CN108445353A - A kind of intelligent building electric box running safety monitoring system - Google Patents
A kind of intelligent building electric box running safety monitoring system Download PDFInfo
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- CN108445353A CN108445353A CN201810292173.3A CN201810292173A CN108445353A CN 108445353 A CN108445353 A CN 108445353A CN 201810292173 A CN201810292173 A CN 201810292173A CN 108445353 A CN108445353 A CN 108445353A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/085—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution lines, e.g. overhead
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
- Y04S10/52—Outage or fault management, e.g. fault detection or location
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- General Physics & Mathematics (AREA)
- Closed-Circuit Television Systems (AREA)
- Alarm Systems (AREA)
Abstract
The invention belongs to electrical safety technical fields, disclose a kind of intelligent building electric box running safety monitoring system, and the intelligent building electric box running safety monitoring system includes：Solar powered module, video monitoring module, key operation module, single chip control module, temperature control modules, fault detection module, fault location module, fault alarm module, display module.The present invention can quickly determine abort situation by fault location module, be repaired in time to failure；It can be powered during breakdown maintenance by solar powered module simultaneously, ensure that electric system electric power runs well, greatly reduce the loss that failure is brought.
Description
Technical field
The invention belongs to electrical safety technical field more particularly to a kind of intelligent building electric box running safety monitoring systems
System.
Background technology
Distribution box has small, simple installation, and technical performance is special, position is fixed, and configuration feature is unique, not by place
Limitation, application is commonplace, and stable operation is reliable, and space availability ratio is high, takes up an area less and has the characteristics that environmental protection effect.It is commander
The control centre of various component reasonable distribution electric energy in supply line is reliable receiving upper end power supply, correctly feeds out load electricity
The controlling unit of energy, and obtain key whether user is satisfied with power supply quality.The operating reliability of power distributing cabinet is improved,
It is the target for creating high grade project.The purposes of distribution box：Rational distribution electric energy, the convenient switching action to circuit.Have higher
Class of safety protection, the conducting state of the intuitive display circuit of energy.However, existing electric box failure cannot carry out accurately determining event
Hinder position, increases circuit and investigate workload, electrical problems cannot be solved in time；Once failure causes site preparation electric system paralysed simultaneously
Paralysis causes heavy losses.
In conclusion problem of the existing technology is：Existing electric box failure cannot carry out accurately determining abort situation,
Increase circuit and investigate workload, electrical problems cannot be solved in time；Once failure causes site preparation electric system to be paralysed simultaneously, cause
Heavy losses.
Invention content
In view of the problems of the existing technology, the present invention provides a kind of intelligent building electric box running safety monitoring systems
System.
The invention is realized in this way a kind of intelligent building electric box running safety monitoring system includes：
Solar powered module is connect with single chip control module, converts solar energy for passing through solar panel
It is powered to electric box for electric energy；
Video monitoring module is connect with single chip control module, is monitored to electric box for passing through camera；
The video monitoring module is to the multidimensional difference space dimension-reduction treatment that is built using change vector analytic approach and takes
One principal component obtains the first width disparity map,
Multidimensional difference space XDIt is as follows to build formula：
XD=X1-X2；
XDCovariance matrix be denoted as A：
A=cov (XD)=E [(XD-E[XD])(XD-E[XD])]T；
Feature decomposition is carried out to covariance matrix A to obtain：
V=[v1,v2,v3,v4]
E[XD] indicate XDExpectation, V indicate the descending arrangement of characteristic value corresponding to feature vector set；
Take feature vector v1Solve XDFirst principal component I1, formula is：
I1=XD·v1；
The video monitoring module solves the multispectral image X of two phases1And X2Angle between the spectrum vector of middle pixel
Information obtains the second width disparity map, and spectrum vector angle difference measurement mode formula is as follows：
Wherein,Multispectral image X is indicated respectively1And X2The corresponding spectrum arrow of i rows j row pixels in m-th of wave band
Amount, b indicates multispectral image wave band sum, including 4 wave bands of red, green, blue and near-infrared；
Key operation module is connect with single chip control module, for being carried out to electrical equipment by electrical control button
Control；
Single chip control module controls mould with solar powered module, video monitoring module, key operation module, temperature
Block, fault detection module, fault location module, fault alarm module, display module connection, for dispatching the normal work of modules
Make；
The integrated approach of the mixing deformation model of the single chip control module camera head monitor includes the following steps：
1) it is the camera head monitor detected under different scale, camera head monitor sample image is sampled, is obtained not
With the image of resolution ratio, image pyramid is formed；To each tomographic image in image pyramid by its HoG feature and GMM features
It is combined the feature as camera head monitor, after H indicates to be extracted HoG features to image pyramid and GMM features are combined
Feature pyramid；
2) according to the particular pose of certain camera head monitor train deformable member model, deformable member model with β=
(F0,…,Fn,d1,…,dn, b) and it indicates, wherein F0Indicate root filter, F1,…,FnIndicate n component filter, diIndicating should
I-th of component filter of deformation model is with respect to the deformation cost of " anchor point " position in root filter, the offset of b expression models
Amount；
Implicit parameter z=(the p of deformable member model0,…,pn), p indicates filter when taking feature on turriform feature H
Location information, p=(x, y, l) indicates that filter takes feature on (x, y) coordinate position of pyramidal l layers of feature；
According to the location information indicated by implicit parameter z, each filter of deformable member model is on turriform feature H
The characteristics of image and deformation cost composition of vector ψ (H, z) of acquirement：
ψ (H, z)=(φ (H, p0),…,φ(H,pn),-φd(dx1,dy1),…,-φd(dxn,dyn),1)
In formula, φ (H, p) indicates the feature vector on the positions p of turriform feature H, φd(dxi,dyi)=(dxi,dyi,
dxi 2,dyi 2) weigh deformation cost between i-th of component filter and " anchor point " position；
3) since there are posture diversity for the camera head monitor in image, so each camera head monitor is directed to, according to it
The number m of posture trains such camera head monitor in a kind of posture using deformable member model training method described in step 2)
Under model Mc, then m deformable member model integrated is got up to form mixing deformation model M=(M by c=1 ..., m1,…,
Mm)；
Temperature control modules are connect with single chip control module, the state of temperature for controlling to adjust electric box；
Fault detection module is connect with single chip control module, for being examined to electric box electric elements fault-signal
It surveys；
Fault location module, connect with single chip control module, for determining electric box electric elements abort situation
Position；
Fault alarm module is connect with single chip control module, for fault-signal and abort situation to be passed through alarm side
Formula notifies staff；
Display module is connect with single chip control module, the detection information for showing electric box.
Further, the fault location module localization method is as follows：
First, the three-phase current acquired in circuit on power system carries out three-phase decoupling, obtains a modulus and two modulus；
Secondly, a modulus and/or two modulus are subjected to wavelet transformation, obtain frequency-region signal；
Then, the frequency-region signal is subjected to noise-removed filtering；
Finally, the wave head of fault traveling wave is obtained based on the later signal of noise-removed filtering.
Further, the three-phase decoupling step includes Clarke transform and Kalundborg transformation.
Further, the Clarke transform is：
Wherein, Ic0Indicate zero modulus, Ic1Indicate a modulus, Ic2Indicate two modulus, Ia、Ib、IcIndicate three-phase current.
Further, the Kalundborg is transformed to：
Wherein, Ik0Indicate zero modulus, Ik1Indicate a modulus, Ik2Indicate two modulus, Ia、Ib、IcIndicate three-phase current.
Advantages of the present invention and good effect are：The present invention can quickly determine fault bit by fault location module
It sets, failure is repaired in time；It can be powered, ensured during breakdown maintenance by solar powered module simultaneously
Electric system electric power runs well, and greatly reduces the loss that failure is brought.
Description of the drawings
Fig. 1 is intelligent building electric box running safety monitoring system structure diagram provided in an embodiment of the present invention.
In figure：1, solar powered module；2, video monitoring module；3, key operation module；4, single chip control module；
5, temperature control modules；6, fault detection module；7, fault location module；8, fault alarm module；9, display module.
Specific implementation mode
In order to further understand the content, features and effects of the present invention, the following examples are hereby given, and coordinate attached drawing
Detailed description are as follows.
The structure of the present invention is explained in detail below in conjunction with the accompanying drawings.
As shown in Figure 1, intelligent building electric box running safety monitoring system provided by the invention includes：It is solar powered
Module 1, video monitoring module 2, key operation module 3, single chip control module 4, temperature control modules 5, fault detection module
6, fault location module 7, fault alarm module 8, display module 9.
Solar powered module 1 is connect with single chip control module 4, for being turned solar energy by solar panel
Electric energy is turned to be powered to electric box；
Video monitoring module 2 is connect with single chip control module 4, is monitored to electric box for passing through camera；
Key operation module 3 is connect with single chip control module 4, for by electrical control button to electrical equipment into
Row control；
Single chip control module 4, with solar powered module 1, video monitoring module 2, key operation module 3, temperature control
Molding block 5, fault detection module 6, fault location module 7, fault alarm module 8, display module 9 connect, each for dispatching
Module works normally；
Temperature control modules 5 are connect with single chip control module 4, the state of temperature for controlling to adjust electric box；
Fault detection module 6 is connect with single chip control module 4, for being carried out to electric box electric elements fault-signal
Detection；
Fault location module 7 is connect with single chip control module 4, for being carried out to electric box electric elements abort situation
Positioning；
Fault alarm module 8 is connect with single chip control module 4, for fault-signal and abort situation to be passed through alarm
Mode notifies staff；
Display module 9 is connect with single chip control module 4, the detection information for showing electric box.
The video monitoring module is to the multidimensional difference space dimension-reduction treatment that is built using change vector analytic approach and takes
One principal component obtains the first width disparity map,
Multidimensional difference space XDIt is as follows to build formula：
XD=X1-X2；
XDCovariance matrix be denoted as A：
A=cov (XD)=E [(XD-E[XD])(XD-E[XD])]T；
Feature decomposition is carried out to covariance matrix A to obtain：
V=[v1,v2,v3,v4]
E[XD] indicate XDExpectation, V indicate the descending arrangement of characteristic value corresponding to feature vector set；
Take feature vector v1Solve XDFirst principal component I1, formula is：
I1=XD·v1；
The video monitoring module solves the multispectral image X of two phases1And X2Angle between the spectrum vector of middle pixel
Information obtains the second width disparity map, and spectrum vector angle difference measurement mode formula is as follows：
Wherein,Multispectral image X is indicated respectively1And X2The corresponding spectrum arrow of i rows j row pixels in m-th of wave band
Amount, b indicates multispectral image wave band sum, including 4 wave bands of red, green, blue and near-infrared；
The integrated approach of the mixing deformation model of the single chip control module camera head monitor includes the following steps：
1) it is the camera head monitor detected under different scale, camera head monitor sample image is sampled, is obtained not
With the image of resolution ratio, image pyramid is formed；To each tomographic image in image pyramid by its HoG feature and GMM features
It is combined the feature as camera head monitor, after H indicates to be extracted HoG features to image pyramid and GMM features are combined
Feature pyramid；
2) according to the particular pose of certain camera head monitor train deformable member model, deformable member model with β=
(F0,…,Fn,d1,…,dn, b) and it indicates, wherein F0Indicate root filter, F1,…,FnIndicate n component filter, diIndicating should
I-th of component filter of deformation model is with respect to the deformation cost of " anchor point " position in root filter, the offset of b expression models
Amount；
Implicit parameter z=(the p of deformable member model0,…,pn), p indicates filter when taking feature on turriform feature H
Location information, p=(x, y, l) indicates that filter takes feature on (x, y) coordinate position of pyramidal l layers of feature；
According to the location information indicated by implicit parameter z, each filter of deformable member model is on turriform feature H
The characteristics of image and deformation cost composition of vector ψ (H, z) of acquirement：
ψ (H, z)=(φ (H, p0),…,φ(H,pn),-φd(dx1,dy1),…,-φd(dxn,dyn),1)
In formula, φ (H, p) indicates the feature vector on the positions p of turriform feature H, φd(dxi,dyi)=(dxi,dyi,
dxi 2,dyi 2) weigh deformation cost between i-th of component filter and " anchor point " position；
3) since there are posture diversity for the camera head monitor in image, so each camera head monitor is directed to, according to it
The number m of posture trains such camera head monitor in a kind of posture using deformable member model training method described in step 2)
Under model Mc, then m deformable member model integrated is got up to form mixing deformation model M=(M by c=1 ..., m1,…,
Mm)；
7 localization method of fault location module provided by the invention is as follows：
First, the three-phase current acquired in circuit on power system carries out three-phase decoupling, obtains a modulus and two modulus；
Secondly, a modulus and/or two modulus are subjected to wavelet transformation, obtain frequency-region signal；
Then, the frequency-region signal is subjected to noise-removed filtering；
Finally, the wave head of fault traveling wave is obtained based on the later signal of noise-removed filtering.
Three-phase decoupling step provided by the invention includes Clarke transform and Kalundborg transformation.
Clarke transform provided by the invention is：
Wherein, Ic0Indicate zero modulus, Ic1Indicate a modulus, Ic2Indicate two modulus, Ia、Ib、IcIndicate three-phase current.
Kalundborg provided by the invention is transformed to：
Wherein, Ik0Indicate zero modulus, Ik1Indicate a modulus, Ik2Indicate two modulus, Ia、Ib、IcIndicate three-phase current.
When the present invention works, is converted solar energy into electrical energy by solar powered module 1 and be powered to electric box；It is logical
Video monitoring module 2 is crossed to be monitored electric box；Electrical equipment is controlled by key operation module 3；Microcontroller control
Molding block 4 dispatches the state of temperature that temperature control modules 5 control to adjust electric box；By fault detection module 6 to electric box electricity
Device element fault signal is detected；Then, electric box electric elements abort situation is determined by fault location module 7
Position；Fault-signal and abort situation are notified into staff by type of alarm by fault alarm module 8；Finally, by aobvious
Show that module 9 shows the detection information of electric box.
The above is only the preferred embodiments of the present invention, and is not intended to limit the present invention in any form,
Every any simple modification made to the above embodiment according to the technical essence of the invention, equivalent variations and modification, belong to
In the range of technical solution of the present invention.
Claims (5)
1. a kind of intelligent building electric box running safety monitoring system, which is characterized in that the intelligent building is pacified with electric box
Operation monitoring system includes entirely：
Solar powered module is connect with single chip control module, and electricity is converted solar energy into for passing through solar panel
It can be powered to electric box；
Video monitoring module is connect with single chip control module, is monitored to electric box for passing through camera；
The video monitoring module is to the multidimensional difference space dimension-reduction treatment that is built using change vector analytic approach and takes the first master
Ingredient obtains the first width disparity map,
Multidimensional difference space XDIt is as follows to build formula：
XD=X1-X2；
XDCovariance matrix be denoted as A：
A=cov (XD)=E [(XD-E[XD])(XD-E[XD])]T；
Feature decomposition is carried out to covariance matrix A to obtain：
V=[v1,v2,v3,v4]
E[XD] indicate XDExpectation, V indicate the descending arrangement of characteristic value corresponding to feature vector set；
Take feature vector v1Solve XDFirst principal component I1, formula is：
I1=XD·v1；
The video monitoring module solves the multispectral image X of two phases1And X2Angle information between the spectrum vector of middle pixel
The second width disparity map is obtained, spectrum vector angle difference measurement mode formula is as follows：
Wherein,Multispectral image X is indicated respectively1And X2The corresponding spectrum vector of i rows j row pixels, b in m-th of wave band
Multispectral image wave band sum is indicated, including 4 wave bands of red, green, blue and near-infrared；
Key operation module is connect with single chip control module, is controlled electrical equipment for passing through electrical control button；
Single chip control module, with solar powered module, video monitoring module, key operation module, temperature control modules, event
Hinder detection module, fault location module, fault alarm module, display module connection, for dispatching modules normal work；
The integrated approach of the mixing deformation model of the single chip control module camera head monitor includes the following steps：
1) it is the camera head monitor detected under different scale, camera head monitor sample image is sampled, obtains different points
The image of resolution forms image pyramid；Each tomographic image in image pyramid is mutually tied its HoG feature with GMM features
Cooperation is the feature of camera head monitor, with the spy after H indicates to be extracted HoG features to image pyramid and GMM features are combined
Levy pyramid；
2) according to the particular pose of certain camera head monitor train deformable member model, deformable member model with β=
(F0,…,Fn,d1,…,dn, b) and it indicates, wherein F0Indicate root filter, F1,…,FnIndicate n component filter, diIndicating should
I-th of component filter of deformation model is with respect to the deformation cost of " anchor point " position in root filter, the offset of b expression models
Amount；
Implicit parameter z=(the p of deformable member model0,…,pn), p indicates position of the filter when taking feature on turriform feature H
Confidence ceases, p=(x, y, l), indicates that filter takes feature on (x, y) coordinate position of pyramidal l layers of feature；
According to the location information indicated by implicit parameter z, each filter of deformable member model obtains on turriform feature H
Characteristics of image and deformation cost composition of vector ψ (H, z)：
ψ (H, z)=(φ (H, p0),…,φ(H,pn),-φd(dx1,dy1),…,-φd(dxn,dyn),1)
In formula, φ (H, p) indicates the feature vector on the positions p of turriform feature H, φd(dxi,dyi)=(dxi,dyi,dxi 2,
dyi 2) weigh deformation cost between i-th of component filter and " anchor point " position；
3) since there are posture diversity for the camera head monitor in image, so each camera head monitor is directed to, according to its posture
Number m, train such camera head monitor under a kind of posture using deformable member model training method described in step 2)
Model Mc, then m deformable member model integrated is got up to form mixing deformation model M=(M by c=1 ..., m1,…,Mm)；
Temperature control modules are connect with single chip control module, the state of temperature for controlling to adjust electric box；
Fault detection module is connect with single chip control module, for being detected to electric box electric elements fault-signal；
Fault location module, connect with single chip control module, for being positioned to electric box electric elements abort situation；
Fault alarm module is connect with single chip control module, for leading to fault-signal and abort situation by type of alarm
Know staff；
Display module is connect with single chip control module, the detection information for showing electric box.
2. intelligent building as described in claim 1 electric box running safety monitoring system, which is characterized in that the fault location
Module localization method is as follows：
First, the three-phase current acquired in circuit on power system carries out three-phase decoupling, obtains a modulus and two modulus；
Secondly, a modulus and/or two modulus are subjected to wavelet transformation, obtain frequency-region signal；
Then, the frequency-region signal is subjected to noise-removed filtering；
Finally, the wave head of fault traveling wave is obtained based on the later signal of noise-removed filtering.
3. intelligent building as claimed in claim 2 electric box running safety monitoring system, which is characterized in that the three-phase decoupling
Step includes Clarke transform and Kalundborg transformation.
4. intelligent building as claimed in claim 2 electric box running safety monitoring system, which is characterized in that the Clarke becomes
It is changed to：
Wherein, Ic0Indicate zero modulus, Ic1Indicate a modulus, Ic2Indicate two modulus, Ia、Ib、IcIndicate three-phase current.
5. intelligent building as claimed in claim 2 electric box running safety monitoring system, which is characterized in that the Kalundborg becomes
It is changed to：
Wherein, Ik0Indicate zero modulus, Ik1Indicate a modulus, Ik2Indicate two modulus, Ia、Ib、IcIndicate three-phase current.
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| CN201810292173.3A CN108445353A (en) | 2018-04-03 | 2018-04-03 | A kind of intelligent building electric box running safety monitoring system |
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| CN201810292173.3A CN108445353A (en) | 2018-04-03 | 2018-04-03 | A kind of intelligent building electric box running safety monitoring system |
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| CN112614414A (en) * | 2020-12-24 | 2021-04-06 | 江苏卓茂智能科技有限公司 | Intelligent comprehensive wiring system |
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Application publication date: 20180824 |