5909results about How to "Improve the protective effect" patented technology

The invention provides a network attack link tracking and threat situation reasoning method based on a knowledge graph, and relates to the technical field of network security, and the method comprises the steps: collecting and processing original data; extracting features and constructing a network attack knowledge graph; performing representation learning by adopting a graph neural network; identifying a time sequence dependency relationship; generating and analyzing candidate attack links; constructing a dynamic Bayesian network model; performing parameter learning by adopting a variational reasoning algorithm; future attack targets and means are predicted. According to the method, the network attack link can be effectively tracked, the future threat situation is accurately predicted, and the network security defense capability is improved.

The invention provides a cross-domain network security policy automatic generation and protection policy collaboration method and system, and relates to the technical field of network security, and the method comprises the steps: collecting multi-domain security event data; constructing a security threat map; generating a cross-domain security risk score by using a deep learning algorithm; determining an inter-domain access control rule set and an intra-domain protection strategy according to the score; forming a cross-domain collaborative protection strategy; deploying a strategy on the multi-domain security device; establishing an inter-domain information sharing channel; monitoring the strategy effect; optimizing the strategy by using a reinforcement learning algorithm; and updating to each domain security device. According to the method, the effectiveness of cross-domain network security protection is improved.

The invention provides a multi-modal large model construction and operation method and system for reservoir dam safety. The method comprises the following steps: constructing a training set, wherein the training set comprises a single sample; multi-modal data as model input: sensor data arranged on the dam, historical hidden danger records, engineering technology documents formed in various stages of planning, design, construction and operation of the dam, information resources related to dam safety, geometric and material information of the BIM model, timestamps and spatial position information; the probability value of occurrence of the hidden danger event serving as the training label is obtained; the training set is adopted to train a multi-mode pre-training model based on a Transform framework; performing real-time prediction and early warning on potential safety hazards of the dam; and calculating the actual influence degree, the comprehensive risk score, the dynamically set early warning threshold and the emergency measure suggestion of the hidden danger event according to the probability value of whether the hidden danger event occurs or not output by the model. The scientificity and effectiveness of dam safety monitoring are comprehensively improved.

The invention provides a method for generating an active immune defense strategy under cloud-side cooperation, and the method comprises the steps: obtaining the state information of edge nodes in a cloud-side cooperation environment, carrying out the analysis of the node resource occupancy rate, network flow, and connection number key indexes, obtaining a node feature vector, and uploading the node feature vector to a cloud end; on the edge nodes, carrying out propagation speed evaluation and influence range analysis on potential malicious nodes, judging the diffusion trend of a high-risk threat, if the threat is in a rapid diffusion situation, executing complete isolation and network cut-off operations, and reporting the disposal situation to the cloud; in a cloud-side collaborative environment, recording historical behaviors and threat response conditions of each node, and identifying potential novel variant threats by calculating variant threat similarity; and updating the active immune rule base and the threat feature classification system of the cloud according to the result of the threat response and the newly discovered threat features by adopting a rule base dynamic updating mechanism, and synchronizing the updating to the edge node.

The invention relates to the technical field of user behavior analysis, and discloses a method for analyzing abnormal user behaviors based on logs and flow data, and the method comprises the steps: collecting user behavior data, including historical user behavior data and real-time user behavior data; based on historical user behavior data, constructing a group behavior baseline and an individual behavior baseline, and obtaining key behavior characteristics of the user; the deviation degree DEV of the key behavior characteristics of the user deviating from the group behavior baseline and the matching degree SimScore of the real-time behavior sequence of the user and the personal behavior baseline are calculated; according to the deviation degree DEV and the matching degree SimScore, whether the user behavior is abnormal or not is judged, and the risk level of the abnormal behavior is determined; triggering corresponding abnormal alarm and response measures according to the risk level; according to the method, the abnormal behavior of the user can be identified more accurately by fusing the log and the flow data and combining group and individual behavior baselines, and the accuracy and efficiency of anomaly detection are improved.

The invention discloses an EPSS-based vulnerability accessibility rating method, relates to the technical field of network security, and is used for solving the problem that vulnerability path analysis is not clear. According to the method, multi-modal data in threat intelligence is analyzed, a uniform vulnerability multi-dimensional feature vector is dynamically generated in combination with a feature quantization and time correction strategy, and the risk of the vulnerability in an actual scene is comprehensively analyzed in combination with network topology analysis and protection strategy evaluation and environment sensitivity score quantization; the vulnerability priority is dynamically adjusted through attack path simulation in combination with path weights and protection measures, the criticality of vulnerabilities in an attack chain is quantified, it is ensured that high-risk vulnerabilities in a critical path are processed preferentially, and a repair task optimization model under resource and time constraints is established based on the vulnerability priority and a repair dependency relationship. According to the method, the accuracy and the dynamism of vulnerability reachability rating are remarkably improved, and the efficiency of vulnerability management and the actual protection effect are improved.

The invention relates to an Internet of Things equipment intelligent management platform based on edge computing, and aims to realize efficient and intelligent management of Internet of Things equipment through an edge computing technology. According to the platform, the edge nodes are deployed near the data source, so that local processing and storage of the data are realized, the data transmission delay is remarkably reduced, and the response speed of the system is improved. And the platform is provided with an intelligent management module, so that the equipment state can be monitored in real time, faults can be predicted, repair operation can be automatically executed, and the stability and reliability of the system are enhanced. And a self-adaptive data stream processing algorithm is adopted, and the data stream is dynamically adjusted according to a real-time network state and equipment requirements, so that the high efficiency of data processing is ensured. The secure transmission module protects the data transmission process through an end-to-end encryption technology, and prevents data leakage and tampering. The cloud-side collaborative resource scheduling system realizes optimal allocation of resources, and a user-defined rule engine provides high flexibility and personalized management strategies to meet different user requirements.

The invention discloses an explosive environment airtight medium-voltage power transmission cable, and relates to the technical field of power cables, the explosive environment airtight medium-voltage power transmission cable comprises a central conductor, the outer side of the central conductor is tightly coated with an internal conductor insulator, and the outer side of the internal conductor insulator is tightly coated with an insulated conductor shield; the outer sides of the multiple insulated conductor shields are jointly coated with a steel tape armoring, the outer side of the steel tape armoring is tightly coated with a PVC protection sleeve, and the outer side of the PVC protection sleeve is provided with an external telescopic expansion protection mechanism. A fireproof barrier is constructed on the outer side of the cable through the flame-retardant metal thin net, it is ensured that combustible gas outside the cable cannot be ignited even if open fire appears in the cable, the overall fireproof and explosion-proof performance of the cable is further effectively improved, and meanwhile the outer diameter of a fault position is actively increased, so that the service life of the cable is prolonged. A high-voltage breakdown protection layer in the cable is prevented from igniting external combustible gas, and the overall protection performance of the cable is improved.

The invention discloses a security encryption transmission system for game data, and relates to the technical field of game data encryption. Comprising a network environment data collection module, a network risk feature extraction module, a feature analysis and machine learning evaluation module, a network environment classification module, a low-risk network Hash algorithm module and a high-risk network Hash algorithm adjustment module, and various parameter information of the current network environment is comprehensively collected. According to the method, the network environment is intelligently evaluated through machine learning, the system recognizes a high-risk situation in real time, the Hash algorithm is dynamically adjusted, stronger encryption is adopted when the risk is high, the communication safety is improved, and viruses and ransomware are prevented. And when the risk is low, a fixed Hash algorithm is used, and high performance is kept. According to the mechanism, data security is effectively guaranteed, resource use is optimized, and security and system performance are balanced.

The invention discloses a communication network power distribution cabinet convenient for heat dissipation, and relates to the technical field of power distribution cabinets, and the power distribution cabinet comprises a composite mechanism. According to the communication network power distribution cabinet convenient to dissipate heat, through the design of a composite mechanism, the box body shell is used for storing electronic components, after long-time operation, the temperature in the box body shell rises, hot gas rises, and then the hot gas flows to the processing mechanism from the circular groove, so that the heat dissipation effect is achieved, and the internal temperature of equipment is reduced; the ventilation mechanisms are arranged on the two sides of the box body shell, so that the convection effect is achieved, the cold air flowing effect is improved, the cold air is located at the low position with the high density, hot air is squeezed upwards after entering the box body shell, the discharging speed is increased, and the heat dissipation efficiency is improved. The box body shell is supported through the supporting assembly, so that the effect of reducing deformation of the box body is achieved, and internal electronic elements are protected.

The invention discloses a network security threat monitoring method and system based on artificial intelligence, and relates to the technical field of digital information transmission, and the method comprises the steps: obtaining data of a plurality of data sources in a network environment, carrying out the multi-level data fusion of the data through an artificial intelligence model, and forming unified data representation; the artificial intelligence model comprises at least one selective fusion layer, and features are extracted from different data sources and are jointly expressed; based on a data fusion result, performing anomaly detection by adopting an unsupervised learning method; and modeling the network flow data into a graph structure according to the detected abnormal behavior, and analyzing the graph structure by adopting a graph neural network GNN. According to the method, the technical problems of difficulty in multi-dimensional data fusion, delay in threat detection, insufficient response capability and the like in the existing network security protection technology are solved.

The back contact solar cell comprises a silicon substrate, a first passivation layer, a protection layer, a first electrode and a second electrode, the silicon substrate is provided with a first surface and a second surface which are opposite to each other, and one side of the second surface of the silicon substrate is provided with a P-type conductive region and an N-type conductive region which are arranged at intervals; the first passivation layer is arranged on the first surface of the silicon substrate, the protection layer is arranged on the side, away from the silicon substrate, of the first passivation layer, the first electrode is electrically connected with the P-type conductive region, and the second electrode is electrically connected with the N-type conductive region. The protection layer can prevent other stacked back contact solar cells or other objects from making contact with the surface of the first passivation layer, and the surface of the first passivation layer is prevented from being scratched or damaged by other objects, so that the passivation effect of the first passivation layer on the first surface is guaranteed, and the photoelectric conversion efficiency of the back contact solar cells is improved. In addition, due to the arrangement of the protective layer, the surface of the first passivation layer can still be well protected when the multiple back contact solar cells are stacked irregularly, and an isolation part does not need to be additionally arranged between every two adjacent back contact solar cells in the sorting and collecting process. The sorting and collecting efficiency of a plurality of back contact solar cells can be improved, the structure is simple, preparation is convenient, and the preparation cost is saved.

The invention provides an API (Application Program Interface) calling management and control system and authentication method for different security protection levels in a specific field. According to the system, APIs are isolated and deployed to matched API gateways according to security levels, so that the requirement of a specific field for resource isolation of different security protection levels is met. The core component comprises an API gateway management and control module, a caller registration module, an API subscription module, an authentication module and a display center module. In order to ensure the security and credibility of an API caller, an API calling authentication method for different security protection levels in a specific field is designed, and multi-level authentication control is carried out on the basis of an authorization certificate, an IP address, a security level attribute and an access authority. According to the technical scheme, the authorization range of the API resources is controlled, it is ensured that an API caller can only access the API resources matched with the safety protection level of the API caller, confidential data leakage caused by unauthorized access or unauthorized access is effectively prevented, and the high safety requirement for API protection in the specific field is met.

The invention provides a respirator self-adaptive control method, system and equipment and a storage medium, and relates to the field of respirator control. The method comprises the steps that physiological parameters and environmental parameters of a respirator wearer and initial running state data of the respirator are obtained, man-machine state evaluation is conducted based on the physiological parameters and the environmental parameters, and a man-machine state evaluation result is determined; determining an initial control strategy of the respirator based on the man-machine state evaluation result and the initial operation state data of the respirator; acquiring historical data in the use process of the respirator, and adaptively adjusting the initial control strategy based on the historical data to obtain an optimized dynamic control strategy; multi-source sensing data of the respirator are obtained in real time, the dynamic control strategy is adjusted in real time based on the multi-source sensing data, and a self-adaptive control strategy is obtained; and the respirator is controlled based on the self-adaptive control strategy. According to the scheme, the wearing comfort and the protection effect of the respirator can be improved.

The invention discloses an intelligent security monitoring and early warning method and system for an industrial control network, relates to the technical field of network security monitoring, and can collect multi-dimensional data such as network traffic, user behaviors and equipment states in real time through a data acquisition module and a system to ensure the timeliness and comprehensiveness of monitoring. Therefore, potential security threats can be quickly identified, and the overall security protection capability is improved. And the data preprocessing module cleans and standardizes the collected data, so that the data quality and consistency are improved, a reliable basis is provided for subsequent risk assessment, and misjudgment caused by data inconsistency is reduced. And the risk assessment module calculates a comprehensive risk index through a multi-dimensional assessment formula, different types of security threats can be identified more accurately, and a scientific basis is provided for a subsequent early warning mechanism. The multi-level early warning mechanism module divides the risk into a low level, a middle level and a high level according to the comprehensive risk index, and a targeted response strategy can be realized.

The invention discloses an electric power distribution method convenient for maintenance. By arranging a second threaded column (21) and an extrusion plate (22), when the second threaded column (21) rotates, the extrusion plate (22) can be driven to rotate, then the extrusion plate (22) can drive a friction pad (27) to rotate, and when the friction pad (27) is connected with the lower surface of the inner wall of a shell (1) in a lap joint mode, a support plate (17) can be fixed; and by arranging a stop block (28), when the back face of a second protection plate (10) is connected with the front face of the stop block (28) in a lap joint mode, a first threaded column (13) can be more conveniently connected with a second threaded sleeve (14), and therefore the second protection plate (10) can be better fixed. The electric power distribution method convenient for maintenance has the advantages that the structure is compact, the design is reasonable, and the practicability is high.

The invention relates to the technical field of safety control, in particular to an intelligent control method and system for disaster coping with a wind-resistant and fire-resistant rolling shutter door, and the method comprises the following steps: extracting and calculating a wind speed difference value and a temperature gradient value based on a wind speed sensor signal and a temperature sensor signal of the rolling shutter door, carrying out the attribution classification through combining the load pressure data at the two sides of a door curtain, and comparing and judging with the node state of the roller shutter door to obtain a node disaster response priority index. According to the method, the wind speed difference value and the temperature gradient are calculated by extracting wind speed and temperature signals, multi-node cooperation is ensured, transmission shaft operation parameters, infrared signals and the pressure state are analyzed, the operation state is mastered in real time, the power of the transmission shaft is dynamically adjusted to improve adaptability and stability, output of a driving motor and configuration of sealing parameters are optimized, and the sealing performance is improved. The roller shutter door can keep balance between operation and sealing performance under strong wind and high temperature, wind resistance and fire resistance are remarkably improved, disaster loss is reduced, and response efficiency and safety protection capacity are enhanced.

The invention discloses a network security attack and defense confrontation scene generation system for a novel power system. The scene editor module receives user interaction and constructs or modifies an attack and defense scene; the network simulation module generates real network environment data based on a network space surveying and mapping technology, constructs a simulation network environment and manages simulation data through a simulation database; the AI automatic control module integrates an AI algorithm to simulate an attack behavior, intelligently generates and adjusts a defense strategy, and manages an attack and defense rule through a rule engine; the security isolation module deploys security equipment to realize sensitive data isolation; the data flow direction is controlled through strategy configuration, and information leakage is prevented; the evaluation and feedback module is used for collecting data in the drilling process, carrying out multi-evaluation on the drilling effect and generating reports and suggestions; and the business module adopts a plug-in architecture, dynamically loads or unloads each functional module, constructs a multi-layer defense system, and realizes generation, evaluation and feedback of an intelligent confrontation strategy. According to the invention, the authenticity and effectiveness of attack and defense drilling are improved.

The invention relates to an intelligent behavior analysis and anomaly detection system for Internet of Things security, which is applied to the technical field of Internet of Things security, and comprises a data acquisition module, a data preprocessing module, a behavior modeling module and an anomaly detection module, the data preprocessing module cleans the data, the behavior modeling module generates a vector sequence of equipment behaviors through feature embedding and position coding, and the anomaly detection module analyzes time sequence association of the equipment behaviors by utilizing a self-attention mechanism and a multi-head attention mechanism and judges whether the equipment has abnormal behaviors or not. The cooperative defense module realizes cross-device cooperative defense through an edge detection unit and a cloud analysis unit, and the threat intelligence sharing module realizes sharing and updating of threat intelligence through a local intelligence database and an external intelligence interface. And the response module carries out automatic defense and notifies a system administrator through the automatic defense unit and the alarm unit when an abnormity is detected.

The invention discloses an enterprise authority management method and system based on machine learning, equipment and a medium, and the method comprises the steps: obtaining historical operation behavior data of a target user, preprocessing the historical operation behavior data, and inputting the preprocessed historical operation behavior data into a preset enterprise authority risk assessment model based on machine learning for training; acquiring real-time operation behavior data of the target user, and inputting the real-time operation behavior data into the trained enterprise permission risk assessment model to obtain a permission risk assessment result of the target user; and adjusting the target user to perform the permission allocation strategy according to the permission risk assessment result. Compared with the prior art, the enterprise authority risk assessment method has the advantages that the enterprise authority risk assessment risk model is established by combining machine learning and artificial intelligence technologies, then intelligent analysis and dynamic authority allocation are performed on enterprise user behaviors, potential authority abuse and safety risks are detected in real time, and the enterprise authority risk assessment risk is improved. Therefore, the overall information security protection capability of the enterprise is improved.

The utility model relates to an ecological seawall structure, which belongs to the technical field of bank protection engineering and comprises a seawall foundation, the seawall foundation comprises a slope top and a slope body, and a retaining wall structure is arranged at the joint of the slope top and the slope body. An arc-shaped wave dissipation ridge is arranged at the position, spaced by a certain distance from the retaining wall structure, of the top end of the slope body, a cushion layer is laid at the position, located between the arc-shaped wave dissipation ridge and the retaining wall structure, of the top end of the slope body, and the cushion layer comprises a dry stone cushion layer and a broken stone cushion layer which are sequentially arranged from top to bottom. A first block stone cushion layer is laid at the position, located on the side, away from the retaining wall structure, of the arc-shaped wave dissipation ridge, of the top end of the slope body, extends to the bottom of the slope body and further extends outwards to be connected with a second horizontal block stone cushion layer, and a first concrete retaining wall is arranged at the joint of the first block stone cushion layer and the second block stone cushion layer. The accropode is laid at the top end of the second block stone cushion layer and located on the outer side of the first concrete retaining wall. The safety of the seawall can be effectively guaranteed, and the stability of the seawall structure is guaranteed.

The invention belongs to the technical field of cloud storage, and particularly relates to an enterprise service management cloud storage system which comprises a system initialization module, a distributed data storage module, a data encryption module, an authority control module, a multi-level cache module, a data backup and recovery module, a log monitoring module and a task scheduling and dynamic extension module. The distributed data storage module is responsible for dividing data in enterprise service management into a plurality of data blocks; the data encryption module is used for encrypting the enterprise service data stored in the cloud; the authority control module is responsible for managing the access authority of the user to the data; the multi-level cache module accelerates data access by configuring a local cache and a global cache; the data backup and recovery module is responsible for backing up the stored data regularly; the log monitoring module records various operation logs of the system; and the task scheduling and dynamic extension module is used for dynamically distributing calculation and storage resources according to the priority of the task and the utilization rate of the system resources.

The invention discloses a multi-tenant user management method and system supporting permission inheritance, and relates to the field of electrical digital data process.The method comprises the steps that a permission inheritance mapping table is created according to a role authorization request, and a permission inheritance relation is written in; generating a bidirectional mapping cache containing a first mapping table and a second mapping table; when it is detected that the permission of the source tenant role is changed, querying a target tenant user set associated with the source tenant role based on a first mapping table; constructing a permission update message for the target tenant user set, and asynchronously sending the permission update message to each user in the target tenant user set; receiving a permission verification request, and obtaining source tenant role information inherited by a target tenant user according to a second mapping table; and merging the current operation authority of the source tenant role corresponding to the source tenant role information with the operation authority of the target tenant user to obtain real-time authority data of the target tenant user. According to the invention, the real-time performance and accuracy of authority management are improved.

The invention relates to the technical field of data processing, in particular to a cloud computing-based software development application data processing method, which comprises the following steps of: collecting original data generated by software development application from a plurality of heterogeneous data sources in real time through a distributed data acquisition module; cleaning, filtering and formatting the original data, removing noise data and redundant information, and generating a standardized data set; the standardized data set is fragmented according to a preset fragmentation strategy; analyzing the stored data in real time by using the parallel processing capability of cloud computing to generate an analysis result; a result storage and updating step; a data visualization step; a security and authority management step; and an anomaly detection and fault-tolerant processing step. According to the method, the data processing speed and the throughput of the system are improved, and the requirement for real-time feedback in an agile development environment is met.

The invention relates to a rail transit unmanned aerial vehicle data protection system and method, electronic equipment and a medium. The system comprises a grading and classifying module, a batch processing module and an encryption module which are connected in sequence. The grading and classifying module is used for carrying out classification and grading processing on the original data of the rail transit unmanned aerial vehicle and dividing the original data into key sensitive data and general data; the batch processing module carries out batch processing on output of the grading and classifying module, key sensitive data form a file needing to be encrypted, and general data form a plaintext file; the encryption module carries out encryption processing on the to-be-encrypted file output by the batch processing module to generate an encrypted file; the system further comprises an abstract calculation module connected with the batch processing module, a plaintext file and a file needing to be encrypted are subjected to abstract calculation through the abstract calculation module, and then the plaintext file and the encrypted file are sent to the wireless transmission module to be subjected to integrity verification. Compared with the prior art, the method has the advantages of classified protection, good safety, high flexibility and the like.

The invention discloses a new energy station network security assessment method and system, and relates to the technical field of new energy stations, and the new energy station network security assessment method comprises the following steps: obtaining network operation feature data; identifying the change trend of the network stability; identifying key security risk factors influencing the network stability; and adjusting the network protection strategy of the new energy station based on the evaluation result. According to the method, the network behavior recognition algorithm is used for carrying out stability analysis on the network operation characteristic data, the stability change trend is recognized, potential unstable behaviors or hidden dangers in the new energy station network can be found in time, the network state change can be pre-judged in advance, sufficient time and basis are provided for risk control, and the risk control efficiency is improved. According to the method, the key security risk causing network instability is accurately identified, generalization or fuzzy risk assessment is avoided, a basis is provided for formulating an accurate network protection strategy, and the risk prevention and control cost is reduced.

A marching assisting exoskeleton robot comprises a waist supporting structure module, a waist rod module, a joint driving module and a binding system. The waist rod module comprises two groups of waist rod module assemblies which are symmetrically arranged relative to the waist supporting structure module. According to the design scheme provided by the embodiment of the invention, parts can be changed into a whole, the structure of the whole machine is simplified, so that assembling procedures are reduced, the structural complexity can be reduced, and the stability of the machine body is improved. By applying the symmetrical telescopic adjusting module, the machine body can bring better wearing adaptability and comfort to people with different figures. Compared with an existing light walking-aiding exoskeleton robot, the light walking-aiding exoskeleton robot has the advantages of being comfortable and convenient to wear, convenient to operate, high in whole machine protection capacity and high in power-aiding capacity, and in addition, the light walking-aiding exoskeleton robot is small in size and light in mass and has high market competitiveness in exoskeleton robot products of the same type.

The stainless steel pipe welding equipment comprises a base, a fixing mechanism is arranged on one side of the base, a supporting frame is fixedly connected to one side of the base, and a welding mechanism is arranged on one side of the supporting frame; the device has the beneficial effects that a first air cylinder can drive a first push rod to drive a welding gun to conduct lifting adjustment, so that the welding gun is attached to the surface of a steel pipe to conduct welding work, meanwhile, a draught fan on a purification box is started, and negative pressure is formed in an inner cavity of an exhaust fume collecting hood through the draught fan; smoke generated during welding is fed into the purifying box through the smoke collecting hood and the smoke collecting pipe for gas purification, the smoke collecting hood can improve the protection performance, and the problems that gas is diffused in the air due to the fact that welding equipment inconveniently and directly sucks and discharges the gas in the welding process, and the welding efficiency is improved are solved. And the environment and the bodies of surrounding people are affected, and the like.

The utility model relates to the field of metal product hole machining, and discloses a metal product hole machining and polishing device which comprises a workbench, polishing equipment is arranged on the edge of the top end of the workbench, a polishing head is installed in the middle of the bottom end of the polishing equipment, supporting plates are welded to the two side edges of the upper surface of the workbench, and a movable rod is movably installed between the two supporting plates. An outer sliding sleeve sleeves the outer surface of the movable rod, a connecting plate is fixedly mounted in the middle of one end of the outer sliding sleeve, protective covers are rotatably mounted on two sides of the inner wall of the connecting plate, and gears are mounted on hinge shafts at the top ends of the protective covers and extend above the connecting plate; the protective cover is movably connected to the outer surface of the polishing head in a clamped mode, so that the effect of conveniently protecting the polishing head in use is achieved, the problem that metal scraps and metal powder scatter and fly all around during metal product hole polishing is solved, and the overall protective effect during metal product polishing is improved.

The invention discloses a hydrodynamic simulation test system and method for scouring protection of a human-shaped submerged dike offshore wind power pile foundation under reciprocating flow, and the method comprises the steps: collecting environment and reciprocating flow data, and building a numerical model of the influence of the reciprocating flow on the pile foundation through the hydrodynamics; numerical simulation is carried out through the numerical model, the human-shaped submerged embankment and an offshore wind power pile foundation model, experimental verification is carried out, the numerical model is optimized, and the optimal angle, length and width of the human-shaped submerged embankment and the optimal distance between the human-shaped submerged embankment and the pile foundation are adopted in an optimized mode, so that scouring of the pile foundation is effectively reduced, and the durability and the protection effect of the human-shaped submerged embankment are improved; the method comprises the following steps: establishing a numerical model of the influence of a reciprocating flow on a pile foundation based on data in S1 and by adopting a fluid dynamics principle in S2, and establishing a physical model of an offshore wind power pile foundation and a human-shaped submerged dike in S3 at the same time; a numerical model and a physical model under a reciprocating flow condition are provided.