CN106255069B - A method and device for simulating population spatial distribution - Google Patents

Abstract

The invention belongs to the technical field of geographic information systems, and provides a method and device for simulating the spatial distribution of population. The method includes: acquiring positioning data of a plurality of mobile terminals within a predetermined time, and the positioning data includes the The location of the base station where the terminal is located; mapping the multiple mobile terminals from the location of the base station to the building range within the coverage of the base station, so as to obtain the location of the multiple mobile terminals within the building range location distribution; according to the location distribution of the plurality of mobile terminals within the building range and the preset spatial resolution, count the number of mobile terminals within the building range; according to the counted number of mobile terminals, simulate the The spatial distribution of the population within the confines of the building in question. The invention can effectively improve the accuracy of simulating the spatial distribution of population within the building range.

Description

A method and device for simulating population spatial distribution

technical field

The invention belongs to the technical field of geographic information systems, and in particular relates to a method and device for simulating population spatial distribution.

Background technique

The spatial distribution characteristics of urban population and the difference between day and night are an important basis for the allocation of urban public infrastructure and public service facilities and the formulation of urban public safety emergency protection plans, and it is also one of the frontier directions in the field of urban geography research.

At present, there are three main methods for research on the spatial distribution of population: the first method uses demographic data to establish the relationship between population and natural and environmental factors, and performs spatial processing of statistical population data. statistical data, and the acquisition of census data requires a large amount of manpower and material resources, and the census requires a long cycle, which cannot reflect changes in the spatial distribution of population in a short period of time. In addition, because there is currently no distinction between Day and night demographic data, therefore, it is difficult to carry out relevant research on the spatial distribution of urban population during the day and night, and is extremely weak; the second method uses remote sensing images to extract information related to the spatial distribution of population, and establishes the relationship between information and population distribution to simulate population Compared with the first method, the method of the spatial distribution of the population has obvious advantages in cost, but it is limited to the spatial resolution and temporal resolution of the remote sensing image, and the accuracy of the spatial distribution of the population is also limited accordingly. Constraints; the third method is to study the spatial distribution of population based on big data such as mobile terminal positioning data, bus card swiping records, social networking site check-in data, taxi trajectory data, and bank card swiping record data. These mobile terminals with positioning function generate a large amount of big data with individual spatio-temporal marks, which provides the possibility to track the spatial movement of individuals for a long time, with high precision and high efficiency, and solves the problems in the first method and the second method. Existing problems. Since big data such as bus card swiping records, social networking site check-in data, taxi trajectory data, and bank card swiping record data are limited by user activity types, they cannot accurately reflect the distribution characteristics of population space under a large sample, while mobile terminal positioning data Since it is not limited by the type of user activity, it is widely used in the study of population spatial distribution. However, the accuracy of mobile terminal positioning data can only stay at the base station level, and it is impossible to determine the position of mobile terminals within the building range in real space, resulting in low accuracy in simulating the spatial distribution of population within the building range based on mobile terminal positioning data.

Therefore, it is necessary to propose a new technical solution to solve the above technical problems.

Contents of the invention

In view of this, embodiments of the present invention provide a method and device for simulating population spatial distribution, so as to improve the accuracy of simulating population spatial distribution within a building.

According to the first aspect of the embodiments of the present invention, a method for simulating the spatial distribution of population is provided, the method comprising:

Acquiring positioning data of multiple mobile terminals within a predetermined time, where the positioning data includes the positions of the base stations where the multiple mobile terminals are located;

Mapping the multiple mobile terminals from the location of the base station to the building range within the coverage of the base station, so as to obtain the location distribution of the multiple mobile terminals within the building range;

Counting the number of mobile terminals within the building according to the location distribution of the plurality of mobile terminals within the building and a preset spatial resolution;

According to the counted number of mobile terminals, the spatial distribution of population within the scope of the building is simulated.

The second aspect of the embodiments of the present invention provides a simulation device for population spatial distribution, the device comprising:

An acquisition module, configured to acquire positioning data of a plurality of mobile terminals within a predetermined time, the positioning data including the positions of the base stations where the plurality of mobile terminals are located;

A mapping module, configured to map the plurality of mobile terminals from the location of the base station to the building range within the coverage of the base station, so as to obtain the location distribution of the plurality of mobile terminals within the building range ;

A statistical module, configured to count the number of mobile terminals within the building range according to the location distribution of the plurality of mobile terminals within the building range and a preset spatial resolution;

The simulation module is used for simulating the population spatial distribution within the scope of the building according to the counted number of mobile terminals.

Compared with the prior art, the embodiments of the present invention have the following beneficial effects: the embodiments of the present invention obtain the positions of the base stations where multiple mobile terminals are located within a predetermined time, and map the positions to the building range within the coverage of the base stations Then obtain the position distribution of multiple mobile terminals within the building range, and count the number of mobile terminals within the building range according to the position distribution and the preset spatial resolution, and simulate the building according to the counted number of mobile terminals The spatial distribution of the population within the range. The embodiment of the present invention can simulate the population of different building types according to the number of mobile terminals in different types of buildings by mapping the position of the base station where the mobile terminal is located to different types of buildings within the coverage of the base station. Spatial Distribution, which improves the accuracy of simulating the spatial distribution of populations for different building types.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the accompanying drawings that need to be used in the descriptions of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only of the present invention. For some embodiments, those of ordinary skill in the art can also obtain other drawings based on these drawings without paying creative efforts.

Fig. 1 is the implementation flow chart of the simulation method of population spatial distribution provided by Embodiment 1 of the present invention;

Fig. 2 is the implementation flowchart of the simulation method of population spatial distribution provided by the second embodiment of the present invention;

Figure 3 is a map of the spatial distribution of residents' residences in a city based on mobile phone positioning data;

Figure 4 is a map of the spatial distribution of residents' workplaces in a city based on mobile phone location data;

FIG. 5 is a schematic diagram of the composition of a simulation device for population spatial distribution provided by Embodiment 3 of the present invention;

FIG. 6 is a schematic composition diagram of a simulation device for population spatial distribution provided by Embodiment 4 of the present invention.

Detailed ways

In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

Embodiment one:

Figure 1 shows the implementation process of the simulation method for the population spatial distribution provided by Embodiment 1 of the present invention, and the implementation process is described in detail as follows:

In step S101, the positioning data of multiple mobile terminals within a predetermined time is acquired, and the positioning data includes the positions of the base stations where the multiple mobile terminals are located.

In the embodiment of the present invention, the predetermined time may be one day. In order to simulate the spatial distribution of population in different types of buildings in a certain city, the types of buildings can be divided according to the types of human activities carried by the buildings. The types of buildings include but are not limited to residences, workplaces, etc. For example, buildings such as private residences, ordinary residences, and commercial residences mainly carry human living activities, and the above-mentioned buildings can be divided into residential areas of the city; commercial streets, office buildings and other buildings mainly carry human work activities, and the above-mentioned buildings can be divided into Buildings are divided into workplaces for the city. The positioning data of multiple mobile terminals on a certain day are extracted from all mobile terminals in the city. Wherein, the positioning data includes but not limited to the location of the base station where the mobile terminal is located, the current time, the identifier of the mobile terminal, etc., and the mobile terminal includes but not limited to a mobile phone, a tablet computer, and the like.

In the embodiment of the present invention, in order to improve the accuracy of simulating the spatial distribution of the population, a certain amount of positioning data can be obtained according to the number of people in the city who need to simulate the spatial distribution of the population and the actual demand.

In step S102, map the positions of the multiple mobile terminals from the base station to the building range within the coverage of the base station, so as to obtain the position distribution of the multiple mobile terminals within the building range .

In the embodiment of the present invention, according to the positions of the base stations where the multiple mobile terminals are located within the predetermined time obtained in step S101, different types of buildings in a certain city, for example, residences and Workingly, map the position of the base station where each mobile terminal is located in the plurality of mobile terminals to the range of each building in the residential area within the coverage of the base station, and then the location of each building in the residential area can be obtained. The location distribution of mobile terminals, that is, by upgrading the positioning data of each mobile terminal from the base station level to the residential area within the coverage of the base station to simulate the population spatial distribution of the residential area, which improves the real-time simulation of the spatial population distribution of the residential area. and accuracy; or map the position of the base station where each mobile terminal is located in the plurality of mobile terminals to the scope of each building in the work site within the coverage of the base station, and you can obtain the location of each building in the work site The location distribution of mobile terminals within the object range, that is, by upgrading the positioning data of each mobile terminal from the base station level to the work site within the coverage of the base station to simulate the population spatial distribution of the work site, which improves the population space of the simulated work site The real-time and accuracy of the distribution.

In step S103, the number of mobile terminals within the building is counted according to the location distribution of the plurality of mobile terminals within the building and a preset spatial resolution.

In the embodiment of the present invention, according to the location distribution of the plurality of mobile terminals within the range of each building in the residence within the coverage of the base station and the preset spatial resolution, the statistics of each building in the residence can be counted. The number of mobile terminals within the scope of a building; or according to the location distribution of the plurality of mobile terminals within the coverage of the base station within the scope of each building and the preset spatial resolution, the statistics of the The number of mobile terminals within the range of each building in the workplace. Here, the preset spatial resolution is 50 meters*50 meters, which is not limited here.

In step S104, the population spatial distribution within the building is simulated according to the counted number of mobile terminals.

In the embodiment of the present invention, according to the counted number of mobile terminals within each building in the residence within the coverage of the base station, the counted number of mobile terminals within each building of the residence can be converted into a grid data, and simulate the population spatial distribution of the place of residence according to the raster data; or according to the statistics of the number of mobile terminals in each building in the work place within the coverage of the base station, the area of each building in the work place The number of mobile terminals counted within is converted into raster data, and the population spatial distribution of the workplace is simulated based on the raster data.

In the embodiment of the present invention, the position distribution of multiple mobile terminals within the building range is obtained by acquiring the positions of the base stations where multiple mobile terminals are located within a predetermined time, and mapping the positions to the building range within the coverage of the base station , and count the number of mobile terminals within the building range according to the location distribution and the preset spatial resolution, and simulate the population spatial distribution within the building range according to the counted number of mobile terminals. In the embodiment of the present invention, the location of the base station where the mobile terminal is located is mapped to different types of buildings within the coverage of the base station, and the population space of different building types is simulated according to the number of mobile terminals in different types of buildings. distribution, thereby improving the accuracy of simulating the spatial distribution of population in different building types.

Embodiment two:

FIG. 2 shows the implementation process of the simulation method for population spatial distribution provided by Embodiment 2 of the present invention, and the implementation process is described in detail as follows:

In step S201, positioning data of a plurality of mobile terminals within a predetermined time is acquired, the positioning data including the positions of the base stations where the plurality of mobile terminals are located.

In the embodiment of the present invention, the predetermined time may be one day. In order to simulate the population spatial distribution of a city in different types of buildings, the location data of multiple mobile terminals on a certain day can be extracted from all mobile terminals in the city. Wherein, the positioning data includes but not limited to the location of the base station where the mobile terminal is located, the current time, the identifier of the mobile terminal, etc., and the mobile terminal includes but not limited to a mobile phone, a tablet computer, and the like.

In the embodiment of the present invention, in order to improve the accuracy of simulating the spatial distribution of the population, a certain amount of positioning data can be obtained according to the number of people in the city who need to simulate the spatial distribution of the population and the actual demand.

Preferably, before obtaining the positioning data of multiple mobile terminals within a predetermined time in step S201, the method further includes:

Sets the building type weight.

In the embodiment of the present invention, the buildings are the main carrying units for the activities of the urban population, and different types of buildings clearly divide the activity types of the population. For example, in a building whose main attribute is residence, such as a residential area, the type of activities carried out by the population is mainly living and living, not work. However, in buildings with business as the main attribute, such as CBD and other areas, the types of activities carried out by the population are mainly work, and seldom carry out residential activities. Therefore, for how to upgrade the positioning data based on mobile terminals from the base station level to the population spatial distribution within the coverage of the base station and the work place, it is necessary to set the weight of the building type, such as setting to live As the main attribute of the building, the probability of carrying the living population is 0.9, and the probability of carrying the working population is 0.1; if the building with work as the main attribute is set, the probability of carrying the working population is 0.9, and the probability of carrying the living population is 0.9. The probability is 0.1. The building type weights can be set according to the different types of human activities carried by the buildings within the coverage of each base station and the actual situation of the specific research city. The building type weights include but are not limited to residence weights and work land value etc.

In step S202, the number M of the base stations where the multiple mobile terminals are located is counted according to the locations of the base stations where the multiple mobile terminals are located, where M is an integer greater than zero.

In the embodiment of the present invention, according to the position of the base station where the mobile terminal is located in the positioning data of multiple mobile terminals acquired in step S201 on a certain day, the base station where each mobile terminal of the multiple mobile terminals is located can be judged location, and then count the number of base stations where the multiple mobile terminals are located.

In step S203, the number of mobile terminals within the coverage of each base station is acquired according to the locations of the base stations where the multiple mobile terminals are located.

In the embodiment of the present invention, the number of mobile terminals within the coverage of each base station can be acquired according to the location of the base station where each mobile terminal among the plurality of mobile terminals is located.

In step S204, according to the number of mobile terminals within the coverage of each base station, the preset building type weight and the area of each building within the coverage of each base station, calculate the The number of mobile terminals per building within the coverage area.

In the embodiment of the present invention, for different types of buildings in a certain city, such as residences and workplaces, according to the number of mobile terminals within the coverage of each base station, the preset residence weight and the The area of each building in the residence within the coverage of each base station, calculating the number of mobile terminals within each building within the residence within the coverage of each base station; or according to the mobile terminals within the coverage of each base station The number of terminals, the preset work site weight and the area of each building in the work site within the coverage of each base station are used to calculate the number of mobile terminals in the work site within the coverage of each base station.

Further, according to the number of mobile terminals within the coverage area of each base station, the preset building type weight and the area of each building within the coverage area of each base station, calculate the The number of mobile terminals per building within the coverage area can include:

Step 1, according to the preset building type weight and the area of each building within the coverage of each base station, calculate the number of mobile terminals within the coverage of each base station within the range of the i-th building probability Among them, W _i is the building type weight of the i-th building, W _j is the building type weight of the j-th building, A _i is the area of the i-th building, and A _j is the j-th building The area of the object, i, j, n are integers greater than zero.

In the embodiment of the present invention, for different types of buildings in a certain city, the weight of each residence can be calculated according to the preset residence weight and the area of each building in the residence within the coverage of each base station. The probability that a mobile terminal in a residential area within the coverage of a base station is within the range of the i-th building Among them, W _i is the residence weight of the i-th building, W _j is the residence weight of the j-th building, A _i is the area of the i-th building, and A _j is the area of the j-th building Area; or according to the preset weight of the work site and the area of each building in the work site within the coverage of each base station, calculate the i-th position of the mobile terminal in the work site within the coverage of each base station Probability within the building Among them, W _i is the work site weight of the i-th building, W _j is the work site weight of the j-th building, A _i is the area of the i-th building, and A _j is the area of the j-th building area.

Step 2, according to the number of mobile terminals within the coverage of each base station and the probability P _i that the mobile terminals within the coverage of each base station are within the range of the i-th building, calculate the i-th building within the coverage of each base station The number of mobile terminals within a building.

In the embodiment of the present invention, for different types of buildings in a certain city, according to the number of mobile terminals in the residences within the coverage of each base station and the location of the mobile terminal in the i-th residence within the coverage of each base station The probability P _i within the building range, calculate the number of mobile terminals within the range of the i-th building in the residential area within the coverage area of each base station; or according to the number of mobile terminals in the working area within the coverage area of each base station and the Describe the probability P _i that the mobile terminal is within the range of the i-th building in the working site within the coverage of each base station, and calculate the number of mobile terminals within the range of the i-th building in the working site within the coverage of each base station.

Step 3: Repeat step 1 and step 2 until the number of mobile terminals in each building within the coverage of each base station is calculated.

In the embodiment of the present invention, step 1 and step 2 are repeatedly executed to calculate the number of mobile terminals within each building within the coverage of each base station; or to calculate the number of mobile terminals within the coverage of each base station The number of mobile terminals within each building.

In step S205, according to the number of mobile terminals within the range of each building, the location distribution of the plurality of mobile terminals within the coverage range of the M base stations within the building range is obtained.

In the embodiment of the present invention, according to the number of mobile terminals within the range of each building in the residence within the coverage of each base station, the range of buildings in the residences of the plurality of mobile terminals within the range of M base stations can be obtained or according to the number of mobile terminals in each building in the working place within the coverage of each base station, obtain the number of mobile terminals within the building range in the working place within the range of M base stations location distribution. That is, the positioning data of each mobile terminal is upgraded from the base station level to the residence or work place within the coverage of the base station, which improves the real-time and accuracy of simulating the population spatial distribution of the residence or work place.

In step S206, the number of mobile terminals within the building is counted according to the location distribution of the multiple mobile terminals within the building within the coverage of the M base stations and the preset spatial resolution.

In the embodiment of the present invention, according to the location distribution of the plurality of mobile terminals within the range of each building in the residence within the coverage of the base station and the preset spatial resolution, the statistics of each building in the residence can be counted. The number of mobile terminals within the scope of a building; or according to the location distribution of the plurality of mobile terminals within the coverage of the base station within the scope of each building and the preset spatial resolution, the statistics of the The number of mobile terminals within the range of each building in the workplace. Here, the preset spatial resolution is 50 meters*50 meters, which is not limited here.

In step S207, the population spatial distribution within the building is simulated according to the counted number of mobile terminals.

In this embodiment of the present invention, according to the counted number of mobile terminals within each building within the residential area within the coverage of the M base stations, the number of mobile terminals counted within each building within the residential area can be converted into grid data, and simulate the population spatial distribution of the residence according to the grid data; or according to the statistics of the number of mobile terminals within each building in the work site within the coverage of the M base stations, the work The number of mobile terminals counted within each building of the site is converted into raster data, and the population spatial distribution of the workplace is simulated based on the raster data.

Exemplarily, the mobile phone positioning data of a certain city in China on a certain day in March 2012 can be selected for experimentation. From about 16 million mobile phone location records, the residences of 10.12 million mobile phone users and the workplaces of 7.93 million mobile phone users were identified. For example, Table 1 is the weight setting table of the city's residence and work place. Figure 3 is the spatial distribution map of the city's residents' residence based on mobile phone positioning data, that is, the city's residence The simulated map of population spatial distribution; Figure 4 is the spatial distribution map of the city’s residents’ workplaces based on mobile phone positioning data, that is, the simulated map of the population spatial distribution of the city’s workplaces.

Table 1 Weights of place of residence and place of work

The embodiment of the present invention obtains the positions of multiple mobile terminals at the base station within a predetermined time, and maps the positions to the building ranges within the coverage of the base station according to different types of building type weights, thereby obtaining multiple mobile terminals. The location distribution of terminals within the building range, and the number of mobile terminals within the building range is counted according to the location distribution and the preset spatial resolution, and the population spatial distribution within the building range is simulated according to the counted number of mobile terminals. According to the weights of different types of buildings, the embodiments of the present invention map the position of the base station where the mobile terminal is located to different types of buildings within the coverage of the base station, and map to different types of buildings within the range of buildings. The number of mobile terminals is used to simulate the spatial distribution of population in different building types, thereby improving the accuracy of simulating the spatial distribution of population in different building types.

Embodiment three:

Figure 5 shows a schematic diagram of the composition of the simulation device for the spatial distribution of population provided by Embodiment 3 of the present invention. For the convenience of description, only the parts related to the embodiment of the present invention are shown, and the details are as follows:

The simulation device of the population spatial distribution includes an acquisition module 51, a mapping module 52, a statistics module 53 and a simulation module 54;

Wherein, the acquiring module 51 is configured to acquire positioning data of multiple mobile terminals within a predetermined time, the positioning data including the positions of the base stations where the multiple mobile terminals are located;

A mapping module 52, configured to map the multiple mobile terminals from the positions of the base station to the building range within the coverage of the base station, so as to obtain the positions of the multiple mobile terminals within the building range distributed;

A statistics module 53, configured to count the number of mobile terminals within the building according to the location distribution of the plurality of mobile terminals within the building and a preset spatial resolution;

The simulation module 54 is used for simulating the population spatial distribution within the scope of the building according to the counted number of mobile terminals.

The device for simulating the spatial distribution of population provided by the embodiment of the present invention can be used in the first corresponding method embodiment above. For details, refer to the description of the first embodiment above, and details are not repeated here.

Embodiment four:

Figure 6 shows a schematic diagram of the composition of the simulation device for the spatial distribution of population provided by Embodiment 4 of the present invention. For the convenience of description, only the parts related to the embodiment of the present invention are shown, and the details are as follows:

The simulation device of the population spatial distribution includes a setting module 61, an acquisition module 62, a mapping module 63, a statistics module 64 and a simulation module 65;

Wherein, the setting module 61 is used to set the building type weight before acquiring the positioning data of a plurality of mobile terminals within a predetermined time;

An acquisition module 62, configured to acquire positioning data of a plurality of mobile terminals within a predetermined time, the positioning data including the positions of the base stations where the plurality of mobile terminals are located;

A mapping module 63, configured to map the multiple mobile terminals from the location of the base station to the building within the coverage of the base station, so as to obtain the locations of the multiple mobile terminals within the building distributed;

A statistical module 64, configured to count the number of mobile terminals within the building according to the location distribution of the plurality of mobile terminals within the building and a preset spatial resolution;

The simulation module 65 is used for simulating the population spatial distribution within the scope of the building according to the counted number of mobile terminals.

Further, the mapping module 63 includes:

The statistics unit 631 is configured to count the number M of the base stations where the multiple mobile terminals are located according to the locations of the base stations where the multiple mobile terminals are located, where M is an integer greater than zero;

An acquisition unit 632, configured to acquire the number of mobile terminals within the coverage of each base station according to the positions of the base stations where the plurality of mobile terminals are located;

Calculation unit 633, configured to calculate each The number of mobile terminals within each building within the coverage of the base station;

The obtaining unit 634 is configured to obtain the location distribution of the plurality of mobile terminals within the coverage of the M base stations within the building range according to the number of mobile terminals within the range of each building.

Further, the calculation unit 633 includes:

The first calculation subunit is used to calculate the i-th mobile terminal within the coverage of each base station according to the preset building type weight and the area of each building within the coverage of each base station Probability within the building Among them, W _i is the building type weight of the i-th building, W _j is the building type weight of the j-th building, A _i is the area of the i-th building, and A _j is the j-th building The area of the object, i, j, n are integers greater than zero;

The second calculation subunit is used to calculate each base station according to the number of mobile terminals within the coverage of each base station and the probability P _i that the mobile terminals within the coverage of each base station are within the range of the i-th building The number of mobile terminals within the range of the i-th building within the coverage area;

The third calculation subunit is configured to repeatedly execute the first calculation subunit and the second calculation subunit until the number of mobile terminals in each building within the coverage of each base station is calculated.

The device for simulating the spatial distribution of the population provided by the embodiment of the present invention can be used in the above-mentioned corresponding second method embodiment. For details, refer to the description of the above-mentioned second embodiment, which will not be repeated here.

Those skilled in the art can clearly understand that for the convenience and brevity of description, only the division of the above-mentioned functional modules is used as an example. In practical applications, the above-mentioned function allocation can be completed by different functional modules according to needs. That is, the internal structure of the device is divided into different functional modules, and the above functional modules can be realized in the form of hardware or in the form of software. In addition, the specific names of the functional modules are only for the convenience of distinguishing each other, and are not used to limit the protection scope of the present application.

In summary, the embodiment of the present invention acquires the positions of multiple mobile terminals at the base station within a predetermined time, and maps the positions to the building range within the coverage of the base station, and then obtains the location of multiple mobile terminals within the building range. According to the location distribution within the building, the number of mobile terminals within the building is counted according to the location distribution and the preset spatial resolution, and the population spatial distribution within the building is simulated according to the counted number of mobile terminals. In the embodiment of the present invention, the location of the base station where the mobile terminal is located is mapped to different types of buildings within the coverage of the base station, and the population space of different building types is simulated according to the number of mobile terminals in different types of buildings. distribution, thereby improving the accuracy of simulating the spatial distribution of population in different building types.

Those of ordinary skill in the art can also understand that all or part of the steps in the method of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium, so The storage medium mentioned above includes ROM/RAM, magnetic disk, optical disk, etc.

The above descriptions are only preferred embodiments of the present invention, and are not intended to limit the present invention. Any modifications, equivalent replacements and improvements made within the spirit and principles of the present invention should be included in the protection of the present invention. within range.

Claims (4)

1. A simulation method of population spatial distribution, characterized in that the method comprises: Acquiring positioning data of multiple mobile terminals within a predetermined time, the positioning data including the positions of the base stations where the multiple mobile terminals are located, current time, and identifiers of the multiple mobile terminals; Mapping the multiple mobile terminals from the location of the base station to the building range within the coverage of the base station, so as to obtain the location distribution of the multiple mobile terminals within the building range; Counting the number of mobile terminals within the building according to the location distribution of the plurality of mobile terminals within the building and a preset spatial resolution; Simulating the spatial distribution of population within the scope of the building according to the counted number of mobile terminals; Before obtaining the positioning data of multiple mobile terminals within a predetermined time, it also includes: Set the building type weight; The mapping of the plurality of mobile terminals from the positions of the base stations to the range of the building, so as to obtain the position distribution of the plurality of mobile terminals within the range of the building includes: According to the positions of the base stations where the multiple mobile terminals are located, count the number M of the base stations where the multiple mobile terminals are located, where M is an integer greater than zero; Acquiring the number of mobile terminals within the coverage of each base station according to the positions of the base stations where the multiple mobile terminals are located; According to the number of mobile terminals within the coverage of each base station, the preset building type weights and the area of each building within the coverage of each base station, calculate each the number of mobile terminals within the confines of the building; According to the number of mobile terminals within the range of each building, the location distribution of the plurality of mobile terminals within the range of buildings covered by the M base stations is obtained. 2. The method according to claim 1, characterized in that, according to the number of mobile terminals in the coverage area of each base station, the preset building type weight and the number of mobile terminals in the coverage area of each base station The area of a building, calculating the number of mobile terminals in each building within the coverage of each base station includes: Step 1, according to the preset building type weight and the area of each building within the coverage of each base station, calculate the number of mobile terminals within the coverage of each base station within the range of the i-th building probability Among them, W _i is the building type weight of the i-th building, W _j is the building type weight of the j-th building, A _i is the area of the i-th building, and A _j is the j-th building The area of the object, i, j, n are integers greater than zero, and n is the number of buildings; Step 2, according to the number of mobile terminals within the coverage of each base station and the probability P _i that the mobile terminals within the coverage of each base station are within the range of the i-th building, calculate the i-th building within the coverage of each base station The number of mobile terminals within a building; Step 3: Repeat step 1 and step 2 until the number of mobile terminals in each building within the coverage of each base station is calculated. 3. A simulation device of population spatial distribution, characterized in that said device comprises: An acquisition module, configured to acquire positioning data of a plurality of mobile terminals within a predetermined time, the positioning data including the positions of the base stations where the plurality of mobile terminals are located, current time, and identifiers of the plurality of mobile terminals; A mapping module, configured to map the plurality of mobile terminals from the location of the base station to the building range within the coverage of the base station, so as to obtain the location distribution of the plurality of mobile terminals within the building range ; A statistical module, configured to count the number of mobile terminals within the building range according to the location distribution of the plurality of mobile terminals within the building range and a preset spatial resolution; A simulation module, used to simulate the spatial distribution of population within the scope of the building according to the counted number of mobile terminals; The device also includes: The setting module is used to set the building type weight before acquiring the positioning data of multiple mobile terminals within a predetermined time; The mapping module includes: A statistics unit, configured to count the number M of the base stations where the multiple mobile terminals are located according to the locations of the base stations where the multiple mobile terminals are located, where M is an integer greater than zero; An acquisition unit, configured to acquire the number of mobile terminals within the coverage of each base station according to the positions of the base stations where the plurality of mobile terminals are located; a calculation unit, configured to calculate the number of mobile terminals within the coverage of each base station, the preset building type weights, and the area of each building within the coverage of each base station; The number of mobile terminals per building within the coverage area; The obtaining unit is configured to obtain, according to the number of mobile terminals within the range of each building, the location distribution of the plurality of mobile terminals within the coverage of the M base stations within the building range. 4. The device according to claim 3, wherein the computing unit comprises: The first calculation subunit is used to calculate the i-th mobile terminal within the coverage of each base station according to the preset building type weight and the area of each building within the coverage of each base station Probability within the building Among them, W _i is the building type weight of the i-th building, W _j is the building type weight of the j-th building, A _i is the area of the i-th building, and A _j is the j-th building The area of the object, i, j, n are integers greater than zero, and n is the number of buildings; The second calculation subunit is used to calculate each base station according to the number of mobile terminals within the coverage of each base station and the probability P _i that the mobile terminals within the coverage of each base station are within the range of the i-th building The number of mobile terminals within the range of the i-th building within the coverage area; The third calculation subunit is configured to repeatedly execute the first calculation subunit and the second calculation subunit until the number of mobile terminals in each building within the coverage of each base station is calculated.