CN112787716A - Fault detection method and device, electronic equipment and computer readable medium - Google Patents
Fault detection method and device, electronic equipment and computer readable medium Download PDFInfo
- Publication number
- CN112787716A CN112787716A CN201911088243.4A CN201911088243A CN112787716A CN 112787716 A CN112787716 A CN 112787716A CN 201911088243 A CN201911088243 A CN 201911088243A CN 112787716 A CN112787716 A CN 112787716A
- Authority
- CN
- China
- Prior art keywords
- light attenuation
- light
- value
- optical
- data
- 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.)
- Granted
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 29
- 230000003287 optical effect Effects 0.000 claims abstract description 132
- 239000013307 optical fiber Substances 0.000 claims abstract description 108
- 238000000034 method Methods 0.000 claims abstract description 31
- 238000004458 analytical method Methods 0.000 claims abstract description 24
- 239000006185 dispersion Substances 0.000 claims abstract description 24
- 230000005540 biological transmission Effects 0.000 claims description 25
- 238000004590 computer program Methods 0.000 claims description 3
- 238000012423 maintenance Methods 0.000 abstract description 18
- 238000003745 diagnosis Methods 0.000 description 20
- 238000010586 diagram Methods 0.000 description 11
- 238000007726 management method Methods 0.000 description 10
- 239000000835 fiber Substances 0.000 description 8
- 238000004891 communication Methods 0.000 description 7
- 238000012545 processing Methods 0.000 description 7
- 230000002159 abnormal effect Effects 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 5
- 230000008569 process Effects 0.000 description 5
- 238000004364 calculation method Methods 0.000 description 4
- 238000005259 measurement Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 3
- 230000000977 initiatory effect Effects 0.000 description 3
- 238000010295 mobile communication Methods 0.000 description 3
- 238000013024 troubleshooting Methods 0.000 description 3
- 238000007405 data analysis Methods 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 230000009977 dual effect Effects 0.000 description 2
- 230000007774 longterm Effects 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 230000008859 change Effects 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 230000007723 transport mechanism Effects 0.000 description 1
- 238000012384 transportation and delivery 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
-
- 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
- H04B10/0795—Performance monitoring; Measurement 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
- H04B10/0795—Performance monitoring; Measurement of transmission parameters
- H04B10/07953—Monitoring or measuring OSNR, BER or Q
Landscapes
- Physics & Mathematics (AREA)
- Electromagnetism (AREA)
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Optical Communication System (AREA)
Abstract
The invention discloses a fault detection method and device, electronic equipment and a computer readable medium, wherein the method comprises the following steps: detecting an optical fiber link between optical transmitting equipment and optical receiving equipment to obtain historical light attenuation data of the optical fiber link, wherein the historical light attenuation data comprises light attenuation data obtained in the last period and first light attenuation data in the period, the first light attenuation data is light attenuation data obtained in a preset time period, and the light attenuation data comprises a light attenuation value, a light power value and a light attenuation difference value; carrying out dispersion analysis on historical light attenuation data to obtain a light attenuation credible interval; and judging whether the optical fiber link has a fault according to the acquired second light attenuation data and the light attenuation credible interval, wherein the second light attenuation data is the light attenuation data acquired beyond the preset time in the period. The labor cost is reduced, the maintenance workload is reduced, and the light attenuation treatment efficiency is improved.
Description
Technical Field
The disclosed embodiments relate to the field of communications technologies, and in particular, to a fault detection method and apparatus, an electronic device, and a computer-readable medium.
Background
In the existing mobile communication network, a base station and a Remote Radio Unit (RRU) are mostly connected and communicated by using an optical fiber cable, and the quality problem of the optical fiber cable is very important when the number of network elements in the mobile communication network is increasing.
At present, fault detection of the optical fiber cable is mostly completed in a manual mode, for example, a worker goes to a site to use an optical power meter or a red light source and other meters to perform user-by-user and segment-by-segment test and investigation, and data is collected and compared in a manual mode to further determine whether the optical fiber cable has a quality problem; however, the manual monitoring mode is adopted, so that the workload is large, the efficiency is low, the monitoring requirements in the existing network cannot be met, and meanwhile, the labor cost input is increased.
Disclosure of Invention
The embodiment of the disclosure provides a fault detection method and device, electronic equipment and a computer readable medium.
In a first aspect, an embodiment of the present disclosure provides a fault detection method, where the method includes: obtaining historical light attenuation data of the optical fiber link, wherein the historical light attenuation data comprises light attenuation data obtained in the last period and first light attenuation data in the period, and the first light attenuation data is obtained from the starting time of the period to the preset time; carrying out dispersion analysis on historical light attenuation data to obtain a light attenuation credible interval; and judging whether the optical fiber link has a fault according to the acquired second light attenuation data and the light attenuation credible interval, wherein the second light attenuation data is the light attenuation data acquired from the preset time to the ending time of the period in the period.
In some embodiments, the step of performing dispersion analysis on the historical light attenuation data to obtain a light attenuation confidence interval includes: respectively carrying out dispersion analysis on the light attenuation value, the light power value and the light attenuation difference value in the historical light attenuation data, and correspondingly obtaining a light attenuation value confidence interval, a light power value confidence interval and a light attenuation difference value confidence interval; and determining the light attenuation credibility interval according to the light attenuation value credibility interval, the light power value credibility interval and the light attenuation difference value credibility interval.
In some embodiments, the step of performing dispersion analysis on the light attenuation value, the light power value, and the light attenuation difference value in the historical light attenuation data to correspondingly obtain a light attenuation value confidence interval, a light power value confidence interval, and a light attenuation difference value confidence interval includes: respectively taking the light attenuation value, the light power value and the light attenuation difference value as sample data; calculating the mean value of the sample data to obtain a sample mean value; calculating standard deviation of the sample data according to the sample data and the sample mean value, wherein the standard deviation comprises light attenuation value standard deviation, light power value standard deviation and light attenuation difference value standard deviation; determining a light attenuation value confidence interval according to the light attenuation value standard deviation; determining an optical power value credible interval according to the optical power value standard deviation; and determining a credible interval of the light attenuation difference value according to the standard deviation of the light attenuation difference value.
In some embodiments, the step of determining whether the optical fiber link has a fault according to the obtained second optical attenuation data and the optical attenuation trusted section includes: if the following conditions are determined to be satisfied, determining that the optical fiber link has a fault, and generating fault information; the light attenuation value in the second light attenuation data is outside the light attenuation value credible interval; the optical power value in the second optical attenuation data is outside the optical power value credible interval; the light attenuation difference value in the second light attenuation data is outside the confidence interval of the light attenuation difference value.
In some embodiments, the step of obtaining historical optical attenuation data of the optical fiber link comprises: the optical power values in the optical attenuation data include: an optical reception power value and an optical transmission power value; the following operations are performed for the optical fiber link between each group of the optical transmission device and the optical reception device: acquiring the transmission delay of light on an optical fiber link; calculating to obtain the length of the optical fiber according to the transmission time delay; calculating to obtain an optical attenuation value according to the obtained optical transmission power value of the optical transmission equipment, the optical receiving power value of the optical receiving equipment and the length of the optical fiber; calculating to obtain light attenuation difference values according to the uplink light attenuation value and the downlink light attenuation value, wherein the light attenuation values comprise the uplink light attenuation value and the downlink light attenuation value; and determining light attenuation data according to the light attenuation value, the light transmitting power value, the light receiving power value and the light attenuation difference value.
In some embodiments, the optical transmission apparatus includes a base station or a radio remote unit, RRU; the optical receiving device comprises an RRU.
In some embodiments, after the step of determining whether the optical fiber link has a fault according to the obtained second optical attenuation data and the optical attenuation trusted zone, the method further includes: if the optical fiber link is determined to have a fault, generating fault information; and sending the fault information to the management server.
In a second aspect, an embodiment of the present disclosure provides an apparatus for fault detection, including: the acquisition module is used for acquiring historical light attenuation data of the optical fiber link, wherein the historical light attenuation data comprises light attenuation data acquired in the last period and first light attenuation data in the period, and the first light attenuation data is acquired from the starting time of the period to the preset time; the analysis module is used for carrying out dispersion analysis on the historical light attenuation data to obtain a light attenuation credible interval; and the judging module is used for judging whether the optical fiber link has a fault according to the acquired second light attenuation data and the light attenuation credible interval, wherein the second light attenuation data is the light attenuation data acquired from the preset time to the ending time of the period in the period.
In a third aspect, an embodiment of the present disclosure provides an electronic device, including: one or more processors; a storage device having one or more programs stored thereon, which when executed by one or more processors, cause the one or more processors to implement the method described in the first aspect.
In a fourth aspect, the embodiments of the present disclosure provide a computer-readable medium on which a computer program is stored, which when executed by a processor implements the method described in the first aspect.
According to the fault detection method provided by the embodiment of the disclosure, the dispersion degree analysis is performed on the acquired historical light attenuation data to obtain the light attenuation credible interval, when the second light attenuation data is acquired, the second light attenuation data can be compared with the light attenuation credible interval to determine whether the second light attenuation data is abnormal, and if it is determined that the optical fiber link has a fault, fault information is generated, so that the network side equipment can determine which specific optical fiber links between the equipment have the fault according to the fault information, and therefore, a manager is prompted to timely overhaul the optical fiber link, the connectivity between the optical transmitting equipment and the optical receiving equipment is ensured, meanwhile, the labor cost is reduced, the workload of maintenance personnel is reduced, and the light attenuation treatment efficiency is improved.
Drawings
The accompanying drawings are included to provide a further understanding of the embodiments of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the principles of the disclosure and not to limit the disclosure. The above and other features and advantages will become more apparent to those skilled in the art by describing in detail exemplary embodiments thereof with reference to the attached drawings, in which:
FIG. 1 is a flow chart of a method of fault detection in a first embodiment of the present invention;
fig. 2 is a schematic diagram of an optical fiber connection between a base station and an RRU in a first embodiment of the present invention;
fig. 3 is a schematic diagram of dual optical fiber transceiving between a base station and an RRU in a first embodiment of the present invention;
FIG. 4 is a schematic diagram of optical fiber distance measurement in a first embodiment of the present invention;
FIG. 5 is a diagram illustrating the dispersion of light decay data analyzed by a standard difference according to the first embodiment of the present invention;
FIG. 6 is a flow chart of a method of fault detection in a second embodiment of the present invention;
fig. 7 is a schematic topology diagram in a communication network in a second embodiment of the present invention;
fig. 8 is a flow chart of light attenuation data collection and data analysis in a communication network according to a second embodiment of the present invention;
fig. 9 is a block diagram of a failure detection apparatus according to a third embodiment of the present invention.
Detailed Description
In order to make those skilled in the art better understand the technical solution of the present invention, the following describes the fault detection method and apparatus, the electronic device, and the computer readable medium provided by the present invention in detail with reference to the accompanying drawings.
Example embodiments will be described more fully hereinafter with reference to the accompanying drawings, but the following example embodiments may be embodied in different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
The terms "first" and "second" in the description and claims of the present invention and the above-described drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be implemented in other sequences than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," or "having," and any variations thereof, are intended to cover non-exclusive inclusions, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Note that "and/or" included in the following means that either one of the two conditions is satisfied, or both of the two conditions are satisfied; or means that in two execution steps, either one of the steps is executed only, or the two steps are executed simultaneously; for example, "a, and/or, B", if a and B represent conditions that need to be satisfied, then the expression indicates that only condition a is satisfied, or only condition B is satisfied, or both conditions a and B are satisfied, for a total of three possible conditions; if A and B indicate that steps are to be performed, then the expression indicates that only step A is to be performed, or only step B is to be performed, or both steps A and B are to be performed, for a total of three possible steps to be performed.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and the present disclosure, and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
The invention relates to a fault detection method, and relates to an embodiment to be detected. The following describes the implementation details of the fault detection method in the present embodiment in detail, and the following is only for facilitating understanding of the implementation details of the present solution and is not necessary for implementing the present solution.
Fig. 1 is a flowchart of a fault detection method in this embodiment, where the method is applicable to a network-side server, and specifically, the network-side server may include a network management server and an operation and maintenance server. The operation maintenance server is used for establishing an optical attenuation diagnosis task, initiating optical attenuation diagnosis on the optical fiber links among network elements of the whole network or designated network elements at regular time, and summarizing and storing the obtained optical attenuation data into a database. The network management server is used for displaying the detailed information of the optical fiber link diagnosis. The method may include the following steps.
In step 101, historical light attenuation data of the optical fiber link is obtained.
The historical light attenuation data comprises light attenuation data acquired in the last period and first light attenuation data in the period, the first light attenuation data is the light attenuation data acquired from the starting time of the period to the preset time, and the light attenuation data comprises a light attenuation value, a light power value and a light attenuation difference value.
The optical attenuation data is data of an optical fiber link obtained by detecting the optical fiber link between the optical transmission device and the optical reception device. The period may be different time lengths such as a day, a week, or a month, and may be specifically set according to an actual situation, and no limit is made herein, and other unexplained periods are also within the protection scope of the present application and are not described herein again. The preset time may be any time in a period, the light attenuation data acquired from the start time of the period to the preset time is used as a part of the historical light velocity data, and the light attenuation data acquired from the preset time to the end time of the period in the period is used as the second light attenuation data. For example, if a week is set as one cycle and the fifth day is set as a preset time, the light attenuation data acquired five days before the week is set as a part of the historical light attenuation data, and the light attenuation data acquired on the sixth day or the seventh day is set as the second light attenuation data. To facilitate subsequent analysis. The preset time can be flexibly set according to needs, and is not limited herein.
In one specific implementation, as shown in fig. 2, the optical sending device includes a base station 803 or a Remote Radio Unit (RRU) 804; the optical receiving device includes RRU 804. The base station 803 and the RRU804 are connected by an optical fiber, and the historical light attenuation data is light attenuation data obtained when diagnosing whether the optical fiber link has a quality problem.
For example, fig. 3 is a schematic diagram of dual fiber transceiving between a base station and an RRU. Wherein, TX represents an optical transmitting end, and RX represents an optical receiving end, the optical module 1 of the base station is connected with the optical module 3 of the RRU through two optical fibers (i.e., the optical fibers 1 and 2), and meanwhile, the optical module 2 of the base station is connected with the optical module 4 of the RRU through two optical fibers (i.e., the optical fibers 3 and 4).
It should be noted that the Base station may be connected to multiple stages of RRUs, and for a cascaded RRU, when performing optical fiber link detection, all information such as an optical port number, a superior position, and a subordinate position of the RRU in a first-stage cascade, and an optical port number, a superior position, and a subordinate position of the RRU in a later cascade may be acquired, where table 1 is acquired related data of the shenzhen jinniu shantian office Base station, where BPL is a single board on a Baseband Processing unit (Base band unit, B), a Baseband Processing function (BPL) Module in a Long Term Evolution (Long Term Evolution, LTE) technology of a universal mobile communication technology, SubNetwork represents a subnet identifier, MEID is a Network Element identifier (MEID), and an RRU is a radio remote unit.
TABLE 1 light decay data List
In one specific implementation, the optical power values in the optical attenuation data include: an optical reception power value and an optical transmission power value; the following operations are performed for the optical fiber link between each group of the optical transmission device and the optical reception device: acquiring the transmission delay of light on an optical fiber link; calculating to obtain the length of the optical fiber according to the transmission time delay; calculating to obtain an optical attenuation value according to the obtained optical transmission power value of the optical transmission equipment, the optical receiving power value of the optical receiving equipment and the length of the optical fiber; calculating to obtain light attenuation difference values according to the uplink light attenuation value and the downlink light attenuation value, wherein the light attenuation values comprise the uplink light attenuation value and the downlink light attenuation value; and determining light attenuation data according to the light attenuation value, the light transmitting power value, the light receiving power value and the light attenuation difference value.
Specifically, the length of the optical fiber is calculated and obtained through the acquired transmission delay, and as shown in fig. 4, the length is an optical fiber distance measurement schematic diagram. Wherein, the Radio frequency Equipment controller (ecrec) is a controller with enhanced Common Radio Interface (eCPRI): while an eccri Radio Equipment (eree) is also a Radio Equipment with an eccri. The external time delay between the two is specifically denoted as T12And T34The time delay inside the radio frequency device is denoted T2aAnd Ta3。
When the eREC initiates a time delay measurement, the time delay between the optical transmitter R1 and the optical receiver R4, i.e., T, can be obtained14=T12+T2a+Ta3+T34Meanwhile, the internal time delay of the radio frequency equipment, namely the time delay T between the port R2 and the port R3 is obtainedoffsetI.e. Toffset=T2a+Ta3Then the one-way delay of the optical fiber is T ═ T (T) at this time14-Toffset)/2. When the time delay is measured in an eCPRI environment, the time delay inside the radio frequency equipment is not considered, so the measured one-way time delay is basically equal to the one-way optical fiber time delay, and the time delay T used for ranging is T12I.e., the one-way delay between the edrec and the radio frequency equipment. When the time delay is measured in an environment using Common Public Radio Interface (CPRI), the time delay inside the Radio frequency equipment needs to be considered, and the obtained time delay T is (T ═ T14-Toffset) 2; meanwhile, the internal time delay of the eREC needs to be considered, and the internal time delay of the eREC needs to be actually tested to obtain T0 (for example, a self loop smaller than 3 meters is performed through the eREC, and a T value obtained by initiating measurement is the internal time delay T of the eREC0) (ii) a The delay obtained when considering the delay inside the eREC is T ═ T (T ═ T)14-Toffset)/2-T0/2. After the time delay is obtained, the relationship between the light and the propagation distance is calculatedThe fiber length is obtained. The refractive index of the single-mode fiber is uniformly calculated according to 1.5, and the length L of the fiber is 3.0X 10X 8T/1.5.
It should be noted that, the physical paths of two optical fibers in a pair of optical cables (i.e. including one receiving optical fiber and one transmitting optical fiber) are the same, and since the optical module has a substantially constant output power under a constant working condition, the optical attenuation of the uplink (i.e. optical fiber attenuation, unit is db) should theoretically be close to the optical attenuation of the downlink, and if the optical attenuation difference (i.e. the difference between the optical attenuation of the uplink and the optical attenuation of the downlink) is too large, there may be a quality problem in the optical fiber or an abnormal problem in the optical module corresponding to the optical fiber. In general, for an optical cable with qualified quality, every one hundred kilometers, the light attenuation difference value of the optical cable attenuates by 5db, and if the attenuation value of the light attenuation difference value exceeds 5db, the error rate of transmitted data is increased, and normal transmission of system data is affected. If the receiving power of the rf device is smaller than the receiving sensitivity due to the excessive light attenuation, packet loss may occur.
In one specific implementation, the light attenuation values of the upper and lower nodes can be calculated by the following calculation formula:
the uplink optical attenuation value (transmission power of the lower node-reception power of the upper node) -the optical fiber length is 0.0005 dbm/m;
downlink optical attenuation value (transmitting power of an upper node-receiving power of a lower node) -optical fiber length of 0.0005 dbm/m;
where 0.0005dBm/m is an optical loss value per unit length (e.g., one meter), dBm is a unit of power, and is used to characterize a value of an absolute value of power, and the specific calculation formula is: dBm is 10 log (power value/1 mw). If the transmitting power is 1w, which is 1000mw, then 30dBm can be calculated according to the above formula.
When the optical module is used specifically, the optical loss values of the optical modules of different manufacturers are different. The normal attenuation of each kilometer of optical cable is determined according to the type of the optical fiber and the wavelength of a transmission signal, a single-mode optical fiber is generally adopted for connection between a base station and the RRU, and the single-mode optical fiber has long transmission distance and high speed; the normal attenuation of the optical cable per kilometer is about 0.34dB at the 1310nm wavelength transmission of the base station, and about 0.19dB at the 1550nm wavelength, so that the attenuation range of the optical cable itself can be determined to be 0.2dBm to 0.5 dBm.
In step 102, the dispersion degree of the historical light attenuation data is analyzed to obtain a light attenuation confidence interval.
In a specific implementation, the dispersion degree analysis is respectively carried out on the light attenuation value, the light power value and the light attenuation difference value in the historical light attenuation data, and a light attenuation value credible interval, a light power value credible interval and a light attenuation difference value credible interval are correspondingly obtained; and determining the light attenuation credibility interval according to the light attenuation value credibility interval, the light power value credibility interval and the light attenuation difference value credibility interval.
It should be noted that, through performing dispersion analysis on the light attenuation value, the light power value, and the light attenuation difference value in the historical light attenuation data, a normal range, i.e., a confidence interval, can be determined, the data in this range is normal data, otherwise is abnormal data, and specifically, if any one of the following conditions (for example, the light attenuation value is too large, the received power value is too small, or the difference between the uplink and downlink light attenuation values is too large, etc.), it indicates that the data is not in the normal range, and is abnormal data.
In a specific implementation, the step of respectively performing dispersion analysis on the light attenuation value, the light power value and the light attenuation difference value in the historical light attenuation data to correspondingly obtain a light attenuation value confidence interval, a light power value confidence interval and a light attenuation difference value confidence interval includes: respectively taking the light attenuation value, the light power value and the light attenuation difference value as sample data; calculating the mean value of the sample data to obtain a sample mean value; calculating standard deviation of the sample data according to the sample data and the sample mean value, wherein the standard deviation comprises light attenuation value standard deviation, light power value standard deviation and light attenuation difference value standard deviation; determining a light attenuation value confidence interval according to the light attenuation value standard deviation; determining an optical power value credible interval according to the optical power value standard deviation; and determining a credible interval of the light attenuation difference value according to the standard deviation of the light attenuation difference value.
It should be noted that, the standard deviation is used to represent the degree of dispersion of the sample data, in the normal distribution, 1 standard deviation is equal to 68.2% of the area of the curve under the normal distribution, as shown in fig. 5, the area between the abscissa-1 σ and 1 σ is one standard deviation, and 2 standard deviations are equal to 95% of the area of the curve under the normal distribution, i.e., the area between the abscissa-2 σ and 2 σ.
It should be noted that, if a network element managed by an Operation and Maintenance Center (OMC) belongs to a network device purchased at the same time, and an optical module and an optical fiber purchased by the OMC belong to the same batch, a performance index obtained by using the batch of devices may be obtained through statistics according to performance parameters of the batch of devices, and the performance index conforms to normal distribution. When the optical attenuation diagnosis is carried out on the optical fiber and the optical module, the information of the manufacturer name, the device model, the temperature of a transceiver and the like of the optical module can be simultaneously acquired, when the standard deviation is calculated, the optical modules of the same manufacturer and the same device model can be classified, and the corresponding standard deviation is calculated and obtained. The vertical axis of the normal distribution curve in fig. 5 represents a probability value that occurs when the horizontal axis (i.e., the random variable) is equal to a number, for example, when the random variable is equal to 1 σ, the probability value is 0.23. The area of the region in fig. 5, that is, the area in the distribution interval below the normal curve and above the horizontal axis reflects the probability of the random variable value (that is, the probability distribution of the random variable) in the interval.
Specifically, fig. 5 is a diagram illustrating the dispersion obtained by analyzing the light attenuation data by using the standard deviation, where μ is the average value, σ is the standard deviation, and the standard deviation calculation formula is:wherein, x is the sample data,and the operation maintenance server calculates the obtained light attenuation value, the received light power and the light attenuation difference value respectively according to the standard deviation calculation formula to obtain a light attenuation value standard deviation, a light power value standard deviation and a light attenuation difference value standard deviation respectively. If 2 standard deviations are taken as a threshold value, the light attenuation value, the received light power or the light attenuation difference value exceeding the threshold value is the light attenuation value, the received light power or the light attenuation difference value outside the credible intervalThe light attenuation difference value shows that the dispersion degree of the light attenuation data is larger.
In step 103, whether the optical fiber link has a fault is determined according to the obtained second optical attenuation data and the optical attenuation trusted zone.
The second light attenuation data is the light attenuation data acquired from the preset time to the end time of the period. The light attenuation data comprises a light attenuation value, a light power value and a light attenuation difference value.
It should be noted that, by comparing the second light attenuation data with the light attenuation reliable interval, it is determined whether the second light attenuation data is within the light attenuation reliable interval, so as to determine whether the light receiving device and the light transmitting device have a fault. For example, when the second light attenuation data is within the light attenuation confidence interval, it may be determined that the optical fiber between the light receiving apparatus and the light transmitting apparatus is not failed; when the second optical attenuation data is outside the optical attenuation reliable interval, it can be determined that the optical fiber between the optical receiving device and the optical sending device may have a fault, and the optical receiving device and the optical sending device can be marked as suspected faulty devices.
In one particular implementation, fault information is generated if it is determined that the following conditions are all true; the light attenuation value in the second light attenuation data is outside the light attenuation value credible interval; the optical power value in the second optical attenuation data is outside the optical power value credible interval; the light attenuation difference value in the second light attenuation data is outside the confidence interval of the light attenuation difference value.
It should be noted that, by determining whether three specific data (for example, a light attenuation value, a light power value, and a light attenuation difference value) in the second light attenuation data are within a corresponding light attenuation confidence interval, it is determined whether the device has a fault, so that the validity of the determination can be increased, and the obtained determination result is more accurate.
In the embodiment, the dispersion degree of the acquired historical light attenuation data is analyzed to obtain the light attenuation credible interval, when the second light attenuation data is acquired, the second light attenuation data can be compared with the light attenuation credible interval to determine whether the second light attenuation data is abnormal, if the optical fiber link is determined to have a fault, fault information is generated, so that the network side equipment can determine which specific optical fiber links between the equipment have the fault according to the fault information, and therefore, a manager is prompted to timely overhaul the optical fiber link, the communication between the light sending equipment and the light receiving equipment is ensured, the labor cost is reduced, the workload of maintenance personnel is reduced, and the light attenuation treatment efficiency is improved.
A second embodiment of the present invention relates to a fault detection method. The second embodiment is substantially the same as the first embodiment, and mainly differs therefrom in that: after the fault information is generated, a fault report needs to be generated and sent to the management server, and operation and maintenance personnel can perform troubleshooting according to the fault report.
Fig. 6 is a flowchart of a fault detection method in this embodiment, where the method is applicable to a network-side server, and specifically, the network-side server may include a network management server and an operation and maintenance server. The operation maintenance server is used for establishing an optical attenuation diagnosis task, initiating optical attenuation diagnosis for network elements in the whole network or optical fiber links among designated network elements at regular time, and summarizing and storing the obtained optical attenuation data into a database. The network management server is used for displaying the detailed information of the diagnosis of the optical fiber link, displaying the suspected fault optical fiber link and providing a troubleshooting reference for operation and maintenance personnel. The method may include the following steps.
In step 601, historical optical attenuation data of the optical fiber link is obtained.
In step 602, a dispersion analysis is performed on the historical light attenuation data to obtain a light attenuation confidence interval.
In step 603, whether the optical fiber link has a fault is determined according to the obtained second optical attenuation data and the optical attenuation trusted zone.
It should be noted that steps 601 to 603 in this embodiment are the same as steps 101 to 103 in the first embodiment, and are not described herein again.
In step 604, if it is determined that the optical fiber link has a failure, failure information is generated.
It should be noted that, when it is determined that the optical fiber link fails, the identifier of the optical fiber link needs to be recorded, and further, the identifier of the optical transmission device connected to the optical fiber link and the identifier of the optical receiving device, such as the manufacturer name or the device model of the device, are determined, so that the operation and maintenance staff can find the failed optical fiber link more accurately, and further, the location of the failed optical fiber link is determined accurately according to the failure information, thereby providing a basis for further processing the failure.
In step 605, failure information is sent to the management server.
It should be noted that, the fault information is sent to the management server, so that the operation and maintenance personnel can remotely obtain the fault information by checking the display interface of the management server, and the operation and maintenance personnel can conveniently locate the optical fiber link with the fault and further process the fault.
In a specific implementation, as shown in fig. 7, a topology diagram of a communication network specifically includes the following network elements: a Network Management Center (NMC) server 801, an OMC server 802, a baseband processing unit 803(Base band unit, BBU), a first-stage RRU804, and a secondary RRU805 are connected by optical fibers between the BBU and the RRU, and between the RRU804 and the RRU 805.
Wherein the BBU803 includes a BBU diagnostic module for collecting BBU803 diagnostic information. The signals can be transmitted to the RRU804 or the RRU805 to collect the upper and lower optical fiber link diagnostic information between the BBU803 and the RRU804, and finally the diagnostic information is displayed on the diagnostic information interface of the OMC server 802. The RRU804 includes an RRU diagnostic module for collecting RRU804 diagnostic information. Signals can be transmitted to the BBU803 and the lower RRU805 to collect fiber link diagnostic information between the RRU804 and the lower RRU805 and transmit the results back to the BBU 803. The operation and maintenance personnel can create a light attenuation diagnosis task on the OMC server 802, initiate light attenuation diagnosis on the network elements of the whole network or specified network elements at regular time, and store the diagnosis result data in a database in a gathering manner. The NMC server 801 includes an optical attenuation data analysis module, and is configured to display detailed information of upper and lower optical fiber link diagnosis between the BBU803 and the RRU804, display a suspected fault optical fiber link, and provide a troubleshooting reference for operation and maintenance personnel.
Fig. 8 is a message flow chart between network elements, and the specific steps are described as follows:
in step 8001, the operation and maintenance personnel set up a full network optical attenuation diagnostic task on the NMC server 801.
The light decay diagnosis task is a task started at a fixed time, the fixed time period may be different time periods such as a day, a week, or a month, the NMC server 801 distributes the light decay diagnosis tasks to the OMC server 802, and the OMC server 802 executes the light decay diagnosis tasks at a set period.
In step 8002, each OMC server 802 timing controls the BBU to initiate an optical contact diagnostic task.
It should be noted that, the BBU803 may initiate the optical fiber link detection between the BBU803 and the RRU804, or the optical fiber link detection between the RRU804 and the RRU805 at a fixed time according to the time point set by the optical attenuation diagnosis task.
In step 8003, BBU803 initiates a fiber link diagnostic task with first stage RRU 804.
The optical fiber link diagnostic task can collect some data related to the optical module, such as: receive power, transmit power, vendor name, device model, transceiver temperature, etc., and also perform fiber length diagnostics between the BBU803 and the first stage RRU 804.
In step 8004, RRU804 initiates fiber link diagnostic tasks with second stage RRU 805.
In step 8005, the second stage RRU805 reports the collected diagnosis result between the RRU804 and the second stage RRU805 to the RRU 804.
In step 8006, the RRU804 reports the collected diagnostic results from the BBU803 to the RRU804 and between the RRU804 and the second-stage RRU805 to the BBU 803.
In step 8007, the BBU803 reports all the obtained light attenuation diagnosis results to the OMC server 802, so that the OMC server 802 can store the light attenuation data in a database to facilitate subsequent analysis of the data.
The light attenuation data may specifically include a light attenuation value, a light power value, and a light attenuation difference value.
In step 8008, the NMC server 801 invokes the light attenuation data collected between the network elements in the databases of the OMC servers 802, and performs discrete analysis on the light attenuation data.
Specifically, the light attenuation standard deviation can be calculated based on these light attenuation data. For example, in practical applications, one OMC server 802 manages 2000 base stations, one base station has a plurality of optical fiber links, specifically including an optical fiber link between a BBU and an RRU and an optical fiber link between an RRU and an RRU, and a tester can perform multiple diagnoses on the optical fiber links according to different set diagnosis tasks within one day to acquire more optical attenuation data. Therefore, an OMC server 802 generates a number of light attenuation data per month (i.e., 30 days) much greater than 60000.
The NMC server 801 calculates the mean value and the standard deviation of the light attenuation value, the light power value, and the light attenuation difference value in the light attenuation data according to the historical light attenuation data generated by the plurality of OMC servers 802. Since these light attenuation data are accumulated continuously, the mean value and the standard deviation also change dynamically and gradually tend to be accurate, and finally, a whole-network light attenuation confidence interval is formed on the NMC server 801.
In step 8009, according to the obtained second light attenuation data and the light attenuation confidence interval calculated in step 8008, the number of network elements that do not fall within the light attenuation confidence interval is calculated, for example, if the data of the network elements whose light attenuation data are not within 2 standard deviations from the average value are calculated, these network elements are taken as faulty network elements, and fault information is generated.
In step 8010, a diagnosis report is generated according to the fault information and the identifier of the faulty network element collected in step 8009, and is reported to the NMC server 801, so that the operation and maintenance personnel operating the NMC server 801 can obtain the diagnosis report and perform fault processing in time.
In the embodiment, a light attenuation credible interval is obtained by performing dispersion analysis on the obtained historical light attenuation data, when second light attenuation data is obtained, the second light attenuation data can be compared with the light attenuation credible interval to determine whether the second light attenuation data is abnormal, if it is determined that a fault exists in an optical fiber link, fault information is generated, so that network side equipment can determine which specific optical fiber links among the equipment have the fault according to the fault information, further, a fault report is generated according to the identification and the fault information of the optical fiber link, and the fault report is sent to a management server, so that maintenance personnel can find the fault optical fiber link more accurately, and a basis is provided for further processing the fault optical fiber link.
The steps of the above methods are divided for clarity, and the implementation may be combined into one step or split some steps, and the steps are divided into multiple steps, so long as the same logical relationship is included, which are all within the protection scope of the present patent; it is within the scope of the patent to add insignificant modifications to the algorithms or processes or to introduce insignificant design changes to the core design without changing the algorithms or processes.
The third embodiment of the present invention relates to a fault detection device, and the specific implementation of the fault detection device can be referred to the related description of the first embodiment, and repeated descriptions are omitted. It should be noted that, the specific implementation of the apparatus in this embodiment may also refer to the related description of the second embodiment, but is not limited to the above two examples, and other unexplained examples are also within the protection scope of the apparatus.
As shown in fig. 9, a block diagram of a failure detection device according to the present embodiment mainly includes:
the obtaining module 901 is configured to obtain historical light attenuation data of the optical fiber link, where the historical light attenuation data includes light attenuation data obtained in a previous period and first light attenuation data in the current period, and the first light attenuation data is light attenuation data obtained from a start time of the period to a preset time; the analysis module 902 is configured to perform dispersion analysis on the historical light attenuation data to obtain a light attenuation confidence interval; the determining module 903 is configured to determine whether the optical fiber link has a fault according to the obtained second optical attenuation data and the optical attenuation reliable interval, where the second optical attenuation data is obtained from a preset time to a stop time of the period in the period.
It should be understood that this embodiment is an example of the apparatus corresponding to the first or second embodiment, and may be implemented in cooperation with the first or second embodiment. The related technical details mentioned in the first or second embodiment are still valid in this embodiment, and are not described herein again in order to reduce repetition. Accordingly, the related-art details mentioned in the present embodiment can also be applied to the first or second embodiment.
It should be noted that each module referred to in this embodiment is a logical module, and in practical applications, one logical unit may be one physical unit, may be a part of one physical unit, and may be implemented by a combination of multiple physical units. In addition, in order to highlight the innovative part of the present invention, elements that are not so closely related to solving the technical problems proposed by the present invention are not introduced in the present embodiment, but this does not indicate that other elements are not present in the present embodiment.
A fourth embodiment of the present invention relates to an electronic apparatus including:
one or more processors;
a storage device having one or more programs stored thereon, which when executed by one or more processors, cause the one or more processors to implement any of the above-described fault detection methods.
A fifth embodiment of the present invention relates to a computer-readable medium having stored thereon a computer program which, when executed by a processor, implements any of the above-described fault detection methods.
It will be understood by those of ordinary skill in the art that all or some of the steps of the methods, systems, functional modules/units in the devices disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. In a hardware implementation, the division between functional modules/units mentioned in the above description does not necessarily correspond to the division of physical components; for example, one physical component may have multiple functions, or one function or step may be performed by several physical components in cooperation. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as is well known to those of ordinary skill in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as known to those skilled in the art.
Example embodiments have been disclosed herein, and although specific terms are employed, they are used and should be interpreted in a generic and descriptive sense only and not for purposes of limitation. In some instances, features, characteristics and/or elements described in connection with a particular embodiment may be used alone or in combination with features, characteristics and/or elements described in connection with other embodiments, unless expressly stated otherwise, as would be apparent to one skilled in the art. Accordingly, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the scope of the disclosure as set forth in the appended claims.
Claims (10)
1. A method of fault detection, the method comprising:
obtaining historical light attenuation data of the optical fiber link, wherein the historical light attenuation data comprises light attenuation data obtained in the last period and first light attenuation data in the period, and the first light attenuation data is obtained from the starting time of the period to a preset time;
carrying out dispersion analysis on the historical light attenuation data to obtain a light attenuation credible interval;
and judging whether the optical fiber link has a fault according to the acquired second light attenuation data and the light attenuation credible interval, wherein the second light attenuation data is the light attenuation data acquired from the preset time to the end time of the period in the period.
2. The method according to claim 1, wherein the step of performing a dispersion analysis on the historical light attenuation data to obtain a light attenuation confidence interval includes:
respectively carrying out dispersion analysis on the light attenuation value, the light power value and the light attenuation difference value in the historical light attenuation data, and correspondingly obtaining a light attenuation value confidence interval, a light power value confidence interval and a light attenuation difference value confidence interval;
and determining the light attenuation credibility interval according to the light attenuation value credibility interval, the light power value credibility interval and the light attenuation difference value credibility interval.
3. The method according to claim 2, wherein the step of performing the dispersion analysis on the light attenuation value, the light power value, and the light attenuation difference value in the historical light attenuation data to correspondingly obtain the light attenuation value confidence interval, the light power value confidence interval, and the light attenuation difference value confidence interval includes:
respectively taking the light attenuation value, the light power value and the light attenuation difference value as sample data;
calculating the mean value of the sample data to obtain a sample mean value;
calculating to obtain a standard deviation of the sample data according to the sample data and the sample mean value, wherein the standard deviation comprises a light attenuation value standard deviation, a light power value standard deviation and a light attenuation difference value standard deviation;
determining the light attenuation value credible interval according to the light attenuation value standard deviation;
determining the optical power value credible interval according to the optical power value standard deviation;
and determining a credible interval of the light attenuation difference value according to the standard deviation of the light attenuation difference value.
4. The method according to claim 2, wherein the step of determining whether the optical fiber link has a fault according to the obtained second optical attenuation data and the optical attenuation trusted section includes:
if the following conditions are all determined to be satisfied, determining that the optical fiber link has a fault;
the light attenuation value in the second light attenuation data is outside the light attenuation value credible interval;
the optical power value in the second optical attenuation data is outside the optical power value credible interval;
and the light attenuation difference value in the second light attenuation data is outside the confidence interval of the light attenuation difference value.
5. The method according to any one of claims 1 to 4, wherein the step of obtaining historical light attenuation data of the optical fiber link comprises:
the optical power values in the optical attenuation data include: an optical reception power value and an optical transmission power value;
performing the following operations on the optical fiber link between each set of the optical transmitting apparatus and the optical receiving apparatus:
acquiring the transmission delay of light on the optical fiber link;
calculating to obtain the length of the optical fiber according to the transmission time delay;
calculating to obtain the light attenuation value according to the obtained light transmitting power value of the light transmitting equipment, the light receiving power value of the light receiving equipment and the length of the optical fiber;
calculating to obtain the light attenuation difference value according to the uplink light attenuation value and the downlink light attenuation value, wherein the light attenuation value comprises the uplink light attenuation value and the downlink light attenuation value;
and determining the light attenuation data according to the light attenuation value, the light sending power value, the light receiving power value and the light attenuation difference value.
6. The fault detection method according to claim 5, characterized in that said optical transmission apparatus comprises:
a base station or a radio remote unit RRU;
the light receiving apparatus includes: the RRU is provided.
7. The method according to claim 1 or 4, wherein after the step of determining whether the optical fiber link has a fault according to the obtained second optical attenuation data and the optical attenuation trusted section, the method further includes:
if the optical fiber link is determined to have a fault, generating fault information;
and sending the fault information to a management server.
8. A fault detection device, comprising:
the acquisition module is used for acquiring historical light attenuation data of the optical fiber link, wherein the historical light attenuation data comprises light attenuation data acquired in the last period and first light attenuation data in the period, and the first light attenuation data is acquired from the starting time of the period to the preset time;
the analysis module is used for carrying out dispersion analysis on the historical light attenuation data to obtain a light attenuation credible interval;
and the judging module is used for judging whether the optical fiber link has a fault according to the acquired second optical attenuation data and the optical attenuation credible interval, wherein the second optical attenuation data is the optical attenuation data acquired from the preset time to the end time of the period in the period.
9. An electronic device, comprising:
one or more processors;
storage means having one or more programs stored thereon which, when executed by the one or more processors, cause the one or more processors to carry out the method according to any one of claims 1 to 7.
10. A computer-readable medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1 to 7.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201911088243.4A CN112787716B (en) | 2019-11-08 | 2019-11-08 | Fault detection method and device, electronic equipment and computer readable medium |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201911088243.4A CN112787716B (en) | 2019-11-08 | 2019-11-08 | Fault detection method and device, electronic equipment and computer readable medium |
Publications (2)
Publication Number | Publication Date |
---|---|
CN112787716A true CN112787716A (en) | 2021-05-11 |
CN112787716B CN112787716B (en) | 2024-10-25 |
Family
ID=75748588
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201911088243.4A Active CN112787716B (en) | 2019-11-08 | 2019-11-08 | Fault detection method and device, electronic equipment and computer readable medium |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112787716B (en) |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114006656A (en) * | 2021-10-29 | 2022-02-01 | 深圳市润迅通投资有限公司 | Method for reporting fault of optical fiber communication link |
CN114674532A (en) * | 2022-02-27 | 2022-06-28 | 江苏欧软信息科技有限公司 | Optical fiber test data acquisition method and system based on industrial Internet platform |
CN115065857A (en) * | 2022-08-17 | 2022-09-16 | 深圳市品为科技有限公司 | High-definition multimedia interface optical fiber transmission device |
CN115765867A (en) * | 2022-11-21 | 2023-03-07 | 中国联合网络通信集团有限公司 | Link detection method, device, equipment and storage medium |
CN116232451A (en) * | 2023-02-13 | 2023-06-06 | 中国联合网络通信集团有限公司 | Line inspection method, device, equipment and storage medium |
Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN202856733U (en) * | 2012-06-04 | 2013-04-03 | 赵忠旭 | Optical cable management system ocms |
CN103148928A (en) * | 2013-01-29 | 2013-06-12 | 北京信息科技大学 | Generator stator end winding degradation diagnosis method based on correlation analysis of electrical quantities and mechanical quantities |
CN103312411A (en) * | 2013-05-30 | 2013-09-18 | 华为数字技术(成都)有限公司 | Method and device for detecting fault of optical fiber link |
CN103364107A (en) * | 2013-07-31 | 2013-10-23 | 北京航空航天大学 | Optical fiber Raman cable temperature monitoring and alarm system with attenuation self-compensation |
CN104283607A (en) * | 2012-01-13 | 2015-01-14 | 李水进 | Optical fiber communication network monitoring protecting system and method thereof |
EP2903182A1 (en) * | 2014-01-30 | 2015-08-05 | Alcatel Lucent | Diagnosing faults in optical networks |
CN104836529A (en) * | 2015-05-20 | 2015-08-12 | 北京空间飞行器总体设计部 | Fault diagnosis method for output current of on-orbit satellite solar cell array |
CN105515649A (en) * | 2014-10-14 | 2016-04-20 | 中国移动通信集团山东有限公司 | Optical cable performance detection method and device |
CN105871604A (en) * | 2016-03-29 | 2016-08-17 | 国网河北省电力公司衡水供电分公司 | Optical fiber attenuation entire online monitoring system and monitoring method |
CN106788696A (en) * | 2017-01-20 | 2017-05-31 | 山西恒海创盈科技有限公司 | The monitoring of optical cable on-line intelligence and fault location system based on GIS platform |
CN208273301U (en) * | 2018-05-28 | 2018-12-21 | 上海朗骏智能科技股份有限公司 | Street lamp remotely controls attenuation compensation system |
CN110212979A (en) * | 2019-07-09 | 2019-09-06 | 国网浙江省电力有限公司信息通信分公司 | A kind of optical transport network Fault Locating Method |
-
2019
- 2019-11-08 CN CN201911088243.4A patent/CN112787716B/en active Active
Patent Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104283607A (en) * | 2012-01-13 | 2015-01-14 | 李水进 | Optical fiber communication network monitoring protecting system and method thereof |
CN202856733U (en) * | 2012-06-04 | 2013-04-03 | 赵忠旭 | Optical cable management system ocms |
CN103148928A (en) * | 2013-01-29 | 2013-06-12 | 北京信息科技大学 | Generator stator end winding degradation diagnosis method based on correlation analysis of electrical quantities and mechanical quantities |
CN103312411A (en) * | 2013-05-30 | 2013-09-18 | 华为数字技术(成都)有限公司 | Method and device for detecting fault of optical fiber link |
CN103364107A (en) * | 2013-07-31 | 2013-10-23 | 北京航空航天大学 | Optical fiber Raman cable temperature monitoring and alarm system with attenuation self-compensation |
EP2903182A1 (en) * | 2014-01-30 | 2015-08-05 | Alcatel Lucent | Diagnosing faults in optical networks |
CN105515649A (en) * | 2014-10-14 | 2016-04-20 | 中国移动通信集团山东有限公司 | Optical cable performance detection method and device |
CN104836529A (en) * | 2015-05-20 | 2015-08-12 | 北京空间飞行器总体设计部 | Fault diagnosis method for output current of on-orbit satellite solar cell array |
CN105871604A (en) * | 2016-03-29 | 2016-08-17 | 国网河北省电力公司衡水供电分公司 | Optical fiber attenuation entire online monitoring system and monitoring method |
CN106788696A (en) * | 2017-01-20 | 2017-05-31 | 山西恒海创盈科技有限公司 | The monitoring of optical cable on-line intelligence and fault location system based on GIS platform |
CN208273301U (en) * | 2018-05-28 | 2018-12-21 | 上海朗骏智能科技股份有限公司 | Street lamp remotely controls attenuation compensation system |
CN110212979A (en) * | 2019-07-09 | 2019-09-06 | 国网浙江省电力有限公司信息通信分公司 | A kind of optical transport network Fault Locating Method |
Non-Patent Citations (1)
Title |
---|
赵锦辉;戴俊峰;张明昭;齐放;叶学程;: "电力通信网光纤衰减测试及光缆链路故障点的定位", 电工技术, no. 02, 25 January 2018 (2018-01-25) * |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114006656A (en) * | 2021-10-29 | 2022-02-01 | 深圳市润迅通投资有限公司 | Method for reporting fault of optical fiber communication link |
CN114006656B (en) * | 2021-10-29 | 2023-03-14 | 深圳市光网世纪科技有限公司 | Method for reporting fault of optical fiber communication link |
CN114674532A (en) * | 2022-02-27 | 2022-06-28 | 江苏欧软信息科技有限公司 | Optical fiber test data acquisition method and system based on industrial Internet platform |
CN115065857A (en) * | 2022-08-17 | 2022-09-16 | 深圳市品为科技有限公司 | High-definition multimedia interface optical fiber transmission device |
CN115765867A (en) * | 2022-11-21 | 2023-03-07 | 中国联合网络通信集团有限公司 | Link detection method, device, equipment and storage medium |
CN115765867B (en) * | 2022-11-21 | 2024-05-07 | 中国联合网络通信集团有限公司 | Link detection method, device, equipment and storage medium |
CN116232451A (en) * | 2023-02-13 | 2023-06-06 | 中国联合网络通信集团有限公司 | Line inspection method, device, equipment and storage medium |
Also Published As
Publication number | Publication date |
---|---|
CN112787716B (en) | 2024-10-25 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN112787716B (en) | Fault detection method and device, electronic equipment and computer readable medium | |
US9686166B2 (en) | Power fluctuation detection and analysis | |
US8014297B2 (en) | Network test apparatus, network test method and network test program | |
JP4416800B2 (en) | Antenna system telemetry monitoring apparatus and method using mobile communication terminal | |
US11323927B2 (en) | Automated observational passive intermodulation (PIM) interference detection in cellular networks | |
EP3667952B1 (en) | Method, device, and storage medium for locating failure cause | |
US8531983B2 (en) | System and method for identifying a length of an installed fiber cable | |
US11140062B2 (en) | Methods for testing cable modems | |
CN101072075A (en) | Device and method for testing radio frequency interference between wireless communication systems | |
CN107078949B (en) | Method and device for detecting forward topology | |
WO2022262573A1 (en) | Method and apparatus for detecting fault of passive wavelength division device, and server and storage medium | |
CN104853381A (en) | Broadband radio frequency and spectrum resource monitoring system and method | |
CN113810238A (en) | Network monitoring method, electronic device and storage medium | |
CN114337810B (en) | All-optical network communication system and communication method | |
CN113949657B (en) | Internet of things detection device, system and test method | |
CN109547296A (en) | A kind of monitoring method, monitoring modular and the system of cable TV network link signal quality | |
CN106254167B (en) | Network monitoring method, device, equipment and system | |
CN113259022B (en) | Monitoring method, unit, system and storage medium for receiving and sending sharing unit | |
US11265080B2 (en) | Submarine cable fault determining method and apparatus | |
EP3372976B1 (en) | Method and system for identifying connectivity in an optical fiber communication (ofc) network | |
Song et al. | Cluster-based Method for Eavesdropping Identification and Localization in Optical Links | |
EP3343972B1 (en) | Wireless data concentrator systems and methods | |
US20240187159A1 (en) | Methods, systems and computer readable media for analyzing and displaying wireless signal data captured by a wireless signal capture and data analyzer device | |
EP4175197A1 (en) | Optical network system, management device, optical transmission apparatus, and communications device | |
CN113852430A (en) | Bluetooth equipment performance test system and test method under user environment |
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 | ||
TA01 | Transfer of patent application right |
Effective date of registration: 20240923 Address after: 210012 No. 68 Bauhinia Road, Yuhuatai District, Jiangsu, Nanjing Applicant after: Nanjing Zhongxing New Software Co.,Ltd. Country or region after: China Address before: 518057 Zhongxing building, science and technology south road, Nanshan District hi tech Industrial Park, Guangdong, Shenzhen Applicant before: ZTE Corp. Country or region before: China |
|
TA01 | Transfer of patent application right | ||
GR01 | Patent grant |