A method and apparatus for resin regeneration scrubbing end point determination and leak monitoring

Abstract

This invention discloses a method and apparatus for determining the endpoint of resin regeneration scrubbing and monitoring leakage. The method includes: measuring a water sample in real time using an online laser particle size analyzer to obtain particle size distribution data of particulate matter in the regenerated wastewater; determining the particle number concentration within a first particle size range and a second particle size range based on the particle size distribution data; determining that the scrubbing endpoint has been reached based on the particle number concentration within the first particle size range decreasing from its peak value and remaining below a first preset concentration for a first preset duration; and determining that resin leakage has occurred based on the particle number concentration within the second particle size range exceeding a second preset concentration and remaining below a second preset duration. By monitoring the changing trends of particle concentration within the first and second particle size ranges in the regenerated wastewater in real time, the scrubbing endpoint can be accurately determined, thereby improving the scrubbing effect and reducing demineralized water consumption; simultaneously, leakage during the resin regeneration process can be effectively monitored to prevent resin loss.

Description

Technical Field

[0001] This application belongs to the field of power plant water treatment technology, specifically relating to a method and apparatus for determining the endpoint of resin regeneration scrubbing and monitoring leaks. Background Technology

[0002] In the thermal systems of power plants, condensate polishing is a crucial step in ensuring boiler feedwater quality and preventing corrosion and scaling of thermal equipment. When the ion exchange resin used for condensate polishing becomes ineffective, it needs to be regenerated to restore its exchange capacity. The air scrubbing step in the regeneration process is essential; its purpose is to use compressed air to agitate and remove contaminants adhering to the resin surface, allowing them to be discharged with the water flow. This ensures that the resin can fully contact the regenerated solution, improving the regeneration effect.

[0003] Currently, the air scrubbing sequence in resin regeneration processes typically relies on pre-set, fixed scrubbing cycles or times based on human experience. This process has the following drawbacks: it cannot adaptively adjust to the actual degree of resin contamination and scrubbing effectiveness. When water quality fluctuates or resin contamination changes, the pre-set fixed program may result in insufficient scrubbing, leaving contaminants behind and affecting regeneration efficiency, thus reducing the cycle water production of the mixed bed; or it may result in excessive scrubbing, which not only exacerbates the mechanical wear of the resin but also wastes demineralized water, increasing operating costs.

[0004] Furthermore, during the regeneration process, there is a risk of resin leakage from the regeneration tank due to equipment defects (such as damage to the bottom water distribution plate or cap, damage to the central drain, valve malfunction, etc.) or improper operation (such as excessive backwash flow rate, excessive air scrubbing intensity, improper liquid level control, etc.). Currently, the regeneration system mainly relies on waste resin traps for simple mechanical interception, but these devices lack monitoring and alarm functions, making it impossible for operators to detect leaks in a timely manner. This not only causes economic losses but also affects the safe operation of the system.

[0005] Therefore, there is an urgent need in the field for a method and apparatus that can accurately determine the endpoint of resin scrubbing online and simultaneously monitor resin leakage. Summary of the Invention

[0006] The embodiments disclosed herein aim to at least solve one of the technical problems existing in the prior art, and provide a method and apparatus for determining the endpoint of resin regeneration scrubbing and monitoring leakage.

[0007] The first aspect of this disclosure provides a method for determining the endpoint of resin regeneration scrubbing and for leak monitoring, comprising: In response to the regeneration system being in the backwash, air scrub, or conveying sequence, the particle size distribution data of particulate matter in the regeneration wastewater is obtained by an online laser particle size analyzer. Based on the particle size distribution data, the particle number concentration within the first particle size range is determined; The scrubbing endpoint is determined to be reached when the particle number concentration within the first particle size range decreases from its peak and remains below the first preset concentration for a first preset duration.

[0008] In some embodiments of this disclosure, the method further includes: Based on the particle size distribution data, the particle number concentration within the second particle size range is determined simultaneously. A resin leak is determined to have occurred if the number concentration of particulate matter within the second particle size range exceeds a second preset concentration and remains so for a second preset duration. Wherein, the lower limit of the second particle size range is greater than the upper limit of the first particle size range.

[0009] In some embodiments of this disclosure, the first particle size ranges from 1 μm to 50 μm, and the second particle size ranges from 500 μm to 800 μm.

[0010] In some embodiments of this disclosure, the method further includes: In response to the determination that the scrubbing end point has been reached, a control signal is output to stop the air scrubbing sequence; In response to the detection of resin leakage, an alarm signal is output.

[0011] In some embodiments of this disclosure, obtaining particulate matter size distribution data in recycled wastewater includes: Water samples are continuously extracted from the drain header of the regeneration system; The water sample was measured in real time using an online laser particle size analyzer to obtain the particle size distribution data.

[0012] In some embodiments of this disclosure, the sampling point of the drain header is located upstream of the waste resin trap.

[0013] The second aspect of this disclosure provides an apparatus for determining the endpoint of resin regeneration scrubbing and for monitoring leaks, comprising: The first processing module is used to acquire particulate matter size distribution data in the regeneration wastewater in response to the regeneration system being in the backwash, air scrub, or conveying sequence, and to determine the particulate matter number concentration within a first particle size range based on the particulate matter size distribution data. The second processing module is used to determine that the scrubbing endpoint has been reached based on the fact that the particle number concentration in the first particle size range decreases from the peak and remains below the first preset concentration for a first preset duration.

[0014] In some embodiments of this disclosure, The first processing module is also used to simultaneously determine the particle number concentration within the second particle size range based on the particle size distribution data; The second processing module is further configured to: determine that a resin leak has occurred based on the fact that the particle number concentration within the second particle size range exceeds a second preset concentration and continues for a second preset duration; Wherein, the lower limit of the second particle size range is greater than the upper limit of the first particle size range.

[0015] In some embodiments of this disclosure, the apparatus further includes: A control output module is used to output a control signal to stop the air wiping sequence in response to the determination that the wiping end point has been reached. The alarm output module is used to output an alarm signal in response to the determination that a resin leak has occurred.

[0016] In some embodiments of this disclosure, the apparatus further includes: A sampling unit is used to continuously extract water samples from the drain header of the regeneration system; The measurement unit, connected to the sampling unit, is used to measure the water sample in real time using an online laser particle size analyzer to obtain the particle size distribution data. The measurement unit is electrically connected to the first processing module.

[0017] According to the method and apparatus disclosed herein for determining the endpoint of resin regeneration scrubbing and monitoring leaks, firstly, particle size distribution data of all particulate matter in the regeneration wastewater is acquired using an online laser particle size analyzer. Then, based on the particle size distribution data, the concentration of particulate matter representing a first particle size range of pollutants is determined. When the number concentration of particulate matter representing the first particle size range of pollutants decreases from its peak value and remains below a first preset concentration for a first preset duration, the scrubbing endpoint is determined to have been reached. Based on the particle size distribution data, the concentration of particulate matter representing a second particle size range of granular resin is determined. When the number concentration of particulate matter representing the second particle size range of granular resin exceeds a second preset concentration and remains below that concentration for a second preset duration, resin leakage is determined to have occurred. By real-time monitoring of the concentration changes of particulate matter in the first and second particle size ranges in the regeneration wastewater, the scrubbing endpoint can be accurately determined, thereby improving the scrubbing effect and reducing demineralized water consumption. Simultaneously, it can effectively monitor leaks during the resin regeneration process, preventing resin loss. The method of this disclosure achieves fully automated online monitoring, providing key technical support for the intelligent and unmanned chemical monitoring of power plants. Furthermore, the optimized scrubbing process saves water, electricity, and compressed air consumption, reducing operating costs. The device disclosed herein has a simple structure, which can simplify system configuration. It can be directly installed on the drainage header of the existing system and is easy to modify and integrate into the power plant's control system. Attached Figure Description

[0018] Figure 1 This is a schematic flowchart of a method for determining the endpoint of resin regeneration scrubbing and monitoring leaks, provided in one embodiment of this disclosure. Figure 2 This is a schematic diagram of a device for determining the endpoint of resin regeneration scrubbing and monitoring leaks, provided in one embodiment of this disclosure.

[0019] The labels in the attached diagram are as follows: 10. Sampling unit; 20. Measurement unit; 30. First processing module; 40. Second processing module; 50. Control output module; 60. Alarm output module. Detailed Implementation

[0020] To enable those skilled in the art to better understand the technical solutions of this disclosure, the disclosure will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only for explaining this disclosure and are not intended to limit the disclosure. The described embodiments are some, but not all, of the embodiments of this disclosure. Based on the described embodiments of this disclosure, all other embodiments obtained by those skilled in the art without creative effort are within the protection scope of this disclosure.

[0021] like Figure 1 As shown, an embodiment of the first aspect of this disclosure provides a method for determining the endpoint of resin regeneration scrubbing and monitoring leaks, comprising: S100: In response to the regeneration system being in the backwash, air scrub, or conveying sequence, the particle size distribution data of particulate matter in the regeneration wastewater is obtained by an online laser particle size analyzer. S200: Based on the particle size distribution data, determine the particle number concentration within the first particle size range; S300: Based on the fact that the particle number concentration in the first particle size range decreases from the peak and remains below the first preset concentration for a first preset duration, it is determined that the scrubbing endpoint has been reached.

[0022] According to the method disclosed herein for determining the endpoint of resin regeneration scrubbing and monitoring leaks, firstly, particle size distribution data of all particulate matter in the regeneration wastewater is acquired. Then, the concentration of particulate matter representing a first particle size range of contaminants is determined based on the particle size distribution data. Finally, the scrubbing endpoint is determined by the fact that the number concentration of particulate matter representing the first particle size range of contaminants decreases from its peak and remains below a first preset concentration for a first preset duration after the decrease. By monitoring the real-time trend of the concentration change of particulate matter representing the first particle size range of contaminants in the regeneration wastewater, the scrubbing completion time can be determined in real time and accurately, thereby replacing the practice of relying on fixed procedures or manual experience. This prevents contaminant residue caused by insufficient scrubbing, which leads to low regeneration efficiency, while avoiding severe resin wear caused by excessive scrubbing, reducing waste of demineralized water, and improving regeneration efficiency and resin lifespan. The method disclosed herein achieves fully automated online monitoring, providing key technical support for the intelligent and unmanned chemical monitoring of power plants. At the same time, the optimized scrubbing process saves water, electricity, and compressed air consumption, reducing operating costs.

[0023] like Figure 1 As shown, the method for determining the endpoint of resin regeneration scrubbing and monitoring leaks includes the following steps: S100: In response to the regeneration system being in the backwash, air scrub, or conveying sequence, the particle size distribution data of particulate matter in the regeneration wastewater is obtained by an online laser particle size analyzer. The air scrubbing sequence refers to the stage in which the regeneration system, according to a preset program, opens the compressed air intake valve and the scrubbing drain valve to agitate and clean the resin. The backwashing sequence and the conveying sequence refer to the preset programs of the regeneration system. The particulate matter size distribution data reflects the size and quantity of solid particles contained in the wastewater.

[0024] Step S100 specifically includes: S110: Representative water samples are continuously extracted from the drain header of the regeneration system via sampling pumps and pipelines. Sampling points are preferably located on the drain header, upstream of the waste resin trap, to ensure that all particulate matter discharged from the regeneration tank, including contaminants and leaked resin, can be monitored.

[0025] S120: Transports the water sample to an online laser particle size analyzer, such as a laser diffraction or light scattering particle counter. This analyzer uses a laser to illuminate the water sample flowing through the measuring cell, and by detecting the scattering or diffraction signals of light by the particles, it analyzes and outputs data on the particle size distribution and concentration of particles in the water sample in real time.

[0026] S200: Based on the particle size distribution data, determine the particle number concentration within the first particle size range; The first particle size range corresponds to the characteristic particle size of contaminants washed off the resin surface. Based on extensive experimental and operational experience, the contaminants on the surface of the condensate polishing resin are mainly iron oxides, such as Fe2O3 and Fe3O4, and the particle size of the particles formed after being washed off is mainly concentrated between 1 μm and 50 μm. Therefore, in a typical embodiment of this disclosure, the first particle size range is set to 1 μm to 50 μm. The first processing module 30 receives real-time data from the particulate matter analyzer and continuously calculates the total particle count concentration within the first particle size range, in units of particles / 100 mL.

[0027] S300: Based on the fact that the particle number concentration in the first particle size range decreases from the peak and remains below the first preset concentration for a first preset duration, it is determined that the scrubbing endpoint has been reached.

[0028] During the scrubbing process, the concentration of particulate matter in the first particle size range will show a typical change pattern: initially, due to the large amount of pollutants being washed away, the concentration will rapidly rise to a peak; as the scrubbing continues, the amount of pollutants that can be washed away will gradually decrease, and the concentration will begin to show a monotonous downward trend.

[0029] The logic for determining when the scrubbing has reached its endpoint is as follows: when the concentration of particulate matter within the first particle size range has decreased from its peak value and remains below a first preset concentration for a continuous period of time, the contaminants can be considered to have been substantially removed, and the scrubbing has reached its endpoint. Specifically, the continuous period of time refers to a first preset duration or longer, where the first preset duration is 50-70 seconds, preferably 60 seconds, and the first preset concentration is 40-60 particles / 100mL, preferably 50 particles / 100mL.

[0030] In some embodiments of this disclosure, the method further includes the following steps: S600: In response to the determination that the wiping end point has been reached, output a control signal to stop the air wiping sequence; Step S600 follows step S300. Specifically, in response to the determination that the wiping endpoint has been reached, a switch signal or communication command is output to the PLC of the regeneration system. Based on this, the PLC automatically closes the compressed air inlet valve and the wiping drain valve, ending the wiping sequence, thereby achieving automatic and accurate determination of the wiping endpoint. At the same time, the "wiping complete" status is displayed on the system's touch screen.

[0031] In some embodiments of this disclosure, the method further includes: S400: Based on the particle size distribution data, simultaneously determine the particle number concentration within the second particle size range; Specifically, the second particle size range corresponds to the characteristic particle size of the resin particles themselves, and the lower limit of the second particle size range is greater than the upper limit of the first particle size range. The particle size of commonly used uniform cation exchange resins in power plants is approximately 650 μm, and the particle size of anion exchange resins is approximately 550 μm. Therefore, in a typical embodiment of this disclosure, the second particle size range is set to 500 μm to 800 μm to cover possible resin particles. The first processing module 30 simultaneously calculates the total particle count concentration within the second particle size range.

[0032] In this embodiment, steps S200 and S400 are not executed in any particular order and can be performed simultaneously. That is, based on the particle size distribution data, the particle number concentration in the first particle size range and the particle number concentration in the second particle size range are determined simultaneously to achieve simultaneous monitoring of data on whether the scrubbing is completed and whether the resin is leaking.

[0033] S500: Based on the fact that the number concentration of particulate matter within the second particle size range exceeds the second preset concentration and continues for the second preset duration, it is determined that a resin leak has occurred; During normal wiping and drainage, no intact resin particles should be discharged. Therefore, the particle concentration in the second particle size range should always be close to 0 or maintained at an extremely low background value, for example, <5 particles / 100mL. If the particle concentration in the second particle size range exceeds a second preset concentration value and continues for a second preset duration, a resin leak is immediately determined. Specifically, the second preset concentration is 1~10 particles / 100mL, preferably 5 particles / 100mL, and the second preset duration is 20~40s, preferably 30s.

[0034] In some embodiments of this disclosure, the method further includes: S700: In response to the determination of resin leakage, an alarm signal is output.

[0035] Step S700 follows step S500. Specifically, in response to the determination of a resin leak, the alarm output module 60 immediately triggers a high-priority alarm, such as illuminating the red alarm light on the device body, emitting a buzzer sound, and displaying a prominent alarm screen on the DCS operator station or local touchscreen via the communication interface, prompting operators to urgently check the regeneration tank and waste resin catcher. This allows operators to detect and handle the leak in its early stages, when the resin loss is still small, preventing the accident from escalating.

[0036] This embodiment includes two monitoring paths: one for monitoring whether wiping is complete (S100-S200-S300-S600), and the other for monitoring whether resin leakage has occurred (S100-S400-S500-S700). The two monitoring paths are performed simultaneously, without any order, allowing for simultaneous monitoring of both resin wiping completion and resin leakage. Compared to existing technologies that monitor wiping completion via turbidity and resin leakage via pressure sensing, this method can simultaneously monitor both wiping completion and resin leakage, thereby simplifying the monitoring process and improving monitoring efficiency.

[0037] The second aspect of this disclosure provides an apparatus for determining the endpoint of resin regeneration scrubbing and for monitoring leaks, comprising: The first processing module 30 is used to acquire particulate matter size distribution data in the regeneration wastewater in response to the regeneration system being in the backwash, air scrub, or conveying sequence, and to determine the particulate matter number concentration within a first particle size range based on the particulate matter size distribution data. The second processing module 40 is used to determine that the scrubbing endpoint has been reached based on the fact that the particle number concentration in the first particle size range decreases from the peak and remains below the first preset concentration for a first preset duration.

[0038] According to the apparatus for determining the endpoint of resin regeneration scrubbing and monitoring leaks disclosed herein, the first processing module 30 acquires the particle size distribution data of all particulate matter in the regeneration wastewater and determines the concentration of particulate matter representing a first particle size range of pollutants based on the particle size distribution data. Then, the second processing module 40 determines the endpoint of scrubbing based on the decrease in the number concentration of particulate matter representing the first particle size range of pollutants from its peak and its subsequent duration below a first preset concentration for a first preset time. By real-time monitoring of the changing trends of the particle concentrations representing the first particle size range of pollutants and the second particle size range of particulate resin in the regeneration wastewater, the scrubbing completion time can be determined accurately and in real time. Simultaneously, it can predict whether there is resin leakage during the regeneration process, thus replacing the practice of relying on fixed procedures or manual experience. This prevents pollutant residue caused by insufficient scrubbing, which leads to low regeneration efficiency, while avoiding resin wear caused by excessive scrubbing, reducing waste of demineralized water, and improving regeneration efficiency and resin lifespan. The apparatus of this disclosure achieves fully automated online monitoring, providing key technical support for the intelligent and unmanned chemical supervision of power plants. At the same time, the optimized scrubbing process saves water, electricity, and compressed air consumption, reducing operating costs.

[0039] In some embodiments of this disclosure, the apparatus further includes a sampling unit 10 and a measuring unit 20, wherein the sampling unit 10 is used to continuously extract water samples from the drain header of the regeneration system, and the measuring unit 20 is connected to the sampling unit 10. The measuring unit 20 is used to perform real-time measurement on the water samples extracted by the sampling unit 10 using an online laser particle size analyzer to obtain the particle size distribution data of the particulate matter.

[0040] Sampling unit 10 continuously extracts representative water samples from the drain header of the regeneration system via a sampling pump and piping. The sampling point is preferably located on the drain header, upstream of the waste resin trap, to ensure that all particulate matter discharged from the regeneration tank, including contaminants and leaked resin, can be monitored.

[0041] The measurement unit 20 performs measurements on the water sample using an online laser particle size analyzer, such as a laser diffraction or light scattering particle counter. Specifically, the analyzer uses a laser to illuminate the water sample flowing through the measurement cell, and by detecting the scattering or diffraction signals of light by the particles, it analyzes and outputs data on the particle size distribution and concentration of particles in the water sample in real time.

[0042] In response to the regeneration system being in a backwash, air scrubbering, or conveying sequence, the first processing module 30 is electrically connected to the acquisition and measurement unit 20. It acquires particle size distribution data of particulate matter in the water sample output by the measurement unit 20 and determines the number concentration of particulate matter within a first particle size range based on this data. The first particle size range corresponds to the characteristic particle size of contaminants scrubbed off the resin surface. Based on extensive experimental and operational experience, the contaminants on the surface of the condensate polishing resin are mainly iron oxides, such as Fe2O3 and Fe3O4, and the particle size formed after scrubbing and peeling is mainly concentrated between 1 μm and 50 μm. Therefore, in a typical embodiment of this disclosure, the first particle size range is set to 1 μm to 50 μm. The first processing module 30 receives real-time data from the particulate matter analyzer and continuously calculates the total number concentration of particulate matter within the first particle size range, in units of particles / 100 mL.

[0043] The first processing module 30 is electrically connected to the second processing module 40. The second processing module 40 considers the contaminants to have been substantially removed and the scrubbing process to have reached its endpoint when the particulate matter concentration within the first particle size range has decreased from its peak value and remained below a first preset concentration for a continuous period of time. Specifically, the continuous period of time refers to a first preset duration or longer, where the first preset duration is 50-70 seconds, preferably 60 seconds. The first preset concentration is 40-60 particles / 100mL, preferably 50 particles / 100mL.

[0044] In some embodiments of this disclosure, the device further includes a control output module 50, which is electrically connected to the second processing module 40. The control output module 50 outputs a control signal to stop the air wiping sequence in response to a determination that the wiping endpoint has been reached. In response to the second processing module 40's determination that the wiping endpoint has been reached, the control output module 50 outputs a switch signal or communication command to the PLC of the regeneration system. The PLC automatically closes the compressed air inlet valve and the wiping drain valve, ending the wiping sequence, thus achieving automatic and accurate determination of the wiping endpoint. Simultaneously, a "wiping complete" status is displayed on the system's touchscreen.

[0045] In some embodiments of this disclosure, the first processing module 30 further acquires particulate matter size distribution data in the regeneration wastewater in response to steps such as backwashing, air scrubbing, or conveying of the regeneration system. Based on the particulate matter size distribution data, the number concentration of particulate matter within a second particle size range is determined; specifically, the second particle size range corresponds to the characteristic particle size of the resin particles themselves, and the lower limit of the second particle size range is greater than the upper limit of the first particle size range. The particle size of commonly used uniform cation exchange resins in power plants is approximately 650 μm, and the particle size of anion exchange resins is approximately 550 μm. Therefore, in a typical embodiment of this disclosure, the second particle size range is set to 500 μm to 800 μm to cover possible resin particles. The first processing module 30 simultaneously calculates the total number concentration of particulate matter within the second particle size range. In some embodiments of this disclosure, the second processing module 40 further determines that a resin leak has occurred based on the fact that the number concentration of particulate matter within the second particle size range exceeds a second preset concentration and remains so for a second preset duration; wherein, the lower limit of the second particle size range is greater than the upper limit of the first particle size range. Specifically, during normal wiping and drainage, no intact resin particles should be discharged. Therefore, the particle concentration in the second particle size range should always be close to 0 or maintained at an extremely low background value, for example, <5 particles / 100mL. If the particle concentration in the second particle size range exceeds a second preset concentration value and continues for a second preset duration, a resin leak is immediately determined. Specifically, the second preset concentration is 1~10 particles / 100mL, preferably 5 particles / 100mL, and the second preset duration is 20~40s, preferably 30s.

[0046] In some embodiments of this disclosure, the device further includes an alarm output module 60, which is electrically connected to the second processing module 40. The alarm output module 60 outputs an alarm signal in response to a determination of resin leakage. Specifically, in response to a determination of resin leakage, the alarm output module 60 immediately triggers a high-priority alarm, such as illuminating the red alarm light on the device body, emitting a buzzer sound, and displaying a prominent alarm screen on the DCS operator station or local touchscreen via the communication interface, prompting operators to urgently check the regeneration tank and waste resin catcher. This allows operators to detect and handle the leak in its early stages, when the resin loss is still small, preventing the accident from escalating. Based on particulate matter size distribution data, the first processing module 30 can simultaneously determine the particulate matter number concentration within a first particle size range and the particulate matter number concentration within a second particle size range, thereby achieving simultaneous monitoring of both the scrubbing completion and resin leakage processes.

[0047] The second processing module 40 can determine whether wiping is complete and whether resin leakage has occurred based on the particle number concentration in the first particle size range and the particle number concentration in the second particle size range, so as to achieve simultaneous monitoring of both situations.

[0048] Compared to existing technologies that monitor whether wiping is complete by detecting turbidity and whether resin leakage is detected by pressure sensing, the device disclosed herein can simultaneously monitor both the completion of wiping and the resin leakage process, thereby simplifying the monitoring device and improving monitoring efficiency.

[0049] It is understood that the above embodiments are merely exemplary embodiments used to illustrate the principles of this disclosure, and this disclosure is not limited thereto. For those skilled in the art, various modifications and improvements can be made without departing from the spirit and substance of this disclosure, and these modifications and improvements are also considered to be within the scope of protection of this disclosure.

Claims

1. A method for determining the endpoint of resin regeneration scrubbing and monitoring leaks, characterized in that, include: In response to the resin regeneration system being in the backwashing, air scrubbing, or conveying sequence, the particle size distribution data of particulate matter in the regeneration wastewater is obtained by a laser particle size analyzer. Based on the particle size distribution data, the particle number concentration within the first particle size range is determined; The scrubbing endpoint is determined to be reached when the particle number concentration within the first particle size range decreases from its peak and remains below the first preset concentration for a first preset duration.

2. The method according to claim 1, characterized in that, The method further includes: Based on the particle size distribution data, the particle number concentration within the second particle size range is determined simultaneously. A resin leak is determined to have occurred if the number concentration of particulate matter within the second particle size range exceeds a second preset concentration and remains so for a second preset duration. Wherein, the lower limit of the second particle size range is greater than the upper limit of the first particle size range.

3. The method according to claim 2, characterized in that, The first particle size range is 1 μm to 50 μm, and the second particle size range is 500 μm to 800 μm.

4. The method according to claim 2, characterized in that, The method further includes: In response to the determination that the scrubbing end point has been reached, a control signal is output to stop the air scrubbing sequence; In response to the detection of resin leakage, an alarm signal is output.

5. The method according to any one of claims 1-4, characterized in that, The acquisition of particulate matter size distribution data in recycled wastewater includes: Water samples are continuously extracted from the drain header of the regeneration system; The water sample was measured in real time using an online laser particle size analyzer to obtain the particle size distribution data.

6. The method according to claim 5, characterized in that, The sampling point of the drainage header is located upstream of the waste resin trap.

7. A device for determining the endpoint of resin regeneration scrubbing and monitoring leaks, characterized in that, include: The first processing module is used to acquire particulate matter size distribution data in the regeneration wastewater in response to the regeneration system being in the backwash, air scrub, or conveying sequence, and to determine the particulate matter number concentration within a first particle size range based on the particulate matter size distribution data. The second processing module is used to determine that the scrubbing endpoint has been reached based on the fact that the particle number concentration in the first particle size range decreases from the peak and remains below the first preset concentration for a first preset duration.

8. The apparatus according to claim 7, characterized in that, The first processing module is also used to simultaneously determine the particle number concentration within the second particle size range based on the particle size distribution data; The second processing module is further configured to: determine that a resin leak has occurred based on the fact that the particle number concentration within the second particle size range exceeds a second preset concentration and continues for a second preset duration; Wherein, the lower limit of the second particle size range is greater than the upper limit of the first particle size range.

9. The apparatus according to claim 8, characterized in that, The device further includes: A control output module is used to output a control signal to stop the air wiping sequence in response to the determination that the wiping end point has been reached. The alarm output module is used to output an alarm signal in response to the determination that a resin leak has occurred.

10. The apparatus according to any one of claims 7-9, characterized in that, The device further includes: A sampling unit is used to continuously extract water samples from the drain header of the regeneration system; The measurement unit, connected to the sampling unit, is used to measure the water sample in real time using an online laser particle size analyzer to obtain the particle size distribution data. The measurement unit is electrically connected to the first processing module.

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