrosion effect. By monitoring the frequency change, the system can verify the authenticity of the corrosion efficiency from the "corrosion inhibition film mass" dimension, avoiding the deviation caused by relying only on electrochemical parameters. Figure 1

[0088] After 48 h of interference testing, the frequency in the industrial circulating water scenario increased to -39.2 Hz at 49.5 h (an increase of 12.1 Hz from the stable value), and then gradually decreased to -49.8 Hz at 54.8 h (close to the stable value before the interference), and then maintained between -49.5 and -50.2 Hz. The frequency in the metalworking coolant scenario increased to -34.8 Hz at 50.2 h (an increase of 7.7 Hz from the stable value), and then decreased to -41.2 Hz at 55.6 h (close to the stable value before the interference), and then maintained between -40.9 and -41.5 Hz. The increase in frequency indicates that the interference factors (increased Cl- concentration and increased temperature) cause local damage to the corrosion inhibition film, resulting in a decrease in film mass. The decrease in frequency indicates that the corrosion inhibitor is re-adsorbed in the damaged area to repair the corrosion inhibition film, and the film mass is restored. This change is completely synchronized with the above-mentioned experiment, proving that there is a direct correlation between the surface state parameters and the corrosion effect. By monitoring the frequency change, the system can verify the authenticity of the corrosion efficiency from the "corrosion inhibition film mass" dimension, avoiding the deviation caused by relying only on electrochemical parameters. Figure 2 ​​The trend of "corrosion rate first increases and then decreases" completely corresponds, forming a complete data chain of "environmental parameter change - corrosion inhibitor film state change - corrosion rate change - corrosion efficiency change", proving that the system can comprehensively and stereoscopically reflect the dynamic change of the corrosion inhibition effect through multi-dimensional parameter monitoring, avoiding the one-sidedness of single parameter monitoring. In addition, the frequency change range (maximum -51.3 Hz) of the industrial circulating water scene is greater than that of the metal processing cooling liquid scene (maximum -42.5 Hz), which indicates that the corrosion inhibitor film formed by the imidazoline corrosion inhibitor is thicker and of higher quality, which is consistent with the higher corrosion efficiency (average 91.6%) in this scene, further verifying the consistency and rationality of the system monitoring data.

[0089] Through experimental verification in two scenes of weak alkaline industrial circulating water system and weak alkaline metal processing cooling liquid system, the system can realize continuous real-time monitoring of corrosion efficiency, real-time corrosion rate and surface state parameters in both scenes, with data resolution of 0.1% (corrosion efficiency), 0.001 mm / a (corrosion rate) and 0.1 Hz (frequency), which can capture subtle parameter fluctuations; In the face of common industrial disturbances such as Cl- concentration mutation and temperature fluctuation, the system can respond to parameter changes within 1 minute, record the "interference - fluctuation - recovery" process completely, without data delay or loss; By adapting to different scene metal materials, ion composition and corrosion inhibitor types, the system shows good scene adaptability, and the monitoring data is highly consistent with the corrosion inhibitor action mechanism and metal corrosion law, without misjudgment or deviation.

[0090] This embodiment describes in detail that the corrosion inhibitor corrosion efficiency can be stably and accurately monitored in different weak alkaline industrial scenes, providing reliable technical support for corrosion protection of industrial equipment.

[0091] The above is only a preferred embodiment of the present application, which does not limit the protection scope of the present application. For those skilled in the art, the present application can have various changes and variations; any change, modification, replacement, integration and parameter change of these embodiments within the spirit and principles of the present application, which can realize the same function without departing from the principles and spirit of the present application, falls within the protection scope of the present application.

Claims

1. A method for real-time monitoring of corrosion inhibition efficiency of a weakly alkaline system based on a sensor array, characterized in that, Includes the following steps: Construct a multi-dimensional sensor array; The constructed multi-dimensional sensor array is embedded into the weakly alkaline corrosion inhibition system to be monitored, and a data acquisition unit is built. The data acquisition unit is connected to the multi-dimensional sensor array through shielded wires. Initial calibration is performed using a data acquisition unit and a multi-dimensional sensor array, and various initial reference parameters under the current blank system are collected. The target corrosion inhibitor was added to the weakly alkaline system that had completed the initial calibration, and the data acquisition unit continuously collected various real-time monitoring parameters of the weakly alkaline corrosion inhibitor system during the corrosion inhibition process through a multi-dimensional sensor array. A multi-parameter coupled model was constructed to process the collected real-time monitoring parameters and obtain the real-time corrosion rate of the weakly alkaline corrosion inhibitor system under the current condition. The corrosion rate of the blank system is obtained based on the real-time corrosion rate. The real-time corrosion inhibition efficiency is calculated using conventional corrosion inhibition rate calculation logic. The minimum qualified threshold for corrosion inhibition efficiency is set, and control and early warning are implemented.

2. The method for real-time monitoring of corrosion inhibition efficiency of a weakly alkaline system corrosion inhibitor based on a sensor array according to claim 1, characterized in that, The sensor array includes an electrochemical sensing unit, an environmental parameter sensing unit, and a surface state sensing unit. The electrochemical sensing unit adopts a three-electrode system, with the working electrode material of the current system being consistent with the material of the metal to be protected in the weakly alkaline corrosion system. The reference electrode is a saturated calomel electrode, and the auxiliary electrode is a platinum electrode. The environmental parameter sensing unit includes a pH sensor for detecting the acidity or alkalinity of the system, an ion-selective electrode for detecting the content of corrosive ions in the system, and a temperature sensor for detecting the temperature of the system. The surface state sensing unit uses a quartz crystal microbalance sensor.

3. The method for real-time monitoring of corrosion inhibition efficiency of a weakly alkaline system corrosion inhibitor based on a sensor array according to claim 1, characterized in that, The initial reference parameters specifically include: the initial values ​​of linear polarization resistance and galvanic current detected by the electrochemical sensing unit, the initial pH, initial corrosive ion content and initial temperature of the system detected by the environmental parameter sensing unit, and the initial frequency detected by the surface state sensing unit; the acquired initial reference parameters are stored in the database of the data acquisition unit.

4. The method for real-time monitoring of corrosion inhibition efficiency of a weakly alkaline system corrosion inhibitor based on a sensor array according to claim 1, characterized in that, The construction of a multi-parameter coupled model processes the collected real-time monitoring parameters, specifically including: Based on the difference between the real-time monitored system temperature and the initial temperature, the real-time monitored linear polarization resistance is subjected to temperature compensation processing to obtain the temperature-corrected linear polarization resistance. Based on the deviation between the real-time monitored system pH and the initial pH, and the deviation between the real-time monitored corrosive ion content and the initial corrosive ion content, an environmental interference coefficient is constructed to quantify the degree of interference from environmental factors. The temperature-compensated linear polarization resistance, the ratio of real-time galvanic current to initial galvanic current, the difference between real-time frequency and initial frequency, and the constructed environmental interference coefficient are all substituted into the multi-parameter coupled analysis model to calculate the real-time corrosion rate of the weakly alkaline corrosion inhibitor system under the current condition.

5. The method for real-time monitoring of corrosion inhibition efficiency of a weakly alkaline system corrosion inhibitor based on a sensor array according to claim 4, characterized in that, The temperature-corrected linear polarization resistance is formulated as follows: R p,T =R p,real ×[1+k T ×(T real -T0)], where R p,T R is the temperature-corrected linear polarization resistance. p,real For real-time detection of linear polarization resistance, k T T is the temperature compensation coefficient. real T0 represents the system temperature monitored in real time, while T0 represents the initial temperature obtained.

6. The method for real-time monitoring of corrosion inhibition efficiency of a weakly alkaline system corrosion inhibitor based on a sensor array according to claim 4, characterized in that, The formula for the environmental interference coefficient is: Where K env Environmental disturbance coefficient, pH real The system's pH level is monitored in real time. pH0 represents the initial pH level, α is the weighting coefficient for pH deviation, and C... real The value represents the corrosive ion content within the system as monitored in real time. C0 represents the initial corrosive ion content obtained, and β represents the weighting coefficient for the influence of the deviation in corrosive ion content.

7. The method for real-time monitoring of corrosion inhibition efficiency of a weakly alkaline system corrosion inhibitor based on a sensor array according to any one of claims 4, 5, or 6, characterized in that, The formula for the real-time corrosion rate is: Where v real The real-time corrosion rate is given by K, which is the corrosion rate calculation constant, and I... r The ratio of the real-time thermocouple current to the initial thermocouple current is given by the formula: I real The thermocouple current is detected in real time, I0 is the initial value of the acquired thermocouple current, and R... p,T K is the temperature-corrected linear polarization resistance. env The environmental interference coefficient is constructed, γ is the frequency difference influence coefficient, and f is the environmental interference coefficient. real f0 is the frequency for real-time monitoring and f0 is the initial frequency.

8. The method for real-time monitoring of corrosion inhibition efficiency of a weakly alkaline system corrosion inhibitor based on a sensor array according to claim 1, characterized in that, When calculating the corrosion rate of the blank system using the initial value of the obtained linear polarization resistance of the blank system, the formula is: Where v0 is the corrosion rate of the blank system, A is the corrosion constant, T0 is the initial temperature at which the corrosion rate is obtained, and R is the corrosion rate of the blank system. p0 The initial value of the linear polarization resistance of the blank system is obtained, where n is the valence coefficient of the metal ion.

9. The method for real-time monitoring of corrosion inhibition efficiency of a weakly alkaline system corrosion inhibitor based on a sensor array according to claim 1, characterized in that, The process involves calculating the real-time corrosion inhibition efficiency using conventional corrosion inhibition rate calculation logic, and setting a minimum acceptable threshold and control warning for the corrosion inhibition efficiency. Specifically, this includes calculating the real-time corrosion inhibition efficiency using the following formula: Where η is the real-time corrosion inhibition efficiency, and v real v0 represents the calculated real-time corrosion rate of the weakly alkaline corrosion-inhibiting system under its current state, while v0 represents the calculated corrosion rate of the blank system. Based on the corrosion protection requirements of the weakly alkaline system, a minimum acceptable threshold η for corrosion inhibition efficiency is pre-set in the data acquisition unit. min The data acquisition unit will transmit the calculated η and η in real time. min Perform a comparison; when η < η min When η ≥ η, the data acquisition unit automatically triggers the preset audible and visual alarm function, continuously emitting alarm signals until η ≥ η. min Alternatively, the alarm can be manually disabled to provide timely warnings of abnormal corrosion inhibition effects.

10. A real-time monitoring system for the corrosion inhibition efficiency of a weakly alkaline corrosion inhibitor based on a sensor array, applicable to any one of claims 1-9, characterized in that, It includes a multi-dimensional sensor array unit, a data acquisition unit, a multi-parameter coupling analysis unit, and an early warning control unit; The multi-dimensional sensor array unit includes an electrochemical sensing unit, an environmental parameter sensing unit, and a surface state sensing unit, which are used to be directly embedded into the weakly alkaline corrosion inhibition system to be monitored, and to collect electrochemical parameters, environmental parameters, and surface state parameters related to corrosion inhibition efficiency in real time. The data acquisition unit receives the output of the multi-dimensional sensor array unit and transmits the real-time monitoring parameter signals to the multi-parameter coupling analysis unit. The multi-parameter coupling analysis unit receives real-time monitoring parameter signals from the data acquisition unit through the multi-parameter coupling model, retrieves the initial reference parameters from the data storage and calibration unit, and sequentially completes linear polarization resistance temperature compensation, environmental interference coefficient construction, and real-time corrosion rate calculation. The calculated real-time corrosion rate signal is then transmitted to the early warning control unit. The early warning control unit retrieves the real-time corrosion rate signal from the multi-parameter coupling analysis unit and the corrosion rate and real-time corrosion inhibition efficiency of the blank system corresponding to the initial reference parameters in the data storage and calibration unit, and triggers an early warning through the built-in minimum qualified threshold for corrosion inhibition efficiency.

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