CN105699042A - Communication iron tower with function of real-time monitoring - Google Patents

Abstract

The invention provides a communication iron tower with a function of real-time monitoring, and the iron tower comprises a communication iron tower body and a wind speed time history analog device disposed on the communication iron tower body. The wind speed time history analog device comprises a structural parameter monitoring module, a mean wind speed calculation module, a pulse wind speed time history calculation module for all simulation points, a wind speed time history calculation module, and a wind speed simulation display module. The mean wind speed calculation module, the pulse wind speed time history calculation module and the wind speed time history calculation module carry out calculation of monitoring data through employing a monitoring module, and the obtained wind speed time history is displayed through the wind speed simulation display module. The iron tower can achieve the quick simulation of the wind speed time history, is small in workload of simulation, is high in efficiency, and is high in precision.

Description

A kind of communication iron tower with real time monitoring function

Technical field

The present invention relates to communication iron tower design field, be specifically related to a kind of communication iron tower with real time monitoring function。

Background technology

The use of radio communication has promoted developing rapidly of wireless communication technology, and steel tower is widely used in the communications industry。Communication iron tower, also referred to as communication steel tower, is made up of steel beam column such as tower body, platform, discharging rod, cat ladder, antenna mountings, is mainly used in transmission and the transmitting etc. of microwave, ultrashort wave, wireless network signal。Owing to steel tower is arranged on open air, affected by factors such as ground environment, harsh weather, artificial destructions, the trouble free service of steel tower can be caused。For guaranteeing the trouble free service of communication iron tower, at home frequently with two kinds of steel tower maintenance modes, one is periodical safety inspection, by artificial detection；Two is the mode adopting monitoring device to monitor in real time。The first maintenance mode is necessary security protection means, and the undue experience relying on operator, exists certain subjectivity simultaneously, and some data not easily manual measurement of steel tower, therefore some problem is not easy to be found, it is impossible to steel tower is effectively monitored。Steel tower can be monitored by the second way in real time, by a large amount of historical data comparisons, analyze running status and the operation trend of steel tower, eliminate the operating potential safety hazard of steel tower to a certain extent, it is to avoid the generation of steel tower fault。

High wind is to affect the key factor that steel tower fault occurs, and wind time-domain analysis of shaking can be appreciated more fully from the wind vibration response characteristic of communication iron tower, more intuitively reacts the effectiveness of the wind vibration control of communication iron tower。Communication iron tower is carried out wind shake time-domain analysis time, it is necessary to the Wind Velocity History of communication iron tower is simulated。

Summary of the invention

For the problems referred to above, the present invention provides a kind of communication iron tower with real time monitoring function, improves the security monitoring performance of steel tower。

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

A kind of communication iron tower with real time monitoring function, including communication iron tower body and the Wind Velocity History Fast simulation device being arranged on communication iron tower body, described Fast simulation device includes:

(1) structural parameters monitoring modular, along communication iron tower short transverse, communication iron tower divided the test layer that multiple interval is identical, described data acquisition unit is installed in the position selecting two diagonal angles around the communication iron tower centre of form simultaneously, select the center position place simulation point as a Wind Velocity History of test layer, and lay described anemobiagraph and temperature sensor at the center position place of each test layer；

(2) mean wind speed calculates module, and it utilizes anemobiagraph to monitor out the wind speed total amount of every test layer, lateral angle and vertical wind speed, and taking 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 computing 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 wind speed total amount w in the maximum of the component value in x direction and minimum sum, and B is wind speed total amount w in the maximum of y durection component value and minimum sum,For local average gas pressure,For local mean temperature, P_watFor local average water vapour pressure, F_bFor the coefficient of wind pres under standard state；

(3) the fluctuating wind speed time series computing module of each simulation point, including the pulsating wind power spectrum of the fluctuating wind speed time series generating described each simulation point, when carrying out the simulation of pulsating wind power spectrum, introduces temperature correction coefficientWherein T₀For the standard temperature set, T is monitored, by described temperature sensor, the average temperature value obtained in real time, 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 according to communication iron tower structure choice, and g is according to mean wind speed W_(i)The frequency chosen intercepts higher limit；

(4) Wind Velocity History computing module, including microprocessor, described microprocessor utilizes harmony superposition that mean wind speed and the fluctuating wind speed time series at same position place are overlapped, and obtains the Wind Velocity History of each simulation point；

(5) wind speed simulation display module, including the isolated amplifier being sequentially connected with and digital display screen, the input of described isolated amplifier is connected with described wechat processor。

Wherein, described frequency intercept higher limit range for 3hZ～5hZ。

Wherein, the set point of described standard temperature value is 23 DEG C～27 DEG C。

The invention have the benefit that

1, on communication iron tower body, it is mounted with Wind Velocity History Fast simulation device, it is simple to the timely acquisition of communication iron tower Wind Velocity History feature, improves himself monitoring performance；

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

3, described analog is based on, on the basis of harmony superposition, being optimized the computing formula of mean wind speed and fluctuating wind speed, decreases the workload of calculating, improves the efficiency of wind velocity history；

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 communication iron tower is more accurate。

Accompanying drawing explanation

The invention will be further described to utilize accompanying drawing, but the embodiment in accompanying drawing does not constitute any limitation of the invention, for those of ordinary skill in the art, under the premise 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 Velocity History each module of Fast simulation device of the present invention。

Accompanying drawing labelling:

Structural parameters monitoring modular 1, mean wind speed calculate module 2, the fluctuating wind speed time series computing module 3 of each simulation point, Wind Velocity History 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 one

Referring to Fig. 1, the communication iron tower of the present embodiment includes communication iron tower body and is arranged on the Wind Velocity History Fast simulation device of communication iron tower body, and described Fast simulation device includes:

(1) structural parameters monitoring modular 1, it includes anemobiagraph, temperature sensor and data acquisition unit, along communication iron tower short transverse, communication iron tower divided the test layer that multiple interval is identical, described data acquisition unit is installed in the position selecting two diagonal angles around the communication iron tower centre of form simultaneously, select the center position place simulation point as a Wind Velocity History of test layer, and lay described anemobiagraph and temperature sensor at the center position place of each test layer；

(2) mean wind speed calculates module 2, and it utilizes anemobiagraph to monitor out the wind speed total amount of every test layer, lateral angle and vertical wind speed, and taking 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 computing 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 wind speed total amount w in the maximum of the component value in x direction and minimum sum, and B is wind speed total amount w in the maximum of y durection component value and minimum sum,For local average gas pressure,For local mean temperature, P_watFor local average water vapour pressure, F_bFor the coefficient of wind pres under standard state；

(3) the fluctuating wind speed time series computing module 3 of each simulation point, including the pulsating wind power spectrum of the fluctuating wind speed time series generating described each simulation point, when carrying out the simulation of pulsating wind power spectrum, introduces temperature correction coefficientWherein T₀For the standard temperature set, T is monitored, by described temperature sensor, the average temperature value obtained in real time, 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 according to communication iron tower structure choice, and g is according to mean wind speed W_(i)The frequency chosen intercepts higher limit；

(4) Wind Velocity History computing module 4, including microprocessor, described microprocessor utilizes harmony superposition that mean wind speed and the fluctuating wind speed time series at same position place are overlapped, and obtains the Wind Velocity History of each simulation point；

(5) wind speed simulation display module 5, including the isolated amplifier being sequentially connected with and digital display screen, the input of described isolated amplifier is connected with described wechat processor。

The communication iron tower of the present embodiment has real time monitoring function, it adopts anemobiagraph, temperature sensor and data acquisition unit to carry out monitoring and the collection of wind velocity history data, instead of conventional art artificial excitation and expensive excitational equipment, reduce cost, practical convenient；Mean wind speed correction coefficient Q is introduced when calculating mean wind speed, temperature correction coefficient K is introduced when calculating fluctuating wind speed time series, the wind velocity history making communication iron tower is more accurate, wherein established standards temperature T0 is 23 DEG C, setting intercepting upper frequency limit value as 3hZ, the simulation precision of the Wind Velocity History of each simulation point finally obtained brings up to 95.8%；Based on, on the basis of harmony superposition, the computing formula of mean wind speed and fluctuating wind speed being optimized, decrease the workload of calculating, it is possible to simulating Wind Velocity History rapidly, simulation precision improves 2% relative to prior art。

Embodiment two

Referring to Fig. 1, the communication iron tower of the present embodiment includes communication iron tower body and is arranged on the Wind Velocity History Fast simulation device of communication iron tower body, and described Fast simulation device includes:

(1) structural parameters monitoring modular 1, it includes anemobiagraph, temperature sensor and data acquisition unit, along communication iron tower short transverse, communication iron tower divided the test layer that multiple interval is identical, described data acquisition unit is installed in the position selecting two diagonal angles around the communication iron tower centre of form simultaneously, select the center position place simulation point as a Wind Velocity History of test layer, and lay described anemobiagraph and temperature sensor at the center position place of each test layer；

(2) mean wind speed calculates module 2, and it utilizes anemobiagraph to monitor out the wind speed total amount of every test layer, lateral angle and vertical wind speed, and taking 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 computing formula of a mean wind speed adopting the time is:

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

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

(3) the fluctuating wind speed time series computing module 3 of each simulation point, including the pulsating wind power spectrum of the fluctuating wind speed time series generating described each simulation point, when carrying out the simulation of pulsating wind power spectrum, introduces temperature correction coefficientWherein T₀For the standard temperature set, T is monitored, by described temperature sensor, the average temperature value obtained in real time, 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 according to communication iron tower structure choice, and g is according to mean wind speed W_(i)The frequency chosen intercepts higher limit；

(4) Wind Velocity History computing module 4, including microprocessor, described microprocessor utilizes harmony superposition that mean wind speed and the fluctuating wind speed time series at same position place are overlapped, and obtains the Wind Velocity History of each simulation point；

(5) wind speed simulation display module 5, including the isolated amplifier being sequentially connected with and digital display screen, the input of described isolated amplifier is connected with described wechat processor。

The communication iron tower of the present embodiment has real time monitoring function, it adopts anemobiagraph, temperature sensor and data acquisition unit to carry out monitoring and the collection of wind velocity history data, instead of conventional art artificial excitation and expensive excitational equipment, reduce cost, practical convenient；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 communication iron tower is more accurate, wherein established standards temperature T₀Being 23 DEG C, set intercepting upper frequency limit value as 4hZ, the simulation precision of the Wind Velocity History of each simulation point finally obtained brings up to 96%；Based on, on the basis of harmony superposition, the computing formula of mean wind speed and fluctuating wind speed being optimized, decreasing the workload of calculating, it is possible to simulation identification Wind Velocity History rapidly, simulation identification efficiency improves 3% relative to prior art。

Embodiment three

Referring to Fig. 1, the communication iron tower of the present embodiment includes communication iron tower body and is arranged on the Wind Velocity History Fast simulation device of communication iron tower body, and described Fast simulation device includes:

(1) structural parameters monitoring modular 1, it includes anemobiagraph, temperature sensor and data acquisition unit, along communication iron tower short transverse, communication iron tower divided the test layer that multiple interval is identical, described data acquisition unit is installed in the position selecting two diagonal angles around the communication iron tower centre of form simultaneously, select the center position place simulation point as a Wind Velocity History of test layer, and lay described anemobiagraph and temperature sensor at the center position place of each test layer；

(2) mean wind speed calculates module 2, and it utilizes anemobiagraph to monitor out the wind speed total amount of every test layer, lateral angle and vertical wind speed, and taking 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 computing formula of a mean wind speed adopting the time is:

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

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

(3) the fluctuating wind speed time series computing module 3 of each simulation point, including the pulsating wind power spectrum of the fluctuating wind speed time series generating described each simulation point, when carrying out the simulation of pulsating wind power spectrum, introduces temperature correction coefficientWherein T₀For the standard temperature set, T is monitored, by described temperature sensor, the average temperature value obtained in real time, 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 according to communication iron tower structure choice, and g is according to mean wind speed W_(i)The frequency chosen intercepts higher limit；

(4) Wind Velocity History computing module 4, including microprocessor, described microprocessor utilizes harmony superposition that mean wind speed and the fluctuating wind speed time series at same position place are overlapped, and obtains the Wind Velocity History of each simulation point；

(5) wind speed simulation display module 5, including the isolated amplifier being sequentially connected with and digital display screen, the input of described isolated amplifier is connected with described wechat processor。

The communication iron tower of the present embodiment has real time monitoring function, it adopts anemobiagraph, temperature sensor and data acquisition unit to carry out monitoring and the collection of wind velocity history data, instead of conventional art artificial excitation and expensive excitational equipment, reduce cost, practical convenient；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 communication iron tower is more accurate, wherein established standards temperature T₀Being 23 DEG C, set intercepting upper frequency limit value as 5hZ, the simulation precision of the Wind Velocity History of each simulation point finally obtained brings up to 94.8%；Based on, on the basis of harmony superposition, the computing formula of mean wind speed and fluctuating wind speed being optimized, decreasing the workload of calculating, it is possible to simulation identification Wind Velocity History rapidly, simulation identification efficiency improves 3.5% relative to prior art。

Embodiment four

Referring to Fig. 1, the communication iron tower of the present embodiment includes communication iron tower body and is arranged on the Wind Velocity History Fast simulation device of communication iron tower body, and described Fast simulation device includes:

(1) structural parameters monitoring modular 1, it includes anemobiagraph, temperature sensor and data acquisition unit, along communication iron tower short transverse, communication iron tower divided the test layer that multiple interval is identical, described data acquisition unit is installed in the position selecting two diagonal angles around the communication iron tower centre of form simultaneously, select the center position place simulation point as a Wind Velocity History of test layer, and lay described anemobiagraph and temperature sensor at the center position place of each test layer；

(2) mean wind speed calculates module 2, and it utilizes anemobiagraph to monitor out the wind speed total amount of every test layer, lateral angle and vertical wind speed, and taking 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 computing 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 wind speed total amount w in the maximum of the component value in x direction and minimum sum, and B is wind speed total amount w in the maximum of y durection component value and minimum sum,For local average gas pressure,For local mean temperature, P_watFor local average water vapour pressure, F_bFor the coefficient of wind pres under standard state；

(3) the fluctuating wind speed time series computing module 3 of each simulation point, including the pulsating wind power spectrum of the fluctuating wind speed time series generating described each simulation point, when carrying out the simulation of pulsating wind power spectrum, introduces temperature correction coefficientWherein T₀For the standard temperature set, T is monitored, by described temperature sensor, the average temperature value obtained in real time, 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 according to communication iron tower structure choice, and g is according to mean wind speed W_(i)The frequency chosen intercepts higher limit；

(4) Wind Velocity History computing module 4, including microprocessor, described microprocessor utilizes harmony superposition that mean wind speed and the fluctuating wind speed time series at same position place are overlapped, and obtains the Wind Velocity History of each simulation point；

(5) wind speed simulation display module 5, including the isolated amplifier being sequentially connected with and digital display screen, the input of described isolated amplifier is connected with described wechat processor。

The communication iron tower of the present embodiment has real time monitoring function, it adopts anemobiagraph, temperature sensor and data acquisition unit to carry out monitoring and the collection of wind velocity history data, instead of conventional art artificial excitation and expensive excitational equipment, reduce cost, practical convenient；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 communication iron tower is more accurate, wherein established standards temperature T₀Being 27 DEG C, set intercepting upper frequency limit value as 3hZ, the simulation precision of the Wind Velocity History of each simulation point finally obtained brings up to 95.7%；Based on, on the basis of harmony superposition, the computing formula of mean wind speed and fluctuating wind speed being optimized, decreasing the workload of calculating, it is possible to simulation identification Wind Velocity History rapidly, simulation identification efficiency improves 4% relative to prior art。

Embodiment five

Referring to Fig. 1, the communication iron tower of the present embodiment includes communication iron tower body and is arranged on the Wind Velocity History Fast simulation device of communication iron tower body, and described Fast simulation device includes:

(1) structural parameters monitoring modular 1, it includes anemobiagraph, temperature sensor and data acquisition unit, along communication iron tower short transverse, communication iron tower divided the test layer that multiple interval is identical, described data acquisition unit is installed in the position selecting two diagonal angles around the communication iron tower centre of form simultaneously, select the center position place simulation point as a Wind Velocity History of test layer, and lay described anemobiagraph and temperature sensor at the center position place of each test layer；

(2) mean wind speed calculates module 2, and it utilizes anemobiagraph to monitor out the wind speed total amount of every test layer, lateral angle and vertical wind speed, and taking 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 computing 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 wind speed total amount w in the maximum of the component value in x direction and minimum sum, and B is wind speed total amount w in the maximum of y durection component value and minimum sum,For local average gas pressure,For local mean temperature, P_watFor local average water vapour pressure, F_bFor the coefficient of wind pres under standard state；

(3) the fluctuating wind speed time series computing module 3 of each simulation point, including the pulsating wind power spectrum of the fluctuating wind speed time series generating described each simulation point, when carrying out the simulation of pulsating wind power spectrum, introduces temperature correction coefficientWherein T₀For the standard temperature set, T is monitored, by described temperature sensor, the average temperature value obtained in real time, 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 according to communication iron tower structure choice, and g is according to mean wind speed W_(i)The frequency chosen intercepts higher limit；

(4) Wind Velocity History computing module 4, including microprocessor, described microprocessor utilizes harmony superposition that mean wind speed and the fluctuating wind speed time series at same position place are overlapped, and obtains the Wind Velocity History of each simulation point；

(5) wind speed simulation display module 5, including the isolated amplifier being sequentially connected with and digital display screen, the input of described isolated amplifier is connected with described wechat processor。

The communication iron tower of the present embodiment has real time monitoring function, it adopts anemobiagraph, temperature sensor and data acquisition unit to carry out monitoring and the collection of wind velocity history data, instead of conventional art artificial excitation and expensive excitational equipment, reduce cost, practical convenient；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 communication iron tower is more accurate, wherein established standards temperature T₀Being 27 DEG C, set intercepting upper frequency limit value as 5hZ, the simulation precision of the Wind Velocity History of each simulation point finally obtained brings up to 96.5%；Based on, on the basis of harmony superposition, the computing formula of mean wind speed and fluctuating wind speed being optimized, decreasing the workload of calculating, it is possible to simulation identification Wind Velocity History rapidly, simulation identification efficiency improves 2.5% relative to prior art。

Finally should be noted that; above example is only in order to illustrate technical scheme; but not limiting the scope of the invention; although having made to explain to the present invention with reference to preferred embodiment; it will be understood by those within the art that; technical scheme can be modified or equivalent replacement, without deviating from the spirit and scope of technical solution of the present invention。

Claims (4)

1. having a communication iron tower for real time monitoring function, including communication iron tower body and the Wind Velocity History Fast simulation device being arranged on communication iron tower body, it is characterized in that, described Fast simulation device includes:

(1) structural parameters monitoring modular, it includes anemobiagraph, temperature sensor and data acquisition unit, along communication iron tower short transverse, communication iron tower divided the test layer that multiple interval is identical, described data acquisition unit is installed in the position selecting two diagonal angles around the communication iron tower centre of form simultaneously, select the center position place simulation point as a Wind Velocity History of test layer, and lay described anemobiagraph and temperature sensor at the center position place of each test layer；

(2) mean wind speed calculates module, and it utilizes anemobiagraph to monitor out the wind speed total amount of every test layer, lateral angle and vertical wind speed, and taking 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 computing formula of a mean wind speed adopting the time is:

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

(3) the fluctuating wind speed time series computing module of each simulation point, including the pulsating wind power spectrum of the fluctuating wind speed time series generating described each simulation point；

(4) Wind Velocity History computing module, including microprocessor, described microprocessor utilizes harmony superposition that mean wind speed and the fluctuating wind speed time series at same position place are overlapped, and obtains the Wind Velocity History of each simulation point；

(5) wind speed simulation display module, including the isolated amplifier being sequentially connected with and digital display screen, the input of described isolated amplifier is connected with described microprocessor。

2. a kind of communication iron tower with real time monitoring function 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 set, T is monitored, by described temperature sensor, the average temperature value obtained in real time, 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 according to communication iron tower structure choice, and g is according to mean wind speed W_(i)The frequency chosen intercepts higher limit。

3. a kind of communication iron tower with real time monitoring function according to claim 1, is characterized in that, described frequency intercept higher limit range for 3hZ～5hZ。

4. a kind of communication iron tower with real time monitoring function according to claim 2, is characterized in that, the set point of described standard temperature value is 23 DEG C～27 DEG C。