Optical cable network state evaluation method and system

Abstract

The invention relates to the technical field of optical cable networks, and discloses an optical cable network state evaluation method and system, and the method comprises the steps: carrying out the performance index monitoring, physical monitoring and environment monitoring, constructing an optical cable network collaborative evaluation model, carrying out the data comparison monitoring, and supervising the hardware equipment for monitoring the optical cable network. The system corresponds to the method. According to the invention, real-time evaluation of the optical cable network is realized through performance index monitoring, physical monitoring and environment monitoring, comprehensive evaluation of the optical cable network is realized through converting the monitoring results into performance and physical environment collaborative scores, and supervision of hardware equipment is realized through data detection. And long-term optical cable network evaluation is realized by obtaining historical performance physical environment collaborative scores and carrying out ring-to-ring ratio analysis. And finally, on the basis of effective fusion of the optical cable network data, optical cable network evaluation is comprehensively carried out for a long time, and hardware equipment for data acquisition can be effectively managed.

Description

Technical Field

[0001] The present application relates to the technical field of optical cable networks, and in particular to an optical cable network status evaluation method and system. Background Art

[0002] Optical cable networks are an important hardware foundation of modern communication networks, and evaluating their status is an important technical means to maintain their normal operation.

[0003] However, the existing optical cable status evaluation has the following technical defects:

[0004] 1. Focus on a single performance indicator;

[0005] 2. The collected data cannot be effectively integrated;

[0006] 3. Lack of long-term evaluation mechanism;

[0007] 4. There is a lack of effective management of hardware devices used to collect data in the network.

[0008] In summary, the existing technology urgently needs a technical solution that can achieve effective, comprehensive and long-term data integration and effectively manage the hardware equipment that collects data. Summary of the invention

[0009] The purpose of the present application is to provide a method and system for evaluating the status of an optical cable network to solve the technical problems raised in the above-mentioned background technology.

[0010] To achieve the above objectives, this application discloses the following technical solutions:

[0011] In a first aspect, the present application discloses a method for evaluating the state of an optical cable network, the method comprising:

[0012] S1: Perform performance indicator monitoring, the performance indicator monitoring includes optical signal monitoring and bit error rate monitoring, and obtain corresponding optical signal data and bit error rate data; the optical signal monitoring is used to monitor optical signal attenuation and issue an optical signal warning; the bit error rate monitoring is used to monitor the data transmission bit error rate and issue a bit error rate warning;

[0013] S2: Perform physical monitoring, which includes appearance monitoring and construction monitoring, and obtain corresponding appearance data and construction data; the appearance monitoring is used to monitor the appearance of the optical cable of the optical cable network and issue an appearance warning; the construction monitoring is used to monitor the construction around the optical cable network and issue a construction warning;

[0014] S3: Performing environmental monitoring, wherein the environmental monitoring is used to monitor the environmental state of the optical cable network and obtain corresponding temperature data and humidity data; the environmental monitoring is used to monitor the environment of the optical cable network and issue environmental warnings;

[0015] S4: Constructing an optical cable network collaborative evaluation model and performing data comparison monitoring, wherein the optical cable network collaborative evaluation model is configured to perform a performance physical environment collaborative evaluation based on the optical signal data, the bit error rate data, the appearance data, the construction data, the temperature data and the humidity data, perform data comparison monitoring on the evaluation results and issue a collaborative warning; and perform data detection, wherein the data detection is used to supervise the hardware equipment for monitoring the optical cable network.

[0016] Through the above, real-time evaluation of each link of the optical cable network is achieved by performing performance indicator monitoring, physical monitoring and environmental monitoring respectively. The results of performance indicator monitoring, physical monitoring and environmental monitoring are converted into performance-physical-environment collaborative scores through the optical cable network collaborative evaluation model to achieve comprehensive optical cable network evaluation. Hardware equipment is supervised through data detection, and long-term optical cable network evaluation is achieved by obtaining historical performance-physical-environment collaborative scores and conducting month-on-month analysis.

[0017] Preferably, the performance indicator monitoring specifically includes:

[0018] The optical signal monitoring specifically includes:

[0019] A corresponding optical power meter is arranged in the optical cable network to collect and obtain the corresponding optical signal data, wherein the optical signal data includes input optical power and output optical power, and obtain an optical signal attenuation coefficient;

[0020] A light signal attenuation coefficient threshold is preset, and when the real-time light signal attenuation coefficient is greater than the light signal attenuation coefficient threshold, the light signal warning is issued.

[0021] The bit error rate monitoring specifically includes:

[0022] A corresponding bit error rate tester is arranged in the optical cable network to collect and obtain the corresponding bit error rate data, wherein the bit error rate data includes the number of transmission error bits and the total number of transmission bits, and obtain the data transmission bit error rate;

[0023] A data transmission bit error rate threshold is preset, and when the real-time data transmission bit error rate is greater than the data transmission bit error rate threshold, the bit error rate warning is issued.

[0024] Preferably, the physical monitoring specifically includes:

[0025] Set up corresponding monitoring equipment in the optical cable network to collect corresponding appearance data and construction data;

[0026] Obtaining corresponding appearance monitoring results and construction monitoring results based on the appearance data and the construction data;

[0027] When the appearance monitoring result is abnormal, issuing the appearance warning;

[0028] When the construction monitoring result is abnormal, the construction warning is issued.

[0029] Preferably, the environmental monitoring specifically includes:

[0030] Corresponding temperature sensors and humidity sensors are set in the optical cable network to collect corresponding temperature data and humidity data;

[0031] A preset temperature threshold is set, and when the real-time temperature data does not fall within the temperature threshold, the environmental warning is issued;

[0032] A humidity threshold is preset, and the environmental warning is issued when real-time humidity data does not fall within the humidity threshold.

[0033] Preferably, the construction and operation of the performance-physical-environment collaborative evaluation model specifically includes the following steps:

[0034] A1: Construct a performance-physical environment collaborative evaluation mechanism, and store the performance-physical environment collaborative evaluation mechanism in the performance-physical environment collaborative evaluation model, wherein the performance-physical environment collaborative evaluation mechanism specifically includes:

[0035] Perform light signal scoring to obtain a light signal score S1, wherein the light signal scoring is specifically:

[0036] Preset standard attenuation range [α min ,α max ], get the real-time attenuation coefficient α now ;

[0037] When α now ≤α min When S1=S best ;

[0038] When α min <α now <α max hour,

[0039] When α now >α max When S1=S worst ;

[0040] The bit error rate is scored to obtain a bit error rate score S2, wherein the bit error rate scoring is specifically:

[0041] Preset standard bit error rate threshold BER TH , get the real-time bit error rate BER now ;

[0042] When BER now ≤BER TH When S2=S best ;

[0043] When BER now >BER TH hour,

[0044] Perform an appearance score to obtain an appearance score S3, wherein the appearance score is specifically:

[0045] When the appearance is normal, S3 = S best ;

[0046] When the appearance is critical, S3 = S middle ;

[0047] When the appearance is abnormal, S3 = S worst ;

[0048] Perform construction scoring to obtain a construction score S4, wherein the construction scoring is specifically:

[0049] When there is no construction, S4=S best ;

[0050] When the construction is critical, S4 = S middle ; Among them, critical construction specifically means that there is construction and the construction is recorded;

[0051] When the construction is abnormal, S4 = S worst ; Among them, abnormal construction specifically means that there is construction and there is no record of the construction;

[0052] Perform temperature scoring to obtain a temperature score S5, wherein the temperature scoring is specifically:

[0053] Get the temperature threshold [TEM min ,TEM max ], get the real-time temperature TEM now ;

[0054] When TEM now ∈[TEM min ,TEM max ]hour,

[0055] when When S5=S worst ;

[0056] Perform humidity scoring to obtain humidity score S6, wherein the humidity scoring is specifically:

[0057] Get the humidity threshold [HUM min,HUM max ], get real-time humidity HUM now ;

[0058] When HUM now ∈[HUM min ,HUM max ]hour,

[0059] when When S6=S worst ;

[0060] Computing performance physical environment collaboration score S SYN =β n *S n ,n=(1,2,3,4,5,6),∑β n =1;

[0061] Among them, β n is the corresponding weight parameter, ∑ is the summation symbol, S n is the score of the corresponding number, S worst is the worst score, S middle is the middle score, S best is the optimal score, min is the minimum symbol, and max is the maximum symbol;

[0062] A2: After obtaining real-time optical signal data, real-time bit error rate data, real-time appearance data, real-time construction data, real-time temperature data and real-time humidity data, input them into the performance-physical environment collaborative evaluation model, and run the model to obtain a real-time performance-physical environment collaborative score;

[0063] A3: Obtain the last two historical performance-physical-environment coordination scores of the neighbor, calculate the month-on-month values ​​of the two performance-physical-environment coordination scores, and compare the two consecutive month-on-month changes to obtain the month-on-month comparison result;

[0064] A4: Determine whether to issue the collaborative warning based on the month-on-month comparison result.

[0065] Preferably, the performance-physical-environment collaborative evaluation model further includes:

[0066] In step A2, perform the following steps:

[0067] A21: respectively obtaining corresponding historical data for the acquired real-time optical signal data, the real-time bit error rate data, the real-time appearance data, the real-time construction data, the real-time temperature data, and the real-time humidity data, to obtain an optical signal data set, a bit error rate data set, an appearance data set, a construction data set, a temperature data set, and a humidity data set;

[0068] A22: Perform corresponding data detection on the optical signal dataset, the bit error rate dataset, the appearance dataset, the construction dataset, the temperature dataset, and the humidity dataset, respectively, mark the hardware devices corresponding to the datasets that fail the data detection, and issue a hardware warning.

[0069] In a second aspect, the present application discloses a system for evaluating the state of an optical cable network, the system being applicable to the method for evaluating the state of an optical cable network as described in any one of the above items, the system comprising:

[0070] A front-end monitoring module, comprising a performance indicator monitoring unit, a physical monitoring unit and an environment monitoring unit;

[0071] An optical cable network collaborative evaluation model, wherein the optical cable network collaborative evaluation model is configured to construct an optical cable network collaborative evaluation model and use the model to perform performance physical environment collaborative evaluation and hardware early warning;

[0072] A decision support module, wherein the decision support unit is configured to receive and output the operation results of the performance indicator monitoring unit, the physical monitoring unit, the environmental monitoring unit and the optical cable network collaborative evaluation model;

[0073] The front-end monitoring module and the optical cable network collaborative evaluation model are both communicatively connected to the decision support module, and the front-end monitoring module is also communicatively connected to the optical cable network collaborative evaluation model.

[0074] Preferably, the performance indicator monitoring unit is configured as follows: a corresponding optical power meter is set in the optical cable network to collect and obtain the corresponding optical signal data, wherein the optical signal data includes input optical power and output optical power, and obtains an optical signal attenuation coefficient;

[0075] A threshold value of an optical signal attenuation coefficient is preset, and when the real-time optical signal attenuation coefficient is greater than the threshold value of the optical signal attenuation coefficient, the optical signal warning is issued;

[0076] The performance indicator monitoring unit is further configured to: set a corresponding bit error rate tester in the optical cable network, collect and obtain the corresponding bit error rate data, the bit error rate data includes the number of transmission error bits and the total number of transmission bits, and obtain the data transmission bit error rate;

[0077] A data transmission bit error rate threshold is preset, and when the real-time data transmission bit error rate is greater than the data transmission bit error rate threshold, the bit error rate warning is issued;

[0078] The physical monitoring unit is configured to: set corresponding monitoring equipment in the optical cable network to collect corresponding appearance data and construction data;

[0079] Obtaining corresponding appearance monitoring results and construction monitoring results based on the appearance data and the construction data;

[0080] When the appearance monitoring result is abnormal, issuing the appearance warning;

[0081] When the construction monitoring result is abnormal, issuing the construction warning;

[0082] Corresponding temperature sensors and humidity sensors are set in the optical cable network to collect corresponding temperature data and humidity data;

[0083] A preset temperature threshold is set, and when the real-time temperature data does not fall within the temperature threshold, the environmental warning is issued;

[0084] A humidity threshold is preset, and the environmental warning is issued when real-time humidity data does not fall within the humidity threshold.

[0085] Preferably, the optical cable network collaborative evaluation model is further configured as follows:

[0086] Build a performance-physical environment collaborative evaluation mechanism to perform optical signal scoring, bit error rate scoring, appearance scoring, construction scoring, temperature scoring, and humidity scoring, and calculate the performance-physical environment collaborative score;

[0087] Construct optical signal datasets, bit error rate datasets, appearance datasets, construction datasets, temperature datasets, and humidity datasets, perform corresponding data detection on them, mark the hardware devices corresponding to the datasets that fail the data detection, and issue hardware warnings.

[0088] Preferably, the decision support module is further configured as follows:

[0089] Receive any one or more of the optical signal warning, the bit error rate warning, the appearance warning, the construction warning, the environment warning and the collaborative warning, and output the warning and the corresponding warning occurrence time and hardware equipment to the administrator.

[0090] Beneficial effects: The optical cable network status evaluation method and system of the present application realizes real-time evaluation of each link of the optical cable network by performing performance indicator monitoring, physical monitoring and environmental monitoring respectively, and converts the results of performance indicator monitoring, physical monitoring and environmental monitoring into performance physical environment collaborative scores through the optical cable network collaborative evaluation model, thereby realizing comprehensive optical cable network evaluation, and realizing supervision of hardware equipment through data detection, and realizing long-term optical cable network evaluation by obtaining historical performance physical environment collaborative scores and conducting month-on-month analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0091] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without paying any creative work.

[0092] Figure 1 A flowchart of a method for evaluating the state of an optical cable network provided in an embodiment of the present application;

[0093] Figure 2 A schematic block diagram of an optical cable network status evaluation system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0094] The technical solutions in the embodiments of the present application are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application.

[0095] In this article, the term "comprising" is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of more restrictions, the elements defined by the sentence "comprising..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0096] In a first aspect, this embodiment discloses Figure 1 A method for evaluating the state of an optical cable network is shown, the method comprising:

[0097] S1: Perform performance indicator monitoring, which includes optical signal monitoring and bit error rate monitoring, and obtain corresponding optical signal data and bit error rate data; optical signal monitoring is used to monitor optical signal attenuation and issue optical signal warnings; bit error rate monitoring is used to monitor data transmission bit error rate and issue bit error rate warnings.

[0098] S2: Conduct physical monitoring, which includes appearance monitoring and construction monitoring, and obtain corresponding appearance data and construction data; appearance monitoring is used to monitor the appearance of the optical cables of the optical cable network and issue appearance warnings; construction monitoring is used to monitor the construction around the optical cable network and issue construction warnings.

[0099] S3: Perform environmental monitoring. Environmental monitoring is used to monitor the environmental status of the optical cable network and obtain corresponding temperature data and humidity data. Environmental monitoring is used to monitor the environment of the optical cable network and issue environmental warnings.

[0100] S4: Construct a collaborative evaluation model for the optical cable network and conduct data comparison monitoring. The collaborative evaluation model for the optical cable network is configured to conduct a collaborative evaluation of the performance and physical environment based on optical signal data, bit error rate data, appearance data, construction data, temperature data, and humidity data. The evaluation results are monitored by data comparison and a collaborative warning is issued. Data detection is performed, and data detection is used to supervise the hardware equipment used for optical cable network monitoring.

[0101] By performing performance indicator monitoring, physical monitoring and environmental monitoring respectively, real-time evaluation of each link of the optical cable network can be achieved. The results of performance indicator monitoring, physical monitoring and environmental monitoring are converted into performance-physical-environment collaborative scores through the optical cable network collaborative evaluation model to achieve comprehensive optical cable network evaluation. Hardware equipment can be supervised through data detection. Long-term optical cable network evaluation can be achieved by obtaining historical performance-physical-environment collaborative scores and conducting month-on-month analysis.

[0102] Specifically, performance indicator monitoring includes:

[0103] Optical signal monitoring, including:

[0104] A corresponding optical power meter is set in the optical cable network to collect corresponding optical signal data, the optical signal data including input optical power and output optical power, and obtain an optical signal attenuation coefficient; it should be noted that the optical signal attenuation coefficient calculated in this embodiment can be any one of the existing optical signal attenuation coefficient calculation methods.

[0105] A threshold value of the optical signal attenuation coefficient is preset, and when the real-time optical signal attenuation coefficient is greater than the threshold value of the optical signal attenuation coefficient, an optical signal warning is issued; it should be noted that the optical signal monitoring in this embodiment is intended to achieve real-time evaluation of the optical cable network based on real-time optical signal data, and to achieve comprehensive monitoring in both real-time and long-term time dimensions. The bit error rate monitoring, physical monitoring and environmental monitoring in this text have the same purpose as the optical signal monitoring here, and this text will not repeat them.

[0106] Bit error rate monitoring, including:

[0107] A corresponding bit error rate tester is set in the optical cable network to collect corresponding bit error rate data, the bit error rate data includes the number of transmission error bits and the total number of transmission bits, and the data transmission bit error rate is obtained.

[0108] A data transmission bit error rate threshold is preset, and when the real-time data transmission bit error rate is greater than the data transmission bit error rate threshold, a bit error rate warning is issued; it should be noted that the data transmission bit error rate calculated in this embodiment can be any one of the existing data transmission bit error rate calculation methods.

[0109] Specifically, physical monitoring includes:

[0110] Corresponding monitoring equipment is set up in the optical cable network to collect corresponding appearance data and construction data.

[0111] Based on the appearance data and the construction data, corresponding appearance monitoring results and construction monitoring results are obtained.

[0112] An appearance warning is issued when the appearance monitoring result is abnormal; it should be noted that the appearance monitoring in this embodiment is an indicator for monitoring the appearance that is well known to technical personnel in this field, such as whether there is bending, damage or stretching; and the monitoring method is any one of the existing video processing technologies.

[0113] A construction warning is issued when the construction monitoring result is abnormal. It should be noted that in actual applications, the environment in which the optical cable network is located will more or less experience construction and be affected by construction. In this embodiment, the basis for judging whether the implementation of the construction is abnormal is whether the construction is recorded. For example, the monitoring results show that there is construction, but there is no corresponding construction record after inquiry, then the current construction is judged to be abnormal.

[0114] Specifically, environmental monitoring includes:

[0115] Corresponding temperature sensors and humidity sensors are set in the optical cable network to collect corresponding temperature data and humidity data.

[0116] The temperature threshold is preset, and an environmental warning is issued when the real-time temperature data does not fall within the temperature threshold.

[0117] The humidity threshold is preset, and an environmental warning is issued when the real-time humidity data does not fall within the humidity threshold.

[0118] Specifically, the construction and operation of the performance-physical-environment collaborative evaluation model includes the following steps:

[0119] A1: Construct a performance-physical environment collaborative evaluation mechanism and store the performance-physical environment collaborative evaluation mechanism in a performance-physical environment collaborative evaluation model. The performance-physical environment collaborative evaluation mechanism specifically includes:

[0120] Perform light signal scoring to obtain a light signal score S1. The light signal scoring is specifically performed as follows:

[0121] Preset standard attenuation range [α min ,α max], get the real-time attenuation coefficient α now .

[0122] When α now ≤α min When S1=S best .

[0123] When α min <α now <α max hour,

[0124] When α now >α max When S1=S worst .

[0125] The bit error rate is scored to obtain a bit error rate score S2. The bit error rate score is specifically:

[0126] Preset standard bit error rate threshold BER TH , get the real-time bit error rate BER now .

[0127] When BER now ≤BER TH When S2=S best .

[0128] When BER now >BER TH hour,

[0129] Perform an appearance score to obtain an appearance score S3. The appearance score is specifically as follows:

[0130] When the appearance is normal, S3 = S best .

[0131] When the appearance is critical, S3 = S middle .

[0132] When the appearance is abnormal, S3 = S worst .

[0133] Perform construction scoring to obtain construction score S4. The construction scoring is specifically as follows:

[0134] When there is no construction, S4=S best .

[0135] When the construction is critical, S4 = S middle ; Among them, critical construction specifically means that there is construction and the construction is recorded.

[0136] When the construction is abnormal, S4 = S worst; Among them, abnormal construction specifically means that there is construction but the construction has not been recorded.

[0137] Perform temperature scoring to obtain a temperature score S5. The temperature scoring is specifically as follows:

[0138] Get the temperature threshold [TEM min ,TEM max ], get the real-time temperature TEM now .

[0139] When TEM now ∈[TEM min ,TEM max ]hour,

[0140] when When S5=S worst .

[0141] The humidity score is performed to obtain a humidity score S6. The humidity score is specifically:

[0142] Get humidity threshold [HUM min ,HUM max ], get real-time humidity HUM now .

[0143] When HUM now ∈[HUM min ,HUM max ]hour,

[0144] when When S6=S worst .

[0145] Computing performance physical environment collaboration score S SYN =β n *S n ,n=(1,2,3,4,5,6),∑β n =1, effective integration of data is achieved through performance-physical-environment collaborative scoring.

[0146] Among them, β n is the corresponding weight parameter, ∑ is the summation symbol, S n is the score of the corresponding number, S worst is the worst score, S middle is the middle score, S best is the optimal score, min is the minimum symbol, and max is the maximum symbol; in a simple example, S worst =50, S middle =80, S best =100.

[0147] A2: After obtaining real-time optical signal data, real-time bit error rate data, real-time appearance data, real-time construction data, real-time temperature data, and real-time humidity data, input them into the performance-physical environment collaborative evaluation model, and run the model to obtain the real-time performance-physical environment collaborative score.

[0148] A3: Obtain the last two historical performance physical environment collaborative scores of the neighbors, and calculate the month-on-month value of the two performance physical environment collaborative scores. It should be noted that this embodiment is provided with a corresponding monitoring cycle. In this step, the performance physical environment collaborative scorer for three consecutive monitoring cycles is analyzed as a whole, and two consecutive month-on-month changes are compared to obtain the month-on-month comparison result. In a simple example, for example, if two consecutive month-on-month changes are both on an upward trend, the current state of the optical cable network is abnormal.

[0149] A4: Whether to issue a coordinated warning is determined based on the month-on-month comparison results, that is, the judgment of the growth rate. When the month-on-month growth is abnormal, it is abnormal; when the month-on-month growth is flat or decreases, it is normal.

[0150] Specifically, the performance-physical-environment collaborative evaluation model also includes:

[0151] In step A2, perform the following steps:

[0152] A21: Corresponding historical data are obtained for the acquired real-time optical signal data, real-time bit error rate data, real-time appearance data, real-time construction data, real-time temperature data, and real-time humidity data, respectively, to obtain an optical signal data set, a bit error rate data set, an appearance data set, a construction data set, a temperature data set, and a humidity data set.

[0153] A22: Perform corresponding data detection on the optical signal data set, bit error rate data set, appearance data set, construction data set, temperature data set and humidity data set respectively, mark the hardware devices corresponding to the data sets that fail the data detection and issue a hardware warning; it should be noted that the data detection of the corresponding data sets generated by the hardware devices in this embodiment is any one of the existing corresponding data detection methods, and aims to achieve effective supervision of the hardware devices through the performance-physical environment collaborative evaluation model.

[0154] In a second aspect, this embodiment discloses Figure 2 An optical cable network status evaluation system is shown, the system is applicable to the optical cable network status evaluation method as described in any one of the above items, and the system comprises:

[0155] The front-end monitoring module includes a performance indicator monitoring unit, a physical monitoring unit and an environmental monitoring unit.

[0156] The optical cable network collaborative evaluation model is configured to build an optical cable network collaborative evaluation model, and use the model to perform performance and physical environment collaborative evaluation and hardware early warning.

[0157] The decision support module, the decision support unit is configured to receive and output the operation results of the performance indicator monitoring unit, the physical monitoring unit, the environmental monitoring unit and the optical cable network collaborative evaluation model.

[0158] The front-end monitoring module and the optical cable network collaborative evaluation model are both connected in communication with the decision support module, and the front-end monitoring module is also connected in communication with the optical cable network collaborative evaluation model.

[0159] Specifically, the performance indicator monitoring unit is configured as follows: a corresponding optical power meter is set in the optical cable network, corresponding optical signal data is collected, the optical signal data includes input optical power and output optical power, and an optical signal attenuation coefficient is obtained.

[0160] A light signal attenuation coefficient threshold is preset, and when the real-time light signal attenuation coefficient is greater than the light signal attenuation coefficient threshold, an light signal warning is issued.

[0161] The performance indicator monitoring unit is further configured to: set a corresponding bit error rate tester in the optical cable network, collect corresponding bit error rate data, the bit error rate data includes the number of transmission error bits and the total number of transmission bits, and obtain the data transmission bit error rate;

[0162] A data transmission bit error rate threshold is preset. When the real-time data transmission bit error rate is greater than the data transmission bit error rate threshold, a bit error rate warning is issued.

[0163] The physical monitoring unit is configured as follows: corresponding monitoring equipment is set up in the optical cable network to collect corresponding appearance data and construction data.

[0164] Based on the appearance data and the construction data, corresponding appearance monitoring results and construction monitoring results are obtained.

[0165] When the appearance monitoring result is abnormal, an appearance warning is issued.

[0166] When the construction monitoring results are abnormal, a construction warning will be issued.

[0167] Corresponding temperature sensors and humidity sensors are set in the optical cable network to collect corresponding temperature data and humidity data.

[0168] The temperature threshold is preset, and an environmental warning is issued when the real-time temperature data does not fall within the temperature threshold.

[0169] The humidity threshold is preset, and an environmental warning is issued when the real-time humidity data does not fall within the humidity threshold.

[0170] Specifically, the optical cable network collaborative evaluation model is further configured as follows:

[0171] Build a performance-physical environment collaborative evaluation mechanism to conduct optical signal scoring, bit error rate scoring, appearance scoring, construction scoring, temperature scoring, and humidity scoring, and calculate the performance-physical environment collaborative score.

[0172] Construct optical signal datasets, bit error rate datasets, appearance datasets, construction datasets, temperature datasets, and humidity datasets, perform corresponding data detection on them, mark the hardware devices corresponding to the datasets that fail the data detection, and issue hardware warnings.

[0173] Specifically, the decision support module is also configured as:

[0174] Receive any one or more of the optical signal warning, bit error rate warning, appearance warning, construction warning, environment warning and collaborative warning, and output the warning and the corresponding warning occurrence time and hardware equipment to the administrator.

[0175] It should be noted that the optical cable network status evaluation system in this embodiment corresponds to the aforementioned optical cable network status evaluation method. Therefore, the contents not specifically described in the optical cable network status evaluation system of this embodiment, including but not limited to specific functional definitions, working principles and technical effects, are the same as those in the aforementioned optical cable network evaluation method and will not be elaborated in this text.

[0176] In summary, the optical cable network status evaluation method and system of the present embodiment realizes real-time evaluation of each link of the optical cable network by performing performance indicator monitoring, physical monitoring and environmental monitoring respectively, and converts the results of performance indicator monitoring, physical monitoring and environmental monitoring into performance-physical-environment collaborative scores through the optical cable network collaborative evaluation model, thereby realizing comprehensive optical cable network evaluation, and realizing supervision of hardware equipment through data detection, and realizing long-term optical cable network evaluation by obtaining historical performance-physical-environment collaborative scores and performing month-on-month analysis.

[0177] In the embodiments provided in the present application, it should be understood that the embodiments described herein can be implemented in hardware, software, firmware, middleware, code or any appropriate combination thereof. For hardware implementation, the processor can be implemented in one or more of the following units: application specific integrated circuit (ASIC), digital signal processor (DSP), digital signal processing device (DSPD), programmable logic device (PLD), field programmable gate array (FPGA), processor, controller, microcontroller, microprocessor, other electronic units designed to implement the functions described herein or their combination. For software implementation, part or all of the flow of the embodiment can be completed by instructing the relevant hardware through a computer program. When implemented, the above program can be stored in a computer-readable storage medium or transmitted as one or more instructions or codes on a computer-readable storage medium. Computer-readable storage media include computer storage media and communication media, wherein the communication medium includes any medium that is convenient for transmitting a computer program from one place to another. The storage medium can be any available medium that a computer can access. The computer-readable storage medium can include but is not limited to RAM, ROM, EEPROM, CD-ROM or other optical disk storage, disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of an instruction or data structure and can be accessed by a computer.

[0178] Finally, it should be noted that the above is only a preferred embodiment of the present application and is not intended to limit the present application. Although the present application has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method for evaluating the state of an optical cable network, characterized in that: The method includes: S1: Perform performance indicator monitoring, the performance indicator monitoring includes optical signal monitoring and bit error rate monitoring, and obtain corresponding optical signal data and bit error rate data; the optical signal monitoring is used to monitor optical signal attenuation and issue an optical signal warning; the bit error rate monitoring is used to monitor the data transmission bit error rate and issue a bit error rate warning; S2: Perform physical monitoring, which includes appearance monitoring and construction monitoring, and obtain corresponding appearance data and construction data; the appearance monitoring is used to monitor the appearance of the optical cable of the optical cable network and issue an appearance warning; the construction monitoring is used to monitor the construction around the optical cable network and issue a construction warning; S3: Performing environmental monitoring, wherein the environmental monitoring is used to monitor the environmental state of the optical cable network and obtain corresponding temperature data and humidity data; the environmental monitoring is used to monitor the environment of the optical cable network and issue environmental warnings; S4: Constructing an optical cable network collaborative evaluation model and performing data comparison monitoring, wherein the optical cable network collaborative evaluation model is configured to perform a performance physical environment collaborative evaluation based on the optical signal data, the bit error rate data, the appearance data, the construction data, the temperature data and the humidity data, perform data comparison monitoring on the evaluation results and issue a collaborative warning; and perform data detection, wherein the data detection is used to supervise the hardware equipment for monitoring the optical cable network.

2. The optical cable network status evaluation method according to claim 1, characterized in that: The performance indicator monitoring specifically includes: The optical signal monitoring specifically includes: A corresponding optical power meter is arranged in the optical cable network to collect and obtain the corresponding optical signal data, wherein the optical signal data includes input optical power and output optical power, and obtain an optical signal attenuation coefficient; A light signal attenuation coefficient threshold is preset, and when the real-time light signal attenuation coefficient is greater than the light signal attenuation coefficient threshold, the light signal warning is issued. The bit error rate monitoring specifically includes: A corresponding bit error rate tester is arranged in the optical cable network to collect and obtain the corresponding bit error rate data, wherein the bit error rate data includes the number of transmission error bits and the total number of transmission bits, and obtain the data transmission bit error rate; A data transmission bit error rate threshold is preset, and when the real-time data transmission bit error rate is greater than the data transmission bit error rate threshold, the bit error rate warning is issued.

3. The optical cable network status evaluation method according to claim 1, characterized in that: The physical monitoring specifically includes: Set up corresponding monitoring equipment in the optical cable network to collect corresponding appearance data and construction data; Obtaining corresponding appearance monitoring results and construction monitoring results based on the appearance data and the construction data; When the appearance monitoring result is abnormal, issuing the appearance warning; When the construction monitoring result is abnormal, the construction warning is issued.

4. The optical cable network status evaluation method according to claim 1, characterized in that: The environmental monitoring specifically includes: Corresponding temperature sensors and humidity sensors are set in the optical cable network to collect corresponding temperature data and humidity data; A preset temperature threshold is set, and when the real-time temperature data does not fall within the temperature threshold, the environmental warning is issued; A humidity threshold is preset, and the environmental warning is issued when real-time humidity data does not fall within the humidity threshold.

5. The optical cable network status evaluation method according to claim 1, characterized in that: The construction and operation of the performance-physical-environment collaborative evaluation model, specifically The following steps are involved: A1: Construct a performance-physical environment collaborative evaluation mechanism, and store the performance-physical environment collaborative evaluation mechanism in the performance-physical environment collaborative evaluation model, wherein the performance-physical environment collaborative evaluation mechanism specifically includes: Perform light signal scoring to obtain a light signal score S1, wherein the light signal scoring is specifically: Preset standard attenuation range [α min ,α max ], get the real-time attenuation coefficient α now ; When α now ≤α min When S1=S best ; Yes min <a now <a max when When α now >α max When S1=S worst ; The bit error rate is scored to obtain a bit error rate score S2, wherein the bit error rate scoring is specifically: Preset standard bit error rate threshold BER TH , get the real-time bit error rate BER now ; When BER now ≤BER TH When S2=S best ; When BER now >BER TH hour, Perform an appearance score to obtain an appearance score S3, wherein the appearance score is specifically: When the appearance is normal, S3 = S best ; When the appearance is critical, S3 = S middle ; When the appearance is abnormal, S3 = S worst ; Perform construction scoring to obtain a construction score S4, wherein the construction scoring is specifically: When there is no construction, S4=S best ; When the construction is critical, S4 = S middle ; Among them, critical construction specifically means that there is construction and the construction is recorded; When the construction is abnormal, S4 = S worst ; Among them, abnormal construction specifically means that there is construction and there is no record of the construction; Perform temperature scoring to obtain a temperature score S5, wherein the temperature scoring is specifically: Get the temperature threshold [TEM min ,TEM max ], get the real-time temperature TEM now ; When TEM now ∈[TEM min ,TEM max ]hour, when When S5=S worst ; Perform humidity scoring to obtain humidity score S6, wherein the humidity scoring is specifically: Get the humidity threshold [HUM min ,HUM max ], get real-time humidity HUM now ; When HUM now ∈[HUM min ,HUM max ]hour, when When S6=S worst ; Computing performance physical environment collaboration score S SYN =β n *S n ,n=(1,2,3,4,5,6),∑β n =1; Among them, β n is the corresponding weight parameter, ∑ is the summation symbol, S n is the score of the corresponding number, S worst is the worst score, S middle is the middle score, S best is the optimal score, min is the minimum symbol, and max is the maximum symbol; A2: After obtaining real-time optical signal data, real-time bit error rate data, real-time appearance data, real-time construction data, real-time temperature data and real-time humidity data, input them into the performance-physical environment collaborative evaluation model, and run the model to obtain a real-time performance-physical environment collaborative score; A3: Obtain the last two historical performance-physical-environment coordination scores of the neighbor, calculate the month-on-month values ​​of the two performance-physical-environment coordination scores, and compare the two consecutive month-on-month changes to obtain the month-on-month comparison result; A4: Determine whether to issue the collaborative warning based on the month-on-month comparison result.

6. The optical cable network status evaluation method according to claim 5, characterized in that: The performance-physical-environment collaborative evaluation model further includes: In step A2, perform the following steps: A21: respectively obtaining corresponding historical data for the acquired real-time optical signal data, the real-time bit error rate data, the real-time appearance data, the real-time construction data, the real-time temperature data, and the real-time humidity data, to obtain an optical signal data set, a bit error rate data set, an appearance data set, a construction data set, a temperature data set, and a humidity data set; A22: Perform corresponding data detection on the optical signal dataset, the bit error rate dataset, the appearance dataset, the construction dataset, the temperature dataset, and the humidity dataset, respectively, mark the hardware devices corresponding to the datasets that fail the data detection, and issue a hardware warning.

7. An optical cable network status evaluation system, the system being applicable to the optical cable network status evaluation method as claimed in any one of claims 1 to 6, characterized in that: The system includes: A front-end monitoring module, comprising a performance indicator monitoring unit, a physical monitoring unit and an environment monitoring unit; An optical cable network collaborative evaluation model, wherein the optical cable network collaborative evaluation model is configured to construct an optical cable network collaborative evaluation model and use the model to perform performance physical environment collaborative evaluation and hardware early warning; A decision support module, wherein the decision support unit is configured to receive and output the operation results of the performance indicator monitoring unit, the physical monitoring unit, the environmental monitoring unit and the optical cable network collaborative evaluation model; The front-end monitoring module and the optical cable network collaborative evaluation model are both communicatively connected to the decision support module, and the front-end monitoring module is also communicatively connected to the optical cable network collaborative evaluation model.

8. The optical cable network status evaluation method according to claim 7, characterized in that: The performance indicator monitoring unit is configured to: set a corresponding optical power meter in the optical cable network, collect and obtain the corresponding optical signal data, the optical signal data includes input optical power and output optical power, and obtain the optical signal attenuation coefficient; A threshold value of an optical signal attenuation coefficient is preset, and when the real-time optical signal attenuation coefficient is greater than the threshold value of the optical signal attenuation coefficient, the optical signal warning is issued; The performance indicator monitoring unit is further configured to: set a corresponding bit error rate tester in the optical cable network, collect and obtain the corresponding bit error rate data, the bit error rate data includes the number of transmission error bits and the total number of transmission bits, and obtain the data transmission bit error rate; A data transmission bit error rate threshold is preset, and when the real-time data transmission bit error rate is greater than the data transmission bit error rate threshold, the bit error rate warning is issued; The physical monitoring unit is configured to: set corresponding monitoring equipment in the optical cable network to collect corresponding appearance data and construction data; Obtaining corresponding appearance monitoring results and construction monitoring results based on the appearance data and the construction data; When the appearance monitoring result is abnormal, issuing the appearance warning; When the construction monitoring result is abnormal, issuing the construction warning; Corresponding temperature sensors and humidity sensors are set in the optical cable network to collect corresponding temperature data and humidity data; A preset temperature threshold is set, and when the real-time temperature data does not fall within the temperature threshold, the environmental warning is issued; A humidity threshold is preset, and the environmental warning is issued when real-time humidity data does not fall within the humidity threshold.

9. The optical cable network status evaluation method according to claim 7, characterized in that: The optical cable network collaborative evaluation model is also configured as follows: Build a performance-physical environment collaborative evaluation mechanism to perform optical signal scoring, bit error rate scoring, appearance scoring, construction scoring, temperature scoring, and humidity scoring, and calculate the performance-physical environment collaborative score; Construct optical signal datasets, bit error rate datasets, appearance datasets, construction datasets, temperature datasets, and humidity datasets, perform corresponding data detection on them, mark the hardware devices corresponding to the datasets that fail the data detection, and issue hardware warnings.

10. The optical cable network status evaluation method according to claim 7, characterized in that: The decision support module is also configured to: Receive any one or more of the optical signal warning, the bit error rate warning, the appearance warning, the construction warning, the environment warning and the collaborative warning, and output the warning and the corresponding warning occurrence time and hardware equipment to the administrator.

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