CN109510663B - System and method for monitoring optical cable and analyzing big data based on intelligent optical fiber distribution - Google Patents
System and method for monitoring optical cable and analyzing big data based on intelligent optical fiber distribution Download PDFInfo
- Publication number
- CN109510663B CN109510663B CN201811542386.3A CN201811542386A CN109510663B CN 109510663 B CN109510663 B CN 109510663B CN 201811542386 A CN201811542386 A CN 201811542386A CN 109510663 B CN109510663 B CN 109510663B
- Authority
- CN
- China
- Prior art keywords
- data
- optical
- optical cable
- unit
- detection
- 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
- 230000003287 optical effect Effects 0.000 title claims abstract description 470
- 238000012544 monitoring process Methods 0.000 title claims abstract description 82
- 239000013307 optical fiber Substances 0.000 title claims abstract description 78
- 238000009826 distribution Methods 0.000 title claims abstract description 51
- 238000000034 method Methods 0.000 title claims abstract description 46
- 238000007405 data analysis Methods 0.000 claims abstract description 21
- 238000001514 detection method Methods 0.000 claims description 186
- 238000004458 analytical method Methods 0.000 claims description 60
- 230000008878 coupling Effects 0.000 claims description 49
- 238000010168 coupling process Methods 0.000 claims description 49
- 238000005859 coupling reaction Methods 0.000 claims description 49
- 238000004891 communication Methods 0.000 claims description 33
- 238000012806 monitoring device Methods 0.000 claims description 30
- 239000000835 fiber Substances 0.000 claims description 29
- 230000008569 process Effects 0.000 claims description 24
- 230000008859 change Effects 0.000 claims description 17
- 238000007418 data mining Methods 0.000 claims description 7
- 238000003860 storage Methods 0.000 claims description 7
- 238000003032 molecular docking Methods 0.000 claims description 2
- 238000012423 maintenance Methods 0.000 abstract description 16
- 238000010276 construction Methods 0.000 abstract description 4
- 230000002093 peripheral effect Effects 0.000 abstract description 3
- 238000010586 diagram Methods 0.000 description 13
- 238000012545 processing Methods 0.000 description 10
- 230000009897 systematic effect Effects 0.000 description 5
- 230000003449 preventive effect Effects 0.000 description 4
- 229920006395 saturated elastomer Polymers 0.000 description 4
- 238000012360 testing method Methods 0.000 description 4
- 238000013500 data storage Methods 0.000 description 3
- 238000005259 measurement Methods 0.000 description 3
- 238000005065 mining Methods 0.000 description 3
- 238000013075 data extraction Methods 0.000 description 2
- 230000001788 irregular Effects 0.000 description 2
- 238000000253 optical time-domain reflectometry Methods 0.000 description 2
- 238000002360 preparation method Methods 0.000 description 2
- 230000032683 aging Effects 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 238000005336 cracking Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000006731 degradation reaction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000000737 periodic effect Effects 0.000 description 1
- 230000008054 signal transmission Effects 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
- 238000003466 welding Methods 0.000 description 1
Images
Classifications
-
- 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
- H04B10/0793—Network aspects, e.g. central monitoring of transmission parameters
-
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/04—Network management architectures or arrangements
- H04L41/042—Network management architectures or arrangements comprising distributed management centres cooperatively managing the network
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/04—Network management architectures or arrangements
- H04L41/044—Network management architectures or arrangements comprising hierarchical management structures
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
Abstract
The embodiment of the application provides a system and a method for monitoring an optical cable and analyzing big data based on an intelligent optical distribution frame. The optical cable monitoring data are obtained in real time, truly and in multiple dimensions, the coverage range is large, and big data analysis is effectively carried out. Effective decision auxiliary information is provided for planning, construction, use and maintenance of the optical fiber distribution network and peripheral partners, and the increasing use requirements of optical cables are met.
Description
Technical Field
The embodiment of the invention relates to the technical field of optical fibers, in particular to a system and a method for monitoring and analyzing optical fibers.
Background
This section is intended to provide a background or context to the embodiments of the invention that are recited in the claims. The description herein is not admitted to be prior art by inclusion in this section.
With the development of modern communication technology, optical fiber cables are largely used for communication signal transmission. Accompanying large-scale deployment of fiber optic cable networks is an increase in the difficulty of maintaining the network. Because the optical cable is used as a physical medium, the optical cable has the service life problem of performance cracking, and the optical cable is easily damaged, broken down and the like under the influence of external environment, use mode and the like.
There are four common ways of detecting optical cables in the prior art:
a standby fiber polling monitoring mode: the access of the spare fiber does not affect the service line, but occupies one core of spare fiber, and is suitable for the scene with more sufficient fiber resources.
A standby fiber alarm driving monitoring mode: similarly, the access of the spare fiber does not affect the service line, but occupies one spare fiber, and is suitable for a scene with more sufficient fiber resources. The remote LSU light source continuously emits light, the local OPD light power detection board monitors the light signal of the remote LSU light source in real time, when the light signal intensity is lower than the OPD alarm threshold, an alarm is reported, and the system automatically starts the detection of the corresponding optical fiber line.
An online polling monitoring mode: the detection device is externally arranged, the detection direction is fixed, the monitoring can be carried out on the original service optical fiber, and the state of the fiber core in use can be directly shown. The OTDR polls the test fiber line.
An online alarm driving monitoring mode is as follows: the service signal and the monitoring signal use one optical fiber, and do not occupy the light resource of the user. The local side OPD optical power monitoring board card monitors the optical signal of the far-end service equipment in real time, when the optical signal intensity is lower than the OPD alarm threshold, an alarm is reported, and the system is automatically started to monitor the corresponding optical fiber line. The OTDR polls the test fiber line, periodically monitoring the fiber performance.
The existing detection mode and system have the following defects: problems are often found and then are processed, real-time and accurate prediction of optical cable performance change and faults cannot be achieved, meanwhile, manual recording and manual input are adopted in data extraction, storage and processing analysis of the optical cable, so that data extraction dimensionality is limited, real-time performance and authenticity of data cannot be guaranteed, data coverage range is small, effective analysis cannot be conducted easily, and accurate and effective decision auxiliary information cannot be provided for planning, construction, use and maintenance of an optical fiber distribution network and peripheral partners, and the problems cannot meet the increasing optical cable use requirements, and effective systems and methods are urgently needed to monitor and analyze large data of the optical cable.
Disclosure of Invention
Therefore, the system and the method for monitoring the optical cable and analyzing the big data based on the intelligent optical fiber distribution frame can accurately report optical cable test data in real time, analyze the optical cable performance in time and present an analysis report, improve the accuracy and efficiency of operation and maintenance of the optical cable, and provide a basis for planning, construction, use and maintenance of an optical fiber distribution network.
The application provides a pair of system based on intelligent fiber optic distribution frame carries out optical cable monitoring and big data analysis includes: the system comprises a cloud server, a distributed primary area server, a distributed secondary area server, a device for monitoring the optical cable based on an intelligent optical distribution frame and a control terminal; the distributed secondary area server is connected with the device for monitoring the optical cable based on the intelligent optical distribution frame in the docking area, and the optical cable data obtained from the device is stored and analyzed; the distributed primary area server is connected with the distributed secondary area server in the area, receives the data in the distributed secondary area server, and stores and analyzes the data; the cloud server is connected with a distributed primary area server in the area, receives data in the distributed primary area server and obtains an analysis report; the control terminal is used for configuring the cloud server, the distributed primary area server, the distributed secondary area server and a device for monitoring the optical cable based on the intelligent optical distribution frame, and receiving and displaying the analysis report.
Preferably, the cloud server includes a main cloud server and a standby cloud server.
Preferably, the apparatus for monitoring optical cables based on the intelligent optical distribution frame includes: the optical equipment comprises an optical equipment interface unit, an optical cable interface unit, a data acquisition and control unit, an optical coupling unit, an optical path selection unit, an optical cable detection unit and a data processing and display unit; the optical equipment interface unit is used for connecting the device with external equipment or an external optical cable; the optical cable interface unit is used for connecting the device with an external optical cable; the data acquisition and control unit is used for controlling the optical coupling unit, the optical path selection unit and the optical cable detection unit; the optical coupling unit is used for switching the wavelength coupling mode of the detection signal; the optical path selection unit is used for controlling an optical cable detection signal to enter a selected optical fiber; the optical cable detection unit is used for detecting the selected optical cable and feeding back detection data to the data acquisition and control unit; and the communication unit is used for communication with the control terminal.
Preferably, the device for monitoring the optical cable based on the intelligent optical fiber distribution frame comprises a geographic information unit, and optical fiber data positioning is performed through an integrated electronic map and a landmark.
Preferably, the device for monitoring the optical cable based on the intelligent optical distribution frame comprises a blind area evasion unit, and the blind area evasion unit is used for evading a detection blind area generated by the optical cable detection unit during detection according to the control of the data acquisition and control unit.
Preferably, the blind area avoiding unit is an adjustable or fixed attenuator or an optical fiber.
Preferably, after the device for monitoring the optical cable based on the intelligent optical fiber distribution frame is initialized, the data acquisition and control unit controls the optical cable detection unit to emit the non-service wavelength and controls the optical path selection unit to perform the timed polling detection on the optical fibers in all the optical cables.
Preferably, after the device detects an optical fiber fault, the data acquisition and control unit controls the optical cable detection unit to switch the detection optical signal to the service wavelength for detection, and controls the optical coupling unit to switch the corresponding wavelength.
Preferably, the optical coupling unit is composed of an array of N three-port optical path adjustable incidence detection wavelength couplers, where N is the number of optical cable cores, and the three ports are respectively connected to the optical equipment interface unit, the optical cable interface unit, and the optical path selection unit.
Preferably, the method for switching the coupling of the detection wavelengths by the optical coupling means includes selecting a grating control wavelength, selecting a changed filter control wavelength, and selecting a filter form control wavelength.
Preferably, the service wavelength range for detection is 1300nm-1320nm and 1535nm-1565nm, and the non-service wavelength range for detection is 1480 nm-1520 nm and 1615nm-1633 nm.
Preferably, the optical path selection unit is a 1-minute-N optical switch.
Preferably, the receiving, by the distributed secondary area server, data of the optical cable monitoring device based on the intelligent optical distribution frame in the area includes that the device uploads the received optical cable data to the distributed secondary area server at regular time; the distributed secondary area server retrieves cable data from the device.
Preferably, the step of receiving the data in the distributed secondary area server by the distributed primary area server includes that the distributed secondary area server analyzes and processes the received optical cable data and uploads the optical cable data to the distributed primary area server; and the distributed primary area server calls data from the distributed secondary area server.
Preferably, the receiving, by the cloud server, the data in the distributed primary area server includes that the distributed primary area server analyzes and processes the received optical cable data and uploads the optical cable data to the cloud server; and the cloud server calls data from the distributed primary area server.
The application provides a method for monitoring an optical cable and analyzing big data based on an intelligent optical fiber distribution frame, which comprises the following steps: the control terminal configures a cloud server, a distributed primary area server, a distributed secondary area server and a device for monitoring the optical cable based on an intelligent optical distribution frame; the device monitors the optical cable in real time, and receives and stores optical cable data; the distributed secondary area server receives the monitoring optical cable data of the device, and stores and analyzes the monitoring optical cable data; the distributed primary area server receives the data in the distributed secondary area server, and stores and analyzes the data; the cloud server receives data in the distributed primary server to obtain an analysis report; and the control terminal receives and displays the analysis report.
Preferably, the configuration of the cloud server, the distributed primary area server and the distributed secondary area server by the control terminal comprises the steps of storing hardware data, including deployment data, entry data and routing data, setting a combination mode of the data, a selection position of the data, selection time of the data and a selection type of the data; the control terminal configures the device for monitoring the optical cable based on the intelligent optical distribution frame, including but not limited to setting a detection time interval and detecting a pulse width.
Preferably, the device monitors the optical cable in real time, and the acquiring and storing of the optical cable data includes connecting with an external device or an external optical cable through an optical device interface unit; external optical cable connection is realized through the optical cable interface unit; the data acquisition and control unit controls the optical coupling unit, the optical path selection unit and the optical cable detection unit; switching the wavelength coupling mode of the detection signal through the optical coupling unit; controlling an optical cable detection signal to enter a selected optical fiber through the optical path selection unit; detecting the selected optical cable through the optical cable detection unit, and feeding back detection data to the data acquisition and control unit for storage; the configuration of the control terminal is accepted through the communication unit.
Preferably, the device performs optical fiber data positioning through an electronic map and a landmark integrated by a geographic information unit.
Preferably, the device avoids a detection blind area generated by the optical cable detection unit during detection through a blind area avoiding unit.
Preferably, after the device is initialized, the data acquisition and control unit controls the optical cable detection unit to emit the non-service wavelength and controls the optical path selection unit to perform the timed polling detection on the optical fibers in all the optical cables.
Preferably, after the device detects an optical fiber fault, the data acquisition and control unit controls the optical cable detection unit to switch the detection optical signal into a service wavelength for detection, and controls the optical coupling unit to switch the corresponding wavelength.
Preferably, the method for switching the coupling of the detection wavelengths by the optical coupling means includes selecting a grating control wavelength, selecting a changed filter control wavelength, and selecting a filter form control wavelength.
Preferably, the service wavelength range for detection is 1300nm-1320nm and 1535nm-1565nm, and the non-service wavelength range for detection is 1480 nm-1520 nm and 1615nm-1633 nm.
Preferably, the distributed secondary area server receives the monitoring optical cable data of the device, and stores and analyzes the monitoring optical cable data, wherein the device uploads the acquired optical cable data to the distributed secondary area server through the communication unit at regular time; the distributed secondary area server calls optical cable data from the device; the distributed secondary area server analyzes the received monitoring optical cable based on the conditions of time, place, temperature, optical fiber performance change, optical fiber manufacturer, batch, special event, failure reason and the like.
Preferably, the distributed primary area server receives the data in the distributed secondary area server, and the storing and analyzing includes that the distributed secondary area server analyzes and processes the received optical cable data and uploads the optical cable data to the distributed primary area server; the distributed primary area server calls data from the distributed secondary area server; and storing the received analysis data of the distributed secondary area server, and performing data mining analysis according to a preset strategy, wherein the strategy comprises a data combination mode, a data selection position, data selection time and a data selection type.
Preferably, the cloud server receives the data in the distributed primary server, and the analysis report is obtained, wherein the distributed primary regional server uploads the analyzed data to the cloud server; the cloud server calls data from the distributed primary area server; and storing the received analysis data of the distributed primary area server, and performing data mining analysis according to a preset strategy, wherein the strategy comprises a data combination mode, a data selection position, data selection time and a data selection type.
The technical scheme provided by the application can obtain the optical cable monitoring data in real time, truly and in multiple dimensions, has a large coverage area, and can effectively analyze the big data. Effective decision auxiliary information is provided for planning, construction, use and maintenance of the optical fiber distribution network and peripheral partners, and the increasing use requirements of optical cables are met.
Drawings
The above and other objects, features and advantages of exemplary embodiments of the present invention will become readily apparent from the following detailed description read in conjunction with the accompanying drawings. Several embodiments of the invention are illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings and in which:
FIG. 1 is a schematic diagram of an embodiment of a system for cable monitoring and big data analysis based on intelligent fiber distribution;
FIG. 2 is a block diagram of another embodiment of a system for cable monitoring and big data analysis based on intelligent fiber distribution;
FIG. 3 is a block diagram of one embodiment of an intelligent fiber distribution frame based cable monitoring apparatus;
fig. 4 is a block diagram of another embodiment of an intelligent fiber distribution frame based cable monitoring apparatus;
fig. 5 is a block diagram of another embodiment of an intelligent fiber distribution frame based cable monitoring apparatus;
FIG. 6 is a schematic diagram of a light coupling unit;
FIG. 7 is a schematic structural diagram of a light path selecting unit;
FIG. 8 is one embodiment of a cable monitoring process flow;
FIG. 9 illustrates one embodiment of a cable monitoring and big data analysis process;
FIG. 10 is a data analysis curve for distributed secondary area server A in one embodiment;
FIG. 11 is a data analysis curve for distributed secondary zone server B in one embodiment;
FIG. 12 is a data analysis graph of the distributed primary zone server 1 in one embodiment;
FIG. 13 is a data analysis curve for distributed secondary zone server C in one embodiment;
FIG. 14 is a data analysis curve for distributed secondary zone server D in one embodiment;
FIG. 15 is a data analysis curve for the distributed primary zone server 2 in one embodiment;
fig. 16 is a data analysis curve of the cloud server in one embodiment.
Detailed Description
FIG. 1 is a block diagram of one embodiment of a system for cable monitoring and big data analysis based on intelligent fiber distribution. The system comprises: a plurality of devices for monitoring optical cables based on the intelligent optical fiber distribution frame (the parts below the specification and the attached drawings are short for the devices for monitoring the optical cables based on the intelligent optical fiber distribution frame) monitor the optical cables in real time, and acquire and store optical cable data. The distributed secondary area servers A-D respectively receive, store and process basic data provided by the managed intelligent optical cable monitoring devices, and the acquired data comprises deployment data, input data, detection data and the like; the distributed primary regional servers 1 and 2 respectively receive, store and process data of the distributed secondary regional servers, and store and further process summarized regional data provided by two distributed secondary regional servers in the region (in practice, the number of the distributed secondary regional servers is N, and is determined according to the actual deployment number). The cloud server receives, stores and processes data from the two distributed primary servers, so that comprehensive systematic big data of areas dominated by the two distributed primary area servers are formed (in practice, the number of the distributed primary servers is M, and the comprehensive systematic big data are determined according to the actual deployment number). And the control terminal is used for configuring the cloud server, the distributed primary area server, the distributed secondary area server and the intelligent optical cable monitoring device, and receiving and displaying the analysis report.
FIG. 2 is a block diagram of another embodiment of a system for cable monitoring and big data analysis based on intelligent fiber distribution. The system comprises: the intelligent optical cable monitoring devices are multiple, and are used for monitoring the optical cables in real time and acquiring and storing optical cable data. The distributed secondary area servers A-D respectively receive, store and process basic data provided by the managed intelligent optical cable monitoring devices, and the acquired data comprises deployment data, input data, detection data and the like; the distributed primary regional servers 1 and 2 respectively receive, store and process data of the governed distributed secondary regional servers, and respectively store and further process summarized regional data provided by two distributed secondary regional servers in the region (in practice, the number of the distributed secondary servers is N, and is determined according to the actual deployment number). The two cloud servers 1 and 2 which are backups of each other receive, store and process data from the two distributed primary servers respectively, so that comprehensive systematic big data of the areas governed by the two distributed primary area servers are formed respectively (in practice, the number of the distributed primary servers is M, and is determined according to the actual deployment number). And the control terminal is used for configuring the cloud server, the distributed primary area server, the distributed secondary area server and the intelligent optical cable monitoring device, and receiving and displaying the analysis report.
Fig. 3 is a block diagram of one embodiment of an intelligent fiber distribution frame based cable monitoring apparatus. The device includes: an optical device interface unit 301, an optical coupling unit 302, an optical path selection unit 303, an optical cable detection unit 304, a data acquisition and control unit 305, a communication unit 306, and an optical cable interface unit 307. The connection relationship among the units is as follows: the optical cross-connect equipment in the office is connected with the device through an optical equipment interface unit 301, an optical coupling unit 302 is respectively connected with the optical equipment interface unit 301, an optical path selection unit 303 and an optical cable interface unit 307 through three ports, the optical path selection unit 303 is connected with an optical cable detection unit 304, a data acquisition and control unit 305 is respectively connected with the optical coupling unit 302, the optical path selection unit 303, the optical cable detection unit 304 and a communication unit 306, the optical cable interface unit 307 is connected with an optical cable to be detected, and the communication unit 307 is used for communication with a control terminal and a distributed secondary area server.
Fig. 4 is a block diagram of another embodiment of an intelligent fiber distribution frame based cable monitoring apparatus. The device includes: an optical device interface unit 401, an optical coupling unit 402, an optical path selection unit 403, an optical cable detection unit 404, a data acquisition and control unit 405, a geographic information unit 406, a communication unit 407, and an optical cable interface unit 408. The connection relationship among the units is as follows: the optical cross-connect equipment in the office is connected with the device through an optical equipment interface unit 401, an optical coupling unit 402 is respectively connected with the optical equipment interface unit 401, an optical path selection unit 403 and an optical cable interface unit 408 through three ports, the optical path selection unit 403 is connected with an optical cable detection unit 404, a data acquisition and control unit 405 is respectively connected with the optical coupling unit 402, the optical path selection unit 403, the optical cable detection unit 404, a geographic information unit 406 and a communication unit 407, the optical cable interface unit 408 is connected with an optical cable to be detected, and the communication unit 407 is used for communication with a control terminal and a distributed secondary area server.
Fig. 5 is a block diagram of another embodiment of an intelligent fiber distribution frame based cable monitoring apparatus. The device includes: the system comprises an optical equipment interface unit 501, an optical coupling unit 502, an optical path selection unit 503, a blind area avoiding unit 504, an optical cable detection unit 505, a data acquisition and control unit 506, a geographic information unit 507, a communication unit 508 and an optical cable interface unit 509. The connection relationship among the units is as follows: the optical coupling unit 502 is respectively connected with the optical equipment interface unit 501, the optical path selection unit 503 and the optical cable interface unit 509 through three ports, the optical path selection unit 503 is connected with the blind area avoiding unit 504, the blind area avoiding unit 504 is connected with the optical cable detection unit 505, the data acquisition and control unit 506 is respectively connected with the optical coupling unit 502, the optical path selection unit 503, the blind area avoiding unit 504, the optical cable detection unit 505, the geographic information unit 507 and the communication unit 508, the optical cable interface unit 509 is connected with an optical cable to be detected, and the communication unit 508 is used for communication with a control terminal and a distributed secondary area server.
Fig. 6 shows an optical coupling unit of the present application, which is internally formed by an array of N (N is the number of optical fiber cores) three-port optical path tunable incident detection wavelength couplers, where the three ports are a connection optical device interface end element, an optical path selection unit, and an optical cable interface unit. After the intelligent optical cable monitoring device is started, the optical cable detection unit controls the optical path selection unit to perform non-service wavelength optical cable detection. After a certain optical cable is found to be in fault, the detection wavelength of the optical detection unit is switched into the service wavelength in the fault optical cable according to the requirement for detection, and the detection result is ensured to be more accurate. The optical coupling unit switches the detection wavelength coupling mode by: grating control wavelength selection, filter change control wavelength selection, filter configuration control wavelength selection, and the like. The specific wavelength range for business wavelength detection is 1300nm-1320 nm/1535 nm-1565nm, and the non-business wavelength range is 1480 nm-1520 nm/1615 nm-1633 nm.
Fig. 7 shows an optical path selecting unit according to the present application, which is composed of a 1 minute-N (N is the number of optical fiber cores) optical switch. The optical switch includes, but is not limited to, mechanical optical switches or MEMS optical switches. The data acquisition and control unit controls the optical cable detection signal to enter which optical fiber. And the scanning detection of the optical fibers in all the optical cables can be set path by path.
The communication unit in fig. 3-5 connects the control terminal, including but not limited to desktop, laptop, tablet and cell phone, to the distributed secondary area server via a wired and/or wireless communication interface. And configuring an intelligent optical cable monitoring device through the communication unit control terminal, and transmitting detailed detection data obtained by the intelligent optical cable monitoring device to the distributed secondary area server.
The optical cable detection unit in fig. 3-5 is controlled by the data acquisition and control unit, and the wavelength of the optical signal which does not affect the communication service in the existing optical cable is 1480nm to 1520 nm/1615 nm to 1633nm for optical cable detection, after the optical cable fault is detected, if the detection accuracy needs to be further ensured, the data acquisition and control unit controls the optical path selection unit to be kept in the fault optical cable channel and detect again, and at this time, the detection wavelength is modified to the wavelength which is consistent with the service, the wavelength range is: 1300nm-1320 nm/1535 nm-1565nm, and feeding back the detection result to the data acquisition and control unit. When the optical fiber normally works, for example, the service wavelength in the optical fiber is 1310nm or 1550nm, in order to ensure that the service is not influenced by the detection light, the wavelength of the detection light is positioned at 1625nm, and the real-time optical fiber quality detection is carried out; when a failure occurs (e.g., a broken optical fiber), the detection wavelength is 1625nm, and the following formula is used to calculateThe position of a fault point:
where C is the speed of light, T is the time required for 1625nm detection wavelength to be transmitted from the laser to the fault point and then backscattered to the detection unit, and n is the refractive index of the detection wavelength in the optical fiber. Since different wavelengths have different refractive indices, L is strongly related to the refractive index (or wavelength). The refractive index deviation is 0.001, resulting in a deviation of 0.7m per kilometer of distance. Therefore, when the fault is located, the same detection wavelength as the service wavelength is used. After the failure occurs, the detection wavelength is changed to the same wavelength as the service wavelength (for example, 1310nm), and when the detection wavelength is the same as the service wavelength, the distance L corresponding to the actual situation can be measured.
The blind area avoiding unit in fig. 5 can avoid waiting for a period of time after the optical cable detection unit receives the end surface fresnel reflected light to a saturated state, and the optical cable detection unit can recover from the saturated state to a normal state, detect the rayleigh scattered light signal again, and detect the optical fiber loss. The optical cable detection unit cannot accurately detect Rayleigh scattered light for a period of time, so that a blind area is formed. Generally, each joint has a butt end surface to cause reflection, which causes a dead zone. The blind area avoiding unit is used for avoiding a detection blind area generated by the optical cable detection unit when the optical cable is measured, and the unit is adjustable or fixed. May be implemented using attenuators or optical fibers, or other methods. The blind area control unit is controlled by the data acquisition and control unit.
The data acquisition and control unit in fig. 3-5 is responsible for controlling the operation of the optical coupling unit, the blind area control unit, the optical path selection unit, the geographic information unit and the optical cable detection unit. After the system is initialized, the optical cable detection unit is controlled to send out non-service wavelengths (the wavelength range is 1480-1520 nm/1615-1633 nm) and the optical path selection unit is controlled to perform timed polling detection on the optical fibers in all the optical cables. When the optical fiber fault is detected, the optical cable detection unit is controlled to switch the detection optical signal into the service wavelength for detection (the service detection wavelength is 1300nm-1320 nm/1525 nm-1565 nm), the optical coupling unit is controlled to switch the corresponding wavelength at the same time, the detection feedback data is sent to the data acquisition and control unit after the feedback value is obtained, and the data acquisition and control unit transmits the detection feedback data to the distributed area secondary server through the communication unit. When the intelligent optical cable monitoring device is provided with the geographic information unit, the geographic information unit is called, the position and the fault position of each optical cable data feedback are positioned in the geographic information unit, and the optical cable quality data and the fault position information combined with the geographic position information are sent to the distributed area secondary server through the communication unit. In addition, the data acquisition and control unit can also carry out appointed optical cable detection and detection parameter setting according to the demand.
Fig. 8 is a process flow of monitoring an optical cable according to an embodiment of the intelligent optical cable monitoring device of the present application. Device power-up/fiber connection initialization preparation: preparing the length, type and layout of the optical cable, the actual exploration data (loss), the optical cable manufacturer, the batch and other information, inputting the data acquisition and control unit through the control terminal, and generating and displaying a drawing file; the incoming optical cable is connected to the optical cable interface unit, and the optical equipment interface unit is connected to the local-side optical communication equipment. Initializing detection after the device is powered on/connected with the optical fiber: when the optical fiber does not bear the service, if the optical fiber is initialized and powered on, the optical path selection unit selects ports one by one according to the port sequence and then monitors the ports; if the optical fiber is added, the optical path selection unit only selects the port of the newly added optical cable for monitoring; the optical cable detection unit emits light with detection wavelength, the light enters the optical fiber to be detected through the light path selection unit and the optical coupling unit, and the optical fiber to be monitored is detected according to Fresnel scattering and Rayleigh reflection principles; the detection criteria are: optical cable layout, actual industrial survey data, optical cable manufacturer indexes and the like; comparing the detection value with the detection reference, and if the detection result is not matched, directly triggering an alarm to the control terminal through the communication unit by the data acquisition and control unit; if the detection result is not mismatched, the obtained detection data is stored in the data acquisition and control unit and is periodically reported to the distributed secondary area server or is extracted by the distributed secondary area server for subsequent data analysis. And (3) periodic polling detection: manually or default setting parameters such as polling detection time interval, detection pulse width and the like; starting an intelligent optical cable monitoring device to start detection; the optical cable detection unit sends out detection optical signals which do not affect the existing communication service, the wavelength is 1300nm-1320nm or 1480 nm-1520 nm or 1535nm-1565nm or 1615nm-1633nm, and real-time online detection is carried out; the optical cable detection unit can emit detection light of three different wave bands to avoid the influence on the service borne in the optical fiber due to the repetition of the detection light and the service wavelength; the data acquisition and control unit controls the optical cable detection unit to perform polling control on the optical path selection unit, ensures that one optical path is switched to another optical path after the detection of the other optical path is finished, and then starts a new round of detection and repeats the steps until all the optical paths are detected; in the detection process, the detection wavelength and the service wavelength are different wave bands, so that mutual interference is avoided, and a spare optical fiber channel is not required. Triggering an alarm or sending the acquired optical cable data to a distributed secondary area server based on the detection data: the data acquisition and control unit compares the actually measured optical cable data with a detection standard, wherein the detection standard comprises an optical cable layout drawing, actual work survey data, optical cable manufacturer indexes and historical average values; if an optical cable fault (a large loss point or a cable breaking fault) occurs in the detection process, an alarm is directly triggered to the control terminal through the communication unit, and an optical cable maintenance worker arrives at the fault point to solve the field fault; if no cable fault exists in the detection process, the obtained detection data is stored in the data acquisition and control unit, and the detection data is reported to the distributed secondary area server periodically or is extracted by the distributed secondary area server for subsequent data analysis.
In another optimized embodiment of the optical cable monitoring processing flow of the intelligent optical cable monitoring device, in the process of executing power-on/fiber connection initialization preparation of the device, a Geographic Information System (GIS) is used for carrying out GIS sign-in positioning on outdoor accessory equipment of the optical cable, an information corresponding table is established, the information corresponding table is stored in a geographic information unit, and calling is carried out when the device is switched on. In the initialization detection process after the device is powered on/connected with the optical fiber and the subsequent periodical polling detection process, the geographic information unit is used for positioning the fault point and the degradation point for accurate positioning.
In another optimized embodiment of the optical cable monitoring processing flow of the intelligent optical cable monitoring device, a blind area avoiding unit is used for avoiding a detection blind area in an initialization detection process after the execution device is powered on/connected with fibers and a subsequent regular polling detection process. The optical fiber detection is to detect the end face of the optical fiber by means of Fresnel reflection and to detect the loss of the optical fiber by means of Rayleigh scattering. Because Fresnel reflection can produce high-intensity reflected light, the intensity of the reflected light is more than 4000 times higher than that of reverberated scattered light produced by Rayleigh scattering, so that the optical cable detection unit can reach a saturated state after receiving the reflected light, and the optical cable detection unit can recover to a normal state from the saturated state within a period of time after the reflected light, and then can detect scattered light signals again. The optical cable detection unit cannot accurately detect Rayleigh scattered light during the period, so that a blind area is formed. Generally, each joint in the optical cable has an abutting end surface to cause reflection, so that a detection blind area is caused. The blind area avoiding unit is adjustable or fixed, and can be realized by using an attenuator with the attenuation range of 0.1 dB-2 dB or an optical fiber, a G.652 optical fiber or a G.655 optical fiber with the length of 10 m-200 m. The attenuation value and the optical fiber length of the blind area avoiding unit are input into the device, and the blind area generated by the connecting port is covered in the detection curve, so that the measurement accuracy can be improved.
Fig. 9 is a diagram illustrating an embodiment of a method for monitoring an optical cable and analyzing big data based on an intelligent optical fiber distribution frame according to the present application, including: the control terminal configures a cloud server, a distributed primary area server, a distributed secondary area server and a device for monitoring the optical cable based on an intelligent optical distribution frame; the intelligent optical cable monitoring device monitors an optical cable in real time, and receives and stores optical cable data; the distributed secondary area server receives monitoring optical cable data of the intelligent optical cable monitoring device, and stores and analyzes the monitoring optical cable data; the distributed primary area server receives the data in the distributed secondary area server, and stores and analyzes the data; the cloud server receives data in the distributed primary server to obtain an analysis report; and the control terminal receives and displays the analysis report. The control terminal configures the cloud server, the distributed primary area server and the distributed secondary area server, and comprises deployment data and input data, wherein the deployment data is initial optical cable deployment or intelligent optical cable monitoring device deployment data, and comprises an optical cable direction/interface optical cable opposite terminal office direction (for example, from A to B), an interface corresponding relation (for example, from 10 ports of an intelligent optical cable monitoring device 1 of the A to 3 ports of an intelligent optical cable monitoring device 2 of the B), an interface corresponding optical cable manufacturer, an interface corresponding optical cable batch, an interface corresponding optical cable length and the like; after the data is recorded, namely the intelligent optical cable monitoring device or the optical cable is deployed, the data which needs to be recorded is modified in practical use for a related system, and the data comprises the data of modifying and recording the direction of the optical cable and/or the office direction of the opposite end of the interface optical cable, the data of modifying and recording the corresponding relation of the interface, the data of recording the information of a new welding point and the like. Setting a data combination mode, a data selection position, data selection time and a data selection type, wherein the data selection type comprises all deployment data, all entry data, all detection data (the detection data comprises optical fiber performance change, special events, fault reasons and the like), other data (comprising time, place, temperature and the like) and the like; the control terminal configures the intelligent optical cable monitoring device by setting a detection time interval and a detection pulse width, wherein the detection time interval is a time interval for the optical cable detection unit to continuously receive optical fiber reflected light signals from the optical port, the longer the detection pulse width is, the larger the dynamic measurement range is, the longer the measurement distance is, but a blind area is generated in an optical time domain reflection curve waveform is larger, and the optical power injected into the test optical fiber by the instrument is low when the detection pulse width is set to be short pulse, but the blind area can be reduced. The intelligent optical cable monitoring device monitors the optical cable in real time and is connected with external equipment or an external optical cable through the optical equipment interface unit; external optical cable connection is realized through the optical cable interface unit; the data acquisition and control unit controls the optical coupling unit, the optical path selection unit and the optical cable detection unit; switching the wavelength coupling mode of the detection signal through an optical coupling unit; controlling the optical cable detection signal to enter a selected optical fiber through the optical path selection unit; detecting the selected optical cable through an optical cable detection unit, and feeding back detection data to the data acquisition and control unit for storage; the configuration of the control terminal is accepted through the communication unit. The optical coupling unit can perform detection wavelength coupling switching by the following three ways: grating control wavelength selection, changing filter control wavelength selection and filter form control wavelength selection.
The local data can be divided into regional data, namely all related data of all intelligent optical cable monitoring devices under the jurisdiction of the distributed secondary regional server, the regional data is subjected to data analysis processing in combination with dimensions such as time, temperature and loss change and then reported to the distributed primary regional server to form summarized regional data, namely all data provided by all distributed secondary regional servers under the jurisdiction of the distributed primary regional server and related conclusive data subjected to preliminary analysis processing of the data, and other original data are stored in the local of the distributed secondary regional server. If the distributed primary area server needs to do special analysis according to a certain factor, such as the time, place, reason, fiber performance change, manufacturer, batch, special event and other conditions of the fault, the specific data can be called to the distributed secondary area server autonomously. The data calling processing mode of the cloud server to the distributed primary area server is the same as the calling processing mode of the distributed primary area server to the distributed secondary area server data. The regional data are stored in the distributed secondary regional servers, and the summarized regional data are stored in the distributed primary regional servers. The systematic big data are stored in a cloud server, the data sources are all distributed primary region servers, and the systematic big data are extracted, stored, analyzed and processed according to needs.
The storage mining criteria of the distributed secondary area server are as follows: the method comprises the steps of storing relevant data of all intelligent optical cable monitoring devices under the jurisdiction of a distributed secondary area server, wherein the relevant data comprises but is not limited to deployment data, input data, detection data, routing data and the like, carrying out data mining analysis according to strategy setting of an operator on the distributed secondary area server, and the strategy setting comprises but is not limited to a data combination mode, data position selection, data time selection, data type selection and the like. The storage mining criteria of the distributed primary area server are as follows: storing relevant conclusion data processed by preliminary analysis of all distributed secondary regional servers under the jurisdiction of the distributed primary regional servers, and performing data mining analysis according to strategy settings of the distributed primary regional servers by operators, wherein the strategy settings include but are not limited to a data combination mode, data position selection, data time selection, data type selection and the like. The cloud server storage mining criteria are: and storing all relevant conclusion data analyzed and processed by the distributed primary area server, and performing data mining analysis according to strategy settings of an operator on the cloud server, wherein the strategy settings include but are not limited to a data combination mode, data position selection, data time selection, data type selection and the like.
Data storage and analysis processing based on four dimensions of area, cable manufacturer, temperature and loss are exemplified as follows:
see fig. 1 or fig. 2. In the figure, X, Y, Z and R are the number of the corresponding intelligent optical cable monitoring devices respectively and are determined according to actual needs. The distributed secondary area server A and the distributed secondary area server B are in the same area and have the same temperature, the average temperature in the monitoring period is 15 ℃ (15 ℃ above zero), the optical cable of a manufacturer P is adopted for optical cross connection in the area A monitored by the distributed secondary area server A, and the optical cable of a manufacturer Q is adopted for optical cross connection in the area B monitored by the distributed secondary area server B; the distributed secondary area server C and the distributed secondary area server D are in the same area and have the same temperature, the average temperature in the monitoring period is-10 ℃ (minus 10 ℃), the optical cable of the P manufacturer is adopted for optical cross connection in the area monitored by the distributed secondary area server C, and the optical cable of the Q manufacturer is adopted for optical cross connection in the area monitored by the distributed secondary area server D; and the initial cable loss values of the four areas are the same. After a period of time, the data storage and analysis processing results of each server are as follows:
the distributed secondary area server A obtains the following monitoring data from the intelligent optical cable monitoring device under the area A: the average temperature in the monitoring period is 15 ℃, the optical cable manufacturer in the area is P manufacturer, the loss condition of the optical cable link monitored in real time and the like, all data are stored simultaneously, the optical cable condition in the area A is obtained by analyzing according to the three dimensions of the optical cable manufacturer, the temperature and the loss, and the analysis result is reported to the distributed primary area server 1. The setting of the analysis dimension is completed by the control terminal. The results of this analysis are shown in FIG. 10: the loss of the optical cable of the P manufacturer in the area A is slower in the early stage along with the time change at 15 ℃, the loss change is accelerated along with the aging aggravation of the optical cable in the later stage, the overall change rule is predicted, the sudden drop of the quality of the optical cable in the area A in one period is further predicted, the maintenance personnel are required to perform preventive maintenance in advance, and the service interruption is avoided.
Distributed secondary area server B: the following data are obtained from an intelligent optical cable monitoring device under the jurisdiction of the area B: the average temperature in the monitoring period is 15 ℃, the optical cable manufacturer in the area is Q manufacturer, the loss condition of the optical cable link is monitored in real time, all data are stored, the optical cable condition in the area B is obtained by analyzing according to the three dimensions of the optical cable manufacturer, the temperature and the loss, and the analysis result is reported to the distributed primary area server 1. The setting of the analysis dimension is completed by the control terminal. The results of this analysis are shown in FIG. 11: the loss of the optical cable of the Q manufacturer in the area B is changed integrally and quickly along with the time at 15 ℃, the change is irregular, the interruption fault of the optical cable in the area B is expected to occur recently, maintenance personnel are required to perform preventive maintenance in advance, and the service interruption is avoided.
Distributed primary area server 1: the method comprises the steps of obtaining optical cable analysis data of two areas A and B from a distributed secondary area server A and a distributed secondary area server B, storing all the data, analyzing according to three dimensionality analysis settings of an optical cable manufacturer, temperature and loss to obtain the optical cable condition in the area covered by a distributed primary area server 1, and reporting the analysis result to a cloud server (a cloud server is shown in figure 1, and cloud servers 1 and 2 are shown in figure 2). The setting of the analysis dimension is completed by the control terminal. The results of this analysis are shown in FIG. 12: the data and the analysis results reported by the distributed secondary area server A and the distributed secondary area server B are comprehensively analyzed, the service condition of the optical cable of the P manufacturer in the area is better than that of the Q manufacturer on the whole at 15 ℃, the whole quality change rule is suitable for being used in the area, and the P manufacturer is recommended to be adopted for newly-built optical cables in the later-period B area.
Distributed secondary area server C: obtaining the following data from an intelligent optical cable monitoring device under the jurisdiction of the area C: the average temperature in the monitoring period is-10 ℃ (minus 10 ℃), the optical cable manufacturer in the area is P manufacturer, the loss condition of the optical cable link monitored in real time and the like, all data are stored simultaneously, the optical cable condition in the area C is obtained by analyzing according to the three dimensions of the optical cable manufacturer, the temperature and the loss, and the analysis result is reported to the distributed primary area server 2. The setting of the analysis dimension is completed by the control terminal. The analysis results are shown in fig. 13: the loss of the optical cable of the manufacturer P in the area C is regular along with the change of time at minus 10 ℃, the overall change is stable, the quality of the optical cable is predicted to suddenly drop in the area A in a half period, and maintenance personnel are required to perform preventive maintenance in advance, so that the service interruption is avoided.
Distributed secondary area server D: obtaining the following data from an intelligent optical cable monitoring device under the domain D: the average temperature in the monitoring period is-10 ℃ (minus 10 ℃), the optical cable manufacturer in the region is Q manufacturer, the loss condition of the optical cable link monitored in real time and the like, all data are stored simultaneously, the optical cable condition in the D region is obtained by analyzing according to the three dimensions of the optical cable manufacturer, the temperature and the loss, and the analysis result is reported to the distributed primary region server 2. The setting of the analysis dimension is completed by the control terminal. The analysis results are shown in fig. 14: the loss of the optical cable of the Q manufacturer in the D area is changed integrally and rapidly along with the time at minus 10 ℃, the change is irregular, the interruption fault of the optical cable in the D area is predicted to occur recently, maintenance personnel are required to perform preventive maintenance in advance, and the service interruption is avoided
Distributed primary zone server 2: optical cable analysis data of the two areas C and D are obtained from the distributed secondary area server C and the distributed secondary area server D, all the data are stored at the same time, analysis is carried out according to three dimensions of an optical cable manufacturer, temperature and loss to obtain the optical cable condition in the area dominated by the distributed primary area server 2, and the analysis result is reported to a cloud server (the cloud server is shown in figure 1, and the cloud servers 1 and 2 are shown in figure 2). The setting of the analysis dimension is completed by the control terminal. The analysis results are shown in fig. 15: and comprehensively analyzing the data and the analysis results reported by the distributed secondary area server C and the distributed secondary area server D, wherein the service condition of the optical cable of the P manufacturer in the area at minus 10 ℃ is better than that of the Q manufacturer on the whole, the whole quality change rule is suitable for being used in the area, and the P manufacturer is recommended to be adopted as the newly-built optical cable in the D area at the later stage.
Cloud server (cloud server in fig. 1, cloud servers 1 and 2 in fig. 2): and acquiring optical cable analysis data of the two areas from the distributed primary area server 1 and the distributed primary area server 2, storing all the data, and performing big data analysis according to the areas, optical cable manufacturers, temperature and loss. The setting of the analysis dimension is completed by the control terminal. The analysis results are shown in fig. 16: the optical cable of the P manufacturer is stable at two temperatures of 15 ℃ and-10 ℃, is comprehensively superior to the optical cable of the Q manufacturer, has wider application range, is proposed to be newly built in the two areas in the later period, is more considered to adopt the optical cable of the P manufacturer, and is proposed to gradually replace the optical cable of the Q manufacturer in the area, so as to perform key maintenance on the optical cable which cannot be replaced.
In fig. 2, the cloud server 1 and the cloud server 2 are backup to each other.
The above-mentioned embodiments are intended to explain the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are only the embodiments of the present invention, and are not intended to limit the scope of the present invention. The control terminal can be a mobile phone, a notebook computer, a tablet computer, a desktop computer and the like. The analysis dimension set by the control terminal includes, but is not limited to, time, location, reason, cable performance change, cable manufacturer, lot, special event, historical maintenance mode, etc. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (21)
1. The utility model provides a system for carry out optical cable monitoring and big data analysis based on intelligent optical distribution frame which characterized in that includes: the system comprises a cloud server, a distributed primary area server, a distributed secondary area server, a device for monitoring the optical cable based on an intelligent optical distribution frame and a control terminal;
the distributed secondary area server is connected with the device for monitoring the optical cable based on the intelligent optical distribution frame in the docking area, receives optical cable data from the device and stores and analyzes the optical cable data;
the distributed primary area server is connected with the distributed secondary area server in the area, receives the data in the distributed secondary area server, and stores and analyzes the data;
the cloud server is connected with a distributed primary area server in the area, receives data in the distributed primary area server and obtains an analysis report;
the control terminal is used for configuring the cloud server, the distributed primary area server, the distributed secondary area server and a device for monitoring the optical cable based on the intelligent optical fiber distribution frame, and receiving and displaying the analysis report;
device based on intelligent fiber optic distribution frame carries out optical cable monitoring includes: the optical equipment comprises an optical equipment interface unit, an optical cable interface unit, a data acquisition and control unit, an optical coupling unit, an optical path selection unit, an optical cable detection unit and a communication unit;
the optical equipment interface unit is used for connecting the device with external equipment or an external optical cable;
the optical cable interface unit is used for connecting the device with an external optical cable;
the data acquisition and control unit is used for controlling the optical coupling unit, the optical path selection unit and the optical cable detection unit;
the optical coupling unit is used for switching the wavelength coupling mode of the detection signal;
the optical path selection unit is used for controlling an optical cable detection signal to enter a selected optical fiber;
the optical cable detection unit is used for detecting the selected optical cable and feeding back detection data to the data acquisition and control unit;
the communication unit is used for communicating with the control terminal and the distributed secondary area server;
after the device for monitoring the optical cable based on the intelligent optical fiber distribution frame is initialized, the data acquisition and control unit controls the optical cable detection unit to send out non-service wavelengths and controls the optical path selection unit to perform timed polling detection on the optical fibers in all the optical cables;
after the device for monitoring the optical cable based on the intelligent optical distribution frame detects an optical fiber fault, the data acquisition and control unit controls the optical cable detection unit to switch the detection optical signal into the service wavelength for detection and controls the optical coupling unit to switch the corresponding wavelength.
2. The system of claim 1, wherein the cloud servers comprise a primary cloud server and a backup cloud server.
3. The system of claim 1, wherein: the device for monitoring the optical cable based on the intelligent optical distribution frame comprises a geographic information unit and is used for positioning optical data through an integrated electronic map and a landmark.
4. The system of claim 1, wherein: the device for monitoring the optical cable based on the intelligent optical distribution frame comprises a blind area avoiding unit, and is used for avoiding a detection blind area generated by the optical cable detection unit during detection according to the control of the data acquisition and control unit.
5. The system of claim 4, wherein: the blind area avoiding unit is an adjustable or fixed attenuator or an optical fiber.
6. The system of claim 1, wherein: the optical coupling unit consists of an N three-port optical path adjustable incidence detection wavelength coupler array, wherein N is the number of optical cable cores, and three ports are respectively connected with the optical equipment interface unit, the optical cable interface unit and the optical path selection unit.
7. The system of claim 6, wherein: the optical coupling unit performs coupling switching of detection wavelengths, including grating control wavelength selection, filter control wavelength selection changing and filter form control wavelength selection.
8. The system of claim 7, wherein: the service wavelength range for detection is 1300nm-1320nm and 1535nm-1565nm, and the non-service wavelength range for detection is 1480 nm-1520 nm and 1615nm-1633 nm.
9. The system of claim 1, wherein: the optical path selection unit is a 1-minute-N optical switch.
10. The system according to claim 1 or 2, characterized in that: the distributed secondary area server receives data of the optical cable monitoring device based on the intelligent optical distribution frame in an area, wherein the data is uploaded to the distributed secondary area server by the device at regular time; the distributed secondary area server retrieves cable data from the device.
11. The system according to claim 1 or 2, characterized in that: the distributed primary area server receives data in the distributed secondary area server, and the distributed secondary area server analyzes and processes the received optical cable data and uploads the optical cable data to the distributed primary area server; and the distributed primary area server calls data from the distributed secondary area server.
12. The system according to claim 1 or 2, characterized in that: the cloud server receives data in the distributed primary area server, and the distributed primary area server analyzes and processes the received optical cable data and uploads the optical cable data to the cloud server; and the cloud server calls data from the distributed primary area server.
13. A method for monitoring an optical cable and analyzing big data based on an intelligent optical fiber distribution frame is characterized in that: the control terminal configures a cloud server, a distributed primary area server, a distributed secondary area server and a device for monitoring the optical cable based on an intelligent optical distribution frame; the device for monitoring the optical cable based on the intelligent optical distribution frame monitors the optical cable in real time, and acquires and stores optical cable data; the distributed secondary area server receives the monitoring optical cable data of the device, and stores and analyzes the monitoring optical cable data; the distributed primary area server receives the data in the distributed secondary area server, and stores and analyzes the data; the cloud server receives the data in the distributed primary server, stores the data and obtains an analysis report; the control terminal receives and displays the analysis report;
the device for monitoring the optical cable based on the intelligent optical distribution frame monitors the optical cable in real time, and acquires and stores optical cable data, wherein the optical cable data comprises the optical cable data and the optical equipment interface unit which are connected with external equipment or an external optical cable; external optical cable connection is realized through the optical cable interface unit; the data acquisition and control unit controls the optical coupling unit, the optical path selection unit and the optical cable detection unit; switching the wavelength coupling mode of the detection signal through the optical coupling unit; controlling an optical cable detection signal to enter a selected optical fiber through the optical path selection unit; detecting the selected optical cable through the optical cable detection unit, and feeding back detection data to the data acquisition and control unit for storage; accepting configuration of the control terminal through the communication unit;
after the device for monitoring the optical cable based on the intelligent optical fiber distribution frame is initialized, the data acquisition and control unit controls the optical cable detection unit to send out non-service wavelengths and controls the optical path selection unit to perform timed polling detection on the optical fibers in all the optical cables;
after the device for monitoring the optical cable based on the intelligent optical distribution frame detects an optical fiber fault, the data acquisition and control unit controls the optical cable detection unit to switch the detection optical signal into the service wavelength for detection, and controls the optical coupling unit to switch the corresponding wavelength.
14. The method of claim 13, wherein: the control terminal configures a cloud server, a distributed primary area server and a distributed secondary area server, stores hardware data comprising deployment data and input data, sets a combination mode of the data, a selection position of the data, a selection time of the data and a selection type of the data; the control terminal configures the device for monitoring the optical cable based on the intelligent optical distribution frame, and comprises the steps of setting detection time intervals and detecting pulse widths.
15. The method of claim 13, wherein: the device carries out optical fiber data positioning through an electronic map and a landmark integrated by a geographic information unit.
16. The method of claim 13, wherein: the device avoids the detection blind area generated by the optical cable detection unit during detection through the blind area avoiding unit.
17. The method of claim 13, wherein: the optical coupling unit performs coupling switching of detection wavelengths, including grating control wavelength selection, filter control wavelength selection changing and filter form control wavelength selection.
18. The method of claim 13, wherein: the service wavelength range for detection is 1300nm-1320nm and 1535nm-1565nm, and the non-service wavelength range for detection is 1480 nm-1520 nm and 1615nm-1633 nm.
19. The method of claim 13, wherein: the distributed secondary area server receives the monitoring optical cable data of the device, and stores and analyzes the monitoring optical cable data, wherein the device uploads the acquired optical cable data to the distributed secondary area server through the communication unit at regular time; the distributed secondary area server calls optical cable data from the device; the distributed secondary area server analyzes the received monitoring optical cable data based on the conditions of time, place, temperature, optical fiber performance change, optical fiber manufacturers, batches, special events, failure reasons and the like.
20. The method of claim 13, wherein: the distributed primary area server receives the data in the distributed secondary area server, and the storage and analysis of the data comprise that the distributed secondary area server analyzes and processes the received optical cable data and uploads the optical cable data to the distributed primary area server; the distributed primary area server calls data from the distributed secondary area server; and storing the received analysis data of the distributed secondary area server, and performing data mining analysis according to a preset strategy, wherein the strategy comprises a data combination mode, a data selection position, data selection time and a data selection type.
21. The method of claim 13, wherein: the cloud server receives the data in the distributed primary server to obtain an analysis report, and the distributed primary regional server uploads the analyzed data to the cloud server; the cloud server calls data from the distributed primary area server; and storing the received analysis data of the distributed primary area server, and performing data mining analysis according to a preset strategy, wherein the strategy comprises a data combination mode, a data selection position, data selection time and a data selection type.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811542386.3A CN109510663B (en) | 2018-12-17 | 2018-12-17 | System and method for monitoring optical cable and analyzing big data based on intelligent optical fiber distribution |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811542386.3A CN109510663B (en) | 2018-12-17 | 2018-12-17 | System and method for monitoring optical cable and analyzing big data based on intelligent optical fiber distribution |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109510663A CN109510663A (en) | 2019-03-22 |
| CN109510663B true CN109510663B (en) | 2021-08-17 |
Family
ID=65752733
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811542386.3A Active CN109510663B (en) | 2018-12-17 | 2018-12-17 | System and method for monitoring optical cable and analyzing big data based on intelligent optical fiber distribution |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109510663B (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110069027A (en) * | 2019-03-28 | 2019-07-30 | 深圳市联讯通讯技术有限公司 | A kind of cable Measuring error system and its application method with intelligent distributing frame |
| CN110445535A (en) * | 2019-08-07 | 2019-11-12 | 高勘(广州)技术有限公司 | A kind of optical cable real-time monitoring system |
| CN111817777A (en) * | 2020-07-23 | 2020-10-23 | 广州优加智联技术有限公司 | Idle optical fiber resource on-line monitoring system |
| CN114337795B (en) * | 2022-03-11 | 2022-06-03 | 北京中昱光通科技有限公司 | OLP optical line protection method for optical cable automatic monitoring system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102035599A (en) * | 2010-12-01 | 2011-04-27 | 苏州新海宜通信科技股份有限公司 | FTTH passive optical link monitoring system and method |
| CN102523037A (en) * | 2011-11-23 | 2012-06-27 | 上海市电力公司 | Centralized monitoring and managing system for optical cable resources |
| CN106656633A (en) * | 2017-02-10 | 2017-05-10 | 国网甘肃省电力公司信息通信公司 | System and method for evaluating transmission performance of electric power backbone OTN |
| CN207398929U (en) * | 2017-08-08 | 2018-05-22 | 广西电网有限责任公司电力科学研究院 | Power transmission and transforming equipment safe early warning decision-making platform based on electric power big data analysis |
| CN207801937U (en) * | 2017-10-30 | 2018-08-31 | 海南电网有限责任公司 | A kind of multi-functional intelligent light time domain reflectometer |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN205407853U (en) * | 2016-03-07 | 2016-07-27 | 国家电网公司 | Double -link data transmission system |
| CN108932480B (en) * | 2018-06-08 | 2022-03-15 | 电子科技大学 | Distributed optical fiber sensing signal feature learning and classifying method based on 1D-CNN |
-
2018
- 2018-12-17 CN CN201811542386.3A patent/CN109510663B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102035599A (en) * | 2010-12-01 | 2011-04-27 | 苏州新海宜通信科技股份有限公司 | FTTH passive optical link monitoring system and method |
| CN102523037A (en) * | 2011-11-23 | 2012-06-27 | 上海市电力公司 | Centralized monitoring and managing system for optical cable resources |
| CN106656633A (en) * | 2017-02-10 | 2017-05-10 | 国网甘肃省电力公司信息通信公司 | System and method for evaluating transmission performance of electric power backbone OTN |
| CN207398929U (en) * | 2017-08-08 | 2018-05-22 | 广西电网有限责任公司电力科学研究院 | Power transmission and transforming equipment safe early warning decision-making platform based on electric power big data analysis |
| CN207801937U (en) * | 2017-10-30 | 2018-08-31 | 海南电网有限责任公司 | A kind of multi-functional intelligent light time domain reflectometer |
Non-Patent Citations (1)
| Title |
|---|
| 大数据背景下的通信光缆维护工作发展;李阳君;《新媒体研究》;20160321;第15-16页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109510663A (en) | 2019-03-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109510663B (en) | System and method for monitoring optical cable and analyzing big data based on intelligent optical fiber distribution | |
| CN103647601A (en) | Fiber monitoring system | |
| EP3101826B1 (en) | System and method for certification of physical parameters of communication links | |
| US11368214B2 (en) | Automated system for link health assessment in fiber optic networks | |
| CN102523037B (en) | Centralized monitoring and managing system for optical cable resources | |
| JP4324581B2 (en) | Optical fiber condition monitoring device and method in optical network | |
| KR100952539B1 (en) | Real-time Monictoring Apparatus and Method for Obstacle in Optical Cable | |
| WO2015196638A1 (en) | Optical fiber detection method, detection device, detection platform and element management system | |
| CN106330298A (en) | Real-time optical cable fiber core monitoring system | |
| KR101379446B1 (en) | Optical Neuron system Terminal. | |
| CN103281122A (en) | Online optical cable monitoring device and method for improving alarm accuracy rate | |
| CN104320185A (en) | Optical fiber circuit monitoring system | |
| CN105871604A (en) | Optical fiber attenuation entire online monitoring system and monitoring method | |
| KR101342361B1 (en) | realtime Optical Monitoring system possible auto Switching of Optical line. | |
| JP6196124B2 (en) | Optical fiber transmission line monitoring system | |
| CN203675113U (en) | Optical fiber monitoring system | |
| CN110034818A (en) | A kind of device and system carrying out fiber optic cable monitor based on intelligent optical fiber distribution system | |
| CN214125291U (en) | Performance monitoring device and system of optical fiber network | |
| JP5241419B2 (en) | Instantaneous interruption monitoring system and instantaneous interruption monitoring program | |
| KR101552682B1 (en) | Realtime optical network monitoring system | |
| KR101546035B1 (en) | Realtime optical network monitoring system based resource sharing | |
| CN212367274U (en) | Railway communication optical cable on-line monitoring system | |
| US20170363509A1 (en) | Method and Device for Optical Fiber Monitoring and Optical Fiber Adapter | |
| JP4209309B2 (en) | Optical line test system | |
| Bréda | Monitoring Optical Data Connection between Protected Rooms in Smart Cities |
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 | ||
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20221118 Address after: Floor 9, Unit 2, Building B4, No. 8, Jialing Jiangdong Street, Jianye District, Nanjing, Jiangsu 210026 Patentee after: Nanjing Zhongke Hetu intelligent Internet of things Technology Research Institute Co.,Ltd. Address before: 1711, building 3, Anhua Nanli, Dongcheng District, Beijing 100010 Patentee before: Pan Zijun Patentee before: Yang Shiyi Patentee before: Tu Jiawei |
|
| TR01 | Transfer of patent right |
Effective date of registration: 20240401 Address after: Room 3-1010, 10th Floor, No.1 Shanyuan Street, Haidian District, Beijing, 100080 Patentee after: Beijing Xianfan Technology Co.,Ltd. Country or region after: China Patentee after: Zhongjing Technology Group Co.,Ltd. Patentee after: HEBEI HUAWANG COMPUTER TECHNOLOGY CO.,LTD. Address before: Floor 9, Unit 2, Building B4, No. 8, Jialing Jiangdong Street, Jianye District, Nanjing, Jiangsu 210026 Patentee before: Nanjing Zhongke Hetu intelligent Internet of things Technology Research Institute Co.,Ltd. Country or region before: China |