CN109819470B - WIFI flow distribution system based on big data analysis - Google Patents
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Abstract
The invention discloses a WIFI flow distribution system based on big data analysis, which comprises an intelligent terminal group, a network access unit, a flow monitoring module, a data temporary storage module, a data following unit, a controller, a display module, a data access unit, a storage module, a rate distribution module and a rule base, wherein the intelligent terminal group is connected with the network access unit; the intelligent terminal group is a plurality of intelligent devices which are used by a family user and need to be networked; the access real-time speed of the fluctuation area Zbi in the following stage is obtained; then, taking 24 hours of a single day as a standard, obtaining 24 time periods from 0 to 24 hours, and calculating the access real-time speed average value of the corresponding fluctuation area Zbi within 24 hours; and finally, marking the time interval corresponding to the highest value of the real-time speed average value accessed in each time interval as a high-speed time interval Tgij, so that the network access speed of different corresponding equipment in which time intervals are the priority can be ensured.
Description
Technical Field
The invention belongs to the field of flow distribution, relates to a big data analysis technology, and particularly relates to a WIFI flow distribution system based on big data analysis.
Background
With the technological progress and the coming of the network era, the demand of people for the network can be said to become a basic requirement; and currently various wireless networks are beginning to cover;
the wireless network internet access can be simply understood as wireless internet access, almost all smart phones, tablet computers and notebook computers support Wi-Fi internet access, and the wireless network internet access is the most widely used wireless network transmission technology at present. In fact, the wired network signal is converted into a wireless signal, and a wireless router is used for receiving related computers, mobile phones, panels and the like supporting the technology. If the mobile phone has the Wi-Fi function, the mobile phone can surf the internet without a mobile communication network when having Wi-Fi wireless signals, so that the traffic fee is saved.
However, currently, for some household small wireless networks, the upper limit of the network speed is fixed, and with the increase of household intelligent devices, the network is required to implement the relevant functions; however, because the devices are different and the requirements are different, if some critical devices are ensured to be able to obtain a higher network access speed in time when needed, it is still difficult to implement for the present time; in order to overcome this technical drawback, a solution is proposed.
Disclosure of Invention
The invention aims to provide a WIFI flow distribution system based on big data analysis.
The technical problem to be solved by the invention is as follows:
(1) how to partition the network access of the intelligent equipment in the home to obtain the basic condition of the network access;
(2) how to screen out intelligent equipment needing preferential network access and a time slot corresponding to the intelligent equipment;
(3) how to guarantee the network speed of network access to be stable to the maximum extent;
the purpose of the invention can be realized by the following technical scheme:
a WIFI traffic distribution system based on big data analysis comprises an intelligent terminal group, a network access unit, a traffic monitoring module, a data temporary storage module, a data following unit, a controller, a display module, a data access unit, a storage module, a rate distribution module and a rule base;
the intelligent terminal group is a plurality of intelligent devices which are used by a family user and need to be networked;
the intelligent terminal group is accessed to the internet through the network access unit, the flow monitoring module is used for detecting the real-time network speed of each intelligent terminal accessed to the network access unit and transmitting the real-time network speed to the data temporary storage module, the data temporary storage module receives the real-time network speed transmitted by the flow monitoring module and integrates the data, and the method specifically comprises the following steps:
the method comprises the following steps: firstly, taking preset days X1 as a following stage, wherein X1 is at least more than 30 days, and acquiring the real-time Internet traffic access speed of each intelligent terminal of a family in the following stage;
step two: marking intelligent terminals in the intelligent terminal group as Zi, wherein i =1.. n;
step three: acquiring an access speed upper limit of family WIFI traffic, and marking the access speed upper limit as Vf; setting an access speed boundary value Vf1, and selecting an intelligent terminal;
step four: carrying out access analysis on the intelligent terminal, specifically comprising the following steps:
s1: analyzing the access speed of the intelligent terminal in the following stage, marking all access time periods of which the access speed is lower than a speed boundary value Vf1 of the intelligent terminal as first access time periods, and dividing the rest access time periods into second access time periods;
s2: calculating the average access speed of the first access period, and marking the average access speed as Vd 1; meanwhile, calculating the average access speed of the second access period, and marking the average access speed as Vg 1;
s3: obtaining access height Vc1 by using a formula Vc1= Vg1-Vd 1;
step five: selecting the next intelligent terminal, and obtaining Vd2, Vg2 and Vc2 of the intelligent terminal by using the principle of the step four;
step six: repeating the fifth step to obtain Vdi, Vgi and Vci of all the intelligent terminals, wherein i =1.. n; vdi, Vgi and Vci correspond to Zi one by one;
step seven: continuously acquiring the real-time speed of internet flow access of each intelligent terminal when the following phase is finished, and repeating the third step to the sixth step;
the data temporary living module is used for transmitting Vdi, Vgi, Vci and Zi to the data following unit, the data following unit is used for classifying the Vdi, Vgi, Vci and Zi, and the specific classification steps are as follows:
a: acquiring Vci corresponding to each Zi;
b: comparing Vci with preset values X2, X3, wherein X2< X3;
when Vci < X2, label the corresponding Zi as a speed plateau and label the speed plateau as Zwi; marking Vdi and Vgi corresponding to Vdwi and Vgwi respectively;
when the Vci is not less than X2 and not more than X3, marking the corresponding Zi as a normal zone, and marking the normal zone as ZCi; marking the corresponding Vdi and Vgi as Vdci and Vgci respectively;
when Vci > X3, label the corresponding Zi as a surge region, and label the surge region as Zbi; marking Vdi and Vgi corresponding to Vdbi and Vgbi as Vdbi and Vgbi respectively;
the data following unit is used for transmitting the speed stabilizing area Zwi, the normal area Zci and the fluctuation area Zbi to the controller, and simultaneously transmitting Vdwi and Vgwi corresponding to the speed stabilizing area Zwi to the controller;
the controller receives the speed stabilizing area Zwi, the normal area Zci, the fluctuation area Zbi and the Vdwi corresponding to the speed stabilizing area Zwi transmitted by the data following unit, and is used for allocating access speed to the speed stabilizing area Zwi to obtain the highest access speed Vwp corresponding to the speed stabilizing area Zwi;
the controller is used for transmitting the access speed Vwp corresponding to the speed stabilizing area Zwi to the speed distribution module, and is also used for transmitting the normal area ZCi and the fluctuation area Zbi to the speed distribution module, and the speed distribution module is used for carrying out residual speed distribution by combining the rule base and the data temporary storage module to obtain the real-time upper limit of the network access speed corresponding to each intelligent terminal;
and the rate distribution module is used for limiting the network speed of each intelligent terminal accessed by the WIFI access module according to the network access real-time speed upper limit of the corresponding intelligent terminal.
Further, the specific steps of allocating the access speed to the speed stabilizing area Zwi are as follows:
s100: acquiring a speed stabilizing area Zwi and Vdwi corresponding to the speed stabilizing area, and performing network speed configuration on Zwi in the speed stabilizing area;
s200: calculating to obtain an access basic speed Vwj = (Vdwi + Vgwi)/2 of the speed stabilizing region Zwi by using a formula;
s300: acquiring an access floating speed Vy1 preset in a controller; obtaining a corresponding access speed Vwp = Vwj +/-Vy 1; vwp is the highest access speed corresponding to the speed stabilizing area Zwi.
Further, the specific steps of the rate allocation module for performing the remaining rate allocation are as follows:
the method comprises the following steps: acquiring the access real-time speed of the fluctuation area Zbi in the following stage;
step two: taking 24 hours of a single day as a standard, obtaining 24 time periods from 0 to 24 hours, and calculating the access real-time speed average value of the corresponding fluctuation area Zbi within 24 hours;
step three: marking the time interval corresponding to the highest value of the real-time speed average value accessed in each time interval as a high-speed time interval Tgij, i =1.. n, j =1.. 24; tgij represents this time period j-1 to j; and marking the corresponding intelligent terminal as Zzi, i =1.. n; and marking the access real-time speed average value for the corresponding high-speed period Tgi as Vsij, i =1.. n, j =1.. 24; vsij, Tgij and Zzi are in one-to-one correspondence; namely Tg12 represents that the average value of the access real-time speed of the intelligent terminal Zz1 at 1-2 points is Vs 12;
step four: distributing the network speed to all intelligent terminals in the speed stabilizing area Zwi, the normal area Zci and the fluctuation area Zbi;
step five: detecting the time interval of the current time point in real time;
step six: when the time is in the high-speed period Tgij, setting the corresponding Zzi network access real-time speed upper limit as Vsij plus a correction value X4, wherein X4 is a preset value, and Vsij + X4 is not more than Vf; then, distributing the speed of the rest intelligent terminals;
SS 1: when Vf- (Vsij + X5) =0, network access of the other remaining intelligent terminals is interrupted;
SS 2: when Vf- (Vsij + X5) - (Vwj + Vy 1) × K ≧ 0, limiting the real-time speed of network access of the intelligent terminal in the speed stabilizing zone Zwi to Vwp = Vwj; k is the number of the intelligent terminals in the stable speed area; the upper limit of the network access speed of the rest intelligent terminals is the sum of Vf minus Vsij + X5 and Vwp;
in the step SS2, when the real-time network access speed of the intelligent terminal in the speed stabilizing area Zwi reaches Vwj and is kept at or above the preset time, the upper limit of the real-time network access speed of the intelligent terminal in the speed stabilizing area Zwi is set to Vwp = Vwj + Vy 1; when the real-time network access speed of the intelligent terminal in the speed stabilizing area Zwi does not reach Vwj within the preset time, the upper limit of the real-time network access speed of the intelligent terminal in the speed stabilizing area Zwi is set to Vwp = Vwj-Vy 1.
Further, the rate distribution module is used for transmitting the network access real-time speed upper limit of the corresponding intelligent terminal to the controller, and the controller is used for transmitting the network access real-time speed upper limit of the corresponding intelligent terminal to the display module for real-time display; and the controller is used for transmitting the real-time upper speed limit of the network access of the corresponding intelligent terminal to the storage module for real-time storage.
Further, the data access unit is used for transmitting specific values of Vy1, X1, X2, X3 and X4 to the controller; the controller will replace the original values when receiving new specific values of Vy1 and X4; the controller is used for transmitting specific values of X1, X2 and X3 to the data following unit, and the data following unit is used for transmitting specific values of X1 to the data temporary storage module;
the data following unit replaces the specific values of X2 and X3 with the original values when receiving the values; the data-dwelling module will replace the specific value of X1 when it receives it.
The invention has the beneficial effects that:
analyzing the access speed of the intelligent terminal, marking all access time periods of which the access speed is lower than a speed boundary value Vf1 of the intelligent terminal as first access time periods, and dividing the rest access time periods into second access time periods; then calculating the average access speed of the first access period, and marking the average access speed as Vd 1; meanwhile, calculating the average access speed of the second access period, and marking the average access speed as Vg 1; obtaining access height Vc1 by using a formula Vc1= Vg1-Vd 1; repeating the previous steps to obtain Vdi, Vgi and Vci of all the intelligent terminals; then carrying out distinguishing and dividing according to the value of Vci;
meanwhile, the access real-time speed of the fluctuation area Zbi in the following stage is obtained; then, taking 24 hours of a single day as a standard, obtaining 24 time periods from 0 to 24 hours, and calculating the access real-time speed average value of the corresponding fluctuation area Zbi within 24 hours; finally, marking the time interval corresponding to the highest value of the real-time speed average value accessed in each time interval as a high-speed time interval Tgij, and obtaining the time intervals of different corresponding devices which are in priority and need to ensure the network access speed;
after the network speed of a high-speed period in which high-speed network access is required is preferentially ensured through a related network speed distribution rule, other network configurations are preferentially distributed to the intelligent equipment in the speed stabilizing area, and the network access speed of the intelligent equipment in the area is ensured; the invention is simple, effective and easy to use.
Drawings
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 a block diagram of the system of the present invention.
Detailed Description
As shown in fig. 1, a WIFI traffic distribution system based on big data analysis includes an intelligent terminal group, a network access unit, a traffic monitoring module, a data temporary living module, a data following unit, a controller, a display module, a data access unit, a storage module, a rate distribution module, and a rule base;
the intelligent terminal group is a plurality of intelligent devices which are used by a family user and need to be networked;
the intelligent terminal group is accessed to the internet through the network access unit, the flow monitoring module is used for detecting the real-time network speed of each intelligent terminal accessed to the network access unit and transmitting the real-time network speed to the data temporary storage module, the data temporary storage module receives the real-time network speed transmitted by the flow monitoring module and integrates the data, and the method specifically comprises the following steps:
the method comprises the following steps: firstly, taking preset days X1 as a following stage, wherein X1 is at least more than 30 days, and acquiring the real-time Internet traffic access speed of each intelligent terminal of a family in the following stage;
step two: marking intelligent terminals in the intelligent terminal group as Zi, wherein i =1.. n;
step three: acquiring an access speed upper limit of family WIFI traffic, and marking the access speed upper limit as Vf; setting an access speed boundary value Vf1, and selecting an intelligent terminal;
step four: carrying out access analysis on the intelligent terminal, specifically comprising the following steps:
s1: analyzing the access speed of the intelligent terminal in the following stage, marking all access time periods of which the access speed is lower than a speed boundary value Vf1 of the intelligent terminal as first access time periods, and dividing the rest access time periods into second access time periods;
s2: calculating the average access speed of the first access period, and marking the average access speed as Vd 1; meanwhile, calculating the average access speed of the second access period, and marking the average access speed as Vg 1;
s3: obtaining access height Vc1 by using a formula Vc1= Vg1-Vd 1;
step five: selecting the next intelligent terminal, and obtaining Vd2, Vg2 and Vc2 of the intelligent terminal by using the principle of the step four;
step six: repeating the fifth step to obtain Vdi, Vgi and Vci of all the intelligent terminals, wherein i =1.. n; vdi, Vgi and Vci correspond to Zi one by one;
step seven: continuously acquiring the real-time speed of internet flow access of each intelligent terminal when the following phase is finished, and repeating the third step to the sixth step;
the data temporary living module is used for transmitting Vdi, Vgi, Vci and Zi to the data following unit, the data following unit is used for classifying the Vdi, Vgi, Vci and Zi, and the specific classification steps are as follows:
a: acquiring Vci corresponding to each Zi;
b: comparing Vci with preset values X2, X3, wherein X2< X3;
when Vci < X2, label the corresponding Zi as a speed plateau and label the speed plateau as Zwi; marking Vdi and Vgi corresponding to Vdwi and Vgwi respectively;
when the Vci is not less than X2 and not more than X3, marking the corresponding Zi as a normal zone, and marking the normal zone as ZCi; marking the corresponding Vdi and Vgi as Vdci and Vgci respectively;
when Vci > X3, label the corresponding Zi as a surge region, and label the surge region as Zbi; marking Vdi and Vgi corresponding to Vdbi and Vgbi as Vdbi and Vgbi respectively;
the data following unit is used for transmitting the speed stabilizing area Zwi, the normal area Zci and the fluctuation area Zbi to the controller, and simultaneously transmitting Vdwi and Vgwi corresponding to the speed stabilizing area Zwi to the controller;
the controller receives the speed stabilizing area Zwi, the normal area Zci, the fluctuation area Zbi and the Vdwi and Vgwi corresponding to the speed stabilizing area Zwi transmitted by the data following unit, and is used for allocating access speed to the speed stabilizing area Zwi, and the specific expression is as follows:
s100: acquiring a speed stabilizing area Zwi and Vdwi corresponding to the speed stabilizing area, and performing network speed configuration on Zwi in the speed stabilizing area;
s200: calculating to obtain an access basic speed Vwj = (Vdwi + Vgwi)/2 of the speed stabilizing region Zwi by using a formula;
s300: acquiring an access floating speed Vy1 preset in a controller; obtaining a corresponding access speed Vwp = Vwj +/-Vy 1; vwp is the highest access speed corresponding to the speed stabilizing area Zwi;
the controller is configured to transmit an access speed Vwp corresponding to the speed stabilizing region Zwi to the rate allocation module, and further configured to transmit the normal region Zci and the fluctuation region Zbi to the rate allocation module, where the rate allocation module is configured to perform remaining rate allocation in combination with the rule base and the data temporary module, and the specific steps are as follows:
the method comprises the following steps: acquiring the access real-time speed of the fluctuation area Zbi in the following stage;
step two: taking 24 hours of a single day as a standard, obtaining 24 time periods from 0 to 24 hours, and calculating the access real-time speed average value of the corresponding fluctuation area Zbi within 24 hours;
step three: marking the time interval corresponding to the highest value of the real-time speed average value accessed in each time interval as a high-speed time interval Tgij, i =1.. n, j =1.. 24; tgij represents this time period j-1 to j; and marking the corresponding intelligent terminal as Zzi, i =1.. n; and marking the access real-time speed average value for the corresponding high-speed period Tgi as Vsij, i =1.. n, j =1.. 24; vsij, Tgij and Zzi are in one-to-one correspondence; namely Tg12 represents that the average value of the access real-time speed of the intelligent terminal Zz1 at 1-2 points is Vs 12;
step four: distributing the network speed to all intelligent terminals in the speed stabilizing area Zwi, the normal area Zci and the fluctuation area Zbi;
step five: detecting the time interval of the current time point in real time;
step six: when the time is in the high-speed period Tgij, setting the corresponding Zzi network access real-time speed upper limit as Vsij plus a correction value X4, wherein X4 is a preset value, and Vsij + X4 is not more than Vf; then, distributing the speed of the rest intelligent terminals;
SS 1: when Vf- (Vsij + X5) =0, network access of the other remaining intelligent terminals is interrupted;
SS 2: when Vf- (Vsij + X5) - (Vwj + Vy 1) × K ≧ 0, limiting the real-time speed of network access of the intelligent terminal in the speed stabilizing zone Zwi to Vwp = Vwj; k is the number of the intelligent terminals in the stable speed area; the upper limit of the network access speed of the rest intelligent terminals is the sum of Vf minus Vsij + X5 and Vwp;
if Vf- (Vsij + X5) >0, but when Vf- (Vsij + X5) - (Vwj + Vy 1) × K <0, setting the upper limit of the individual network access speed of the smart device in the speed stabilizing zone to { Vf- (Vsij + X5) }/K;
in the step SS2, when the real-time network access speed of the intelligent terminal in the speed stabilizing area Zwi reaches Vwj and is kept at or above the preset time, the upper limit of the real-time network access speed of the intelligent terminal in the speed stabilizing area Zwi is set to Vwp = Vwj + Vy 1; when the real-time network access speed of the intelligent terminal in the speed stabilizing area Zwi does not reach Vwj within the preset time, setting the upper limit of the real-time network access speed of the intelligent terminal in the speed stabilizing area Zwi to be Vwp = Vwj-Vy 1;
the rate distribution module is used for limiting the network speed of each intelligent terminal accessed by the WIFI access module according to the network access real-time speed upper limit of the corresponding intelligent terminal;
the rate distribution module is used for transmitting the network access real-time speed upper limit of the corresponding intelligent terminal to the controller, and the controller is used for transmitting the network access real-time speed upper limit of the corresponding intelligent terminal to the display module for real-time display; the controller is used for transmitting the real-time upper speed limit of the network access of the corresponding intelligent terminal to the storage module for real-time storage;
the data access unit is used for transmitting specific numerical values of Vy1, X1, X2, X3 and X4 to the controller; the controller will replace the original values when receiving new specific values of Vy1 and X4; the controller is used for transmitting specific values of X1, X2 and X3 to the data following unit, and the data following unit is used for transmitting specific values of X1 to the data temporary storage module;
the data following unit replaces the specific values of X2 and X3 with the original values when receiving the values; the data-dwelling module will replace the specific value of X1 when it receives it.
During work, firstly, network access monitoring is carried out on intelligent equipment in a family through a flow monitoring module, big data accumulation is carried out on each piece of equipment in the family in a following stage, the internet surfing condition of each piece of intelligent equipment in the family is specifically analyzed after a certain data text is accumulated, firstly, a boundary of network access speed is divided, a network access mean value of the upper end and the lower end of the boundary is specifically calculated, after a difference value of the upper end mean value and the lower end mean value is calculated, region division of the intelligent equipment is carried out according to the difference value, and the intelligent equipment in the family is divided into a speed stabilizing region, a fluctuation region and a normal region; then according to the data following unit, the controller and the corresponding rate distribution module, different network speed limits are carried out on the equipment in different areas; for the intelligent equipment in the fluctuation area, the network speed peak value of different intelligent equipment during access is obtained through data statistics, the access speed of the intelligent equipment in the peak value period is ensured, on the premise, the intelligent equipment in the stable speed area is ensured to be in stable network access, and for other intelligent equipment, the intelligent equipment and the stable speed area need to give way;
analyzing the access speed of the intelligent terminal, marking all access time periods of which the access speed is lower than a speed boundary value Vf1 of the intelligent terminal as first access time periods, and dividing the rest access time periods into second access time periods; then calculating the average access speed of the first access period, and marking the average access speed as Vd 1; meanwhile, calculating the average access speed of the second access period, and marking the average access speed as Vg 1; obtaining access height Vc1 by using a formula Vc1= Vg1-Vd 1; repeating the previous steps to obtain Vdi, Vgi and Vci of all the intelligent terminals; then carrying out distinguishing and dividing according to the value of Vci;
meanwhile, the access real-time speed of the fluctuation area Zbi in the following stage is obtained; then, taking 24 hours of a single day as a standard, obtaining 24 time periods from 0 to 24 hours, and calculating the access real-time speed average value of the corresponding fluctuation area Zbi within 24 hours; finally, marking the time interval corresponding to the highest value of the real-time speed average value accessed in each time interval as a high-speed time interval Tgij, and obtaining the time intervals of different corresponding devices which are in priority and need to ensure the network access speed;
after the network speed of a high-speed period in which high-speed network access is required is preferentially ensured through a related network speed distribution rule, other network configurations are preferentially distributed to the intelligent equipment in the speed stabilizing area, and the network access speed of the intelligent equipment in the area is ensured; the invention is simple, effective and easy to use.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (5)
1. A WIFI traffic distribution system based on big data analysis is characterized by comprising an intelligent terminal group, a network access unit, a traffic monitoring module, a data temporary storage module, a data following unit, a controller, a display module, a data access unit, a storage module, a rate distribution module and a rule base;
the intelligent terminal group is a plurality of intelligent devices which are used by a family user and need to be networked;
the intelligent terminal group is accessed to the internet through the network access unit, the flow monitoring module is used for detecting the real-time network speed of each intelligent terminal accessed to the network access unit and transmitting the real-time network speed to the data temporary storage module, the data temporary storage module receives the real-time network speed transmitted by the flow monitoring module and integrates the data, and the method specifically comprises the following steps:
the method comprises the following steps: firstly, taking preset days X1 as a following stage, wherein X1 is at least more than 30 days, and acquiring the real-time Internet traffic access speed of each intelligent terminal of a family in the following stage;
step two: marking intelligent terminals in the intelligent terminal group as Zi, wherein i =1.. n;
step three: acquiring an access speed upper limit of family WIFI traffic, and marking the access speed upper limit as Vf; setting an access speed boundary value Vf1, and selecting an intelligent terminal;
step four: carrying out access analysis on the intelligent terminal, specifically comprising the following steps:
s1: analyzing the access speed of the intelligent terminal in the following stage, marking all access time periods of which the access speed is lower than a speed boundary value Vf1 of the intelligent terminal as first access time periods, and dividing the rest access time periods into second access time periods;
s2: calculating the average access speed of the first access period, and marking the average access speed as Vd 1; meanwhile, calculating the average access speed of the second access period, and marking the average access speed as Vg 1;
s3: obtaining access height Vc1 by using a formula Vc1= Vg1-Vd 1;
step five: selecting the next intelligent terminal, and obtaining Vd2, Vg2 and Vc2 of the intelligent terminal by using the principle of the step four;
step six: repeating the fifth step to obtain Vdi, Vgi and Vci of all the intelligent terminals, wherein i =1.. n; vdi, Vgi and Vci correspond to Zi one by one;
step seven: continuously acquiring the real-time speed of internet flow access of each intelligent terminal when the following phase is finished, and repeating the third step to the sixth step;
the data temporary living module is used for transmitting Vdi, Vgi, Vci and Zi to the data following unit, the data following unit is used for classifying the Vdi, Vgi, Vci and Zi, and the specific classification steps are as follows:
a: acquiring Vci corresponding to each Zi;
b: comparing Vci with preset values X2, X3, wherein X2< X3;
when Vci < X2, label the corresponding Zi as a speed plateau and label the speed plateau as Zwi; marking Vdi and Vgi corresponding to Vdwi and Vgwi respectively;
when the Vci is not less than X2 and not more than X3, marking the corresponding Zi as a normal zone, and marking the normal zone as ZCi; marking the corresponding Vdi and Vgi as Vdci and Vgci respectively;
when Vci > X3, label the corresponding Zi as a surge region, and label the surge region as Zbi; marking Vdi and Vgi corresponding to Vdbi and Vgbi as Vdbi and Vgbi respectively;
the data following unit is used for transmitting the speed stabilizing area Zwi, the normal area Zci and the fluctuation area Zbi to the controller, and simultaneously transmitting Vdwi and Vgwi corresponding to the speed stabilizing area Zwi to the controller;
the controller receives the speed stabilizing area Zwi, the normal area Zci, the fluctuation area Zbi and the Vdwi corresponding to the speed stabilizing area Zwi transmitted by the data following unit, and is used for allocating access speed to the speed stabilizing area Zwi to obtain the highest access speed Vwp corresponding to the speed stabilizing area Zwi;
the controller is used for transmitting the access speed Vwp corresponding to the speed stabilizing area Zwi to the speed distribution module, and is also used for transmitting the normal area ZCi and the fluctuation area Zbi to the speed distribution module, and the speed distribution module is used for carrying out residual speed distribution by combining the rule base and the data temporary storage module to obtain the real-time upper limit of the network access speed corresponding to each intelligent terminal;
and the rate distribution module is used for limiting the network speed of each intelligent terminal accessed by the WIFI access module according to the network access real-time speed upper limit of the corresponding intelligent terminal.
2. The WIFI traffic distribution system based on big data analysis of claim 1, wherein the specific steps of allocating access speed to speed stabilization area Zwi are:
s100: acquiring a speed stabilizing area Zwi and Vdwi corresponding to the speed stabilizing area, and performing network speed configuration on Zwi in the speed stabilizing area;
s200: calculating to obtain an access basic speed Vwj = (Vdwi + Vgwi)/2 of the speed stabilizing region Zwi by using a formula;
s300: acquiring an access floating speed Vy1 preset in a controller; obtaining a corresponding access speed Vwp = Vwj +/-Vy 1; vwp is the highest access speed corresponding to the speed stabilizing area Zwi.
3. The WIFI traffic distribution system based on big data analysis of claim 1, wherein the rate distribution module performs the remaining rate distribution specifically includes:
the method comprises the following steps: acquiring the access real-time speed of the fluctuation area Zbi in the following stage;
step two: taking 24 hours of a single day as a standard, obtaining 24 time periods from 0 to 24 hours, and calculating the access real-time speed average value of the corresponding fluctuation area Zbi within 24 hours;
step three: marking the time interval corresponding to the highest value of the real-time speed average value accessed in each time interval as a high-speed time interval Tgij, i =1.. n, j =1.. 24; tgij represents this time period j-1 to j; and marking the corresponding intelligent terminal as Zzi, i =1.. n; and marking the access real-time speed average value for the corresponding high-speed period Tgi as Vsij, i =1.. n, j =1.. 24; vsij, Tgij and Zzi are in one-to-one correspondence; namely Tg12 represents that the average value of the access real-time speed of the intelligent terminal Zz1 at 1-2 points is Vs 12;
step four: distributing the network speed to all intelligent terminals in the speed stabilizing area Zwi, the normal area Zci and the fluctuation area Zbi;
step five: detecting the time interval of the current time point in real time;
step six: when the time is in the high-speed period Tgij, setting the corresponding Zzi network access real-time speed upper limit as Vsij plus a correction value X4, wherein X4 is a preset value, and Vsij + X4 is not more than Vf; then, distributing the speed of the rest intelligent terminals;
SS 1: when Vf- (Vsij + X5) =0, network access of the other remaining intelligent terminals is interrupted;
SS 2: when Vf- (Vsij + X5) - (Vwj + Vy 1) × K ≧ 0, limiting the real-time speed of network access of the intelligent terminal in the speed stabilizing zone Zwi to Vwp = Vwj; k is the number of the intelligent terminals in the stable speed area; the upper limit of the network access speed of the rest intelligent terminals is the sum of Vf minus Vsij + X5 and Vwp;
in the step SS2, when the real-time network access speed of the intelligent terminal in the speed stabilizing area Zwi reaches Vwj and is kept at or above the preset time, the upper limit of the real-time network access speed of the intelligent terminal in the speed stabilizing area Zwi is set to Vwp = Vwj + Vy 1; when the real-time network access speed of the intelligent terminal in the speed stabilizing area Zwi does not reach Vwj within the preset time, the upper limit of the real-time network access speed of the intelligent terminal in the speed stabilizing area Zwi is set to Vwp = Vwj-Vy 1.
4. The WIFI traffic distribution system based on big data analysis according to claim 1, wherein the rate distribution module is configured to transmit the upper limit of the network access real-time speed of the corresponding intelligent terminal to the controller, and the controller is configured to transmit the upper limit of the network access real-time speed of the corresponding intelligent terminal to the display module for real-time display; and the controller is used for transmitting the real-time upper speed limit of the network access of the corresponding intelligent terminal to the storage module for real-time storage.
5. A big data analysis-based WIFI traffic distribution system according to claim 1, wherein the data access unit is used to transmit specific values of Vy1, X1, X2, X3 and X4 to the controller; the controller will replace the original values when receiving new specific values of Vy1 and X4; the controller is used for transmitting specific values of X1, X2 and X3 to the data following unit, and the data following unit is used for transmitting specific values of X1 to the data temporary storage module;
the data following unit replaces the specific values of X2 and X3 with the original values when receiving the values; the data-dwelling module will replace the specific value of X1 when it receives it.
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