CN107909757B - Vibration source early warning method of optical fiber vibration safety early warning system based on sequential detection - Google Patents
Vibration source early warning method of optical fiber vibration safety early warning system based on sequential detection Download PDFInfo
- Publication number
- CN107909757B CN107909757B CN201711108251.1A CN201711108251A CN107909757B CN 107909757 B CN107909757 B CN 107909757B CN 201711108251 A CN201711108251 A CN 201711108251A CN 107909757 B CN107909757 B CN 107909757B
- Authority
- CN
- China
- Prior art keywords
- alarm
- sequential
- degree
- early warning
- optical fiber
- 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.)
- Active
Links
- 239000013307 optical fiber Substances 0.000 title claims abstract description 40
- 238000000034 method Methods 0.000 title claims abstract description 30
- 238000001514 detection method Methods 0.000 title claims abstract description 28
- 238000012790 confirmation Methods 0.000 claims description 6
- 238000010183 spectrum analysis Methods 0.000 claims description 4
- 238000002372 labelling Methods 0.000 claims description 3
- 230000000630 rising effect Effects 0.000 claims description 3
- 238000004458 analytical method Methods 0.000 abstract description 7
- 230000004044 response Effects 0.000 abstract description 7
- 230000001186 cumulative effect Effects 0.000 abstract 1
- 238000013507 mapping Methods 0.000 description 5
- 238000007781 pre-processing Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 230000003247 decreasing effect Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000006386 memory function Effects 0.000 description 2
- 238000001228 spectrum Methods 0.000 description 2
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 239000003208 petroleum Substances 0.000 description 1
- 238000012706 support-vector machine Methods 0.000 description 1
- 238000012549 training Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/02—Mechanical actuation
- G08B13/12—Mechanical actuation by the breaking or disturbance of stretched cords or wires
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H9/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by using radiation-sensitive means, e.g. optical means
- G01H9/004—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by using radiation-sensitive means, e.g. optical means using fibre optic sensors
Abstract
The invention discloses a vibration source early warning method of an optical fiber vibration safety early warning system based on sequential detection, which comprises the following steps: acquiring optical fiber vibration signal data, determining the spatial position of the vibration signal data in an optical fiber, and establishing a two-dimensional array based on time and spatial arrangement, wherein: the abscissa of the two-dimensional array is the spatial position axis, the ordinate of the two-dimensional array is a time axis, and the early warning method further comprises the following steps: the first step is as follows: establishing a two-dimensional sequential detection model according to the two-dimensional array; the second step is that: determining an alarm level through the established two-dimensional sequential detection model, and executing alarm output; compared with the prior art, the method has the advantages of high response speed, low false alarm rate and low false alarm rate, and adopts a sequential method to carry out cumulative analysis on the alarm degree, thereby ensuring the contribution of each vibration to the alarm degree and realizing the quick response to the continuous vibration source.
Description
Technical Field
The invention relates to a vibration source early warning method of an optical fiber vibration safety early warning system based on sequential detection, which is a new solution scheme provided for reducing parameters such as response time, system false alarm rate, alarm leakage rate and the like of the traditional safety early warning system based on frequency.
Background
With the rapid development of urban construction, more and more building facilities and areas need to be protected safely, such as military facilities, power stations, hospitals, petroleum pipelines and the like. The optical fiber vibration safety early warning system adopts the passive distributed optical fiber as a sensor, and has the advantages of strong anti-interference capability, large detection distance and the like. The optical fiber vibration safety early warning system detects external vibration signals along the optical fiber line, automatically identifies vibration source types through relevant processing of detection signals, realizes timely warning of harmful behaviors and has important practical value.
At present, the signal detection technology is relatively mature, and the signal-to-noise ratio analysis is performed on the vibration data acquired by the sensor to extract a signal part, so that the existence of the signal is judged. However, there is a difficulty in identifying the type of signal detected. The existing common vibration source identification methods comprise a linear classifier, a neural network, variance analysis, chaos analysis, a support vector machine and the like, and the methods need to learn and train a large number of samples, are large in calculated amount, and have the problems of training convergence and the like.
For vibration signals detected in the early warning system, once the vibration source type is determined, corresponding early warning processing can be performed, however, in most cases, the vibration source type has the characteristics of high identification difficulty, many new vibration source types and the like, and therefore, for the situation, the continuity of the vibration source needs to be analyzed, and the system false alarm rate and the false alarm rate are reduced. The method aims at the problems of false alarm rate, false alarm rate omission and the like in the optical fiber safety early warning system.
Disclosure of Invention
The invention aims to provide a vibration source early warning method of an optical fiber vibration safety early warning system based on sequential detection, which analyzes the possibility of harmful vibration sources at the same position (namely the alarm degree), establishes a secondary early warning strategy model, reduces the false alarm rate and the false alarm rate of the system, realizes automatic classification of alarm types and enhances the practical value of the system.
In order to achieve the purpose, the technical scheme of the invention is as follows: a vibration source early warning method of an optical fiber vibration safety early warning system based on sequential detection comprises the following steps: acquiring optical fiber vibration signal data, determining the spatial position of the vibration signal data in an optical fiber, and establishing a two-dimensional array based on time and spatial arrangement, wherein: the abscissa of the two-dimensional array is the spatial position axis, the ordinate of the two-dimensional array is a time axis, and the early warning method further comprises the following steps:
the first step is as follows: establishing a two-dimensional sequential detection model according to the two-dimensional array;
the second step is that: determining an alarm level through the established two-dimensional sequential detection model, and executing alarm output;
the two-dimensional sequential detection model is a formula:
in the formula:
l (t, k) represents the sequential alarm degree at the kth position at the time t;
Δ L (t, k) represents the sequential alarm degree increment at kth position at time t;
t represents time in seconds on the time axis;
k represents the position point of the vibration signal on the spatial position axis;
knthe length of a protection interval of the nth point in the axial direction of the spatial position;
xt,jdenotes time t, j ═ k-knA vibration signal amplitude coefficient at each location;
S(xt,j) Representing the amplitude coefficient of the vibration signal as xt,jA lower alarm degree coefficient;
alpha is a sequential alarm degree rising factor, and alpha is greater than 0;
gamma is a sequential alarm degree reduction factor, and gamma is less than 0;
εka vibration signal continuity factor for the kth position;
the alarm level is determined through the established two-dimensional sequential detection model, and the alarm output is executed as follows:
setting alarm levels as two levels, namely a first-level early warning and a second-level alarm, and setting an early warning threshold value and an alarm threshold value respectively;
calculating the two-dimensional array by using the two-dimensional sequential detection model to obtain the sequential alarm degree of the vibration signal data at the spatial position of the optical fiber, (calculating the sequential alarm degree of all the vibration signals after preprocessing and alarm degree mapping), and comparing the sequential alarm degree with an early warning threshold value and an alarm threshold value:
when the sequential alarm degree is higher than the early-warning threshold value, determining to send out an early-warning alarm signal for early-warning alarm, and recording early-warning time and position information;
when the sequential alarm degree is higher than the alarm threshold value, determining to send out an advanced alarm signal for advanced alarm, and recording alarm time and position information;
when the sequential alarm degree continuously exceeds a set duration threshold value between the early warning threshold value and the alarm threshold value, determining to send out a low-level alarm signal for low-level alarm, and recording alarm time and position information.
The scheme is further as follows: the determination of the spatial position of the vibration signal data in the optical fiber is as follows: and dividing the acquired optical fiber vibration signal data into the section position of the vibration signal in the optical fiber through spectrum analysis, wherein the section position is the space position of the optical fiber.
The scheme is further as follows: the method steps further include:
and when the sequential alarm degree at the same position is reduced from being higher than the early-warning threshold value to being lower than the early-warning threshold value, the early-warning alarm signal is released, and the release time and the position information are recorded.
The scheme is further as follows: the obtaining formula of the vibration signal continuity factor is as follows:
wherein: t is tnThe protection time length is the sequential alarm degree reduction.
The scheme is further as follows: the method steps further include: establishing an alarm level confirmation model, and automatically labeling the alarm level, wherein the alarm level confirmation model can be expressed as a formula:
nk＝f(t2,k-t1,k)
wherein:
nkindicating an alarm level for the kth location point;
t1,krepresenting the k position point early warning time;
t2,kindicating the kth position point alarm time.
The scheme is further as follows: the value range of the alarm degree coefficient is 0-1, the sequential alarm degree increasing factor is equal to 1, and the sequential alarm degree decreasing factor is equal to-0.2.
Compared with the prior art, the invention has the beneficial effects that:
1. the response speed is high, the alarm degree is subjected to accumulated analysis by adopting a sequential method, the contribution of each vibration to the alarm degree is ensured, and the quick response to the continuous vibration source is realized;
2. the false alarm rate is low, a secondary early warning strategy model is adopted, and a mapping function model from vibration data to alarm degree is combined, so that the influence of interference signals on an alarm strategy is avoided, and the false alarm rate of the system is reduced;
3. the false-missing rate is low, an algorithm based on the sequential alarm degree is established, a certain memory function is provided for intermittent signals, and the low false-missing rate is realized.
The invention is described in detail below with reference to the figures and examples.
Drawings
FIG. 1 is a schematic illustration of pre-processed field vibration signal data according to the present invention;
FIG. 2 is a schematic diagram of a two-dimensional sequential alarm degree algorithm of the present invention;
FIG. 3 is a graph illustrating the results of sequential alarm calculation;
FIG. 4 is a schematic diagram of the two-stage early warning strategy of the present invention.
Detailed Description
A vibration source early warning method of an optical fiber vibration safety early warning system based on sequential detection comprises the following steps: acquiring optical fiber vibration signal data, preprocessing the acquired vibration signal data, determining the spatial position of the vibration signal data in an optical fiber, and establishing a two-dimensional array based on time and spatial arrangement as shown in fig. 1, wherein: the abscissa of the two-dimensional array is the spatial position axis, the ordinate of the two-dimensional array is a time axis, and the early warning method further comprises the following steps:
the first step is as follows: establishing a two-dimensional sequential detection model according to the two-dimensional array;
the second step is that: determining an alarm level through the established two-dimensional sequential detection model, and executing alarm output;
the two-dimensional sequential detection model is a formula:
in the formula:
l (t, k) represents the sequential alarm degree at the kth position at the time t;
Δ L (t, k) represents the sequential alarm degree increment at kth position at time t;
t represents time in seconds on the time axis;
k represents the position point of the vibration signal on the spatial position axis;
knthe length of a protection interval of the nth point in the axial direction of the spatial position;
xt,jdenotes time t, j ═ k-knA vibration signal amplitude coefficient at each location; x is the number oft,j≥0
S(xt,j) Representing the amplitude coefficient of the vibration signal as xt,jA lower alarm degree coefficient;
alpha is a sequential alarm degree rising factor, and alpha is greater than 0;
gamma is a sequential alarm degree reduction factor, and gamma is less than 0;
εka vibration signal continuity factor for the kth position;
fig. 2 shows the principle of the two-dimensional sequential alarm degree algorithm, which is an embodiment of fig. 1, and the lateral direction represents the position of the section of the optical fiber, and fig. 3 is a corresponding sequential alarm degree calculation result curve.
The alarm level is determined through the established two-dimensional sequential detection model, and the alarm output is executed as follows:
as shown in fig. 4, the alarm levels are set to two levels, namely, a first-level early warning and a second-level alarm, and an early warning threshold value, such as the low threshold in fig. 4, and an alarm threshold value, such as the high threshold in fig. 4, are set respectively;
calculating the two-dimensional array by using the two-dimensional sequential detection model to obtain the sequential alarm degree of the vibration signal data at the spatial position of the optical fiber, (calculating the sequential alarm degree of all the vibration signals after preprocessing and alarm degree mapping), and comparing the sequential alarm degree with an early warning threshold value and an alarm threshold value:
when the sequential alarm degree is higher than the early-warning threshold value, determining to send out an early-warning alarm signal for early-warning alarm, and recording early-warning time and position information;
when the sequential alarm degree is higher than the alarm threshold value, determining to send out an advanced alarm signal for advanced alarm, and recording alarm time and position information;
when the sequential alarm degree continuously exceeds a set duration threshold value between the early warning threshold value and the alarm threshold value, determining to send a low-level alarm signal for low-level alarm, and recording alarm time and position information; the time threshold may be set according to actual needs, and may be, for example, several hundred milliseconds, or several seconds, or several tens of seconds.
Wherein: the determination of the spatial position of the vibration signal data in the optical fiber is as follows: and dividing the acquired optical fiber vibration signal data into the section position of the vibration signal in the optical fiber through spectrum analysis, wherein the section position is the space position of the optical fiber.
The preprocessing signal is a real number not less than 0, the larger the numerical value is, the stronger the vibration is, the higher the contribution rate to the alarm degree is, the vibration signal data is actually an optical fiber vibration frequency spectrum signal, the preprocessing is to find out the position of an optical fiber section corresponding to the frequency spectrum signal by utilizing frequency spectrum analysis, and further to determine the spatial position of the vibration signal data in the optical fiber, and the method is a known mature technology.
In the examples: the method steps further include:
and when the sequential alarm degree at the same position is reduced from being higher than the early-warning threshold value to being lower than the early-warning threshold value, the early-warning alarm signal is released, and the release time and the position information are recorded.
Wherein: the obtaining formula of the vibration signal continuity factor is as follows:
wherein: t is tnThe protection time length is the sequential alarm degree reduction.
Wherein: the method steps further include: establishing an alarm level confirmation model, and automatically labeling the alarm level, wherein the alarm level confirmation model can be expressed as a formula:
nk＝f(t2,k-t1,k)
wherein:
nkindicating an alarm level for the kth location point;
t1,krepresenting the k position point early warning time;
t2,kindicating the kth position point alarm time.
The preferable scheme is as follows: the value range of the alarm degree coefficient is 0-1, the sequential alarm degree increasing factor alpha is equal to 1, and the sequential alarm degree decreasing factor gamma is equal to-0.2.
In an embodiment, the signal preprocessed as described above is a number not less than 0, and the data is greater than zero only when the presence of the vibration signal is detected. Because the amount of preprocessed signal data is large, in order to avoid system alarm caused by one time of large preprocessed data, an alarm degree coefficient S (x) is sett,j) The range of the value range is 0-1, and the influence range of each vibration on the alarm degree is ensured to be changed between 0 and 1 by establishing a mapping relation from the vibration data to the alarm degree, and the relational expression is as follows:
wherein:
xt,jrepresenting the amplitude coefficient, x, of the preprocessed vibration signalt,j≥0；
S(xt,j) Representing the signal amplitude coefficient as xt,jThe alarm degree under the condition is in a value range of 0-1;
beta represents a factor of the alarm degree changing along with the vibration signal, beta is greater than 0 and is an empirical parameter, and beta is usually 1;
S0indicating degree of alarmAdjusting the coefficient;
to prevent the deviation of the acquired vibration signals due to the positioning accuracy, k is usednThe guard interval length is shown by a long and horizontal dashed line in fig. 2. Meanwhile, t is set in consideration of signal continuity factorsnAs the signal continuity determination threshold, as shown by a vertical dashed line box in fig. 2, the relationship of the corresponding vibration signal continuity determination factor is:
in the above embodiment, a schematic diagram of a two-dimensional sequential alarm degree algorithm is shown in fig. 2, where calculating the sequential alarm degree at time t and position k involves t being prior to tnTime and left and right knVibration data of the spot. By calculating the sequential alarm degree information of all the points and combining the two-stage early warning strategy model and the early warning level model shown in fig. 4, the early warning level analysis is performed on the vibration source at the current position, and the automatic processing of the alarm and the alarm level is realized. The advantages are that: the response speed is high, the alarm degree is subjected to accumulated analysis by adopting a sequential method, the contribution of each vibration to the alarm degree is ensured, and the quick response to the continuous vibration source is realized; the false alarm rate is low, a secondary early warning strategy model is adopted, and a mapping function model from vibration data to alarm degree is combined, so that the influence of interference signals on an alarm strategy is avoided, and the false alarm rate of the system is reduced; the false-missing rate is low, an algorithm based on the sequential alarm degree is established, a certain memory function is provided for intermittent signals, and the low false-missing rate is realized.
Claims (5)
1. A vibration source early warning method of an optical fiber vibration safety early warning system based on sequential detection comprises the following steps: acquiring optical fiber vibration signal data, determining the spatial position of the vibration signal data in an optical fiber, and establishing a two-dimensional array based on time and spatial arrangement, wherein: the abscissa of the two-dimensional array is the spatial position axis, and the ordinate of the two-dimensional array is a time axis, and the early warning method is characterized by further comprising the following steps:
the first step is as follows: establishing a two-dimensional sequential detection model according to the two-dimensional array;
the second step is that: determining an alarm level through the established two-dimensional sequential detection model, and executing alarm output;
the two-dimensional sequential detection model is a formula:
in the formula:
l (t, k) represents the sequential alarm degree at the kth position at the time t;
Δ L (t, k) represents the sequential alarm degree increment at kth position at time t;
t represents time in seconds on the time axis;
k represents the position point of the vibration signal on the spatial position axis;
knthe length of a protection interval of the nth point in the axial direction of the spatial position;
xt,jdenotes time t, j ═ k-knA vibration signal amplitude coefficient at each location;
S(xt,j) The alarm degree coefficient is represented, and the value range is 0-1;
alpha is a sequential alarm degree rising factor, and alpha is greater than 0;
gamma is a sequential alarm degree reduction factor, and gamma is less than 0;
εkin order to be a factor of the continuity,
wherein: t is tnThe protection time length is the sequential alarm degree reduction;
the alarm level is determined through the established two-dimensional sequential detection model, and the alarm output is executed as follows:
setting alarm levels as two levels, namely a first-level early warning and a second-level alarm, and setting an early warning threshold value and an alarm threshold value respectively;
calculating the two-dimensional array by using the two-dimensional sequential detection model, acquiring the sequential alarm degree of the vibration signal data at the spatial position of the optical fiber, and comparing the sequential alarm degree with an early warning threshold value and an alarm threshold value:
when the sequential alarm degree is higher than the early-warning threshold value, determining to send out an early-warning alarm signal for early-warning alarm, and recording early-warning time and position information;
when the sequential alarm degree is higher than the alarm threshold value, determining to send out an advanced alarm signal for advanced alarm, and recording alarm time and position information;
when the sequential alarm degree continuously exceeds a set duration threshold value between the early warning threshold value and the alarm threshold value, determining to send out a low-level alarm signal for low-level alarm, and recording alarm time and position information.
2. The method of claim 1, wherein determining the spatial location of the vibration signal data in the optical fiber is: and dividing the acquired optical fiber vibration signal data into the section position of the vibration signal in the optical fiber through spectrum analysis, wherein the section position is the space position of the optical fiber.
3. The method of claim 1, wherein the method steps further comprise:
and when the sequential alarm degree at the same position is reduced from being higher than the early-warning threshold value to being lower than the early-warning threshold value, the early-warning alarm signal is released, and the release time and the position information are recorded.
4. The method of claim 1, wherein the method steps further comprise: establishing an alarm level confirmation model, and automatically labeling the alarm level, wherein the alarm level confirmation model can be expressed as a formula:
nk＝f(t2,k-t1,k)
wherein:
nkindicating an alarm level for the kth location point;
t1,krepresenting the k position point early warning time;
t2,kindicating the kth position point alarm time.
5. Method according to claim 1, characterized in that the sequential alarm degree increase factor is equal to 1 and the sequential alarm degree decrease factor is equal to-0.2.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711108251.1A CN107909757B (en) | 2017-11-09 | 2017-11-09 | Vibration source early warning method of optical fiber vibration safety early warning system based on sequential detection |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711108251.1A CN107909757B (en) | 2017-11-09 | 2017-11-09 | Vibration source early warning method of optical fiber vibration safety early warning system based on sequential detection |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107909757A CN107909757A (en) | 2018-04-13 |
| CN107909757B true CN107909757B (en) | 2019-12-27 |
Family
ID=61844981
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711108251.1A Active CN107909757B (en) | 2017-11-09 | 2017-11-09 | Vibration source early warning method of optical fiber vibration safety early warning system based on sequential detection |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107909757B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109612568B (en) * | 2018-11-22 | 2021-06-29 | 北京航天易联科技发展有限公司 | Vibration source moving interference source identification method |
| CN110672196B (en) * | 2019-08-22 | 2021-09-24 | 北京航天易联科技发展有限公司 | Mobile interference vibration source filtering method based on image operator |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102563360A (en) * | 2012-01-16 | 2012-07-11 | 北方工业大学 | Vibration event detection method of pipeline safety early warning system based on sequential probability ratio detection |
| CN104966076A (en) * | 2015-07-21 | 2015-10-07 | 北方工业大学 | Optical fiber intrusion signal classification and identification method based on support vector machine |
| CN106525215A (en) * | 2016-11-03 | 2017-03-22 | 南京派光信息技术有限公司 | Cut slope rockfall monitoring method based on distributed fiber vibration sensing |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8140282B2 (en) * | 2008-05-23 | 2012-03-20 | Oracle America, Inc. | Determining a total length for conductive whiskers in computer systems |
-
2017
- 2017-11-09 CN CN201711108251.1A patent/CN107909757B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102563360A (en) * | 2012-01-16 | 2012-07-11 | 北方工业大学 | Vibration event detection method of pipeline safety early warning system based on sequential probability ratio detection |
| CN104966076A (en) * | 2015-07-21 | 2015-10-07 | 北方工业大学 | Optical fiber intrusion signal classification and identification method based on support vector machine |
| CN106525215A (en) * | 2016-11-03 | 2017-03-22 | 南京派光信息技术有限公司 | Cut slope rockfall monitoring method based on distributed fiber vibration sensing |
Non-Patent Citations (2)
| Title |
|---|
| "光纤振动信号的振源检测算法与实现";邱瑞;《CNKI优秀硕士学位论文全文库》;20160520;全文 * |
| "基于多维特征的振源识别算法研究";陈雨佳;《CNKI优秀硕士学位论文全文库》;20161215;全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107909757A (en) | 2018-04-13 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109230351B (en) | Method for identifying abnormal operation of belt conveyor | |
| CN103456175B (en) | Accompanying vehicle real-time detection method based on vehicle registration plate recognition and meshing monitoring | |
| CN102164270A (en) | Intelligent video monitoring method and system capable of exploring abnormal events | |
| CN105389917B (en) | A kind of quick method for early warning based on phase sensitive optical time domain reflectometer | |
| CN106054889A (en) | Robot autonomous barrier avoiding method and device | |
| CN106168484A (en) | The pulse signal identification system of boundary line, method and intelligence mowing system | |
| CN113096397B (en) | Traffic jam analysis method based on millimeter wave radar and video detection | |
| CN107273802B (en) | Method and device for detecting fault of brake shoe drill rod ring of railway train | |
| CN107909757B (en) | Vibration source early warning method of optical fiber vibration safety early warning system based on sequential detection | |
| CN108288055A (en) | Block of bow collector of electric locomotive based on depth network and placement test and arc method for measuring | |
| CN103226028A (en) | Method for identifying and detecting disturbance signals of phase-sensitive optical time domain reflectometer | |
| CN103675791B (en) | Based on the Mie scattering lidar cloud recognition methods of numeric distribution equalization | |
| CN103559508A (en) | Video vehicle detection method based on continuous Adaboost | |
| CN109612568B (en) | Vibration source moving interference source identification method | |
| CN111862065A (en) | Power transmission line diagnosis method and system based on multitask deep convolutional neural network | |
| CN105227918B (en) | A kind of intelligent control method | |
| CN106097725A (en) | A kind of vehicle classification flow rate testing methods extracted based on behavioral characteristics | |
| CN112541480A (en) | Online identification method and system for tunnel foreign matter invasion event | |
| CN111325708B (en) | Transmission line detection method and server | |
| CN112446320B (en) | Fuzzy recognition logic gate multiple complementary partial discharge distinguishing device and method | |
| CN107194923B (en) | Ultraviolet image diagnosis method for defect inspection of contact network power equipment | |
| CN116580551A (en) | Vehicle driving behavior evaluation method, device, equipment and storage medium | |
| CN113076899B (en) | High-voltage transmission line foreign matter detection method based on target tracking algorithm | |
| KR20200123324A (en) | A method for pig segmentation using connected component analysis and yolo algorithm | |
| CN112268515B (en) | Platform door gap anti-pinch detection method and system based on multi-sensor fusion technology |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of invention: Vibration source early warning method of optical fiber vibration safety early warning system based on sequential detection Effective date of registration: 20211012 Granted publication date: 20191227 Pledgee: Beijing Yizhuang International Financing Guarantee Co.,Ltd. Pledgor: BEIJING AEROSPACE YILIAN SCIENCE AND TECHNOLOGY DEVELOPMENT Co.,Ltd. Registration number: Y2021990000950 |
|
| PE01 | Entry into force of the registration of the contract for pledge of patent right | ||
| PC01 | Cancellation of the registration of the contract for pledge of patent right |
Date of cancellation: 20220923 Granted publication date: 20191227 Pledgee: Beijing Yizhuang International Financing Guarantee Co.,Ltd. Pledgor: BEIJING AEROSPACE YILIAN SCIENCE AND TECHNOLOGY DEVELOPMENT Co.,Ltd. Registration number: Y2021990000950 |
|
| PC01 | Cancellation of the registration of the contract for pledge of patent right | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of invention: Vibration source pre-warning method of optical fiber vibration safety pre-warning system based on sequential detection Effective date of registration: 20220923 Granted publication date: 20191227 Pledgee: Beijing Yizhuang International Financing Guarantee Co.,Ltd. Pledgor: BEIJING AEROSPACE YILIAN SCIENCE AND TECHNOLOGY DEVELOPMENT Co.,Ltd. Registration number: Y2022990000667 |
|
| PE01 | Entry into force of the registration of the contract for pledge of patent right | ||
| CP03 | Change of name, title or address |
Address after: Building 24, 18th Courtyard, Kechuang 13th Street, Beijing Economic and Technological Development Zone, Daxing District, Beijing, 100176 Patentee after: Beijing Aerospace Tianhong Intelligent Equipment Technology Co.,Ltd. Address before: Building 24, yard 18, Kechuang 13th Street, Daxing Economic and Technological Development Zone, Beijing 100176 Patentee before: BEIJING AEROSPACE YILIAN SCIENCE AND TECHNOLOGY DEVELOPMENT Co.,Ltd. |
|
| CP03 | Change of name, title or address | ||
| PC01 | Cancellation of the registration of the contract for pledge of patent right |
Date of cancellation: 20230919 Granted publication date: 20191227 Pledgee: Beijing Yizhuang International Financing Guarantee Co.,Ltd. Pledgor: BEIJING AEROSPACE YILIAN SCIENCE AND TECHNOLOGY DEVELOPMENT Co.,Ltd. Registration number: Y2022990000667 |
|
| PC01 | Cancellation of the registration of the contract for pledge of patent right | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of invention: Vibration source warning method for fiber optic vibration safety warning system based on sequential detection Effective date of registration: 20230919 Granted publication date: 20191227 Pledgee: Beijing Yizhuang International Financing Guarantee Co.,Ltd. Pledgor: Beijing Aerospace Tianhong Intelligent Equipment Technology Co.,Ltd. Registration number: Y2023990000460 |
|
| PE01 | Entry into force of the registration of the contract for pledge of patent right |