Monitoring and processing method for safety of water source at water intake of nuclear power plant

Abstract

The embodiment of the invention relates to the technical field of water intake methods, in particular to a nuclear power plant water intake water source safety monitoring and processing method, which comprises the following steps: S1, sequentially dividing a water area near a water intake into a processing area, a monitoring area and a prevention area from near to far according to the distance from the water intake, the treatment area is provided with a blocking net for blocking floating bodies in seawater; s2, monitoring whether abnormal floating bodies exist in the prevention area or not, the development trend of the floating bodies in the monitoring area and the state of the blocking net in the processing area; and S3, determining whether to process the blocking net or the floating body or not according to the monitoring result of the step S2. According to the embodiment of the invention, the water area near the water intake is divided into the prevention area, the monitoring area and the treatment area according to the distance from the water intake, and different objects in the three areas are monitored respectively, so that the monitoring difficulty of the objects in the different areas is reduced, and a floating body is prevented from severely blocking the blocking net and preventing the blocking net from being damaged.

Description

TECHNICAL FIELD

[0001] Embodiments of the present application relate to the technical field of water intake methods, and in particular to a method for monitoring and processing water source safety of a nuclear power plant water intake. BACKGROUND

[0002] The statements herein are merely provided to give a basic understanding of the present application and are not necessarily intended to constitute the prior art.

[0003] The cooling system of a nuclear power plant is a key part to ensure the safe and stable operation of the nuclear power plant, and the water intake is a supply facility for the cooling water of the cooling system of the nuclear power plant, which is crucial to the normal operation of the nuclear power plant. In the actual operation of the cooling system of the nuclear power plant, disaster-causing floating bodies such as floating garbage, sundries, zooplankton and phytoplankton are prone to be affected by natural factors such as water flow and wind wave and gather at the water intake, resulting in blockage of the water intake, poor water intake and damage to the water intake equipment, and further affecting the normal operation of the cooling system of the nuclear power plant. SUMMARY

[0004] In the following, a brief overview of the present application is given to provide a basic understanding of some aspects of the present application. It should be understood that this overview is not an exhaustive overview of the present application. It is not intended to identify key or important parts of the present application nor is it intended to limit the scope of the present application. Its purpose is merely to present some concepts in a simplified form as a prelude to the more detailed description of a later discussion.

[0005] Embodiments of the present application provide a method for monitoring and processing water source safety of a nuclear power plant water intake, the monitoring and processing method comprising: S1, dividing the water area near the water intake into a processing zone, a monitoring zone and a prevention zone in order from near to far from the water intake, wherein the processing zone is provided with a blocking net for intercepting floating bodies in seawater; S2, monitoring whether there is an abnormal floating body in the prevention zone, the development trend of the floating body in the monitoring zone and the state of the blocking net in the processing zone; S3, determining whether to process the blocking net or the floating body according to the monitoring result of step S2.

[0006] Embodiments of the present application divide the water area near the water intake into a prevention zone, a monitoring zone and a processing zone according to the distance from the water intake, and monitor different objects in the prevention zone, the monitoring zone and the processing zone respectively, which is conducive to reducing the monitoring difficulty of the objects in different zones, avoiding serious blockage of the blocking net by the floating bodies and avoiding damage to the blocking net, ensuring the water source safety of the nuclear power plant water intake and avoiding causing shutdown accidents of the cooling system of the nuclear power plant. BRIEF DESCRIPTION OF DRAWINGS

[0007] Other objects and advantages of the present application will be more fully apparent from the following description of embodiments of the present application taken in conjunction with the accompanying drawings.

[0008] Figure 1 Fig. 1 is a flow chart of a method for monitoring water source safety of a nuclear power plant intake according to an embodiment of the present application.

[0009] Figure 2 Fig. 2 is a schematic diagram showing the division of the water area near the intake into a treatment zone, a monitoring zone and a prevention zone according to the distance from the intake.

[0010] Legend of reference signs:

[0011] 10, treatment zone; 11, intake; 12, trash screen; 20, monitoring zone; 30, prevention zone.

[0012] It should be noted that the drawings are not necessarily drawn to scale, but are merely shown in a schematic manner to illustrate the concept. DETAILED DESCRIPTION

[0013] In the following, exemplary embodiments of the present application will be described with reference to the drawings. In the description, not all features of a practical embodiment are described in order to keep the description clear and concise. It should be appreciated, however, that in the development of any such actual embodiment numerous implementation-specific decisions must be made in order to achieve the developer's specific goals, such as compliance with system- and business-related constraints, which will vary from one implementation to another. Moreover, it should be appreciated that such a development effort might be complex and time-consuming, but would nevertheless be a routine undertaking for those of ordinary skill in the art having the benefit of this disclosure.

[0014] It should also be noted that, in the interests of clarity, not all of the detail of the equipment structures and / or processing steps that are closely related to the solution according to the present application are shown in the drawings, but other details that are less relevant to the present application are omitted.

[0015] In the related art, in view of the adverse effects of disaster-causing floating bodies on the normal operation of the cooling system of a nuclear power plant, a trash screen is usually arranged near the intake to intercept these disaster-causing floating bodies, and the trash screen is regularly cleaned to ensure that the water source can flow into the intake normally.

[0016] The inventors of the present application have found that in some cases, there will be a sudden appearance of gathering fish and shrimps, plant floating bodies, etc. in the water area near the intake, and these suddenly appearing floating bodies can cause the trash screen to be seriously blocked or even damaged, thereby causing a shutdown accident of the cooling system of the nuclear power plant.

[0017] Based on this, an embodiment of the present application provides a method for monitoring water source safety of a nuclear power plant intake.

[0018] As shown in Fig. 1, the method comprises the following steps. Figure 1 andFigure 2 As shown, Figure 1 Fig. 1 is a flow chart of a method for monitoring water source safety of a nuclear power plant intake according to an embodiment of the present application, Figure 2 Fig. 2 is a schematic diagram showing that the water area near the intake 11 is divided into a treatment area 10, a monitoring area 20 and a prevention area 30 according to the distance from the intake 11 from near to far.

[0019] The method for monitoring water source safety of the nuclear power plant intake 11 provided by the embodiments of the present application comprises: S1, dividing the water area near the intake 11 into the treatment area 10, the monitoring area 20 and the prevention area 30 according to the distance from the intake 11 from near to far, wherein the treatment area 10 is provided with a trash screen 12 for intercepting floating bodies in seawater; S2, monitoring whether there is an abnormal floating body in the prevention area 30, the development trend of the floating body in the monitoring area 20 and the state of the trash screen 12 in the treatment area 10; S3, determining whether to treat the trash screen 12 or the floating body according to the monitoring result of S20.

[0020] The embodiments of the present application divide the water area near the intake 11 into the prevention area 30, the monitoring area 20 and the treatment area 10 according to the distance from the intake 11, and monitor different objects in the prevention area 30, the monitoring area 20 and the treatment area 10 respectively, which is beneficial to reduce the monitoring difficulty of the objects in different areas, avoid that the floating body causes serious blockage of the trash screen 12 and avoid that the trash screen 12 is damaged, ensure the water source safety of the nuclear power plant intake 11 and avoid causing shutdown accidents of the cooling system of the nuclear power plant.

[0021] Specifically, the embodiments of the present application monitor whether there is an abnormal floating body in the prevention area 30 far away from the water intake 11, and determine whether to process the single floating body or the gathered floating body in the prevention area 30 according to the monitoring result, so as to facilitate the abnormal floating body that may cause potential danger to the trash rack 12 in the future to be processed in an area far away from the trash rack 12, thereby reducing the serious impact of the floating body in the prevention area 30 far away from the water intake 11 on the trash rack 12, and reducing the monitoring difficulty in the prevention area 30 since only the presence or absence of the abnormal floating body is monitored without predicting the development trend thereof. For the floating body that is not processed in the prevention area 30, after it enters the monitoring area 20, the embodiments of the present application monitor the development trend of the floating body, so that the floating body that may cause danger to the trash rack 12 in the future in the monitoring area 20 can be processed before it reaches the trash rack 12, thereby reducing the serious impact of the floating body in the monitoring area 20 close to the water intake 11 on the trash rack 12. Since the abnormal floating body has been processed in the prevention area 30, the number of floating bodies in the monitoring area 20 is greatly reduced, and the monitoring difficulty of the development trend of the floating body in the monitoring area 20 is reduced. The embodiments of the present application further monitor the state of the trash rack 12, which is conducive to timely processing of the trash rack 12. As can be seen, on the one hand, the embodiments of the present application effectively reduce the number of floating bodies entering the monitoring area 20 from the prevention area 30 and the number of floating bodies entering the processing area 10 from the monitoring area 20 through the monitoring of the prevention area 30 and the monitoring area 20, which is conducive to avoiding that the sudden floating body causes serious blockage and damage to the trash rack 12. On the other hand, the embodiments of the present application monitor the state of the trash rack 12 itself, which is conducive to processing the trash rack 12 before the trash rack 12 is damaged or seriously blocked, so that the trash rack 12 can continuously and effectively intercept the floating body, thereby ensuring the safety of the water source of the nuclear power plant water intake 11.

[0022] In some embodiments, the area of the processing area 10 is smaller than the area of the monitoring area 20, and the area of the monitoring area 20 is smaller than the area of the prevention area 30. Since the prevention area 30 only needs to monitor the presence or absence of the abnormal floating body, the monitoring accuracy of the prevention area 30 is lower than that of the processing area 10 and the monitoring area 20, that is, the monitoring cost of the prevention area 30 is lower, so that the area of the prevention area 30 can be set larger for large-scale monitoring.

[0023] In some embodiments, the range of the processing area 10 can be set to be within 100 m from the trash rack 12, the range of the monitoring area 20 can be set to be between 100 m-1 km (not including 100 m) from the trash rack 12, and the range of the prevention area 30 can be set to be between 1 km-5 km (not including 1 km) from the trash rack 12.

[0024] In some embodiments, in the step S2, the step of monitoring whether there is an abnormal floating object in the prevention area 30 comprises: obtaining the size of a single floating object or an aggregated floating object in the prevention area 30, and determining whether the single floating object or the aggregated floating object is an abnormal floating object according to the size of the single floating object or the aggregated floating object; the step S3 comprises: when it is determined that there is an abnormal floating object in the prevention area 30, processing the abnormal floating object in the prevention area 30 to avoid the abnormal floating object entering the monitoring area 20 and the processing area 10 and causing the damage or blockage of the trash rack 12.

[0025] In some embodiments, in the step S2, when the size of the single floating object or the aggregated floating object is greater than a preset value, it is determined that there is an abnormal floating object in the prevention area 30. It is easy to understand that the abnormal floating object with a larger size is easier to be processed than the dispersed small-size floating object, and thus when these abnormal floating objects appear in the prevention area 30, they are all processed without judging whether they will enter the monitoring area 20, so as to reduce the number of floating objects entering the monitoring area 20.

[0026] In some embodiments, in the step S2, the isolation forest model can be used to determine whether there is an abnormal floating object in the prevention area 30 according to the real-time monitoring data, which is beneficial to improve the accuracy of identifying the abnormal floating object in the prevention area 30.

[0027] In some embodiments, the abnormal floating object can be processed according to the type of the abnormal floating object by determining the type of the abnormal floating object.

[0028] In the step S2, the aggregated floating object comprises at least one of oil pollution, aggregated fish and shrimp, and plant floating object, and the single floating object comprises a large marine animal; in the step S3, the processing of the oil pollution and the plant floating object comprises salvaging them, and the processing of the aggregated fish and shrimp and the large marine animal comprises driving them to leave the prevention area 30 in a direction away from the monitoring area 20. In the embodiments of the present application, for the large marine animal, because of its large weight and high speed, if it collides with the trash rack 12, it may damage the trash rack 12, and thus it is driven to leave the prevention area 30 in a direction away from the monitoring area 20; for the aggregated fish and shrimp, they may cause the blockage of the trash rack 12 or directly pass through the trash rack 12 to enter the water intake 11 and cause the damage of the water intake equipment, and thus they are also driven to leave the prevention area 30 in a direction away from the monitoring area 20; for the oil pollution and the plant floating object, because they are aggregated together, they are easy to be salvaged, and thus they can be removed by salvaging. In the embodiments of the present application, the abnormal floating objects which are easy to be processed (salvaged or driven) are processed in the prevention area 30 to prevent the abnormal floating objects from entering the monitoring area 20, so as to reduce the number of floating objects entering the monitoring area 20 from the prevention area 30.

[0029] In some embodiments, the floating bodies in the prevention area 30 can be monitored in real time by using drones, radars, satellites, and buoys arranged on the water surface.

[0030] In some embodiments, in the step S2, the step of monitoring the development trend of the floating bodies in the monitoring area 20 comprises: S21, monitoring the real-time positions and environmental parameters of the floating bodies in the monitoring area 20, predicting the movement trajectories of the floating bodies in the monitoring area 20 according to the real-time positions and environmental parameters of the floating bodies, S22, predicting whether the floating bodies in the monitoring area 20 will gather and predicting the positions and times of the gathering of the floating bodies according to the predicted movement trajectories of the floating bodies. In the step S3, the step of processing the floating bodies comprises salvaging the floating bodies at the predicted positions and times of the gathering of the floating bodies. In such embodiments, by determining whether the floating bodies will gather and predicting the positions and times of the gathering of the floating bodies, the operators can be informed of the positions and times of the gathering of the floating bodies in advance, so that the operators can have sufficient time to rush to the scene and process at the predicted positions and times of the gathering of the floating bodies. In the embodiments of the present application, when predicting the movement trajectories of the floating bodies in the prediction area, the present application does not focus on whether the floating bodies will flow into the processing area 10, but focuses on whether the floating bodies will gather. Since the gathered floating bodies are easy to salvage and have a great impact on the trash screen 12, they can suddenly block the trash screen 12. Therefore, after predicting that the floating bodies will gather, the gathered floating bodies are processed by salvaging at the gathering positions, so as to reduce the number of floating bodies flowing from the monitoring area 20 into the processing area 10.

[0031] In some embodiments, the gathered floating bodies can be marine organisms, plant drifts, oil pollution, etc., such as fish schools, seaweed, etc.

[0032] In some embodiments, in the step S22, for the floating bodies of the agglomeration type (such as plant drifts such as seaweed), the volume of the floating bodies after agglomeration reaches 1 m 3 If the above condition is met, it is considered that the floating bodies gather. 2 If the above condition is met, it is considered that the floating bodies gather.

[0033] In some embodiments, the monitoring area 20 can be sonar scanned by a sonar device, and an overhead image of the monitoring area 20 can be obtained by a combination of a UAV, a radar, a satellite, and the like, so as to determine the volume and area of the floating body, and to determine whether the floating body is gathered. In some embodiments, the environmental parameters can include sea water flow rate, sea water flow direction, wave, wind direction, and wind speed. By monitoring the sea water flow rate, sea water flow direction, wave, wind direction, and wind speed of the monitoring area 20, the influence of the sea water flow rate, sea water flow direction, wave, wind direction, and wind speed of the monitoring area 20 on the movement trajectory of each floating body in the monitoring area 20 can be comprehensively considered, so as to improve the prediction accuracy of the movement trajectory of each floating body, and further improve the prediction accuracy of whether the floating body will be gathered, the position and time of the gathering of the floating body according to the movement trajectory.

[0034] In some embodiments, the environmental parameters can include wind direction, wind speed, and pH value, so as to comprehensively consider the influence of the wind direction, wind speed, and water pH value on the movement of the floating body, and improve the prediction accuracy of the floating body movement trajectory prediction model in a complex environment.

[0035] In some embodiments, in the S21 step, a floating body movement trajectory prediction model is established according to a plurality of groups of historical and same-period floating body positions, environmental parameters, and floating body movement trajectory data in the monitoring area 20; and the movement trajectory of the current floating body is predicted by using the floating body movement trajectory prediction model according to the real-time position and environmental parameters of the floating body in the current monitoring area 20.

[0036] In the embodiment, a plurality of groups of historical and same-period floating body positions, environmental parameters, and floating body movement trajectory data in the monitoring area 20 are taken as a data set to establish a floating body movement trajectory prediction model, so as to comprehensively consider the influence of the floating body position and environmental parameters in the same period on the floating body movement trajectory in the same period, improve the prediction accuracy of the prediction model, and further improve the accuracy and reliability of predicting the movement trajectory of the current floating body according to the real-time position and environmental parameters of the floating body in the current monitoring area 20.

[0037] For example, in each group of historical and same-period floating body positions, environmental parameters, and floating body movement trajectory data, the floating body position is the floating body position at the initial time t1 of a historical time period, which can be represented as (x0, y0); the environmental parameters are the environmental parameters at the initial time of the same time period, which can be represented as (parameter 1, parameter 2…); and the floating body movement trajectory data are a plurality of time points and the floating body positions corresponding to the plurality of time points in the same time period, which can include the floating body position (x1, y1) corresponding to the time t1, the floating body position (x2, y2) corresponding to the time t2, the floating body position (x3, y3) corresponding to the time t3, and so on. n n n t​​n for different time instants within the same time period.

[0038] In some embodiments, the step of establishing the floating body motion trajectory prediction model can include: constructing a long short-term memory network model, training the long short-term memory network model with a plurality of sets of historical co-period floating body position, environmental parameter, and floating body motion trajectory data as a parameter set, and obtaining the floating body motion trajectory prediction model.

[0039] The long short-term memory network model can extract the time sequence features of the input data to predict the motion trajectory of the floating body within a certain time period in the future. In this embodiment, the long short-term memory network model is constructed, and a plurality of sets of historical co-period floating body position, environmental parameter, and corresponding floating body motion trajectory data are used as a parameter set to train the long short-term memory network model, so that the model fully considers the time sequence features of the floating body position and the environmental parameter, learns the evolution pattern of the floating body behavior, and further improves the prediction accuracy of the floating body motion trajectory prediction model, thereby accurately predicting the motion trajectory of the floating body according to the prediction model.

[0040] For example, each set of historical co-period floating body position, environmental parameter, and floating body motion trajectory data can be used as a parameter set to train the long short-term memory network model; and then other sets of historical co-period floating body position, environmental parameter, and floating body motion trajectory data that are not used as a parameter set are used as a verification set to verify the trained long short-term memory network model.

[0041] In some embodiments, the step S22 can include: determining whether the plurality of floating bodies will gather within the same time period and the gathering position and area according to the predicted motion trajectory of each floating body by using an isolation forest model. In this embodiment, the motion trajectory of each floating body is input into the isolation forest model to accurately predict whether the plurality of floating bodies will gather within the same time period and the gathering position and area, thereby facilitating the operator to take corresponding preventive measures in advance according to the prediction result, timely deploy to process the gathered floating bodies, and further ensure the safe and stable operation of the nuclear power plant cooling system.

[0042] In some embodiments, in the S3 step, it can be determined whether to process the floating objects according to the position where the floating objects are predicted to gather. In some embodiments, if the position where the floating objects are predicted to gather is located in the monitoring area 20 and the prevention area 30, the gathered floating objects are processed; otherwise, the gathered floating objects are not processed. When the floating objects are predicted to gather in the monitoring area 20 and the prevention area 30, these floating objects have potential risks to the trash rack and the water intake 11, and it is convenient for the operator to take preventive measures in advance to process the floating objects to avoid affecting the water source safety of the water intake 11. In some embodiments, if the position where the floating objects are predicted to gather is located in the processing area 10, at this time, the position where the floating objects gather is close to the trash rack, and the floating objects are processed after being intercepted by the trash rack 12, which is more conducive to improving the processing efficiency.

[0043] In some embodiments, if the position where the floating objects are predicted to gather is located at a position farther away from the water intake 11 than the prevention area 30, the floating objects have no potential risks to the trash rack and the water intake, and thus do not need to be processed.

[0044] In some embodiments, the step of processing the predicted gathered floating objects can include salvaging the floating objects at the position and time where the floating objects are predicted to gather, to avoid the floating objects from further gathering and moving to the water area near the water intake 11, and to eliminate the threat of the gathered floating objects to the water source safety of the water intake 11.

[0045] In some embodiments, different salvaging tools can be used according to the area where the floating objects are predicted to gather. In this embodiment, by ensuring the pertinence of the salvaging tools to the salvaging objects, the salvaging efficiency and the salvaging cost are comprehensively considered, the salvaging efficiency is improved when the area of the floating objects is large, so that the floating objects are processed in time before they further move to the water area near the water intake 11, and the floating objects are avoided from gathering again due to omission.

[0046] For example, when the area where the floating objects are predicted to gather is greater than 100 m 2 - 1000 m 2 , an underwater robot or manual salvaging can be used; when the area where the floating objects are predicted to gather is greater than 1000 m 2 , a sea salvaging ship can be used.

[0047] In some embodiments, in the S21 step, when predicting whether the floating objects will gather and predicting the position and time where the floating objects gather according to the movement trajectories of the floating objects, the movement trajectories of the floating objects predicted can be visualized, which is conducive to more intuitively knowing the dynamic changes of the positions of the floating objects, and thus further improving the accuracy of predicting whether the floating objects will gather and the position and time where the floating objects gather.

[0048] In some embodiments, in step S21, the real-time positions of the floating bodies in the monitoring area 20 are monitored by radar and satellite monitoring; the buoys are arranged in the monitoring area 20, and the buoys are arranged with measuring devices for acquiring environmental parameters; wherein, according to historical data, the position range where the floating bodies are likely to gather is determined, and the density of the buoys arranged in the position range is greater than the density of the buoys arranged in other areas.

[0049] In the present embodiment, the real-time positions of the floating bodies in the monitoring area 20 are monitored by radar and satellite monitoring, and the buoys are arranged in the vicinity of the monitoring area 20, and the buoys are arranged with measuring devices for acquiring environmental parameters, so as to realize direct acquisition of the environmental parameters and the floating body information in the monitoring area 20 through the buoys. Since the position range where the floating bodies are likely to gather can be determined according to historical data, the probability of gathering of the floating bodies in the position range is higher than that in other position ranges, and by arranging the buoys more densely, the state and behavior of the floating bodies can be monitored more comprehensively and in real time, thereby improving the accuracy of subsequent prediction of whether the floating bodies will gather, and the position and time of gathering.

[0050] In some embodiments, the wind direction and wind speed in the monitoring area 20 can be monitored in real time by using unmanned aerial vehicles and / or radar and buoys arranged on the water surface.

[0051] In some embodiments, the pH value of the seawater in the monitoring area 20 can be monitored in real time by using a water quality sensor.

[0052] In some embodiments, in the step S2, the step of monitoring the state of the trash screen 12 in the treatment area 10 comprises: S23, monitoring the current hydrological parameters in the treatment area 10 and the current state of the trash screen 12; S24, predicting the state of the trash screen 12 in the future preset time according to the current hydrological parameters and the current state of the trash screen 12; in the step S3, the step of processing the trash screen 12 comprises: determining whether to process the trash screen 12 according to the predicted state of the trash screen 12 in the future preset time. In the embodiments of the present application, by combining the current hydrological parameters in the treatment area 10 and the current state of the trash screen 12, the force of the hydrological parameters in the treatment area 10 on the trash screen 12 is considered, which is beneficial to improve the accuracy of the prediction of the state of the trash screen 12 in the future preset time. In the embodiments of the present application, since the gathered floating bodies or large-size single floating bodies are processed in the monitoring area 20 and the prevention area 30 respectively, the number of floating bodies entering the treatment area 10 is greatly reduced. These scattered floating bodies entering the treatment area 10 do not need to be fished again, but are processed after being attached to the trash screen 12. Since only a small amount of floating bodies enter the treatment area 10, these floating bodies will not have a serious impact on the trash screen 12 in a short time, so that the future state of the trash screen 12 is predicted to provide sufficient time for the operator to go to the scene to process the trash screen 12 accordingly.

[0053] In some embodiments, the hydrological parameters of the treatment area 10 include flow rate, wave, water level; the state of the trash screen 12 includes tension of the trash screen 12, displacement, damage of the trash screen 12, blockage, distribution of attached objects. In the embodiments of the present application, by monitoring the flow rate, wave, water level of the treatment area 10, the impact of the flow rate, wave, water pressure of the treatment area 10 on the trash screen 12 is comprehensively considered, thereby further improving the accuracy of the prediction of the state of the trash screen 12 in the future preset time. At the same time, by monitoring the tension, displacement of the trash screen 12, damage of the trash screen 12, blockage, distribution of attached objects, the structural state of the trash screen 12 and the interception effect of the trash screen 12 on floating bodies can be comprehensively reflected, and then whether the trash screen 12 needs to be processed is determined according to the interception effect of the trash screen 12, so as to ensure the structural integrity and interception effectiveness of the trash screen 12.

[0054] In some embodiments, the flow rate of the treatment area 10 can be monitored by using an acoustic Doppler current profiler. The acoustic Doppler current profiler has the advantages of high measurement accuracy, fast response speed and multi-directional flow rate measurement, can monitor the flow rate, direction and other parameters of the treatment area 10 at different depths in real time and accurately, and then provides data support for analyzing the impact of the flow rate on the trash screen 12.

[0055] In some embodiments, an electromagnetic current meter can be used to obtain flow rate data of the treatment area 10. The electromagnetic current meter has small water flow disturbance and can be installed at a suitable position near the trash rack 12 to monitor the water flow rate changes for a long time.

[0056] In some embodiments, a wave sensor can be used to monitor the waves of the treatment area 10. The wave sensor has the advantages of high measurement accuracy, stable data transmission, and long-term unattended operation, and can monitor the wave conditions of the sea area where the trash rack is located in real time and stably, thereby providing data support for analyzing the impact of waves on the trash rack 12.

[0057] In some embodiments, the wave sensor can be arranged on the buoy of the treatment area 10.

[0058] In some embodiments, a laser radar wave measurement system can be used to obtain wave data of the treatment area 10. The laser radar wave measurement system emits a laser beam and receives its reflection signal on the sea surface, thereby inverting the shape and parameters of the sea surface wave according to the information of signal delay and intensity change.

[0059] In some embodiments, a pressure type water level gauge can be used to monitor the water level of the treatment area 10. The pressure type water level gauge has the advantages of simple structure, low cost, high measurement accuracy, and real-time monitoring of water level changes, and can provide data support for analyzing the impact of water level on the trash rack 12 by monitoring the water level changes of the treatment area 10 in real time.

[0060] In some embodiments, an ultrasonic water level gauge can be used to obtain water level data of the treatment area 10. The ultrasonic water level gauge emits an ultrasonic pulse and receives the reflected echo, thereby calculating the water level height according to the propagation time and speed of the ultrasonic wave. In some embodiments, the ultrasonic water level gauge can be installed on a fixed structure above or near the trash rack 12.

[0061] In some embodiments, a tension sensor and / or a strain gauge type force measuring device can be used to monitor the tension of the trash rack 12. Specifically, the tension sensor can be arranged at the main rope, wire, etc. of the trash rack 12, thereby more accurately monitoring the tension of the main rope, wire, etc. of the trash rack 12 under the action of water flow, waves, and water level in real time; the strain gauge of the strain gauge type force measuring device can be arranged on the structural member of the trash rack 12, and when the structural member is deformed under stress, the strain gauge generates strain, and the tension of the structural member is calculated by measuring the resistance change of the strain gauge. The strain gauge type force measuring device can realize real-time monitoring of the local stress of the trash rack 12, which helps to understand the stress distribution of the trash rack 12 under different working conditions, thereby monitoring the stress of the structural member of the trash rack 12 under the action of water flow, waves, and water level in real time.

[0062] For example, the tension sensor can be a plate ring tension sensor, which can be arranged at the near-shore end of the main rope of each section of the trash screen 12 to obtain the real-time force value of each section of the trash screen 12.

[0063] In some embodiments, the displacement of the trash screen 12 can be measured by using a GPS positioning system. The GPS positioning system realizes real-time monitoring and analysis of the position coordinates of the trash screen 12 by receiving satellite signals, and thus understands the displacement of the trash screen 12 under the action of water flow, waves, etc.

[0064] In some embodiments, the GPS receiver of the GPS positioning system can be installed at the float or the main rope and the halyard of the trash screen 12 to obtain the current position coordinates of the trash screen 12.

[0065] In some embodiments, the displacement of the trash screen 12 can be measured by using an image acquisition device. The image acquisition device realizes real-time shooting and image acquisition of the appearance of the trash screen 12, and monitors and analyzes the marine biological attachment amount, the floating object accumulation state, and the displacement and deformation of the trash screen by using image processing technology.

[0066] In some embodiments, the image acquisition device can be a camera or a video camera, which can be installed near the trash screen 12.

[0067] In some embodiments, the damage, blockage, and attachment distribution of the trash screen 12 can be monitored by using a sonar monitoring system. The sonar monitoring system detects the damage, mesh blockage, attachment growth, and whether there are foreign matters entangled under the trash screen 12 by scanning the sonar of the trash screen 12 and its surrounding environment, so as to realize real-time monitoring of the damage, blockage, and attachment distribution of the trash screen 12.

[0068] In some embodiments, the blockage rate of the trash screen 12 can be determined according to the sonar and the water flow velocity.

[0069] In some embodiments, the step S24 comprises: constructing a trash screen state prediction model according to the historical hydrological parameters of the treatment area 10 and the historical state of the trash screen 12, and predicting the state of the trash screen 12 in a future preset time period by using the trash screen state prediction model according to the current hydrological parameters of the treatment area 10 and the current state of the trash screen 12. In the embodiments of the present application, the trash screen state prediction model is constructed according to the historical hydrological parameters of the treatment area 10 and the historical state of the trash screen 12, so as to comprehensively consider the influence of the hydrological parameters near the trash screen 12 on the state of the trash screen 12, improve the prediction accuracy of the prediction model, and thus improve the accuracy and reliability of the state prediction of the trash screen 12 in the future preset time period.

[0070] In some embodiments, the step S24 further comprises: S241, constructing a hybrid model of the convolutional neural network and the long short-term memory network; S242, training the hybrid model with the hydrological parameters of the treatment area 10 and the corresponding state of the trash screen 12 in the historical same period as the parameter set to form the trash screen state prediction model, and making the hybrid model output the state of the trash screen 12 in the future preset time period.

[0071] The convolutional neural network can automatically extract the spatial features of the input data to obtain the state of the trash screen 12 at different positions and the hydrological parameters of the treatment area 10 at different positions. The long short-term memory network can extract the time sequence features of the input data to predict the state of the trash screen 12 and the hydrological parameters of the treatment area 10 in the future preset time period. By constructing a hybrid model of the convolutional neural network and the long short-term memory network, the spatial features are processed by the convolutional neural network branch to make up for the deficiency of the long short-term memory network in spatial feature extraction, and the time sequence features are processed by the long short-term memory network branch to make up for the limitation of the convolutional neural network in time sequence prediction. Finally, the extracted spatial features and time sequence features are spliced and jointly analyzed to enhance the robustness of the hybrid model of the convolutional neural network and the long short-term memory network, thereby improving the accuracy of the hybrid model in predicting the state of the trash screen 12 in the future preset time period. In addition, the hydrological parameters of the treatment area 10 and the corresponding state of the trash screen 12 in the historical same period are used as the parameter set to train the hybrid model, so that the model fully considers the seasonal regularity of the hydrological parameters near the trash screen 12, further improves the prediction accuracy of the trash screen state prediction model, and thus can accurately predict the state of the trash screen 12 in the future preset time period according to the prediction model.

[0072] In some embodiments, the sampling frequency of the tension, wave, and displacement sequence of the trash screen 12 can be set to obtain the tension, wave, and displacement sequence of the trash screen 12 in the past preset time, and the tension, wave, and displacement sequence of the trash screen 12 in the past preset time are added to the parameter set to train the hybrid model of the convolutional neural network and the long short-term memory network to obtain the tension trend, wave impact energy curve, and displacement trend of the trash screen 12 in the future preset time period. For example, the future preset time period can be set to 1 hour, the past preset time period can be set to 2 hours, and the sampling frequency can be set to 5 minutes.

[0073] In some embodiments, a simplified form of the Navier-Stokes equation can be embedded in the loss function of the hybrid model of the convolutional neural network and the long short-term memory network to constrain the flow velocity field output by the convolutional neural network to comply with the fluid dynamics law, avoid non-physical prediction of the pure data-driven model, and thus help improve the prediction reliability, physical consistency, and robustness of the hybrid model in a data sparse scenario. For example, the data sparse scenario can be a nonlinear wave caused by a typhoon. For example, the simplified form of the Navier-Stokes equation can be the fluid continuity equation.

[0074] In some embodiments, the long short-term memory network can set weights, and the closer the data to the current period, the greater the weight, so that the long short-term memory network is more sensitive to the data of the recent period, thereby improving the prediction accuracy of the long short-term memory network.

[0075] In some embodiments, in the S22 step, the parameter set is divided into a training set, a validation set, and a test set. Specifically, the hybrid model is trained using the training set, and the trained hybrid model is verified using the validation set to form a trash rack state prediction model. For example, the training set, the validation set, and the test set can be divided in the ratio of 7:2:1.

[0076] In some embodiments, the hybrid model training is completed when the weighted loss function is minimized. In some embodiments, the weighted loss function can be composed of a mean square error and a physical constraint loss term.

[0077] In some embodiments, the hybrid model verification is completed when the monitoring indicators meet the predetermined requirements. In some embodiments, the monitoring indicators can include accuracy, F1 value of abnormal classification, and mean absolute error. The predetermined requirements can be determined by those skilled in the art according to monitoring needs and experience.

[0078] In some preferred embodiments, when the performance of the validation set does not improve for 5 consecutive rounds, an early stopping strategy is triggered to terminate the training of the hybrid model in advance, reduce the training time of the hybrid model, and prevent overfitting of the hybrid model.

[0079] In some embodiments, the S2 step further includes: S23, every preset time, input the hydrological parameters of the new treatment area 10 and the state of the trash rack 12 into the hybrid model to update the hybrid model. In the embodiments of the present application, the hydrological parameters of the new treatment area 10 and the state of the trash rack 12 are input into the hybrid model every preset time, so that the hybrid model is continuously updated, and the accuracy of the prediction of the hybrid model is further improved. In some embodiments, the preset time can be 1 day, that is, new data (such as abnormal tension records during a typhoon) is added to the training set every day.

[0080] In some embodiments, in the step S2, each year is divided into multiple time periods, for each time period, the hydrological parameters of the treatment area 10 and the state of the trash screen 12 in the corresponding historical period are respectively taken as a parameter set to train the hybrid model to obtain a hybrid model corresponding to the different time periods; the corresponding time period of the current period is determined to use the corresponding hybrid model to predict the state of the trash screen 12 in the future preset time period.

[0081] In such embodiments, each time period of the year corresponds to a hybrid model respectively, and when predicting, the corresponding hybrid model is selected according to the time period in which the current period is located.

[0082] Since the hydrological parameters of the water area have seasonal regularity, the hydrological parameters of the treatment area 10 and the state of the trash screen 12 in the same time period of each year are more similar. In the embodiments of the present application, each year is divided into multiple time periods, and the hydrological parameters of the treatment area 10 and the state of the trash screen 12 in the corresponding historical period of the time period are respectively taken as a parameter set to train the hybrid model, which is beneficial to improve the prediction effect of the hybrid model in the time period.

[0083] In some embodiments, each year can be divided into multiple time periods according to months or seasons. For example, 1-3 months can be divided into one time period, 4-6 months can be divided into one time period, 7-9 months can be divided into one time period, and 10-12 months can be divided into one time period. For example, the hydrological parameters of the treatment area 10 and the state of the trash screen 12 measured in February can be input into the hybrid model corresponding to the time period of 1-3 months for prediction.

[0084] In some embodiments, in the step S2, for the initial stage of any time period, the hydrological parameters of the treatment area 10 and the state of the trash screen 12 in the corresponding historical period and the end stage of the previous time period are taken as a parameter set to train the hybrid model to obtain a hybrid model corresponding to the initial stage of any time period; when the current period is in the initial stage of any time period, the hybrid model corresponding to the initial stage is used to predict the state of the trash screen 12 in the future preset time period. In such embodiments, it is helpful to improve the prediction accuracy of the state of the trash screen 12 in the future preset time period for the initial stage of the trash screen.

[0085] For example, when the first time period is 1-3 months and the second time period is 4-6 months, April is the initial stage of the second time period and March is the end stage of the first time period; the hybrid model can be trained by taking the historical data of April and the historical data of March as a parameter set, thereby obtaining a hybrid model corresponding to the initial stage of the second time period. For the data detected in April, the hybrid model of the initial stage of the second time period is used to predict the state of the trash screen 12 in the future preset time period.

[0086] In some embodiments, the parameter set of the mixed model can be automatically switched according to seasonal changes to take into account seasonal regularities of hydrological parameters of the treatment area 10, such as low water temperature in winter, high occurrence of marine organisms in summer, etc.

[0087] In some embodiments, the treatment of the trash screen 12 includes replacing the trash screen 12 and dredging the trash screen 12, specifically, when the trash screen 12 is damaged, the trash screen 12 is replaced; when the trash screen 12 is blocked, the trash screen 12 is dredged by cleaning the blockage on the trash screen 12 to ensure that the water flow can pass through the trash screen 12 smoothly.

[0088] In some embodiments, the step of treating the trash screen 12 in S3 includes determining an early warning level according to the predicted state of the trash screen 12 in a future predetermined time period, and performing different treatments for different early warning levels to avoid over-response to low early warning levels and insufficient response to high early warning levels, and to ensure timely and appropriate treatment of the trash screen 12.

[0089] In some embodiments, the step of treating the trash screen 12 in S3 includes: when the predicted tension fluctuation of the trash screen 12 in a future predetermined time period exceeds a threshold percentage for a predetermined duration, a first level of early warning is initiated, and an image acquisition device is used to detect whether there is a floating body impacting the trash screen 12; when the predicted marine organism attachment rate of the trash screen 12 in a future predetermined time period exceeds a predetermined rate, or the stress of the trash screen 12 exceeds a threshold, or the flow rate of the sea wave exceeds a threshold, or the image acquisition device detects that there is a floating body impacting the trash screen, a second level of early warning is initiated, and an underwater robot is used to clean and / or adjust the shunt ratio of the shunt device; when the predicted tension of the trash screen 12 in a future predetermined time period exceeds the material limit, a third level of early warning is initiated, the trash screen 12 is retracted, and a backup water source is started.

[0090] In the embodiments of the present application, the severity of the state of the trash screen 12 in the future preset time period is divided into a first warning, a second warning and a third warning from light to heavy according to the prediction. When the tension fluctuation of the trash screen 12 exceeds the threshold value by a predetermined percentage and lasts for a predetermined length of time, the first warning is started, at which time the tension of the trash screen 12 usually changes significantly, and whether there is a floating body (such as fish hitting the trash screen) impacting the trash screen 12 can be remotely detected by the image acquisition device, thereby reducing the operation and maintenance cost. When one of the four conditions of the marine organism attachment rate of the trash screen 12 exceeding the preset rate, the stress of the trash screen 12 exceeding the limit, the flow rate of the sea wave exceeding the threshold value, and the existence of the floating body impacting the trash screen 12 detected by the image acquisition device occurs, the second warning is started, at which time the trash screen is cleaned by the underwater robot to avoid damage to the trash screen; and / or the impact of the sea wave and the floating body on the trash screen 12 can also be reduced by adjusting the shunting ratio of the shunting device arranged upstream of the trash screen 12 to avoid further deterioration of the state of the trash screen 12. When the predicted tension of the trash screen 12 exceeds the material limit in the future preset time period (the trash screen 12 may be broken), the third warning is started, at which time the trash screen 12 is retracted, the standby water source is started, and the standby water source directly provides a cold source to the water intake of the nuclear power plant, effectively avoiding the situation that the floating body blocks the water intake due to the failure to process the trash screen 12, thereby ensuring the smooth operation of the cooling system of the nuclear power plant in this case.

[0091] In some embodiments, the first warning is started when the tension fluctuation of the trash screen 12 exceeds 10% of the threshold value and lasts for 10 minutes.

[0092] In some embodiments, the floating body can be marine organisms, plant drifts, oil pollution, etc., such as fish schools, etc.

[0093] In some embodiments, the stress limit of the trash screen 12 refers to the stress of the trash screen 12 exceeding the fixed limit value of the material internal stress. The predicted tension value can be input into a finite element mechanics model to simulate the stress distribution of the trash screen 12, and if the local stress exceeds the material yield strength (such as the material yield strength of 316L stainless steel is 250 MPa), the second warning is triggered.

[0094] In some embodiments, in the S3 step: if the sensor shows abnormal tension, but the flow rate of the water area near the trash screen 12 is stable and the other data of the processing area 10 is normal, it is determined that the sensor is faulty, and the warning result is marked as a false warning, so as to avoid the false alarm of the warning caused by the failure of the tension measuring device, thereby continuously reducing the false alarm rate of the warning.

[0095] In some embodiments, in the S2 step, the floating bodies within the prevention zone 30 and the floating bodies within the monitoring zone 20, the barrier net 12 of the treatment zone 10 are monitored by the radar and the satellite; the floating bodies within the prevention zone 30 and the floating bodies within the monitoring zone 20, the barrier net 12 of the treatment zone 10 are patrolled by the unmanned aerial vehicle at the first time interval.

[0096] In the embodiments of the present application, the prevention zone 30, the monitoring zone 20 and the treatment zone 10 can be monitored by the radar and the satellite at the same time, so as to quickly obtain the presence or absence of the abnormal floating body within the prevention zone 30, the real-time position of the floating body within the monitoring zone 20 and the displacement of the barrier net 12 within the treatment zone 10, etc., so as to determine the abnormal floating body within the prevention zone 30 and predict the motion trajectory of the floating body within the monitoring zone 20 and the state of the barrier net 12 within the treatment zone 10.

[0097] In addition, since the unmanned aerial vehicle can be closer to the water surface than the satellite and the radar, more accurate data can be obtained, and the floating bodies within the prevention zone 30 and the floating bodies within the monitoring zone 20, the barrier net 12 of the treatment zone 10 are patrolled by the unmanned aerial vehicle at the first time interval, which is more conducive to improving the accuracy of the monitoring data.

[0098] In some embodiments, the radar is configured to scan the prevention zone 30, the monitoring zone 20 and the treatment zone 10 every 1 minute.

[0099] In some embodiments, the first time interval of the unmanned aerial vehicle can be 2 hours.

[0100] In some embodiments, the unmanned aerial vehicle can be equipped with a high-definition camera, an infrared thermal imager and a meteorological monitoring device, so as to use the high-definition camera to collect image information of the sea surface within the prevention zone 30, the monitoring zone 20 and the treatment zone 10 in real time, to determine the approximate distribution, type and quantity of the floating bodies, and to use the infrared thermal imager to monitor the abnormal floating body of the prevention zone 30.

[0101] In some embodiments, the position range of the prevention zone 30 where the abnormal floating body is likely to appear and the corresponding period thereof can be determined according to historical data; the unmanned aerial vehicle is used to patrol the determined position range at a second time interval within the determined period, wherein the second time interval is less than the first time interval. In such embodiments, the specific position range of the prevention zone 30 where the abnormal floating body appears and the corresponding specific period thereof are determined according to the historical data, so that the monitoring of the specific position range of the prevention zone 30 can be strengthened within the specific period, for example, the patrol interval of the unmanned aerial vehicle within the specific position range within the specific period is shortened, or the density of the floating body arranged within the specific position range within the specific period is increased.

[0102] For example, during the jellyfish outbreak period, the prevention area 30 often has a large number of jellyfish gathering. According to historical data, the jellyfish outbreak period and the gathering position in the prevention area 30 are determined, and personnel and material support work is done in advance. The time interval of the unmanned aerial vehicle in the gathering position during the period is shortened to find the abnormal floating body as soon as possible and drive the gathered jellyfish in time.

[0103] In some embodiments, in the S2 step, the buoys are arranged in the treatment area 10, the monitoring area 20 and the prevention area 30, and the buoys are arranged with measuring devices for acquiring environmental parameters; wherein the density of the buoys arranged in the treatment area 10 and / or the density of the buoys arranged in the determined position range during the above-mentioned period is greater than the density of the buoys arranged in other areas. The embodiments of the present application arrange buoys in the treatment area 10, the monitoring area 20 and the prevention area 30, and arrange measuring devices for acquiring environmental parameters and floating body information on the buoys, so as to realize direct acquisition of environmental parameters and floating body information in the treatment area 10, the monitoring area 20 and the prevention area 30 through the buoys. Since the abnormal floating body appears more frequently in the above-mentioned specific position range, by arranging the buoys more densely, the situation of the abnormal floating body in the prevention area 30 can be obtained more accurately and timely, so that the treatment can be carried out in time; by arranging the buoys more densely in the treatment area 10, the state of the trash rack 12 can be predicted more accurately.

[0104] Since the monitoring range of the buoy is small and the price is low, multiple buoys can be arranged in the treatment area 10, the monitoring area 20 and the prevention area 30, respectively.

[0105] In some embodiments, water quality sensors for acquiring seawater pH value can be arranged on the buoys in the treatment area 10 and the monitoring area 20 to monitor the seawater pH value in the treatment area 10 and the monitoring area 20 in real time.

[0106] In some embodiments, according to historical data, the months in which the frequency of the abnormal floating body appearing in the prevention area 30 is higher than that in other months of the year are determined, i.e. the frequency of the abnormal floating body appearing in the months is higher than that in other months of the year. In the months, the unmanned aerial vehicle is used to patrol at a third time interval smaller than the first time interval, so as to increase the number of patrols of the unmanned aerial vehicle in the specific months and further improve the response speed of the unmanned aerial vehicle to the abnormal floating body.

[0107] For the embodiments of the present application, it should also be noted that the embodiments of the present application and the features in the embodiments can be combined with each other to obtain new embodiments without conflict.

[0108] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto, and the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method for monitoring and processing water source safety at a nuclear power plant water intake, characterized in that: The monitoring and processing method includes: S1. Dividing the water area near the water intake into a treatment area, a monitoring area, and a prevention area in descending order of distance from the water intake, wherein the treatment area is provided with a net for intercepting floating objects in the seawater; S2. Monitoring the presence of abnormal floating bodies in the prevention area, the development trend of floating bodies in the monitoring area, and the status of the interception nets in the treatment area; S3. Determine whether to process the barrier net or the floating body according to the monitoring result of step S2.

2. The monitoring and processing method according to claim 1, characterized in that: In step S2, the step of monitoring the presence of abnormal floating bodies in the prevention area includes: obtaining the size of a single floating body or a collection of floating bodies in the prevention area, and determining whether the single floating body or the collection of floating bodies is an abnormal floating body according to the size of the single floating body or the collection of floating bodies; Step S3 includes: when it is determined that an abnormal floating body appears in the prevention area, processing the abnormal floating body in the prevention area to prevent the abnormal floating body from entering the monitoring area.

3. The monitoring and processing method according to claim 2, characterized in that: In step S2, the aggregated floating body includes at least one of oil pollution, aggregated fish and shrimp, and floating plants, and the single floating body includes a large marine animal; In step S3, the step of treating the oil pollution and the floating plant matter includes salvaging them; the step of treating the aggregated fish and shrimp and the large marine animals includes driving them away from the prevention area in a direction away from the monitoring area.

4. The monitoring and processing method according to claim 1, characterized in that: In step S2, the step of monitoring the development trend of the floating body in the monitoring area includes: monitoring the real-time positions and environmental parameters of floating bodies within the monitoring area, predicting the movement trajectories of the floating bodies within the monitoring area based on the real-time positions and environmental parameters of the floating bodies, and predicting whether the floating bodies within the monitoring area will aggregate based on the predicted movement trajectories of the floating bodies, and predicting the locations and times at which the floating bodies will aggregate; In step S3, the step of processing the floating body includes salvaging the floating body at the predicted location and time of accumulation of the floating body.

5. The monitoring and processing method according to claim 4, characterized in that: In step S2, a floating body motion trajectory prediction model is established based on multiple sets of historical floating body positions, environmental parameters, and floating body motion trajectory data within the monitoring area; The motion trajectory of the current floating body in the monitoring area is predicted using the floating body motion trajectory prediction model according to the real-time position and environmental parameters of the floating body in the monitoring area.

6. The monitoring and processing method according to claim 1, characterized in that: In step S2, the step of monitoring the status of the barrier in the treatment area includes: monitoring current hydrological parameters in the treatment area and the current status of the barrier, and predicting the status of the barrier within a preset time in the future based on the current hydrological parameters and the current status of the barrier; In step S3, the step of processing the block includes: determining whether to process the block according to the predicted state of the block within a preset time in the future.

7. The monitoring and processing method according to claim 6, characterized in that: The hydrological parameters of the treatment area include flow velocity, waves, and water level; The status of the barrier includes the tension, displacement, damage, blockage and distribution of attachments of the barrier.

8. The monitoring and processing method according to claim 1, characterized in that: Processing the net includes replacing the net and unblocking the net.

9. The monitoring and processing method according to any one of claims 1 to 8, characterized in that: In step S2, radar and satellite are used to monitor the floating body in the prevention area, the floating body in the monitoring area, and the barrier net in the treatment area; The floating body in the prevention area, the floating body in the monitoring area, and the barrier net in the treatment area are inspected by using a drone at a first time interval.

10. The monitoring and processing method according to claim 9, characterized in that: Determine the location range and corresponding period of possible abnormal floating objects in the prevention area based on historical data; The drone is used to perform inspections in the determined location range at second time intervals within a determined period, wherein the second time interval is shorter than the first time interval.

11. The monitoring and processing method according to claim 10, characterized in that: In step S2, buoys are arranged in the treatment area, the monitoring area, and the prevention area, wherein the buoys are provided with measuring elements for obtaining environmental parameters and floating body information; The density of the buoys arranged in the treatment area and / or the density of the buoys arranged in the corresponding position range during the determined period is greater than the density of the buoys arranged in other areas.

12. The monitoring and processing method according to claim 9, characterized in that: Determine the months each year in which abnormal floating bodies appear more frequently in the prevention area based on historical data; In the determined month, inspections are performed using a drone at a third time interval that is shorter than the first time interval.

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