Condenser seawater leakage online monitoring method, system, medium and equipment

Abstract

The present application relates to condenser seawater leakage online monitoring method, system, medium and equipment, including: import simulation data, and complete system initialization;According to the real-time monitoring data and sodium ion concentration field distribution under different leakage conditions of real-time acquisition Multi-parameter trend matching and early warning;According to the real-time monitoring data and simulation data are leaked, and the comprehensive leakage rate of seawater is calculated.The present application can realize the period trend matching, significantly improve the leakage early warning ability, can realize the leakage position and the quantization at the same time, solved the huge error caused by mixing uneven in the traditional water chemical material balance calculation.Moreover, the present application adopts multi-parameter trend matching, effectively distinguishes the real seawater leakage and the chemical anomaly caused by water treatment system, avoids unnecessary shutdown or power reduction event, improves the economy of the unit.

Description

Technical Field

[0001] This invention relates to the technical field of nuclear power plant equipment monitoring, and more specifically, to a method, system, medium, and equipment for online monitoring of seawater leakage in condensers. Background Technology

[0002] As the core equipment of the thermal cycle system in a nuclear power plant, the condenser's main function is to condense the steam discharged from the turbine into water through seawater cooling, forming a closed loop in the steam-water system. It also establishes and maintains a certain vacuum at the turbine exhaust port, thereby increasing the usable heat gradient within the turbine and ensuring unit operating efficiency. Nuclear power plant condensers typically use titanium heat transfer tubes, with seawater flowing inside the tubes for heat exchange, while the outer side of the tubes is the condensate side. When the titanium tubes are damaged due to corrosion, vibration fatigue, or the introduction of foreign objects, seawater can leak into the condensate system, leading to a deterioration in condensate quality. The hazards of seawater leakage are as follows: Firstly, impurities such as chloride and sodium ions in seawater can cause severe corrosion and scaling in the thermal system equipment, shortening its service life. Secondly, impurities entering the steam generator may cause reduced unit power and emergency shutdown, seriously threatening the safe and economical operation of the unit. Therefore, monitoring seawater leakage from the condenser is crucial.

[0003] However, current monitoring technologies largely rely on manual comparison of data from both sides, followed by a trial-and-error approach of isolating data from each side to pinpoint the leak. This fails to consider the significant impact of the spatial location of the leak point on ion diffusion paths, mixing uniformity, and monitoring response time, thus failing to provide accurate data for decision-making. Furthermore, current monitoring technologies are mostly threshold-based alarms, not fully utilizing the multi-physics field changes during the leak process. The lack of sophisticated digital simulation support for the complex flow and diffusion processes inside the condenser makes it impossible to achieve spatial inversion and trend prediction of the leak point. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a method, system, medium and equipment for online monitoring of seawater leakage in condensers, addressing the problems existing in the prior art.

[0005] The technical solution adopted by this invention to solve its technical problem is: constructing an online monitoring method for seawater leakage in condensers, comprising: Import simulation data and complete system initialization; Multi-parameter trend matching and early warning are performed based on real-time monitoring data and simulation data collected in real time. Leakage location is determined based on the real-time monitoring data and the simulation data, and the overall seawater leakage rate is calculated.

[0006] In the online monitoring method for seawater leakage in condensers according to the present invention, the step of performing multi-parameter trend matching and early warning based on real-time monitoring data and simulation data includes: The sodium ion concentration, chloride ion concentration, and hydrogen conductivity at each monitoring point are obtained based on the real-time monitoring data. The sodium ion concentration is matched with the sodium ion concentration change rate-time curve in the simulation data; If the sodium ion concentration at the current monitoring point shows an upward trend after multiple consecutive samplings, and the rate of change exceeds a preset threshold, then it is determined whether the sodium chloride ratio is within the characteristic range of seawater leakage. If the ratio of chloride to sodium is within the characteristic range of seawater leakage, an early warning will be triggered, and the leak side will be preliminarily identified.

[0007] In the online monitoring method for condenser seawater leakage described in this invention, the step of locating the leakage based on the real-time monitoring data and the simulation data, and calculating the overall seawater leakage rate, includes: Based on the real-time monitoring data, obtain near-end monitoring point data and far-end monitoring point data; Based on the data from the near-end monitoring point and the data from the far-end monitoring point, calculate the response time difference and concentration ratio between the near-end monitoring point and the far-end monitoring point; Based on the response time difference and the concentration ratio, combined with the location-response feature mapping relationship in the simulation data, the leakage area is located; The location-corrected leakage rate quantification model is invoked, and the corresponding correction coefficient is selected according to the leakage area. The calculation is then performed in conjunction with the real-time flow rate and real-time concentration to obtain the comprehensive seawater leakage rate.

[0008] In the online monitoring method for condenser seawater leakage described in this invention, the method further includes: If an isolation operation is performed, the actual sodium ion concentration decrease curve will be obtained by continuously monitoring the water quality recovery curve after the isolation operation is performed. The isolation operation was verified based on the actual sodium ion concentration decrease curve and the theoretical recovery curve. The currently acquired real-time monitoring data is fed back to the spectral library for updating and correcting the coefficients.

[0009] In the online monitoring method for seawater leakage in condensers described in this invention, the overall seawater leakage rate is calculated using the following formula: ; in, The overall seawater leakage rate, The leakage rate of the seawater foundation for the condenser. This is a correction factor for the location of the leak. This is the dynamic response attenuation coefficient.

[0010] This invention also provides an online monitoring system for condenser seawater leakage, applied to the above-described online monitoring method for condenser seawater leakage, comprising: A flow field optimization-based sensing network is used to monitor parameters at monitoring points located in the steam-side outlet pipe of the condenser, the near-end pipe on the water inlet side of the condenser, and the middle section pipe, and to obtain real-time monitoring data. The intelligent diagnostic core module is used to perform multi-parameter trend matching and early warning based on the real-time monitoring data and simulation data, as well as to locate leaks based on the real-time monitoring data and simulation data, and calculate the comprehensive seawater leakage rate. The adaptive monitoring strategy engine module is used to dynamically adjust the system's operating parameters and monitoring strategies based on the results output by the intelligent diagnostic core module.

[0011] In the online monitoring system for seawater leakage in condensers described in this invention, the flow field-optimized sensing network includes: The core water quality monitoring unit is used to monitor the sodium ion concentration, chloride ion concentration, and hydrogen conductivity at each monitoring point in real time. The flow field feature sensing unit is used to capture cavitation acoustic patterns caused by seawater leakage and local temperature fields caused by low-temperature seawater leakage. The auxiliary parameter monitoring unit is used to monitor the real-time flow rate of condensate, the condenser inlet pressure, and the condenser outlet pressure.

[0012] In the online monitoring system for seawater leakage in condensers described in this invention, the intelligent diagnostic core module includes: A leakage feature map library is used to store the simulation data; A leak diagnosis and location model is used to perform multi-parameter trend matching and early warning based on the real-time monitoring data and simulation data, and to locate leaks based on the real-time monitoring data and simulation data. A dynamic quantification model for leakage rate is used to calculate the overall leakage rate of seawater.

[0013] The present invention also provides a storage medium storing a computer program adapted for loading by a processor to perform the steps of the online monitoring method for condenser seawater leakage as described above.

[0014] The present invention also provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the steps of the online monitoring method for condenser seawater leakage as described above by calling the computer program stored in the memory.

[0015] The online monitoring method, system, medium, and equipment for condenser seawater leakage of the present invention have the following beneficial effects: They include: importing simulation data and completing system initialization; performing multi-parameter trend matching and early warning based on real-time monitoring data and sodium ion concentration field distribution under different leakage conditions; locating the leak based on real-time monitoring data and simulation data, and calculating the comprehensive seawater leakage rate. This invention can achieve time-based trend matching, significantly improving leakage early warning capabilities, and simultaneously enabling the declaration and quantification of leak locations, solving the huge errors caused by uneven mixing in traditional water chemical material balance calculations. Furthermore, the multi-parameter trend matching method effectively distinguishes between actual seawater leakage and chemical anomalies caused by the water treatment system, avoiding unnecessary downtime or power reduction events, and improving the unit's economic efficiency. Attached Figure Description

[0016] The present invention will be further described below with reference to the accompanying drawings and embodiments. In the accompanying drawings: Figure 1 This is a flowchart illustrating an embodiment of the online monitoring method for seawater leakage in condensers provided by the present invention. Figure 2 This is a flowchart illustrating Embodiment 2 of the online monitoring method for seawater leakage in condensers provided by the present invention; Figure 3 This is a logic block diagram of the online monitoring system for seawater leakage in condensers provided in an embodiment of the present invention. Detailed Implementation

[0017] 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.

[0018] To address the problems of crude and low-precision methods for leak location and quantification in existing monitoring technologies, and the lack of intelligent diagnostic models based on physical mechanisms, this invention provides an online monitoring method and system for condenser seawater leaks. This invention is an online monitoring system and method that deeply integrates flow field simulation laws and experimental verification data, possesses spatial location sensing capabilities, uses sodium ions as the core early indicator, and achieves intelligent diagnosis and adaptive linkage.

[0019] refer to Figure 1 In a preferred embodiment, the online monitoring method for seawater leakage in the condenser includes steps S10, S20, S30, and S40.

[0020] Step S10: Import simulation data and complete system initialization.

[0021] In this embodiment of the invention, the simulation data is obtained through simulation using a simulation model (such as a CFD (Computational Fluid Dynamics) flow field simulation model), including but not limited to the sodium ion concentration field distribution under different leakage conditions (such as the sodium ion concentration-time response curves of each monitoring point (near end / far end) at different leakage locations (top / middle / near end / far end) and different leakage rates), and the sodium chloride-chloride ratio variation characteristics. The sodium ion concentration field distribution and sodium chloride-chloride ratio variation characteristics under these different leakage conditions reveal the mapping relationship between the location of the leakage point and the response morphology of the chemical indicators.

[0022] In practical applications, the simulation data obtained from the previous simulation is imported into the intelligent diagnostic core module to complete system initialization.

[0023] Step S20: Perform multi-parameter trend matching and early warning based on the real-time monitoring data and simulation data collected in real time.

[0024] In some embodiments, multi-parameter trend matching and early warning based on real-time monitoring data and simulation data includes: obtaining sodium ion concentration, chloride ion concentration and hydrogen conductivity at each monitoring point based on real-time monitoring data; matching the sodium ion concentration with the sodium ion concentration change rate-time curve in the simulation data; if the sodium ion concentration at the current monitoring point shows an upward trend after multiple consecutive samplings and the change rate exceeds a preset threshold, then determining whether the sodium chloride ratio is within the seawater leakage characteristic range; if the sodium chloride ratio is within the seawater leakage characteristic range, then triggering an early warning and initially identifying the leakage side.

[0025] In practical applications, a flow field-optimized sensing network is used to collect the sodium ion concentration at each monitoring point in real time. ), chloride ion concentration ( ) and hydrogen conductivity ( The system obtains real-time sodium ion concentration, chloride ion concentration, and hydrogen conductivity. Then, it matches the real-time sodium ion concentration with the sodium ion concentration change rate-time curve in the leakage characteristic spectrum library. When the sodium ion concentration at the monitoring point shows an upward trend after multiple consecutive samplings (e.g., 3 times), and the change rate (dc / dt) exceeds a preset threshold, the real-time sodium chloride ratio (C) is calculated. Cl / C Na If the ratio falls within the seawater leakage characteristic range (excluding simple sodium ion fluctuation interference), the system triggers an early warning and preliminarily determines the leakage side (side A or side B).

[0026] In this embodiment of the invention, the fast response of the near-end monitoring point is utilized to set a dynamic early warning threshold. When the change in the near-end sodium ion concentration exceeds the dynamic early warning preset value and the sodium chloride ratio is close to the seawater standard value (molar ratio of approximately 1.17, set according to actual measured values), an early warning is triggered, effectively eliminating non-leakage interferences such as resin regeneration.

[0027] This invention, by deploying highly sensitive sodium meters at optimized flow field locations and utilizing a spectral library for early trend matching, can reduce the average early warning response time for minor leaks by more than 30%, with a particularly significant improvement in early warning capabilities for traditionally insensitive top leaks. Furthermore, this invention employs a dual verification logic of "sodium ion change rate + sodium chloride ratio," effectively distinguishing between real seawater leaks and chemical anomalies caused by water treatment systems (such as mixed-bed regeneration), avoiding unnecessary downtime or power reduction events, improving unit economy, significantly enhancing system anti-interference capabilities, and effectively reducing false alarm rates.

[0028] Step S30: Locate the leak based on real-time monitoring data and simulation data, and calculate the overall seawater leakage rate.

[0029] In some embodiments, leak location and calculation of the overall seawater leakage rate based on real-time monitoring data and simulation data include: acquiring near-end monitoring point data and far-end monitoring point data based on real-time monitoring data; calculating the response time difference and concentration ratio between the near-end and far-end monitoring points based on the near-end and far-end monitoring point data; locating the leak area based on the response time difference and concentration ratio, combined with the location-response feature mapping relationship in the simulation data; calling the location-corrected leakage rate quantification model, selecting the corresponding correction coefficient according to the leak area, and calculating the overall seawater leakage rate by combining real-time flow rate and real-time concentration.

[0030] In this step, the response time difference between the near-end and far-end monitoring points is calculated. The system uses the leak rate ratio and the location-response feature mapping relationship in the leak feature map library to determine the leak area (i.e., the area where the leak occurred), achieving precise leak location. Simultaneously, by calling the location-corrected leak rate quantification model, the system automatically selects the corresponding correction coefficient based on the determined leak area and calculates the comprehensive seawater leak rate (CRFR) by combining real-time flow and concentration data. ).

[0031] In practical applications, the response time difference of sodium ion concentration at near-end and far-end monitoring points is compared ( ) and concentration ratio, and combined with the location-response characteristic mapping relationship, if If the concentration is small but the peak concentration is high, it is determined to be a central leak (rapid diffusion). If the concentration is large and rises slowly, it is determined to be a top leak (slow diffusion).

[0032] Specifically, to address the error problem in calculation results caused by leakage location and diffusion path in traditional static models, this invention proposes a dynamic quantization algorithm that integrates location correction compensation. For the diffusion differences at different leakage locations and monitoring points, a correction coefficient is introduced to compensate and correct the steady-state calculation results, thereby obtaining the comprehensive seawater leakage rate.

[0033] Preferably, in this embodiment of the invention, the overall seawater leakage rate is calculated using the following formula: ; in, The overall seawater leakage rate, The leakage rate of the seawater foundation for the condenser. This is a correction factor for the location of the leak. This is the dynamic response attenuation coefficient. It is a function of the axial distance (L) and radial height (H) of the leak point, which can be obtained through experimental calibration (e.g., if the mixing is fast in the middle of the leak, the correction factor is 0.92-0.98; if the mixing is slow in the top of the leak, the correction factor is 1.02-1.08). It is used to correct the transient underestimation of concentration at monitoring points before they reach equilibrium.

[0034] It should be noted that, It can also be called the steady-state leakage rate, and its specific calculation expression is as follows: ; in, , These represent the sodium ion concentrations at the condensate pump outlet and condenser inlet, respectively, in units of... ; This represents the standard concentration of sodium ions in seawater, in units of... ; The condenser water supply flow rate is expressed in L / h.

[0035] This invention solves the significant errors caused by uneven mixing in traditional water chemical material balance calculations by introducing a correction coefficient based on flow field characteristics to determine the leak location. This improves the accuracy of leak location and area positioning to >95%, and reduces the leakage rate quantification error to ≤10%, achieving a breakthrough in positioning and quantification accuracy. (Reference) Figure 2 The following steps are included after step S30: Step S40: If an isolation operation is performed, the actual sodium ion concentration decrease curve is obtained by continuously monitoring the water quality recovery curve after the isolation operation is performed.

[0036] Step S50: Verify the isolation operation based on the actual sodium ion concentration decrease curve and the theoretical recovery curve.

[0037] Step S60: Feed back the currently acquired real-time monitoring data to the spectral library to update the correction coefficients (i.e., the correction coefficients for the leak location).

[0038] This invention verifies the thoroughness of isolation by continuously monitoring water quality recovery after isolation operations and comparing the actual sodium ion concentration decrease curve with the theoretical recovery curve in a leak characteristic map library. Simultaneously, the measured data from this event is fed back to the leak characteristic map library to update the correction coefficient for the leak location, thus achieving self-optimization of the water chemistry diagnostic model.

[0039] refer to Figure 3 The present invention also provides an online monitoring system for condenser seawater leakage. This online monitoring system for condenser seawater leakage is used to implement the online monitoring method for condenser seawater leakage disclosed in the embodiments of the present invention.

[0040] The condenser seawater leakage online monitoring system includes: The flow field-optimized sensing network 30 is used to monitor parameters at monitoring points located in the condenser steam-side outlet pipe, the near-end pipe on the condenser inlet side, and the middle section pipe, obtaining real-time monitoring data. In this embodiment of the invention, the flow field-optimized sensing network 30 is the basic component of the invention, aiming to solve the problem of "fast and accurate measurement" from a physical perspective. Based on the simulation results of the internal flow field of the condenser, "chemically sensitive locations" are selected on the condenser steam-side outlet pipe, and monitoring points are added in the near-end pipe closer to the condenser inlet side and in the middle section pipe where the "contamination plume" shown in the flow field simulation has a high probability of passing through.

[0041] Preferably, the flow field optimization-based sensing network 30 includes: The core water quality monitoring unit 301 is used to monitor the sodium ion concentration, chloride ion concentration, and hydrogen conductivity at each monitoring point in real time. Preferably, the core water quality monitoring unit 301 includes: a high-precision online sodium meter, a high-precision hydrogen conductivity sensor, and a chloride ion sensor. By setting up the high-precision online sodium meter, continuous and rapid monitoring of sodium ions can be achieved; the high-precision hydrogen conductivity sensor can monitor hydrogen conductivity; and the chloride ion sensor can monitor chloride ions. Preferably, the measurement range of the high-precision online sodium meter can cover 0.001 μg / L-10 mg / L, the measurement range of the high-precision hydrogen conductivity sensor can cover 0.001 μS / cm-1 μS / cm, and the measurement range of the chloride ion sensor can cover 0.1 μg / L-10 mg / L.

[0042] In practical applications, high-precision movable online sodium meter interfaces can be arranged near the steam side outlet of the condenser on side A / B (the optimal sensitive location), compatible with high-precision online sodium meters, to achieve continuous and rapid monitoring of sodium ions.

[0043] The flow field characteristic sensing unit 302 is used to capture cavitation acoustic patterns caused by seawater leakage and local temperature fields caused by low-temperature seawater leakage. Preferably, the flow field characteristic sensing unit 302 includes a high-frequency acoustic wave sensor array and a distributed optical fiber temperature sensing network. The high-frequency acoustic wave sensor array captures specific cavitation acoustic patterns caused by seawater leakage, and the distributed temperature sensing network monitors local temperature field anomalies caused by low-temperature seawater leakage.

[0044] In practical applications, a high-frequency acoustic sensor array is deployed in the region outside the condenser shell corresponding to the key diffusion path of the pollution plume in the simulation, to capture specific cavitation acoustic patterns caused by leakage; a distributed optical fiber temperature sensing network is embedded in the key layer of the titanium tube bundle region to monitor local temperature field anomalies caused by low-temperature seawater leakage.

[0045] The auxiliary parameter monitoring unit 303 is used to monitor the real-time flow rate of condensate, the condenser inlet pressure, and the condenser outlet pressure. Preferably, the auxiliary parameter monitoring unit 303 includes: a condensate flow meter, a condenser inlet pressure sensor, and a condenser outlet pressure sensor. The condensate flow meter can monitor the real-time flow rate of condensate, and the condenser inlet / outlet pressures can be monitored by the condenser inlet and outlet pressure sensors, thereby providing input for the quantification model.

[0046] The intelligent diagnostic core module 40 is used for multi-parameter trend matching and early warning based on real-time monitoring data and simulation data, as well as for leak location based on real-time monitoring data and simulation data, and for calculating the comprehensive seawater leakage rate. In this embodiment of the invention, the intelligent diagnostic core module 40 is the core software part of the system of the invention, and it embeds a leak feature map library 401, a leak diagnosis and location model 402, and a dynamic quantification model of leakage rate 403.

[0047] Preferably, the intelligent diagnostic core module 40 includes: Leakage feature map library 401 is used to store simulation data.

[0048] In this embodiment of the invention, the leakage characteristic spectrum library 401 can be constructed based on CFD flow field simulation and bench test data. The leakage characteristic spectrum library 401 includes, but is not limited to: sodium ion concentration-time response curves and sodium chloride-chloride ratio changes at various monitoring points (near / far) under different leakage locations (top / middle / near / far) and different leakage rates. This spectrum reveals the mapping relationship between the location of the leakage point and the response morphology of chemical indicators.

[0049] Leak diagnosis and location model 402 is used for multi-parameter trend matching and early warning based on real-time monitoring data and simulation data, as well as for leak location based on real-time monitoring data and simulation data.

[0050] In this embodiment of the invention, the early warning logic and leak location logic of the leak diagnosis and location model 402 are as follows: Early warning logic: Utilizing the rapid response of near-end monitoring points, a dynamic early warning threshold is set. When the rate of change of near-end sodium ion concentration exceeds the set value, and the sodium chloride ratio is close to the seawater standard value (molar ratio of approximately 1.17, set according to actual measurement value), an early warning is triggered, effectively eliminating non-leakage interferences such as resin regeneration.

[0051] Leakage location logic: Compare the sodium ion concentration response time difference (Δt) between the near-end and far-end monitoring points. If Δt is small and the concentration peak is high, it is determined to be a middle leak (fast diffusion); if Δt is large and the concentration rise is slow, it is determined to be a top leak (slow diffusion).

[0052] The dynamic quantification model 403 for leakage rate is used to calculate the overall leakage rate of seawater.

[0053] To address the errors in calculation results caused by leakage location and diffusion path in traditional static models, a dynamic quantization algorithm integrating location correction compensation is proposed. Specifically, the dynamic quantization model 403 for leakage rate is used to compensate for the diffusion differences at different leakage locations and monitoring points by introducing a correction coefficient for leakage location, thereby correcting the steady-state calculation results (i.e., steady-state leakage rate).

[0054] In practical applications, the steady-state leakage rate is calculated as follows: ; in, The seawater foundation leakage rate of the condenser (i.e., steady-state leakage rate). , These represent the sodium ion concentrations at the condensate pump outlet and condenser inlet, respectively, in units of... ; This represents the standard concentration of sodium ions in seawater, in units of... ; The condenser water supply flow rate is expressed in L / h.

[0055] To address the error issue, this invention introduces position correction compensation, wherein the calculation of the leakage position correction compensation is as follows: ; in, The overall seawater leakage rate, The leakage rate of the seawater foundation for the condenser. This is a correction factor for the location of the leak. This is the dynamic response attenuation coefficient. This is the leakage rate after location correction compensation, which is the final output value, and the unit is L / h.

[0056] The adaptive monitoring strategy engine module 50 is used to dynamically adjust the system's operating parameters and monitoring strategies based on the results output by the intelligent diagnostic core module 40.

[0057] In this embodiment of the invention, the adaptive monitoring strategy engine module 50 mainly adjusts the operating parameters and strategies of the monitoring system based on the results of the leakage location (leakage area), confidence probability and preliminary leakage level output by the intelligent diagnostic core module 40.

[0058] In specific applications, when the intelligent diagnostic core module 40 outputs the diagnostic prompt that the leak location is the top leak, the adaptive monitoring strategy engine module 50 automatically increases the sampling frequency of the core water quality monitoring unit 301 because the pollutant diffusion path of the leak at this location is long and the monitoring signal response delay is significant. When the intelligent diagnostic core module 40 outputs the diagnostic prompt that the leak location is in the middle or near end, due to the fast signal response and drastic changes, the adaptive monitoring strategy engine module 50 automatically reduces the redundant alarm threshold to avoid false alarms. When the diagnostic prompt output by the intelligent diagnostic core module 40 is: trace leakage (e.g., <0.001L / h), the adaptive monitoring strategy engine module 50 automatically calls the low leakage baseline curve in the leakage feature map library to distinguish noise from real signals.

[0059] The condenser seawater leakage online monitoring system of the present invention has self-evolution capability. Specifically, by constructing a closed loop from "simulation / experiment" to "model building" and then to "on-site data feedback optimization", the monitoring system can continuously evolve with the accumulation of operating experience and become more adaptable.

[0060] The invention will now be illustrated with specific application examples.

[0061] Example 1: Applied to a megawatt-class pressurized water reactor nuclear power plant.

[0062] Deployment of the flow field optimization-based sensing network 30: Based on the CFD simulation results of this type of condenser, a high-precision sodium meter is installed at the steam side outlet pipes on the A / B side, 3m (near end) and 8m (middle section) from the water inlet side.

[0063] Leakage Feature Map Library 401 Construction: Importing the concentration spatiotemporal distribution maps generated from a 1.3 million-grid CFD model built for this condenser, covering six typical leakage scenarios including top / middle / near end / far end, as well as the corresponding data obtained from bench experiments. Coefficient table.

[0064] Simulation verification: A leakage of 0.005 L / h was simulated in the middle titanium tube on side A. After system operation: At 55 seconds, the near-end sodium meter detected an upward trend in concentration, and the intelligent core initiated spectrum matching.

[0065] At the 70th second, the matching algorithm determined that its similarity to the "central leakage" map reached 85%, triggering an early warning and calling α=0.92 (central correction coefficient) for preliminary estimation.

[0066] At the 100th second, combined with the acoustic signal, the leak in the middle of side A was confirmed. The comprehensive seawater leakage rate output by the dynamic quantification model 403 was 0.0048 L / h.

[0067] All data from this event will be automatically archived for future optimization. Coefficients and response graphs.

[0068] Example 2: Application in a megawatt-class pressurized water reactor nuclear power plant.

[0069] Deployment of the flow field optimization-based sensing network 30: Based on the CFD simulation results of the power plant's condenser, high-precision online sodium meters and chloride ion sensors were installed at the near end (3m from the seawater inlet) and far end (conventional condensate pump outlet) of the steam side outlet pipe on the A / B side of the condenser, respectively.

[0070] Leakage simulation verification: Simulate a minute leak (rate 0.005 L / h) in the titanium tube in the middle of side A.

[0071] Conventional method results: The conventional sodium meter located at the condensate pump outlet only detected a slight increase in concentration 180 seconds after the leak occurred. Due to the large signal fluctuation, no alarm was triggered.

[0072] Performance of the method of this invention: Fifty-five seconds after the leak occurred, the near-end sodium meter detected an increasing concentration trend, with the rate of change dc / dt exceeding the threshold.

[0073] The system simultaneously calculates the sodium chloride ratio. The result showed a value of 0.86 (close to the seawater mass ratio), eliminating interference and triggering an early warning.

[0074] Based on the characteristics of fast response and high concentration at the near end, the system determined that it was a "leakage in the middle of side A".

[0075] Call the middle leakage correction factor =0.92, calculate the leakage rate. =0.0048L / h (error only 4%).

[0076] The operators conducted targeted leak checks based on the system's recommendations, and the results were completely consistent with the diagnosis.

[0077] As can be seen from the above examples, the online monitoring method and system for condenser seawater leakage of the present invention has the following advantages: A qualitative leap in early warning capabilities: By deploying highly sensitive sodium meters at optimized flow field locations and utilizing a spectral library to achieve early trend matching, the average early warning response time for minute leaks can be shortened by more than 30%, with a particularly significant improvement in early warning capabilities for traditionally insensitive top leaks.

[0078] Breakthrough in positioning and quantification accuracy: By introducing a position correction coefficient based on flow field characteristics, the huge error caused by uneven mixing in traditional water chemical material balance calculations is solved, improving the positioning accuracy of the leak side and area to >95% and reducing the leakage rate quantification error to ≤10%.

[0079] Strong anti-interference capability and low false alarm rate: The dual verification logic of "sodium ion change rate + sodium chloride ratio" effectively distinguishes between real seawater leakage and chemical anomalies caused by water treatment systems (such as mixed bed regeneration), avoiding unnecessary shutdowns or power reduction events and improving the unit's economy.

[0080] It has self-evolution capability: The system constructs a closed loop from "simulation / experiment" to "model building" and then to "on-site data feedback optimization", which enables the monitoring system to continuously evolve with the accumulation of operational experience and become more adaptable.

[0081] Furthermore, an electronic device of the present invention includes a memory and a processor; the memory is used to store a computer program; the processor is used to execute the computer program to implement the online monitoring method for condenser seawater leakage as described in any of the above embodiments. Specifically, according to embodiments of the present invention, the processes described above with reference to the flowchart can be implemented as computer software programs. For example, embodiments of the present invention include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowchart. In such embodiments, when the computer program is downloaded, installed, and executed by an electronic device, it performs the functions defined in the methods of the embodiments of the present invention. The electronic device in the present invention can be a terminal such as a laptop, desktop computer, tablet computer, or smartphone, or it can be a server.

[0082] Furthermore, one type of storage medium of the present invention stores a computer program thereon, which, when executed by a processor, implements the online monitoring method for condenser seawater leakage described above. Specifically, it should be noted that the storage medium described above in the present invention can be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. A computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In the present invention, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In the present invention, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, wherein computer-readable program code is carried. The transmitted data signal can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. The computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to: wires, optical fibers, RF (radio frequency), etc., or any suitable combination thereof.

[0083] The aforementioned computer-readable medium may be included in the aforementioned electronic device; or it may exist independently and not assembled into the electronic device.

[0084] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to the method section.

[0085] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0086] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented directly by hardware, a software module executed by a processor, or a combination of both. The software module can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0087] The above embodiments are only for illustrating the technical concept and features of the present invention, and are intended to enable those skilled in the art to understand the content of the present invention and implement it accordingly. They do not limit the scope of protection of the present invention. All equivalent changes and modifications made within the scope of the claims of the present invention should fall within the scope of the claims of the present invention.

Claims

1. A method for online monitoring of seawater leakage in a condenser, characterized in that, include: Import simulation data and complete system initialization; Multi-parameter trend matching and early warning are performed based on real-time monitoring data and simulation data collected in real time. Leakage location is determined based on the real-time monitoring data and the simulation data, and the overall seawater leakage rate is calculated.

2. The online monitoring method for seawater leakage in a condenser according to claim 1, characterized in that, The multi-parameter trend matching and early warning based on the real-time monitoring data and the simulation data includes: The sodium ion concentration, chloride ion concentration, and hydrogen conductivity at each monitoring point are obtained based on the real-time monitoring data. The sodium ion concentration is matched with the sodium ion concentration change rate-time curve in the simulation data; If the sodium ion concentration at the current monitoring point shows an upward trend after multiple consecutive samplings, and the rate of change exceeds a preset threshold, then it is determined whether the sodium chloride ratio is within the characteristic range of seawater leakage. If the ratio of chloride to sodium is within the characteristic range of seawater leakage, an early warning will be triggered, and the leak side will be preliminarily identified.

3. The online monitoring method for seawater leakage in a condenser according to claim 1, characterized in that, The step of locating the leak based on the real-time monitoring data and the simulation data, and calculating the overall seawater leakage rate, includes: Based on the real-time monitoring data, obtain near-end monitoring point data and far-end monitoring point data; Based on the data from the near-end monitoring point and the data from the far-end monitoring point, calculate the response time difference and concentration ratio between the near-end monitoring point and the far-end monitoring point; Based on the response time difference and the concentration ratio, combined with the location-response feature mapping relationship in the simulation data, the leakage area is located; The location-corrected leakage rate quantification model is invoked, and the corresponding correction coefficient is selected according to the leakage area. The calculation is then performed in conjunction with the real-time flow rate and real-time concentration to obtain the comprehensive seawater leakage rate.

4. The online monitoring method for seawater leakage in a condenser according to claim 1, characterized in that, The method further includes: If an isolation operation is performed, the actual sodium ion concentration decrease curve will be obtained by continuously monitoring the water quality recovery curve after the isolation operation is performed. The isolation operation was verified based on the actual sodium ion concentration decrease curve and the theoretical recovery curve. The currently acquired real-time monitoring data is fed back to the spectral library for updating and correcting the coefficients.

5. The online monitoring method for seawater leakage in a condenser according to any one of claims 1-4, characterized in that, The overall seawater leakage rate is calculated using the following formula: ； in, The overall seawater leakage rate, The leakage rate of the seawater foundation of the condenser. This is a correction factor for the location of the leak. This is the dynamic response attenuation coefficient.

6. A condenser seawater leakage online monitoring system, applied to the condenser seawater leakage online monitoring method according to any one of claims 1-5, characterized in that, include: A flow field optimization-based sensing network is used to monitor parameters at monitoring points located in the steam-side outlet pipe of the condenser, the near-end pipe on the water inlet side of the condenser, and the middle section pipe, and to obtain real-time monitoring data. The intelligent diagnostic core module is used to perform multi-parameter trend matching and early warning based on the real-time monitoring data and simulation data, as well as to locate leaks based on the real-time monitoring data and simulation data, and calculate the comprehensive seawater leakage rate. The adaptive monitoring strategy engine module is used to dynamically adjust the system's operating parameters and monitoring strategies based on the results output by the intelligent diagnostic core module.

7. The online monitoring system for seawater leakage in condensers according to claim 6, characterized in that, The flow field optimization-based sensing network includes: The core water quality monitoring unit is used to monitor the sodium ion concentration, chloride ion concentration, and hydrogen conductivity at each monitoring point in real time. The flow field feature sensing unit is used to capture cavitation acoustic patterns caused by seawater leakage and local temperature fields caused by low-temperature seawater leakage. The auxiliary parameter monitoring unit is used to monitor the real-time flow rate of condensate, the condenser inlet pressure, and the condenser outlet pressure.

8. The online monitoring system for seawater leakage in condensers according to claim 6, characterized in that, The core module of intelligent diagnosis includes: A leakage feature map library is used to store the simulation data; A leak diagnosis and location model is used to perform multi-parameter trend matching and early warning based on the real-time monitoring data and simulation data, and to locate leaks based on the real-time monitoring data and simulation data. A dynamic quantification model for leakage rate is used to calculate the overall leakage rate of seawater.

9. A storage medium, characterized in that, The storage medium stores a computer program adapted for loading by a processor to perform the steps of the online monitoring method for condenser seawater leakage as described in any one of claims 1 to 5.

10. An electronic device, characterized in that, The device includes a memory and a processor, wherein the memory stores a computer program, and the processor executes the steps of the online monitoring method for condenser seawater leakage as described in any one of claims 1 to 5 by calling the computer program stored in the memory.

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