Real-time monitoring information system of thermal power plant based on 5G and control method

Abstract

The invention discloses a real-time monitoring information system of a thermal power plant based on 5G and a control method, relates to the technical field of thermal power plants, and realizes corrosion whole-process management and control through multi-module cooperation. The multiphase 5G sensing edge integration module deploys intelligent equipment at a multiphase interaction node of a thermal power plant, collects water, gas and solid three-phase data and calculates a biological membrane corrosion evaluation value; the intelligent prevention and control strategy analysis module divides the corrosion maturity according to the evaluation value, and outputs an initial prevention strategy, a middle-stage targeted control strategy and a later-stage emergency repair strategy in a targeted manner; after the strategy is implemented, the infrasonic wave and geomagnetic disturbance coupling module obtains infrasonic wave and geomagnetic disturbance coefficients of multiple areas, the facility corrosion degree is determined through coupling analysis, a stepped maintenance plan is generated in a linkage mode, closed-loop management from monitoring and evaluation to prevention and control and maintenance is achieved, and the operation safety and maintenance efficiency of thermal power plant equipment are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of thermal power plants, in particular to a real-time monitoring information system and control method for thermal power plants based on 5G. BACKGROUND

[0002] Thermal power plant equipment is long-term exposed to complex working conditions such as high temperature, high humidity, strong electromagnetic environment, and multi-phase interaction nodes are easily affected by biofilm corrosion. The formation of biofilm can accelerate the corrosion process of equipment metal materials, reduce equipment performance and service life, increase maintenance cost and safety risk. Traditional corrosion monitoring and control methods often have problems such as untimely monitoring, low accuracy, lack of systematicness, and are difficult to meet the growing safety and stable operation needs of thermal power plants. Therefore, a real-time monitoring information system and control method for thermal power plants based on 5G are needed.

[0003] The prior art such as the invention patent application published as CN118095825A discloses a power plant production safety risk grading control system, which includes: a monitoring module for real-time monitoring of power plant site areas, dividing the power plant site areas into non-operation areas and operation areas, and obtaining monitoring data of corresponding monitoring points; an analysis module for risk prediction after pre-processing the monitoring data, obtaining a risk result, and based on the risk result, analyzing the risk of the non-operation areas and the operation areas; a control module for configuring corresponding control strategies according to the risk analysis results of the non-operation areas and the operation areas, evaluating the control strategies, and optimizing the current control strategies according to the evaluation results. By dividing the power plant areas and setting monitoring points, the monitoring data related to the risk areas of the power plant are screened, the risk result is obtained by risk prediction according to the monitoring data, the risk result is analyzed and reasonable control strategies are configured, which greatly improves the safety performance of power plant production.

[0004] For the above-mentioned scheme, the present application inventors found that the above-mentioned technology at least has the following technical problems: 1. Weak biological pollution monitoring capability: the prior art is difficult to realize accurate and real-time monitoring of cross-medium biological pollution in thermal power plants. In terms of microorganism detection, there is a lack of efficient detection means for specific corrosive microorganisms in thermal power plants, and traditional culture method is time-consuming and low in sensitivity, which cannot meet the rapid response needs of thermal power plants; molecular biology methods have poor adaptability to high temperature and high salt environment, and are difficult to stably operate in complex working conditions of thermal power plants. In addition, the prior art cannot effectively integrate water, gas and solid three-phase biological pollution data, and is difficult to comprehensively evaluate the biofilm corrosion risk and provide scientific basis for prevention and control measures.

[0005] 2. Physical field monitoring lacks depth and linkage: Existing technologies for monitoring physical field signals such as infrasound and geomagnetic disturbances are mostly limited to single signal analysis. They lack research on multi-physical field coupling mechanisms and are unable to explore potential correlations between signals, resulting in inaccurate and timely equipment fault diagnosis. In terms of sensor technology, existing geomagnetic sensors are susceptible to interference from factory power frequencies, and infrasound sensors lack sensitivity and stability, making it difficult to accurately capture weak fault characteristic signals. Furthermore, the lack of a real-time visualization and in-depth analysis platform for physical field signals makes it impossible to intuitively display trends in equipment status changes, hindering early warning and preventative maintenance.

[0006] 3. Inefficient data transmission and processing: Traditional network technologies cannot meet the high-speed, low-latency transmission requirements of thermal power plants for massive amounts of multi-source data. Thermal power plants are equipped with numerous devices, and sensors collect large amounts of real-time data. Traditional networks have limited bandwidth and high latency, which can easily lead to data congestion, loss, or delays, impacting the real-time and reliability of monitoring systems. Regarding data processing, existing technologies lack efficient edge computing capabilities and intelligent algorithms, making it difficult to quickly analyze and extract features from complex, real-time data, hindering the timely detection of equipment anomalies.

[0007] 4. Prevention and control maintenance strategies lack scientificity and precision: Due to inadequate biological contamination monitoring and physical field monitoring, as well as lags in data transmission and processing, existing technologies struggle to accurately assess the extent of corrosion and failure risks in thermal power plant facilities. When formulating prevention and control maintenance strategies, reliance is often placed on empirical judgment or scheduled maintenance, failing to implement dynamic and precise prevention and control measures tailored to the actual operating status of the equipment. The lack of targeted prevention and control plans for different corrosion stages and failure types can easily lead to excessive or untimely maintenance, increasing operational costs while failing to effectively ensure the safe and stable operation of equipment. Summary of the Invention

[0008] In response to the above-mentioned technical deficiencies, the purpose of the present invention is to provide a real-time monitoring information system and control method for a thermal power plant based on 5G.

[0009] In order to solve the above technical problems, the present invention adopts the following technical solutions: In the first aspect, the present invention provides a real-time monitoring information system for thermal power plants based on 5G, including: a multi-phase 5G sensing edge integration module: used to deploy multi-phase 5G smart devices at each multi-phase interaction node of the target thermal power plant, and set several monitoring time points, and then analyze the corresponding biofilm corrosion assessment value at each multi-phase interaction node at each monitoring time point.

[0010] Intelligent prevention and control strategy analysis module: It is used to evaluate the maturity of biofilm corrosion corresponding to each multiphase interaction node at each monitoring time point based on the biofilm corrosion assessment value corresponding to each multiphase interaction node at each monitoring time point, and then analyze the intelligent prevention and control strategy corresponding to each multiphase interaction node at each monitoring time point.

[0011] Infrasound and geomagnetic disturbance coupling module: It is used to obtain the coupling effect coefficient of infrasound and geomagnetic disturbance corresponding to each area of ​​each multiphase interaction node after the corresponding intelligent prevention and control strategy is implemented at each multiphase interaction node at each monitoring time point, and then analyze the degree of facility corrosion corresponding to each area of ​​each multiphase interaction node.

[0012] In a second aspect, the present invention provides a real-time monitoring information control method for a 5G-based thermal power plant, including: Step 1, integration of multi-phase 5G sensor edge: deploying multi-phase 5G smart devices at each multi-phase interaction node of the target thermal power plant, and setting several monitoring time points, and then analyzing the corresponding biofilm corrosion assessment value at each multi-phase interaction node at each monitoring time point.

[0013] Step 2. Analysis of intelligent prevention and control strategies: Based on the biofilm corrosion assessment values ​​corresponding to each multiphase interaction node at each monitoring time point, the maturity of the biofilm corrosion corresponding to each multiphase interaction node at each monitoring time point is evaluated, and then the intelligent prevention and control strategies corresponding to each multiphase interaction node at each monitoring time point are analyzed.

[0014] Step 3. Coupling of infrasound and geomagnetic disturbances: After the corresponding intelligent prevention and control strategies are implemented at each multiphase interaction node at each monitoring time point, the coupling effect coefficients of the infrasound and geomagnetic disturbances corresponding to each region at each multiphase interaction node are obtained, and then the degree of facility corrosion corresponding to each region at each multiphase interaction node is analyzed.

[0015] The beneficial effects of the present invention are as follows: 1. The present embodiment utilizes multi-phase 5G intelligent devices to comprehensively monitor the water, gas, and solid phases at multi-phase interaction nodes in thermal power plants. Key parameters of the water phase are collected using high-temperature and corrosion-resistant 5G intelligent electrochemical sensors. For the gas phase, a 5G edge-type laser spectrometer combined with an ultrasonic anemometer is used to obtain gas composition and diffusion coefficients. For the solid phase, a 5G+AI vision robotic arm equipped with advanced probes measures surface roughness and other information. Furthermore, coupled infrasound and geomagnetic disturbance monitoring is used to obtain multi-dimensional equipment status information from various perspectives, including physical fields and biological contamination. Compared to traditional monitoring methods, this significantly improves monitoring comprehensiveness and captures more potential risk signals. The high speed and low latency of 5G technology ensure real-time direct transmission of sensor data to the cloud or low-latency backhaul. Combined with the 5G-MQTT protocol and 5G slicing networks, efficient and stable data transmission is achieved. Powered by edge computing and intelligent algorithms, this technology can rapidly process and analyze large amounts of monitoring data, promptly identifying equipment anomalies and providing real-time information support for operation and maintenance decisions, effectively avoiding the delays in troubleshooting caused by data lags.

[0016] 2. In the embodiment of the present invention, a scientific and rigorous evaluation system is constructed by normalizing the evaluation values ​​of the water phase, gas phase and solid phase, substituting them into a specific calculation formula to obtain the biofilm corrosion evaluation value, and then combining the biofilm corrosion maturity evaluation and the infrasound and geomagnetic disturbance coupling effect coefficient to analyze the degree of facility corrosion. This system can accurately judge the biofilm corrosion stage and facility corrosion status, providing an accurate basis for the formulation of subsequent prevention and control strategies, and changing the previous extensive model of evaluation based on experience or a single indicator. At the same time, based on the maturity of biofilm corrosion and the degree of facility corrosion, the system executes targeted intelligent prevention and control strategies and maintenance plans, such as early preventive dynamic intervention strategies, moderate corrosion enhanced repair and dynamic protection plans, etc. These strategies are formulated based on real-time and accurate evaluation results, and can take the most appropriate measures according to different corrosion stages and degrees, realizing intelligent and precise prevention and control maintenance, effectively reducing the corrosion rate of equipment, and reducing the probability of failure.

[0017] 3. Embodiments of the present invention, through early and accurate assessment of corrosion conditions and implementation of appropriate prevention, control, and maintenance plans, can avoid over- or under-maintenance. Precise maintenance reduces unnecessary resource waste, extends equipment life, and reduces the frequency of equipment replacement and repair, thereby effectively lowering the operation and maintenance costs of thermal power plants and improving economic efficiency. Real-time monitoring and intelligent analysis can promptly identify potential corrosion risks in equipment, providing early warnings and enabling the implementation of prevention, control, and maintenance measures. This helps reduce the probability of equipment failures or accidents caused by corrosion, ensuring the safe and stable operation of thermal power plants, minimizing downtime losses and safety hazards caused by equipment failures, and providing a solid foundation for the normal production and operation of thermal power plants. The deep integration of 5G technology with multiple technologies, including multiphase sensing monitoring, biocontamination detection, infrasound-induced geomagnetic disturbance coupling analysis, and intelligent algorithms, has promoted the application of technologies such as the Internet of Things, big data, and artificial intelligence in thermal power plants. It provides innovative technical paths and system architecture demonstrations for the intelligent upgrade of thermal power plants, and promotes the cross-integration and development of related technologies in the industrial sector. It provides an advanced and comprehensive solution for monitoring and controlling corrosion in thermal power plant equipment, helping to elevate the technical level of equipment maintenance and management in the thermal power industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0019] Figure 1 This is a schematic diagram of the system module connection of the present invention.

[0020] Figure 2 The present invention is a flowchart of the steps for implementing the method. DETAILED DESCRIPTION

[0021] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0022] The present invention is implemented as follows Figure 1 As shown in the figure, the real-time monitoring information system of the thermal power plant based on 5G includes: a multi-phase 5G sensor edge integration module, an intelligent prevention and control strategy analysis module, and an infrasound and geomagnetic disturbance coupling module.

[0023] The intelligent prevention and control strategy analysis module is respectively connected to the multi-phase 5G sensing edge integration module and the geomagnetic disturbance coupling module.

[0024] Multiphase 5G sensing edge integration module: used to deploy multiphase 5G smart devices at each multiphase interaction node in the target thermal power plant, set several monitoring time points, and then analyze the corresponding biofilm corrosion assessment value at each multiphase interaction node at each monitoring time point.

[0025] It should be noted that the multiphase interaction nodes include: the circulating water pump outlet (water-gas-solid scour interface), the cooling tower filling area (water-gas mass transfer + solid phase deposition interface) and the desulfurization tower slurry circulation tank (gas-liquid reaction + solid phase scaling interface), etc.

[0026] In a specific embodiment, multi-phase 5G smart devices are deployed at each multi-phase interaction node of the target thermal power plant. The specific deployment process is as follows: Water phase monitoring: High-temperature and corrosion-resistant 5G smart electrochemical sensors are deployed at each multi-phase interaction node of the target thermal power plant to collect the corresponding H2O concentration, ORP value and EPS content at each multi-phase interaction node in real time, and transmit them directly to the cloud through the 5G-MQTT protocol.

[0027] It should be noted that the sensitive electrode of the 5G smart electrochemical sensor is in direct contact with the aqueous medium. When the ions in the aqueous phase react electrochemically with the electrode, a specific electrical signal is generated. For example, for the acquisition of pH value, the glass electrode and the reference electrode inside the 5G smart electrochemical sensor will form a potential difference, which is related to the activity of the hydrogen ions in the solution. The potential difference is converted into a pH value through the Nernst equation. In terms of ion concentration acquisition, the ion-selective electrode will respond to specific ions, and the resulting membrane potential is linearly related to the logarithm of the ion concentration, thereby obtaining the ion concentration. For the determination of the content of certain substances, the voltammetry method is used. By applying different voltages to the electrodes, the generated current is measured, and the content data is obtained based on the relationship between the current and the substance concentration. The sensor's built-in data processing module performs pre-processing such as amplification and filtering on the collected raw electrical signals, converting them into standard digital signals. It then uses a 5G communication module to encapsulate the data according to the 5G-MQTT protocol, and transmits data such as concentration, pH value, and substance content directly to the cloud in a low-latency, high-speed manner, enabling real-time collection and transmission of water phase data, thereby collecting the corresponding H2O concentration, ORP value, and EPS content at each multiphase interaction node in real time.

[0028] Gas phase monitoring: Deploy 5G edge laser spectrometers at each multiphase interaction node in the target thermal power plant to monitor the CH4 and VOC corresponding to each multiphase interaction node. s The concentration is analyzed and combined with an ultrasonic anemometer to obtain the corresponding gas diffusion coefficient at each multiphase interaction node. The data is then transmitted back via the 5G slicing network with low latency.

[0029] It should be noted that at each multiphase interaction node in the target thermal power plant, a 5G edge-type laser spectrometer uses laser absorption spectroscopy to collect gas concentration data. The spectrometer transmits a laser beam of a specific wavelength through the gas phase region to be measured. Gas molecules selectively absorb the laser light of the corresponding characteristic wavelength. By measuring the attenuation of the laser intensity and applying the Lambert-Beer law, the gas concentration can be calculated. For example, for CO concentration monitoring, the absorption line of CO molecules near 1.56 μm is selected. The laser light is collimated and passed through the gas medium. The detector receives the transmitted light and converts it into an electrical signal. After phase-locked amplification and digital filtering, the volumetric CO concentration is calculated. An ultrasonic anemometer calculates wind speed and direction by measuring the propagation time difference of ultrasonic waves in the air. It has two pairs of built-in ultrasonic transducers, which transmit and receive ultrasonic signals in the horizontal and vertical directions, respectively. The three-dimensional wind velocity components are calculated based on the propagation time difference between upstream and downstream, thereby determining the average wind speed and turbulence intensity in the area. The edge computing unit receives real-time gas concentration data from the laser spectrometer and wind speed data from the ultrasonic anemometer. Based on the gas diffusion theory model, it combines wind speed, temperature, pressure and other parameters to calculate the gas diffusion coefficient. After standardization, the data is transmitted back to the cloud data center through a dedicated channel of the 5G slicing network with a latency of less than 10ms, enabling real-time monitoring of gas phase parameters and diffusion characteristics analysis, thereby obtaining the corresponding CH4 and VOC at each multiphase interaction node. s concentration, and gas diffusion coefficient.

[0030] It should also be noted that when calculating the gas diffusion coefficient, based on Fick's law, the gas concentration data collected by the 5G edge-type laser spectrometer and the wind speed and direction data obtained by the ultrasonic anemometer are input into the edge computing unit together with the temperature and pressure data collected by the temperature sensor and pressure sensor. First, based on the ideal gas state equation, the gas concentration is corrected using temperature and pressure data to obtain the concentration value under standard conditions; then, the velocity field distribution of the gas flow is determined in combination with the wind speed data. Finite element analysis or computational fluid dynamics (CFD) methods are used to simulate the flow state of the gas at the multiphase interaction node, and an equation for the relationship between the concentration gradient and the flow velocity is established. Finally, the equation is solved through iterative calculation to obtain the gas diffusion coefficient corresponding to each multiphase interaction node.

[0031] It is important to note once again that Fick's law, a classic theory describing the diffusion of matter, finite element analysis and computational fluid dynamics (CFD), mature numerical calculation methods for simulating complex physical phenomena, the relationship equation between concentration gradient and flow velocity based on physical relationships, and the iterative calculation method that approximates the exact solution of the equation through continuous iteration are all existing technologies that are widely used and mature in many fields such as chemical engineering, environment, and engineering, providing reliable theoretical and methodological support for the calculation of gas diffusion coefficients in thermal power plants.

[0032] Solid phase monitoring: A 5G+AI visual robotic arm equipped with a laser confocal scanner and LIBS probe is integrated at each multiphase interaction node in the target thermal power plant to scan the roughness and element distribution of the pipeline inner wall, thereby obtaining the corresponding surface roughness, S / Fe atomic ratio and biofilm thickness at each multiphase interaction node. All equipment is connected to the plant's 5G private network through the built-in 5G module, and the results are pushed to the digital twin platform.

[0033] It should be noted that at each multiphase interaction node in the thermal power plant, the laser confocal scanner and LIBS probe equipped with the 5G+AI visual robotic arm collaborate to complete solid-phase data acquisition. The laser confocal scanner scans the inner wall of the pipe point by point by emitting a focused laser beam. The reflected light at the laser focus point is received by the detector after pinhole filtering. By controlling the laser focus at different depths, two-dimensional images of the inner wall of the pipe at different heights are obtained. The image reconstruction algorithm is used to synthesize the multiple layers of two-dimensional images into three-dimensional morphological data, and then the surface roughness value is obtained through the roughness assessment standard. At the same time, the distance difference between images at different heights can be used to accurately measure the thickness of the biofilm. The LIBS probe bombards the inner wall surface of the pipe with high-energy pulsed laser, causing the sample to evaporate and ionize instantly to form a plasma. When the plasma is de-excited, a light signal containing characteristic spectral lines of the elements is generated. After being separated by the spectrometer, the characteristic spectrum of each element is recorded by the detector. The AI ​​algorithm analyzes and processes the spectral data, identifies the element type, and derives the atomic ratio of each element based on the spectral line intensity. The 5G module built into the 5G+AI visual robotic arm connects the raw data collected by the laser confocal scanner and LIBS probe, as well as the processed surface roughness, atomic ratio, biofilm thickness and other results, to the factory's 5G private network in a high-speed and stable manner, and finally pushes them to the digital twin platform, enabling real-time and accurate monitoring of solid phase parameters, and thus obtaining the corresponding surface roughness, S / Fe atomic ratio and biofilm thickness at each multiphase interaction node.

[0034] In a specific embodiment, the analysis of the biofilm corrosion evaluation value corresponding to each multiphase interaction node at each monitoring time point is as follows: the water phase evaluation value, gas phase evaluation value and solid phase evaluation value corresponding to each multiphase interaction node at each monitoring time point are analyzed and recorded as ω respectively. fg ,ξ fg and ψ fg , where f represents the number corresponding to each monitoring time point, f = 1, 2...u, u is an arbitrary integer greater than 2, g represents the number corresponding to each multiphase interaction node, g = 1, 2...n, n is an arbitrary integer greater than 2, and is normalized and substituted into the calculation formula:

[0035] The biofilm corrosion assessment value Ω corresponding to each multiphase interaction node at each monitoring time point is obtained. fg , where ω′, ξ′, and ψ′ are the standard water phase evaluation value, standard gas phase evaluation value, and standard solid phase evaluation value corresponding to the set multiphase interaction node, respectively; φ1, φ2, and φ3 are the weight factors corresponding to the water phase evaluation value, the gas phase evaluation value, and the solid phase evaluation value, respectively.

[0036] It should be noted that φ1, φ2, and φ3 are all greater than 0 and less than 1.

[0037] It should also be noted that by collecting a large amount of historical data, we screened out the water phase, gas phase, and solid phase parameter data of the equipment during long-term stable operation and without obvious biofilm corrosion. These data were statistically analyzed and their mean, standard deviation, and other statistical quantities were calculated. Taking the water phase as an example, the concentration, pH value, and content of related substances during periods of good water quality, no large-scale microbial reproduction, and no corrosion occurred were selected. The average value was calculated and combined with industry standards to determine a reasonable standard water phase assessment value range, which serves as a benchmark for judging the water phase condition. The standard setting methods for gas phase and solid phase assessment values ​​are similar, both based on ideal operating conditions data, combined with equipment design parameters and industry specifications, to comprehensively determine the standard value.

[0038] First, through experimental research and on-site monitoring, the influence of various factors in the water phase, gas phase, and solid phase on biofilm corrosion is analyzed. For example, if the study finds that the ion concentration and pH value in the water phase play a key role in the formation and growth of biofilms, and their influence on the corrosion process can reach 40%-50%, then the water phase assessment value can be given a relatively high weight factor; if the gas phase factor has a smaller impact, accounting for about 20%-30%, then its weight factor is correspondingly reduced; factors such as the surface roughness and biofilm thickness of the solid phase account for about 30%-40%, and are given a moderate weight factor. In addition, combined with expert experience and historical failure cases, scientific methods such as the analytic hierarchy process are used to quantify and optimize the weights of the assessment values ​​of each phase, making the setting of the weight factor more scientific and reasonable, and able to accurately reflect the actual role of each phase in the biofilm corrosion process.

[0039] In a specific embodiment, the water phase evaluation value, gas phase evaluation value and solid phase evaluation value corresponding to each multiphase interaction node at each monitoring time point are analyzed. The specific analysis process is as follows: A1. Obtain the water phase index, gas phase index and solid phase index corresponding to each multiphase interaction node at each monitoring time point. The water phase index includes H2O concentration, ORP value and EPS content; the gas phase index includes CH4 and VOC s concentration and gas diffusion coefficient; solid phase indicators include surface roughness, S / Fe atomic ratio and biofilm thickness.

[0040] A2. First, normalize the water phase index, gas phase index, and solid phase index corresponding to each multiphase interaction node at each monitoring time point. Then, substitute the water phase index, gas phase index, and solid phase index corresponding to each multiphase interaction node at each monitoring time point into the water phase evaluation value analysis model, gas phase evaluation value analysis model, and solid phase evaluation value analysis model, respectively. Finally, input the water phase evaluation value ω corresponding to each multiphase interaction node at each monitoring time point. fg , gas phase evaluation value ξ fg and solid phase evaluation value ψ fg .

[0041] It should be noted that the water phase index corresponding to each multiphase interaction node at each monitoring time point is recorded as q fg 、w fg and k fg , substitute into the analytical formula Get the water phase assessment value ω corresponding to each multiphase interaction node at each monitoring time point fg In this way, the gas phase evaluation value ξ corresponding to each multiphase interaction node at each monitoring time point is analyzed and obtained. fg and solid phase evaluation value ψ fg .

[0042] Intelligent prevention and control strategy analysis module: It is used to evaluate the maturity of biofilm corrosion corresponding to each multiphase interaction node at each monitoring time point based on the biofilm corrosion assessment value corresponding to each multiphase interaction node at each monitoring time point, and then analyze the intelligent prevention and control strategy corresponding to each multiphase interaction node at each monitoring time point.

[0043] In a specific embodiment, the evaluation of the biofilm corrosion maturity corresponding to each multiphase interaction node at each monitoring time point is performed in the following manner:

[0044] The biofilm corrosion assessment value corresponding to each multiphase interaction node at each monitoring time point is compared with the biofilm corrosion assessment value interval corresponding to each set biofilm corrosion maturity. If the biofilm corrosion assessment value corresponding to a multiphase interaction node at a certain monitoring time point is within the biofilm corrosion assessment value interval corresponding to a set biofilm corrosion maturity, the set biofilm corrosion maturity is recorded as the biofilm corrosion maturity corresponding to the multiphase interaction node at the monitoring time point. The biofilm corrosion maturity includes initial maturity, mid-term maturity and late maturity.

[0045] In a specific embodiment, the intelligent prevention and control strategies corresponding to each multiphase interaction node at each monitoring time point are analyzed, and the specific analysis process is as follows: B1. If the biofilm corrosion maturity corresponding to a multiphase interaction node at a certain monitoring time point is the initial maturity, the initial preventive dynamic intervention strategy is executed.

[0046] It should be noted that the initial preventive dynamic intervention strategy is: in terms of chemical inhibition, add 5-10 mg of quaternary ammonium salt biofilm inhibitors per cubic meter of aqueous system, and regularly add 3-4 times a month to inhibit microbial metabolism and attachment. In terms of physical cleaning, use an ultrasonic cleaning device with a set frequency of 20-40 kHz, run for 10-15 minutes each time, and turn it on 1-2 times a week to remove weak biofilms through high-frequency vibration. When optimizing operating parameters, increase the water phase flow rate by 10%-20% within the allowable range of the equipment, reduce the gas phase humidity by 5%-10%, and fine-tune the temperature by 2-5 degrees Celsius to deviate from the suitable growth environment for microorganisms. Strengthened monitoring is to increase the frequency of sensor data collection from once per hour to once every half hour.

[0047] B2. If the biofilm corrosion maturity corresponding to a multiphase interaction node at a certain monitoring time point is medium-term maturity, the medium-term targeted composite control strategy is implemented.

[0048] It should be noted that the medium-term targeted, combined control strategy involves the following: During compound treatment, a biofilm removal agent containing 50-80 mg / L of chlorine dioxide and 0.5%-1% enzyme preparation is used. The system undergoes a two-week cycle flushing for 2-3 hours, disrupting the biofilm structure before decomposing the organic components. Mechanical intervention utilizes an intelligent pig, which is performed monthly. The pig's speed is controlled at 0.5-1 m / s, and its flexible scraper blades are of moderate hardness. The high-pressure water jets operate at a pressure of 10-15 MPa, transmitting images and test data in real time. Enhanced cathodic protection requires a safe increase in current output by 20%-30% compared to the original level, while maintaining a protective potential between -0.85 and -1.2 volts. Risk assessment and contingency plan development should be based on current biofilm corrosion assessment values ​​and trends, combined with the plant's operational status. A comprehensive risk assessment should be completed within 7 days, and an emergency response plan developed within 10 days, clearly defining shutdown and repair procedures and resource allocation.

[0049] B3. If the biofilm corrosion maturity corresponding to a multiphase interaction node at a certain monitoring time point is late maturity, a late repair type emergency disposal strategy is implemented.

[0050] It should be noted that the post-repair emergency treatment strategy involves selecting corrosion-resistant alloy or high-performance composite components, and pre-coating new components with an anti-corrosion coating 50-100 microns thick. A comprehensive chemical cleaning using a strong biofilm remover containing an inhibitor at a concentration of 10%-15% should be performed over 3-5 days, following a 4-6 hour soaking cycle, 8-12 hour circulation, and 2-4 hour rinse. System upgrades should be performed within 15 days of component replacement and cleaning. For example, these upgrades can include adopting new anti-corrosion coating technology with a thickness of 80-120 microns or optimizing fluid channel design to reduce biofilm adhesion by 30%-50%. Long-term monitoring and maintenance plans should include the addition of monitoring equipment such as resistance probes and linear polarization resistors. The resistance probes should collect data every 1-2 hours, and the linear polarization resistors every half hour. An annual maintenance plan should also be established, with quarterly equipment inspections and semi-annual anti-corrosion treatments.

[0051] Infrasound and geomagnetic disturbance coupling module: It is used to obtain the coupling effect coefficient of infrasound and geomagnetic disturbance corresponding to each area of ​​each multiphase interaction node after the corresponding intelligent prevention and control strategy is implemented at each multiphase interaction node at each monitoring time point, and then analyze the degree of facility corrosion corresponding to each area of ​​each multiphase interaction node.

[0052] In a specific embodiment, the coupling effect coefficients of the infrasound waves and geomagnetic disturbances corresponding to each region at each multiphase interaction node are obtained as follows: the infrasound coefficients and geomagnetic disturbance coefficients corresponding to each region at each multiphase interaction node are obtained, and normalized, and the infrasound coefficients and geomagnetic disturbance coefficients corresponding to each region at each multiphase interaction node are input into a coupling effect coefficient analysis model, and then the coupling effect coefficients of the infrasound waves and geomagnetic disturbances corresponding to each region at each multiphase interaction node are input.

[0053] It should be noted that infrasound sensors collect acoustic signals from each region in real time. After signal amplification and filtering, fast Fourier transform (FFT) analysis is used to obtain the frequency distribution. A peak detection algorithm is used to extract the signal amplitude. Phase unwrapping technology is used to calculate the waveform phase difference, ultimately forming the infrasound signature of the region. Simultaneously, fluxgate magnetometers or proton precession magnetometers are used to monitor the geomagnetic field in each region. The absolute value and gradient distribution of the magnetic field intensity are obtained through synchronous acquisition of three-axis components. Power spectral density analysis (PSD) is used to extract spectral features. A spatial interpolation algorithm is used to calculate the magnetic field gradient between different points to construct the geomagnetic disturbance signature.

[0054] It should also be noted that the fast Fourier transform is used to efficiently realize the conversion of signals from the time domain to the frequency domain, the peak detection algorithm accurately identifies the peak characteristics in the signal, the phase unwrapping technology is used to solve the phase winding problem to obtain continuous phase information, the three-axis components are collected simultaneously to realize multi-dimensional data acquisition of the geomagnetic field, the power spectral density analysis (PSD) extracts spectral characteristics to quantify the signal energy distribution, and the spatial interpolation algorithm estimates the regional magnetic field gradient value based on discrete measurement points. These are all existing technologies that are widely used in signal processing, geophysical detection and other fields, and have mature technical principles and a complete method system.

[0055] The infrasound characteristics corresponding to each region at each multiphase interaction node, and the mean of the main frequency, amplitude and phase difference corresponding to each region at each multiphase interaction node are recorded as F y g主频 、H y g幅值 and Where y represents the number corresponding to each area, y = 1, 2...m, m is any integer greater than 2, substitute into the calculation formula The infrasound coefficients corresponding to each region at each multiphase interaction node are obtained. Among them, F 基线 It is expressed as the standard operating reference frequency corresponding to the multi-phase interaction node, H 基线 Expressed as the corresponding standard amplitude at the multiphase interaction node.

[0056] The magnetic field intensity, spatial gradient maximum, and energy proportion of each spectrum corresponding to each region at each multiphase interaction node are recorded as Q y g磁场 、V y g梯度 and Z yp g频谱 , p represents the number corresponding to each spectrum, p=1,2......t, t is any integer greater than 2, t is also the collection of each spectrum, substitute into the calculation formula The geomagnetic disturbance coefficient θ corresponding to each region at each multiphase interaction node is obtained. y g磁 , where Q 基线 Expressed as the standard magnetic field strength corresponding to the multiphase interaction node, V 基线 It is expressed as the maximum value of the standard spatial gradient corresponding to the multiphase interaction node.

[0057] Substitute the infrasound coefficient and geomagnetic disturbance coefficient corresponding to each region at each multiphase interaction node into the calculation formula The coupling effect coefficient Ξ corresponding to the infrasound wave and geomagnetic disturbance in each region at each multiphase interaction node is obtained. y g , e represents a natural constant.

[0058] In a specific embodiment, the analysis of the facility corrosion degree corresponding to each area at each multiphase interaction node is performed as follows: the coupling effect coefficient corresponding to each area at each multiphase interaction node is compared with the set coupling effect coefficient interval corresponding to each facility corrosion degree. If the coupling effect coefficient corresponding to a certain area at a certain multiphase interaction node is within the set coupling effect coefficient interval corresponding to a certain facility corrosion degree, the set facility corrosion degree is recorded as the facility corrosion degree corresponding to the area at the multiphase interaction node. The facility corrosion degree includes mild, moderate and severe degrees.

[0059] According to the corrosion degree of facilities in each area at each multiphase interaction node, the maintenance plan corresponding to each area at each multiphase interaction node is analyzed.

[0060] In a specific embodiment, the maintenance plan corresponding to each area at each multiphase interaction node is analyzed, and the specific analysis process is as follows: X1. If the degree of corrosion of the facilities corresponding to each area at each multiphase interaction node is slight, a slight corrosion prevention maintenance plan is executed.

[0061] It should be noted that the mild corrosion prevention maintenance plan includes the following: For surface treatment, corroded areas are polished using an electric wire brush at a controlled speed of 100-150 revolutions per minute to remove loose rust and corrosion products. After polishing, the surface roughness reaches Ra 12.5-25μm. Epoxy zinc-rich primer is then applied using a high-pressure airless spray process with a spray pressure set at 15-20MPa. The dry film thickness of the primer is controlled at 60-80μm. Surface inspections are conducted quarterly, and any localized coating damage is promptly repaired. For areas exposed to media, such as the inner walls of pipelines, corrosion inhibitors are applied every six months at a concentration of 50-100ppm. A 5G sensing system monitors the pH and conductivity of the media in real time to ensure the inhibitor's effectiveness. Furthermore, the monitoring frequency of infrasound and geomagnetic disturbance sensors has been increased from hourly to half-hourly to continuously track facility status.

[0062] X2. If the degree of corrosion of the facilities corresponding to each area at each multiphase interaction node is mild, the moderate corrosion enhancement repair and dynamic protection plan shall be implemented.

[0063] It should be noted that the enhanced repair and dynamic protection plan for moderate corrosion is as follows: First, the corroded area is thoroughly cleaned using a sandblasting process. The sandblasting material is copper ore sand with a particle size of 0.5-1mm and a sandblasting pressure of 0.5-0.7MPa, and the surface is cleaned to the Sa2.5 standard. Then, a multi-layer anti-corrosion coating is applied. First, an 80-100μm thick epoxy iron oxide intermediate paint is sprayed. After an interval of 4-6 hours, a 100-120μm thick polyurethane topcoat is sprayed. The total coating thickness is not less than 250μm. For areas with deeper corrosion, repair welding is used. Using welding rods that match the base material, the welding current is controlled at 100-120A and the welding speed is 15-20cm / min. After welding, polishing is performed to ensure a smooth surface. A comprehensive inspection of the maintenance area is carried out every two months, including coating thickness and surface hardness testing. At the same time, the local cathodic protection system is activated, and the protection potential is maintained at -0.85-1.2V (relative to the copper sulfate reference electrode). The protection parameters are transmitted in real time using the 5G network, and the protection current is dynamically adjusted according to the corrosion situation.

[0064] X3. If the degree of corrosion of the facilities corresponding to each area at each multiphase interaction node is mild, the severe corrosion emergency renewal and intelligent upgrade protection plan will be implemented.

[0065] It should be noted that the emergency renewal and intelligent upgrade plan for severe corrosion requires that severely corroded components, such as thin-walled pipes and critical seals, be replaced within 48 hours using duplex stainless steel or nickel-based alloys with higher corrosion resistance. After replacement, the new components undergo a pre-protective treatment with a 150-200μm thick nano-composite anti-corrosion coating, which is allowed to cure for at least 72 hours. A comprehensive inspection and optimization of the systems in the area are conducted, including adjustments to the pipe layout to reduce eddy current corrosion and optimizing the fluid flow rate to 1.5-2 m / s. A real-time online monitoring system is established, increasing the data acquisition frequency of infrasound and geomagnetic disturbance sensors to once per minute. Corrosion probes and resistance probes are also added, with corrosion rate data uploaded every 10 minutes. Professional technicians conduct in-depth assessments of maintenance areas monthly, adjusting maintenance strategies based on the results. Furthermore, emergency response plans are developed and sufficient spare parts are stockpiled to ensure rapid response to emergencies and maintain the safe and stable operation of the thermal power plant.

[0066] The present invention is implemented as follows Figure 2 As shown, the real-time monitoring information control method of a 5G-based thermal power plant includes: Step 1, integration of multi-phase 5G sensor edge: deploying multi-phase 5G smart devices at each multi-phase interaction node of the target thermal power plant, and setting several monitoring time points, and then analyzing the corresponding biofilm corrosion assessment value at each multi-phase interaction node at each monitoring time point.

[0067] Step 2. Analysis of intelligent prevention and control strategies: Based on the biofilm corrosion assessment values ​​corresponding to each multiphase interaction node at each monitoring time point, the maturity of the biofilm corrosion corresponding to each multiphase interaction node at each monitoring time point is evaluated, and then the intelligent prevention and control strategies corresponding to each multiphase interaction node at each monitoring time point are analyzed.

[0068] Step 3. Coupling of infrasound and geomagnetic disturbances: After the corresponding intelligent prevention and control strategies are implemented at each multiphase interaction node at each monitoring time point, the coupling effect coefficients of the infrasound and geomagnetic disturbances corresponding to each region at each multiphase interaction node are obtained, and then the degree of facility corrosion corresponding to each region at each multiphase interaction node is analyzed.

[0069] The above content is merely an example and explanation of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they should all fall within the scope of protection of the present invention.

Claims

1. The real-time monitoring information system of thermal power plants based on 5G is characterized by: include: Multiphase 5G Sensing Edge Integration Module: This module is used to deploy multiphase 5G smart devices at each multiphase interaction node in the target thermal power plant, set several monitoring time points, and analyze the corresponding biofilm corrosion assessment value at each multiphase interaction node at each monitoring time point. Intelligent prevention and control strategy analysis module: used to evaluate the biofilm corrosion maturity corresponding to each multiphase interaction node at each monitoring time point based on the biofilm corrosion assessment value corresponding to each multiphase interaction node at each monitoring time point, and then analyze the intelligent prevention and control strategy corresponding to each multiphase interaction node at each monitoring time point; Infrasound and geomagnetic disturbance coupling module: It is used to obtain the coupling effect coefficient of infrasound and geomagnetic disturbance corresponding to each area of ​​each multiphase interaction node after the corresponding intelligent prevention and control strategy is implemented at each multiphase interaction node at each monitoring time point, and then analyze the degree of facility corrosion corresponding to each area of ​​each multiphase interaction node.

2. The real-time monitoring information system for a thermal power plant based on 5G according to claim 1, characterized in that: The multi-phase 5G smart devices are deployed at each multi-phase interaction node of the target thermal power plant. The specific deployment process is as follows: Water phase monitoring: High-temperature and corrosion-resistant 5G smart electrochemical sensors are deployed at each multiphase interaction node in the target thermal power plant to collect real-time data on H2O concentration, ORP value, and EPS content at each multiphase interaction node, and transmit the data directly to the cloud via the 5G-MQTT protocol. Gas phase monitoring: Deploy 5G edge laser spectrometers at each multiphase interaction node in the target thermal power plant to monitor the CH4 and VOC corresponding to each multiphase interaction node. s The concentration is analyzed and combined with an ultrasonic anemometer to obtain the corresponding gas diffusion coefficient at each multiphase interaction node. The data is then transmitted back via the 5G slicing network with low latency. Solid phase monitoring: A 5G+AI visual robotic arm equipped with a laser confocal scanner and LIBS probe is integrated at each multiphase interaction node in the target thermal power plant to scan the roughness and element distribution of the pipeline inner wall, thereby obtaining the corresponding surface roughness, S / Fe atomic ratio and biofilm thickness at each multiphase interaction node. All equipment is connected to the plant's 5G private network through the built-in 5G module, and the results are pushed to the digital twin platform.

3. The real-time monitoring information system for a thermal power plant based on 5G according to claim 2, characterized in that: The specific analysis process of analyzing the biofilm corrosion assessment value corresponding to each multiphase interaction node at each monitoring time point is as follows: Analyze the water phase evaluation value, gas phase evaluation value and solid phase evaluation value corresponding to each multiphase interaction node at each monitoring time point, and record them as ω fg ,ξ fg and ψ fg , where f represents the number corresponding to each monitoring time point, f = 1, 2...u, u is an arbitrary integer greater than 2, g represents the number corresponding to each multiphase interaction node, g = 1, 2...n, n is an arbitrary integer greater than 2, and is normalized and substituted into the calculation formula: The biofilm corrosion assessment value Ω corresponding to each multiphase interaction node at each monitoring time point is obtained. fg , where ω′, ξ′, and ψ′ are the standard water phase evaluation value, standard gas phase evaluation value, and standard solid phase evaluation value corresponding to the set multiphase interaction node, respectively; φ1, φ2, and φ3 are the weight factors corresponding to the water phase evaluation value, the gas phase evaluation value, and the solid phase evaluation value, respectively.

4. The real-time monitoring information system for a thermal power plant based on 5G according to claim 3, characterized in that: The analysis of the water phase evaluation value, gas phase evaluation value and solid phase evaluation value corresponding to each multiphase interaction node at each monitoring time point is as follows: A1. Obtain the corresponding water phase index, gas phase index and solid phase index at each multiphase interaction node at each monitoring time point. The water phase index includes H2O concentration, ORP value and EPS content; the gas phase index includes CH4 and VOC s concentration and gas diffusion coefficient; solid phase indicators include surface roughness, S / Fe atomic ratio and biofilm thickness; A2. First, normalize the water phase index, gas phase index, and solid phase index corresponding to each multiphase interaction node at each monitoring time point. Then, substitute the water phase index, gas phase index, and solid phase index corresponding to each multiphase interaction node at each monitoring time point into the water phase evaluation value analysis model, gas phase evaluation value analysis model, and solid phase evaluation value analysis model, respectively. Finally, input the water phase evaluation value ω corresponding to each multiphase interaction node at each monitoring time point. fg , gas phase evaluation value ξ fg and solid phase evaluation value ψ fg .

5. The real-time monitoring information system for a thermal power plant based on 5G according to claim 4, characterized in that: The specific evaluation process of evaluating the biofilm corrosion maturity corresponding to each multiphase interaction node at each monitoring time point is as follows: The biofilm corrosion assessment value corresponding to each multiphase interaction node at each monitoring time point is compared with the biofilm corrosion assessment value interval corresponding to each set biofilm corrosion maturity. If the biofilm corrosion assessment value corresponding to a multiphase interaction node at a certain monitoring time point is within the biofilm corrosion assessment value interval corresponding to a set biofilm corrosion maturity, the set biofilm corrosion maturity is recorded as the biofilm corrosion maturity corresponding to the multiphase interaction node at the monitoring time point. The biofilm corrosion maturity includes initial maturity, mid-term maturity and late maturity.

6. The real-time monitoring information system for a thermal power plant based on 5G according to claim 5, characterized in that: The intelligent prevention and control strategies corresponding to each multi-phase interaction node at each monitoring time point are analyzed. The specific analysis process is as follows: B1. If the biofilm corrosion maturity corresponding to a multiphase interaction node at a certain monitoring time point is the initial maturity, the initial preventive dynamic intervention strategy is implemented; B2. If the biofilm corrosion maturity corresponding to a multiphase interaction node at a certain monitoring time point is medium-term maturity, the medium-term targeted composite control strategy is implemented; B3. If the biofilm corrosion maturity corresponding to a multiphase interaction node at a certain monitoring time point is late maturity, a late repair type emergency disposal strategy is implemented.

7. The real-time monitoring information system for a thermal power plant based on 5G according to claim 6, characterized in that: The coupling effect coefficients of the infrasound waves and geomagnetic disturbances corresponding to each region at each multiphase interaction node are obtained in the following specific process: The infrasound coefficient and geomagnetic disturbance coefficient corresponding to each region at each multiphase interaction node are obtained and normalized, and the infrasound coefficient and geomagnetic disturbance coefficient corresponding to each region at each multiphase interaction node are input into the coupling effect coefficient analysis model, and then the coupling effect coefficient corresponding to the infrasound and geomagnetic disturbance corresponding to each region at each multiphase interaction node is input.

8. The real-time monitoring information system for a thermal power plant based on 5G according to claim 7, characterized in that: The specific analysis process for analyzing the facility corrosion degree corresponding to each area at each multiphase interaction node is as follows: The coupling effect coefficient corresponding to each area at each multiphase interaction node is compared with the coupling effect coefficient interval corresponding to the set corrosion degree of each facility. If the coupling effect coefficient corresponding to a certain area at a certain multiphase interaction node is within the coupling effect coefficient interval corresponding to the set corrosion degree of a certain facility, the set corrosion degree of the facility is recorded as the facility corrosion degree corresponding to the area at the multiphase interaction node. The facility corrosion degree includes mild, moderate and severe degrees. According to the corrosion degree of facilities in each area at each multiphase interaction node, the maintenance plan corresponding to each area at each multiphase interaction node is analyzed.

9. The 5G-based real-time monitoring information system for a thermal power plant according to claim 8, characterized in that: The maintenance plan corresponding to each area at each multi-phase interaction node is analyzed. The specific analysis process is as follows: X1. If the corrosion level of the facilities corresponding to each area at each multiphase interaction node is mild, the mild corrosion prevention maintenance plan shall be implemented; X2. If the facility corrosion level corresponding to each area at each multiphase interaction node is mild, implement the moderate corrosion enhancement repair and dynamic protection plan; X3. If the degree of corrosion of the facilities corresponding to each area at each multiphase interaction node is mild, the severe corrosion emergency renewal and intelligent upgrade protection plan will be implemented.

10. A 5G-based real-time monitoring information control method for a thermal power plant, which implements the 5G-based real-time monitoring information system for a thermal power plant according to any one of claims 1 to 9, characterized in that: include: Step 1: Integration of multiphase 5G sensing edge: Deploy multiphase 5G smart devices at each multiphase interaction node in the target thermal power plant, set several monitoring time points, and then analyze the corresponding biofilm corrosion assessment value at each multiphase interaction node at each monitoring time point; Step 2: Analysis of intelligent prevention and control strategies: Based on the biofilm corrosion assessment values ​​corresponding to each multiphase interaction node at each monitoring time point, the maturity of the biofilm corrosion corresponding to each multiphase interaction node at each monitoring time point is evaluated, and then the intelligent prevention and control strategies corresponding to each multiphase interaction node at each monitoring time point are analyzed; Step 3. Coupling of infrasound and geomagnetic disturbances: After the corresponding intelligent prevention and control strategies are implemented at each multiphase interaction node at each monitoring time point, the coupling effect coefficients of the infrasound and geomagnetic disturbances corresponding to each region at each multiphase interaction node are obtained, and then the degree of facility corrosion corresponding to each region at each multiphase interaction node is analyzed.

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