38results about How to "Guaranteed comparability" patented technology

The invention relates to the technical field of cell culture, and discloses a stem cell differentiation degree identification method based on image features. The method comprises the following steps: continuously capturing multi-temporal image data in a stem cell culture process through a high-resolution microscopic imaging system, and generating an image and environment synchronous data set; processing the data set, extracting dynamic morphological features and texture change modes of the stem cells, and constructing a fusion feature set; outputting a differentiation process index based on the fusion feature set; a differentiation degree grade division rule is set, and a differentiation process index and differentiation grade mapping table is established; in a real-time application stage, acquiring real-time imaging data and environment readings, and inputting the real-time imaging data and the environment readings into an evaluation network to calculate real-time differentiation process indexes; querying the mapping table according to the real-time index to obtain a differentiation grade judgment result; comparing the judgment result with a preset target range, and if the judgment result falls into the target range, automatically executing differentiation state marking and culture parameter adjusting operation.

The application discloses a high-pressure gas particle counter with a laser diode as a light source, which comprises an optical detection unit, a gas path system and a standard particle reference system, wherein the optical detection unit is used for generating laser and dividing the laser into two independent light paths, i.e., a main light path and an auxiliary light path, and is used for irradiating a main detection area and an auxiliary detection area respectively and receiving a particle scattering light signal and converting the particle scattering light signal into an electric signal; the gas path system is used for selectively conveying a high-pressure gas to be measured and a standard particle gas to the main detection area and the auxiliary detection area; the application belongs to the technical field of gas particulate pollution monitoring, and aims to solve the problem that the output light power of a laser diode in the prior art will drift with the increase of working time and the change of temperature, thereby causing the measurement reference to be inaccurate, and achieves the technical effect that a real-time online dynamic calibration mechanism is constructed by introducing an auxiliary reference light path and the standard particle reference system, and the problem of the measurement reference drift caused by factors such as light source aging and temperature drift is effectively overcome.

The application discloses a kind of based on big model's exclusive team performance portrait generation and intelligent evaluation system, belong to artificial intelligence and performance management technical field.The system includes data acquisition module, index system management module, performance calculation engine module, portrait generation module, big model intelligent analysis module and visual display module.Index system adopts four-level structure, including six first-level indexes, twenty-four second-level indexes, fifty-eight third-level indexes and a number of fourth-level indexes.Performance calculation engine is based on difference ratio method to calculate index score, portrait generation module generates radar chart, star rating and ranking, and big model intelligent analysis module is based on big language model to carry out intelligent evaluation and ability analysis.The application realizes the scientificity, intelligentization and visualization of exclusive team performance management, and provides strong support for exclusive team construction decision.

The utility model relates to the technical field of animal husbandry, in particular to a forage grass type total mixed ration test comparison observation feeding pen which comprises a base, a surrounding plate, a baffle, a hinged door, a handrail, a feed box and the like. The number of the bases is two, the bases are arranged in a bilateral symmetry mode, baffles are connected to the front sides of the bases, surrounding plates are connected to the left sides, the right sides and the rear sides of the bases, hinged doors are connected to the baffles in a hinged mode, at least two handrails are connected between the left inner walls and the right inner walls of the surrounding plates, at least six feed boxes are connected to the tops of the bases, and feed grooves are formed in the tops of the feed boxes. The fodder box, the fodder trough, the fixing block and the monitor are arranged, fodder with different nutritional ingredients can be independently separated, herbivorous livestock is prevented from eating forage grass type total mixed ration with different nutritional ingredients at the same time, the accuracy and comparability of comparative observation are guaranteed, the corresponding fodder box is monitored through the independent monitor, and therefore the fodder box is more accurate and more convenient to use. Therefore, the condition that herbivorous livestock eat forage grass type total mixed ration in different feed boxes can be obtained.

This invention relates to the field of tunnel construction technology, and more particularly to a system and method for dynamically optimizing tunnel construction parameters based on geological information from point cloud data. At multiple monitoring time points, point cloud data is collected from the tunnel segment to be constructed, obtaining multiple point cloud datasets. The tunnel segment is divided into multiple construction areas, and multiple regional point cloud datasets are obtained from these datasets. Point cloud change analysis is performed on each regional dataset to obtain multiple point cloud change rates. Based on these regional point cloud datasets, reflection intensity analysis is conducted to obtain multiple reflection intensity coefficients. Combined with the multiple point cloud change rates, geological analysis is performed to obtain the distribution of concealed geological information. Based on this distribution, tunnel construction parameters are dynamically optimized to obtain optimized tunnel construction parameters for tunnel construction. This achieves the technical effect of improving the efficiency and safety of tunnel construction while reducing construction risks and costs.

This invention relates to the field of perioral muscle function detection technology, and discloses a flexible sensing integrated tongue muscle function detection system and method. The system includes: a brace-type flexible thin-film sensor, a wireless transmission module, and a control module. The brace-type flexible thin-film sensor is configured as a wearable brace structure, and internally contains a sensor array composed of multiple sensing units distributed in the maxillary and lateral tooth regions corresponding to tongue muscle activity. The wireless transmission module is located in the lateral region of the upper molars and is connected to the brace-type flexible thin-film sensor via a flexible printed circuit. The control module is connected to the wireless transmission module and includes a calibration module, an initial value determination module, a correction module, and a data storage and communication module. This invention achieves precise, non-invasive, and real-time monitoring of tongue muscle activity.

The application relates to the technical field of active sonar detection, in particular to a transmission waveform selection method for target wake field disturbance detection, which comprises the following steps: applying uniform engineering constraints to selected engineering realizable waveforms to construct a candidate transmission waveform set of a detection system; equivalent the influence of target wake field disturbance on sound propagation to a time delay perturbation process of multi-path propagation, and establishing a target wake field disturbance sensitivity model accordingly; using the target wake field disturbance sensitivity model, calculating the sensitivity indexes of each candidate transmission waveform in the candidate transmission waveform set and sorting, taking the candidate transmission waveform with the largest sensitivity index as the optimal transmission waveform most suitable for target wake field detection; instructing the transmission end of the detection system to transmit a sound wave signal based on the optimal transmission waveform. The method can improve the observability of weak propagation time-varying characteristics caused by wake disturbance, and make the selection of the transmission waveform have stronger explainability and scene adaptation ability.

The invention provides a sintering main exhaust fan energy efficiency evaluation method, device and equipment and a storage medium, and aims to overcome the limitation that an existing evaluation method is single in index, fuzzy in reference and incapable of quantifying each technical contribution degree. The method comprises the following steps: acquiring operation data of a historical reference period before the energy-saving system is put into operation, and calculating reference line indexes of power consumption per ton of sinter and comprehensive energy consumption; operation data of an evaluation period after commissioning is obtained, the evaluation period and a historical reference period are statistical periods with the same time length, and energy type and carbon effect type indexes of the evaluation period are calculated; and comparing the indexes and generating a visual evaluation report. According to the method, the comprehensive energy consumption scale and the carbon efficiency index are established, so that energy and carbon emission two-dimensional evaluation is realized; the data comparability is ensured through the matching period and the same-caliber statistics; and finally, an integrated report is generated, the data is converted into visual decision information, and a standardized assessment normal form is provided for energy-saving technology optimization and carbon asset management.

The invention relates to the technical field of education information processing, and discloses a companion bidirectional evaluation method and device, electronic equipment and a storage medium, and the method comprises the steps: building an evaluation group, determining a mutual evaluation object, distributing the homework content of an evaluated person to an evaluator, and feeding back the homework content evaluation result to the evaluated person after the evaluator submits the homework content evaluation result. The evaluated person performs quality evaluation on the homework content evaluation, and determines whether the evaluator has an abnormal evaluation behavior or not according to the homework content evaluation result set and / or the quality evaluation result set; and when it is determined that the evaluator does not have the abnormal evaluation behavior, a companion bidirectional evaluation result is obtained, so that bidirectional evaluation of the homework content and the evaluation quality is realized, abnormal behavior recognition is realized, the fairness of companion mutual evaluation is improved, and thus the teaching quality of companion mutual evaluation and the evaluation ability of learners are improved.

The invention relates to the technical field of craniocerebral injury biomechanical analysis, discloses a semi-automatic craniocerebral injury index CSDM extraction method, and aims to improve CSDM extraction efficiency, applicability and flexibility. The method comprises the following steps: a brain tissue area display state pre-selection step: importing a head model simulation result file into post-processing software, screening and retaining brain tissue entity unit components, hiding irrelevant components and recording parameters; a strain and volume frame-by-frame output step: compiling an automatic script based on a post-processing software secondary development function to realize frame-by-frame output of unit data; and an automatic operation step: automatically calculating the CSDM value of each frame based on the output file through a Matlab calculation program. According to the method, the problems that manual extraction is low in efficiency and prone to errors and a full-automatic method is poor in universality are solved through a manual preprocessing and automatic calculation fusion mode, and the method is suitable for various head models and supports craniocerebral injury mechanism research and clinical assistance.

The invention relates to the technical field of farmland improvement, in particular to a farmland improvement zoning method and system, and the method comprises the following steps: 1, zoning factor selection and weight calculation; 2, processing partition basic data; 3, partition factor calculation and statistics; 4, performing partition data standardization calculation; and 5, constructing an accurate zoning model for farmland improvement. According to the method, farmland improvement suitability zoning can be accurately carried out, and a scientific and reasonable basis is provided for farmland improvement project planning and design.

The present application relates to a kind of methods for accurately analyzing the influence degree of ground via position on signal via, establish the electromagnetic simulation model containing signal via and ground via, ground via is set at the zero distance reference point coinciding with signal via, the distance of ground via relative to signal via is defined as parameterized variable, the insertion loss value of signal via under each distance is obtained successively by parameterized scanning simulation, and the quantitative corresponding relationship of distance and loss is established;Respectively calculate the loss margin coefficient and layout feasibility coefficient under each distance, and construct comprehensive evaluation index Q (L), under the constraint condition that insertion loss is not over standard and distance does not exceed layout space, the distance that makes Q (L) maximum is selected as the target placement distance of ground via.The selection of ground via distance is changed from qualitative judgment depending on subjective experience to quantitative optimization solution with explicit mathematical expression, and the multi-objective trade-off between signal performance requirement and layout space constraint is realized.

This invention discloses a scalable distributed multi-chamber open-path photosynthetic measurement system and method, relating to the field of plant physiological and ecological measurement technology. The system includes a main unit and at least two distributed chambers. The main unit centrally manages gas supply, concentration mixing, flow control, and high-precision concentration differential analysis. Each chamber is an independent unit, equipped with an adjustable LED light source, thermoelectric temperature control module, multiple types of sensors, independent power supply, and wireless communication module. An open path is formed through the gas supply pipeline and the return pipeline. The core of the method lies in the main unit polling and sampling the return gas from each chamber according to a preset program through a multi-channel automatic switching valve group. Combined with a "flushing stabilization" strategy, a single gas analysis unit is used to achieve high-precision, high-throughput parallel measurement of multiple chambers. This invention solves the problems of low throughput and high cost of traditional open-path instruments, achieving a balance between high precision and high throughput, and supports in-situ deployment in the field and remote monitoring.

The application discloses a kind of golf intelligent ball and training control method and system of voice interaction, wherein the method comprises: voice wake-up and parse user natural language instruction, generate structured training parameters;Safety interlock check is carried out through multi-source sensor;According to parameter generation and execution, ball, ball and ball position adjustment action sequence;After successfully putting, generate unique round ID and prompt;Collect the result of hitting ball, and training parameters, action log, safety data and the result of hitting ball are bound and stored, and execute according to rhythm cycle.The system includes voice acquisition, semantic understanding, action planning, ball execution, safety interlock and round binding module.The application realizes the whole process automatic control and data closed loop of voice-driven golf training, improves training efficiency, safety and data degree, and supports adaptive intelligent training optimization.

This invention discloses a test device and method for the impact performance of an engine conical wall structure, belonging to the technical field of aero-engine structural strength testing. The device includes: a hammer for generating a falling impact; a transition assembly for an interference fit connection with the front end of the conical wall structure; a bracket for a fixed connection with the rear end of the conical wall structure; a protective assembly positioned along the hammer's descent path and on the side of the conical wall structure to catch the hammer after the conical wall structure fractures; and a protective box positioned directly below the conical wall structure to receive the failed falling conical wall structure. The method includes static load calibration and dynamic impact testing steps. This invention can meet the requirements for both split and integrated installation of conical wall structures, achieving a stable connection and dual safety protection under high-energy impacts. It can simultaneously complete static load calibration and dynamic impact integrated testing, ensuring safe and reliable testing.

The application relates to the technical field of automatic testing and performance detection, and particularly discloses a head multi-claw massager performance detection system, which aims to solve the problem that the prior art cannot automatically, highly accurately and integrally comprehensively detect a multi-claw massager. The system comprises an integrated detection platform, a multi-modal sensing array, a high-speed data acquisition and processing unit and a comprehensive performance evaluation unit. A bionic head model carries the massager to be detected, and simultaneously collects mechanical, kinematic and acoustic vibration signals during operation of the massager, and through multi-source information fusion and correlation analysis, quantitative evaluation and comprehensive diagnosis are realized on the single-claw performance, multi-claw collaboration and internal mechanical state of the massager.

The invention relates to the technical field of surface plating and vacuum film deposition, and discloses a turbine rotating blade surface hot film coating lead structure and a preparation method. According to the method, a traditional wire pasting mode is abandoned, a magnetron sputtering technology is adopted to directly deposit and form a film coating lead on an electric insulation layer after blade base body cleaning and activating treatment, and the tail end of the end face of a tenon continues to be thickened and deposited to form an integrated end face circuit and a contact. The film-coated lead continuously extends from a hot film sensor pin, crosses a blade pneumatic surface, a blade root and a rotor-stator blade sealing structure, ends at the tail end of a tenon end face instead of a mortise and is finally welded with a signal wire, and the signal wire is led out to an external shaft end through a wheel disc vent hole. The technical problems that a traditional lead is prone to breakage, degumming and the like under high-speed rotation are solved. The thickness of the coated lead is only 2-3 microns, the adhesive force is strong, the reliability is high, the preparation process is standardized, and the consistency and repeatability of experimental data are ensured.

The invention relates to the technical field of enterprise informatization management and multi-source data integration, and discloses a multi-source data standardization processing method and system based on ERP, and the method comprises the steps: obtaining an original data set of a purchasing system and an original data set of an inventory system, and generating a standardized data set; determining a field attribute mapping relationship between the purchase field and the inventory field; constructing a unified dimension conversion model to calculate a conversion factor to obtain a standardized data set; verifying the standardized data set to generate a qualified data set; constructing a service time sequence list on the basis, and obtaining an anomaly detection result; and generating final integrated data according to the anomaly detection result. According to the method, semantic alignment and dimension unification of multi-source data can be realized, and data consistency and decision accuracy are improved.

The invention relates to the technical field of agricultural big data and intelligent traditional Chinese medicine planting evaluation, and discloses a traditional Chinese medicine planting site selection evaluation method based on big data. According to the scheme, sunshine and soil salt content collection devices are deployed in candidate places, sampling is carried out daily to form two types of sequences, and a mean value is solved; normalizing a global minimum value and a global maximum value into standardized sunlight and low salt indexes, and carrying out arithmetic averaging to obtain baseline suitability; a perturbation step length is set according to the range and the candidate number, positive and negative disturbance and amplitude limiting are carried out on sunlight and salt, and four types of disturbance baselines are reconstructed after normalization; the sunlight sensitivity and the salt-containing sensitivity are added according to the ratio of the actual standardized step length to the suitability change, a penalty term is generated by taking the maximum value of the whole, the robustness suitability is obtained through deduction and amplitude limiting, and then quantile grading is used; and finally summarizing the longitude and latitude to form a structured result table.

The application discloses a wake classification and identification method based on a triboelectric sensor, and the method comprises the following steps: collecting a voltage time sequence signal through a fish tail-shaped triboelectric sensor; performing time domain filtering processing on the voltage time sequence signal, presetting corresponding wake category labels and different wake intensity level labels corresponding to the same wake category, and obtaining sample data; performing data segmentation on the sample data to obtain a data sample set; constructing a wake classification and identification model; performing model training on the constructed wake classification and identification model through the data sample set to obtain an optimal wake classification and identification model; and performing wake classification and identification and wake intensity grading according to the optimal wake classification and identification model. The method can effectively capture weak wake signal and suppress background noise, and can identify the nonlinear relationship and multi-scale time dependence hidden in the waveform.

The invention provides a dynamic evaluation method and system for a wetland ecosystem based on digital twinning, and relates to the technical field of ecological environment monitoring and evaluation. According to the method, a unified space framework is constructed, remote sensing time sequence data, in-situ monitoring data and patrol survey data are fused, the wetland digital twinborn body is established, and continuous updating of the ecological state is achieved. A comprehensive evaluation value and a grade conclusion are generated based on the twinborn state sequence, a risk early warning and driving attribution result is output in combination with a threshold library and a management target library, a measure scene parameter set is further introduced to carry out scene evaluation, and a quantitative basis is provided for wetland refined management and protection and decision making.

The invention discloses an accounting system for carbon emission of domestic animals in a family pasture, and relates to the technical field of carbon emission. The invention relates to a household pasture livestock carbon emission accounting system, which comprises a parameter database module, a seasonal feeding day number dynamic calculation module, a daily ration dry matter intake and nutritional ingredient accounting module, an IPCCTier2 execution core emission calculation module, a module for uniformly converting into carbon dioxide equivalent and summarizing, and a batch processing and result output module. The precision of micro-scale accounting is fundamentally improved, fine distinguishing and dynamic accounting of seasonal feeding modes and different livestock life stages are achieved by introducing localized parameters, the deviation of a traditional Tier 1 method is overcome, the standardization and efficiency of scientific research are enhanced through the model, and the method is suitable for large-scale popularization and application. An input and output interface and an end-to-end automatic calculation chain eliminate ambiguity possibly generated when researchers interpret and splice complex formulas by themselves, and the comparability between different research results is guaranteed.

The invention relates to the technical field of wire coating thickness measurement by an electron microscope, in particular to a wire coating thickness measurement and uniformity evaluation method based on image processing. Comprising the following steps: vertically cutting a wire sample and preparing an observation surface; acquiring a clear image of the section of the coating by using a scanning electron microscope back scattering electron mode; carrying out binarization processing and interface repair on the image, and extracting a plating layer area; carrying out equidistant segmentation on the regional image along the extension direction of the plating layer, measuring the area of each segmented region, and calculating the local thickness; based on all local thickness data, an average thickness and a standard deviation are calculated. According to the method, image segmentation and statistics are combined, so that the average thickness can be obtained more accurately, the standard deviation of the coating uniformity can be directly output in single measurement, and comprehensive and objective data support is provided for product quality control and process optimization. The method is suitable for various materials and coating systems, and has the advantages of high scientificity, high repeatability and comprehensive information.

The application discloses a brain function analysis method and device based on three-dimensional pseudo-continuous arterial spin labeling, and the method comprises the following steps: extracting a cerebral blood flow map from a three-dimensional pseudo-continuous arterial spin labeling image of a subject; obtaining a relative cerebral blood flow map of the subject based on a three-dimensional T1 weighted imaging image of the subject through an implicit neural cross-attention registration model; the implicit neural cross-attention registration model uses a double-flow implicit neural field and a cross-attention mechanism to obtain the relative cerebral blood flow map under a standard brain space; registering the relative cerebral blood flow map of the subject with a standardized brain function partition map to obtain a relative cerebral blood flow map of each brain function partition; calculating a perfusion parameter value set of the cerebral blood flow of each brain function partition, analyzing the brain function activity of each brain function partition, and finally determining the brain function state of the subject. The application can accurately analyze the brain function partition state.

The application relates to the technical field of angle-resolved photoelectron spectroscopy experimental instruments, and discloses an angle-resolved multi-electron coincidence measurement system and method based on an event-type delay line detector, which comprises an angle-resolved energy analyzer, an event-type delay line detector, an external trigger and synchronization module and a time digitization readout module. The detection surface of the event-type delay line detector is divided into at least two independent areas, which are used for receiving photoelectrons in parallel and independently outputting event signals; the external trigger and synchronization module is used for generating a unified trigger period to establish a global time reference; the time digitization readout module is used for receiving the event signals and generating time stamps; and the data acquisition and processing module is used for performing correlation selection based on the time stamps in the same trigger period. The application reduces the dead time through multi-area parallel readout, realizes unified time base calibration through time baseline calibration and delay compensation, can realize multi-electron coincidence measurement while maintaining the angle-resolving capability, and is suitable for pulsed or continuous light sources.

The invention relates to the technical field of biomedicine, and discloses a spatial transcriptome-based organizational structure disorder degree evaluation method, system, equipment and medium, and the method comprises the following steps: acquiring spatial transcriptome sequencing data of biological samples of the same part of a target group; the method comprises the following steps: integrating space transcriptome sequencing data to obtain a gene expression matrix and coordinate information, carrying out site type identification, carrying out tissue segmentation through an improved simple linear iterative clustering method to obtain a plurality of superpixels, identifying a preset microenvironment from the superpixels and obtaining a Shannon entropy of the occurrence frequency of the preset microenvironment, correcting the Shannon entropy by using the most confused entropy value to obtain a final entropy value; and comparing the overall distribution of the organization structure entropies of the different types of groups to obtain the organization structure disorder degree difference of the different types of groups. According to the method, the influence of batch effect and heterogeneity between samples on evaluation of the disorder degree of the organization structure can be avoided, and the corrected Shannon entropy can accurately quantify the disorder degree of the organization structure.

This invention discloses an intelligent inspection grid positioning and data management method for large-area continuous engineering facades, relating to the field of engineering safety monitoring and inspection technology. It is particularly applicable to engineering facades with large areas, continuous surfaces, and lacking significant feature points, such as dam faces and engineering slope surfaces. The method includes: firstly, unified management of positioning and image data collected by intelligent inspection equipment, mapping the collected data onto an orthophoto map of the large-area continuous engineering facade to facilitate accurate location and tracking of defects during inspection; secondly, a grid-based representation method for surface defect data of large-area continuous engineering facades is proposed, establishing a grid-based defect data representation model for large-area continuous engineering facades to achieve standardized recording and efficient management of defect information.

This utility model relates to the field of animal experimental auxiliary tools, specifically to a point marking device for corneal suture modeling, comprising: an angle adjustment component, including a first rod and a second rod hinged together at their first ends, the first rod and the second rod being rotatable relative to a first axis to change the angle formed between the first rod and the second rod; and an angle fixing rod connected to the second ends of the first rod and the second rod. This utility model is based on a corneal compass with structural improvements. Multiple arc-shaped elastic strips are set on two rods whose relative angle can be changed. By changing the angle between the two rods, the elastic strips can be bent to a curvature matching different corneas. Multiple positioning rods on the elastic strips are in clearly defined relative positions, and the vertical projection of the multiple positioning rods can form multiple clearly defined relative position marking points, ensuring the comparability of modeling results from different experimenters and different batches of animals.

The present application relates to the technical field of low-carbon operation of integrated energy systems, and discloses a low-carbon transformation path planning method for an electric heating system, comprising the following steps: system construction: constructing an electric heating system, wherein the electric side at least includes a conventional power generation unit and a renewable energy power generation unit, and the thermal side at least includes a combined heat and power unit and a thermal load; and at least one coupling device is configured to improve the flexibility of the system, wherein the coupling device includes an electric boiler, a heat pump, a thermal energy storage and a carbon capture device; fuel working condition setting: setting multiple fuel working conditions for the combined heat and power unit and the conventional thermal power unit as one of the low-carbon transformation paths, wherein the fuel working conditions at least include a pure coal working condition, a pure natural gas working condition and a natural gas hydrogen blending working condition. The present application can output phased transformation schemes for different investment constraints, technical maturity and carbon emission reduction targets, and can provide a basis for the comparison and selection of low-carbon transformation paths and operation decisions of the electric heating system.

This invention relates to the field of population spatiotemporal distribution modeling technology, and proposes a population model generation method based on crowdsourced data, comprising the following steps: Step 1, collecting socioeconomic and natural environment data to obtain standardized multi-source raster data; Step 2, based on the standardized data, constructing a daytime population weight layer by training a heterogeneous basic regression model with five-fold cross-validation and building an adaptive spatial weighted support vector regression meta-learner; Step 3, extracting building volume and nighttime light intensity raster layers from the standardized data to construct a nighttime population weight layer; Step 4, constructing a non-working day population weight layer by weighted fusion based on the day and night weight layers; Step 5, constructing basic spatial mapping units to complete high-scale downscaling reconstruction of population space, obtaining initial high-resolution population distribution results; Step 6, introducing a time smoothing model to correct the temporal inconsistency problem of the initial results, generating the final population distribution model. This invention effectively solves the problems of insufficient spatiotemporal resolution, poor time-segment adaptability, and unreasonable assignment of missing data areas in traditional population distribution models, providing accurate, comprehensive, and highly usable population distribution data support for scenarios such as urban planning, resource allocation, and emergency management.