427 results about "Geographic information system" patented technology

The invention belongs to the technical field of natural language processing and geographic information systems, and particularly relates to a region address standardization method based on knowledge graph enhanced retrieval. Cleaning and preprocessing the original address text input by the user; utilizing a fine-tuned large language model to identify a geographic entity and performing standardized expansion on variant expression to generate a query candidate set; entity linking and context retrieval are carried out based on the knowledge graph, and attributes, hierarchy and spatial topology information of associated entities are obtained; in combination with the original input and the map context, an enhanced retrieval query text is generated through large language model reconstruction; vectorized semantic retrieval is carried out through the fine-tuned embedding model, and a preliminary candidate address set is obtained; carrying out multi-dimensional refined sorting by adopting a resorting model; and generating a structured standard address by using a large language model, and outputting the structured standard address after multi-level verification. According to the method, the problems of ambiguity resolution, alias recognition and context understanding in address processing are solved, and the accuracy and robustness of address standardization are improved.

The invention discloses an environment perception and command control intelligent deduction platform based on bionic unmanned equipment, and relates to the field of intelligent deduction, and the platform comprises the steps: collecting environment data through a multi-mode sensor, encrypting the environment data through an anti-interference communication relay module, and transmitting the encrypted environment data to a central control platform; the data fusion preprocessing module is used for processing multi-source data and outputting a structured data stream, and the environment intelligent modeling module is combined with a geographic information system to construct a three-dimensional dynamic environment model; an intelligent deduction module carries out multi-scene deduction based on the model, and a self-adaptive control strategy generation module converts a decision tree into an anti-disturbance control sequence; and the man-machine collaborative decision-making module fuses operator intervention to generate a final instruction, and the instruction distribution and equipment collaborative control module issues the instruction to the bionic unmanned equipment to realize intelligent collaborative control. The method has the advantages that bionic perception, anti-interference communication and intelligent deduction are integrated, efficient cooperation and adaptive control of unmanned equipment in a complex environment are achieved, and the intelligence and robustness of task execution are remarkably improved.

The invention relates to the technical field of civil engineering, and discloses a road subgrade settlement prediction method and system based on multi-source data. The method comprises the following steps: acquiring and correcting a precipitation sequence and roadbed soil moisture distribution data; analyzing rainfall accumulation characteristics and carrying out penetration risk classification, thereby extracting a penetration depth estimation value, and utilizing finite element analysis to simulate a soil body saturation state change trend; quantifying a soil body supporting capacity reduction range, constructing and calibrating a settlement initiation probability calculation model, and obtaining settlement probability distribution; identifying a high-risk evolution area, integrating path weights and accumulated influence factors, and generating a settlement prediction interval subjected to multi-dimensional verification; and fusing the prediction interval and actual roadbed structure data through a geographic information system to generate a comprehensive evaluation report. According to the method, the whole-process accurate evaluation of the roadbed settlement risk from multi-source perception, mechanism simulation to space prediction is realized, and the accuracy and timeliness of the roadbed settlement risk prediction and the pertinence of engineering maintenance are improved.

The invention discloses a lightweight method and system for a highway engineering three-dimensional live-action model and a medium, and relates to the technical field of three-dimensional live-action modeling. The method comprises the following steps: firstly, carrying out engineering semantic segmentation on an input three-dimensional grid model, and extracting design parameters in a BIM / GIS (Basic Information Model / Geographic Information System); then, constructing a multi-level constraint model fusing semantic constraints, engineering precision constraints and design parameter constraints; and finally, carrying out iterative simplification under the guidance and limitation of the multi-level constraint model by adopting an improved quadratic error measurement algorithm. The method solves the problems of semantic information loss, out-of-control local precision and disjunction with design intention when a traditional pure geometric simplification method is applied to highway engineering, and can intelligently reserve key engineering characteristics, control geometric errors and fit a design form while ensuring that the data size of the model is greatly reduced. And a high-quality lightweight model suitable for professional analysis and application is generated.

A new generation 3D modeling system is described for the management of the 3D characteristics of man-made structures in a shared geographic information system (GIS) platform. The system accommodates the conversion of 2D GIS topology to 3D real-world topology, originate and perpetually maintain 3D models and non-graphical attribute data through time managed by a community of users based on a series of permissions and user roles. The system integrates 3D model data with attribute data and may be supplemented with published map or attribute data and / or data made available by users of the system.

The invention discloses a long-distance maneuvering path planning method and system fused with DOP information, and belongs to the technical field of path planning and navigation. The method comprises the following steps: collecting special vehicle information, GNSS DOP information, geographic information and traffic information; based on the DOP value and the traffic condition, the roads are preliminarily screened, and the gradient, the slope direction, the height limit, the load bearing, the turning radius and DOP information are integrated; road condition information is converted into constraint conditions, and DOP information serves as an optimization target and is fused into a heuristic cost function of an improved algorithm; a path with the best navigation effect is obtained through path searching, visual display is carried out on a geographic information system map, and DOP information changes of all key points on the path are displayed in real time. According to the method, a GNSS signal blind area can be effectively avoided, the feasibility and navigation precision of path planning are improved in combination with vehicle dynamics constraints, and the method is suitable for long-distance maneuvering tasks of special vehicles.

The invention discloses an unmanned aerial vehicle detection and directional interference system based on an artificial intelligence technology, which belongs to the technical field of unmanned aerial vehicle detection interference and comprises a data acquisition module, an unmanned aerial vehicle identification module, a geographic information correction module, a trajectory prediction module and a directional interference module. The data acquisition module is used for acquiring geographic information data of a target area based on a geographic information system, comprises a radar, an acoustic sensor and a radio frequency spectrum detection sensor, and is used for acquiring feature data of a moving object in the target area; and the unmanned aerial vehicle identification module obtains feature data of a moving object in the target area based on the data acquisition module. According to the unmanned aerial vehicle detection and directional interference system based on the artificial intelligence technology, the obstacle in the target area is identified, the personalized behavior of the unmanned aerial vehicle is analyzed, the trajectory prediction and interference strategy of the unmanned aerial vehicle is optimized in combination with topographic features, and the trajectory prediction precision and the directional interference effect are improved.

The invention discloses a water supply pipe network dynamic pressure control method and system based on multi-parameter fusion, and relates to the technical field of water supply pipe network control, and the method comprises the steps: carrying out the standardization processing and topological optimization of pipe network geographic information system data, and constructing an urban pipe network topological graph; identifying a pressure sensitive node and a distance sensitive node based on a hydraulic calculation result of the mechanism calculation model; performing association coding on historical monitoring data of the key nodes and a topological connection relationship, and training a machine learning model fusing pipe network topological constraints; collecting real-time monitoring data, inputting the real-time monitoring data into the mechanism calculation model and the machine learning model, and respectively obtaining offline adjustment parameters and online adjustment parameters; and determining a final adjusting instruction through consistency verification to control water supply pump set equipment. According to the method, the calculation precision of the mechanism model and the response speed of the machine learning model are fused, organic unification of accuracy and real-time performance is achieved, and the control stability and reliability under the abnormal working condition are improved.

The invention discloses an automatic administrative boundary fusion charting method and a meteorological charting method based on a python language. Belongs to the technical field of meteorological charting, and particularly relates to the cross technical field of meteorological data processing and geographic information system visualization. The method starts with the construction of a multi-scale adaptive boundary fusion map, so as to solve the problems of cross-scale (such as province-to-village) precision faults and large interpolation errors of complex terrains, and achieve a cross-level administrative division boundary seamless aggregation technology (village level-town level-county level-province level). Therefore, the problem that precision is easy to lose when cross-scale conversion (such as from province to village) is carried out during meteorological mapping is solved.

The invention discloses an active power distribution network multi-target cooperative control system and method based on digital carbon flow sensing and dynamic optimization, and the system comprises a hardware layer, an algorithm layer, a control layer, and a visualization layer: the hardware layer is a distributed carbon sensing and execution network, and is used for collecting the full-link carbon flow, power, and price data of an active power distribution network; the source-network-load-storage carbon information full coverage is realized; the algorithm layer comprises a dynamic carbon cost coefficient calculation model and a multi-objective optimization model, and is responsible for carbon cost quantification, optimization objective solution, carbon cost coefficient output and output plan optimization; the control layer is used for executing a'day-ahead robust optimization-intra-day rolling optimization-real-time rapid adjustment 'three-time-scale cooperative scheduling strategy based on the result of the algorithm layer; the visualization layer is used for constructing a'carbon flow-power flow 'double-flow visualization interface of the active power distribution network by adopting a WebGIS (Web Geographic Information System); according to the invention, accurate quantification of dynamic carbon cost, improvement of distributed new energy consumption rate and real-time traceability and visualization of carbon flow are realized.

The invention discloses a real estate surveying and mapping system and method based on a geographic information system, and the system comprises an unmanned aerial vehicle surveying and mapping unit which is responsible for the collection of large-range images and laser point clouds in the air, and carries out the self-adaptive adjustment of measurement parameters according to the type of real estate. The laser measurement unit correspondingly completes measurement and supplementary measurement of a ground high-precision boundary point and can identify a shielding object in a measurement path and trigger a supplementary measurement signal, and the positioning enhancement unit provides anti-interference multi-source positioning support for the whole system so as to ensure continuous stability of positioning in a complex environment. The data fusion calibration unit unifies coordinates of cross-medium data, synchronizes timestamps and corrects data fusion deviation, the GIS processing unit undertakes core tasks of geographic information management, data processing and surveying and mapping result generation, and the linkage verification unit realizes real-time linkage verification of surveying and mapping data and real estate registration data and identifies ownership boundary conflicts. The system has the advantages of multi-source cooperation, self-adaptive matching, enhanced anti-interference and linkage calibration.

The invention provides a dynamic decision-making method and system for store site selection based on geographic information, and relates to the technical field of geographic information system.The method comprises the steps that traffic data of main roads and subway lines of a target city and geographic image information of peripheral business districts of a to-be-analyzed area in the target city are obtained; processing the geographic image information to obtain a physical boundary range and business state distribution information of a peripheral business district, and calculating traffic reachability parameters in combination with traffic data; determining a preliminary candidate area in the physical boundary range, and obtaining a cooperative potential parameter according to the traffic reachability parameter; selecting a candidate store area position from the preliminary candidate area based on the traffic reachability parameter and the cooperative potential parameter; according to surrounding dynamic factors, the candidate store area positions are evaluated to determine the final store site selection, so that the accurate, intelligent and dynamic decision-making of the store site selection is realized, and the scientificity and the commercial success rate of the site selection are improved.

In large domes and stadiums, this system integrates advanced information systems, user interfaces, and real-time data to ensure that visitors are properly guided to their destinations (seats, restaurants, shops, etc.), can understand congestion levels, receive information on products and events tailored to their individual needs, and, in the face of the increasing adoption of unmanned stores, enable efficient inventory management and payment processing. [Solution] A system including a digital display device and means for the user to input a desired destination; a central control unit and means for receiving destination information from the digital display device and calculating the optimal route; means for providing the user with optimal route guidance using a geographic information system including real-time congestion information; and means for communication with the central control unit.

The invention provides a vehicle turning path planning method and device for irregular land parcels, and is applied to the technical field of path planning, and the method comprises the steps: carrying out the initialization of a pheromone field based on the boundary data of a geographic information system and internal obstacle data, and constructing a rasterized map for representing a passable region; based on the current state of the vehicle, determining the minimum distance of obstacles in the surrounding environment of the target vehicle; based on the real-time movement speed, the minimum turning radius of the target vehicle is determined; determining a dynamic corridor parameter of the target vehicle based on the minimum distance and the minimum turning radius of the surrounding obstacle; based on the dynamic corridor parameters and the pheromone field of the rasterized map, generating a turning point probability density field of the target vehicle, and sampling the turning point probability density field to obtain a turning point set; and constructing a turning path of the target vehicle based on the turning point set, and determining the turning cost of the turning path. According to the invention, Pareto optimization of energy consumption and efficiency in a complex scene can be realized.

The invention discloses a three-dimensional visualization method, system and device based on heterogeneous spatial data fusion and dynamic sectioning, and a medium, belongs to the technical field of urban information model visualization, and aims to solve the technical problem of how to improve data fusion efficiency, sectioning response delay and mobile terminal frame rate in a million patch scene. Light-weight and high-interaction visual display of scenes such as smart cities and underground pipe galleries is realized, and the defects of multi-source spatial data splitting, high sectioning interaction delay and poor cross-terminal compatibility are overcome. According to the technical scheme, heterogeneous data dynamic normalization is carried out, wherein local coordinates of a building information model, WGS84 coordinates of a geographic information system and computer aided design data are unified to an Euclidean coordinate system through a space dynamic reference conversion algorithm, and normalized data are obtained; constructing a semantic data relation graph; generating a dynamic sectioning plane in real time; vector elements are highlighted in a linkage manner; and carrying out cross-terminal adaptive rendering.

The invention relates to a charging facility optimization layout method and device based on power distribution network data generation, and the method comprises the steps: building a multi-dimensional condition vector through the comprehensive consideration of the climate-farming-migration-time characteristics of a rural area, the capacity evaluation characteristics of a transformer area, and the charging rule characteristics of an electric vehicle; splicing the multi-dimensional condition vector and original data of the power distribution network, and inputting the spliced data into a generative model to obtain generated data of the power distribution network; and fusing the generated power distribution network data with a power grid geographic information system, and outputting a charging infrastructure layout suitability thermodynamic diagram through geographic space gridding analysis and multi-index weighted decision. According to the invention, seamless connection from data generation to actual power grid optimization decision is realized.

The invention provides a project group comprehensive evaluation method and device for a power grid transformation project, and a medium. The method comprises the steps of obtaining related text data, geographic information system data, project historical data and power grid topological structure data; performing feature extraction and analysis on the related text data to construct a semantic feature association network; performing connection analysis on the geographic information system data and the power grid topological structure data to construct a geographic topological feature association network; performing time sequence feature analysis on the project historical data to construct a time sequence feature association network; constructing a multi-dimensional coupling network based on the semantic feature association network, the geographic topological feature association network and the time sequence feature association network; identifying a core project group from the multi-dimensional coupling network; establishing a project group comprehensive evaluation model based on the core project group; performing comprehensive evaluation on the to-be-evaluated project group through the project group comprehensive evaluation model to obtain a target project group; and evaluating the comprehensive benefit of the target project group in the power grid transformation. Therefore, the project group evaluation comprehensiveness is improved.

The invention discloses a GIS image voiceprint joint sensing method and system based on multi-modal interaction and edge intelligent optimization, and belongs to the technical field of intelligent sensing and data processing of power equipment. The method provided by the invention comprises the following steps: acquiring feature vectors for images and voiceprint signals generated in the operation process of GIS (Geographic Information System) equipment; performing cross-modal semantic coding and fusion expression on the feature vector to obtain a unified cross-modal semantic feature vector, and predicting bandwidth dynamic allocation based on a multi-modal code stream demand according to the cross-modal semantic feature vector; and carrying out computing power arrangement optimization on the predicted bandwidth dynamic allocation based on data storage backlog perception, and after the computing power arrangement optimization is completed, judging the cross-modal semantic feature vector so as to perceive the image and the voiceprint signal. According to the invention, synchronous acquisition and joint determination of the acousto-optic signals of the GIS equipment are realized.

The invention relates to the technical field of edge computing, and discloses a service area hazardous chemical substance vehicle intelligent supervision method and system based on edge computing, and the method comprises the steps: obtaining the real-time position data and state information of a hazardous chemical substance vehicle in a service area; integrating the real-time position data and the vehicle state information on the edge computing node to construct a dynamic behavior portrait, and extracting motion track features in the dynamic behavior portrait; comparing the motion trail features with a planned route in the electronic waybill data, judging the consistency of the route and detecting aggregation abnormity so as to generate a potential risk signal; based on the potential risk signal, distributing a response priority and automatically triggering an unmanned aerial vehicle system, and planning a flight path by combining a geographic information system so as to control the unmanned aerial vehicle to fly to a target area and perform data acquisition; according to the method, the accuracy and real-time performance of risk identification can be improved, it is ensured that potential risks are quickly sensed and effectively responded, and a complete supervision link from risk early warning to on-site checking is constructed.

The invention discloses an air-ground integrated intelligent operation and maintenance method, system and device for a photovoltaic power station and a medium, and belongs to the technical field of photovoltaic power station inspection, and the method comprises the steps: carrying out the collaborative data collection and edge preprocessing through dispatching heterogeneous equipment; optimizing an inspection path based on a three-dimensional geographic information system and a task allocation algorithm; fusing multi-source data at a center end, performing intelligent analysis by utilizing a defect knowledge graph, and mapping a result to a group cascade coordinate database to realize accurate positioning; finally, an inspection report is automatically generated, and an intelligent operation and maintenance closed loop is completed. According to the invention, through collaborative operation of the multi-rotor unmanned aerial vehicle cluster and the track type inspection robot, based on a multi-source data fusion engine and a defect knowledge graph, time-space alignment and intelligent analysis are carried out on infrared, visible light and other multi-modal data, so that accurate defect identification and processing scheme matching are realized; the problems of coverage blind areas, detection lag, resource waste and data islands are solved.

The invention relates to the field of geographic information system data processing, in particular to a vector tile cutting and publishing system which comprises a heterogeneous data self-adaptive access and normalization subsystem used for receiving multi-mode heterogeneous input; the spatial-temporal feature analysis and index construction middleware is used for generating a metadata index reflecting data spatial distribution features; the vector tile streaming production engine drives a tile generation process based on the metadata index, converts the intermediate state data into a vector tile data packet by adopting a parallel computing architecture, and writes the vector tile data packet into a tile storage warehouse; and the standardized service publishing bus is used for monitoring the change state of the tile storage warehouse in real time and externally providing a vector tile network service interface which accords with a standard protocol. According to the method, the structure barriers of heterogeneous data sources are eliminated, the stability of data production is ensured through topology self-healing, the defect that one set of rules cut all is overcome through a density-based parameter inversion mechanism, and the tile size and the visualization precision are balanced.

The invention relates to an underwater topographic feature quantitative monitoring method based on satellite-borne active and passive fusion sounding. The method comprises the following steps of performing preprocessing such as atmospheric correction, flare correction and water-land separation on a passive optical remote sensing image data set; the method comprises the following steps: extracting an active laser point sounding value from a satellite-borne single-photon laser radar point cloud data set, and carrying out water depth correction including refraction correction, tide correction and the like on the sounding value; geospatial matching is carried out on the preprocessed remote sensing image and the depth sounding sample points, and a spectrum-water depth data set is constructed; performing machine learning and model prediction on the active and passive fusion sounding sample set by using an MLP model to obtain a three-dimensional DBM of the research area; and 12 types of underwater topographic feature factors derived from the DBM are calculated by combining a geographic information system technology and a landform operator, so that an underwater topographic feature quantitative monitoring data set is constructed. According to the invention, through fusion of active and passive optical remote sensing sounding data, large-area, low-cost and high-precision quantitative monitoring of underwater topographic features is realized.

The application discloses a cliff three-dimensional modeling method and system based on structure surface constraint, relates to the technical field of three-dimensional geographic information systems, collects cliff regional geological data including cliff multi-view images and cliff surface dense point cloud data, and constructs a geological prior knowledge base; image recognition technology is used to process the cliff multi-view images, combined with point cloud geometry analysis, to identify the spatial orientation of structure surfaces including rock layer interfaces and joint surfaces. The application effectively solves the geometric distortion problem of traditional digital elevation models in cliff regions by fusing geological prior knowledge, uses image recognition technology to extract the spatial orientation of rock layer interfaces and joint surfaces, and uses the spatial orientation as a hard constraint condition to construct a control triangular net framework, thereby avoiding the forced smoothing error of a regular grid DEM and the overhanging surface problem of an irregular triangular net, and through an adaptive triangular division algorithm, the rock layer structure, crack distribution and dangerous rock body shape of the cliff can be accurately restored.

The invention relates to the technical field of geographic information systems, in particular to a dynamic intelligent site selection method and system based on Gis geographic space calculation, and the system comprises a data input module, a data processing module, a geographic space calculation module, a screening module and a result output module which cooperatively work through a data interface and a control flow. The invention provides an efficient, accurate and scientific plot screening method for the fields of high-standard farmland construction, urban building planning and the like by realizing dynamic intelligent site selection based on Gis geographic space calculation; by improving the accuracy of plot screening, optimizing resource allocation, improving the working efficiency, enhancing the scientificity and rationality of decision making and promoting the development and innovation of related fields, the method has important practical application value and wide development prospects.

This invention provides a method and system for assessing the electrification potential of heavy-duty vehicles based on remote monitoring data. It utilizes trajectory time intervals, speed changes, and stopping behavior to segment the journey; and calculates fuel consumption, average speed, and NO based on data collected by high-precision sensors. x Emissions, as a crucial parameter for assessing electrification potential, are used to preserve the heterogeneity of cargo weight, driving behavior, and route selection across different freight tasks within the algorithm. A method is proposed to integrate multiple economic factors, including purchase costs, battery swapping infrastructure construction and operation expenses, fuel savings, carbon trading revenue, nitrogen oxide emission reduction subsidies, and detour time costs, into a unified measurement system. A four-dimensional state space—vehicle-time-route-battery—is established, leveraging a high-speed road network geographic information system to maximize the optimization potential of battery swapping detours while satisfying time window constraints. The model is transformed into a mixed-integer programming solution by using binary route selection variables and integer variables, providing strong support for electrification replacement.

The present application relates to the technical field of land greening data management, in particular to a land greening system data information management method, comprising: arranging an ecological perception network composed of multiple source sensors in a target administrative region to collect vegetation physiology and soil environment data; carrying out denoising, interpolation preprocessing, standardization and coordinate system conversion in a data processing center to form a standardized basic ecological data set. Based on the data set, an attribute library containing multi-dimensional information such as tree species is constructed with a single plant or a reforestation plot as the smallest management unit, a dynamic three-dimensional green volume voxel model is generated in a geographic information system to reflect the spatial distribution of land greening resources. The model is used to calculate the carbon fixation and oxygen release potential values of different functional divisions, and a planning decision engine is called to generate suggestions for replanting or reforming in low potential value areas. The method effectively improves the data information processing efficiency, calls the planning decision engine to generate land greening implementation suggestions, and quickly and dynamically updates the land greening system data information.

The invention discloses a digital solid mineral resource exploration and data acquisition internet-of-things transmission method and system, and the method comprises the steps: carrying out the denoising and normalization processing of multi-source sensing data through an edge calculation node, and guaranteeing the data quality; a low-power wide area network and 5G and LoRa converged communication are combined to construct an efficient transmission channel, and a standby link is switched by detecting radio interference to guarantee the transmission stability; cloud edge collaborative data encryption is utilized, and a block chain technology is combined to record and upload a log, so that data security and traceability are ensured; and finally, performing three-dimensional geologic body modeling and geographic information system analysis based on the traceable data, and generating accurate scheduling instruction data. According to the invention, through the whole process innovation from data processing, transmission optimization, safety guarantee to prediction modeling, the efficiency of geological data processing and the accuracy of metallogenic prediction are significantly improved, and reliable technical support is provided for geological exploration.

The invention discloses a power grid asset efficiency and benefit digital auditing method and system. The method comprises the following steps: constructing a hierarchical index system covering six dimensions of construction management, economic benefits, operation benefits, environmental benefits, social benefits and operation and maintenance characteristics; collecting multi-source service data from a data medium station, a line loss system, a scheduling system and an equipment management system and carrying out standardization processing; automatically determining the weight according to the dispersion degree of the index data by adopting an entropy weight method, and calculating the comprehensive efficiency benefit value of each asset through linear weighting; the assets are divided into a high-efficiency value type, a synergistic quality-improving type and a low-efficiency idle type according to comparison of the evaluation values and the standard values, and three-color grading early warning is achieved through a geographic information system; constructing an investment decision sorting model and an operation and maintenance priority sorting model, and respectively outputting a project investment priority list and an asset operation and maintenance priority list; and reversely associating the audit result to the asset digital model to realize closed-loop linkage. According to the invention, multi-dimensional objective evaluation and real-time early warning management and control of efficiency and benefits of power grid assets are realized, and investment and operation and maintenance double-decision optimization is supported.

The invention relates to a global land comprehensive improvement monitoring method based on artificial intelligence and remote sensing images, and belongs to the technical field of environment management. According to the method, multi-band high-resolution remote sensing images of a target area in two time phases before and after improvement are obtained for radiation and atmospheric correction to ensure data quality, and land coverage classification maps of the two time phases are generated respectively by using a pre-trained deep convolutional neural network land coverage classification model. Through pixel-level change detection and confidence analysis, a reliable land coverage change area is identified, vectorization and spatial filtering are carried out, multi-dimensional change features are extracted, ecological influence and a spatial distribution mode of the multi-dimensional change features are comprehensively evaluated, and a comprehensive monitoring result including a spatial distribution diagram, a statistical report and trend prediction is generated. And the information is integrated to an interactive geographic information system platform for visual display and early warning. According to the invention, automatic, precise and systematic monitoring and evaluation of the global land comprehensive remediation process are realized.

A system is provided.SOLUTION: Means for storing package information received from a plurality of delivery companies in a database, means for analyzing a delivery destination address in cooperation with a geographic information system and specifying a delivery area, means for generating an efficient delivery route using an artificial intelligence algorithm, means for delivering the generated delivery route to a delivery terminal, and means for monitoring a delivery progress in real time, this system is provided with a means for transmitting an instruction as necessary, a means for recalculating a redelivery route on the basis of past data and at-home information when absent delivery is generated, a means for collecting delivery progress data, and for evaluating a workload, a means for selecting a route with less fuel consumption, and a means for evaluating an environmental load, and for reflecting it on a delivery plan.SELECTED DRAWING: Figure 1