National land space planning method and system based on mobile phone signaling

Abstract

The present invention relates to the technical field of big data analysis, and provides a method and system for land space planning based on mobile phone signaling. The method comprises: obtaining desensitized mobile phone signaling data based on the communication signaling between the mobile phone user and the base station; extracting the travel chain and location model of the mobile phone user based on the desensitized mobile phone signaling data; for the land space to be planned, obtaining a first planning result according to the travel chain, the location model and the planning control line data; and correcting the first planning result according to the planning sensitive area data to obtain the land space planning result. The present invention can obtain the land space planning result more efficiently.

Description

Technical Field

[0001] The present invention relates to the technical field of big data analysis, and in particular to a land space planning method and system based on mobile phone signaling. Background Art

[0002] Mobile phone data can generally be divided into two types: one is mobile phone call data (Mobile CDR Data), which reflects the information connection strength between cities through the frequency and duration of calls between mobile phone users; the other is mobile phone signaling data (Mobile Signal Data), which determines the spatial location of users through the information exchange between mobile phone users and base stations, and can relatively accurately record the spatiotemporal trajectory of human flow. In comparison, the latter is more meaningful for planning research. As long as mobile phone users turn on and off, make calls, send text messages, update their locations, and switch base stations, signaling data will be recorded. Mobile phone signaling data has the following characteristics: first, it has a large sample, a wide coverage, and a high user ownership rate, which can better reflect the spatiotemporal laws of human flow behavior; second, it is anonymous data with good security, without any personal attribute information, and does not involve personal privacy; third, it is involuntary data, and users passively provide information and cannot interfere with the survey results; fourth, it has dynamic real-time and continuity, and can accurately reflect the spatial location of mobile phone users at different time points in a continuous time segment, providing the possibility of quantitatively describing the flow trajectory of people in the region.

[0003] The existing national land space planning method based on mobile phone signaling has the disadvantages of a single data source, low planning efficiency, and the need to adjust the planning scheme multiple times. Therefore, how to provide a more efficient and reliable national land space planning method has become a technical problem that needs to be urgently solved in the industry. Summary of the invention

[0004] The present invention provides a land space planning method and system based on mobile phone signaling, which is used to solve the defects of the prior art such as single data source, low planning efficiency and the need to adjust the planning scheme multiple times, so as to realize more efficient and reliable land space planning.

[0005] The present invention provides a land space planning method based on mobile phone signaling, comprising:

[0006] Obtaining desensitized mobile phone signaling data based on the communication signaling between the mobile phone user and the base station; the mobile phone signaling data includes the mobile phone user's communication location and the mobile phone user's communication time;

[0007] Extracting the travel chain and location model of the mobile phone user based on the desensitized mobile phone signaling data; the travel chain refers to a single travel trajectory of the mobile phone user; the location model refers to the location distribution of the mobile phone user at a preset time or a preset time period in the national land space to be planned;

[0008] For the land space to be planned, obtaining a first planning result according to the travel chain, the location model and the planning control line data;

[0009] The first planning result is corrected according to the planning sensitive area data to obtain the national land space planning result; the planning sensitive area data includes farmland area, ecological sensitive area, restricted area, urban expansion area and preset buffer conditions.

[0010] According to a method for land space planning based on mobile phone signaling provided by the present invention, the desensitized mobile phone signaling data includes one-to-one corresponding signaling tracks and mobile phone user structure characteristics; the signaling track is a set of communication signaling between a mobile phone user and a base station, and the communication signaling includes the mobile phone user's communication location and the mobile phone user's communication time; the mobile phone user structure characteristics are the structure information of the mobile phone user to which the signaling track belongs, including the mobile phone user's age and the mobile phone user's place of origin;

[0011] The step of obtaining a first planning result according to the travel chain, the location model and the planning control line data comprises:

[0012] Obtaining an age-sensitive spatial planning result according to the age of the mobile phone user, the travel chain, the location model, and the planning control line data;

[0013] Obtaining a location-sensitive space planning result according to the location of the mobile phone user, the travel chain, the location model, and the planning control line data;

[0014] A non-sensitive space planning result is obtained according to the travel chain, the location model and the planning control line data; the non-sensitive space refers to the space other than the age-sensitive space and the place-of-origin-sensitive space in the national land space to be planned;

[0015] The first planning result is determined according to the age-sensitive space planning results, the location-sensitive space planning results and the non-sensitive space planning results.

[0016] According to a land space planning method based on mobile phone signaling provided by the present invention, the step of correcting the first planning result according to the planning sensitive area data to obtain the land space planning result includes:

[0017] The first planning result is corrected according to the basic farmland protection index, the location of the ecologically sensitive area, the location of the control area and the location of the urban expansion area to obtain the second planning result.

[0018] According to a method for land space planning based on mobile phone signaling provided by the present invention, after the step of correcting the first planning result according to the basic farmland protection index, the location of the ecologically sensitive area, the location of the control area and the location of the urban expansion area to obtain the second planning result, the method further includes:

[0019] The second planning result is modified according to a preset buffer condition to obtain a third planning result; in the third planning result, the distance between the adjacent planning area and the planning control line, the farmland area, the ecologically sensitive area and the control area meets the buffer condition;

[0020] The third planning result that has the largest overlapping area with the original planning of the national land space to be planned is determined as the national land space planning result.

[0021] A land space planning method based on mobile phone signaling provided by the present invention:

[0022] The starting time of the travel chain is the last time of the mobile phone user's stay in the first area; the ending time of the travel chain is the first time of the mobile phone user's stay in the second area starting from the starting time; the stay time is greater than a set first threshold; the areas of the first area and the second area are both less than a set second threshold;

[0023] The travel chains include similar travel chains and identical travel chains; the similar travel chains refer to at least two travel chains whose degree of coincidence is greater than a set third threshold; the identical travel chains refer to at least two travel chains whose degree of coincidence is greater than a set fourth threshold; the fourth threshold is greater than the third threshold;

[0024] The step of obtaining a first planning result according to the travel chain, the location model and the planning control line data comprises:

[0025] After considering the mobile phone users of the same travel chain as the same user and considering the mobile phone users of the similar travel chains as users riding the same means of transportation, the travel chain is parsed to obtain travel chain correction data;

[0026] A first planning result is obtained according to the travel chain correction data, the position model and the planning control line data.

[0027] According to a land space planning method based on mobile phone signaling provided by the present invention, the location model includes any one or any combination of the following:

[0028] A first sub-model for obtaining the number of mobile phone users in a communication cell based on a communication base station;

[0029] A second sub-model of the mobile phone user location point is obtained based on multiple communication cell locations and regional weighted operations of the mobile phone user's communication;

[0030] A third sub-model of the mobile phone user's residence time is obtained based on multiple signalings of the same mobile phone user in the same communication cell;

[0031] A fourth sub-model of the communication cells passed by and the communication cells resident by the same mobile phone user is obtained based on multiple signalings of the same mobile phone user.

[0032] The present invention also provides a land space planning system based on mobile phone signaling, comprising:

[0033] An acquisition module, used to acquire desensitized mobile phone signaling data based on the communication signaling between the mobile phone user and the base station; the mobile phone signaling data includes the communication location and communication time of the mobile phone user;

[0034] An extraction module is used to extract the travel chain and location model of the mobile phone user based on the desensitized mobile phone signaling data; the travel chain refers to a single travel trajectory of the mobile phone user; the location model refers to the location distribution of the mobile phone user at a preset time or a preset time period in the national land space to be planned;

[0035] A planning module, for obtaining a first planning result for the land space to be planned according to the travel chain, the location model and the planning control line data;

[0036] A correction module is used to correct the first planning result according to the planning sensitive area data to obtain the national land space planning result; the planning sensitive area data includes farmland areas, ecological sensitive areas, restricted areas, urban expansion areas and preset buffer conditions.

[0037] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps of any of the above-mentioned methods for land space planning based on mobile phone signaling are implemented.

[0038] The present invention also provides a non-transitory computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of the national land space planning method based on mobile phone signaling as described in any of the above are implemented.

[0039] The present invention also provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of any of the above-mentioned methods for land space planning based on mobile phone signaling.

[0040] The method and system for national land space planning based on mobile phone signaling provided by the present invention extracts the travel chain and location model through the desensitized mobile phone signaling data to obtain the first planning result, and corrects the first planning result based on the planning sensitive area data, so as to obtain the national land space planning result more efficiently; at the same time, compared with other types of big data sources, mobile phone signaling data has the widest coverage, accurate positioning information, high precision, and more secondary identification information. After a series of work such as preprocessing, data denoising and deduplication, sample expansion and matching, and model analysis, mobile phone signaling data has a strong advantage in being used for national land space planning in conjunction with planning sensitive area data. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0042] Figure 1 This is one of the flow charts of the land space planning method based on mobile phone signaling provided by the present invention;

[0043] Figure 2 This is the second flow chart of the land space planning method based on mobile phone signaling provided by the present invention;

[0044] Figure 3 This is the third flow chart of the land space planning method based on mobile phone signaling provided by the present invention;

[0045] Figure 4 This is the fourth flow chart of the land space planning method based on mobile phone signaling provided by the present invention;

[0046] Figure 5 It is a structural schematic diagram of a national land space planning device based on mobile phone signaling provided by the present invention;

[0047] Figure 6 It is a structural schematic diagram of the electronic device provided by the present invention.

[0048] Reference numerals:

[0049] 501: Get module;

[0050] 502: Extraction module;

[0051] 503: planning module;

[0052] 504: Correction module;

[0053] 610: processor;

[0054] 620: communication interface;

[0055] 630: memory;

[0056] 640: Communication bus. DETAILED DESCRIPTION

[0057] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0058] Combine the following Figure 1-Figure 4 The present invention describes a land space planning method based on mobile phone signaling.

[0059] like Figure 1 As shown, this embodiment provides a land space planning method based on mobile phone signaling, including:

[0060] Step 102, obtaining desensitized mobile phone signaling data based on the communication signaling between the mobile phone user and the base station; the mobile phone signaling data includes the communication location of the mobile phone user and the communication time of the mobile phone user;

[0061] Step 104, extracting the travel chain and location model of the mobile phone user based on the desensitized mobile phone signaling data; the travel chain refers to a single travel trajectory of the mobile phone user; the location model refers to the location distribution of the mobile phone user at a preset time or a preset time period in the national land space to be planned;

[0062] Step 106, for the national land space to be planned, obtaining a first planning result according to the travel chain, the location model and the planning control line data;

[0063] In a preferred embodiment, the planning control line data includes red line, green line, blue line, purple line, black line, orange line and yellow line data;

[0064] Step 108, correcting the first planning result according to the planning sensitive area data to obtain the national land space planning result; the planning sensitive area data includes farmland areas, ecological sensitive areas, restricted areas, urban expansion areas and preset buffer conditions.

[0065] In step 102 of this embodiment, the desensitized mobile phone signaling data refers to the data generated when the mobile phone user makes a call, sends a text message, or moves, and the signaling trajectory of the same user is captured and recorded by the operator's communication base station. The data is finally obtained after decryption, desensitization, and sample expansion, and can be used for research on residents' behavioral preferences, mobile trajectory analysis, urban spatial layout, etc.

[0066] The spatial resolution of mobile phone signaling data is mostly the base station, and the temporal resolution can be accurate to seconds. The mobile phone signaling data field contains time and spatial location attributes, as well as call and message records. Through the association of the above information, the user's travel trajectory can be inferred, which is a good data source for studying the behavior and spatial distribution of urban residents. However, there is also the leakage of personal privacy, so it is very important to do a good job of desensitization and data protection.

[0067] Mobile signaling has the following characteristics: full coverage means that as long as the mobile phone is turned on, the positioning system will automatically capture the user's dynamic real-time information around the clock, and the scope is not limited to the territorial scope of the mobile phone operator. Most users can obtain the activity track of the whole country, and users such as Global Communication can also capture their global activity track; high precision means that the location information of mobile signaling has accurate latitude and longitude information, and the time is accurate to the second, with high data accuracy, which is convenient for accurately calculating the user's activity track; real-time dynamics means that the user's spatial information will change at different times, and the location information is constantly changing; information relevance means that in addition to mobile phone call attributes such as call time and location, SMS sending time, call other party's number information, etc., there is also related spatial information such as the real-time location of the call, and the two types of information are related. Storage redundancy means that the mobile signaling data is very massive, and a large amount of storage information is generated every day. If this information is not processed in time, it will form a massive database that takes up a lot of hard disk and server space, which contains a lot of redundant information.

[0068] Based on the characteristics of mobile phone signaling data, it can be seen that the biggest advantage of mobile phone signaling is: wide data coverage, as long as the user turns on the phone, travel information can be captured. Since the coverage rate of base stations in the communication sector is very high, and most mobile phone users only turn off their phones during the late night sleep period or in places where mobile phones are restricted, such as airplanes and confidential departments, mobile phone signaling data has the widest coverage compared to other big data sources, and can capture the travel trajectory information of travelers throughout the day. Since domestic travelers of different modes have the habit of preferring mobile phone navigation, although the elderly and children use mobile phones less frequently, the travel activities of elderly and young users are small, which has little impact on the overall research accuracy, making mobile phone signaling data highly credible and complete in terms of the travel activity patterns of the research population. At the same time, mobile phone signaling data also has relatively mature algorithms and databases for analyzing traffic travel trajectories, which has a good foundation in subsequent research work and is convenient for the next step of work.

[0069] In step 106, the red line, green line, blue line, purple line, black line, orange line and yellow line in the planning control line data specifically refer to:

[0070] "Red line" refers to the road boundary line, that is, the road red line;

[0071] The “green line” is the boundary line of planned urban public green spaces, parks, unit green spaces and green spaces around the city;

[0072] The “blue line” defines the urban water surface, mainly including the boundaries of rivers, lakes and embankments;

[0073] The “Purple Line” defines the boundaries of historical and cultural districts;

[0074] The “black line” specifies municipal pipe networks such as water supply and drainage, electricity, telecommunications, and gas;

[0075] “Orange Line” rail transit management boundary line;

[0076] “Yellow Line” underground cultural relics management.

[0077] The "red line" refers to the dividing line between road land and other construction land. There may also be green lines, yellow lines, etc. between the red line and the building control line.

[0078] In a preferred embodiment, the preset buffer conditions include farmland buffer conditions, ecological buffer conditions, regulatory buffer conditions, urban expansion buffer conditions, and buffer conditions for planning control lines (i.e., red line buffer conditions, green line buffer conditions, blue line buffer conditions, purple line buffer conditions, black line buffer conditions, orange line buffer conditions, and yellow line buffer conditions). Different correction schemes are applicable to each planning sensitive area in step 108:

[0079] For farmland areas, the correction shall be made on the premise that the total area of ​​the region is not less than the set farmland area threshold; the farmland area threshold shall be set based on the basic farmland index and the farmland buffer condition, that is, the farmland area threshold is the sum of the basic farmland index and the farmland buffer area;

[0080] For ecologically sensitive areas and restricted areas, the distance between the boundaries of adjacent national land spaces and the boundaries of ecologically sensitive areas and restricted areas should not be less than the ecological buffer distance set based on ecological buffer conditions and the restricted buffer distance set based on the restricted area buffer conditions.

[0081] For urban expansion areas, corrections are made on the premise that the first planning result does not exceed the set urban threshold area; the urban threshold area should be set based on the urban planning area, taking into account the urban expansion buffer conditions, that is, the urban threshold area is the sum or difference of the urban planning area and the urban buffer area.

[0082] For the planning control line, corrections should be made based on the buffer conditions for the planning control line.

[0083] The beneficial effects of this embodiment are:

[0084] The first planning result is obtained by extracting the travel chain and location model from the desensitized mobile phone signaling data, and the first planning result is corrected based on the planning sensitive area data, so as to obtain the national land space planning result more efficiently; at the same time, compared with other types of big data sources, mobile phone signaling data has the widest coverage, accurate positioning information, high precision, and more secondary identification information. After a series of work such as preprocessing, data denoising and deduplication, sample expansion and matching, and model analysis, mobile phone signaling data has a strong advantage in being used in national land space planning in conjunction with planning sensitive area data.

[0085] According to the above embodiment, in this embodiment:

[0086] The desensitized mobile phone signaling data includes one-to-one corresponding signaling tracks and mobile phone user structure characteristics; the signaling track is a set of communication signaling between a mobile phone user and a base station, and the communication signaling includes the mobile phone user's communication location and the mobile phone user's communication time; the mobile phone user structure characteristics are the structure information of the mobile phone user to which the signaling track belongs, including the mobile phone user's age and the mobile phone user's place of origin;

[0087] like Figure 2 As shown, the step of obtaining the first planning result according to the travel chain, the location model and the planning control line data includes:

[0088] Step 1062, obtaining a planning result of an age-sensitive space (such as a nursing home, a school, a kindergarten, a bar, an internet cafe, etc.) according to the age of the mobile phone user, the travel chain, the location model, and the planning control line data;

[0089] Step 1064, obtaining a planning result of a sensitive space at the location (such as a scenic spot, park, amusement facility, public transportation facility, etc.) according to the location of the mobile phone user, the travel chain, the location model, and the planning control line data;

[0090] Step 1066, obtaining a non-sensitive space planning result according to the travel chain, the location model, and the planning control line data; the non-sensitive space refers to a space other than the age-sensitive space and the place-of-origin-sensitive space in the national land space to be planned;

[0091] The first planning result is determined according to the age-sensitive space planning results, the location-sensitive space planning results and the non-sensitive space planning results.

[0092] It is worth noting that steps 1062 and 1064 are not strictly independent steps, that is, the same space can be both an age-sensitive space and a place-of-origin-sensitive space (referred to as a composite space). In this case, steps 1062 and 1064 will be executed simultaneously, that is, the planning result of the composite space will be obtained based on the age of the mobile phone user, the place of origin of the mobile phone user, the travel chain, the location model and the planning control line data.

[0093] In a preferred embodiment, the mobile phone user structure feature further includes the gender of the mobile phone user, and the step of obtaining the first planning result according to the travel chain, the location model and the planning control line data further includes:

[0094] A gender-sensitive space planning result is obtained according to the gender of the mobile phone user, the travel chain, the location model and the planning control line data; the gender-sensitive space planning result is to adjust the number and proportion of gender-related facilities (such as mother-and-child rooms, public toilets, changing rooms, etc.) in age-sensitive spaces, place-sensitive spaces and non-sensitive spaces.

[0095] The beneficial effects of this embodiment are:

[0096] Taking into account the user's age, place of origin and gender distribution, more accurate and effective national land space planning results are obtained.

[0097] According to any of the above embodiments, in this embodiment:

[0098] like Figure 3 As shown, the step of correcting the first planning result according to the planning sensitive area data to obtain the national land space planning result includes:

[0099] Step 1082, correct the first planning result according to the basic farmland protection index, the location of the ecologically sensitive area, the location of the control area and the location of the urban expansion area to obtain the second planning result.

[0100] After the step of correcting the first planning result according to the basic farmland protection index, the location of the ecologically sensitive area, the location of the control area and the location of the urban expansion area to obtain the second planning result, the method further includes:

[0101] Step 1084, modifying the second planning result according to a preset buffer condition to obtain a third planning result; in the third planning result, the distance between the adjacent planning area and the planning control line, the farmland area, the ecologically sensitive area, and the control area satisfies the buffer condition;

[0102] Step 1086, determine the third planning result that has the largest overlapping area with the original planning of the national land space to be planned as the national land space planning result.

[0103] The beneficial effects of this embodiment are:

[0104] The first planning result is corrected based on the planning sensitive area data to obtain the national land space planning result more efficiently.

[0105] According to any of the above embodiments, in this embodiment:

[0106] The starting time of the travel chain is the last time of the mobile phone user's stay in the first area; the ending time of the travel chain is the first time of the mobile phone user's stay in the second area starting from the starting time; the stay time is greater than a set first threshold; the areas of the first area and the second area are both less than a set second threshold;

[0107] The travel chains include similar travel chains and identical travel chains; the similar travel chains refer to at least two travel chains whose degree of coincidence is greater than a set third threshold; the identical travel chains refer to at least two travel chains whose degree of coincidence is greater than a set fourth threshold; the fourth threshold is greater than the third threshold;

[0108] like Figure 4 As shown, the step of obtaining the first planning result according to the travel chain, the location model and the planning control line data includes:

[0109] Step 10620, after considering the mobile phone users of the same travel chain as the same user and considering the mobile phone users of the similar travel chains as users riding the same means of transportation, the travel chain is parsed to obtain travel chain correction data;

[0110] Step 10640: Obtain a first planning result according to the travel chain correction data, the position model, and the planning control line data.

[0111] The location model includes any one or any combination of the following:

[0112] A first sub-model for obtaining the number of mobile phone users in a communication cell based on a communication base station;

[0113] A second sub-model of the mobile phone user location point is obtained based on multiple communication cell locations and regional weighted operations of the mobile phone user's communication;

[0114] A third sub-model of the mobile phone user's residence time is obtained based on multiple signalings of the same mobile phone user in the same communication cell;

[0115] A fourth sub-model of the communication cells passed by and the communication cells resident by the same mobile phone user is obtained based on multiple signalings of the same mobile phone user.

[0116] The beneficial effects of this embodiment are:

[0117] It provides a more detailed and specific travel chain correction plan and location model, on this basis, the national land space planning results can be obtained more efficiently and accurately.

[0118] The following is a description of the national land space planning device based on mobile phone signaling provided by the present invention. The national land space planning device based on mobile phone signaling described below and the national land space planning method based on mobile phone signaling described above can be referenced to each other.

[0119] like Figure 5 As shown, this embodiment provides a land space planning system based on mobile phone signaling, including:

[0120] The acquisition module 501 is used to acquire desensitized mobile phone signaling data based on the communication signaling between the mobile phone user and the base station; the mobile phone signaling data includes the communication location and communication time of the mobile phone user;

[0121] Extraction module 502, for extracting the travel chain and location model of the mobile phone user based on the desensitized mobile phone signaling data; the travel chain refers to a single travel trajectory of the mobile phone user; the location model refers to the location distribution of the mobile phone user at a preset time or a preset time period in the national land space to be planned;

[0122] A planning module 503 is used to obtain a first planning result for the land space to be planned according to the travel chain, the location model and the planning control line data;

[0123] The correction module 504 is used to correct the first planning result according to the planning sensitive area data to obtain the national land space planning result; the planning sensitive area data includes farmland area, ecological sensitive area, control area, urban expansion area and preset buffer conditions.

[0124] Furthermore, the planning module 503 includes:

[0125] An age unit, used to obtain an age-sensitive spatial planning result according to the age of the mobile phone user, the travel chain, the location model and the planning control line data;

[0126] A location unit, used to obtain a location-sensitive space planning result according to the location of the mobile phone user, the travel chain, the location model and the planning control line data;

[0127] A non-sensitive unit is used to obtain a non-sensitive space planning result according to the travel chain, the location model and the planning control line data; the non-sensitive space refers to the space other than the age-sensitive space and the place-of-origin-sensitive space in the national land space to be planned;

[0128] The result determination unit is used to determine the first planning result according to the age-sensitive space planning result, the location-sensitive space planning result and the non-sensitive space planning result.

[0129] A travel chain correction unit, configured to regard mobile phone users of the same travel chain as the same user, and mobile phone users of similar travel chains as users riding the same means of transportation, and then parse the travel chain to obtain travel chain correction data;

[0130] The first planning result unit is used to obtain a first planning result according to the travel chain correction data, the position model and the planning control line data.

[0131] The starting time of the travel chain is the last time of the mobile phone user's stay in the first area; the ending time of the travel chain is the first time of the mobile phone user's stay in the second area starting from the starting time; the stay time is greater than a set first threshold; the areas of the first area and the second area are both less than a set second threshold;

[0132] The travel chains include similar travel chains and identical travel chains; the similar travel chains refer to at least two travel chains whose degree of coincidence is greater than a set third threshold; the identical travel chains refer to at least two travel chains whose degree of coincidence is greater than a set fourth threshold; the fourth threshold is greater than the third threshold;

[0133] The correction module 504 includes:

[0134] The first correction unit is used to correct the first planning result according to the basic farmland protection index, the location of the ecologically sensitive area, the location of the control area and the location of the urban expansion area to obtain the second planning result.

[0135] A second correction unit is used to correct the second planning result according to a preset buffer condition to obtain a third planning result; in the third planning result, the distance between the adjacent planning area and the planning control line, the farmland area, the ecologically sensitive area and the control area meets the buffer condition;

[0136] The third revision unit is used to determine the third planning result with the largest overlapping area with the original planning of the national land space to be planned as the national land space planning result.

[0137] The location model includes any one or any combination of the following:

[0138] A first sub-model for obtaining the number of mobile phone users in a communication cell based on a communication base station;

[0139] A second sub-model of the mobile phone user location point is obtained based on multiple communication cell locations and regional weighted operations of the mobile phone user's communication;

[0140] A third sub-model of the mobile phone user's residence time is obtained based on multiple signalings of the same mobile phone user in the same communication cell;

[0141] A fourth sub-model of the communication cells passed by and the communication cells resident by the same mobile phone user is obtained based on multiple signalings of the same mobile phone user.

[0142] Another more detailed system embodiment will be provided below from the perspective of practical application.

[0143] This embodiment proposes a method for national land space planning based on 5G mobile phone signaling, so that national land space planning is more accurate.

[0144] With the rapid development of my country's national economy, urban planning issues have become increasingly prominent. Traditional land space planning methods such as symposiums, questionnaires, data search, on-site surveys, traffic flow and mass communication can no longer meet the development needs of urban space planning in the new era. It is necessary to use scientific and accurate data methods to carry out space planning and construction. Mobile signaling can replace traditional planning methods, help government departments quickly understand the big data information around the planned land, and provide scientific and efficient planning methods for government decision-making.

[0145] The algorithm steps used in this embodiment are described as follows.

[0146] The most basic algorithm foundation for mobile signaling big data planning and analysis is to extract a complete travel chain. After the previous data acquisition, preprocessing and other processing work, the core work step of travel chain extraction is entered. The so-called travel chain refers to a single trip within the research scope, such as going to work. It captures the activity range (such as residential residence) of a mobile phone user that has not changed before leaving at a certain time in the morning. The position changes continuously at a certain speed, and a series of corresponding location travel information is collected. After arriving at a certain place (office), its activity range is within the specified time and the small radius specified by the specified threshold. The travel trajectory corresponding to this series of location information from the starting point to the arrival point can be determined as a complete travel chain. The activity radius of different travel chains varies greatly. For example, the travel distance of the travel chain within the urban area is generally 3-10 kilometers, while the single travel distance of inter-city travel, especially by airplane and high-speed rail, may exceed 1,000 kilometers. Therefore, for the calculation of travel chains in different research scopes, the most important thing is to scientifically set different threshold judgment criteria to accurately extract the corresponding travel information.

[0147] Specifically, the algorithm steps of this embodiment include:

[0148] Step 1, obtain mobile phone signaling data;

[0149] Step 1.1, determine the time and location scope of the data according to the needs;

[0150] Step 1.2: clarify the relationship between each sub-table in the database and the field information to be read;

[0151] Step 1.3, reading the corresponding table data in the database;

[0152] Step 1.4, consider the internal and external structure of the database;

[0153] Step 2, data preprocessing;

[0154] Step 2.1, data screening, screening out irrelevant data information;

[0155] Step 2.2, data cleaning, removing redundant data and unreadable data;

[0156] Step 2.3: Data deduplication, deduplication of data such as numbers with the same name;

[0157] Step 3, travel chain extraction;

[0158] Step 3.1, construct the trip chain determination criteria and conditions;

[0159] Step 3.2, design a trip chain determination algorithm;

[0160] Step 3.3, extracting travel chain data according to the algorithm;

[0161] Step 3.4, complete the travel chain data table;

[0162] Step 4: secondary processing of data;

[0163] Step 4.1, calculating the moving speed based on the location and time information of the mobile phone signaling;

[0164] Step 4.2, classify travel modes into major categories based on speed;

[0165] Step 4.3, segmenting travel modes based on factors such as extracted destination attributes;

[0166] Step 4.4, design OD (travel chain) generation algorithm.

[0167] The core of inferring traffic patterns from mobile phone signaling data is to obtain travel chains. According to the storage and reading records in the database within a certain time period, all travel chains within the time period are extracted, and similar travel chains and identical travel chains are distinguished. The initial travel chain basic database is formed:

[0168] Similar travel chains: The travel trajectory coincidence degree reaches more than 80%, which mostly appears in passengers of the same means of transportation, including high-speed rail and airplanes, taxis, self-driving cars, highway passenger buses, etc., but their travel trajectories before the starting point and after the end point of the trip have significant changes. Similar travel chains are an important basis for determining passengers of the same means of transportation.

[0169] Same travel chain: The travel trajectory consistency is as high as 95% or more. In addition to the high consistency of the trajectories within the extracted travel chain, there is also a lot of consistency in the trajectories outside the starting point of the travel chain. The main reason is that the user with the same name has more than two mobile phones. It is also possible that the users within the family or colleagues within the same unit travel. The same travel chain can be screened out or deduplicated according to the specific situation in the data preprocessing process.

[0170] The location model is as follows:

[0171] Based on the base station engineering parameter data, the grid is divided and the weighted centroid is calculated. Compared with traditional base station positioning, it is more accurate and has stronger anti-interference ability.

[0172] 1) Sensor perception method:

[0173] Taking the base station as the research object, the number of people at a certain base station location is counted and determined as the user's location.

[0174] 2) Human-centered perception method:

[0175] Taking people as the research object, the user location is accurately calculated as the centroid point after weighted calculation of multiple base station cells, which changes from the base station cell range to the network location with the highest probability. The minimum grid size can be 250 meters * 250 meters

[0176] 3) Based on human and base station analysis:

[0177] Subtracting the signaling times of each other, the base station locations where all signals are generated have a dwell time.

[0178] 4) Based on people and location analysis

[0179] By observing the signaling, the relationship between base station cells is dynamically analyzed, and then the signaling is combined with the relationship between base station cells to determine whether the user is mainstream or just passing through.

[0180] 5) Population distribution research

[0181] The scale and structure of population distribution have always been the focus of attention in planning, and are of great significance for optimizing regional spatial layout and adjusting industrial structure. On this basis, utilizing the high timeliness of mobile phone data, we proposed indicators such as population temporal and spatial aggregation and dispersion changes to identify population changes in different time periods and regions, and used data analysis as a quantitative basis to obtain the temporal and spatial characteristics of population distribution.

[0182] The study of scale assessment and spatial distribution involves all levels of scales, including region, city, district, county and street. It can also break the limitations of administrative boundaries and traditional statistical caliber and reflect the true population size and spatial distribution characteristics.

[0183] Structural characteristics - Use attributes such as age and place of origin to divide the population, understand the proportion and static connection of each type of population; use the spatial distribution information of mobile phone recognition to measure the structural characteristics of different types of population, and deeply reflect the real situation of various types of population in the area. For example, in a population study of a certain city, the dynamics of the city's foreign population can be understood through statistics on the place of origin of the number.

[0184] It can also clearly identify the number of non-local users in each district and county and the difference from usual days, providing an important basis for grasping the situation of foreign population and static population migration in planning.

[0185] The population structure of each street can be compared horizontally at the micro level, and the characteristics of various types of population in different areas of the city can be objectively grasped, providing a quantitative basis for population control.

[0186] The hourly population of a specific area is counted by time, location and type, population gathering and dispersion are dynamically monitored, regional peak hours are identified, and a quantitative basis is provided for planning such as facility supply.

[0187] The specific implementation of the system in this embodiment includes the following modules:

[0188] 1. Spatial analysis service module design

[0189] It provides basic spatial analysis functions such as overlay analysis, buffer analysis, proximity analysis, and spatial relationship analysis, providing a basis for business applications such as construction land approval and land supply. It provides a variety of thematic spatial analysis services such as current situation analysis, planning analysis, control area analysis, basic farmland analysis, and post-approval analysis.

[0190] 2. Data browsing service module design

[0191] It supports basic browsing operations of multiple types of data, such as spatial data, image data, and text data, supports the overlay and dynamic display of multiple layers and multiple elements, supports scale control and map style configuration, and supports dynamic projection to achieve fast and seamless browsing of massive spatial data and image data. It provides map browsing customization services and supports custom configuration of map content, map range, map style, etc.

[0192] Based on a variety of maps, including street maps, image maps, topographic maps, etc., it provides various browsing, query, analysis and other functions. Address query, such as catering, accommodation, shopping, tourist attractions, etc.

[0193] 3. Data Sharing Service Module Design

[0194] The system provides sharing and exchange functions, providing users with an "open" resource interaction mode with Web as the core. Sharing and exchange provide functions such as data upload / download, data management, shared resources, and search resources.

[0195] 4. Design of thematic application service modules

[0196] The special application services are aimed at land and resources business, providing planning application services, administrative approval services, resource supervision services, decision-making application services, and resource evaluation application services, providing special application services for the applications of various departments.

[0197] The thematic application service module includes a model editor, which is a visual modeling environment for establishing geographic processing flows and scripts by sequentially linking tools. It provides graphical modeling tools for geographic processing workflows and scripts, and speeds up the process of designing and implementing complex geographic processing models. A model is a data flow diagram that is used to associate data and tools to generate advanced workflows and processes. Users can establish a fixed and orderly processing process for complex GIS tasks by dragging data and tools into the model. The model can be saved, modified, and re-executed. It can be seen that the model editor is very valuable as a mechanism for sharing methods and processes.

[0198] The Model Editor is very flexible. The parameter values ​​of any tool can be shared between processes, so that the shared parameter values ​​in a model only need to be updated once. External applications can also be called through scripts in the Model Editor. The processes in the model can be easily exported into scripts for editing and sharing. The Model Editor can support all data types and tools.

[0199] 5. Planning application service module design

[0200] Based on 5G mobile phone signaling, and using relevant plans such as the main functional area planning, land use master plan, urban and rural master plan, ecological functional zoning, marine functional zoning, grain production functional area, and forest protection and utilization master plan, we will conduct a scientific analysis of the development, utilization, protection, and remediation of land and resources in the region, sort out the problems of land space development and utilization in the region, conduct an analysis of the current status of land and resources, and provide auxiliary analysis and decision-making for the determination of planning goals, the clarification of strategic patterns, and the compilation of plans.

[0201] 1) Basic planning data superposition

[0202] The system provides overlay analysis of various land space data and planning data, realizing basic analysis services for planning compilation.

[0203] Based on the GIS overlay analysis function, users select the base period basic farmland and urban expansion boundary data, set the urban expansion boundary buffer distance as needed, and conduct overlay analysis. Statistics are made on the planning conflict area and number of patches, highlighting the basic farmland patches within the urban expansion boundary, providing planning conflict patch location positioning, judging whether the basic farmland is within or outside the urban expansion boundary, judging whether the urban expansion boundary setting is reasonable, and providing auxiliary decision-making for planning compilation.

[0204] Based on the GIS overlay analysis function, users select ecological protection red line data and urban expansion boundary data, set the urban expansion boundary buffer distance as needed, and conduct overlay analysis. Statistics are made on the planning conflict area and number of patches, highlighting the urban expansion construction map patches within the ecological protection red line, providing planning conflict patch location positioning, judging whether the urban expansion construction land is within or outside the ecological protection red line boundary, providing data support for the adjustment of urban expansion boundaries, and providing auxiliary decision-making for planning compilation.

[0205] 2) Comparative analysis of basic farmland in the base period and the final period

[0206] Provide comparative analysis services for basic farmland in the base period and the final period. By using the basic farmland data in the base period of planning compilation and the basic farmland data in the final period of planning compilation, through comparative analysis functions, analyze whether the planning compilation complies with the basic farmland protection principles and whether the basic farmland data meets the corresponding indicators.

[0207] Based on the GIS overlay analysis function, users select the basic farmland data of the base period of planning compilation and the basic farmland data of the end period of planning compilation, conduct layer overlay analysis, count the reduced basic farmland area and number of patches, highlight the reduced basic farmland patches, and provide the location positioning of the reduced basic farmland patches.

[0208] Based on GIS analysis function, the basic farmland data of the base period of planning compilation and the basic farmland data of the end period of planning compilation are used to conduct layer overlay analysis to analyze the increase and decrease of basic farmland quantity, distribution, etc.

[0209] Based on GIS comparative display technology, users select base period basic farmland data and final period basic farmland data, and select split-screen display and rolling display functions as needed. Users drag the rolling curtain to compare the base period and final period conditions of the same plot, and combine human thinking to understand the current protection pattern and development trend of basic farmland.

[0210] 3) Multi-gauge control line detection

[0211] It provides multi-plan control line detection services. For projects within the scope of urban construction land, it provides conflict detection and reminder functions between the nature of the project land and the nature of existing plots, as well as detection of road red lines on land plots. For land projects in ecologically sensitive areas along mountains, rivers and lakes, it provides project land scope coordinates, inputs the nature of the project land, and overlays the prohibited construction zones, restricted construction zones and "blue lines, green lines, purple lines, yellow lines" and other control line detections designated by the plan.

[0212] Through spatial analysis and inspection, the proposed land use scope occupies various control lines, the nature of the land use, the occupied area, etc., and plays the role of control line management. The system supports the generation of control line detection reports, which plays an auxiliary review role in planning approval.

[0213] Based on GIS technology, users select project land use data and regulatory detailed planning data in urban planning, use the overlay analysis function to count the number and area of ​​patches with land use conflicts, and generate a detection report.

[0214] The system provides a road red line conflict detection function. Users select project plot data and road red line data, and use the overlay analysis function to perform road red line conflict detection.

[0215] Based on GIS technology, the system provides construction project analysis functions in ecologically sensitive areas. Users can select the project land range coordinate data and land use nature data at the same time, and perform multi-layer overlay analysis with multi-plan spatial control areas and control line data such as "blue line, green line, purple line, and yellow line". Count the area and number of spots within the control area and indicator line; generate an analysis report, and combine the analysis report and land use nature to determine whether the project land meets the planning requirements.

[0216] The system provides control area and control line detection functions. Users input project plot data, select the planned spatial control area and control line data such as "blue line, green line, purple line, yellow line", and use the overlay analysis function to detect control areas and control lines. The names and areas of control areas and control lines are counted, and a detection report is generated; the project plot location positioning function is provided to facilitate quick search of plots.

[0217] The system provides the function of generating control line detection reports online. Through spatial analysis and inspection, it analyzes the occupation of various control lines within the proposed land use area and supports the generation of control line detection reports.

[0218] 4) Buffer zone setback analysis

[0219] Provides buffer zone setback analysis services. This function is mainly used for detection reminders of planning site selection analysis and environmental impact assessment space analysis. By providing the coordinates of the project land range, entering the buffer zone setback distance, and superimposing various control lines or environmental indicator lines in the plan, a spatial analysis check is performed to analyze the proposed land use range occupying various control lines or environmental indicator lines around the buffer zone, and play the role of setback control. Supports the generation of setback detection reports, which plays an auxiliary review role in planning approval or environmental impact assessment.

[0220] Based on GIS technology, it provides buffer zone setback analysis services. Users select the proposed land use data and the planning data of various control lines (red line, yellow line, blue line, green line, purple line), set the proposed land use buffer zone setback distance as needed, and use the overlay analysis function to conduct spatial analysis and inspection. Statistics are collected on the names and occupied areas of the control lines, and the plots located within the indicator lines are highlighted, providing the plot location positioning function; an analysis report is generated to analyze and determine the situation of the proposed land use buffer zone occupying the buffer zones around various indicator lines.

[0221] The scope coordinates of a single project are superimposed and analyzed with planning data such as the main functional area planning, land use master plan, urban and rural master plan, ecological functional zoning, marine functional zoning, grain production functional area, and forest protection and utilization master plan to comprehensively determine whether the project land is in compliance with the plan.

[0222] From the perspective of spatial coverage, the differences between different plans (such as urban planning and land use master plan) are compared and analyzed. According to the administrative area set by the user and the plan to be compared and analyzed, the spatial data of the corresponding plan is extracted from the spatial database, and the selected planning layer is superimposed and analyzed to obtain the differences in spatial distribution. The data of each category is counted by the next-level administrative area, and the graphics and attribute information of the analysis results are displayed on the map for users to view and query.

[0223] 6 Steps to implement national land space planning using 5G mobile phone signaling

[0224] The steps to implement national land space planning based on 5G mobile phone signaling are as follows:

[0225] 1) Analyze the population in the city through mobile phone signaling data to obtain the population structure and proportion.

[0226] The actual service population of the streets, the dynamic distribution of the population on weekends, including population work-residence analysis, work-residence commuting analysis, population change analysis, distribution analysis in different time periods, connection characteristics research, space-time characteristics research, special analysis, etc., to assist the city's land space planning.

[0227] 2) Conduct specialized national land space planning analysis by calling spatial analysis, data browsing, thematic applications and planning application services, and finally determine the planning location by combining the results of mobile phone signaling analysis.

[0228] 7 System Verification Process

[0229] Before all data is stored in the database, a comprehensive quality check must be conducted on the collected data, and any errors found must be corrected. Data checking and correction is a crucial step in database construction.

[0230] Step 1: Determine the inspection items according to relevant industry standards, including: vector data geometric accuracy and topology inspection, attribute data integrity and correctness inspection, graphic and attribute data consistency inspection, edge integrity inspection, etc.;

[0231] Step 2: Based on the above inspection items, customize the inspection content and configure the corresponding parameters;

[0232] Step 3: According to the customized content, the system automatically implements batch inspection, and can also use human-computer interaction to inspect key content and correct any errors found in a timely manner;

[0233] Step 4: Generate the inspection report automatically or write it manually, and the inspection and correction work is completed.

[0234] Figure 6 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 6 As shown, the electronic device may include: a processor (processor) 610, a communication interface (Communications Interface) 620, a memory (memory) 630 and a communication bus 640, wherein the processor 610, the communication interface 620, and the memory 630 communicate with each other through the communication bus 640. The processor 610 can call the logic instructions in the memory 630 to execute a national land space planning method based on mobile phone signaling, which method includes: obtaining desensitized mobile phone signaling data based on the communication signaling between the mobile phone user and the base station; the mobile phone signaling data includes the communication location of the mobile phone user and the communication time of the mobile phone user; based on the desensitized mobile phone signaling data, the travel chain and location model of the mobile phone user are extracted; the travel chain refers to a single travel trajectory of the mobile phone user; the location model refers to the location distribution of the mobile phone user at a preset time or a preset time period in the national land space to be planned; for the national land space to be planned, a first planning result is obtained according to the travel chain, the location model and the planning control line data; the first planning result is corrected according to the planning sensitive area data to obtain a national land space planning result; the planning sensitive area data includes farmland areas, ecological sensitive areas, control areas, urban expansion areas and preset buffer conditions.

[0235] In addition, the logic instructions in the above-mentioned memory 630 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0236] On the other hand, the present invention also provides a computer program product, which includes a computer program, which can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the national land space planning method based on mobile phone signaling provided by the above methods, the method including: obtaining desensitized mobile phone signaling data based on the communication signaling between the mobile phone user and the base station; the mobile phone signaling data includes the communication location of the mobile phone user and the communication time of the mobile phone user; extracting the travel chain and location model of the mobile phone user based on the desensitized mobile phone signaling data; the travel chain refers to a single travel trajectory of the mobile phone user; the location model refers to the location distribution of the mobile phone user at a preset time or a preset time period in the national land space to be planned; for the national land space to be planned, a first planning result is obtained according to the travel chain, the location model and the planning control line data; the first planning result is corrected according to the planning sensitive area data to obtain the national land space planning result; the planning sensitive area data includes farmland areas, ecological sensitive areas, control areas, urban expansion areas and preset buffer conditions.

[0237] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the land space planning method based on mobile phone signaling provided by the above-mentioned methods, the method comprising: obtaining desensitized mobile phone signaling data based on the communication signaling between the mobile phone user and the base station; the mobile phone signaling data includes the communication location of the mobile phone user and the communication time of the mobile phone user; extracting the travel chain and location model of the mobile phone user based on the desensitized mobile phone signaling data; the travel chain refers to a single travel trajectory of the mobile phone user; the location model refers to the location distribution of the mobile phone user at a preset time or a preset time period in the land space to be planned; for the land space to be planned, obtaining a first planning result according to the travel chain, the location model and the planning control line data; correcting the first planning result according to the planning sensitive area data to obtain the land space planning result; the planning sensitive area data includes farmland areas, ecological sensitive areas, control areas, urban expansion areas and preset buffer conditions.

[0238] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0239] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0240] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A land space planning method based on mobile phone signaling, characterized in that: include: Obtain desensitized mobile phone signaling data based on the communication signaling between the mobile phone user and the base station; The mobile phone signaling data includes the mobile phone user's communication location and the mobile phone user's communication time; Extracting the travel chain and location model of the mobile phone user based on the desensitized mobile phone signaling data; the travel chain refers to a single travel trajectory of the mobile phone user; the location model refers to the location distribution of the mobile phone user at a preset time or a preset time period in the national land space to be planned; For the land space to be planned, obtaining a first planning result according to the travel chain, the location model and the planning control line data; Correct the first planning result according to the planning sensitive area data to obtain the national land space planning result; The planning sensitive area data includes farmland areas, ecologically sensitive areas, control areas, urban expansion areas and preset buffer conditions; The desensitized mobile phone signaling data includes one-to-one corresponding signaling tracks and mobile phone user structure characteristics; the signaling track is a set of communication signaling between a mobile phone user and a base station, and the communication signaling includes the mobile phone user's communication location and the mobile phone user's communication time; the mobile phone user structure characteristics are the structure information of the mobile phone user to which the signaling track belongs, including the mobile phone user's age and the mobile phone user's place of origin; The step of obtaining a first planning result according to the travel chain, the location model and the planning control line data comprises: Obtaining an age-sensitive spatial planning result according to the age of the mobile phone user, the travel chain, the location model, and the planning control line data; Obtaining a location-sensitive space planning result according to the location of the mobile phone user, the travel chain, the location model, and the planning control line data; A non-sensitive space planning result is obtained according to the travel chain, the location model and the planning control line data; the non-sensitive space refers to the space other than the age-sensitive space and the place-of-origin-sensitive space in the national land space to be planned; The first planning result is determined according to the age-sensitive space planning results, the location-sensitive space planning results and the non-sensitive space planning results.

2. The method for land space planning based on mobile phone signaling according to claim 1 is characterized in that: The step of correcting the first planning result according to the planning sensitive area data to obtain the national land space planning result comprises: The first planning result is corrected according to the basic farmland protection index, the location of the ecologically sensitive area, the location of the control area and the location of the urban expansion area to obtain the second planning result.

3. The method for land space planning based on mobile phone signaling according to claim 2 is characterized in that: After the step of correcting the first planning result according to the basic farmland protection index, the location of the ecologically sensitive area, the location of the control area and the location of the urban expansion area to obtain the second planning result, the method further includes: The second planning result is modified according to a preset buffer condition to obtain a third planning result; in the third planning result, the distance between the adjacent planning area and the planning control line, the farmland area, the ecologically sensitive area and the control area meets the buffer condition; The third planning result that has the largest overlapping area with the original planning of the national land space to be planned is determined as the national land space planning result.

4. The method for land space planning based on mobile phone signaling according to claim 1 is characterized in that: The starting time of the travel chain is the last time of the mobile phone user's stay in the first area; the ending time of the travel chain is the first time of the mobile phone user's stay in the second area starting from the starting time; the stay time is greater than a set first threshold; the areas of the first area and the second area are both less than a set second threshold; The travel chains include similar travel chains and identical travel chains; the similar travel chains refer to at least two travel chains whose matching degree is greater than a set third threshold; the identical travel chains refer to at least two travel chains whose matching degree is greater than a set fourth threshold; The fourth threshold is greater than the third threshold; The step of obtaining a first planning result according to the travel chain, the location model and the planning control line data comprises: After considering the mobile phone users of the same travel chain as the same user and considering the mobile phone users of the similar travel chains as users riding the same means of transportation, the travel chain is parsed to obtain travel chain correction data; A first planning result is obtained according to the travel chain correction data, the position model and the planning control line data.

5. The method for land space planning based on mobile phone signaling according to claim 1 is characterized in that: The location model includes any one or any combination of the following: A first sub-model for obtaining the number of mobile phone users in a communication cell based on a communication base station; A second sub-model of the mobile phone user location point is obtained based on multiple communication cell locations and regional weighted operations of the mobile phone user's communication; A third sub-model of the mobile phone user's residence time is obtained based on multiple signalings of the same mobile phone user in the same communication cell; A fourth sub-model of the communication cells passed by and the communication cells resident by the same mobile phone user is obtained based on multiple signalings of the same mobile phone user.

6. A land space planning system based on mobile phone signaling, characterized in that: include: An acquisition module, used to acquire desensitized mobile phone signaling data based on the communication signaling between the mobile phone user and the base station; The mobile phone signaling data includes the mobile phone user's communication location and the mobile phone user's communication time; An extraction module is used to extract the travel chain and location model of the mobile phone user based on the desensitized mobile phone signaling data; the travel chain refers to a single travel trajectory of the mobile phone user; the location model refers to the location distribution of the mobile phone user at a preset time or a preset time period in the national land space to be planned; A planning module, for obtaining a first planning result for the land space to be planned according to the travel chain, the location model and the planning control line data; A correction module, used to correct the first planning result according to the planning sensitive area data to obtain a national land space planning result; The planning sensitive area data includes farmland areas, ecologically sensitive areas, control areas, urban expansion areas and preset buffer conditions; The desensitized mobile phone signaling data includes one-to-one corresponding signaling tracks and mobile phone user structure characteristics; the signaling track is a set of communication signaling between a mobile phone user and a base station, and the communication signaling includes the mobile phone user's communication location and the mobile phone user's communication time; the mobile phone user structure characteristics are the structure information of the mobile phone user to which the signaling track belongs, including the mobile phone user's age and the mobile phone user's place of origin; The planning module includes: An age unit, used to obtain an age-sensitive spatial planning result according to the age of the mobile phone user, the travel chain, the location model and the planning control line data; A location unit, used to obtain a location-sensitive space planning result according to the location of the mobile phone user, the travel chain, the location model and the planning control line data; A non-sensitive unit is used to obtain a non-sensitive space planning result according to the travel chain, the location model and the planning control line data; the non-sensitive space refers to the space other than the age-sensitive space and the place-of-origin-sensitive space in the national land space to be planned; The result determination unit is used to determine the first planning result according to the age-sensitive space planning result, the location-sensitive space planning result and the non-sensitive space planning result.

7. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the steps of the land space planning method based on mobile phone signaling as described in any one of claims 1 to 5 are implemented.

8. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the land space planning method based on mobile phone signaling as described in any one of claims 1 to 5 are implemented.

9. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the land space planning method based on mobile phone signaling as described in any one of claims 1 to 5 are implemented.

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