CN114034407A - Optical cable tube well monitoring method and device and computer readable storage medium - Google Patents
Optical cable tube well monitoring method and device and computer readable storage medium Download PDFInfo
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- CN114034407A CN114034407A CN202111272415.0A CN202111272415A CN114034407A CN 114034407 A CN114034407 A CN 114034407A CN 202111272415 A CN202111272415 A CN 202111272415A CN 114034407 A CN114034407 A CN 114034407A
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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 for an optical cable tube 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 tube well in real time. The method comprises the following steps: 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 arranged in an optical cable tube well to be measured, historical sensing data comprises temperature values and/or dependent variables of the dark optical fiber at a plurality of moments in a past period of time, and the dependent variables are used for indicating stretching variation of the dark optical fiber; determining a safety state value at a future moment according to historical sensing data, wherein the safety state value is used for reflecting the possibility of safety accidents of the optical cable tube well to be tested; and if the safety state value at the future moment is greater than or equal to the safety state early warning threshold value of the optical cable tube well to be detected, generating first warning information, wherein the first warning information is used for warning workers to pay attention to safety accidents of the optical cable tube well to be detected at the future moment.
Description
Technical Field
The application relates to the technical field of safety monitoring, in particular to a method and a device for monitoring an optical cable tube well and a computer readable storage medium.
Background
The optical fiber communication facility is an important component of new capital construction, is a basic guarantee for future massive novel information application, and at present, large-scale optical fiber infrastructure is laid by telecommunication operators in China for supporting digital transformation of society.
In order to facilitate the maintenance and protection of the optical fiber, an optical fiber cable tube well is often arranged on the optical fiber circuit. However, with the increase of the total mileage of optical fiber construction, the construction standards of the optical cable tube well are not uniform, the laying environment is more and more complex, and with the increase of the service time of the optical cable tube well structure, the optical cable tube well structure will suffer from the adverse effects of aging and deterioration of the structure, even earthquake deformation, adjacent pipeline leakage and other events, and the structural damage of the optical cable tube well which is accumulated continuously will be a hidden danger of the optical cable safety work, so that the optical cable tube well needs to be monitored in time.
Disclosure of Invention
The application provides a monitoring method and device for an optical cable tube well and a computer readable storage medium, which can monitor the safety state of the optical cable tube well in real time so as to remind workers of paying attention to maintenance.
In a first aspect, a method for monitoring a fiber optic cable tube well is provided, 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 arranged in an optical cable tube well to be measured, historical sensing data comprises temperature values and/or dependent variables of the dark optical fiber at a plurality of moments in a past period of time, and the dependent variables are used for indicating stretching variation of the dark optical fiber; determining a safety state value at a future moment according to historical sensing data, wherein the safety state value is used for reflecting the possibility of safety accidents of the optical cable tube well to be tested; and if the safety state value at the future moment is greater than or equal to the safety state early warning threshold value of the optical cable tube well to be detected, generating first warning information, wherein the first warning information is used for warning workers to pay attention to safety accidents of the optical cable tube well to be detected at the future moment.
The technical scheme provided by the application at least brings the following beneficial effects: the historical sensing data collected by the distributed optical fiber sensor on the dark optical fiber is obtained, the historical sensing data comprise temperature values and/or strain quantities of the dark optical fiber at a plurality of moments in the past period, the change rule of the temperature values and/or the strain quantities of the dark optical fiber can be obtained 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. Therefore, if the safety state value at the future moment is greater than or equal to the safety state early warning threshold value of the optical cable tube well to be detected, it is indicated that safety accidents may occur to the optical cable tube well to be detected at the future moment, and therefore the staff can check and process the safety accidents in time by sending out the first warning information. Compared with manual monitoring and chip implantation monitoring in the prior art, the method provided by the application not only realizes full-automatic monitoring and saves manpower, but also does not need to modify the optical fiber, saves material resources, and simultaneously realizes effective prediction of the safety state of the optical cable tube well at the future time.
Optionally, when the area type corresponding to the dark optical fiber is a city, the safety state early warning threshold of the optical cable tube well to be detected is a first safety state early warning threshold; when the area type corresponding to the dark optical fiber is rural, the safety state early warning threshold value of the optical cable tube well to be detected is a second safety state early warning threshold value; when the area type corresponding to the hidden optical fiber is suburban, the safety state early warning threshold value of the optical cable tube well to be detected 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 a dependent variable of the dark fiber at the current moment, which are acquired by the distributed fiber sensor; determining a safety state value at the current moment according to the temperature value and/or the dependent variable 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 tube well to be detected, generating second warning information, wherein the second warning information is used for indicating that a safety accident has occurred to the optical cable tube well to be detected at the current moment.
Optionally, 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 of the optical cable tube well to be tested, notification information is generated, and the notification information is used for indicating that no safety accident occurs to the optical cable tube well to be tested in the time period from the current moment to the future moment.
Optionally, the safety state value is a temperature value or a dependent variable of the dark fiber.
In a second aspect, the present application further provides a monitoring device for a fiber optic cable tube well, 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 arranged in an optical cable tube well to be measured, historical sensing data comprises temperature values and/or dependent variables of the dark optical fiber at a plurality of moments in a past period of time, and the dependent variables are used for indicating stretching variation of the dark optical fiber; the processing module is used for determining a safety state value at a future moment according to historical sensing data, and the safety state value is used for reflecting the possibility of safety accidents of the optical cable tube well to be tested; and if the safety state value at the future moment is greater than or equal to the safety state early warning threshold value of the optical cable tube well to be detected, generating first warning information, wherein the first warning information is used for warning workers to pay attention to safety accidents of the optical cable tube well to be detected at the future moment.
Optionally, when the area type corresponding to the dark optical fiber is a city, the safety state early warning threshold of the optical cable tube well to be detected is a first safety state early warning threshold; when the area type corresponding to the dark optical fiber is rural, the safety state early warning threshold value of the optical cable tube well to be detected is a second safety state early warning threshold value; when the area type corresponding to the hidden optical fiber is suburban, the safety state early warning threshold value of the optical cable tube well to be detected 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 is further configured to obtain a temperature value and/or a dependent variable of the dark fiber at the current time, which are collected by the distributed optical fiber sensor;
the processing module is also used for determining the safety state value at the current moment according to the temperature value and/or the dependent variable 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 tube well to be detected, generating second warning information, wherein the second warning information is used for indicating that a safety accident has occurred to the optical cable tube well to be detected at the current moment.
Optionally, the processing module is further configured to generate notification information if the current safety state value is smaller than the future safety state value and the future safety state value is smaller than the safety state early warning threshold of the optical cable tubular well to be tested, where the notification information is used to indicate that no safety accident occurs in the optical cable tubular well to be tested in the time period from the current time to the future time.
Optionally, the safety state value is a temperature value or a dependent variable of the dark fiber.
In a third aspect, there is provided a cable tube well monitoring device comprising one or more processors and one or more memories; one or more memories are coupled to the one or more processors, the one or more memories storing computer program code comprising computer instructions which, when executed by the one or more processors, cause the monitoring apparatus to perform the 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 in the present application may refer to the beneficial effect analysis of the first aspect, and are not described herein again.
Drawings
Fig. 1 is a schematic view of a cable tube well monitoring system according to an embodiment of the present disclosure;
fig. 2 is a flowchart of a method for monitoring a fiber optic cable tube well according to an embodiment of the present disclosure;
FIG. 3 is a flow chart of another method for monitoring a fiber optic cable tube well according to an embodiment of the present disclosure;
FIG. 4 is a flow chart of another method for monitoring a fiber optic cable tube well according to an embodiment of the present disclosure;
fig. 5 is a schematic composition diagram of a cable tube well monitoring device according to an embodiment of the present disclosure;
fig. 6 is a schematic hardware structure diagram of a monitoring device for a fiber optic cable tube well according to an embodiment of the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In the description of this application, "/" means "or" unless otherwise stated, for example, A/B may mean A or B. "and/or" herein is merely an association describing an associated object, and means that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. Further, "at least one" means one or more, "a plurality" means two or more. The terms "first", "second", and the like do not necessarily limit the number and execution order, and the terms "first", "second", and the like do not necessarily limit the difference.
It is noted that, in the present application, words such as "exemplary" or "for example" are used to mean exemplary, illustrative, or descriptive. Any embodiment or design described herein as "exemplary" or "e.g.," is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present concepts related in a concrete fashion.
As described in the background, there is a need for timely and safe monitoring of an optical cable well to avoid safety accidents occurring in the optical cable well from affecting the normal operation of the optical cable. Most of the existing monitoring methods are manual monitoring or monitoring by adding a tube well electronic tag or monitoring by implanting an intelligent chip into an optical cable, but such methods often need to additionally transform an optical cable facility, some radio frequency tags, intelligent chips and the like are added, a large amount of manpower and material resources are consumed, monitoring of discrete point positions can only be realized, after transformation is completed, manual on-site routing inspection is still needed to complete tube well structure monitoring, various electronic tags can face failure risks, and the increasing digital monitoring operation and maintenance requirements of optical cable resources cannot be met.
Based on the above problems, the present application provides a method for monitoring an optical cable tube well, which includes acquiring historical sensing data acquired by a distributed optical fiber sensor on a buried optical fiber, wherein the historical sensing data includes temperature values and/or strain quantities of the buried optical fiber at a plurality of moments in a past period, and acquiring a change rule of the temperature values and/or the strain quantities of the buried optical fiber through the historical sensing data, so as to determine a safety state value of the buried optical fiber at a future moment according to the change rule. Therefore, if the safety state value at the future moment is greater than or equal to the safety state early warning threshold value of the optical cable tube well to be detected, it is indicated that safety accidents may occur to the optical cable tube well to be detected at the future moment, and therefore the staff can check and process the safety accidents in time by sending out the first warning information. Compared with manual monitoring and chip implantation monitoring in the prior art, the method provided by the application not only realizes full-automatic monitoring and saves manpower, but also does not need to modify the optical fiber, saves material resources, and simultaneously realizes effective prediction of the safety state of the optical cable tube well at the future time.
Fig. 1 shows a system to which embodiments of the present application are applicable, the system comprising a distributed fiber optic sensor 100, a dark fiber 200, a fiber optic cable tube well 300, and a monitoring device 400. Sensor 100 is disposed on dark fiber 200, dark fiber 200 is disposed in fiber optic cable tube well 300, and monitoring device 400 is connected to sensor 100.
The distributed optical fiber sensor 100 employs a distributed optical fiber sensing technology, and can continuously sense and measure (such as temperature, pressure, stress, strain, and the like) along the length direction of an optical fiber by using the transmission characteristic of light waves in the optical fiber. The distributed optical fiber sensing technology mainly comprises distributed sensing technology based on interference principle and distributed sensing technology based on scattering mechanisms such as Rayleigh scattering, Brillouin scattering and Raman scattering, and the technologies can be used alone or in combination to realize high-precision and high-spatial-resolution sensing and simultaneous measurement of multiple physical parameters, such as 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 dark fiber 200 refers to an optical cable which is laid but not put into use, and the distributed optical fiber sensor 100 is arranged on the dark fiber, so that the optical fiber which is put into use and carries services can be prevented from being affected.
The optical cable tube well 300 is paved with the hidden optical fiber 200 and the optical fiber which already carries the service, and the purpose of arranging the optical cable tube well is as follows: the optical fiber is convenient for workers to overhaul and protect the optical fiber.
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 fiber 200 and sends the sensing data to the monitoring device 400, the monitoring device 400 processes and analyzes the sensing data to predict the sensing data of the dark fiber 200 at a future time, and since the dark fiber 200 is deployed under the optical cable tube well 300, the sensing data of the optical cable tube well 300 can be reflected by the sensing data of the dark fiber 200, so as to monitor the safety state of the optical cable tube well.
The embodiments of the present application will be specifically described below with reference to the accompanying drawings.
As shown in fig. 2, the present embodiment provides a method for monitoring a fiber optic cable tube well, which may be applied to the monitoring device 400. The method comprises the following steps:
s101, acquiring historical sensing data acquired by the distributed optical fiber sensor.
Wherein, the distributed optical fiber sensor is arranged on the dark optical fiber which is arranged in the optical cable tube well to be measured,
alternatively, the distributed fibre optic sensor may be a temperature sensor based on raman scattering, and/or a strain sensor based on brillouin scattering. Alternatively, the distributed optical fiber sensor may be an integrated sensor integrating the raman scattering function and the brillouin scattering function. The present application is not limited thereto.
Optionally, the worker may select to start the raman scattering function and the brillouin scattering function of the distributed optical fiber sensor according to the actual application situation.
Further, in order to collect the sensing data more accurately, the staff can set the resolution and the scanning frequency of the distributed optical fiber sensor.
Illustratively, the temperature resolution in the distributed optical fiber sensor of the embodiment of the application is 1 ℃, and the strain resolution is 0.1 × 10-4Mu ε, the scanning frequency is 10 Hz.
Optionally, the historical sensing data includes temperature values and/or strain quantities of the dark fiber at a plurality of times in a past period of time, and the strain quantities are used for indicating the stretching variation quantity of the dark fiber.
Wherein the plurality of moments in the past period of time may be artificially set times, for example, obtaining the temperature value and/or the dependent variable of the dark fiber in each hour in the past five days,
illustratively, the historical sensory data may be as shown in table 1.
TABLE 1
| Time of day | Temperature value |
| 0 point of 10 months and 17 days | 15℃ |
| … | … |
| 0 point of 10 months and 18 days | 18℃ |
| … | … |
| 0 point of 10 months and 19 days | 20℃ |
| … | … |
| 0 point of 10 months and 20 days | 17℃ |
| … | … |
| 0 point of 10 months and 21 days | 25℃ |
| … | … |
| 24 o' clock on 21 days of 10 months | 28℃ |
The distributed optical fiber sensor is adopted in the embodiment of the application, so that the temperature value and the strain quantity of the optical fiber can be monitored in a long-distance distributed mode, and the situation that a certain optical fiber is in a safety accident and cannot be monitored by a common sensor is avoided.
And S102, determining a safety state value at a future moment according to the historical sensing data.
Alternatively, the future time may be a day in the future, or may be 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 in a past period of time.
Optionally, according to the temperature values of the dark optical fibers at a plurality of times in the past period of time, the temperature value variation of the dark optical fibers at a plurality of times in the past period of time may be determined, and then the temperature value of the dark optical fiber at a future time may be determined according to the variation.
For example, the model training may be performed by using the temperature values of the dark fiber corresponding to a plurality of moments in a past period of time as a sample set, the trained model is a time-temperature model, and the model may automatically output the temperature value corresponding to a future moment only by inputting the future moment into the model.
For yet another example, the temperature values of the dark fiber at various times over a period of time are shown in Table 2.
TABLE 2
| Time of day | Temperature value |
| 12 o' clock on 17 th day 10 | 20℃ |
| 18 o' clock in 10 months and 17 days | 25℃ |
| 0 point of 10 months and 18 days | 30℃ |
| 6 o' clock in 10 months and 18 days | 34℃ |
| 12 o' clock at 18 days 10 and 10 months | 39℃ |
| 18 o' clock in 10 months and 18 days | 45℃ |
| 0 point of 10 months and 19 days | 56℃ |
As can be seen from table 2, the temperature value of the dark fiber is gradually increased from 10 months 17 to 10 months 19 days, and the increase amplitude is about 5 ℃, so that the temperature at 12 points of 10 months 19 days in the future can be determined to be about 66 ℃.
As a second possible implementation, if the safety state value is a dependent quantity, the historical sensing data includes dependent quantities of the dark fiber at a plurality of times in a past period of time.
Optionally, according to the strain amount of the dark fiber at a plurality of times in the past period, the strain amount variation of the dark fiber between the plurality of times in the past period may be determined, and then the strain amount of the dark fiber at a future time may be determined according to the strain amount variation.
For example, model training may be performed by using the strain quantities of the dark fiber corresponding to a plurality of moments in a past period of time as a sample set, the trained model is a time-strain quantity model, and only a certain future moment is input to the model, so that the model can automatically output the strain quantity corresponding to the certain future moment.
For yet 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
| Time of day | Amount of strain |
| 12 o' clock on 17 th day 10 | 10με |
| 18 o' clock in 10 months and 17 days | 12με |
| 0 point of 10 months and 18 days | 15με |
| 6 o' clock in 10 months and 18 days | 19με |
| 12 o' clock at 18 days 10 and 10 months | 24με |
| 18 o' clock in 10 months and 18 days | 30με |
| 0 point of 10 months and 19 days | 37με |
As can be seen from table 3, the strain amount of the dark fiber increases gradually from day 17 at 10 months to day 19 at 10 months, and the amplitude of the increase is in an arithmetic progression, so that it can be determined that the strain at 12 points at day 10, 19 and day 19 in the future is about 54 μ ∈.
As a third possible implementation manner, if the safety state values are the temperature value and the strain amount, the historical sensing data includes the temperature value and the strain amount of the dark optical fiber at a plurality of times in a past period of time.
Optionally, according to the temperature values and the variables of the dark optical fibers at a plurality of times in a past period of time, the temperature values and the variables of the dark optical fibers at a plurality of times in a past period of time can be determined, and then the temperature values and the variables of the dark optical fibers at a future time can be determined according to the temperature values and the variables of the dark optical fibers.
For example, the temperature values and the dependent variables of the dark optical fiber corresponding to a plurality of moments in a past period of time can be used as a sample set to respectively perform model training, the trained models are a time-temperature model and a time-dependent variable model, and the model can automatically output the temperature values and the dependent variables corresponding to a future moment only by inputting the future moment into the model.
For yet another example, the temperature values and the variables of the dark fiber at various times over a period of time are shown in Table 4.
TABLE 4
| Time of day | Temperature value | Amount of strain |
| 12 o' clock on 17 th day 10 | 20℃ | 10με |
| 18 o' clock in 10 months and 17 days | 21℃ | 12με |
| 0 point of 10 months and 18 days | 18℃ | 15με |
| 6 o' clock in 10 months and 18 days | 19℃ | 19με |
| 12 o' clock at 18 days 10 and 10 months | 22℃ | 24με |
| 18 o' clock in 10 months and 18 days | 22℃ | 30με |
| 0 point of 10 months and 19 days | 21℃ | 37με |
As can be seen from table 4, the temperature value of the dark fiber fluctuates up and down at 20 ℃ from 10 months 17 to 10 months 19, and thus, it can be determined that the temperature value at 12 points of 10 months 19 and 12 days in the future is also about 20 ℃. The strain of the dark fiber is gradually increased from 17 days in 10 months to 19 days in 10 months, the amplitude of the increase is in an arithmetic progression, and therefore, the strain at 12 points in 10 months, 19 days in the future can be determined to be about 54 mu epsilon.
As a fourth possible implementation manner, if the safety state value is a preset parameter, the historical sensing data may include temperature values and variables of the dark optical fiber at a plurality of moments in a past period of time.
Optionally, the model training is performed by using the temperature values and the variables of the dark optical fibers at a plurality of moments in a past period as a sample set, the trained model is a moment-safety state value model, and the model can automatically output the safety state value corresponding to a certain future moment only by inputting the certain future moment into the model.
It should be understood that the higher the safety state value, the higher the possibility of a safety accident occurring in the optical cable tube well to be tested.
S103, if the safety state value at the future moment is larger than or equal to the safety state early warning threshold value of the optical cable tube well to be detected, first warning information is generated.
The first warning information is used for warning workers that safety accidents possibly occur in the optical cable tube well to be tested at a future moment.
Optionally, the safety state early warning threshold of the optical cable tube well to be tested refers to a maximum temperature value and/or a maximum dependent variable at which the optical cable tube well to be tested can normally work, and once the safety state value of the optical cable tube well to be tested exceeds the safety state early warning threshold, a safety accident occurs to the optical cable tube well to be tested.
Optionally, the monitoring device may select the safety state early warning threshold of the optical cable tube well to be detected according to the actual application environment of the dark optical fiber.
Optionally, the safety state early warning threshold is related to the type of the area in which the dark fiber is located.
Illustratively, when the area type corresponding to the dark optical fiber is a city, the safety state early warning threshold value of the optical cable tube well to be detected is a first safety state early warning threshold value; when the area type corresponding to the dark optical fiber is rural, the safety state early warning threshold value of the optical cable tube well to be detected is a second safety state early warning threshold value; when the area type corresponding to the hidden optical fiber is suburban, the safety state early warning threshold value of the optical cable tube well to be detected 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 above-mentioned possible implementation, because the communication demand in city is great, the optic fibre quantity of laying is also more, if safety condition early warning threshold value sets up less, monitoring devices may constantly report an emergency and ask for help or increased vigilance, in order to use manpower sparingly, on the basis of guaranteeing that the optical cable pipe well that awaits measuring does not appear major incident, with regional type as the safety condition early warning threshold value setting in city as big as possible. Correspondingly, the early warning threshold value of the safety state of the rural area corresponding to the area type corresponding to the dark optical fiber is larger than the early warning threshold value of the safety state of the suburban area corresponding to the area type corresponding to the dark optical fiber.
Optionally, the safety state early warning threshold is related to population density of the area where the dark fiber is located.
Illustratively, when the population density of an area where the dark optical fibers are located is greater than or equal to 500 persons/square kilometer, 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 fibers are located is more than 100 persons/square kilometer and less than 500 persons/square kilometer, the safety state early warning threshold value of the optical cable tube well to be detected is a second safety state early warning threshold value; when the population density of the dark optical fiber to the area is less than or equal to 100 persons/square kilometer, the safety state early warning threshold value of the optical cable tube well to be detected 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 above-mentioned possible implementation, because the region that population intensity is big, the communication demand is also great, and consequently the optic fibre of laying is also corresponding more, if the setting of safety condition early warning threshold value is less, monitoring devices may constantly report an emergency and ask for help or increased vigilance, in order to use manpower sparingly, on the basis of guaranteeing not appearing major safety accident in the optical cable tube well that awaits measuring, with as big as possible the setting of the safety condition early warning threshold value in the region that population intensity is big.
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 a dependent variable, the safety state early warning threshold value is a dependent variable early warning threshold value; and when the safety state value at the future moment is a safety state parameter calculated according to the temperature value and the strain of the dark optical fiber at a plurality of moments in a past period of time and a preset algorithm, the safety state early warning threshold value is a preset safety state early warning threshold value.
Optionally, after the monitoring device generates the first warning information, the monitoring device sends the first warning information to the terminal device of the worker, so that the worker can timely check and process the received first warning information.
For example, as shown in table 2, if the current time is 10 months, 19 days and 0 points, it may 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 may send first warning information at 10 months, 19 days and 0 points, where the first warning information is used to warn the worker that a safety accident may occur at 10 months, 20 days and 0 points.
Based on the embodiment, historical sensing data acquired by the distributed optical fiber sensor on the dark fiber is acquired, the historical sensing data comprises temperature values and/or strain quantities of the dark fiber at a plurality of moments in the past period, the change rule of the temperature values and/or the strain quantities of the dark fiber can be acquired through the historical sensing data, and then the safety state value of the dark fiber at the future moment can be determined according to the change rule. Therefore, if the safety state value at the future moment is greater than or equal to the safety state early warning threshold value of the optical cable tube well to be detected, it is indicated that safety accidents may occur to the optical cable tube well to be detected at the future moment, and therefore the staff can check and process the safety accidents in time by sending out the first warning information. Compared with manual monitoring and chip implantation monitoring in the prior art, the method provided by the application not only realizes full-automatic monitoring and saves manpower, but also does not need to modify the optical fiber, saves material resources, and simultaneously realizes effective prediction of the safety state of the optical cable tube well at the future time.
The embodiment of the present application further provides a method for monitoring an optical cable tube well, as shown in fig. 3, the method further includes:
s201, acquiring the temperature value and/or the dependent variable of the dark optical fiber at the current moment, which are acquired by the distributed sensor.
Illustratively, the current time is 12 points of 22 days in 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 dependent variable of the dark optical fiber.
Optionally, the safety state value at the current time may be a temperature value, a strain capacity, a temperature value and a strain capacity of the dark fiber, or a parameter calculated by a preset algorithm according to the temperature value and the strain capacity.
For example, when the temperature value of the dark fiber at the current time is 25 ℃ and the strain amount is 24 μ ∈, the safe state value may be 25, or 24, or 25 and 24, respectively. Of course, if the predetermined 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 larger than or equal to the safety state early warning threshold value of the optical cable tube well to be detected, second warning information is generated.
The second alarm information is used for indicating that a safety accident has occurred to the optical cable tube well to be tested at the current moment.
Illustratively, if the safety precaution threshold is 50 ℃, the safety state value at the current moment is 55, and it can be seen that 55 is greater than 50, the second warning message is generated.
Based on the above embodiment, by acquiring the safety state value at the current moment, if the safety state value at the current moment is greater than the safety state early warning threshold value, it indicates that a safety accident has occurred in the optical cable tubular well to be tested at the current moment, so that a worker can go to the maintenance in time.
Based on the embodiment described in fig. 2 and 3, the present application further provides a method for monitoring a fiber optic cable tube well, which is applied after steps S102 and S202, and 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 tube well to be tested, generating notification information.
The notification information is used for indicating that the optical cable tube well to be tested does not have safety accidents in the time period from the current moment to the future moment.
For example, if the current time is 10 months, 20 days and 12 days, the safety state value at the time is 15, the safety state value at 10 months, 22 days and 12 days, which is determined by the temperature value and the variable of the dark optical fiber at a plurality of times in the past period, is 40, and the safety state early warning threshold value is 55. It can be seen that 15 < 40 < 55, therefore, notification information is generated, and the notification information is used for indicating that no safety accident occurs to the optical cable tube well to be tested in the time period from 10 months, 20 days and 12 hours to 10 months, 22 days and 12 hours.
It should be understood that the order of executing steps S103, S203, and S301 is not limited.
Based on the above embodiment, if the current safety state value is smaller than the future safety state value, and the future safety state value is smaller than the safety state early warning threshold of the optical cable tube well to be tested, since both the current safety state value and the future safety state value are smaller than the safety state early warning threshold, it indicates that no safety accident occurs in the optical cable tube well to be tested in the time period from the current time to the future time.
It can be seen that the foregoing describes the solution provided by the embodiments of the present application primarily from a methodological perspective. In order to realize the functions, the monitoring device of the optical cable tube well comprises a hardware structure and/or a software module which are used for executing 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 performed as hardware or computer software drives 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.
In the embodiment of the present application, the monitoring device may be divided into the functional modules according to the 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 module can be realized in a hardware mode, and can also be realized in a software functional module mode. Optionally, the division of the modules in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
As shown in fig. 5, an embodiment of the present application provides a schematic structural diagram of a monitoring device for a fiber optic cable tube well. The control device includes: an acquisition module 501 and a processing module 502.
An obtaining module 501, configured to obtain historical sensing data acquired by a distributed sensor; the distributed sensor is arranged on a dark optical fiber, the dark optical fiber is arranged in an optical cable tube well to be measured, historical sensing data comprise temperature values and/or dependent variables of the dark optical fiber at a plurality of moments in a past period of time, and the dependent variables are used for indicating stretching variation 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 the possibility of a safety accident occurring to the optical cable tube well to be tested; and if the safety state value at the future moment is greater than or equal to the safety state early warning threshold value of the optical cable tube well to be detected, generating first warning information, wherein the first warning information is used for warning workers to pay attention to safety accidents of the optical cable tube well to be detected at the future moment.
Optionally, when the area type corresponding to the dark optical fiber is a city, the safety state early warning threshold of the optical cable tube well to be detected is a first safety state early warning threshold; when the area type corresponding to the dark optical fiber is rural, the safety state early warning threshold value of the optical cable tube well to be detected is a second safety state early warning threshold value; when the area type corresponding to the hidden optical fiber is suburban, the safety state early warning threshold value of the optical cable tube well to be detected 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 dependent variable of the dark optical fiber at the current time, which are collected by the distributed sensor;
the processing module 502 is further configured to determine a safety state value at the current time according to the temperature value and/or the dependent variable 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 tube well to be detected, generating second warning information, wherein the second warning information is used for indicating that a safety accident has occurred to the optical cable tube well to be detected at the current moment.
Optionally, the processing module 502 is further configured to generate notification information if the current safety state value is smaller than the future safety state value and the future safety state value is smaller than the safety state early warning threshold of the optical cable tube well to be tested, where the notification information is used to indicate that no safety accident occurs to the optical cable tube well to be tested in the time period from the current time to the future time.
Optionally, the safety state value is a temperature value or a dependent variable of the dark fiber.
As shown in fig. 6, the present application further provides a hardware configuration diagram 60 of a cable tube well monitoring device, which includes a processor 601 and a memory 602. Optionally, the processor 601 and the memory 602 are connected by a bus 603.
The processor 601 may be a Central Processing Unit (CPU), a general purpose processor Network (NP), a Digital Signal Processor (DSP), a microprocessor, a microcontroller, a Programmable Logic Device (PLD), or any combination thereof. The processor may also be any other means having a processing function such as a circuit, device or software module. The processor 601 may also include a plurality of CPUs, and the processor 601 may be a single-core (single-CPU) processor or a multi-core (multi-CPU) processor. A processor herein may refer to one or more devices, circuits, or processing cores that process data (e.g., computer program instructions).
The bus 603 may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus 603 may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 6, but this is not intended to represent only one bus or type of bus.
An embodiment of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium includes computer-executable instructions, and when the computer-executable instructions are executed on a computer, the computer is enabled to execute the monitoring method provided in the foregoing embodiment.
The embodiment of the present invention further provides a computer program product, which can be directly loaded into the memory and contains software codes, and after being loaded and executed by the computer, the computer program product can implement the monitoring method provided by the above embodiment.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented using a software program, 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. The processes or functions described in accordance with the embodiments of the present application occur, in whole or in part, when computer-executable instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. Computer-executable instructions may be stored in or transmitted from a computer-readable storage medium to another computer-readable storage medium, e.g., from one website, computer, server, or data center to another website, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL), or wireless (e.g., infrared, wireless, microwave, etc.), computer-readable storage media may be any available media that can be accessed by a computer or that contain one or more servers, data centers, etc., that may be integrated with the medium, available media may be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media (e.g., solid state disks, SSD)), etc.
While the present application has been described 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 drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other elements or steps, and the word "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 conjunction with specific features and embodiments thereof, it will be evident that various modifications and combinations can be made thereto without departing from the spirit and scope of the application. Accordingly, the specification and figures are merely exemplary of the present application as defined in the appended claims and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of the present application.
The above description is only an embodiment of the present application, but the 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 by the 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 cable tube 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 arranged in an optical cable tube well to be measured, the historical sensing data comprises temperature values and/or strain quantities of the dark optical fiber at a plurality of moments in a past period, and the strain quantities are used for indicating the stretching variation quantity of the dark optical fiber;
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 a safety accident of the optical cable tube well to be tested;
and if the safety state value at the future moment is greater than or equal to the safety state early warning threshold value of the optical cable tube well to be detected, generating first warning information, wherein the first warning information is used for warning workers to pay attention to safety accidents of the optical cable tube well to be detected at the future moment.
2. The method of claim 1,
when the area type corresponding to the dark optical fiber is a city, the safety state early warning threshold value of the optical cable tube well to be detected is a first safety state early warning threshold value;
when the area type corresponding to the dark optical fiber is rural, the safety state early warning threshold value of the optical cable tube well to be detected is a second safety state early warning threshold value;
when the area type corresponding to the dark optical fiber is suburban, the safety state early warning threshold value of the optical cable tube well to be detected 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.
3. The method according to claim 1 or 2, characterized in that the method further comprises:
acquiring the temperature value and/or the dependent variable of the dark optical fiber at the current moment, which are acquired by the distributed optical fiber sensor;
determining a safety state value at the current moment according to the temperature value and/or the dependent variable 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 tube well to be detected, generating second warning information, wherein the second warning information is used for indicating that a safety accident has occurred to the optical cable tube well to be detected at the current moment.
4. The method of claim 3, further comprising:
and 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 tube well to be detected, generating notification information, wherein the notification information is used for indicating that no safety accident occurs to the optical cable tube well to be detected in the time period from the current moment to the future moment.
5. The method of claim 1, wherein the safety state value is a temperature value or a strain amount of the dark fiber.
6. A cable tube well monitoring 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 arranged in an optical cable tube well to be measured, the historical sensing data comprises temperature values and/or strain quantities of the dark optical fiber at a plurality of moments in a past period, and the strain quantities are used for indicating the stretching variation quantity 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, and the safety state value is used for reflecting the possibility of safety accidents of the optical cable pipe well to be tested; and if the safety state value at the future moment is greater than or equal to the safety state early warning threshold value of the optical cable tube well to be detected, generating first warning information, wherein the first warning information is used for warning workers to pay attention to safety accidents of the optical cable tube well to be detected at the future moment.
7. The apparatus of claim 6,
when the area type corresponding to the dark optical fiber is a city, the safety state early warning threshold value of the optical cable tube well to be detected is a first safety state early warning threshold value;
when the area type corresponding to the dark optical fiber is rural, the safety state early warning threshold value of the optical cable tube well to be detected is a second safety state early warning threshold value;
when the area type corresponding to the dark optical fiber is suburban, the safety state early warning threshold value of the optical cable tube well to be detected 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.
8. The apparatus according to claim 6 or 7,
the acquisition module is further configured to acquire a temperature value and/or a dependent variable of the dark fiber at the current moment, which are 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 dependent variable 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 tube well to be detected, generating second warning information, wherein the second warning information is used for indicating that a safety accident has occurred to the optical cable tube well to be detected at the current moment.
9. A cable-tube well monitoring device, comprising: one or more processors and one or more memories;
the one or more memories coupled with the one or more processors for storing computer program code comprising computer instructions which, when executed by the real-time one or more processors, cause the monitoring device to perform the method of any of claims 1-5.
10. A computer-readable storage medium comprising computer instructions which, when executed on a computer, cause the computer to perform the method of any of claims 1 to 5.
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