CN105763629A - Building pitched roof girder structure health monitoring device - Google Patents

Abstract

The invention provides a building pitched roof girder structure health monitoring device comprising a sensor network node and a monitoring center server, wherein the sensor network node is arranged on a part being monitored and is connected with the monitoring center server via a local area network, and the monitoring center server provides data service or sends early warning information to a remote user via a network; the sensor network node comprises a sensor network positioning module used for localization via adoption of an ellipse localization method, a sensor restraining module used for restraining cost and energy of a sensor, a self-powered module which supplies energy via use of a dye-sensitized photocell and a data correction module. The building pitched roof girder structure health monitoring device is long in service life and high in monitoring precision, sensor network node positioning speed is improved, cost and energy of the sensor can be restrained, and monitoring cost can be saved to a maximum extent.

Description

A kind of building sloping roof beam monitoring structural health conditions device

Technical field

The present invention relates to building structure health monitoring application, be specifically related to a kind of building sloping roof beam monitoring structural health conditions device.

Background technology

In structural safety is monitored, sensor is often distributed in the weak spot of the crucial stress point in building or structure.These measuring point positions are relatively decentralized, and owing to the type difference of fabric structure also tends to be positioned at different positions.Growth along with the passage of monitoring time and sensing data volume, there is bigger difficulty in the tissue in the management of sensor, sensing data, and the data collected for sensor network nodes must be just meaningful at the positional information measured in coordinate system in conjunction with it.

Additionally, the working sensor energy consumption that uses of monitoring is big and is easily subject to the impact of the environment such as temperature, causes that the data precision measured by sensor reduces, and have impact on precision and the cost of structure monitoring further.

Summary of the invention

For the problems referred to above, the present invention provide a kind of can quickly alignment sensor network node, the expense of sensor and energy are retrained simultaneously, building sloping roof beam monitoring structural health conditions device that degree of accuracy is higher.

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

A kind of building sloping roof beam monitoring structural health conditions device, including sensor network nodes, LAN, monitoring center's server and short message alarm module, described sensor network nodes is arranged in tested position and is connected by LAN with monitoring center server, monitoring center's server provides data, services by network to long-distance user or sends early warning information, early warning note is sent also by short message alarm module, it is characterized in that, described sensor network nodes includes:

(1) location in sensors network module, for obtaining sensor network nodes own location information, it includes the task-driven submodule, locator module and the signal processing submodule that are sequentially connected with, described task-driven submodule is connected with monitoring center server by LAN, task-driven submodule drives locator module to obtain the own location information of ad-hoc network of sensors node, and own location information is delivered to after the own location information of the described signal processing submodule described ad-hoc network of sensors node of reading described monitoring center server；Described locator module adopts oval positioning mode to position, and arranges the coordinate of sensor network nodes for (x, y), the coordinate of reference mode is (x during location_n,y_n), n=A, B, C, D, with (x_A,y_A) as the coordinate of the first reference mode, with (x_m,y_m) as the coordinate of the second reference mode, positioning equation is:

$\sqrt{{(x-x_m)}^2+{(y-y_m)}^2}+\sqrt{{(x-x_A)}^2+{(y-y_A)}^2}=d_{Am}$

Wherein, m=B, C, D, d_AmFor sensor network nodes to the first reference mode, the second reference mode distance and, solving equation obtains the position of sensor；

(2) sensor constraints module, for expense and the energy of sensor are retrained, is expressed as undirected cum rights connection figure W=(N, L) by sensor network, and N represents that number of network node, L represent two-way link collection, and constraint function is:

$f=\frac{1}{\[{\mathrm{\Σ}}_{l\∈L}c\left(l\right)+{\mathrm{\Σ}}_{n\∈N}c\left(n\right)\]\[{\mathrm{\Σ}}_{l\∈L}p\left(l\right)+{\mathrm{\Σ}}_{n\∈N}p\left(n\right)\]}({\mathrm{Af}}_b+{\mathrm{Bf}}_d+{\mathrm{Cf}}_{dj}+{\mathrm{Df}}_{pl})$

Wherein, f_b、f_d、f_dj、f_plRespectively bandwidth, time delay, delay jitter, packet loss penalty, A, B, C, D be f respectively_b、f_d、f_dj、f_plWeight coefficient, [∑_l∈LC (l)+∑_n∈NC (n)] for expense restriction, [∑_l∈Lp(l)+∑_n∈NP (n)] for energy constraint；

When sensor network route meets bandwidth, time delay, delay jitter, packet loss constraints, f_b、f_d、f_dj、f_plValue be all 1, other situation f_b、f_d、f_dj、f_plValue all in (0,1) scope, expense restriction and energy constraint should take minima when meeting bandwidth, time delay, delay jitter and packet loss constraint；

(3) self-powered module, for sensor energy supply, it includes can to the coloring matter sensitization type light cell of the lasting energy supply of sensor under illumination condition；

Further, described building sloping roof beam monitoring structural health conditions device also includes data correction module and the power detecting module being connected with signal processing submodule；

Described data correction module is for being corrected the data of sensor acquisition, and the data after correction are sent to monitoring center's server, arrange correction factorWherein T₀For local mean temperature, T is real time temperature during sensor acquisition data, and m is the correction factor selected according to sensor type, arranges the value of m in (0,0.05) scope, then

T≥T₀Time, updating formula is:

$Y_x=Y\·(1-{\mathrm{me}}^{-(\sqrt{\left|\frac{T-T_0}{T}\right|}+0.001)})$

T < T₀Time, updating formula is:

$Y_x=Y\&CenterDot;(1+{\mathrm{me}}^{-(\sqrt{\left|\frac{T-T_0}{T}\right|}+0.001)})$

Wherein, Y is by the one of sensor acquisition group of data, Y_xFor data after correction；

Described signal processing submodule reads the power information of the sensor network nodes of power detecting module detection, and then sends the power information of sensor network nodes to described monitoring center server.

Further, before gathering data, adopting the clock that TPSN algorithm realizes wireless sensor network to synchronize, be specially the local clock at node place to be synchronized plus clock jitter, the clock completing node synchronizes.

The invention have the benefit that

1, sensor network nodes being positioned is the premise of accurate measurements, the location in sensors network module adopting oval positioning mode is set, simplify location Calculation, accelerate the locating speed of sensor network nodes, set up rapidly the monitoring system to building sloping roof beam；

2, by setting sensor constraints module, for expense and the energy of sensor are retrained, it is possible to save monitoring cost to greatest extent under the premise that building sloping roof beam is carried out effectively monitoring；

3, after general sensor node uses a period of time, self-contained power depletion and lost efficacy, be arranged under illumination condition to sensor continue energy supply coloring matter sensitization type light cell, extend building sloping roof beam monitoring device service life；

4, it is arranged to the data correction module that the data of sensor acquisition are corrected, improves the monitoring accuracy of building sloping roof beam monitoring structural health conditions device.

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 each intermodule of the present invention.

Detailed description of the invention

The invention will be further described with the following Examples.

Embodiment 1

Referring to Fig. 1, the present embodiment one building sloping roof beam monitoring structural health conditions device, including sensor network nodes, LAN, monitoring center's server and short message alarm module, described sensor network nodes is arranged in tested position and is connected by LAN with monitoring center server, monitoring center's server provides data, services by network to long-distance user or sends early warning information, early warning note is sent also by short message alarm module, it is characterized in that, described sensor network nodes includes:

(1) location in sensors network module, for obtaining sensor network nodes own location information, it includes the task-driven submodule, locator module and the signal processing submodule that are sequentially connected with, described task-driven submodule is connected with monitoring center server by LAN, task-driven submodule drives locator module to obtain the own location information of ad-hoc network of sensors node, and own location information is delivered to after the own location information of the described signal processing submodule described ad-hoc network of sensors node of reading described monitoring center server；Described locator module adopts oval positioning mode to position, and arranges the coordinate of sensor network nodes for (x, y), the coordinate of reference mode is (x during location_n,y_n), n=A, B, C, D, with (x_A,y_A) as the coordinate of the first reference mode, with (x_m,y_m) as the coordinate of the second reference mode, positioning equation is:

$\sqrt{{(x-x_m)}^2+{(y-y_m)}^2}+\sqrt{{(x-x_A)}^2+{(y-y_A)}^2}=d_{Am}$

Wherein, m=B, C, D, d_AmFor sensor network nodes to the first reference mode, the second reference mode distance and, solving equation obtains the position of sensor；

(2) sensor constraints module, for expense and the energy of sensor are retrained, is expressed as undirected cum rights connection figure W=(N, L) by sensor network, and N represents that number of network node, L represent two-way link collection, and constraint function is:

$f=\frac{1}{\&lsqb;{\mathrm{\&Sigma;}}_{l\&Element;L}c\left(l\right)+{\mathrm{\&Sigma;}}_{n\&Element;N}c\left(n\right)\&rsqb;\&lsqb;{\mathrm{\&Sigma;}}_{l\&Element;L}p\left(l\right)+{\mathrm{\&Sigma;}}_{n\&Element;N}p\left(n\right)\&rsqb;}({\mathrm{Af}}_b+{\mathrm{Bf}}_d+{\mathrm{Cf}}_{dj}+{\mathrm{Df}}_{pl})$

Wherein, f_b、f_d、f_dj、f_plRespectively bandwidth, time delay, delay jitter, packet loss penalty, A, B, C, D be f respectively_b、f_d、f_dj、f_plWeight coefficient, [∑_l∈Lc(l)+∑_n∈NC (n)] for expense restriction, [∑_l∈Lp(l)+∑_n∈NP (n)] for energy constraint；

When sensor network route meets bandwidth, time delay, delay jitter, packet loss constraints, f_b、f_d、f_dj、f_plValue be all 1, other situation f_b、f_d、f_dj、f_plValue all in (0,1) scope, expense restriction and energy constraint should take minima when meeting bandwidth, time delay, delay jitter and packet loss constraint；

(3) self-powered module, for sensor energy supply, it includes can to the coloring matter sensitization type light cell of the lasting energy supply of sensor under illumination condition；

Further, described building sloping roof beam monitoring structural health conditions device also includes data correction module and the power detecting module being connected with signal processing submodule；

Described data correction module is for being corrected the data of sensor acquisition, and the data after correction are sent to monitoring center's server, arrange correction factorWherein T₀For local mean temperature, T is real time temperature during sensor acquisition data, and m is the correction factor selected according to sensor type, arranges the value of m in (0,0.05) scope, then

T≥T₀Time, updating formula is:

$Y_x=Y\&CenterDot;(1-{\mathrm{me}}^{-(\sqrt{\left|\frac{T-T_0}{T}\right|}+0.001)})$

T < T₀Time, updating formula is:

$Y_x=Y\&CenterDot;(1+{\mathrm{me}}^{-(\sqrt{\left|\frac{T-T_0}{T}\right|}+0.001)})$

Wherein, Y is by the one of sensor acquisition group of data, Y_xFor data after correction；

Described signal processing submodule reads the power information of the sensor network nodes of power detecting module detection, and then sends the power information of sensor network nodes to described monitoring center server.

Further, before gathering data, adopting the clock that TPSN algorithm realizes wireless sensor network to synchronize, be specially the local clock at node place to be synchronized plus clock jitter, the clock completing node synchronizes.

The present embodiment accelerates the locating speed of sensor network nodes, is arranged under illumination condition and extends, to the coloring matter sensitization type light cell of the lasting energy supply of sensor, the service life monitoring device；Sensor network route meets bandwidth, time delay, delay jitter, packet loss constraints, f_b、f_d、f_dj、f_plValue be all 1, monitoring cost relative reduction 10%；Being 0.01 according to the correction factor m value that sensor type selects, monitoring accuracy improves 2% relatively.

Embodiment 2

Referring to Fig. 1, the present embodiment one building sloping roof beam monitoring structural health conditions device, including sensor network nodes, LAN, monitoring center's server and short message alarm module, described sensor network nodes is arranged in tested position and is connected by LAN with monitoring center server, monitoring center's server provides data, services by network to long-distance user or sends early warning information, early warning note is sent also by short message alarm module, it is characterized in that, described sensor network nodes includes:

(1) location in sensors network module, for obtaining sensor network nodes own location information, it includes the task-driven submodule, locator module and the signal processing submodule that are sequentially connected with, described task-driven submodule is connected with monitoring center server by LAN, task-driven submodule drives locator module to obtain the own location information of ad-hoc network of sensors node, and own location information is delivered to after the own location information of the described signal processing submodule described ad-hoc network of sensors node of reading described monitoring center server；Described locator module adopts oval positioning mode to position, and arranges the coordinate of sensor network nodes for (x, y), the coordinate of reference mode is (x during location_n,y_n), n=A, B, C, D, with (x_A,y_A) as the coordinate of the first reference mode, with (x_m,y_m) as the coordinate of the second reference mode, positioning equation is:

$\sqrt{{(x-x_m)}^2+{(y-y_m)}^2}+\sqrt{{(x-x_A)}^2+{(y-y_A)}^2}=d_{Am}$

Wherein, m=B, C, D, d_AmFor sensor network nodes to the first reference mode, the second reference mode distance and, solving equation obtains the position of sensor；

(2) sensor constraints module, for expense and the energy of sensor are retrained, is expressed as undirected cum rights connection figure W=(N, L) by sensor network, and N represents that number of network node, L represent two-way link collection, and constraint function is:

$f=\frac{1}{\&lsqb;{\&Sigma;}_{l\&Element;L}c\left(l\right)+{\&Sigma;}_{l\&Element;N}c\left(n\right)\&rsqb;\&lsqb;{\&Sigma;}_{l\&Element;L}p\left(l\right)+{\&Sigma;}_{l\&Element;N}p\left(n\right)\&rsqb;}({\mathrm{Af}}_b+{\mathrm{Bf}}_d+{\mathrm{Cf}}_{dj}+{\mathrm{Df}}_{pl})$

Wherein, f_b、f_d、f_dj、f_plRespectively bandwidth, time delay, delay jitter, packet loss penalty, A, B, C, D be f respectively_b、f_d、f_dj、f_plWeight coefficient, [∑_l∈Lc(l)+∑_n∈NC (n)] for expense restriction, [∑_l∈Lp(l)+∑_n∈NP (n)] for energy constraint；

When sensor network route meets bandwidth, time delay, delay jitter, packet loss constraints, f_b、f_d、f_dj、f_plValue be all 1, other situation f_b、f_d、f_dj、f_plValue all in (0,1) scope, expense restriction and energy constraint should take minima when meeting bandwidth, time delay, delay jitter and packet loss constraint；

(3) self-powered module, for sensor energy supply, it includes can to the coloring matter sensitization type light cell of the lasting energy supply of sensor under illumination condition；

Further, described building sloping roof beam monitoring structural health conditions device also includes data correction module and the power detecting module being connected with signal processing submodule；

Described data correction module is for being corrected the data of sensor acquisition, and the data after correction are sent to monitoring center's server, arrange correction factorWherein T₀For local mean temperature, T is real time temperature during sensor acquisition data, and m is the correction factor selected according to sensor type, arranges the value of m in (0,0.05) scope, then

T≥T₀Time, updating formula is:

$Y_x=Y\&CenterDot;(1-{\mathrm{me}}^{-(\sqrt{\left|\frac{T-T_0}{T}\right|}+0.001)})$

T < T₀Time, updating formula is:

$Y_x=Y\&CenterDot;(1+{\mathrm{me}}^{-(\sqrt{\left|\frac{T-T_0}{T}\right|}+0.001)})$

Wherein, Y is by the one of sensor acquisition group of data, Y_xFor data after correction；

Described signal processing submodule reads the power information of the sensor network nodes of power detecting module detection, and then sends the power information of sensor network nodes to described monitoring center server.

Further, before gathering data, adopting the clock that TPSN algorithm realizes wireless sensor network to synchronize, be specially the local clock at node place to be synchronized plus clock jitter, the clock completing node synchronizes.

The present embodiment accelerates the locating speed of sensor network nodes, is arranged under illumination condition and extends, to the coloring matter sensitization type light cell of the lasting energy supply of sensor, the service life monitoring device；Sensor network route is unsatisfactory for bandwidth, time delay, delay jitter, packet loss constraints, f_b、f_d、f_dj、f_plValue be all 0.2, monitoring cost relative reduction 15%；Being 0.02 according to the correction factor m value that sensor type selects, monitoring accuracy improves 3% relatively.

Embodiment 3

Referring to Fig. 1, the present embodiment one building sloping roof beam monitoring structural health conditions device, including sensor network nodes, LAN, monitoring center's server and short message alarm module, described sensor network nodes is arranged in tested position and is connected by LAN with monitoring center server, monitoring center's server provides data, services by network to long-distance user or sends early warning information, early warning note is sent also by short message alarm module, it is characterized in that, described sensor network nodes includes:

(1) location in sensors network module, for obtaining sensor network nodes own location information, it includes the task-driven submodule, locator module and the signal processing submodule that are sequentially connected with, described task-driven submodule is connected with monitoring center server by LAN, task-driven submodule drives locator module to obtain the own location information of ad-hoc network of sensors node, and own location information is delivered to after the own location information of the described signal processing submodule described ad-hoc network of sensors node of reading described monitoring center server；Described locator module adopts oval positioning mode to position, and arranges the coordinate of sensor network nodes for (x, y), the coordinate of reference mode is (x during location_n,y_n), n=A, B, C, D, with (x_A,y_A) as the coordinate of the first reference mode, with (x_m,y_m) as the coordinate of the second reference mode, positioning equation is:

$\sqrt{{(x-x_m)}^2+{(y-y_m)}^2}+\sqrt{{(x-x_A)}^2+{(y-y_A)}^2}=d_{Am}$

Wherein, m=B, C, D, d_AmFor sensor network nodes to the first reference mode, the second reference mode distance and, solving equation obtains the position of sensor；

(2) sensor constraints module, for expense and the energy of sensor are retrained, is expressed as undirected cum rights connection figure W=(N, L) by sensor network, and N represents that number of network node, L represent two-way link collection, and constraint function is:

$f=\frac{1}{\&lsqb;{\&Sigma;}_{l\&Element;L}c\left(l\right)+{\&Sigma;}_{n\&Element;N}c\left(n\right)\&rsqb;\&lsqb;{\&Sigma;}_{l\&Element;L}p\left(l\right)+{\&Sigma;}_{n\&Element;N}p\left(n\right)\&rsqb;}({\mathrm{Af}}_b+{\mathrm{Bf}}_d+{\mathrm{Cf}}_{dj}+{\mathrm{Df}}_{pl})$

Wherein, f_b、f_d、f_dj、f_plRespectively bandwidth, time delay, delay jitter, packet loss penalty, A, B, C, D be f respectively_b、f_d、f_dj、f_plWeight coefficient, [∑_l∈LC (l)+∑_n∈NC (n)] for expense restriction, [∑_l∈Lp(l)+∑_n∈NP (n)] for energy constraint；

When sensor network route meets bandwidth, time delay, delay jitter, packet loss constraints, f_b、f_d、f_dj、f_plValue be all 1, other situation f_b、f_d、f_dj、f_plValue all in (0,1) scope, expense restriction and energy constraint should take minima when meeting bandwidth, time delay, delay jitter and packet loss constraint；

(3) self-powered module, for sensor energy supply, it includes can to the coloring matter sensitization type light cell of the lasting energy supply of sensor under illumination condition；

Further, described building sloping roof beam monitoring structural health conditions device also includes data correction module and the power detecting module being connected with signal processing submodule；

Described data correction module is for being corrected the data of sensor acquisition, and the data after correction are sent to monitoring center's server, arrange correction factorWherein T₀For local mean temperature, T is real time temperature during sensor acquisition data, and m is the correction factor selected according to sensor type, arranges the value of m in (0,0.05) scope, then

T≥T₀Time, updating formula is:

$Y_x=Y\&CenterDot;(1-{\mathrm{me}}^{-(\sqrt{\left|\frac{T-T_0}{T}\right|}+0.001)})$

T < T₀Time, updating formula is:

$Y_x=Y\&CenterDot;(1+{\mathrm{me}}^{-(\sqrt{\left|\frac{T-T_0}{T}\right|}+0.001)})$

Wherein, Y is by the one of sensor acquisition group of data, Y_xFor data after correction；

Described signal processing submodule reads the power information of the sensor network nodes of power detecting module detection, and then sends the power information of sensor network nodes to described monitoring center server.

Further, before gathering data, adopting the clock that TPSN algorithm realizes wireless sensor network to synchronize, be specially the local clock at node place to be synchronized plus clock jitter, the clock completing node synchronizes.

The present embodiment accelerates the locating speed of sensor network nodes, is arranged under illumination condition and extends, to the coloring matter sensitization type light cell of the lasting energy supply of sensor, the service life monitoring device；Sensor network route is unsatisfactory for bandwidth, time delay, delay jitter, packet loss constraints, f_b、f_d、f_dj、f_plValue be all 0.4, monitoring cost relative reduction 8%；Being 0.03 according to the correction factor m value that sensor type selects, monitoring accuracy improves 5% relatively.

Embodiment 4

Referring to Fig. 1, the present embodiment one building sloping roof beam monitoring structural health conditions device, including sensor network nodes, LAN, monitoring center's server and short message alarm module, described sensor network nodes is arranged in tested position and is connected by LAN with monitoring center server, monitoring center's server provides data, services by network to long-distance user or sends early warning information, early warning note is sent also by short message alarm module, it is characterized in that, described sensor network nodes includes:

(1) location in sensors network module, for obtaining sensor network nodes own location information, it includes the task-driven submodule, locator module and the signal processing submodule that are sequentially connected with, described task-driven submodule is connected with monitoring center server by LAN, task-driven submodule drives locator module to obtain the own location information of ad-hoc network of sensors node, and own location information is delivered to after the own location information of the described signal processing submodule described ad-hoc network of sensors node of reading described monitoring center server；Described locator module adopts oval positioning mode to position, and arranges the coordinate of sensor network nodes for (x, y), the coordinate of reference mode is (x during location_n,y_n), n=A, B, C, D, with (x_A,y_A) as the coordinate of the first reference mode, with (x_m,y_m) as the coordinate of the second reference mode, positioning equation is:

$\sqrt{{(x-x_m)}^2+{(y-y_m)}^2}+\sqrt{{(x-x_A)}^2+{(y-y_A)}^2}=d_{Am}$

Wherein, m=B, C, D, d_AmFor sensor network nodes to the first reference mode, the second reference mode distance and, solving equation obtains the position of sensor；

(2) sensor constraints module, for expense and the energy of sensor are retrained, is expressed as undirected cum rights connection figure W=(N, L) by sensor network, and N represents that number of network node, L represent two-way link collection, and constraint function is:

$f=\frac{1}{\&lsqb;{\mathrm{\&Sigma;}}_{l\&Element;L}c\left(l\right)+{\mathrm{\&Sigma;}}_{n\&Element;N}c\left(n\right)\&rsqb;\&lsqb;{\mathrm{\&Sigma;}}_{l\&Element;L}p\left(l\right)+{\mathrm{\&Sigma;}}_{n\&Element;N}p\left(n\right)\&rsqb;}({\mathrm{Af}}_b+{\mathrm{Bf}}_d+{\mathrm{Cf}}_{dj}+{\mathrm{Df}}_{pl})$

Wherein, f_b、f_d、f_dj、f_plRespectively bandwidth, time delay, delay jitter, packet loss penalty, A, B, C, D be f respectively_b、f_d、f_dj、f_plWeight coefficient, [∑_l∈Lc(l)+∑_n∈NC (n)] for expense restriction, [∑_l∈Lp(l)+∑_n∈NP (n)] for energy constraint；

When sensor network route meets bandwidth, time delay, delay jitter, packet loss constraints, f_b、f_d、f_dj、f_plValue be all 1, other situation f_b、f_d、f_dj、f_plValue all in (0,1) scope, expense restriction and energy constraint should take minima when meeting bandwidth, time delay, delay jitter and packet loss constraint；

(3) self-powered module, for sensor energy supply, it includes can to the coloring matter sensitization type light cell of the lasting energy supply of sensor under illumination condition；

Further, described building sloping roof beam monitoring structural health conditions device also includes data correction module and the power detecting module being connected with signal processing submodule；

Described data correction module is for being corrected the data of sensor acquisition, and the data after correction are sent to monitoring center's server, arrange correction factorWherein T₀For local mean temperature, T is real time temperature during sensor acquisition data, and m is the correction factor selected according to sensor type, arranges the value of m in (0,0.05) scope, then

T≥T₀Time, updating formula is:

$Y_x=Y\&CenterDot;(1-{\mathrm{me}}^{-(\sqrt{\left|\frac{T-T_0}{T}\right|}+0.001)})$

T < T₀Time, updating formula is:

$Y_x=Y\&CenterDot;(1+{\mathrm{me}}^{-(\sqrt{\left|\frac{T-T_0}{T}\right|}+0.001)})$

Wherein, Y is by the one of sensor acquisition group of data, Y_xFor data after correction；

Described signal processing submodule reads the power information of the sensor network nodes of power detecting module detection, and then sends the power information of sensor network nodes to described monitoring center server.

Further, before gathering data, adopting the clock that TPSN algorithm realizes wireless sensor network to synchronize, be specially the local clock at node place to be synchronized plus clock jitter, the clock completing node synchronizes.

The present embodiment accelerates the locating speed of sensor network nodes, is arranged under illumination condition and extends, to the coloring matter sensitization type light cell of the lasting energy supply of sensor, the service life monitoring device；Sensor network route is unsatisfactory for bandwidth, time delay, delay jitter, packet loss constraints, f_b、f_d、f_dj、f_plValue be all 0.6, monitoring cost relative reduction 15%；Being 0.04 according to the correction factor m value that sensor type selects, monitoring accuracy improves 4% relatively.

Embodiment 5

Referring to Fig. 1, the present embodiment one building sloping roof beam monitoring structural health conditions device, including sensor network nodes, LAN, monitoring center's server and short message alarm module, described sensor network nodes is arranged in tested position and is connected by LAN with monitoring center server, monitoring center's server provides data, services by network to long-distance user or sends early warning information, early warning note is sent also by short message alarm module, it is characterized in that, described sensor network nodes includes:

(1) location in sensors network module, for obtaining sensor network nodes own location information, it includes the task-driven submodule, locator module and the signal processing submodule that are sequentially connected with, described task-driven submodule is connected with monitoring center server by LAN, task-driven submodule drives locator module to obtain the own location information of ad-hoc network of sensors node, and own location information is delivered to after the own location information of the described signal processing submodule described ad-hoc network of sensors node of reading described monitoring center server；Described locator module adopts oval positioning mode to position, and arranges the coordinate of sensor network nodes for (x, y), the coordinate of reference mode is (x during location_n,y_n), n=A, B, C, D, with (x_A,y_A) as the coordinate of the first reference mode, with (x_m,y_m) as the coordinate of the second reference mode, positioning equation is:

$\sqrt{{(x-x_m)}^2+{(y-y_m)}^2}+\sqrt{{(x-x_A)}^2+{(y-y_A)}^2}=d_{Am}$

Wherein, m=B, C, D, d_AmFor sensor network nodes to the first reference mode, the second reference mode distance and, solving equation obtains the position of sensor；

(2) sensor constraints module, for expense and the energy of sensor are retrained, is expressed as undirected cum rights connection figure W=(N, L) by sensor network, and N represents that number of network node, L represent two-way link collection, and constraint function is:

$f=\frac{1}{\&lsqb;{\mathrm{\&Sigma;}}_{l\&Element;L}c\left(l\right)+{\mathrm{\&Sigma;}}_{n\&Element;N}c\left(n\right)\&rsqb;\&lsqb;{\mathrm{\&Sigma;}}_{l\&Element;L}p\left(l\right)+{\mathrm{\&Sigma;}}_{n\&Element;N}p\left(n\right)\&rsqb;}({\mathrm{Af}}_b+{\mathrm{Bf}}_d+{\mathrm{Cf}}_{dj}+{\mathrm{Df}}_{pl})$

Wherein, f_b、f_d、f_dj、f_plRespectively bandwidth, time delay, delay jitter, packet loss penalty, A, B, C, D be f respectively_b、f_d、f_dj、f_plWeight coefficient, [∑_l∈LC (l)+∑_n∈NC (n)] for expense restriction, [∑_l∈LP (l)+∑_n∈NP (n)] for energy constraint；

When sensor network route meets bandwidth, time delay, delay jitter, packet loss constraints, f_b、f_d、f_dj、f_plValue be all 1, other situation f_b、f_d、f_dj、f_plValue all in (0,1) scope, expense restriction and energy constraint should take minima when meeting bandwidth, time delay, delay jitter and packet loss constraint；

(3) self-powered module, for sensor energy supply, it includes can to the coloring matter sensitization type light cell of the lasting energy supply of sensor under illumination condition；

Further, described building sloping roof beam monitoring structural health conditions device also includes data correction module and the power detecting module being connected with signal processing submodule；

Described data correction module is for being corrected the data of sensor acquisition, and the data after correction are sent to monitoring center's server, arrange correction factorWherein T₀For local mean temperature, T is real time temperature during sensor acquisition data, and m is the correction factor selected according to sensor type, arranges the value of m in (0,0.05) scope, then

T≥T₀Time, updating formula is:

$Y_x=Y\&CenterDot;(1-{\mathrm{me}}^{-(\sqrt{\left|\frac{T-T_0}{T}\right|}+0.001)})$

T < T₀Time, updating formula is:

$Y_x=Y\&CenterDot;(1+{\mathrm{me}}^{-(\sqrt{\left|\frac{T-T_0}{T}\right|}+0.001)})$

Wherein, Y is by the one of sensor acquisition group of data, Y_xFor data after correction；

Described signal processing submodule reads the power information of the sensor network nodes of power detecting module detection, and then sends the power information of sensor network nodes to described monitoring center server.

Further, before gathering data, adopting the clock that TPSN algorithm realizes wireless sensor network to synchronize, be specially the local clock at node place to be synchronized plus clock jitter, the clock completing node synchronizes.

The present embodiment accelerates the locating speed of sensor network nodes, is arranged under illumination condition and extends, to the coloring matter sensitization type light cell of the lasting energy supply of sensor, the service life monitoring device；Sensor network route is unsatisfactory for bandwidth, time delay, delay jitter, packet loss constraints, f_b、f_d、f_dj、f_plValue be all 0.9, monitoring cost relative reduction 12%；Being 0.04 according to the correction factor m value that sensor type selects, monitoring accuracy improves 4% relatively.

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 (3)

1. a building sloping roof beam monitoring structural health conditions device, including sensor network nodes, LAN, monitoring center's server and short message alarm module, described sensor network nodes is arranged in tested position and is connected by LAN with monitoring center server, monitoring center's server provides data, services by network to long-distance user or sends early warning information, early warning note is sent also by short message alarm module, it is characterized in that, described sensor network nodes includes:

(1) location in sensors network module, for obtaining sensor network nodes own location information, it includes the task-driven submodule, locator module and the signal processing submodule that are sequentially connected with, described task-driven submodule is connected with monitoring center server by LAN, task-driven submodule drives locator module to obtain the own location information of ad-hoc network of sensors node, and own location information is delivered to after the own location information of the described signal processing submodule described ad-hoc network of sensors node of reading described monitoring center server；Described locator module adopts oval positioning mode to position, and sets the coordinate of sensor network nodes as (x, y), the coordinate of reference mode is (x during location_n,y_n), n=A, B, C, D, with (x_A,y_A) as the coordinate of the first reference mode, with (x_m,y_m) as the coordinate of the second reference mode, positioning equation is:

$\sqrt{{(x-x_m)}^2+{(y-y_m)}^2}+\sqrt{{(x-x_A)}^2+{(y-y_A)}^2}=d_{Am}$

Wherein, m=B, C, D, d_AmFor sensor network nodes to the first reference mode, the second reference mode distance and, solving equation obtains the position of sensor；

(2) sensor constraints module, for expense and the energy of sensor are retrained, is expressed as undirected cum rights connection figure W=(N, L) by sensor network, and N represents that number of network node, L represent two-way link collection, and constraint function is:

$f=\frac{1}{\&lsqb;{\mathrm{\&Sigma;}}_{l\&Element;L}c\left(l\right)+{\mathrm{\&Sigma;}}_{n\&Element;N}c\left(n\right)\&rsqb;\&lsqb;{\mathrm{\&Sigma;}}_{l\&Element;L}p\left(l\right)+{\mathrm{\&Sigma;}}_{n\&Element;N}p\left(n\right)\&rsqb;}\left({\mathrm{Af}}_b+{\mathrm{Bf}}_d+{\mathrm{Cf}}_{dj}+{\mathrm{Df}}_{pl}\right)$

Wherein, f_b、f_d、f_dj、f_plRespectively bandwidth, time delay, delay jitter, packet loss penalty, A, B, C, D be f respectively_b、f_d、f_dj、f_plWeight coefficient, [∑_l∈Lc(l)+∑_n∈NC (n)] for expense restriction, [∑_l∈Lp(l)+∑_n∈NP (n)] for energy constraint；

When sensor network route meets bandwidth, time delay, delay jitter, packet loss constraints, f_b、f_d、f_dj、f_plValue be all 1, other situation f_b、f_d、f_dj、f_plValue all in (0,1) scope, expense restriction and energy constraint should take minima when meeting bandwidth, time delay, delay jitter and packet loss constraint；

(3) self-powered module, for sensor energy supply, it includes can to the coloring matter sensitization type light cell of the lasting energy supply of sensor under illumination condition.

2. a kind of building sloping roof beam monitoring structural health conditions device according to claim 1, is characterized in that, also include data correction module and the power detecting module being connected with signal processing submodule；

Described data correction module is for being corrected the data of sensor acquisition, and the data after correction are sent to monitoring center's server, arrange correction factorWherein T₀For local mean temperature, T is real time temperature during sensor acquisition data, and m is the correction factor selected according to sensor type, arranges the value of m in (0,0.05) scope, then

T≥T₀Time, updating formula is:

$Y_x=Y\&CenterDot;(1-{\mathrm{me}}^{-(\sqrt{\left|\frac{T-T_0}{T}\right|}+0.001)})$

T < T₀Time, updating formula is:

$Y_x=Y\&CenterDot;(1+{\mathrm{me}}^{-(\sqrt{\left|\frac{T-T_0}{T}\right|}+0.001)})$

Wherein, Y is by the one of sensor acquisition group of data, Y_xFor data after correction；

Described signal processing submodule reads the power information of the sensor network nodes of power detecting module detection, and then sends the power information of sensor network nodes to described monitoring center server.

3. a kind of building sloping roof beam monitoring structural health conditions device according to claim 1, it is characterized in that, before gathering data, the clock that TPSN algorithm realizes wireless sensor network is adopted to synchronize, being specially the local clock at node place to be synchronized plus clock jitter, the clock completing node synchronizes.