CN102866334A - Vehicle-mounted local discharge locating system for mobile substation and locating method thereof - Google Patents

Vehicle-mounted local discharge locating system for mobile substation and locating method thereof Download PDF

Info

Publication number
CN102866334A
CN102866334A CN2012103973032A CN201210397303A CN102866334A CN 102866334 A CN102866334 A CN 102866334A CN 2012103973032 A CN2012103973032 A CN 2012103973032A CN 201210397303 A CN201210397303 A CN 201210397303A CN 102866334 A CN102866334 A CN 102866334A
Authority
CN
China
Prior art keywords
signal
discharge
transformer station
vehicular
shelf depreciation
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN2012103973032A
Other languages
Chinese (zh)
Inventor
邵宇鹰
关宏
盛戈皞
张天辰
侯慧娟
江秀臣
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shanghai Jiaotong University
State Grid Corp of China SGCC
Shanghai Municipal Electric Power Co
Original Assignee
Shanghai Jiaotong University
State Grid Corp of China SGCC
Shanghai Municipal Electric Power Co
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shanghai Jiaotong University, State Grid Corp of China SGCC, Shanghai Municipal Electric Power Co filed Critical Shanghai Jiaotong University
Priority to CN2012103973032A priority Critical patent/CN102866334A/en
Publication of CN102866334A publication Critical patent/CN102866334A/en
Pending legal-status Critical Current

Links

Images

Abstract

The invention discloses a vehicle-mounted local discharge locating system for a mobile substation and a locating method of the vehicle-mounted local discharge locating system. Four radio frequency electromagnetic wave sensors are arranged on an automobile for receiving electromagnetic wave signals sent out from local discharge points, a signal conditioning circuit is used for amplifying and filtering the received signals, and a high-speed data sampling unit is used for synchronously collecting 4 paths of output signals and outputting the data to a data processing and analyzing unit so as to establish an equation set according to starting times when four radio frequency omnidirectional sensors receive ultrahigh frequency signals radiated by the same discharge source calculated in real time and on the basis of time differences of the four paths of received signals, solve direction angles and radial distances of the discharge signals and locate the discharge parts. According to the invention, all high-voltage equipment in the substation can be detected and located for local discharge, the cost for detecting the local discharge of the equipment can be greatly reduced, defects can be found out as soon as possible during patrol and inspection of the substation equipment, and accidents and interruption maintenance time can be reduced, so that the operation reliability and the intellectualization level of the substation can be improved and increased.

Description

A kind of vehicular transformer station's shelf depreciation positioning system and localization method thereof
Technical field
The invention belongs to high voltage electric power equip ment insulating monitoring technical field, be specifically related to a kind of vehicular transformer station's shelf depreciation positioning system and localization method thereof.
Background technology
Insulation fault is power equipment one of the modal fault that is in operation.Generally, power equipment has a gradually shelf depreciation process of development before insulation fault occurs, and the aggravation along with discharge finally causes insulation breakdown.If in the shelf depreciation process, can carry out detection and diagnosis to operational outfit, in time find local discharge signal, and to the location of Partial Discharge Sources, early defective is processed, just can effectively avoid the generation of Fault of Insulating Breakdown, and formulate and overhaul targetedly processing scheme, to reduce power off time, improve overhaul efficiency.
Shelf depreciation can be passed through the several different methods such as ultrasound wave, electric parameter constant and uhf electromagnetic wave and detect, and these methods all can be used to make-game and put the location, source.Electromagnetic Wave Method is a kind of new method of Partial Discharge Detection in recent years, can give off the broadband electromagnetic wave signal in the process of power equipment generation shelf depreciation, the method utilizes in the radio frequency sensor received RF frequency range that (0～800MHz) signal detects shelf depreciation, since the approximate light velocity of the aerial velocity of propagation of electromagnetic wave, the position that can be used for calculating Partial Discharge Sources.
Both at home and abroad at present for the Partial Discharge Detection of substation equipment and location mainly for GIS the concrete single equipments such as isolating switch, transformer carry out.And partial discharges fault all may occur in any high voltage electric power equip ment in the transformer station, want an electrical equipment at full station is implemented monitoring, just need on each equipment, partial discharge monitoring device be installed, required expense is high, the service efficiency of monitoring system is also low, and also very large to the maintenance workload of numerous on-Line Monitor Device itself.
Summary of the invention
The invention provides a kind of vehicular transformer station's shelf depreciation positioning system and localization method thereof, cost is low, efficient is high, has reduced the generation of accident and the time of interruption maintenance, thereby improves reliability and the intelligent level of substation operation.
In order to achieve the above object, the invention provides a kind of vehicular transformer station shelf depreciation positioning system, it is characterized in that, this system comprises the radio frequency omnidirectional sensor that is installed in roof, circuit connects the signal conditioning circuit of described radio frequency omnidirectional sensor respectively, circuit connects the high-speed data sampling unit of described signal conditioning circuit, and circuit connects data processing and the analytic unit of described high-speed data sampling unit.
This vehicular transformer station shelf depreciation positioning system also comprises the power supply that circuit respectively connects above-mentioned parts.
The described radio frequency sensor employing UHF of omnidirectional antenna sensor.
Described signal conditioning circuit adopts prime amplifier.
Described high-speed data sampling unit adopts the high-speed oscilloscope with memory function.
Described data are processed and analytic unit adopts computing machine.
Described signal conditioning circuit is connected the RF coaxial shielded cable to connect with the high-speed data sampling unit.
The present invention also provides a kind of vehicular transformer station partial discharge positioning method, it is characterized in that the method includes the steps of:
Step 1, signal receive;
Radio frequency omnidirectional sensor receives the electromagnetic wave signal that transformer station's shelf depreciation produces;
Step 2, signal condition;
Signal conditioning circuit amplifies to the received signal with filtering to be processed;
Step 3, data sampling;
The high-speed data sampling unit carries out synchronous acquisition to 4 tunnel output signals;
Step 4, signal de-noising;
Step 5, data processing and analytic unit are set up the equation about spark location according to the mistiming of four groups of signals;
Step 5.1, utilize threshold method to determine the moment corresponding to 4 tunnel signal waveform points of inflexion on a curve, as the initial time of radio frequency electromagnetic signal;
Step 5.2, determine mistiming of each road signal initial time:
Figure 2012103973032100002DEST_PATH_IMAGE002
Figure 2012103973032100002DEST_PATH_IMAGE004
（1）
Figure 2012103973032100002DEST_PATH_IMAGE008
Wherein,
Figure 2012103973032100002DEST_PATH_IMAGE010
Be the flex point moment of respective signal squiggle;
Step 5.3, determine the range difference of four sensors and point of discharge:
In sensor plane, set up rectangular coordinate system, suppose that the position of four sensors is respectively in plane coordinate system
Figure 2012103973032100002DEST_PATH_IMAGE012
, , With
Figure 2012103973032100002DEST_PATH_IMAGE018
, spark location is
Figure 2012103973032100002DEST_PATH_IMAGE020
, the distance of point of discharge to four sensor is respectively
Figure 2012103973032100002DEST_PATH_IMAGE022
,
Figure 2012103973032100002DEST_PATH_IMAGE024
, ,
Figure 2012103973032100002DEST_PATH_IMAGE028
, then alternate position spike is respectively:
Figure 2012103973032100002DEST_PATH_IMAGE030
Figure 2012103973032100002DEST_PATH_IMAGE032
（2）
Figure 2012103973032100002DEST_PATH_IMAGE034
Figure 2012103973032100002DEST_PATH_IMAGE036
Wherein,
Figure 2012103973032100002DEST_PATH_IMAGE038
,
Figure 2012103973032100002DEST_PATH_IMAGE040
Be propagation velocity of electromagnetic wave,
Figure 757392DEST_PATH_IMAGE020
Be spark location coordinate undetermined;
Step 5.4, set up the equation about spark location:
According to cartesian geometry knowledge, point of discharge is to the range difference between per 2 sensors
Figure 2012103973032100002DEST_PATH_IMAGE044
Can determine that a list props up hyperbolic curve, therefore, set up rectangular coordinate system take the sensor array center as initial point, can determine point of discharge place quadrant by the positive and negative of 4 time delays, and can obtain Hyperbolic Equation, simultaneous can get Nonlinear System of Equations:
Figure 2012103973032100002DEST_PATH_IMAGE046
（3）
Figure 2012103973032100002DEST_PATH_IMAGE048
（4）
Figure 2012103973032100002DEST_PATH_IMAGE050
（5）
Figure 2012103973032100002DEST_PATH_IMAGE052
（6）
Wherein,
Figure 2012103973032100002DEST_PATH_IMAGE054
,
Figure 2012103973032100002DEST_PATH_IMAGE056
, Be the hyperbolic curve focal length, can obtain according to sensor array size;
Step 6, data processing and analytic unit are found the solution the position equation group based on the time difference, calculate spark location, and obtain position angle and the radial distance of Partial Discharge Sources;
The employing Newton iteration method is found the solution the Nonlinear System of Equations based on the time difference:
Simultaneous is about discharge position
Figure 78390DEST_PATH_IMAGE020
Nonlinear equation (3), (4), can obtain the binary quadratic equation group, write as
Figure 2012103973032100002DEST_PATH_IMAGE060
Form, wherein ,
Figure 2012103973032100002DEST_PATH_IMAGE064
（7）
If
Figure 2012103973032100002DEST_PATH_IMAGE066
For an approximate solution of system of equations, then right
Figure 2012103973032100002DEST_PATH_IMAGE068
Have:
Figure 2012103973032100002DEST_PATH_IMAGE070
（8）
Being write as vector form is:
（9）
Wherein,
Figure 2012103973032100002DEST_PATH_IMAGE074
For
Figure 2012103973032100002DEST_PATH_IMAGE076
Figure 2012103973032100002DEST_PATH_IMAGE078
Matrix exists
Figure 2012103973032100002DEST_PATH_IMAGE080
The value at place; If
Figure 2012103973032100002DEST_PATH_IMAGE082
Value is the root of system of equations (7)
Figure 2012103973032100002DEST_PATH_IMAGE084
, namely
Figure 2012103973032100002DEST_PATH_IMAGE086
, wushu (8) right-hand member is
Figure 2012103973032100002DEST_PATH_IMAGE088
Vector Approximate value as new is designated as
Figure 2012103973032100002DEST_PATH_IMAGE090
, namely have:
Figure 2012103973032100002DEST_PATH_IMAGE092
（10）
Formula (10) is the iterative formula of Newton Algorithm Nonlinear System of Equations;
In like manner, the binary quadratic equation group that obtains of simultaneous nonlinear equation (5), (6) can utilize said method to find the solution equally;
By above-mentioned iteration, convergence point can be thought the coordinate of point of discharge in default plane right-angle coordinate , and then obtain its deflection and radial distance;
Deflection (11)
Radial distance (12)
In the described step 3, every channel sample frequency〉2GS/s.
In the described step 4, data are processed and analytic unit adopts wavelet analysis method that the waveform signal that collects is carried out noise reduction;
Signal
Figure 2012103973032100002DEST_PATH_IMAGE098
Continuous wavelet transform be
Figure 2012103973032100002DEST_PATH_IMAGE100
, wherein:
Figure 2012103973032100002DEST_PATH_IMAGE102
Be scale factor;
Figure 2012103973032100002DEST_PATH_IMAGE104
Be respectively shift factor and time variable, be continuous variable;
Figure 2012103973032100002DEST_PATH_IMAGE106
Be female small echo,
Figure 2012103973032100002DEST_PATH_IMAGE108
Be its complex conjugate; Choose the tight support orthogonal wavelet of many Bei Xi as female small echo, signal is carried out 8 layers of wavelet transformation, and adopt the noise segment threshold value in the staging treating thought Dynamic Selection signal, with its threshold value as the signal Wavelet Denoising Method, can effectively remove the ground unrest in the signal.
The present invention changes the conventional way of in the past individual equipment being installed on-Line Monitor Device, at automobile the electromagnetic wave signal that 4 section of radio-frequency electromagnetic wave sensor office of acceptance discharges are sent is installed, overlap movably with one pick-up unit carries out the detection of shelf depreciation to full station equipment, point out Partial Discharge Sources place direction and calculate its distance, realization is carried out plane positioning to the discharge signal at the full station of whole transformer station, thereby determines to produce equipment or the part of appliance of discharge based on the planimetric position.Can at first roughly select defective equipment or part of appliance by this device, determine to analyse in depth again and locate after it has had defective and failure risk, have the advantages that cost is low, efficient is high, the present invention can carry out Partial Discharge Detection and location to all high-tension apparatuses in the transformer station, greatly reduce the cost that apparatus local discharge detects, find early defective when helping to patrol and examine substation equipment, the generation of minimizing accident and the time of interruption maintenance, thereby reliability and the intelligent level of raising substation operation.
Description of drawings
Fig. 1 is structural representation of the present invention;
Fig. 2 is method flow diagram of the present invention;
Fig. 3 is sample waveform figure of the present invention;
Fig. 4 is that the present invention contains noisy signal waveforms;
Fig. 5 is the signal waveforms after the denoising of the present invention;
Fig. 6 is that the present invention is at the coordinate synoptic diagram of laboratory proofing;
Fig. 7 is the coordinate synoptic diagram that the present invention verifies at the scene.
Embodiment
Following according to Fig. 1～Fig. 7, specify preferred embodiment of the present invention.
As shown in Figure 1, the invention provides a kind of vehicular transformer station shelf depreciation positioning system, this system comprises 4 radio frequency omnidirectional sensors 1 that are installed in roof, circuit connects four signal conditioning circuits 2 of described radio frequency omnidirectional sensor 1 respectively, circuit connects the high-speed data sampling unit 3 of described signal conditioning circuit 2, and circuit connects data processing and the analytic unit 4 of described high-speed data sampling unit 3.
This vehicular transformer station shelf depreciation positioning system also comprises the power supply that circuit respectively connects above-mentioned parts.
Described radio frequency omnidirectional sensor 1 adopts the UHF antenna sensor, described signal conditioning circuit 2 adopts prime amplifier, the high-speed oscilloscope that described high-speed data sampling unit 3 adopts with memory function, described data are processed and analytic unit 4 adopts computing machines, and described signal conditioning circuit 2 is connected with the high-speed data sampling unit and is adopted the connection of RF coaxial shielded cable.
Described radio frequency omnidirectional sensor 1 receives the electromagnetic wave that transformer station's shelf depreciation excites, and amplified and the processing such as filtering by 2 pairs of received signals of signal conditioning circuit, transfer to high-speed data sampling unit 3 through the RF coaxial shielded cable, 3 pairs of 4 tunnel output signals of high-speed data sampling unit are carried out synchronous acquisition, the sample frequency on every road〉2GS/s, and data are outputed to data are processed and analytic unit 4, data are processed and analytic unit 4 calculates the initial time that the same discharge source of 4 radio frequency omnidirectional sensors, 1 reception gives off ultra-high frequency signal in real time according to 4 circuit-switched data that collect, based on the mistiming of 4 road signals that receive, list system of equations, find the solution deflection and the radial distance of discharge signal, thereby realize the location.
As shown in Figure 2, the present invention also provides a kind of vehicular transformer station partial discharge positioning method, and the method includes the steps of:
Step 1, signal receive;
Radio frequency omnidirectional sensor 1 receives the electromagnetic wave signal that transformer station's shelf depreciation produces;
Step 2, signal condition;
Signal conditioning circuit 2 amplifies and the processing such as filtering to the received signal;
Step 3, data sampling;
3 pairs of 4 tunnel output signals of high-speed data sampling unit are carried out synchronous acquisition, every channel sample frequency〉2GS/s; The waveform that collects as shown in Figure 3;
Step 4, signal de-noising;
Data are processed and analytic unit 4 adopts wavelet analysis method that the waveform signal that collects is carried out noise reduction;
(such as radio narrow band cycle interference such as white noise and broadcasting, carrier signals) is more because the electromagnetic noise in the transformer station, the signal that collects is often polluted, be difficult to analyze accurately and process, adopt wavelet analysis method that the waveform signal that collects is carried out noise reduction, can effectively remove the ground unrest in the signal;
Signal
Figure 544745DEST_PATH_IMAGE098
Continuous wavelet transform be
Figure 600426DEST_PATH_IMAGE100
, wherein:
Figure 167805DEST_PATH_IMAGE102
Be scale factor;
Figure 967133DEST_PATH_IMAGE104
Be respectively shift factor and time variable, be continuous variable;
Figure 802103DEST_PATH_IMAGE106
Be female small echo,
Figure 294264DEST_PATH_IMAGE108
Be its complex conjugate; Choose the many Bei Xi of Daubechies() tight support orthogonal wavelet is as female small echo, signal is carried out 8 layers of wavelet transformation, and the noise segment threshold value in the employing staging treating thought Dynamic Selection signal, with its threshold value as the signal Wavelet Denoising Method, can effectively remove the ground unrest in the signal;
Contain noisy signal as shown in Figure 4, the signal that obtains after the denoising of process wavelet analysis method as shown in Figure 5;
Step 5, data processing and analytic unit 4 are set up the equation about spark location according to the mistiming of four groups of signals;
Step 5.1, utilize threshold method to determine the moment corresponding to 4 tunnel signal waveform points of inflexion on a curve, as the initial time of radio frequency electromagnetic signal;
Step 5.2, determine mistiming of each road signal initial time:
Figure 2012103973032100002DEST_PATH_IMAGE002A
Figure 722840DEST_PATH_IMAGE004
（1）
Figure DEST_PATH_IMAGE006A
Figure DEST_PATH_IMAGE008A
Wherein,
Figure 116738DEST_PATH_IMAGE010
Be the flex point moment of respective signal squiggle;
Step 5.3, determine the range difference of four sensors and point of discharge:
In sensor plane, set up rectangular coordinate system, suppose that the position of four sensors is respectively in plane coordinate system ,
Figure 157693DEST_PATH_IMAGE014
,
Figure 198199DEST_PATH_IMAGE016
With
Figure 339330DEST_PATH_IMAGE018
, spark location is
Figure 650357DEST_PATH_IMAGE020
, the distance of point of discharge to four sensor is respectively ,
Figure 746543DEST_PATH_IMAGE024
,
Figure 691366DEST_PATH_IMAGE026
,
Figure 856899DEST_PATH_IMAGE028
, then alternate position spike is respectively:
Figure DEST_PATH_IMAGE030A
Figure 173349DEST_PATH_IMAGE032
（2）
Figure DEST_PATH_IMAGE034A
Figure DEST_PATH_IMAGE036A
Wherein,
Figure 928727DEST_PATH_IMAGE038
,
Figure 697280DEST_PATH_IMAGE042
Be propagation velocity of electromagnetic wave,
Figure 122314DEST_PATH_IMAGE020
Be spark location coordinate undetermined;
Step 5.4, set up the equation about spark location:
According to cartesian geometry knowledge, point of discharge is to the range difference between per 2 sensors
Figure 109861DEST_PATH_IMAGE044
Can determine that a list props up hyperbolic curve, therefore, set up rectangular coordinate system take the sensor array center as initial point, can determine point of discharge place quadrant by the positive and negative of 4 time delays, and can obtain Hyperbolic Equation, simultaneous can get Nonlinear System of Equations:
（3）
（4）
Figure 866968DEST_PATH_IMAGE050
（5）
Figure 279495DEST_PATH_IMAGE052
（6）
Wherein,
Figure 369810DEST_PATH_IMAGE054
,
Figure 364442DEST_PATH_IMAGE056
,
Figure 616432DEST_PATH_IMAGE058
Be the hyperbolic curve focal length, can obtain according to sensor array size;
Step 6, data processing and analytic unit 4 are found the solution the position equation group based on the time difference, calculate spark location, and obtain position angle and the radial distance of Partial Discharge Sources;
The employing Newton iteration method is found the solution the Nonlinear System of Equations based on the time difference:
Simultaneous is about discharge position
Figure 827839DEST_PATH_IMAGE020
Nonlinear equation (3), (4), can obtain the binary quadratic equation group, write as
Figure 456267DEST_PATH_IMAGE060
Form, wherein
Figure 570985DEST_PATH_IMAGE062
,
Figure 931559DEST_PATH_IMAGE064
（7）
If
Figure 380995DEST_PATH_IMAGE066
For an approximate solution of system of equations, then right
Figure 79959DEST_PATH_IMAGE068
Have:
（8）
Being write as vector form is:
Figure 642975DEST_PATH_IMAGE072
（9）
Wherein, For
Figure 799205DEST_PATH_IMAGE076
Figure 872203DEST_PATH_IMAGE078
Matrix exists
Figure 653208DEST_PATH_IMAGE080
The value at place; If
Figure 749340DEST_PATH_IMAGE082
Value is the root of system of equations (7)
Figure 523261DEST_PATH_IMAGE084
, namely
Figure 700034DEST_PATH_IMAGE086
, wushu (8) right-hand member is Vector
Figure 297685DEST_PATH_IMAGE082
Approximate value as new is designated as , namely have:
（10）
Formula (10) is the iterative formula of Newton Algorithm Nonlinear System of Equations;
In like manner, the binary quadratic equation group that obtains of simultaneous nonlinear equation (5), (6) can utilize said method to find the solution equally;
By above-mentioned iteration, convergence point can be thought the coordinate of point of discharge in default plane right-angle coordinate
Figure 278651DEST_PATH_IMAGE020
, and then obtain its deflection and radial distance;
Deflection
Figure 349376DEST_PATH_IMAGE094
(11)
Radial distance
Figure 215832DEST_PATH_IMAGE096
(12)
When using Newton iteration method to find the solution Nonlinear System of Equations, if choose suitable iterative initial value, can effectively improve arithmetic speed, shorten operation time, utilize hyperbolic curve with these characteristics of its asymptotic line of limitless nearness, under the prerequisite of known point of discharge place quadrant, ask for corresponding two lists and prop up hyp asymptotic line intersection point, and with this as iterative initial value, can make this initial value to a certain extent as far as possible near solution of equations, thereby improve the efficient of iteration.
Lab investigation and checking
This localization method of simulating, verifying in the laboratory is placed in antenna sensor on rectangular four summits, and the position is shown in the some A among Fig. 6, B, C, D; Simulation discharge source P point position is , definition x axle positive dirction is 0 °, then P deflection and the radial distance of ordering is respectively 70.82 ° and 2.435m.Utilized bandwidth is 2GHz, and sampling rate is that the high-speed figure oscillograph of 5GS/s carries out signals collecting, uses the bandwidth of antenna sensor to be 200MHz～6GHz.Use above-mentioned localization method, the XY plane positioning result who obtains is
Figure DEST_PATH_IMAGE112
, corresponding its deflection and radial distance are 70.82 ° and 2.437m.
According to the XY plane positioning result who calculates, and can find that under laboratory environment, the bearing accuracy of this method is higher after the position versus of simulation discharge source P, positioning result has higher reliability.
The rig-site utilization checking
Be checking native system and the detection effect of related positioning method under the substation field strong interference environment, carried out the testing experiment of system in certain 500kV transformer station, the UHF antenna sensor is installed on the support of car roof, the coordinate of aft antenna is installed as shown in Figure 7, and is utilized the simulation discharge to verify.Oscillograph collects the uhf electromagnetic wave signal data that discharge source is sent, calculate through system's Treatment Analysis and localization method, the deflection in orientation discharge source is 65.93 ° as a result, radial distance is 6.45m, the true directions angle of realistic simulation discharge source is about 64.78 °, and radial distance is about 6.70 meters, and the testing result error is smaller, substantially determined the planimetric position of discharge source, bearing accuracy satisfies entirely the stand requirement of Partial Discharge Detection of transformer station.
A kind of vehicular transformer station's shelf depreciation positioning system provided by the invention and localization method thereof can be finished testing in the substation field moving process.For all kinds of power transmission and transformation primary equipments that comprise GIS outlet casing tube, transformer high-voltage bushing, SF6 isolating switch, mutual inductor, capacitor, lightning arrester and insulator etc. in the transformer station, positioning system receives it by radio frequency sensor and occurs before the insulation fault electromagnetic wave signal that shelf depreciation excites occuring, it is carried out the detection under the electriferous state and researchs and analyses, thereby realize the location of Partial Discharge Sources and the diagnosis of shelf depreciation.The deflection of Partial Discharge Sources and radial distance can help the tester to investigate fast the fault occurrence positions in movable type detects, and use convenient succinct.
Although content of the present invention has been done detailed introduction by above preferred embodiment, will be appreciated that above-mentioned description should not be considered to limitation of the present invention.After those skilled in the art have read foregoing, for multiple modification of the present invention with to substitute all will be apparent.Therefore, protection scope of the present invention should be limited to the appended claims.

Claims (10)

1. vehicular transformer station shelf depreciation positioning system, it is characterized in that, this system comprises the radio frequency omnidirectional sensor (1) that is installed in roof, circuit connects the signal conditioning circuit (2) of described radio frequency omnidirectional's sensor (1) respectively, circuit connects the high-speed data sampling unit (3) of described signal conditioning circuit (2), and circuit connects data processing and the analytic unit (4) of described high-speed data sampling unit (3).
2. vehicular as claimed in claim 1 transformer station shelf depreciation positioning system is characterized in that, this vehicular transformer station shelf depreciation positioning system also comprises the power supply that circuit respectively connects above-mentioned parts.
3. vehicular as claimed in claim 1 transformer station shelf depreciation positioning system is characterized in that, described radio frequency omnidirectional's sensor (1) adopts the UHF antenna sensor.
4. vehicular as claimed in claim 1 transformer station shelf depreciation positioning system is characterized in that, described signal conditioning circuit (2) adopts prime amplifier.
5. vehicular as claimed in claim 1 transformer station shelf depreciation positioning system is characterized in that, described high-speed data sampling unit (3) adopts the high-speed oscilloscope with memory function.
6. vehicular as claimed in claim 1 transformer station shelf depreciation positioning system is characterized in that, described data are processed and analytic unit (4) employing computing machine.
7. vehicular as claimed in claim 1 transformer station shelf depreciation positioning system is characterized in that described signal conditioning circuit (2) is connected 3 with the high-speed data sampling unit) adopt the RF coaxial shielded cable to connect.
8. vehicular transformer station partial discharge positioning method is characterized in that the method includes the steps of:
Step 1, signal receive;
Radio frequency omnidirectional sensor (1) receives the electromagnetic wave signal that transformer station's shelf depreciation produces;
Step 2, signal condition;
Signal conditioning circuit (2) amplifies to the received signal with filtering to be processed;
Step 3, data sampling;
High-speed data sampling unit (3) carries out synchronous acquisition to 4 tunnel output signals;
Step 4, signal de-noising;
Step 5, data processing and analytic unit (4) are set up the equation about spark location according to the mistiming of four groups of signals;
Step 5.1, utilize threshold method to determine the moment corresponding to 4 tunnel signal waveform points of inflexion on a curve, as the initial time of radio frequency electromagnetic signal;
Step 5.2, determine mistiming of each road signal initial time:
Figure 2012103973032100001DEST_PATH_IMAGE002
（1）
Wherein,
Figure 2012103973032100001DEST_PATH_IMAGE010
Be the flex point moment of respective signal squiggle;
Step 5.3, determine the range difference of four sensors and point of discharge:
In sensor plane, set up rectangular coordinate system, suppose that the position of four sensors is respectively in plane coordinate system
Figure 2012103973032100001DEST_PATH_IMAGE012
,
Figure 2012103973032100001DEST_PATH_IMAGE014
,
Figure 2012103973032100001DEST_PATH_IMAGE016
With
Figure 2012103973032100001DEST_PATH_IMAGE018
, spark location is
Figure 2012103973032100001DEST_PATH_IMAGE020
, the distance of point of discharge to four sensor is respectively
Figure 2012103973032100001DEST_PATH_IMAGE022
,
Figure 2012103973032100001DEST_PATH_IMAGE024
,
Figure 2012103973032100001DEST_PATH_IMAGE026
, , then alternate position spike is respectively:
（2）
Figure 2012103973032100001DEST_PATH_IMAGE034
Wherein,
Figure 2012103973032100001DEST_PATH_IMAGE038
,
Figure 2012103973032100001DEST_PATH_IMAGE040
Be propagation velocity of electromagnetic wave,
Figure 367397DEST_PATH_IMAGE020
Be spark location coordinate undetermined;
Step 5.4, set up the equation about spark location:
According to cartesian geometry knowledge, point of discharge is to the range difference between per 2 sensors
Figure 2012103973032100001DEST_PATH_IMAGE044
Can determine that a list props up hyperbolic curve, therefore, set up rectangular coordinate system take the sensor array center as initial point, can determine point of discharge place quadrant by the positive and negative of 4 time delays, and can obtain Hyperbolic Equation, simultaneous can get Nonlinear System of Equations:
Figure DEST_PATH_IMAGE046
（3）
（4）
Figure DEST_PATH_IMAGE050
（5）
Figure DEST_PATH_IMAGE052
（6）
Wherein, , ,
Figure DEST_PATH_IMAGE058
Be the hyperbolic curve focal length, can obtain according to sensor array size;
Step 6, data processing and analytic unit (4) are found the solution the position equation group based on the time difference, calculate spark location, and obtain position angle and the radial distance of Partial Discharge Sources;
The employing Newton iteration method is found the solution the Nonlinear System of Equations based on the time difference:
Simultaneous is about discharge position
Figure 783073DEST_PATH_IMAGE020
Nonlinear equation (3), (4), can obtain the binary quadratic equation group, write as
Figure DEST_PATH_IMAGE060
Form, wherein
Figure DEST_PATH_IMAGE062
,
Figure DEST_PATH_IMAGE064
（7）
If
Figure DEST_PATH_IMAGE066
For an approximate solution of system of equations, then right
Figure DEST_PATH_IMAGE068
Have:
Figure DEST_PATH_IMAGE070
（8）
Being write as vector form is:
Figure DEST_PATH_IMAGE072
（9）
Wherein,
Figure DEST_PATH_IMAGE074
For
Figure DEST_PATH_IMAGE076
Figure DEST_PATH_IMAGE078
Matrix exists
Figure DEST_PATH_IMAGE080
The value at place; If
Figure DEST_PATH_IMAGE082
Value is the root of system of equations (7) , namely
Figure DEST_PATH_IMAGE086
, wushu (8) right-hand member is
Figure DEST_PATH_IMAGE088
Vector
Figure 441106DEST_PATH_IMAGE082
Approximate value as new is designated as
Figure DEST_PATH_IMAGE090
, namely have:
Figure DEST_PATH_IMAGE092
（10）
Formula (10) is the iterative formula of Newton Algorithm Nonlinear System of Equations;
In like manner, the binary quadratic equation group that obtains of simultaneous nonlinear equation (5), (6) can utilize said method to find the solution equally;
By above-mentioned iteration, convergence point can be thought the coordinate of point of discharge in default plane right-angle coordinate
Figure 960949DEST_PATH_IMAGE020
, and then obtain its deflection and radial distance;
Deflection
Figure DEST_PATH_IMAGE094
(11)
Radial distance
Figure DEST_PATH_IMAGE096
(12).
9. vehicular as claimed in claim 8 transformer station partial discharge positioning method is characterized in that, in the described step 3, and every channel sample frequency〉2GS/s.
10. vehicular as claimed in claim 8 transformer station partial discharge positioning method is characterized in that, in the described step 4, data are processed and analytic unit (4) employing wavelet analysis method carries out noise reduction to the waveform signal that collects;
Signal
Figure DEST_PATH_IMAGE098
Continuous wavelet transform be
Figure DEST_PATH_IMAGE100
, wherein:
Figure DEST_PATH_IMAGE102
Be scale factor;
Figure DEST_PATH_IMAGE104
Be respectively shift factor and time variable, be continuous variable; Be female small echo,
Figure DEST_PATH_IMAGE108
Be its complex conjugate; Choose the tight support orthogonal wavelet of many Bei Xi as female small echo, signal is carried out 8 layers of wavelet transformation, and adopt the noise segment threshold value in the staging treating thought Dynamic Selection signal, with its threshold value as the signal Wavelet Denoising Method, can effectively remove the ground unrest in the signal.
CN2012103973032A 2012-10-19 2012-10-19 Vehicle-mounted local discharge locating system for mobile substation and locating method thereof Pending CN102866334A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN2012103973032A CN102866334A (en) 2012-10-19 2012-10-19 Vehicle-mounted local discharge locating system for mobile substation and locating method thereof

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN2012103973032A CN102866334A (en) 2012-10-19 2012-10-19 Vehicle-mounted local discharge locating system for mobile substation and locating method thereof

Publications (1)

Publication Number Publication Date
CN102866334A true CN102866334A (en) 2013-01-09

Family

ID=47445323

Family Applications (1)

Application Number Title Priority Date Filing Date
CN2012103973032A Pending CN102866334A (en) 2012-10-19 2012-10-19 Vehicle-mounted local discharge locating system for mobile substation and locating method thereof

Country Status (1)

Country Link
CN (1) CN102866334A (en)

Cited By (28)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103823164A (en) * 2014-01-15 2014-05-28 云南电力试验研究院（集团）有限公司电力研究院 Ultra-high frequency non-contact partial discharge positioning detecting device and positioning algorithm
CN103884956A (en) * 2014-03-25 2014-06-25 上海局放软件技术有限公司 Device and method for positioning partial discharge of high-voltage equipment through oscilloscope
CN103913680A (en) * 2014-03-17 2014-07-09 上海交通大学 Partial discharging positioning method based on time delay error stochastic simulation and statistic analysis
CN103969559A (en) * 2014-05-15 2014-08-06 国家电网公司 Method and system for positioning local discharge space of power equipment of transformer substation
CN103983903A (en) * 2014-05-15 2014-08-13 国家电网公司 Whole substation partial discharge locating method for utilizing oscilloscope to detect radio-frequency signals
CN104020402A (en) * 2014-06-18 2014-09-03 国网上海市电力公司 Method for reducing noise of transformer substation partial discharging pulse signals collected through pulse triggering
CN104198901A (en) * 2014-08-13 2014-12-10 广东电网公司电力科学研究院 Locating method and system for partial discharge signal of substation
CN104360251A (en) * 2014-12-02 2015-02-18 广西电网公司电力科学研究院 Ultrasonic signal time delay estimation method for partial discharging of potential transformer
CN104614653A (en) * 2015-02-09 2015-05-13 国家电网公司 Array antenna based multiple local discharge point positioning and distinguishing method for local discharge detection device
CN105223481A (en) * 2015-10-22 2016-01-06 西安交通大学 Based on the partial-discharge ultrahigh-frequency signal initial time defining method of difference energy function
CN106019098A (en) * 2016-06-15 2016-10-12 国网北京市电力公司 Partial discharge positioning method, device and system
CN106990390A (en) * 2016-01-20 2017-07-28 华北电力大学 Sensor location positioning method to be measured and device
CN107037271A (en) * 2017-05-24 2017-08-11 国网辽宁省电力有限公司电力科学研究院 A kind of wave electromagnetic radiation source investigation system based on cross-correlated signal Subspace algorithm
CN107329052A (en) * 2017-05-24 2017-11-07 国网辽宁省电力有限公司电力科学研究院 A kind of electric discharge electromagnetic wave time delay value evaluation method based on analog signal
CN107589352A (en) * 2017-09-05 2018-01-16 浙江群力电气有限公司 The localization method and device of a kind of Partial Discharge Sources
CN108279365A (en) * 2018-04-18 2018-07-13 国网江苏省电力有限公司电力科学研究院 Spatial electromagnetic wave monitoring positioning device, system and method in a kind of GIL piping lanes
CN108333480A (en) * 2018-01-04 2018-07-27 国家电网公司华中分部 A kind of localization method of substation's shelf depreciation positioning system
CN109521336A (en) * 2018-11-23 2019-03-26 重庆大学 The automatic monitoring and positioning method of substation's shelf depreciation and system based on crusing robot
CN110533961A (en) * 2019-09-19 2019-12-03 陈晓飞 A kind of relative position detection device for automobile
CN110823560A (en) * 2018-08-07 2020-02-21 上海华依科技集团股份有限公司 Data acquisition method for automatic transmission offline test system
CN111108400A (en) * 2017-09-20 2020-05-05 西门子股份公司 Method and device for detecting partial discharges in an electrical operating mechanism
CN111141998A (en) * 2019-12-20 2020-05-12 国网浙江海盐县供电有限公司 10kV high-voltage cable alternating-current withstand voltage and partial discharge test system and method
CN111505467A (en) * 2020-06-16 2020-08-07 国网天津市电力公司电力科学研究院 Positioning system and method for abnormal discharge signal in transformer partial discharge test
CN111551827A (en) * 2020-04-14 2020-08-18 杭州柯林电气股份有限公司 Wave head initial time detection method and monitoring system applied to partial discharge positioning
CN111693828A (en) * 2020-05-25 2020-09-22 国网安徽省电力有限公司亳州供电公司 Transformer substation space partial discharge positioning system and method based on MLE
CN111880058A (en) * 2020-07-31 2020-11-03 广东电网有限责任公司 Vehicle-mounted mobile partial discharge detection system and detection method thereof
CN112748320A (en) * 2020-12-18 2021-05-04 杭州电子科技大学 Ultrahigh frequency partial discharge fault type detection method and system
CN113009290A (en) * 2021-02-05 2021-06-22 江苏大学 Extra-high voltage GIS equipment partial discharge type identification and positioning method and system

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH085698A (en) * 1994-06-23 1996-01-12 Nissin Electric Co Ltd Method and apparatus for detecting partial discharge
KR20010084956A (en) * 2001-06-11 2001-09-07 강창원 Apparatus for detecting a portion of discharge in a power machinery and tools
CN2748927Y (en) * 2004-08-06 2005-12-28 华北电力大学（北京） Local discharging ultrahigh frequency online fault positioning device for gas insulation transformer station
CN101581745A (en) * 2009-05-21 2009-11-18 华北电力大学 Location method of partial discharge fault source of transformer
CN201903619U (en) * 2010-12-23 2011-07-20 上海市电力公司 Positioning and detection device for partial discharge radio-frequency signal
CN202141781U (en) * 2011-06-21 2012-02-08 山东电力研究院 Online monitoring and positioning device for transformer station partial discharge signals
CN102445641A (en) * 2011-11-01 2012-05-09 上海交通大学 Mobile device for detecting local discharging of electric equipment of substation, and positioning method
CN202939265U (en) * 2012-10-19 2013-05-15 上海市电力公司 Vehicle-mounted transformer substation partial discharge positioning system

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH085698A (en) * 1994-06-23 1996-01-12 Nissin Electric Co Ltd Method and apparatus for detecting partial discharge
KR20010084956A (en) * 2001-06-11 2001-09-07 강창원 Apparatus for detecting a portion of discharge in a power machinery and tools
CN2748927Y (en) * 2004-08-06 2005-12-28 华北电力大学（北京） Local discharging ultrahigh frequency online fault positioning device for gas insulation transformer station
CN101581745A (en) * 2009-05-21 2009-11-18 华北电力大学 Location method of partial discharge fault source of transformer
CN201903619U (en) * 2010-12-23 2011-07-20 上海市电力公司 Positioning and detection device for partial discharge radio-frequency signal
CN202141781U (en) * 2011-06-21 2012-02-08 山东电力研究院 Online monitoring and positioning device for transformer station partial discharge signals
CN102445641A (en) * 2011-11-01 2012-05-09 上海交通大学 Mobile device for detecting local discharging of electric equipment of substation, and positioning method
CN202939265U (en) * 2012-10-19 2013-05-15 上海市电力公司 Vehicle-mounted transformer substation partial discharge positioning system

Non-Patent Citations (6)

* Cited by examiner, † Cited by third party
Title
ILIANA E. PORTUGUÉS等: "RF-Based Partial Discharge Early Warning System for Air-Insulated Substations", 《IEEE TRANSACTIONS ON POWER DELIVERY》 *
MOORE, P.J.等: "Radiometric location of partial discharge sources on energized high-Voltage plant", 《IEEE TRANSACTIONS ON POWER DELIVERY》 *
P. J. MOORE等: "Remote Diagnosis of Overhead Line Insulation Defects", 《POWER ENGINEERING SOCIETY GENERAL MEETING》 *
PHILIP J. MOORE等: "Radiometric Measurement of Circuit Breaker Interpole Switching Times", 《IEEE TRANSACTIONS ON POWER DELIVERY》 *
冯正: "高速异常飞行体落点定位系统软件设计", 《中北大学硕士学位论文》 *
刘瑾: "基于小波分析的超声波信号降噪研究", 《中国石油大学（华东）硕士学位论文》 *

Cited By (35)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103823164A (en) * 2014-01-15 2014-05-28 云南电力试验研究院（集团）有限公司电力研究院 Ultra-high frequency non-contact partial discharge positioning detecting device and positioning algorithm
CN103913680B (en) * 2014-03-17 2016-09-07 上海交通大学 Partial discharge positioning method based on time delay error stochastic simulation Yu statistical analysis
CN103913680A (en) * 2014-03-17 2014-07-09 上海交通大学 Partial discharging positioning method based on time delay error stochastic simulation and statistic analysis
CN103884956A (en) * 2014-03-25 2014-06-25 上海局放软件技术有限公司 Device and method for positioning partial discharge of high-voltage equipment through oscilloscope
CN103969559A (en) * 2014-05-15 2014-08-06 国家电网公司 Method and system for positioning local discharge space of power equipment of transformer substation
CN103983903A (en) * 2014-05-15 2014-08-13 国家电网公司 Whole substation partial discharge locating method for utilizing oscilloscope to detect radio-frequency signals
CN104020402A (en) * 2014-06-18 2014-09-03 国网上海市电力公司 Method for reducing noise of transformer substation partial discharging pulse signals collected through pulse triggering
CN104198901A (en) * 2014-08-13 2014-12-10 广东电网公司电力科学研究院 Locating method and system for partial discharge signal of substation
CN104360251A (en) * 2014-12-02 2015-02-18 广西电网公司电力科学研究院 Ultrasonic signal time delay estimation method for partial discharging of potential transformer
CN104614653A (en) * 2015-02-09 2015-05-13 国家电网公司 Array antenna based multiple local discharge point positioning and distinguishing method for local discharge detection device
CN105223481B (en) * 2015-10-22 2018-01-19 西安交通大学 Partial-discharge ultrahigh-frequency signal initial time based on difference energy function determines method
CN105223481A (en) * 2015-10-22 2016-01-06 西安交通大学 Based on the partial-discharge ultrahigh-frequency signal initial time defining method of difference energy function
CN106990390A (en) * 2016-01-20 2017-07-28 华北电力大学 Sensor location positioning method to be measured and device
CN106019098A (en) * 2016-06-15 2016-10-12 国网北京市电力公司 Partial discharge positioning method, device and system
CN107037271A (en) * 2017-05-24 2017-08-11 国网辽宁省电力有限公司电力科学研究院 A kind of wave electromagnetic radiation source investigation system based on cross-correlated signal Subspace algorithm
CN107329052A (en) * 2017-05-24 2017-11-07 国网辽宁省电力有限公司电力科学研究院 A kind of electric discharge electromagnetic wave time delay value evaluation method based on analog signal
CN107589352A (en) * 2017-09-05 2018-01-16 浙江群力电气有限公司 The localization method and device of a kind of Partial Discharge Sources
CN111108400A (en) * 2017-09-20 2020-05-05 西门子股份公司 Method and device for detecting partial discharges in an electrical operating mechanism
US11372040B2 (en) 2017-09-20 2022-06-28 Siemens Energy Global GmbH & Co. KG Method and arrangement for detecting partial discharges in an electric operating means
CN111108400B (en) * 2017-09-20 2023-03-10 西门子能源全球有限两合公司 Method and device for detecting partial discharges in an electrical operating mechanism
CN108333480A (en) * 2018-01-04 2018-07-27 国家电网公司华中分部 A kind of localization method of substation's shelf depreciation positioning system
CN108279365A (en) * 2018-04-18 2018-07-13 国网江苏省电力有限公司电力科学研究院 Spatial electromagnetic wave monitoring positioning device, system and method in a kind of GIL piping lanes
CN110823560A (en) * 2018-08-07 2020-02-21 上海华依科技集团股份有限公司 Data acquisition method for automatic transmission offline test system
CN109521336A (en) * 2018-11-23 2019-03-26 重庆大学 The automatic monitoring and positioning method of substation's shelf depreciation and system based on crusing robot
CN110533961A (en) * 2019-09-19 2019-12-03 陈晓飞 A kind of relative position detection device for automobile
CN111141998A (en) * 2019-12-20 2020-05-12 国网浙江海盐县供电有限公司 10kV high-voltage cable alternating-current withstand voltage and partial discharge test system and method
CN111551827A (en) * 2020-04-14 2020-08-18 杭州柯林电气股份有限公司 Wave head initial time detection method and monitoring system applied to partial discharge positioning
CN111693828A (en) * 2020-05-25 2020-09-22 国网安徽省电力有限公司亳州供电公司 Transformer substation space partial discharge positioning system and method based on MLE
CN111505467A (en) * 2020-06-16 2020-08-07 国网天津市电力公司电力科学研究院 Positioning system and method for abnormal discharge signal in transformer partial discharge test
CN111505467B (en) * 2020-06-16 2024-02-27 国网天津市电力公司电力科学研究院 Positioning system and method for abnormal discharge signals in partial discharge test of transformer
CN111880058A (en) * 2020-07-31 2020-11-03 广东电网有限责任公司 Vehicle-mounted mobile partial discharge detection system and detection method thereof
CN111880058B (en) * 2020-07-31 2023-01-24 广东电网有限责任公司 Detection method applied to vehicle-mounted mobile partial discharge detection system
CN112748320A (en) * 2020-12-18 2021-05-04 杭州电子科技大学 Ultrahigh frequency partial discharge fault type detection method and system
CN113009290A (en) * 2021-02-05 2021-06-22 江苏大学 Extra-high voltage GIS equipment partial discharge type identification and positioning method and system
CN113009290B (en) * 2021-02-05 2022-12-16 江苏大学 Extra-high voltage GIS equipment partial discharge type identification and positioning method and system

Similar Documents

Publication Publication Date Title
CN102866334A (en) Vehicle-mounted local discharge locating system for mobile substation and locating method thereof
CN202939265U (en) Vehicle-mounted transformer substation partial discharge positioning system
CN102445641A (en) Mobile device for detecting local discharging of electric equipment of substation, and positioning method
CN102331542B (en) Transformer substation local discharging signal online monitoring and positioning method
CN102830333B (en) Transformer substation local discharge positioning method based on electromagnetic antenna array signal processing
CN103983903A (en) Whole substation partial discharge locating method for utilizing oscilloscope to detect radio-frequency signals
CN104360240A (en) Quick detecting device and method for defective equipment of transformer substation
CN103913683B (en) A kind of Partial Discharge Sources method for rapidly positioning based on double-H groove weld HF sensor
CN103969559A (en) Method and system for positioning local discharge space of power equipment of transformer substation
CN105319487A (en) Transformer station partial discharge signal detection and positioning system and method
US20150120218A1 (en) Novel method for real time tests and diagnosis of partial discharge sources in high voltage equipment and installations, which are in service or out of service, and physical system for the practical use of the method
CN201269916Y (en) Regional discharging detection system for air insulation combined electrical appliance
CN203838296U (en) Multi-path signal peak collection device based on partial-discharge spatial orientation system
CN106556783A (en) A kind of shelf depreciation direction-finding method in transformer station based on superfrequency phased array principle
CN104614653A (en) Array antenna based multiple local discharge point positioning and distinguishing method for local discharge detection device
CN109239555B (en) Automatic directional transformer station partial discharge monitoring and positioning device and method
CN103424675A (en) Ultrahigh frequency antenna array partial discharge detection system
CN204203408U (en) Transformer station's defect equipment device for fast detecting
CN110108993B (en) Multi-frequency-band three-dimensional combined test method for partial discharge of power equipment
CN107942212A (en) A kind of substation's partial discharge positioning method without blur estimation based on spatial spectrum
CN104569764A (en) Live detection system for creeping discharge of composite apparatus and method thereof
Dhara et al. A UHF sensor based partial discharge monitoring system for air insulated electrical substations
CN101833060B (en) Positioning device for monitoring partial discharge of gas-insulater switchgear on line
CN103592584B (en) A kind of transformer station's discharge source localization method based on Electromagnetic Wave Detection
CN204945316U (en) The harvester of live detection electromagnetic interference (EMI) is put in office of transformer station

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C12 Rejection of a patent application after its publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20130109