CN105678005A - Intelligent guardrail for garden - Google Patents

Abstract

The invention provides an intelligent guardrail for a garden. The intelligent guardrail comprises a guardrail body composed of cross bars and vertical bars, and a wind speed time-history quick simulation device installed on the guardrail body, wherein the quick simulation device comprises a structure parameter monitoring module, an average wind speed calculation module, a turbulent wind speed time-history calculation module for each simulation point, a wind speed time-history calculation module and a wind speed simulation display module, wherein the average wind speed calculation module, the turbulent wind speed time-history calculation module for each simulation point and the wind speed time-history calculation module conducts calculation according to the monitor value of the monitoring module, and obtained wind speed time-history is displayed through the wind speed simulation display module. The wind speed time-history of the guardrail can be simulated quickly, simulation calculation work amount is small, efficiency is high, and precision is high.

Description

A kind of intelligent gardens guardrail

Technical field

The present invention relates to Guardrail design field, be specifically related to a kind of intelligent gardens guardrail.

Background technology

In gardens, in order to prevent that the region of planting flowers or trees from being entered into by visitor, be subject to visitor's destruction, usually in flowersBe provided with guardrail around with trees, guardrail is provided with the bank that cement is built into outward. At coastal or windy area, be arranged at tall building roofOn guardrail be often subject to the impact of wind. The wind vibration response characteristic of guardrail can be more fully understood in the wind time-domain analysis of shaking, more directly perceivedThe validity of the wind vibration control of ground reaction guardrail. Guardrail being carried out to wind while shaking time-domain analysis, need to be to the wind speed of guardrail timeCheng Jinhang simulation.

Summary of the invention

For the problems referred to above, the invention provides a kind of intelligent gardens guardrail that can Fast simulation self Wind Velocity History.

Object of the present invention realizes by the following technical solutions:

A kind of intelligent gardens guardrail, when comprising the guardrail body being made up of horizontal bar and perpendicular hurdle and being arranged on the wind speed of guardrail bodyJourney Fast simulation device, described Fast simulation device comprises:

(1) structural parameters monitoring modular, divides the identical test layer in multiple intervals along guardrail height direction by guardrail, around guardrailThe centre of form selects the position at two diagonal angles that described data acquisition unit is installed simultaneously, selects the center position place of test layer as a wind speedThe simulation points of time-histories, and lay described anemobiagraph and temperature sensor at the center position place of each test layer;

(2) mean wind speed computing module, it utilizes anemobiagraph to monitor out the wind speed total amount of every test layer, lateral angle and vertical wind speed,Getting 0.2s is sampling time interval, while averaging the calculating of wind speed, 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 adopts the computing formula of the mean wind speed of time to be at one:

$W_{\left(i\right)}=\frac{1}{N-2}{\left\{{\[\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\right\}}^{1/2}\×Q$

Wherein, A is maximum and the minimum sum of wind speed total amount w at the component value of x direction, and B is that wind speed total amount w is at yThe maximum of durection component value and minimum sum,For local average gas pressure,For local mean temperature, P_watFor working as HorizonAll vapour pressures, F_bFor the coefficient of wind pres under standard state;

(3) the fluctuating wind speed time series computing module of each simulation points, comprises the pulsation of the fluctuating wind speed time series that generates described each simulation pointsWind speed power spectrum, while carrying out the simulation of pulsating wind power spectrum, introduces temperature correction coefficientWherein T₀ForThe normal temperature of setting, the T average temperature value that described temperature sensor Real-Time Monitoring obtains of serving as reasons,

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 of selecting according to guard bar structure, and g is according to mean wind speed W_(i)The frequency of choosing interceptsHigher limit;

(4) Wind Velocity History computing module, comprises microprocessor, and described microprocessor utilizes the harmonic wave addition method to same position placeMean wind speed and fluctuating wind speed time series superpose, and obtain the Wind Velocity History of each simulation points;

(5) wind speed simulation display module, comprises the isolated amplifier and the digital display screen that connect successively, described isolated amplifierInput is connected with described micro-letter processor.

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

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

Beneficial effect of the present invention is:

1, Wind Velocity History Fast simulation device has been installed on the guardrail body being formed by horizontal bar and perpendicular hurdle, has been convenient to guardrail Wind Velocity HistoryObtaining in time of feature;

2, adopt anemobiagraph, temperature sensor and data acquisition unit to carry out monitoring and the collection of Wind Velocity History analogue data, replaceConventional art artificial excitation and expensive excitational equipment, reduced cost, practical convenient;

3,, on the basis of described analogue means based on the harmonic wave addition method, the computing formula of mean wind speed and pulsation wind speed is optimized,Reduce the workload of calculating, improved the efficiency of the Wind Velocity History simulation of guardrail;

4, in the time calculating mean wind speed, introduce mean wind speed correction coefficient Q, while calculating fluctuating wind speed time series, introduce temperature correction coefficientK, makes the Wind Velocity History simulation of guardrail more accurate.

Brief description of the drawings

The invention will be further described to utilize accompanying drawing, but embodiment in accompanying drawing does not form any limitation of the invention, forThose of ordinary skill in the art, is not paying under the prerequisite of creative work, can also obtain the attached of other according to the following drawingsFigure.

Fig. 1 is the connection diagram of the each module of Wind Velocity History Fast simulation device of the present invention.

Reference numeral:

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

Detailed description of the invention

The invention will be further described with the following Examples.

Embodiment mono-

Referring to Fig. 1, the guardrail of the present embodiment comprises the guardrail body being made up of horizontal bar and perpendicular hurdle and is arranged on the wind speed of guardrail bodyTime-histories Fast simulation device, described Fast simulation device comprises:

(1) structural parameters monitoring modular 1, it comprises anemobiagraph, temperature sensor and data acquisition unit, along guardrail height sideTo guardrail being divided to the identical test layer in multiple intervals, select the position at two diagonal angles that described data acquisition is installed simultaneously around the guardrail centre of formAcquisition means, selects the center position place of test layer as the simulation points of a Wind Velocity History, and at the center position place of each test layerLay described anemobiagraph and temperature sensor;

(2) mean wind speed computing module 2, it utilizes anemobiagraph to monitor out wind speed total amount, lateral angle and the vertical wind of every test layerSpeed, getting 0.2s is sampling time interval, while averaging the calculating of wind speed, 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 adopts the computing formula of the mean wind speed of time to be at one:

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

Wherein, A is maximum and the minimum sum of wind speed total amount w at the component value of x direction, and B is that wind speed total amount w is at yThe maximum of durection component value and minimum sum,For local average gas pressure,For local mean temperature, P_watFor working as HorizonAll vapour pressures, F_bFor the coefficient of wind pres under standard state;

(3) the fluctuating wind speed time series computing module 3 of each simulation points, comprises the arteries and veins of the fluctuating wind speed time series that generates described each simulation pointsMoving wind speed power spectrum, while carrying out the simulation of pulsating wind power spectrum, introduces temperature correction coefficientWherein T₀For the normal temperature of setting, the T average temperature value that described temperature sensor Real-Time Monitoring obtains of serving as reasons,

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 of selecting according to guard bar structure, and g is according to mean wind speed W_(i)The frequency of choosing interceptsHigher limit;

(4) Wind Velocity History computing module 4, comprises microprocessor, and described microprocessor utilizes the harmonic wave addition method to same position placeMean wind speed and fluctuating wind speed time series superpose, obtain the Wind Velocity History of each simulation points;

(5) wind speed simulation display module 5, comprises the isolated amplifier and the digital display screen that connect successively, described isolated amplifierInput be connected with described micro-letter processor.

The gardens of the present embodiment adopt anemobiagraph, temperature sensor and data acquisition unit to carry out Wind Velocity History analogue data with guardrailMonitoring and collection, replaced conventional art artificial excitation and expensive excitational equipment, reduced cost, practical convenient; At meterWhile calculating mean wind speed, introduce mean wind speed correction coefficient Q, while calculating fluctuating wind speed time series, introduce temperature correction coefficient K, make gardenWoods is more accurate with the Wind Velocity History simulation of guardrail, wherein established standards temperature T₀Be 27 DEG C, setting intercepts upper frequency limit value and is5hZ, the simulation precision of the Wind Velocity History of the each simulation points finally obtaining brings up to 96.5%; On basis based on the harmonic wave addition method,Computing formula to mean wind speed and pulsation wind speed is optimized, and has reduced the workload of calculating, simulation identification wind rapidlySpeed time-histories, simulation identification efficiency has improved 2.5% with respect to prior art.

Embodiment bis-

Referring to Fig. 1, when the guardrail of the present embodiment comprises the guardrail body being made up of horizontal bar and perpendicular hurdle and is arranged on the wind speed of guardrail bodyJourney Fast simulation device, described Fast simulation device comprises:

(1) structural parameters monitoring modular 1, it comprises anemobiagraph, temperature sensor and data acquisition unit, along guardrail height sideTo guardrail being divided to the identical test layer in multiple intervals, select the position at two diagonal angles that described data acquisition is installed simultaneously around the guardrail centre of formAcquisition means, selects the center position place of test layer as the simulation points of a Wind Velocity History, and at the center position place of each test layerLay described anemobiagraph and temperature sensor;

(2) mean wind speed computing module 2, it utilizes anemobiagraph to monitor out wind speed total amount, lateral angle and the vertical wind of every test layerSpeed, getting 0.2s is sampling time interval, while averaging the calculating of wind speed, 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 adopts the computing formula of the mean wind speed of time to be at one:

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

Wherein, A is maximum and the minimum sum of wind speed total amount w at the component value of x direction, and B is that wind speed total amount w is at yThe maximum of durection component value and minimum sum,For local average gas pressure,For local mean temperature, P_watFor working as HorizonAll vapour pressures, F_bFor the coefficient of wind pres under standard state;

(3) the fluctuating wind speed time series computing module 3 of each simulation points, comprises the arteries and veins of the fluctuating wind speed time series that generates described each simulation pointsMoving wind speed power spectrum, while carrying out the simulation of pulsating wind power spectrum, introduces temperature correction coefficientWherein T₀For the normal temperature of setting, the T average temperature value that described temperature sensor Real-Time Monitoring obtains of serving as reasons,

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 of selecting according to guard bar structure, and g is according to mean wind speed W_(i)The frequency of choosing interceptsHigher limit;

(4) Wind Velocity History computing module 4, comprises microprocessor, and described microprocessor utilizes the harmonic wave addition method to same position placeMean wind speed and fluctuating wind speed time series superpose, obtain the Wind Velocity History of each simulation points;

(5) wind speed simulation display module 5, comprises the isolated amplifier and the digital display screen that connect successively, described isolated amplifierInput be connected with described micro-letter processor.

The gardens of the present embodiment adopt anemobiagraph, temperature sensor and data acquisition unit to carry out Wind Velocity History analogue data with guardrailMonitoring and collection, replaced conventional art artificial excitation and expensive excitational equipment, reduced cost, practical convenient; At meterWhile calculating mean wind speed, introduce mean wind speed correction coefficient Q, while calculating fluctuating wind speed time series, introduce temperature correction coefficient K, make gardenWoods is more accurate with the Wind Velocity History simulation of guardrail, wherein established standards temperature T₀Be 27 DEG C, setting intercepts upper frequency limit value and is3hZ, the simulation precision of the Wind Velocity History of the each simulation points finally obtaining brings up to 95.7%; On basis based on the harmonic wave addition method,Computing formula to mean wind speed and pulsation wind speed is optimized, and has reduced the workload of calculating, simulation identification wind rapidlySpeed time-histories, simulation identification efficiency has improved 4% with respect to prior art.

Embodiment tri-

Referring to Fig. 1, when the guardrail of the present embodiment comprises the guardrail body being made up of horizontal bar and perpendicular hurdle and is arranged on the wind speed of guardrail bodyJourney Fast simulation device, described Fast simulation device comprises:

(1) structural parameters monitoring modular 1, it comprises anemobiagraph, temperature sensor and data acquisition unit, along guardrail height sideTo guardrail being divided to the identical test layer in multiple intervals, select the position at two diagonal angles that described data acquisition is installed simultaneously around the guardrail centre of formAcquisition means, selects the center position place of test layer as the simulation points of a Wind Velocity History, and at the center position place of each test layerLay described anemobiagraph and temperature sensor;

(2) mean wind speed computing module 2, it utilizes anemobiagraph to monitor out wind speed total amount, lateral angle and the vertical wind of every test layerSpeed, getting 0.2s is sampling time interval, while averaging the calculating of wind speed, 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 adopts the computing formula of the mean wind speed of time to be at one:

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

Wherein, A is maximum and the minimum sum of wind speed total amount w at the component value of x direction, and B is that wind speed total amount w is at yThe maximum of durection component value and minimum sum,For local average gas pressure,For local mean temperature, P_watFor working as HorizonAll vapour pressures, F_bFor the coefficient of wind pres under standard state;

(3) the fluctuating wind speed time series computing module 3 of each simulation points, comprises the arteries and veins of the fluctuating wind speed time series that generates described each simulation pointsMoving wind speed power spectrum, while carrying out the simulation of pulsating wind power spectrum, introduces temperature correction coefficientWherein T₀For the normal temperature of setting, the T average temperature value that described temperature sensor Real-Time Monitoring obtains of serving as reasons,

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 of selecting according to guard bar structure, and g is according to mean wind speed W_(i)The frequency of choosing interceptsHigher limit;

(4) Wind Velocity History computing module 4, comprises microprocessor, and described microprocessor utilizes the harmonic wave addition method to same position placeMean wind speed and fluctuating wind speed time series superpose, obtain the Wind Velocity History of each simulation points;

(5) wind speed simulation display module 5, comprises the isolated amplifier and the digital display screen that connect successively, described isolated amplifierInput be connected with described micro-letter processor.

The gardens of the present embodiment adopt anemobiagraph, temperature sensor and data acquisition unit to carry out Wind Velocity History analogue data with guardrailMonitoring and collection, replaced conventional art artificial excitation and expensive excitational equipment, reduced cost, practical convenient; At meterWhile calculating mean wind speed, introduce mean wind speed correction coefficient Q, while calculating fluctuating wind speed time series, introduce temperature correction coefficient K, make gardenWoods is more accurate with the Wind Velocity History simulation of guardrail, wherein established standards temperature T₀Be 23 DEG C, setting intercepts upper frequency limit value and is5hZ, the simulation precision of the Wind Velocity History of the each simulation points finally obtaining brings up to 94.8%; On basis based on the harmonic wave addition method,Computing formula to mean wind speed and pulsation wind speed is optimized, and has reduced the workload of calculating, simulation identification wind rapidlySpeed time-histories, simulation identification efficiency has improved 3% with respect to prior art.

Embodiment tetra-

Referring to Fig. 1, the guardrail of the present embodiment comprises that the guardrail body being made up of horizontal bar and perpendicular hurdle is fast with the Wind Velocity History that is arranged on guardrail bodySpeed analogue means, described Fast simulation device comprises:

(1) structural parameters monitoring modular 1, it comprises anemobiagraph, temperature sensor and data acquisition unit, along guardrail height sideTo guardrail being divided to the identical test layer in multiple intervals, select the position at two diagonal angles that described data acquisition is installed simultaneously around the guardrail centre of formAcquisition means, selects the center position place of test layer as the simulation points of a Wind Velocity History, and at the center position place of each test layerLay described anemobiagraph and temperature sensor;

(2) mean wind speed computing module 2, it utilizes anemobiagraph to monitor out wind speed total amount, lateral angle and the vertical wind of every test layerSpeed, getting 0.2s is sampling time interval, while averaging the calculating of wind speed, 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 adopts the computing formula of the mean wind speed of time to be at one:

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

Wherein, A is maximum and the minimum sum of wind speed total amount w at the component value of x direction, and B is that wind speed total amount w is at yThe maximum of durection component value and minimum sum,For local average gas pressure,For local mean temperature, P_watFor working as HorizonAll vapour pressures, F_bFor the coefficient of wind pres under standard state;

(3) the fluctuating wind speed time series computing module 3 of each simulation points, comprises the arteries and veins of the fluctuating wind speed time series that generates described each simulation pointsMoving wind speed power spectrum, while carrying out the simulation of pulsating wind power spectrum, introduces temperature correction coefficientWherein T₀For the normal temperature of setting, the T average temperature value that described temperature sensor Real-Time Monitoring obtains of serving as reasons,

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 of selecting according to guard bar structure, and g is according to mean wind speed W_(i)The frequency of choosing interceptsHigher limit;

(4) Wind Velocity History computing module 4, comprises microprocessor, and described microprocessor utilizes the harmonic wave addition method to same position placeMean wind speed and fluctuating wind speed time series superpose, obtain the Wind Velocity History of each simulation points;

(5) wind speed simulation display module 5, comprises the isolated amplifier and the digital display screen that connect successively, described isolated amplifierInput be connected with described micro-letter processor.

The gardens of the present embodiment adopt anemobiagraph, temperature sensor and data acquisition unit to carry out Wind Velocity History analogue data with guardrailMonitoring and collection, replaced conventional art artificial excitation and expensive excitational equipment, reduced cost, practical convenient; At meterWhile calculating mean wind speed, introduce mean wind speed correction coefficient Q, while calculating fluctuating wind speed time series, introduce temperature correction coefficient K, make gardenWoods is more accurate with the Wind Velocity History simulation of guardrail, wherein established standards temperature T₀Be 23 DEG C, setting intercepts upper frequency limit value and is4hZ, the simulation precision of the Wind Velocity History of the each simulation points finally obtaining brings up to 96%; On basis based on the harmonic wave addition method,Computing formula to mean wind speed and pulsation wind speed is optimized, and has reduced the workload of calculating, simulation identification wind rapidlySpeed time-histories, simulation identification efficiency has improved 3.5% with respect to prior art.

Embodiment five

Referring to Fig. 1, when the guardrail of the present embodiment comprises the guardrail body being made up of horizontal bar and perpendicular hurdle and is arranged on the wind speed of guardrail bodyJourney Fast simulation device, described Fast simulation device comprises:

(1) structural parameters monitoring modular 1, it comprises anemobiagraph, temperature sensor and data acquisition unit, along guardrail height sideTo guardrail being divided to the identical test layer in multiple intervals, select the position at two diagonal angles that described data acquisition is installed simultaneously around the guardrail centre of formAcquisition means, selects the center position place of test layer as the simulation points of a Wind Velocity History, and at the center position place of each test layerLay described anemobiagraph and temperature sensor;

(2) mean wind speed computing module 2, it utilizes anemobiagraph to monitor out wind speed total amount, lateral angle and the vertical wind of every test layerSpeed, getting 0.2s is sampling time interval, while averaging the calculating of wind speed, 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 adopts the computing formula of the mean wind speed of time to be at one:

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

Wherein, A is maximum and the minimum sum of wind speed total amount w at the component value of x direction, and B is that wind speed total amount w is at yThe maximum of durection component value and minimum sum,For local average gas pressure,For local mean temperature, P_watFor working as HorizonAll vapour pressures, F_bFor the coefficient of wind pres under standard state;

(3) the fluctuating wind speed time series computing module 3 of each simulation points, comprises the arteries and veins of the fluctuating wind speed time series that generates described each simulation pointsMoving wind speed power spectrum, while carrying out the simulation of pulsating wind power spectrum, introduces temperature correction coefficientWherein T₀For the normal temperature of setting, the T average temperature value that described temperature sensor Real-Time Monitoring obtains of serving as reasons,

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 of selecting according to guard bar structure, and g is according to mean wind speed W_(i)The frequency of choosing interceptsHigher limit;

(4) Wind Velocity History computing module 4, comprises microprocessor, and described microprocessor utilizes the harmonic wave addition method to same position placeMean wind speed and fluctuating wind speed time series superpose, obtain the Wind Velocity History of each simulation points;

(5) wind speed simulation display module 5, comprises the isolated amplifier and the digital display screen that connect successively, described isolated amplifierInput be connected with described micro-letter processor.

The gardens of the present embodiment adopt anemobiagraph, temperature sensor and data acquisition unit to carry out Wind Velocity History analogue data with guardrailMonitoring and collection, replaced conventional art artificial excitation and expensive excitational equipment, reduced cost, practical convenient; At meterWhile calculating mean wind speed, introduce mean wind speed correction coefficient Q, while calculating fluctuating wind speed time series, introduce temperature correction coefficient K, make gardenWoods is more accurate with the Wind Velocity History simulation of guardrail, wherein established standards temperature T₀Be 23 DEG C, setting intercepts upper frequency limit value and is3hZ, the simulation precision of the Wind Velocity History of the each simulation points finally obtaining brings up to 95.8%; On basis based on the harmonic wave addition method,Computing formula to mean wind speed and pulsation wind speed is optimized, and has reduced the workload of calculating, can simulate wind speed rapidly timeJourney, simulation precision has improved 2% with respect to prior art.

Finally it should be noted that above embodiment is only in order to technical scheme of the present invention to be described, but not to protection domain of the present inventionRestriction, although the present invention has been done to explain with reference to preferred embodiment, those of ordinary skill in the art should be appreciated thatCan modify or be equal to replacement technical scheme of the present invention, and not depart from essence and the scope of technical solution of the present invention.

Claims (4)

1. an intelligent gardens guardrail, comprises and it is characterized in that the guardrail body being made up of horizontal bar and perpendicular hurdle and the Wind Velocity History Fast simulation device that is arranged on guardrail body, and described Fast simulation device comprises:

(1) structural parameters monitoring modular, it comprises anemobiagraph, temperature sensor and data acquisition unit, along guardrail height direction, guardrail is divided to the identical test layer in multiple intervals, select the position at two diagonal angles that described data acquisition unit is installed simultaneously around the guardrail centre of form, select the center position place of test layer as the simulation points of a Wind Velocity History, and lay described anemobiagraph and temperature sensor at the center position place of each test layer;

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

Every test layer adopts the computing formula of the mean wind speed of time to be at one:

Wherein, A is maximum and the minimum sum of wind speed total amount w at the component value of x direction, and B is maximum and the minimum sum of wind speed total amount w in y durection component value,For local average gas pressure,For local mean temperature, P_watFor the average vapour pressure in locality, F_bFor the coefficient of wind pres under standard state;

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

(4) Wind Velocity History computing module, comprises microprocessor, and described microprocessor utilizes mean wind speed and the fluctuating wind speed time series of the harmonic wave addition method to same position place to superpose, and obtains the Wind Velocity History of each simulation points;

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

2. the intelligent gardens of one according to claim 1 guardrail, is characterized in that, while carrying out the simulation of pulsating wind power spectrum, introduces temperature correction coefficientWherein T₀For the normal temperature of setting, the T average temperature value that described temperature sensor Real-Time Monitoring obtains of serving as reasons,

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 of selecting according to guard bar structure, and g is according to mean wind speed W_(i)The frequency of choosing intercepts higher limit.

3. the intelligent gardens of one according to claim 1 guardrail, is characterized in that, the scope that described frequency intercepts higher limit is 3hZ～5hZ.

4. the intelligent gardens of one according to claim 2 guardrail, is characterized in that, the setting range of described normal temperature value is 23 DEG C～27 DEG C.