534 results about "Mapping system" patented technology

The invention discloses a topographic surveying and mapping system and method of an unmanned aerial vehicle, and belongs to the technical field of topographic surveying and mapping. The system comprises the following modules: a data acquisition module which is responsible for acquiring high-precision terrain and environmental parameter data of a target area by using an unmanned aerial vehicle platform; the data fusion and correction module is responsible for fusing multi-source data and meteorological information and eliminating errors among sensors; the multi-dimensional feature analysis and recognition module is used for performing feature extraction and classification on data of each sensor through multi-dimensional feature analysis, and recognizing and separating an environment interference signal and a real building deformation signal; the interference elimination and deformation extraction module is used for carrying out pattern recognition and quantitative analysis on periodic non-deformation interference and accurately extracting real deformation characteristics of a building from complex dynamic noise; the real-time analysis module is used for realizing real-time data processing and feedback and ensuring that high-precision building change information is quickly provided; and the visualization module provides multi-dimensional dynamic visualization display including a building change heat map, an interference distribution map and a time sequence curve.

The invention discloses a data security monitoring method based on risk early warning, particularly relates to the field of data security, and comprises the steps of multi-source data acquisition, index system calculation, comprehensive threat scoring, dynamic risk judgment and response strategy execution. According to the method, a three-dimensional monitoring system is constructed through a multi-source heterogeneous data fusion analysis framework, a traditional single-dimensional monitoring blind area is eliminated, a quantitative score is generated by combining a three-layer nonlinear evaluation model with double-track baseline analysis and dynamic aggregation of basic parameters, double verification of historical rules and real-time fluctuation is achieved, the threat judgment accuracy is remarkably improved, and the threat judgment efficiency is improved. An intelligent mapping system of risk levels and disposal strategies is established, differential response plans are matched through three-level risk division, and a closed-loop feedback channel is synchronously constructed, so that high-risk events are quickly isolated for evidence obtaining, low-risk abnormities are accurately controlled, and a complete iterative loop of assessment disposal optimization is formed. And the active adaptive capacity and the response timeliness of the security defense system are enhanced.

The invention discloses an industrial system automatic fault diagnosis method based on a large language model. According to the method, a three-layer mapping system of industrial data, natural language description and knowledge reasoning is constructed, field multi-source sensor data are subjected to semantic conversion, and a quantitative calculation model based on a large language model is constructed based on historical data and logs. And a fault case is matched in real time with the help of a retrieval-enhancement generation technology to serve as a reference, the fault case and abnormal information are input into a knowledge reasoning model based on a large language model together, a structured logical reasoning chain is generated, and a diagnosis conclusion containing candidate faults, cause analysis and disposal suggestions is further output. Meanwhile, through user feedback and a reinforcement learning mechanism, the model and the knowledge base are adaptively updated, the defects of traditional static rules and expert experience are effectively overcome, the accuracy, interpretability and robustness of fault detection are remarkably improved, and the method adapts to complex and changeable working condition requirements.

The invention belongs to the technical field of topographic mapping, and discloses a topographic mapping system and method based on an unmanned aerial vehicle, and the method comprises the steps: a data collection module collects map geological data; the route planning module plans an optimal driving route; the data acquisition module acquires topographic images and point cloud data; the environment parameter monitoring module monitors flight environment parameters in real time; the image data analysis module is used for preprocessing and analyzing the image data; the radar data analysis module preprocesses and analyzes the radar data; the feature extraction and matching module performs feature extraction and matching on the image and the point cloud data; the terrain model construction module constructs a terrain three-dimensional model; and the terrain analysis module performs quantitative analysis on the terrain. According to the method, key feature extraction is performed on images and point cloud data, and image splicing and point cloud registration are realized; the terrain model construction module constructs a three-dimensional terrain model according to feature extraction and matching results, and the terrain analysis module obtains accurate terrain information.

The invention discloses a vehicle-mounted cross-protocol data time sequence cooperative processing method, which comprises the following steps: establishing a unified time reference, and providing an accurate space-time coordinate system for heterogeneous network nodes by electing a global master clock and constructing a clock relation model and a periodic correction mechanism; systematic cognition and management of communication resources are realized, and a verified protocol capability table is generated by automatically identifying protocol types and variants; constructing an automatic mapping system from demand to execution, performing formalized packaging on a target scene by introducing a unified intermediate model, generating a cross-protocol mapping rule based on the model and a protocol capability table, and then forming a global scheduling table in combination with a unified time reference; the cooperative communication of all nodes is finally realized by using the global scheduling table, and the end-to-end delay is constrained within the preset range, so that the problem that the end-to-end time sequence in the vehicle-mounted heterogeneous network is uncontrollable is solved, and the controllability and reliability of the time sequence of the vehicle-mounted network are improved.

The invention discloses an optical transmission cross-domain service real-time configuration method, an optical transmission cross-domain service real-time configuration device and a computer program product, and aims to realize unified planning and dynamic output of cross-domain service end-to-end service quality targets by constructing a multi-domain quality strategy fusion model and integrating service quality strategies and resource states of different network domains. By collecting performance data of each domain in real time and combining with a time sequence analysis algorithm, the network performance degradation trend can be accurately identified; based on quality propagation path analysis of a cross-domain service topological relation graph, a quality degradation root can be quickly positioned, the influence range of the quality degradation root can be quantified, and the service quality stability of a key service in a resource limited scene is ensured; by establishing a cross-domain service quality mapping system, heterogeneous network performance parameters are mapped to end-to-end service quality indexes, and the cross-domain collaborative operation and maintenance efficiency is greatly improved. A continuous iterative optimization mechanism driven by reinforcement learning is adopted, adaptive adjustment of network resource allocation and a routing strategy is realized, and a cross-domain service quality dynamic optimization closed loop is formed.

The invention discloses a warehouse logistics visual monitoring system based on digital twinning, and belongs to the technical field of warehouse logistics fault monitoring, and the system specifically comprises the steps: collecting various data in a warehouse environment, including a warehouse architecture, an article position, inventory information, equipment state data and personnel activities, carrying out the preprocessing, and obtaining a database; constructing a hierarchical digital twinborn model and a constructed virtual-real space real-time mapping system on the basis of various data in the preprocessed storage environment, performing simulation prediction on operation of storage equipment by using the digital twinborn model, performing multi-dimensional monitoring on storage logistics, constructing a fault prediction model, and predicting and analyzing faults of the storage equipment; according to the method, virtual-real compensation optimization is carried out by using Kalman filtering and an optimization algorithm, and the precision of the digital twin model is improved, so that potential fault risks can be identified in advance, early warning can be given out in time, the equipment fault rate is greatly reduced, the maintenance cost is reduced, and the normal operation time of equipment is prolonged.

The invention relates to the technical field of digital surveying and mapping of constructional engineering and construction quality control, and discloses a house surveying and mapping system for constructional engineering, which comprises a data acquisition module for synchronously generating a panoramic image signal and an inertial measurement unit signal; the preprocessing module receives a panoramic image signal and an inertial measurement unit signal, and fuses the panoramic image signal and the inertial measurement unit signal through a visual inertial odometer to generate a pose calibration signal; the fusion modeling module receives the purification point cloud signal and the pose calibration signal, and generates building component parameterized data based on a deep learning component recognition algorithm; the result output module receives the building component parameterized data and generates a construction deviation analysis report based on a preset tolerance threshold value; the intelligent control module generates an acquisition quality feedback signal through a real-time quality evaluation algorithm to the data acquisition module so as to adjust a scanning path, and sends a dynamic sampling rate control signal to the preprocessing module so as to optimize a calculation load. The problems of low house surveying and mapping efficiency, poor modeling precision and weak field real-time feedback are solved.

The invention discloses a high-precision topographic mapping system and method based on multi-source remote sensing data, and relates to the technical field of topographic mapping, and the method comprises the steps: obtaining an optical remote sensing image, a radar remote sensing image, LiDAR point cloud data and meteorological index data of a target region, and carrying out the data preprocessing of the optical remote sensing image, the radar remote sensing image and the LiDAR point cloud data; obtaining the surface feature types of the target area and the coverage area of each surface feature type, and carrying out the weighted fusion of the optical remote sensing image and the radar remote sensing image of the target area according to the surface feature types of the target area and the coverage area of each surface feature type, and obtaining a self-adaptive fusion remote sensing image; according to the method, points in LiDAR point cloud data are divided into distinguished ground points and non-ground points, a digital elevation model is constructed according to the ground points in the LiDAR point cloud data, three-dimensional modeling of the terrain is performed on the basis of the digital elevation model in combination with texture information of a self-adaptive fusion remote sensing image, a three-dimensional terrain model is generated, and the terrain surveying and mapping precision is remarkably improved.

The invention relates to the technical field of building surveying and mapping, and provides an old building digital surveying and mapping system and method based on air-ground collaborative point cloud fusion, and the method comprises the steps: carrying out the blind area detection of space-time fusion data scanned by unmanned aerial vehicle equipment and a ground robot, and carrying out the blind area detection when the top point cloud data / bottom point cloud data have a blind area visual angle; starting a dynamic master-slave mechanism; according to the dynamic master-slave mechanism, equipment corresponding to the point cloud data with the blind area serves as slave equipment, equipment corresponding to the point cloud data without the blind area serves as host equipment, the slave equipment is controlled to execute point cloud filling, blind area compensation data are determined, and after the blind area compensation data are fused into time-space fusion data, the time-space fusion data are subjected to time-space fusion. And generating target space-time fusion data loaded to the visual interface. A closed-loop workflow from data acquisition to quality verification is constructed through a dynamic master-slave control mechanism, a multi-dimensional synchronization strategy and an intelligent compensation algorithm driven by architectural features.

The invention relates to the technical field of geographic information measurement, in particular to an engineering surveying and mapping system, which comprises a foundation settlement offset analysis module, which is used for carrying out data division according to a subarea range of a foundation based on three-dimensional point cloud data acquired in engineering foundation monitoring, analyzing offset distribution of foundation settlement, and calculating the offset distribution of the foundation settlement by matching junction points of adjacent subareas; the settlement relation is analyzed, and foundation partition deviation distribution characteristics are generated. According to the method, the subarea processing is carried out on the foundation, the coordinate distribution, the density, the settlement difference value and other multi-dimensional information among the points are extracted based on the three-dimensional point cloud data, and the settlement characteristics of the interior of the subarea and the adjacent area can be revealed more meticulously. The settlement deviation value distribution is comprehensively analyzed, the settlement direction and the accumulated deviation change are accurately positioned, and a quantitative basis is provided for the overall stability evaluation of the foundation. And performing normalization processing and weight distribution adjustment, performing optimization correction on an error concentration area, and realizing dynamic smooth compensation of inter-partition errors.

The invention discloses a building facade three-dimensional surveying and mapping system and method based on an unmanned aerial vehicle and AI, and relates to the technical field of building surveying and mapping, and the system comprises a scene analysis module which is used for executing the information analysis of calibration scene information, and marking each surveying and mapping sub-region as a to-be-collected node; the acquisition planning module is used for calculating the node transition probability of each node to be acquired; the surveying and mapping search module is used for configuring a virtual unmanned aerial vehicle and performing selective iteration of surveying and mapping sub-regions by using pheromone concentration and heuristic factors; the clustering sharing module is used for carrying out three-dimensional surveying and mapping on the exterior facade of the building and establishing a shared information pool in a clustering manner; and the surveying and mapping optimization module is used for carrying out collaborative decision optimization on the local path and updating the acquisition path according to a collaborative decision optimization result. The technical problems of low surveying and mapping efficiency and large measurement error caused by difficulty in meeting large-scale and high-precision surveying and mapping requirements of modern buildings in the prior art are solved, and the technical effect of improving the surveying and mapping efficiency and precision of the buildings is achieved.

A swimmer emergency alerting, tracking, rescue assistance, and rip current mapping system includes a stand and a life preserver that is removably mounted to the stand. The stand includes a solar panel or other charger, and the life preserver includes a battery receiving power from the charger and a sensor that is driven by the battery, such as to detect a location of the life preserver. The stand and the life preservers may wirelessly communicate with another device, such as a user device, to provide information on a status of the stand and the life preserver. A drone may fly from the stand and collect images of a shore, and the drone may process the images to identify a rip current. The drone may use data from a watercraft identifying rip current to train the processing of the images.

The invention relates to the technical field of unmanned aerial vehicle cooperative surveying and mapping, and discloses an unmanned aerial vehicle cluster cooperative space-space-ground integrated surveying and mapping system which comprises a space-time reference construction module, a multi-source data acquisition module, a distributed fusion optimization module, a system adaptive reconstruction module and a four-dimensional model generation module. An internal high-precision space-time reference independent of the GNSS is constructed; uniformly modeling the whole surveying and mapping task into a space-time factor graph through a distributed fusion optimization module, and solving the space-time factor graph; and closed-loop adaptive adjustment is performed on the geometric configuration of the beacon network and the measurement data quality through a system adaptive reconstruction module. The technical problem that a traditional surveying and mapping system is poor in precision and reliability in a GNSS disturbed environment is solved, the robustness, autonomy and environment adaptability of the system are remarkably improved by constructing a self-consistent internal reference and introducing intelligent feedback control, and a globally consistent high-precision four-dimensional space-time model can be efficiently generated.

The embodiment of the invention provides an ophthalmology knowledge graph construction method and device, equipment and a medium, and relates to the technical field of ophthalmology graph construction, and the method comprises the steps: obtaining an ophthalmology teaching material document, carrying out the theme division, obtaining at least two ophthalmology theme chapter blocks, carrying out the paragraph segmentation of each chapter block, and forming at least two ophthalmology paragraph blocks, then performing entity extraction on each paragraph block to obtain an initial ophthalmology entity list, performing semantic screening through a preset large language model in combination with semantic matching prompt words, paragraph topics and the initial entity list to obtain a target ophthalmology entity list, and standardizing a target entity name by using a term concept unique identifier mapping system to obtain a target ophthalmology entity list; according to the method, the target entity list is updated, finally, the basic ophthalmology knowledge graph is generated based on the updated target entity list, the basic ophthalmology knowledge graph is fused with the preset medical ontology library knowledge graph, and the extended ophthalmology knowledge graph is constructed, so that the efficiency and accuracy of obtaining information of related diseases are improved.

The invention discloses an intelligent surveying and mapping system for catenary equipment in a tunnel, which relates to the technical field of catenary engineering detection and comprises a multi-source data acquisition module, a multi-source data fusion module, an identification and parameter calculation module, a modeling and interaction module and a data management and application output module. According to the invention, by deploying the multi-dimensional sensor, the limitation of traditional manual inspection or dependence of a single sensor is broken through aiming at the environments of insufficient illumination, high dust concentration and the like in the tunnel, the laser scanner can penetrate through the dust to obtain the three-dimensional geometric framework of the equipment, and the Beidou positioning assembly is bound with the collection action in real time; the problem of positioning deviation caused by weak GPS signals in the tunnel is solved, the environment sensor group monitors parameters such as temperature, humidity and illumination in real time, and through a dynamic adaptation fusion coefficient formula, sensor data weight is calculated, original coordinate deviation is corrected, a four-dimensional fusion data set is constructed, and errors caused by environment interference or data isolation in a traditional method are solved.

The invention belongs to the field of data processing, particularly relates to a wind turbine generator gear box tooth surface strength optimization method considering multi-working-condition load distribution, and aims to solve the problem that the optimization effect is affected due to the fact that strength optimization checking is carried out only for a single working condition in the prior art. The method comprises the following steps: acquiring working condition data of the gearbox under various preset working conditions; load spectrum decoupling processing is conducted on the working condition data, a dynamic load distribution matrix synchronous with the tooth surface meshing period is determined, stress field conversion is conducted on the dynamic load distribution matrix, and a tooth root bending stress field and a tooth surface contact stress field are obtained; inputting the tooth root bending stress field and the tooth surface contact stress field into a pre-constructed double-constraint optimization model to obtain a tooth surface strengthening parameter tensor output by the model; and inputting the tooth surface strengthening parameter tensor into a preset process mapping system. Based on the method provided by the invention, the multi-working-condition operation data of the gearbox are synchronously obtained for optimization calculation, and the limitation of traditional single load analysis is broken through.

The invention discloses a building surveying and mapping system based on an unmanned aerial vehicle remote sensing technology, and belongs to the technical field of building surveying and mapping. Comprising the following modules: a multi-sensor data acquisition module and an unmanned aerial vehicle data acquisition platform based on an integrated RGB camera, a laser radar and a multi-spectral sensor; the preliminary image processing module is used for generating standardized image data for scene analysis; the intelligent scene recognition module outputs a scene classification result and preliminary complexity grade evaluation; the self-adaptive decision module is used for generating an initial image processing parameter combination according to a scene recognition result; the dynamic image processing module is used for executing regional image registration, correction and seamless splicing based on the initial parameter combination to generate a building orthoimage; and the real-time quality evaluation module monitors and evaluates geometric accuracy and visual quality in the image processing process in real time.

The invention discloses an SLAM front-end optimization method based on brightness grading and gradient constraint, and relates to the technical field of computer vision and vision SLAM. In order to solve the defects that adaptive grading enhancement and parameterization control based on illumination types are lacked in the prior art, and feature point quality, spatial distribution uniformity and front-end real-time performance are difficult to consider in a high-frequency input scene, the invention provides a comprehensive brightness grading and feature optimization scheme. The method comprises the following steps: firstly, calculating the average brightness of an input image, dividing the image into a dark light type, a normal type and an overexposure type, and respectively adopting gamma correction, contrast limited adaptive histogram equalization and inversion enhancement strategies for different types to realize illumination adaptive enhancement; then screening high-quality feature points with significant local curvature changes; and updating the detection area. According to the method, the feature stability, the matching precision and the real-time performance of the SLAM front end in a complex indoor environment are remarkably improved, and the method is suitable for a self-localization and mapping system.

The invention relates to the technical field of intelligent surveying and mapping, and discloses an intelligent surveying and mapping system for urban surveying and mapping based on Internet of Things, which comprises a data acquisition module, a surveying and mapping data processing and integration module, a surveying and mapping data analysis module, an intelligent identification module and a result output module, through the arrangement of the surveying and mapping data analysis module, point cloud data and image data in surveying and mapping data are processed and integrated to improve the accuracy of the surveying and mapping data, the surveying and mapping data of different data sources and data types are analyzed in corresponding modes, and then a point cloud processing model and an image processing model are constructed to improve the accuracy of the surveying and mapping data. According to the method, the point cloud data and the image data are analyzed respectively, and then the point cloud data and the image data are combined to obtain the final earth surface object category, so that the accuracy of urban earth surface object recognition by the surveying and mapping data is improved, and meanwhile, a foundation is laid for subsequent intelligent recognition of suspicious targets.

The invention belongs to the technical field of surveying and mapping, and provides a power transmission and transformation line environment water conservation information surveying and mapping system based on resolution optimization, and the system comprises a basic information obtaining module which is used for obtaining a remote sensing image of power transmission and transformation line environment water conservation through shooting by using a high-resolution satellite and combining with an unmanned aerial vehicle, and obtaining basic information; the information optimization module is used for performing partial content optimization on the basic information by using ground measurement equipment to obtain optimized basic information; and the surveying and mapping implementation module is used for drawing the ring water conservation information of the power transmission and transformation line based on the optimized basic information. According to the method, the remote sensing image of the power transmission and transformation line environment water conservation is shot by using the high-resolution satellite in combination with the unmanned aerial vehicle and the ground measurement equipment, and the power transmission and transformation line environment water conservation information is drawn based on the remote sensing image, so that the drawing quality of the power transmission and transformation line environment water conservation information can be improved; and data support is provided for whole-process management and control of power transmission and transformation project environment water conservation.

The invention discloses a semantic matching-based field name standard abbreviation mapping method and system, and particularly relates to the technical field of data governance, a source field set to be subjected to abbreviation and a standard field set in a standard field library are acquired, field names and field descriptions are normalized, and field text representation is generated; using the pre-training language model to generate a semantic vector and recalling a candidate mapping pair set; calculating character string similarity, synonym expansion matching score, data type consistency score and sample value pattern consistency score for the candidate mapping pairs; generating a neighbor confusion risk index based on semantic neighbor density, entity category distribution deviation, synonym expansion and context anti-verification, performing risk gating correction, and judging a score in combination with a difficult case; and applying table-level consistency constraints in the same service table or entity domain to carry out joint consistency solution to obtain a table-level optimal mapping scheme, generating confirmation confidence, and outputting an automatic confirmation or manual recheck mapping result.

System and techniques to map a workspace for a robotic device are described herein. The robotic device has a movable portion with a sensor that is used to capture readings from part of the workspace. These readings are used to map a portion of the workspace and then to plot a new position of the movable portion to get readings for another part of the workspace. As the technique iterates, the robotic device is able to safely and efficiently map the entirety of the workspace.

The invention belongs to the technical field of intelligent surveying and mapping in the building and engineering field, discloses a building structure three-dimensional intelligent surveying and mapping system based on multi-modal point cloud fusion, and mainly solves the problems of dynamic deformation capture and the like of a building structure under a complex load. Triggering a point cloud acquisition event, and generating a space-time reference alignment packet; building contour features are extracted, aerodynamic parameters are associated, an aerodynamic attribute label library is generated, wind pressure coefficient distribution of a building is obtained, and an aerodynamic coupling response spectrum is constructed; driving full-field wind pressure distribution reconstruction of the building structure, generating instantaneous wind pressure peak data, dynamically updating a damping ratio, and generating a non-stationary response quantization packet; constructing a wind pressure-deformation conformal mapping rule, generating a wind pressure-deformation conformal model, triggering risk early warning, and generating a dynamic safety instruction set; and reversely optimizing and adjusting related parameters, and generating a dynamic optimization strategy packet.

The invention relates to the technical field of surveying and mapping, and discloses a surveying and mapping system and method based on multi-source data fusion, and the method comprises the steps: collecting the image data of a to-be-surveyed area, collecting the illumination intensity of the to-be-surveyed area and the inertial data of an unmanned plane in real time, and judging whether to start LiDAR ranging; when it is judged that starting is conducted, image data and point cloud data are obtained, and the point cloud data are processed according to the timestamp of the image data; processing the image data to determine a high-contrast area, and converting image coordinates in the image data into global coordinates; denoising the point cloud data after time synchronization to generate a digital elevation model; and aligning the high-contrast area and fusing other areas in the image data according to the digital elevation model to obtain a surveying and mapping model. By fusing the optical image and the LiDAR data, the limitation of a single surveying and mapping means is overcome, and the precision and reliability of the surveying and mapping model are improved.

The invention discloses a spatial deformation analysis method and system based on unmanned aerial vehicle surveying and mapping and a set unmanned aerial vehicle surveying and mapping system, and the system comprises a data acquisition module S1, a preprocessing module S2, a deformation analysis engine S3, a visual early warning module S4, a report generation module S5 and a system management module S6. Space reference precise transmission, error space distribution modeling, multi-source data space fusion and cross-scale three-dimensional field construction are realized, and'dynamic environment anti-interference 'and'error space-time propagation control' are broken through, so that all-weather credible perception of geologic body millimeter-level deformation is realized. According to the spatial deformation analysis method and system based on unmanned aerial vehicle surveying and mapping, through triple optimization of multi-source sensing fusion, error spatial modeling and a self-adaptive algorithm, the defects of traditional unmanned aerial vehicle deformation monitoring in the aspects of complex environment adaptability, precision reliability and automation degree are overcome, a long-time-sequence error propagation model and edge calculation acceleration are broken through, and the method and the system have good application prospects. Therefore, millimeter-level near-real-time early warning of geological safety risks is realized.

System and method permit patent mapping. A method may comprise maintaining a database of patent portfolios and a database of patents with each patent stored in the database of patents associated with one or more patent portfolios stored in the database of patent portfolios. A search query may be received associated with a first patent portfolio and the first portfolio may be searched as a function of the search query. Search results may be generate which include one or more patent claims associated with the search query. The one or more patent claims may be mapped to a patent concept.

The invention discloses a mountain multi-dimensional surveying and mapping method and system, and relates to the technical field of mountain surveying and mapping, a mountain surveying and mapping system is determined according to the area of each sub-mountain region, the corresponding form and the relative position of each sub-mountain region, and multi-dimensional control of the mountain surveying and mapping system is realized. In a mountain surveying and mapping system, a plurality of corner positions are determined according to traversal of each sub-mountain area, and a mountain surveying and mapping route is determined based on the plurality of corner positions, the material of the sub-mountain area and the surrounding environment of the sub-mountain area. A surveying and mapping process table of the mountain is determined according to a surveying and mapping route of the mountain, a space area of two adjacent sub-mountain areas and a surveying and mapping tool matched with the unmanned aerial vehicle, a supplementary surveying and mapping area is determined based on each surveying and mapping item in the surveying and mapping process table of the mountain, corresponding surveying and mapping data and a three-dimensional model of the mountain, and multiple surveying and mapping of the mountain are achieved.

A guidance system for efficiently providing a mapped path for a shopper in a store. The guidance system including one or more processors and one or more tangible, non-transitory, computer-readable media storing instructions, wherein the instructions, when executed by the one or more processors, cause the guidance system to analyze data indicative of a plurality of purchase items, map each purchase item of the plurality of purchase items to a respective purchase item location in a store to provide a mapping of the plurality of purchase items, determine a route through the store based on the mapping of the plurality of purchase items such that the route includes the respective purchase item locations, and provide a display of the route including a graphical indication of each of the respective purchase item locations via a graphical user interface of a computing device.

The invention relates to the technical field of hybrid granularity mapping, in particular to a hybrid granularity mapping system based on data compression. Comprising a data preprocessing module, a compressed sensing block division module, a dynamic compression execution module, a mixed granularity mapping module, an entropy balance metadata module, a dynamic wear distribution module, a compressed sensing recovery triggering module and a self-adaptive strategy optimization module. The data preprocessing module is used for data stream fragmentation and hot and cold data identification; and the compressed sensing block division module is used for entropy-driven block division and compressed residual prediction. Through an entropy-driven dynamic blocking mechanism and a compressed sensing recovery strategy, data features are quantized through information entropy, a compressed residual space is predicted through LSTM, block granularity and a GC strategy are optimized in real time in combination with a genetic algorithm, optimal matching of compression efficiency and block allocation is achieved, compared with a traditional scheme, write amplification is reduced, effective storage density is improved, and the compression efficiency is improved. Meanwhile, the service life of equipment is prolonged through wear entropy balance, and the heterogeneous storage load adaptability is higher.