41 results about "Marine pollution" patented technology

Along with increasingly important global marine resources, the problems of marine pollution, ecological damage, natural disasters and the like are increasingly severe, which proposes higher requirements for monitoring and managing the marine environment. A traditional marine monitoring method has a certain effect in practice, but the coverage range is limited, data acquisition is difficult, the processing efficiency is low, and comprehensive monitoring and timely response to a dynamic marine environment cannot be realized. In order to solve the problem, the invention provides the ocean multi-modal data processing method, device and equipment for ocean monitoring and the storage medium, the satellite remote sensing technology, the underwater sound telemetering technology, the buoy observation technology and the shipborne observation technology are integrated, and the advanced big data processing and heterogeneous data fusion method is combined, so that the multi-modal data processing of the ocean is realized. And efficiency is provided for comprehensive monitoring and early warning of the marine environment.

The invention relates to a marine pollution monitoring method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a regional map corresponding to each sewage draining exit, determining a residential area and an industrial area based on the regional map, determining an aquaculture area based on a marine area, and determining the inspection sequence of each sewage draining exit based on the three areas. The unmanned aerial vehicle is controlled to fly to the position above each sewage draining exit according to the inspection sequence to collect a first image of each sewage draining exit, the emission grade of each sewage draining exit is determined based on the inspection sequence and the first image, and the unmanned aerial vehicle is controlled to fly to the position above the ocean area corresponding to each sewage draining exit to obtain a second image, and determining a floating object pollution level of each sea area based on the second image, and determining a sampling priority of each sea area based on the emission level and the floating object pollution level. The sampling sequence of the sea area where each sewage draining exit is located is determined according to the specific conditions of the sewage draining exits and the areas where the sewage draining exits are located, and the severely polluted areas are found in time.

The invention discloses a real-time marine environment detection system and method. The system comprises a data acquisition module, a data preprocessing module, an anomaly judgment module and an anomaly analysis module, the data acquisition module is used for acquiring marine pollution data and marine environment data acquired by the sensor assembly in the target marine area in real time; the data preprocessing module is used for preprocessing the marine pollution data and the marine environment data; the abnormity judgment module is used for judging the preprocessed marine pollution data to obtain the types of pollutants existing in the target marine area; and the anomaly analysis module is used for performing analysis based on the pollutant type in combination with the marine environment data to obtain the current pollution degree of the target marine area. By integrating various sensor assemblies, data of various pollutants can be acquired at the same time, and comprehensive analysis and evaluation are performed through a data fusion technology, so that comprehensive and accurate evaluation of marine pollution is realized.

The invention discloses a marine pollution traceability big data analysis method based on a space-time diagram neural network, which is applied to the field of marine monitoring, and comprises the following steps: extracting seawater pollution diffusion characteristics according to periodic water quality data of a target sea area and a marine flow field spectrum, and processing the seawater pollution diffusion characteristics based on the diagram neural network, and reconstructing the pollution diffusion network through ocean surface remote sensing data, and adjusting nodes and edges of the pollution diffusion network according to a bidirectional propagation analysis result to obtain a target pollution diffusion network. According to the method, the diffusion path of pollutants can be simulated more accurately, so that the positioning precision of the pollution source is improved, the method better adapts to the actual marine pollution monitoring condition, and the reliability of the traceability result is improved.

The present invention discloses a method for analyzing ocean pollution source tracing big data based on a spatiotemporal graph neural network. The method is applied to the field of ocean monitoring. The method involves extracting seawater pollution diffusion characteristics based on periodic water quality data and ocean flow field maps of a target sea area, processing these seawater pollution diffusion characteristics based on a graph neural network, obtaining a pollution diffusion network for pollutants in the target sea area, and reconstructing the pollution diffusion network using ocean surface remote sensing data. The method then adjusts the nodes and edges of the pollution diffusion network based on the results of a two-way propagation analysis to obtain a target pollution diffusion network. The method can more accurately simulate the diffusion path of pollutants, thereby improving the accuracy of pollution source location, better adapting to actual marine pollution monitoring conditions, and enhancing the reliability of tracing results.

The invention discloses a pollutant diffusion simulation and evaluation method for marine environmental protection, which belongs to the technical field of marine pollutants, and comprises the following steps: configuring a pollutant model based on obtained multi-source data, and performing dynamic factor initialization, initial data such as ocean current velocity and direction, tide height and period, wind field intensity and direction, temperature, salinity and pH value are obtained, and a chemical reaction model is defined based on the initial data in combination with a pollutant characteristic matrix. Through fusion and dynamic modeling of multi-source data, simulation precision of a pollutant diffusion path is remarkably improved, dynamic change characteristics of a diffusion process are accurately captured, and comprehensive analysis of pollutant diffusion behaviors is realized by combining efficient initialization of dynamic factors and multi-dimensional analysis of physical and chemical conditions. And reliable technical support is provided for marine pollution monitoring and evaluation.

The invention discloses an oil spill rapid simulation method applied to a submarine pipeline oil leakage accident. The method comprises the following steps: firstly, adding a reading module for three-dimensional flow field data on the basis of a conventional ocean surface two-dimensional oil spill model; secondly, designing a stress driving algorithm of the sea surface wind field to oil particles at different water depth positions below the sea surface; thirdly, designing a floating speed algorithm of oil particles below the sea surface; fourthly, designing a sea surface vertical mixing layer height and vertical diffusion coefficient algorithm; and finally, driving a three-dimensional oil spill drifting and diffusing model to calculate in combination with flow field forecast data and wind field forecast data. According to the method, on the basis of a conventional two-dimensional oil spill model, a vertical physical change process of oil particles is added, and three-dimensional flow field data are loaded; simulation calculation of related physical processes such as floating, drifting and diffusion of oil particles in a three-dimensional water body space from the seabed to the sea surface is achieved, and reference values are provided for rapid simulation and emergency deduction decision making of petroleum pollutant leakage in marine pollution.

This application relates to an apparatus for tracking location using a control platform of a small buoy for simulating marine pollutants, in which at least one small observation buoy floats on the ocean, and a relay buoy collects location information from the observation buoy and provides the collected location information to a weather information management server. The apparatus may include at least one observation buoy and a relay buoy, the observation buoy including a GPS receiver which receives a signal transmitted from a GPS satellite and generate location information. The apparatus may also include a communicator performing wireless transmission and reception of signals with the relay buoy, and a power source providing driving power to the GPS receiver and the communicator. The relay buoy may receive location information from the at least one observation buoy and provide the received location information to a weather information management server.

A seaborne sewage disposal unmanned ship laying and recovery device comprises a shell structure of a laying cabin body, a hinge linkage framework structure and an automatic control module. The shell structure of the laying cabin body comprises a base, three-side shell fixing plates, a rail baffle and a cabin cover door. The hinge linkage framework structure comprises an unmanned ship bearing cabin, a bearing cabin supporting linkage mechanism and a sliding rail. The device self-control module comprises a lithium battery, a self-locking stepping motor, an STM32 single-chip microcomputer and a traction rope. The whole device has good mechanical stability, and it can be guaranteed that no structural problems and faults occur when unmanned ship laying and recycling work is conducted for many times. Full automation of the unmanned ship laying and recycling process is achieved, and the unmanned ship laying and recycling device has good adaptability to the offshore oil spill decontamination unmanned ship.

The method for tracing and monitoring marine pollution based on satellite remote sensing and unmanned aerial vehicles provided by this application relates to the technical field of marine pollution tracing and monitoring, and includes: configuring a pollution diffusion path prediction model and a data-driven model based on the range pollution data, precise pollution data, and deep-water data after multi-modal data fusion to obtain a pollution prediction result and pollution error data, performing hybrid-driven fusion based on the pollution prediction result and pollution error data, and tracing the initial source of pollutants to obtain pollution source tracing data. Through the preprocessing and fusion of multi-modal data, combined with range pollution data, precise pollution data, and deep-water data, the pollution diffusion path prediction model and the data-driven model are dynamically adjusted, thereby generating more accurate pollution prediction results and pollution error data. At the same time, through reverse diffusion simulation and pollution source tracing analysis, the efficiency of pollution source positioning and decision support is improved, providing accurate and decision-making basis for dealing with marine pollution incidents.

The present invention discloses a data management system and method for monitoring the marine environment using a buoy, and relates to the technical field of marine pollution control. The data management system for monitoring the marine environment using a buoy comprises a data acquisition module, a data analysis module, a repair and correction module, a difference calculation module and a repair and adjustment module. The technical key points are as follows: analyzing and processing marine data, water quality repair data and marine environmental data, clarifying the relationship between water quality and the ocean and the environment, and further processing to analyze the content of microorganisms in marine polluted water, and further combining with the pre-planning of marine biological restoration programs, it can help relevant technical personnel to adjust the content of microorganisms in time, so that the marine heavy pollution control is carried out according to the original plan, and the efficiency of marine control can be effectively improved. Moreover, the whole process does not require laboratory cooperation, the cost is relatively low, and it has good application prospects.

The invention discloses an offshore pollutant concentration prediction method and system based on a dual-channel multilayer perceptron, and relates to the technical field of marine pollutant monitoring. The method comprises the following steps: constructing a multi-dimensional training data set; performing key pollutant concentration screening processing on the training data set by utilizing a first multi-layer perceptron model in combination with a feature interpretation method; establishing a second multi-layer perceptron model based on a dual-channel multi-layer perceptron connected with a main channel residual error, and training the second multi-layer perceptron model by utilizing the screened key pollutant concentration; and predicting the offshore pollutant concentration by using the trained second multi-layer perceptron model. According to the invention, the accurate prediction of the pollutant concentration under the small sample condition can be realized, and the dependence on monitoring resources is reduced.

The invention relates to a construction method and application of a marine micro-plastic ecological risk assessment model based on a multilevel toxicity effect, and belongs to the technical field of ecological risk assessment of marine pollutants. According to the method, a toxicity end point sensitive to exposure of the microplastics is determined by screening research results of the microplastics on toxicity effects of marine organisms at different levels, and non-effect concentration is deduced and predicted by adopting a species sensitivity distribution model. The ecological risk of micro-plastic pollution in the marine water environment is determined according to the environmental concentration of the micro-plastic and the PNEC of the micro-plastic to marine organisms. According to the method, the ecological risk of the micro-plastics is evaluated from multiple levels, and the ecological risk of the micro-plastics to marine organisms can be pre-judged in advance. When it is detected that the microplastic with pathological damage, oxidative stress, metabolic toxicity and genotoxicity is in a high-risk state, intervention needs to be performed in advance to prevent the risk from being further expanded to affect individuals and populations of marine organisms.

A marine ship antifouling coating, including the following components in parts by weight: 40-60 parts of low surface energy fluorine-silicon modified epoxy resin; 10-30 parts of amino-modified nano titanium dioxide; 5-10 parts of amino-modified nano silicon dioxide; 5-15 parts of quaternary ammonium salt polymer capsules; 5-10 parts of organotin polymer microspheres; 1-5 parts of thiol-terminated hyperbranched macromolecules, low surface energy perfluoroalkyl and polysiloxane structures are introduced into the fluorine-silicon modified epoxy resin matrix, significantly reducing the coating surface energy, making it have excellent hydrophobicity and oleophobicity, and inhibiting the adhesion of marine pollutants. The introduction of amino-modified nano TiO2 and amino-modified SiO2 particles not only further reduces the surface energy, but also forms a micro-nano dual structure similar to the surface of a lotus leaf, blocking the contact between pollutants and the coating, and producing a physical antifouling effect; quaternary ammonium salt polymer capsules and organotin polymer microspheres can controllably release antibacterial agents and algaecides, respectively.

The invention belongs to the field of micro-fluidic chip processing and electrochemical detection, and discloses a high-precision low-cost flexible electrochemical detection chip processing method. The high-precision and low-cost electrochemical detection chip comprises a PET substrate layer, an ITO electrode layer and an Ag / AgCl reference electrode layer, an ITO film is coated with photosensitive blue oil and exposed to form an electrode pattern, a redundant ITO plating layer is etched after development, photoresist is removed, and a three-electrode chip is obtained. And depositing AgCl on the reference electrode by adopting electrochemical deposition. The electrochemical chip can be realized without expensive consumables and precision processing equipment, the conductivity of the electrochemical chip is far better than that of a traditional silk-screen printing electrochemical chip, the electrochemical chip is more stable during electrode modification, and batch processing of the electrochemical chip with the minimum size of 200 microns can be realized by adopting the processing method. After being modified, the electrochemical chip can be applied to the field of detection of heavy metal ions, radioactive ions and various marine pollutants in a marine environment.

The invention relates to the technical field of marine pollution discharge, and discloses a ship oily water treatment system. The system comprises a plurality of greasy dirt wells, an oily water cabin, an oily water treatment device and a control device, the greasy dirt water wells are respectively distributed in a plurality of areas of the ship; the oily water tank is connected with an oily water well; the oily water treatment device is connected with the oily water cabin and can operate under a first working condition and a second working condition; the control device is used for enabling the oily water treatment device to operate in a first working condition when the water body obtained by gravity coalescence separation meets a preset discharge condition, and enabling the oily water treatment device to operate in a second working condition when the water body obtained by gravity coalescence separation does not meet the preset discharge condition. According to the embodiment of the invention, the collection efficiency and treatment precision of the ship oily water can be improved.

Most of the conventional final treatment plants for sewage and polluted water exist at a position in contact with the ocean and discharge the sewage and polluted water into the sea after treatment, and the principle of the treatment is bacterial decomposition, which is a method using biodegradation by freshwater microorganisms. Although the contents of Escherichia coli and chemical substances are prescribed as numerical values by law, they are far from perfect including human errors. In recent years, the global environment has been emphasized, and marine pollution is an essential problem imposed on mankind.SOLUTION: To construct a technique for improving a final treatment plant of sewage or waste water in consideration of the environment, to verify the conventional biological decomposition theory of only bacteria, and to enable safe marine discharge by a technique requiring complete treatment in a land facility. To provide a technique and a means capable of greatly improving a complete decomposition treatment in which the natural environment of land and sea is built up by a land facility, by utilizing the ecology of organisms living in a fresh water area and a sea water area, providing a fresh water tank group and a sea water tank group, allowing a bacteria group and small organisms to coexist, utilizing the respective biological characteristics, and aiming at the advancement and completion of the present biodegradation.SELECTED DRAWING: Figure 1

The invention relates to the field of marine pollution detection, in particular to marine pollutant identification equipment applying laser-induced fluorescence and a working method thereof.The marine pollutant identification equipment comprises a laser emitter, a supporting device, a reflecting mirror arranged on the supporting device, a sample pool, an induction device, a spectrograph and a central computer; laser emitted by the laser emitter is refracted by the reflecting mirror and then enters the sample pool, a first angle deflection device for adjusting the deflection angle of the reflecting mirror is arranged on the supporting device, and a second angle deflection device for further deflecting the laser into the sensing device is arranged in the sample pool. And the laser filtered by the sensing device is input into the spectrograph through the optical fiber, and the result is displayed in the central computer, so that the technical problem of experiment failure caused by deflection of a light path in the operation process in the existing marine pollutant laser identification process is solved.

The application discloses a kind of based on deep learning's marine environment monitoring early warning method and system, it is related to marine environment monitoring early warning technical field;Including the following steps: comb multiple source historical monitoring data, execute prediction analysis, obtain the core feature standard set in preset period;Its technical key points are: the application realizes whole-process standardization, seamless link of each link, dynamic response, closed-loop management and control, and the effect that practicality greatly improves;Achieved to improve whole-process monitoring early warning efficiency, ensure each link accurate link, dynamically adapt pollution change, reduce pollution disposal cost, improve the overall ability of marine pollution prevention and control, while various technologies cooperate, significantly improve the efficiency of whole-process monitoring early warning, reduce each link link error, can dynamically respond to pollution change, greatly improve practicality and operability, comprehensively enhance the overall ability of marine pollution prevention and control, use effect is good, with good use prospect.

The application discloses a wave energy collection device based on a magnetic spring-leaf spring type bistable mechanism, comprising a bistable energy trapping device (1), a motion conversion device (2), an electromagnetic power generation device (3) and a power management module, wherein the bistable energy trapping device is provided with a magnetic spring-leaf spring type bistable mechanism, and through nonlinear interaction between magnets, efficient capture of mechanical energy under low-frequency waves is realized; the motion conversion device (2) is designed through a gear transmission system and a one-way bearing, so that one-way rotation of an output shaft is ensured; the electromagnetic power generation device (3) utilizes the relative rotation principle of a magnet flywheel and a coil, the magnetic flux of the coil changes, so that a voltage is generated, mechanical energy captured by the bistable energy trapping device (1) is converted into electric energy, and simultaneously, the power management module is responsible for rectification, storage and distribution of the electric energy, so that stable power supply can be obtained under any condition. The system has wide application prospects and important economic value in the fields of marine ecosystem monitoring, climate change research and marine pollution monitoring.

The invention provides application of ciliates in heavy metal toxicity detection and a heavy metal toxicity detection method, and relates to the technical field of heavy metal toxicity evaluation. Specifically, the invention provides application of the Nalklukella marrimilis as a detection organism in heavy metal toxicity detection. The research finds that compared with other marine organisms, the nanokallukella marrimilis has the advantages that the acute toxicity response time of the nanokallukella marrimilis to heavy metals is shorter, and the threshold value is more sensitive. Therefore, the nanokallukella margaritae can be used for detecting the toxicity of the heavy metals, a reference is provided for evaluating the toxicity effect of deep-sea organisms on the heavy metals, and a scientific basis is also provided for evaluating the marine pollution risk. The method is of great significance to environmental protection.

The present invention discloses a pollutant diffusion simulation and assessment method for marine environmental protection, which belongs to the field of marine pollutant technology and includes the following steps: configuring a pollutant model based on obtained multi-source data, initializing dynamic factors, obtaining initialization data such as ocean current speed and direction, tidal height and period, wind field intensity and direction, temperature, salinity, and pH value, and defining a chemical reaction model based on the initialization data combined with the pollutant characteristic matrix. Through the fusion and dynamic modeling of multi-source data, the simulation accuracy of the pollutant diffusion path is significantly improved, and the dynamic change characteristics of the diffusion process can be accurately captured. Combined with the efficient initialization of dynamic factors and the multi-dimensional analysis of physical and chemical conditions, a comprehensive analysis of pollutant diffusion behavior is achieved, providing reliable technical support for marine pollution monitoring and assessment.

The present invention discloses a method, device, electronic device and storage medium for marine pollution monitoring, which includes obtaining marine pollution data; performing pollution prediction on the marine pollution data through at least one decision tree to obtain first pollution factors respectively corresponding to at least one decision tree; and obtaining a target pollution factor according to the first pollution factors respectively corresponding to at least one decision tree. By implementing the embodiments of the present application, pollution prediction is performed on the obtained marine pollution data through at least one decision tree to obtain first pollution factors respectively corresponding to at least one decision tree, and a target pollution factor is determined according to at least one first pollution factor, so that pollution prediction can be performed through multiple decision trees to reduce the error rate of pollution prediction, thereby improving the accuracy of marine pollution prediction.

The invention discloses a marine dumping area eukaryotic microorganism monitoring method based on an environmental DNA technology, and belongs to the technical field of environmental monitoring and marine ecology. The invention provides a microbe monitoring method which fully utilizes abundance data and DNA sequence data and improves the accuracy of subsequent analysis, and a marine dumping area eukaryotic microbe monitoring method which can accurately reveal the composition of eukaryotic microflora in different marine dumping areas and the diversity change of the eukaryotic microflora. And a flexible and reliable technical platform is provided for ecological monitoring of a marine pollution area. According to the method, the environment DNA data is divided into the environment DNA abundance data and the environment DNA sequence data, and the environment DNA data is denoised through the encoder in consideration of the characteristics that the environment DNA abundance data has high sparsity and has a large number of zero values, so that the data quality can be improved, and a reliable basis is provided for subsequent ecological inference. The structure information of the environmental DNA data can be better captured, and the high noise and sparsity influence of the environmental DNA data can be effectively reduced.

The application provides an offshore oil spill intelligent identification and emergency disposal system, and relates to the technical field of marine pollution prevention.The system comprises: an intelligent identification module that acquires multi-source images, extracts features by using a segmentation network model and a color space segmentation algorithm, and obtains oil spill identification data; an intelligent decision module that obtains risk assessment data by analyzing the oil spill identification data, and determines an emergency disposal scheme and equipment dispatching control instructions; an emergency disposal module that dispatches disposal equipment, obtains operating state data to obtain a compensation coefficient, and adaptively adjusts working parameters in combination with the oil spill identification data; and a feedback optimization module that generates a review data set by using disposal effect data to iteratively update the segmentation network model and the color space segmentation algorithm.The application solves the technical defects of low identification accuracy, delayed response and poor coordination of the prior art, and greatly improves the oil spill recovery efficiency under complex sea conditions.

The invention discloses a marine pollution monitoring method and device, electronic equipment and a storage medium. The marine pollution monitoring method comprises the following steps: acquiring marine pollution data; performing pollution prediction on the marine pollution data through the at least one decision tree to obtain a first pollution factor corresponding to the at least one decision tree; and obtaining a target pollution factor according to the first pollution factor corresponding to the at least one decision tree. According to the embodiment of the invention, pollution prediction is carried out on the acquired marine pollution data through the at least one decision tree to obtain the first pollution factor corresponding to the at least one decision tree, and the target pollution factor is determined according to the at least one first pollution factor, so that pollution prediction can be carried out through the multiple decision trees; the error rate of pollution prediction is reduced, so that the accuracy of marine pollution prediction can be improved.

The utility model discloses a rapid detection and early warning device for marine algae pollutants, relates to the technical field of marine pollutant detection, and solves the problem that in the prior art, explosive growth and dynamic change of enteromorpha cannot be timely found and early warned. The marine algae pollutant rapid detection early warning device comprises a first air bag, the peripheral side of the first air bag is communicated with a second air bag, and the periphery of the second air bag is connected with a plurality of friction strips; a shell is arranged on the inner circumferential side of the second air bag, a positioning assembly and a lithium battery are arranged in the shell, the positioning assembly is electrically connected with the lithium battery, and the positioning assembly comprises a Beidou satellite navigation system, a satellite communication module, an AIS and a GPS; the upper end of the shell is connected with a spectrum sensor, and the spectrum sensor is electrically connected with the positioning assembly and the lithium battery. The method has the beneficial effects that accurate geographical location information and spectral information can be provided, and the density and distribution trend of enteromorpha can be accurately observed.

The invention provides a method and device for tracing substances in a sea area, computer equipment and a storage medium, and belongs to the field of sea area pollution tracing. The method comprises the following steps: pre-constructing a three-dimensional orthogonal grid and a hydrodynamic three-dimensional flow field according to position information of a sea area to be verified; setting at least two observation stations in a sea area to be verified, and obtaining a monitoring substance concentration time sequence of each observation station; determining starting and ending moments of a reverse flow field according to the monitoring substance concentration time sequence, and solving an adjoint equation according to the reverse flow field, the starting and ending moments and the position data of the observation station to obtain an adjoint substance concentration space distribution state and an adjoint substance concentration time sequence; and according to the monitoring substance concentration time sequence, the accompanying substance concentration space distribution state and the accompanying substance concentration time sequence, determining the position information of the target pollution source, the release intensity of pollutants released by the target pollution source and the change trend of the release intensity. The method can achieve the effect of improving the accuracy and efficiency of marine pollutant traceability.

The present invention discloses a method for predicting the movement trajectory of marine pollutants and warning the safety of water intake in coastal power plants, comprising the following steps: (1) establishing a regional tidal current mathematical model; (2) establishing a particle tracking model; (3) taking the engineering water intake gate as the center and dividing the surrounding sea area into several particle source release points; (4) calculating the movement path of pollutants, and statistically analyzing the flux and distribution of pollutants entering the open channel; (5) making a probability cloud map of pollutants entering the open channel; (6) synchronously marking the pollutants on site; (7) inputting the pollutant information into the particle tracking model to predict the subsequent movement trajectory of the pollutant and calculate the time for it to move to the water intake, so as to give a warning to the operation unit of the coastal power plant. The adoption of the above technical solution can give a warning to the cold source safety department of the coastal power plant, reduce the risk of unit shutdown caused by pollutant accumulation in the coastal power plant, and improve the operation efficiency of the coastal power plant.

This invention relates to the field of marine pollution early warning technology, and in particular to a method and system for judging and warning of eutrophication in marine waters based on image recognition. The method includes acquiring multi-source image data; preprocessing the acquired multi-source image data; detecting occlusion areas and constructing masks on the preprocessed image data to generate target detection boxes; outputting eutrophication area masks based on the generated target detection boxes using an improved U-Net network combined with a spatial channel fusion strategy; and visualizing the diagnostic results based on the output mask. This invention significantly improves the ability to capture early anomalies, model the spread trend of moderate eutrophication, and provide graded response capabilities for severely affected areas, possessing good engineering promotion potential and practical deployment value.