CN105336023A - Access control system used for parking lot - Google Patents

Abstract

The invention discloses an access control system which has relatively high intellectualization degree and relatively low cost, can achieve rapid detection as well as interaction and certification and is used for a parking lot. The access control system includes a barrier gate located at an entrance of the parking lot and a controller for controlling the barrier gate; the access control system also includes a server, a road test unit and a mobile phone client; the road test unit includes a WiFi module and an iBeacon transmitting module; the mobile phone client has an iBeacon receiving module and a WiFi communication module. The access control system has relatively high intellectualization degree, at the same time, a user does not need to has any accessories and hardware added, and the use cost of the user is reduced; secondly, the system can achieve fast detection as well as interaction and certification, and has the advantages of high positioning accuracy, high certification passing rate and low false detection probability; and in addition, the system has high security, can guarantee safe detection, enables only authorized vehicles to pass through and is suitable for popularization and application in the field of access control system.

Description

For the gate control system in parking lot

Technical field

The present invention relates to gate control system technology, especially a kind of gate control system for parking lot.

Background technology

Along with the increase of automobile pollution, the residential quarter of present construction, markets etc. are all equipped with parking lot, the entrance in parking lot is all provided with gate control system, current parking lot gate control system is all need brush badge, after brush badge, gate control system just can be opened, intelligence degree is lower, vehicle is made to enter parking lot, troublesome poeration, turnover Negotiation speed is slow, when peak on and off duty, easy formation waiting list, cause the congestion in road of doorway, parking lot periphery, and driver needs to carry with badge, badge is easily caused to lose, the vehicle of resident is made to enter parking lot, cause trouble.

Summary of the invention

Technical matters to be solved by this invention is to provide that a kind of intelligence degree is higher, cost is lower and can realizes detecting fast and the gate control system for parking lot that is mutual and certification.

The technical solution adopted for the present invention to solve the technical problems is: this is used for the gate control system in parking lot, comprise the banister that is positioned at Entrance and the controller for controlling banister, also comprise server, drive test unit and cell-phone customer terminal, described controller is connected with server, described drive test unit is arranged on the both sides of Entrance road, described drive test unit comprises WiFi module and iBeacon transmitter module, and described cell-phone customer terminal has iBeacon receiver module and WiFi communication module;

Described WiFi module periodically sends SSID, whether the WiFi communication module of described cell-phone customer terminal periodically detects an AP list appointment SSID, if WiFi communication module detects that AP list contains the SSID specified, now WiFi communication module sends instruction to iBeacon receiver module startup iBeacon receiver module, iBeacon receiver module detect in real time iBeacon transmitter module send Bluetooth signal RSSI value and by WiFi communication module forwards to server, server calculates the distance between cell-phone customer terminal and drive test unit according to the RSSI value received, when distance between cell-phone customer terminal and drive test unit reaches preset value, server sends instruction controls gate opening and closing to controller.

Further, described server adopts the distance between following account form calculating cell-phone customer terminal and drive test unit according to the RSSI value received, and concrete account form is as described below:

A, to the RSSI value Y receiving i-th moment _icarry out Gaussian filtering process to obtain i=0,1 ... n-1;

B, general carry out Savitzky-Golay filtering process to obtain

C, employing maxmin criterion pair carry out the y judging to obtain i-th moment _i, namely set threshold probability value M, will value brings the probability density function of RSSI value into wherein μ=-69.977, σ=2.14625, obtain the probable value f that value occurs _i, work as f _iwhen being greater than M, work as f _iwhen being less than M, y _i=y _i-1;

D, by y _ivalue brings the distance that following formula obtains between i-th moment cell-phone customer terminal and drive test unit into, and concrete formula is as follows:

d _i＝a ₀+a ₁cos(y _i*ω)+b ₁sin(y _i*ω)+a ₂cos(2*y _i*ω)+b ₂sin(2*y _i*ω)

Wherein a ₀, a ₁, a ₂, b ₁, b ₂, ω is a in the parameter value in the i-th moment, the i-th moment ₀, a ₁, a ₂, b ₁, b ₂, ω parameter value adopts following account form to draw:

Setting a ₀, a ₁, a ₂, b ₁, b ₂, the initial value of ω is a ₀=6.014, a ₁=7.005, a ₂=1.738, b ₁=1.551, b ₂=0.1173, ω=0.02727;

By a that the i-th-1 moment obtained ₁, a ₂, b ₁, b ₂, ω, y _i-1, d _i-1substitute in following equation, solve a obtaining for the i-th moment ₀, described equation is as described below:

$-2{\mathrm{\Σ}}_{i=0}^{n-1}(d_i-a_0+a_{1}cos(y_i*\mathrm{\ω})+b_{1}sin(y_i*\mathrm{\ω})+a_{2}cos(2*y_i*\mathrm{\ω})+b_{2}sin(2*y_i*\mathrm{\ω}))=0;$

By a that the i-th-1 moment obtained ₀, a ₂, b ₁, b ₂, ω, y _i-1, d _i-1substitute in following equation, solve a obtaining for the i-th moment ₁, described equation is as described below:

$2{\mathrm{\Σ}}_{i=0}^{n-1}sin(y_i*\mathrm{\ω})(d_i-a_0+a_{1}cos(y_i*\mathrm{\ω})+b_{1}sin(y_i*\mathrm{\ω})+a_{2}cos(2*y_i*\mathrm{\ω})+b_{2}sin(2*y_i*\mathrm{\ω}))=0$

By a that the i-th-1 moment obtained ₀, a ₁, a ₂, b ₂, ω, y _i-1, d _i-1substitute in following equation, solve the b obtaining for the i-th moment ₁, described equation is as described below:

$2{\mathrm{\Σ}}_{i=0}^{n-1}\cos (y_i*\mathrm{\ω})(d_i-a_0+a_{1}cos(y_i*\mathrm{\ω})+b_{1}sin(y_i*\mathrm{\ω})+a_{2}cos(2*y_i*\mathrm{\ω})+b_{2}sin(2*y_i*\mathrm{\ω}))=0$

By a that the i-th-1 moment obtained ₀, a ₁, b ₁, b ₂, ω, y _i-1, d _i-1substitute in following equation, solve a obtaining for the i-th moment ₂, described equation is as described below:

$2{\mathrm{\Σ}}_{i=0}^{n-1}sin(2*y_i*\mathrm{\ω})(d_i-a_0+a_{1}cos(y_i*\mathrm{\ω})+b_{1}sin(y_i*\mathrm{\ω})+a_{2}cos(2*y_i*\mathrm{\ω})+b_{2}sin(2*y_i*\mathrm{\ω}))=0$

By a that the i-th-1 moment obtained ₀, a ₁, a ₂, b ₁, ω, y _i-1, d _i-1substitute in following equation, solve the b obtaining for the i-th moment ₂, described equation is as described below:

$2{\mathrm{\Σ}}_{i=0}^{n-1}\cos (2*y_i*\mathrm{\ω})(d_i-a_0+a_{1}cos(y_i*\mathrm{\ω})+b_{1}sin(y_i*\mathrm{\ω})+a_{2}cos(2*y_i*\mathrm{\ω})+b_{2}sin(2*y_i*\mathrm{\ω}))=0$

By a that the i-th-1 moment obtained ₀, a ₁, a ₂, b ₁, b ₂, y _i-1, d _i-1substitute in following equation, solve the ω obtaining for the i-th moment, described equation is as described below:

$2{\mathrm{\Σ}}_{i=0}^{n-1}(d_i-a_0+a_{1}cos(y_i*\mathrm{\ω})+b_{1}sin(y_i*\mathrm{\ω})+2y_i{a}_2\sin (2*y_i*\mathrm{\ω})+2y_i{b}_2\cos (2*y_i*\mathrm{\ω}))=0.$

Further, to the RSSI value Y in i-th moment received _ithe detailed process of carrying out Gaussian filtering process is as follows: by Y _ibring following formula into try to achieve described formula is as follows:

${\stackrel{\‾}{Y}}_i=\underset{-\frac{N-1}{2}}{\overset{\frac{N-1}{2}}{\Σ}}{Y}_i{e}^{-\frac{1}{2}\left(\mathrm{\α}\frac{i}{N/2}\right)}$

Wherein, α is the derivative of Gaussian random number standard deviation, and N is constant.

Further, described N=5.

Further, will carry out Savitzky-Golay filtering process to obtain detailed process as follows: will bring following formula into try to achieve described formula is as follows:

$\stackrel{\‾}{y_i}=\frac{1}{35}(-3{\stackrel{\‾}{Y}}_{i-2}+12{\stackrel{\‾}{Y}}_{i-1}+17{\stackrel{\‾}{Y}}_i+12{\stackrel{\‾}{Y}}_{i+1}-3{\stackrel{\‾}{Y}}_{i+2}).$

Further, described threshold probability value M is 0.15.

Beneficial effect of the present invention: this is used for the gate control system in parking lot operationally, WiFi module periodically sends SSID, whether the WiFi communication module of the cell-phone customer terminal that driver carries at any time periodically detects an AP list appointment SSID, if WiFi communication module detects that AP list contains the SSID specified, then represent that cell-phone customer terminal enters Entrance region, because cell-phone customer terminal is carried at any time by driver, also just represent that vehicle enters Entrance region, now WiFi communication module sends instruction to iBeacon receiver module startup iBeacon receiver module, iBeacon receiver module detect in real time iBeacon transmitter module send Bluetooth signal RSSI value and by WiFi communication module forwards to server, server calculates the distance between cell-phone customer terminal and drive test unit according to the RSSI value received, when distance between cell-phone customer terminal and drive test unit reaches preset value, server sends instruction controls gate opening and closing to controller, vehicle just can pass in and out parking lot, whole process completes automatically, driver is without the need to any operation, its intelligence degree improves greatly, simultaneously, because existing mobile phone all has iBeacon receiver module and WiFi communication module, therefore, only on existing mobile phone, a control software design need be installed, user is without the need to increasing any accessory hardware, this reduces the use cost of user, be easy to promote, secondly, this gate control system being used for parking lot adopts iBeacon to realize location, WiFi realizes data transmission, the two does not interfere with each other, because the positioning precision of iBeacon is high, the transfer rate of WiFi communication is high, make whole system can realize detecting fast and mutual and certification, and positioning precision is high, certification percent of pass is high, probability of false detection is low, in addition, this system has tight security, safety detection can be ensured, only have vehicle through authorizing just by.

Accompanying drawing explanation

Fig. 1 is the logical organization block diagram of the gate control system for parking lot of the present invention;

Fig. 2 is through Gaussian filtering and the later RSSI design sketch of Savitzky-Golay filtering;

Fig. 3 is the RSSI design sketch after adopting maxmin criterion to judge;

Fig. 4 is the distance between cell-phone customer terminal and drive test unit that obtains according to computing method of the present invention and the distance effect contrast figure between the cell-phone customer terminal adopting classic method to calculate and drive test unit.

Embodiment

Below in conjunction with accompanying drawing, the present invention is described in detail

As shown in Figure 1, gate control system for parking lot of the present invention comprises the banister that is positioned at Entrance and the controller for controlling banister, also comprise server, drive test unit and cell-phone customer terminal, described controller is connected with server, described drive test unit is arranged on the both sides of Entrance road, described drive test unit comprises WiFi module and iBeacon transmitter module, and described cell-phone customer terminal has iBeacon receiver module and WiFi communication module, described WiFi module periodically sends SSID, whether the WiFi communication module of described cell-phone customer terminal periodically detects an AP list appointment SSID, if WiFi communication module detects that AP list contains the SSID specified, now WiFi communication module sends instruction to iBeacon receiver module startup iBeacon receiver module, iBeacon receiver module detect in real time iBeacon transmitter module send Bluetooth signal RSSI value and by WiFi communication module forwards to server, server calculates the distance between cell-phone customer terminal and drive test unit according to the RSSI value received, when distance between cell-phone customer terminal and drive test unit reaches preset value, server sends instruction controls gate opening and closing to controller.This is used for the gate control system in parking lot operationally, WiFi module periodically sends SSID, whether the WiFi communication module of the cell-phone customer terminal that driver carries at any time periodically detects an AP list appointment SSID, if WiFi communication module detects that AP list contains the SSID specified, then represent that cell-phone customer terminal enters Entrance region, because cell-phone customer terminal is carried at any time by driver, also just represent that vehicle enters Entrance region, now WiFi communication module sends instruction to iBeacon receiver module startup iBeacon receiver module, iBeacon receiver module detect in real time iBeacon transmitter module send Bluetooth signal RSSI value and by WiFi communication module forwards to server, server calculates the distance between cell-phone customer terminal and drive test unit according to the RSSI value received, when distance between cell-phone customer terminal and drive test unit reaches preset value, server sends instruction controls gate opening and closing to controller, vehicle just can pass in and out parking lot, whole process completes automatically, driver is without the need to any operation, its intelligence degree improves greatly, simultaneously, because existing mobile phone all has iBeacon receiver module and WiFi communication module, therefore, only on existing mobile phone, a control software design need be installed, user is without the need to increasing any accessory hardware, this reduces the use cost of user, be easy to promote, secondly, this gate control system being used for parking lot adopts iBeacon to realize location, WiFi realizes data transmission, the two does not interfere with each other, because the positioning precision of iBeacon is high, the transfer rate of WiFi communication is high, make whole system can realize detecting fast and mutual and certification, and positioning precision is high, certification percent of pass is high, probability of false detection is low, in addition, this system has tight security, safety detection can be ensured, only have vehicle through authorizing just by.

The distance that server calculates between cell-phone customer terminal and drive test unit according to the RSSI value received can adopt various ways, such as signal large scale decline in space can be utilized to carry out the matching of distance.From theoretical and actual measurement, if adopt free space model (freespacemodel), average received signal power RSSI value is the increase along with distance, declines in logarithm.Free space model can represent with Friisfreespaceequation:

$P_T\left(d\right)=\frac{P_t{G}_t{G}_T{\mathrm{\λ}}^2}{{\left(4\mathrm{\π}\right)}^2{d}^2\mathrm{\γ}}$

Wherein G _t, G _rwhat represent is the gain of antenna, and λ is the wavelength of signal, and γ is the power P of the fading factor of wireless environment, Received signal strength _rd () is the function of distance d.This model of further simplification, rewrites above formula, obtains new formula:

$P_T\left(d\right)dBm=10log\[\frac{P_T\left(d_0\right)}{0.001W}\]+10\mathrm{\γ}log\left(\frac{d_0}{d}\right)$

Wherein d>=d ₀>=d _f, here the far field distance (being decided by the linear dimension of antenna and wavelength) referred to.

Then the distance directly adopting RSSI value to substitute into above-mentioned formula can to obtain between cell-phone customer terminal and drive test unit.

Although this mode of carrying out distance exam based on large scale decline Large-scalefading can calculate the distance between cell-phone customer terminal and drive test unit, but the scene considered due to randomness and this system of channel is mobile object scene, so inevitably multipath fading Small-scalefading brings very large shake, location can be caused inaccurate, simultaneously, traditional free space model can not mate completely for Mobile solution scene, it is not accurate enough for carrying out based on large scale decline Large-scalefading the distance value that distance exam obtains, so locate inaccurate.

The invention provides a kind of computing method of accurate positioning, namely described server adopts following account form to calculate distance between cell-phone customer terminal and drive test unit according to the RSSI value received, and concrete account form is as described below:

To the RSSI value Y receiving i-th moment _icarry out Gaussian filtering process to obtain , i=0,1 ... n-1, to the RSSI value Y in i-th moment received _ithe detailed process of carrying out Gaussian filtering process is as follows: by Y _ibring following formula into try to achieve , described formula is as follows:

${\stackrel{\‾}{Y}}_i=\underset{-\frac{N-1}{2}}{\overset{\frac{N-1}{2}}{\Σ}}{Y}_i{e}^{-\frac{1}{2}\left(\mathrm{\α}\frac{i}{N/2}\right)}$

Wherein, α is the derivative of Gaussian random number standard deviation, and N is constant;

Further, in order to ensure filter effect, described N is preferably 5;

Because Gaussian filtering also exists the problem of a very serious overfitting, therefore utilize another filtering to eliminate the problem of this overfitting; Be about to carry out Savitzky-Golay filtering process to obtain utilize Savitzky-Golay filtering can eliminate the problem of above-mentioned overfitting, will carry out Savitzky-Golay filtering process to obtain detailed process as follows: will bring following formula into try to achieve described formula is as follows:

$\stackrel{\‾}{y_i}=\frac{1}{35}(-3{\stackrel{\‾}{Y}}_{i-2}+12{\stackrel{\‾}{Y}}_{i-1}+17{\stackrel{\‾}{Y}}_i+12{\stackrel{\‾}{Y}}_{i+1}-3{\stackrel{\‾}{Y}}_{i+2}),$ Savitzky-Golay filtering can well the shake that produces of stress release treatment; As shown in Figure 2, the RSSI design sketch of Fig. 2 after Gaussian filtering and Savitzky-Golay filtering, as can be seen from the figure RSSI value still also exists very serious jitter problem; In order to solve the serious problem of shake, following steps are adopted to process RSSI value, specific as follows: to adopt maxmin criterion pair carry out the y judging to obtain i-th moment _i, namely set threshold probability value M, will value brings the probability density function of RSSI value into wherein μ=-69.977, σ=2.14625, obtain the probable value f that value occurs _i, work as f _iwhen being greater than M, work as f _iwhen being less than M, y _i=y _i-1; In order to ensure to obtain level and smooth continuous print RSSI value, described threshold probability value M is preferably 0.15, as shown in Figure 3, Fig. 3 is the RSSI design sketch after adopting maxmin criterion to judge, as can be seen from the figure, RSSI value is smoothly continuous, does not occur serious jitter problem again; Finally, by y _ivalue brings the distance that following formula obtains between i-th moment cell-phone customer terminal and drive test unit into, and concrete formula is as follows:

d _i＝a ₀+a ₁cos(y _i*ω)+b ₁sin(y _i*ω)+a ₂cos(2*y _i*ω)+b ₂sin(2*y _i*ω)

Wherein a ₀, a ₁, a ₂, b ₁, b ₂, ω is a in the parameter value in the i-th moment, the i-th moment ₀, a ₁, a ₂, b ₁, b ₂, ω parameter value adopts following account form to draw:

Setting a ₀, a ₁, a ₂, b ₁, b ₂, the initial value of ω is a ₀=6.014, a ₁=7.005, a ₂=1.738, b ₁=1.551, b ₂=0.1173, ω=0.02727;

By a that the i-th-1 moment obtained ₁, a ₂, b ₁, b ₂, ω, y _i-1, d _i-1substitute in following equation, solve a obtaining for the i-th moment ₀, described equation is as described below:

$-2{\mathrm{\Σ}}_{i=0}^{n-1}(d_i-a_0+a_{1}cos(y_i*\mathrm{\ω})+b_{1}sin(y_i*\mathrm{\ω})+a_{2}cos(2*y_i*\mathrm{\ω})+b_{2}sin(2*y_i*\mathrm{\ω}))=0;$

By a that the i-th-1 moment obtained ₀, a ₂, b ₁, b ₂, ω, y _i-1, d _i-1substitute in following equation, solve and obtain i-th

The a in moment ₁, described equation is as described below:

$2{\mathrm{\Σ}}_{i=0}^{n-1}sin(y_i*\mathrm{\ω})(d_i-a_0+a_{1}cos(y_i*\mathrm{\ω})+b_{1}sin(y_i*\mathrm{\ω})+a_{2}cos(2*y_i*\mathrm{\ω})+b_{2}sin(2*y_i*\mathrm{\ω}))=0$

By a that the i-th-1 moment obtained ₀, a ₁, a ₂, b ₂, ω, y _i-1, d _i-1substitute in following equation, solve the b obtaining for the i-th moment ₁, described equation is as described below:

$2{\mathrm{\Σ}}_{i=0}^{n-1}\cos (y_i*\mathrm{\ω})(d_i-a_0+a_{1}cos(y_i*\mathrm{\ω})+b_{1}sin(y_i*\mathrm{\ω})+a_{2}cos(2*y_i*\mathrm{\ω})+b_{2}sin(2*y_i*\mathrm{\ω}))=0$

By a that the i-th-1 moment obtained ₀, a ₁, b ₁, b ₂, ω, y _i-1, d _i-1substitute in following equation, solve a obtaining for the i-th moment ₂, described equation is as described below:

$2{\mathrm{\Σ}}_{i=0}^{n-1}sin(2*y_i*\mathrm{\ω})(d_i-a_0+a_{1}cos(y_i*\mathrm{\ω})+b_{1}sin(y_i*\mathrm{\ω})+a_{2}cos(2*y_i*\mathrm{\ω})+b_{2}sin(2*y_i*\mathrm{\ω}))=0$

By a that the i-th-1 moment obtained ₀, a ₁, a ₂, b ₁, ω, y _i-1, d _i-1substitute in following equation, solve the b obtaining for the i-th moment ₂, described equation is as described below:

$2{\mathrm{\Σ}}_{i=0}^{n-1}\cos (2y_i*\mathrm{\ω})(d_i-a_0+a_{1}cos(y_i*\mathrm{\ω})+b_{1}sin(y_i*\mathrm{\ω})+a_{2}cos(2*y_i*\mathrm{\ω})+b_{2}sin(2*y_i*\mathrm{\ω}))=0$

By a that the i-th-1 moment obtained ₀, a ₁, a ₂, b ₁, b ₂, y _i-1, d _i-1substitute in following equation, solve the ω obtaining for the i-th moment, described equation is as described below:

$2{\mathrm{\Σ}}_{i=0}^{n-1}(d_i-a_0+a_{1}cos(y_i*\mathrm{\ω})+b_{1}sin(y_i*\mathrm{\ω})+2y_i{a}_2\sin (2*y_i*\mathrm{\ω})+2y_i{b}_2\cos (2*y_i*\mathrm{\ω}))=0.$ As shown in Figure 4, Fig. 4 is the distance between cell-phone customer terminal and drive test unit that obtains according to computing method of the present invention and the distance effect contrast figure between the cell-phone customer terminal adopting classic method to calculate and drive test unit, in figure, that root curve is below the distance between cell-phone customer terminal and drive test unit obtained according to computing method of the present invention, that root curve is above the distance between cell-phone customer terminal and drive test unit adopting classic method to calculate, straight line in figure is the actual distance between the cell-phone customer terminal that obtains of actual observation and drive test unit, as can be seen from the figure, the amplitude that distance between the cell-phone customer terminal obtained according to computing method of the present invention and drive test unit departs from actual distance is less, its good positioning effect, and the amplitude that the distance between the cell-phone customer terminal that foundation classic method calculates and drive test unit departs from actual distance is comparatively large far away, locating effect is poor.

For a in the i-th moment ₀, a ₁, a ₂, b ₁, b ₂, ω parameter value can also adopt following account form to draw:

Setting a ₀, a ₁, a ₂, b ₁, b ₂, the initial value of ω is a ₀=6.014, a ₁=7.005, a ₂=1.738, b ₁=1.551, b ₂=0.1173, ω=0.02727; By the y that the i-th-1 moment obtained _i-1with d _i-1substitute into respectively in following six equations, solving equation group obtains a in the i-th moment ₀, a ₁, a ₂, b ₁, b ₂, ω, described equation is as described below:

$-2{\mathrm{\Σ}}_{i=0}^{n-1}(d_i-a_0+a_{1}cos(y_i*\mathrm{\ω})+b_{1}sin(y_i*\mathrm{\ω})+a_{2}cos(2*y_i*\mathrm{\ω})+b_{2}sin(2*y_i*\mathrm{\ω}))=0$

$2{\mathrm{\Σ}}_{i=0}^{n-1}sin(y_i*\mathrm{\ω})(d_i-a_0+a_{1}cos(y_i*\mathrm{\ω})+b_{1}sin(y_i*\mathrm{\ω})+a_{2}cos(2*y_i*\mathrm{\ω})+b_{2}sin(2*y_i*\mathrm{\ω}))=0$

$2{\mathrm{\Σ}}_{i=0}^{n-1}\cos (y_i*\mathrm{\ω})(d_i-a_0+a_{1}cos(y_i*\mathrm{\ω})+b_{1}sin(y_i*\mathrm{\ω})+a_{2}cos(2*y_i*\mathrm{\ω})+b_{2}sin(2*y_i*\mathrm{\ω}))=0$

$2{\mathrm{\Σ}}_{i=0}^{n-1}sin(2*y_i*\mathrm{\ω})(d_i-a_0+a_{1}cos(y_i*\mathrm{\ω})+b_{1}sin(y_i*\mathrm{\ω})+a_{2}cos(2*y_i*\mathrm{\ω})+b_{2}sin(2*y_i*\mathrm{\ω}))=0$

$2{\mathrm{\Σ}}_{i=0}^{n-1}\cos (2*y_i*\mathrm{\ω})(d_i-a_0+a_{1}cos(y_i*\mathrm{\ω})+b_{1}sin(y_i*\mathrm{\ω})+a_{2}cos(2*y_i*\mathrm{\ω})+b_{2}sin(2*y_i*\mathrm{\ω}))=0$

$2{\mathrm{\Σ}}_{i=0}^{n-1}(d_i-a_0+a_{1}cos(y_i*\mathrm{\ω})+b_{1}sin(y_i*\mathrm{\ω})+2y_i{a}_2\sin (2*y_i*\mathrm{\ω})+2y_i{b}_2\cos (2*y_i*\mathrm{\ω}))=0.$

Claims (6)

1. for the gate control system in parking lot, comprise the banister that is positioned at Entrance and the controller for controlling banister, it is characterized in that: also comprise server, drive test unit and cell-phone customer terminal, described controller is connected with server, described drive test unit is arranged on the both sides of Entrance road, described drive test unit comprises WiFi module and iBeacon transmitter module, and described cell-phone customer terminal has iBeacon receiver module and WiFi communication module;

Described WiFi module periodically sends SSID, whether the WiFi communication module of described cell-phone customer terminal periodically detects an AP list appointment SSID, if WiFi communication module detects that AP list contains the SSID specified, now WiFi communication module sends instruction to iBeacon receiver module startup iBeacon receiver module, iBeacon receiver module detect in real time iBeacon transmitter module send Bluetooth signal RSSI value and by WiFi communication module forwards to server, server calculates the distance between cell-phone customer terminal and drive test unit according to the RSSI value received, when distance between cell-phone customer terminal and drive test unit reaches preset value, server sends instruction controls gate opening and closing to controller.

2. the gate control system for parking lot according to claim 1, is characterized in that: described server adopts the distance between following account form calculating cell-phone customer terminal and drive test unit according to the RSSI value received, and concrete account form is as described below:

A, to the RSSI value Y receiving i-th moment _icarry out Gaussian filtering process to obtain i=0,1 ... n-1;

B, general carry out Savitzky-Golay filtering process to obtain

C, employing maxmin criterion pair carry out the y judging to obtain i-th moment _i, namely set threshold probability value M, will value brings the probability density function of RSSI value into wherein μ=-69.977, σ=2.14625, obtain the probable value f that value occurs _i, work as f _iwhen being greater than M, work as f _iwhen being less than M, y _i=y _i-1;

D, by y _ivalue brings the distance that following formula obtains between i-th moment cell-phone customer terminal and drive test unit into, and concrete formula is as follows:

d _i＝a ₀+a ₁cos(y _i*ω)+b ₁sin(y _i*ω)+a ₂cos(2*y _i*ω)+b ₂sin(2*y _i*ω)

Wherein a ₀, a ₁, a ₂, b ₁, b ₂, ω is a in the parameter value in the i-th moment, the i-th moment ₀, a ₁, a ₂, b ₁, b ₂, ω parameter value adopts following account form to draw:

Setting a ₀, a ₁, a ₂, b ₁, b ₂, the initial value of ω is a ₀=6.014, a ₁=7.005, a ₂=1.738, b ₁=1.551, b ₂=0.1173, ω=0.02727;

By a that the i-th-1 moment obtained ₁, a ₂, b ₁, b ₂, ω, y _i-1, d _i-1substitute in following equation, solve a obtaining for the i-th moment ₀, described equation is as described below:

$-2{\mathrm{\Σ}}_{i=0}^{n-1}(d_i-a_0+a_{1}cos(y_i*\mathrm{\ω})+b_{1}sin(y_i*\mathrm{\ω})+a_2\cos (2*y_i*\mathrm{\ω})+b_2\sin (2*y_i*\mathrm{\ω}\left)\right)=0;$

By a that the i-th-1 moment obtained ₀, a ₂, b ₁, b ₂, ω, y _i-1, d _i-1substitute in following equation, solve a obtaining for the i-th moment ₁, described equation is as described below:

$2{\mathrm{\Σ}}_{i=0}^{n-1}sin(y_i*\mathrm{\ω})(d_i-a_0+a_{1}cos(y_i*\mathrm{\ω})+b_{1}sin(y_i*\mathrm{\ω})+a_{2}cos(2*y_i*\mathrm{\ω})+b_{2}sin(2*y_i*\mathrm{\ω}\left)\right)=0$

By a that the i-th-1 moment obtained ₀, a ₁, a ₂, b ₂, ω, y _i-1, d _i-1substitute in following equation, solve the b obtaining for the i-th moment ₁, described equation is as described below:

$2{\mathrm{\Σ}}_{i=0}^{n-1}\cos (y_i*\mathrm{\ω})(d_i-a_0+a_{1}cos(y_i*\mathrm{\ω})+b_{1}sin(y_i*\mathrm{\ω})+a_{2}cos(2*y_i*\mathrm{\ω})-b_{2}sin(2*y_i*\mathrm{\ω}\left)\right)=0$

By a that the i-th-1 moment obtained ₀, a ₁, b ₁, b ₂, ω, y _i-1, d _i-1substitute in following equation, solve a obtaining for the i-th moment ₂, described equation is as described below:

$2{\mathrm{\Σ}}_{i=0}^{n-1}sin(2*y_i*\mathrm{\ω})(d_i-a_0+a_{1}cos(y_i*\mathrm{\ω})+b_{1}sin(y_i*\mathrm{\ω})+a_{2}cos(2*y_i*\mathrm{\ω})+b_{2}sin(2*y_i*\mathrm{\ω}\left)\right)=0$

By a that the i-th-1 moment obtained ₀, a ₁, a ₂, b ₁, ω, y _i-1, d _i-1substitute in following equation, solve the b obtaining for the i-th moment ₂, described equation is as described below:

$2{\mathrm{\Σ}}_{i=0}^{n-1}\cos (2*y_i*\mathrm{\ω})(d_i-a_0+a_{1}cos(y_i*\mathrm{\ω})+b_{1}sin(y_i*\mathrm{\ω})+a_{2}cos(2*y_i*\mathrm{\ω})+b_{2}sin(2*y_i*\mathrm{\ω}\left)\right)=0$

By a that the i-th-1 moment obtained ₀, a ₁, a ₂, b ₁, b ₂, y _i-1, d _i-1substitute in following equation, solve the ω obtaining for the i-th moment, described equation is as described below:

$2{\mathrm{\Σ}}_{i=0}^{n-1}(d_i-a_0+a_{1}cos(y_i*\mathrm{\ω})+b_{1}sin(y_i*\mathrm{\ω})+2y_i{a}_2\sin (2*y_i*\mathrm{\ω})+2y_i{b}_2\cos (2*y_i*\mathrm{\ω}\left)\right)=0.$

3., as claimed in claim 2 for the gate control system in parking lot, it is characterized in that: to the RSSI value Y in i-th moment received _ithe detailed process of carrying out Gaussian filtering process is as follows: by Y _ibring following formula into try to achieve , described formula is as follows:

$\stackrel{\‾}{Y_i}=\underset{-\frac{N-1}{2}}{\overset{\frac{N-1}{2}}{\Σ}}{Y}_i{e}^{-\frac{1}{2}\left(\mathrm{\α}\frac{i}{N/2}\right)}$

Wherein, α is the derivative of Gaussian random number standard deviation, and N is constant.

4. the gate control system for parking lot according to claim 3, is characterized in that: described N=5.

5. the gate control system for parking lot according to claim 4, is characterized in that: will carry out Savitzky-Golay filtering process to obtain detailed process as follows: will bring following formula into try to achieve described formula is as follows:

$\stackrel{\‾}{y_i}=\frac{1}{35}(-3{\stackrel{\‾}{Y}}_{i-2}+12{\stackrel{\‾}{Y}}_{i-1}+17{\stackrel{\‾}{Y}}_i+12{\stackrel{\‾}{Y}}_{i+1}-3{\stackrel{\‾}{Y}}_{i+2}).$

6. the gate control system for parking lot according to claim 5, is characterized in that: described threshold probability value M is 0.15.