Signal forming end cable on-line monitoring system based on multi-source data fusion

Abstract

The invention discloses a signal forming end cable online monitoring system based on multi-source data fusion, and relates to the technical field of rail transit, environmental data of a to-be-detected cable and strain data generated by an optical fiber wound on the to-be-detected cable are acquired in real time through a multi-source data acquisition module, the displacement of the cable can be judged, and the monitoring accuracy of the cable is improved. The method can analyze the electromagnetic field generated between the cable and the surrounding cable, can timely find and deal with the potential safety threat caused by the electromagnetic interference of the adjacent cable, gets rid of the technical blind spot existing in the process of monitoring the displacement only in the traditional technology, provides an innovative solution for the electromagnetic safety in the high-density cable laying scene, and improves the safety of the cable. And the data precision during cable transmission is improved, so that the safe operation of a train is ensured.

Description

Technical Field

[0001] The invention belongs to the technical field of rail transportation, and in particular relates to an online monitoring system for signal-terminated cables based on multi-source data fusion. Background Art

[0002] Signal terminated cable is a cable used to transmit signals. It is usually used to connect various electronic devices and systems to ensure stable signal transmission. Its main function is to transmit signals from one device to another. It is commonly used in communication, control and monitoring systems. In the field of rail transit, signal terminated cables are generally used for long-distance signal transmission between trains and monitoring equipment and control centers. The transmitted signals include the position, speed and running status of the train to ensure the safe operation of the train, thereby ensuring the safety of passengers and staff. In actual application, in order to avoid the influence of the external environment during long-distance signal transmission, signal terminated cables are usually buried underground. During use, due to soil settlement, Due to reasons such as the growth of plant roots, the signal terminated cables buried underground will be squeezed and pulled, resulting in displacement. Generally, since a margin is left when the signal terminated cables are laid, traditional monitoring systems will only issue an alarm after detecting that the signal terminated cables have displaced beyond the margin range. However, in today's track construction, multiple cables are usually laid along the direction of track operation, forming a high-density cable laying environment. If the distance between the signal terminated cable and other parallel adjacent cables changes after displacement, even if the signal terminated cable's own displacement range does not exceed the set range, it will still be interfered by the electromagnetic fields of other cables, thereby reducing the data transmission accuracy of the signal terminated cable, affecting the safe operation of the train. Summary of the invention

[0003] In view of the defects in the prior art, the present invention provides a signal-terminated cable online monitoring system based on multi-source data fusion to solve the above technical problems.

[0004] A signal-terminated cable online monitoring system based on multi-source data fusion, the system includes the following contents:

[0005] An optical fiber, wherein the optical fiber is wound on the surface of the cable to be tested in a spiral winding manner;

[0006] A multi-source data acquisition module, the multi-source data acquisition module is used to collect environmental data and optical fiber strain data of the cable to be tested;

[0007] A multi-source data processing module, which performs analysis and processing based on the data collected by the multi-source data collection module to obtain electromagnetic field strength data around the cable to be tested;

[0008] A data uplink module, which is used to transmit electromagnetic field strength data exceeding a preset range to a central control terminal;

[0009] The central control terminal is used to receive the data output by the data uplink module and issue a monitoring warning.

[0010] Spiral winding of the optical fiber improves the perception of the cable body and the surrounding environment, thereby improving the accuracy and reliability of the monitoring data. At the same time, through the multi-source data acquisition module, the system can simultaneously obtain environmental data and optical fiber strain data, quickly obtain the surrounding electromagnetic field strength data through the multi-source data processing module, and send it to the central control terminal through the data uplink module, so that the system can issue monitoring warnings in time, improve response speed, and reduce potential safety risks.

[0011] Preferably, the multi-source data acquisition module includes a temperature sensor, a humidity sensor, a fiber grating sensor, a fiber magnetic field sensor and an EDFA optical amplifier.

[0012] The temperature sensor is used to collect the ambient temperature of the environment where the cable to be tested is located in real time.

[0013] The humidity sensor is used to collect the ambient humidity of the environment where the cable to be tested is located in real time.

[0014] The fiber grating sensor is used to collect strain data of the optical fiber.

[0015] The optical fiber magnetic field sensor is used to collect magnetic field intensity data of the environment where the optical fiber is located.

[0016] The EDF optical amplifier is used to compensate for the optical loss caused by the winding and bending of the optical fiber.

[0017] The module integrates temperature sensors, humidity sensors, fiber grating sensors and fiber magnetic field sensors, realizing comprehensive monitoring of the environment of the cable to be tested. It enables the system to monitor the deformation of the cable in real time and promptly detect changes caused by external factors. The data between multiple sensors can complement each other's environmental conditions, providing a multi-dimensional information foundation for the data processing process.

[0018] Preferably, when the multi-source data processing module performs analysis and processing based on the data collected by the multi-source data collection module to obtain the electromagnetic field strength data around the cable to be tested, the steps specifically include:

[0019] Pre-established fiber-cable magnetic field strength model;

[0020] According to the collected data of the optical fiber magnetic field sensor, the electromagnetic field strength data of the cable to be tested is calculated by the optical fiber-cable magnetic field strength model.

[0021] Standardization and modeling of the data processing process can significantly increase processing efficiency and automation, which not only helps in the assessment of cable status, but also provides a basis for subsequent maintenance, adjustment and early warning mechanisms.

[0022] Preferably, the optical fiber-cable magnetic field strength model is specifically shown in the following formula:

[0023] ;

[0024] in, is the electromagnetic field strength data of the cable to be tested, is the cable mechanical strain data, is the ambient magnetic field strength, is the magnetostrictive coupling coefficient, is the humidity-strain coupling coefficient, is the temperature-strain coupling coefficient, is the magneto-optical coupling coefficient, is the magnetic field alternating frequency, is the current distribution correction factor, is the bending loss correction factor;

[0025] Among them, the bending loss correction factor is specifically obtained by the following formula:

[0026] ;

[0027] is the fiber winding angle, is the winding bending loss, is the cable radius, is the yield strength, is the strain transfer coefficient;

[0028] Among them, the current distribution correction factor is specifically obtained by the following formula:

[0029] ;

[0030] Cable conductor resistance temperature coefficient, is the rated current of the cable, Skin effect coupling coefficient, is the reference strain;

[0031] Among them, the humidity-strain coupling coefficient is specifically obtained by the following formula:

[0032] ;

[0033] is the reference humidity, is the ambient humidity value, Humidity diffusion attenuation rate;

[0034] Among them, the temperature-strain coupling coefficient is specifically obtained by the following formula:

[0035] ;

[0036] in, is the reference temperature, is the ambient temperature value, is the thermal expansion coefficient of the cable, is the thermal expansion coefficient of the optical fiber.

[0037] Preferably, when the data uplink module is used to transmit electromagnetic field strength data exceeding a preset range to a central control terminal, the data uplink module further includes the following steps:

[0038] The data uplink module obtains the output data of the multi-source data acquisition module at regular intervals;

[0039] When the electromagnetic field strength data does not exceed a preset range, further obtaining the mechanical strain data of the cable;

[0040] If the cable mechanical strain data exceeds a preset range, the cable mechanical strain data is transmitted to the central control terminal.

[0041] The data uplink module obtains the output data of the multi-source data acquisition module at regular intervals, so that the system can perform dynamic monitoring instead of relying solely on one-time data acquisition, which helps to grasp the cable condition in real time. When the electromagnetic field strength is within a safe range, mechanical strain data will still be obtained. The judgment process of the electromagnetic field strength here avoids unnecessary data transmission, thereby reducing network bandwidth occupancy and central processing burden.

[0042] Preferably, the cable mechanical strain data is obtained by the following formula:

[0043] ;

[0044] in, is the measured strain data of the optical fiber.

[0045] Preferably, at least one temperature sensor is arranged along the laying direction of the cable to be tested, at least one humidity sensor is arranged along the laying direction of the cable to be tested, multiple EDFA optical amplifiers are equidistantly distributed in parallel on the outer surface of the cable to be tested, and multiple fiber grating sensors are equidistantly distributed in parallel on the outer surface of the cable to be tested.

[0046] The equidistant and parallel arrangement of EDFA optical amplifiers can effectively reduce the impact of signal attenuation, thereby improving the stability and accuracy of data transmission. The introduction of optical amplifiers helps to enhance signal strength, reduce data loss or distortion caused by environmental factors, and ensure the reliability of monitoring data. This integrated layout not only reduces the total cost of equipment and wiring, but also facilitates the subsequent maintenance and management of the system.

[0047] Preferably, the data uplink module further comprises a plurality of modular I / O units, which are distributed at a plurality of different monitoring points of the cable to be tested, for performing signal conditioning and signal type conversion on the data output by the multi-source data processing module.

[0048] The introduction of modular I / O units allows flexible selection, addition, reduction and configuration of sensors according to specific monitoring needs. It can process different types of signals, enhance the compatibility and interoperability of various sensor data, and reduce the pressure of data transmission.

[0049] Preferably, the multi-source data processing module further includes a convolutional neural network and a bidirectional gated recurrent unit;

[0050] The convolutional neural network extracts features from the data acquired from the multi-source data acquisition module and captures key time series features;

[0051] The bidirectional gated recurrent unit extracts time series features from the data acquired from the multi-source data acquisition module and models the time series features.

[0052] Combining the structure of convolutional neural network and bidirectional gated recurrent unit, the advantages of both can be integrated, which can not only extract spatial features, but also conduct in-depth analysis of time series, and process data from different sources at the same time, further reducing human intervention and reducing dependence on feature engineering and traditional data processing methods.

[0053] Preferably, the multi-source data processing module also includes a fully connected layer, and at least two bidirectional gated recurrent units are provided in the multi-source data processing module according to the acquisition timing. The health status of the multi-source data processing module is characterized by the hidden state of the bidirectional gated recurrent unit at the end of the timing, and the hidden state of the bidirectional gated recurrent unit at the end of the timing is input into the fully connected layer to predict the health status.

[0054] The use of bidirectional GRU can simultaneously consider past and future time series information, which helps to fully understand the dynamic changes in the data. It also performs health status assessment through a data-driven approach, reducing reliance on domain expert knowledge and human judgment errors, and improving the generalization ability of the model, enabling it to maintain good prediction performance in cable laying environments with different densities.

[0055] The beneficial effects of the present invention are: through the multi-source data acquisition module, the environmental data of the cable to be tested and the strain data generated by the optical fiber wrapped on the cable to be tested are obtained in real time, which can not only determine the displacement of the cable itself, but also analyze the electromagnetic field generated between it and the surrounding cables, and can timely discover and respond to potential safety threats caused by electromagnetic interference from adjacent cables, getting rid of the technical blind spots of traditional technologies that only monitor displacement, providing an innovative solution for electromagnetic safety in high-density cable laying scenarios, improving data accuracy during cable transmission, and thus ensuring the safe operation of trains. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0057] Figure 1 A schematic diagram of the structure of a signal-terminated cable online monitoring system based on multi-source data fusion provided by the present invention;

[0058] Figure 2 A flow chart of transmitting cable mechanical strain data to a central control terminal by a data uplink module of a signal-terminated cable online monitoring system based on multi-source data fusion provided by the present invention. DETAILED DESCRIPTION

[0059] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0060] The disclosure below provides many different embodiments or examples to realize different structures of the present invention. In order to simplify the disclosure of the present invention, the parts and settings of specific examples are described below. Of course, they are only examples, and the purpose is not to limit the present invention.

[0061] The embodiments of the invention are described in detail below with reference to the accompanying drawings.

[0062] like Figure 1 As shown, a signal-terminated cable online monitoring system based on multi-source data fusion includes the following contents:

[0063] An optical fiber, wherein the optical fiber is wound on the surface of the cable to be tested in a spiral winding manner;

[0064] A multi-source data acquisition module, the multi-source data acquisition module is used to collect environmental data and optical fiber strain data of the cable to be tested;

[0065] A multi-source data processing module, which performs analysis and processing based on the data collected by the multi-source data collection module to obtain electromagnetic field strength data around the cable to be tested;

[0066] A data uplink module, which is used to transmit electromagnetic field strength data exceeding a preset range to a central control terminal;

[0067] The central control terminal is used to receive the data output by the data uplink module and issue a monitoring warning.

[0068] Compared with traditional monitoring technologies that only monitor cable displacement and cannot predict the electromagnetic interference risk caused by reduced cable spacing, this solution can obtain surrounding electromagnetic field strength data through a multi-source data processing module and monitor the electromagnetic interference around the cable in real time, thus achieving a paradigm shift from passive alarm to active protection for rail transit cable systems, and providing an innovative solution for electromagnetic safety in high-density cable laying scenarios.

[0069] More specifically, the multi-source data acquisition module includes a temperature sensor, a humidity sensor, a fiber grating sensor, a fiber magnetic field sensor and an EDFA optical amplifier.

[0070] The temperature sensor is used to collect the ambient temperature of the environment where the cable to be tested is located in real time.

[0071] The humidity sensor is used to collect the ambient humidity of the environment where the cable to be tested is located in real time.

[0072] The fiber grating sensor is used to collect strain data of the optical fiber.

[0073] The optical fiber magnetic field sensor is used to collect magnetic field intensity data of the environment where the optical fiber is located.

[0074] The EDF optical amplifier is used to compensate for the optical loss caused by the winding and bending of the optical fiber.

[0075] This monitoring capability enables the system to comprehensively analyze the impact of the electromagnetic environment on cable operation, providing important information for subsequent interference analysis and response strategies. At the same time, the introduction of EDFA optical amplifiers effectively compensates for the optical loss caused by optical fiber winding and bending, ensuring signal quality and data transmission stability, effectively avoiding signal attenuation problems that may occur in traditional optical fiber monitoring processes, and improving system reliability. The diversity and complementarity of this information helps to comprehensively analyze the health status of the cable and environmental influencing factors, significantly improving the ability of real-time monitoring and feedback, and being able to identify and respond to possible faults or risks more quickly.

[0076] More specifically, when the multi-source data processing module analyzes and processes the data collected by the multi-source data collection module to obtain the electromagnetic field strength data around the cable to be tested, the following steps are specifically included:

[0077] Pre-established fiber-cable magnetic field strength model;

[0078] According to the collected data of the optical fiber magnetic field sensor, the electromagnetic field strength data of the cable to be tested is calculated by the optical fiber-cable magnetic field strength model.

[0079] In this solution, calculations are performed based on real-time collected data, allowing the system to dynamically reflect changes in the cable environment. This dynamic adjustment capability is more flexible and effective than fixed thresholds or static monitoring methods, and can identify potential risks in a timely manner. The use of the model standardizes the calculation process, reduces human intervention, increases data analysis speed, and achieves real-time monitoring effects. This technical system has achieved a leapfrog upgrade from "post-event alarm" to "pre-event prevention" in cable electromagnetic safety monitoring through the triple innovation of physical mechanism-driven modeling-edge intelligent computing-full life cycle data closed loop.

[0080] More specifically, the optical fiber-cable magnetic field strength model is specifically shown in the following formula:

[0081] ;

[0082] in, is the electromagnetic field strength data of the cable to be tested, is the cable mechanical strain data, is the ambient magnetic field strength, is the magnetostrictive coupling coefficient, is the humidity-strain coupling coefficient, is the temperature-strain coupling coefficient, is the magneto-optical coupling coefficient, is the magnetic field alternating frequency, is the current distribution correction factor, is the bending loss correction factor;

[0083] Among them, the bending loss correction factor is specifically obtained by the following formula:

[0084] ;

[0085] is the fiber winding angle, is the winding bending loss, is the cable radius, is the yield strength, is the strain transfer coefficient;

[0086] Among them, the current distribution correction factor is specifically obtained by the following formula:

[0087] ;

[0088] Cable conductor resistance temperature coefficient, is the rated current of the cable, Skin effect coupling coefficient, is the reference strain;

[0089] Among them, the humidity-strain coupling coefficient is specifically obtained by the following formula:

[0090] ;

[0091] is the reference humidity, is the ambient humidity value, Humidity diffusion attenuation rate;

[0092] Among them, the temperature-strain coupling coefficient is specifically obtained by the following formula:

[0093] ;

[0094] in, is the reference temperature, is the ambient temperature value, is the thermal expansion coefficient of the cable, is the thermal expansion coefficient of the optical fiber.

[0095] like Figure 2 As shown, more specifically, when the data uplink module is used to transmit the electromagnetic field strength data exceeding the preset range to the central control end, the following steps are also included:

[0096] The data uplink module obtains the output data of the multi-source data acquisition module at regular intervals;

[0097] When the electromagnetic field strength data does not exceed a preset range, further obtaining the mechanical strain data of the cable;

[0098] If the cable mechanical strain data exceeds a preset range, the cable mechanical strain data is transmitted to the central control terminal.

[0099] The data uplink module is equipped with a hierarchical trigger mechanism and an adaptive data optimization transmission strategy, achieving a double leap in the resource efficiency and safety warning capabilities of the monitoring system. At the same time, through hierarchical monitoring and data reporting, it reduces false alarms caused by environmental changes and enhances the system's response to emergencies. Data is transmitted only when obvious mechanical strain anomalies appear in the cable, which can optimize resource allocation, reduce the cost of cable monitoring and maintenance, and improve equipment utilization efficiency and fault detection capabilities.

[0100] More specifically, the cable mechanical strain data is obtained by the following formula:

[0101] ;

[0102] in, is the measured strain data of the optical fiber.

[0103] More specifically, at least one temperature sensor is arranged along the laying direction of the cable to be tested, at least one humidity sensor is arranged along the laying direction of the cable to be tested, multiple EDFA optical amplifiers are equidistantly distributed in parallel on the outer surface of the cable to be tested, and multiple fiber grating sensors are equidistantly distributed in parallel on the outer surface of the cable to be tested.

[0104] By integrating multiple sensing technologies into the design of the cable to be tested, the complexity of arranging sensors separately for each monitoring requirement is reduced, and the problem that single-point sensing technology is prone to forming monitoring blind spots and cannot reflect the gradient changes in the working environment of long-distance cables is solved. The accuracy, real-time and reliability of data collection are improved, thereby providing a more solid guarantee for the safe operation of the cable.

[0105] More specifically, the data uplink module also includes a plurality of modular I / O units distributed at a plurality of different monitoring points of the cable to be tested, for performing signal conditioning and signal type conversion on the data output by the multi-source data processing module.

[0106] This modular design enables the system to adapt to different environments and application scenarios, facilitates the expansion of functions according to needs, improves signal quality, and reduces the problem of signal-to-noise ratio degradation during long-distance analog signal transmission, allowing the central control end to concentrate resources on more critical data analysis during processing, thereby improving the efficiency of the entire system. This not only simplifies the installation process, but also greatly reduces the difficulty and cost of system maintenance.

[0107] More specifically, the multi-source data processing module further includes a convolutional neural network and a bidirectional gated recurrent unit;

[0108] The convolutional neural network extracts features from the data acquired from the multi-source data acquisition module and captures key time series features;

[0109] The bidirectional gated recurrent unit extracts time series features from the data acquired from the multi-source data acquisition module and models the time series features.

[0110] Through the feature learning ability of CNN, important information in the data can be effectively captured, and the efficiency of data processing can be improved. At the same time, with the bidirectional gated recurrent unit, the model has a stronger contextual memory ability when understanding time series data, thereby providing more accurate prediction and analysis capabilities. Compared with single models such as pure LSTM or CNN, it solves the problem of being unable to simultaneously capture the spatial distribution characteristics and time series dynamic evolution laws of multi-source data, resulting in the loss of key features. It can support more complex industrial applications, meet the needs of real-time decision-making, reduce the implementation and maintenance costs of the system, and make the data processing process more efficient.

[0111] More specifically, the multi-source data processing module also includes a fully connected layer, and at least two bidirectional gated recurrent units are provided in the multi-source data processing module according to the acquisition timing. The health status of the multi-source data processing module is represented by the hidden state of the bidirectional gated recurrent unit at the end of the timing, and the hidden state of the bidirectional gated recurrent unit at the end of the timing is input into the fully connected layer to predict the health status.

[0112] By using multiple bidirectional gated recurrent units in the multi-source data processing module, the long-term dependencies and complex features of time series data can be effectively captured, potential failure modes can be identified more effectively than traditional methods, and higher prediction accuracy can be achieved. Compared with single-layer unidirectional RNN or shallow LSTM, it is difficult to capture the long-range time series correlation of the evolution of health status in a high-density cable laying environment, and the early warning miss rate of progressive faults such as cable sheath aging is significantly reduced.

[0113] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. These modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and specification of the present invention.

Claims

1. A signal-terminated cable online monitoring system based on multi-source data fusion, characterized in that: The invention comprises the following contents: an optical fiber, which is spirally wound around the surface of the cable to be tested; a multi-source data acquisition module, which is used to collect environmental data and optical fiber strain data of the cable to be tested; and a multi-source data processing module, which analyzes and processes the data collected by the multi-source data acquisition module to obtain electromagnetic field strength data around the cable to be tested. A data uplink module is used to transmit electromagnetic field strength data exceeding a preset range to a central control terminal; a central control terminal is used to receive data output by the data uplink module and issue a monitoring warning.

2. The signal-terminated cable online monitoring system based on multi-source data fusion according to claim 1 is characterized in that: The multi-source data acquisition module includes a temperature sensor, a humidity sensor, a fiber grating sensor, a fiber magnetic field sensor and an EDFA optical amplifier. The temperature sensor is used to collect the ambient temperature of the environment where the cable to be tested is located in real time. The humidity sensor is used to collect the ambient humidity of the environment where the cable to be tested is located in real time. The fiber grating sensor is used to collect the strain data of the optical fiber. The fiber magnetic field sensor is used to collect the magnetic field intensity data of the environment where the optical fiber is located. The EDF optical amplifier is used to compensate for the optical loss caused by optical fiber winding and bending.

3. The signal-terminated cable online monitoring system based on multi-source data fusion according to claim 2 is characterized in that: When the multi-source data processing module performs analysis and processing based on the data collected by the multi-source data acquisition module to obtain the electromagnetic field strength data around the cable to be tested, the following steps are specifically included: pre-establishing an optical fiber-cable magnetic field strength model; and calculating the electromagnetic field strength data of the cable to be tested through the optical fiber-cable magnetic field strength model based on the collected data of the optical fiber magnetic field sensor.

4. The signal-terminated cable online monitoring system based on multi-source data fusion according to claim 3 is characterized in that: The optical fiber-cable magnetic field strength model is specifically shown in the following formula: ;in, is the electromagnetic field strength data of the cable to be tested, is the cable mechanical strain data, is the ambient magnetic field strength, is the magnetostrictive coupling coefficient, is the humidity-strain coupling coefficient, is the temperature-strain coupling coefficient, is the magneto-optical coupling coefficient, is the magnetic field alternating frequency, is the current distribution correction factor, is the bending loss correction factor; wherein the bending loss correction factor is specifically obtained by the following formula: ; is the fiber winding angle, is the winding bending loss, is the cable radius, is the yield strength, is the strain transfer coefficient; the current distribution correction factor is specifically obtained by the following formula: ; Cable conductor resistance temperature coefficient, is the rated current of the cable, Skin effect coupling coefficient, is the reference strain; the humidity-strain coupling coefficient is obtained by the following formula: ; is the reference humidity, is the ambient humidity value, Humidity diffusion attenuation rate; where the temperature-strain coupling coefficient is specifically obtained by the following formula: ; is the reference temperature, is the ambient temperature value, is the thermal expansion coefficient of the cable, is the thermal expansion coefficient of the optical fiber.

5. The signal-terminated cable online monitoring system based on multi-source data fusion according to claim 4 is characterized in that: When the data uplink module is used to transmit the electromagnetic field strength data exceeding the preset range to the central control end, it also includes the following steps: the data uplink module obtains the output data of the multi-source data acquisition module at regular and equal intervals; when the electromagnetic field strength data does not exceed the preset range, further obtains the mechanical strain data of the cable; if the cable mechanical strain data exceeds the preset range, transmits the cable mechanical strain data to the central control end.

6. The signal-terminated cable online monitoring system based on multi-source data fusion according to claim 5 is characterized in that: The cable mechanical strain data is obtained by the following formula: ;in, is the measured strain data of the optical fiber.

7. The signal-terminated cable online monitoring system based on multi-source data fusion according to claim 2 is characterized in that: At least one temperature sensor is arranged along the laying direction of the cable to be tested, at least one humidity sensor is arranged along the laying direction of the cable to be tested, multiple EDFA optical amplifiers are equidistantly distributed in parallel on the outer surface of the cable to be tested, and multiple fiber grating sensors are equidistantly distributed in parallel on the outer surface of the cable to be tested.

8. The signal-terminated cable online monitoring system based on multi-source data fusion according to claim 7 is characterized in that: The data uplink module also includes a plurality of modular I / O units, which are distributed at a plurality of different monitoring points of the cable to be tested, and are used to perform signal conditioning and signal type conversion on the data output by the multi-source data processing module.

9. The signal-terminated cable online monitoring system based on multi-source data fusion according to claim 8 is characterized in that: The multi-source data processing module also includes a convolutional neural network and a bidirectional gated recurrent unit; the convolutional neural network performs feature extraction on the data acquired from the multi-source data acquisition module and captures key time series features; the bidirectional gated recurrent unit performs time series feature extraction on the data acquired from the multi-source data acquisition module and models the time series features.

10. The signal-terminated cable online monitoring system based on multi-source data fusion according to claim 9 is characterized in that: The multi-source data processing module also includes a fully connected layer. At least two bidirectional gated recurrent units are provided in the multi-source data processing module according to the acquisition timing. The health status of the multi-source data processing module is characterized by the hidden state of the bidirectional gated recurrent unit at the end of the timing. The hidden state of the bidirectional gated recurrent unit at the end of the timing is input into the fully connected layer to predict the health status.

Images