21 results about "Population statistics" patented technology

The invention provides an intelligent analysis method and device for population around a nuclear energy project factory site, and the method comprises the steps: constructing a factory site peripheral region image database through integrating a satellite map, GIS data and an unmanned aerial vehicle aerial image; automatically distinguishing buildings from non-buildings by using an image recognition algorithm, and intelligently classifying the buildings according to civil, office, commercial, industrial, cultural and other types; the population density or empirical parameters of various buildings are combined to calculate the total population number of single buildings and regions, and future population prediction based on the annual growth rate is supported. The system is further provided with a visual interaction interface, and parameter input, data storage, result query and report automatic generation are supported. According to the method, the automation, precision and high-efficiency level of demographic statistics around the nuclear power plant site is improved, the manpower and time cost is reduced, and scientific, dynamic and sharable data support is provided for nuclear power project site selection decision.

This invention relates to the field of ecological protection zone identification technology, and particularly to a method for improving the accuracy of the Human Footprint Index. The method comprises the following steps: S1, Population Grid Redistribution: A construction land mask is extracted from land cover data. Population statistics data from the construction land mask and population grid data are input into the iURBAN algorithm to redistribute the population grid data. Population statistics data are then used to verify the accuracy of the population grid data before and after redistribution. S2, Fragmentation Index Scoring: A movement speed grid is calculated. City tiers are classified based on land cover data. Based on the city tier classification and movement speed grid, different levels of urban patches representing urban edges are obtained. Landscape pattern indicators representing fragmentation are calculated, and fragmentation index scores are assigned based on the landscape pattern indicator calculation results. S3, Human Footprint Index Calculation. This invention redistributes population data from the population grid to optimize the population distribution and improve the accuracy of the population grid data.

The application provides a crowd statistical method and device based on confidence probability, comprising: obtaining an original picture for crowd quantity statistics; obtaining a feature map and a generated map corresponding to the original picture through encoding and decoding based on the original picture; inputting the original picture, the feature map and the generated map into a preset confidence probability model to obtain a confidence probability density map; inputting the feature map into a preset prediction neural network to obtain a prediction probability density map corresponding to the feature map; determining a real density map based on the confidence probability density map and the prediction probability density map, and performing crowd quantity statistics according to the real density map. In one aspect, the application reduces the data training model through encoding and decoding; on the other hand, the application screens the prediction probability density map by using the confidence probability density map, reduces the occurrence of false recognition, and thus improves the accuracy of crowd quantity statistics.

Embodiments of the present application disclose a region population statistics method and device based on motion state, equipment and medium. Among them, the method comprises: extracting the two-dimensional effective peak of the range-angle spectrum generated according to the radar echo data in the preset region, and extracting the interval feature and energy block feature of the two-dimensional effective peak; inputting the interval feature and energy block feature into the motion state classification model to determine the target motion state; determining the target motion state population classification model according to the target motion state; inputting the interval feature and energy block feature into the target motion state population classification model to obtain the population in the preset region. By executing the technical solutions provided by the embodiments of the present application, the motion state of the target in the region and the population in the region can be determined, and the accuracy of the region population statistics can be improved.

To provide a system for efficiently performing the management of stockpiles and the demand prediction of supplies, and for quickly executing fund raising or the order of supplies.SOLUTION: The system includes a means for acquiring stock data from a stockpile data base and updating the latest stock information to the data base, a means for analyzing population statistics data, human flow data, and past disaster data by using an AI model to predict a material demand, a means for generating a necessary material list on the basis of the predicted material demand, a means for analyzing an emergency request received from a disaster area and specifying a kind and an amount of a necessary material, a means for preparing an optimum distribution plan on the basis of geographical information of the disaster area and demand data at the site, and determining a delivery route and means, a means for receiving and collecting fund-raising data through a cashless settlement service, a means for ordering necessary materials through online shopping, and a means for arranging the ordered materials to be quickly delivered to the disaster area through a designated delivery company and tracking a delivery situation in real time.SELECTED DRAWING: Figure 1

The present application relates to the field of environmental protection, and particularly relates to a system for predicting domestic sewage and garbage based on urban color. The present application aims at the problem of low accuracy and timeliness of output results, and is difficult to accurately and timely grasp the change trend of domestic pollution load. By using the fusion and transformation of high-resolution urban street scene images and satellite remote sensing images, the color, texture and other landscape features in the images are extracted, and based on the deep learning framework, an innovative prediction model framework of domestic pollution load based on image features is constructed, realizing the analysis of the change characteristics of domestic pollution in time and space, fitting the current AI+GIS application scene, and solving the problem of lag and roughness of macro data characteristics such as social development and population statistics. Compared with the traditional model based on social panel statistical data, the present application has the advantages of short time step and strong spatial details.

A system that utilizes machine learning and deep learning to estimate the value of a collectible card. The system utilizes artificial intelligence (AI) to estimate the value of the card based on a number of parameters, including trends, card specification, grade, and population statistics. The system can be used to as predictive analytics or predictive modeling of collectible card prices.

The application discloses a smart military camp population statistics method based on edge computing and belongs to the technical field of power adjustment motors. The smart military camp population statistics method based on edge computing comprises the following steps: S1, deploying a sensor network; S2, setting an edge computing device in the military camp; the edge computing device has processing capacity and storage resources; S3, data acquisition and processing; the data collected by the sensor network is processed and analyzed in real time through the edge device; S4, edge computing and decision-making; the edge device processes and analyzes the collected data, identifies and tracks the movement and position of personnel, calculates the population statistics information in the military camp according to the collected data, and makes decisions to trigger an alarm and dispatch personnel; S5, the edge device transmits the processed data to the cloud for long-term storage and further analysis; and S6, a user interface and a report; a user interface is designed to view real-time population statistics information and historical data.

This invention provides a fine-scale population spatialization method that integrates geospatial and internet data. The method includes: obtaining residential building footprint data within the study area; constructing geographic grid data for the study area and determining the proportion of residential building footprint area in each geographic grid unit; obtaining the number of floors in internet-connected buildings within the study area, establishing a residential building floor estimation model, and determining the initial input values ​​for the residential building floor estimation model; calculating the estimated population for each administrative region, performing error verification with the corresponding administrative region's population statistics, iterating based on the error verification results, and optimizing and adjusting the parameters of the residential building floor estimation model. This invention constructs a population spatialization model by integrating land use (residential land), surface-covered building areas, and the number of floors in internet-connected buildings, classifying the population living in urban and rural areas to estimate the floor height of residential buildings, achieving fine-scale population spatialization with high accuracy.

This invention provides a method and system for optimizing the allocation of urban children's service facilities, comprising the following steps: First, an intelligent projection model is constructed based on population statistics, birth rate data, and death rate data of each street in the target area. This model projects the population age structure of each street for a preset year, obtaining predicted time-series data on the number of children and their spatial distribution density. Second, by combining the types, quantities, and spatial distribution of existing children's service facilities in each street, street types with different stages of supply-demand matching are identified. Third, by further combining the thermal distribution of the child population with the walkable range of children's service facilities, residential areas not covered by children's service facilities are identified. Fourth, based on the identification results of street types with different stages of supply-demand matching and residential areas not covered by facilities, the allocation levels of different types of children's service facilities in each street are compared horizontally to assess the balance of children's service facility allocation and generate optimization suggestions.

The invention discloses a statistical system and statistical method for people in an area, a monitoring camera port shoots all entrances and exits of a set area to provide the number of people entering and exiting each entrance and exit, and a server port is used for collecting, storing and analyzing data obtained by the monitoring camera port and fitting a personnel statistical error function to obtain a statistical result. The server port also calculates the real-time number of people remaining in a set area in combination with the original number of people remaining in the set area, the personnel access data and a personnel statistical error function, and the management department port is used for reporting the data to a superior department in real time to display the number of people present in the set area. According to the invention, the original number of people remaining in the set area and the statistical error which should be eliminated at the current time are calculated by means of big data analysis, so that the statistical error of people caused by the identification algorithm error of the image shot by the monitoring camera terminal is effectively reduced, and the accurate management and control of people entering and exiting in the set area are realized. The number of people in the display area can be counted in real time.

The application discloses a method and system for evaluating the accessibility of service facilities in urban and rural community life circles. First, high-precision road networks, residential plots, four types of public service facilities, and population statistics data are obtained. A walking travel impedance map containing traffic obstacles is constructed based on the road network. The single accessibility index is calculated using an improved two-step mobile search method. The facility weight is determined by the analytic hierarchy process, and the comprehensive accessibility index is obtained. The accessibility is spatially superimposed with population density and aging degree to identify the short-board area of facility configuration. The comprehensive accessibility, population size, and aging degree are used to calculate the rectification priority, and a hierarchical rectification priority map is generated. The application fully considers the walking traffic obstacles, facility service capacity, and distance attenuation, and quantitatively evaluates the actual situation. The short board can be accurately identified, and the rectification priority is given. The application provides efficient and reliable data support and intelligent decision-making basis for the layout optimization of public service facilities in urban and rural community life circles.

The invention discloses a historical population space reconstruction method and system based on altitude driving, a terminal and a storage medium, and the method comprises the steps: obtaining population statistical data in a historical period, and carrying out the preprocessing, and obtaining target historical population data; acquiring historical spatial data, performing matching processing on the historical spatial data and the target historical population data to obtain a three-dimensional structure database, and performing mask extraction and resampling processing to obtain target altitude data; constructing a population and altitude quantitative mapping relation model according to the target historical population data and the target altitude data; and according to the population and altitude quantitative mapping relation model, performing preliminary space distribution processing and loop iterative calculation on the target historical population data to obtain a historical population space reconstruction result. According to the method, the population distribution is quantitatively associated with the altitude, so that the population number in the historical period can be subjected to refined space distribution in the geographic unit, and the accuracy of generation of the historical population space reconstruction result is effectively improved.

The invention belongs to the technical field of natural disaster assessment. A flood-affected population assessment method based on three-dimensional building characteristics and spatial indexes comprises the following steps: establishing a three-dimensional building response model, and calculating an effective base area of a building through height / floor conversion; calculating a population density based on the effective base area and the population data; establishing multi-stage water depth submerging area statistics, and adopting an R-tree spatial index technology to realize rapid spatial analysis of submerging elements and buildings; calculating a submerged area through layer intersection; and generating a submerged population statistical table by taking the administrative division as a unit. The method is used for solving the technical problems that an existing disaster damage assessment method cannot reflect the limitation of three-dimensional characteristics of a building, and an existing flood disaster damage assessment method is low in calculation efficiency and precision.

The invention discloses a population prediction method based on multi-source data fusion. According to the population prediction method provided by the invention, by fusing multi-source data and improving a queue element method framework, high-precision prediction of the total population and age and gender structures in the future on fine geographic scales such as streets and communities is realized. The method comprises the following steps: firstly, performing clustering analysis by utilizing static characteristic data reflecting geographic unit attributes and planning, and dividing units into categories with different population evolution rules; furthermore, for each category, historical migration parameters are accurately quantified by fusing demographic statistics and individual permanent residence change data, and an exclusive migration prediction model is trained based on dynamic indexes, population feature factors and policy factors which change along with time. And finally, combining future parameter deduction in iterative prediction, and automatically calling a corresponding model to calculate mechanical growth. According to the embodiment, the accuracy and integrity of the prediction result are improved.

The application provides a community and enterprise cooperative meal assistance facility site selection optimization method and system, the method comprises the following steps: obtaining geographic information data, population statistics data and meal assistance demand data of demand points and candidate facility points from a multi-source heterogeneous data set; performing data preprocessing and demand uncertainty modeling processing on the geographic information data, population statistics data and meal assistance demand data to obtain a safety demand value of each demand point; according to the safety demand value of each demand point, a mixed integer linear programming model is established with the target of maximizing the effective coverage of the number of elderly demand persons, the model contains budget allocation constraints, facility capacity constraints, service range constraints and service uniqueness constraints; a reinforcement learning site selection environment is constructed according to the model objective function and constraint conditions, and based on a hybrid solving algorithm that fuses deep reinforcement learning and multi-level heuristic search, an elderly meal assistance facility site selection optimization scheme is generated. The application realizes efficient and reliable coverage of meal assistance service demand.

The application discloses a regional population statistics method and system based on an adaptive integrated model, and belongs to the technical field of artificial intelligence. The technical problem to be solved by the application is that the prior art is difficult to adapt to different shooting angles and distance scenarios for regional population statistics. The technical solution is as follows: the method is as follows: video data is acquired through a camera in a public area of a city, an image after frame extraction is acquired from the video data, the number and position information of human body targets in the image are acquired through a human body feature detection algorithm; whether the human body targets appear is judged according to the number and position information of the human body targets; the height-width ratio AR of the human body targets is compared with a threshold value AR th ; a shooting distance quantization coefficient DR is calculated according to the average target size; and regional population information and position information are acquired according to all head position information, human body feature position information, human body skeleton position information and face skeleton position information, and based on a weighted non-maximum suppression algorithm.

The invention relates to the technical field of medical diagnosis and artificial intelligence, in particular to a urinary tract disease prediction system based on multi-modal chromosome abnormality and clinical data, which integrates demographic statistics, clinical symptoms, laboratory detection, molecular biology of nine key chromosome sites and multi-dimensional data of images, and performs pre-processing and single-modal feature extraction to obtain a prediction result of the urinary tract disease. Fusion features are generated in a targeted mode through a task self-adaption fusion module, and then urinary tract epithelial cancer or neoplastic lesion positive prediction, positive sample TNM staging and pathological grading prediction and focus origin positioning are achieved through a multi-task model. According to the system, an edge cloud collaborative architecture is adopted, the computing power requirements of different medical institutions are met, the feature contribution degree is determined through an SHAP method, a visual clinical report is generated, the problems that in the prior art, multi-modal data integration is insufficient, and non-invasive staging and grading are lacked are solved, prediction reliability and clinical adaptability are improved, and support is provided for clinical auxiliary decision making.

The embodiment of the invention provides a tourist population monitoring method and system based on an agent map and a block chain, and a medium. The method comprises the steps of collecting tourist population multi-source data in a business district through a preset device, constructing an intelligent agent map according to the tourist population multi-source data for dynamic updating, performing multi-dimensional monitoring according to the intelligent agent map, obtaining classified tourist population multi-source data, encrypting the classified tourist population multi-source data, obtaining an evidence storage data packet, and storing the evidence storage data packet in the business district. Differentiated distribution of data management authority and sharing of tourist population multi-source data are carried out according to participating nodes, verification processing is carried out according to an evidence storage data packet, verification passing proportion data are obtained and compared with a preset threshold value, a credible tourist population monitoring report is obtained, and evidence storage is carried out on calling. Through multi-source data acquisition, agent graph construction, a multi-dimensional monitoring algorithm, alliance block chain node construction and monitoring result verification, accurate demographic statistics and behavior analysis results are realized, and data support is provided for urban business district planning, tourism resource allocation and public service optimization.

1. Name of the product in this design: Graphical User Interface for Real-Time Viewing of Population Flow in Electronic Devices. 2. Application of this design: This design is intended for use in electronic devices. 3. The key design features of this product are the graphical user interface content displayed in the electronic device. 4. The image or photograph that best illustrates the design's key features: the front view. 5. Purpose of the graphical user interface: This graphical user interface is used to establish a complete system for monitoring and early warning of population flow, and to monitor and display the population within the ecological protection red line in real time. The monitoring data includes statistics on the migrant population, source analysis, customer group insights, instantaneous inflow and outflow, etc., to meet the needs of real-time viewing of the aggregation and distribution of different customer group combinations and GIS heat map distribution. 6. Human-computer interaction method of graphical user interface: The main view is the main interface of the graphical user interface; hovering the mouse over the floating population trend bar chart on the left side of the main view enters interface change state diagram 1; clicking the "Outside the Province" function module on the right side of interface change state diagram 1 enters interface change state diagram 2; clicking any municipal administrative region in the middle of interface change state diagram 2 enters interface change state diagram 3; clicking the "Permanent Resident Population" function module at the top of interface change state diagram 3 enters interface change state diagram 4; moving the mouse to the "Permanent Resident Population Ranking" area on the left side of interface change state diagram 4 and scrolling the mouse wheel enters interface change state diagram 5; moving the mouse to the "Analysis of Source of Inflow Population" or "Analysis of Destination of Outflow Population" area on the right side of interface change state diagram 5 and scrolling the mouse wheel enters interface change state diagram 6; clicking the "Outside the Province" function module on the right side of interface change state diagram 6 enters interface change state diagram 7; clicking the "Inner Mongolia Autonomous Region" function module in the upper right corner of interface change state diagram 7 enters interface change state diagram 8.

The application provides a kind of urban building group three-dimensional function zoning and floor population dynamic distribution method and device, it is related to urban space information processing technical field.The method comprises: based on BERT model and domain-specific vocabulary constructs the semantic feature vector generation fusion data of multi-source POI data;According to three-layer progressive inference structure and inference technology constructs floor position probability distribution model;According to the function coupling strength and the improved spectral clustering algorithm carries out three-dimensional function zoning;Generation building level population statistics data, constructs different attraction model;According to the improved Haaf model, the floor population distribution constraint optimization model is solved to obtain the population dynamic distribution of each floor.The application breaks through the granularity limit of traditional function zoning, realizes the fine three-dimensional function zoning and population dynamic distribution prediction of floor level, provides important decision support for the application such as business site selection, emergency evacuation path planning, public service facility configuration optimization and the like in smart city construction.