A cable joint multi-modal moisture sensing warning and moisture-proof device

Abstract

The present invention discloses a multimodal moisture sensing, warning and moisture-proof device for a cable joint, which relates to the field of moisture sensing and warning, and includes a joint body, one end of which is threadedly connected to a connector, a reinforcing ring threadedly installed at the junction of the joint body and the connector, and a moisture-proof sensing mechanism fixedly installed at the end of the connector, the moisture-proof sensing mechanism including a waterproof sleeve and a bushing, one end of the waterproof sleeve being fixedly connected to one end of the bushing. The present invention forms a multimodal sensing system by using a plurality of different types of sensors to obtain information of a target object from different angles, and integrates and analyzes this information through data fusion technology, thereby more comprehensively and accurately describing the state of the target object. In the moisture detection of cable joints, different detection technologies have different response characteristics to moisture, and multimodal sensing can make up for the limitations of a single detection technology and improve the accuracy and reliability of detection.

Description

Technical Field

[0001] The present invention relates to the technical field of moisture sensing and early warning, and in particular to a multi-modal moisture sensing and early warning moisture-proof device for a cable joint. Background Art

[0002] The cable joint moisture sensing and warning device is a device used to monitor the moisture conditions at the cable joint in real time and issue a warning in time when there is a risk of moisture intrusion.

[0003] However, in the existing technology, the early warning device usually only uses one type of sensor. A single type of sensor can only obtain moisture information in a certain aspect. For example, using only a capacitive humidity sensor can only monitor the ambient humidity inside the outer protective layer of the cable joint. It is impossible to know the content and distribution of hidden moisture inside the cable joint, and it is difficult 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. It is difficult to fully evaluate the moisture status of the cable joint based on only a single piece of information. Summary of the Invention

[0004] The purpose of the present invention is to provide a multi-modal moisture sensing, warning and moisture-proof device for cable joints to solve the problem raised in the above background technology that a single type of sensor can only obtain moisture information in a certain aspect, which may cause some potential moisture problems to not be discovered in time, because moisture in different positions and forms may have different effects on cable joints, and it is difficult to comprehensively evaluate the moisture status of cable joints relying solely on single information.

[0005] To achieve the above-mentioned objectives, the present invention provides the following technical solutions: a multimodal moisture sensing, warning and moisture-proof device for a cable connector, comprising a connector body, one end of the connector body being threadedly connected to a connector, a reinforcement ring being threadedly installed at the junction of the connector body and the connector, a moisture-proof sensing mechanism being fixedly installed at the end of the connector, the moisture-proof sensing mechanism comprising a waterproof sleeve and a bushing, one end of the waterproof sleeve being fixedly connected to one end of the bushing, the bushing being fixedly installed on the inner wall of the connector, the diameter of the waterproof sleeve being equal to the diameter of the connector, a protrusion being fixedly installed at the junction of the waterproof sleeve and the bushing, a positioning block being rotatably connected to the outer wall of the protrusion, an alarm light being arranged between the reinforcement ring and the connector, and a data processing system being used to process the sensing data of the moisture-proof sensing mechanism and transmit detection information.

[0006] Preferably, a collar is fixedly connected between the plurality of positioning blocks, the protrusions are located at the quartering points of the waterproof sleeve, and the positioning blocks are parallel to the axis of the connector.

[0007] Preferably, the waterproof cover comprises 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 connector.

[0008] Preferably, positioning nodes are fixedly installed at the intersections of the elastic layer, the outer protective layer and the inner protective layer, reinforcing ribs are fixedly connected between two laterally adjacent positioning nodes, and supporting ribs are fixedly connected between two longitudinally adjacent positioning nodes.

[0009] Preferably, the bushing includes an adhesive layer, a mounting layer and a filling layer. The adhesive layer is bonded to the inner wall of the connector. The filling layer is sewn between the adhesive layer and the mounting layer. A positioning groove is provided inside the mounting 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 pre-process the analog signal collected by the sensor, the data fusion and analysis module uses a data fusion algorithm to perform deep fusion processing on the multimodal data output by the signal processing module, and the communication and display module is used for the device to interact with the outside world.

[0011] Preferably, the sensor module includes a capacitive humidity sensor, a fiber optic sensor and a microwave sensor. The capacitive humidity sensor is installed on one side of the positioning block, specifically on the inner side of the waterproof cover, and is used to monitor the humidity of the environment around the connector in real time. The fiber optic sensor is laid along the axis of the connector, specifically on the inner side of the positioning groove, and is used to continuously monitor the moisture distribution along the connector. The microwave sensor adopts a built-in design, embedded in the insulation layer of the connector, and performs moisture detection inside the connector.

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

[0013] Preferably, the data fusion and analysis module adopts a data fusion algorithm, including but not limited to DS evidence theory, Kalman filtering, and neural network, to fuse the preprocessed multimodal data, comprehensively analyze the relationship between different sensor data, and extract moisture information.

[0014] Preferably, the communication module in the communication and display module is used to transmit data 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 display the moisture detection results, status assessment information and historical data curves of the cable joint in real time.

[0015] Compared with the prior art, the present invention has the following beneficial effects:

[0016] 1. In the present invention, a multimodal sensing system is composed of multiple different types of sensors to obtain information about the target object from different angles. This information is integrated and analyzed through data fusion technology, thereby describing the state of the target object more comprehensively and accurately. In the moisture detection of cable joints, different detection technologies have different response characteristics to moisture. Multimodal sensing can make up for the limitations of a single detection technology and improve the accuracy and reliability of detection.

[0017] 2. In the present invention, the system integrates three types of sensors: capacitive, microwave, and optical fiber. It collects data from multiple dimensions, including the external environment, internal structure, and distribution along the line. It combines deep fusion analysis with algorithms such as DS evidence theory and neural networks to eliminate the limitations of a single sensor, effectively avoid missed detections and false judgments, and accurately capture moisture anomalies in cable joints, providing a reliable basis for moisture-proof protection.

[0018] 3. In the present invention, the communication module supports multiple communication modes and transmits data to the remote monitoring center in real time, making it convenient for managers to remotely control the status of cable joints; the display module presents the test results and historical data in an intuitive interface, so that 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 cable joint moisture monitoring and emergency treatment. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 This is a structural schematic diagram of a multi-modal moisture sensing, early warning and moisture-proof device for cable connectors according to the present invention;

[0020] Figure 2 This is a schematic planar structural diagram of a multi-modal moisture sensing, early warning, and moisture-proof device for a cable connector according to the present invention;

[0021] Figure 3 This is a schematic diagram of the internal structure of a multi-modal moisture sensing, early warning and moisture-proof device for cable connectors according to the present invention;

[0022] Figure 4 This is a schematic diagram of the waterproof cover structure of a cable connector multi-modal moisture sensing and early warning moisture-proof device of the present invention;

[0023] Figure 5 This is a schematic diagram of the bushing structure of a multi-modal moisture sensing, early warning and moisture-proof device for a cable connector according to the present invention;

[0024] Figure 6 This is a schematic diagram of each module of a multi-modal moisture sensing, early warning and moisture-proof device for cable connectors according to the present invention;

[0025] Figure 7 This is a system flow diagram of a multi-modal moisture sensing, early warning and moisture-proof device for cable connectors of the present invention.

[0026] In the figure: 1. Connector body; 2. Connector; 3. Reinforcement ring; 4. Moisture-proof sensing mechanism; 5. Capacitive humidity sensor; 6. Fiber optic sensor; 7. Microwave sensor; 8. Alarm light; 41. Waterproof cover; 42. Bushing; 43. Positioning block; 44. Ring; 45. Bump; 411. Outer protective layer; 412. Inner protective layer; 413. Elastic layer; 414. Positioning node; 415. Support rib; 416. Reinforcement rib; 421. Adhesive layer; 422. Installation layer; 423. Filling layer; 424. Positioning groove. DETAILED DESCRIPTION

[0027] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the implementation regulations described are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0028] Example 1: Reference Figure 1 、 Figure 2 、 Figure 3 、 Figure 4 and Figure 5As shown: a cable connector multi-modal moisture sensing warning moisture-proof device, including a connector body 1, one end of the connector body 1 is threadedly connected to a connector 2, a reinforcement ring 3 is threadedly installed at the junction of the connector body 1 and the connector 2, and a moisture-proof sensing mechanism 4 is fixedly installed at the end of the connector 2, and 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, and the bushing 42 is fixedly installed on the inner side wall of the connector 2, the diameter of the waterproof sleeve 41 is equal to the diameter of the connector 2, and a protrusion 45 is fixedly installed at the junction of the waterproof sleeve 41 and the bushing 42, and a positioning block 43 is rotatably connected to the outer wall of the protrusion 45, an alarm light 8 is provided between the reinforcement ring 3 and the connector 2, and a plurality of positioning blocks 43 are fixedly connected with a collar 44, and the protrusion 45 is located at the four-division point of the waterproof sleeve 41, and the positioning block 4 3 is parallel to the axis of the connector 2. The waterproof cover 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 connector 2. Positioning nodes 414 are fixedly installed at the intersection of the elastic layer 413, 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 supporting 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 bonded to the inner wall of the connector 2. The filling layer 423 is sewn between the adhesive layer 421 and the installation layer 422. A positioning groove 424 is opened inside the installation layer 422.

[0029] In this embodiment, when actually installed and used, the connector body 1 is first connected to the connector 2 through threads, and a reinforcement ring 3 is installed at the intersection to enhance the connection stability. The sleeve 42 of the moisture-proof sensing mechanism 4 is firmly bonded to the inner wall of the connector 2 through the adhesive layer 421. The cable is connected to the connector 2, and the connector body 1 is used to connect other objects. The reinforcing ribs 416 at the intersection 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 chance of water ingress. Positioning nodes 414 are provided between the multiple reinforcing ribs 416, so that the waterproof sleeve 41 can be turned over to facilitate the deployment of the cable. The presence of the support ribs 415 further enhances the structural stability. The adhesive layer 4 in the sleeve 42 21 is bonded to the inner wall of the connector 2, and the filling layer 423 is sewn between the adhesive layer 421 and the installation layer 422 to fill the gap between the cable and the connector 2. The positioning groove 424 in the installation layer 422 can be used to install related 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 connector 2. The elastic layer 413 is sewn between the outer protective layer 411 and the inner protective layer 412. The protrusion 45 is located at the quarter point of the waterproof sleeve 41, and its outer wall is rotatably connected to the positioning block 43. Multiple positioning blocks 43 are fixedly connected with a ring 44. The ring 44 is made of rubber and is used to pull the positioning block 43. An alarm light 8 is set between the reinforcement ring 3 and the connector 2. When the device detects abnormal moisture and other conditions, it can issue an alarm in time to remind relevant personnel to deal with it.

[0030] Example 2: According to Figure 6 As shown, the present application relates to a data processing system for a cable joint multi-modal moisture sensing and early warning moisture-proof device. The system realizes comprehensive monitoring, analysis and information exchange functions of cable joint moisture through the collaborative work of multiple modules.

[0031] Core functions of each module

[0032] 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 mounted on the positioning block 43, specifically on the inner side of the waterproof cover 41, to monitor the ambient humidity in real time. The microwave sensor 7 is built into the insulating layer of the connector 2 to detect internal moisture. The optical fiber sensor 6 is laid along the axis of the connector 2 to continuously monitor the moisture distribution along the line, thereby sensing external moisture information.

[0033] Signal processing module: amplifies, filters, and performs analog-to-digital conversion on the analog signals collected by the sensor, converting them into digital signals. It then performs preliminary analysis and feature extraction on the digital signals to prepare for subsequent data processing;

[0034] Data fusion and analysis module: This module uses data fusion algorithms, including but not limited to DS evidence theory, Kalman filtering, and neural networks, to fuse pre-processed multimodal data, comprehensively analyze the relationship between different sensor data, and extract accurate moisture information.

[0035] 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 joints; the display module uses an LCD or touch screen to display the moisture detection results, status assessment information and historical data curves of the cable joints in real time;

[0036] System workflow

[0037] Data acquisition: The capacitive humidity sensor 5, optical fiber sensor 6, and microwave sensor 7 in the sensor module work simultaneously to collect analog signals related to moisture from the external environment of the cable joint, the position along the cable, and the internal structure. These analog signals constitute the raw data;

[0038] Signal preprocessing: The analog signal collected by the sensor is transmitted to the signal processing module, which amplifies, filters, and performs analog-to-digital conversion on the signal in sequence. It also performs preliminary analysis and feature extraction on the converted digital signal. The processed feature data will be transmitted to the next module;

[0039] Data fusion and analysis: The data fusion and analysis module receives the multimodal 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 status of the cable joint;

[0040] Data transmission and display: The moisture detection results and status assessment information 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 manner for easy viewing by staff.

[0041] Example 3: According to Figure 6 and Figure 7As shown, the sensor module is used to sense external moisture information and integrates a capacitive humidity sensor, a microwave sensor, and a fiber optic sensor. The capacitive humidity sensor uses the principle that water molecules change the dielectric constant and cause changes in capacitance to monitor the ambient humidity inside the outer protective layer of the cable connector in real time. It can quickly capture humidity fluctuations caused by moisture intrusion and provide preliminary clues for moisture detection. The microwave sensor adopts a built-in design and is embedded in the insulation layer of the cable connector. It uses the characteristics of microwave reflection, refraction, and absorption when it comes into contact with water to perform non-contact detection of hidden moisture inside the cable connector, and can accurately obtain the internal moisture content and distribution. The fiber optic sensor is laid along the axial direction of the cable connector. Based on the principle that the physical properties of the optical fiber affect the optical signal with changes in humidity or moisture, it can realize continuous monitoring of the moisture distribution along the cable connector. It is particularly suitable for long-distance cable lines and can promptly detect moisture anomalies at different locations along the line.

[0042] 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 easily interfered by noise, the signal processing module first amplifies them to enhance the signal strength for subsequent processing. Then, through filtering technology, it removes noise and clutter in the signal to improve the signal quality. Finally, the analog signal is converted into a digital signal for easy processing by the computer system. In addition, this 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;

[0043] The data fusion and analysis module uses data fusion algorithms, such as DS evidence theory, Kalman filtering, and neural networks, to perform in-depth 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 moisture information from different sensors, eliminate 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.

[0044] 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 such as Wi-Fi, Bluetooth, 4G / 5G, and wired communication such as Ethernet and RS-485. 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, making it convenient for staff to remotely understand the operating status of the cable joint and realize remote monitoring and management. The display module uses an LCD or 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. This allows on-site staff to quickly understand the current status and historical change trends of the cable joint without the help of other equipment, making it easier to detect problems and take corresponding measures in a timely manner.

[0045] 1. Data Collection Phase

[0046] The capacitive humidity sensor, microwave sensor, and fiber optic sensor in the sensor module work simultaneously, collecting analog signals related to moisture from the external environment, internal structure, and location along the cable connector. For example, when moisture seeps into the cable connector, the capacitive humidity sensor will first sense the change in ambient humidity and convert it into an analog electrical signal. If moisture is present inside, the microwave sensor will capture the change in microwave signal and output a corresponding analog signal. The fiber optic sensor continuously monitors the moisture distribution along the cable and converts the change in optical signal into an analog electrical signal. These analog signals constitute the raw data source for the device to detect moisture.

[0047] 2. Signal processing stage

[0048] After the analog signal output by the sensor module is transmitted to the signal processing module, the signal processing module immediately amplifies, filters, and performs 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 the computer. Subsequently, the signal processing module performs preliminary analysis and feature extraction on the digital signal, screening out feature data closely related to moisture detection, such as humidity change rate, microwave signal attenuation degree, optical signal phase offset, etc., and transmits the processed feature data to the data fusion and analysis module;

[0049] 3. Data Fusion and Analysis Stage

[0050] After receiving the multimodal feature data from the signal processing module, the data fusion and analysis module uses the selected data fusion algorithm for deep fusion. Taking the DS evidence theory as an example, this algorithm calculates the credibility distribution of different sensor data and combines multiple evidences to obtain more reliable moisture detection results. Alternatively, it uses a neural network algorithm to learn the mapping relationship between multimodal data and moisture status through training models to achieve accurate assessment of moisture status. The fused data is then input into the cable joint moisture status assessment model. Based on preset rules and algorithms, the model conducts real-time assessment and prediction of the moisture status of the cable joint, determines whether there is a risk of moisture intrusion and the risk level, and generates corresponding assessment reports and warning information.

[0051] 4. Data transmission and display stage

[0052] The moisture detection results, status assessment information and warning information generated by the data fusion and analysis module are transmitted to the communication and display module. The communication module packages this information according to the pre-set communication protocol and sends it to the remote monitoring center via wireless or wired communication, so that remote staff can obtain the operating status of the cable joint in a timely manner to make corresponding decisions. At the same time, the display module displays the received information in an intuitive interface, such as presenting moisture detection values, risk level identification and historical data change curves in the form of numbers and charts on the LCD screen, so that on-site staff can quickly understand the moisture status of the cable joint. If a warning message appears, on-site personnel can immediately take measures to deal with it.

[0053] Example 4: DS evidence theory is a data fusion method based on evidence reasoning. It handles uncertainty by assigning credibility to evidence. In cable joint moisture detection, each sensor is considered as a body of evidence. First, based on the sensor's historical data, accuracy indicators, and performance in different environments, a basic credibility allocation (BPA) is assigned to the data collected by each sensor. This indicates the degree to which the sensor data supports different moisture states, such as dry, slightly damp, and severely damp. For example, a capacitive humidity sensor is more accurate in detecting changes in ambient humidity and can be assigned a higher BPA for reflecting moisture state judgments related to ambient humidity.Microwave sensors have strong internal moisture detection capabilities and have a high BPA when judging internal moisture conditions. Then, the BPAs of multiple sensors are combined using the DS synthesis rule. This rule redistributes the credibility of different evidence by calculating the degree of conflict between the evidence, thereby obtaining the credibility distribution result after fusion. When multiple sensors all support a certain moisture state, the credibility after fusion will be significantly improved. If there is conflicting evidence, a more reasonable moisture state judgment is obtained based on the comprehensive balance according to the synthesis rule, thereby achieving a more reliable assessment of the moisture state of the cable joint. Kalman filtering is a recursive estimation algorithm for processing data in dynamic systems. It is suitable for processing situations where sensor data changes over time. In the case of cable joint moisture In the detection scenario, 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, the state equation and 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. At each data fusion, the Kalman filter first predicts the moisture state at the current moment based on the state estimation value and state transfer equation at the previous moment. Then, the measurement value of each sensor at the current moment is compared with the predicted value, the measurement error is calculated, and the predicted value is adjusted by the Kalman gain to make it closer to the actual measurement value, thereby obtaining a more accurate moisture state estimate at the current moment. As time goes by, the moisture state estimate is continuously optimized to achieve Dynamic and accurate monitoring of the moisture status of cable joints. Neural networks have powerful nonlinear mapping and learning capabilities and can be used for multimodal data fusion. First, a suitable neural network structure is constructed, such as a multilayer perceptron (MLP) or a convolutional neural network (CNN). The preprocessed multimodal data is used as the input of the neural network. The data can be sensor measurements, extracted feature values, etc. For example, the capacitance change value of the capacitive humidity sensor, the signal parameter change value of the microwave sensor, and the optical signal feature value of the optical fiber sensor are input into the neural network together. Then, a large amount of sample data of the known moisture status of the cable joints is used to train the neural network. During the training process, the neural network learns the relationship between multimodal data and cable joints by adjusting the internal weights and thresholds. After training, the neural network can quickly output the fused moisture status assessment results when new multimodal data is input. The neural network can automatically learn the underlying patterns and features in the data, efficiently fuse complex multimodal data, and improve the accuracy and adaptability of moisture detection. In practical applications, a single algorithm or a combination of multiple algorithms can be selected for data fusion processing based on the specific needs and data characteristics of the cable joints. For example, a Kalman filter can be used to perform preliminary processing on time series data, and then a neural network can be used to further explore data features. Finally, the results of different algorithms can be comprehensively judged through the DS evidence theory to achieve a more accurate cable joint moisture status assessment effect.

[0054] The usage and working principle of this device are as follows: the cable is connected in the connector 2, the connector body 1 is used to connect other objects, the waterproof sleeve 41 is attached to the surface of the cable, the adhesive layer 421 in the sleeve 42 is bonded to the inner wall of the connector 2, filling the gap between the cable and the connector 2, the capacitive humidity sensor 5 is installed on the positioning block 43, specifically on the inner side of the waterproof sleeve 41, to monitor the ambient humidity in real time, the microwave sensor is built into the insulating layer of the connector 2 to detect internal moisture, the optical fiber sensor 6 is laid along the axis of the connector 2, and continuously monitors the moisture distribution along the line to perceive external moisture information, the signal processing module pre-processes the analog signal collected by the sensor, first amplifies it, and then uses filtering technology to remove noise and clutter in the signal, and finally converts the analog signal into a digital signal to facilitate processing by the computer system, and the data fusion and analysis module uses data fusion algorithm to perform deep fusion processing on the multimodal data output by the signal processing module.

[0055] Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments, or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A cable connector multi-modal moisture sensing warning and moisture-proof device, comprising a connector body (1), characterized in that: One end of the connector body (1) is threadedly connected to a connector (2), a reinforcing ring (3) is threadedly installed at the intersection of the connector body (1) and the connector (2), a moisture-proof sensing mechanism (4) is fixedly installed at the end of the connector (2), and 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 side wall of the connector (2), the diameter of the waterproof sleeve (41) is equal to the diameter of the connector (2), a protrusion (45) is fixedly installed at the intersection of the waterproof sleeve (41) and the bushing (42), a positioning block (43) is rotatably connected to the outer wall of the protrusion (45), an alarm light (8) is provided between the reinforcing ring (3) and the connector (2), and a data processing system is also used, which is used to process the sensing data of the moisture-proof sensing mechanism (4) and transmit the detection information; The waterproof cover (41) comprises 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); and the edge of the outer protective layer (411) is fixedly connected to the connector (2); Positioning nodes (414) are fixedly installed at the intersections of the elastic layer (413), the outer protective layer (411), and the inner protective layer (412); reinforcing ribs (416) are fixedly connected between two laterally adjacent positioning nodes (414); and supporting ribs (415) are fixedly connected between two longitudinally adjacent positioning nodes (414).

2. The cable connector multi-modal moisture sensing, warning and moisture-proof device according to claim 1, characterized in that: A collar (44) is fixedly connected between the plurality of positioning blocks (43), the protrusions (45) are located at the quartering points of the waterproof sleeve (41), and the positioning blocks (43) are parallel to the axis of the connector (2).

3. The cable connector multi-modal moisture sensing, warning and moisture-proof device according to claim 1, characterized in that: The bushing (42) comprises an adhesive layer (421), a mounting layer (422) and a filling layer (423), wherein the adhesive layer (421) is bonded to the inner wall of the connector (2), the filling layer (423) is sewn between the adhesive layer (421) and the mounting layer (422), and a positioning groove (424) is provided inside the mounting layer (422).

4. The cable connector multi-modal moisture sensing, warning and moisture-proof device according to claim 1, characterized in that: 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 pre-process the analog signals collected by the sensor, the data fusion and analysis module uses a data fusion algorithm to perform deep fusion processing on the multimodal data output by the signal processing module, and the communication and display module is used for information exchange between the device and the outside world.

5. The cable connector multi-modal moisture sensing, warning and moisture-proof device according to claim 4, 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) and is located inside the waterproof cover (41) for real-time monitoring of the humidity of the surrounding environment of the connector (2). The optical fiber sensor (6) is laid along the axis of the connector (2) and is located inside the positioning groove (424) for continuous monitoring of the moisture distribution along the connector (2). The microwave sensor (7) adopts a built-in design and is embedded in the insulation layer of the connector (2) to detect moisture inside the connector (2).

6. The cable connector multi-modal moisture sensing, warning and moisture-proof device according to claim 5, characterized in that: The signal processing module is used to amplify the analog signal collected by the sensor, and perform filtering and analog-to-digital conversion to convert it into a digital signal, and perform preliminary analysis and feature extraction on the digital signal.

7. The cable connector multi-modal moisture sensing, warning and moisture-proof device according to claim 6, characterized in that: The data fusion and analysis module uses data fusion algorithms, including DS evidence theory, Kalman filtering, and neural networks, to fuse the pre-processed multimodal data, comprehensively analyze the relationship between different sensor data, and extract moisture information.

8. The cable connector multi-modal moisture sensing, warning and moisture-proof device according to claim 6, characterized in that: The communication module in the communication and display module is used to transmit data with the remote monitoring center to obtain the moisture detection data and status information of the cable joint. The display module uses an LCD or touch screen to display the moisture detection results, status assessment information and historical data curves of the cable joint in real time.

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