CN112118548A - Method and storage device for identifying regular population and floating population by big data - Google Patents
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Abstract
The invention relates to the field of data processing, in particular to a method and storage equipment for identifying a regular population and a floating population by big data. The big data identification method for the standing population and the floating population comprises the following steps: acquiring data to be analyzed, wherein the data to be analyzed comprises one or more of the following: government demographic database data, operator signaling data, and third party internet data, the third party internet comprising one or more of: the system comprises a travel ticket selling platform, a communication base station and a GPS; and analyzing the data to be analyzed by adopting a preset algorithm to obtain a constant population and a floating population. The whole process does not need to be manually registered by each user, the data to be analyzed can be automatically acquired from different specific platforms, the population flow condition can be known by analyzing the data to be analyzed, the population analysis can be carried out in real time or at regular time, and the method is simple, convenient and easy to operate.
Description
Technical Field
The invention relates to the field of data processing, in particular to a method and storage equipment for identifying a regular population and a floating population by big data.
Background
With the development of the country and the society, the population mobility is more and more, and in the management of the city and the social event, the people mobility and the constant population situation are required to be known, such as: in the face of epidemic outbreaks in 2020, in order to effectively control the epidemic situation, the flow situation and the permanent population situation of people need to be known; such as: in the process of configuring the urban development resources, the flowing situation of people and the situation of the permanent population need to be known. The currently commonly adopted mode is as follows: the manual registration management of the floating population and the floating population is carried out according to a city-district-community/street mode, the registration mode is time-consuming and labor-consuming, and in addition, data loss is caused when someone intentionally misses registration in the registration process or someone is not at home in the visiting process, so that the registration result cannot effectively reflect the change situations of the real floating population and the floating population.
Disclosure of Invention
Therefore, a method for identifying the permanent population and the floating population by big data is needed to be provided, so as to solve the problems of missing registration, data loss, time and labor waste and the like caused by manual registration of the permanent population and the floating population. The specific technical scheme is as follows:
a method for identifying a standing population and a floating population by big data comprises the following steps: acquiring data to be analyzed, wherein the data to be analyzed comprises one or more of the following: government demographic database data, operator signaling data, and third party internet data, the third party internet comprising one or more of: the system comprises a travel ticket selling platform, a communication base station and a GPS;
and analyzing the data to be analyzed by adopting a preset algorithm to obtain a constant population and a floating population.
Further, the analyzing the data to be analyzed by adopting a preset algorithm to obtain a permanent population and a floating population further comprises the following steps:
analyzing the operator signaling data by adopting a preset algorithm to obtain a constant population and a floating population corresponding to the operator signaling data;
analyzing third-party internet data by adopting a preset algorithm to obtain a standing population and a floating population corresponding to the third-party internet signaling data;
and comprehensively analyzing the permanent population and the floating population corresponding to the government population database data, the permanent population and the floating population corresponding to the operator signaling data and the permanent population and the floating population corresponding to the third-party internet signaling data, obtaining the final permanent population and the floating population, and taking the final data as the latest data of the government population database.
Further, the analyzing the data to be analyzed by adopting a preset algorithm to obtain a permanent population and a floating population further comprises the following steps:
calculating daily population inflow data of a specific area according to the data to be analyzed, acquiring the stay time of the inflow population in the specific area within a preset time period, if the stay time exceeds the preset time period, judging that the inflow population is a newly-added regular population, and if the stay time does not exceed the preset time period, judging that the inflow population is a floating population.
Further, the method also comprises the following steps: classifying the standing population according to a first preset rule and marking corresponding labels; and classifying the floating population according to a second preset rule and marking a corresponding label.
Further, the method also comprises the following steps: and comprehensively analyzing the classification of the standing population and the classification of the floating population to obtain a new classification result.
In order to solve the technical problem, the storage device is further provided, and the specific technical scheme is as follows:
a storage device having stored therein a set of instructions for performing:
acquiring data to be analyzed, wherein the data to be analyzed comprises one or more of the following: government demographic database data, operator signaling data, and third party internet data, the third party internet comprising one or more of: the system comprises a travel ticket selling platform, a communication base station and a GPS;
and analyzing the data to be analyzed by adopting a preset algorithm to obtain a constant population and a floating population.
Further, the analyzing the data to be analyzed by adopting a preset algorithm to obtain a permanent population and a floating population further comprises the following steps:
analyzing the operator signaling data by adopting a preset algorithm to obtain a constant population and a floating population corresponding to the operator signaling data;
analyzing third-party internet data by adopting a preset algorithm to obtain a standing population and a floating population corresponding to the third-party internet signaling data;
and comprehensively analyzing the permanent population and the floating population corresponding to the government population database data, the permanent population and the floating population corresponding to the operator signaling data and the permanent population and the floating population corresponding to the third-party internet signaling data, obtaining the final permanent population and the floating population, and taking the final data as the latest data of the government population database.
Further, the set of instructions is further for performing:
the method for analyzing the data to be analyzed by adopting a preset algorithm to obtain a constant population and a floating population further comprises the following steps of:
calculating daily population inflow data of a specific area according to the data to be analyzed, acquiring the stay time of the inflow population in the specific area within a preset time period, if the stay time exceeds the preset time period, judging that the inflow population is a newly-added regular population, and if the stay time does not exceed the preset time period, judging that the inflow population is a floating population.
Further, the set of instructions is further for performing: classifying the standing population according to a first preset rule and marking corresponding labels; and classifying the floating population according to a second preset rule and marking a corresponding label.
Further, the set of instructions is further for performing: and comprehensively analyzing the classification of the standing population and the classification of the floating population to obtain a new classification result.
The invention has the beneficial effects that: by obtaining data to be analyzed, the data to be analyzed includes one or more of: government demographic database data, operator signaling data, and third party internet data, the third party internet comprising one or more of: the system comprises a travel ticket selling platform, a communication base station and a GPS; and analyzing the data to be analyzed by adopting a preset algorithm to obtain a constant population and a floating population. The whole process does not need to be manually registered by each user, the data to be analyzed can be automatically acquired from different specific platforms, the population flow condition can be known by analyzing the data to be analyzed, the population analysis can be carried out in real time or at regular time, and the method is simple, convenient and easy to operate.
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FIG. 1 is a flow chart of a method for big data identification of a regular population and a floating population according to an embodiment;
fig. 2 is a schematic block diagram of a storage device according to an embodiment.
Description of reference numerals:
200. a storage device.
Detailed Description
To explain technical contents, structural features, and objects and effects of the technical solutions in detail, the following detailed description is given with reference to the accompanying drawings in conjunction with the embodiments.
The core technical idea of the application is as follows: with the development of the existing mobile terminals and communication, more and more people can be traced by acquiring operator signaling data and third-party internet data, and the situation of people flowing into a certain area on a certain day can be locked by analyzing the data, such as: and if the stay time of the person B in the area A exceeds the preset time, judging that the person B is the permanent population of the area A. In the present embodiment, the time period is set to half a year, and if the number of days of stay exceeds 180 × 0.8 to 144 days, the person is determined to be a standing person, and otherwise, the person is a floating person. By the method, the frequent population and the floating population do not need to be manually registered next to each other, so that time and labor are saved, and the efficiency is high.
The following explanation will be made first of all on terms that will be referred to in this embodiment:
government population base data: data from a demographic database of a government department.
Operator signaling data: mainly contains signaling data of three operators of Unicom, Telecommunications and Mobile.
Third party internet: including one or more of the following: platform, communication base station, GPS are sold to the trip ticket. In particular to any travel ticket purchasing platform capable of acquiring the travel tickets related to the personnel or any base station platform capable of acquiring the travel of the personnel and the like.
Referring to fig. 1, in the present embodiment, a method for identifying a regular population and a floating population by big data is as follows:
step S101: acquiring data to be analyzed, wherein the data to be analyzed comprises one or more of the following: government demographic database data, operator signaling data, and third party internet data, the third party internet comprising one or more of: platform, communication base station, GPS are sold to the trip ticket. It should be noted that, in the following description,
step S102: and analyzing the data to be analyzed by adopting a preset algorithm to obtain a constant population and a floating population.
By obtaining data to be analyzed, the data to be analyzed includes one or more of: government demographic database data, operator signaling data, and third party internet data, the third party internet comprising one or more of: the system comprises a travel ticket selling platform, a communication base station and a GPS; and analyzing the data to be analyzed by adopting a preset algorithm to obtain a constant population and a floating population. The whole process does not need to be manually registered by each user, the data to be analyzed can be automatically acquired from different specific platforms, the population flow condition can be known by analyzing the data to be analyzed, the population analysis can be carried out in real time or at regular time, and the method is simple, convenient and easy to operate.
The data to be analyzed corresponding to each platform are different, and the data to be analyzed corresponding to the government affair population database comprises: regular living population and floating population.
The operator signaling data includes: historical data and/or real-time data. The description will be developed below.
The third party internet data includes one or more of: travel data of various transport means and sensor data; the various vehicle travel data includes one or more of: aviation trip data, railway trip data and ship trip data; the sensor data includes one or more of: communication base station data and GPS positioning data. Wherein the aviation trip data, the railway trip data and the ship trip data can comprise: the information of the ticket buyer, the departure point and the destination of the ticket buyer, the time and the place of the ticket, and the like, in short, the personal information of the relevant personnel and the travel track thereof can be obtained through the data.
The data to be analyzed for the government affairs population base can be obtained as follows: and acquiring the permanent population and the floating population in the defined area from population management centers of all levels of government departments, such as the public security department.
The operator signaling data includes: historical data and/or real-time data, the content of the historical data including one or more of: the system comprises a collection number, a collection time and a collection place, wherein the content of the real-time data comprises one or more of the following: collecting number, collecting time and collecting place. Such as: the collection time is limited, and the collection number and the collection place in the limited collection time are obtained, so that the mobile phone number is in a real name system at present, specific personnel can be locked, and the flow track of the personnel can be obtained through the collection place. Or limiting the acquisition place and acquiring the acquisition number in the limited acquisition place. Or simultaneously limiting the acquisition place and the acquisition time and acquiring the acquisition number in the limited acquisition place and the limited acquisition time.
After the data to be analyzed are obtained through the operator platform, the method for analyzing the data to be analyzed by adopting a preset algorithm to obtain a permanent population and a floating population further comprises the following steps: and analyzing the operator signaling data by adopting a preset algorithm to obtain a constant population and a floating population corresponding to the operator signaling data. The method specifically comprises the following steps: calculating daily population inflow data of a specific area according to the data to be analyzed, acquiring the stay time of the inflow population in the specific area within a preset time period, if the stay time exceeds the preset time period, judging that the inflow population is a newly-added regular population, and if the stay time does not exceed the preset time period, judging that the inflow population is a floating population.
If the new inflow population of the a area is a1, a2 and a3, obtained at 2020.2.1, the number of stay days of the a area in the half year in the future of a1, a2 and a3 is monitored, if the number of stay days of a1 exceeds 180 x 0.8 to 144 days, the a1 is determined as the newly added regular-living population, if the number of stay days of a2 is 3 days, the a2 is determined as the floating population, and if the number of stay days of a3 is 160 days, the a3 is determined as the newly added regular-living population. The specific stay time can be adjusted according to the actual situation.
The data to be analyzed corresponding to the third-party internet platform can be obtained as follows: obtaining internet data relating to the flow of people from a third party internet platform, the third party internet platform including one or more of: the system comprises a travel ticket selling platform, a communication base station and a GPS; the method specifically comprises the following steps: the system comprises aviation trip data, railway trip data and the like, sensor data (communication base station data, GPS positioning data and the like), such as the passenger flow rate of a train arriving, the passenger flow rate of a car entering a city, the residence time of a population, the flow trajectory data of the population, the passenger flow rate, the residence time of the population and the flow trajectory data of the population, which are obtained through a GPS/base station and the like.
Similarly, if the new inflow population obtained from the third-party internet data to the area a is b1, b2 and b3, the number of stay days of the b1, b2 and b3 in the area a in the next half year is monitored, if the number of stay days of the b1 exceeds 180 × 0.8 to 144 days, the b1 is determined as the newly added regular living population, if the number of stay days of the b2 is 3 days, the b2 is determined as the floating population, and if the number of stay days of the b3 is 160 days, the b3 is determined as the newly added regular living population. The specific stay time can be adjusted according to the actual situation.
After the standing population and the floating population corresponding to the operator signaling data and the standing population and the floating population corresponding to the third-party internet signaling data are analyzed, the standing population and the floating population corresponding to the government population database data, the standing population and the floating population corresponding to the operator signaling data and the standing population and the floating population corresponding to the third-party internet signaling data can be comprehensively analyzed to obtain the final standing population and the floating population, and the final data is used as the latest data of the government population database.
For example, the standing population corresponding to the operator signaling data is: a1, the third party internet signaling data corresponds to a standing population: b1, the permanent population corresponding to the government population database data is: c1, c2, c 3. Then taking the union of the permanent population corresponding to the three data to be analyzed as the permanent population of the latest government population database data, namely: [ a1, b1, c1, c2, c3 ]. Similarly, the union of the floating population corresponding to the three data to be analyzed is taken as the floating population of the latest government population database data.
In this embodiment, in order to make the management method more versatile, the method further includes the steps of: classifying the standing population according to a first preset rule and marking corresponding labels; and classifying the floating population according to a second preset rule and marking a corresponding label. The method specifically comprises the following steps: the population of the standing population is divided into five categories: people who live in the streets of the villages and towns and have their mouths in the streets of the villages and towns; people who live in the streets of the villages and towns and have a pending entrance; people who live in the town street and leave the house entrance to register the place where the town street is located for more than half a year; people who are in the town street of the home country and are less than half a year away from the town street of the home country; the family is a person who is in the street of the town of the home country and works or learns abroad. And corresponding labels are marked on the five types of people. Such as: people who live in the town street, and the house is in the town street of this country can be marked with the label: a, what label is to be marked can be adjusted at will as long as the distinguishing function between classes can be achieved.
Floating populations can be divided into three categories: inter-provincial, inter-county floating population; urban and rural floating population; regular and irregular floating population, which may be divided into daily floating, seasonal floating and periodic floating population sub-categories. Likewise, these classification results are labeled with corresponding labels.
Further, the method also comprises the following steps: and comprehensively analyzing the classification of the standing population and the classification of the floating population to obtain a new classification result. Such as: the statistics of 5 classes of regular population and 3 classes of floating population are classified respectively, and the 8 classes of population can be cross-analyzed, for example, a person who is in the street of the town of the country and who works or learns abroad can flow back to the street of the country periodically in the holidays of chills and hots every year, and can be defined as a new classification.
After the population mobility situation is obtained, various kinds of processing can be further carried out on the data, such as: urban population scale evolution analysis and population mobility range evolution analysis. Wherein the city population size evolution analysis comprises one or more of: population total evolution analysis, population density evolution analysis, employment residence deviation analysis and evolution analysis. The population flow range evolution analysis includes one or more of the following: population cross-domain migration evolution, population floating flow evolution and population floating trip evolution.
The above various analyses are explained in detail:
population total evolution analysis: the population total evolution analysis means that the total population of the living beings in a certain time point and a certain area range is analyzed. Population scale total evolution analysis can be carried out according to the boundaries of the district, the town, the key monitoring area and the key village area.
Population density evolution analysis: population density is the ratio of the number of people in a certain area at a certain time to the number of areas in that area, i.e., the number of people per unit area at a certain time, and is usually expressed in terms of the number of residents per square kilometer.
Employment residence deviation analysis and evolution analysis: the employment residential deviation analysis and evolution analysis are the spatial layout for depicting the population inside the city, and the street and the village and town unit are used as the analysis scale. And displaying the work of the selected or whole map in the map and the occupation ratio of the resident population, and judging whether the employment and the resident functions of different areas are matched and what functions are dominant.
Population cross-domain migration evolution: the cross-domain migration shows population migration and migration evolution analysis in digital twin city population management by working days and rest days, and the evolution conditions of the number of people flowing into the urban area from other areas and the number of people flowing into other areas from the urban area can be seen.
Population flow rate evolution: and analyzing the pedestrian volume of the designated area of the urban area, analyzing the number of people in the area and the population thermodynamic diagram, and predicting the population number after a certain time period according to the historical data of a certain area.
Population mobility travel evolution: the urban area is used as the center, and people from other areas to the core area are distributed at different distribution characteristics such as travel distance and the time of going to and going from work to perform travel evolution analysis. In addition, the average travel time, travel times, travel destinations and other characteristics of urban population (which can be divided into different sexes, different ages and different professions through population images) can be calculated.
And in the population floating trip evolution, the perfection degree, the bearing capacity and the population floating trip characteristic analysis of the urban traffic system are analyzed from the results of the evolution of the urban population trip conditions.
Referring to fig. 2, a memory device 200 according to the present embodiment is implemented as follows: the storage device 200 includes, but is not limited to: personal computers, servers, general purpose computers, special purpose computers, network devices, embedded devices, programmable devices, intelligent mobile terminals, etc. The concrete implementation is as follows:
a storage device 200 having stored therein a set of instructions for performing:
acquiring data to be analyzed, wherein the data to be analyzed comprises one or more of the following: government demographic database data, operator signaling data, and third party internet data, the third party internet comprising one or more of: the system comprises a travel ticket selling platform, a communication base station and a GPS;
and analyzing the data to be analyzed by adopting a preset algorithm to obtain a constant population and a floating population.
By obtaining data to be analyzed, the data to be analyzed includes one or more of: government demographic database data, operator signaling data, and third party internet data, the third party internet comprising one or more of: the system comprises a travel ticket selling platform, a communication base station and a GPS; and analyzing the data to be analyzed by adopting a preset algorithm to obtain a constant population and a floating population. The whole process does not need to be manually registered by each user, the data to be analyzed can be automatically acquired from different specific platforms, the population flow condition can be known by analyzing the data to be analyzed, the population analysis can be carried out in real time or at regular time, and the method is simple, convenient and easy to operate.
The data to be analyzed corresponding to each platform are different, and the data to be analyzed corresponding to the government affair population database comprises: regular living population and floating population.
The operator signaling data includes: historical data and/or real-time data. The description will be developed below.
The third party internet data includes one or more of: travel data of various transport means and sensor data; the various vehicle travel data includes one or more of: aviation trip data, railway trip data and ship trip data; the sensor data includes one or more of: communication base station data and GPS positioning data. Wherein the aviation trip data, the railway trip data and the ship trip data can comprise: the information of the ticket buyer, the departure point and the destination of the ticket buyer, the time and the place of the ticket, and the like, in short, the personal information of the relevant personnel and the travel track thereof can be obtained through the data.
The data to be analyzed for the government affairs population base can be obtained as follows: and acquiring the permanent population and the floating population in the defined area from population management centers of all levels of government departments, such as the public security department.
The operator signaling data includes: historical data and/or real-time data, the content of the historical data including one or more of: the system comprises a collection number, a collection time and a collection place, wherein the content of the real-time data comprises one or more of the following: collecting number, collecting time and collecting place. Such as: the collection time is limited, and the collection number and the collection place in the limited collection time are obtained, so that the mobile phone number is in a real name system at present, specific personnel can be locked, and the flow track of the personnel can be obtained through the collection place. Or limiting the acquisition place and acquiring the acquisition number in the limited acquisition place. Or simultaneously limiting the acquisition place and the acquisition time and acquiring the acquisition number in the limited acquisition place and the limited acquisition time.
After the data to be analyzed are acquired through the operator platform, the instruction set is further used for executing: the method for analyzing the data to be analyzed by adopting a preset algorithm to obtain a constant population and a floating population further comprises the following steps of: and analyzing the operator signaling data by adopting a preset algorithm to obtain a constant population and a floating population corresponding to the operator signaling data. The method specifically comprises the following steps: calculating daily population inflow data of a specific area according to the data to be analyzed, acquiring the stay time of the inflow population in the specific area within a preset time period, if the stay time exceeds the preset time period, judging that the inflow population is a newly-added regular population, and if the stay time does not exceed the preset time period, judging that the inflow population is a floating population.
If the new inflow population of the a area is a1, a2 and a3, obtained at 2020.2.1, the number of stay days of the a area in the half year in the future of a1, a2 and a3 is monitored, if the number of stay days of a1 exceeds 180 x 0.8 to 144 days, the a1 is determined as the newly added regular-living population, if the number of stay days of a2 is 3 days, the a2 is determined as the floating population, and if the number of stay days of a3 is 160 days, the a3 is determined as the newly added regular-living population. The specific stay time can be adjusted according to the actual situation.
The data to be analyzed corresponding to the third-party internet platform can be obtained as follows: obtaining internet data relating to the flow of people from a third party internet platform, the third party internet platform including one or more of: the system comprises a travel ticket selling platform, a communication base station and a GPS; the method specifically comprises the following steps: the system comprises aviation trip data, railway trip data and the like, sensor data (communication base station data, GPS positioning data and the like), such as the passenger flow rate of a train arriving, the passenger flow rate of a car entering a city, the residence time of a population, the flow trajectory data of the population, the passenger flow rate, the residence time of the population and the flow trajectory data of the population, which are obtained through a GPS/base station and the like.
Similarly, if the new inflow population obtained from the third-party internet data to the area a is b1, b2 and b3, the number of stay days of the b1, b2 and b3 in the area a in the next half year is monitored, if the number of stay days of the b1 exceeds 180 × 0.8 to 144 days, the b1 is determined as the newly added regular living population, if the number of stay days of the b2 is 3 days, the b2 is determined as the floating population, and if the number of stay days of the b3 is 160 days, the b3 is determined as the newly added regular living population. The specific stay time can be adjusted according to the actual situation.
After analyzing the regular population and the floating population corresponding to the operator signaling data and the regular population and the floating population corresponding to the third-party internet signaling data, the instruction set is further used for executing: the standing population and the floating population corresponding to the government population database data, the standing population and the floating population corresponding to the operator signaling data and the standing population and the floating population corresponding to the third-party internet signaling data can be comprehensively analyzed, the last standing population and the last floating population are obtained, and the last data is used as the latest data of the government population database.
For example, the standing population corresponding to the operator signaling data is: a1, the third party internet signaling data corresponds to a standing population: b1, the permanent population corresponding to the government population database data is: c1, c2, c 3. Then taking the union of the permanent population corresponding to the three data to be analyzed as the permanent population of the latest government population database data, namely: [ a1, b1, c1, c2, c3 ]. Similarly, the union of the floating population corresponding to the three data to be analyzed is taken as the floating population of the latest government population database data.
In this embodiment, in order to make the management manner more diversified, the instruction set is further configured to perform: classifying the standing population according to a first preset rule and marking corresponding labels; and classifying the floating population according to a second preset rule and marking a corresponding label. The method specifically comprises the following steps: the population of the standing population is divided into five categories: people who live in the streets of the villages and towns and have their mouths in the streets of the villages and towns; people who live in the streets of the villages and towns and have a pending entrance; people who live in the town street and leave the house entrance to register the place where the town street is located for more than half a year; people who are in the town street of the home country and are less than half a year away from the town street of the home country; the family is a person who is in the street of the town of the home country and works or learns abroad. And corresponding labels are marked on the five types of people. Such as: people who live in the town street, and the house is in the town street of this country can be marked with the label: a, what label is to be marked can be adjusted at will as long as the distinguishing function between classes can be achieved.
Floating populations can be divided into three categories: inter-provincial, inter-county floating population; urban and rural floating population; regular and irregular floating population, which may be divided into daily floating, seasonal floating and periodic floating population sub-categories. Likewise, these classification results are labeled with corresponding labels.
Further, the set of instructions is further for performing: and comprehensively analyzing the classification of the standing population and the classification of the floating population to obtain a new classification result. Such as: the statistics of 5 classes of regular population and 3 classes of floating population are classified respectively, and the 8 classes of population can be cross-analyzed, for example, a person who is in the street of the town of the country and who works or learns abroad can flow back to the street of the country periodically in the holidays of chills and hots every year, and can be defined as a new classification.
After the population mobility situation is obtained, various kinds of processing can be further carried out on the data, such as: urban population scale evolution analysis and population mobility range evolution analysis. Wherein the city population size evolution analysis comprises one or more of: population total evolution analysis, population density evolution analysis, employment residence deviation analysis and evolution analysis. The population flow range evolution analysis includes one or more of the following: population cross-domain migration evolution, population floating flow evolution and population floating trip evolution.
The above various analyses are explained in detail:
population total evolution analysis: the population total evolution analysis means that the total population of the living beings in a certain time point and a certain area range is analyzed. Population scale total evolution analysis can be carried out according to the boundaries of the district, the town, the key monitoring area and the key village area.
Population density evolution analysis: population density is the ratio of the number of people in a certain area at a certain time to the number of areas in that area, i.e., the number of people per unit area at a certain time, and is usually expressed in terms of the number of residents per square kilometer.
Employment residence deviation analysis and evolution analysis: the employment residential deviation analysis and evolution analysis are the spatial layout for depicting the population inside the city, and the street and the village and town unit are used as the analysis scale. And displaying the work of the selected or whole map in the map and the occupation ratio of the resident population, and judging whether the employment and the resident functions of different areas are matched and what functions are dominant.
Population cross-domain migration evolution: the cross-domain migration shows population migration and migration evolution analysis in digital twin city population management by working days and rest days, and the evolution conditions of the number of people flowing into the urban area from other areas and the number of people flowing into other areas from the urban area can be seen.
Population flow rate evolution: and analyzing the pedestrian volume of the designated area of the urban area, analyzing the number of people in the area and the population thermodynamic diagram, and predicting the population number after a certain time period according to the historical data of a certain area.
Population mobility travel evolution: the urban area is used as the center, and people from other areas to the core area are distributed at different distribution characteristics such as travel distance and the time of going to and going from work to perform travel evolution analysis. In addition, the average travel time, travel times, travel destinations and other characteristics of urban population (which can be divided into different sexes, different ages and different professions through population images) can be calculated.
And in the population floating trip evolution, the perfection degree, the bearing capacity and the population floating trip characteristic analysis of the urban traffic system are analyzed from the results of the evolution of the urban population trip conditions.
It should be noted that, although the above embodiments have been described herein, the invention is not limited thereto. Therefore, based on the innovative concepts of the present invention, the technical solutions of the present invention can be directly or indirectly applied to other related technical fields by making changes and modifications to the embodiments described herein, or by using equivalent structures or equivalent processes performed in the content of the present specification and the attached drawings, which are included in the scope of the present invention.
Claims (10)
1. A method for identifying a standing population and a floating population by big data is characterized by comprising the following steps: acquiring data to be analyzed, wherein the data to be analyzed comprises one or more of the following: government demographic database data, operator signaling data, and third party internet data, the third party internet comprising one or more of: the system comprises a travel ticket selling platform, a communication base station and a GPS;
and analyzing the data to be analyzed by adopting a preset algorithm to obtain a constant population and a floating population.
2. The method for identifying the constant-living population and the floating population according to the big data, as claimed in claim 1, wherein the step of analyzing the data to be analyzed by using a preset algorithm to obtain the constant-living population and the floating population further comprises the steps of:
analyzing the operator signaling data by adopting a preset algorithm to obtain a constant population and a floating population corresponding to the operator signaling data;
analyzing third-party internet data by adopting a preset algorithm to obtain a standing population and a floating population corresponding to the third-party internet signaling data;
and comprehensively analyzing the permanent population and the floating population corresponding to the government population database data, the permanent population and the floating population corresponding to the operator signaling data and the permanent population and the floating population corresponding to the third-party internet signaling data, obtaining the final permanent population and the floating population, and taking the final data as the latest data of the government population database.
3. The method for identifying the constant-living population and the floating population according to the big data of claim 1 or 2, wherein the step of analyzing the data to be analyzed by using a preset algorithm to obtain the constant-living population and the floating population further comprises the steps of:
calculating daily population inflow data of a specific area according to the data to be analyzed, acquiring the stay time of the inflow population in the specific area within a preset time period, if the stay time exceeds the preset time period, judging that the inflow population is a newly-added regular population, and if the stay time does not exceed the preset time period, judging that the inflow population is a floating population.
4. The method for identifying the permanent population and the floating population by the big data according to any one of claims 1 to 3, further comprising the steps of: classifying the standing population according to a first preset rule and marking corresponding labels;
and classifying the floating population according to a second preset rule and marking a corresponding label.
5. The method for identifying the permanent population and the floating population by the big data according to claim 4, further comprising the steps of: and comprehensively analyzing the classification of the standing population and the classification of the floating population to obtain a new classification result.
6. A storage device having a set of instructions stored therein, the set of instructions being operable to perform:
acquiring data to be analyzed, wherein the data to be analyzed comprises one or more of the following: government demographic database data, operator signaling data, and third party internet data, the third party internet comprising one or more of: the system comprises a travel ticket selling platform, a communication base station and a GPS;
and analyzing the data to be analyzed by adopting a preset algorithm to obtain a constant population and a floating population.
7. The storage device of claim 6, wherein the set of instructions is further configured to perform: the method for analyzing the data to be analyzed by adopting a preset algorithm to obtain a constant population and a floating population further comprises the following steps of:
analyzing the operator signaling data by adopting a preset algorithm to obtain a constant population and a floating population corresponding to the operator signaling data;
analyzing third-party internet data by adopting a preset algorithm to obtain a standing population and a floating population corresponding to the third-party internet signaling data;
and comprehensively analyzing the permanent population and the floating population corresponding to the government population database data, the permanent population and the floating population corresponding to the operator signaling data and the permanent population and the floating population corresponding to the third-party internet signaling data, obtaining the final permanent population and the floating population, and taking the final data as the latest data of the government population database.
8. A storage device according to claim 5 or 6, wherein the set of instructions is further adapted to perform:
the method for analyzing the data to be analyzed by adopting a preset algorithm to obtain a constant population and a floating population further comprises the following steps of:
calculating daily population inflow data of a specific area according to the data to be analyzed, acquiring the stay time of the inflow population in the specific area within a preset time period, if the stay time exceeds the preset time period, judging that the inflow population is a newly-added regular population, and if the stay time does not exceed the preset time period, judging that the inflow population is a floating population.
9. A storage device according to any one of claims 5 to 8, wherein the set of instructions is further operable to perform: classifying the standing population according to a first preset rule and marking corresponding labels;
and classifying the floating population according to a second preset rule and marking a corresponding label.
10. The storage device of claim 9, wherein the set of instructions is further configured to perform: and comprehensively analyzing the classification of the standing population and the classification of the floating population to obtain a new classification result.
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