541 results about "Buffer zone" patented technology

The invention discloses a soft network system capable of expanding a transmission mode and an implementation method, and the system comprises an equipment resource mapping management unit which automatically generates a unique channel code based on a native hardware interface and establishes a multi-dimensional mapping relation; the heterogeneous interface data acquisition unit is used for monitoring various hardware interfaces in a kernel space in parallel and realizing zero-copy data transmission through a three-buffer lockless annular buffer area; the transmission abstraction and dynamic expansion unit realizes transmission mode modularization in a plug-in form and supports atomic hot plug during operation; the protocol analysis and service processing unit is used for realizing unified scheduling and fault isolation in a single process through a dynamic link mechanism; and the cross-layer monitoring and self-healing unit realizes automatic switching based on a session state machine and a redundant channel. According to the method, the code complexity is reduced from O (N * M) to O (N + M), and the time lt is extended; fault switching is carried out at 1s; and the hardware cost is reduced by more than 40%, so that the method is particularly suitable for power and environment monitoring scenes with more than 1000 devices and more than 15 protocols, and has high creativity.

The invention relates to the technical field of scheduling management, in particular to a dynamic production scheduling management system based on artificial intelligence, which comprises a task compression coefficient generation module, a task priority remapping module, a resource conflict index extraction module, a path broken link node identification module and an alternative task sequence construction module. According to the method, quantitative evaluation is performed on the task timeliness urgency degree through the time buffer region constructed by the latest starting time and the predicted execution duration of the task, the key task influencing the delivery node can be dynamically identified, so that the task priority relationship is not statically solidified any more, and potential link breaking points in the technological process are screened in combination with the path structure dependency relationship; a prediction trigger condition is constructed through a judgment node with the minimum structural sensitivity, a task replacement path is predicted by matching a process parameter group with a convolutional neural network model, a node with the minimum interference degree is screened to form a repair scheme path, and the plan failure risk caused by abnormal nodes is reduced.

The invention provides a park environment risk traceability and grading early warning management and control method, and belongs to the technical field of risk early warning based on computer data processing. The method comprises the following steps: firstly, collecting video monitoring, environment and equipment state sensor and real-time meteorological heterogeneous data in a whole domain and a peripheral specific buffer zone of a park, and preprocessing the data to obtain standardized multi-source data; dividing grid units by taking a park boundary coordinate as a reference and distributing a unique standardized code, associating standardized multi-source data to a corresponding grid according to a rule, and performing fusion calculation on a grid-level risk characteristic value of each grid; then combining real-time meteorological data, tracking a risk diffusion path through a reverse derivation algorithm, positioning a risk source position and a core range, and outputting related parameters; and finally, grid risk levels are divided according to the grid risk characteristic values and a preset threshold interval, a corresponding early warning mechanism is triggered, and early warning information is output. According to the invention, the precision of environmental risk positioning, the reliability of traceability analysis and the refinement degree of an early warning result are improved.

The invention discloses a dragging positioning spraying track planning method for a local area of the surface of special equipment and a storage medium, and belongs to the technical field of industrial robot automation. The method comprises the steps of obtaining point set data of a to-be-sprayed area; calculating a convex hull based on the point set, and solving a minimum enclosing rectangle by using a rotary caliper method to determine an accurate rectangle spraying boundary; constructing a rectangular amplitude limiting sedimentary model through spraying testing and parameter identification; generating a grid track with a buffer area based on the model and the boundary, and optimizing the spraying speed by taking the minimization time as a target; and for the curved surface, performing B-spline curved surface reconstruction and extracting a normal vector to control the attitude of the spray gun. According to the method, the complex multi-parameter trajectory optimization problem is simplified into single-speed optimization through the rectangular amplitude limiting deposition model, the problems that in local spraying, trajectory planning is complex, edge control is not precise, a coating is not uniform and the like are effectively solved, and the spraying efficiency and quality are remarkably improved.

The invention discloses a multi-unmanned aerial vehicle area coverage path planning method with no-fly zone avoidance. The method comprises the following steps: converting an input operation area boundary and longitude and latitude coordinates of a no-fly zone into a UTM plane rectangular coordinate system, carrying out safety buffer area expansion on all no-fly zones, and calculating a difference set between the operation area and the safety buffer areas of all no-fly zones to obtain a final available operation area; segmenting the final available operation region to generate a plurality of sub-regions with balanced areas; for each sub-region, generating a parallel scanning route covering the region; and each sub-region line segment generates a parallel scanning route covering the region according to a preset interval. The method can ensure that the path avoids the no-fly zone, the zone distribution is balanced, and the calculation is efficient.

The invention discloses an RDMA asynchronous communication optimization method and system based on a lock-free queue, a medium and a processor, and relates to the technical field of remote communication. The method comprises the following steps: constructing a lock-free annular buffer area at an edge node, registering the lock-free annular buffer area as an RDMA memory area, and configuring a queue and a thread pool; the collection thread concurrently writes data, and the RDMA submission thread asynchronously completes remote transmission based on a buffer area state; and the queue processing thread performs closed-loop linkage transmission and buffer area states through'batch polling-result analysis-state synchronization-exception processing ', and dynamically adjusts the buffer area and queue parameter optimization performance at the same time. The problems that an existing RDMA scheme is poor in thread cooperation, weak in resource adaptation, not timely in state linkage and the like are solved, transmission delay and CPU overhead are greatly reduced, communication stability and the resource utilization rate are improved, and the method is suitable for edge computing and other high-concurrency data interaction scenes.

The invention provides an underground gasification combustion cavity boundary identification and leakage intelligent monitoring method and system based on microseismic-electromagnetic-temperature multi-field coupling inversion, and relates to the technical field of leakage intelligent monitoring. The method comprises the following steps: collecting multi-source data under a unified space-time reference, extracting event distribution, electrical abnormality and temperature rise characteristics, and forming a multi-field characteristic set; taking the cavity boundary and the leakage parameters as joint unknown quantities, establishing a physical consistency constraint based on volume conservation, boundary smoothness and heat and mass flux continuity, and performing multi-field joint inversion to obtain a high confidence solution and uncertainty distribution of the cavity boundary; and boundary reconstruction is further realized through equal likelihood surface extraction and connectivity and morphological smoothing, temperature rise, resistivity and micro-seismic density information are fused in a buffer zone outside the boundary, a leakage index is calculated, graded alarm is judged, and a disposal suggestion is output, so that accurate recognition of the cavity boundary and intelligent early warning of leakage risks are realized.

The invention discloses a point cloud intelligent cutting and dynamic optimization method based on edge computing, and belongs to the technical field of intelligent traffic systems and edge computing, and the method comprises the steps: collecting three-dimensional point cloud data through a multi-line laser radar disposed on an RSU; generating a three-dimensional bounding box through a three-dimensional target detection network in an RSU edge calculation unit, generating an ROI mask, expanding a buffer region, and performing adaptive region cutting on the point cloud to form an ROI point set and a background point set; a perception-driven cutting decision is realized, and ROI extraction is converted into a self-learning process based on semantic features from fixed threshold judgment; voxelizing the non-uniform resolution point cloud, generating a unique hash index for each voxel unit, comparing a hash set of a current frame with a hash set of a previous frame, extracting newly added and disappeared point sets, and constructing a differential data packet according to a change ratio; while high timeliness is kept, data redundancy is reduced, and the point cloud updating rate and the incremental transmission efficiency are improved; and dynamic optimization of communication-calculation cooperation is realized.

The invention discloses a data asset visualization and collaborative governance method and system based on an AI agent, and the method comprises the steps: carrying out the mapping of attribute parameters, such as the type, scale, value and the like, of data assets, building a feature space, completing the nonlinear mapping from high dimension to low dimension through a t-SNE model, and achieving the visualization feature presentation of the data assets. Initializing a deep Q network agent, setting a reward function by taking visual features as a state space, governance operation as an action space and parameter change, selecting actions by the agent according to the reward function to execute collaborative governance, and storing empirical data into a buffer region to train the network; and training is repeated until network convergence, and a visual and cooperative treatment strategy is generated. The system is composed of a data asset feature mapping unit, a t-SNE conversion unit, an agent initialization unit and the like, all the units are mutually connected and cooperatively operate, data asset visualization and intellectualization and automation of cooperative governance are achieved, and the data asset management efficiency and the value mining capacity are effectively improved.

The invention discloses a software flashing method and system, a computer program product and a storage medium. The software flashing method comprises the following steps: in response to a downloading request of a client for a target flashing file of a server, dividing the target flashing file into a plurality of data blocks; sending the plurality of data blocks to a buffer area of the client, and preferentially sending a data block containing header information of the target flash file in the plurality of data blocks; the header information is used for requesting an ECU for data flashing, and the ECU is associated with the client; and when it is detected that the header information reaches the buffer area, flashing the received data blocks in the buffer area to the ECU based on the header information until the target flashing file is completely flashed to the ECU. The software flashing efficiency can be improved.

The invention relates to the technical field of production management, and particularly discloses a bearing processing productivity optimization and production scheduling system, which comprises a process state sensing module, a dynamic bottleneck identification module, a self-adaptive buffer control module, a collaborative scheduling decision module and a productivity optimization execution module. Through cooperative work of the dynamic bottleneck identification module and the adaptive buffer control module, a static management mode of a traditional fixed buffer area is thoroughly changed. The system can sense the change of a production flow in real time, accurately identify a bottleneck, and dynamically adjust the target inventory level of a buffer area based on a fuzzy control algorithm, so that a buffer strategy can adaptively match a current production state. The problem that upstream and downstream processes wait for each other due to improper arrangement of a buffer area is solved, and passive blockage and material interruption between the processes are converted into active and flexible rhythm cooperation, so that systematic equipment waiting time is remarkably shortened, hidden capacity is released, and the equipment comprehensive utilization rate and output efficiency of a whole production line are improved.

The invention discloses a multi-window rendering optimization method for containerized swan application, and the method comprises the steps: building a window adaptation layer at a host side to achieve the instruction conversion from a container side to the host side, analyzing a rendering mode at the container side when the swan application Abilitity is started, generating a structural body containing window full-amount attributes, and transmitting the structural body to the host side; the adaptation layer creates a corresponding native window to establish mapping between a swan gap window and a host window, a Mesa compatible buffer pool is initialized for the window according to a rendering mode, when an application initializes a frame buffer creation request, a host side allocates an idle buffer from the corresponding buffer pool, a container side establishes mapping between a virtual frame buffer object and a host side buffer, and the virtual frame buffer object is mapped to the host side buffer; when the swan application submits display, the cross-container sharing handle of the rendering buffer area is exported from the container side and sends buffer area data to the host side, the host side imports the sharing handle and then binds the GPU buffer area to the surface of a target window to submit a refreshing request, and the synthesizer synthesizes application rendering content and original window decoration and sends the application rendering content and the original window decoration to the display equipment to complete screen display.

The invention discloses a wafer clamping and rotating device. The wafer clamping and rotating device comprises a clamping mechanism and a driving mechanism, the clamping mechanism comprises a side arm and a clamping jaw; the clamping jaw is installed on the side arm through a crumple structure, the crumple structure comprises an installation groove formed in the inner side face of the side arm, a connecting block connected with the clamping jaw is arranged in the installation groove, a gap is formed between the connecting block and the installation groove to form a buffer area, a supporting shaft is connected in the clamping jaw, and a first penetrating hole and a second penetrating hole which are communicated are formed in the connecting block and the side arm. The second penetrating hole is divided into a thick section part and a thin section part, a pressure spring arranged on the supporting shaft in a sleeving mode is arranged in the thick section part, a guide shaft is connected into the connecting block, a through hole is formed in the side arm, the free end of the guide shaft penetrates through the through hole, and a contact sensor is arranged on the outer side face of the side arm. Thus, through the pressure spring and the buffer area, part of clamping impact force transmitted by the clamping jaw can be effectively counteracted, rigid contact force between the clamping jaw and the wafer is converted into flexible buffer force, and breakage caused by direct extrusion of the wafer due to too large clamping force is avoided.

The invention discloses a three-dimensional water ecological restoration method based on an ecological system, and the method specifically comprises the following steps: S1, carrying out the construction of a temporary dam for a river channel of a construction area, and carrying out the water ecological operation and water level reduction for the construction area; impurity cleaning is conducted on the river channel area after the water level is lowered; s2, in-situ remediation of the bottom mud: scattering a bottom material modifier in the river channel area after the sundries are cleared to complete the in-situ remediation of the bottom mud; submerged plants are planted; s3, after the submerged plants are planted, an ecological water purification barrier and a biological grid are installed, and water purification is conducted; s4, emergent aquatic plant buffer zone planting, microorganism regulation and control and aquatic animal putting are conducted on the two sides of the river channel, a three-dimensional water ecological restoration network is constructed, and water ecological restoration is completed. Through the synergistic effect of the ecological water purification barrier and the biological grid, rapid and high-strength physical adsorption and microbial degradation of pollutants are achieved, meanwhile, ecological niche is built, and recovery of biological diversity is achieved.

The invention provides a production scheduling method based on a hierarchical strategy model and lean management. The method comprises the following steps: constructing the hierarchical strategy model comprising a high-level strategy model and a low-level strategy model; a global state vector is constructed according to operation data of a production workshop, a high-level strategy model generates initial probability distribution for all action options according to the global state vector, the priority of each action option is calculated, the initial probability distribution of all the action options is adjusted in a self-adaptive mode according to the priorities, and the initial probability distribution of all the action options is calculated. Outputting the current optimal action option according to the adjusted probability distribution; the low-level strategy model generates specific actions including the equipment processing speed, the transport frequency of a transport vehicle and the cache region capacity adjustment proportion according to action options output by the high-level strategy model; and integrating the cumulative sequence of the action options selected by the high-level strategy model on each time step length with the continuous control action sequence correspondingly generated by the low-level strategy model to form a final production scheduling scheme.

An inventory handling station assembly for a storage and retrieval system is disclosed. A grid framework structure includes a plurality of upright columns for one or more containers to be stacked, the plurality of upright columns being interconnected at their top ends by grid members which support first and second sets of tracks for a load handling device to move containers on the grid framework structure. A supply zone includes at least one vertical chute. A buffer zone vertically accumulates containers and includes at least one bin lift device. An access station is intermediate of the supply zone. A conveyor system conveys containers 10 from the supply zone to the buffer zone via the access station.

If an overlap of two or more extended reality (XR) safe play areas, associated with active XR devices (e.g., VR devices) operating in a physical space is detected, then a combined safe area is determined based on the first and second safe areas. A configured first XR safe area is generated. A virtual partition may demarcate the separation between the safe areas. The virtual partition may include a buffer zone that separates the reconfigured first safe area from the reconfigured second safe area. An errant XR device may be guided back to its safe area.

The invention discloses a large model collaborative continuous learning method and system based on small model driving, and belongs to the technical field of artificial intelligence and continuous learning, and the method comprises the steps: S1, obtaining text data of a current continuous learning task; s2, performing feature extraction on the text data by using a small model, and inputting the extracted features into a parameter generator to dynamically generate specific adapter parameters of a continuous learning task; s3, performing fine adjustment on the basic large model for executing the continuous learning task based on the adapter parameters; and S4, performing prediction by using the fine-tuned basic large model. Wherein the small model relieves the forgetting problem through task increment fine tuning and experience playback, meanwhile, an information model is introduced to optimize selection of samples in a buffer area, the burden of continuous learning is transferred to the small model, the problems of high calculation cost and disastrous forgetting caused by direct fine tuning of a large model are avoided, and the method is suitable for large-scale popularization and application. The stable and efficient learning of the model on the continuous task flow in the resource-constrained environment is effectively realized.

The invention belongs to the technical field of equipment acceptance, and particularly relates to an equipment acceptance method and device based on positioning and an electronic fence, equipment and a medium. The method comprises the following steps: configuring a layered electronic fence comprising a core area and a buffer area; collecting multi-source positioning data and IMU data, carrying out weighted fusion to obtain a preliminary fusion coordinate point, and collecting an equipment nameplate image at the same time; performing optimization processing on the coordinate sequence based on the IMU data; performing environmental error correction on the optimized coordinates by using a machine learning model to obtain final coordinates; equipment nameplate information is extracted through an OCR technology; and performing acceptance judgment based on the position relationship between the final coordinates and the electronic fence: when the coordinates enter the buffer area, improving the positioning frequency, after entering the core area and continuously staying, judging that the position acceptance passes, and when both the position and the equipment identity information pass verification, automatically generating acceptance qualification judgment. Double automatic verification of the spatial position and the identity information of the equipment is realized, and the acceptance efficiency and precision are improved.

Disclosed is a method for extracting a boundary line of on-year and off-year moso bamboo forests based on Sentinel-2 remote sensing data, and relates to the technical field of forestry remote sensing. The method includes classifying remote sensing images to acquire spatial distribution of three land type results, the three land type results including several on-year moso bamboo forests, several off-year moso bamboo forests and other vegetations between the on-year and off-year moso bamboo forests; extracting an initial boundary line of the on-year and off-year moso bamboo forests according to spatial distribution of three land type results; building a buffer region of the initial boundary line, and acquiring intersecting pixels of the buffer region and the spatial distribution of three land type results; and calculating pixel thresholds by using the intersecting pixels, and acquiring a final boundary line of the on-year and off-year moso bamboo forests. Using the above method can accurately obtain the boundary line between on-year and off-year of moso bamboo forests.

The invention relates to a flight plan conflict judgment method based on flight interval regulation. The method comprises the following steps: discretizing flight plan track data to generate flight plan track grid data; generating a flight plan track gridding buffer area based on a flight interval rule, and judging a potential flight conflict detection block in combination with a limited flight area; judging whether time overlapping exists among the flight plans or not at each potential flight conflict detection block, and when time overlapping exists, performing conflict judgment on flight plan tracks, limited flight areas of the potential flight conflict detection blocks and potential flight plan conflict tracks; and judging a potential flight plan conflict track pair based on a vertical interval rule of the flight interval, calculating a relative track relation of the potential flight plan conflict track pair, and judging an actual conflict between the flight plans based on the relative track relation and the flight interval rule. The flight plan conflict in the complex airspace can be automatically judged, and the airspace safety and the intelligent level of air traffic management are effectively improved.

The invention discloses an automobile border crossing tolerance alarm method and system for a fixed operation line. The method comprises the following steps: generating a dynamic buffer area based on vehicle basic information, vehicle driving lane information and weather information; when the vehicle is driven into the dynamic buffer area of the lane, acquiring a drift point of a driving historical track of the vehicle on the lane; obtaining a vehicle course angle, and calculating an included angle deviation between a current driving track vector and a road segment vector; and determining an early warning level according to the drift point number and the included angle deviation. The real intention of the vehicle is deduced by analyzing the deviation between the vehicle course angle and the road direction and the historical track drift point, and the real risk is accurately captured.

The invention relates to the technical field of computer graphics, sensor simulation and real-time rendering, in particular to a panoramic laser radar simulation method and system based on a single GPU calculation shader, and the method comprises the steps: receiving simulation parameters of a laser radar sensor, assembling the simulation parameters into a constant buffer area object, and carrying out the simulation of the laser radar sensor on the constant buffer area object; the method comprises the following steps: allocating a structured point cloud buffer area and binding shader resources in a rendering dependency graph framework, scheduling and calculating a shader to generate a two-dimensional thread index, calculating a light beam direction vector corresponding to each thread and constructing a ray descriptor based on the two-dimensional thread index, and obtaining hit information; the method comprises the steps of calculating echo intensity based on hit information according to a preset intensity model, simulating noise, writing point cloud attributes into a structured point cloud buffer area, and asynchronously looking back point cloud data for consumption through the structured point cloud buffer area. And the throughput and the data consistency are improved.

A robotic imaging system includes a camera configured to obtain one or more images of a target site. A robotic arm is operatively connected to the camera, the robotic arm being adapted to selectively move the camera in a movement sequence. The robotic imaging system includes a sensor configured to detect and transmit sensor data related to a respective position and / or a respective speed of the camera. A controller is configured to receive the sensor data, the controller having a processor and tangible, non-transitory memory on which instructions are recorded. The controller is adapted to selectively execute a collision avoidance mode, which includes determining a trajectory scaling factor for the camera. The trajectory scaling factor is applied to modulate the respective speed when the camera and / or the robotic arm are in a predefined buffer zone.

The invention belongs to the technical field of shared vehicle management, and particularly relates to a method and a system for counting vehicles in a shared vehicle electronic fence, in a fence modeling stage, encrypted boundary points are adaptively generated, the boundary precision of a polygonal fence model is ensured, misjudgment caused by GPS drifting is effectively reduced, and in a coordinate unification stage, the calculation efficiency is improved. Multi-source vehicle positioning data are converted, a coordinate system is unified, statistical accuracy is guaranteed, in the vehicle screening stage, vehicle-candidate fence mapping is established, a foundation is laid for improving boundary judgment precision, in the fence judgment stage, accurate point position judgment is conducted through a ray method, buffer area judgment and directional drifting processing are introduced, and the accuracy of boundary judgment is improved. And the accuracy of fence judgment is further improved, so that the real-time performance of vehicle statistics is ensured, multi-platform data is compatible, and the management efficiency of shared vehicles and the parking specification level are improved.

The invention provides a low-altitude traffic operation control method and system based on moving block. The method comprises the following steps: layering an airspace according to aircraft type performance and service types for the vertical take-off and landing aircraft, and distributing corresponding entering and leaving areas according to flight height layers of the aircraft; quasi-moving block is introduced into a low-altitude traffic system, an air route network and operation rules are designed, a free area-buffer area-block area three-level space structure of an aircraft is dynamically constructed according to the state of the aircraft, when the front aircraft occupies a certain block area, the first area in front of the block area is a buffer area, and the second area in front of the block area is a block area. The second zone in front of the blocking zone is a free zone, the aircraft flies in the free zone according to the current speed, and the aircraft is selected for braking in the buffer zone according to the braking distance obtained through calculation. According to the method, the braking curve is generated by dynamically dividing'free area-buffer area-block area 'and combining the braking performance, so that the safety redundancy is increased, and the safety and airspace utilization rate is improved.

This utility model relates to the field of sound-producing toy technology, specifically to a sand hammer and a double-headed rattle. The sand hammer includes a sound generator for producing sound. Specifically, when the sound generator is shaken, the particles inside the sound generator collide with the inner wall of the shell, thus producing a rustling sound. It also includes a spherical soft sleeve fixedly covering the outside of the sound generator, with a buffer zone between the spherical soft sleeve and the sound generator. By using the spherical soft sleeve as the exposed head of the sand hammer, if the sand hammer collides with the user during use, the spherical soft sleeve can reduce the injury suffered by the user. Furthermore, the buffer zone between the spherical soft sleeve and the sound generator can further buffer and reduce the impact force, making it especially suitable for use by infants and young children. Finally, it includes a grip, with the first end of the grip connected to the sound generator and / or the spherical soft sleeve, and the second end of the grip extending out of the spherical soft sleeve for easy gripping and use by the user.

The invention discloses a motion pose error dynamic compensation method and system based on deep reinforcement learning, belongs to the technical field of motion pose measurement, and aims to collect the difference between a track data centralized control command and an actual execution pose and train a deep reinforcement learning model. The intelligent agent interacts with the environment based on a DDPG algorithm, firstly, modeling is carried out on a time sequence of a historical track based on an LSTM network and a multi-head attention mechanism, and then dynamic compensation output is carried out by adopting an Actor-Critic dual-network structure; and generating a state transition track of dynamic error compensation in the interaction process of the intelligent agent and the environment, and storing the state transition track in an experience playback buffer area. According to the method, modeling is performed on the time sequence of the historical trajectory through deep reinforcement learning and environment interaction in combination with a multi-head attention mechanism and an LSTM network, so that the feature expression ability and the prediction precision are enhanced, and the method has relatively good practicability.

The invention relates to the technical field of water treatment, and discloses a multi-stage linkage water quality purification treatment method for drainage basin treatment, which comprises the following steps: reducing the flow rate of drainage basin runoff entering a pretreatment pool by using a stepped energy dissipation ridge; an overflow weir is arranged between the pretreatment pool and the biochemical purification unit, runoff with the flow lower than a threshold value is guided to the biochemical purification unit according to a water level pressure head, and excessive flow is guided to a bank zone ecological buffer zone; enabling the runoff to sequentially flow through the anaerobic biological filter tank and the aerobic ecological tank, and generating gravity flow by utilizing a unit elevation difference; according to the invention, the self-adaptive flow distribution is realized by utilizing a water level physical signal, the scouring stripping of a microbial film of a biochemical unit by a dynamic load is effectively prevented, and the stability of the effluent quality of the system is maintained through kinetic energy level conversion.

The invention discloses a perinereis aibuhitensis-cynanchum komarovii symbiotic circulating breeding mode adaptive to a southern coastal high-temperature environment, and relates to the technical field of perinereis aibuhitensis breeding. The breeding mode comprises two aspects of breeding pond construction and breeding management; the culture pond is a layered symbiotic culture pond, and the layered symbiotic culture pond comprises a surface layer purification area, a middle layer culture area and a bottom layer buffer area from top to bottom; after the perinereis aibuhitensis is put, plant and nereis breeding management is conducted in stages. According to the breeding mode disclosed by the invention, a multi-element ecological chain of double-variety sea horse teeth, suaeda glauca and flora is constructed, cross-salinity purification and resource closed loop are realized, and the ecological efficiency is improved.