Intelligent anti-corrosion system of potassic salt ore electromechanical equipment and readable storage medium

Abstract

The invention discloses an intelligent anti-corrosion system for potassic salt ore electromechanical equipment and a readable storage medium, and belongs to the technical field of mine electromechanical equipment corrosion prevention. Aiming at the extreme environment of high temperature, high humidity and high chloride ion corrosion under a potassium salt mine, the system integrates four core parts: a subsystem for maintaining dynamic clean air micro-positive pressure in a cavity of electromechanical equipment; the coating subsystem comprises an electrochemical protection layer capable of actively adsorbing chloride ions; the sealing subsystem is made of an intelligent material capable of triggering solid-viscoelastic state phase change; and the monitoring and early warning subsystem is used for realizing early warning of corrosion by fusing acoustics and magnetic signals. According to the invention, through multi-level, active and intelligent cooperative protection, the durability and operation reliability of electromechanical equipment in an extreme corrosion environment are fundamentally improved.

Description

Technical Field

[0001] This invention relates to the field of corrosion protection technology for mining machinery and equipment, and in particular to an intelligent corrosion protection system and a readable storage medium for potash mine machinery and equipment. Background Technology

[0002] Potash mines are an important source of potash fertilizer for agriculture, but their underground environment poses an extreme threat to electromechanical equipment such as frequency converters, motors, and switchgear. This environment has the following characteristics: high concentration of chloride ions, inducing pitting corrosion and stress corrosion cracking; temperatures consistently above 40°C and relative humidity exceeding 90%, greatly accelerating electrochemical corrosion; acidic or alkaline brine droplets; and the synergistic effect of corrosive dust and vibration wear.

[0003] Currently, conventional anti-corrosion paints, stainless steel, or galvanizing are mainly used, but these measures quickly fail in potash mine environments. Ordinary seals are prone to developing gaps under thermal cycling and vibration, becoming channels for corrosive media to enter. Existing technologies lack a systematic approach and cannot provide early warnings of corrosion, resulting in short lifespans, high failure rates, and huge maintenance costs for electromechanical equipment, severely hindering safe production.

[0004] Therefore, there is an urgent need for an innovative anti-corrosion solution that can systematically and proactively address the complex corrosive environment of potash mines. Summary of the Invention

[0005] The purpose of this invention is to overcome the shortcomings of the prior art and provide an intelligent anti-corrosion system and a readable storage medium for potash mine electromechanical equipment.

[0006] To achieve the above objectives, the present invention provides the following technical solution: In a first aspect, this application provides an intelligent anti-corrosion system for potash mine electromechanical equipment, comprising: Micro-positive pressure subsystem: A micro-positive pressure environment is established and maintained within the cavity of electromechanical equipment to block external corrosive gases; The coating subsystem covers the outer surface of electromechanical equipment and includes an active electrochemical protective layer that can be biased to actively adsorb corrosive ions. A sealing subsystem is installed at the cabinet doors and interface joints of electromechanical equipment. The material of the sealing subsystem can undergo a controllable solid-viscoelastic phase transition under specific triggering conditions. The monitoring and early warning subsystem is used to collect and process acoustic emission signals and magnetic signals from electromechanical equipment to determine the corrosion status.

[0007] Optionally, the aforementioned micro-positive pressure subsystem includes an air inlet and / or filter, a drying module, and a micro variable frequency fan connected in sequence. This system maintains dynamic micro-positive pressure through a closed-loop control algorithm and monitors the clean air flow pressure within the cavity through a pressure sensor; the target pressure setpoint of the closed-loop control algorithm is... Determined by the following formula:

[0008] in, This is a preset benchmark pressure value based on the mine's ventilation conditions. The temperature compensation coefficient is determined experimentally. The system measures the real-time temperature difference between the internal environment of the electromechanical equipment and the mine environment; it adjusts the speed of the variable frequency fan to control the measured pressure. track .

[0009] Optionally, the coating subsystem includes a base layer, an intermediate layer, and a top layer arranged from the inside out, wherein the intermediate layer disperses physically repairing microcapsules and chemically neutralizing microcapsules; the chloride ion capture efficiency of the active electrochemical protective layer... It is a function of its operating voltage and the concentration of ions in the environment, and is characterized by the following empirical formula:

[0010] in, For chloride ion capture efficiency, and These are material constants determined experimentally. The applied bias voltage, This is the threshold voltage for ion capture. The system controls the chloride ion concentration in the environment. exist The above work is to maintain effective proactive corrosion prevention capabilities.

[0011] Optionally, the phase change triggering logic of the sealing subsystem is a Boolean function. definition: when , ; when Other situations; in, To monitor the temperature, Temperature threshold For the relative humidity at the monitoring point, Humidity threshold Corrosion warning signals from the monitoring and early warning subsystem (1 indicates warning, 0 indicates normal); when When the value is 1, the material changes from a solid state to a viscoelastic state to achieve self-sealing.

[0012] Optionally, the monitoring and early warning subsystem is configured to acquire signals via acoustic sensors and extract the ringing count rate R and average frequency of acoustic emission events from them. As a feature quantity.

[0013] Optionally, the monitoring and early warning subsystem is further configured to measure the change in relative magnetic permeability of the metal body of the electromechanical equipment using a magnetic sensor. .

[0014] Optionally, the monitoring and early warning subsystem uses the following data fusion decision function D to quantitatively assess corrosion risk:

[0015] in, , , These are the baseline values ​​of each characteristic quantity under the health condition of the electromechanical equipment; , , The weight coefficients are obtained through training on historical data and satisfy the following conditions: + + =1.

[0016] Optionally, the warning level of the monitoring and early warning subsystem is divided according to the corrosion risk value D:

[0017]

[0018] when At that time, the status is determined to be safe; when ≤D< When the status is determined to be "attention," the system records the data trend. When D≥ When the status is determined to be an alarm, the system immediately issues a maintenance warning; in, and This is the warning threshold calibrated through experiments.

[0019] Optionally, the monitoring and early warning subsystem employs an improved adaptive Kalman filter algorithm to reduce noise in the acoustic signal. The observation noise covariance matrix of this algorithm... Based on the dynamic adjustment of system vibration and noise, the adjustment model is as follows:

[0020] in, The baseline observation noise covariance, To identify and determine the adjustment coefficient through the system, This represents the absolute value of the instantaneous rate of change of pressure within the micro-positive pressure subsystem; This model is used to suppress acoustic noise introduced by mechanical and electrical equipment vibration and airflow disturbance.

[0021] Secondly, this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is used to implement the control, judgment, or processing methods described above.

[0022] Compared with the prior art, this application has the following beneficial effects: Through the synergistic effect of four subsystems—micro-positive pressure, intelligent coating, adaptive sealing, and intelligent monitoring—a three-dimensional protection system is constructed, moving from the outside in and from passive to active protection, thus improving the corrosion resistance of potash mine electromechanical equipment. The micro-positive pressure system actively releases clean air, and the electrochemical protective layer actively captures corrosion ions, changing the traditional passive corrosion-bearing mode and improving the reliability of protection. The self-healing function of the coating and the phase-change self-sealing capability of the sealing material enable the system to self-repair when subjected to minor damage or the appearance of new cracks, greatly extending the maintenance cycle and service life. Through multi-sensor data fusion and AI algorithms, real-time perception and early warning of corrosion status are achieved, transforming equipment maintenance from periodic inspections to predictive maintenance, significantly improving safety and management efficiency. Attached Figure Description

[0023] Figure 1 : Overall structural block diagram of the intelligent anti-corrosion system of this invention.

[0024] Figure 2 Schematic diagram of the integration of the micro-positive pressure subsystem within the electromechanical equipment cabinet.

[0025] Figure 3 Schematic diagram of the multilayer structure and self-healing mechanism of the coating subsystem.

[0026] 10-Electromechanical equipment; 11-Cabinet door; 20-Micro positive pressure subsystem; 21-Air inlet / filter; 22-Drying module; 23-Miniature variable frequency fan; 24-Pressure sensor; 25-Clean airflow; 30-Coating subsystem; 31-Bottom layer; 32-Intermediate layer; 33-Top layer; 34-Physical repair microcapsules; 35-Chemical neutralization microcapsules; 40-Sealing subsystem; 50-Monitoring and early warning subsystem. Detailed Implementation

[0027] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. 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.

[0028] Furthermore, elements in this invention are referred to as being "fixed to" or "set on" another element, which may be directly on the other element or may also include an intervening element. When an element is considered to be "connected" to another element, it may be directly connected to the other element or may also include an intervening element. The terms "vertical," "horizontal," "left," "right," and similar expressions used herein are for illustrative purposes only and do not represent the only possible implementations.

[0029] The following embodiments illustrate in detail the preparation methods of each component in the responsive piezoelectric hydrogel for chronic wound repair provided in this application: Example 1 See Figures 1-3 This application provides an intelligent anti-corrosion system for potash mine electromechanical equipment, comprising: a micro-positive pressure subsystem 20, which establishes and maintains a micro-positive pressure environment within the cavity of the electromechanical equipment 10 to block external corrosive gases; a coating subsystem 30, which covers the outer surface of the electromechanical equipment 10 and includes an active electrochemical protective layer capable of applying a bias voltage to actively adsorb corrosive ions; a sealing subsystem 40, which is disposed at the cabinet door 11 and interface joints of the electromechanical equipment 10, wherein the material of the sealing subsystem 40 can undergo a controllable solid-viscoelastic phase transition under specific triggering conditions; and a monitoring and early warning subsystem 50, which collects and fuses acoustic emission signals and magnetic signals of the electromechanical equipment 10 to determine the corrosion status.

[0030] In this embodiment, the core of the system of the present invention consists of four subsystems. The micro-positive pressure subsystem 20 is the first line of defense of the system, and its core components include: a fan, a filter drying module 22, and a pressure sensor 24, integrated inside or outside the cabinet of the electromechanical equipment 10. The fan is responsible for drawing in external air and pressurizing it to ensure a stable positive pressure gradient is formed in the cavity. The filter drying module 22 adopts high-efficiency molecular sieve and condensation technology to effectively remove moisture, salt and other corrosive impurities from the air and prevent moisture-induced metal corrosion. The pressure sensor 24 monitors the pressure data in the cavity in real time and compares it with a preset threshold, such as... A comparison was performed, and when the pressure was detected to be below the lower limit... At this time, the system automatically triggers the fan speed regulation mechanism. All components achieve closed-loop regulation through the central control unit, ensuring a continuous and stable micro-positive pressure environment, thereby effectively blocking the intrusion of external corrosive gases and extending the service life of electromechanical equipment. In addition, the fan and filter module can be selected for internal integration or external installation according to actual operating conditions. Internal integration saves space and reduces interference, while external installation facilitates maintenance and filter replacement.

[0031] The coating subsystem 30 is a composite material layer covering all exposed metal surfaces of the electromechanical equipment 10, and includes an active electrochemical protective layer capable of applying a bias voltage to actively adsorb corrosive ions. This composite material layer typically employs a multi-layer structure design, including a bottom adhesive layer 31, an intermediate reinforcing layer, and a surface weather-resistant layer, using materials such as epoxy resin or fluorocarbon polymers to enhance adhesion and wear resistance. The active electrochemical protective layer integrates a micro-electrode grid, and an adjustable bias voltage range, typically -1.5V to +0.5V, is applied via a central control unit to actively adsorb corrosive ions such as Cl- from the environment. - or SO4 2- This forms an ion-trapping layer, thereby inhibiting electrochemical corrosion reactions. The subsystem is also equipped with a potential sensor to monitor changes in the metal surface potential in real time and compare it with a preset threshold. When an increased corrosion risk is detected, the voltage parameters are automatically optimized to ensure stable and reliable protection. Furthermore, the coating has self-healing properties; it can guide material migration to fill defects through an electric field when localized damage occurs, extending the service life of electromechanical equipment and reducing maintenance frequency.

[0032] The sealing subsystem 40 is a specific material used to fill all the seams of the cabinet doors 11, cable interfaces, etc. The material of the sealing subsystem 40 can undergo a controllable solid-viscoelastic phase transition under specific triggering conditions. The sealing subsystem 40 uses smart materials based on shape memory polymers or thermally responsive gels. The triggering condition is an ambient temperature change exceeding a preset threshold range, such as -10°C to 50°C. At this point, the material's molecular structure reorganizes, transforming from a rigid solid state to a highly elastic viscoelastic state, thereby adaptively filling gaps and forming a dynamic sealing barrier. This phase transition process is reversible; the material returns to a solid state after the temperature returns to normal, ensuring long-term sealing integrity and effectively blocking the penetration of moisture, salt spray, and corrosive ions, reducing the risk of internal corrosion of the electromechanical equipment 10. Furthermore, the subsystem integrates a miniature temperature sensor to monitor environmental parameters in real time and adjusts the phase transition trigger point through a central control unit to adapt to the complex working conditions of high humidity and high salinity in potash mines, improving the overall anti-corrosion performance of the system.

[0033] The sensors of the monitoring and early warning subsystem 50 are deployed at key corrosion-sensitive points of the electromechanical equipment 10. Their processors can be deployed locally or connected to the mine's central control system. The sensors collect environmental parameters at these key corrosion-sensitive points in real time, such as local humidity, salt spray concentration, and corrosion potential, and perform data analysis and anomaly identification using built-in algorithms. When the detected value falls below a preset lower threshold... When the processor is activated, it will immediately generate multi-level early warning signals, including audible and visual alarms and remote notifications. At the same time, it will synchronize the data to the central control system to dynamically adjust the anti-corrosion strategy and record historical trends, thereby realizing early intervention and closed-loop management of corrosion risks of electromechanical equipment.

[0034] In one specific embodiment, the aforementioned micro-positive pressure subsystem 20 includes an air inlet and / or filter 21, a drying module 22, and a micro variable frequency fan 23 connected in sequence. This system maintains dynamic micro-positive pressure through a closed-loop control algorithm and monitors the pressure of the clean airflow 25 within the cavity through a pressure sensor 24; the target pressure setpoint of the closed-loop control algorithm is... Determined by the following formula:

[0035] in, This is a preset benchmark pressure value based on the mine's ventilation conditions. The temperature compensation coefficient is determined experimentally. The system measures the real-time temperature difference between the interior of the electromechanical equipment 10 and the mine environment; it adjusts the speed of the variable frequency fan to control the measured pressure. track .

[0036] In this embodiment, the closed-loop control algorithm of the micro-positive pressure subsystem 20 is technically designed to achieve adaptive pressure adjustment. The Pa level is usually set at 20-30 Pa to balance the protective effect and energy consumption. The algorithm was calibrated by testing the minimum pressure increment required to maintain an effective seal under different temperature differences in a simulated mine environment; for example, 0.5 Pa / ℃ can be used. This algorithm is executed by the PLC programmable logic controller built into the electromechanical equipment 10, which adjusts the fan speed through PID proportional-integral-derivative control to ensure… Stable at nearby.

[0037] In one specific embodiment, the coating subsystem 30 includes a bottom layer 31, an intermediate layer 32, and a top layer 33 arranged from the inside out. The intermediate layer 32 disperses physically repairing microcapsules 34 and chemically neutralizing microcapsules 35. The chloride ion capture efficiency of the active electrochemical protective layer... It is a function of its operating voltage and the concentration of ions in the environment, and is characterized by the following empirical formula:

[0038] in, For chloride ion capture efficiency, and These are material constants determined experimentally. The applied bias voltage, This is the threshold voltage for ion capture. The system controls the chloride ion concentration in the environment. exist The above work is to maintain effective proactive corrosion prevention capabilities.

[0039] In this embodiment, the physical repair microcapsule 34 is composed of a polymer capsule wall encapsulating repair resin. When the coating is mechanically damaged, it ruptures and releases the repair agent to fill the cracks. The chemical neutralization microcapsule 35 contains an alkaline neutralizer. When acidic corrosive substances in the environment penetrate, the neutralizer is slowly released to counteract the corrosion reaction. The two work together to enhance the self-repair and active protection capabilities of the coating.

[0040] In this embodiment, the active electrochemical protective layer of the coating subsystem 30 is characterized by improving protection efficiency through an external electric field. The nanowire array can be grown on a substrate using a hydrothermal method or a template method, and the material can be a polyaniline / carbon nanotube composite material. For this composite material, the voltage is approximately 0.7V, and the operating voltage V is set between 1.0 and 1.5V. α and β are determined by preparing different concentrations in the laboratory. The amount of ions adsorbed in potassium chloride solution was measured at different voltages V, and the intrinsic parameters of the material were obtained by data fitting.

[0041] In one specific embodiment, the phase change triggering logic of the sealing subsystem 40 is a Boolean function. definition: when ,

[0042] when Other situations; in, To monitor the temperature, Temperature threshold For the relative humidity at the monitoring point, Humidity threshold For corrosion early warning signals from the monitoring and early warning subsystem 50, 1 indicates an early warning and 0 indicates normal operation; when When the value is 1, the material changes from a solid state to a viscoelastic state to achieve self-sealing.

[0043] In this embodiment, the phase change triggering logic of the sealing subsystem 40 is technically designed to enable the sealing material to possess context awareness and responsiveness. The material can be a composite material with polyurethane as the matrix and encapsulated in phase change paraffin microcapsules. The maximum operating temperature of the electromechanical equipment 10 can be set to 65℃. It can be set to 85%RH. The signal comes from the D value calculated in claim 7, when D ≥ hour, It was set to 1.

[0044] In one specific implementation, the monitoring and early warning subsystem 50 is configured to acquire signals via acoustic sensors and extract the ringing count rate R and average frequency of acoustic emission events from them. As a characteristic quantity, the monitoring and early warning subsystem 50 is also configured to measure the change in relative magnetic permeability of the metal body of the electromechanical equipment 10 via a magnetic sensor. .

[0045] In this embodiment, the signal acquisition of the monitoring and early warning subsystem 50 focuses on obtaining physical quantities reflecting the metal corrosion state. The raw waveform signal acquired by the acoustic emission sensor, such as the VS150-RIC, is processed to obtain R and... Magnetic sensors, such as TMR magnetic sensors, measure the local magnetic field distortion caused by metal volume loss due to corrosion under the background of the Earth's magnetic field, thereby calculating... .

[0046] In one specific implementation, the monitoring and early warning subsystem 50 quantifies the corrosion risk using the following data fusion decision function D:

[0047] in, , , These are the baseline values ​​of each characteristic quantity under the health condition of the electromechanical equipment 10; , , The weight coefficients are obtained through training on historical data and satisfy the following conditions: + + =1.

[0048] The early warning level of the monitoring and early warning subsystem 50 is classified according to the corrosion risk value D:

[0049]

[0050] when At that time, the status is determined to be safe; when ≤D< When the status is determined to be "attention," the system records the data trend. When D≥ When the status is determined to be an alarm, the system immediately issues a maintenance warning; in, and This is the warning threshold calibrated through experiments.

[0051] In this embodiment, the data fusion decision function's technical essence lies in comprehensively utilizing multi-source information to improve diagnostic accuracy. Baseline value , , This is the average value obtained through long-term monitoring and statistics under stable operating conditions after the installation and commissioning of electromechanical equipment 10. Weighting coefficient , , The threshold is determined through machine learning. For example, a large number of data samples with known corrosion states are collected, and a logistic regression or support vector machine model is used for training to obtain the optimal weight combination, such as w1=0.5, w2=0.3, w3=0.2. and The ratio is determined by ROC curve analysis based on the balance between false alarm rate and false negative rate.

[0052] In one specific implementation, the monitoring and early warning subsystem 50 employs an improved adaptive Kalman filter algorithm to reduce acoustic signal noise. The observed noise covariance matrix R_k of this algorithm is dynamically adjusted according to the system vibration noise, and the adjustment model is as follows:

[0053] in, The baseline observation noise covariance, To identify and determine the adjustment coefficient through the system, The absolute value of the instantaneous rate of change of pressure within the micro-positive pressure subsystem 20; This model is used to suppress acoustic noise introduced by vibration and airflow disturbance of the electromechanical equipment 10.

[0054] In this embodiment, the improved adaptive Kalman filter algorithm is characterized by dynamically optimizing filtering performance to cope with complex noise. This reflects the vibration intensity of the system; the greater the vibration, the stronger the acoustic noise. By introducing... For example, setting the noise covariance to 0.1 allows for real-time correction, ensuring the filter maintains good noise reduction performance in both calm and violent vibration environments, thus enabling more accurate extraction of acoustic emission features. and .

[0055] Secondly, this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is used to implement the control, judgment, or processing methods described above.

[0056] The computer-readable storage medium, such as ROM, FLASH, or hard disk, stores a program containing all the instructions of the aforementioned method. For example, the program instructions periodically read the temperature and pressure sensors 24, execute the corresponding algorithm, and output control signals to the fan.

[0057] According to one embodiment of the present invention, a server is provided, comprising: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to invoke the instructions stored in the memory to perform the aforementioned method.

[0058] This invention can be a method, apparatus, system, and / or computer program product. The computer program product may include a computer-readable storage medium having computer-readable program instructions loaded thereon for performing various aspects of the invention.

[0059] Example 1: Corrosion Protection of Explosion-proof Frequency Converter Cabinets in Underground Mines System integration: This invention is implemented in a KB-200 explosion-proof frequency converter cabinet.

[0060] Micro Positive Pressure Subsystem 20: A miniature air handling unit containing a molecular sieve dryer and a HEPA filter is integrated into the top space of the cabinet. It is controlled by a PLC inside the cabinet and set... =25Pa, K=0.5.

[0061] Coating subsystem 30: The composite intelligent coating is sprayed onto the outer surface of the cabinet, and a 1.2V DC bias voltage is applied to the active protection layer.

[0062] Sealing subsystem 40: Apply the phase change sealant to the cabinet door 11 and all inlet / outlet ports, and set: =65℃, =85%.

[0063] Monitoring and early warning subsystem 50: Install 3 acoustic emission sensors and 1 magnetic sensor at the busbar connection and radiator base inside the cabinet.

[0064] Operation: After the system is powered on, a slight positive pressure is established, and all sensors begin to operate. Data is transmitted via industrial Ethernet to a ground server for analysis and early warning.

[0065] Example 2: Corrosion Protection of Motors for Large Mining Water Pumps When implementing the intelligent anti-corrosion system of this invention on a large mining water pump motor, the focus is on optimizing the sealing and monitoring arrangements for special parts that are prone to corrosion, such as the shaft extension end and the end cover mating surface.

[0066] First, the phase change sealant is applied circumferentially to the shaft extension end, and the sealing parameters are set as follows. ==65℃ and =85%, ensuring dynamic sealing performance; Meanwhile, an enhanced sealing strip is added to the end cap mating surface, combined with double-layer protection of phase change sealant, to cope with high-frequency vibration and moisture intrusion.

[0067] For the monitoring subsystem, two acoustic emission sensors are installed near the bearing housing at the shaft extension end to monitor abnormal friction signals in real time; a magnetic sensor is arranged inside the end cover mating surface to detect changes in the magnetic field caused by metal corrosion. In addition, temperature sensors are added at key points of the motor windings and integrated into the monitoring network. After the system is operational, the micro-positive pressure subsystem maintains... =25Pa, With dynamic adjustment of 0.5, a 1.2V DC bias voltage is applied to the coating subsystem, and all data is transmitted to the ground server via industrial Ethernet to achieve... Early warning threshold management ensures the long-term corrosion resistance of large motors in the high-humidity environment of potash mines.

[0068] Experimental Example To verify the effectiveness of the present invention, an accelerated corrosion comparison test was conducted.

[0069] Test sample: Experimental group: Test chamber using the complete system of this invention.

[0070] Control group 1: Test chamber using only traditional heavy-duty anti-corrosion coating epoxy asphalt paint.

[0071] Control group 2: Test chamber using a conventional sealing and micro-positive pressure system.

[0072] Test conditions: In a salt spray test chamber, simulating the environment of a potash mine: 5% NaCl solution, temperature 50℃, relative humidity 95%, every 8 hours constitutes one cycle, including 4 hours of spraying and 4 hours of condensation storage. The test lasted for 500 hours.

[0073] Test results and data:

[0074] Experimental conclusion: The anti-corrosion system of this invention exhibits significantly superior protective effects compared to traditional methods under extremely accelerated corrosion environments. It not only maintains its appearance but, more importantly, effectively protects the core components of the electromechanical equipment 10, demonstrating the excellence and reliability of its system design. Simultaneously, the monitoring system provides quantifiable status indicators, offering a basis for predictive maintenance.

[0075] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

[0076] Furthermore, it should be understood that although this specification describes embodiments, not every embodiment contains only one independent technical solution. This narrative style is merely for clarity. Those skilled in the art should consider the specification as a whole, and the technical solutions in each embodiment can also be appropriately combined to form other embodiments that can be understood by those skilled in the art.

Claims

1. An intelligent corrosion protection system for electromechanical equipment of a potash mine, characterized in that, Comprise: A micro-positive pressure subsystem (20) for establishing and maintaining a micro-positive pressure environment within the cavity of the electromechanical device (10) to block external corrosive gases; A coating subsystem (30) covering the outer surface of the electromechanical device (10) and containing an active electrochemical protective layer capable of applying a bias voltage to actively adsorb corrosive ions; A sealing subsystem (40) arranged at the cabinet door (11) and interface joints of the electromechanical device (10), the material of the sealing subsystem (40) can undergo a controllable solid-viscoelastic phase transition under certain trigger conditions; A monitoring and early warning subsystem (50) for collecting and fusing processing acoustic emission signals and magnetic signals of the electromechanical device (10) to determine the corrosion state.

2. The system of claim 1, wherein, The micro-positive pressure subsystem (20) comprises an air inlet and / or filter (21), a drying module (22) and a micro variable frequency fan (23) connected in sequence, which maintains dynamic micro-positive pressure through a closed-loop control algorithm and monitors the clean air flow (25) pressure in the cavity through a pressure sensor (24); the target pressure set value of the closed-loop control algorithm is determined by the following formula: ； wherein, is a reference pressure value preset according to the mine ventilation condition, is a temperature compensation coefficient calibrated through experiments, is a real-time temperature difference between the inside of the electromechanical equipment (10) and the mine environment; the system adjusts the rotating speed of the variable frequency fan so that the measured pressure tracking .

3. The system of claim 1, wherein, The coating subsystem (30) comprises a bottom layer (31), an intermediate layer (32) and a surface layer (33) arranged from inside to outside, wherein the intermediate layer (32) is dispersed with physical repair microcapsules (34) and chemical neutralization microcapsules (35); the chloride ion capture efficiency of the active electrochemical protection layer is a function of its working voltage and the environmental ion concentration, which is characterized by the following empirical formula: ； wherein, is the chloride ion capture efficiency, and is a material constant determined experimentally, is the applied bias voltage, is the ion capture activation threshold voltage, is the chloride ion concentration in the environment; the system controls In the above work, to maintain an effective active corrosion protection capability.

4. The system of claim 1, wherein, The phase change trigger logic of the sealing subsystem (40) is defined by a Boolean function Definition: When , ; When , otherwise; wherein, is the temperature of the monitoring point, is the temperature threshold, is the relative humidity of the monitoring point, is the humidity threshold, is the corrosion warning signal from the monitoring and warning subsystem (50) (1 means warning, 0 means normal); when the value is 1, the material changes from solid state to viscoelastic state to achieve self-sealing.

5. The system of claim 1, wherein, The monitoring and warning subsystem (50) is configured to acquire signals by means of acoustic sensors and to extract from them the ringing count rate R and the average frequency as characteristic quantities.

6. The system of claim 5, wherein, The monitoring and warning subsystem (50) is also configured to measure the amount of change in the relative magnetic permeability of the metal body of the electromechanical device (10) by means of a magnetic sensor .

7. The system of claim 6, wherein, The monitoring and early warning subsystem (50) quantitatively evaluates the corrosion risk by the following data fusion decision function D: ； wherein, , , are baseline values of each feature quantity in the health state of the electromechanical device (10); , , are weight coefficients obtained by training historical data, and satisfy + + = 1.

8. The system of claim 7, wherein, The warning levels of the monitoring and early warning subsystem (50) are divided according to the corrosion risk value D: ； ； When the state is determined to be safe; When ≤ D the state is determined to be of interest and the system records the data trend; When D≥ the state is determined as an alarm, and the system immediately issues a maintenance warning; wherein and is the pre-alarm threshold calibrated by experiment.

9. The system of claim 5, wherein, The monitoring and early warning subsystem (50) uses an improved adaptive Kalman filtering algorithm to denoise the acoustic signal, and the observation noise covariance matrix of the algorithm is According to the dynamic adjustment of the system vibration noise, the adjustment model is: ； wherein is the reference observation noise covariance, is the tuning coefficient determined by system identification, is the absolute value of the instantaneous rate of change of the pressure within the micro- pressure subsystem (20); This model is used to suppress the acoustic noise introduced by the vibration and wind flow disturbance of the electromechanical device (10).

10. A computer-readable storage medium having stored thereon a computer program, characterized in that, The program is executed by the processor to implement the control, determination or processing method as claimed in claims 2, 4, 7, 8 or 9. The program is executed by the processor to implement the control, determination or processing method as claimed in claims 2, 4, 7, 8 or 9.

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