Optical cable equipment anomaly detection method and device

Abstract

The application discloses a kind of optical cable equipment anomaly detection method and device, it is related to power supply equipment technical field, main purpose is to solve the problem of low efficiency of existing optical cable detection.The method comprises the following steps: sending path determination instruction to each transformer substation, and receiving the optical cable transmission target fed back by each transformer substation, constructing optical cable topology network by optical cable transmission target;Determine optical cable scheduling detection strategy according to preset time interval, and determine optical cable detection object from optical cable topology network based on optical cable scheduling detection strategy;Send time domain reflection instruction to the target transformer substation corresponding to the optical cable detection object, to receive the optical cable attenuation information fed back, and the target transformer substation is configured with corresponding optical time domain reflection detection equipment;The optical power, error code parameter and early warning weight value of the optical cable are obtained, and whether the optical cable exists abnormal detection is determined according to the optical cable attenuation information, optical power, error code parameter and early warning weight value, to obtain detection result.

Description

Technical Field

[0001] This invention relates to the field of power supply equipment technology, and in particular to a method and apparatus for detecting abnormalities in optical cable equipment. Background Technology

[0002] Optical fiber cables are among the most expensive power supply devices. Line faults in optical fiber communication are more prominent than equipment faults. More than half of all transmission accidents are caused by transmission medium failures, primarily optical fiber cables, accounting for over 90% of downtime. The economic losses caused by optical fiber communication failures each year are enormous, demonstrating that optical fiber cables are a major factor affecting network security. Testing of optical fiber equipment typically includes connectivity testing, end-to-end loss testing, transmit / receive power testing, and reflection loss testing.

[0003] Currently, existing methods for inspecting optical cable equipment typically rely on traditional optical time-domain reflectometers (OTDRs) and other testing equipment to detect cable breaks on-site during optical cable line maintenance and management. However, because optical cable inspection systems consist of multiple parts, their reliability is poor, their response speed to faults is subjective and human intervention is required, fault location is very difficult, and on-site troubleshooting takes a long time, making it impossible to accurately predict potential problems, thus affecting the normal operation of the optical cable. Summary of the Invention

[0004] In view of this, the present invention provides a method and apparatus for detecting abnormalities in optical cable equipment, the main purpose of which is to solve the problem of low efficiency in existing optical cable detection.

[0005] According to one aspect of the present invention, a method for detecting anomalies in optical cable equipment is provided, comprising:

[0006] Send path determination instructions to each substation and receive optical cable transmission targets from each substation. Construct an optical cable topology network through the optical cable transmission targets. The optical cable topology network contains at least one optical cable path, and the optical cable path includes optical cable size information and transmission characteristic information.

[0007] The optical cable scheduling and detection strategy is determined according to a preset time interval, and the optical cable detection object is determined from the optical cable topology network based on the optical cable scheduling and detection strategy.

[0008] Send a time-domain reflectometry (TDDR) off command to the target substation corresponding to the optical cable being detected, and receive feedback optical cable attenuation information. The target substation is equipped with a corresponding optical time-domain reflectometry (OTDR) detection device.

[0009] The optical power, bit error rate, and warning weight value of the optical cable are obtained, and the presence of any abnormality in the optical cable is determined based on the optical cable attenuation information, the optical power, the bit error rate, and the warning weight value, thus obtaining the detection result.

[0010] According to another aspect of the present invention, an optical cable equipment anomaly detection device is provided, comprising:

[0011] The receiving module is used to send path determination instructions to each substation and receive optical cable transmission targets fed back by each substation. It constructs an optical cable topology network through the optical cable transmission targets. The optical cable topology network contains at least one optical cable path, and the optical cable path includes optical cable size information and transmission characteristic information.

[0012] The first determining module is used to determine the optical cable scheduling and detection strategy according to a preset time interval, and to determine the optical cable detection object from the optical cable topology network based on the optical cable scheduling and detection strategy.

[0013] The transmitting module is used to send a time-domain reflectometry (TDDR) off command to the target substation corresponding to the optical cable detection object, and to receive feedback optical cable attenuation information. The target substation is equipped with a corresponding optical time-domain reflectometry (OTDR) detection device.

[0014] The second determining module is used to acquire the optical power, bit error rate parameter, and warning weight value of the optical cable, and determine whether there is an anomaly detection in the optical cable based on the optical cable attenuation information, the optical power, the bit error rate parameter, and the warning weight value, and obtain the detection result.

[0015] According to another aspect of the present invention, a storage medium is provided, wherein at least one executable instruction is stored therein, the executable instruction causing a processor to perform an operation corresponding to the above-described optical cable equipment anomaly detection method.

[0016] According to another aspect of the present invention, a terminal is provided, comprising: a processor, a memory, a communication interface, and a communication bus, wherein the processor, the memory, and the communication interface communicate with each other through the communication bus;

[0017] The memory is used to store at least one executable instruction, which causes the processor to perform the operation corresponding to the above-described optical cable equipment anomaly detection method.

[0018] By employing the above-described technical solutions, the technical solutions provided by the embodiments of the present invention have at least the following advantages:

[0019] This invention provides a method and apparatus for detecting anomalies in optical cable equipment. Compared with existing technologies, this invention sends path determination instructions to each substation and receives optical cable transmission targets from each substation. An optical cable topology network is constructed using these transmission targets, and the network includes at least one optical cable path. The optical cable path includes optical cable size information and transmission characteristic information. An optical cable scheduling and detection strategy is determined according to a preset time interval, and an optical cable detection target is identified from the optical cable topology network based on the strategy. A time-domain signal is sent to the target substation corresponding to the detection target. The system receives feedback optical cable attenuation information via a reflection command. The target substation is equipped with a corresponding optical time-domain reflectometry (OTDR) detection device. It acquires the optical power, bit error rate parameters, and warning weight values ​​of the optical cable, and determines whether any abnormalities exist in the optical cable based on these parameters. This results in a detection outcome, enabling automated optical cable detection through flexible scheduling. This significantly improves the reliability of optical cable detection, increases the accuracy of predicting potential optical cable hazards, and ultimately enhances the effectiveness of optical cable detection, achieving efficient and safe operation of the optical cable in the power supply system.

[0020] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it in accordance with the contents of the specification, and in order to make the above and other objects, features and advantages of the present invention more apparent and understandable, specific embodiments of the present invention are described below. Attached Figure Description

[0021] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0022] Figure 1 A flowchart of an optical cable equipment anomaly detection method provided by an embodiment of the present invention is shown;

[0023] Figure 2 This invention provides a flowchart of another optical cable equipment anomaly detection method according to an embodiment of the present invention.

[0024] Figure 3 This diagram illustrates the cross-relationships in an optical cable topology network structure provided by an embodiment of the present invention.

[0025] Figure 4 This diagram illustrates a block diagram of an optical cable equipment anomaly detection device provided in an embodiment of the present invention.

[0026] Figure 5A schematic diagram of the structure of a terminal provided in an embodiment of the present invention is shown. Detailed Implementation

[0027] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0028] Inspection of optical cable equipment typically relies on traditional equipment such as optical time-domain reflectometers (OTDRs) for on-site detection of cable breaks during optical cable line maintenance and management. However, because optical cable inspection systems consist of multiple parts, their reliability is poor, their response speed to faults is subjective and human intervention is crucial, fault location is extremely difficult, and on-site troubleshooting is time-consuming, making it impossible to accurately predict potential problems and thus affecting the normal operation of the optical cable. This invention provides a method for detecting anomalies in optical cable equipment, such as... Figure 1 As shown, the method includes:

[0029] 101. Send path determination instructions to each substation and receive optical cable transmission targets fed back by each substation, and construct an optical cable topology network through the optical cable transmission targets.

[0030] In this embodiment of the invention, the current executing entity is a server that communicates with various substations. This server can be a fiber optic cable equipment management platform or a fiber optic cable equipment control system, etc. Since the fiber optic cable equipment (referred to as fiber optic cable) performs data transmission between various substations, when the current server needs to detect the fiber optic cable, it sends a path determination command to each substation within its monitoring range, so that the substations can provide feedback on the fiber optic cable transmission target. The fiber optic cable transmission target is the object through which data communication is transmitted via the fiber optic cable. This can be a substation, or other data base stations, terminal equipment, etc. Each substation records the transmission target corresponding to the fiber optic cable equipment, and therefore, this information is fed back to the current executing entity.

[0031] It should be noted that, in this embodiment of the invention, in order to accurately detect whether there are any abnormalities during the transmission of each optical cable, the current execution end constructs an optical cable topology network based on the optical cable transmission target, and performs optical cable anomaly detection based on the transmission structure in the network. The optical cable topology network includes at least one optical cable path, which includes the size information and transmission characteristic information of the optical cable. Therefore, based on the size information and transmission characteristic information of each optical cable path, it is determined whether there is an anomaly. In this case, the transmission characteristic information is used to characterize information such as data transmission speed and transmission content; this embodiment of the invention does not impose specific limitations on this.

[0032] 102. Determine the optical cable scheduling and detection strategy according to the preset time interval, and determine the optical cable detection object from the optical cable topology network based on the optical cable scheduling and detection strategy.

[0033] In this embodiment of the invention, different optical cable scheduling and detection strategies are pre-stored in the current execution terminal. The optical cable scheduling and detection strategy is used to characterize the method of determining the number of optical cable detection objects and the detection characteristics based on the size information and transmission characteristic information of different optical cables in the optical cable topology network. That is, it determines which or which optical cables to detect from the optical cable topology network according to the size information and transmission characteristic information, and how to detect them. For example, the optical cable scheduling and detection strategy is to select optical cables whose size information conforms to a preset size range from the optical cable topology network and detect them according to the data transmission speed and transmission connectivity in the optical cables. This embodiment of the invention does not make specific limitations.

[0034] It should be noted that the current execution end uses a preset time interval as the condition for triggering scheduling detection. The preset time interval can be 3 days or 5 days, which serves as the trigger time point for determining the optical cable scheduling detection strategy. This embodiment of the invention does not impose specific limitations.

[0035] 103. Send a time-domain reflection off command to the target substation corresponding to the optical cable detection object to receive the feedback optical cable attenuation information.

[0036] In this embodiment of the invention, after the current server determines the optical cable to be detected, it sends a time-domain reflectometry command to the target substation corresponding to the optical cable to obtain optical cable attenuation information. Specifically, in this embodiment, each substation is equipped with an optical cable time-domain reflectometry instrument; that is, the target substation is configured with a corresponding optical time-domain reflectometry device, such as an optical time-domain reflectometer (OTDR). This allows the OTDR instrument to collect optical cable attenuation information when the substation receives the time-domain reflectometry command.

[0037] 104. Obtain the optical power, bit error rate, and warning weight value of the optical cable, and determine whether there is an anomaly detection in the optical cable based on the optical cable attenuation information, the optical power, the bit error rate, and the warning weight value, and obtain the detection result.

[0038] In this embodiment of the invention, after obtaining the optical cable attenuation information, the current server obtains the optical power, bit error rate parameters, and warning weight value of the optical cable, and then combines the optical cable attenuation information to perform anomaly detection on the optical cable and obtain the detection result.

[0039] It should be noted that optical power is the power of the optical cable during data transmission. The warning weight value is a probability weight obtained by predicting the optical cable based on historical detection results. The bit error rate parameter is used to characterize the abnormal proportion determined based on the optical cable hardware loss. Thus, based on the optical cable attenuation information, optical power, bit error rate parameter, and warning weight value, it is determined whether there is an abnormality detection in the optical cable.

[0040] In another embodiment of the invention, for further definition and explanation, such as Figure 2 As shown, the step of constructing an optical cable topology network through the optical cable transmission target includes:

[0041] 201. Parse the identification of the substation and the number of optical cable transmission targets associated with the identification;

[0042] 202. Create optical cable paths between the substations according to the identity identifier and the number of optical cable transmission targets;

[0043] 203. Construct an optical cable topology network according to the optical cable path and the intersection relationship between the optical cable paths.

[0044] In this embodiment of the invention, since the optical cable transmission target is at least one object transmitted by a substation via optical cable, in order to improve the accuracy of optical cable detection by identifying the optical cables that need to be inspected based on the constructed optical cable topology network, the optical cable topology network is constructed by first parsing the identity identifier of the substation and the number of optical cable transmission targets associated with this identity identifier. Specifically, when the current server communicates with the substation, it pre-assigns a unique identity identifier to each substation to determine its identity. Each identity identifier can be associated with multiple specified targets that need optical cable transmission. For example, if substation s specifies that it needs to transmit with substations a and b via optical cable, then substations a and b need to be marked and associated with substation s, thus determining that there are two optical cable transmission targets. Furthermore, optical cable paths between each substation are created based on the number of optical cable transmission targets and the corresponding identity identifier.

[0045] It should be noted that since each substation can transmit data with multiple or one other substations via cable, the crossover relationships between fiber optic cable paths need to be determined when constructing the fiber optic topology network. These crossover relationships can be determined based on the geographical locations of the substations and whether multiple fiber optic paths cross. For example, ... Figure 3 As shown, optical cable path 1 is from substation a to substation s to substation k to substation w, and optical cable path 2 is from substation a to substation u to substation e to substation q, as follows. Figure 3 As shown, since substations s, e, and q are located in a row or a region, and substations u, k, and w are located in a row or a region, when optical cable path 1 corresponds to the dashed path and optical cable path 2 corresponds to the solid path, there is a cross relationship between the optical cable from substation u to substation e and the optical cable from substation s to substation k. Therefore, an optical cable topology network is constructed based on all the cross relationships and each optical cable path, and the physical size information (e.g., length, optical cable radius, etc.) and transmission characteristic information (e.g., transmission speed, transmission data interval, etc.) of the optical cable are recorded in this network. This embodiment of the invention does not make specific limitations.

[0046] In another embodiment of the invention, for further definition and explanation, the step of determining the optical cable scheduling detection strategy according to a preset time interval includes:

[0047] When a fiber optic cable scheduling command matching the preset time interval is triggered, the fiber optic cable scheduling detection strategy library is loaded.

[0048] Match the optical cable scheduling and detection strategy corresponding to the target substation from the optical cable scheduling and detection strategy library.

[0049] In a specific implementation scenario of this invention, to determine the optical cable scheduling and detection strategy more accurately and effectively, the current server determines whether it is within a preset time interval. At this time, the current execution terminal is pre-configured with optical cable scheduling instructions triggered according to the time point, thereby performing optical cable detection according to the time dimension. When the optical cable scheduling instruction is triggered, the current server loads the optical cable scheduling and detection strategy library. This library pre-stores different optical cable scheduling and detection strategies. Since the optical cable scheduling and detection strategy is used to characterize the method of determining the number of optical cable detection objects and detection characteristics based on the size information and transmission characteristic information of different optical cables in the optical cable topology network, different optical cable scheduling and detection strategies can be configured based on the detection requirements of different optical cables. This invention does not impose specific limitations on these strategies.

[0050] It should be noted that when matching the optical cable scheduling and detection strategy corresponding to the target substation from the optical cable scheduling and detection strategy library, since each optical cable scheduling and detection strategy is a method for determining the number of optical cable detection objects and detection characteristics based on the size information and transmission characteristic information of different optical cables in the optical cable topology network, during matching, each optical cable detection object in the optical cable topology network is first determined, that is, the optical cables belonging to each target substation in the optical cable topology network are used as optical cable detection objects, and the matching optical cable scheduling and detection strategy is performed. For example, if the optical cable topology network contains 5 substations, all 5 substations are taken as target substations. After determining optical cables 1, 2, and 3 between each target substation, the optical cable scheduling and detection strategy is determined, that is, the optical cable scheduling and detection strategy applicable to the size information and transmission characteristic information of optical cables 1, 2, and 3. Based on the strategy, it is determined which optical cables among optical cables 1, 2, and 3 need to be detected, and which characteristics need to be detected. This embodiment of the invention does not make specific limitations.

[0051] In another embodiment of the invention, for further definition and explanation, the step of determining the optical cable scheduling detection strategy according to a preset time interval includes:

[0052] When a fiber optic cable scheduling command matching the preset time interval is triggered, the fiber optic cable scheduling detection strategy library is loaded.

[0053] Obtain the scheduling clock bound to the optical cable scheduling and detection library, and determine the optical cable scheduling and detection strategy based on the scheduling pointer in the scheduling clock.

[0054] In a specific implementation scenario of this invention, to determine the optical cable scheduling and detection strategy more accurately and effectively, the current server determines whether it is within a preset time interval. At this time, the current execution terminal is pre-configured with optical cable scheduling instructions triggered according to the time point, thereby performing optical cable detection according to the time dimension. When the optical cable scheduling instruction is triggered, the current server loads the optical cable scheduling and detection strategy library. This library pre-stores different optical cable scheduling and detection strategies. Since the optical cable scheduling and detection strategy is used to characterize the method of determining the number of optical cable detection objects and detection characteristics based on the size information and transmission characteristic information of different optical cables in the optical cable topology network, different optical cable scheduling and detection strategies can be configured based on the detection requirements of different optical cables. This invention does not impose specific limitations on these strategies.

[0055] It should be noted that, in this embodiment of the invention, to achieve flexible optical cable detection, a scheduling clock is pre-configured in the optical cable scheduling detection library when retrieving the optical cable scheduling detection strategy. Each strategy corresponds to a scheduling pointer in the scheduling clock, and the optical cable scheduling detection strategy is determined by the pointer's direction. Each scheduling pointer in the clock divides the timing interval according to a preset time interval. The number of timing intervals in the clock is the same as the number of strategies in the optical cable scheduling detection strategy library. The time intervals can be configured based on the optical cable detection requirements, and this embodiment of the invention does not impose specific limitations. For example, if the strategy library contains 10 strategies and the number of time intervals is 10, with each time interval being 1 day (or 1 week, 3 days, etc.), then the clock will complete one cycle of timing after 10 days. When the clock hand executes the timing, the current server determines the optical cable scheduling detection strategy corresponding to the scheduling pointer in the scheduling clock based on the current time, thereby determining the optical cable scheduling detection strategy. After the scheduling clock completes one cycle, it starts the next cycle of timing. After completing one detection in step 102, the timing continues. When the next preset time interval is reached and the optical cable scheduling detection strategy is determined, the optical cable scheduling detection strategy is re-pointed according to the pointer in the scheduling clock. At this time, the preset time interval in step 102 is different from the timing time interval in the scheduling clock, so that flexible optical cable detection can be achieved instead of repeatedly executing the same detection method.

[0056] In another embodiment of the invention, for further definition and explanation, the step of obtaining the optical power, bit error rate parameter, and warning weight value of the optical cable includes:

[0057] Send an optical cable data acquisition request to the substation, and the substation will provide feedback on the optical power.

[0058] Retrieve the updated error parameters and warning weight values.

[0059] In a specific implementation scenario, since the early warning weight value is a probability weight based on the prediction of the optical cable based on historical detection results, and the bit error rate parameter is used to characterize the abnormality ratio determined based on the optical cable hardware loss, in this embodiment of the invention, in order to more accurately detect the optical cable, when acquiring optical power, bit error rate parameter, and early warning weight value, specifically, an optical cable data acquisition request is first sent to the substation so that the substation can collect optical power and provide feedback. Simultaneously, the updated bit error rate parameter and early warning weight value are retrieved. Since the bit error rate parameter is the abnormality ratio determined based on the optical cable hardware loss, it can be calculated by comparing the optical cable's usage time with its preset lifespan; the longer the usage time, the larger the bit error rate parameter. Furthermore, since the early warning weight value is a probability weight based on the prediction of the optical cable based on historical detection results, that is, a probability weight obtained by predicting the current abnormality of the optical cable based on historical detection results, specifically, in this embodiment of the invention, it is obtained by multiplying the prediction parameter by the historical detection results. The prediction parameter is a value between 0 and 1. The first value is 0.5. If the detection result is abnormal, the value is increased by 0.1. If the detection result is normal, the value is decreased by 0.05, and so on. In this embodiment of the invention, since the optical cable detection result is reflected by the abnormal evaluation value, the historical detection result is the abnormal evaluation value in the last optical cable abnormal detection result. This embodiment of the invention does not make specific limitations.

[0060] In another embodiment of the invention, for further definition and explanation, the step of determining whether the optical cable has an anomaly detection based on the optical cable attenuation information, the optical power, the bit error rate parameter, and the warning weight value, and obtaining the detection result includes:

[0061] When the ratio of the bit error parameter and the warning weight value matches the first anomaly detection range, the optical cable attenuation information, the optical power, the bit error parameter, and the first anomaly evaluation value corresponding to the warning weight value are calculated based on the anomaly detection formula.

[0062] If the first abnormal evaluation value matches the preset first abnormal evaluation range, then it is determined that the optical cable is abnormal.

[0063] In this embodiment of the invention, during the process of detecting and judging optical cable anomalies, the ratio between the bit error parameter and the warning weight is first determined, and then matched with the first anomaly detection range. If a match is found, the optical cable anomaly is judged based on the calculation formula. Therefore, the first anomaly evaluation value corresponding to the optical cable attenuation information, the optical power, the bit error parameter, and the warning weight value is further calculated based on the anomaly detection formula.

[0064] It should be noted that when the first anomaly evaluation value matches the preset first anomaly evaluation range, an anomaly is determined to exist in the optical cable. In this case, the setting of the first anomaly evaluation range is configured based on the optical cable detection requirements, and this embodiment of the invention does not impose specific limitations. Furthermore, when calculating the first anomaly evaluation value corresponding to the optical cable attenuation information, optical power, bit error rate parameters, and warning weight value based on the anomaly detection formula, specifically, the anomaly detection formula is as follows: s represents optical cable attenuation information, w represents bit error rate parameter, g represents optical power, and q represents early warning weight value.

[0065] In another embodiment of the invention, for further definition and explanation, the step of determining whether the optical cable has an anomaly detection based on the optical cable attenuation information, the optical power, the bit error rate parameter, and the warning weight value, and obtaining the detection result includes:

[0066] When the ratio of the bit error parameter and the warning weight value matches the second anomaly detection range, the optical cable attenuation information, the optical power, the bit error parameter, and the warning weight value are evaluated based on the anomaly detection evaluation model that has completed model training, and a second anomaly evaluation value is obtained.

[0067] If the second abnormal evaluation value matches the preset second abnormal evaluation range, then it is determined that the optical cable is abnormal.

[0068] In this embodiment of the invention, during the process of detecting and judging anomalies in optical cables, the ratio between the bit error rate parameter and the warning weight is first determined, and then matched with the second anomaly detection range. If a match is found, an anomaly detection evaluation model based on the completed model training is selected for judgment. Therefore, the second anomaly evaluation value corresponding to the optical cable attenuation information, optical power, bit error rate parameter, and warning weight value is further predicted based on the anomaly detection evaluation model.

[0069] It should be noted that the anomaly detection and evaluation model is trained based on historical optical cable attenuation information, historical optical power, historical bit error rate parameters, and historical warning weight values ​​with labeled anomaly evaluation values. That is, after constructing a model based on deep learning models, neural networks, support vector machines, etc., this model can be trained using the historical optical attenuation information, historical optical power, historical bit error rate parameters, and historical warning weight values ​​with labeled anomaly evaluation values. Thus, the anomaly detection and evaluation model, once trained, is used to evaluate and judge anomalies in the optical cable. Furthermore, if the second anomaly evaluation value matches a preset second anomaly evaluation range, it is determined that the optical cable has an anomaly. The setting of the second anomaly evaluation range is configured based on the optical cable detection requirements, and this embodiment of the invention does not impose specific limitations.

[0070] This invention provides a method for detecting anomalies in optical cable equipment. Compared with existing technologies, this invention sends path determination instructions to each substation and receives optical cable transmission targets from each substation. An optical cable topology network is constructed using these transmission targets, and the network includes at least one optical cable path. The optical cable path includes optical cable size information and transmission characteristic information. An optical cable scheduling and detection strategy is determined according to a preset time interval, and an optical cable detection target is identified from the optical cable topology network based on this strategy. A time-domain signal is sent to the target substation corresponding to the optical cable detection target. The system receives feedback optical cable attenuation information via a reflection command. The target substation is equipped with a corresponding optical time-domain reflectometry (OTDR) detection device. It acquires the optical power, bit error rate parameters, and warning weight values ​​of the optical cable, and determines whether any abnormalities exist in the optical cable based on these parameters. This results in a detection outcome, enabling automated optical cable detection through flexible scheduling. This significantly improves the reliability of optical cable detection, increases the accuracy of predicting potential optical cable hazards, and ultimately enhances the effectiveness of optical cable detection, achieving efficient and safe operation of the optical cable in the power supply system.

[0071] Furthermore, as a response to the above Figure 1 The implementation of the method shown in this invention provides an optical cable equipment anomaly detection device, such as... Figure 4 As shown, the device includes:

[0072] The receiving module 31 is used to send path determination instructions to each substation and receive optical cable transmission targets fed back by each substation. It constructs an optical cable topology network through the optical cable transmission targets. The optical cable topology network includes at least one optical cable path, and the optical cable path includes optical cable size information and transmission characteristic information.

[0073] The first determining module 32 is used to determine the optical cable scheduling and detection strategy according to a preset time interval, and to determine the optical cable detection object from the optical cable topology network based on the optical cable scheduling and detection strategy.

[0074] The sending module 33 is used to send a time domain reflection off command to the target substation corresponding to the optical cable detection object, so as to receive the feedback optical cable attenuation information. The target substation is equipped with a corresponding optical time domain reflection detection device.

[0075] The second determining module 34 is used to acquire the optical power, bit error rate parameter, and warning weight value of the optical cable, and determine whether there is an anomaly detection in the optical cable based on the optical cable attenuation information, the optical power, the bit error rate parameter, and the warning weight value, and obtain the detection result.

[0076] Furthermore, the optical cable transmission target is at least one object that the substation transmits to via optical cable. The receiving module is specifically used to parse the identity identifier of the substation and the number of optical cable transmission targets associated with the identity identifier; create optical cable paths between the substations according to the identity identifier and the number of optical cable transmission targets; and construct an optical cable topology network according to the optical cable paths and the cross relationships between the optical cable paths.

[0077] Furthermore, the first determining module is specifically used to load the optical cable scheduling detection strategy library when the optical cable scheduling instruction matching the preset time interval is triggered; and to match the optical cable scheduling detection strategy corresponding to the target substation from the optical cable scheduling detection strategy library. The optical cable scheduling detection strategy is used to characterize the method of determining the number of optical cable detection objects and detection characteristics from the optical cable topology network based on the size information and transmission characteristic information of different optical cables.

[0078] Furthermore, the first determining module is specifically used to load the optical cable scheduling detection strategy library when the optical cable scheduling instruction matching the preset time interval is triggered; obtain the scheduling clock bound to the optical cable scheduling detection library; and determine the optical cable scheduling detection strategy according to the scheduling pointer in the scheduling clock. The optical cable scheduling detection strategy is used to characterize the method of determining the number of optical cable detection objects and detection features from the optical cable topology network based on the size information and transmission feature information of different optical cables.

[0079] Furthermore, the second determining module is specifically used to send an optical cable data acquisition request to the substation so that the substation can provide feedback on the optical power; retrieve the updated bit error rate parameter and the warning weight value, wherein the warning weight value is a probability weight based on the prediction of the optical cable based on historical detection results, and the bit error rate parameter is used to characterize the abnormal proportion determined based on the optical cable hardware loss.

[0080] Furthermore, the second determining module is specifically used to calculate the first abnormal evaluation value corresponding to the optical cable attenuation information, the optical power, the bit error parameter, and the warning weight value based on the abnormal detection formula when the ratio of the bit error parameter and the warning weight value matches the first abnormal detection range; if the first abnormal evaluation value matches the preset first abnormal evaluation range, then it is determined that the optical cable has an abnormality.

[0081] Furthermore, the second determining module is specifically used to evaluate the optical cable attenuation information, the optical power, the bit error parameter, and the warning weight value based on the anomaly detection evaluation model that has been trained, when the ratio of the bit error parameter and the warning weight value matches the second anomaly detection range, to obtain a second anomaly evaluation value. The anomaly detection evaluation model is trained based on historical optical cable attenuation information, historical optical power, historical bit error parameter, and historical warning weight value that have been marked with anomaly evaluation values. If the second anomaly evaluation value matches the preset second anomaly evaluation range, then it is determined that the optical cable has an anomaly.

[0082] This invention provides an optical cable equipment anomaly detection device. Compared with the prior art, this invention sends path determination instructions to each substation and receives optical cable transmission targets from each substation. An optical cable topology network is constructed using these transmission targets, and the optical cable topology network includes at least one optical cable path. The optical cable path includes optical cable size information and transmission characteristic information. An optical cable scheduling and detection strategy is determined according to a preset time interval, and an optical cable detection target is identified from the optical cable topology network based on the optical cable scheduling and detection strategy. A time-domain signal is sent to the target substation corresponding to the optical cable detection target. The system receives feedback optical cable attenuation information via a reflection command. The target substation is equipped with a corresponding optical time-domain reflectometry (OTDR) detection device. It acquires the optical power, bit error rate parameters, and warning weight values ​​of the optical cable, and determines whether any abnormalities exist in the optical cable based on these parameters. This results in a detection outcome, enabling automated optical cable detection through flexible scheduling. This significantly improves the reliability of optical cable detection, increases the accuracy of predicting potential optical cable hazards, and ultimately enhances the effectiveness of optical cable detection, achieving efficient and safe operation of the optical cable in the power supply system.

[0083] According to one embodiment of the present invention, a storage medium is provided, the storage medium storing at least one executable instruction, the computer-executable instruction being able to execute the optical cable equipment anomaly detection method in any of the above method embodiments.

[0084] Figure 5 The diagram shows a structural schematic of a terminal according to an embodiment of the present invention. The specific implementation of the terminal is not limited by the specific embodiments of the present invention.

[0085] like Figure 5 As shown, the terminal may include: a processor 402, a communication interface 404, a memory 406, and a communication bus 408.

[0086] The processor 402, communication interface 404, and memory 406 communicate with each other via communication bus 408.

[0087] Communication interface 404 is used to communicate with other network elements such as clients or other servers.

[0088] The processor 402 is used to execute program 410, which can specifically execute the relevant steps in the above embodiment of the optical cable equipment anomaly detection method.

[0089] Specifically, program 410 may include program code that includes computer operation instructions.

[0090] Processor 402 may be a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement embodiments of the present invention. The terminal may include one or more processors of the same type, such as one or more CPUs; or it may include processors of different types, such as one or more CPUs and one or more ASICs.

[0091] Memory 406 is used to store program 410. Memory 406 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0092] Specifically, program 410 can be used to cause processor 402 to perform the following operations:

[0093] Send path determination instructions to each substation and receive optical cable transmission targets from each substation. Construct an optical cable topology network through the optical cable transmission targets. The optical cable topology network contains at least one optical cable path, and the optical cable path includes optical cable size information and transmission characteristic information.

[0094] The optical cable scheduling and detection strategy is determined according to a preset time interval, and the optical cable detection object is determined from the optical cable topology network based on the optical cable scheduling and detection strategy.

[0095] Send a time-domain reflectometry (TDDR) off command to the target substation corresponding to the optical cable being detected, and receive feedback optical cable attenuation information. The target substation is equipped with a corresponding optical time-domain reflectometry (OTDR) detection device.

[0096] The optical power, bit error rate, and warning weight value of the optical cable are obtained, and the presence of any abnormality in the optical cable is determined based on the optical cable attenuation information, the optical power, the bit error rate, and the warning weight value, thus obtaining the detection result.

[0097] It is obvious to those skilled in the art that the modules or steps of the present invention described above can be implemented using general-purpose computing devices. They can be centralized on a single computing device or distributed across a network of multiple computing devices. Optionally, they can be implemented using computer-executable program code, thereby storing them in a storage device for execution by a computing device. In some cases, the steps shown or described can be performed in a different order than those presented herein, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Thus, the present invention is not limited to any particular combination of hardware and software.

[0098] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for detecting anomalies in optical cable equipment, characterized in that, include: Send path determination instructions to each substation and receive optical cable transmission targets from each substation. Construct an optical cable topology network through the optical cable transmission targets. The optical cable topology network contains at least one optical cable path, and the optical cable path includes optical cable size information and transmission characteristic information. The optical cable scheduling and detection strategy is determined according to a preset time interval, and the optical cable detection object is determined from the optical cable topology network based on the optical cable scheduling and detection strategy. An optical time domain reflection command is sent to the target substation corresponding to the optical cable detection object to receive feedback optical cable attenuation information. The target substation is equipped with a corresponding optical time domain reflection detection device. The optical power, bit error rate, and warning weight value of the optical cable are obtained, and the presence of any abnormality in the optical cable is determined based on the optical cable attenuation information, the optical power, the bit error rate, and the warning weight value, thus obtaining the detection result. Wherein, the optical cable transmission target is at least one object that the substation transmits data to via optical cable, and the construction of the optical cable topology network through the optical cable transmission target includes: The identification identifier of the substation and the number of optical cable transmission targets associated with the identification identifier are analyzed. Create optical cable paths between the substations according to the identity identifier and the number of optical cable transmission targets; Construct an optical cable topology network according to the optical cable path and the intersection relationships between the optical cable paths.

2. The method according to claim 1, characterized in that, The step of determining the optical cable scheduling and detection strategy according to a preset time interval includes: When a fiber optic cable scheduling command matching the preset time interval is triggered, the fiber optic cable scheduling detection strategy library is loaded. The optical cable scheduling and detection strategy corresponding to the target substation is matched from the optical cable scheduling and detection strategy library. The optical cable scheduling and detection strategy is used to characterize the method of determining the number of optical cable detection objects and detection characteristics based on the size information and transmission characteristic information of different optical cables in the optical cable topology network.

3. The method according to claim 1, characterized in that, The step of determining the optical cable scheduling and detection strategy according to a preset time interval includes: When a fiber optic cable scheduling command matching the preset time interval is triggered, the fiber optic cable scheduling detection strategy library is loaded. Obtain the scheduling clock bound to the optical cable scheduling and detection library, and determine the optical cable scheduling and detection strategy according to the scheduling pointer in the scheduling clock. The optical cable scheduling and detection strategy is used to characterize the method of determining the number of optical cable detection objects and detection features from the optical cable topology network based on the size information and transmission feature information of different optical cables.

4. The method according to claim 1, characterized in that, The acquisition of the optical power, bit error rate parameters, and early warning weight value of the optical cable includes: Send an optical cable data acquisition request to the substation so that the substation can report the optical power; The updated bit error rate parameters and warning weight values ​​are retrieved. The warning weight values ​​are based on the probability weights obtained by predicting the optical cable based on historical detection results. The bit error rate parameters are used to characterize the abnormal proportion determined based on the optical cable hardware loss.

5. The method according to any one of claims 1-4, characterized in that, The step of determining whether the optical cable has an anomaly based on the optical cable attenuation information, the optical power, the bit error rate parameter, and the warning weight value, and obtaining the detection result includes: When the ratio of the bit error parameter and the warning weight value matches the first anomaly detection range, the optical cable attenuation information, the optical power, the bit error parameter, and the first anomaly evaluation value corresponding to the warning weight value are calculated based on the anomaly detection formula. If the first abnormal evaluation value matches the preset first abnormal evaluation range, then it is determined that the optical cable is abnormal.

6. The method according to claim 5, characterized in that, The step of determining whether the optical cable has an anomaly based on the optical cable attenuation information, the optical power, the bit error rate parameter, and the warning weight value, and obtaining the detection result includes: When the ratio of the bit error parameter and the warning weight value matches the second anomaly detection range, the optical cable attenuation information, the optical power, the bit error parameter, and the warning weight value are evaluated based on the anomaly detection evaluation model that has been trained to obtain the second anomaly evaluation value. The anomaly detection evaluation model is trained based on historical optical cable attenuation information, historical optical power, historical bit error parameter, and historical warning weight value that have been marked with anomaly evaluation values. If the second abnormal evaluation value matches the preset second abnormal evaluation range, then it is determined that the optical cable is abnormal.

7. An optical cable equipment anomaly detection device, characterized in that, include: The receiving module is used to send path determination instructions to each substation and receive optical cable transmission targets fed back by each substation. It constructs an optical cable topology network through the optical cable transmission targets. The optical cable topology network contains at least one optical cable path, and the optical cable path includes optical cable size information and transmission characteristic information. The first determining module is used to determine the optical cable scheduling and detection strategy according to a preset time interval, and to determine the optical cable detection object from the optical cable topology network based on the optical cable scheduling and detection strategy. The transmitting module is used to send an optical time domain reflection command to the target substation corresponding to the optical cable detection object, and to receive feedback optical cable attenuation information. The target substation is equipped with a corresponding optical time domain reflection detection device. The second determining module is used to acquire the optical power, bit error rate parameter, and warning weight value of the optical cable, and determine whether there is an abnormality detection in the optical cable based on the optical cable attenuation information, the optical power, the bit error rate parameter, and the warning weight value, and obtain the detection result; The optical fiber transmission target is at least one object that the substation transmits data to via optical fiber. The receiving module is specifically used to parse the identification of the substation and the number of optical cable transmission targets associated with the identification; create optical cable paths between the substations according to the identification and the number of optical cable transmission targets; and construct an optical cable topology network according to the optical cable paths and the cross relationships between the optical cable paths.

8. A storage medium storing at least one executable instruction that causes a processor to perform an operation corresponding to the optical cable equipment anomaly detection method as described in any one of claims 1-6.

9. A terminal, comprising: The processor, memory, communication interface, and communication bus are provided, wherein the processor, memory, and communication interface communicate with each other via the communication bus. The memory is used to store at least one executable instruction, which causes the processor to perform the operation corresponding to the optical cable equipment anomaly detection method as described in any one of claims 1-6.

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