143 results about "Network layout" patented technology

The invention provides an intelligent water affair scheduling method based on LSTM and multi-objective optimization, and belongs to the technical field of intelligent water affair management and urban water supply system optimization. Comprising the following steps: based on water consumption data, performing analysis through a long short term memory neural network to obtain water consumption demand prediction; based on the water consumption demand prediction, combining pipeline information and pipe network layout data, performing pipe network pressure partition optimization, and obtaining a pipe network layout optimization result; and based on the pipe network layout optimization result, combining the historical operation data of the equipment and the water demand prediction, carrying out efficiency analysis on the pump station equipment to obtain an operation combination scheme of the equipment.

The invention relates to the technical field of agricultural internet of things and intelligent regulation and control, in particular to a tobacco planting greenhouse microclimate real-time monitoring and regulation and control method based on a cloud platform, which adopts a'cloud-side-end 'three-level architecture, deploys a multi-source sensor network layout in a tobacco planting greenhouse, is connected with terminal equipment and is used for monitoring and controlling the microclimate of the tobacco planting greenhouse. The multi-source sensor network is a three-level sensor network, the data acquisition and processing module adopts LoRaWAN and 4G / 5G dual-mode redundancy transmission, deploys an LSTM prediction model at an edge computing node, inputs time sequence sensor data, adopts a micro-service architecture, adopts a gRPC protocol for inter-service communication, and constructs a virtual tobacco planting greenhouse model through a Unity 3D engine; according to the method, environmental parameters are collected in real time through a multi-source sensor network, a regulation and control strategy is dynamically optimized through a machine learning algorithm, and precise control over the tobacco growth environment is achieved.

The invention relates to the technical field of municipal planning, in particular to a BIM + GIS-based municipal underground pipe network intelligent planning and conflict avoidance system and method, and the system comprises a BIM-GIS data fusion module which is used for integrating a BIM model and GIS topographic data; the construction process association module is used for analyzing the construction plan to generate a dynamic construction progress table, and constructing a directed graph based on the spatial position relationship of each construction unit in the BIM model; the conflict prediction and avoidance module is used for calculating the space conflict probability of the temporary pipe network and the permanent pipe network in real time in combination with the directed graph and GIS topographic data; the land-saving optimization module is used for carrying out iterative optimization on the temporary pipe network layout through a genetic algorithm based on GIS topographic data and construction area boundary constraints so as to minimize the total length and the occupied area of the temporary pipe network; and the dynamic visualization interaction module is used for providing a three-dimensional BIM-GIS fusion view. According to the method, management and control from static design to dynamic construction are achieved, and the scientificity of underground pipe network planning and the land resource utilization efficiency are improved.

The invention discloses a multi-mode soil moisture content sensor layout method, and relates to the technical field of sensor network layout and optimization. The problem that soil moisture content monitoring quality and low operation cost cannot be considered at the same time in a traditional laying method is solved. According to the method, a soil moisture status state estimation vector and an error covariance estimation vector are obtained and corrected by using a constructed measurement and calculation model and a constructed measurement model, and an objective function is constructed by using the corrected error covariance estimation vector and the soil moisture status state estimation vector to minimize estimation error, state estimation deviation and sensor operation cost. And according to a set constraint condition, enabling the target function to be minimum for constraint, and carrying out optimization solution on the target function by utilizing an optimization algorithm to obtain an optimal layout position of each sensor. The method is mainly used for carrying out optimized layout design on the sensors in the farmland.

The invention discloses a rainfall station network layout method, and relates to the technical field of hydrometric station network layout, and the method comprises the steps: obtaining the rainfall data of a historical rainfall station network in a target region, the historical rainfall station network comprising a plurality of rainfall stations; extracting spatio-temporal characteristics of the rainfall data, and obtaining a rainfall prediction value of each spatial unit based on the spatio-temporal characteristics; obtaining prediction precision and a mutual information mean value based on the rainfall prediction value, constructing a fitness function based on the prediction precision and the mutual information mean value, and obtaining an optimal solution based on the fitness function; and obtaining a target rainfall station network layout result based on the optimal solution. The method solves the problems that an existing rainfall station network layout method is insufficient in spatial-temporal feature capture capability, is easy to fall into a local optimal solution due to dependence on a certain heuristic algorithm, and is low in optimization efficiency and cannot effectively balance and collaboratively optimize multiple targets.

The invention discloses a drainage basin monitoring network layout optimization method based on mutual information active learning. The method comprises the following steps: data processing; constructing an integrated learning prediction model composed of a plurality of LSTMs, initializing each LSTM model parameter by setting different random number seeds, and iteratively updating the model parameters; constructing a covariance matrix of prediction results of the potential monitoring points by using the trained integrated learning prediction model; on the basis of an active learning algorithm of mutual information maximization, mutual information gains of all candidate sites added into the current monitoring network are calculated, candidate points enabling the mutual information gains to be maximum are selected, and information value sorting is carried out on potential monitoring points according to the sizes of the mutual information gains; and outputting a monitoring station optimization suggestion list. According to the method, uncertainty is scientifically quantified by adopting an ensemble learning method, and global information value is evaluated by adopting a mutual information maximization strategy, so that point selection decision does not depend on subjective experience any more, but strict calculation based on data and information theory, and the scientificity of decision is remarkably improved.

The invention discloses a multi-source rainfall monitoring station network design method and device based on a complex network theory, and relates to the field of rainfall monitoring station network design, and the method comprises the steps: obtaining multi-source rainfall data of a research region; grid division is carried out in the research area according to preset precision, candidate sites are determined according to divided grids, connection edges between the candidate sites are determined according to correlation between the multi-source rainfall data of the candidate sites, and a rainfall network of the research area is constructed; calculating a weighting degree betweenness of each candidate station in the precipitation network according to a weighting degree betweenness index calculation method; determining the minimum rainfall monitoring station number in the research area; and sorting the weighting degree betweenness of each candidate station, and at least selecting a minimum number of candidate stations from a sorting result as rainfall monitoring stations. According to the invention, multi-source precipitation data is adopted, optimization design is carried out on precipitation monitoring station network layout points based on a complex network theory, and the accuracy of precipitation monitoring station network layout is improved.

Aspects of the present disclosure include system, methods, and software for buffer insertions. In one example, a method includes receiving a clock signal network layout, wherein the clock signal layout comprises a clock source electrically coupled to a plurality of clock sinks via a plurality of net segments, and creating a plurality of buffering solutions, wherein each buffering solution of the plurality of buffering solutions comprises a plurality of buffers inserted on one or more net segments of plurality of net segments. The method further includes assigning each buffering solution a timing delay value and an area value, and selecting a buffering solution of the plurality of buffering solutions based on the timing delay value and the area value. The method additionally includes committing the selected buffering solution into an integrated circuit design comprising the clock signal network.

The invention provides a communication deployment method for monitoring an intelligent power distribution network, and belongs to the technical field of telecommunication, and the method comprises the steps: 1, analyzing a topological structure of the power distribution network, and determining a topological graph of the power distribution network; 2, analyzing the topological graph of the power distribution network, and further determining a data transmission demand coefficient of each node in the power distribution network; step 3, determining a communication mode of each area in the power distribution network based on the data transmission demand coefficient of each node in the power distribution network, and further generating a preliminary communication network layout in combination with the topological graph of the power distribution network; step 4, carrying out performance simulation on the communication network based on the preliminary communication network layout so as to obtain a network performance analysis report; and step 5, based on the network performance analysis report, optimizing and adjusting the communication network layout, and further determining a final communication network deployment scheme.

The invention discloses a centralized heat supply network pipe pressure monitoring method and system based on artificial intelligence, and relates to the technical field of heat supply system monitoring, and the method comprises the steps: firstly laying optical fibers and point pressure sensors on a network pipe, and collecting acoustic strain and pressure data; constructing a digital twin grid through same-frequency alignment and Delaunay triangulation, and reconstructing a continuous pressure field; calculating the residual error between the reconstruction pressure and the measured value at the monitoring node; extracting multi-scale residual features to form a feature matrix based on a wavelet operator of a pipe network topological structure map; inputting the features into a pre-trained spectrogram wavelet neural network, and outputting a normalized abnormal score; and finally positioning a fault pipe section according to the score and performing graded warning. Physical modeling and deep learning are fused in the whole process, closed-loop monitoring from data collection to fault diagnosis is achieved, and the precision and timeliness of pipe network anomaly detection are remarkably improved. Manual detection is not needed, and the monitoring process is more flexible.

The invention relates to the technical field of double-loop network links, and particularly discloses a redundancy system of a double-loop network link, which comprises a main rack and a plurality of extension racks, and is characterized in that the main rack comprises a first controller, a second controller, a first CPU module base, a second CPU module base, a plurality of first I / O modules and a plurality of first I / O module bases, the first CPU module base is positioned at the head end of the main frame; according to the invention, by optimizing the network layout and reducing the transmission hop count of the data packet in the double-loop network, the network delay is reduced, the redundancy is ensured, the complexity of a redundant path is reduced as much as possible, the introduction of excessive extra delay is avoided, and a switch with high forwarding rate and low delay is selected, so that the overall performance of the network is improved, and the network performance is improved. High-quality optical fibers and cables are adopted, signal attenuation and transmission delay are reduced, and the length and complexity of a transmission path are correspondingly reduced, so that the phenomenon that network response time is increased is avoided, and use by people is facilitated.

Apparatuses, systems, and methods for providing enhanced visualization of lifecycle information and management for a network, such as an industrial network, enable the creation / design of a virtualized network. The virtualized network eases the physical deployment / installation of a real network by using augmented reality (AR) to enable configuration / monitoring of the network using the virtualized network and real-time and / or historical information. Performance issues may be identified and visually conveyed to a user using AR overlay. The virtualized network may be created by a user via a network layout creation tool that combines both physical and logical mappings of devices and elements. One or more AR tools may be used to add, edit, remove, and / or manipulate elements of the network model using gestures. The virtualized network may be implemented as a digital twin of the location and used to assist in the physical deployment, maintenance, and monitoring of a network at the location.

The invention discloses a fire-fighting pipe network inspection management system based on BIM (Building Information Modeling) and CIM (Common Information Modeling), and aims to solve the technical problems that a current fire-fighting pipe network inspection management system cannot realize three-dimensional visualization of a fire-fighting pipe network and is low in management efficiency and fault positioning accuracy, and the fire-fighting pipe network inspection management system comprises a multi-dimensional model data integration unit which is used for building a BIM platform model and expanding a CIM platform; the real-time monitoring and dynamic updating unit is used for acquiring operation data in real time and transmitting the operation data to the BIM / CIM platform, and realizing synchronous updating of a physical pipe network state and a digital model and model parameter adjustment; the intelligent analysis and decision support unit is used for fire-fighting pipe network fault diagnosis and prediction; and the visualization and collaborative management unit is used for displaying the full view of the pipe network and supporting 360-degree view angle switching, attribute query and simulation drilling. Through integration of BIM and CIM technologies, the system realizes three-dimensional visualization of the fire-fighting pipe network, so that information such as pipe network layout and equipment installation positions is clear at a glance, and the management efficiency and the fault positioning accuracy are greatly improved.

The invention discloses a port logistics carbon emission monitoring system based on the Internet of Things and a computer, and the system comprises a multi-modal data collection and transmission module which carries out the full-amount collection of the multi-dimensional data of equipment, sensors and environment in a port area through a hierarchical heterogeneous communication network; the edge intelligent processing and resource scheduling module is deployed at the local of a port, performs priority dynamic allocation and real-time processing on the acquired data, and uploads aggregated data; the anomaly detection and carbon flow modeling module is used for carrying out anomaly detection based on a space-time diagram neural network and constructing an operation chain carbon flow model integrated with a port production operation system; the digital twinning driven monitoring network optimization module is used for constructing and operating a communication-environment digital twinning model and dynamically optimizing the layout of the monitoring network; the accounting decision and intelligent optimization module is used for performing carbon footprint tracing based on a task-level accounting unit and generating a low-carbon optimization strategy; and the visualization and user interaction module is used for providing a visualization display and decision support interface of the carbon emission data.

The invention provides a damage monitoring auxiliary system based on self-sensing concrete, which relates to the technical field of concrete damage monitoring and comprises a self-sensing concrete hardware module, a data acquisition and processing module, an environment compensation and correction module, a data decoupling module and a data analysis and prediction module. According to the invention, the layout of the sensing network is optimized, a high-density microelectrode grid is pre-embedded in self-sensing concrete, the microelectrodes can not only increase signal acquisition points, but also effectively reduce the problem of signal attenuation, and at the same time, the electromagnetic suppression sub-module is matched, so that the resistance to local electromagnetic interference is enhanced, and the self-sensing performance of the sensor is improved. Even in a complex construction environment, good signal stability can still be kept, so that high-precision and high-robustness damage monitoring is realized by optimizing the layout of the sensing network, enhancing the anti-electromagnetic interference capability, establishing a temperature and humidity compensation model and combining an intelligent signal processing algorithm; therefore, the monitoring efficiency and the engineering applicability of the self-sensing concrete in a complex environment are improved.

The invention provides an electrical automation system fault prediction method based on big data analysis. The method comprises the steps of sensor network layout planning, data acquisition, data transmission, data preprocessing, feature extraction, fault prediction model construction, real-time prediction and fault early warning. According to the method, the problems that an equipment fault diagnosis method in an existing electrical automation system cannot realize omnibearing real-time monitoring through manual inspection, potential faults are difficult to perceive based on threshold judgment, troubleshooting and positioning consume long time and the like can be solved, early warning of the equipment fault is realized through a method based on big data analysis, and the fault diagnosis efficiency is improved. Stable and reliable operation of an electrical automation system is guaranteed, and the strict requirement of modern industry for intelligent management of equipment is met.

The present invention is applicable to the technical field of airport transfer hub capacity assessment and provides a multi-scale airport network flight transfer comprehensive index calculation method, which includes the following steps: data preparation, including airport network layout, airport layout, flight schedule, and transfer flight demand; calculation of the transfer flight proportion, feasible transfer number, average transfer waiting time, and transfer success rate of each airport; calculation of the average transfer flight proportion, average feasible transfer number, average transfer waiting time, and average transfer success rate of all airports and regions; calculation of the industry level of transfer flight proportion, feasible transfer number, average transfer waiting time, and transfer success rate of each airport and region; and calculation of the flight transfer index of each airport and region. The present invention can be used to dynamically evaluate the spatial distribution of flight time resource transfer supply and demand and its rationality, thereby providing data support for the rational planning and adjustment of flight time resources.

The invention discloses a logistics network layout method for electric power emergency material dispatching, and the method can optimize the layout of emergency materials through constructing a network layout model, can make a timely response more quickly when a sudden fault occurs in an electric power system, and guarantees the recovery of the electric power system as soon as possible. Moreover, the time and cost of material distribution are comprehensively considered, so that the cost can be reduced as much as possible while the emergency materials of the power system meet the requirements. According to the method disclosed by the invention, a data-driven emergency logistics network basic model is constructed by combining the current situation of emergency management of a power system and taking the maximization of the emergency service level as a target. According to the method, social benefits are created in the field of electric power emergency, an existing electric power system emergency management method is improved, influences and losses are reduced to the maximum extent, the efficiency and flexibility of emergency material dispatching in an electric power system are further improved, and the emergency response cost is effectively controlled.

The invention discloses a salinized frozen soil roadbed multi-parameter coupling monitoring method, and relates to the field of salinized frozen soil area roadbed monitoring, and the method comprises the steps: executing field investigation and demand analysis, outputting a field investigation and monitoring demand analysis report, executing a sensor network intelligent dynamic topology design, and outputting an intelligent dynamic sensor network layout detailed drawing. According to an intelligent dynamic sensor network layout detailed drawing, sensor preparation, verification and drilling channel construction are executed, and drilling holes and channels are output; cooperative arrangement, installation and fixation of a multi-parameter sensor are executed, an on-site sensing network is output, cables are led out and connected to an integrated data acquisition box in a tandem mode, cable tandem is executed, system integration and acquisition box installation and debugging are carried out, and an integrated on-site monitoring station is output. According to the method, the ultimate targets of comprehensive, synchronous and accurate monitoring and intelligent early warning of the roadbed water-salt-thermal coupling migration process are achieved, and the fundamental problems of data splitting and analysis lagging of a traditional method are effectively solved.

This invention discloses a method for extracting the equivalent permeability of multi-stage seepage paths in a pore network, comprising the following steps: S1, binarizing the images captured by the experimental testing equipment, executing the pore numbering module L to obtain pore regions with different numbers; S2, executing the directed graph generation module B to generate a directed connectivity matrix C. B S3. Execute the path search module W, using continuous repeatability as a constraint during path search. S4. Execute the penetration rate equivalence module P to determine the experimental calibration coefficient C. E By confirming the magnitude of seepage resistance and the range of equivalent permeability for each path, this invention can quickly solve key issues such as the applicable range of permeability and multi-layer fluid distribution for fluid transport (such as geologically sealed CO2 and displacement fluids for reservoir development) in heterogeneous geological bodies. It provides important guidance and support for the formulation of schemes such as well location / well network layout, layer combination, and quantification of recovery / storage volume for reservoir development or CO2 geological storage.

This application provides a method and system for optimizing the layout of hydrogen refueling networks based on big data, relating to the field of hydrogen refueling station planning technology. This application acquires the vehicle-end driving trajectory of hydrogen fuel cell vehicles, the hydrogen pressure reduction at the vehicle end, and the hydrogen production rate of local hydrogen production plants to calculate the node hydrogen consumption equivalent for each road segment node; performs road segment blocking operations on the physical road network according to hazardous chemical prohibition rules to generate a hydrogen transportation road network; takes the local hydrogen production plant as the starting node, performs capacity attenuation calculations outward along the hydrogen transportation road network based on the plant's hydrogen production rate, and outputs the node hydrogen supply equivalent for each road segment node; spatially superimposes and cancels the node hydrogen consumption equivalent with the node hydrogen supply equivalent, locks the target road segment node that meets the first preset condition, performs spatial correction, and outputs the station deployment coordinates. This invention can automatically generate hydrogen refueling station site selection coordinates based on the spatiotemporal matching relationship between actual vehicle-end hydrogen consumption and local hydrogen supply, improving the rationality and operational efficiency of the hydrogen refueling network layout.

The invention discloses a communication coverage method and device for rail transit, and relates to the technical field of rail transit communication, and the method comprises the steps: constructing a coverage device, designing an initial base station distribution scheme according to the geographic characteristics and historical communication data of a rail transit line, the communication base station control end, the vehicle-mounted communication module, the communication signal monitoring module and the environment coverage simulation module are arranged, a perfect communication coverage device is constructed, and the communication coverage device is constructed by means of dynamic adjustment of the base station, vehicle path planning, real-time monitoring, environment factor simulation and the like. According to the technical scheme, working personnel are helped to monitor and evaluate the operation state, the signal quality and the network load of the base station, decision basis is provided, network layout and operation strategies are further optimized, communication data of rail transit and corresponding analysis results are managed, visualized and stored, and the working efficiency is improved. Communication coverage management of the rail transit can be realized through cloud management and control of the internet of things, and the intelligent level of communication coverage management of the rail transit is improved.

The application provides a method for obtaining power network layout based on directed acyclic graph topology unfolding, comprising the following steps: step 1, separating unconnected components; step 2, adding a virtual node before each source end, and adding the out-degree of the virtual node to the source end to form a directed acyclic graph with a single starting point; step 3, determining the node serial number, and rearranging the node out-degree according to the node serial number; step 4, performing topology sorting on the directed acyclic graph to obtain a topology sorting list; and step 5, obtaining the layout from the topology sorting. The application introduces a deep analysis method based on directed acyclic graph topology, and innovatively adjusts the out-degree of the directed acyclic graph to generate an optimized topology sorting.

The invention relates to the technical field of warehouse logistics optimization, in particular to a finished cigarette warehouse network layout optimization method and system based on multi-model collaboration. According to the finished cigarette warehouse network layout optimization method based on multi-model collaboration, basic information, transportation data and production plan data of each warehouse are collected and preprocessed; designing a slack season conventional delivery mode and a zero delivery mode; a weekly plan-based warehouse transfer model, a storage-sales ratio-based warehouse transfer model, a safe inventory-based warehouse transfer model and a warehouse capacity early-warning warehouse transfer model are constructed, and an intelligent warehouse selection model and a warehouse transfer scheduling model are autonomously switched and cooperatively used, so that comprehensive optimization of the finished cigarette warehouse network layout is realized. According to the finished cigarette warehouse network layout optimization method and system based on multi-model collaboration, the intelligent warehouse selection model and the warehouse transfer scheduling model are cooperatively used according to different business scenes and requirements, and comprehensive optimization of multiple factors such as logistics cost, delivery efficiency and inventory availability is achieved.

The application discloses a composite chain mountain disaster monitoring network layout method and device and a storage medium, and the method comprises the following steps: acquiring target area geological environment data; calculating the height of a weather radar equipment site; calculating the site position of a ground rainfall station; dividing the monitoring river basin into functional areas to obtain a mountain disaster monitoring functional area, wherein the mountain disaster monitoring functional area comprises a starting area, a transformation and flow area and a deposition area; according to the disaster characteristics of the starting area, the position of the starting area monitoring equipment in the starting area is calculated; according to the disaster characteristics of the transformation and flow area, the position of the transformation and flow area monitoring equipment in the transformation and flow area is calculated; according to the disaster characteristics of the deposition area, the position of the deposition area monitoring equipment in the deposition area is calculated; and the target mountain is subjected to network layout to obtain a monitoring network layout result. The application realizes the monitoring network layout, improves the monitoring accuracy and the overall layout. The application can be applied to the technical field of geological disaster monitoring.

Embodiments of the present disclosure provide a weather station network layout evaluation and design method and system integrating multi-source observation requirements. The method is applied to the technical field of weather observation station network layout design, and includes five steps of requirement matching, efficiency evaluation, simulation optimization, layout decision and closed-loop feedback. In this way, the present application realizes efficient visual display by integrating multi-source observation requirements, constructing a comprehensive data management system and constructing multi-dimensional station network evaluation and design algorithms, and significantly improves the overall efficiency of weather station network data management and application.

The present invention discloses a well network layout structure and drainage control method for the development of high-steep coal seams, including an integrated well platform and a horizontal well group, including a plurality of wellheads concentrated in the same area in the high-steep coal seam area, the horizontal well group including at least three horizontal wells spaced apart along the inclination direction of the coal seam, the horizontal sections of the horizontal wells being arranged along the direction of the coal seam, and the hydraulic fractures generated by the horizontal wells developing within the coal seam along the inclination direction of the coal seam, each horizontal well being matched with a wellhead, the present invention distributes the setting positions of the horizontal wells at intervals according to the inclination direction of the coal seam, and enables the hydraulic fractures generated by the horizontal wells to develop along the inclination direction of the coal seam, thereby achieving the maximum degree of transformation of the coal seam and improving production capacity, and the adopted drainage control method can reduce the replacement frequency of drainage pipe strings, reduce drainage costs, ensure the stability of the production system, and improve the comprehensive development effect.

The present application belongs to the field of pipe network leakage positioning, and in particular to a water pipe network leakage detection and positioning device and method based on a cascade topology structure. Through cascade monitoring node layout, multi-sensor fusion collection and water balance algorithm, the problems of poor positioning accuracy, response lag, weak anti-interference ability and insufficient adaptability of the prior art are completely solved, early identification and accurate positioning of small leakage are realized, the positioning error is controlled within a preset threshold, the false alarm and false report rates are significantly reduced, and the cascade pipe network layout under different working conditions and different scenes is adapted, thereby filling the gap in the special detection and positioning technology for cascade topology pipe networks and improving the technical level in the field of water pipe network leakage detection.

The invention discloses a method and a system for dynamically generating a rainstorm disaster alarm based on a grid actual condition. The method comprises the following steps: collecting site observation rainfall data, grid actual rainfall data, radar data, geographical environment data and rainstorm disaster alarm events in a preset time period; performing deviation analysis and correction on the grid real-time rainfall data by using the site observation rainfall data, and calculating a grid rainfall storm disaster alarm threshold according to the corrected grid real-time rainfall data and the site observation rainfall storm disaster alarm threshold; constructing a training data set, and performing training optimization on the rainstorm disaster alarm model by using the training data set; and carrying out red and orange rainstorm disaster alarm on villages, towns and cities based on the trained and optimized rainstorm disaster alarm model. According to the method, the defects of observation station network layout can be made up, effective monitoring of the rainstorm disaster in a station-free area is realized, and the accuracy, the spatial resolution and the disaster prevention applicability of rainstorm disaster risk early warning are remarkably improved.

The present application relates to the technical field of marine environment monitoring, in particular to a kind of network layout design method for exchange area sea environment observation of submarine and buoy, comprising: the core channel coordinate set of Indonesian through flow is extracted by multi-scale process identification algorithm, the spatiotemporal distribution matrix of Java upwelling intensity and monsoon influence weight coefficient;Based on observation platform adaptation model, typical marine process characteristic parameters are matched with sensitive sea area operation constraint condition, and platform type combination scheme is generated;Fixed-mobile platform joint data transmission link is constructed, and the topology graph of collaborative observation strategy is output;Using nested observation optimization algorithm, according to the characteristics of core channel area, upwelling area and monsoon influence area, high, medium and low sampling frequency are configured, and multi-resolution nested layout scheme is generated.The present application can realize the unity of spatial partition refinement, platform configuration collaboration and data acquisition high adaptability, and significantly improve the coverage integrity of Indo-Pacific exchange area sea environment observation network.