CN114034407B - Method and device for monitoring optical cable tube well and computer readable storage medium - Google Patents
Method and device for monitoring optical cable tube well and computer readable storage medium Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K11/00—Measuring temperature based upon physical or chemical changes not covered by groups G01K3/00, G01K5/00, G01K7/00 or G01K9/00
- G01K11/32—Measuring temperature based upon physical or chemical changes not covered by groups G01K3/00, G01K5/00, G01K7/00 or G01K9/00 using changes in transmittance, scattering or luminescence in optical fibres
- G01K11/322—Measuring temperature based upon physical or chemical changes not covered by groups G01K3/00, G01K5/00, G01K7/00 or G01K9/00 using changes in transmittance, scattering or luminescence in optical fibres using Brillouin scattering
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/16—Measuring arrangements characterised by the use of optical techniques for measuring the deformation in a solid, e.g. optical strain gauge
- G01B11/18—Measuring arrangements characterised by the use of optical techniques for measuring the deformation in a solid, e.g. optical strain gauge using photoelastic elements
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K11/00—Measuring temperature based upon physical or chemical changes not covered by groups G01K3/00, G01K5/00, G01K7/00 or G01K9/00
- G01K11/32—Measuring temperature based upon physical or chemical changes not covered by groups G01K3/00, G01K5/00, G01K7/00 or G01K9/00 using changes in transmittance, scattering or luminescence in optical fibres
- G01K11/324—Measuring temperature based upon physical or chemical changes not covered by groups G01K3/00, G01K5/00, G01K7/00 or G01K9/00 using changes in transmittance, scattering or luminescence in optical fibres using Raman scattering
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Abstract
The application discloses a monitoring method and device of an optical cable pipe well and a computer readable storage medium, relates to the technical field of safety monitoring, and is used for monitoring the safety state of the optical cable pipe well in real time. The method comprises the following steps: acquiring historical sensing data acquired by a distributed optical fiber sensor; the optical fiber sensor comprises a distributed optical fiber sensor, a sensor and a sensor, wherein the distributed optical fiber sensor is arranged on a dark optical fiber, the dark optical fiber is deployed in an optical cable tube well to be measured, historical sensing data comprise temperature values and/or strain amounts of the dark optical fiber at a plurality of moments in the past period, and the strain amounts are used for indicating stretching change amounts of the dark optical fiber; according to the historical sensing data, determining a safety state value at a future moment, wherein the safety state value is used for reflecting the possibility of safety accidents of the optical cable pipe well to be tested; if the safety state value of the future moment is greater than or equal to the safety state early warning threshold value of the optical cable pipe well to be tested, generating first warning information, wherein the first warning information is used for warning staff to notice that the optical cable pipe well to be tested possibly has a safety accident at the future moment.
Description
Technical Field
The present disclosure relates to the field of security monitoring technologies, and in particular, to a method and an apparatus for monitoring an optical cable well, and a computer readable storage medium.
Background
The optical fiber communication facility is taken as an important component of a new foundation, is a basic guarantee of future mass novel information application, and currently, telecommunication operators in China already lay large-scale optical fiber infrastructure for supporting digital transformation of society.
In order to facilitate the maintenance and protection of the optical fiber, an optical cable tube well is often arranged on the optical fiber circuit. However, as the total mileage of optical fiber construction increases, the construction standard of the optical cable pipe well is not uniform, the laying environment is more and more complex, and as the service time of the optical cable pipe well structure increases, the optical cable pipe well structure can undergo structural aging and deterioration, even adverse effects of events such as earthquake deformation, adjacent pipeline leakage and the like, and the continuously accumulated structural damage of the optical cable pipe well is a hidden danger of safe operation of the optical cable, so that the optical cable pipe well needs to be monitored safely in time.
Disclosure of Invention
The application provides a monitoring method, a monitoring device and a computer readable storage medium for an optical cable pipe well, which can monitor the safety state of the optical cable pipe well in real time so as to remind a worker of paying attention to maintenance.
In a first aspect, a method for monitoring a fiber optic cable tubing well is provided, comprising: acquiring historical sensing data acquired by a distributed optical fiber sensor; the optical fiber sensor comprises a distributed optical fiber sensor, a sensor and a sensor, wherein the distributed optical fiber sensor is arranged on a dark optical fiber, the dark optical fiber is deployed in an optical cable tube well to be measured, historical sensing data comprise temperature values and/or strain amounts of the dark optical fiber at a plurality of moments in the past period, and the strain amounts are used for indicating stretching change amounts of the dark optical fiber; according to the historical sensing data, determining a safety state value at a future moment, wherein the safety state value is used for reflecting the possibility of safety accidents of the optical cable pipe well to be tested; if the safety state value of the future moment is greater than or equal to the safety state early warning threshold value of the optical cable pipe well to be tested, generating first warning information, wherein the first warning information is used for warning staff to notice that the optical cable pipe well to be tested possibly has a safety accident at the future moment.
The technical scheme provided by the application at least brings the following beneficial effects: the historical sensing data acquired by the distributed optical fiber sensor on the dark optical fiber is acquired, and the historical sensing data comprise the temperature values and/or the strain amounts of the dark optical fiber at a plurality of moments in the past period of time, so that the change rule of the temperature values and/or the strain amounts of the dark optical fiber can be acquired through the historical sensing data, the safety state value of the dark optical fiber at the future moment can be determined according to the change rule, and the safety state value of the dark optical fiber also represents the safety state value of the optical cable well to be tested because the dark optical fiber is deployed below the optical cable well, thereby reflecting the possibility of safety accidents of the optical cable well to be tested. Therefore, if the safety state value of the future moment is greater than or equal to the safety state early warning threshold value of the optical cable tube well to be tested, the safety accident of the optical cable tube well to be tested at the future moment is indicated, and accordingly the first warning information is sent out so that workers can check and process in time. Compared with manual monitoring and implanted chip monitoring in the prior art, the method provided by the application not only realizes full-automatic monitoring, saves labor, does not need to reform optical fibers, saves material resources, and simultaneously also realizes effective prediction of the safety state of the optical fiber tube well at the future moment.
Optionally, when the type of the area corresponding to the dark optical fiber is city, the safety state early warning threshold of the optical cable pipe well to be tested is a first safety state early warning threshold; when the type of the area corresponding to the dark optical fiber is rural, the safety state early warning threshold value of the optical cable well to be tested is a second safety state early warning threshold value; when the type of the area corresponding to the dark optical fiber is suburban, the safety state early warning threshold value of the optical cable pipe well to be tested is a third safety state early warning threshold value; the first safety state early warning threshold value is larger than the second safety state early warning threshold value and larger than the third safety state early warning threshold value.
Optionally, acquiring a temperature value and/or strain quantity of the dark optical fiber at the current moment acquired by the distributed optical fiber sensor; determining a safety state value at the current moment according to the temperature value and/or the strain quantity of the dark optical fiber; if the safety state value at the current moment is greater than or equal to the safety state early warning threshold value of the optical cable pipe well to be tested, generating second warning information, wherein the second warning information is used for indicating that the optical cable pipe well to be tested has a safety accident at the current moment.
Optionally, if the safety state value at the current time is smaller than the safety state value at the future time and the safety state value at the future time is smaller than the safety state early warning threshold of the optical cable well to be tested, notification information is generated, and the notification information is used for indicating that the optical cable well to be tested cannot have a safety accident in a time period from the current time to the future time.
Optionally, the safety state value is a temperature value or a strain amount of the dark fiber.
In a second aspect, the present application further provides a monitoring device for an optical cable tubing well, comprising: the acquisition module is used for acquiring historical sensing data acquired by the distributed optical fiber sensor; the optical fiber sensor comprises a distributed optical fiber sensor, a sensor and a sensor, wherein the distributed optical fiber sensor is arranged on a dark optical fiber, the dark optical fiber is deployed in an optical cable tube well to be measured, historical sensing data comprise temperature values and/or strain amounts of the dark optical fiber at a plurality of moments in the past period, and the strain amounts are used for indicating stretching change amounts of the dark optical fiber; the processing module is used for determining a safety state value at a future moment according to the historical sensing data, wherein the safety state value is used for reflecting the possibility of safety accidents of the optical cable pipe well to be tested; if the safety state value of the future moment is greater than or equal to the safety state early warning threshold value of the optical cable pipe well to be tested, generating first warning information, wherein the first warning information is used for warning staff to notice that the optical cable pipe well to be tested possibly has a safety accident at the future moment.
Optionally, when the type of the area corresponding to the dark optical fiber is city, the safety state early warning threshold of the optical cable pipe well to be tested is a first safety state early warning threshold; when the type of the area corresponding to the dark optical fiber is rural, the safety state early warning threshold value of the optical cable well to be tested is a second safety state early warning threshold value; when the type of the area corresponding to the dark optical fiber is suburban, the safety state early warning threshold value of the optical cable pipe well to be tested is a third safety state early warning threshold value; the first safety state early warning threshold value is larger than the second safety state early warning threshold value and larger than the third safety state early warning threshold value.
Optionally, the acquisition module is further used for acquiring a temperature value and/or a strain quantity of the dark optical fiber at the current moment acquired by the distributed optical fiber sensor;
the processing module is also used for determining a safety state value at the current moment according to the temperature value and/or the strain quantity of the dark optical fiber; if the safety state value at the current moment is greater than or equal to the safety state early warning threshold value of the optical cable pipe well to be tested, generating second warning information, wherein the second warning information is used for indicating that the optical cable pipe well to be tested has a safety accident at the current moment.
Optionally, the processing module is further configured to generate notification information if the security state value at the current time is smaller than the security state value at the future time and the security state value at the future time is smaller than the security state early warning threshold of the optical cable well to be tested, where the notification information is used to indicate that no security accident occurs in the optical cable well to be tested in a time period from the current time to the future time.
Optionally, the safety state value is a temperature value or a strain amount of the dark fiber.
In a third aspect, a monitoring device for a fiber optic cable tubing well is provided, comprising one or more processors and one or more memories; the one or more memories are coupled to the one or more processors, the one or more memories being operable to store computer program code comprising computer instructions which, when executed by the one or more processors, perform the above-described first aspect and optional monitoring method thereof.
In a fourth aspect, there is provided a computer readable storage medium comprising computer instructions which, when run on a computer, implement the first aspect and its optional monitoring method as described above.
The beneficial effects described in the second aspect to the fourth aspect of the present application may refer to the beneficial effect analysis of the first aspect, and are not described herein.
Drawings
FIG. 1 is a schematic diagram of a monitoring system for an optical cable tubing well according to an embodiment of the present application;
FIG. 2 is a flow chart of a method for monitoring a fiber optic cable well according to an embodiment of the present disclosure;
FIG. 3 is a flow chart of another method for monitoring a fiber optic cable tubing well according to an embodiment of the present application;
FIG. 4 is a flow chart of another method for monitoring a fiber optic cable well according to an embodiment of the present application;
FIG. 5 is a schematic diagram of a device for monitoring a cable well according to an embodiment of the present disclosure;
fig. 6 is a schematic hardware structure diagram of a monitoring device for an optical cable well according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
In the description of the present application, "/" means "or" unless otherwise indicated, for example, a/B may mean a or B. "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. Furthermore, "at least one" means one or more, and "a plurality" means two or more. The terms "first," "second," and the like do not limit the number and order of execution, and the terms "first," "second," and the like do not necessarily differ.
In this application, the terms "exemplary" or "such as" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "for example" should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion.
As described in the background art, it is necessary to perform timely safety monitoring on the optical cable tube well, so as to avoid the influence on the normal operation of the optical cable caused by the safety accident of the optical cable tube well. Most of the existing monitoring methods are manual monitoring or monitoring by adding a pipe well electronic tag or monitoring by implanting an intelligent chip into an optical cable, however, the methods often need to additionally reform optical cable facilities, add some radio frequency tags and intelligent chips and the like, consume a great deal of manpower and material resources, only realize monitoring of discrete point positions, and after the reformation is completed, the pipe well structure monitoring still needs to be manually carried out on site to complete the pipe well structure monitoring, various electronic tags also face failure risks, and the increasingly-increased digital monitoring operation and maintenance requirements of optical cable resources cannot be met.
Based on the above problems, the application provides a monitoring method of an optical cable pipe well, by acquiring historical sensing data acquired by a distributed optical fiber sensor on a dark optical fiber, because the historical sensing data comprises temperature values and/or strain amounts of the dark optical fiber at a plurality of moments in the past period of time, the change rule of the temperature values and/or strain amounts of the dark optical fiber can be acquired through the historical sensing data, and then the safety state value of the dark optical fiber at the future moment can be determined according to the change rule, and because the dark optical fiber is deployed below the optical cable pipe well, the safety state value of the dark optical fiber also represents the safety state value of the optical cable pipe well to be tested, so that the possibility of safety accidents of the optical cable pipe well to be tested can be reflected. Therefore, if the safety state value of the future moment is greater than or equal to the safety state early warning threshold value of the optical cable tube well to be tested, the safety accident of the optical cable tube well to be tested at the future moment is indicated, and accordingly the first warning information is sent out so that workers can check and process in time. Compared with manual monitoring and implanted chip monitoring in the prior art, the method provided by the application not only realizes full-automatic monitoring, saves labor, does not need to reform optical fibers, saves material resources, and simultaneously also realizes effective prediction of the safety state of the optical fiber tube well at the future moment.
Fig. 1 shows a system suitable for use with embodiments of the present application, including a distributed fiber optic sensor 100, a dark fiber 200, a fiber optic tubing well 300, and a monitoring device 400. The sensor 100 is disposed on a dark fiber 200, the dark fiber 200 is deployed in a cable well 300, and the monitoring device 400 is connected to the sensor 100.
The distributed optical fiber sensor 100 adopts a distributed optical fiber sensing technology, and can continuously sense (such as temperature, pressure, stress, strain, etc.) along the length direction of the optical fiber by utilizing the transmission characteristic of the optical wave in the optical fiber. The distributed optical fiber sensing technology mainly comprises a distributed sensing technology based on an interference principle and a distributed sensing technology based on scattering mechanisms such as Rayleigh, brillouin scattering and Raman scattering, and the like, and the single or combined use of the technologies can realize high-precision and high-spatial resolution sensing and can realize simultaneous measurement of multiple physical parameters, for example, the distributed optical fiber sensing technology can simultaneously measure temperature and strain. The distributed optical fiber sensor 100 in the embodiment of the present application is applied to a dark optical fiber, and can collect relevant data of the dark optical fiber.
The optical fiber 200 is an optical cable which is laid but not put into use, and the distributed optical fiber sensor 100 is arranged on the optical fiber, so that the influence on the optical fiber which is put into use and carries the service can be avoided.
The cable tubing well 300 is laid with the dark optical fibers 200 and the optical fibers already carrying the service down, and is provided for the purpose of: the optical fiber is convenient for the staff to overhaul and protect.
The monitoring device 400 is used for acquiring sensing data acquired by the sensor and processing and analyzing the sensing data.
In the embodiment of the present application, the distributed optical fiber sensor 100 collects the sensing data of the dark optical fiber 200 and sends the sensing data to the monitoring device 400, and the monitoring device 400 can predict the sensing data of the dark optical fiber 200 at the future time by processing and analyzing the sensing data, and as the dark optical fiber 200 is deployed under the optical cable well 300, the sensing data of the optical cable well 300 can be reflected by the sensing data of the dark optical fiber 200, and thus the safety state of the optical cable well can be monitored.
Embodiments of the present application will be specifically described below with reference to the drawings.
As shown in fig. 2, an embodiment of the present application provides a method for monitoring a fiber optic cable well, which may be applied to the monitoring device 400 described above. The method comprises the following steps:
s101, acquiring historical sensing data acquired by a distributed optical fiber sensor.
Wherein the distributed optical fiber sensor is arranged on a dark optical fiber which is deployed in an optical cable tube well to be tested,
Alternatively, the distributed fibre optic sensor may be a raman scattering based temperature sensor and/or a brillouin scattering based strain sensor. Alternatively, the distributed optical fiber sensor may be a comprehensive sensor integrating a raman scattering function and a brillouin scattering function. The present application is not limited herein.
Optionally, the staff can choose to turn on the raman scattering function and the brillouin scattering function of the distributed optical fiber sensor according to the actual application situation.
Further, for more accurate acquisition of sensing data, the staff can set the resolution and scanning frequency of the distributed fiber sensor.
Exemplary, the temperature resolution in the distributed fiber optic sensor of the embodiments of the present application is 1℃and the strain resolution is 0.1X10% -4 Mu epsilon, the sweep frequency was 10Hz.
Optionally, the historical sensing data includes temperature values and/or strain amounts of the dark fiber at a plurality of times over a period of time, the strain amounts being indicative of an amount of change in stretch of the dark fiber.
Wherein the plurality of moments in time over the past period of time may be artificially set times, e.g., obtaining a temperature value and/or strain amount of the dark fiber for each hour over the past five days,
by way of example, historical sensory data may be as shown in table 1.
TABLE 1
| Time of day | Temperature value |
| 10 month 17 day 0 point | 15℃ |
| … | … |
| 10 month 18 day 0 point | 18℃ |
| … | … |
| 10 month 19 day 0 point | 20℃ |
| … | … |
| 10 month 20 day 0 point | 17℃ |
| … | … |
| 10 month 21 day 0 point | 25℃ |
| … | … |
| 10 months 21 days 24 points | 28℃ |
Because the embodiment of the application adopts the distributed optical fiber sensor, the temperature value and the strain quantity of the long-distance distributed monitoring optical fiber can be realized, thereby avoiding the situation that the optical fiber at a certain place has a safety accident and cannot be monitored by a common sensor.
S102, according to the historical sensing data, determining a safety state value at a future moment.
Alternatively, the future time may be a day or an hour, a minute or even every second in the future.
Optionally, the safety state value is used for reflecting the possibility of safety accidents of the optical cable tube well to be tested.
Further, the safety state value may include a temperature value or a strain amount of the dark fiber.
As a first possible implementation, when the safety state value is a temperature value, the historical sensing data may include temperature values of the dark fiber at a plurality of times over a period of time.
Alternatively, the change amount of the temperature value of the dark optical fiber between the plurality of moments in the past period of time can be determined according to the temperature values of the dark optical fiber at the plurality of moments in the past period of time, and then the temperature value of the dark optical fiber at the future moment can be determined according to the change amount.
For example, the model training may be performed by using, as a sample set, a plurality of moments in the past and temperature values of the dark optical fiber corresponding to the plurality of moments, where the model after the training is a time-temperature model, and the model may automatically output a temperature value corresponding to a certain moment in the future only by inputting the certain moment in the future into the model.
Still another example, the temperature values of the dark fiber at a plurality of times over a period of time are shown in table 2.
TABLE 2
| Time of day | Temperature value |
| 10 months, 17 days and 12 points | 20℃ |
| 10 months, 17 days and 18 points | 25℃ |
| 10 month 18 day 0 point | 30℃ |
| 10 months and 18 days 6 points | 34℃ |
| 12 points on 10 months and 18 days | 39℃ |
| 18 days of 10 months 18 points | 45℃ |
| 10 month 19 day 0 point | 56℃ |
As is clear from Table 2, the temperature value of the dark fiber was gradually increased from day 10 to day 17 to day 10 to day 19, and the increase was about 5℃to determine that the temperature at 12 points 10 to day 19 was about 66℃in the future.
As a second possible implementation, if the safety state value is a strain amount, the historical sensing data includes strain amounts of the dark fiber at a plurality of times over a period of time.
Alternatively, the strain amount change of the dark optical fiber between the plurality of moments in the past period of time can be determined according to the strain amounts of the dark optical fiber at the plurality of moments in the past period of time, and the strain amount of the dark optical fiber at the future moment can be determined according to the strain amount change.
For example, the strain quantity of the dark optical fiber corresponding to a plurality of moments in the past period of time can be used as a sample set to perform model training, the model after training is a time-strain quantity model, and the strain quantity corresponding to a certain moment in the future can be automatically output by only inputting the certain moment in the future into the model.
Still another example, the amount of strain in the dark fiber at various times over a period of time is shown in table 3.
TABLE 3 Table 3
| Time of day | Strain amount |
| 10 months, 17 days and 12 points | 10με |
| 10 months, 17 days and 18 points | 12με |
| 10 month 18 day 0 point | 15με |
| 10 months and 18 days 6 points | 19με |
| 12 points on 10 months and 18 days | 24με |
| 18 days of 10 months 18 points | 30με |
| 10 month 19 day 0 point | 37με |
As is clear from Table 3, the strain amount of the dark fiber was gradually increased from day 10 to day 17 to day 10 to day 19, and the increase was in the form of an arithmetic progression, whereby it was confirmed that the strain at 12 points from day 10 to day 19 was 54. Mu.. Epsilon.
As a third possible implementation, if the safety state value is a temperature value and a strain amount, the historical sensing data includes the temperature value and the strain amount of the dark fiber at a plurality of times in the past period of time.
Optionally, according to the temperature values and the strain amounts of the dark optical fibers at a plurality of moments in the past period of time, the temperature value change amounts and the strain amount change amounts of the dark optical fibers between the plurality of moments in the past period of time can be determined, and further, the temperature values and the strain amounts of the dark optical fibers at the future moment are respectively determined according to the temperature value change amounts and the strain amount change amounts.
For example, the model training can be performed by taking a plurality of moments in the past period and the temperature value strain quantity of the dark optical fiber corresponding to the moments as sample sets, the trained model is a time-temperature model and a time-strain quantity model, only a certain moment in the future is needed to be input into the model, and the model can automatically output the temperature value and the strain quantity corresponding to the certain moment in the future.
Still another example, the temperature values and the strain amounts of the dark fiber at a plurality of times over a period of time are shown in table 4.
TABLE 4 Table 4
| Time of day | Temperature value | Strain amount |
| 10 months, 17 days and 12 points | 20℃ | 10με |
| 10 months, 17 days and 18 points | 21℃ | 12με |
| 10 month 18 day 0 point | 18℃ | 15με |
| 10 months and 18 days 6 points | 19℃ | 19με |
| 12 points on 10 months and 18 days | 22℃ | 24με |
| 18 days of 10 months 18 points | 22℃ | 30με |
| 10 month 19 day 0 point | 21℃ | 37με |
As is clear from Table 4, the temperature value of the dark fiber was varied from 10 months 17 to 10 months 19, and was about 20℃at all times, so that it was confirmed that the temperature value at 12 points of 10 months 19 was also about 20℃in the future. The strain of the dark fiber is gradually increased from day 10 to day 17 to day 10 to day 19, and the increase is in an arithmetic progression, so that it can be determined that the strain at the future point of day 10 to day 19 is about 54. Mu.. Epsilon.
As a fourth possible implementation manner, if the security state value is a preset parameter, the historical sensing data may include temperature values and strain values of the dark fiber at a plurality of moments in the past period of time.
Optionally, taking the temperature values and the strain values of the dark optical fibers at a plurality of moments in the past period as a sample set, performing model training, wherein the trained model is a moment-safety state value model, and the model can automatically output the safety state value corresponding to a certain moment in the future only by inputting the certain moment in the future into the model.
It should be appreciated that the higher the safety state value, the higher the likelihood of a safety accident occurring in the cable pit under test.
S103, if the safety state value of the future moment is greater than or equal to the safety state early warning threshold value of the optical cable well to be tested, generating first warning information.
The first alarm information is used for warning staff to pay attention to the fact that safety accidents possibly occur in the optical cable tube well to be tested at future time.
Optionally, the safety state early warning threshold of the optical cable well to be tested refers to a maximum temperature value and/or strain quantity of the optical cable well to be tested which can normally work, and once the safety state value of the optical cable well to be tested exceeds the safety state early warning threshold, the safety accident of the optical cable well to be tested is represented.
Optionally, the monitoring device can select a safety state early warning threshold of the optical cable well to be tested according to the actual application environment of the dark optical fiber.
Optionally, the security state early warning threshold is related to a region type of the region where the dark fiber is located.
The method comprises the steps that when the type of an area corresponding to the dark optical fiber is city, the safety state early warning threshold value of an optical cable pipe well to be tested is a first safety state early warning threshold value; when the type of the area corresponding to the dark optical fiber is rural, the safety state early warning threshold value of the optical cable well to be tested is a second safety state early warning threshold value; when the type of the area corresponding to the dark optical fiber is suburban, the safety state early warning threshold value of the optical cable pipe well to be tested is a third safety state early warning threshold value; the first safety state early warning threshold value is larger than the second safety state early warning threshold value and larger than the third safety state early warning threshold value.
Based on the possible implementation manner, because the communication requirement of the city is larger, the number of the laid optical fibers is also larger, if the safety state early warning threshold value is set smaller, the monitoring device can continuously warn, so that the area type is set as large as possible on the basis of ensuring that no major safety accident occurs in the optical cable tube well to be tested, and the labor is saved. Correspondingly, the safety state early warning threshold value of the region type corresponding to the dark optical fiber in rural areas is larger than the safety state early warning threshold value of the region type corresponding to the dark optical fiber in suburban areas.
Optionally, the security state pre-warning threshold is related to population concentration in the area where the dark fiber is located.
The safety state early warning threshold value of the optical cable tube well to be tested is a first safety state early warning threshold value when the population density of the area where the dark optical fiber is located is more than or equal to 500 people/square kilometers; when the population density of the area where the dark optical fiber is positioned is more than 100 people/square kilometers and less than 500 people/square kilometers, the safety state early warning threshold value of the optical cable pipe well to be tested is a second safety state early warning threshold value; when the population density of the dark fiber pair in the area is less than or equal to 100 people/square kilometer, the safety state early warning threshold of the optical cable pipe well to be tested is a third safety state early warning threshold; the first safety state early warning threshold value is larger than the second safety state early warning threshold value and larger than the third safety state early warning threshold value.
Based on the possible implementation manner, because the population concentration is large in the area, the communication demand is also large, and therefore, the paved optical fibers are correspondingly large, if the safety state early warning threshold value is set smaller, the monitoring device can continuously warn, so that the safety state early warning threshold value of the area with large population concentration is set as large as possible on the basis of ensuring that no major safety accident occurs in the optical cable tube well to be tested, and the labor is saved.
Optionally, when the safety state value at the future time is a temperature value, the safety state early warning threshold is a temperature early warning threshold; when the safety state value at the future moment is the dependent variable, the safety state early warning threshold value is the dependent variable early warning threshold value; when the safety state value at the future moment is the safety state parameter calculated according to the temperature values and the stress values of the dark optical fibers at a plurality of moments in the past period and a preset algorithm, the safety state early warning threshold is the preset safety state early warning threshold.
Optionally, after the monitoring device generates the first alarm information, the monitoring device sends the first alarm information to the terminal device of the staff, so that the staff can check and process the first alarm information in time after receiving the first alarm information.
For example, as shown in table 2, if the current time is 10 months, 19 days and 0 points, it can be determined according to table 2 that the temperature value at the time of 10 months, 20 days and 0 points is about 71 ℃, and if the safety state early warning threshold is 70 ℃, the monitoring device will send out the first warning information at the time of 10 months, 19 days and 0 points, where the first warning information is used for warning the staff that the cable tube well to be tested may have a safety accident at the time of 10 months, 20 days and 0 points.
Based on the above embodiment, by acquiring the historical sensing data acquired by the distributed optical fiber sensor on the dark optical fiber, since the historical sensing data includes the temperature values and/or the strain amounts of the dark optical fiber at a plurality of moments in the past period of time, the change rule of the temperature values and/or the strain amounts of the dark optical fiber can be acquired through the historical sensing data, and then the safety state value of the dark optical fiber at the future moment can be determined according to the change rule, and since the dark optical fiber is deployed under the optical cable well, the safety state value of the dark optical fiber also represents the safety state value of the optical cable well to be tested, thereby reflecting the possibility of the occurrence of a safety accident of the optical cable well to be tested. Therefore, if the safety state value of the future moment is greater than or equal to the safety state early warning threshold value of the optical cable tube well to be tested, the safety accident of the optical cable tube well to be tested at the future moment is indicated, and accordingly the first warning information is sent out so that workers can check and process in time. Compared with manual monitoring and implanted chip monitoring in the prior art, the method provided by the application not only realizes full-automatic monitoring, saves labor, does not need to reform optical fibers, saves material resources, and simultaneously also realizes effective prediction of the safety state of the optical fiber tube well at the future moment.
The embodiment of the application also provides a method for monitoring the optical cable pipe well, as shown in fig. 3, the method further comprises:
s201, acquiring a temperature value and/or strain quantity of the dark optical fiber at the current moment acquired by the distributed sensor.
For example, the current time is 12 points on day 22 of 10 months, and the temperature value of the dark optical fiber collected by the distributed sensor is 25 ℃.
S202, determining a safety state value at the current moment according to the temperature value and/or the strain quantity of the dark optical fiber.
Optionally, the safety state value at the current moment may be a temperature value or a strain amount or a temperature value and a strain amount of the dark optical fiber or a parameter calculated by a preset algorithm according to the temperature value and the strain amount.
For example, when the temperature value of the dark fiber at the current moment is 25 ℃ and the strain amount is 24 mu epsilon, the safety state value can be 25, 24 or 25 and 24 respectively. Of course, if the preset algorithm is a weighted average algorithm, the safety state value may also be 24.5.
S203, if the safety state value at the current moment is greater than or equal to the safety state early warning threshold value of the optical cable well to be tested, generating second warning information.
The second alarm information is used for indicating that the optical cable pipe well to be tested has a safety accident at the current moment.
For example, if the safety precaution threshold is 50 ℃, and the safety state value at the current moment is 55, it is visible that 55 is more than 50, and the second warning information is generated.
Based on the embodiment, the safety state value at the current moment is obtained, if the safety state value at the current moment is larger than the safety state early warning threshold value, the safety accident of the optical cable tube well to be tested at the current moment is indicated, so that the staff can go to the maintenance in time.
Based on the embodiments described in fig. 2 and 3, the embodiment of the present application further provides a method for monitoring a cable tubing well, after being applied to steps S102 and S202, as shown in fig. 4, the method further includes:
s301, if the safety state value at the current moment is smaller than the safety state value at the future moment and the safety state value at the future moment is smaller than the safety state early warning threshold value of the optical cable pipe well to be tested, generating notification information.
The notification information is used for indicating that the optical cable tube well to be tested cannot have safety accidents in a time period from the current moment to the future moment.
For example, if the current time is 10 months, 20 days, 12, the safety state value at this time is 15, the safety state value at 10 months, 22 days, 12, determined by the temperature value and the strain amount of the dark fiber at a plurality of times in the past period of time is 40, and the safety state early warning threshold is 55. It can be seen that 15 < 40 < 55, so that notification information is generated, wherein the notification information is used for indicating that the safety accident of the optical cable tube well to be tested cannot happen in the time period from 10 months, 20 days, 12 to 10 months, 22 days, 12.
It should be understood that the order of execution of the steps S103, S203, S301 is not limited.
Based on the above embodiment, if the safety state value at the current time is smaller than the safety state value at the future time and the safety state value at the future time is smaller than the safety state early warning threshold of the optical cable pipe well to be tested, because the safety state value at the current time and the safety state value at the future time are both smaller than the safety state early warning threshold, it indicates that no safety accident occurs in the optical cable pipe well to be tested in the time period from the current time to the future time.
It can be seen that the foregoing description of the solution provided by the embodiments of the present application has been presented mainly from a method perspective. In order to achieve the above functions, the monitoring device of the optical cable pipe well comprises a hardware structure and/or a software module which perform the corresponding functions. Those of skill in the art will readily appreciate that the various illustrative modules and algorithm steps described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is implemented as hardware or computer software driven hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The embodiment of the application may divide the functional modules of the monitoring device according to the above method example, for example, each functional module may be divided corresponding to each function, or two or more functions may be integrated into one processing module. The integrated modules may be implemented in hardware or in software functional modules. Optionally, the division of the modules in the embodiments of the present application is schematic, which is merely a logic function division, and other division manners may be actually implemented.
As shown in fig. 5, an embodiment of the present application provides a schematic structural diagram of a monitoring device for an optical cable tubing well. The control device includes: an acquisition module 501 and a processing module 502.
The acquisition module 501 is configured to acquire historical sensing data acquired by the distributed sensor; the optical cable well to be measured is provided with a distributed sensor, wherein the distributed sensor is arranged on a dark optical fiber, the dark optical fiber is deployed in the optical cable well to be measured, and historical sensing data comprise temperature values and/or strain amounts of the dark optical fiber at a plurality of moments in the past period of time, wherein the strain amounts are used for indicating stretching change amounts of the dark optical fiber;
the processing module 502 is configured to determine a safety state value at a future time according to the historical sensing data, where the safety state value is used to reflect a possibility of a safety accident occurring in the optical cable pipe well to be tested; if the safety state value of the future moment is greater than or equal to the safety state early warning threshold value of the optical cable pipe well to be tested, generating first warning information, wherein the first warning information is used for warning staff to notice that the optical cable pipe well to be tested possibly has a safety accident at the future moment.
Optionally, when the type of the area corresponding to the dark optical fiber is city, the safety state early warning threshold of the optical cable pipe well to be tested is a first safety state early warning threshold; when the type of the area corresponding to the dark optical fiber is rural, the safety state early warning threshold value of the optical cable well to be tested is a second safety state early warning threshold value; when the type of the area corresponding to the dark optical fiber is suburban, the safety state early warning threshold value of the optical cable pipe well to be tested is a third safety state early warning threshold value; the first safety state early warning threshold value is larger than the second safety state early warning threshold value and larger than the third safety state early warning threshold value.
Optionally, the obtaining module 501 is further configured to obtain a temperature value and/or a strain amount of the dark fiber at the current moment, which are collected by the distributed sensor;
the processing module 502 is further configured to determine a safety state value at the current moment according to the temperature value and/or the strain amount of the dark fiber; if the safety state value at the current moment is greater than or equal to the safety state early warning threshold value of the optical cable pipe well to be tested, generating second warning information, wherein the second warning information is used for indicating that the optical cable pipe well to be tested has a safety accident at the current moment.
Optionally, the processing module 502 is further configured to generate notification information if the security status value at the current time is smaller than the security status value at the future time and the security status value at the future time is smaller than the security status pre-warning threshold of the optical cable well to be tested, where the notification information is used to indicate that no security accident occurs in the optical cable well to be tested in a time period from the current time to the future time.
Optionally, the safety state value is a temperature value or a strain amount of the dark fiber.
As shown in fig. 6, the present application further provides a hardware structure schematic 60 of a monitoring device for an optical cable well, including a processor 601 and a memory 602. Optionally, the processor 601 and the memory 602 are connected via a bus 603.
The processor 601 may be a central processing unit (central processing unit, CPU), a general purpose processor network processor (network processor, NP), a digital signal processor (digital signal processing, DSP), a microprocessor, a microcontroller, a programmable logic device (programmable logic device, PLD), or any combination thereof. The processor may also be any other means for performing a processing function, such as a circuit, device, or software module. Processor 601 may also include multiple CPUs, and processor 601 may be a single-Core (CPU) processor or a multi-core (multi-CPU) processor. A processor herein may refer to one or more devices, circuits, or processing cores for processing data (e.g., computer program instructions).
The memory 602 may be a read-only memory (ROM) or other type of static storage device, a random access memory (random access memory, RAM) or other type of dynamic storage device that may store static information and instructions, or an electrically erasable programmable read-only memory (electrically erasable programmable read-only memory, EEPROM), a compact disc read-only memory (compact disc read-only memory) or other optical disk storage, optical disk storage (including compact disc, laser disc, optical disc, digital versatile disc, blu-ray disc, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, as the embodiments of the present application are not limited in this regard. The memory 602 may be separate or integrated with the processor 601. Wherein the memory 602 may contain computer program code. The processor 601 is configured to execute computer program code stored in the memory 602, thereby implementing the methods provided by the embodiments of the present application.
The embodiment of the invention also provides a computer readable storage medium, which comprises computer execution instructions, when the computer execution instructions run on a computer, cause the computer to execute the monitoring method provided in the embodiment.
The embodiment of the invention also provides a computer program product which can be directly loaded into a memory and contains software codes, and the computer program product can realize the monitoring method provided by the embodiment after being loaded and executed by a computer.
In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using a software program, it may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer-executable instructions. When the computer-executable instructions are loaded and executed on a computer, the processes or functions described in accordance with embodiments of the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer-executable instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer-executable instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wired (e.g., coaxial, optical fiber, digital subscriber line (digital subscriber line, DSL), or wireless (e.g., infrared, wireless, microwave, etc.) means, for example, the computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device containing one or more servers, data centers, etc., that can be integrated with a medium, for example, a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid state disk, SSD)), etc.
Although the present application has been described herein in connection with various embodiments, other variations to the disclosed embodiments can be understood and effected by those skilled in the art in practicing the claimed application, from a review of the figures, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other elements or steps, and the "a" or "an" does not exclude a plurality. A single processor or other unit may fulfill the functions of several items recited in the claims. The mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measures cannot be used to advantage.
Although the present application has been described in connection with specific features and embodiments thereof, it will be apparent that various modifications and combinations can be made without departing from the spirit and scope of the application. Accordingly, the specification and drawings are merely exemplary illustrations of the present application as defined in the appended claims and are considered to cover any and all modifications, variations, combinations, or equivalents that fall within the scope of the present application.
The foregoing is merely a specific embodiment of the present application, but the protection scope of the present application is not limited thereto, and any changes or substitutions within the technical scope of the present disclosure should be covered in the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A method of monitoring a fiber optic tubing well, the method comprising:
acquiring historical sensing data acquired by a distributed optical fiber sensor; the distributed optical fiber sensor is arranged on a dark optical fiber, the dark optical fiber is deployed in an optical cable tube well to be tested, the historical sensing data comprise temperature values and/or strain amounts of the dark optical fiber at a plurality of moments in the past period of time, and the strain amounts are used for indicating the stretching variation amounts of the dark optical fiber;
according to the historical sensing data, determining a safety state value at a future moment, wherein the safety state value is used for reflecting the possibility of safety accidents of the optical cable pipe well to be tested; when the type of the area corresponding to the dark optical fiber is city, the safety state early warning threshold value of the optical cable pipe well to be tested is a first safety state early warning threshold value; when the type of the area corresponding to the dark optical fiber is rural, the safety state early warning threshold of the optical cable pipe well to be tested is a second safety state early warning threshold; when the type of the area corresponding to the dark optical fiber is suburban, the safety state early warning threshold value of the optical cable pipe well to be tested is a third safety state early warning threshold value; wherein the first safety state early warning threshold > the second safety state early warning threshold > the third safety state early warning threshold;
If the safety state value of the future moment is greater than or equal to the safety state early warning threshold value of the optical cable tube well to be tested, generating first warning information, wherein the first warning information is used for warning staff to notice that the optical cable tube well to be tested possibly has a safety accident at the future moment.
2. The method according to claim 1, wherein the method further comprises:
acquiring a temperature value and/or strain quantity of the dark optical fiber at the current moment acquired by the distributed optical fiber sensor;
determining a safety state value at the current moment according to the temperature value and/or the strain quantity of the dark optical fiber;
and if the safety state value at the current moment is greater than or equal to the safety state early warning threshold value of the optical cable pipe well to be tested, generating second warning information, wherein the second warning information is used for indicating that the optical cable pipe well to be tested has a safety accident at the current moment.
3. The method according to claim 2, wherein the method further comprises:
if the safety state value at the current moment is smaller than the safety state value at the future moment and the safety state value at the future moment is smaller than the safety state early warning threshold value of the optical cable pipe well to be tested, generating notification information, wherein the notification information is used for indicating that the optical cable pipe well to be tested cannot have safety accidents in a time period from the current moment to the future moment.
4. The method of claim 1, wherein the safety state value is a temperature value or a strain amount of the dark fiber.
5. A device for monitoring a fiber optic cable well, the device comprising:
the acquisition module is used for acquiring historical sensing data acquired by the distributed optical fiber sensor; the distributed optical fiber sensor is arranged on a dark optical fiber, the dark optical fiber is deployed in an optical cable tube well to be tested, the historical sensing data comprise temperature values and/or strain amounts of the dark optical fiber at a plurality of moments in the past period of time, and the strain amounts are used for indicating the stretching variation amounts of the dark optical fiber; when the type of the area corresponding to the dark optical fiber is city, the safety state early warning threshold value of the optical cable pipe well to be tested is a first safety state early warning threshold value; when the type of the area corresponding to the dark optical fiber is rural, the safety state early warning threshold of the optical cable pipe well to be tested is a second safety state early warning threshold; when the type of the area corresponding to the dark optical fiber is suburban, the safety state early warning threshold value of the optical cable pipe well to be tested is a third safety state early warning threshold value; wherein the first safety state early warning threshold > the second safety state early warning threshold > the third safety state early warning threshold;
The processing module is used for determining a safety state value at a future moment according to the historical sensing data, wherein the safety state value is used for reflecting the possibility of safety accidents of the optical cable pipe well to be tested; if the safety state value of the future moment is greater than or equal to the safety state early warning threshold value of the optical cable tube well to be tested, generating first warning information, wherein the first warning information is used for warning staff to notice that the optical cable tube well to be tested possibly has a safety accident at the future moment.
6. The apparatus of claim 5, wherein the device comprises a plurality of sensors,
the acquisition module is further used for acquiring the temperature value and/or the strain quantity of the dark optical fiber at the current moment acquired by the distributed optical fiber sensor;
the processing module is further used for determining a safety state value at the current moment according to the temperature value and/or the strain quantity of the dark optical fiber; and if the safety state value at the current moment is greater than or equal to the safety state early warning threshold value of the optical cable pipe well to be tested, generating second warning information, wherein the second warning information is used for indicating that the optical cable pipe well to be tested has a safety accident at the current moment.
7. The apparatus of claim 6, wherein the device comprises a plurality of sensors,
The processing module is further configured to generate notification information if the security state value at the current time is smaller than the security state value at the future time and the security state value at the future time is smaller than a security state early warning threshold of the optical cable well to be tested, where the notification information is used to indicate that no security accident occurs in the optical cable well to be tested in a time period from the current time to the future time.
8. The apparatus of claim 5, wherein the safety state value is a temperature value or a strain amount of the dark fiber.
9. A monitoring device for an optical cable tubing well, comprising: one or more processors and one or more memories;
the one or more memories being coupled to the one or more processors, the one or more memories being for storing computer program code comprising computer instructions which, when executed by the one or more processors in real time, perform the method of any of claims 1 to 4.
10. A computer readable storage medium comprising computer instructions which, when run on a computer, cause the computer to perform the method of any one of claims 1 to 4.
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