Cable joint multi-mode moisture sensing early warning moistureproof device

Abstract

The invention discloses a cable joint multi-mode moisture sensing early warning moisture-proof device, which relates to the field of moisture sensing early warning, and comprises a joint main body, one end of the joint main body is in threaded connection with an adapter, a reinforcing ring is in threaded installation at the junction of the joint main body and the adapter, and the end part of the adapter is fixedly provided with a moisture-proof sensing mechanism. The moisture-proof sensing mechanism comprises a waterproof sleeve and a lining, and one end of the waterproof sleeve is fixedly connected with one end of the lining. According to the invention, a multi-mode sensing system is formed by a plurality of different types of sensors, information of a target object is obtained from different angles, and the information is integrated and analyzed through a data fusion technology, so that the state of the target object is described more comprehensively and accurately, and the detection accuracy is improved in cable joint moisture detection. Different detection technologies have different response characteristics to moisture, the limitation of a single detection technology can be made up through multi-modal sensing, and the accuracy and reliability of detection are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of moisture perception and early warning, and particularly to a multi-modal moisture perception and early warning moisture-proof device for cable joints. Background Technique

[0002] A moisture perception and early warning device for cable joints is a device used to monitor the moisture condition at the cable joint in real time and issue an early warning in a timely manner when there is a risk of moisture intrusion.

[0003] However, in the prior art, the early warning device usually only uses one type of sensor. A single type of sensor can only obtain moisture information in one aspect. For example, only using a capacitive humidity sensor can only monitor the environmental humidity inside the outer protective layer of the cable joint, and it is impossible to know the content and distribution of hidden moisture inside the cable joint, nor is it easy to continuously monitor the moisture distribution along the cable joint. This can easily lead to some potential moisture problems not being discovered in time, because moisture in different positions and forms may have different effects on the cable joint, and it is difficult to comprehensively evaluate the moisture condition of the cable joint relying only on single information. Summary of the Invention

[0004] The purpose of the present invention is to provide a multi-modal moisture perception and early warning moisture-proof device for cable joints to solve the problem proposed in the above background technique that a single type of sensor can only obtain moisture information in one aspect, which may lead to some potential moisture problems not being discovered in time, because moisture in different positions and forms may have different effects on the cable joint, and it is difficult to comprehensively evaluate the moisture condition of the cable joint relying only on single information.

[0005] To achieve the above purpose, the present invention provides the following technical solution: A multi-modal moisture perception and early warning moisture-proof device for cable joints, including a joint body. One end of the joint body is threadedly connected with an adapter. A reinforcing ring is threadedly installed at the junction of the joint body and the adapter. A moisture-proof perception mechanism is fixedly installed at the end of the adapter. The moisture-proof perception mechanism includes a waterproof sleeve and a bushing. One end of the waterproof sleeve is fixedly connected with one end of the bushing. The bushing is fixedly installed on the inner side wall of the adapter. The diameter of the waterproof sleeve is equal to the diameter of the adapter. A convex block is fixedly installed at the junction of the waterproof sleeve and the bushing. A positioning block is rotatably connected to the outer wall of the convex block. An alarm lamp is provided between the reinforcing ring and the adapter. A data processing system is also used, and this system is used to process the perception data of the moisture-proof perception mechanism and transmit the detection information.

[0006] Preferably, a collar is fixedly connected between multiple positioning blocks. The convex block is located at the quarter point of the waterproof sleeve. The positioning block is parallel to the axis of the adapter.

[0007] Preferably, the waterproof sleeve includes an outer protective layer, an inner protective layer, and an elastic layer. The elastic layer is sewn between the outer protective layer and the inner protective layer, and the edge of the outer protective layer is fixedly connected to the connection head.

[0008] Preferably, positioning nodes are fixedly installed at the junctions of the elastic layer with the outer protective layer and the inner protective layer. A reinforcing rib is fixedly connected between two laterally adjacent positioning nodes, and a support rib is fixedly connected between two longitudinally adjacent positioning nodes.

[0009] Preferably, the bushing includes an adhesive layer, an installation layer, and a filling layer. The adhesive layer is bonded to the inner wall of the connection head. The filling layer is sewn between the adhesive layer and the installation layer, and a positioning groove is formed inside the installation layer.

[0010] Preferably, the data processing system includes a sensor module, a signal processing module, a data fusion and analysis module, and a communication and display module. The sensor module is used to sense external moisture information. The signal processing module is used to preprocess the analog signals collected by the sensors. The data fusion and analysis module uses data fusion algorithms to perform in-depth fusion processing on the multi-modal data output by the signal processing module. The communication and display module is used for information interaction between the device and the outside world.

[0011] Preferably, the sensor module includes a capacitive humidity sensor, an optical fiber sensor, and a microwave sensor. The capacitive humidity sensor is installed on one side of the positioning block, specifically inside the waterproof sleeve, and is used to monitor the humidity of the environment around the connection head in real time. The optical fiber sensor is laid along the axis of the connection head, specifically inside the positioning groove, and is used for continuous monitoring of the moisture distribution along the connection head. The microwave sensor adopts an embedded design and is embedded in the insulating layer of the connection head to detect moisture inside the connection head.

[0012] Preferably, the signal processing module is used to amplify the analog signals collected by the sensors, and perform filtering, analog-to-digital conversion processing, convert them into digital signals, and perform preliminary analysis and feature extraction on the digital signals.

[0013] Preferably, the data fusion and analysis module uses data fusion algorithms, including but not limited to D-S evidence theory, Kalman filtering, neural networks, to perform fusion processing on the preprocessed multi-modal data, comprehensively analyze the relationships between different sensor data, and extract moisture information.

[0014] Preferably, the communication module in the communication and display module is used for data transmission with the remote monitoring center, to obtain the moisture detection data and status information of the cable joint. The display module uses a liquid crystal display screen or a touch screen to display the moisture detection results, status evaluation information, and historical data curves of the cable joint in real time.

[0015] Compared with the prior art, the beneficial effects of the present invention are: 1. In the present invention, a multi-modal perception system is composed of various different types of sensors to obtain information about the target object from different perspectives, and these information are integrated and analyzed through data fusion technology, so as to more comprehensively and accurately describe the state of the target object. In the moisture detection of cable joints, different detection technologies have different response characteristics to moisture. Multi-modal perception can make up for the limitations of a single detection technology and improve the accuracy and reliability of detection.

[0016] 2. In the present invention, the system integrates three types of sensors: capacitive, microwave, and optical fiber, collects data from multiple dimensions of the external environment, internal structure, and along-the-line distribution, and deeply integrates and analyzes them in combination with algorithms such as D-S evidence theory and neural network, eliminates the limitations of a single sensor, effectively avoids missed detection and misjudgment, accurately captures moisture abnormalities in cable joints, and provides a reliable basis for moisture-proof protection.

[0017] 3. In the present invention, the communication module supports multiple communication methods and transmits data to the remote monitoring center in real time, facilitating managers to remotely control the state of cable joints; the display module presents the detection results and historical data in an intuitive interface, and on-site personnel can quickly obtain information. When an early warning occurs, remote and on-site personnel can respond in a timely manner, significantly improving the efficiency of moisture monitoring and emergency handling of cable joints. Description of the Drawings

[0018] Figure 1 It is a schematic structural diagram of a multi-modal moisture perception and early warning moisture-proof device for a cable joint of the present invention; Figure 2 It is a schematic plan view of a multi-modal moisture perception and early warning moisture-proof device for a cable joint of the present invention; Figure 3 It is a schematic internal structure diagram of a multi-modal moisture perception and early warning moisture-proof device for a cable joint of the present invention; Figure 4 It is a schematic waterproof sleeve structure diagram of a multi-modal moisture perception and early warning moisture-proof device for a cable joint of the present invention; Figure 5 It is a schematic bushing structure diagram of a multi-modal moisture perception and early warning moisture-proof device for a cable joint of the present invention; Figure 6 It is a schematic diagram of each module of a multi-modal moisture perception and early warning moisture-proof device for a cable joint of the present invention; Figure 7 It is a schematic system flow diagram of a multi-modal moisture perception and early warning moisture-proof device for a cable joint of the present invention.

[0019] In the figure: 1. Connector body; 2. Adapter; 3. Reinforcement ring; 4. Moisture-proof sensing mechanism; 5. Capacitive humidity sensor; 6. Fiber optic sensor; 7. Microwave sensor; 8. Alarm lamp; 41. Waterproof sleeve; 42. Bushing; 43. Positioning block; 44. Collar; 45. Protrusion; 411. Outer protective layer; 412. Inner protective layer; 413. Elastic layer; 414. Positioning node; 415. Support rib; 416. Reinforcing rib; 421. Adhesive layer; 422. Installation layer; 423. Filling layer; 424. Positioning groove. Detailed implementation

[0020] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0021] Embodiment 1: Refer to Figure 1 , Figure 2 , Figure 3 , Figure 4 and Figure 5As shown: A multi-modal moisture sensing and warning moisture-proof device for cable joints, including a joint body 1, one end of the joint body 1 is threadedly connected with an adapter 2, a reinforcing ring 3 is threadedly installed at the junction of the joint body 1 and the adapter 2, and a moisture-proof sensing mechanism 4 is fixedly installed at the end of the adapter 2. The moisture-proof sensing mechanism 4 includes a waterproof sleeve 41 and a bushing 42. One end of the waterproof sleeve 41 is fixedly connected to one end of the bushing 42. The bushing 42 is fixedly installed on the inner wall of the adapter 2. The diameter of the waterproof sleeve 41 is equal to the diameter of the adapter 2. A convex block 45 is fixedly installed at the junction of the waterproof sleeve 41 and the bushing 42. A positioning block 43 is rotatably connected to the outer wall of the convex block 45. An alarm lamp 8 is arranged between the reinforcing ring 3 and the adapter 2. A collar 44 is fixedly connected between multiple positioning blocks 43. The convex block 45 is located at the quarter point of the waterproof sleeve 41. The positioning block 43 is parallel to the axis of the adapter 2. The waterproof sleeve 41 includes an outer protective layer 411, an inner protective layer 412, and an elastic layer 413. The elastic layer 413 is sewn between the outer protective layer 411 and the inner protective layer 412. The edge of the outer protective layer 411 is fixedly connected to the adapter 2. Positioning nodes 414 are fixedly installed at the junctions of the elastic layer 413 with the outer protective layer 411 and the inner protective layer 412. A reinforcing rib 416 is fixedly connected between two laterally adjacent positioning nodes 414. A support rib 415 is fixedly connected between two longitudinally adjacent positioning nodes 414. The bushing 42 includes an adhesive layer 421, an installation layer 422, and a filling layer 423. The adhesive layer 421 is adhered to the inner wall of the adapter 2. The filling layer 423 is sewn between the adhesive layer 421 and the installation layer 422. A positioning groove 424 is formed inside the installation layer 422.

[0022] In this embodiment, during actual installation and use, the joint body 1 is first threadedly connected to the adapter 2, and a reinforcing ring 3 is installed at the junction to enhance the connection stability. The bushing 42 of the moisture perception mechanism 4 is firmly bonded to the inner wall of the adapter 2 through the adhesive layer 421. The cable is connected in the adapter 2. The joint body 1 is used to connect to other objects. The reinforcing rib 416 at the junction of the elastic layer 413, the outer protective layer 411, and the inner protective layer 412 can determine the position of the entire waterproof sleeve 41, so that the inner protective layer 412 fits on the surface of the cable, reducing the probability of water ingress. There are positioning nodes 414 between multiple reinforcing ribs 416, which can make the waterproof sleeve 41 openable, facilitating the deployment of the cable. The presence of the support rib 415 further enhances the structural stability. The adhesive layer 421 in the bushing 42 is bonded to the inner wall of the adapter 2, and the filling layer 423 is sewn between the adhesive layer 421 and the installation layer 422, which can fill the gap between the cable and the adapter 2. The positioning groove 424 in the installation layer 422 can be used to install relevant components. One end of the waterproof sleeve 41 is fixedly connected to the bushing 42, and the edge of its outer protective layer 411 is fixed to the adapter 2. The elastic layer 413 is sewn between the outer protective layer 411 and the inner protective layer 412. The convex block 45 is located at the quarter point of the waterproof sleeve 41, and its outer wall is rotatably connected to the positioning block 43. A collar 44 is fixedly connected between multiple positioning blocks 43. The collar 44 is made of rubber and is used to pull the positioning block 43. An alarm light 8 is provided between the reinforcing ring 3 and the adapter 2, which can send an alarm in time when the device detects abnormal moisture and other situations, reminding relevant personnel to handle it.

[0023] Embodiment 2: According to Figure 6 As shown, the present application relates to a data processing system for a multi-modal moisture perception and warning moisture-proof device for a cable joint. The system realizes the functions of comprehensive monitoring, analysis, and information interaction of the moisture in the cable joint through the coordinated work of multiple modules. Core functions of each module Sensor module: It consists of a capacitive humidity sensor 5, an optical fiber sensor 6, and a microwave sensor 7. The capacitive humidity sensor 5 is installed on the positioning block 43, specifically inside the waterproof sleeve 41, to continuously monitor the ambient humidity in real time. The microwave sensor 7 is built into the insulating layer of the adapter 2 to detect internal moisture. The optical fiber sensor 6 is laid along the axis of the adapter 2 to continuously monitor the moisture distribution along the line, thereby perceiving the external moisture information. Signal processing module: It amplifies, filters, and performs analog-to-digital conversion on the analog signals collected by the sensors, converts them into digital signals, and then preliminarily analyzes and extracts features from the digital signals to prepare for subsequent data processing. Data fusion and analysis module: Using data fusion algorithms including but not limited to D-S evidence theory, Kalman filter, neural network, etc., to fuse the preprocessed multi-modal data, comprehensively analyze the relationship between different sensor data, and then extract accurate moisture information; Communication and display module: The communication module is responsible for data transmission with the remote monitoring center to obtain the moisture detection data and status information of the cable joint; The display module uses a liquid crystal display or a touch screen to real-time display the moisture detection results, status evaluation information, and historical data curves of the cable joint; System working process Data acquisition: The capacitive humidity sensor 5, fiber optic sensor 6, and microwave sensor 7 in the sensor module work simultaneously to collect analog signals related to moisture from the external environment, along-line position, and internal structure of the cable joint respectively. These analog signals constitute the original data; Signal preprocessing: The analog signals collected by the sensor are transmitted to the signal processing module. This module sequentially performs amplification, filtering, and analog-to-digital conversion operations on the signals, and conducts preliminary analysis and feature extraction on the converted digital signals. The processed feature data will be transmitted to the next module; Data fusion and analysis: The data fusion and analysis module receives the multi-modal feature data output by the signal processing module, performs deep fusion using the selected data fusion algorithm, and then obtains more accurate moisture information through analysis to evaluate the moisture condition of the cable joint; Data transmission and display: The moisture detection results, status evaluation information, etc. generated by the data fusion and analysis module are transmitted to the communication and display module. The communication module sends the data to the remote monitoring center, and the display module presents the relevant information in an intuitive way for the convenience of the staff to view.

[0024] Example 3: According to Figure 6 and Figure 7 As shown, the sensor module is used to sense the external moisture information, integrating a capacitive humidity sensor, a microwave sensor, and a fiber optic sensor. The capacitive humidity sensor, based on the principle that water molecules change the dielectric constant and cause a change in capacitance value, real-time monitors the environmental humidity inside the outer protective layer of the cable joint, and can quickly capture the humidity fluctuations caused by water intrusion, providing preliminary clues for moisture detection; The microwave sensor adopts an embedded design and is embedded in the insulation layer of the cable joint. Using the characteristics of microwave reflection, refraction, and absorption when encountering water, it performs non-contact detection on the hidden moisture inside the cable joint, and can accurately obtain the content and distribution of internal moisture; The fiber optic sensor is laid along the axial direction of the cable joint. Based on the principle that the physical properties of the optical fiber affect the optical signal with the change of humidity or moisture, it realizes continuous monitoring of the moisture distribution along the cable joint, especially suitable for long-distance cable lines, and can timely detect moisture anomalies at different positions along the line; The signal processing module is used to pre-process the analog signals collected by the sensor. Since the original signals collected by the sensor are usually weak and susceptible to noise interference, the signal processing module first amplifies them to enhance the signal strength for subsequent processing, and then removes noise and clutter in the signal through filtering technology to improve the signal quality. Finally, the analog signal is converted into a digital signal for easy processing by the computer system. In addition, the module also performs preliminary analysis and feature extraction on the digital signal to extract key feature information related to moisture, laying the foundation for subsequent data fusion and analysis, and ensuring that the data input to the next link is accurate and effective; The data fusion and analysis module uses data fusion algorithms, such as DS evidence theory, Kalman filtering, neural networks, etc., to perform deep fusion processing on the multimodal data output by the signal processing module. These algorithms can comprehensively analyze the relationship between different sensor data, explore the potential information behind the data, integrate the moisture information from different sensors, eliminate the contradictions and redundancies between data, and extract more accurate and comprehensive moisture information. At the same time, through the established cable joint moisture status assessment model, the moisture status of the cable joint is evaluated and predicted in real time to determine whether there is a risk of moisture intrusion and the severity of the risk, providing a scientific basis for subsequent decision-making and early warning; The communication and display module is used for information exchange between the device and the outside world. The communication module supports multiple communication methods, including wireless communication Wi-Fi, Bluetooth, 4G / 5G, etc. and wired communication Ethernet, RS-485, etc. It can establish a stable data transmission channel with the remote monitoring center, and send the moisture detection data and status assessment information of the cable joint to the remote monitoring center in real time, so that the staff can remotely grasp the operating status of the cable joint and realize remote monitoring and management. The display module uses an LCD screen or a touch screen to display the moisture detection results, status assessment information and historical data curves of the cable joint in real time in an intuitive and easy-to-understand manner, so that on-site staff can quickly understand the current status and historical change trends of the cable joint without the help of other equipment, so as to find problems in time and take corresponding measures.

[0025] 1. Data Collection Phase The capacitive humidity sensor, microwave sensor and optical fiber sensor in the sensor module work simultaneously, respectively collecting analog signals related to moisture from the external environment, internal structure and position along the cable joint. For example, when moisture penetrates into the outside of the cable joint, the capacitive humidity sensor will first sense the change in environmental humidity and convert it into an analog electrical signal; if there is moisture inside, the microwave sensor will capture the change in microwave signal and output the corresponding analog signal; the optical fiber sensor continuously monitors the moisture distribution along the line and converts the change in optical signal into an analog electrical signal. These analog signals constitute the original data source for the device to detect moisture. 2. Signal Processing Stage After the analog signal output by the sensor module is transmitted to the signal processing module, the signal processing module immediately performs amplification, filtering, and analog-to-digital conversion operations on it. The amplification operation enhances the weak analog signal to an appropriate amplitude for subsequent processing; the filtering process effectively removes noise and interference in the signal, improving the signal purity; the analog-to-digital conversion converts the analog signal into a digital signal that can be recognized and processed by a computer. Subsequently, the signal processing module conducts preliminary analysis and feature extraction on the digital signal, screening out feature data closely related to moisture detection, such as the humidity change rate, the attenuation degree of the microwave signal, the phase offset of the optical signal, etc., and transmits the processed feature data to the data fusion and analysis module; III. Data Fusion and Analysis Stage After receiving the multi-modal feature data from the signal processing module, the data fusion and analysis module performs deep fusion using the selected data fusion algorithm. Taking the D-S evidence theory as an example, this algorithm combines multiple evidences by calculating the credibility distribution of different sensor data to obtain a more reliable moisture detection result; or uses the neural network algorithm to learn the mapping relationship between multi-modal data and the moisture state through training the model to achieve accurate assessment of the moisture condition. The fused data is then input into the cable joint moisture state assessment model. The model, according to the preset rules and algorithms, conducts real-time assessment and prediction of the moisture condition of the cable joint, judges whether there is a risk of moisture intrusion and the risk level, and generates corresponding assessment reports and warning messages; IV. Data Transmission and Display Stage The moisture detection results, status assessment information, and warning messages generated by the data fusion and analysis module are transmitted to the communication and display module. The communication module packages these information according to the pre-set communication protocol and sends them to the remote monitoring center through wireless or wired communication methods, enabling remote staff to obtain the operating status of the cable joint in a timely manner for corresponding decision-making. At the same time, the display module presents the received information in an intuitive interface, such as presenting the moisture detection value, risk level indicator, and historical data change curve in the form of numbers and charts on the liquid crystal display, facilitating on-site staff to quickly understand the moisture condition of the cable joint. If a warning message appears, on-site personnel can immediately take measures for processing.

[0026] Example 4: The D-S evidence theory is a data fusion method based on evidence reasoning. It deals with uncertainties by assigning degrees of belief to evidence. In the moisture detection of cable joints, each sensor is regarded as an evidence body. First, according to the historical data, accuracy indicators, and performance in different environments of the sensors, a basic probability assignment (BPA) is assigned to the data collected by each sensor, indicating the degree of support of the sensor data for different moisture states such as dry, slightly damp, severely damp, etc. For example, a capacitive humidity sensor is relatively accurate in detecting changes in environmental humidity, and a higher BPA can be given to its judgment of moisture states related to environmental humidity;Microwave sensors have a strong ability to detect internal moisture. When judging the internal moisture condition, the Basic Probability Assignment (BPA) is relatively high. Then, using the D-S combination rule, the BPAs of multiple sensors are combined. This rule redistributes the credibility of different evidences by calculating the degree of conflict between evidences, thereby obtaining the combined credibility assignment result. When multiple sensors support a certain moisture state, the combined credibility will increase significantly. If there are conflicting evidences, a more reasonable judgment of the moisture state is obtained through comprehensive consideration according to the combination rule, so as to achieve a more reliable assessment of the moisture condition of cable joints. Kalman filtering is a recursive estimation algorithm used to process data in dynamic systems and is suitable for dealing with the situation where sensor data changes over time. In the scenario of cable joint moisture detection, the measurement value of each sensor is regarded as an observation of the moisture state of the cable joint. First, based on the physical model of the moisture change of the cable joint, a state equation and an observation equation are established to describe the change law of the moisture state over time and the relationship between the sensor measurement value and the actual moisture state. In each data fusion, Kalman filtering first predicts the moisture state at the current moment according to the state estimate value at the previous moment and the state transition equation. Then, the measurement values of each sensor at the current moment are compared with the predicted value, and the measurement error is calculated. The predicted value is adjusted through the Kalman gain to make it closer to the actual measurement value, so as to obtain a more accurate moisture state estimate value at the current moment. As time goes by, the estimation of the moisture state is continuously optimized to achieve dynamic and accurate monitoring of the moisture condition of cable joints. Neural networks have powerful non-linear mapping and learning abilities and can be used for multi-modal data fusion. First, a suitable neural network structure, such as a Multi-Layer Perceptron (MLP) or a Convolutional Neural Network (CNN), is constructed. The preprocessed multi-modal data is used as the input of the neural network. The data can be sensor measurement values, extracted feature values, etc. For example, the capacitance change value of a capacitive humidity sensor, the signal parameter change value of a microwave sensor, and the optical signal feature value of an optical fiber sensor are input into the neural network together. Then, the neural network is trained using a large number of sample data with known moisture states of cable joints. During the training process, the neural network learns the complex mapping relationship between multi-modal data and the moisture state of cable joints by adjusting the internal weights and thresholds. After training, when new multi-modal data is input, the neural network can quickly output the combined moisture state assessment result. The neural network can automatically learn the potential rules and features in the data, efficiently fuse complex multi-modal data, and improve the accuracy and adaptability of moisture detection. In practical applications, according to the specific requirements and data characteristics of cable joints, a single algorithm or a combination of multiple algorithms can be selected for data fusion processing. For example, Kalman filtering is first used to preliminarily process time series data, then the neural network is used to further mine data features, and finally the D-S evidence theory is used to comprehensively judge the results of different algorithms to achieve a more accurate assessment effect of the moisture condition of cable joints.;

[0027] Usage method and working principle of this device: The cable is connected in the adapter 2. The joint body 1 is used to connect to other objects. The waterproof sleeve 41 fits on the surface of the cable. The adhesive layer 421 in the bushing 42 is bonded to the inner wall of the adapter 2 to fill the gap between the cable and the adapter 2. The capacitive humidity sensor 5 is installed on the positioning block 43, specifically inside the waterproof sleeve 41, to continuously monitor the ambient humidity. The microwave sensor is built into the insulating layer of the adapter 2 to detect internal moisture. The optical fiber sensor 6 is laid along the axis of the adapter 2 to continuously monitor the moisture distribution along the line, thereby sensing the external moisture information. The signal processing module preprocesses the analog signals collected by the sensors. First, it amplifies the signals, then uses filtering technology to remove the noise and clutter in the signals, and finally converts the analog signals into digital signals for easy processing by the computer system. The data fusion and analysis module uses data fusion algorithms to perform in-depth fusion processing on the multi-modal data output by the signal processing module.

[0028] Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A multimodal moisture sensing and warning moisture-proof device for cable joints, comprising a joint body (1), characterized in that: One end of the joint body (1) is threadedly connected with an adapter (2). A reinforcing ring (3) is threadedly installed at the junction of the joint body (1) and the adapter (2). A moisture-proof sensing mechanism (4) is fixedly installed at the end of the adapter (2). The moisture-proof sensing mechanism (4) includes a waterproof sleeve (41) and a bushing (42). One end of the waterproof sleeve (41) is fixedly connected to one end of the bushing (42). The bushing (42) is fixedly installed on the inner wall of the adapter (2). The diameter of the waterproof sleeve (41) is equal to the diameter of the adapter (2). A convex block (45) is fixedly installed at the junction of the waterproof sleeve (41) and the bushing (42). A positioning block (43) is rotatably connected to the outer wall of the convex block (45). An alarm lamp (8) is arranged between the reinforcing ring (3) and the adapter (2). A data processing system is also used, which is used to process the sensing data of the moisture-proof sensing mechanism (4) and transmit detection information.

2. The multimodal moisture sensing and warning moisture-proof device for cable joints according to claim 1, characterized in that: A collar (44) is fixedly connected between multiple positioning blocks (43). The convex block (45) is located at the quarter point of the waterproof sleeve (41). The positioning block (43) is parallel to the axis of the adapter (2).

3. The multimodal moisture sensing and warning moisture-proof device for cable joints according to claim 1, characterized in that: The waterproof sleeve (41) includes an outer protective layer (411), an inner protective layer (412) and an elastic layer (413). The elastic layer (413) is sewn between the outer protective layer (411) and the inner protective layer (412). The edge of the outer protective layer (411) is fixedly connected to the adapter (2).

4. The multimodal moisture sensing and warning moisture-proof device for cable joints according to claim 2, characterized in that: Positioning nodes (414) are fixedly installed at the junctions of the elastic layer (413) with the outer protective layer (411) and the inner protective layer (412). A reinforcing rib (416) is fixedly connected between two laterally adjacent positioning nodes (414). A support rib (415) is fixedly connected between two longitudinally adjacent positioning nodes (414).

5. The multimodal moisture sensing and warning moisture-proof device for cable joints according to claim 4, characterized in that: The bushing (42) includes an adhesive layer (421), an installation layer (422) and a filling layer (423). The adhesive layer (421) is adhered to the inner wall of the adapter (2). The filling layer (423) is sewn between the adhesive layer (421) and the installation layer (422). A positioning groove (424) is formed inside the installation layer (422).

6. The multimodal moisture sensing and early warning moisture-proof device for cable joints according to claim 1, wherein: The data processing system includes a sensor module, a signal processing module, a data fusion and analysis module, and a communication and display module. The sensor module is used to sense external moisture information. The signal processing module is used to preprocess the analog signals collected by the sensor. The data fusion and analysis module uses data fusion algorithms to perform in-depth fusion processing on the multi-modal data output by the signal processing module. The communication and display module is used for the device to interact with the outside world for information.

7. The multimodal moisture sensing and warning moisture-proof device for a cable joint according to claim 1, characterized in that: The sensor module includes a capacitive humidity sensor (5), an optical fiber sensor (6), and a microwave sensor (7). The capacitive humidity sensor (5) is installed on one side of the positioning block (43), specifically inside the waterproof sleeve (41), and is used to monitor the humidity of the environment around the connector (2) in real time. The optical fiber sensor (6) is laid along the axis of the connector (2), specifically inside the positioning groove (424), and is used for continuous monitoring of the moisture distribution along the connector (2). The microwave sensor (7) adopts an embedded design and is embedded in the insulating layer of the connector (2) to detect moisture inside the connector (2).

8. The multimodal moisture sensing and warning moisture-proof device for a cable joint according to claim 3, wherein: The signal processing module is used to amplify the analog signals collected by the sensors, and perform filtering, analog-to-digital conversion processing, convert them into digital signals, and conduct preliminary analysis and feature extraction on the digital signals.

9. The multimodal moisture sensing and warning moisture-proof device for cable joints according to claim 8, characterized in that: The data fusion and analysis module adopts data fusion algorithms, including but not limited to D-S evidence theory, Kalman filtering, neural networks, to perform fusion processing on the preprocessed multi-modal data, comprehensively analyze the relationships between different sensor data, and extract moisture information.

10. A multimodal moisture sensing and warning moisture-proof device for a cable joint according to claim 8, characterized in that: The communication module in the communication and display module is used for data transmission with the remote monitoring center to obtain the moisture detection data and status information of the cable joint. The display module uses a liquid crystal display screen or a touch screen to display the moisture detection results, status evaluation information, and historical data curves of the cable joint in real time.

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