Self-diagnosis optical cable junction box

Abstract

A self-diagnosis optical cable junction box provided by the present invention comprises a box body, and an inner wire and a wire connector located in the box body, the box body is also internally provided with a stop groove, a stop ring sleeving an outer wire is slidably arranged in the stop groove, and the stop ring is in interference fit with the outer wire to generate friction force limiting relative movement between the stop ring and the outer wire. A plurality of sensing units for acquiring different data are integrated in the stop ring; the system further comprises a sensing recording module used for recording sensing data, an abnormity prediction module used for predicting whether the external connection wire is abnormal or not, an abnormity analysis module used for analyzing the abnormity type and a maintenance output module used for outputting a maintenance scheme. According to the method, the fault pre-judgment capability is realized, and after the fault is predicted, mutual verification of positions and data can be carried out according to the stop rings of the adjacent optical cables, so that the type judgment of the fault optical cable is completed, and a targeted and effective maintenance scheme is subsequently matched.

Description

Technical Field

[0001] The present invention relates to the technical field of optical cable detection, and more specifically, to a self-diagnosing optical cable junction box. Background Art

[0002] In modern optical fiber communication networks, as a key node device for connecting, distributing, and managing optical fibers, the reliability of the operating state of an optical cable junction box directly affects the stability of the entire communication network. Its application scenarios include communication base stations, fiber-to-the-home systems in smart communities, and long-distance backbone optical cable networks. Among them, in a communication base station, an external optical cable is connected to the optical cable inside the base station. However, the external optical cable is prone to failures due to harsh weather (such as the pulling and breaking of the optical cable caused by strong winds and heavy rains) or its own internal influences.

[0003] Traditional optical cable junction boxes mainly rely on manual inspections to detect faults, with low efficiency and difficulty in detecting potential problems in a timely manner. The current problems in inspections include fiber breakage, loose connectors, aging of optical devices, etc. However, relying on manual inspections easily leads to the discovery of faults a certain time after they occur, greatly affecting the operation and maintenance efficiency and reliability of the optical fiber communication network. Summary of the Invention

[0004] Aiming at the deficiencies of the existing technology, the purpose of the present invention is to provide a self-diagnosing optical cable junction box.

[0005] To achieve the above purpose, the present invention provides the following technical solutions:

[0006] A self-diagnosing optical cable junction box, including a box body, internal wiring, and a connector located inside the box body. A stop groove is also provided inside the box body. A stop ring sleeving an external wiring is slidably arranged in the stop groove. The stop ring and the external wiring are in interference fit to generate a frictional force that restricts the relative movement between the stop ring and the external wiring. A number of sensing units for collecting different data are integrated inside the stop ring; and also includes

[0007] a sensing and recording module that acquires and records various sensing data collected by the sensing units;

[0008] an anomaly prediction module that analyzes whether the corresponding external wiring is abnormal through an anomaly prediction strategy for each of the sensing data. If so, an arousal instruction is output; if not, a sleep instruction is output;

[0009] an anomaly analysis module that takes the arousal instruction as a trigger condition, and analyzes the relative position and relative sensing data between the predicted abnormal stop ring and the adjacent stop rings to obtain the anomaly type. The anomaly type includes disconnection, crack, looseness, and aging;

[0010] Inspect the output module, index the corresponding maintenance plan for the abnormal type in the preset maintenance plan library, and output the abnormal stop ring mark number and the maintenance plan together on the display terminal of the box body.

[0011] Further, a pushing member is provided in the stop groove, and the pushing member cooperates with the locking hook of the box door. When the locking hook of the box door locks the box body during movement, the locking hook provides a pushing force to the pushing member, so that the pushing member pushes the stop ring until each stop ring is in the corresponding position.

[0012] Further, the sensing data includes displacement, temperature value, humidity value and usage time. The abnormal prediction strategy includes calculating the humidity difference amount by comparing the humidity values at each n moment within the predicted time period, comparing the humidity difference amount with the preset threshold N1 to obtain the abnormal value of the difference amount, and obtaining the number of times of the abnormal value of the difference amount. Then, the displacement, temperature value, abnormal value of the difference amount, number of times and the usage time of the optical cable are calculated through the abnormal prediction algorithm to obtain the abnormal prediction value.

[0013] Further, the abnormal prediction algorithm is configured as:

[0014] y i = Θ(ΔH i - N1),

[0015]

[0016] where y i is the abnormal value of the difference amount, ΔH i is the humidity difference amount at each n moment, N is the number of times of the abnormal value of the difference amount, N total is the total number of humidity measurements within the predicted time period, is the normalization processing of the displacement amount, D is the displacement amount measured at the current moment, D min , D max are the minimum and maximum displacement amounts in the historical record respectively, f T is the processed temperature value, T is the temperature value measured at the current moment, T ref is the preset standard temperature value, T std is the standard deviation of the temperature measurement value, f t is the usage time influence factor, t use is the usage time, α is the aging coefficient, t is the integral of the Gaussian smoothing function, t total is the total prediction duration, Δt is the time interval of each humidity measurement, δ is the smoothing coefficient, N max is the preset reference value of the maximum number of abnormal times, and P is the abnormal prediction value.

[0017] Further, an anomaly analysis strategy is included in the anomaly analysis module. The anomaly analysis strategy includes a relative position judgment step and a sensing data judgment step.

[0018] In the relative position judgment step, the displacement of the stop ring predicted to be abnormal and the displacement of the adjacent stop ring are obtained, and it is judged whether the adjacent stop ring is predicted to be abnormal. If so, the displacement is directly compared with the preset threshold N2, and according to the comparison result, the anomaly type is output as disconnected or loose. If not, the displacement difference is calculated by subtracting the displacement of the stop ring predicted to be abnormal from the displacement of the adjacent stop ring predicted not to be abnormal, and the displacement difference is compared with the preset threshold N3, and according to the comparison result, the anomaly type is output as disconnected or loose.

[0019] In the sensing data judgment step, the temperature value of the stop ring predicted to be abnormal and the temperature value of the adjacent stop ring are obtained, and it is judged whether the adjacent stop ring is predicted to be abnormal. If so, the displacement is directly compared with the preset threshold N4, and according to the comparison result, the anomaly type is output as cracked or aged. If not, the temperature difference is calculated by subtracting the temperature value of the stop ring predicted to be abnormal from the temperature value of the adjacent stop ring predicted not to be abnormal, and the temperature difference is compared with the preset threshold N5, and according to the comparison result, the anomaly type is output as cracked or aged.

[0020] Further, two adjacent stop rings are staggeredly arranged.

[0021] Further, the pushing member includes a push head and a driving part. The push head is located in the stop groove, and the push head is sleeved on the external wire. A touch switch is provided on the lock of the box body. When the lock hook of the box door is hooked into the lock of the box body, the touch switch triggers to control the driving part to drive the push head to move, so that the push head pushes the stop ring to slide along the external wire.

[0022] Further, a pressure sensor is provided at one end of the push head facing the stop ring, and a calibration verification module is further included to judge whether the pressure sensor collects the contact pressure signal of the stop ring when the push head is pushed by a specified distance, and verify whether there is an offset anomaly of the stop ring according to the judgment result.

[0023] Further, a margin reservation strategy is also included in the calibration verification module. The margin reservation strategy includes counting the judgment results of the stop rings predicted not to be abnormal through the contact pressure signal, and judging whether more than half of the stop rings predicted not to be abnormal have offset anomalies. If so, the average value of the offset amounts of these stop rings with offset anomalies is calculated as the margin offset value and sent to the anomaly analysis module to approve the preset threshold N2.

[0024] Further, the box body is a wall-mounted box body. A wire hole for connecting external wires is provided on the bottom surface of the box body, and the side panel of the box body is detachably connected to the box body.

[0025] Beneficial effects of the present invention: By integrating a number of sensing units in the stop ring sleeved on the optical cable, various data are collected and monitored, and early warnings of optical cable anomalies are made according to the monitored data. Compared with the existing method that relies on threshold alarms and can only detect existing faults but cannot predict potential hidden dangers, the present invention makes efficient and accurate predictions from multiple dimensions through multi-factor fusion prediction, realizes the ability to predict faults, and after predicting faults, can also perform mutual verification of positions and data according to the stop rings of adjacent optical cables to complete the type judgment of the faulty optical cable, and then match a targeted and effective maintenance plan. Description of the Drawings

[0026] Figure 1 is the structural diagram of the present invention;

[0027] Figure 2 is the control logic diagram of the present invention;

[0028] Figure 3 is the schematic diagram of the anomaly prediction strategy of the present invention;

[0029] Figure 4 is the schematic diagram of the anomaly analysis strategy of the present invention;

[0030] Figure 5 is the internal cross-sectional view of the present invention.

[0031] Attached Reference Signs

[0032] 1. Box body; 2. Connector; 3. Stop groove; 4. External wire; 5. Stop ring; 6. Pusher head. Detailed Embodiments

[0033] The present invention will be further described in detail below with reference to the drawings and embodiments. The same components are denoted by the same reference signs. It should be noted that the terms "front", "rear", "left", "right", "upper" and "lower" used in the following description refer to the directions in the drawings, and the terms "bottom surface" and "top surface", "inner" and "outer" refer to the directions towards or away from the geometric center of a specific component respectively.

[0034] Since traditional optical cable junction boxes mainly rely on manual inspections to detect faults, with low efficiency and difficulty in detecting potential problems in a timely manner, the problems existing in current inspections include fiber breakage, connector loosening, optical device aging, etc. However, relying on manual inspections easily leads to the discovery of faults after a certain period of time, greatly affecting the operation and maintenance efficiency and reliability of the optical fiber communication network. Therefore, the present invention designs this self-diagnosing optical cable junction box, as Figure 1 andFigure 5 As shown, it includes a box body 1 and internal wiring and a connector 2 located inside the box body 1. The box body 1 of the present invention is a wall-mounted box body 1. A wire hole for passing through an external wire 4 is provided at the bottom surface of the box body 1. The external wire 4 passes through the wire hole from the bottom. A stop groove 3 is also provided inside the box body 1. The stop groove 3 can be provided in the wall of the box body 1, or a block is provided inside the box body 1 and the stop groove 3 is provided inside the block, or it can be a stop cavity (sliding cavity). A stop ring 5 sleeved on the external wire 4 is slidably provided in the stop groove 3. In order to improve the subsequent detection accuracy of the stop ring 5 for the optical cable, the sliding direction of the stop ring 5 is the same as the straight section direction when the external optical cable 4 is connected to the connector 2. At this time, the situation of the external optical cable 4 near the fusion section with the internal wiring can be monitored and fed back by the stop ring 5. The stop ring 5 is in interference fit with the external wire 4 to generate a frictional force that restricts the relative movement between the stop ring 5 and the external wire 4. Under normal circumstances, the stop ring 5 will not slide in the stop groove 3. Only when an external thrust is applied to the stop ring 5 can the stop ring 5 slide in the stop groove 3. The side panel of the box body 1 is detachably connected to the box body 1. After each external wire 4 passes through the stop ring 5, the side panel is pulled out downward, then the side of the box body 1 is opened, which is convenient for the external wire 4 to be plugged into the connector 2 inside the box body 1.

[0035] Several sensing units for collecting different data are integrated in the stop ring 5. A displacement sensor, a temperature detector and a humidity sensor are integrated in the sensing unit; as Figure 2 shown, it also includes

[0036] a perception recording module, which obtains and records various sensing data collected by the sensing units. The sensing data includes displacement amount, temperature value, humidity value and usage time. The usage time refers to the connection time of the external wire 4, which can be calculated by the start time and the current time of the device. The recording method is to obtain the data collected by the sensing units at every n moment, record the data in the form of a table, and store it in the database of the system.

[0037] An anomaly prediction module analyzes whether the corresponding external wire 4 is abnormal through an anomaly prediction strategy for each sensing data. If so, an awakening instruction is output. If not, a sleep instruction is output to make some components of the system enter a low-power state, reduce energy consumption and save operating costs;

[0038] Specifically, as Figure 3 shown, the anomaly prediction strategy includes ①, humidity difference calculation. During the prediction time period, the humidity value is sampled at every n moment. For example, if the prediction time period is 1 hour and n = 10 minutes, the humidity value is collected every 10 minutes, and the difference between the humidity values at two adjacent sampling moments is calculated to obtain the humidity difference value. Let the humidity value at the i-th moment during the prediction time period be H i , then the humidity difference amount ΔH i is calculated as ΔH​i = H i+n - H i , where H i is the environmental humidity around the outer circle of the optical cable collected at the i-th moment, i = 1, 2,...., and i + n needs to be within the prediction time period.

[0039] By calculating the humidity difference, the change of humidity value over time can be captured. A sudden change in humidity may be an important signal of abnormal external wiring. For example, if the external wiring gets damp and the surrounding environmental humidity changes, it is likely to affect the abnormal melting ends of the internal and external wirings in the junction box.

[0040] ②. Determine the abnormal value of the humidity difference. Introduce the step function Θ(x). When x ≥ 0, Θ(x) = 1; when x < 0, Θ(x) = 0. Compare the humidity difference ΔH i with the preset threshold N1 to obtain the abnormal value y i of the difference, that is, y i = Θ(ΔH i - N1).

[0041] ③. Count the number of abnormalities. By summing up all the abnormal values y i of the difference, obtain the number N of times when there are abnormal values of the difference, that is, where N total is the total number of humidity measurements within the prediction time period.

[0042] ④. Normalize the displacement. Let the displacement be D, D min , D max are the minimum and maximum displacements in the historical records respectively. Perform normalization processing on the displacement to obtain That is, where D is the displacement measured at the current moment.

[0043] ⑤. Process the temperature value. Let the humidity value be T, T ref be the preset standard temperature value. Use the complementary function of the Gaussian error function to process the temperature value to obtain f T , that is, where T is the temperature value measured at the current moment, and T std is the standard deviation of the temperature measurement value.

[0044] ⑥. Consider the influence of the usage time. Let the usage time of the external wiring optical cable be t use , and α be the aging coefficient, a coefficient determined according to factors such as the material and usage environment of the optical cable external wiring. Use the exponential decay function to construct the usage time influence factor f t , that is,

[0045] ⑦. Abnormal prediction value where t is the integral of the Gaussian smoothing function, and t total is the total prediction duration, Δt is the time interval for each humidity measurement, δ is the smoothing coefficient, and N max is the preset reference value for the maximum number of abnormalities. The value range of the abnormal prediction value P is [0, +∞). When P < 0.5, the external connection of the optical cable is in a normal state, and all indicators are stable, with an extremely low probability of abnormalities. Then, a sleep command is output. When 0.5 ≤ P < 1, the optical cable is in a warning state, and there may be some potential abnormal factors. It is necessary to shorten the detection time n and increase the monitoring frequency. When P ≥ 1, it is determined that the external connection of the optical cable is in a high-risk abnormal state, and then an awakening command is output.

[0046] By integrating the humidity difference, displacement normalization value, temperature compensation value, and time aging factor, a four-dimensional joint evaluation of the optical cable state is achieved, which is more comprehensive than single-parameter monitoring. The introduction of dynamic threshold judgment and exponential decay of the number of abnormalities enables the model to automatically adjust the sensitivity according to historical data. When humidity abnormalities occur frequently, the denominator integral term decreases, and the overall prediction value P increases, triggering an early warning in a timely manner.

[0047] Data example: Input data (prediction time period t total = 24 hours, sampling interval Δt = 1 hour);

[0048] Humidity value (%RH): {57, 58.5, 59, 60.2, 61.8, 63.5, 62.1, 61.3, 60.8, 59.2, 58.7, 57.9, 57.2, 56.8, 56.3, 55.9, 55.2, 54.8, 54.5, 62, 64.3, 66.7, 68, 67.5};

[0049] Displacement (mm): 0.35; Temperature value (°C): 28; Service life (years): 5;

[0050] Preset parameters: Humidity difference threshold N1 = 5%; Historical humidity mean μ h = 60%; Standard deviation σ h = 3%; Historical displacement extreme value D min 0.1mm, D max = 0.8mm; Reference temperature T ref = 25°C; Temperature standard deviation T std = 3°C; Aging coefficient α = 0.2; Gaussian smoothing coefficient δ = 2 hours; Maximum number of abnormalities reference N max = 10 times;

[0051] Then check each ΔH i :

[0052]

[0053]

[0054]

[0055] P = 0.062 < 0.5 → Normal state.

[0056] Anomaly analysis module, triggered by an arousal instruction, analyzes the relative position and relative sensing data between the predicted abnormal stop ring and the adjacent stop rings to obtain the anomaly type. The anomaly types include disconnection, crack, looseness, and aging.

[0057] Specifically, as Figure 4 shown, the anomaly analysis module includes an anomaly analysis strategy, and the anomaly analysis strategy includes a relative position judgment step and a sensing data judgment step.

[0058] Relative position judgment step. First step, data acquisition. Obtain the displacement of the stop ring 5 from the perception record module. Assume there are 12 groups of optical cable lines. If the abnormal prediction result of the stop ring 5 of the external connection line 4 of the optical cable labeled 1 is abnormal, then obtain the displacement of the stop ring 5 of the label 1 and the displacement of the stop ring 5 of the adjacent label 2.

[0059] Second step, judge whether the stop ring 5 of label 2 is abnormal. According to the result obtained by the previous anomaly prediction module, determine whether the stop ring 5 of label 2 is predicted to be abnormal, and the result is that label 2 is abnormal or normal.

[0060] Third step, comparison and judgment. When label 2 is abnormal, compare the displacement of the stop ring 5 of label 1 with the preset threshold N2. If the displacement is greater than N2, then judge the anomaly type as "disconnection". If the displacement is less than or equal to N2, then judge the anomaly type as "looseness". This is because when the displacement is too large, it is very likely that the connection between the stop ring 5 and other components is completely disconnected; while when the displacement is small, it may only be that the connection is loose.

[0061] When label 2 is normal, when the external wire 4 is welded to the internal wire, the external wire 4 itself will be stretched due to external reasons, resulting in some small displacements of the stop ring 5. Therefore, the displacement of label 2 can be considered as a normal offset. That is, calculate the difference between the displacement of the stop ring 5 of label 1 and the displacement of the stop ring 5 of label 2 as the displacement difference, and compare the displacement difference with the preset threshold N3. If the displacement difference is greater than N3, it is judged that the abnormal type is "disconnection"; if the displacement difference is less than or equal to N3, it is judged that the abnormal type is "looseness". The displacement difference reflects the relative situation of the displacement change between two adjacent stop rings 5. When the displacement difference is too large, it indicates that the displacement state of the predicted abnormal stop ring 5 is significantly different from that of the normal adjacent stop ring 5, and it is more likely to be a connection disconnection. By considering the abnormal conditions of adjacent stop rings 5, the abnormal type of the predicted abnormal stop ring 5 is comprehensively judged, avoiding the limitation of judging only based on the displacement of a single stop ring 5. In addition, it can quickly and accurately judge whether the connection state of the stop ring 5 is "disconnected" or "loose", which helps to take corresponding maintenance measures in time and avoid equipment failures or safety accidents caused by connection problems.

[0062] Sensing data judgment steps. First step, data acquisition. Similarly, acquire the sensing data of the stop ring 5 of label 1 and the sensing data of the stop ring 5 of label 2 from the perception recording module.

[0063] Second step, judge whether the stop ring 5 of label 2 is abnormal. Based on the results obtained by the previous abnormal prediction module, determine whether the stop ring 5 of label 2 is predicted to be abnormal, and the result is that label 2 is abnormal or normal.

[0064] Third step, comparison and judgment. When label 2 is abnormal, compare the temperature value of the stop ring 5 of label 1 with the preset threshold N4. If the temperature value is greater than N4, it is judged that the abnormal type is "crack"; if the temperature value is less than or equal to N4, it is judged that the abnormal type is "aging". This is because when a crack appears in the stop ring 5, it will cause an increase in local resistance, and more heat will be generated when current passes through, resulting in a temperature increase; during the aging process, the material performance gradually decreases, but the temperature increase is relatively not obvious.

[0065] When label 2 is normal, since part of the heat will be generated during the operation of the external wire 4 itself when the external wire 4 is welded to the internal wire, and the ambient temperature also has an impact, the temperature difference between the temperature value of the stop ring 5 of label 1 and the temperature value of the stop ring 5 of label 2 is calculated as the temperature difference, and the temperature difference is compared with the preset threshold N5. If the temperature difference is greater than N5, the abnormal type is determined as "crack"; if the temperature difference is less than or equal to N5, the abnormal type is determined as "aging". The temperature difference reflects the relative difference in temperature changes between two adjacent stop rings 5. When the temperature difference is large, it indicates that there may be a situation such as a crack in the predicted abnormal stop ring 5, resulting in local heating. Combining the temperature conditions of adjacent stop rings 5, by comparing the temperature value or temperature difference with the preset threshold, the abnormal type of the stop ring 5 can be more accurately identified as "crack" or "aging", which helps to deeply understand the cause of equipment damage and provides an accurate basis for subsequent maintenance and replacement. In addition, timely detection of cracks and aging problems in the stop ring 5 can take measures in advance to avoid further deterioration of the problem, thus ensuring the stable operation of the equipment.

[0066] Overhaul the output module, index the corresponding overhaul plan in the preset overhaul plan library for the abnormal type, and output the abnormal stop ring 5 label number and the overhaul plan together on the display terminal of the box body 1.

[0067] The present invention also includes a structure for calibrating the stop ring 5. Specifically, a pushing member is provided in the stop groove 3, and the pushing member cooperates with the lock hook of the box door. When the lock hook of the box door locks the box body 1 during movement, the lock hook provides a thrust to the pushing member, so that the pushing member pushes the stop ring 5 until each stop ring 5 is in the corresponding position. Specifically, the pushing member includes a push head 6 and a driving part. The push head 6 is located in the stop groove 3, and the push head 6 is sleeved on the external wire 4. A touch switch is provided on the lock of the box body 1. When the lock hook of the box door is hooked into the lock of the box body 1, the touch switch triggers to control the driving part to drive the push head 6 to move, so that the push head 6 pushes the stop ring 5 to slide along the external wire 4.

[0068] The driving part can be selected from different types according to actual needs, such as an electric push rod, a hydraulic push rod or a pneumatic push rod, etc. The electric push rod has the advantages of high control precision, fast response speed and easy implementation of automatic control, and is suitable for application scenarios with high requirements for precision and speed; the hydraulic push rod has the advantages of large thrust and stable operation, and is suitable for large equipment or occasions that require large thrust; the pneumatic push rod has the advantages of simple structure, low cost and rapid action, and is suitable for occasions with high requirements for speed and relatively low requirements for precision.

[0069] The touch switch can be a mechanical touch switch or an inductive touch switch. The mechanical touch switch has the advantages of simple structure, high reliability, and low cost, and is suitable for occasions with low environmental requirements and relatively low precision requirements; the inductive touch switch has the advantages of non-contact, fast response speed, and long service life, and is suitable for occasions with high precision and reliability requirements.

[0070] There are three cases: ①. Labels 2 - 12 all have displacements, but they are small and reasonable displacements. Then, label 1 is repaired and replaced. After the box door is closed, the push head 6 of label 1 is driven by the driving part, so that the stop ring 5 of label 1 returns to the initial position, and the stop rings 5 of labels 2 - 12 are not pushed by the push head 6.

[0071] ②. Labels 2 - 12 have no displacements. Then, label 1 is repaired and replaced. After the box door is closed, the push head 6 of label 1 is driven by the driving part, so that the stop ring 5 of label 1 is pushed to the same position as label 2, and the stop rings 5 of label 1 and labels 2 - 12 are in corresponding same positions.

[0072] ③. Labels 1 - 12 are all repaired and replaced. Then, after the box door is closed, all corresponding push heads 6 are driven by the driving part, and the stop rings 5 of labels 1 - 12 are pushed to the initial positions.

[0073] In the above structural design, through an accurate displacement detection and judgment mechanism, the displacement situation of the stop ring 5 can be accurately identified, and corresponding calibration measures can be taken according to different situations. For example, in case ①, the small and reasonable displacements of labels 2 - 12 can be accurately judged, and only label 1 is calibrated, avoiding unnecessary adjustments. In case ②, it can ensure that the stop ring 5 of label 1 is accurately pushed to the same position as label 2, so that all stop rings 5 are in corresponding same positions; in case ③, it can make all stop rings 5 accurately return to the initial positions, ensuring the calibration accuracy of the stop ring 5.

[0074] Since the sensing unit is integrated in the stop ring 5, in order to avoid the influence between adjacent two sensing units or improve the density of optical cable wiring, adjacent two stop rings 5 can be staggered.

[0075] One end of the push head 6 facing the stop ring 5 is provided with a pressure sensor, and there is also a calibration verification module to judge whether the pressure sensor collects the contact pressure signal of the stop ring 5 when the push head 6 is pushed by a specified distance, and verify whether there is an abnormal offset of the stop ring 5 according to the judgment result. Specifically, when the push head 6 is pushed by a specified distance, judge whether the pressure sensor collects an effective contact pressure signal. Set a pressure threshold. When the collected pressure value exceeds this threshold, it is considered that the contact pressure signal is collected, indicating that the push head 6 is in contact with the stop ring 5; otherwise, it is considered not in contact.

[0076] The calibration verification module also includes a margin reservation strategy. The margin reservation strategy includes offset anomaly judgment and statistics, which details the judgment results of the stop ring 5 that is predicted to be normal, establishes a data record table to record the judgment results (whether there is an offset anomaly) of each stop ring 5 that is predicted to be normal, traverses the record table to count the number of stop rings 5 with offset anomalies, and judges whether it exceeds half or more.

[0077] Calculation of the margin offset value. If more than half of the stop rings 5 that are predicted to be normal have offset anomalies, calculate the average of the offset amounts of these stop rings 5 with offset anomalies, add up the offset amounts of all stop rings 5 with offset anomalies, and then divide by the number of stop rings 5 with anomalies to obtain the margin offset value.

[0078] Approval of the preset threshold. Transmit the calculated margin offset value to the anomaly analysis module to approve the preset threshold N2, and adjust N2 according to the size of the margin offset value. For example, add the margin offset value to N2 to improve the accuracy of anomaly judgment.

[0079] The existence of the calibration verification module adds a layer of safeguard mechanism to the system, which can timely detect the offset anomaly of the stop ring 5, avoid equipment failures or performance degradation caused by inaccurate positions of the stop ring 5. The margin reservation strategy considers the possible overall offset in the system, approves the preset threshold, enables the system to adaptively adjust during long-term operation, and enhances the stability and reliability of the system.

[0080] The above is only the preferred implementation mode of the present invention. The protection scope of the present invention is not limited to the above embodiments. All technical solutions falling within the idea of the present invention belong to the protection scope of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the principle of the present invention, several improvements and refinements should also be regarded as the protection scope of the present invention.

Claims

1. A self-diagnostic optical cable junction box, comprising a box body (1) and internal wiring and connectors (2) located inside the box body (1), characterized in that: A stop groove (3) is further provided in the box body (1). A stop ring (5) sleeving the external wiring (4) is slidably provided in the stop groove (3). The stop ring (5) is in interference fit with the external wiring (4) to generate a frictional force that restricts the relative movement between the stop ring (5) and the external wiring (4). A plurality of sensing units for collecting different data are integrated in the stop ring (5); further included is a perception and recording module that obtains and records various sensing data collected by the sensing units; an anomaly prediction module that analyzes whether the external wiring (4) is abnormal through an anomaly prediction strategy for each piece of the sensing data. If so, an awakening instruction is output. If not, a sleep instruction is output; an anomaly analysis module that takes the awakening instruction as a trigger condition and analyzes the relative position and relative sensing data between the predicted abnormal stop ring (5) and the adjacent stop ring (5) to obtain the anomaly type, and the anomaly type includes disconnection, crack, looseness, and aging; a maintenance output module that indexes the corresponding maintenance plan in a preset maintenance plan library for the anomaly type and outputs it together with the label number of the abnormal stop ring (5) on the display terminal of the box body (1).

2. The self-diagnostic optical cable junction box according to claim 1, wherein: A pushing member is provided in the stop groove (3). The pushing member is matched with the locking hook of the box door. When the locking hook of the box door moves to lock the box body (1), the locking hook provides a thrust to the pushing member, so that the pushing member pushes the stop ring (5) until each stop ring (5) is in the corresponding position.

3. The self-diagnostic optical cable junction box according to claim 1 or 2, characterized in that: The sensing data includes displacement, temperature value, humidity value, and usage time. The anomaly prediction strategy includes calculating the humidity difference amount by comparing the humidity values at each n moment within the predicted time period, comparing the humidity difference amount with a preset threshold N1 to obtain the difference amount anomaly value, and obtaining the number of times of the difference amount anomaly value. Then, the displacement, temperature value, difference amount anomaly value, number of times, and the usage time of the optical cable are calculated through an anomaly prediction algorithm to obtain the anomaly prediction value.

4. The self-diagnosing optical cable junction box according to claim 3, characterized in that: The anomaly prediction algorithm is configured as: y i = Θ(ΔH i - N1), Among them, y i is the outlier of the difference quantity, ΔH i is the humidity difference quantity at each nth moment, N is the number of times of the outlier of the difference quantity, N total is the total number of humidity measurements within the prediction time period, is to normalize the displacement quantity, D is the displacement quantity measured at the current moment, D min , D max are respectively the minimum and maximum displacement quantities in the historical record, f T is the processed temperature value, T is the temperature value measured at the current moment, T ref is the preset standard temperature value, T std is the standard deviation of the temperature measurement value, f t is the usage time influence factor, t use is the usage time, α is the aging coefficient, t is the integral of the Gaussian smoothing function, t total is the total prediction duration, Δt is the time interval for each humidity measurement, δ is the smoothing coefficient, N max is the preset reference value of the maximum number of abnormal times, P is the abnormal prediction value.

5. The self-diagnostic optical cable junction box according to claim 3, characterized in that: An anomaly analysis strategy is included in the anomaly analysis module. The anomaly analysis strategy includes a relative position judgment step and a sensing data judgment step. In the relative position judgment step, the displacement of the predicted abnormal stop ring (5) and the displacement of the adjacent stop ring (5) are obtained, and it is judged whether the adjacent stop ring (5) is predicted to be abnormal. If so, the displacement is directly compared with a preset threshold N2, and the anomaly type is output as disconnection or looseness according to the comparison result. If not, the displacement difference is calculated by subtracting the displacement of the predicted abnormal stop ring (5) from the displacement of the adjacent stop ring (5) predicted to be normal, and the displacement difference is compared with a preset threshold N3, and the anomaly type is output as disconnection or looseness according to the comparison result; The sensing data judgment step obtains the temperature value of the stop ring (5) predicted to be abnormal and the temperature value of the stop ring (5) adjacent to it, and judges whether the stop ring (5) adjacent to it is predicted to be abnormal. If so, the displacement is directly compared with the preset threshold value N4, and the abnormality type is output as crack or aging according to the comparison result. If not, the temperature value of the stop ring (5) predicted to be abnormal and the temperature value of the stop ring (5) adjacent to it that is predicted not to be abnormal are calculated to obtain the temperature difference, and the temperature difference is compared with the preset threshold value N5, and the abnormality type is output as crack or aging according to the comparison result.

6. The self-diagnostic optical cable junction box according to claim 5, wherein: Two adjacent stop rings (5) are arranged in a staggered manner.

7. The self-diagnostic optical cable junction box according to claim 5, wherein: The pushing member comprises a pushing head (6) and a driving part. The pushing head (6) is located in the stop groove (3) and is sleeved on the external wire (4). A touch switch is provided on the lock buckle of the box body (1). When the lock hook of the box door is hooked into the lock buckle of the box body (1), the touch switch triggers the control driving part to drive the pushing head (6) to move, so that the pushing head (6) pushes the stop ring (5) to slide along the external wire (4).

8. The self-diagnostic optical cable junction box according to claim 7, characterized in that: A pressure sensor is provided at one end of the push head (6) facing the stop ring (5), and also includes a calibration verification module for determining whether the pressure sensor collects a contact pressure signal of the stop ring (5) when the push head (6) pushes a specified distance, and for verifying whether the stop ring (5) has an abnormal deviation based on the determination result.

9. The self-diagnostic optical cable junction box according to claim 8, characterized in that: The calibration verification module also includes a margin reservation strategy, which includes statistically analyzing the judgment results of the stop rings (5) that are predicted to be normal through contact pressure signals to determine whether more than half of the stop rings (5) that are predicted to be normal have offset abnormalities. If so, the offsets of the stop rings (5) with offset abnormalities are averaged as the margin offset value, and transmitted to the abnormality analysis module for verification of the preset threshold value N2.

10. The self-diagnostic optical cable junction box according to claim 7, wherein: The box (1) is a wall-mounted box (1), the bottom surface of the box (1) is provided with a wire hole for inserting an external wire (4), and the side panel of the box (1) is detachably connected to the box (1).

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