31 results about "Regional planning" patented technology

The invention relates to a new energy development regional planning method based on a digital twinborn technology. The method comprises the following steps: collecting regional multi-source data, and constructing a regional information model based on the digital twinborn technology; collecting regional power grid data and constructing a new energy development capability capacity constraint based on the regional power grid data; forest data of a surrounding area of the area is collected and superposed with three-area three-line vector data of the territorial space to generate a new energy development avoidance constraint; after the new energy development avoidance constraint acts on the regional information model, constructing a new energy development region through the constrained regional information model, and performing building available surface evaluation on the constructed new energy development region to obtain an evaluated new energy development region; and setting the equipment capacity in each evaluated new energy development area based on the new energy development capability capacity constraint.

The invention discloses a sky path planning design method and system based on an artificial intelligence algorithm, and relates to the technical field of unmanned aerial vehicles, and the technical scheme is characterized by comprising the following steps: obtaining environment data of a flight area of an unmanned aerial vehicle, and obtaining environment condition data of the flight area according to the environment data; setting a sub-planning area of the unmanned aerial vehicle according to the environmental condition data, and setting a planning parameter and a planning weight corresponding to the sub-planning area; real-time monitoring parameters of the sub-planning areas are collected, and sub-area planning coefficients of the sub-planning areas are obtained according to the real-time monitoring parameters, the planning parameters and the planning weights; performing comparative analysis on the sub-region planning coefficient and a preset planning coefficient threshold to obtain a first high-risk sub-planning region; obtaining a first high-risk area factor corresponding to the first high-risk sub-planning area; and obtaining the influence area factor of the first high-risk area factor according to the area correlation model, so that the unmanned aerial vehicle can actively avoid the path during planning, and is prevented from falling into a high-risk environment.

The invention discloses a household robot article searching method and system based on a multi-source pre-built map, and the method comprises the following steps: S1, controlling a household robot to move in a household scene through employing an autonomous synchronous positioning and mapping technology, obtaining environment data obtained by a multi-source sensor carried by the household robot, and storing the environment data in a database; constructing an environment map fusing the ground occupation information and the overlook visual information, wherein the environment map is used as a multi-source pre-established map for subsequent article search; s2, calculating three types of scores of each landmark in the home scene; calculating the comprehensive score of each landmark according to the three types of scores of each landmark, and selecting the first K landmarks with the highest comprehensive score to construct an associated landmark set; and S3, in combination with the multi-source pre-established map and the associated landmark set, constructing a high-low layer collaborative target exploration mechanism, and realizing layer-by-layer reasoning from region planning to action execution. According to the method, the semantic reasoning result is accurately sent to the ground, the actual navigation behavior is driven, and the accuracy of target positioning and the efficiency of path planning are improved.

The application relates to a smart city-based urban planning decision feasibility analysis system, aiming to solve the problems of experience dominance, static solidification, appeal imbalance and technology isolation in traditional urban planning. The system includes four modules: data collection, algorithm processing, decision output and dynamic optimization. The data collection module dynamically collects urban basic space, dynamic monitoring, industry and livelihood data and completes preprocessing; the algorithm processing module realizes spatial structure quantization, resource allocation optimization, planning risk assessment and dynamic feasibility prediction; the decision output module generates a planning scheme containing land use layout, energy configuration and public service facility distribution parameters; the dynamic optimization module updates and threshold triggering mechanism, iteratively adjusts the planning scheme. The system is suitable for new area planning and stock area renovation scenarios, realizes the transformation of planning decision, and improves the scientificity and landing effect of planning decision.

The application relates to the technical field of municipal engineering inspection, and discloses a method and system for unmanned aerial vehicle (UAV) inspection applied to municipal engineering. The method comprises the following steps: determining a first inspection priority of a target municipal management area based on the facility importance degree and spatial dependence relationship of each grid unit of the target municipal management area; in response to a first inspection instruction, controlling different slave groups in a UAV formation to sequentially inspect each grid unit according to the first inspection priority to obtain first municipal inspection data; and in response to a second inspection instruction, controlling the different slave groups in the UAV formation to sequentially conduct secondary inspection on each grid unit according to a pre-set second inspection priority to obtain second municipal inspection data. The application realizes full-process optimization from regional planning to local fine operation, and significantly improves the accuracy and efficiency of municipal engineering inspection.

The invention discloses a land value evaluation method and device based on a deep convolutional neural network, and the method comprises the steps: building a land value evaluation index system of a target region, building a network analytic hierarchy model, carrying out the sensitivity analysis of the land value evaluation index system, obtaining an impact factor weight matrix corresponding to the land value evaluation index system, and obtaining an impact factor weight matrix; and taking the influence factor weight matrix corresponding to the historical land value index evaluation index system of the target area as an input parameter, taking the historical land value index of the target area as an output parameter, and training the deep convolutional neural network to obtain a land value evaluation model. And obtaining an influence factor weight matrix corresponding to the land value evaluation index system of the target area planning, and evaluating the land value index of the target area planning based on the land value evaluation model. The method is suitable for the situation that the house price and land price samples are few, the correlation between the land value and the evaluation index can be accurately and adaptively constructed, and the land value is updated.

The invention relates to the technical field of regional planning, in particular to a regional planning method based on grid calculation and multi-objective optimization. According to the method, the target area is recursively divided into the multi-level grid units, the unique space-time identifier is allocated, the static attribute data and the dynamic attribute data are stored, and data are provided for planning of the target area. Taking the processed dynamic attribute data and the processed static attribute data as full-amount input data, and inputting the full-amount input data into a multi-objective optimization model consisting of an economic benefit objective function, an ecological bearing capacity objective function, a traffic capacity objective function and a social satisfaction objective function; and carrying out optimization solution on the multi-objective optimization model by adopting an improved multi-objective optimization algorithm, and outputting a planning scheme of all grid units, thereby realizing accurate planning on target areas such as ports, cities, bases and the like.

The application relates to the technical field of downhole electronic fences, and particularly discloses a downhole electronic fence system based on UWB accurate personnel positioning, which comprises a data acquisition module: a modeling unit is used to acquire three-dimensional information of a coal mine underground, and a three-dimensional map is established; a regional planning unit is used to mark a predicted dangerous area in a work cycle on the map; a site selection module is used to extract an edge line of the dangerous area, generate a quasi-square area and an external graph, determine a center position of the external graph, and set an infrared emission point which can rotate by 360 degrees at the center; a fence planning module is used to update the edge line of the dangerous area in real time; a target emission point is determined according to the real-time edge line, an emission angle range is adjusted, infrared rays scan the boundary of the dangerous area back and forth at a preset speed, and UWB technology is used to monitor whether personnel enter the dangerous area and trigger a warning; the system dynamically delimits the dangerous area and gives real-time warnings, and personnel safety is ensured.

The invention relates to the technical field of carbon capture, utilization and storage in industrial data processing, and discloses a regional CCUS planning method and system under carbon flow real-time monitoring. According to the method, high-priority monitoring points are scientifically screened through K-means clustering, and the problem of unreasonable layout of monitoring points in a wide region is solved; through space-time cooperative calibration, time sequence completion and efficient network structure construction, efficient transmission and integration of multi-source carbon flow data are realized, and the data acquisition accuracy is improved; and predicting a carbon flow trend and positioning a potential risk area based on a long-short-term memory network model, optimizing a planning path in combination with a genetic algorithm, generating a precise planning adjustment instruction, and finally implementing the optimization path. According to the method, the core technical problems of unscientific layout of monitoring points in a wide area, low data transmission integration efficiency and insufficient planning optimization accuracy are solved in a targeted manner, closed-loop optimization of carbon flow dynamic monitoring and CCUS planning is realized, and technical support is provided for improving the regional carbon management level and guaranteeing efficient implementation of a carbon capture utilization and storage process.

The application provides a non-working air conditioner multi-connected intelligent regulation and control system and method based on Internet of Things technology. The method comprises the following steps: obtaining a regional top view, determining a first extension edge and a second extension edge; obtaining the demand attributes of each demand end; dividing each demand end corresponding to the same fixed temperature interval into the same temperature demand group, and arranging in sequence; determining the original terminal proportion of each temperature demand group, splitting the demand sequence to obtain a first sub-sequence and a second sub-sequence; updating the proportion of each temperature demand group located in the same sub-sequence, distributing the first sub-sequence and the second sub-sequence based on the current terminal proportion to the first extension edge and the second extension edge to obtain a first fixed value region sequence and a second fixed value region sequence; determining the allocation region located between the first fixed value region sequence and the second fixed value region sequence, and distributing each demand end with an allocation attribute to the allocation region. The application at least improves the regional planning efficiency.

The utility model belongs to the technical field of space planning models, and particularly relates to a territorial space planning model which comprises a model frame body, a plurality of area planning sand tables are arranged in the model frame body, every two area planning sand tables are arranged in a mutually attached mode, and a plurality of bottom matching assemblies are arranged at the bottom of the model frame body. The bottom matching assembly comprises a positioning bottom frame and a relative ejection bottom plate, and the relative ejection bottom plate is used for being in sliding connection with the positioning bottom frame; every two area planning sand tables are arranged in a mutually attached mode, the multiple area planning sand tables form a flat area, the surface of each area planning sand table is provided with a pattern used for displaying planning, and therefore space planning can be facilitated, and if a model sample at the area position needs to be replaced, a relative ejection bottom plate can be pulled out, and the area planning sand tables can be conveniently replaced. And the ejection rods are inserted into the corresponding insertion holes, and then the relative ejection bottom plate is reset and moves upwards, so that the required area planning sand table is ejected out, and the model display effect is improved.

The invention discloses a regional planning optimization method based on a geographic information system. The method comprises the steps of regional data collection, primary data processing, potential evaluation model construction, planning optimization algorithm design and regional planning optimization. According to the invention, original data is obtained through data acquisition; a data primary processing method of GIS space registration, multi-modal feature extraction, feature cause and effect graph construction, functional unit graph construction and data set segmentation is adopted; a method for planning optimization based on functional potential evaluation is adopted, the functional potential of each unit is accurately grasped through potential evaluation, and accurate input is provided for subsequent optimization; an improved graph neural network model is adopted as a potential evaluation model, and the degree of suitability of each unit to different functions is accurately evaluated by capturing a causal relationship and geographic heterogeneity among space units; and a self-adaptive optimization algorithm is adopted for planning optimization, so that the scientificity and the practicability of a planning scheme are improved.

The invention discloses a multi-element energy storage operation method, system, equipment and medium comprehensively considering new energy consumption and power supply insurance, and relates to the technical field of new energy consumption and power supply insurance, and the method comprises the specific steps: obtaining the basic data of a planning year of a planning region of a power system; performing power production simulation through power production simulation software to obtain power system operation data; dividing a multi-element energy storage charging and discharging operation period through logical operation; and executing a multi-element energy storage primary charging and discharging strategy and a cross-period multi-element energy storage secondary charging and discharging strategy in the period to output a year-round energy storage operation plan. The method has high adaptability, can be flexibly adjusted based on power structures, load characteristics and multi-element energy storage parameters of different planning areas, can be widely applied to various scenes of novel power system construction, and particularly has important significance in improving the new energy consumption level and guaranteeing continuous and stable power supply.

The invention discloses a GIS-based riverway ecological protection-flood control cooperative buffer area demarcation method, system and device and a medium, and belongs to the technical field of geographic information systems, and the method comprises the steps: collecting various types of remote sensing satellite data of a riverway peripheral area to construct a remote sensing data set; performing radiation calibration, geometric correction and atmospheric correction preprocessing based on the remote sensing data set to obtain preprocessed data; performing waveband synthesis, cutting and inlaying operation based on the preprocessed data to extract the boundary and range of the peripheral region of the river channel; based on the extracted riverway peripheral region boundary and range fusion remote sensing image and in combination with basic geographic information, ecological sensitivity analysis is carried out to quantify the ecological protection value of the riverway peripheral region, and an ecological sensitivity index is obtained. According to the method, the high-quality data set is constructed through the multi-source remote sensing image, the riverway boundary is extracted, ecological sensitivity analysis and flood simulation are combined, ecological and flood risk indexes are generated, a visual demarcation result is output, and an objective basis is provided for regional planning.

The invention relates to the technical field of engineering document management, in particular to a geographic information engineering document automatic retrieval and display method and related equipment, which have the following core functions: extracting three elements of engineering codes, names and geographic positions by a regular expression; calling a geocoding service to obtain accurate longitude and latitude; an interactive map is generated, engineering codes and names are matched according to longitude and latitude, and detail checking through clicking is supported; and finally outputting a visual map file containing project distribution, and storing the visual map file in an HTML format. The whole process realizes full-automatic processing, and the engineering information management efficiency is effectively improved. The scheme is suitable for engineering file management, regional planning analysis and other scenes, supports self-definition of map styles and marking styles, and meets diversified visualization requirements.

The invention relates to an urban land planning analysis method and device, equipment and a medium. The method comprises the following steps: acquiring remote sensing data, wind power data and water conservancy data of a planning area; the wind power data is used for representing wind speed information, wind direction information and wind frequency information of the planning area; the water conservancy data comprises elevation data, water system vector data and surface runoff coefficient data; dividing the function type of each coordinate point in the planning area based on the remote sensing data and the elevation data, and aggregating the coordinate points with the same function based on the function type to obtain each initially divided function area; obtaining an initial region planning scheme based on each initial division function region; based on the initial region planning scheme, fusing the wind power data and the water conservancy data, and extracting propagation features of the planning region to obtain propagation feature vectors; and adjusting the initial region planning scheme based on the propagation feature vector to obtain a region planning scheme. By adopting the method, the scientificity and practicability of a land planning result can be improved.

The invention relates to the technical field of distributed photovoltaic optimization investment decision. The invention relates to a distributed photovoltaic double-layer collaborative optimization investment decision-making method for a power distribution network. The method comprises the following steps: S1, taking the lowest investment cost and meeting the photovoltaic power demand as double targets, and obtaining the total area of the power distribution demand; s2, collecting a sunlight irradiation value of the total area; according to the method, dynamic balance and accurate landing of double-layer targets are achieved, the double targets penetrate through the whole process of sub-region planning, supply and demand matching and cost accounting, it is ensured that the photovoltaic power demands of all demand sub-regions are fully covered through multi-dimensional screening and quantitative calculation, the problem of power supply gaps is avoided, and the power supply efficiency is improved. And through refined cost accounting and optimal scheme screening, the equipment purchase, line construction and full life cycle operation and maintenance cost is reduced to the greatest extent, the problem of investment waste or insufficient power supply caused by double target imbalance in the prior art is solved, and the comprehensive benefit of investment decision is improved.

The present application relates to the technical field of distributed photovoltaic optimization investment decision-making, and relates to a distribution network distributed photovoltaic double-layer collaborative optimization investment decision-making method.The method comprises the following steps: S1, taking the lowest investment cost and meeting the photovoltaic power demand as double-layer objectives, and obtaining the total region of power distribution demand; S2, collecting the sunlight irradiation value of the total region.The present application realizes the dynamic balance and accurate landing of double-layer objectives, and through the whole process of double objectives throughout the sub-region planning, supply-demand matching and cost accounting, the photovoltaic power demand of each demand sub-region is ensured to be fully covered through multi-dimensional screening and quantitative calculation, avoiding the power supply gap problem, and through fine cost accounting and optimal scheme screening, the equipment purchase, line construction and whole life cycle operation and maintenance cost are maximally reduced, solving the investment waste or power supply shortage problem caused by double objective imbalance in the prior art, and improving the comprehensive benefit of investment decision-making.

This invention relates to the field of data processing technology, specifically a regional industrial development analysis and evaluation system. The system includes: determining industry index data and regional reference characteristics within a region to be identified; summarizing the industry index data and regional reference characteristics into a multivariate mapping matrix; applying time series analysis to the multivariate mapping matrix to extract the regional time distribution trend of attribute description indicators and determine the distribution proportion of each attribute description indicator under the regional time distribution trend; based on the distribution proportion of each attribute description indicator, sequentially obtaining hierarchical keywords at multiple levels, and assigning values ​​to regional hierarchical indicators according to each level of keywords; constructing a regional development model; solving for industry evaluation indicators based on the derivation mapping relationship between the regional development model and the multivariate mapping matrix; assessing the asset status of each industry according to the industry evaluation indicators; and outputting early warning information according to the asset assessment status of each region. This improves the accuracy of regional planning and the reliability of early warning prompts.

The invention provides an AI auxiliary calibration and recommendation method and system for multi-region planning model parameters, and the method comprises the steps: cross-region knowledge migration and parameter prior recommendation based on meta-learning, data-driven adaptive model parameter optimization based on intelligent optimization, and interpretable modeling and report generation of a calibration process. According to the method, model calibration knowledge can be learned and migrated in a cross-region and cross-project manner through meta-learning, a highly reliable model parameter initial value is intelligently recommended for a new calibration task, automatic, data-driven and process-interpretable parameter optimization is carried out on the basis, a final calibration parameter set is obtained, and an interpretable report is generated; and the model deduction result based on the planning decision is scientific, reliable and reproducible.

The invention provides an urban traffic circle service level analysis and evaluation method and system, and relates to the technical field of intelligent traffic and regional planning, and the method comprises the steps: carrying out the calculation of the shortest highway travel time of each county administrative center in a target region in a peak period and a flat peak period, so as to obtain a highway traffic shortest travel OD matrix, and based on the railway traffic time table data, calculating and generating the shortest railway travel time between every two county administrative centers in the target area to obtain a railway traffic shortest travel OD matrix. Based on the road and railway shortest travel matrix, a traffic travel isochronal circle with the administrative center of each county as the center is formed through spatial interpolation, the traffic isochronal circle area and the population coverage rate are calculated in combination with the geographic space area and permanent population data of each county, and quantitative evaluation analysis of the traffic circle service level is carried out according to the coverage rate. According to the invention, a reliable technical platform is provided for continuously carrying out traffic network dynamic evaluation and planning simulation prediction.

This invention discloses a multi-stage wind and solar power integration method for DC transmission channels. The method involves acquiring DC transmission channel data; establishing models of the DC transmission channel, sending-end grid, and receiving-end grid based on the data; and establishing a decision model for DC transmission channel renewable energy integration. This invention uses surrogate affine approximation technology to solve the model, outputting two-region planning, trading, generation, and transmission dispatch schemes. This invention demonstrates advantages in solving performance indicators and the feasible region of the problem, and also illustrates the effectiveness of the algorithm in assisting renewable energy integration. It can be applied to DC transmission channel planning, the coordinated allocation of sending and receiving end flexibility resources in the operational field, renewable energy integration, renewable energy integration boundary solving, and DC transmission channel (tethering line) power planning, etc.

A location point planning method, comprising: displaying an electronic map on a user interaction interface, the electronic map comprising a to-be-worked area of a movable platform (S101); an auxiliary planning identifier is synchronously displayed on the electronic map along with the cursor, the auxiliary planning identifier synchronously moves in response to the movement of the cursor, and the auxiliary planning identifier is used for providing an indication for a user that whether an abnormal factor which is not suitable for planning the position point exists within a preset range with the cursor as a reference (S102); and after the step S102 is executed, in response to an input operation of the user, generating and marking a position point at a position currently indicated by the cursor (S103). The method can improve the rationality of position point planning.

The invention belongs to the technical field of construction management, and particularly relates to a multi-type pipeline dense district migration and transformation and construction cooperation method and system.The method comprises the steps that pipeline basic data, construction area planning data and pipeline ownership unit feedback information of a multi-type pipeline dense district are obtained, priority grading is conducted in combination with a preset pipeline risk assessment index, and a pipeline risk assessment result is obtained; generating a priority grading result; pipeline basic data, construction area planning data and a priority grading result are superposed to a three-dimensional geographic space, a BIM three-dimensional visual model is constructed, space conflict positions, conflict types and involved ownership units of pipelines and construction areas are marked, and in combination with pipeline ownership information, a relocation-construction cooperation scheme is generated; and according to the real-time data in the execution process, the relocation process and the construction plan are adjusted through a resource matching degree algorithm, the conflict state and the progress node are synchronously updated, and the relocation and construction progress is collaboratively promoted. Therefore, the problems of insufficient transmission efficiency, poor feature expression ability and the like in the prior art are solved.

The application provides a kind of urban design generation auxiliary method and device, including the following steps: step S1, the existing design scheme generation original image-planning image pair of specified designer is collected;Step S2, the multiple urban design form parameters of regional planning image are calculated, and the classification result is obtained by classifying regional original image;Step S3, clustering is carried out according to urban design form parameters and classification result, and multiple design style preferences are obtained;Step S4, the training data set of each design style preference is constructed;Step S5, style design model is obtained by training according to training data set;Step S6, the optimal design style preference is selected;Step S7, the image of the region to be planned is input into the style design model corresponding to the optimal design style preference to obtain the initial design drawing;Step S8, auxiliary design drawing is obtained by multi-objective optimization on the initial design drawing.In short, the method can generate regional planning design drawing with specified designer style preference.

The application belongs to the field of intelligent factory construction and is an intelligent factory modular foundation planning method, comprising the following steps: S1, based on the full life cycle demand of the intelligent factory, multi-dimensional demand modeling is completed, a digital twin foundation framework is constructed, regional planning is designed, and intelligent positioning devices and adaptive connection devices are pre-buried in each foundation; S2, the basic functions are selected, and the matching of the functions and production devices is completed through an AI algorithm; S3, the estimated area of the foundation and the equipment installation distribution map are calculated according to the selected devices, the planning layout and connection mode design are completed, and simulation verification is performed by using the digital twin foundation framework; S4, whether the production land area, connection mode and simulation result meet the standards is judged; S5, the intelligent positioning device is used to guide the automatic splicing of the foundation according to the connection mode, dynamic calibration is completed and is synchronized to the digital twin foundation framework; S6, the full life cycle adaptation verification is completed through the digital twin foundation framework, an operation and maintenance plan is generated, and the planning is completed if the standards are met.

A territorial space planning index conduction feedback method based on a balance pool algorithm comprises the following steps: performing hierarchical analysis on index decomposition conditions and index monitoring conditions of each level, and displaying a decomposition tree of specific indexes from top to bottom; and aiming at the detailed planning result, calculating a target index from a unit or block level through a balance pool algorithm, and further performing judgment and early warning. A balance pool method is adopted, rigid-elastic combination, dynamic balance and monitoring evaluation of index conduction among different levels of plans are achieved, regional index calculation, 'moving with one movement and knowing with one movement 'are achieved through statistics and decomposition of different levels of index data and scientific prediction of the upper limit and the lower limit of the indexes, the conduction implementation condition is fed back in real time, and the real-time performance of the system is improved. Problems in regional planning are effectively handled and predicted, and the planning efficiency and quality are improved. All planning indexes are monitored to keep total balance among all levels, planning overall planning is enhanced, regional balance and dynamic balance are promoted, planning implementation evaluation is enhanced, and a set of scientific planning conduction feedback mechanism is constructed.

The application discloses a land resource optimized utilization system and method based on Internet of Things, relates to the technical field of land resource optimized utilization, and solves the technical problems that the influence of geographical height and wind speed on crops is ignored in the regional optimization of land resources, which further influences the regional optimization, and that the existence of mutual interference of production capacity between the optimized regions is ignored; the application divides intelligent planning regions into a plurality of regulation and control regions, acquires basic data and target data in each regulation and control region, analyzes the basic data and the target data respectively to obtain basic environmental factors and space influence factors of each regulation and control region, inputs the basic environmental factors and the space influence factors into a regional planning model to obtain preliminary planning conditions of each regulation and control region, and adjusts each regulation and control region based on the preliminary planning conditions to obtain final planning conditions, so that the scientificity of planning and the sustainability of regional development can be improved.

The invention relates to a city planning decision feasibility analysis system based on a smart city, and aims to solve the problems of experience leading, static state solidification, appeal imbalance, technology isolation and the like in traditional city planning. The system comprises a data acquisition module, an algorithm processing module, a decision output module and a dynamic optimization module. The data acquisition module dynamically collects urban basic space, dynamic monitoring and industrial and livelihood data and completes preprocessing; the algorithm processing module realizes space structure quantification, resource configuration optimization, planning risk assessment and dynamic feasibility prediction; the decision output module generates a planning scheme including land layout, energy configuration and public service facility distribution parameters; and a module updating and threshold triggering mechanism is dynamically optimized, and a planning scheme is iteratively adjusted. The system is suitable for a new area planning and stock area updating reconstruction scene, realizes transformation of a planning decision, and improves the scientificity and the landing effect of the planning decision.

The embodiment of the invention provides a multi-cloud multi-region data platform construction method and system based on a distributed architecture, and the method and system achieve the precise planning of layout through adaptability analysis and role distribution. And a deployment mechanism is constructed, and a reliable platform architecture strategy is established in combination with mode matching and link planning. Service optimization is introduced, and efficient operation of the platform is ensured through instantiation deployment and channel configuration. According to the method, the defects of the traditional technology in the aspects of regional planning, component deployment, service instantiation and the like are effectively overcome, and a technical guarantee is provided for construction of a multi-cloud multi-regional data platform.