15 results about "Floating population" patented technology

The invention discloses a floating population dynamic collaborative governance method based on five-member role conversion, and belongs to the technical field of community governance, and the method specifically comprises the steps: collecting floating population event information and space coordinates and function attributes of a governance subject, activating corresponding role attributes according to the matching relation between event types and the space coordinates, and carrying out the dynamic collaborative governance of the floating population; constructing a space-time deduction sand table based on historical data, injecting role behavior characteristic parameters, simulating a cooperation path by adopting a Monte Carlo algorithm, and outputting a cooperation chain containing an execution sequence and a priority weight; generating a role exclusive instruction set according to the cooperation chain, and distributing an adaptive task to each role; comparing the instruction logic relationship in real time, freezing an execution stream when a conflict is detected, and starting a staged arbitration process; recording a role operation track to generate a behavior deviation rate matrix, and updating sand table parameters and role binding conditions through a dynamic learning algorithm; according to the method, through dynamic role conversion and intelligent collaborative deduction, precise collaboration and continuous optimization of floating population management are realized.

Embodiments relate to a method of managing a cigarette butt collection device with IoT using artificial intelligence (AI), performed by a service platform server. The method includes obtaining collection amount information, weather information, and floating population data related to one or more cigarette butt collection devices, deriving a collection amount variation pattern of each cigarette butt collection device by applying the obtained collection amount information, weather information, and floating population data to a learning model, and calculating a predicted collection time at which each cigarette butt collection device has a certain filling degree based on the derived collection amount variation pattern.

The invention relates to the technical field of population prediction, and discloses a population prediction method and device based on combination of an ARIMA model and a queue element method. The method comprises the steps of obtaining historical migration population data of a to-be-predicted region, determining a difference order through ADF test, preliminarily determining the range of an autoregression order and a moving average order by using an autocorrelation function and a partial autocorrelation function, and constructing an ARIMA model; the optimized ARIMA model is adopted to fit historical migration population data, a migration population prediction result is obtained, and migration population data of each age group in the target prediction time period is output in combination with age structure data of floating population of the reference year; taking the migration population data of each age group as input parameters of migration population in a queue element method; according to a preset sum growth rate, selecting a western mode of a numeral-demann region model life table as a death model; and setting the average life expectancy according to a preset birth ratio, and realizing permanent resident population prediction of the to-be-predicted region.

The present invention discloses a method and device for identifying the population in a jurisdiction based on spatio-temporal big data, belonging to the field of information technology, and is used to solve the technical problems of poor authenticity of data collection, low efficiency and timeliness in the method for controlling the floating population in cities. The method includes: collecting various types of resident information data of a preset area; wherein, the various types of resident information data at least include: base station data and resident interaction information; the preset area belongs to a preset jurisdiction; determining a household set in the preset area according to the various types of resident information data; identifying the household types in the household set according to the various types of resident information data; associating housing information with each household in the household set to realize data collection. Through technical collection means and data governance means, the household situation in the jurisdiction is automatically identified, the burden of door-to-door collection work is reduced, and the problem of insufficient grass-roots community grid members and police force is solved.

The application relates to the technical field of community security management, and discloses a floating population intelligent monitoring method, system and equipment. The method comprises the following steps: determining floating population data flow according to behavior event information in monitoring image data of a preset monitoring area collected; obtaining personal trajectory data of the floating population data flow by dynamically tracking the floating population data flow based on a preset trajectory algorithm; analyzing the personal trajectory data by a preset outlier detection abnormal behavior algorithm to obtain abnormal behavior data of the floating population data flow; and pushing early warning information when the abnormal behavior data meets an abnormal behavior early warning threshold. In the application, the monitoring video of the area where the floating population is located can be analyzed, the activity trajectory of the floating population can be recorded, the dynamic trajectory can be described, the personal trajectory data can be analyzed and counted for abnormal behavior by the preset outlier detection abnormal behavior algorithm, and early warning can be performed when the early warning threshold is exceeded, so that early warning can be timely and accurately sent out.

The invention provides an information processing system. The information processing system comprises a device used for collecting communication environment data and floating population data before an earthquake occurs; a device for predicting the number of refugees in each refuge by using an artificial intelligence model based on the collected data; the device is used for calculating the number of materials needing support according to the prediction result and indicating preparation and distribution of the materials; means for collecting on-site conditions, updating data and recalculating the quantity of materials required, and instructing additional provisioning after communication resumes.

Provide a system. 【Solution means】 Means for collecting demographic data, Means for collecting location information of competing facilities, Means for collecting floating population data, Means for analyzing the collected demographic data, the location information of competing facilities, and the floating population data, Means for identifying an appropriate site based on the analysis result, Means for calculating rent and operating costs based on the selected site, Means for proposing an optimal operation model, A system including the above.

The invention belongs to the technical field of area classification, and particularly relates to an area classification method based on floating population and environmental exposure change, and the method comprises the following steps: S1, data collection: collecting three types of data: the first type is floating population individual data; the second type is pollution concentration annual average data, the pollution concentration annual average data is lattice point data, and the spatial resolution is 1 kilometer * 1 kilometer; the third type is population number grid point data, the spatial resolution is 1 kilometer * 1 kilometer, and the time resolution is year by year; s2, data preprocessing: according to administrative boundaries of each district and county in China, pollution concentration annual average data and population number grid point data are cut, and then a population weighted average pollution concentration value of each district and county is calculated; s3, calculating an average pollution exposure change under a given migration path; and S4, dividing provinces according to the migration path population proportion and pollution exposure change.

The present application relates to the technical field of environmental health assessment, and particularly relates to a method for evaluating the contribution of floating population to atmospheric environmental health assessment. The method comprises: S1, quantifying the contribution of floating population to pollution exposure concentration; S2, quantifying the contribution of floating population to pollution exposure concentration change in different years. For a given city, the contribution of floating population to pollution exposure concentration can be quantified after calculating the pollution exposure concentration in a given year by using the data of permanent population and air pollution concentration. For a given city, the contribution of floating population to pollution exposure concentration change can be quantified after calculating the pollution exposure concentration change in different years.

The utility model provides a floating population dwelling management system, and belongs to the technical field of smart city management. The problem that existing floating population supervision is inconvenient is solved. The floating population dwelling management system comprises a server, a police officer mobile terminal, a landlord mobile terminal and a data acquisition unit, a house management module is used for recording rented house information and resident information in an area under administration, a landlord carries out editing and inputting through the landlord mobile terminal, and the data acquisition unit is used for carrying out face acquisition on tenants entering and exiting the rented house; and the data analysis module is used for comparing the face information acquired by the data acquisition module with the stored information in the data storage module, and sending an early warning task to the police officer mobile terminal through the early warning task sending module. According to the floating population living management system, each landlord autonomously inputs and updates resident information, so that the registration workload of government departments is reduced, timely updating of data can be ensured, and the accuracy of the data is ensured.

The invention provides a floating population intensive enterprise operation infringement prediction method based on a gradient boosting decision tree. The method comprises the following steps: collecting target data; preprocessing the target data; performing feature selection and construction based on a preprocessing result; on the basis of feature selection and construction results, taking a gradient boosting decision tree as a basic model, and training a floating population intensive enterprise operator infringement prediction model; optimizing the trained migrant population intensive enterprise operation infringement prediction model; and on the basis of the optimized migrant population intensive enterprise operator infringement prediction model, executing an operator infringement prediction task of the migrant population intensive enterprise. The method has important practical significance and technical value for preventing and intervening the problems.

A system is provided.SOLUTION: A system comprising: means for collecting communication environment data and floating population data immediately before a disaster; means for calculating the number of evacuees in each shelter using an artificial intelligence model based on the collected data; means for calculating the amount of necessary relief supplies based on the calculation result and instructing the preparation and delivery of supplies; and means for collecting the situation of the site after communication recovery, updating data, recalculating necessary supplies, and instructing additional supply.SELECTED DRAWING: Figure 1

The utility model relates to the technical field of gate channels, and discloses exit-entry floating population registration equipment which comprises a fixing assembly and a first detection assembly, the fixing assembly comprises a fixing shell, a first through groove is formed in the front end of the upper end of the fixing shell, and the first detection assembly is arranged in the fixing shell. The first detection assembly comprises a first fixing base fixedly installed at the front end in the fixing shell. According to the entry-exit floating population registration equipment, by installing the first detection assembly, a user can place an identity card at the upper end of the first protection plate, and then the identity card reader detects the identity card of the user, so that personnel can be rapidly registered, the operation is convenient, and the identification module is started; the recognition module detects the face and the retina of a user through a camera, and when the user is correct with an identity card, a control panel starts a motor to enable a person to pass through, so that the person can be registered and recognized quickly and conveniently.

The invention discloses a floating population identification method and system based on electric quantity fluctuation, and relates to the technical field of electric quantity fluctuation analysis, and the method comprises the steps: automatically obtaining the daily electric quantity time sequence data of all users in a target region through an RPA robot; determining daily reference electric quantity based on the daily electric quantity time sequence data; based on the daily electric quantity time sequence data and the daily reference electric quantity, the flow state of the user is judged through a triple dynamic judgment model; if the electric quantities of the users in M consecutive days all meet the condition that Q (n + i) is greater than or equal to KinQn, judging that the flow state of the users is population inflow; if the electric quantities of the users in the continuous M days all meet the condition that Q (n + i) is less than or equal to KoutQn, judging that the flow state of the users is population outflow; and if the electric quantities of the users in the continuous M days all meet the condition that Q (n + i) is greater than or equal to KlowQn and less than or equal to KhighQn, judging that the flow state of the users is stable, thereby improving the efficiency and accuracy of identifying the floating population.

The application discloses a method and system for monitoring and supervising the residence of floating population based on power consumption behavior analysis. The method comprises the following steps: obtaining and cleaning user power consumption data from an intelligent power meter system to obtain time series data; extracting statistical features and time series features from the time series data using a sliding window technique; judging the vacancy of a house, tenant changes, migratory tenants, short-term rental house features and group rental house conditions by monitoring the zero value and mutation of power consumption, analyzing periodic power consumption patterns, and detecting abnormal parallel loads according to the statistical features and the time series features to obtain multiple detection results; and fusing the multiple detection results and calculating a comprehensive abnormal score to determine abnormal conditions. The method of the application can realize a supervision model capable of multi-dimensional analysis of power consumption behavior, adaptive adjustment of judgment threshold, effective fusion of external data and continuous learning ability, thereby improving the accuracy and efficiency of the supervision of the residence of floating population.