CN105672170A - Intelligent zebra stripe guardrail for high-latitude highway - Google Patents

Abstract

The invention provides an intelligent zebra stripe guardrail for a high-latitude highway. The intelligent zebra stripe guardrail for the high-latitude highway comprises a zebra stripe guardrail body and a rapid wind speed simulating device, wherein the guardrail body is composed of cross bars and vertical bars, and the rapid wind speed and time mileage simulating device is installed on the zebra stripe guardrail body. The rapid wind speed and time mileage simulating device comprises a structure parameter monitoring module, an average wind speed calculation module, pulse wind speed simulating modules on all simulation points, a wind speed calculation module and a wind speed simulating and displaying module. The average wind speed calculation module, the pulse wind speed simulating modules on all the simulation points and the wind speed calculation module conduct calculation based on monitoring numerical values of the monitoring module, and the obtained wind speed are displayed through the wind speed simulating and displaying module. According to the intelligent zebra stripe guardrail for the high-latitude highway, the wind speed can be simulated rapidly; and in addition, the simulation calculation workload is small, the efficiency is high, and the accuracy is high.

Description

A kind of intelligent zebra stripes guardrail for high latitude highway

Technical field

The present invention relates to zebra stripes Guardrail design field, it is specifically related to a kind of intelligent zebra stripes guardrail for high latitude highway.

Background technology

In correlation technique, the zebra stripes guardrail being placed in high latitude highway is than the impact being easier to be subject to wind. Installing wind analog device on zebra stripes guardrail, it is possible to the wind vibration response characteristic of monitoring zebra stripes guardrail position, maintenance personnel can by wind analog device to the effective monitoring of high latitude highway implementation.

Summary of the invention

For the problems referred to above, the present invention provides a kind of intelligent zebra stripes guardrail for high latitude highway having installed the quick simulator of wind speed time-histories.

The object of the present invention realizes by the following technical solutions:

For an intelligent zebra stripes guardrail for high latitude highway, comprising the zebra stripes guardrail body being made up of horizontal hurdle and perpendicular hurdle and be arranged on the quick simulator of wind speed time-histories of zebra stripes guardrail body, described quick simulator comprises:

(1) structural parameter monitoring modular, along the height direction on described perpendicular hurdle, zebra stripes guardrail is divided the identical test layer in multiple interval, on described horizontal hurdle, medium position installs described data collector, select the simulation points of center position place as a wind speed time-histories of test layer, and lay described anemoscope and temperature sensor at the center position place of each test layer;

(2) mean wind speed calculates module, and it utilizes anemoscope to monitor out the wind speed total amount of every test layer, lateral angle and vertical wind speed, and getting 0.2s is sampling time interval, during the calculating of the wind speed that is averaged, introduces mean wind speed correction coefficient Q:

$Q=1-\left|\frac{\frac{6.38e^{-9}(\stackrel{\‾}{P}-0.378P_{wat})}{1+0.00366\stackrel{\‾}{T}}-F_b}{F_b}\right|$

Every test layer in the calculation formula of a mean wind speed adopting the time is:

$W_{\left(i\right)}=\frac{1}{N-2}{\{{\[\underset{i=1}{\overset{N}{\Σ}}\[w\left(i\right)\cos \left(\arcsin \right(\frac{w_z\left(i\right)}{w}\left)\right)\cos \mathrm{\θ}\left(i\right)\]-A\]}^2+{\[\underset{i=1}{\overset{N}{\Σ}}\[w\left(i\right)\cos \[\arcsin \left(\frac{w_z\left(i\right)}{w}\right)\]\sin \mathrm{\θ}\left(i\right)\]-B\]}^2\}}^{1/2}\×Q$

Wherein, A is maximum value and the mnm. sum of dividing value of wind speed total amount w in x direction, and B is maximum value and the mnm. sum that wind speed total amount w divides value in y direction,For local average gas pressure,For local medial temperature, P_watFor local average water vapour pressure, F_bFor the blast coefficient under standard state;

(3) fluctuating wind speed time series of each simulation points calculates module, comprises the pulsating wind power spectrum of the fluctuating wind speed time series generating described each simulation points, when carrying out the simulation of pulsating wind power spectrum, introduces temperature correction coefficientWherein T₀For the standard temperature of setting, T is the medial temperature value obtained by described temperature sensor Real-Time Monitoring, then

T≥T₀Time, the optimization formula of described pulsating wind power spectrum is:

$S_{\mathrm{\υ}}\left(g\right)=\frac{\mathrm{\λ}g}{1+{\left(\frac{1200g}{W_{\left(i\right)}}\right)}^{8/3}}\×(1-\sqrt{\left|\frac{T-T_0}{T}\right|})\×5.76\×{10}^6$

T<T₀Time, the optimization formula of described pulsating wind power spectrum is:

$S_{\mathrm{\&upsi;}}\left(\mathrm{\&rho;}\right)=\frac{\mathrm{\&lambda;}g}{1+{\left(\frac{1200g}{W_{\left(i\right)}}\right)}^{8/3}}\&times;(1+\sqrt{\left|\frac{T-T_0}{T}\right|})\&times;5.76\&times;{10}^6$

Wherein, λ is the terrain rough factor selected according to zebra stripes guard bar structure, and g is according to mean wind speed W_(i)The frequency chosen intercepts higher limit;

(4) wind speed time-histories calculates module, comprises microprocessor, and described microprocessor utilizes harmony superposition that the mean wind speed of identical position and fluctuating wind speed time series are carried out superposition, obtains the wind speed time-histories of each simulation points;

(5) wind speed simulation display module, comprises the isolation amplifier and digital display screen that connect successively, and the input terminus of described isolation amplifier is connected with described micro-letter treater.

Wherein, described frequency intercepts the scope of higher limit is 3hZ～5hZ.

Wherein, the setting range of described standard temperature value is 23 DEG C～27 DEG C.

The useful effect of the present invention is:

1, on the zebra stripes guardrail body being made up of horizontal hurdle and perpendicular hurdle, the quick simulator of wind speed time-histories has been installed, it has been convenient to the wind speed time-histories feature that maintenance personnel obtains zebra stripes guardrail place highway in time, thus high latitude highway has been carried out effective monitoring;

2, adopt anemoscope, temperature sensor and data collector to carry out monitoring and the collection of wind velocity history data, instead of conventional art artificial excitation and expensive exciting equipment, reduce cost, practical convenient;

3, described simulator is based on, on the basis of harmony superposition, being optimized the calculation formula of mean wind speed and fluctuating wind speed, decrease the workload of calculating, it is to increase the efficiency of the wind velocity history of zebra stripes guardrails;

4, introduce mean wind speed correction coefficient Q when calculating mean wind speed, introduce temperature correction coefficient K when calculating fluctuating wind speed time series so that the wind velocity history of zebra stripes guardrail is more accurate.

Accompanying drawing explanation

The invention will be further described to utilize accompanying drawing, but the embodiment in accompanying drawing does not form any limitation of the invention, for the those of ordinary skill of this area, under the prerequisite not paying creative work, it is also possible to obtain other accompanying drawing according to the following drawings.

Fig. 1 is the connection diagram of the wind speed time-histories each module of quick simulator of the present invention.

Reference numeral:

Structural parameter monitoring modular 1, mean wind speed calculate module 2, the fluctuating wind speed time series of each simulation points calculates module 3, wind speed time-histories calculates module 4, wind speed simulation display module 5.

Embodiment

The invention will be further described with the following Examples.

Embodiment one

See Fig. 1, the zebra stripes guardrail of the present embodiment comprises the zebra stripes guardrail body being made up of horizontal hurdle and perpendicular hurdle and is arranged on the quick simulator of wind speed time-histories of zebra stripes guardrail body, and described quick simulator comprises:

(1) structural parameter monitoring modular 1, it comprises anemoscope, temperature sensor and data collector, along the height direction on described perpendicular hurdle, zebra stripes guardrail is divided the identical test layer in multiple interval, on described horizontal hurdle, medium position installs described data collector, select the simulation points of center position place as a wind speed time-histories of test layer, and lay described anemoscope and temperature sensor at the center position place of each test layer;

(2) mean wind speed calculates module 2, and it utilizes anemoscope to monitor out the wind speed total amount of every test layer, lateral angle and vertical wind speed, and getting 0.2s is sampling time interval, during the calculating of the wind speed that is averaged, introduces mean wind speed correction coefficient Q:

$Q=1-\left|\frac{\frac{6.38e^{-9}(\stackrel{\&OverBar;}{P}-0.378P_{wat})}{1+0.00366\stackrel{\&OverBar;}{T}}-F_b}{F_b}\right|$

Every test layer in the calculation formula of a mean wind speed adopting the time is:

$W_{\left(i\right)}=\frac{1}{N-2}{\{{\&lsqb;\underset{i=1}{\overset{N}{\&Sigma;}}\&lsqb;w\left(i\right)\cos \left(\arcsin \right(\frac{w_z\left(i\right)}{w}\left)\right)\cos \mathrm{\&theta;}\left(i\right)\&rsqb;-A\&rsqb;}^2+{\&lsqb;\underset{i=1}{\overset{N}{\&Sigma;}}\&lsqb;w\left(i\right)\cos \&lsqb;\arcsin \left(\frac{w_z\left(i\right)}{w}\right)\&rsqb;\sin \mathrm{\&theta;}\left(i\right)\&rsqb;-B\&rsqb;}^2\}}^{1/2}\&times;Q$

Wherein, A is maximum value and the mnm. sum of dividing value of wind speed total amount w in x direction, and B is maximum value and the mnm. sum that wind speed total amount w divides value in y direction,For local average gas pressure,For local medial temperature, P_watFor local average water vapour pressure, F_bFor the blast coefficient under standard state;

(3) fluctuating wind speed time series of each simulation points calculates module 3, comprises the pulsating wind power spectrum of the fluctuating wind speed time series generating described each simulation points, when carrying out the simulation of pulsating wind power spectrum, introduces temperature correction coefficientWherein T₀For the standard temperature of setting, T is the medial temperature value obtained by described temperature sensor Real-Time Monitoring, then

T≥T₀Time, the optimization formula of described pulsating wind power spectrum is:

$S_{\mathrm{\&upsi;}}\left(g\right)=\frac{\mathrm{\&lambda;}g}{1+{\left(\frac{1200g}{W_{\left(i\right)}}\right)}^{8/3}}\&times;(1-\sqrt{\left|\frac{T-T_0}{T}\right|})\&times;5.76\&times;{10}^6$

T<T₀Time, the optimization formula of described pulsating wind power spectrum is:

$S_{\mathrm{\&upsi;}}\left(\mathrm{\&rho;}\right)=\frac{\mathrm{\&lambda;}g}{1+{\left(\frac{1200g}{W_{\left(i\right)}}\right)}^{8/3}}\&times;(1+\sqrt{\left|\frac{T-T_0}{T}\right|})\&times;5.76\&times;{10}^6$

Wherein, λ is the terrain rough factor selected according to zebra stripes guard bar structure, and g is according to mean wind speed W_(i)The frequency chosen intercepts higher limit;

(4) wind speed time-histories calculates module 4, comprises microprocessor, and described microprocessor utilizes harmony superposition that the mean wind speed of identical position and fluctuating wind speed time series are carried out superposition, obtains the wind speed time-histories of each simulation points;

(5) wind speed simulation display module 5, comprises the isolation amplifier and digital display screen that connect successively, and the input terminus of described isolation amplifier is connected with described micro-letter treater.

The zebra stripes guardrail of the present embodiment has installed the quick simulator of wind speed time-histories on the zebra stripes guardrail body being made up of horizontal hurdle and perpendicular hurdle, it is convenient to the wind speed time-histories feature that maintenance personnel obtains zebra stripes guardrail place highway in time, thus high latitude highway is carried out effective monitoring; Adopt anemoscope, temperature sensor and data collector to carry out monitoring and the collection of wind velocity history data, instead of conventional art artificial excitation and expensive exciting equipment, reduce cost, practical convenient; Described simulator, based on, on the basis of harmony superposition, the calculation formula of mean wind speed and fluctuating wind speed being optimized, decreases the workload of calculating, it is to increase the efficiency of the wind velocity history of zebra stripes guardrails; Introduce mean wind speed correction coefficient Q when calculating mean wind speed, when calculating fluctuating wind speed time series, introduce temperature correction coefficient K so that the wind velocity history of zebra stripes guardrail is more accurate, wherein established standards temperature T₀Being 23 DEG C, it is 3hZ that setting intercepts upper frequency limit value, and the simulation precision of the wind speed time-histories of each simulation points finally obtained brings up to 95.8%, and efficiency improves 3% relative to prior art.

Embodiment two

See Fig. 1, the zebra stripes guardrail of the present embodiment comprises the zebra stripes guardrail body being made up of horizontal hurdle and perpendicular hurdle and is arranged on the quick simulator of wind speed time-histories of zebra stripes guardrail body, and described quick simulator comprises:

(1) structural parameter monitoring modular 1, it comprises anemoscope, temperature sensor and data collector, along the height direction on described perpendicular hurdle, zebra stripes guardrail is divided the identical test layer in multiple interval, on described horizontal hurdle, medium position installs described data collector, select the simulation points of center position place as a wind speed time-histories of test layer, and lay described anemoscope and temperature sensor at the center position place of each test layer;

(2) mean wind speed calculates module 2, and it utilizes anemoscope to monitor out the wind speed total amount of every test layer, lateral angle and vertical wind speed, and getting 0.2s is sampling time interval, during the calculating of the wind speed that is averaged, introduces mean wind speed correction coefficient Q:

$Q=1-\left|\frac{\frac{6.38e^{-9}(\stackrel{\&OverBar;}{P}-0.378P_{wat})}{1+0.00366\stackrel{\&OverBar;}{T}}-F_b}{F_b}\right|$

Every test layer in the calculation formula of a mean wind speed adopting the time is:

$W_{\left(i\right)}=\frac{1}{N-2}{\{{\&lsqb;\underset{i=1}{\overset{N}{\&Sigma;}}\&lsqb;w\left(i\right)\cos \left(\arcsin \right(\frac{w_z\left(i\right)}{w}\left)\right)\cos \mathrm{\&theta;}\left(i\right)\&rsqb;-A\&rsqb;}^2+{\&lsqb;\underset{i=1}{\overset{N}{\&Sigma;}}\&lsqb;w\left(i\right)\cos \&lsqb;\arcsin \left(\frac{w_z\left(i\right)}{w}\right)\&rsqb;\sin \mathrm{\&theta;}\left(i\right)\&rsqb;-B\&rsqb;}^2\}}^{1/2}\&times;Q$

Wherein, A is maximum value and the mnm. sum of dividing value of wind speed total amount w in x direction, and B is maximum value and the mnm. sum that wind speed total amount w divides value in y direction,For local average gas pressure,For local medial temperature, P_watFor local average water vapour pressure, F_bFor the blast coefficient under standard state;

(3) fluctuating wind speed time series of each simulation points calculates module 3, comprises the pulsating wind power spectrum of the fluctuating wind speed time series generating described each simulation points, when carrying out the simulation of pulsating wind power spectrum, introduces temperature correction coefficientWherein T₀For the standard temperature of setting, T is the medial temperature value obtained by described temperature sensor Real-Time Monitoring, then

T≥T₀Time, the optimization formula of described pulsating wind power spectrum is:

$S_{\mathrm{\&upsi;}}\left(g\right)=\frac{\mathrm{\&lambda;}g}{1+{\left(\frac{1200g}{W_{\left(i\right)}}\right)}^{8/3}}\&times;(1-\sqrt{\left|\frac{T-T_0}{T}\right|})\&times;5.76\&times;{10}^6$

T<T₀Time, the optimization formula of described pulsating wind power spectrum is:

$S_{\mathrm{\&upsi;}}\left(\mathrm{\&rho;}\right)=\frac{\mathrm{\&lambda;}g}{1+{\left(\frac{1200g}{W_{\left(i\right)}}\right)}^{8/3}}\&times;(1+\sqrt{\frac{T-T_0}{T}|})\&times;5.76\&times;{10}^6$

Wherein, λ is the terrain rough factor selected according to zebra stripes guard bar structure, and g is according to mean wind speed W_(i)The frequency chosen intercepts higher limit;

(4) wind speed time-histories calculates module 4, comprises microprocessor, and described microprocessor utilizes harmony superposition that the mean wind speed of identical position and fluctuating wind speed time series are carried out superposition, obtains the wind speed time-histories of each simulation points;

(5) wind speed simulation display module 5, comprises the isolation amplifier and digital display screen that connect successively, and the input terminus of described isolation amplifier is connected with described micro-letter treater.

The zebra stripes guardrail of the present embodiment has installed the quick simulator of wind speed time-histories on the zebra stripes guardrail body being made up of horizontal hurdle and perpendicular hurdle, it is convenient to the wind speed time-histories feature that maintenance personnel obtains zebra stripes guardrail place highway in time, thus high latitude highway is carried out effective monitoring; Adopt anemoscope, temperature sensor and data collector to carry out monitoring and the collection of wind velocity history data, instead of conventional art artificial excitation and expensive exciting equipment, reduce cost, practical convenient; Described simulator, based on, on the basis of harmony superposition, the calculation formula of mean wind speed and fluctuating wind speed being optimized, decreases the workload of calculating, it is to increase the efficiency of the wind velocity history of zebra stripes guardrails; Introduce mean wind speed correction coefficient Q when calculating mean wind speed, when calculating fluctuating wind speed time series, introduce temperature correction coefficient K so that the wind velocity history of zebra stripes guardrail is more accurate, wherein established standards temperature T₀Being 23 DEG C, it is 4hZ that setting intercepts upper frequency limit value, and the simulation precision of the wind speed time-histories of each simulation points finally obtained brings up to 96%, and efficiency improves 2% relative to prior art.

Embodiment three

See Fig. 1, the zebra stripes guardrail of the present embodiment comprises the zebra stripes guardrail body being made up of horizontal hurdle and perpendicular hurdle and is arranged on the quick simulator of wind speed time-histories of zebra stripes guardrail body, and described quick simulator comprises:

(1) structural parameter monitoring modular 1, it comprises anemoscope, temperature sensor and data collector, along the height direction on described perpendicular hurdle, zebra stripes guardrail is divided the identical test layer in multiple interval, on described horizontal hurdle, medium position installs described data collector, select the simulation points of center position place as a wind speed time-histories of test layer, and lay described anemoscope and temperature sensor at the center position place of each test layer;

(2) mean wind speed calculates module 2, and it utilizes anemoscope to monitor out the wind speed total amount of every test layer, lateral angle and vertical wind speed, and getting 0.2s is sampling time interval, during the calculating of the wind speed that is averaged, introduces mean wind speed correction coefficient Q:

$Q=1-\left|\frac{\frac{6.38e^{-9}(\stackrel{\&OverBar;}{P}-0.378P_{wat})}{1+0.00366\stackrel{\&OverBar;}{T}}-F_b}{F_b}\right|$

Every test layer in the calculation formula of a mean wind speed adopting the time is:

$W_{\left(i\right)}=\frac{1}{N-2}{\{{\&lsqb;\underset{i=1}{\overset{N}{\&Sigma;}}\&lsqb;w\left(i\right)\cos \left(\arcsin \right(\frac{w_z\left(i\right)}{w}\left)\right)\cos \mathrm{\&theta;}\left(i\right)\&rsqb;-A\&rsqb;}^2+{\&lsqb;\underset{i=1}{\overset{N}{\&Sigma;}}\&lsqb;w\left(i\right)\cos \&lsqb;\arcsin \left(\frac{w_z\left(i\right)}{w}\right)\&rsqb;\sin \mathrm{\&theta;}\left(i\right)\&rsqb;-B\&rsqb;}^2\}}^{1/2}\&times;Q$

Wherein, A is maximum value and the mnm. sum of dividing value of wind speed total amount w in x direction, and B is maximum value and the mnm. sum that wind speed total amount w divides value in y direction,For local average gas pressure,For local medial temperature, P_watFor local average water vapour pressure, F_bFor the blast coefficient under standard state;

(3) fluctuating wind speed time series of each simulation points calculates module 3, comprises the pulsating wind power spectrum of the fluctuating wind speed time series generating described each simulation points, when carrying out the simulation of pulsating wind power spectrum, introduces temperature correction coefficientWherein T₀For the standard temperature of setting, T is the medial temperature value obtained by described temperature sensor Real-Time Monitoring, then

T≥T₀Time, the optimization formula of described pulsating wind power spectrum is:

$S_{\mathrm{\&upsi;}}\left(g\right)=\frac{\mathrm{\&lambda;}g}{1+{\left(\frac{1200g}{W_{\left(i\right)}}\right)}^{8/3}}\&times;(1-\sqrt{\left|\frac{T-T_0}{T}\right|})\&times;5.76\&times;{10}^6$

T<T₀Time, the optimization formula of described pulsating wind power spectrum is:

$S_{\mathrm{\&upsi;}}\left(\mathrm{\&rho;}\right)=\frac{\mathrm{\&lambda;}g}{1+{\left(\frac{1200g}{W_{\left(i\right)}}\right)}^{8/3}}\&times;(1+\sqrt{\frac{T-T_0}{T}|})\&times;5.76\&times;{10}^6$

Wherein, λ is the terrain rough factor selected according to zebra stripes guard bar structure, and g is according to mean wind speed W_(i)The frequency chosen intercepts higher limit;

(4) wind speed time-histories calculates module 4, comprises microprocessor, and described microprocessor utilizes harmony superposition that the mean wind speed of identical position and fluctuating wind speed time series are carried out superposition, obtains the wind speed time-histories of each simulation points;

(5) wind speed simulation display module 5, comprises the isolation amplifier and digital display screen that connect successively, and the input terminus of described isolation amplifier is connected with described micro-letter treater.

The zebra stripes guardrail of the present embodiment has installed the quick simulator of wind speed time-histories on the zebra stripes guardrail body being made up of horizontal hurdle and perpendicular hurdle, it is convenient to the wind speed time-histories feature that maintenance personnel obtains zebra stripes guardrail place highway in time, thus high latitude highway is carried out effective monitoring; Adopt anemoscope, temperature sensor and data collector to carry out monitoring and the collection of wind velocity history data, instead of conventional art artificial excitation and expensive exciting equipment, reduce cost, practical convenient; Described simulator, based on, on the basis of harmony superposition, the calculation formula of mean wind speed and fluctuating wind speed being optimized, decreases the workload of calculating, it is to increase the efficiency of the wind velocity history of zebra stripes guardrails; Introduce mean wind speed correction coefficient Q when calculating mean wind speed, when calculating fluctuating wind speed time series, introduce temperature correction coefficient K so that the wind velocity history of zebra stripes guardrail is more accurate, wherein established standards temperature T₀Being 23 DEG C, it is 5hZ that setting intercepts upper frequency limit value, and the simulation precision of the wind speed time-histories of each simulation points finally obtained brings up to 94.8%, and efficiency improves 3% relative to prior art.

Embodiment four

See Fig. 1, the zebra stripes guardrail of the present embodiment comprises the zebra stripes guardrail body being made up of horizontal hurdle and perpendicular hurdle and is arranged on the quick simulator of wind speed time-histories of zebra stripes guardrail body, and described quick simulator comprises:

(1) structural parameter monitoring modular 1, it comprises anemoscope, temperature sensor and data collector, along the height direction on described perpendicular hurdle, zebra stripes guardrail is divided the identical test layer in multiple interval, on described horizontal hurdle, medium position installs described data collector, select the simulation points of center position place as a wind speed time-histories of test layer, and lay described anemoscope and temperature sensor at the center position place of each test layer;

(2) mean wind speed calculates module 2, and it utilizes anemoscope to monitor out the wind speed total amount of every test layer, lateral angle and vertical wind speed, and getting 0.2s is sampling time interval, during the calculating of the wind speed that is averaged, introduces mean wind speed correction coefficient Q:

$Q=1-\left|\frac{\frac{6.38e^{-9}(\stackrel{\&OverBar;}{P}-0.378P_{wat})}{1+0.00366\stackrel{\&OverBar;}{T}}-F_b}{F_b}\right|$

Every test layer in the calculation formula of a mean wind speed adopting the time is:

$W_{\left(i\right)}=\frac{1}{N-2}{\{{\&lsqb;\underset{i=1}{\overset{N}{\&Sigma;}}\&lsqb;w\left(i\right)\cos \left(\arcsin \right(\frac{w_z\left(i\right)}{w}\left)\right)\cos \mathrm{\&theta;}\left(i\right)\&rsqb;-A\&rsqb;}^2+{\&lsqb;\underset{i=1}{\overset{N}{\&Sigma;}}\&lsqb;w\left(i\right)\cos \&lsqb;\arcsin \left(\frac{w_z\left(i\right)}{w}\right)\&rsqb;\sin \mathrm{\&theta;}\left(i\right)\&rsqb;-B\&rsqb;}^2\}}^{1/2}\&times;Q$

Wherein, A is maximum value and the mnm. sum of dividing value of wind speed total amount w in x direction, and B is maximum value and the mnm. sum that wind speed total amount w divides value in y direction,For local average gas pressure,For local medial temperature, P_watFor local average water vapour pressure, F_bFor the blast coefficient under standard state;

(3) fluctuating wind speed time series of each simulation points calculates module 3, comprises the pulsating wind power spectrum of the fluctuating wind speed time series generating described each simulation points, when carrying out the simulation of pulsating wind power spectrum, introduces temperature correction coefficientWherein T₀For the standard temperature of setting, T is the medial temperature value obtained by described temperature sensor Real-Time Monitoring, then

T≥T₀Time, the optimization formula of described pulsating wind power spectrum is:

$S_{\mathrm{\&upsi;}}\left(g\right)=\frac{\mathrm{\&lambda;}g}{1+{\left(\frac{1200g}{W_{\left(i\right)}}\right)}^{8/3}}\&times;(1-\sqrt{\left|\frac{T-T_0}{T}\right|})\&times;5.76\&times;{10}^6$

T<T₀Time, the optimization formula of described pulsating wind power spectrum is:

$S_{\mathrm{\&upsi;}}\left(\mathrm{\&rho;}\right)=\frac{\mathrm{\&lambda;}g}{1+{\left(\frac{1200g}{W_{\left(i\right)}}\right)}^{8/3}}\&times;(1+\sqrt{\left|\frac{T-T_0}{T}\right|})\&times;5.76\&times;{10}^6$

Wherein, λ is the terrain rough factor selected according to zebra stripes guard bar structure, and g is according to mean wind speed W_(i)The frequency chosen intercepts higher limit;

(4) wind speed time-histories calculates module 4, comprises microprocessor, and described microprocessor utilizes harmony superposition that the mean wind speed of identical position and fluctuating wind speed time series are carried out superposition, obtains the wind speed time-histories of each simulation points;

(5) wind speed simulation display module 5, comprises the isolation amplifier and digital display screen that connect successively, and the input terminus of described isolation amplifier is connected with described micro-letter treater.

The zebra stripes guardrail of the present embodiment has installed the quick simulator of wind speed time-histories on the zebra stripes guardrail body being made up of horizontal hurdle and perpendicular hurdle, it is convenient to the wind speed time-histories feature that maintenance personnel obtains zebra stripes guardrail place highway in time, thus high latitude highway is carried out effective monitoring; Adopt anemoscope, temperature sensor and data collector to carry out monitoring and the collection of wind velocity history data, instead of conventional art artificial excitation and expensive exciting equipment, reduce cost, practical convenient; Described simulator, based on, on the basis of harmony superposition, the calculation formula of mean wind speed and fluctuating wind speed being optimized, decreases the workload of calculating, it is to increase the efficiency of the wind velocity history of zebra stripes guardrails; Introduce mean wind speed correction coefficient Q when calculating mean wind speed, when calculating fluctuating wind speed time series, introduce temperature correction coefficient K so that the wind velocity history of zebra stripes guardrail is more accurate, wherein established standards temperature T₀Being 27 DEG C, it is 3hZ that setting intercepts upper frequency limit value, and the simulation precision of the wind speed time-histories of each simulation points finally obtained brings up to 95.7%, and efficiency improves 2.5% relative to prior art.

Embodiment five

See Fig. 1, the zebra stripes guardrail of the present embodiment comprises the zebra stripes guardrail body being made up of horizontal hurdle and perpendicular hurdle and is arranged on the quick simulator of wind speed time-histories of zebra stripes guardrail body, and described quick simulator comprises:

(1) structural parameter monitoring modular 1, it comprises anemoscope, temperature sensor and data collector, along the height direction on described perpendicular hurdle, zebra stripes guardrail is divided the identical test layer in multiple interval, on described horizontal hurdle, medium position installs described data collector, select the simulation points of center position place as a wind speed time-histories of test layer, and lay described anemoscope and temperature sensor at the center position place of each test layer;

(2) mean wind speed calculates module 2, and it utilizes anemoscope to monitor out the wind speed total amount of every test layer, lateral angle and vertical wind speed, and getting 0.2s is sampling time interval, during the calculating of the wind speed that is averaged, introduces mean wind speed correction coefficient Q:

$Q=1-\left|\frac{\frac{6.38e^{-9}(\stackrel{\&OverBar;}{P}-0.378P_{wat})}{1+0.00366\stackrel{\&OverBar;}{T}}-F_b}{F_b}\right|$

Every test layer in the calculation formula of a mean wind speed adopting the time is:

$W_{\left(i\right)}=\frac{1}{N-2}{\{{\&lsqb;\underset{i=1}{\overset{N}{\&Sigma;}}\&lsqb;w\left(i\right)\cos \left(\arcsin \right(\frac{w_z\left(i\right)}{w}\left)\right)\cos \mathrm{\&theta;}\left(i\right)\&rsqb;-A\&rsqb;}^2+{\&lsqb;\underset{i=1}{\overset{N}{\&Sigma;}}\&lsqb;w\left(i\right)\cos \&lsqb;\arcsin \left(\frac{w_z\left(i\right)}{w}\right)\&rsqb;\sin \mathrm{\&theta;}\left(i\right)\&rsqb;-B\&rsqb;}^2\}}^{1/2}\&times;Q$

Wherein, A is maximum value and the mnm. sum of dividing value of wind speed total amount w in x direction, and B is maximum value and the mnm. sum that wind speed total amount w divides value in y direction,For local average gas pressure,For local medial temperature, P_watFor local average water vapour pressure, F_bFor the blast coefficient under standard state;

(3) fluctuating wind speed time series of each simulation points calculates module 3, comprises the pulsating wind power spectrum of the fluctuating wind speed time series generating described each simulation points, when carrying out the simulation of pulsating wind power spectrum, introduces temperature correction coefficientWherein T₀For the standard temperature of setting, T is the medial temperature value obtained by described temperature sensor Real-Time Monitoring, then

T≥T₀Time, the optimization formula of described pulsating wind power spectrum is:

$S_{\mathrm{\&upsi;}}\left(g\right)=\frac{\mathrm{\&lambda;}g}{1+{\left(\frac{1200g}{W_{\left(i\right)}}\right)}^{8/3}}\&times;(1-\sqrt{\left|\frac{T-T_0}{T}\right|})\&times;5.76\&times;{10}^6$

T<T₀Time, the optimization formula of described pulsating wind power spectrum is:

$S_{\mathrm{\&upsi;}}\left(\mathrm{\&rho;}\right)=\frac{\mathrm{\&lambda;}g}{1+{\left(\frac{1200g}{W_{\left(i\right)}}\right)}^{8/3}}\&times;(1+\sqrt{\left|\frac{T-T_0}{T}\right|})\&times;5.76\&times;{10}^6$

Wherein, λ is the terrain rough factor selected according to zebra stripes guard bar structure, and g is according to mean wind speed W_(i)The frequency chosen intercepts higher limit;

(4) wind speed time-histories calculates module 4, comprises microprocessor, and described microprocessor utilizes harmony superposition that the mean wind speed of identical position and fluctuating wind speed time series are carried out superposition, obtains the wind speed time-histories of each simulation points;

(5) wind speed simulation display module 5, comprises the isolation amplifier and digital display screen that connect successively, and the input terminus of described isolation amplifier is connected with described micro-letter treater.

The zebra stripes guardrail of the present embodiment has installed the quick simulator of wind speed time-histories on the zebra stripes guardrail body being made up of horizontal hurdle and perpendicular hurdle, it is convenient to the wind speed time-histories feature that maintenance personnel obtains zebra stripes guardrail place highway in time, thus high latitude highway is carried out effective monitoring; Adopt anemoscope, temperature sensor and data collector to carry out monitoring and the collection of wind velocity history data, instead of conventional art artificial excitation and expensive exciting equipment, reduce cost, practical convenient; Described simulator, based on, on the basis of harmony superposition, the calculation formula of mean wind speed and fluctuating wind speed being optimized, decreases the workload of calculating, it is to increase the efficiency of the wind velocity history of zebra stripes guardrails; Introduce mean wind speed correction coefficient Q when calculating mean wind speed, when calculating fluctuating wind speed time series, introduce temperature correction coefficient K so that the wind velocity history of zebra stripes guardrail is more accurate, wherein established standards temperature T₀Being 27 DEG C, it is 5hZ that setting intercepts upper frequency limit value, and the simulation precision of the wind speed time-histories of each simulation points finally obtained brings up to 96.5%, and efficiency improves 2.5% relative to prior art.

Finally should be noted that; above embodiment is only in order to illustrate the technical scheme of the present invention; but not limiting the scope of the invention; although having done to explain to the present invention with reference to better embodiment; it will be understood by those within the art that; the technical scheme of the present invention can be modified or equivalent replacement, and not depart from essence and the scope of technical solution of the present invention.

Claims (4)

1. for an intelligent zebra stripes guardrail for high latitude highway, comprising the zebra stripes guardrail body being made up of horizontal hurdle and perpendicular hurdle and be arranged on the quick simulator of wind speed time-histories of zebra stripes guardrail body, it is characterized in that, described quick simulator comprises:

(1) structural parameter monitoring modular, it comprises anemoscope, temperature sensor and data collector, along the height direction on described perpendicular hurdle, zebra stripes guardrail is divided the identical test layer in multiple interval, on described horizontal hurdle, medium position installs described data collector, select the simulation points of center position place as a wind speed time-histories of test layer, and lay described anemoscope and temperature sensor at the center position place of each test layer;

(2) mean wind speed calculates module, and it utilizes anemoscope to monitor out the wind speed total amount of every test layer, lateral angle and vertical wind speed, and getting 0.2s is sampling time interval, during the calculating of the wind speed that is averaged, introduces mean wind speed correction coefficient Q:

Every test layer in the calculation formula of a mean wind speed adopting the time is:

Wherein, A is maximum value and the mnm. sum of dividing value of wind speed total amount w in x direction, and B is maximum value and the mnm. sum that wind speed total amount w divides value in y direction,For local average gas pressure,For local medial temperature, P_watFor local average water vapour pressure, F_bFor the blast coefficient under standard state;

(3) fluctuating wind speed time series of each simulation points calculates module, comprises the pulsating wind power spectrum of the fluctuating wind speed time series generating described each simulation points;

(4) wind speed time-histories calculates module, comprises microprocessor, and described microprocessor utilizes harmony superposition that the mean wind speed of identical position and fluctuating wind speed time series are carried out superposition, obtains the wind speed time-histories of each simulation points;

(5) wind speed simulation display module, comprises the isolation amplifier and digital display screen that connect successively, and the input terminus of described isolation amplifier is connected with described microprocessor.

2. a kind of intelligent zebra stripes guardrail for high latitude highway according to claim 1, is characterized in that, when carrying out the simulation of pulsating wind power spectrum, introduces temperature correction coefficientWherein T₀For the standard temperature of setting, T is the medial temperature value obtained by described temperature sensor Real-Time Monitoring, then

T≥T₀Time, the optimization formula of described pulsating wind power spectrum is:

T<T₀Time, the optimization formula of described pulsating wind power spectrum is:

Wherein, λ is the terrain rough factor selected according to zebra stripes guard bar structure, and g is according to mean wind speed W_(i)The frequency chosen intercepts higher limit.

3. a kind of intelligent zebra stripes guardrail for high latitude highway according to claim 1, is characterized in that, it is 3hZ～5hZ that described frequency intercepts the scope of higher limit.

4. a kind of intelligent zebra stripes guardrail for high latitude highway according to claim 2, is characterized in that, the setting range of described standard temperature value is 23 DEG C～27 DEG C.