Integrated optical cable wiring cabinet and use method

Abstract

The invention belongs to the technical field of optical cable cabinets, and discloses an integrated optical cable wiring cabinet and a use method, and the system comprises the steps: adjusting the positions of a lower transverse partition plate, an upper transverse partition plate and a vertical partition plate assembly; the temperature and humidity acquisition module acquires temperature and humidity data in the cabinet body in real time; the image acquisition module acquires an image of an optical cable in the cabinet body in real time; the image preprocessing module preprocesses the image; a feature extraction module extracts features; the image analysis module identifies abnormal conditions of the optical cable and the joint; the comprehensive evaluation module comprehensively judges abnormal conditions; the height and position of the tail end of the intelligent control fire extinguisher spray pipe are adjusted through the height adjusting mechanism and the transverse movement driving mechanism, and the angle adjusting mechanism adjusts the angle to be aligned with a fire point. The optical cable wiring management can be optimized, the position of each vertical partition plate assembly is adjusted as required, the space size requirements of different optical fiber socket panels can be met, the comprehensive evaluation module comprehensively evaluates the operation condition of the optical cable, and automatic fire extinguishing can be achieved.

Description

Technical Field

[0001] The present application relates to the technical field of optical cable cabinets, and more specifically, to an integrated optical cable routing cabinet and a usage method thereof. Background Art

[0002] The outgoing line quantity of an optical cable cabinet is large, and there are also many types of lines. In order to reduce the signal interference between different cables, the cables need to be routed separately. In the existing cabinets, cable management racks are used to sort out the cables, and a cable management rack needs to be installed below each distribution frame, so the routing inside the cabinet is still relatively messy.

[0003] The prior art document with the publication number CN105451495A provides a classified routing cabinet, including a top frame, a bottom frame, columns between the top frame and the bottom frame, and cable management columns. The columns are arranged in the middle of the side frames of the top frame and the bottom frame, and multiple cable management columns are arranged between the rear frames of the top frame and the bottom frame. A classified routing cabinet involved in this invention can sort out the cables and route them in a classified manner to avoid signal interference.

[0004] Although the above prior art solutions can achieve the relevant beneficial effects through the structures of the prior art, there are still the following defects: 1. In the prior art, the optical fiber socket panels are placed messily, and the routing of optical cables is disorderly. This makes the construction process complex and the later maintenance difficult. Once a failure occurs, it is difficult to quickly troubleshoot due to the chaotic routing, increasing the maintenance cost and time cost. Moreover, the mutual interference between optical cables is quite common, affecting the stability of signal transmission and resulting in a decline in communication quality. 2. The space layout of most traditional cabinets is fixed and does not have the function of flexible adjustment. When encountering optical fiber socket panels of different specifications, it cannot adapt to their space size requirements, and only special cabinets can be customized, increasing the cost and lacking the characteristics of universality and adaptability, which limits the application of the cabinets in diverse projects. 3. When detecting abnormal conditions of optical cables and joints in the prior art, it relies on manual inspection or simple sensor monitoring. Manual inspection has low efficiency and strong subjectivity, is difficult to detect potential subtle safety hazards, and cannot perform real-time monitoring. Problems cannot be discovered and processed in a timely manner, increasing the safety risk. 4. When abnormal conditions such as sparks and fires occur at the optical cable or joint, it may only have a simple alarm function and lacks an automatic fire extinguishing device.

[0005] In view of this, we propose an integrated optical cable routing cabinet and a usage method thereof. Summary of the Invention

[0006] 1. Technical problems to be solved.

[0007] The purpose of this application is to provide an integrated optical cable routing cabinet and its usage method, which solves the technical problems raised in the above-mentioned background technology, realizes the optimization of optical cable routing management, flexibly adjusts the spatial layout, can adjust the positions of each vertical partition component according to needs, and can adapt to the spatial size requirements of different fiber optic socket panels. The comprehensive evaluation module comprehensively evaluates the operation status of the optical cable based on the analysis results of the temperature and humidity acquisition module and the image analysis module, accurately judges abnormal situations; can adjust the height, position and angle of the end of the intelligent control fire extinguisher nozzle through the height adjustment mechanism, horizontal movement drive mechanism and angle adjustment mechanism, so that it aims at the ignition point for fire extinguishing, and effectively controls the spread of the fire.

[0008] 2. Technical solution.

[0009] The technical solution of this application provides an integrated optical cable routing cabinet, including: a cabinet body, a lifting drive mechanism, a lower horizontal partition, an upper horizontal partition, a height adjustment mechanism, a vertical partition component, a sliding seat, an angle adjustment mechanism, a clamping component, an intelligent control fire extinguisher and a monitoring mechanism.

[0010] A lifting drive mechanism is fixedly arranged inside the cabinet body; a lower horizontal partition and an upper horizontal partition are slidably arranged inside the cabinet body; the lower horizontal partition is in transmission connection with the lifting drive mechanism, and the lifting drive mechanism can drive the lower horizontal partition to move up and down; two multi-stage electric telescopic rods are fixedly arranged at the top inside the cabinet body, and the last-stage movable rod of the multi-stage electric telescopic rod is fixedly connected with the upper horizontal partition.

[0011] A plurality of vertical partition components are slidably arranged between the upper and lower ends of the cabinet body and the lower horizontal partition and the upper horizontal partition.

[0012] The internal space of the cabinet body is divided into several areas by the lower horizontal partition, the upper horizontal partition and the vertical partition components to place different fiber optic socket panels, making the optical cable routing organized.

[0013] A cabinet door is rotatably arranged on the cabinet body, and a height adjustment mechanism is fixedly arranged on the inner side of the cabinet door; a toothed plate is arranged in transmission connection on the height adjustment mechanism; a sliding seat is slidably arranged on the toothed plate; an intelligent control fire extinguisher is fixedly arranged above the cabinet body; a horizontal movement drive mechanism is fixedly arranged on the sliding seat, and the horizontal movement drive mechanism is in transmission connection with the toothed plate; the horizontal movement drive mechanism can drive the sliding seat to slide on the toothed plate to adjust the position.

[0014] An angle adjustment mechanism is fixedly arranged on the sliding seat; a clamping component is rotatably arranged on the sliding seat, and the clamping component is in transmission connection with the angle adjustment mechanism, and the angle adjustment mechanism can drive the clamping component to rotate and adjust the angle. The clamping component is used for clamping and positioning the nozzle of the intelligent control fire extinguisher.

[0015] A plurality of fans are arranged on the cabinet body for heat dissipation and temperature reduction treatment of the inside of the cabinet body.

[0016] A monitoring mechanism is provided on the cabinet door, which monitors the working conditions of the cables inside the cabinet body and promptly detects abnormal conditions.

[0017] Through the above technical solution, the internal space of the cabinet body is divided into several areas by the lower horizontal partition, the upper horizontal partition and the vertical partition assembly, and different fiber optic socket panels are placed, making the cable routing organized; the height can be adjusted by driving the lower horizontal partition to move up and down through the lifting drive mechanism; the height can be adjusted by driving the upper horizontal partition to move up and down through the multi-stage electric telescopic rod; the spacing of the vertical partition assemblies at the same horizontal height can be adjusted; the monitoring mechanism monitors the working conditions of the cables inside the cabinet body and promptly detects abnormal conditions. When abnormal conditions are monitored and fire extinguishing treatment is required, the height adjustment mechanism drives the toothed plate to move to a suitable height, the clamping assembly is driven to move horizontally through the horizontal movement drive mechanism, the angle of the clamping assembly is adjusted through the angle adjustment mechanism, and the intelligent control fire extinguisher is used for fire extinguishing treatment.

[0018] As an optional solution of the present invention, the lifting drive mechanism includes motor A, lead screw A and slide bar A.

[0019] Motor A is fixedly arranged at the bottom of the cabinet body; lead screw A and slide bar A are rotatably arranged on the cabinet body; lead screw A is coaxially and fixedly connected to the output end of motor A. Lead screw A is in threaded fit with the lower horizontal partition; slide bar A is in sliding fit with the lower horizontal partition. Lead screw A and slide bar A are in sliding fit with the upper horizontal partition.

[0020] Through the above technical solution, starting motor A drives lead screw A to rotate, and lead screw A drives the lower horizontal partition to move up and down to adjust the height.

[0021] As an optional solution of the present invention, the height adjustment mechanism includes motor B, lead screw B and slide bar B.

[0022] Motor B is fixedly arranged on the inner side of the cabinet door; lead screw B and slide bar B are rotatably arranged on the inner side of the cabinet door; lead screw B is coaxially and fixedly connected to the output end of motor B; the toothed plate is slidably arranged on the inner side of the cabinet door, the toothed plate is in threaded fit with lead screw B, and slide bar B is in sliding fit with lead screw B.

[0023] Through the above technical solution, starting motor B drives lead screw B to rotate, and lead screw B drives the toothed plate to move up and down to adjust the height.

[0024] As an optional solution of the present invention, a horizontal movement drive mechanism is provided on the sliding seat, and the horizontal movement drive mechanism includes motor C and a gear.

[0025] Motor C is fixedly arranged on the sliding seat, the output end of motor C is coaxially and fixedly provided with a gear, and the gear is in meshing transmission connection with the toothed plate.

[0026] Through the above technical solution, the starting motor C drives the gear to rotate. Since the gear is meshed and connected with the toothed plate, the gear drives the sliding seat to move on the toothed plate to achieve position adjustment.

[0027] As an optional solution of the present invention, the angle adjustment mechanism includes a motor D, the output end of which is fixedly connected to the clamping assembly, and the motor D can drive the clamping assembly to rotate to adjust the angle. The angle adjustment mechanism can also be other structures, as long as it can realize the function of driving the clamping assembly to rotate.

[0028] As an optional solution of the present invention, the clamping assembly includes a positioning seat, a pressure plate, and an adjusting bolt.

[0029] The positioning seat is fixedly connected to the output end of the motor D; a pressure plate is detachably fixedly arranged on the positioning seat; and the pressure plate is detachably fixedly arranged on the positioning seat by means of an adjusting bolt.

[0030] A card slot is provided on the positioning seat; the card slot is an arc-shaped structure, a protrusion adapted to the card slot is provided on the pressing plate, and an arc-shaped groove is provided on the protrusion.

[0031] Through the above technical solution, the nozzle end of the intelligent control fire extinguisher can be placed in the slot and fixed by the pressure plate and the adjusting bolt.

[0032] As an optional solution of the present invention, the vertical partition assembly includes a vertical partition A, a vertical partition B, a U-shaped sliding seat and a locking bolt.

[0033] Both the vertical partition A and the vertical partition B are provided with cavities; the vertical partition B is slidably arranged on the vertical partition A; and a plurality of springs are arranged between the vertical partition A and the vertical partition B.

[0034] U-shaped slide seats are fixedly arranged on both sides of the ends of the vertical partition A and the vertical partition B away from the cavity opening; the U-shaped slide seat of the vertical partition A is provided with locking bolts.

[0035] Two guide rails are fixedly arranged at the upper and lower parts of the lower transverse partition and the upper transverse partition; and two guide rails are fixedly arranged at the upper and lower parts of the inner wall of the cabinet body.

[0036] The U-shaped slide seats on the vertical partition A and the vertical partition B are slidably arranged on the corresponding guide rails.

[0037] Through the above technical solution, the vertical partition A and the vertical partition B are pressed tightly between the corresponding two groups of guide rails through multiple springs.

[0038] As an optional solution of the present invention, the monitoring mechanism includes.

[0039] Data collection module: collects data of optical cables in the cabinet and cabinet data; marks the data as a reference sample.

[0040] Temperature and humidity acquisition module: It includes a temperature sensor and a humidity sensor. The temperature sensor is deployed at key parts of the cable, such as cable joints, areas where cables are densely wound, etc. The humidity sensor collects humidity data inside the cabinet body.

[0041] Image acquisition module: It includes multiple high-definition cameras to collect high-definition images of the optical cables inside the cabinet body.

[0042] Image preprocessing module: Preprocesses the collected images, including filtering for noise reduction, grayscale conversion, image enhancement, and normalization, etc.

[0043] Feature extraction module: Extracts features from the preprocessed images. The extracted features include color, texture, and shape. Color features can reflect the coating status on the surface of the optical cable and whether there are abnormal conditions such as color change. Texture features can reveal details such as the degree of wear on the surface of the optical cable and whether there are cracks. Shape features are helpful for judging whether the overall shape of the optical cable has deformed and whether the joints are loose, etc.

[0044] Image analysis module: Analyzes and identifies the images after feature extraction, and promptly identifies abnormal conditions of the optical cable and its joints (including sparks, fires, smoke, and damage and deformation, etc.).

[0045] Comprehensive evaluation module: Based on the analysis results of the temperature and humidity acquisition module and the image analysis module, comprehensively evaluates the operating conditions of the optical cable and accurately judges abnormal conditions.

[0046] Alarm module: It includes an alarm. When abnormal conditions of the optical cable are detected, an alarm is promptly issued.

[0047] Control unit: Is network-connected to the data collection module, temperature acquisition module, image acquisition module, image preprocessing module, feature extraction module, image analysis module, comprehensive evaluation module, and alarm module.

[0048] As an alternative solution of the present invention, the image analysis module analyzes and identifies the images after feature extraction, and promptly identifies abnormal conditions of the optical cable and its joints, including the following steps.

[0049] 1. Data preparation: Collect and organize a large amount of labeled image data of optical cables and their joints. These images should cover various normal and abnormal conditions, including sparks, fires, smoke, damage and deformation, etc., and accurately label the positions and types of abnormal conditions. Divide the labeled image data into a training set, a validation set, and a test set. The training set is used to train the model, the validation set is used to adjust the model parameters to prevent overfitting, and the test set is used to evaluate the final performance of the model.

[0050] 2. Build an analysis model: Select a Convolutional Neural Network (CNN) deep learning model, which has powerful capabilities in image feature extraction and classification. Include classic model architectures such as AlexNet, VGGNet, ResNet, etc., which can be selected according to the actual situation or improved based on them.

[0051] 3. Model training: Input the images of the training set and their corresponding features into the selected CNN model. The model will automatically learn the mapping relationship between different features in the images and abnormal situations. Define a suitable loss function, such as the cross-entropy loss function, to measure the difference between the model's prediction results and the true annotations. Select an optimizer, such as Stochastic Gradient Descent (SGD), Adam optimizer, etc., to update the model's parameters to minimize the loss function. Set the hyperparameters of training, such as the learning rate, number of training epochs, batch size, etc., and adjust these hyperparameters based on the performance on the validation set to obtain the best model performance. During the training process, monitor metrics such as the accuracy, recall, F1 value, etc. of the model on the validation set, observe whether the model shows overfitting or underfitting phenomena, and adjust the model structure or training strategy in a timely manner.

[0052] 4. Feature matching and analysis: Input the features (color, texture, shape, etc.) output by the feature extraction module into the trained model. The model will calculate the probabilities of the image belonging to different abnormal situation categories through forward propagation. Analyze the output results of the model to determine whether there are abnormal situations in the image.

[0053] 5. Abnormal situation localization: The model structure of the Fully Convolutional Network (FCN) outputs pixel-level predictions, which can process the output of the model to obtain a probability map of each pixel belonging to the abnormal situation. Through methods such as threshold segmentation and morphological operations (such as dilation, erosion), extract the area of the abnormal situation from the probability map and determine its position in the image. For region proposal-based object detection methods (such as Faster R-CNN), the model will output bounding boxes containing the abnormal situation, and by analyzing the bounding boxes, the specific position and range of the abnormal situation in the image can be determined.

[0054] 6. Result output: According to the judgment results of the model, determine the types of abnormal situations (sparks, fires, smoke, damage and deformation, etc.) of the optical cable and joints in the image. Output the results in an intuitive way, such as drawing bounding boxes on the image to label the abnormal areas and using text to describe the types of abnormal situations. Record the analysis results for subsequent maintenance and management, and at the same time, the results can be fed back to relevant staff in real time so that they can take measures to handle abnormal situations in a timely manner.

[0055] As an alternative solution of the present invention, the comprehensive evaluation module comprehensively evaluates the operation status of the optical cable according to the analysis results of the temperature and humidity acquisition module and the image analysis module, and comprehensively evaluates abnormal situations; the steps are as follows.

[0056] 1. Data reception and integration: Obtain real-time temperature and humidity data from the temperature and humidity acquisition module. This data should include the measurement values of each temperature sensor and humidity sensor at different time points. Receive the results of image analysis from the image analysis module, including but not limited to information such as whether abnormal situations of the optical cable and joints are detected, the types of abnormal situations, abnormal positions, and corresponding confidence levels, etc. Integrate the obtained temperature and humidity data and the results of image analysis, and associate them in chronological order or other reasonable logical ways for subsequent analysis.

[0057] 2. Data preprocessing: Check the temperature and humidity data to remove obviously incorrect or abnormal data points. Process the confidence levels in the results of image analysis.

[0058] 3. Set evaluation indicators and weights: Determine the various indicators used to evaluate the operation status of the optical cable, such as the degree of temperature abnormality, the degree of humidity abnormality, the severity of abnormal situations in the image, etc. Assign corresponding weights to each evaluation indicator.

[0059] 4. Individual evaluation.

[0060] Temperature evaluation: According to the set normal temperature range, calculate the deviation value between the current temperature and the normal range. If the temperature is higher than the normal upper limit, calculate the exceeded degrees; if it is lower than the normal lower limit, calculate the degrees lower. According to the size of the deviation value, determine the score of the temperature abnormality degree according to certain rules (such as linear relationship or piecewise function).

[0061] Humidity evaluation: Calculate the deviation between the current humidity and the normal range according to the set normal humidity range. Determine the score of the humidity abnormality degree according to the deviation situation.

[0062] Image abnormality evaluation: According to the types of abnormal situations detected by the image analysis module, assign corresponding scores to each abnormal situation according to the pre-set severity grading standard; 5. Comprehensive evaluation calculation: According to the set weights of evaluation indicators and the scores of individual evaluations, use the weighted summation method to calculate the comprehensive evaluation score. Further process the calculated comprehensive evaluation score, such as adjusting or correcting according to the actual situation to ensure the accuracy and reasonableness of the evaluation results.

[0063] 6. Abnormality Judgment and Output: Determine whether there is an abnormality in the operation of the optical cable according to a preset comprehensive evaluation score threshold. If the comprehensive evaluation score is higher than a certain threshold, it is considered that there is an abnormal situation in the operation of the optical cable; if the score is lower than this threshold, the current operation situation is considered normal. When an abnormal situation is judged, detailed abnormal information is output, including descriptions of abnormal temperature and humidity conditions, types and locations of abnormalities detected in the image, etc. Evaluate whether it is necessary to operate the intelligent control fire extinguisher for fire extinguishing, and give the location of the fire extinguishing point.

[0064] The present invention provides a method for using an integrated optical cable routing cabinet, including the following steps.

[0065] S1. Divide the internal space of the cabinet body into several areas through the lower horizontal partition, upper horizontal partition and vertical partition components, place different optical fiber socket panels and lay optical cables, so that the optical cable routing is organized; the lifting drive mechanism can drive the lower horizontal partition to move up and down, and the multi-stage electric telescopic rod drives the upper horizontal partition to move up and down to adjust the height positions of the lower horizontal partition and the upper horizontal partition; adjust the positions of each vertical partition component according to needs to adapt to the space size requirements of different optical fiber socket panels.

[0066] S2. The temperature and humidity acquisition module continuously acquires the temperature and humidity data inside the cabinet body; the image acquisition module continuously acquires high-definition images of the optical cables inside the cabinet body.

[0067] S3. The image preprocessing module of the monitoring mechanism preprocesses the acquired images, including filtering and denoising, grayscale conversion, image enhancement, normalization, etc.

[0068] S4. The feature extraction module extracts features from the preprocessed images, and the extracted features include color, texture and shape.

[0069] S5. The image analysis module analyzes and identifies the images after feature extraction, and promptly identifies abnormal situations of the optical cables and connectors (including sparks, fires, smoke, damage and deformation, etc.).

[0070] S6. The comprehensive evaluation module comprehensively evaluates the operation situation of the optical cable according to the analysis results of the temperature and humidity acquisition module and the image analysis module, and accurately judges abnormal situations.

[0071] S7. When it is detected that the temperature inside the cabinet body is too high, heat dissipation and cooling treatment are carried out on the inside of the cabinet body through multiple fans.

[0072] S8. When an abnormal situation of the optical cable is detected, the alarm module promptly issues an alarm.

[0073] S8. When abnormal situations such as sparks and fires occur at the optical cable or joint, while issuing an alarm, adjust the height and position of the end of the intelligent control fire extinguisher nozzle through the height adjustment mechanism and the lateral movement drive mechanism, and adjust the angle of the end of the intelligent control fire extinguisher nozzle through the angle adjustment mechanism to align it with the fire point; use the intelligent control fire extinguisher to extinguish the fire at the fire point and record the relevant situations.

[0074] 3. Beneficial effects.

[0075] One or more technical solutions provided in the technical solution of the present application have at least the following technical effects or advantages.

[0076] 1. The present invention can optimize the management of optical cable routing. The internal space of the cabinet is divided into several areas by the lower horizontal partition, the upper horizontal partition and the vertical partition assembly, which can orderly place different optical fiber socket panels and lay optical cables, making the optical cable routing organized, facilitating construction and later maintenance, reducing the difficulty of troubleshooting caused by chaotic routing, improving the utilization rate of the cabinet space, and at the same time reducing the mutual interference between optical cables and ensuring the stability of signal transmission. When a fire occurs in a certain area, the lower horizontal partition, the upper horizontal partition and the vertical partition assembly can effectively prevent the spread of fire.

[0077] 2. The space layout can be flexibly adjusted. The lifting drive mechanism drives the lower horizontal partition to move up and down, the multi-stage electric telescopic rod drives the upper horizontal partition to move up and down, and the position of each vertical partition assembly can be adjusted according to needs. This flexible space adjustment method can meet the space size requirements of different optical fiber socket panels, improve the versatility and adaptability of the cabinet, eliminate the need to customize cabinets specifically for different specifications of optical fiber socket panels, and reduce costs.

[0078] 3. Modules such as image analysis can timely identify abnormal situations of optical cables and joints, such as sparks, fires, smoking and damage and deformation. Through the all-round image monitoring and analysis technology, potential safety hazards can be discovered more quickly and accurately, improving the efficiency and accuracy of fault detection.

[0079] 4. The comprehensive evaluation module comprehensively evaluates the operation status of the optical cable according to the analysis results of the temperature and humidity acquisition module and the image analysis module, and accurately judges abnormal situations. This comprehensive evaluation method takes into account multiple factors, can more comprehensively understand the operation status of the optical cable, avoid misjudgment or missed judgment caused by a single factor, and provides a scientific basis for timely taking effective maintenance measures.

[0080] 5. When abnormal situations such as sparks and fires are detected at the optical cable or joint, not only an alarm is issued, but also the height, position and angle of the end of the intelligent control fire extinguisher nozzle can be adjusted through the height adjustment mechanism, transverse movement drive mechanism and angle adjustment mechanism, so that it is aligned with the fire point for fire extinguishing, and relevant situations are recorded. This automatic fire extinguishing function can respond quickly at the initial stage of a fire and effectively control the spread of the fire. BRIEF DESCRIPTION OF THE DRAWINGS

[0081] Figure 1 FIG. 1 is an overall schematic diagram of an integrated optical cable routing cabinet disclosed in a preferred embodiment of the present application.

[0082] Figure 2 FIG. 2 is a schematic structural diagram of a clamping assembly of an integrated optical cable routing cabinet disclosed in a preferred embodiment of the present application.

[0083] Figure 3 FIG. 3 is a schematic structural diagram of a vertical partition assembly of an integrated optical cable routing cabinet disclosed in a preferred embodiment of the present application.

[0084] Reference numerals: 1, cabinet body; 2, lifting drive mechanism; 3, lower horizontal partition; 4, upper horizontal partition; 5, height adjustment mechanism; 6, vertical partition assembly; 7, sliding seat; 8, angle adjustment mechanism; 9, clamping assembly; 10, intelligent control fire extinguisher; 11, guide rail; 12, toothed plate; 13, cabinet door; 14, multi-stage electric telescopic rod; 21, motor A; 22, lead screw A; 23, slide bar A; 51, motor B; 52, lead screw B; 53, slide bar B; 61, vertical partition A; 62, vertical partition B; 63, U-shaped slide seat; 64, locking bolt; 71, motor C; 72, gear; 91, positioning seat; 92, pressing plate; 93, adjusting bolt; 94, clamping groove. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0085] The present application will be further described in detail below with reference to the accompanying drawings of the specification.

[0086] Referring to Figure 1 , an embodiment of the present application provides an integrated optical cable routing cabinet, including: a cabinet body 1, a lifting drive mechanism 2, a lower horizontal partition 3, an upper horizontal partition 4, a height adjustment mechanism 5, a vertical partition assembly 6, a sliding seat 7, an angle adjustment mechanism 8, a clamping assembly 9, an intelligent control fire extinguisher 10 and a monitoring mechanism.

[0087] A lifting drive mechanism 2 is fixedly arranged in the cabinet body 1; a lower horizontal partition 3 and an upper horizontal partition 4 are slidably arranged up and down in the cabinet body 1; the lower horizontal partition 3 is in transmission connection with the lifting drive mechanism 2, and the lifting drive mechanism 2 can drive the lower horizontal partition 3 to move up and down; two multi-stage electric telescopic rods 14 are fixedly arranged at the top inside the cabinet body 1, and the end movable rod of the multi-stage electric telescopic rod 14 is fixedly connected to the upper horizontal partition 4.

[0088] A plurality of vertical partition assemblies 6 are slidably arranged between the upper and lower ends of the cabinet body 1 and the lower horizontal partition 3 and the upper horizontal partition 4.

[0089] The internal space of the cabinet body is divided into several areas by the lower horizontal partition 3, the upper horizontal partition 4 and the vertical partition assemblies 6, and different optical fiber socket panels are placed, so that the cable routing is organized.

[0090] A cabinet door 13 is rotatably arranged on the cabinet body, and a height adjustment mechanism 5 is fixedly arranged on the inner side of the cabinet door 13; a toothed plate 12 is drivingly connected to the height adjustment mechanism 5; a sliding seat 7 is slidably arranged on the toothed plate 12; an intelligent control fire extinguisher 10 is fixedly arranged above the cabinet body; a transverse movement driving mechanism is fixedly arranged on the sliding seat 7, and the transverse movement driving mechanism is drivingly connected to the toothed plate 12; the transverse movement driving mechanism can drive the sliding seat 7 to slide on the toothed plate 12 to adjust the position.

[0091] An angle adjustment mechanism 8 is fixedly arranged on the sliding seat 7; a clamping assembly 9 is rotatably arranged on the sliding seat 7, and the clamping assembly 9 is drivingly connected to the angle adjustment mechanism 8, and the angle adjustment mechanism 8 can drive the clamping assembly 9 to rotate to adjust the angle. The clamping assembly 9 is used for clamping and positioning the nozzle of the intelligent control fire extinguisher 10.

[0092] A plurality of fans are arranged on the cabinet body for heat dissipation and temperature reduction treatment of the interior of the cabinet body.

[0093] A monitoring mechanism is arranged on the cabinet door 13, and the monitoring mechanism monitors the working condition of the cables in the cabinet body 1 and discovers abnormal conditions in time.

[0094] The cabinet body 1 and the cabinet door 13 are made of high-strength metal materials (such as high-quality cold-rolled steel plates), and have good load-bearing capacity and protection performance. Their surfaces are treated by electrostatic spraying, which is not only beautiful but also can effectively prevent corrosion.

[0095] The lower horizontal partition 3, the upper horizontal partition 4 and the vertical partition assemblies 6 are all made of high-strength and lightweight aluminum alloy materials, and their surfaces are flat and smooth, which is convenient for the laying and fixing of optical cables. A plurality of card slots and wire grooves are arranged on the surface of the vertical partition assembly 6 for fixing the optical fiber socket panel and arranging the cable routing. The classified storage and management of different types of optical fiber socket panels and optical cables are realized, and the cable routing is made more organized.

[0096] In this technical solution, the internal space of the cabinet body is divided into several areas by the lower cross partition 3, the upper cross partition 4 and the vertical partition assembly 6 to place different fiber optic socket panels, making the cable routing organized; the lower cross partition 3 can be driven by the lifting drive mechanism 2 to move up and down to adjust the height; the upper cross partition 4 can be driven by the multi-stage electric telescopic rod 14 to move up and down to adjust the height; the distance between the vertical partition assemblies 6 at the same horizontal height can be adjusted; the monitoring mechanism monitors the working condition of the cables in the cabinet body 1 to detect abnormal conditions in time. When an abnormal condition is monitored and fire extinguishing treatment is required, the height adjustment mechanism 5 drives the toothed plate 12 to move to an appropriate height, drives the clamping assembly 9 to move horizontally through the horizontal movement drive mechanism, and adjusts the angle of the clamping assembly 9 through the angle adjustment mechanism 8, so that the nozzle of the intelligent control fire extinguisher 10 faces the position where fire extinguishing is required, and fire extinguishing treatment is carried out through the intelligent control fire extinguisher 10.

[0097] Further, the lifting drive mechanism 2 includes a motor A21, a lead screw A22 and a slide bar A23.

[0098] The motor A21 is fixedly arranged at the bottom of the cabinet body 1; the lead screw A22 and the slide bar A23 are rotatably arranged on the cabinet body 1; the lead screw A22 is coaxially and fixedly connected to the output end of the motor A21. The lead screw A22 is in threaded fit with the lower cross partition 3; the slide bar A23 is in sliding fit with the lower cross partition 3. The lead screw A22 and the slide bar A23 are in sliding fit with the upper cross partition 4.

[0099] In this technical solution, the motor A21 is started to drive the lead screw A22 to rotate, and the lead screw A22 drives the lower cross partition 3 to move up and down to adjust the height.

[0100] Further, the height adjustment mechanism 5 includes a motor B51, a lead screw B52 and a slide bar B53.

[0101] The motor B51 is fixedly arranged inside the cabinet door 13; the lead screw B52 and the slide bar B53 are rotatably arranged inside the cabinet door 13; the lead screw B52 is coaxially and fixedly connected to the output end of the motor B51; the toothed plate 12 is slidably arranged inside the cabinet door 13, the toothed plate 12 is in threaded fit with the lead screw B52, and the slide bar B53 is in sliding fit with the lead screw B52.

[0102] In this technical solution, the motor B51 is started to drive the lead screw B52 to rotate, and the lead screw B52 drives the toothed plate 12 to move up and down to adjust the height.

[0103] Refer to Figure 1 and Figure 2 As shown in

[0104] A motor C71 is fixedly arranged on the sliding seat 7, and an output end of the motor C71 is coaxially and fixedly provided with a gear 72, and the gear 72 is in meshing transmission connection with a toothed plate 12.

[0105] In this technical solution, when the motor C71 is started to drive the gear 72 to rotate, since the gear 72 is in meshing transmission connection with the toothed plate 12, the gear 72 drives the sliding seat 7 to move on the toothed plate 12, realizing position adjustment.

[0106] Furthermore, the angle adjustment mechanism 8 includes a motor D, an output end of the motor D is fixedly connected with the clamping assembly 9, and the motor D can drive the clamping assembly 9 to rotate to adjust the angle. The angle adjustment mechanism 8 can also be other structures, as long as it can realize the function of driving the clamping assembly 9 to rotate.

[0107] Furthermore, the clamping assembly 9 includes a positioning seat 91, a pressing plate 92, and an adjusting bolt 93.

[0108] The positioning seat 91 is fixedly connected with the output end of the motor D; the pressing plate 92 is detachably and fixedly arranged on the positioning seat 91; the pressing plate 92 is detachably and fixedly arranged on the positioning seat 91 through the adjusting bolt 93.

[0109] A clamping groove 94 is formed on the positioning seat 91; the clamping groove 94 is an arc-shaped structure, a convex portion adapted to the clamping groove 94 is arranged on the pressing plate 92, and an arc-shaped groove is formed on the convex portion.

[0110] In this technical solution, the end of the nozzle of the intelligent control fire extinguisher 10 can be placed into the clamping groove 94 and fixed through the pressing plate 92 and the adjusting bolt 93.

[0111] Referring to Figure 3 , the vertical partition plate assembly 6 includes a vertical partition plate A61, a vertical partition plate B62, a U-shaped sliding seat 63, and a locking bolt 64.

[0112] Cavities are arranged on both the vertical partition plate A61 and the vertical partition plate B62; the vertical partition plate B62 is slidably arranged on the vertical partition plate A61; a plurality of springs are arranged between the vertical partition plate A61 and the vertical partition plate B62.

[0113] U-shaped sliding seats 63 are fixedly arranged on both sides of the vertical partition plate A61 and the vertical partition plate B62 away from the opening ends of the cavities; a locking bolt 64 is arranged on the U-shaped sliding seat 63 of the vertical partition plate A61.

[0114] Two guide rails 11 are fixedly arranged above and below the lower horizontal partition plate 3 and the upper horizontal partition plate 4; two guide rails 11 are fixedly arranged on the upper and lower parts of the inner wall of the cabinet body 1.

[0115] The U-shaped sliding seats 63 on the vertical partition plate A61 and the vertical partition plate B62 are slidably arranged on the corresponding guide rails 11.

[0116] In this technical solution, the vertical partition A61 and the vertical partition B62 are pressed tightly between the corresponding two sets of guide rails 11 by multiple springs.

[0117] Furthermore, the monitoring mechanism includes.

[0118] Data collection module: Collect data of the optical cables in the cabinet and data of the cabinet; label the data as reference samples; collect basic parameters of the optical cables, such as model, specification, transmission rate, etc., and also collect environmental data of the cabinet. After collecting these data, the data collection module will perform meticulous labeling work on them. During the labeling process, classification and marking will be carried out according to information such as the source, type, and collection time of the data, making it into sample data with clear characteristics and reference value.

[0119] Temperature and humidity acquisition module: It includes a temperature sensor and a humidity sensor. The temperature sensor is arranged at key parts of the cables, such as cable joints and areas where cables are densely wound. Because these parts are prone to generating heat during normal operation, and once current anomalies occur, the temperature will rise rapidly. The temperature sensor can real-time sense the temperature change of the cables and accurately transmit the temperature data to the control unit of the monitoring mechanism. When the temperature exceeds the preset normal range, the control unit will immediately issue an alarm to remind relevant personnel of the possible overheating risk of the cables, so as to take timely measures to avoid more serious problems caused by overheating, such as damage to the cable insulation layer or even fire. The humidity sensor acquires humidity data inside the cabinet body 1.

[0120] Image acquisition module: It includes multiple high-definition cameras to acquire high-definition images of the optical cables inside the cabinet body 1; the cameras have high resolution, wide viewing angle, and good low-light performance, and can clearly capture the appearance details of the optical cables under various complex environmental conditions. Whether it is the surface state of the optical cables, the connection condition of the joints, or the changes in the surrounding environment, they can all be accurately recorded, providing high-quality original data for subsequent image analysis.

[0121] Image preprocessing module: Preprocess the acquired images, including filtering and denoising, grayscale conversion, image enhancement, and normalization, etc.

[0122] Feature extraction module: Extract features from the preprocessed images. The extracted features include color, texture, and shape; color features can reflect the coating state of the optical cable surface and whether there are abnormal situations such as color change; texture features can reveal details such as the wear degree of the optical cable surface and whether there are cracks; shape features are helpful to judge whether the overall shape of the optical cable has deformed and whether the joints are loose, etc.

[0123] Image analysis module: Analyze and identify the images after feature extraction, and promptly identify abnormal conditions of the optical cable and its joints (including sparks, fires, smoke, and damage and deformation, etc.).

[0124] Comprehensive evaluation module: According to the analysis results of the temperature and humidity acquisition module and the image analysis module, comprehensively evaluate the operating conditions of the optical cable, and accurately judge abnormal conditions.

[0125] Alarm module: Includes an alarm. When abnormal conditions of the optical cable are detected, an alarm is promptly issued.

[0126] Control unit: Network-connected to the data collection module, temperature acquisition module, image acquisition module, image preprocessing module, feature extraction module, image analysis module, comprehensive evaluation module, and alarm module. According to the preset programs and algorithms, analyze and process the data transmitted from each module, and make corresponding decisions.

[0127] Furthermore, the image preprocessing module includes.

[0128] Filtering and denoising: Select a Gaussian filter. The Gaussian filter performs weighted averaging on neighboring pixels according to the Gaussian function, and can retain edge information while smoothing the image. Determine the size of the filter. Generally, an odd-sized window is appropriate. The selection of the window size will affect the denoising effect and the retention degree of image details. A larger window has stronger denoising ability, but may blur image details; a smaller window can better retain details, but the denoising effect is relatively weak. Traverse each pixel of the image, apply the filter to the neighborhood of each pixel, and calculate the new pixel value to achieve the denoising process of the image.

[0129] Grayscale conversion: Use the weighted average method for grayscale conversion. For a color image, each pixel consists of three components: red (R), green (G), and blue (B). According to the different sensitivities of the human eye to different colors, calculate the grayscale value. Traverse all pixels of the image, calculate the R, G, and B components of each pixel according to the above formula to obtain the corresponding grayscale value, and convert the original color image into a grayscale image.

[0130] Image enhancement: Use the histogram equalization method to enhance the contrast of the image. Calculate the histogram of the grayscale image and count the frequency of each gray level. Calculate the cumulative distribution function (CDF) according to the histogram, and redistribute the gray values of the original image through the mapping relationship, so that the gray distribution of the image is more uniform, thereby enhancing the contrast of the image.

[0131] Normalization: Perform normalization processing on the pixel values of the image, and map the range of pixel values to a fixed interval.

[0132] Furthermore, feature extraction includes.

[0133] Color feature extraction: For the preprocessed image, convert it to a suitable color space, such as the HSV (hue, saturation, value) color space. In the HSV space, the representation of colors is more in line with human visual perception. Calculate the color histogram of the image and statistically analyze the distribution of different color components in the image. By analyzing the shape and statistical parameters of the color histogram, the coating state of the optical cable surface and abnormal conditions such as color change can be reflected. Color moments and other features can also be extracted. Color moments are a simple and effective method for representing color features, and the color features are described by calculating statistical quantities such as the mean, variance, and third-order central moment of the image color.

[0134] Texture feature extraction: Select a suitable texture feature extraction method, such as the gray-level co-occurrence matrix (GLCM). Calculate the gray-level co-occurrence matrix of the image in different directions (such as 0°, 45°, 90°, 135°). The elements in the matrix represent the frequency of the gray values between two pixels in a specific direction. Calculate texture feature parameters according to the gray-level co-occurrence matrix, such as contrast, correlation, energy, and entropy. Contrast reflects the clarity of the texture in the image, correlation represents the similarity of the texture, energy represents the uniformity of the image texture, and entropy reflects the complexity of the image texture. Through these parameters, details such as the wear degree of the optical cable surface and whether there are cracks can be revealed. Other texture feature extraction methods, such as local binary pattern (LBP), can also be used. By comparing the gray value relationship between the central pixel and the surrounding neighborhood pixels, a local binary pattern code is generated, and then texture features are extracted.

[0135] Shape feature extraction: Perform edge detection on the image using edge detection algorithms such as the Canny operator and Sobel operator to obtain the edge contour of the image. Process the edge contour, such as contour tracking and contour simplification, to remove noise and unnecessary details. Calculate shape feature parameters, such as perimeter, area, and circularity. The perimeter represents the length of the contour, the area represents the size of the region enclosed by the contour, and circularity measures the similarity of the contour to a circle. Through these parameters, problems such as whether the overall shape of the optical cable is deformed and whether the joint is loose can be judged.

[0136] Furthermore, the image analysis module analyzes and identifies the image after feature extraction, and promptly identifies abnormal conditions of the optical cable and its joints, including the following steps.

[0137] 1. Data preparation: Collect and organize a large number of labeled optical cable and joint image data. These images should cover various normal and abnormal conditions, including sparks, fires, smoke, damage, and deformation. At the same time, accurately label the location and type of abnormal conditions. Divide the labeled image data into a training set, a validation set, and a test set. The training set is used to train the model, the validation set is used to adjust the model parameters to prevent overfitting, and the test set is used to evaluate the final performance of the model.

[0138] 2. Build an analysis model: Select a deep learning model of convolutional neural network (CNN), which has powerful capabilities in image feature extraction and classification. For example, classic model architectures such as AlexNet, VGGNet, ResNet, etc. can be selected according to the actual situation or improved on their basis.

[0139] 3. Model training: Input the images of the training set and their corresponding features into the selected CNN model. The model will automatically learn the mapping relationship between different features in the images and abnormal situations. Define an appropriate loss function, such as the cross-entropy loss function, to measure the difference between the model's prediction results and the true annotations. Select an optimizer, such as stochastic gradient descent (SGD), Adam optimizer, etc., to update the model's parameters to minimize the loss function. Set the hyperparameters of training, such as the learning rate, number of training epochs, batch size, etc., and adjust these hyperparameters based on the performance on the validation set to obtain the best model performance. During the training process, monitor metrics such as accuracy, recall, F1 value, etc. of the model on the validation set, observe whether the model shows overfitting or underfitting phenomena, and adjust the model structure or training strategy in a timely manner.

[0140] The loss function is: L = 1(1 / N)Σ N i=1 Σ C j=1 [w j *y ij *log(p ij )]; In the formula, L represents the value of the loss function, which is the objective we hope to minimize through model training. It comprehensively reflects the degree of difference between the model's prediction results and the true annotations. The smaller the loss value, the closer the model's prediction results are to the real situation. N represents the number of samples. i is the index of the sample, and its value range is from 1 to N. It is used to traverse each training sample so as to calculate the corresponding loss for each sample and accumulate them. C represents the number of categories. In this task, the categories include various abnormal situations (such as sparks, fires, smoke, damage and deformation, etc.) and normal situations, so C is the total number of these different situations. j is the index of the category, and its value range is from 1 to C. It is used to traverse each category so as to calculate the loss contribution of each sample in different categories. w jThe weight assigned to class j. The weight value is set according to the degree of influence of different abnormal conditions on the safety of the optical cable and joint system. For abnormal conditions that may cause serious consequences, such as fire, a larger weight will be assigned to emphasize the importance of the model accurately identifying this type of abnormality; for abnormal conditions with relatively minor impacts, such as slight wear and deformation, the weight value will be relatively low. In this way, when calculating the loss, the prediction errors of different classes will be adjusted according to their weights. y ij is the true label of sample i belonging to class j. If sample i indeed belongs to class i, then y ij = 1; if sample i does not belong to class j, then y ij = 0. p ij is the probability that the model predicts sample i belongs to class j. Its value ranges from 0 to 1. The closer the value is to 1, the more certain the model is that sample i belongs to class j; the closer the value is to 0, the less likely the model thinks sample i belongs to class j.

[0141] 4. Feature matching and analysis: Input the features (color, texture, shape, etc.) output by the feature extraction module into the trained model. The model will calculate the probabilities of the image belonging to different abnormal condition classes through forward propagation. Analyze the results output by the model to determine whether there are abnormal conditions in the image.

[0142] 5. Abnormal condition localization: The fully convolutional network (FCN) outputs a model structure for pixel-level prediction, which can process the output of the model to obtain a probability map of each pixel belonging to the abnormal condition. Through methods such as threshold segmentation and morphological operations (such as dilation and erosion), extract the area of the abnormal condition from the probability map and determine its position in the image. For region proposal-based object detection methods (such as Faster R-CNN), the model will output a bounding box containing the abnormal condition. By analyzing the bounding box, the specific position and range of the abnormal condition in the image can be determined.

[0143] 6. Result output: According to the judgment result of the model, determine the types of abnormal conditions (sparks, fire, smoke, damage and deformation, etc.) of the optical cable and joints in the image. Output the results in an intuitive way, such as drawing a bounding box on the image to mark the abnormal area and using text to describe the type of abnormal condition. Record the analysis results for subsequent maintenance and management, and at the same time, the results can be fed back to relevant staff in real time so that they can take measures to handle the abnormal conditions in a timely manner.

[0144] Furthermore, the comprehensive evaluation module comprehensively evaluates the operation status of the optical cable based on the analysis results of the temperature and humidity acquisition module and the image analysis module, and comprehensively evaluates abnormal conditions; including the following steps.

[0145] 1. Data reception and integration: Obtain real-time temperature and humidity data from the temperature and humidity acquisition module. This data should include the measured values of individual temperature sensors and humidity sensors at different time points. Receive the results of image analysis from the image analysis module, including but not limited to information such as whether anomalies in the optical cable and connectors are detected (such as sparks, fires, smoke, damage and deformation, etc.), the type of anomaly, the abnormal location, and the corresponding confidence level (if any). Integrate the obtained temperature and humidity data and the results of image analysis, and associate them in chronological order or other reasonable logical ways for subsequent analysis.

[0146] 2. Data preprocessing: Check the temperature and humidity data to remove obviously incorrect or abnormal data points. Process the confidence level in the results of image analysis. If the image analysis module gives the confidence level of an abnormal situation, a threshold can be set according to the actual situation. When the confidence level is lower than this threshold, mark or further analyze the corresponding abnormal judgment result to determine its reliability. Normalize the temperature and humidity data, and convert temperature and humidity values in different ranges to a unified interval for subsequent comprehensive analysis with other data.

[0147] 3. Set evaluation indicators and weights: Determine the indicators for evaluating the operation of the optical cable, such as the degree of temperature anomaly, the degree of humidity anomaly, the severity of abnormal situations in the image, etc. For the degree of temperature anomaly, it can be measured according to the degree of deviation of the temperature from the normal range; determined based on the situation where the humidity exceeds the normal range; the severity of abnormal situations in the image can be graded according to the type of anomaly (for example, the severity of a fire is higher than a minor damage). Assign corresponding weights to each evaluation indicator. The assignment of weights should be determined according to the actual situation of the optical cable operation and the influence degree of different factors on the performance of the optical cable. For example, in some environments, temperature has a greater impact on the optical cable, and a higher weight can be given to the degree of temperature anomaly; in an environment with high humidity, the weight of the degree of humidity anomaly can be appropriately increased; for serious abnormal situations such as fires detected in the image, the corresponding weight should also be set higher.

[0148] 4. Single-item evaluation.

[0149] Temperature evaluation: According to the set normal temperature range, calculate the deviation value between the current temperature and the normal range. If the temperature is higher than the normal upper limit, calculate the exceeded degree; if it is lower than the normal lower limit, calculate the lower degree. According to the size of the deviation value, determine the score of the temperature anomaly degree according to certain rules (such as a linear relationship or a piecewise function).

[0150] Humidity evaluation: Based on the set normal humidity range, calculate the deviation of the current humidity from the normal range. Determine the score of the humidity anomaly degree according to the deviation situation.

[0151] Image anomaly assessment: According to the types of anomalies detected by the image analysis module, assign corresponding scores to each anomaly according to the pre-set severity grading criteria.

[0152] 5. Comprehensive evaluation calculation: According to the set weights of evaluation indicators and single-item evaluation scores, calculate the comprehensive evaluation score using the weighted summation method. The comprehensive evaluation is carried out according to the following formula: S = a{[w1*(Σ T1 t=1 S 1t ) / T1]+[w2*(Σ T2 t=1 S 2t ) / T2]}+(1 - a){w3*[Σ n k=1 (S 3k* d k )] / [Σ n k=1 (d k )]}; w1 + w2 + w3 = 1; In the formula, S represents the comprehensive evaluation score. It is used to comprehensively measure the overall operating condition of the optical cable. Through this score, it can be judged whether there are anomalies in the operation of the optical cable and the degree of anomalies. The higher the score, the worse the operating condition of the optical cable and the more serious the anomalies; the lower the score, the relatively better the operating condition of the optical cable and the closer it is to the normal state. a is the adjustment coefficient, and its value range is limited between 0 and 1. The role of this coefficient is to balance the relative importance of temperature and humidity factors and image anomaly factors in the comprehensive evaluation. w1 represents the weight of the temperature anomaly degree. w2 represents the weight of the humidity anomaly degree. w3 is the weight of the severity of image anomalies. This weight is used to measure the importance of the anomalies detected by image analysis (such as sparks, fires, breakage and deformation, etc.) on the operating condition of the optical cable in the comprehensive evaluation. For some scenarios that are more sensitive to image anomalies, such as in important communication hubs, a relatively high weight may be assigned to w3. S 1t refers to the single-item evaluation score of the temperature anomaly degree at time point t. Here, t is the time index, ranging from 1 to T1. At each time point, according to the comparison of the current temperature measurement value with the normal temperature range, calculate the temperature anomaly score at this time point according to certain evaluation rules (such as the magnitude of temperature deviation, the duration of deviation, etc.). T1 represents the time period length for statistical temperature data, and the unit is the number of time intervals. S 2t is the single-item evaluation score of the humidity anomaly degree at time point t. At each time point, calculate the humidity anomaly score at this time point according to the difference between the current humidity measurement value and the normal humidity range and the corresponding evaluation rules. T2 is the time period length for statistical humidity data, and the unit is the number of time intervals. S 3kRepresents the severity score of the k-th detected image anomaly. Here, k is the index of the image anomaly, ranging from 1 to n. Each time an anomaly in the optical cable is detected through image analysis, a corresponding score is assigned according to the type of anomaly (such as fire, breakage, etc.) and its severity, following a pre-set scoring standard. n is the total number of times image anomalies are detected within the statistical period. d k Represents the duration of the k-th image anomaly, in units of time intervals. When an image anomaly is detected, the number of time intervals from the start to the end of the anomaly is recorded.

[0153] Further process the calculated comprehensive evaluation score, such as adjusting or correcting it according to the actual situation, to ensure the accuracy and rationality of the evaluation result.

[0154] 6. Anomaly Judgment and Output: According to the pre-set threshold of the comprehensive evaluation score, judge whether there is an anomaly in the operation of the optical cable. If the comprehensive evaluation score is higher than a certain threshold, it is considered that there is an anomaly in the operation of the optical cable; if the score is lower than the threshold, the current operating condition is considered normal. When an anomaly is judged to exist, output detailed anomaly information, including descriptions of temperature and humidity anomalies, types and locations of anomalies detected in the image, etc. Evaluate whether it is necessary to operate the intelligent control fire extinguisher 10 for fire extinguishing, and give the location of the fire extinguishing point.

[0155] The present invention provides a method for using an integrated optical cable routing cabinet, including the following steps.

[0156] S1. Divide the internal space of the cabinet body into several areas through the lower cross partition 3, the upper cross partition 4, and the vertical partition assembly 6 to place different fiber optic socket panels and route the optical cable, making the optical cable routing organized; the lifting drive mechanism 2 can drive the lower cross partition 3 to move up and down, and the multi-stage electric telescopic rod 14 drives the upper cross partition 4 to move up and down to adjust the height positions of the lower cross partition 3 and the upper cross partition 4; adjust the positions of each vertical partition assembly 6 as needed to adapt to the space size requirements of different fiber optic socket panels.

[0157] S2. The temperature and humidity acquisition module continuously acquires temperature and humidity data inside the cabinet body 1; the image acquisition module continuously acquires high-definition images of the optical cable inside the cabinet body 1.

[0158] S3. The image preprocessing module of the monitoring mechanism preprocesses the acquired images, including filtering and denoising, grayscale conversion, image enhancement, and normalization, etc.

[0159] S4. The feature extraction module extracts features from the preprocessed images, and the extracted features include color, texture, and shape.

[0160] S5. The image analysis module analyzes and identifies the images after feature extraction, and promptly identifies abnormal conditions of the optical cable and joints (including sparks, fires, smoke, and damage and deformation, etc.).

[0161] S6. The comprehensive evaluation module comprehensively evaluates the operation condition of the optical cable according to the analysis results of the temperature and humidity acquisition module and the image analysis module, and accurately judges abnormal conditions.

[0162] S7. When it is detected that the temperature inside the cabinet body 1 is too high, heat dissipation and temperature reduction treatment is carried out on the inside of the cabinet body through multiple fans.

[0163] S8. When an abnormal condition of the optical cable is detected, the alarm module promptly issues an alarm.

[0164] S8. When an abnormal condition of spark ignition occurs at the optical cable or joint, while issuing an alarm, the height and position of the end of the nozzle of the intelligent control fire extinguisher 10 are adjusted through the height adjustment mechanism 5 and the transverse movement drive mechanism, and the angle of the end of the nozzle of the intelligent control fire extinguisher 10 is adjusted through the angle adjustment mechanism 8 to make it aim at the ignition point; the intelligent control fire extinguisher 10 is used to extinguish the fire at the ignition point, and relevant situations are recorded.

[0165] The working principle of an integrated optical cable routing cabinet of the present invention is as follows: In the initial state, the internal space of the cabinet body is divided into several areas by the lower horizontal partition 3, the upper horizontal partition 4 and the vertical partition assembly 6 to place different optical fiber socket panels and route optical cables, making the optical cable routing organized; the lifting drive mechanism 2 can drive the lower horizontal partition 3 to move up and down, and the multi-stage electric telescopic rod 14 drives the upper horizontal partition 4 to move up and down to adjust the height positions of the lower horizontal partition 3 and the upper horizontal partition 4; adjust the positions of the respective vertical partition assemblies 6 according to needs to adapt to the space size requirements of different optical fiber socket panels; the temperature and humidity acquisition module continuously acquires the temperature and humidity data inside the cabinet body 1; the image acquisition module continuously acquires high-definition images of the optical cables inside the cabinet body 1; the image preprocessing module of the monitoring mechanism preprocesses the acquired images, including filtering and denoising, grayscale conversion, image enhancement and normalization, etc.; the feature extraction module extracts features from the preprocessed images; the image analysis module analyzes and identifies the images after feature extraction to timely identify abnormal conditions of the optical cables and connectors (including sparks, fires, smoke and damage and deformation, etc.). The comprehensive evaluation module comprehensively evaluates the operation conditions of the optical cables according to the analysis results of the temperature and humidity acquisition module and the image analysis module to accurately judge abnormal conditions; when it is monitored that the temperature inside the cabinet body 1 is too high, heat dissipation and cooling treatment are carried out on the inside of the cabinet body through multiple fans; when it is monitored that there is an abnormal condition with the optical cable, the alarm module issues an alarm in time; when it is monitored that there is an abnormal condition such as a spark or fire at the optical cable or connector, while issuing an alarm, the height and position of the end of the nozzle of the intelligent control fire extinguisher 10 are adjusted through the height adjustment mechanism 5 and the lateral movement drive mechanism, and the angle of the end of the nozzle of the intelligent control fire extinguisher 10 is adjusted through the angle adjustment mechanism 8 to make it aim at the ignition point; the intelligent control fire extinguisher 10 is used to extinguish the fire at the ignition point and record relevant situations.

[0166] The present invention can optimize the management of the cable routing of optical cables. By means of a lower cross partition board, an upper cross partition board and a vertical partition board assembly, the internal space of the cabinet is divided into several areas, which can orderly place different optical fiber socket panels and lay optical cables, making the cable routing of optical cables organized, facilitating construction and later maintenance, reducing the difficulty of troubleshooting faults caused by chaotic routing, improving the utilization rate of the cabinet space, and at the same time reducing the mutual interference between optical cables and ensuring the stability of signal transmission. The spatial layout can be flexibly adjusted. The lifting drive mechanism drives the lower cross partition board to move up and down, the multi-stage electric telescopic rod drives the upper cross partition board to move up and down, and the positions of the respective vertical partition board assemblies can be adjusted as needed. This flexible spatial adjustment method can adapt to the spatial size requirements of different optical fiber socket panels, improving the versatility and adaptability of the cabinet, facilitating the satisfaction of diverse engineering requirements, eliminating the need to specially customize cabinets for different specifications of optical fiber socket panels, and reducing costs. Modules such as image analysis can promptly identify abnormal conditions of optical cables and connectors, such as sparks, fires, smoke, and damage and deformation. Potential safety hazards can be discovered more quickly and accurately, improving the efficiency and accuracy of fault detection. The comprehensive evaluation module comprehensively evaluates the operating conditions of the optical cables based on the analysis results of the temperature and humidity acquisition module and the image analysis module, and accurately judges abnormal conditions. When abnormal conditions such as sparks and fires are detected at the optical cable or connector, not only an alarm is issued, but also the height, position, and angle of the end of the intelligent control fire extinguisher nozzle are adjusted through the height adjustment mechanism, the lateral movement drive mechanism, and the angle adjustment mechanism to align it with the ignition point for fire extinguishing, and relevant situations are recorded. This automatic fire extinguishing function can quickly respond at the initial stage of a fire and effectively control the spread of the fire.

[0167] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for using an integrated optical cable routing cabinet, characterized in that, Including the following steps: S1. The lifting drive mechanism drives the lower cross partition to move, and the multi-stage electric telescopic rod drives the upper cross partition to move; adjust the positions of the respective vertical partition components as needed to adapt to the sizes of different optical fiber socket panels; S2. The temperature and humidity acquisition module acquires the temperature and humidity data inside the cabinet in real time; the image acquisition module acquires high-definition images of the optical cables inside the cabinet in real time; S3. The image preprocessing module of the monitoring mechanism preprocesses the acquired images; S4. The feature extraction module extracts features from the preprocessed images; S5. The image analysis module analyzes and identifies the images after feature extraction, and promptly identifies abnormal conditions of the optical cables and joints; S6. The comprehensive evaluation module comprehensively evaluates the operating conditions of the optical cables based on the analysis results of the temperature and humidity acquisition module and the image analysis module, and comprehensively judges abnormal conditions; S7. When it is detected that the temperature inside the cabinet is too high, heat dissipation and cooling treatment are performed on the inside of the cabinet through multiple fans; S8. When it is detected that there are abnormal conditions in the optical cables, the alarm module promptly issues an alarm; S8. When it is detected that there are abnormal conditions such as sparks and fires at the optical cables or joints, the height and position of the end of the intelligent control fire extinguisher nozzle are adjusted through the height adjustment mechanism and the lateral movement drive mechanism, and the angle adjustment mechanism adjusts the angle to align it with the ignition point; the intelligent control fire extinguisher is used to extinguish the fire at the ignition point.

2. The method for using an integrated optical cable routing cabinet according to claim 1, wherein: Step S5 includes the following steps: S51. Data preparation: Collect a large amount of labeled optical cable and joint image data, and label the positions and types of abnormal conditions; divide the labeled image data into a training set, a validation set, and a test set; S52. Build an analysis model: Select the convolutional neural network CNN deep learning model; S53. Model training: Input the images in the training set and their corresponding features into the selected CNN model; enable it to automatically learn the mapping relationship between features and abnormal conditions; define the cross-entropy loss function to measure the difference between the prediction and the true label; select the Adam optimizer to update the model parameters to minimize the loss function; adjust the hyperparameters according to the performance of the validation set to optimize the model performance; S54. Feature matching and analysis: Input the features output by the feature extraction module into the trained model, and the model calculates the probabilities of the images belonging to different abnormal condition categories through forward propagation; analyze the results output by the model to judge whether there are abnormal conditions in the images; S55. Abnormal condition localization: The fully convolutional network FCN outputs the model structure of pixel-level prediction, processes the output of the model, obtains the probability map of each pixel belonging to the abnormal condition, extracts the area of the abnormal condition from the probability map, and determines its position in the image; S56. Result output: Determine the types of abnormal conditions of the optical cables and joints in the images according to the judgment results of the model; output the results in an intuitive manner.

3. The method for using an integrated optical cable routing cabinet according to claim 2, wherein: In step S53, the loss function is: L = 1(1 / N)Σ N i=1 Σ C j=1 [w j *y ij *log(p ij )]; where L represents the value of the loss function; N represents the number of samples; i is the index of the sample; C represents the number of classes; j is the index of the class; w j is the weight assigned to class j; y ij is the true label that sample i belongs to class j; p ij is the probability that the model predicts that sample i belongs to class j.

4. The method for using an integrated optical cable routing cabinet according to claim 1, characterized in that: Step S6 includes the following steps: S61. Data reception and integration: Obtain the real-time temperature and humidity data from the temperature and humidity acquisition module; receive the results of the image analysis from the image analysis module; integrate the obtained temperature and humidity data and the image analysis results; S62. Data preprocessing: Check the temperature and humidity data, and remove the data points with obvious errors or anomalies; Process the confidence levels in the image analysis results. S63. Set evaluation indicators and weights: Determine the indicators used to evaluate the operation of the optical cable, and assign corresponding weights to each evaluation indicator. S64. Individual evaluation: Calculate the deviation value between the current temperature and the normal range according to the set normal temperature range; Calculate the deviation between the current humidity and the normal range according to the set normal humidity range; Determine the score of the humidity anomaly degree based on the deviation; According to the types of abnormal situations detected by the image analysis module, assign corresponding scores to each abnormal situation according to the preset severity classification standard. S65. Comprehensive evaluation calculation: According to the set evaluation indicator weights and individual evaluation scores. S66. Abnormal situation judgment and output: Determine whether there is an abnormality in the operation of the optical cable according to the preset comprehensive evaluation score threshold; Evaluate whether it is necessary to operate the intelligent control fire extinguisher to extinguish the fire, and give the location of the fire point to be extinguished.

5. The method for using an integrated optical cable routing cabinet according to claim 4, wherein: In step S65, the comprehensive evaluation is carried out according to the following formula: S = a{[w1 * (Σ T1 t=1 S 1t ) / T1] + [w2 * (Σ T2 t=1 S 2t ) / T2]} + (1 - a){w3 * [Σ n k=1 (S 3k* d k )] / [Σ n k=1 (d k )]}; w1 + w2 + w3 = 1; In the formula, S represents the comprehensive evaluation score; a is the adjustment coefficient; w1 represents the weight of the temperature anomaly degree; w2 represents the weight of the humidity anomaly degree; w3 is the weight of the severity of the image anomaly; S 1t refers to the single - item evaluation score of the temperature anomaly degree at time point t, where t is the time index; T1 represents the time - period length for statistical temperature data; S 2t is the single - item evaluation score of the humidity anomaly degree at time point t; T2 is the time - period length for statistical humidity data; S 3k represents the severity score of the k - th detected image anomaly, where k is the index of the image anomaly; n is the total number of detected image anomalies within the statistical period; d k represents the duration of the k - th image anomaly.

6. The method for using an integrated optical cable routing cabinet according to claim 1, characterized in that: The lifting drive mechanism includes motor A, lead screw A, and slide bar A. A motor A is fixedly arranged at the bottom of the cabinet body; A lead screw A and a slide bar A are rotatably arranged on the cabinet body; The lead screw A is coaxially and fixedly connected to the output end of the motor A; The lead screw A is in threaded fit with the lower horizontal partition; The slide bar A is in sliding fit with the lower horizontal partition; The lead screw A and the slide bar A are in sliding fit with the upper horizontal partition.

7. The method for using the integrated optical cable routing cabinet according to claim 1, wherein: The height adjustment mechanism includes motor B, lead screw B, and slide bar B. A motor B is fixedly arranged on the inner side of the cabinet door; A lead screw B and a slide bar B are rotatably arranged on the inner side of the cabinet door; The lead screw B is coaxially and fixedly connected to the output end of the motor B; The toothed plate is in threaded fit with the lead screw B, and the slide bar B is in sliding fit with the lead screw B.

8. The method for using an integrated optical cable routing cabinet according to claim 1, wherein: The lateral movement drive mechanism includes motor C and gear. A motor C is fixedly arranged on the sliding seat, and the output end of the motor C is coaxially fixedly provided with a gear, and the gear is in meshing transmission connection with the toothed plate.

9. The method for using an integrated optical cable routing cabinet according to claim 1, wherein: The angle adjustment mechanism includes motor D, and the output end of the motor D is fixedly connected to the clamping assembly. The motor D can drive the clamping assembly to rotate and adjust the angle.

10. The method for using the integrated optical cable routing cabinet according to claim 9, characterized in that: The clamping assembly includes a positioning seat, a pressing plate, and an adjusting bolt. The positioning seat is fixedly connected to the output end of the motor D; A pressing plate is detachably fixed on the positioning seat; The pressing plate is detachably fixed on the positioning seat through an adjusting bolt; A clamping groove is provided on the positioning seat; The clamping groove is an arc-shaped structure, and a protrusion adapted to the clamping groove is provided on the pressing plate, and an arc-shaped groove is provided on the protrusion.

11. The method for using the integrated optical cable routing cabinet according to claim 1, characterized in that: The vertical partition assembly includes vertical partition A, vertical partition B, U-shaped sliding seat, and locking bolt. Both vertical partition A and vertical partition B are provided with cavities; vertical partition B is slidably arranged on vertical partition A; multiple springs are arranged between vertical partition A and vertical partition B; U-shaped slides are fixedly arranged on both sides of the ends of vertical partition A and vertical partition B away from the cavity opening; locking bolts are arranged on the U-shaped slide of vertical partition A; two guide rails are fixedly arranged on the upper and lower parts of the lower transverse partition and the upper transverse partition; two guide rails are fixedly arranged on the upper and lower parts of the inner wall of the cabinet body; the U-shaped slides on the vertical partition A and vertical partition B are slidably arranged on the corresponding guide rails.

12. The method for using an integrated optical cable routing cabinet according to claim 1, wherein: Monitoring agencies include: Data collection module: collects data of optical cables in the cabinet and cabinet data; marks the data as a reference sample; Temperature and humidity acquisition module: including temperature sensor and humidity sensor. The temperature sensor is arranged at the key position of the cable to collect temperature data, and the humidity sensor collects humidity data in the cabinet body. Image acquisition module: includes multiple high-definition cameras to collect high-definition images of the optical cables inside the cabinet; Image preprocessing module: preprocess the collected images, including filtering and denoising, grayscale, image enhancement and normalization; Feature extraction module: extracts features from the preprocessed image. The extracted features include color, texture and shape. Image analysis module: Analyze and identify the image after feature extraction to identify abnormal conditions of optical cables and connectors; Comprehensive evaluation module: Based on the analysis results of the temperature and humidity acquisition module and the image analysis module, it comprehensively evaluates the operation of the optical cable and comprehensively judges abnormal situations; Alarm module: including an alarm, which will promptly sound an alarm when abnormal conditions are detected in the optical cable; Control unit: connected to the data collection module, temperature collection module, image collection module, image preprocessing module, feature extraction module, image analysis module, comprehensive evaluation module and alarm module network.

13. An integrated optical cable routing cabinet, comprising: Cabinet body, lifting drive mechanism, lower transverse partition, upper transverse partition, height adjustment mechanism, vertical partition assembly, sliding seat, angle adjustment mechanism, clamping assembly, intelligent control fire extinguisher and monitoring mechanism; characterized in that: A lifting drive mechanism is fixedly arranged in the cabinet body; a lower transverse partition and an upper transverse partition are slidably arranged in the cabinet body; the lower transverse partition is transmission-connected with the lifting drive mechanism, and the lifting drive mechanism can drive the lower transverse partition to move up and down; two multi-stage electric telescopic rods are fixedly arranged on the top of the cabinet body, and the last-stage movable rod of the multi-stage electric telescopic rod is fixedly connected with the upper transverse partition; A plurality of vertical partition assemblies are slidably arranged between the upper and lower ends of the cabinet body and the lower horizontal partition and the upper horizontal partition; the internal space of the cabinet body is divided into several areas by the lower horizontal partition, the upper horizontal partition and the vertical partition assemblies, and different optical fiber socket panels are placed to make the optical cable routing more organized; The cabinet body is rotatably provided with a cabinet door, and a height adjustment mechanism is fixedly provided inside the cabinet door; a tooth plate is provided on the height adjustment mechanism in a transmission connection; a sliding seat is slidably provided on the tooth plate; an intelligent control fire extinguisher is fixedly provided above the cabinet body; a transverse driving mechanism is fixedly provided on the sliding seat, and the transverse driving mechanism is transmission-connected with the tooth plate; An angle adjustment mechanism is fixedly arranged on the sliding seat; a clamping component is rotatably arranged on the sliding seat, the clamping component is in transmission connection with the angle adjustment mechanism, and the angle adjustment mechanism can drive the clamping component to rotate; a plurality of fans are arranged on the cabinet body; A monitoring mechanism is arranged on the cabinet door, and the monitoring mechanism monitors the working conditions of the cables in the cabinet body to timely detect abnormal conditions.

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