Intelligent electrochemical repair system and method for corrosion of galvanized bracket

Abstract

The application provides a kind of galvanized support corrosion intelligent electrochemical repair system and method, including intelligent control terminal, composite sensing array, flexible reconfigurable electrode array, hybrid energy and power management module, wireless communication and networking module and cloud platform.Composite sensing array distributedly collects corrosion state and environmental parameters, and intelligent control terminal generates optimal current control instruction through built-in machine learning model to drive flexible sacrificial anode unit to apply electrochemical protection.Non-destructive installation is adopted, and quantitative evaluation and closed-loop adjustment of repair effect are realized through micro-zone electrochemical impedance detection, and hybrid energy power supply guarantees long-term operation.Through parameter acquisition, prediction analysis, current control, protection application, effect evaluation and data uploading, intelligent and precise protection is realized.The application does not need to stop production, supports remote cluster management, greatly improves operation and maintenance efficiency, reduces protection cost, and is suitable for corrosion repair of galvanized support in communication tower, photovoltaic power station and other scenes.

Description

Technical Field

[0001] This invention relates to the field of metal corrosion protection and repair technology, and in particular to an intelligent electrochemical repair system and method for rust on galvanized brackets. Background Technology

[0002] Galvanized steel supports are widely used in infrastructure such as communication towers, power towers, bridges, and building curtain walls due to their excellent corrosion resistance and economy. However, during long-term service, the galvanized layer may experience localized damage due to mechanical damage, chemical corrosion (such as acid rain and salt spray), or electrochemical corrosion (such as contact with dissimilar metals), leading to corrosion of the base steel. Corrosion not only weakens the structural load-bearing capacity but also accelerates the peeling of the protective layer due to the "rust expansion effect," endangering the overall structural safety.

[0003] For galvanized supports already installed, traditional corrosion repair methods (such as manual rust removal followed by painting or thermal spraying) have significant limitations: they require work stoppages and production shutdowns, are difficult to implement, rely on manual labor for quality control, struggle to handle complex structures and internal corrosion, and cannot provide long-term protection. Electrochemical protection technologies, especially sacrificial anode methods, have been used for corrosion protection in underground pipelines, ships, and other fields, but their application to installed galvanized supports faces specific challenges: 1) The supports have complex structures and many exposed parts, making traditional anode placement difficult and unsightly; 2) Environmental factors (temperature, humidity, electrolyte changes) fluctuate dynamically, requiring real-time adjustments to protection parameters; 3) There is a lack of online and accurate methods for evaluating the repair effect. Therefore, there is an urgent need to develop an intelligent repair system that can operate autonomously based on the environment and corrosion status, and can be remotely monitored and managed. Summary of the Invention

[0004] The purpose of this invention is to provide an intelligent electrochemical repair system and method for rust on galvanized brackets. This system can be installed in situ for a long period of time without affecting the normal use of the bracket. It can intelligently sense the rust status and environmental parameters, adaptively adjust the electrochemical protection parameters, and use Internet of Things technology to realize remote monitoring and cluster management, thereby achieving intelligent, precise, and long-term repair and protection of bracket rust.

[0005] According to one objective of the present invention, an intelligent electrochemical repair system for galvanized bracket corrosion is provided, comprising an intelligent control terminal, a composite sensor array, a flexible reconfigurable electrode array, a hybrid energy and power management module, and a wireless communication and networking module. The intelligent control terminal, as the core of the system, includes a microprocessor, a data storage unit, and an intelligent control algorithm module, which incorporates a machine learning-based corrosion prediction and optimization model. The composite sensor array is distributed and attached to key parts of the bracket to be repaired, used to collect corrosion state parameters and environmental parameters. The flexible reconfigurable electrode array includes multiple flexible sacrificial anode units and a conductive connector serving as a cathode, with each flexible sacrificial anode unit independently connected to the intelligent control terminal. The hybrid energy and power management module supplies power to the system, and the wireless communication and networking module enables data transmission.

[0006] Furthermore, the composite sensing array includes a micro-area electrochemical sensor, a temperature and humidity sensor, a salinity sensor, and a pH sensor; the micro-area electrochemical sensor is a miniature three-electrode system capable of measuring open-circuit potential, polarization resistance, or electrochemical impedance spectroscopy.

[0007] Furthermore, the flexible sacrificial anode unit is composed of a flexible substrate and an active metal material. The flexible substrate is an engineering fabric or a polymer film, and the active metal material is a magnesium alloy or a zinc alloy. The flexible sacrificial anode unit is non-destructively fixed to the galvanized bracket by mechanical clamps or high-strength adhesives.

[0008] Furthermore, the hybrid energy and power management module includes a main power supply and at least one environmental energy harvester; the main power supply is a rechargeable battery or a supercapacitor, and the environmental energy harvester is one or more of a solar panel, a micro wind turbine, or a piezoelectric vibration energy harvester.

[0009] Furthermore, the corrosion prediction model in the intelligent control algorithm module is a recurrent neural network model trained based on historical corrosion data and environmental time series data. The optimization model is used to calculate the optimal output current parameters of each flexible sacrificial anode unit.

[0010] Furthermore, it also includes a cloud platform and a remote monitoring center, which are used to receive and store data uploaded by the system, perform big data analysis, visualization and health status assessment, and issue control policies.

[0011] Furthermore, multiple systems are connected to form a wireless sensor network via wireless communication and networking modules, with one system acting as the master node and the others as slave nodes, to achieve cluster management.

[0012] According to another objective of the present invention, the present invention provides an intelligent electrochemical repair method for rust on galvanized brackets, employing the above-described system and comprising the following steps: S1: Non-destructively install the composite sensor array and flexible reconfigurable electrode array at selected locations where galvanized brackets have been installed; S2: Start the system and acquire initial corrosion state parameters and environmental parameters through the composite sensor array; S3: Based on the acquired parameters, the intelligent control terminal calculates the predicted value of corrosion development in the target area over a period of time through the built-in corrosion prediction model; S4: Based on the predicted corrosion development value and current environmental parameters, generate real-time current control commands for each flexible sacrificial anode unit through an optimized model; S5: Drives the corresponding flexible sacrificial anode unit to apply electrochemical protection to the support.

[0013] Furthermore, step S5 is followed by: S6: Periodically perform electrochemical impedance measurements using micro-area electrochemical sensors in the composite sensor array to obtain the polarization resistance value of the repaired metal interface; S7: Compare the polarization resistance value with the historical value or threshold to evaluate the repair effect, and adaptively adjust the current control command in step S4 based on the evaluation result to form a closed-loop control circuit.

[0014] Furthermore, step S7 is followed by S8: uploading system operation data, sensor data, and evaluation results to a remote cloud platform via a wireless communication and networking module for storage, analysis, and visualization; the current control command includes current magnitude, direction, and / or pulse parameters. This invention's technical solution requires no downtime and adapts to complex-structured, already-installed galvanized brackets through a non-destructive installation method, without affecting the structural appearance or function. It integrates a multi-dimensional sensor array and machine learning model, enabling real-time perception of corrosion and environmental dynamics, and proactively and adaptively adjusting protection parameters for precise and active protection. Quantitative evaluation of repair effectiveness is achieved through micro-area electrochemical impedance spectroscopy, forming a closed-loop control system to ensure repair reliability. A hybrid energy supply design enhances adaptability to environments without stable power supplies, while low-power configuration extends maintenance cycles. Simultaneously, it supports wireless networking and cloud platform management, enabling remote monitoring and efficient operation and maintenance of large-scale bracket clusters, significantly reducing overall protection costs. Attached Figure Description

[0015] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0016] Figure 1 This is a schematic diagram of the overall architecture of the intelligent electrochemical repair system according to an embodiment of the present invention; Figure 2 This is a flowchart of the system operation in an embodiment of the present invention. Detailed Implementation

[0017] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] In the description of this invention, it should be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," and "counterclockwise," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limiting this invention.

[0019] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the stated features. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified. Furthermore, the terms "installed," "connected," and "linked" should be interpreted broadly; for example, they may refer to a fixed connection, a detachable connection, or an integral connection; a mechanical connection or an electrical connection; a direct connection or an indirect connection through an intermediate medium; or a connection within two components. Those skilled in the art will understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0020] Example 1 like Figure 1As shown, an intelligent electrochemical repair system for rust on galvanized brackets includes: Intelligent control terminal: As the core of the system, it includes a microprocessor, a data storage unit, and an intelligent control algorithm module. The intelligent control algorithm module has a built-in machine learning-based corrosion prediction and optimization model, which is used to process sensor data and generate optimal current control commands.

[0021] Composite sensor array: Distributedly attached to key areas of the scaffold to be repaired, including micro-area electrochemical sensors (such as miniature three-electrode systems) for monitoring the degree of corrosion, and temperature, humidity, salinity, and pH sensors for monitoring environmental parameters. The micro-area electrochemical sensors can measure open-circuit potential, polarization resistance, or electrochemical impedance spectroscopy (EIS).

[0022] Flexible reconfigurable electrode array: This includes multiple flexible sacrificial anode units and a conductive connector serving as the cathode. Each flexible sacrificial anode unit is composed of a flexible substrate (such as engineered fabric or polymer film) and an active metal material (such as magnesium alloy or zinc alloy strip) pressed / coated onto it. It can be bent and fitted according to the shape of the support and is non-destructively fixed using mechanical clamps or high-strength adhesives. Each anode unit is independently connected to an intelligent control terminal via wires, enabling independent zone control.

[0023] Hybrid Energy and Power Management Module: Includes a main power source and at least one environmental energy harvester. The main power source is a rechargeable battery or a supercapacitor; the environmental energy harvester includes one or more of solar panels, micro-wind generators, or piezoelectric vibration energy harvesters. The power management module is responsible for energy storage, distribution, and optimal scheduling.

[0024] Wireless communication and networking module: Integrated into the intelligent control terminal, it is used to upload system status data (sensor data, operating parameters, fault information) to the remote cloud platform and receive control commands or algorithm model updates from the cloud platform.

[0025] Cloud platform and remote monitoring center: Receives and stores data from multiple repair systems, performs big data analysis, visualization, and health status assessment, and issues control policies to specific systems.

[0026] The workflow of this invention's system is as follows: a composite sensor array collects corrosion and environmental data in real time and uploads it to an intelligent control terminal; the intelligent control algorithm, based on current and historical data, uses a corrosion prediction model to determine the corrosion development rate and risk level, and calls an optimization model to calculate the optimal output current (magnitude, direction, and duty cycle) for each flexible sacrificial anode unit; the power management module supplies power to each anode unit, causing it to release protective current; simultaneously, the system periodically performs simplified EIS scans using a micro-area electrochemical sensor to evaluate the change in polarization resistance in the repaired area, quantify the repair effect, and fine-tune the control strategy accordingly, forming a closed-loop control. All data is synchronized to the cloud platform via a wireless communication module.

[0027] Example 2 like Figure 1 As shown, an intelligent electrochemical repair system for rust on galvanized brackets includes: The intelligent control terminal includes a microprocessor and an intelligent control algorithm module; Composite sensor arrays are used to monitor the degree of corrosion and environmental parameters; A flexible reconfigurable electrode array, including at least one flexible sacrificial anode unit; Power module; The intelligent control algorithm module is used to control the operation of the flexible reconfigurable electrode array based on the data from the composite sensor array.

[0028] Specifically, the intelligent control algorithm module has a built-in corrosion prediction model and / or current parameter optimization model based on machine learning.

[0029] The corrosion prediction model is a recurrent neural network model trained based on historical corrosion data and environmental time-series data.

[0030] The composite sensor array includes a micro-area electrochemical sensor for monitoring the degree of corrosion; the micro-area electrochemical sensor is a miniature three-electrode system capable of measuring open-circuit potential, polarization resistance, or electrochemical impedance spectroscopy. The composite sensor array also includes at least one of a temperature and humidity sensor, a salinity sensor, and a pH sensor.

[0031] Specifically, the flexible sacrificial anode unit includes a flexible substrate and an active metal layer disposed on the flexible substrate; the flexible substrate is an engineered fabric or a polymer film; the active metal layer is a magnesium alloy or a zinc alloy.

[0032] The flexible reconfigurable electrode array includes multiple independent flexible sacrificial anode units, each of which is independently connected to the intelligent control terminal to achieve independent zone control.

[0033] Specifically, the system also includes a fixing component for non-destructively fixing the flexible sacrificial anode unit to the galvanized bracket; the fixing component is a mechanical clamp or a high-strength adhesive.

[0034] Specifically, the power module is a hybrid energy module, including a main power supply and at least one environmental energy harvester; the environmental energy harvester is a solar panel, a micro wind generator, or a piezoelectric vibration energy harvester.

[0035] The system also includes a wireless communication module for data interaction with a remote cloud platform.

[0036] Multiple systems are connected to form a wireless sensor network via the wireless communication module, with one system acting as the master node and the others as slave nodes.

[0037] like Figure 2 As shown, a smart electrochemical repair method for rust on installed galvanized brackets, using the above-described system, includes the following steps: Obtain the corrosion status parameters and environmental parameters of the galvanized bracket; Based on the parameters, a current control command is generated using an intelligent algorithm; According to the current control command, the flexible sacrificial anode unit is driven to operate in order to apply electrochemical protection.

[0038] Specifically, the step of generating the current control command includes: calculating the predicted value of corrosion development based on current and historical parameters using a corrosion prediction model; and generating the current control command based on the predicted value of corrosion development.

[0039] After applying electrochemical protection, an effect evaluation step is also included: measuring the electrochemical impedance of the repaired area using a micro-area electrochemical sensor, calculating the polarization resistance, and evaluating the repair effect based on the change in the polarization resistance.

[0040] Specifically, it also includes a closed-loop adjustment step: adaptively adjusting the next current control command based on the results of the effect evaluation step.

[0041] Specifically, it also includes a data uploading step: uploading the corrosion status parameters, environmental parameters, current control commands, and effect evaluation results to a remote cloud platform.

[0042] Example 3 Repair system for galvanized brackets of communication towers This embodiment addresses the repair of galvanized angle steel supports at the base of communication towers in a coastal area, which are susceptible to salt spray corrosion.

[0043] like Figure 1 As shown, the system configuration is as follows: Intelligent control terminal: It adopts a low-power ARM Cortex-M4 core microprocessor, and the built-in intelligent control algorithm module has a pre-trained LSTM (Long Short-Term Memory) network prediction model for "galvanized steel-salt spray environment".

[0044] Composite sensor array: Three monitoring points are arranged on each of two horizontal planes at heights of 0.5 meters and 1 meter above the ground on the support frame. Each monitoring point integrates a miniature three-electrode sensor (the working electrode is an exposed tiny steel point, the reference electrode is Ag / AgCl, and the counter electrode is a platinum wire), a temperature and humidity sensor, and a salt deposition sensor.

[0045] Flexible reconfigurable electrode array: Two 30mm wide flexible magnesium alloy anode strips are wrapped and attached to the outside of the angle steel on the two aforementioned height planes. The back of the anode strip is covered with a high-strength weather-resistant adhesive layer, and reinforced with stainless steel clamps. Each anode strip is divided into three independent electrode segments along its length, corresponding to the three monitoring points above.

[0046] Energy module: A 20W flexible solar panel is attached to the sun-facing side of the tower to charge a 12V / 20Ah lithium-ion battery pack. The power management module features maximum power point tracking (MPPT).

[0047] Communication module: It adopts a 4G DTU module, which sends data packets to the cloud platform every hour.

[0048] Work process: After the system is powered on, the open-circuit potential at each point is measured using all miniature three-electrode sensors to determine the initial corrosion state. The intelligent control terminal reads the data from each sensor (potential, temperature, humidity, salinity) and inputs it into the LSTM prediction model. The model outputs the "predicted corrosion current density" for each monitoring point area over the next 24 hours. The control algorithm combines this predicted value with the ambient humidity and salinity data, and through a preset optimization function, calculates the optimal anode output current required to maintain the potential at each point at the zinc protection potential (approximately -1.05V vs. CSE). Upon command issuance, each flexible anode segment begins operation.

[0049] Each week, the system automatically performs a simplified single-frequency EIS measurement (e.g., measuring the impedance modulus at 1 kHz) at each monitoring point during the low humidity period in the early morning, calculating the polarization resistance Rp at that point. The Rp value is compared with the baseline value at the beginning of system operation and the value of the previous week. If Rp increases significantly and tends to stabilize, it indicates that the repair is effective, and the anode current in that area can be appropriately reduced to save materials; if Rp decreases, the current is increased. All data and adjustment records are uploaded to the cloud.

[0050] Maintenance personnel can view real-time potential curves, historical Rp trend charts, anode consumption warnings, and other information for all monitoring points through the cloud platform from their office, achieving unmanned and precise operation and maintenance.

[0051] Example 4 Repair network system for galvanized bracket clusters in photovoltaic power plants This embodiment addresses the protection issue of tens of thousands of galvanized steel supports in large-scale desert photovoltaic power plants.

[0052] like Figure 1 As shown, the system configuration is as follows: Each photovoltaic array is mounted on a simplified slave node device, which mainly includes: an integrated control and communication MCU, a temperature and humidity sensor, a flexible zinc alloy anode strip (uniformly controlled, not segmented), a miniature vibration energy harvester (generating electricity by utilizing wind-induced support vibration), and a small-capacity supercapacitor.

[0053] Install a regional master node near the combiner box or inverter room of the photovoltaic array. The master node includes a more powerful processor, a solar power system, a LoRaWAN gateway, and a more comprehensive sensor array (adding pH and SO2 sensors).

[0054] All slave nodes communicate with the regional master node via the low-power LoRa protocol, and the master node connects to the main cloud platform via a 4G network.

[0055] Work process: The node collects ambient temperature and humidity data every minute and measures the loop resistance between the support and the anode (indirectly reflecting the conductivity of the electrolyte layer) every half hour, and sends this low-volume information to the master node.

[0056] The regional master node aggregates data from all slave nodes within its region and runs a lightweight corrosion rate assessment algorithm. This algorithm primarily determines the corrosion risk level (high, medium, or low) based on temperature, humidity, and historical resistivity data. For slave nodes in high-risk areas, the master node issues an instruction to continuously output a microcurrent through their anodes; for low-risk areas, it commands them to enter an intermittent operating mode (e.g., working for 10 minutes, then sleeping for 50 minutes) to conserve energy and anode material.

[0057] The cloud platform provides an overview of risk maps for all areas, automatically generating anode material consumption prediction reports and inspection priority lists to guide on-site personnel in targeted maintenance (such as replacing anode strips at certain nodes). With extremely low single-point costs and network advantages, this system achieves cost-effective corrosion protection coverage for ultra-large-scale infrastructure clusters.

[0058] Example 5 Method Implementation Examples like Figure 2 As shown, an intelligent electrochemical remediation method based on the aforementioned system includes the following steps: S1: Non-destructively install the composite sensor array and flexible reconfigurable electrode array at selected locations where galvanized brackets have been installed.

[0059] S2: Start the system and acquire initial corrosion state parameters and environmental parameters through the composite sensor array.

[0060] S3: Based on the acquired parameters, the intelligent control terminal calculates the predicted value of corrosion development in the target area over a future period using a built-in corrosion prediction model.

[0061] S4: Based on the predicted corrosion development value and current environmental parameters, generate real-time current control commands for each flexible sacrificial anode unit through an optimized model, including current magnitude, direction and / or pulse parameters.

[0062] S5: Drives the corresponding flexible sacrificial anode unit to apply electrochemical protection to the support.

[0063] S6: Periodically perform electrochemical impedance spectroscopy measurements using micro-area electrochemical sensors in the composite sensor array to obtain the polarization resistance value of the repaired metal interface.

[0064] S7: Compare the polarization resistance value with the historical value or threshold to evaluate the repair effect, and adaptively adjust the current control command in step S4 based on the evaluation result to form a closed-loop control circuit.

[0065] S8: Uploads system operation data, sensor data, and evaluation results to a remote cloud platform via a wireless communication module for storage, analysis, and visualization.

[0066] In summary, this invention introduces a machine learning-based prediction and optimization model, enabling the system to proactively adjust protection parameters, adapt to dynamic environments, and achieve a leap from passive response to active protection. Employing a flexible, reconfigurable electrode array and a non-destructive installation method, it perfectly adapts to various complex shapes of existing supports (such as angle steel, round pipes, and nodes), ensuring convenient installation without affecting the structural appearance or function.

[0067] This invention integrates in-situ detection technologies such as micro-area EIS, enabling direct and quantitative assessment of changes in the metal / electrolyte interface state before and after repair, achieving a closed loop of "repair-assessment-optimization" to ensure reliable repair quality. Through wireless networking and a cloud platform, it allows for "one-map" management of the corrosion status of all supports in large-scale infrastructure clusters (such as an entire wind farm or along a high-speed rail line), greatly improving operation and maintenance efficiency. The hybrid energy design enhances the system's survivability in environments without a stable power supply, while optimized power management and low-power design extend maintenance cycles.

[0068] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A smart electrochemical repair system for rust on galvanized brackets, characterized in that, The system comprises an intelligent control terminal, a composite sensor array, a flexible reconfigurable electrode array, a hybrid energy and power management module, and a wireless communication and networking module. The intelligent control terminal, as the system core, includes a microprocessor, a data storage unit, and an intelligent control algorithm module. This intelligent control algorithm module incorporates a machine learning-based corrosion prediction and optimization model. The composite sensor array is distributed and attached to key parts of the support to be repaired to collect corrosion status parameters and environmental parameters. The flexible reconfigurable electrode array includes multiple flexible sacrificial anode units and a conductive connector serving as the cathode. Each flexible sacrificial anode unit is independently connected to the intelligent control terminal. The hybrid energy and power management module supplies power to the system, and the wireless communication and networking module enables data transmission.

2. The intelligent electrochemical repair system for galvanized bracket corrosion according to claim 1, characterized in that, The composite sensor array includes a micro-area electrochemical sensor, a temperature and humidity sensor, a salinity sensor, and a pH sensor; the micro-area electrochemical sensor is a miniature three-electrode system capable of measuring open-circuit potential, polarization resistance, or electrochemical impedance spectroscopy.

3. The intelligent electrochemical repair system for galvanized bracket corrosion according to claim 1, characterized in that, The flexible sacrificial anode unit is composed of a flexible substrate and an active metal material. The flexible substrate is an engineering fabric or a polymer film, and the active metal material is a magnesium alloy or a zinc alloy. The flexible sacrificial anode unit is non-destructively fixed to the galvanized bracket by mechanical clamps or high-strength adhesives.

4. The intelligent electrochemical repair system for galvanized bracket corrosion according to claim 1, characterized in that, The hybrid energy and power management module includes a main power source and at least one environmental energy harvester; the main power source is a rechargeable battery or a supercapacitor, and the environmental energy harvester is one or more of a solar panel, a micro wind turbine, or a piezoelectric vibration energy harvester.

5. The intelligent electrochemical repair system for galvanized bracket corrosion according to claim 1, characterized in that, The corrosion prediction model in the intelligent control algorithm module is a recurrent neural network model trained based on historical corrosion data and environmental time series data. The optimization model is used to calculate the optimal output current parameters of each flexible sacrificial anode unit.

6. The intelligent electrochemical repair system for rust on galvanized brackets according to claim 1, characterized in that, It also includes a cloud platform and a remote monitoring center, which are used to receive and store data uploaded by the system, perform big data analysis, visualization and health status assessment, and issue control policies.

7. The intelligent electrochemical repair system for rust on galvanized brackets according to claim 1, characterized in that, Multiple systems are connected to form a wireless sensor network via wireless communication and networking modules, with one system acting as the master node and the others as slave nodes, to achieve cluster management.

8. A smart electrochemical repair method for rust on galvanized brackets, characterized in that, The system according to any one of claims 1-7 includes the following steps: S1: Non-destructively install the composite sensor array and flexible reconfigurable electrode array at selected locations where galvanized brackets have been installed; S2: Start the system and acquire initial corrosion state parameters and environmental parameters through the composite sensor array; S3: Based on the acquired parameters, the intelligent control terminal calculates the predicted value of corrosion development in the target area over a period of time through the built-in corrosion prediction model; S4: Based on the predicted corrosion development value and current environmental parameters, generate real-time current control commands for each flexible sacrificial anode unit through an optimized model; S5: Drives the corresponding flexible sacrificial anode unit to apply electrochemical protection to the support.

9. The intelligent electrochemical repair method for rust on galvanized brackets according to claim 8, characterized in that, Step S5 is followed by: S6: Periodically perform electrochemical impedance measurements using micro-area electrochemical sensors in the composite sensor array to obtain the polarization resistance value of the repaired metal interface; S7: Compare the polarization resistance value with the historical value or threshold to evaluate the repair effect, and adaptively adjust the current control command in step S4 based on the evaluation result to form a closed-loop control circuit.

10. The intelligent electrochemical repair method for rust on galvanized brackets according to claim 9, characterized in that, Step S7 is followed by S8: Uploading system operation data, sensor data, and evaluation results to a remote cloud platform via a wireless communication and networking module for storage, analysis, and visualization; the current control command includes current magnitude, direction, and / or pulse parameters.

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