CN113115414B - Optimal network selection method and system based on intelligent terminal - Google Patents
Optimal network selection method and system based on intelligent terminal Download PDFInfo
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Abstract
The invention discloses an optimal network selection method and system based on an intelligent terminal, belongs to the field of communication networks, relates to an optimal network selection method and system technology, is used for solving the problem that the blind network access selection method greatly reduces the user network experience, and obtains the analysis area of the intelligent terminal by obtaining the geographical position of the intelligent terminal and analyzing; acquiring all signal base stations in an analysis area, carrying out communication interference simulation, and acquiring an interference simulation value of the signal base stations; selecting a signal base station with the minimum interference simulation value as a first cis-position base station; the intelligent terminal and the first cis-position base station are connected in a data link mode, so that a user does not have blind network access, and the problem of poor network experience of the user is solved; the user area selecting method and the device enable the user area selecting to be more accurate, and simultaneously avoid the phenomenon that the load of the base station is too large due to the fact that multiple people share the same base station, and the using effect is reduced.
Description
Technical Field
The invention belongs to the field of communication networks, relates to an optimal network selection method and system technology, and particularly relates to an optimal network selection method and system based on an intelligent terminal.
Background
With the vigorous development of the communication field, the communication life becomes richer and richer, and smooth communication at any time and any place can be basically realized. 3G has been widely deployed, essentially covering most of the urban and rural areas. The TD-LTE mobile in China will start commercial trial, while Wifi is a must-be-disputed place for each large communication operator, and a large number of access points are basically deployed in hot spots of various cities in China, so that high-speed and rapid network service is provided for users. The development of mobile terminal technology is rapidly developing simultaneously with communication network technology, with the continuous development of mobile operating systems, Windows Phone7 of microsoft corporation, iOS of apple corporation and android developed by google corporation have been widely used in mobile terminals, the intellectualization of mobile terminals enables mobile phones not to be just a tool for conversation, but to become a multimedia tool which can be rivaling personal computers in function, and can look up e-mails anytime and anywhere, use electronic maps to perform rapid web browsing, share life drops around, enjoy wonderful network music and videos, and even play real-time online network games. However, whether a user can obtain the best experience of the network traffic service depends on many factors. In general, this can be roughly summarized into three aspects: network charge, network response time and mobile terminal power duration. As is known, the network connection behavior is a part of the maximum power consumption of the mobile terminal, and the mobile terminal periodically scans available signals of a cellular base station or a Wifi access point, then selects a cell or a Wifi access point with the strongest signal to access, and selects which network to access, so that the power consumption speeds of the mobile terminal are completely different. The network access selection method not only does not fully consider the electric quantity condition of the current user, but also does not fully solve the ping-pong switching problem, and further does not fully consider the network service performed by the current user. Therefore, the blind network access selection method greatly reduces the user network experience.
Disclosure of Invention
The invention aims to provide an optimal network selection method and system based on an intelligent terminal, which are used for solving the problem that the blind network access selection method greatly reduces the user network experience.
The purpose of the invention can be realized by the following technical scheme:
an optimal network selection method based on an intelligent terminal comprises the following steps:
the method comprises the following steps: acquiring the geographical position of the intelligent terminal, analyzing and acquiring an analysis area of the intelligent terminal;
step two: acquiring all signal base stations in an analysis area, carrying out communication interference simulation, and acquiring an interference simulation value of the signal base stations;
step three: selecting a signal base station with the minimum interference simulation value as a first cis-position base station;
step four: and establishing data link between the intelligent terminal and the first cis-position base station.
Further, the geographical position of the intelligent terminal is obtained and analyzed, and the analysis area of the intelligent terminal is obtained, specifically, the position coordinate of the intelligent terminal is obtained through a GPRS or/and a GPS in the intelligent terminal;
establishing a rectangular coordinate system of a region plane through CAD software, and selecting a position coordinate of the intelligent terminal as an origin of the rectangular coordinate system of the region plane;
acquiring a position type of a position coordinate of the intelligent terminal and a region threshold corresponding to the position type;
selecting (region threshold value, 0), (-region threshold value, 0), (0, region threshold value), (0, -region threshold value) as a preselected region selection point by taking the origin of the rectangular coordinate system along the region plane as a starting point;
selecting (region threshold, 0) and (region threshold, 0) to respectively make a first ray parallel to the Y axis;
selecting (0, area threshold) and (0-area threshold) to respectively make a second ray parallel to the X axis;
acquiring four intersection points of the first ray and the second ray as preset area points;
sequentially connecting four preset area points, wherein the enclosed area is a preset analysis area;
and obtaining the number of signal base stations in a preset analysis area, and when the number of the signal base stations in the preset analysis area is larger than a signal base station threshold value corresponding to the position type, performing signal thermodynamic diagram screening and obtaining the analysis area of the intelligent terminal.
Further, when the number of signal base stations in the preset analysis area is less than the signal base station threshold corresponding to the position type, the preset analysis area is supplemented, specifically,
acquiring a supplementary preselected area selection point by (α × area threshold, 0), (0, α × area threshold);
wherein, alpha is a supplementary coefficient corresponding to the position type of the position coordinate of the intelligent terminal;
selecting (alpha x regional threshold, 0), (alpha x-regional threshold, 0) to respectively make a supplementary first ray parallel to the Y axis;
selecting (0, alpha X area threshold), (0, alpha X-area threshold) to respectively make a supplementary second ray parallel to the X axis;
acquiring four intersection points of the supplementary first ray and the supplementary second ray as supplementary preset region points;
sequentially connecting four supplementary preset area points, wherein the enclosed area is a supplementary preset analysis area;
and when the number of the signal base stations in the preset analysis area is smaller than the signal base station threshold corresponding to the position type, supplementing the preset analysis area until the number of the signal base stations in the supplemented preset analysis area is larger than the signal base station threshold corresponding to the position type, completing the supplementation, performing signal thermodynamic diagram screening on the supplemented preset analysis area, and acquiring the analysis area of the intelligent terminal.
Further, the signal thermodynamic diagram is screened and the analysis area of the intelligent terminal is obtained, specifically,
dividing the preset analytic region or the supplementary preset analytic region into a first thermodynamic region, a second thermodynamic region, a third thermodynamic region and a fourth thermodynamic region according to a region plane rectangular coordinate system;
respectively acquiring the signal connection quantity in a thermal first area, a thermal second area, a thermal third area and a thermal fourth area;
when the signal connection number exceeds the connection number threshold value corresponding to the position type, obtaining an adjustment value by multiplying the signal connection number by an adjustment coefficient;
connecting the origin of the rectangular coordinate system of the area plane with four supplementary preselected area selection points or four preselected area selection points to obtain an adjusting connecting line;
selecting a section of the adjusting connecting line close to the four supplementary preselected area selection points or the four preselected area selection points as an initial end, and taking an adjusting value as a unit to obtain a thermal area selection point;
and sequentially connecting the thermal area selection points, wherein the enclosed area is the analysis area of the intelligent terminal.
Further, the acquiring all signal base stations in the analysis area, performing communication interference simulation, and acquiring an interference simulation value of the signal base stations, specifically,
acquiring all signal base stations in an analysis area of the intelligent terminal, and acquiring a data connection mode of the intelligent terminal;
and carrying out simulation test on all signal base stations in the analysis area through a simulation interaction model, and obtaining an interference simulation value.
Further, the simulation interaction model comprises an acquisition layer, a matching layer, a simulation layer, a transmission layer and an output layer;
the acquisition layer is used for acquiring hardware data of the intelligent terminal;
the matching layer is used for interacting with the intelligent terminal and recording the data connection mode of the intelligent terminal;
the simulation layer is used for reading hardware data and a data connection mode of the intelligent terminal and establishing a virtual machine;
the transmission layer is used for connecting the virtual machine with the signal base station and carrying out interaction;
the output layer is used for recording interactive delay data, stable data and lost data, and obtaining an interference simulation value through the product of the delay data, the stable data and the lost data.
Further, the delay data is specifically a sum of a time difference between data sent by the virtual machine and data received by the signal base station and a time difference between data sent by the signal base station and data received by the virtual machine.
Further, the stable data is specifically the total time length of disconnection between the virtual machine and the signal base station or/and between the virtual machine and the signal base station under the condition of normal connection between the virtual machine and the signal base station.
Further, the lost data is specifically an accumulated value of a difference between a byte number of data sent by the virtual machine and a byte number of data received by the signal base station and a difference between a byte number of data sent by the signal base station and a byte number of data received by the virtual machine.
An optimal network selection system based on an intelligent terminal comprises a position module, an area selection module, a simulation module and a connection module;
the position module is set to acquire coordinate information of the intelligent terminal and the signal base station;
the area selection module is set to draw an analysis area of the intelligent terminal;
the simulation module is set to perform simulation connection on the signal base stations in the analysis area;
the connection module is set to establish data link between the intelligent terminal and the signal base station.
Compared with the prior art, the invention has the beneficial effects that:
(1) acquiring a geographical position of the intelligent terminal, and analyzing to acquire an analysis area of the intelligent terminal; acquiring all signal base stations in an analysis area, carrying out communication interference simulation, and acquiring an interference simulation value of the signal base stations; selecting a signal base station with the minimum interference simulation value as a first cis-position base station; the intelligent terminal and the first cis-position base station are connected in a data link mode, so that a user does not have blind network access, and the problem of poor network experience of the user is solved;
(2) establishing a rectangular coordinate system of a region plane through CAD software, and selecting a position coordinate of the intelligent terminal as an origin of the rectangular coordinate system of the region plane; acquiring a position type of a position coordinate of the intelligent terminal and a region threshold corresponding to the position type; selecting (region threshold value, 0), (-region threshold value, 0), (0, region threshold value), (0, -region threshold value) as a preselected region selection point by taking the origin of the rectangular coordinate system along the region plane as a starting point; selecting (region threshold, 0) and (region threshold, 0) to respectively make a first ray parallel to the Y axis; selecting (0, area threshold) and (0-area threshold) to respectively make a second ray parallel to the X axis; acquiring four intersection points of the first ray and the second ray as preset area points; sequentially connecting four preset area points, wherein the enclosed area is a preset analysis area; the method comprises the steps of obtaining the number of signal base stations in a preset analysis area, and when the number of the signal base stations in the preset analysis area is larger than a signal base station threshold value corresponding to a position type, carrying out signal thermodynamic diagram screening and obtaining the analysis area of an intelligent terminal, so that the selection of a user use area is more accurate, and simultaneously, the phenomenon that a plurality of people share the same base station and the load of the base station is too large, and the use effect is reduced;
(3) dividing the preset analytic region or the supplementary preset analytic region into a first thermodynamic region, a second thermodynamic region, a third thermodynamic region and a fourth thermodynamic region according to a region plane rectangular coordinate system;
respectively acquiring the signal connection quantity in a thermal first area, a thermal second area, a thermal third area and a thermal fourth area; when the signal connection number exceeds the connection number threshold value corresponding to the position type, obtaining an adjustment value by multiplying the signal connection number by an adjustment coefficient; connecting the origin of the rectangular coordinate system of the area plane with four supplementary preselected area selection points or four preselected area selection points to obtain an adjusting connecting line; selecting a section of the adjusting connecting line close to the four supplementary preselected area selection points or the four preselected area selection points as an initial end, and taking an adjusting value as a unit to obtain a thermal area selection point; the heating power area selection points are connected in sequence, and the enclosed area is the analysis area of the intelligent terminal, so that the use area of the user is more accurate to select;
(4) acquiring all signal base stations in an analysis area of the intelligent terminal, and acquiring a data connection mode of the intelligent terminal; all signal base stations in the analysis area are subjected to simulation test through the simulation interaction model, and an interference simulation value is obtained, so that a user can select the signal base stations according to the interference simulation value, and poor use experience of a network formed by blind access is avoided.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic block diagram of the present invention;
FIG. 2 is a schematic view of a preselected region selection point according to the present invention;
FIG. 3 is a diagram illustrating a preset parsing area according to the present invention;
FIG. 4 is a schematic diagram of a supplementary default analysis area according to the present invention;
FIG. 5 is a schematic diagram of a parsing area according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings of the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
Thus, the detailed description of the embodiments of the present invention provided in the following drawings is not intended to limit the scope of the invention as claimed, but is merely representative of selected embodiments of the invention.
An optimal network selection system based on an intelligent terminal comprises a position module, an area selection module, a simulation module and a connection module;
the position module is arranged to acquire coordinate information of the intelligent terminal and the signal base station;
the area selection module is set to draw an analysis area of the intelligent terminal;
the simulation module is arranged for performing simulation connection on the signal base stations in the analysis area;
the connection module is set to establish data link between the intelligent terminal and the signal base station.
As shown in fig. 1, an optimal network selection method based on an intelligent terminal includes the following steps:
the method comprises the following steps: acquiring the geographical position of the intelligent terminal, analyzing and acquiring an analysis area of the intelligent terminal;
step two: acquiring all signal base stations in an analysis area, carrying out communication interference simulation, and acquiring an interference simulation value of the signal base stations;
step three: selecting a signal base station with the minimum interference simulation value as a first cis-position base station;
step four: and establishing data link between the intelligent terminal and the first cis-position base station.
The present invention will be described in detail with reference to specific examples.
When the method is implemented specifically, the geographical position of the intelligent terminal needs to be acquired first, and the geographical position is analyzed to acquire the analysis area of the intelligent terminal.
Specifically, the position coordinates of the intelligent terminal are obtained through GPRS or/and GPS in the intelligent terminal; it should be noted that the position coordinates of the intelligent terminal are the position coordinates under the JJF 1251-.
Establishing a rectangular coordinate system of a region plane through CAD software, and selecting a position coordinate of the intelligent terminal as an origin of the rectangular coordinate system of the region plane;
herein, the CAD software may be AutoCAD 2021, AutoCAD 2020, AutoCAD 2019, zenithal building CAD, etc., and the present invention is not particularly limited.
Acquiring the position type of the position coordinate of the intelligent terminal and the area threshold corresponding to the position type, wherein the details are shown in a table I:
watch position type watch
| Location type | Region threshold | Signal base station threshold | Supplementary coefficient | Connection number threshold |
| Town and town | 3 km | 5 seats | 2n | 2500 |
| Country | 5 km | 4 seats | 3n | 3000 |
| Barren source | 8 km | 2 seats | 5n | 3500 |
As shown in fig. 2, the origin along the rectangular coordinate system of the region plane is taken as the starting point, and (region threshold, 0), (-region threshold, 0), (0, region threshold), (0, -region threshold) is selected as the selected point of the preselected region;
as shown in fig. 2, (region threshold, 0), (-region threshold, 0) is selected to be the first ray parallel to the Y axis, respectively;
selecting (0, area threshold) and (0-area threshold) to respectively make a second ray parallel to the X axis;
acquiring four intersection points of the first ray and the second ray as preset area points;
sequentially connecting four preset area points, wherein the enclosed area is a preset analysis area;
and obtaining the number of signal base stations in a preset analysis area, and when the number of the signal base stations in the preset analysis area is larger than a signal base station threshold value corresponding to the position type, performing signal thermodynamic diagram screening and obtaining the analysis area of the intelligent terminal.
When the number of signal base stations in the preset analysis area is less than the signal base station threshold corresponding to the position type, the preset analysis area is supplemented, specifically,
acquiring a supplementary preselected area selection point by (α × area threshold, 0), (0, α × area threshold);
wherein, alpha is a supplementary coefficient corresponding to the position type of the position coordinate of the intelligent terminal;
as shown in fig. 3, (α × area threshold, 0) are selected to be complementary first rays parallel to the Y axis, respectively;
selecting (0, alpha X area threshold), (0, alpha X-area threshold) to respectively make a supplementary second ray parallel to the X axis;
acquiring four intersection points of the supplementary first ray and the supplementary second ray as supplementary preset region points;
as shown in fig. 4, four supplementary preset region points are connected in sequence, and the enclosed region is a supplementary preset analysis region;
as shown in fig. 5, when the number of signal base stations in the preset analysis region is smaller than the signal base station threshold corresponding to the position type, the preset analysis region is supplemented until the number of signal base stations in the supplementary preset analysis region is larger than the signal base station threshold corresponding to the position type, the supplementation is completed, and signal thermodynamic diagram screening is performed on the supplementary preset analysis region and the analysis region of the intelligent terminal is obtained.
Then, the preset analysis area or the supplementary preset analysis area is divided into a first heating power area, a second heating power area, a third heating power area and a fourth heating power area according to an area plane rectangular coordinate system in real time;
respectively acquiring the signal connection quantity in a thermal first area, a thermal second area, a thermal third area and a thermal fourth area;
when the signal connection number exceeds the connection number threshold value corresponding to the position type, obtaining an adjustment value by multiplying the signal connection number by an adjustment coefficient;
connecting the origin of the rectangular coordinate system of the area plane with four supplementary preselected area selection points or four preselected area selection points to obtain an adjusting connecting line;
selecting a section of the adjusting connecting line close to the four supplementary preselected area selection points or the four preselected area selection points as an initial end, and taking an adjusting value as a unit to obtain a thermal area selection point;
and sequentially connecting the thermal area selection points, wherein the enclosed area is the analysis area of the intelligent terminal.
Acquiring all signal base stations in the analysis region in the acquisition of the analysis region, carrying out communication interference simulation, and acquiring an interference simulation value of the signal base stations;
when the method is realized in detail, all signal base stations in the analysis area of the intelligent terminal are obtained, and the data connection mode of the intelligent terminal is obtained;
it should be noted that the signal base station may be a telecommunication signal base station or/and a mobile signal base station or/and a universal signal base station, and the invention is not limited in particular.
And then, carrying out simulation test on all signal base stations in the analysis area through a simulation interaction model, obtaining an interference simulation value, and carrying out accounting on the interference simulation value through an artificial intelligence algorithm.
When the artificial intelligence algorithm is realized in a concrete way, the artificial intelligence algorithm is a convolution neural network operation circuit and comprises an external memory used for storing an image to be processed;
the direct access unit is connected with the external memory and used for reading the image to be processed and transmitting the read data to the control unit;
the control unit is connected with the direct access unit and used for storing data into the internal memory;
the internal memory is connected with the control unit and used for caching data;
and the operation unit is connected with the internal memory and is used for reading data from the internal memory and performing convolution pooling operation.
The number of arithmetic units is at least two.
Under the condition that all the operation units are connected in a cascade structure, the data of the nth layer is cached in an internal memory after being subjected to convolution pooling operation of the nth operation unit, the data after operation is taken out by the (n + 1) th operation unit, and the convolution pooling operation of the (n + 1) th layer is carried out, wherein n is a positive integer.
Under the condition that the operation units are connected in a parallel structure, the operation units respectively process partial images of the image to be processed, and the operation units adopt the same convolution kernel to carry out parallel convolution pooling operation.
The method is characterized in that under the condition that all operation units are connected in a parallel structure, all operation units respectively extract different features of an image to be processed, and all operation units adopt different convolution kernels to perform parallel convolution pooling operation.
In the case where the number of the operation units is two, the two operation units extract contour information and detail information of the image to be processed, respectively.
The arithmetic unit comprises a convolution arithmetic unit, a pooling arithmetic unit, a buffer unit and a buffer control unit.
The convolution operation unit is used for carrying out convolution operation on the data and transmitting an obtained convolution result to the pooling operation unit;
the pooling operation unit is connected with the convolution operation unit and used for performing pooling operation on the convolution result and storing the obtained pooling result into the buffer unit;
and the buffer control unit is used for storing the pooling result into the internal memory through the buffer unit or into the external memory through the direct access unit.
The external memory includes at least one of:
double-rate synchronous dynamic random access memory and synchronous dynamic random access memory.
The internal memory includes a static memory array,
the static memory array includes a plurality of static memories, each for storing different data.
When the simulation interaction model is concretely realized, the simulation interaction model comprises an acquisition layer, a matching layer, a simulation layer, a transmission layer and an output layer;
the acquisition layer is used for acquiring hardware data of the intelligent terminal;
the matching layer is used for interacting with the intelligent terminal and recording the data connection mode of the intelligent terminal;
the simulation layer is used for reading hardware data and a data connection mode of the intelligent terminal and establishing a virtual machine;
the transmission layer is used for connecting the virtual machine with the signal base station and carrying out interaction;
the output layer is used for recording interactive delay data, stable data and lost data, and obtaining an interference simulation value through the product of the delay data, the stable data and the lost data.
In another implementation, the delay data is specifically a sum of a time difference between data transmission by the virtual machine and data reception by the signal base station and a time difference between data transmission by the signal base station and data reception by the virtual machine.
The stable data is specifically the total time length of disconnection between the virtual machine and the signal base station or/and between the virtual machine and the signal base station under the condition of normal connection between the virtual machine and the signal base station.
The lost data is specifically an accumulated value of a difference between the number of bytes of data sent by the virtual machine and the number of bytes of data received by the signal base station and a difference between the number of bytes of data sent by the signal base station and the number of bytes of data received by the virtual machine.
And selecting the optimal network in the current area by selecting the signal base station with the minimum interference simulation value as the first cis-position base station.
The above formulas are all calculated by taking the numerical value of the dimension, the formula is a formula which obtains the latest real situation by acquiring a large amount of data and performing software simulation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
In the embodiments provided by the present invention, it should be understood that the disclosed apparatus, device and method can be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and there may be other divisions when the actual implementation is performed; the modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the method of the embodiment.
It will also be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof.
The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or means recited in the system claims may also be implemented by one unit or means in software or hardware. The terms second, etc. are used to denote names, but not any particular order.
Finally, it should be noted that the above examples are only intended to illustrate the technical process of the present invention and not to limit the same, and although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that modifications or equivalent substitutions may be made to the technical process of the present invention without departing from the spirit and scope of the technical process of the present invention.
Claims (7)
1. An optimal network selection method based on an intelligent terminal is characterized by comprising the following steps:
the method comprises the following steps: acquiring the geographical position of the intelligent terminal, analyzing and acquiring an analysis area of the intelligent terminal;
step two: acquiring all signal base stations in an analysis area, carrying out communication interference simulation, and acquiring an interference simulation value of the signal base stations;
step three: selecting a signal base station with the minimum interference simulation value as a first cis-position base station;
step four: establishing data link between the intelligent terminal and the first cis-position base station;
the method comprises the steps of obtaining the geographic position of the intelligent terminal, analyzing and obtaining the analysis area of the intelligent terminal, specifically, obtaining the position coordinate of the intelligent terminal through GPRS or/and GPS in the intelligent terminal;
establishing a rectangular coordinate system of a region plane through CAD software, and selecting a position coordinate of the intelligent terminal as an origin of the rectangular coordinate system of the region plane;
acquiring a position type of a position coordinate of the intelligent terminal and a region threshold corresponding to the position type;
selecting (region threshold value, 0), (-region threshold value, 0), (0, region threshold value), (0, -region threshold value) as a preselected region selection point by taking the origin of the rectangular coordinate system along the region plane as a starting point;
selecting (region threshold, 0) and (region threshold, 0) to respectively make a first ray parallel to the Y axis;
selecting (0, area threshold) and (0-area threshold) to respectively make a second ray parallel to the X axis;
acquiring four intersection points of the first ray and the second ray as preset area points;
sequentially connecting four preset area points, wherein the enclosed area is a preset analysis area;
the method comprises the steps of obtaining the number of signal base stations in a preset analysis area, and when the number of the signal base stations in the preset analysis area is larger than a signal base station threshold value corresponding to a position type, carrying out signal thermodynamic diagram screening and obtaining an analysis area of the intelligent terminal;
when the number of the signal base stations in the preset analysis area is less than the signal base station threshold corresponding to the position type, the preset analysis area is supplemented, specifically,
acquiring a supplementary preselected area selection point by (α × area threshold, 0), (0, α × area threshold);
wherein, alpha is a supplementary coefficient corresponding to the position type of the position coordinate of the intelligent terminal;
selecting (alpha x regional threshold, 0), (alpha x-regional threshold, 0) to respectively make a supplementary first ray parallel to the Y axis;
selecting (0, alpha X area threshold), (0, alpha X-area threshold) to respectively make a supplementary second ray parallel to the X axis;
acquiring four intersection points of the supplementary first ray and the supplementary second ray as supplementary preset region points;
sequentially connecting four supplementary preset area points, wherein the enclosed area is a supplementary preset analysis area;
and when the number of the signal base stations in the preset analysis area is smaller than the signal base station threshold corresponding to the position type, supplementing the preset analysis area until the number of the signal base stations in the supplemented preset analysis area is larger than the signal base station threshold corresponding to the position type, completing the supplementation, performing signal thermodynamic diagram screening on the supplemented preset analysis area, and acquiring the analysis area of the intelligent terminal.
2. The method for selecting the optimal network based on the intelligent terminal according to claim 1, wherein the signal thermodynamic diagram is screened and the analysis area of the intelligent terminal is obtained, and particularly,
dividing the preset analytic region or the supplementary preset analytic region into a first thermodynamic region, a second thermodynamic region, a third thermodynamic region and a fourth thermodynamic region according to a region plane rectangular coordinate system;
respectively acquiring the signal connection quantity in a thermal first area, a thermal second area, a thermal third area and a thermal fourth area;
when the signal connection number exceeds the connection number threshold value corresponding to the position type, obtaining an adjustment value by multiplying the signal connection number by an adjustment coefficient;
connecting the origin of the rectangular coordinate system of the area plane with four supplementary preselected area selection points or four preselected area selection points to obtain an adjusting connecting line;
selecting a section of the adjusting connecting line close to the four supplementary preselected area selection points or the four preselected area selection points as an initial end, and adjusting the value as a threshold value to obtain a thermal area selection point;
and sequentially connecting the thermal area selection points, wherein the enclosed area is the analysis area of the intelligent terminal.
3. The method according to claim 1, wherein the method for selecting the optimal network based on the intelligent terminal comprises obtaining all signal base stations in the analysis area, performing communication interference simulation, and obtaining an interference simulation value of the signal base stations, and specifically,
acquiring all signal base stations in an analysis area of the intelligent terminal, and acquiring a data connection mode of the intelligent terminal;
and carrying out simulation test on all signal base stations in the analysis area through a simulation interaction model, and obtaining an interference simulation value.
4. The optimal network selection method based on the intelligent terminal is characterized in that the simulation interaction model comprises an acquisition layer, a matching layer, a simulation layer, a transmission layer and an output layer;
the acquisition layer is used for acquiring hardware data of the intelligent terminal;
the matching layer is used for interacting with the intelligent terminal and recording the data connection mode of the intelligent terminal;
the simulation layer is used for reading hardware data and a data connection mode of the intelligent terminal and establishing a virtual machine;
the transmission layer is used for connecting the virtual machine with the signal base station and carrying out interaction;
the output layer is used for recording interactive delay data, stable data and lost data, and obtaining an interference simulation value through the product of the delay data, the stable data and the lost data.
5. The optimal network selection method based on the intelligent terminal as claimed in claim 4, wherein the delay data is specifically a sum of a time difference between data transmission by the virtual machine and data reception by the signal base station and a time difference between data transmission by the signal base station and data reception by the virtual machine.
6. The optimal network selection method based on the intelligent terminal according to claim 5, wherein the stable data is a total duration of disconnection between the virtual machine and the signal base station or/and between the virtual machine and the signal base station under a normal connection condition between the virtual machine and the signal base station.
7. The method according to claim 4, wherein the lost data is specifically an accumulated value of a difference between a number of bytes of data sent by the virtual machine and a number of bytes of data received by the signal base station and a difference between a number of bytes of data sent by the signal base station and a number of bytes of data received by the virtual machine.
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