90 results about "Land management" patented technology

The invention relates to the technical field of urban planning, and particularly discloses an urban planning construction land management and control system based on big data, and the system comprises the steps: obtaining geological environment, landform, engineering construction and human activity data through multi-source data collection; multi-source data fusion analysis is adopted to construct a construction land comprehensive evaluation field including geological stability, engineering suitability and environmental bearing capacity; a development suitability partition is generated based on a density peak value spatial clustering method; updating the development suitability level by dynamically monitoring the verification process; according to the method, accurate analysis and early warning of the three-dimensional deformation field are realized, and scientificity and safety of urban planning in a complex geological environment are improved.

The invention discloses a dynamic black land soil nutrient prediction system based on satellite remote sensing and multi-source data fusion, and relates to the field of artificial intelligence, and the system comprises a data collection module which obtains multi-source data of black land soil, including satellite remote sensing data, ground sensor data, meteorological data and historical soil nutrient data; the feature extraction module is used for extracting feature information of soil nutrients; the prediction model module is used for constructing a soil nutrient dynamic prediction model and accurately predicting the soil nutrient dynamic state; the feedback optimization module is used for optimizing and updating the prediction model, continuously improving the performance of the model, improving the prediction precision and obtaining an optimized prediction model; the visualization module is used for visually displaying a prediction result, displaying spatial and temporal distribution of soil nutrients in the form of a map and a chart, and providing strategy support of fertilization suggestions and land management; according to the data storage and management module, a database stores different types of data, efficient query, updating and maintenance of the data are achieved, and the safety of the soil nutrient dynamic data is improved.

The invention provides an after-batch stock land data management method and system. The method comprises the steps of designing an after-batch stock land management database structure, and constructing a land supply data graph layer, a batch land data graph layer, a batch land data graph layer, a batch unsupplied land data graph layer, an overdue working land data graph layer and an idle land data graph layer; collecting multi-source data, performing preprocessing, problem treatment and quality inspection, and generating standardized land supply data and land batch data; constructing a land supply and approval database, and comparing and updating the land supply and approval database with data of a natural resource department system; generating a batch of unsupplied land, an overdue working land and an idle land data graph layer through overlay analysis, and constructing a batch stock land database; automatically updating graph and attribute data based on data such as territorial change investigation and the like; the functions of automatic reminding, land use unit interaction and space query are executed; and carrying out visual rendering and display on the database data, and superposing and displaying the batch stock land and planning and remote sensing image data. According to the invention, the intensive land utilization supervision efficiency can be improved.

The invention relates to the technical field of land treatment, in particular to an organic fertilizer for improving the soil fertility of a sand land. Comprising the following raw materials in parts by weight: 3-12 parts of a microbial agent, 20-50 parts of volcanic rock, 5-12 parts of an additive, 32-45 parts of sodium bentonite, 12-18 parts of a functional agent, 5-25 parts of a modifier and 15-32 parts of a water retention material. By increasing organic matters in the soil, the viscosity of the soil is improved, the air permeability, water retention and permeability of the soil are improved, the formation of a soil aggregate structure is promoted, and the water and fertilizer retention capability of the sand soil is improved.

The invention discloses a mining area fine land identification method based on multi-mode fusion and first inflection point constraint. The method comprises the following steps: step A, downloading a research area satellite remote sensing image, constructing a strip mine area space range sample data set, training a DeepLabv3 + deep learning model, and predicting and delineating the maximum space range of a mining area in a research period; step B, acquiring mining area land utilization change data, constructing a time sequence change mode based on a land utilization type transfer relationship, and dividing the time sequence change mode into five types, namely a damaged area, a reclamation area, a reclamation degradation area, a building pressure occupation area and a water body pressure occupation area; and step C, preparing a mining area fine land utilization sample data set, establishing a multi-mode fusion and first inflection point constraint neural network model (MFFIC-Net), training the model to identify mining area annual fine land utilization types, and accurately tracking first transition time information of each type. Compared with the prior art, the mining area land utilization classification is further refined, the proposed MFFIC-Net model fuses long and short term memory and a feedback mechanism, and accurate identification of the land utilization type and the first change time is realized. A feedback mechanism enables the model to self-adjust a prediction result, the precision and the stability are improved, and multi-mode fusion enhances the adaptability of the model to a complex mining area environment. The mining area land utilization identification method provided by the invention is finer and more practical, can effectively identify key areas such as a damaged area, a reclamation area and an occupation area, and provides important technical support for ecological restoration and land management.

The invention relates to the technical field of soil remediation and saline-alkali soil treatment, and discloses a nano-carbon-based slow-release saline-alkali soil conditioner and a gradient controlled release method thereof.The formula comprises a layered nano-carbon matrix, a humic acid intercalation compound, a pH response type cross-linking agent, a calcium ion modifier and a phosphate radical modifier; the method comprises the following steps: constructing a self-regulation repair system for synchronously optimizing salt reduction, nutrient supply and ion balance through a three-dimensional synergistic mechanism of pH response type sodium ion targeted adsorption, microbial activity driven nutrient controlled release and calcium-sodium dynamic replacement. A nano carbon-humic acid layered composite structure is used for synergic desalination and slow-release fertilizer supply, a Ca < 2 + >-PO4 < 3-> gradient ion replacement system is combined for synchronous salt reduction and structure fixation, a pH response coating technology is used for realizing accurate release of nutrients triggered by microbial activity, and a three-dimensional interpenetrating network and graded pores are used for guaranteeing the long-acting stability of the material. And finally, multiple repairing functions are integrated into a single material.

The invention discloses a target area low-efficiency land extraction method and system based on multi-source big data, and belongs to the field of land management.The extraction method comprises the following specific steps that P1, data are collected from multiple sets of data sources in real time, all kinds of collected multi-source data are preprocessed, and then feature information of all kinds of preprocessed multi-source data is extracted; p2, based on the extracted various feature information, establishing a land use characterization matrix, and according to the established land use characterization matrix, establishing a low-efficiency land use discrimination model; according to the method, the land utilization condition can be depicted from multiple angles, the recognition accuracy and the feature extraction accuracy are improved, meanwhile, the low-efficiency land use recognition accuracy is improved, the terminal calculation cost is reduced, real-time updating and optimization are achieved, and the method can meet the land management requirements of different regions and cities.

The invention relates to the technical field of land management and carbon circulation, and discloses a soil organic carbon estimation method based on a random forest and a lightweight gradient elevator. Soil organic carbon estimation is used as an entry point of carbon balance treatment and climate regulation, multiple machine learning model technologies are integrated, influence factors of soil data are mined and analyzed, and a soil organic carbon estimation model set is constructed and evaluated and analyzed, so that the soil organic carbon is estimated. A set of space-time adaptability model evaluation technical method integrating multi-source data and incorporating climatic factors is innovatively developed. According to the method provided by the invention, the generalization ability and the stability of the machine learning evaluation model are optimized, so that the precision and the efficiency of soil organic carbon estimation are improved, and a more accurate and efficient application method is provided for soil organic carbon estimation under different regions and environment conditions.

The invention provides a land full-life-cycle management knowledge graph construction and reasoning method, which comprises the following steps of: designing a mode layer of a land full-life-cycle management knowledge graph, and defining entities and relation expressions of the knowledge graph by utilizing the mode layer; carding related data into an entity and relation expression form, and constructing a land full life cycle management knowledge graph; and designing a business reasoning process based on the land full-life-cycle management knowledge graph according to an entity and relationship expression form, obtaining a reasoning result, constructing mode matching and rules, and explaining and optimizing the reasoning result in combination with context information in the land full-life-cycle management knowledge graph. According to the method, analysis and reasoning based on the knowledge graph can be provided for a user, the user is helped to make a more scientific land management decision in a changeable environment, and the value and utility of the knowledge graph in an actual scene are greatly improved.

The invention discloses a facility agriculture land use system, and relates to the technical field of facility agriculture land use, and the system comprises a vector data processing unit which generates an initial pattern spot data set with a coincidence degree identifier; the field intelligent proof unit is used for generating a proof data packet with a unique file number; the third-level joint review unit is used for performing third-level review; the structured achievement management unit is used for establishing an associated index and a structured database; and the cross-module data pushing unit is used for outputting an audit completion voucher and realizing a data closed loop. According to the method, a systematic architecture of vector data processing, field intelligent proof, three-level joint review, structured achievement management and cross-module data pushing is constructed, pattern spot extraction, proof verification and trend analysis intelligentization are achieved through an AI algorithm, a typed template, layered review and an automatic pushing mechanism are used, and the system and the method are suitable for large-scale popularization and application. The problems that traditional facility agriculture land management is scattered in data, split in process and low in efficiency are solved, and a traceable integrated management closed loop is formed.

The invention relates to the technical field of land measurement, and provides a land resource land management measuring device which comprises two mounting boxes and a fixing frame, positioning marking assemblies are mounted in the two mounting boxes, sleeves are welded and fixed to the top end faces of the mounting boxes, adjusting rods are slidably connected in the sleeves, and the adjusting rods are movably connected with the fixing frame. A laser range finder is fixed in the fixing frame through bolts, a laser transmitter and a laser receiver are mounted on the laser range finder, a folding protection assembly is mounted in the fixing frame, the positioning marking assembly comprises a storage box and a connecting cylinder, a guide groove is formed in the side end of the connecting cylinder, and a positioning mark is mounted in the guide groove. A center rod and a supporting rod are welded and fixed to the bottom end of the connecting cylinder, a sliding block is hinged to the bottom end of the supporting rod, and the sliding block is slidably connected to the top of the pressing plate in a limited mode. By means of the technical scheme, the problem that in the prior art, a land measurement device cannot conduct automatic and stable fixed-point marking work on the measurement starting point and the measurement end point is solved.

The invention relates to the technical field of soil improvement and ecological restoration, and discloses an ultra-stable mineralization in-situ salt fixation method for improvement of saline-alkali soil in an arid region and application of the ultra-stable mineralization in-situ salt fixation method. The invention provides a method for improving northwest inland saline-alkali soil based on combination of an ultra-stable mineralized in-situ salt-fixing soil conditioner, precise partitioning, biological improvement and salt-tolerant plant planting. According to the method, a salt elimination foundation is created through physical soil preparation, firstly, the soil alkalization degree and the salt content are rapidly reduced through an ultra-stable mineralization in-situ salt fixation soil conditioner, the physical structure of the soil is improved, and then rapid salt elimination and alkali inhibition, fertility cultivation and ecological reconstruction of the saline-alkali soil are finally achieved by constructing different plant planting modes and establishing a stable vegetation system. And a sustainable saline-alkali soil comprehensive treatment mode with good effect and low cost is formed.

The invention discloses a method for evaluating the composite obstacle degree of southern red and yellow soil degraded soil and application. By constructing the southern red and yellow soil composite obstacle index, systematic quantitative evaluation of acid, thin, plate and sticky main soil obstacles is achieved, and the limitation of a traditional single index and a subjective weighting method is broken through. The method is driven by large-scale soil data and has scientificity, objectivity and generalizability. The southern red and yellow soil degraded soil compound obstacle index provided by the invention can reveal dominant obstacle factors formed by compound obstacles, can support agricultural production and land management, and has important significance for soil obstacle diagnosis and agricultural improvement.

The invention relates to the cross technical field of land resource management and information technology, in particular to a land management system and method based on a GIS system and big data analysis, and the system comprises a data layer, a support layer and an application layer. The data layer comprises a multi-source data collection module and a GIS spatial database; the support layer comprises a big data processing engine, a GIS analysis tool set and a machine learning modeling platform, the application layer comprises an intelligent supervision module, a planning auxiliary module and a decision support module, and the system is suitable for intelligent management and decision support of land resource investigation, planning, protection and development of a full life cycle.

The application discloses a kind of based on unmanned aerial vehicle auxiliary land type identification management method and system, it is related to land type identification technical field, including through unmanned aerial vehicle collection land remote sensing image, and processing and feature extraction, strengthen the land type features in image;Land type identification model is constructed, land type identification standard is set, input is according to the land type feature image after strengthening training and analysis, obtain land type identification result;The identification result is rechecked and corrected, according to the land type after correction is authenticated and managed.The application obtains high-resolution ground surface image using unmanned aerial vehicle, can clearly show the detailed features of ground surface, improve identification accuracy, can obtain image at any time and is not affected by factors such as cloud cover, night lighting etc.Improve identification precision, ensure the accuracy of identification result, help land management and planning, have important application value for disaster emergency, environmental protection and other tasks.

This invention presents 8 groundbreaking technique utilizing nano-zeolite, sourced from natural zeolite, natural kaolin, and water treatment sludge, to effectively remediate degraded or acidic soils. Acidic soils pose significant challenges to agricultural productivity, hindering crop growth and nutrient availabili The application of nanozeolite addresses these issues by reducing soil acidity, which fosters a more favorable pH environment for plant development. Additionally, nano-zeolite enhances nutrient retention, ensuring that essential minerals remain accessible to crops. ዘ5 porous structure facilitates improved water retention and aeration, further promoting soil health. This innovative approach not only revitalizes degraded lands but also aligns with sustainable agricultural practices, reducing the reliance on chemical fertilizers and contributing to environmental conservation. By transforming waste materials into a valuable resource, this invention offers a practical solution to soil degradation challenges faced by farmers and land managers.

The present invention provides a digital simulation method for village and town settlements based on cellular automata. First, basic data on village and town settlement development is collected, cleaned, and refined. The decisions and behaviors of various stakeholders are dynamically captured through a multi-agent system and incorporated into a preliminary analysis. These basic data and analysis results are input into a cellular automaton based on machine learning, and ultimately the transformation rules of the cellular automaton are learned. Cell states are iteratively updated according to these rules to simulate and record land behavior changes over time. The land use conversion probability of each cell is calculated, and land use change trends are analyzed. Land development projects are randomly selected using a parallel Monte Carlo method, and the total land supply is determined. Finally, a determination is made as to whether the total supply meets a preset supply threshold. If not, iterative adjustments are made. If so, the results are summarized and visualized. This method provides a systematic, intelligent, and efficient solution for complex land management needs.

The invention provides a seed coating and sowing all-in-one machine for sand control, which belongs to the technical field of agricultural sowing and comprises a frame, an advancing mechanism, a sowing mechanism and a coating mechanism. A traveling mechanism is arranged on the frame, a seeding mechanism is arranged on the frame, the traveling mechanism comprises two traveling wheels which are symmetrically arranged, a rolling wheel is arranged between the two traveling wheels, the rolling wheel is connected with the traveling wheels through a sliding piece, convex blocks are uniformly and fixedly connected to the rolling wheel in the circumferential direction, and the ends, away from the rolling wheel, of the convex blocks are sharp; two auxiliary wheels are symmetrically arranged on the frame, and the seeding mechanism is positioned between the auxiliary wheels and the rolling wheel. The integrated equipment is pulled through an external power source, seed coating and sowing can be carried out at the same time, meanwhile, the rolling wheel can be driven to roll on soil, the soil becomes compact, multi-ridge cultivation can be carried out, and therefore the survival rate of seeds after sowing is increased, and large-area sand land treatment is achieved.

The invention relates to the field of land management, in particular to a land element optimal configuration decision system and method based on artificial intelligence, and the system comprises a land remote sensing module, a region segmentation module, a development prediction module, a virtual merging module and a configuration decision module. The region segmentation module is used for generating development regions and calculating shape coefficients, the development prediction module is used for calculating output efficiency of land grids, the virtual merging module is used for merging adjacent development regions, and the configuration decision module is used for planning development types of conflicting grids. The low-efficiency utilization caused by land dispersion is avoided, the land utilization efficiency is improved, the land development and management cost is reduced, the scientificity and accuracy of land allocation are ensured, and efficient utilization of land resources and coordinated development of the ecological environment are achieved.

The invention relates to the field of hydrological disaster risk assessment, and discloses a man-made signal identification and future estimation method for hydrological drought risks, and the method comprises the steps: collecting data; hydrological drought identification; hydrological drought occurrence probability trend quantification; quantification of contribution of human climate change and human water taking and land management change; human activity signal detection of hydrological drought occurrence probability; hydrological drought attribution risk score quantification; identifying human activity signals in hydrological drought based on a signal-to-noise ratio criterion; the uncertainty source of the future hydrological drought occurrence probability trend is quantified; according to the method, the global hydrological drought occurrence risk change in historical and future periods under the influence of human activities is evaluated, and the human activity signals in the global hydrological drought occurrence risk change are identified, so that the understanding of the global hydrological drought risk change and influence mechanism is enhanced, and a scientific basis is provided for making a hydrological drought disaster prevention and reduction decision.

The utility model discloses a desert and saline-alkali land treatment system. The system comprises a coal gangue powder preparation and air compression system arranged in a coal mine coal gangue storage yard, a coal gangue solid-liquid mixture preparation and application system arranged in desert and saline-alkali soil areas to be treated, and a powder conveying pipeline system for connecting the coal gangue powder preparation and air compression system and the coal gangue solid-liquid mixture preparation and application system. Coal gangue is made into powder through a crusher, a screw feeder, a compressed air station and the like, and the powder is conveyed remotely. A solid-liquid mixture is prepared through powder collection, agent addition, solid-liquid mixing and the like in a treatment area, and then the solid-liquid mixture is applied and scattered through a ditching applying and scattering vehicle, an under-pressure winding and unwinding system and a dragging hose.

The invention discloses biochar spraying equipment for land salinization treatment and a use method of the biochar spraying equipment, and relates to the technical field of land governing.The biochar spraying equipment comprises a mixing tank, a feeding port is formed in the upper portion of the mixing tank, and a spraying structure is installed on the side face of the mixing tank; the spraying structure comprises a nozzle installed on the side face of the rotating ring and a second conveying pipe installed on the inner side of the mixing tank, a driving device is installed on the upper portion of the mixing tank, a rotating rod is installed at the output end of the driving device, a plurality of stirring rods are installed on the outer side of the rotating rod, and a suction assembly is arranged in the mixing tank. The suction assembly comprises a third conveying pipe installed at the end of the rotating rod and a plurality of connecting pipes installed on the side face of the third conveying pipe, by arranging the suction assembly, a suction head can rotate and move in the mixing tank during suction, all areas in the mixing tank can be covered more comprehensively and effectively, and the mixing efficiency is improved; the liquid and the biochar can be uniformly and quickly sucked, and the problem of insufficient suction or excessive suction in a local area is avoided.

The invention provides a sowing method for wheat-sesbania in a dry farming saline-alkaline double cropping area, and belongs to the technical field of agricultural sowing, and the sowing method comprises the following steps: S1, early-stage preparation; s2, shallow spinning and leveling; s3, sowing execution; s4, soil treatment; and S5, equipment resetting. The invention provides a wheat-sesbania seeding method for a dry farming saline-alkaline double cropping area. Through collaborative design of crop adaptation, soil improvement and equipment optimization, a multiple guarantee mechanism for yield stability is constructed. The yield reduction risk of unreasonable group structure of wheat is reduced through close planting optimization, biomass accumulation is improved through wide-distance planting of sesbania, and a green manure cycle of land use and land cultivation is formed; the rainwater collection ditch has the water collection and soil moisture conservation functions to buffer the influence of uneven rainfall and reduce the fluctuation impact of drought and flood on the yield. The method pertinently solves the core problems of insufficient adaptability, saline-alkali drought stress, low emergence rate and the like of the same seeder, and realizes double improvement of the emergence rate and the yield stability of the double-cropping product in the dry-farming saline-alkali area.

The application discloses a land management system and method for highway engineering projects, and relates to the field of land management.The system comprises a land project change module, which changes land types, pile numbers, quantities and land unit prices according to actual site construction conditions on the basis of land project information to obtain updated land project information; an audit module, which sends the corresponding updated land project information to each audit node according to a first process audit chain; a protocol generation module, which generates a land project protocol by calling a preset protocol template when the audit is passed; the audit module, which sends the corresponding land project protocol to each audit node according to a second process audit chain; a settlement generation module, which generates a land settlement protocol when the audit is passed; the audit module, which sends the corresponding land settlement protocol to each audit node according to a third process audit chain; and a settlement archiving module, which settles according to the land settlement protocol when the audit is passed.The application improves the efficiency of land management in highway engineering projects.

The invention discloses a spraying device for land treatment and ecological restoration, and relates to the technical field of spraying devices. A steering structure is arranged in the middle of the lower end face of the bottom plate, a buffering structure is arranged on the lower end face of the steering structure, a driving structure is fixedly connected to the upper end face of an inner cavity of the buffering structure, universal joints are evenly and rotatably connected to the lower portion of the inner cavity of the buffering structure, and advancing structures are rotatably connected to the front side and the rear side of the buffering structure. Through a buffer structure on a steering structure, a driving structure, a universal joint and an advancing structure are installed and placed in the using process, then through stretching out and drawing back of a spring telescopic rod, the reclamation cone is automatically inserted into soil, additional manual operation is not needed, manpower is saved, it is ensured that the reclamation depth is consistent, and a liquid outlet groove in the reclamation cone can spray pesticide while reclamation is conducted; direct contact between deep soil and the agent is achieved, the remediation efficiency is improved, the agent is injected into the deep position of the soil through the liquid outlet groove of the reclamation cone, and the problem of diffusion of pollutants in the soil layer is solved.

The invention provides a mine ecological vegetation restoration method which comprises the following steps: S1, eliminating potential safety hazards of a mine: cleaning dangerous pumice stones on a mine slope surface, and partitioning the mine slope surface; s2, landform remodeling: performing landform remodeling, land treatment and water interception and drainage reconstruction in combination with landforms around the mine; s3, soil reconstruction, wherein soil is taken from different places and covers the slope subareas, and the soil is improved; s4, vegetation reconstruction: on the basis of landform remodeling and soil reconstruction, vegetation is planted in the soil of the subareas of the slope surface; and S5, maintaining the vegetation by using a restoration device, and recording mine ecological restoration data in time. The vegetation planted in the restoration area can be conveniently watered, fertilized and transported through the restoration device, the mine ecological vegetation restoration workload can be reduced, and the mine ecological vegetation restoration efficiency can be improved; by means of artificial support and induction, an ecological system coordinated with a surrounding ecological system is reconstructed, and it is guaranteed that plant communities are continuous and stable.

The application discloses a kind of urban land reserve scale prediction system and method, it is related to urban planning and land management technical field, the application is by collecting urban land reserve total, annual increase and consumption area, land structure distribution and planning target structure etc. Data, calculate the dynamic coefficient reflecting the dynamic change of reserve scale and the structure adaptation coefficient for measuring the adaptation degree of structure and historical target. After the dynamic coefficient and the structure adaptation coefficient are standardized, the comprehensive index is calculated by combining weight, according to which the annual adjustment ratio is determined, and then the benchmark forecast reserve is calculated. Combined with the historical actual adjustment ratio, generate the forecast reserve of conservative, benchmark and active three kinds of scenes, determine the final forecast reserve by comparing with the average value of history. The application comprehensively dynamic trend and structure adaptability, supports multi-scenario analysis, and can provide scientific, flexible decision-making basis for urban land reserve planning.

The application discloses a kind of salinized land differentiation partition management and crop adaptation method, it is related to salinized land management and agricultural engineering field.The method is by obtaining the soil salinization index data of plot unit, water salt transport condition data and engineering implementability constraint data, to each plot is normalized and union partition analysis, generates different management type area;For each management type area generates multiple rounds of management path, and reaches crop target soil state window to reach the accessibility determination, to filter adaptation crop;After management implementation, by retest data triggers path switching or parameter adjustment, realizes dynamic closed-loop control.The application can consider soil physicochemical properties and water salt transport condition at the same time, give consideration to engineering implementation constraint, realize the fine and dynamic management of salinized land management and crop planting decision, improve the stability and practical application feasibility of management effect.

The system of the present invention enhances the utility of tractor-like vehicles such as excavators for land management and forest fire prevention through the integration of auxiliary equipment. This system comprises a securely attachable bracket designed to support a dual winch setup on the vehicle's frame, enabling a multifaceted operational approach without compromising the excavator's primary functions. The system is devised to optimize and expand on the excavator's capabilities, introducing a versatile solution for improving land management practices and contributing to effective forest fire prevention strategies, thereby representing a significant advancement in the field of environmental conservation and machinery utility.

The invention relates to the technical field of land resource management, in particular to a land resource utilization optimization and scheduling intelligent system which comprises an ecological parameter verification module, an ecological function grading module, a space supply and demand judgment module, a scheduling sequence optimization module and a dynamic queue adjustment module. On the basis of space mapping and multi-time-sequence ecological data, a high-consistency data set capable of dynamically recognizing linkage changes between data is constructed, the balance state between land utilization requirements and resource bearing is automatically judged by fusing ecological characteristics of land units and regional differences through sensitive grading and a dynamic weight distribution mechanism, and the method has the advantages of being high in reliability and high in reliability. Resource factors such as output capacity and water source reachability are aggregated in real time, land use priority ordering is achieved, the land scheduling queue sequence is automatically adjusted in combination with real-time changes of various core parameters in the scheduling process, and land management is promoted to achieve multivariable and all-time-period-oriented self-adaptive optimization and efficient scheduling.