CN115052323A - Smart city mobile service system based on big data - Google Patents
Smart city mobile service system based on big data Download PDFInfo
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Abstract
The invention discloses a smart city mobile service system based on big data, belonging to the field of smart cities, and used for solving the problem that a local area network of a public place cannot meet the use requirements of personnel, comprising a requirement analysis module, a service distribution module, a service exchange module and a service analysis module, wherein the service analysis module is used for analyzing mobile service networks of different service providers covered by a place area to obtain the network smoothness grade of the mobile service network, the service exchange module is used for exchanging the mobile service network in the place area, the requirement analysis module is used for analyzing the use requirements of the mobile service network of a user terminal in the place area to obtain the network use grade of the user terminal, the service distribution module is used for distributing the network service of the user terminal in the place area, and the invention can be based on the network use requirements and the network flow requirements of the user, and setting the mobile network service with the matched quality for the user.
Description
Technical Field
The invention belongs to the field of smart cities, relates to a mobile service technology, and particularly relates to a smart city mobile service system based on big data.
Background
The smart city utilizes various information technologies or innovative concepts to communicate and integrate the system and service of the city, so as to improve the efficiency of resource application, optimize city management and service, and improve the quality of life of citizens. The smart city is a city informatization advanced form which fully applies a new generation of information technology to various industries in the city and is based on the innovation of the next generation of knowledge society, realizes the deep integration of informatization, industrialization and urbanization, is beneficial to relieving the large urban diseases, improves the urbanization quality, realizes the fine and dynamic management, improves the urban management effect and improves the quality of life of citizens.
In large-scale public places such as super-business and the like, due to the fact that a local area network in the public places is large in number of users and wide in area coverage, the local area network in the public places is difficult to meet the use requirements of all the people, and therefore the smart city mobile service system based on big data is provided.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a smart city mobile service system based on big data.
The technical problem to be solved by the invention is as follows:
how to set the matching urban mobile service based on the user's usage requirements.
The purpose of the invention can be realized by the following technical scheme:
a smart city mobile service system based on big data comprises a data acquisition module, a demand analysis module, a service distribution module, a user terminal, a management terminal, a service exchange module, a service analysis module and a server, wherein the management terminal is used for setting mobile service networks of different service providers in a site area, and the user terminal is used for connecting the mobile service networks of different service providers in the area site after authorized and agreed by a user;
the data acquisition module is used for acquiring real-time network data of mobile service networks of different service providers in a site area and terminal network data of different user terminals in the site area and sending the real-time network data and the terminal network data to the server, and the server sends the real-time network data to the service analysis module and the terminal network data to the demand analysis module;
the service analysis module is used for analyzing mobile service networks of different service providers covered by the site area to obtain network smoothness grades of the mobile service networks and feeding the network smoothness grades back to the server, the server sends the network smoothness grades of the mobile service networks to the service exchange module, and the service exchange module is used for exchanging the mobile service networks in the site area;
the demand analysis module is used for analyzing the mobile service network use demand of the user terminal in the site area, analyzing the network use level of the user terminal and feeding the network use level back to the server, and the server sends the network use level of the user terminal to the service distribution module;
the service distribution module is used for distributing the network service of the user terminal in the site area.
Further, the real-time network data are the terminal connection number, the card pause times, the real-time uploading network speed value and the real-time downloading network speed value of different service provider mobile service networks in the site area in unit time;
the terminal network data are the network connection starting time of different user terminals, and the terminal uploading network speed value and the terminal downloading network speed value after the user terminals are connected with the mobile service network.
Further, the analysis process of the service analysis module is specifically as follows:
step S1: setting a service analysis time interval of the mobile service network in the place area, and marking the mobile service network in the place area as u, u =1, 2, … …, z, z is a positive integer;
step S2: acquiring the number of user terminals connected by a mobile service network in a place area in a service analysis period, and marking the number of the user terminals as terminal connection number ZLu;
step S3: acquiring the number of times of blocking and pausing of a user terminal connected with a mobile service network in a place area within a service analysis time period to obtain the number of times of blocking and pausing KCu of the mobile service network in the place area within the service analysis time period;
step S4: setting a plurality of time points in a service analysis period, and acquiring real-time uploading network speed values and real-time downloading network speed values of a mobile service network in a place area at the time of the plurality of time points;
step S5: acquiring an uploading network speed standard interval and a downloading network speed standard interval stored in a server, recording a time point when a real-time uploading network speed value is not in the uploading network speed standard interval as an uploading network speed abnormal point, and recording a time point when a real-time downloading network speed value is not in the downloading network speed standard interval as a downloading network speed abnormal point;
step S6: counting the number of uploading network speed abnormal points and comparing the number with the total number of the time points to obtain an uploading network speed abnormal rate SYLu;
counting the number of uploading network speed abnormal points and comparing the number with the total number of the time points to obtain a downloading network speed abnormal rate XYLu;
step S7: by the formula
Calculating to obtain a network service value WFu of the mobile service network in the place area; in the formula, a1, a2 and a3 are all proportionality coefficients with fixed numerical values, and the values of a1, a2 and a3 are all larger than zero;
step S8: if WFu is less than X1, the network fluency level of the mobile service network is a third network fluency level;
if the X1 is not less than WFu and is less than X2, the network fluency level of the mobile service network is a second network fluency level;
if the X2 is less than or equal to WFu, the network fluency level of the mobile service network is a first network fluency level; wherein, X1 and X2 are both network service thresholds with fixed values, and X1 < X2.
Further, the working process of the service exchanging module is as follows:
if the network smoothness level is the first network smoothness level, generating a network high-quality signal;
if the network smoothness level is the second network smoothness level, generating a network normal signal;
and if the network flow grade is the third network flow grade, generating a network abnormal signal.
Further, the service exchange module feeds back a network quality signal, a network normal signal or a network abnormal signal to the server;
if the server receives the network high-quality signal or the network normal signal, no operation is performed;
and if the server receives the network abnormal signal, generating a network maintenance signal and sending the network maintenance signal to the management terminal, wherein a manager at the management terminal is used for overhauling the mobile service network in the place area.
Further, the analysis process of the demand analysis module is specifically as follows:
step P1: marking the user terminal as i, i =1, 2, … …, x, x is a positive integer; obtaining the network connection starting time of the user terminal after the authorization of the user, and subtracting the network connection starting time from the current time of the server to obtain the network connection duration LTi of the user terminal;
step P2: setting a plurality of monitoring time points in the network connection time length, and acquiring a terminal uploading network speed value and a terminal downloading network speed value of a user terminal at the monitoring time points;
step P3: adding the network speed values uploaded by the terminals of the user terminal at each monitoring time point, and taking the average value to obtain a terminal uploading network speed average value JSwi of the user terminal in the network connection duration;
adding the terminal downloading network speed values of the user terminal at each monitoring time point, summing and averaging to obtain a terminal downloading network speed average value JXwi of the user terminal in the network connection duration;
step P4: calculating a network traffic use value WLi of the user terminal in the network connection time length through a formula WLi = (JSwxb 1+ JXWixb 2)/LTi; in the formula, b1 and b2 are both weight coefficients with fixed values, and the values of b1 and b2 are both larger than zero;
step P5: if WLi is more than or equal to Y1, the network use level of the user terminal is a first network use level;
if Y1 is greater than WLi, the network usage level of the user terminal is a second network usage level; y1 is a network traffic usage threshold with a fixed value.
Further, the allocation process of the service allocation module specifically includes:
if the network use level of the user terminal is a first network use level, the corresponding network fluency level of the user terminal is a first network fluency level;
if the network use level of the user terminal is a second network use level, the corresponding network fluency level of the user terminal is the second network fluency level;
and if the current network smoothness grade of the user terminal is the same grade as the corresponding network smoothness grade, switching the mobile service network of the user terminal to accord with the corresponding network smoothness grade.
Compared with the prior art, the invention has the beneficial effects that:
the mobile service network of different service providers covered by a site area is analyzed through a service analysis module to obtain the network smoothness grade of the mobile service network, an abnormal mobile service network in the site area is exchanged through a service exchange module, meanwhile, the mobile service network use requirement of a user terminal in the site area is analyzed through a requirement analysis module to obtain the network use grade of the user terminal, a service distribution module distributes the network service of the user terminal in the site area through the network smoothness grade and the network use grade, and the mobile service network of the user terminal is switched to accord with the corresponding network smoothness grade.
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In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is an overall system block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In an embodiment, please refer to fig. 1, which provides a smart city mobile service system based on big data, wherein the smart city mobile service system is used in places such as shopping malls and large supermarkets, and includes a data acquisition module, a demand analysis module, a service distribution module, a user terminal, a management terminal, a service exchange module, a service analysis module, and a server;
the management terminal is used for registering a login system after a manager of a site area inputs area information, and sending the area information to a server for storage; the user terminal is used for registering and logging in the system after a user inputs personal information and sending the personal information to the server for storage;
wherein, the regional information comprises the address, name, business license, etc. of the regional place; the personal information comprises personal names of users, mobile phone numbers of real-name authentication and the like;
in this embodiment, the management terminal is configured to set mobile service networks of different service providers in a site area, and the user terminal is configured to connect the mobile service networks of different service providers in a site area after authorization and approval of a user;
the data acquisition module is used for acquiring real-time network data of mobile service networks of different service providers in a site area, acquiring terminal network data of different user terminals in the site area after authorization of a user and sending the terminal network data to the server, the server sends the real-time network data to the service analysis module, and the server sends the terminal network data to the demand analysis module;
specifically, the real-time network data are the terminal connection number, the card pause times, the real-time uploading network speed value, the real-time downloading network speed value and the like in unit time of mobile service networks of different service providers in a site area; the terminal network data are the network connection starting time of different user terminals, and the terminal uploading network speed value and the terminal downloading network speed value after the user terminals are connected with the mobile service network;
the service analysis module is used for analyzing mobile service networks of different service providers covered by the place area, and the analysis process is as follows:
step S1: setting a service analysis time interval of the mobile service network in the place area, and marking the mobile service network in the place area as u, u =1, 2, … …, z, z is a positive integer;
step S2: acquiring the number of user terminals connected by a mobile service network in a place area in a service analysis period, and marking the number of the user terminals as terminal connection number ZLu;
step S3: acquiring the number of times of blocking and pausing of a user terminal connected with a mobile service network in a place area within a service analysis time period to obtain the number of times of blocking and pausing KCu of the mobile service network in the place area within the service analysis time period;
step S4: setting a plurality of time points in a service analysis period, and acquiring real-time uploading network speed values and real-time downloading network speed values of a mobile service network in a place area at the time of the plurality of time points;
step S5: acquiring an uploading network speed standard interval and a downloading network speed standard interval stored in a server, recording a time point when a real-time uploading network speed value is not in the uploading network speed standard interval as an uploading network speed abnormal point, and recording a time point when a real-time downloading network speed value is not in the downloading network speed standard interval as a downloading network speed abnormal point;
step S6: counting the number of uploading network speed abnormal points and comparing the number with the total number of the time points to obtain an uploading network speed abnormal rate SYLu;
counting the number of uploading network speed abnormal points and comparing the number with the total number of the time points to obtain a downloading network speed abnormal rate XYLu;
step S7: by the formula
Calculating to obtain a network service value WFu of the mobile service network in the place area; in the formula, a1, a2 and a3 are all proportionality coefficients with fixed numerical values, and the values of a1, a2 and a3 are all larger than zero;
step S8: if WFu is less than X1, the network fluency level of the mobile service network is a third network fluency level;
if the X1 is not less than WFu and is less than X2, the network fluency level of the mobile service network is a second network fluency level;
if the X2 is less than or equal to WFu, the network fluency level of the mobile service network is a first network fluency level; wherein, X1 and X2 are both network service thresholds with fixed values, and X1 is less than X2;
the service analysis module feeds back the network smoothness grade of the mobile service network to the server, the server sends the network smoothness grade of the mobile service network to the service exchange module, and the service exchange module is used for exchanging the mobile service network in the place area and specifically comprises the following steps:
if the network smoothness level is the first network smoothness level, generating a network high-quality signal;
if the network smoothness level is the second network smoothness level, generating a network normal signal;
if the network smoothness level is the third network smoothness level, generating a network abnormal signal;
the service exchange module feeds back a network high-quality signal, a network normal signal or a network abnormal signal to the server, if the server receives the network high-quality signal or the network normal signal, no operation is performed, if the server receives the network abnormal signal, a network maintenance signal is generated and sent to the management terminal, and a manager at the management terminal is used for overhauling the mobile service network in the site area;
the requirement analysis module is used for analyzing the mobile service network use requirement of the user terminal in the site area, and the analysis process specifically comprises the following steps:
step P1: marking the user terminal as i, i =1, 2, … …, x, x being a positive integer; obtaining the network connection starting time of the user terminal after the authorization of the user, and subtracting the network connection starting time from the current time of the server to obtain the network connection duration LTi of the user terminal;
step P2: setting a plurality of monitoring time points in the network connection time length, and acquiring a terminal uploading network speed value and a terminal downloading network speed value of a user terminal at the monitoring time points;
step P3: adding the network speed values uploaded by the terminals of the user terminal at each monitoring time point, and taking the average value to obtain a terminal uploading network speed average value JSwi of the user terminal in the network connection duration;
adding the terminal downloading network speed values of the user terminal at each monitoring time point, summing and averaging to obtain a terminal downloading network speed average value JXwi of the user terminal in the network connection duration;
step P4: calculating a network traffic use value WLi of the user terminal in the network connection time length through a formula WLi = (JSwxb 1+ JXWixb 2)/LTi; in the formula, b1 and b2 are both weight coefficients with fixed values, and the values of b1 and b2 are both larger than zero;
step P5: if WLi is more than or equal to Y1, the network use level of the user terminal is a first network use level;
if Y1 is larger than WLi, the network usage level of the user terminal is a second network usage level; wherein Y1 is a network traffic use value threshold value with a fixed numerical value;
the demand analysis module feeds back the network use level of the user terminal to the server, and the server sends the network use level of the user terminal to the service distribution module;
the service distribution module is used for distributing the network service of the user terminal in the site area, and the distribution process is as follows:
if the network use level of the user terminal is a first network use level, the corresponding network fluency level of the user terminal is a first network fluency level;
if the network use level of the user terminal is a second network use level, the corresponding network fluency level of the user terminal is the second network fluency level;
and if the current network smoothness grade of the user terminal is the same grade as the corresponding network smoothness grade, switching the mobile service network of the user terminal to accord with the corresponding network smoothness grade.
In another embodiment, a working method of a smart city mobile service system based on big data is provided, which specifically comprises the following steps:
step S101, a management terminal sets mobile service networks of different service providers in a site area, a user terminal is connected with the mobile service networks of the different service providers in the area site after authorization approval of a user, and a data acquisition module acquires real-time network data of the mobile service networks of the different service providers in the site area and terminal network data of the different user terminals in the site area after authorization of the user;
step S102, analyzing the mobile service networks of different service providers covered by the site area through the service analysis module, setting the service analysis time period of the mobile service network in the site area, marking the mobile service network in the site area as u, then acquiring the number of the user terminals connected by the mobile service network in the site area in the service analysis time period, marking the number of the user terminals as terminal connection number as ZLu, finally acquiring the blocking times of the user terminals connected by the mobile service network in the site area in the service analysis time period, obtaining the blocking times KCu of the mobile service network in the site area in the service analysis time period, setting a plurality of time points in the service analysis time period, acquiring real-time uploading network speed values and real-time downloading network speed values of the mobile service network in the site area at a plurality of time points, and then acquiring uploading network speed standard interval and downloading network speed standard interval stored in the server, recording the time point when the real-time uploading network speed value is not in the uploading network speed standard interval as an uploading network speed abnormal point, recording the time point when the real-time downloading network speed value is not in the downloading network speed standard interval as a downloading network speed abnormal point, counting the number of the uploading network speed abnormal points and comparing the number with the total number of the time points to obtain an uploading network speed abnormal rate SYLu, counting the number of the uploading network speed abnormal points and comparing the number with the total number of the time pointsComparing the total quantity of the time points to obtain the download network speed abnormal rate XYLu through a formula
Calculating to obtain a network service value WFu of the mobile service network in the site area, if WFu is less than X1, the network smoothness grade of the mobile service network is a third network smoothness grade, if X1 is less than or equal to WFu and less than X2, the network smoothness grade of the mobile service network is a second network smoothness grade, if X2 is less than or equal to WFu, the network smoothness grade of the mobile service network is a first network smoothness grade, the service analysis module feeds the network smoothness grade of the mobile service network back to the server, and the server sends the network smoothness grade of the mobile service network to the service exchange module;
step S103, a service exchange module exchanges the mobile service network in the place area, if the mobile service network is in a first network smooth grade, a network high-quality signal is generated, if the mobile service network is in a second network smooth grade, a network normal signal is generated, if the mobile service network is in a third network smooth grade, a network abnormal signal is generated, the service exchange module feeds the network high-quality signal, the network normal signal or the network abnormal signal back to the server, if the server receives the network high-quality signal or the network normal signal, no operation is performed, if the server receives the network abnormal signal, a network maintenance signal is generated and sent to the management terminal, and a manager at the management terminal is used for overhauling the mobile service network in the place area;
step S104, analyzing the mobile service network use requirement of the user terminal in the site area through a requirement analysis module, marking the user terminal as i, obtaining the network connection starting time of the user terminal after the authorization of the user, subtracting the network connection starting time from the current time of the server to obtain the network connection time LTi of the user terminal, setting a plurality of monitoring time points in the network connection time, obtaining the terminal uploading network speed value and the terminal downloading network speed value of the user terminal at the monitoring time points, adding and averaging the terminal uploading network speed values of the user terminal at each monitoring time point to obtain the terminal uploading network speed average value JSwi of the user terminal in the network connection time, adding and averaging the terminal downloading network speed values of the user terminal at each monitoring time point to obtain the terminal downloading network speed average value JXwi of the user terminal in the network connection time, calculating a network flow use value WLi of the user terminal in the network connection duration through a formula WLi = (JSwxb 1+ JXWixb 2)/LTi, wherein if the WLi is not less than Y1, the network use level of the user terminal is a first network use level, if the Y1 is more than the WLi, the network use level of the user terminal is a second network use level, the requirement analysis module feeds the network use level of the user terminal back to the server, and the server sends the network use level of the user terminal to the service distribution module;
step S105, a service distribution module distributes network services of a user terminal in a site area, if the network use level of the user terminal is a first network use level, the corresponding network fluency level of the user terminal is the first network fluency level, if the network use level of the user terminal is a second network use level, the corresponding network fluency level of the user terminal is the second network fluency level, the current network fluency level of the user terminal is obtained, if the current network fluency level of the user terminal is the same level as the corresponding network fluency level, no operation is carried out, and if the current network fluency level of the user terminal is the same level as the corresponding network fluency level, the mobile service network of the user terminal is switched to accord with the corresponding network fluency level.
The above formulas are all calculated by taking the numerical value of the dimension, the formula is a formula of the latest real situation obtained by collecting a large amount of data and performing software simulation, the preset parameters in the formula are set by the technical personnel in the field according to the actual situation, the weight coefficient and the scale coefficient are specific numerical values obtained by quantizing each parameter, and the subsequent comparison is convenient.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (7)
1. A smart city mobile service system based on big data is characterized by comprising a data acquisition module, a demand analysis module, a service distribution module, a user terminal, a management terminal, a service exchange module, a service analysis module and a server, wherein the management terminal is used for setting mobile service networks of different service providers in a site area, and the user terminal is used for connecting the mobile service networks of the different service providers in the area site after authorization and approval of users;
the data acquisition module is used for acquiring real-time network data of mobile service networks of different service providers in a site area and terminal network data of different user terminals in the site area and sending the real-time network data and the terminal network data to the server, and the server sends the real-time network data to the service analysis module and the terminal network data to the demand analysis module;
the service analysis module is used for analyzing mobile service networks of different service providers covered by the site area to obtain network smoothness grades of the mobile service networks and feeding the network smoothness grades back to the server, the server sends the network smoothness grades of the mobile service networks to the service exchange module, and the service exchange module is used for exchanging the mobile service networks in the site area;
the demand analysis module is used for analyzing the mobile service network use demand of the user terminal in the site area, analyzing the network use level of the user terminal and feeding the network use level back to the server, and the server sends the network use level of the user terminal to the service distribution module;
the service distribution module is used for distributing the network service of the user terminal in the site area.
2. The smart city mobile service system based on big data as claimed in claim 1, wherein the real-time network data is the number of terminal connections, the number of times of hitches, the real-time upload network speed value, the real-time download network speed value per unit time of the mobile service networks of different service providers in a site area;
the terminal network data is the network connection starting time of different user terminals, and the terminal uploading network speed value and the terminal downloading network speed value after the user terminal is connected with the mobile service network.
3. The smart city mobile service system based on big data as claimed in claim 1, wherein the analysis process of the service analysis module is as follows:
step S1: setting a service analysis time interval of the mobile service network in the place area, and marking the mobile service network in the place area as u, u =1, 2, … …, z, z is a positive integer;
step S2: acquiring the number of user terminals connected by a mobile service network in a place area in a service analysis period, and marking the number of the user terminals as terminal connection number ZLu;
step S3: acquiring the number of times of blocking and pausing of a user terminal connected with a mobile service network in a place area within a service analysis time period to obtain the number of times of blocking and pausing KCu of the mobile service network in the place area within the service analysis time period;
step S4: setting a plurality of time points in a service analysis period, and acquiring real-time uploading network speed values and real-time downloading network speed values of a mobile service network in a place area at the time of the plurality of time points;
step S5: acquiring an uploading network speed standard interval and a downloading network speed standard interval stored in a server, recording a time point when a real-time uploading network speed value is not in the uploading network speed standard interval as an uploading network speed abnormal point, and recording a time point when a real-time downloading network speed value is not in the downloading network speed standard interval as a downloading network speed abnormal point;
step S6: counting the number of uploading network speed abnormal points and comparing the number with the total number of the time points to obtain an uploading network speed abnormal rate SYLu;
counting the number of uploading network speed abnormal points and comparing the number with the total number of the time points to obtain a downloading network speed abnormal rate XYLu;
step S7: by the formula
Calculating to obtain a network service value WFu of the mobile service network in the place area; in the formula, a1, a2 and a3 are all proportionality coefficients with fixed numerical values, and the values of a1, a2 and a3 are all larger than zero;
step S8: if WFu is less than X1, the network fluency level of the mobile service network is a third network fluency level;
if the X1 is not less than WFu and is less than X2, the network fluency level of the mobile service network is a second network fluency level;
if the X2 is less than or equal to WFu, the network fluency level of the mobile service network is a first network fluency level; wherein, X1 and X2 are both network service thresholds with fixed values, and X1 < X2.
4. The smart city mobile service system based on big data as claimed in claim 3, wherein the working process of the service exchanging module is as follows:
if the network smoothness level is the first network smoothness level, generating a network high-quality signal;
if the network smoothness level is the second network smoothness level, generating a network normal signal;
and if the network flow grade is the third network flow grade, generating a network abnormal signal.
5. The smart city mobile service system based on big data as claimed in claim 3, wherein the service exchange module feeds back a network quality signal, a network normal signal or a network abnormal signal to the server;
if the server receives the network high-quality signal or the network normal signal, no operation is performed;
and if the server receives the network abnormal signal, generating a network maintenance signal and sending the network maintenance signal to the management terminal, wherein a manager at the management terminal is used for overhauling the mobile service network in the place area.
6. The smart city mobile service system based on big data as claimed in claim 1, wherein the analysis process of the demand analysis module is as follows:
step P1: marking the user terminal as i, i =1, 2, … …, x, x is a positive integer; obtaining the network connection starting time of the user terminal after the authorization of the user, and subtracting the network connection starting time from the current time of the server to obtain the network connection duration LTi of the user terminal;
step P2: setting a plurality of monitoring time points in the network connection time length, and acquiring a terminal uploading network speed value and a terminal downloading network speed value of a user terminal at the monitoring time points;
step P3: adding the network speed values uploaded by the terminals of the user terminal at each monitoring time point, and taking the average value to obtain a terminal uploading network speed average value JSwi of the user terminal in the network connection duration;
adding the terminal downloading network speed values of the user terminal at each monitoring time point, summing and averaging to obtain a terminal downloading network speed average value JXwi of the user terminal in the network connection duration;
step P4: calculating a network traffic usage value WLi of the user terminal in the network connection duration through a formula WLi = (JSwi x b1+ JXwi x b 2)/LTi; in the formula, b1 and b2 are both weight coefficients with fixed values, and the values of b1 and b2 are both larger than zero;
step P5: if WLi is more than or equal to Y1, the network use level of the user terminal is a first network use level;
if Y1 is greater than WLi, the network usage level of the user terminal is a second network usage level; y1 is a network traffic usage threshold with a fixed value.
7. The smart city mobile service system based on big data as claimed in claim 6, wherein the service distribution module is configured to perform the following distribution process:
if the network use level of the user terminal is a first network use level, the corresponding network fluency level of the user terminal is a first network fluency level;
if the network use level of the user terminal is a second network use level, the corresponding network fluency level of the user terminal is the second network fluency level;
and if the current network smoothness level of the user terminal is the same as the corresponding network smoothness level, switching the mobile service network of the user terminal to accord with the corresponding network smoothness level.
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