Method, device and system for monitoring moisture content between towers

Abstract

The invention provides a method, a device and a system for monitoring water vapor content between towers. The system comprises a water vapor content monitoring device, a microwave transmitter arranged on a first tower, a laser radar and a microwave receiver arranged on a second tower, the water vapor content monitoring device is respectively in communication connection with the microwave transmitter and the microwave receiver, and the microwave transmitter is in communication connection with the microwave receiver; the microwave receiver receives a target microwave signal sent by the microwave transmitter to obtain an attenuation value; the water vapor content monitoring device determines water vapor content distribution between the first tower and the second tower according to the attenuation values and a water vapor content monitoring model, and the water vapor content monitoring model is obtained by pre-training based on the attenuation values of the batch historical microwave signals and actual water vapor content distribution of the batch historical microwave signals; and the laser radar measures actual water vapor content distribution, and after the water vapor content monitoring model is obtained, the laser radar is removed. According to the invention, long-term outdoor monitoring of moisture content distribution between towers can be realized, and the safety of a power grid can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of micro-meteorological monitoring of power transmission channels, and in particular to a method, device and system for monitoring water vapor content between pole towers. Background Art

[0002] Long-term monitoring data can also provide valuable reference for power grid planning and design. High water vapor content may lead to extreme weather, such as heavy rain and ice cover, which will damage the transmission channel.

[0003] By monitoring the water vapor content, these extreme weather conditions can be warned in advance, and corresponding measures can be taken to reduce the impact of disasters on the power grid. The current monitoring of water vapor content in the transmission channel mainly relies on micro-meteorological stations installed on the towers. Such micro-meteorological stations can measure and record various meteorological parameters and provide data for monitoring and forecasting extreme micro-meteorological conditions in the transmission channel. Micro-meteorological stations can only measure meteorological data where the towers are located, and cannot collect meteorological data between the towers. However, the topography between the towers may be very different from that at the towers, and the occurrence and scope of some extreme micro-meteorological conditions happen to be between the towers. Micro-meteorological stations are powerless to monitor such extreme meteorological disasters. Only by measuring the meteorological data between the towers, especially the water vapor content data, can we grasp the meteorological conditions between the towers.

[0004] LiDAR can measure the distribution of water vapor content along a path, but it is expensive, difficult to maintain, and not suitable for long-term outdoor monitoring. Summary of the invention

[0005] In response to at least one problem in the prior art, the present application proposes a method, device and system for monitoring water vapor content between poles and towers, which can realize long-term outdoor monitoring of water vapor content distribution between poles and towers, thereby improving the safety of the power grid.

[0006] In order to solve the above technical problems, this application provides the following technical solutions:

[0007] In a first aspect, the present application provides a water vapor content monitoring system between towers, comprising:

[0008] A water vapor content monitoring device, a microwave transmitter and a laser radar arranged at the first tower, and a microwave receiver arranged at the second tower;

[0009] The water vapor content monitoring device is communicatively connected to the microwave transmitter and the microwave receiver respectively, and the microwave transmitter is communicatively connected to the microwave receiver;

[0010] The microwave receiver is used to receive the target microwave signal sent by the microwave transmitter and obtain the attenuation value corresponding to the target microwave signal;

[0011] The water vapor content monitoring device is used to determine the water vapor content distribution between the first tower and the second tower according to the attenuation value and a preset water vapor content monitoring model, wherein the preset water vapor content monitoring model is obtained by pre-training a neural network model based on batch training samples, each training sample comprising: an attenuation value of a historical microwave signal and its corresponding actual water vapor content distribution between the first tower and the second tower;

[0012] The laser radar is used to measure the actual water vapor content distribution between the first tower and the second tower. After the preset water vapor content monitoring model is obtained through training, the laser radar at the first tower is removed.

[0013] In one embodiment, when the laser radar is set at the first pole tower, the distance between the laser radar and the microwave transmitter is less than a distance threshold, and the microwave transmission path between the microwave transmitter and the microwave receiver is parallel to the laser detection path of the laser radar.

[0014] In one embodiment, the operating frequencies of the microwave transmitter and the microwave receiver are both 22.3 GHz.

[0015] In a second aspect, the present application provides a method for monitoring water vapor content between towers, which is implemented by using the water vapor content monitoring system, and the method includes:

[0016] Acquire an attenuation value corresponding to the target microwave signal transmitted from the microwave transmitter to the microwave receiver;

[0017] The water vapor content distribution between the first tower and the second tower is determined according to the attenuation value and a preset water vapor content monitoring model, wherein the preset water vapor content monitoring model is obtained by training a neural network model based on batch training samples, and each training sample includes: an attenuation value of a historical microwave signal and its corresponding actual water vapor content distribution between the first tower and the second tower.

[0018] In one embodiment, the method for monitoring water vapor content between towers further includes:

[0019] Collecting batch training samples; using the batch training samples to train the neural network model to obtain the preset water vapor content monitoring model.

[0020] In one embodiment, the collecting of batch training samples includes:

[0021] For any training sample, obtaining a historical attenuation value corresponding to the transmission of a historical microwave signal from the microwave transmitter to the microwave receiver;

[0022] While the historical microwave signal is transmitted from the microwave transmitter to the microwave receiver, the actual water vapor content distribution between the first tower and the second tower is measured using a laser radar disposed at the first tower.

[0023] In one embodiment, the step of obtaining an attenuation value corresponding to the target microwave signal transmitted from the microwave transmitter to the microwave receiver includes:

[0024] The attenuation value corresponding to the target microwave signal is obtained according to the intensity value of the target microwave signal emitted by the microwave transmitter arranged at the first pole tower and the intensity value of the target microwave signal received by the microwave receiver arranged at the second pole tower.

[0025] In a third aspect, the present application provides a water vapor content monitoring device between towers, comprising:

[0026] An acquisition module is used to acquire an attenuation value corresponding to the target microwave signal transmitted from the microwave transmitter to the microwave receiver;

[0027] A monitoring module is used to determine the water vapor content distribution between the first tower and the second tower according to the attenuation value and a preset water vapor content monitoring model, wherein the preset water vapor content monitoring model is obtained by training a neural network model based on batch training samples, and each training sample includes: an attenuation value of a historical microwave signal and its corresponding actual water vapor content distribution between the first tower and the second tower.

[0028] In one embodiment, the water vapor content monitoring device further includes:

[0029] The acquisition module is used to collect batch training samples;

[0030] The training module is used to train the neural network model using batch training samples to obtain the preset water vapor content monitoring model.

[0031] In one embodiment, the acquisition module includes:

[0032] An acquisition unit, configured to acquire, for any training sample, a historical attenuation value corresponding to the transmission of a historical microwave signal from the microwave transmitter to the microwave receiver;

[0033] The measuring unit is used to measure and obtain the actual water vapor content distribution between the first tower and the second tower using a laser radar arranged at the first tower while the historical microwave signal is transmitted from the microwave transmitter to the microwave receiver.

[0034] In one embodiment, the acquisition module includes:

[0035] The attenuation value determining unit is used to obtain the attenuation value corresponding to the target microwave signal according to the strength value of the target microwave signal emitted by the microwave transmitter arranged at the first pole tower and the strength value of the target microwave signal received by the microwave receiver arranged at the second pole tower.

[0036] In a fourth aspect, the present application provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method for monitoring water vapor content between pole towers when executing the program.

[0037] In a fifth aspect, the present application provides a computer-readable storage medium having computer instructions stored thereon, and when the instructions are executed by a processor, the method for monitoring water vapor content between pole towers is implemented.

[0038] It can be seen from the above technical solution that the present application provides a method, device and system for monitoring water vapor content between pole towers. The system includes: a water vapor content monitoring device, a microwave transmitter arranged at a first pole tower, a laser radar and a microwave receiver arranged at a second pole tower; the water vapor content monitoring device is respectively connected to the microwave transmitter and the microwave receiver in communication, and the microwave transmitter is connected to the microwave receiver in communication; the microwave receiver is used to receive the target microwave signal sent by the microwave transmitter and obtain the attenuation value corresponding to the target microwave signal; the water vapor content monitoring device is used to determine the water vapor content distribution between the first pole tower and the second pole tower according to the attenuation value and a preset water vapor content monitoring model, and the preset water vapor content monitoring model is obtained by pre-training a neural network model based on batch training samples, and each training sample includes: the attenuation value of the historical microwave signal and its corresponding attenuation value of the first pole tower and the preset water vapor content monitoring model. The actual water vapor content distribution between a pole tower and a second pole tower; the laser radar is used to measure the actual water vapor content distribution between the first pole tower and the second pole tower. After training the preset water vapor content monitoring model, the laser radar at the first pole tower is removed, which can achieve long-term outdoor monitoring of water vapor content distribution between pole towers, thereby improving the safety of the power grid; specifically, low-cost, long-term outdoor monitoring of water vapor content distribution between pole towers can be achieved, which can effectively solve the challenges brought by accurately estimating air humidity changes between power transmission lines, and provide important data support for preventing power grid failures caused by severe weather conditions such as strong winds and icing, and can avoid the failure of laser radar to monitor water vapor content distribution between pole towers; it can play an important role in ensuring the stability and safety of power supply. It can not only prevent the impact of extreme weather on transmission channels, but also improve the operating efficiency of the power grid and support the construction of smart grids. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] 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.

[0040] Figure 1 is a structural block diagram of a water vapor content monitoring system between towers in an embodiment of the present application;

[0041] Figure 2 is a schematic structural diagram of a water vapor content monitoring system between towers in an embodiment of the present application;

[0042] Figure 3 is a first flow chart of a method for monitoring water vapor content between towers in an embodiment of the present application;

[0043] Figure 4 is a second flow chart of the method for monitoring water vapor content between towers in an embodiment of the present application;

[0044] Figure 5 is a first structural schematic diagram of a water vapor content monitoring device between towers in an embodiment of the present application;

[0045] Figure 6 It is a schematic block diagram of the system structure of the electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0046] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are only part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0047] The details are described through the following embodiments.

[0048] In order to achieve long-term outdoor monitoring of water vapor content distribution between poles and towers, and thus improve the safety of the power grid, this embodiment provides a water vapor content monitoring system between poles and towers, such as Figure 1 and Figure 2 As shown, the system specifically includes the following contents:

[0049] A water vapor content monitoring device 1, a microwave transmitter 2, a laser radar 3 and a microwave receiver 4 arranged at a second tower; the water vapor content monitoring device is respectively connected to the microwave transmitter and the microwave receiver, and the microwave transmitter is connected to the microwave receiver; the microwave receiver is used to receive a target microwave signal sent by the microwave transmitter and obtain an attenuation value corresponding to the target microwave signal; the water vapor content monitoring device is used to determine the water vapor content distribution between the first tower and the second tower according to the attenuation value and a preset water vapor content monitoring model, the preset water vapor content monitoring model is obtained by pre-training a neural network model based on batch training samples, and each training sample includes: the attenuation value of the historical microwave signal and its corresponding actual water vapor content distribution between the first tower and the second tower; the laser radar is used to measure the actual water vapor content distribution between the first tower and the second tower, and after the preset water vapor content monitoring model is obtained through training, the laser radar at the first tower is removed.

[0050] Specifically, the water vapor content monitoring device includes but is not limited to a server; the microwave transmitter emits a microwave signal of fixed power, and the microwave receiver obtains the attenuation value data during the microwave transmission process by measuring the intensity of the received microwave signal. Preferably, the operating frequency of the microwave transmitter and the microwave receiver are both 22.3 GHz, and the frequency sensitive to water molecules can be used as the operating frequency of the microwave transmitter and the microwave receiver. The water vapor content distribution between the first tower and the second tower can be equivalent to the atmospheric water content between the towers of the microwave link spatial transmission attenuation.

[0051] To further illustrate the present solution, the present application provides an application example of a water vapor content monitoring system between towers. In this application example, the system includes:

[0052] A water vapor content monitoring device, two microwave receivers and a microwave transmitter respectively installed on different poles and towers; the microwave transmitter emits a microwave signal of fixed power, and the microwave receiver obtains the attenuation value data in the microwave transmission process by measuring the intensity of the received microwave signal; the microwave receiver and the microwave transmitter operate at a frequency that is sensitive to water molecules as the operating frequency; the water vapor content monitoring device compares the humidity information observed by the laser radar installed on the same pole and tower as the microwave transmitter, and establishes a sample set for training the inversion model of the distribution value of the water vapor amount between the poles and towers, and establishes the inversion model of the distribution value of the water vapor content between the poles and towers through training. The inversion model of the distribution value of the water vapor content between the poles and towers can be a data-driven inversion model for the characteristics of the millimeter wave communication link, and the inversion model of the distribution value of the water vapor content between the poles and towers can be equivalent to the above-mentioned water vapor content monitoring model.

[0053] In order to improve the reliability of obtaining the attenuation value and the actual water vapor content distribution, in one embodiment, when the laser radar is set at the first pole tower, the distance between the laser radar and the microwave transmitter is less than a distance threshold, and the microwave transmission path between the microwave transmitter and the microwave receiver is parallel to the laser detection path of the laser radar.

[0054] Specifically, the path of laser detection is parallel to the path between microwave transceivers. Preferably, the difference between the two is 0.5m, and the distance threshold is 0.5m. The sample set can be used to train the inversion model of water vapor distribution between towers, and the inversion model of the distribution value of water vapor content between towers is established through training.

[0055] In order to achieve long-term outdoor monitoring of water vapor content distribution between poles and towers, thereby improving the safety of the power grid, this embodiment provides a method for monitoring water vapor content between poles and towers, in which the execution subject is a water vapor content monitoring device, which is implemented by applying the water vapor content monitoring system. The water vapor content monitoring device includes but is not limited to a server, such as Figure 3 As shown, the method includes:

[0056] Step 100: Obtain an attenuation value corresponding to the target microwave signal transmitted from the microwave transmitter to the microwave receiver.

[0057] Step 200: Determine the water vapor content distribution between the first tower and the second tower according to the attenuation value and a preset water vapor content monitoring model, wherein the preset water vapor content monitoring model is obtained by training a neural network model based on batch training samples, and each training sample includes: the attenuation value of a historical microwave signal and its corresponding actual water vapor content distribution between the first tower and the second tower.

[0058] In order to improve the reliability of water vapor content monitoring model training, in one embodiment, the water vapor content monitoring method between towers further includes:

[0059] Step 001: Collect batch training samples.

[0060] Step 002: Apply batch training samples to train the neural network model to obtain the preset water vapor content monitoring model.

[0061] Specifically, the neural network model can be a classification model; the neural network model can be used to establish the relationship between the attenuation value obtained by microwave measurement and the water vapor content, and the function realized by the relationship between the attenuation value and the water vapor content can be equivalent to the function realized by the above-mentioned preset water vapor content monitoring model, which includes: determining the attenuation value obtained by the microwave receiver as the input data of the neural network model, and using the water vapor content distribution on the microwave transmission path measured by the lidar as the output data of the neural network; using the sigmoid function as the activation function; using the cross entropy loss function to calculate the output loss value, and when the output loss value takes the minimum value, determining the relationship between the attenuation value obtained by the microwave measurement and the water vapor content distribution at the tower according to the network parameters obtained by the neural network.

[0062] In order to improve the reliability of obtaining training samples, such as Figure 4 As shown, in one embodiment, step 001 includes:

[0063] Step 011: For any training sample, obtain a historical attenuation value corresponding to the transmission of a historical microwave signal from the microwave transmitter to the microwave receiver.

[0064] Step 012: While the historical microwave signal is transmitted from the microwave transmitter to the microwave receiver, a laser radar disposed at the first tower is used to measure and obtain actual water vapor content distribution between the first tower and the second tower.

[0065] Specifically, the laser radar can be installed at the same position as the microwave transmitter. The laser radar and the microwave link work simultaneously. The laser radar measures the distribution of water vapor content on the microwave transmission path and uses it as the true value of the water vapor content. The attenuation value data obtained by the microwave link measurement is cleaned to remove interference data that exceeds the response threshold. The attenuation value obtained by the microwave measurement is used as the target domain, and the integral value of the water vapor content distribution value measured by the laser radar at the same time is used as the original domain. Through data consistency processing, the distribution of the two is made consistent, and then used as a training data sample. The edge probability distribution distance between the original domain and the target domain can be calculated to make them consistent. Preferably, the sample library contains 6400 training samples.

[0066] In order to improve the reliability of obtaining the attenuation value corresponding to the target microwave signal, in one embodiment, step 100 includes:

[0067] The attenuation value corresponding to the target microwave signal is obtained according to the intensity value of the target microwave signal emitted by the microwave transmitter arranged at the first pole tower and the intensity value of the target microwave signal received by the microwave receiver arranged at the second pole tower.

[0068] Specifically, the attenuation value corresponding to the target microwave signal may represent the attenuation value of the target microwave signal passing through the microwave transmission path between the microwave transmitter and the microwave receiver.

[0069] The present application provides an application example of a method for monitoring water vapor content between poles and towers. In this application example, the method includes: obtaining an attenuation value corresponding to a microwave link and a water vapor content distribution value on a microwave transmission path; performing data consistency processing; establishing a sample library, training a neural network model, and realizing inversion of water vapor content between poles and towers.

[0070] From the software level, in order to achieve long-term outdoor monitoring of water vapor content distribution between towers and thus improve the safety of the power grid, the present application provides an embodiment of a water vapor content monitoring device between towers for implementing all or part of the contents of the water vapor content monitoring method between towers, see Figure 5 The water vapor content monitoring device between the towers specifically includes the following contents:

[0071] The acquisition module 01 is used to obtain the attenuation value corresponding to the target microwave signal transmitted from the microwave transmitter to the microwave receiver;

[0072] Monitoring module 02 is used to determine the water vapor content distribution between the first tower and the second tower according to the attenuation value and a preset water vapor content monitoring model, wherein the preset water vapor content monitoring model is obtained by training a neural network model based on batch training samples, and each training sample includes: the attenuation value of the historical microwave signal and its corresponding actual water vapor content distribution between the first tower and the second tower.

[0073] In one embodiment, the water vapor content monitoring device further includes:

[0074] The acquisition module is used to collect batch training samples;

[0075] The training module is used to train the neural network model using batch training samples to obtain the preset water vapor content monitoring model.

[0076] In one embodiment, the acquisition module includes:

[0077] An acquisition unit, configured to acquire, for any training sample, a historical attenuation value corresponding to the transmission of a historical microwave signal from the microwave transmitter to the microwave receiver;

[0078] The measuring unit is used to measure and obtain the actual water vapor content distribution between the first tower and the second tower using a laser radar arranged at the first tower while the historical microwave signal is transmitted from the microwave transmitter to the microwave receiver.

[0079] In one embodiment, the acquisition module includes:

[0080] The attenuation value determining unit is used to obtain the attenuation value corresponding to the target microwave signal according to the strength value of the target microwave signal emitted by the microwave transmitter arranged at the first pole tower and the strength value of the target microwave signal received by the microwave receiver arranged at the second pole tower.

[0081] The embodiment of the water vapor content monitoring device between poles and towers provided in this specification can be specifically used to execute the processing flow of the embodiment of the water vapor content monitoring method between poles and towers mentioned above. Its functions are not repeated here, and reference can be made to the detailed description of the embodiment of the water vapor content monitoring method between poles and towers mentioned above.

[0082] As can be seen from the above description, the water vapor content monitoring method, device and system provided in the embodiment of the present application can install microwave transceivers on two towers, and can use frequencies sensitive to water molecules as working frequencies. The microwave transmitter emits a microwave signal of fixed power, and the microwave receiver obtains the attenuation value data in the microwave transmission process by measuring the intensity of the received microwave signal. After removing the interference factors, the correction result of the link signal attenuation value can be obtained. These data can be synchronously compared and analyzed with the humidity information recorded by the laser radar installed at the same position to construct a data set for training the water vapor content monitoring model. Based on this data set, a water vapor content monitoring model can be established, and the above data set can be used to calibrate or train the neural network model; the reserved verification data set can be used to verify the accuracy and reliability of the established model. In this way, the challenges brought about by accurately estimating the changes in air humidity between power transmission lines can be effectively solved, and important data support can be provided for preventing power grid failures caused by severe weather conditions such as strong winds and icing.

[0083] Figure 6 A schematic diagram of the physical structure of an electronic device provided in an embodiment of the present invention, such as Figure 6 As shown, the electronic device includes: a memory 601, a processor 602, and a computer program stored in the memory 601 and executable on the processor 602. When the processor 602 executes the computer program, the following method is implemented:

[0084] Step 100: Obtain an attenuation value corresponding to the target microwave signal transmitted from the microwave transmitter to the microwave receiver.

[0085] Step 200: Determine the water vapor content distribution between the first tower and the second tower according to the attenuation value and a preset water vapor content monitoring model, wherein the preset water vapor content monitoring model is obtained by training a neural network model based on batch training samples, and each training sample includes: the attenuation value of a historical microwave signal and its corresponding actual water vapor content distribution between the first tower and the second tower.

[0086] This embodiment discloses a computer program product, the computer program product including a computer program, and when the computer program is executed by a processor, the following method is implemented:

[0087] Step 100: Obtain an attenuation value corresponding to the target microwave signal transmitted from the microwave transmitter to the microwave receiver.

[0088] Step 200: Determine the water vapor content distribution between the first tower and the second tower according to the attenuation value and a preset water vapor content monitoring model, wherein the preset water vapor content monitoring model is obtained by training a neural network model based on batch training samples, and each training sample includes: the attenuation value of a historical microwave signal and its corresponding actual water vapor content distribution between the first tower and the second tower.

[0089] This embodiment provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the following method is implemented:

[0090] Step 100: Obtain an attenuation value corresponding to the target microwave signal transmitted from the microwave transmitter to the microwave receiver.

[0091] Step 200: Determine the water vapor content distribution between the first tower and the second tower according to the attenuation value and a preset water vapor content monitoring model, wherein the preset water vapor content monitoring model is obtained by training a neural network model based on batch training samples, and each training sample includes: the attenuation value of a historical microwave signal and its corresponding actual water vapor content distribution between the first tower and the second tower.

[0092] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0093] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0094] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0095] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0096] In the description of this specification, the description with reference to the terms "one embodiment", "a specific embodiment", "some embodiments", "for example", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0097] The specific embodiments described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. 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 water vapor content monitoring system between towers, characterized in that: include: A water vapor content monitoring device, a microwave transmitter and a laser radar arranged at the first tower, and a microwave receiver arranged at the second tower; The water vapor content monitoring device is communicatively connected to the microwave transmitter and the microwave receiver respectively, and the microwave transmitter is communicatively connected to the microwave receiver; The microwave receiver is used to receive the target microwave signal sent by the microwave transmitter and obtain the attenuation value corresponding to the target microwave signal; The water vapor content monitoring device is used to determine the water vapor content distribution between the first tower and the second tower according to the attenuation value and a preset water vapor content monitoring model, wherein the preset water vapor content monitoring model is obtained by pre-training a neural network model based on batch training samples, each training sample comprising: an attenuation value of a historical microwave signal and its corresponding actual water vapor content distribution between the first tower and the second tower; The laser radar is used to measure the actual water vapor content distribution between the first tower and the second tower. After the preset water vapor content monitoring model is obtained through training, the laser radar at the first tower is removed.

2. The water vapor content monitoring system between towers according to claim 1 is characterized in that: When the laser radar is arranged at the first pole tower, the distance between the laser radar and the microwave transmitter is less than a distance threshold, and the microwave transmission path between the microwave transmitter and the microwave receiver is parallel to the laser detection path of the laser radar.

3. The water vapor content monitoring system between towers according to claim 1 is characterized in that: The operating frequencies of the microwave transmitter and the microwave receiver are both 22.3 GHz.

4. A method for monitoring water vapor content between towers, characterized in that: The method is implemented by using the water vapor content monitoring system according to any one of claims 1 to 3, comprising: Acquire an attenuation value corresponding to the target microwave signal transmitted from the microwave transmitter to the microwave receiver; The water vapor content distribution between the first tower and the second tower is determined according to the attenuation value and a preset water vapor content monitoring model, wherein the preset water vapor content monitoring model is obtained by training a neural network model based on batch training samples, and each training sample includes: an attenuation value of a historical microwave signal and its corresponding actual water vapor content distribution between the first tower and the second tower.

5. The method for monitoring water vapor content between towers according to claim 4, characterized in that: Also includes: Collecting batch training samples; using the batch training samples to train the neural network model to obtain the preset water vapor content monitoring model.

6. The method for monitoring water vapor content between towers according to claim 5, characterized in that: The collecting of batch training samples includes: For any training sample, obtaining a historical attenuation value corresponding to the transmission of a historical microwave signal from the microwave transmitter to the microwave receiver; While the historical microwave signal is transmitted from the microwave transmitter to the microwave receiver, the actual water vapor content distribution between the first tower and the second tower is measured using a laser radar disposed at the first tower.

7. The method for monitoring water vapor content between towers according to claim 4, characterized in that: The obtaining of the attenuation value corresponding to the target microwave signal transmitted from the microwave transmitter to the microwave receiver includes: The attenuation value corresponding to the target microwave signal is obtained according to the intensity value of the target microwave signal emitted by the microwave transmitter arranged at the first pole tower and the intensity value of the target microwave signal received by the microwave receiver arranged at the second pole tower.

8. A water vapor content monitoring device between towers, characterized in that: include: An acquisition module is used to acquire an attenuation value corresponding to the target microwave signal transmitted from the microwave transmitter to the microwave receiver; A monitoring module is used to determine the water vapor content distribution between the first tower and the second tower according to the attenuation value and a preset water vapor content monitoring model, wherein the preset water vapor content monitoring model is obtained by training a neural network model based on batch training samples, and each training sample includes: an attenuation value of a historical microwave signal and its corresponding actual water vapor content distribution between the first tower and the second tower.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the method for monitoring water vapor content between towers according to any one of claims 4 to 7 is implemented.

10. A computer-readable storage medium having computer instructions stored thereon, characterized in that: When the instructions are executed by the processor, the method for monitoring water vapor content between towers according to any one of claims 4 to 7 is implemented.

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