CN113324737A

CN113324737A - Optical cable quality detection method, device, equipment and storage medium

Info

Publication number: CN113324737A
Application number: CN202110590576.8A
Authority: CN
Inventors: 杨伟; 张二超; 钟志刚; 郑波; 乔月强; 吕洪涛; 支春龙; 孙新莉; 杨宏博; 史正思
Original assignee: China United Network Communications Group Co Ltd; China Information Technology Designing and Consulting Institute Co Ltd
Current assignee: China United Network Communications Group Co Ltd; China Information Technology Designing and Consulting Institute Co Ltd
Priority date: 2021-05-28
Filing date: 2021-05-28
Publication date: 2021-08-31

Abstract

The application provides an optical cable quality detection method, an optical cable quality detection device, optical cable quality detection equipment and a storage medium, wherein manual participation is not needed in the method, time and labor are saved, and optical cable quality detection efficiency is improved. In addition, the embodiment of the application does not need to rely on the experience of detection personnel, realizes the intelligent detection of the quality of the optical cable, can improve the fault-removing efficiency of the optical cable, can grasp the optical performance of the fiber core in use in real time, perfects the existing optical cable network operation management capability evaluation system, supports the planned construction of the optical cable network, and guides the evaluation management of operation and maintenance work. In addition, the embodiment of the application detects the quality of the optical cable from multiple aspects, such as the optical cable availability ratio, the optical cable attenuation coefficient, the available state of the fiber core, the service life of the optical cable, the number of failures, the failure first-aid repair timeout accumulation and the like of the optical cable network, improves the accuracy of the detection result of the quality of the optical cable, and is suitable for application.

Description

Optical cable quality detection method, device, equipment and storage medium

Technical Field

The present application relates to the field of communications technologies, and in particular, to a method, an apparatus, a device, and a storage medium for detecting quality of an optical cable.

Background

With the continuous progress of communication technology, the application range of the communication optical cable in the process of each basic network service construction and service operation maintenance is wider and wider, and the quality of the communication optical cable directly influences the safety and reliability of an optical cable network.

Detecting the quality of optical communication cables in a cable network has become a critical task in response to a number of factors, including poor quality of optical communication cables, variations in cable quality over time, and the like. The existing method for detecting the quality of the optical cable generally comprises the steps of manually testing each fiber core, manually comparing test results and determining the quality of the optical cable, so that planning, construction and the like of an optical cable network are carried out based on the quality of the optical cable.

However, the above method is based on manual detection of the quality of the optical cable, and has low efficiency and low speed, which brings inconvenience to the operation and maintenance management of the optical cable network. Moreover, the dependence of the above method on the experience of the detection personnel is very strong, which may cause great difference of the detection result, and the method cannot be effectively used for guiding optical cable planning, construction and the like.

Disclosure of Invention

In order to solve the problems in the prior art, the application provides an optical cable quality detection method, an optical cable quality detection device, an optical cable quality detection apparatus and a storage medium.

In a first aspect, an embodiment of the present application provides an optical cable quality detection method, including the following steps:

acquiring the availability ratio of the whole-network optical cable, the attenuation coefficient of the whole-network optical cable, the available state of the whole-network fiber core, the service life of the whole-network optical cable, the number of times of failure in hundred kilometers per year and the failure first-aid repair overtime accumulated value in a target optical cable network;

respectively determining an optical cable availability value, an optical cable attenuation coefficient value, a fiber core available state value, an optical cable service life limit value, a hundred kilometer year failure number value and a failure first-aid repair timeliness value of the target optical cable network according to the whole optical cable availability ratio, the whole optical cable attenuation coefficient, the whole network fiber core available state, the whole hundred kilometer year failure number and the failure first-aid repair overtime accumulated value;

determining the optical cable health degree of the target optical cable network according to the optical cable availability value, the optical cable attenuation coefficient value, the fiber core available state value, the optical cable service life limit value, the annual hundred kilometer fault number value and the fault first-aid repair timeliness value;

and determining the optical cable quality of the target optical cable network according to the optical cable health degree, and determining a target guidance scheme according to the optical cable quality of the target optical cable network, wherein the target guidance scheme comprises one or more of planning, construction and maintenance of the target optical cable network.

In a possible implementation manner, the obtaining the availability ratio of the optical cable in the whole network, the attenuation coefficient of the optical cable in the whole network, the available state of the fiber core in the whole network, the service life of the optical cable in the whole network, the number of times of failures in hundreds of kilometers per year, and the failure rush-repair timeout accumulated value in the target optical cable network includes:

determining the availability ratio of the whole network optical cable according to the optical cable relay section interruption time length and the optical cable relay section operation time length of each optical cable in the target optical cable network;

determining the attenuation coefficient of the whole-network optical cable according to the optical cable relay section attenuation of each optical cable in the target optical cable network and the optical cable relay section length;

determining the number of optical cable relay sections in each available state according to the available states of fiber cores of the optical cable relay sections in the target optical cable network, and determining the available states of the fiber cores of the whole network according to the number of the optical cable relay sections in each available state;

determining the service life of the whole-network optical cable according to the service life of the optical cable relay section of each optical cable in the target optical cable network and the length of the optical cable relay section;

determining the annual hundred kilometer fault times according to the annual fault times of the target optical cable network and the total length of the relay section of the whole-network optical cable;

and determining the fault first-aid repair overtime accumulated value according to the preset standard recovery time length and the out-of-standard recovery time length fault duration of the optical cable relay section of each optical cable of the target optical cable network.

In a possible implementation manner, the determining the availability ratio of the optical fiber cable in the whole network according to the cable relay zone interruption duration and the cable relay zone operation duration of each optical cable in the target optical cable network includes:

determining the optical cable availability of each optical cable according to the ratio of the optical cable relay section interrupt time length of each optical cable to the optical cable relay section operation time length;

and determining the availability ratio of the whole network optical cable according to the optical cable availability ratio of each optical cable, the optical cable relay section length of each optical cable and the total length of the whole network optical cable relay section of the target optical cable network.

In a possible implementation manner, the determining the full-network optical cable attenuation coefficient according to the optical cable relay section attenuation and the optical cable relay section length of each optical cable in the target optical cable network includes:

determining the total loss of the optical cable trunk section of the whole network and the total length of the optical cable trunk section of the whole network of the target optical cable network according to the optical cable trunk section loss and the optical cable trunk section length of each optical cable;

and determining the attenuation coefficient of the whole-network optical cable according to the ratio of the attenuation sum of the relay section of the whole-network optical cable to the total length of the relay section of the whole-network optical cable.

In a possible implementation manner, the determining the lifetime of the optical cable over the whole network according to the lifetime of the optical cable trunk section and the length of the optical cable trunk section of each optical cable in the target optical cable network includes:

determining the product of the service life of the optical cable relay section of each optical cable in the target optical cable network and the length of the optical cable relay section;

and determining the service life of the whole optical cable according to the product and the total length of the relay section of the whole optical cable of the target optical cable network.

In a possible implementation manner, the determining the number of hundred kilometer faults per year according to the number of year faults of the target optical cable network and the total length of the optical cable trunk of the whole network includes:

determining the ratio of the annual fault frequency to the total length of the relay section of the whole optical network cable;

and determining the failure times of hundred kilometers per year according to the ratio.

In a possible implementation manner, the determining the breakdown rush repair timeout accumulated value according to the preset standard recovery time and the out-of-standard recovery time breakdown duration of the optical cable trunk of each optical cable of the target optical cable network includes:

determining the difference value between the out-of-standard recovery time length fault duration of the optical cable relay section of each optical cable and the preset standard recovery time length;

and determining the fault first-aid repair overtime accumulated value according to the difference value.

In a possible implementation manner, the determining an optical cable availability value, an optical cable attenuation coefficient value, a fiber core availability value, an optical cable service life limit value, a hundred-kilometer-year failure number value, and a failure repair timeliness value of the target optical cable network according to the total-network optical cable availability ratio, the total-network optical cable attenuation coefficient, the total-network fiber core availability state, the total-network optical cable service life, the hundred-kilometer-year failure number, and the failure repair timeout accumulated value respectively includes:

determining the optical cable availability value according to the total network optical cable availability and a preset optical cable availability threshold value;

determining the optical cable attenuation coefficient value according to the whole-network optical cable attenuation coefficient and a preset optical cable attenuation coefficient threshold value;

determining the fiber core available state value according to the full-network fiber core available state and the number of the full-network optical cable relay sections;

determining the service life limit value of the optical cable according to the service life of the whole optical cable network and a preset service life threshold value of the optical cable network;

determining a fault frequency value of hundred kilometers per year according to the fault frequency of hundred kilometers per year and a preset standard value;

and determining the failure emergency repair overtime accumulated times according to the failure emergency repair overtime accumulated value and a preset failure emergency repair overtime accumulated threshold, and determining the failure emergency repair timeliness value according to the failure emergency repair overtime accumulated times and the preset times threshold.

In a possible implementation manner, the determining the optical cable health degree of the target optical cable network according to the optical cable availability value, the optical cable attenuation coefficient value, the fiber core available state value, the optical cable service life limit value, the hundreds of kilometers per year fault number value, and the fault first-aid repair timeliness value includes:

obtaining a first weight corresponding to the optical cable availability value, a second weight corresponding to the optical cable attenuation coefficient value, a third weight corresponding to the fiber core available state value, a fourth weight corresponding to the optical cable service life limit value, a fifth weight corresponding to the annual hundred kilometer fault number value and a sixth weight corresponding to the fault first-aid repair timeliness value;

and determining the health degree of the optical cable according to the optical cable availability value, the optical cable attenuation coefficient value, the fiber core available state value, the optical cable service life limit value, the annual hundred kilometer fault number value, the fault first-aid repair timeliness value, the first weight, the second weight, the third weight, the fourth weight, the fifth weight and the sixth weight.

In one possible implementation manner, the determining the cable quality of the target cable network according to the cable health degree and determining the target guidance plan according to the cable quality of the target cable network includes:

determining the optical cable quality of the target optical cable network according to the optical cable health degree and a preset optical cable health degree threshold value;

and determining the target guidance scheme corresponding to the optical cable quality of the target optical cable network according to the preset corresponding relation between the optical cable quality and the guidance scheme.

In a second aspect, an embodiment of the present application provides an optical cable quality detection apparatus, where the apparatus includes:

the system comprises an obtaining module, a judging module and a judging module, wherein the obtaining module is used for obtaining the availability ratio of the whole-network optical cable, the attenuation coefficient of the whole-network optical cable, the available state of a whole-network fiber core, the service life of the whole-network optical cable, the fault times of hundreds of kilometers per year and the fault first-aid repair overtime accumulated value in a target optical cable network;

the first determining module is used for respectively determining an optical cable availability value, an optical cable attenuation coefficient value, a fiber core available state value, an optical cable service life limit value, an optical cable service life number value, a hundred-kilometer-year fault number value and a fault first-aid repair timeliness value of the target optical cable network according to the whole-network optical cable availability ratio, the whole-network optical cable attenuation coefficient, the whole-network fiber core available state and the fault first-aid repair overtime accumulated value;

the second determination module is used for determining the optical cable health degree of the target optical cable network according to the optical cable availability value, the optical cable attenuation coefficient value, the fiber core available state value, the optical cable service life limit value, the hundred kilometer year fault number value and the fault first-aid repair timeliness value;

and the third determining module is used for determining the optical cable quality of the target optical cable network according to the optical cable health degree, and determining a target guiding scheme according to the optical cable quality of the target optical cable network, wherein the target guiding scheme comprises one or more of planning, construction and maintenance of the target optical cable network.

In a possible implementation manner, the obtaining module is specifically configured to:

In a possible implementation manner, the first determining module is specifically configured to:

In a possible implementation manner, the second determining module is specifically configured to:

In a possible implementation manner, the third determining module is specifically configured to:

In a third aspect, an embodiment of the present application provides an optical cable quality detection apparatus, including:

a processor;

a memory; and

a computer program;

wherein the computer program is stored in the memory and configured to be executed by the processor, the computer program comprising instructions for performing the method of the first aspect.

In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, where a computer program is stored, and the computer program causes a server to execute the method according to the first aspect.

In a fifth aspect, the present application provides a computer program product, which includes computer instructions for executing the method of the first aspect by a processor.

The method, the device, the equipment and the storage medium for detecting the optical cable quality provided by the embodiment of the application can obtain the availability ratio of the whole network optical cable, the attenuation coefficient of the whole network optical cable, the availability state of the whole network fiber core, the service life of the whole network optical cable, the failure times of hundreds of kilometers per year and the failure first-aid repair overtime accumulated value in a target optical cable network, according to the data, determining the optical cable availability value, the optical cable attenuation coefficient value, the fiber core available state value, the optical cable service life limit value, the annual hundred kilometer fault number value and the fault first-aid repair timeliness value of the target optical cable network, thereby determining the optical cable health degree of the target optical cable network, determining the optical cable quality of the target optical cable network according to the optical cable health degree, finally determining a target guidance scheme, planning, construction, maintenance and the like of the target optical cable network, wherein manual participation is not needed, time and labor are saved, and the optical cable quality detection efficiency is improved. In addition, the embodiment of the application does not need to rely on the experience of detection personnel, realizes the intelligent detection of the quality of the optical cable, can improve the fault-removing efficiency of the optical cable, can grasp the optical performance of the fiber core in use in real time, perfects the existing optical cable network operation management capability evaluation system, supports the planned construction of the optical cable network, and guides the evaluation management of operation and maintenance work. In addition, the embodiment of the application detects the quality of the optical cable from multiple aspects, such as the optical cable availability ratio, the optical cable attenuation coefficient, the available state of the fiber core, the service life of the optical cable, the number of failures, the failure first-aid repair timeout accumulation and the like of the optical cable network, improves the accuracy of the detection result of the quality of the optical cable, and is suitable for application.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.

Fig. 1 is a schematic diagram of an optical cable quality detection system according to an embodiment of the present application;

fig. 2 is a schematic flow chart of a method for detecting quality of an optical cable according to an embodiment of the present disclosure;

FIG. 3 is a schematic flow chart illustrating another method for quality testing of fiber optic cables according to an embodiment of the present disclosure;

FIG. 4 is a schematic diagram of a cable quality test provided by an embodiment of the present application;

fig. 5 is a schematic structural diagram of an optical cable quality detection apparatus according to an embodiment of the present application;

fig. 6 is a schematic diagram of a basic hardware architecture of an optical cable quality detection apparatus provided in the present application.

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.

The terms "first," "second," "third," and "fourth," if any, in the description and claims of this application and the above-described figures are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

The current optical cable network is distributed in all corners of cities, towns and towns, and the optical cable lines on the ground and under the ground are everywhere. As a basic resource network, in order to meet the service bearing requirements of a telecommunication system, the quality detection capability of the optical cable network needs to be developed towards on-line perception, digitization, informatization and intellectualization. Aiming at the operation capacity of an optical cable network, how to establish a set of quick and effective optical cable quality detection machine is made to solve the difficult problem to be solved urgently.

The quality of the existing optical cable is generally detected manually, the efficiency is low, the speed is low, for example, from the occurrence of optical cable faults, fault judgment, work order delivery, machine line matching and on-site first-aid repair, the processing flow time is generally 3-4 hours; in remote areas, the repair time cannot be guaranteed completely due to regional traffic and other reasons. In addition, the manual detection depends on the experience of detection personnel, for example, the detection personnel A detects that the optical cable quality of a certain optical cable network is better, and the detection personnel B detects that the optical cable quality of the optical cable network is poorer, so that the detection results have great difference, and the detection personnel B cannot be used for optical cable construction and maintenance work.

In order to solve the above problem, an embodiment of the present application provides an optical cable quality detection method, which does not need manual participation, saves time and manpower, and improves optical cable quality detection efficiency. In addition, the embodiment of the application does not need to rely on the experience of detection personnel, realizes the intelligent detection of the quality of the optical cable, can improve the fault-removing efficiency of the optical cable, can grasp the optical performance of the fiber core in use in real time, perfects the existing optical cable network operation management capability evaluation system, supports the planned construction of the optical cable network, and guides the evaluation management of operation and maintenance work. In addition, the embodiment of the application detects the quality of the optical cable from multiple aspects, such as the optical cable availability ratio, the optical cable attenuation coefficient, the available state of the fiber core, the service life of the optical cable, the number of failures, the failure first-aid repair timeout accumulation and the like of the optical cable network, improves the accuracy of the detection result of the quality of the optical cable, and is suitable for application.

Optionally, the optical cable quality detection method provided by the present application may be applied to the architecture schematic diagram of the optical cable quality detection system shown in fig. 1, and as shown in fig. 1, the system may include a receiving unit 101, a processor 102, and a display unit 103.

It is to be understood that the illustrated structure of the embodiments of the present application does not constitute a specific limitation to the architecture of the optical cable quality detection system. In other possible embodiments of the present application, the foregoing architecture may include more or less components than those shown in the drawings, or combine some components, or split some components, or arrange different components, which may be determined according to practical application scenarios, and is not limited herein. The components shown in fig. 1 may be implemented in hardware, software, or a combination of software and hardware.

In a specific implementation process, the receiving unit 101 may be an input/output interface or a communication interface, and may be configured to receive an optical cable availability ratio, an optical cable attenuation coefficient, a fiber core availability state, an optical cable service life, a failure frequency, and failure first-aid repair timeout accumulation of a certain optical cable network.

The processor 102 may obtain the cable availability, the cable attenuation coefficient, the fiber core availability, the cable service life, the failure frequency, the failure first-aid repair timeout accumulation, and the like from the receiving unit 101, thereby determining the cable quality of the cable network based on the information, without manual participation, saving time and labor, and improving the cable quality detection efficiency. Moreover, the processor 102 does not need to rely on the experience of detection personnel, and intelligent detection of the quality of the optical cable is achieved. In addition, the processor 102 detects the optical cable quality from multiple aspects, such as the optical cable availability, the optical cable attenuation coefficient, the fiber core availability, the optical cable service life, the number of failures, and the failure first-aid repair timeout accumulation, so that the accuracy of the optical cable quality detection result is improved, and the method is suitable for application.

The display unit 103 may be configured to display the availability ratio of the optical cable, the attenuation coefficient of the optical cable, the available state of the fiber core, the service life of the optical cable, the number of failures, and the timeout accumulation of the first-aid repair.

The display unit may also be a touch display screen for receiving a user instruction while displaying the above content to enable interaction with a user.

It should be understood that the processor may be implemented by reading instructions in the memory and executing the instructions, or may be implemented by a chip circuit.

The system is only an exemplary system, and when the system is implemented, the system can be set according to application requirements.

The technical solutions of the present application are described below with several embodiments as examples, and the same or similar concepts or processes may not be described in detail in some embodiments.

Fig. 2 is a schematic flow chart of an optical cable quality detection method provided in an embodiment of the present application, where an execution main body of the embodiment may be a processor in the embodiment shown in fig. 1, and as shown in fig. 2, the method may include:

s201: and acquiring the availability ratio of the whole-network optical cable, the attenuation coefficient of the whole-network optical cable, the available state of the whole-network fiber core, the service life of the whole-network optical cable, the number of times of failures in hundred kilometers per year and the failure first-aid repair overtime accumulated value in the target optical cable network.

The target optical cable network may be determined according to actual conditions, such as the optical cable network in city a.

The processor can obtain the availability ratio of the whole network optical cable, the attenuation coefficient of the whole network optical cable, the available state of the whole network fiber core, the service life of the whole network optical cable, the number of times of failure in hundred kilometers per year and the failure first-aid repair overtime accumulated value in real time in the target optical cable network, and can also obtain the availability ratio of the whole network optical cable, the attenuation coefficient of the whole network optical cable, the available state of the whole network fiber core, the service life of the whole network optical cable, the number of times of failure in hundred kilometers per year and the failure first-aid repair overtime accumulated value in the target optical cable network under preset conditions, and the processor can specifically determine according to actual conditions and meet different application requirements.

S202: and respectively determining an optical cable availability value, an optical cable attenuation coefficient value, a fiber core available state value, an optical cable service life limit value, a hundred kilometer year failure number value and a failure first-aid repair timeliness value of the target optical cable network according to the whole network optical cable availability ratio, the whole network optical cable attenuation coefficient, the whole network fiber core available state, the whole hundred kilometer year failure number and the failure first-aid repair overtime accumulated value.

For example, the processor may determine the cable availability value according to the total-network cable availability and a preset cable availability threshold.

For example, the preset threshold of the optical cable availability includes a first threshold of the availability, a second threshold of the availability, a third threshold of the availability, and a fourth threshold of the availability, where the first threshold of the availability is greater than the second threshold of the availability, the second threshold of the availability is greater than the third threshold of the availability, and the third threshold of the availability is greater than the fourth threshold of the availability. When the total network cable availability is the first availability threshold, the processor may determine that the cable availability value is a first availability value; when the total-network cable availability is smaller than the first availability threshold and larger than a second availability threshold, the processor may determine that the cable availability value is a second availability value; when the total-network cable availability is less than or equal to the second availability threshold and greater than a third availability threshold, the processor may determine that the cable availability value is a third availability value; when the total-network cable availability is less than or equal to the third availability threshold and greater than a fourth availability threshold, the processor may determine that the cable availability value is a fourth availability value; when the total-network cable availability is less than or equal to the fourth availability threshold, the processor may determine the cable availability value through a first preset formula. Wherein the first availability value is greater than the second availability value, the second availability value is greater than the third availability value, and the third availability value is greater than the fourth availability value.

If the first availability threshold is 100%, the second availability threshold is 99.5%, the third availability threshold is 99%, and the fourth availability threshold is 98.5%.

The optical cable availability ratio is 100%, and the optical cable availability ratio is 100 minutes; 99.5% < cable availability < 100%, which may be 99 minutes; 99 percent of the available rate of the optical cable is less than or equal to 99.5 percent, and the available rate of the optical cable can be 96 minutes; 98.5 percent < the availability ratio of the optical cable is less than or equal to 99 percent, and the availability ratio of the optical cable can be 90 minutes; when the availability ratio of the optical cable is less than or equal to 98.5%, the availability ratio of the optical cable can be determined by the following formula:

for example, the processor may determine the cable attenuation coefficient value according to the full-network cable attenuation coefficient and a preset cable attenuation coefficient threshold value.

For example, the preset optical cable attenuation coefficient threshold includes a first attenuation coefficient threshold and a second attenuation coefficient threshold, and the first attenuation coefficient threshold is smaller than the second attenuation coefficient threshold. When the attenuation coefficient of the whole network cable is less than or equal to the first attenuation coefficient threshold value, the processor may determine that the cable attenuation coefficient value is a first attenuation coefficient value; when the attenuation coefficient of the whole-network optical cable is greater than or equal to the second attenuation coefficient threshold value, the processor may determine that the optical cable attenuation coefficient value is a second attenuation coefficient value; when the attenuation coefficient of the whole-network cable is greater than the first attenuation coefficient threshold value and smaller than a second attenuation coefficient threshold value, the processor may determine that the attenuation coefficient value of the cable is determined according to a second preset formula.

If the first attenuation factor threshold is 0.22dB/Km, the second attenuation factor threshold is 0.263 dB/Km.

The attenuation coefficient is less than or equal to 0.22dB/Km, and the attenuation coefficient value of the optical cable can be 100 minutes;

the attenuation coefficient is more than or equal to 0.263dB/Km, and the attenuation coefficient value of the optical cable can be 0 min;

0.22dB/Km < attenuation coefficient <0.263dB/Km, the above-mentioned cable attenuation coefficient value can be determined by the following formula:

for example, the processor may determine the core availability status value according to the full-network core availability status and the number of full-network optical cable hops.

The available state of the fiber core of the optical cable relay section in the target optical cable network can be divided into three grades of low, medium and high by taking the occupancy rate of the fiber core as 30 percent and 60 percent as a limit. The processor may determine the number of cable hops with poor cores. The full-network fiber core available state comprises the optical cable relay sections with the low, medium and high grades, and the optical cable relay sections with the poor fiber cores.

Here, the processor may obtain an adjustment coefficient corresponding to the number of optical cable hops in each available state, and determine the available state of the entire-network fiber core according to the adjustment coefficient, the number of optical cable hops in each available state, and the number of optical cable hops in the entire network of the target optical cable network.

For example, the processor may determine the core health value by a third predetermined formula:

wherein, a, b, c are the number of the optical cable relay sections of the three levels of low, medium and high, d is the number of the optical cable relay sections of the poor fiber core, and x, y, z are the corresponding adjusting coefficients respectively, which can be determined according to the actual situation, for example, 0.8, 0.6 and 0.2.

For example, the processor may determine the cable lifetime limit according to the network-wide cable lifetime and a preset cable lifetime threshold.

For example, the preset cable lifetime threshold includes a first lifetime threshold, a second lifetime threshold, a third lifetime threshold, and a fourth lifetime threshold, where the first lifetime threshold is smaller than the second lifetime threshold, the second lifetime threshold is smaller than the third lifetime threshold, and the third lifetime threshold is smaller than the fourth lifetime threshold. When the service life of the optical cable in the whole network is less than or equal to the first service life threshold, the processor may determine that the service life limit of the optical cable is a first service life limit; when the service life of the entire network cable is greater than the first service life threshold and less than or equal to the second service life threshold, the processor may determine the service life limit of the cable according to a fourth preset formula.

When the service life of the optical cable in the whole network is greater than the second service life threshold and less than or equal to the third service life threshold, the processor may determine the service life limit of the optical cable according to a fifth preset formula.

When the service life of the optical cable in the whole network is greater than the third service life threshold and less than or equal to the fourth service life threshold, the processor may determine the service life limit of the optical cable according to a sixth preset formula.

When the service life of the optical cable in the whole network is greater than the fourth service life threshold, the processor may determine that the service life limit of the optical cable is a second service life limit, and the second service life limit is smaller than the first service life limit.

If the first age threshold is 10 years, the second age threshold is 15 years, the third age threshold is 20 years and the fourth age threshold is 25 years.

The service life of the whole network optical cable is less than or equal to 10 years, and the service life limit value A of the optical cable is 100 minutes; the service life of the whole network optical cable is more than 25 years, and A is 0 min; the service life of the whole network optical cable is less than or equal to 25 years in 20 years, and the A is 25-year)/5 x60 min; 15 years < the service life of the whole network optical cable is less than or equal to 20 years, and A is 20-year)/5 x30+60 min; the service life of the whole network optical cable is less than or equal to 15 years in 10 years, and the A is 15-years)/5 x10+90 minutes.

For example, the processor may determine the number of hundreds of kilometers per year faults according to the number of hundreds of kilometers per year faults and a preset standard value.

For example, the number of hundreds of kilometers per year faults is less than or equal to a preset standard value, and the processor may determine that the number of hundreds of kilometers per year faults is a first number of faults. The number of hundred kilometers per year faults is greater than a preset standard value, and the processor can determine the number of hundred kilometers per year faults according to a seventh preset formula.

The number of failures per hundred kilometers per year is less than or equal to a standard value, and the number N of the failures per hundred kilometers per year can be 100 points;

when the number of hundreds of kilometers in a year is larger than a standard value, N can be determined by the following formula:

illustratively, the processor may determine the number of times of the emergency repair timeout according to the value of the emergency repair timeout cumulative value and a preset value of the emergency repair timeout cumulative threshold, and determine the value of the timeliness of the emergency repair according to the number of times of the emergency repair timeout cumulative value and the preset value of the times of the emergency repair.

The preset fault first-aid repair overtime accumulated threshold value can be determined according to actual bitterness, for example, the repair time of the optical cable of the inter-provincial trunk line is less than 180 minutes; the provincial trunk cable repair is less than 240 minutes. And then, the processor determines the failure emergency repair timeout accumulated times according to the failure emergency repair timeout accumulated value and a preset failure emergency repair timeout accumulated threshold.

The preset number threshold may include a first number threshold, a second number threshold, and a third number threshold, where the first number threshold is smaller than the second number threshold, and the second number threshold is smaller than the third number threshold. When the number of times of the fault emergency repair timeout accumulation is smaller than or equal to the first time threshold, the processor can determine that the fault emergency repair timeliness value is the first emergency repair timeliness value. In other cases, for example, the number of times of the emergency repair timeout is greater than the first time threshold and is less than or equal to the second time threshold, and the number of times of the emergency repair timeout is greater than the second time threshold and is less than or equal to the third time threshold, the processor may determine the value of the emergency repair timeliness according to an eighth preset formula.

If the first count threshold is 0, the second count threshold is 2, and the third count threshold is 5.

The failure first-aid repair timeout accumulation is less than or equal to 0, and the failure first-aid repair timeliness value T can be 100 minutes; 0< timeout times are less than or equal to 2, and the basic score is 100; 2, the overtime frequency is less than or equal to 5, and the basic value is 90; the overtime times are more than 5, and the basic score is 70;

t can be determined by the following formula:

s203: and determining the optical cable health degree of the target optical cable network according to the optical cable availability value, the optical cable attenuation coefficient value, the fiber core available state value, the optical cable service life limit value, the hundred kilometer year fault number value and the fault first-aid repair timeliness value.

Here, the processor may obtain a first weight corresponding to the optical cable availability value, a second weight corresponding to the optical cable attenuation coefficient value, a third weight corresponding to the fiber core availability status value, a fourth weight corresponding to the optical cable service life limit value, a fifth weight corresponding to the annual hundred kilometer fault number value, and a sixth weight corresponding to the breakdown rush repair timeliness value, and determine the optical cable health degree according to the optical cable availability value, the optical cable attenuation coefficient value, the fiber core availability status value, the optical cable service life limit value, the annual hundred kilometer fault number value, the breakdown rush repair timeliness value, the first weight, the second weight, the third weight, the fourth weight, the fifth weight, and the sixth weight.

For example, the processor may calculate a product of the cable availability value and a first weight, a product of the cable attenuation coefficient value and a second weight, a product of the fiber core availability status value and a third weight, a product of the cable lifetime limit value and a fourth weight, a product of the number of hundreds of kilometers of years of failure and a fifth weight, and a product of the failure emergency repair timeliness value and a sixth weight, and add the products to obtain the added result as the cable health.

For example, the first weight, the second weight, the fifth weight, and the sixth weight are each 20%, and the third weight and the fourth weight are each 10%. The health of the optical cable can be determined by the following formula:

optical cable health degree of 20% × V + 20% × D + 20% × T + 20% × N + 10% × a + 10% × S

S204: and determining the optical cable quality of the target optical cable network according to the optical cable health degree, and determining a target guidance scheme according to the optical cable quality of the target optical cable network, wherein the target guidance scheme comprises one or more of planning, construction and maintenance of the target optical cable network.

Here, the processor may determine the optical cable quality of the target optical cable network according to the optical cable health degree and a preset optical cable health degree threshold, and further determine a target guidance scheme corresponding to the optical cable quality of the target optical cable network according to a correspondence between a preset optical cable quality and a guidance scheme.

The preset optical cable health threshold may be determined according to an actual situation, and for example, includes a first health threshold and a second health threshold, where the first health threshold is greater than the second health threshold, for example, 90 minutes and 60 minutes, respectively. The processor may determine that the cable quality of the target cable network is good if the cable health is greater than or equal to a first health threshold. The processor may determine that the cable quality of the target cable network is poor if the cable health is less than a second health threshold. If the cable health is less than the first health threshold and greater than or equal to the second health threshold, the processor may determine that the cable quality of the target cable network is normal.

Similarly, the correspondence between the quality of the optical cable and the guidance scheme may also be determined according to actual conditions, for example, the quality of the optical cable in the target optical cable network is poor, and the guidance scheme may include planning and construction schemes.

According to the embodiment of the application, the availability ratio of the whole-network optical cable, the attenuation coefficient of the whole-network optical cable, the availability state of the whole-network fiber core, the service life of the whole-network optical cable, the hundred-kilometer-year failure times and the failure first-aid repair overtime accumulated value in the target optical cable network are obtained, and further, according to the information, the optical cable availability value, the attenuation coefficient value of the whole-network optical cable, the fiber core availability state value, the optical cable service life limit value, the hundred-kilometer-year failure times value and the failure first-aid repair timeliness value of the target optical cable network are determined, so that the optical cable health degree of the target optical cable network is determined, the optical cable quality of the target optical cable network is determined, the target guidance scheme is finally determined, planning, construction, maintenance and the like of the target optical cable network are achieved, manual participation is not needed, time and manpower are saved, and the optical cable quality detection efficiency is improved. In addition, the embodiment of the application does not need to rely on the experience of detection personnel, realizes the intelligent detection of the quality of the optical cable, can improve the fault-removing efficiency of the optical cable, can grasp the optical performance of the fiber core in use in real time, perfects the existing optical cable network operation management capability evaluation system, supports the planned construction of the optical cable network, and guides the evaluation management of operation and maintenance work. In addition, the embodiment of the application detects the quality of the optical cable from multiple aspects, such as the optical cable availability ratio, the optical cable attenuation coefficient, the available state of the fiber core, the service life of the optical cable, the number of failures, the failure first-aid repair timeout accumulation and the like of the optical cable network, improves the accuracy of the detection result of the quality of the optical cable, and is suitable for application.

In addition, in the embodiment of the present application, when obtaining the availability of the optical fiber cable of the whole network, the attenuation coefficient of the optical fiber cable of the whole network, the availability of the fiber core of the whole network, the service life of the optical fiber cable of the whole network, the number of failures in hundreds of kilometers per year, and the failure first-aid repair timeout accumulated value in the target optical fiber network, it may be considered to determine the interruption duration of the optical fiber cable trunk of each optical fiber cable and the operation duration of the optical fiber cable trunk by taking the optical fiber cable trunk (system optical amplifier section or multiplexing section) as a unit, the attenuation of the optical fiber cable trunk and the length of the optical fiber cable trunk of each optical fiber cable, the service life of the optical fiber cable trunk and the length of the optical fiber cable trunk of each optical fiber cable, the preset standard recovery duration and the standard exceeding recovery duration of the failure duration, and the availability of the fiber core of the optical fiber cable trunk, the number of failures, the total length of the optical fiber cable trunk of the whole network, and the like. Fig. 3 is a schematic flow chart of another method for detecting quality of an optical cable according to an embodiment of the present application. As shown in fig. 3, the method includes:

s301: and determining the availability ratio of the whole network optical cable according to the optical cable relay section interruption time length and the optical cable relay section operation time length of each optical cable in the target optical cable network.

Here, the processor may determine the cable availability of each optical cable according to a ratio of the cable relay section interruption time length of each optical cable to the cable relay section operation time length of each optical cable, and further determine the cable availability of the entire network according to the cable availability of each optical cable, the cable relay section length of each optical cable, and the total length of the cable relay section of the target optical cable network.

For example, the processor may determine the cable availability for each cable according to the following formula:

then, the processor may determine the availability ratio of the optical fiber cable in the whole network according to the optical fiber cable availability ratio of each optical fiber cable, the optical fiber cable relay section length of each optical fiber cable, and the total length of the optical fiber cable relay section in the whole network of the target optical fiber network, by using the following formula:

s302: and determining the attenuation coefficient of the whole network optical cable according to the optical cable relay section attenuation of each optical cable in the target optical cable network and the optical cable relay section length.

Here, the processor may determine a total loss of the optical cable trunk of the target optical network and a total length of the optical cable trunk of the entire network according to the optical cable trunk loss and the optical cable trunk length of each optical cable, and thereby determine the attenuation coefficient of the optical cable of the entire network according to a ratio of the total loss of the optical cable trunk of the entire network to the total length of the optical cable trunk of the entire network.

Illustratively, the processor may determine the cable attenuation factor for each of the fiber optic cables according to the following equation:

the processor may determine the attenuation coefficient of the entire network cable according to the following formula:

s303: and determining the number of the optical cable relay sections in each available state according to the available states of the fiber cores of the optical cable relay sections in the target optical cable network, and determining the available states of the fiber cores in the whole network according to the number of the optical cable relay sections in each available state.

The processor can be divided into three levels of low, moderate and high by taking the fiber core occupancy rate of 30% and 60% as boundaries, and counts the number of optical cable segments in different levels; and determining bad fiber core segments, namely determining the number of the optical cable relay segments with the bad fiber cores, thereby determining the available state of the full-network fiber core.

S304: and determining the service life of the whole network optical cable according to the service life of the optical cable relay section of each optical cable in the target optical cable network and the length of the optical cable relay section.

Here, the processor may determine a product of the lifetime of the optical cable relay segment of each optical cable in the target optical cable network and the length of the optical cable relay segment, and further determine the lifetime of the optical cable network according to the product and the total length of the optical cable relay segment of the target optical cable network.

For example, the processor may determine the lifetime of the cable over the network according to the following formula:

s305: and determining the failure times of hundred kilometers per year according to the annual failure times of the target optical cable network and the total length of the relay section of the whole-network optical cable.

Here, the processor may determine a ratio of the number of annual faults to the total length of the optical cable trunk, and then determine the number of annual hundred kilometer faults based on the ratio.

For example, the processor may determine the number of hundreds of kilometers per year failures by the following formula:

s306: and determining a failure first-aid repair overtime accumulated value according to the preset standard recovery time length and the out-of-standard recovery time length failure duration of the optical cable relay section of each optical cable of the target optical cable network.

Here, the processor may determine a difference between the out-of-standard recovery time duration of the optical cable trunk of each optical cable and a preset standard recovery time duration, and further determine a failure repair timeout accumulated value according to the difference.

For example, the processor may determine the breakdown rush repair timeout accumulated value according to the following formula:

breakdown rush repair timeout accumulation ═ Σ (beyond standard recovery duration breakdown duration-standard recovery duration)

S307: and respectively determining an optical cable availability value, an optical cable attenuation coefficient value, a fiber core available state value, an optical cable service life limit value, a hundred kilometer year failure number value and a failure first-aid repair timeliness value of the target optical cable network according to the whole network optical cable availability ratio, the whole network optical cable attenuation coefficient, the whole network fiber core available state, the whole hundred kilometer year failure number and the failure first-aid repair overtime accumulated value.

S308: and determining the optical cable health degree of the target optical cable network according to the optical cable availability value, the optical cable attenuation coefficient value, the fiber core available state value, the optical cable service life limit value, the hundred kilometer year fault number value and the fault first-aid repair timeliness value.

S309: and determining the optical cable quality of the target optical cable network according to the optical cable health degree, and determining a target guidance scheme according to the optical cable quality of the target optical cable network, wherein the target guidance scheme comprises one or more of planning, construction and maintenance of the target optical cable network.

In steps S307 to S309, reference is made to the related description of steps S202 to S204, which is not repeated herein.

In the embodiment of the application, when the availability ratio of the whole-network optical cable, the attenuation coefficient of the whole-network optical cable, the available state of the whole-network fiber core, the service life of the whole-network optical cable, the hundred-kilometer-year failure times and the failure first-aid repair overtime accumulated value in the target optical cable network are obtained, a plurality of parameters in the target optical cable network are considered, so that the calculated data are more accurate, and the application requirements are met. Moreover, the embodiment of the application does not need manual participation, saves time and labor and improves the optical cable quality detection efficiency. According to the embodiment of the application, the intelligent detection on the quality of the optical cable is realized without depending on the experience of detection personnel, the fault removal efficiency of the optical cable can be improved, the optical performance of the fiber core in use can be mastered in real time, the existing optical cable network operation management capability evaluation system is perfected, the optical cable network planning construction is supported, and the evaluation management of operation and maintenance work is guided. In addition, the embodiment of the application detects the quality of the optical cable from multiple aspects, such as the optical cable availability ratio, the optical cable attenuation coefficient, the available state of the fiber core, the service life of the optical cable, the number of failures, the failure first-aid repair timeout accumulation and the like of the optical cable network, improves the accuracy of the detection result of the quality of the optical cable, and is suitable for application.

Here, as shown in fig. 4, the method for detecting quality of an optical cable provided in the embodiment of the present application may be understood as a method for establishing a health model of an optical cable. The processor can firstly determine the availability ratio of the whole Optical cable, the attenuation coefficient of the whole Optical cable, the available state of the whole fiber core, the service life of the whole Optical cable, the failure times of hundreds of kilometers per year and the failure emergency repair overtime accumulated value in the Optical cable network, further determine 6 index factors such as the Optical cable availability ratio, the Optical cable attenuation coefficient value, the fiber core available state value, the Optical cable service life limit value, the failure times of hundreds of kilometers per year and the failure emergency repair timeliness value in the model according to the data, further establish an Optical cable health degree model, and build an Optical Time Domain Reflectometer (EOTDR) function based on the splitting ratio of the Optical transmission equipment, plan, build and maintain the target Optical cable network, and can realize intelligent means such as real-Time monitoring of the Optical fiber indexes, quick positioning of the Optical cable failures and the like, can improve the Optical cable troubleshooting efficiency and master the Optical performance of the fiber core in real Time, the evaluation system of the operation management capability of the existing optical cable network is perfected, the planning construction of the optical cable network is supported, and the evaluation management of operation and maintenance work is guided.

Fig. 5 is a schematic structural diagram of an optical cable quality detection apparatus provided in an embodiment of the present application, corresponding to the optical cable quality detection method in the foregoing embodiment. For convenience of explanation, only portions related to the embodiments of the present application are shown. Fig. 5 is a schematic structural diagram of an optical cable quality detection apparatus according to an embodiment of the present application, where the optical cable quality detection apparatus 50 includes: an obtaining module 501, a first determining module 502, a second determining module 503, and a third determining module 504. The optical cable quality detection device may be the optical cable quality detection device itself, or a chip or an integrated circuit that implements the function of the optical cable quality detection device. It should be noted here that the division of the obtaining module, the first determining module, the second determining module, and the third determining module is only a division of logic functions, and the obtaining module, the first determining module, the second determining module, and the third determining module may be integrated or independent physically.

The obtaining module 501 is configured to obtain a total-network-cable availability ratio, a total-network-cable attenuation coefficient, a total-network-fiber-core availability state, a total-network-cable service life, a hundred-kilometer-year failure number, and a failure first-aid repair timeout accumulated value in a target optical cable network.

A first determining module 502, configured to determine, according to the entire-network-cable availability ratio, the entire-network-cable attenuation coefficient, the entire-network-fiber-core available state, the entire-network-cable service life, the hundred-kilometer-year failure times, and the failure-first-aid-repair timeout accumulated value, an optical-cable availability value, an optical-cable attenuation coefficient value, a fiber-core available state value, an optical-cable service life limit value, a hundred-kilometer-year failure number value, and a failure-first-aid-repair timeliness value of the target optical cable network, respectively.

A second determining module 503, configured to determine the optical cable health degree of the target optical cable network according to the optical cable availability value, the optical cable attenuation coefficient value, the fiber core available state value, the optical cable service life limit value, the hundreds of kilometers per year fault number value, and the fault first-aid repair timeliness value.

A third determining module 504, configured to determine, according to the optical cable health degree, the optical cable quality of the target optical cable network, and determine a target guidance scheme according to the optical cable quality of the target optical cable network, where the target guidance scheme includes one or more of planning, construction, and maintenance of the target optical cable network.

In a possible implementation manner, the obtaining module 501 is specifically configured to:

In a possible implementation manner, the first determining module 502 is specifically configured to:

In a possible implementation manner, the second determining module 503 is specifically configured to:

In a possible implementation manner, the third determining module 504 is specifically configured to:

The apparatus provided in the embodiment of the present application may be configured to implement the technical solution of the method embodiment, and the implementation principle and the technical effect are similar, which are not described herein again in the embodiment of the present application.

Alternatively, fig. 6 schematically provides a possible basic hardware architecture of the optical cable quality detection apparatus according to the present application.

Referring to fig. 6, the cable quality detection apparatus includes at least one processor 601 and a communication interface 603. Further optionally, a memory 602 and a bus 604 may also be included.

In the cable quality detection apparatus, the number of the processors 601 may be one or more, and fig. 6 only illustrates one of the processors 601. Alternatively, the processor 601 may be a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), or a Digital Signal Processor (DSP). If the cable quality inspection device has multiple processors 601, the types of the multiple processors 601 may be different, or may be the same. Optionally, the plurality of processors 601 of the optical cable quality detection apparatus may also be integrated into a multi-core processor.

Memory 602 stores computer instructions and data; the memory 602 may store computer instructions and data necessary to implement the cable quality detection methods provided herein, e.g., the memory 602 stores instructions for implementing the steps of the cable quality detection methods described above. The memory 602 may be any one or any combination of the following storage media: nonvolatile memory (e.g., Read Only Memory (ROM), Solid State Disk (SSD), hard disk (HDD), optical disk), volatile memory.

The communication interface 603 may provide information input/output for the at least one processor. Any one or any combination of the following devices may also be included: a network interface (e.g., an ethernet interface), a wireless network card, etc. having a network access function.

Optionally, the communication interface 603 may also be used for data communication between the optical cable quality detection apparatus and other computing devices or terminals.

Further alternatively, fig. 6 shows the bus 604 as a thick line. The bus 604 may connect the processor 601 with the memory 602 and the communication interface 603. Thus, via bus 604, processor 601 may access memory 602 and may also interact with other computing devices or terminals using communication interface 603.

In this application, the optical cable quality detection apparatus executes the computer instructions in the memory 602, so that the optical cable quality detection apparatus implements the optical cable quality detection method provided in this application, or deploys the optical cable quality detection apparatus.

From the viewpoint of logical functional division, illustratively, as shown in fig. 6, the memory 602 may include therein an obtaining module 501, a first determining module 502, a second determining module 503, and a third determining module 504. The inclusion herein merely refers to that the instructions stored in the memory may, when executed, implement the functions of the obtaining means, the first determining means, the second determining means and the third determining means, respectively, without limitation to physical structures.

In addition, the optical cable quality detection apparatus may be implemented by software as shown in fig. 6, or may be implemented by hardware as a hardware module or a circuit unit.

The present application provides a computer-readable storage medium, the computer program product comprising computer instructions that instruct a computing device to perform the above-described optical cable quality detection method provided herein.

The embodiment of the present application provides a computer program product, which includes computer instructions, where the computer instructions are executed by a processor to perform the foregoing optical cable quality detection method provided in the present application.

The present application provides a chip comprising at least one processor and a communication interface providing information input and/or output for the at least one processor. Further, the chip may also include at least one memory for storing computer instructions. The at least one processor is used for calling and running the computer instructions to execute the optical cable quality detection method provided by the application.

In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

Claims

1. An optical cable quality detection method, comprising:

2. The method of claim 1, wherein obtaining the total-network-cable availability, the total-network-cable attenuation coefficient, the total-network-fiber-core availability, the total-network-cable service life, the hundred-kilometer-year failure times, and the breakdown rush-repair timeout accumulated value in the target cable network comprises:

3. The method according to claim 1 or 2, wherein the determining an optical cable availability value, an optical cable attenuation coefficient value, a fiber core availability state value, an optical cable service life limit value, a hundred kilometer year failure number value and a fault first-aid repair timeliness value of the target optical cable network according to the optical cable availability ratio, the optical cable attenuation coefficient, the optical cable service life, the hundred kilometer year failure number and the fault first-aid repair time accumulation value respectively comprises:

4. The method of claim 1 or 2, wherein determining the cable health of the target cable network based on the cable availability value, the cable attenuation coefficient value, the core availability status value, the cable age limit, the number of hundred kilometer years of failure value, and the troubleshooting timeliness value comprises:

5. The method of claim 1 or 2, wherein determining the cable quality of the target cable network based on the cable health and determining the target guideline solution based on the cable quality of the target cable network comprises:

6. An optical cable quality detection device, comprising:

7. The apparatus according to claim 6, wherein the obtaining module is specifically configured to:

8. An optical cable quality detection apparatus, comprising:

a processor;

a memory; and

a computer program;

wherein the computer program is stored in the memory and configured to be executed by the processor, the computer program comprising instructions for performing the method of any of claims 1-5.

9. A computer-readable storage medium, characterized in that it stores a computer program that causes a server to execute the method of any one of claims 1-5.

10. A computer program product comprising computer instructions for executing the method of any one of claims 1 to 5 by a processor.