9 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.

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 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 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 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 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.