CN117498931A - Efficient optical cable inspection system - Google Patents
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- CN117498931A CN117498931A CN202311435300.8A CN202311435300A CN117498931A CN 117498931 A CN117498931 A CN 117498931A CN 202311435300 A CN202311435300 A CN 202311435300A CN 117498931 A CN117498931 A CN 117498931A
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- 230000003287 optical effect Effects 0.000 title claims abstract description 94
- 238000007689 inspection Methods 0.000 title claims abstract description 43
- 238000001514 detection method Methods 0.000 claims abstract description 20
- 238000012795 verification Methods 0.000 claims abstract description 18
- 230000006870 function Effects 0.000 claims description 20
- 238000004891 communication Methods 0.000 claims description 10
- 238000013500 data storage Methods 0.000 claims description 10
- 239000013307 optical fiber Substances 0.000 claims description 6
- 238000005457 optimization Methods 0.000 claims description 6
- 230000001360 synchronised effect Effects 0.000 claims description 5
- 238000012549 training Methods 0.000 claims description 4
- 238000010219 correlation analysis Methods 0.000 claims description 3
- 230000003993 interaction Effects 0.000 claims description 3
- 238000007781 pre-processing Methods 0.000 claims description 3
- 239000000835 fiber Substances 0.000 claims 9
- 238000000034 method Methods 0.000 abstract description 5
- 230000008569 process Effects 0.000 abstract description 3
- 239000000463 material Substances 0.000 abstract description 2
- 230000006872 improvement Effects 0.000 description 9
- 238000012423 maintenance Methods 0.000 description 3
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- 230000001276 controlling effect Effects 0.000 description 2
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- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000002596 correlated effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B10/00—Transmission systems employing electromagnetic waves other than radio-waves, e.g. infrared, visible or ultraviolet light, or employing corpuscular radiation, e.g. quantum communication
- H04B10/07—Arrangements for monitoring or testing transmission systems; Arrangements for fault measurement of transmission systems
- H04B10/075—Arrangements for monitoring or testing transmission systems; Arrangements for fault measurement of transmission systems using an in-service signal
- H04B10/079—Arrangements for monitoring or testing transmission systems; Arrangements for fault measurement of transmission systems using an in-service signal using measurements of the data signal
- H04B10/0791—Fault location on the transmission path
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
- G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/40—Correcting position, velocity or attitude
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C1/00—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
- G07C1/20—Checking timed patrols, e.g. of watchman
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Abstract
The invention relates to the field of inspection and check systems, in particular to a high-efficiency optical cable inspection and check system. The optical cable vibration sensor comprises an optical cable vibration sensor, a multichannel optical switch and a mobile terminal, wherein the optical cable vibration sensor is used for carrying out inspection and fault positioning on an optical cable; the multichannel optical switch is used for realizing parallel detection of the optical cable vibration sensor on the optical cable; the mobile terminal at least comprises a safety verification module, a positioning module and a display module, wherein the positioning module is used for acquiring real-time position coordinate data of the patrol personnel, drawing a motion trail graph of the patrol personnel based on the position coordinate data, and the display module is used for displaying the detection data and the motion trail of the patrol personnel. The optical cable quality information is synchronously acquired in the optical cable inspection process through the optical cable vibration sensor, and a line to be inspected is connected into a system through the multichannel optical switch, so that the optical switch is directly controlled to be switched in the inspection process, the inspection of a plurality of optical cables is realized, and the labor, material resources and time cost are saved.
Description
Technical Field
The invention relates to the field of inspection and check systems, in particular to a high-efficiency optical cable inspection and check system.
Background
At present, the optical cable inspection work mainly adopts a manual inspection mode, and an operation and maintenance person arrives at a specific point and recognizes whether the operation and maintenance person arrives at a specified position for inspection through a person positioning device. The personnel positioning function is to rely on installing extra hardware, or the personnel wears the positioning identification card on one's body, has arrived after a certain position point, need walk to fixed inspection point, just can realize the positioning function, can't accomplish real-time positioning function, and the security is relatively poor. The positioning function is single, the expansion use cannot be performed, the optical cable is limited by huge quantity of optical cables, huge resources are consumed for personnel positioning by installing additional hardware, the position of a patrol point of the optical cable is flexibly changed according to the field condition, and the specific position information and the patrol track of the patrol personnel cannot be accurately checked, so that the efficient optical cable patrol checking system is designed.
Disclosure of Invention
The invention aims to provide an efficient optical cable inspection and check system so as to solve the problems that the dependence and the extension singleness of personnel positioning are raised in the background technology, and the specific inspection track of an inspection personnel cannot be checked accurately.
In order to achieve the above purpose, the invention aims to provide a high-efficiency optical cable inspection and check system, which comprises an optical cable vibration sensor, a multi-channel optical switch and a mobile terminal, wherein the optical cable vibration sensor is used for inspecting and positioning faults of an optical cable;
the multichannel optical switch is used for realizing parallel detection of the optical cable vibration sensor on the optical cable, wherein an input channel of the multichannel optical switch is connected with the optical cable, and an output channel of the multichannel optical switch is connected with an input port of the optical cable vibration sensor;
the mobile terminal at least comprises a safety verification module, a positioning module and a display module, and is used for receiving data detected by the optical cable vibration sensor, wherein the safety verification module is used for identifying and verifying patrol personnel information based on an independent verification and identification system; the positioning module is used for acquiring real-time position coordinate data of the patrol personnel, drawing a motion trail graph of the patrol personnel based on the position coordinate data, and the display module is used for displaying the detection data and the motion trail of the patrol personnel.
As a further improvement of the technical scheme, the optical cable vibration sensor is used for detecting the vibration condition of the optical fiber and measuring the length of the optical cable corresponding to the vibration point, detecting the intensity, vibration frequency and phase information of the vibration signal, and detecting the time difference of receiving the signal by the transmitting signal and the reflecting signal, so as to realize the detection of the distance between the vibration point, and the optical cable vibration sensor is internally integrated with a communication module which is used for providing communication between the optical cable vibration sensor and the positioning module.
As a further improvement of the technical scheme, the mobile terminal further comprises a data storage module, wherein the data storage module is used for storing the received detection data and the received position coordinate data and providing data support for the display module;
the data storage module comprises a central database and a plurality of user databases, wherein the user databases are used for storing personal data of patrol personnel, the user databases are mutually independent, and the user databases and the central database perform data real-time synchronous interaction.
As a further improvement of the technical scheme, the independent verification and identification system at least comprises any one of a password identification module, a face identification module and a fingerprint identification module.
As a further improvement of the technical scheme, the positioning module adopts GPS positioning equipment, and the positioning module iterates and optimizes the position information data based on a position calibration algorithm so as to improve the positioning precision.
As a further improvement of the technical scheme, the specific steps of the position calibration algorithm are as follows:
s1: collecting current position coordinate data and time node data of the patrol personnel through GPS positioning equipment;
s2: extracting position coordinate data and time node data in the data by adopting characteristic engineering to perform data preprocessing;
s2: establishing a position prediction model according to the coordinate information data and the time node data;
s3: and predicting the current position coordinate according to the previous time node data through a position prediction model.
As a further improvement of the technical scheme, the characteristic engineering adopts correlation analysis to preprocess data, and the specific algorithm is as follows:
wherein X represents position coordinate data, Y represents time node data; x is X i And Y i Position coordinate data and time node data, μ representing the ith sample, respectively X Sum mu Y Respectively representing the mean value of the position coordinate data X and the time node data Y; the values of ρ range from-1 to 1,0 representing no phase relation, 1 representing a complete positive correlation, -1 representing a complete negative correlation.
As a further improvement of the technical scheme, the specific algorithm of the position prediction model is as follows:
y current ＝θ 0 +θ 1 ·x prev ；
wherein x is prev Coordinate data representing a previous time node; y is current Representing the wantPredicted current position coordinates; θ 0 An intercept term representing the model, representing the coordinates x of the node at the last time prev Zero, the current position coordinate y current Is a desired value of (2); θ 1 Coefficients representing the model, coordinates x of the last time node prev For the current position coordinate y current Is a function of (1);
further, the MSE loss function may be expressed as:
where N represents the number of samples of the history data, (θ) 0 +θ 1 ·x prev I) data representing the ith sample, and obtaining θ by a gradient descent optimization algorithm 0 And theta 1 Parameters of (2); the position coordinate of the current time node can be predicted to be y current 。
As a further improvement of the technical scheme, the gradient descent optimization algorithm specifically comprises:
wherein, (X batch ，Y batch ) Representing a number of randomly selected training samples, and α=0.01, α representing a learning rate for controlling the magnitude of parameter updates in each iteration; θ represents a parameter vector of the model, where J (θ, X batch ，Y batch ) The loss function is represented by a function of the loss,representing the derivative of the loss function with respect to the parameter.
As a further improvement of the technical scheme, the positioning module further comprises a track drawing module, wherein the track drawing module is used for connecting the acquired position coordinate information into a track line and drawing a motion track curve graph according to time information, and the track drawing module is used for guiding the motion track curve graph into the display module for display.
Compared with the prior art, the invention has the beneficial effects that:
1. in this efficient optical cable inspection system, through the optical cable vibration sensor, in the optical cable inspection in-process, the optical cable quality information has been gathered in step to in the circuit access system that will need to inspect through multichannel optical switch, in the inspection in-process, the direct control optical switch switches, realizes the inspection to many optical cables, has saved manpower, material resources and time cost.
2. In the efficient optical cable inspection and check system, when the GPS positioning equipment signal is poor, the real-time position coordinate data of the inspection personnel can be predicted and updated in real time based on the prediction and positioning of the position calibration algorithm, and the drawing precision of the motion trail curve graph of the inspection personnel can be improved.
Drawings
FIG. 1 is an overall flow diagram of the present invention;
fig. 2 is a block diagram of a mobile terminal module according to the present invention.
The meaning of each reference sign in the figure is:
1. a mobile terminal; 2. an optical cable vibration sensor; 3. a multichannel optical switch; 11. a positioning module; 12. a security verification module; 13. a data storage module; 14. and a display module.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-2, an efficient optical cable inspection system is provided, which includes an optical cable vibration sensor 2, a multi-channel optical switch 3 and a mobile terminal 1, wherein the optical cable vibration sensor 2 is used for inspecting and fault locating an optical cable;
the multichannel optical switch 3 is used for realizing parallel detection of the optical cable vibration sensor 2 on the optical cable, wherein an input channel of the multichannel optical switch 3 is connected with the optical cable, an output channel of the multichannel optical switch 3 is connected with an input port of the optical cable vibration sensor 2, the multichannel optical switch 3 is an external 1XN multichannel optical switch 3, a plurality of optical cables can be simultaneously connected to the optical switch, the multichannel optical switch 3 is matched with the optical cable vibration sensor 2 for use, the switching detection of a plurality of optical cables is realized, the manpower resources occupied by the inspection work are saved, and meanwhile, the time consumed by the inspection work is shortened;
the mobile terminal 1 at least comprises a safety verification module 12, a positioning module 11 and a display module 14, wherein the mobile terminal 1 is used for receiving data detected by the optical cable vibration sensor 2, and the safety verification module 12 is used for carrying out identification verification on patrol personnel information based on an independent verification and identification system; the positioning module 11 is used for acquiring real-time position coordinate data of the inspector, drawing a motion trail graph of the inspector based on the position coordinate data, and the display module 14 is used for displaying the detection data and the motion trail of the inspector, and the mobile terminal 1 is a mobile phone or a flat intelligent terminal.
The mobile terminal 1 further comprises a data storage module 13, wherein the data storage module 13 is used for storing the received detection data and the received position coordinate data and providing data support for the display module 14;
the data storage module 13 includes a central database and a plurality of user databases, the user databases are used for storing personal data of patrol personnel, the user databases are mutually independent, and the user databases and the central database perform real-time synchronous interaction of data, and the message queue is used as an intermediary to ensure real-time synchronization of data information, specifically as follows: when the patrol personnel changes the data in the user database, the patrol personnel issues a synchronous event to a message queue; meanwhile, the central database receives and processes data change through subscribing events on the message queue, so that real-time synchronization of the user database and the data information in the central database is realized; further, each inspector has an independent user database, and the personal data of the inspector (wherein the personal data comprises position coordinate data and identity information) is synchronized from the user database of the individual to the central database so as to be provided for all inspectors to call, and the detection data is directly stored in the central database.
Further, each inspection personnel has an independent verification and identification system, the independent verification and identification system at least comprises any one of a password identification module, a face identification module and a fingerprint identification module, when the inspection personnel logs in the mobile terminal 1 and passes verification and identification, the positioning module 11 automatically acquires current position coordinate data, when the inspection personnel moves, the positioning module 11 continuously uploads and acquires the position information of the personnel, and after the positioning module 11 has a plurality of position coordinate data, a trend line graph is automatically drawn, so that the trend graph of the inspection personnel is conveniently checked.
The optical cable vibration sensor 2 is used for detecting the vibration condition of an optical fiber and measuring the length of the optical cable corresponding to a vibration point, the optical cable vibration sensor 2 is based on a distributed optical fiber sensing technology, because of the backward Rayleigh scattering effect in the optical fiber, when the optical fiber slightly vibrates, the physical quantity such as the intensity, the phase and the like of backward Rayleigh scattering light can be changed, the intensity, the vibration frequency and the phase information of a vibration signal can be detected through modes such as M-Z interference detection and the like, the reduction of the vibration signal is realized, the detection signal adopts a pulse signal, the detection of the distance of the vibration point is realized through the time difference between a transmitting signal and a reflecting signal, and specifically, the calculation formula of the distance of the vibration point is as follows:
D＝(t*v)/2；
wherein D is the distance between the vibration point and the sensor; t is the arrival time of the reflected signal; v is the propagation speed of light in the cable;
meanwhile, a communication module is integrally installed in the optical cable vibration sensor 2, the communication module is any one of a WIFI, a 4G/5G wireless network and a wired network, the communication module is used for providing communication between the optical cable vibration sensor 2 and the positioning module 11, the optical cable vibration sensor 2 is communicated with the positioning module 11 during detection and records the current detection position coordinates, the positioning module 11 displays the detection position coordinates through the display module 14, meanwhile, the optical cable vibration sensor 2 can identify potential problem signs such as abnormal increase of vibration intensity or change of frequency through analyzing vibration data, early warning of faults can be achieved, maintenance time and cost can be reduced, and meanwhile real-time communication between the optical cable vibration sensor and the positioning module 11 is facilitated, so that the position of the optical cable faults or problems can be accurately positioned through the vibration sensor.
The positioning module 11 adopts GPS positioning equipment, and the positioning module 11 iterates and optimizes the position information data based on a position calibration algorithm so as to improve the positioning precision. The position calibration algorithm is used for predicting and positioning the current position coordinates of the patrol personnel and combining with the GPS positioning equipment to realize positioning calibration, and meanwhile, when the GPS positioning equipment is poor in signal, the position calibration algorithm-based prediction positioning can lead to the loss of the patrol track coordinate data of the patrol personnel due to the loss of positioning data, so that the prediction auxiliary positioning is realized for the patrol personnel, the real-time position coordinate data of the patrol personnel is predicted and updated in real time, and the drawing precision of a motion track graph of the patrol personnel can be improved;
further, the positioning module 11 further includes a track drawing module, which is configured to connect the acquired position coordinate information into a track line, draw a motion track graph according to the time information, and import the motion track graph to the display module 14 for display.
Still further, the specific steps of the position calibration algorithm are as follows:
s1: collecting current position coordinate data and time node data of the patrol personnel through GPS positioning equipment;
s2: the position coordinate data and the time node data in the feature engineering extraction data are adopted for data preprocessing, so that redundant information is reduced, the complexity of the model is reduced, and the performance of the model is improved;
specifically, the feature engineering adopts correlation analysis to preprocess data, and the specific algorithm is as follows:
wherein X represents a position coordinateData, Y represents time node data; x is X i And Y i Position coordinate data and time node data, μ representing the ith sample, respectively X Sum mu Y Respectively representing the mean value of the position coordinate data X and the time node data Y; the values of ρ range from-1 to 1,0 representing no phase relation, 1 representing a complete positive correlation, -1 representing a complete negative correlation.
S3: establishing a position prediction model according to the coordinate information data and the time node data;
the specific algorithm of the position prediction model is as follows:
y current ＝θ 0 +θ 1 ·x prev ；
wherein x is prev Coordinate data representing a previous time node; y is cyrrent Representing current position coordinates to be predicted; θ 0 An intercept term representing the model, representing the coordinates x of the node at the last time prev Zero, the current position coordinate y current Is a desired value of (2); θ 1 Coefficients representing the model, coordinates x of the last time node prev For the current position coordinate y current Is a function of (1);
further, the MSE loss function may be expressed as:
where N represents the number of samples of the history data, (θ) 0 +θ 1 ·x prev I) data representing the ith sample, and obtaining θ by a gradient descent optimization algorithm 0 And theta 1 Parameters of (2); the position coordinate of the current time node can be predicted to be y current 。
The gradient descent optimization algorithm specifically comprises the following steps:
wherein, (X batch ，Y batch ) Representation ofA plurality of training samples selected randomly, wherein alpha=0.01, and alpha represents a learning rate and is used for controlling the amplitude of parameter updating in each iteration; θ represents a parameter vector of the model, where J (θ, X batch ，Y batch ) The loss function is represented by a function of the loss,representing the derivative of the loss function with respect to the parameter. The parameters are updated using the gradient of a small batch of training samples in each iteration using a gradient descent algorithm, the goal of the gradient descent being to continually iterate through the updated parameters until a minimum or near minimum of the loss function is reached. Can be used to identify noise or uncorrelated features, helping to reduce the dimensionality of the features while preserving features that are most correlated with the target variable, thereby improving the efficiency of modeling.
S4: and predicting the current position coordinate through a position prediction model according to the previous time node data and a position calibration algorithm.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the above-described embodiments, and that the above-described embodiments and descriptions are only preferred embodiments of the present invention, and are not intended to limit the invention, and that various changes and modifications may be made therein without departing from the spirit and scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (10)
1. An efficient optical cable inspection and verification system is characterized in that: the optical cable vibration sensor comprises an optical cable vibration sensor (2), a multichannel optical switch (3) and a mobile terminal (1), wherein the optical cable vibration sensor (2) is used for carrying out inspection and fault positioning on an optical cable;
the multichannel optical switch (3) is used for realizing parallel detection of the optical cable vibration sensor (2) on the optical cable;
the mobile terminal (1) at least comprises a safety verification module (12), a positioning module (11) and a display module (14), wherein the mobile terminal (1) is used for receiving data detected by the optical cable vibration sensor (2), and the safety verification module (12) is used for carrying out identification verification on patrol personnel information based on an independent identification system; the positioning module (11) is used for acquiring real-time position coordinate data of the patrol personnel and drawing a motion trail graph of the patrol personnel based on the position coordinate data, and the display module (14) is used for displaying the detection data and the motion trail of the patrol personnel.
2. The efficient fiber optic cable inspection system of claim 1, wherein: the optical cable vibration sensor (2) is used for detecting the vibration condition of the optical fiber and measuring the length of the optical cable corresponding to the vibration point, a communication module is integrally arranged in the optical cable vibration sensor (2), and the communication module is used for providing communication between the optical cable vibration sensor (2) and the positioning module (11).
3. The efficient fiber optic cable inspection system of claim 1, wherein: the mobile terminal (1) further comprises a data storage module (13), wherein the data storage module (13) is used for storing the received detection data and the received position coordinate data;
the data storage module (13) comprises a central database and a plurality of user databases, wherein the user databases are used for storing personal data of patrol personnel, the user databases are mutually independent, and the user databases and the central database perform data real-time synchronous interaction.
4. The efficient fiber optic cable inspection system of claim 1, wherein: the independent verification and identification system at least comprises any one of a password identification module, a face identification module and a fingerprint identification module.
5. The efficient fiber optic cable inspection system of claim 1, wherein: the positioning module (11) adopts GPS positioning equipment, and the positioning module (11) iterates and optimizes the position information data based on a position calibration algorithm so as to improve the positioning precision.
6. The efficient fiber optic cable inspection system of claim 1, wherein: the specific steps of the position calibration algorithm are as follows:
s1: collecting current position coordinate data and time node data of the patrol personnel through GPS positioning equipment;
s2: extracting position coordinate data and time node data in the data by adopting characteristic engineering to perform data preprocessing;
s2: establishing a position prediction model according to the coordinate information data and the time node data;
s3: and predicting the current position coordinate according to the previous time node data through a position prediction model.
7. The efficient fiber optic cable inspection system of claim 6, wherein: the characteristic engineering adopts correlation analysis to preprocess data, and the specific algorithm is as follows:
wherein X represents position coordinate data, Y represents time node data; x is X i And Y i Position coordinate data and time node data, μ representing the ith sample, respectively X Sum mu Y Respectively representing the mean value of the position coordinate data X and the time node data Y; the values of ρ range from-1 to 1,0 representing no phase relation, 1 representing a complete positive correlation, -1 representing a complete negative correlation.
8. The efficient fiber optic cable inspection system of claim 6, wherein: the specific algorithm of the position prediction model is as follows:
y current ＝θ 0 +θ 1 ·x prev ；
wherein x is prev Coordinate data representing a previous time node; y is current Representing current position coordinates to be predicted; θ 0 An intercept term representing the model, representing the coordinates x of the node at the last time prev Zero, the current position coordinate y current Is a desired value of (2); θ 1 Coefficients representing the model, coordinates x of the last time node prev For the current position coordinate y current Is a function of (1);
further, the MSE loss function may be expressed as:
where N represents the number of samples of the history data, (θ) 0 +θ 1 ·x prev I) data representing the ith sample, and obtaining θ by a gradient descent optimization algorithm 0 And theta 1 The position coordinate of the current time node can be predicted to be y current 。
9. The efficient fiber optic cable inspection system of claim 8, wherein: the gradient descent optimization algorithm specifically comprises the following steps:
wherein, (X batch ，Y batch ) Representing a number of randomly selected training samples, and α=0.01, α representing a learning rate for controlling the magnitude of parameter updates in each iteration; θ represents a parameter vector of the model, where J (θ, X batch ，Y batch ) The loss function is represented by a function of the loss,representing the derivative of the loss function with respect to the parameter.
10. The efficient fiber optic cable inspection system of claim 1, wherein: the positioning module (11) further comprises a track drawing module, the track drawing module is used for connecting the acquired position coordinate information into a track line and drawing a motion track graph according to the time information, and the track drawing module guides the motion track graph into the display module (14) for display.
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Citations (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN200973128Y (en) * | 2006-11-10 | 2007-11-07 | 中国煤炭地质总局航测遥感局 | Field equipment circulating checkout system |
| TW200814566A (en) * | 2006-09-08 | 2008-03-16 | Inventec Multimedia & Telecom | Optical fiber monitoring system and method incorporated with failure automatic protection mechanism |
| CN203691405U (en) * | 2014-01-06 | 2014-07-02 | 苏州恒知传感科技有限公司 | Fiber fault monitoring system |
| CN106788691A (en) * | 2016-12-30 | 2017-05-31 | 江苏骏龙光电科技股份有限公司 | A kind of measurement apparatus for monitoring multichannel optical fiber |
| CN108769184A (en) * | 2018-05-25 | 2018-11-06 | 浙江知水信息技术有限公司 | A kind of method for early warning of automatic judgement patrolman life safety |
| CN109167633A (en) * | 2018-08-14 | 2019-01-08 | 中国电子科技集团公司第三十八研究所 | Optical-fiber laser sensing network multi-channel parallel demodulating system based on FPGA |
| CN109344218A (en) * | 2018-10-15 | 2019-02-15 | 中国电信股份有限公司广东传送网络运营中心 | Lightguide cable link method for inspecting and its system |
| CN110460373A (en) * | 2019-06-24 | 2019-11-15 | 中国南方电网有限责任公司超高压输电公司广州局 | A kind of electric power optical cable failure fast positioning method and system |
| CN110570392A (en) * | 2019-07-26 | 2019-12-13 | 深圳供电局有限公司 | method, device, system, equipment and medium for detecting on-off state of substation equipment |
| CN210246755U (en) * | 2019-08-28 | 2020-04-03 | 河北纤感科技有限公司 | Multi-channel vibration detection communication optical cable protection system based on optical switch |
| CN112487545A (en) * | 2021-01-05 | 2021-03-12 | 深圳市中勘勘测设计有限公司 | Slope safety real-time monitoring and early warning system based on big data axial force monitoring |
| CN112491468A (en) * | 2020-11-20 | 2021-03-12 | 福州大学 | FBG sensing network node fault positioning method based on twin node auxiliary sensing |
| US20210140794A1 (en) * | 2019-11-08 | 2021-05-13 | Guangdong Coros Sports Technology Co., Ltd. | Distance measuring method based on moving coordinate positioning and portable terminal device |
| CN113203419A (en) * | 2021-04-25 | 2021-08-03 | 重庆大学 | Indoor inspection robot correction positioning method based on neural network |
| CN113532808A (en) * | 2021-07-06 | 2021-10-22 | 南京法艾博光电科技有限公司 | Multi-channel monitoring method and system based on vibration sensitive optical fiber sensing technology |
| CN115566804A (en) * | 2022-10-24 | 2023-01-03 | 江苏东港能源投资有限公司 | Electric power monitoring system based on distributed optical fiber sensing technology |
| CN115915000A (en) * | 2022-11-14 | 2023-04-04 | 苏州赫里奥网络技术有限公司 | Positioning method and system based on environmental information |
| CN116488721A (en) * | 2023-05-08 | 2023-07-25 | 福州大学 | Intelligent positioning method for optical cable line faults |
-
2023
- 2023-10-31 CN CN202311435300.8A patent/CN117498931B/en active Active
Patent Citations (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TW200814566A (en) * | 2006-09-08 | 2008-03-16 | Inventec Multimedia & Telecom | Optical fiber monitoring system and method incorporated with failure automatic protection mechanism |
| CN200973128Y (en) * | 2006-11-10 | 2007-11-07 | 中国煤炭地质总局航测遥感局 | Field equipment circulating checkout system |
| CN203691405U (en) * | 2014-01-06 | 2014-07-02 | 苏州恒知传感科技有限公司 | Fiber fault monitoring system |
| CN106788691A (en) * | 2016-12-30 | 2017-05-31 | 江苏骏龙光电科技股份有限公司 | A kind of measurement apparatus for monitoring multichannel optical fiber |
| CN108769184A (en) * | 2018-05-25 | 2018-11-06 | 浙江知水信息技术有限公司 | A kind of method for early warning of automatic judgement patrolman life safety |
| CN109167633A (en) * | 2018-08-14 | 2019-01-08 | 中国电子科技集团公司第三十八研究所 | Optical-fiber laser sensing network multi-channel parallel demodulating system based on FPGA |
| CN109344218A (en) * | 2018-10-15 | 2019-02-15 | 中国电信股份有限公司广东传送网络运营中心 | Lightguide cable link method for inspecting and its system |
| CN110460373A (en) * | 2019-06-24 | 2019-11-15 | 中国南方电网有限责任公司超高压输电公司广州局 | A kind of electric power optical cable failure fast positioning method and system |
| CN110570392A (en) * | 2019-07-26 | 2019-12-13 | 深圳供电局有限公司 | method, device, system, equipment and medium for detecting on-off state of substation equipment |
| CN210246755U (en) * | 2019-08-28 | 2020-04-03 | 河北纤感科技有限公司 | Multi-channel vibration detection communication optical cable protection system based on optical switch |
| US20210140794A1 (en) * | 2019-11-08 | 2021-05-13 | Guangdong Coros Sports Technology Co., Ltd. | Distance measuring method based on moving coordinate positioning and portable terminal device |
| CN112491468A (en) * | 2020-11-20 | 2021-03-12 | 福州大学 | FBG sensing network node fault positioning method based on twin node auxiliary sensing |
| CN112487545A (en) * | 2021-01-05 | 2021-03-12 | 深圳市中勘勘测设计有限公司 | Slope safety real-time monitoring and early warning system based on big data axial force monitoring |
| CN113203419A (en) * | 2021-04-25 | 2021-08-03 | 重庆大学 | Indoor inspection robot correction positioning method based on neural network |
| CN113532808A (en) * | 2021-07-06 | 2021-10-22 | 南京法艾博光电科技有限公司 | Multi-channel monitoring method and system based on vibration sensitive optical fiber sensing technology |
| CN115566804A (en) * | 2022-10-24 | 2023-01-03 | 江苏东港能源投资有限公司 | Electric power monitoring system based on distributed optical fiber sensing technology |
| CN115915000A (en) * | 2022-11-14 | 2023-04-04 | 苏州赫里奥网络技术有限公司 | Positioning method and system based on environmental information |
| CN116488721A (en) * | 2023-05-08 | 2023-07-25 | 福州大学 | Intelligent positioning method for optical cable line faults |
Non-Patent Citations (1)
| Title |
|---|
| 钟震;: "地下管线安全解决方案――光缆振动监测预警系统", 城市燃气, no. 10, 15 October 2010 (2010-10-15) * |
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