Electric wire icing data determination method and device, computer equipment and storage medium

Abstract

The invention relates to a wire icing data determination method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring detection signals respectively corresponding to a plurality of directions of a to-be-detected wire in real time through detectors arranged in the plurality of directions of the to-be-detected wire in advance; according to the plurality of detection signals, determining icing types corresponding to the to-be-detected wire in a plurality of directions, and determining a propagation sound velocity corresponding to each icing type; and according to the icing types corresponding to the multiple directions of the to-be-detected wire, the propagation sound velocity corresponding to each icing type and the detection signals corresponding to the multiple directions of the to-be-detected wire, the icing thickness corresponding to each direction of the to-be-detected wire is calculated. By adopting the method, more comprehensive and reliable detection signals on the surface of the to-be-detected electric wire can be obtained, and corresponding propagation sound velocities are matched for the detection signals according to the ice accumulation types corresponding to the detection signals, so that the accuracy and reliability of determining the icing data of the electric wire can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of power transmission lines, and in particular to a method, device, computer equipment, storage medium and computer program product for determining electric wire icing data. Background Art

[0002] The problem of icing on power lines is a major challenge faced in cold regions and during winter. Due to the accumulation of ice and snow, the safety, stability and reliability of power facilities may be greatly threatened. The accumulation of ice on the power lines will not only increase the burden on the power lines, but may also cause damage to power facilities, power outages and other problems. In severe cases, it may even cause large-scale power outages. Therefore, timely and accurate monitoring of the icing of power lines is crucial to ensuring power supply and people's livelihood safety.

[0003] In traditional technology, image monitoring methods are used to estimate the thickness of ice. This method relies on cameras or drones to capture images of the surface of wires, and then processes the images through image recognition technology and artificial intelligence (AI) algorithms to estimate the thickness, type and location of ice on the wires.

[0004] However, when the image monitoring method relies on images taken by the camera to estimate the ice thickness, the camera is easily covered by ice, snow, haze or other weather factors, which leads to a decrease in image quality and affects the accuracy of ice thickness measurement. In addition, in cold seasons, snow or ice may directly block the camera's field of view, resulting in an inability to obtain clear image data, which in turn reduces the accuracy of the wire icing data. When the image monitoring method relies on drone photography, the shooting angle is often limited and may not be able to fully or accurately capture the icing conditions on the wire surface. In addition, the drone's flight altitude and viewing angle may cause the captured image to have blind spots in certain areas, resulting in reduced accuracy of wire icing data. Summary of the invention

[0005] Based on this, it is necessary to provide a method, device, computer equipment, computer-readable storage medium and computer program product for determining wire icing data that can improve the accuracy of determining wire icing data in response to the above technical problems.

[0006] In a first aspect, the present application provides a method for determining electric wire icing data, comprising:

[0007] By pre-setting detectors in multiple directions of the wire to be tested, detection signals corresponding to multiple directions of the wire to be tested are obtained in real time;

[0008] Determine the ice accumulation types corresponding to multiple directions of the wire to be tested according to the multiple detection signals, and determine the propagation sound speed corresponding to each ice accumulation type;

[0009] According to the ice accumulation types corresponding to multiple directions of the wire to be tested, the propagation sound speed corresponding to each ice accumulation type and the detection signals corresponding to multiple directions of the wire to be tested, the ice thickness corresponding to each direction of the wire to be tested is calculated.

[0010] In one embodiment, the method further comprises:

[0011] Obtain reference signals corresponding to multiple directions of the wire to be tested, respectively, based on pre-acquired detection signals corresponding to multiple directions of the wire to be tested in an ice-free state;

[0012] Performing cross-correlation analysis on the detection signals corresponding to multiple directions of the wire to be tested and obtained in real time and the reference signals corresponding to multiple directions of the wire to be tested, to obtain the cross-correlation coefficients corresponding to multiple directions of the wire to be tested;

[0013] The mutual correlation coefficients corresponding to multiple directions of the tested wire are compared with the preset coefficient threshold to determine the icing state of the tested wire.

[0014] In one embodiment, determining the ice accumulation types corresponding to multiple directions of the wire to be tested according to multiple detection signals includes:

[0015] Feature extraction is performed on the detection signals corresponding to multiple directions of the tested wire, and the signal strength data, attenuation data and delay feature data corresponding to each detection signal are determined;

[0016] Determine the characteristic value to be measured corresponding to each detection signal according to the signal strength data, attenuation data and delay characteristic data corresponding to each detection signal;

[0017] The characteristic values ​​to be measured corresponding to each detection signal are compared with the characteristic data pre-stored in the ice accumulation type database to determine the ice accumulation types corresponding to the detection signals corresponding to multiple directions of the wire to be measured.

[0018] In one embodiment, determining the characteristic values ​​to be measured corresponding to each detection signal respectively according to the signal strength data, attenuation data and delay characteristic data respectively corresponding to each detection signal includes:

[0019] Extracting signal strength data corresponding to each detection signal;

[0020] Performing attenuation analysis on each detection signal, calculating the attenuation amount corresponding to each detection signal, and obtaining attenuation data corresponding to each detection signal;

[0021] Determine the propagation delay corresponding to each detection signal, and obtain the delay characteristic data corresponding to each detection signal;

[0022] The signal strength data, attenuation data and delay characteristic data corresponding to each detection signal are respectively calculated using a weighted average algorithm to obtain the characteristic values ​​to be measured corresponding to each detection signal respectively.

[0023] In one embodiment, the ice thickness corresponding to each direction of the wire to be tested is calculated based on the ice accumulation types corresponding to multiple directions of the wire to be tested, the propagation sound speed corresponding to each ice accumulation type, and the detection signals corresponding to multiple directions of the wire to be tested, including:

[0024] Determine the propagation speed of sound corresponding to each direction of the wire to be tested according to the ice accumulation types corresponding to multiple directions of the wire to be tested and the propagation speed of sound corresponding to each ice accumulation type;

[0025] Determine the target time data corresponding to each direction of the wire to be tested according to the detection signals corresponding to multiple directions of the wire to be tested;

[0026] According to the propagation sound velocity and target time data corresponding to each direction of the wire to be tested, the ice thickness corresponding to each direction of the wire to be tested is determined.

[0027] In one embodiment, the method further comprises:

[0028] Compare the ice thickness corresponding to each direction of the tested wire with the preset thickness threshold;

[0029] When the ice thickness corresponding to each direction of the tested wire is greater than the preset thickness threshold, a deicing strategy is dynamically generated according to the ice thickness corresponding to each direction of the tested wire, the ice accumulation type and the real-time climate conditions.

[0030] In a second aspect, the present application also provides a device for determining electric wire icing data, comprising:

[0031] An acquisition module, used to acquire detection signals corresponding to multiple directions of the wire to be tested in real time through detectors pre-set at multiple directions of the wire to be tested;

[0032] A determination module, used to determine the ice accumulation types corresponding to multiple directions of the wire to be tested according to multiple detection signals, and determine the propagation sound speed corresponding to each ice accumulation type;

[0033] The calculation module is used to calculate the ice thickness corresponding to each direction of the wire to be tested according to the ice accumulation types corresponding to multiple directions of the wire to be tested, the propagation sound speed corresponding to each ice accumulation type, and the detection signals corresponding to multiple directions of the wire to be tested.

[0034] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0035] By pre-setting detectors in multiple directions of the wire to be tested, detection signals corresponding to multiple directions of the wire to be tested are obtained in real time;

[0036] Determine the ice accumulation types corresponding to multiple directions of the wire to be tested according to the multiple detection signals, and determine the propagation sound speed corresponding to each ice accumulation type;

[0037] According to the ice accumulation types corresponding to multiple directions of the wire to be tested, the propagation sound speed corresponding to each ice accumulation type and the detection signals corresponding to multiple directions of the wire to be tested, the ice thickness corresponding to each direction of the wire to be tested is calculated.

[0038] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the following steps are implemented:

[0039] By pre-setting detectors in multiple directions of the wire to be tested, detection signals corresponding to multiple directions of the wire to be tested are obtained in real time;

[0040] Determine the ice accumulation types corresponding to multiple directions of the wire to be tested according to the multiple detection signals, and determine the propagation sound speed corresponding to each ice accumulation type;

[0041] According to the ice accumulation types corresponding to multiple directions of the wire to be tested, the propagation sound speed corresponding to each ice accumulation type and the detection signals corresponding to multiple directions of the wire to be tested, the ice thickness corresponding to each direction of the wire to be tested is calculated.

[0042] In a fifth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:

[0043] By pre-setting detectors in multiple directions of the wire to be tested, detection signals corresponding to multiple directions of the wire to be tested are obtained in real time;

[0044] Determine the ice accumulation types corresponding to multiple directions of the wire to be tested according to the multiple detection signals, and determine the propagation sound speed corresponding to each ice accumulation type;

[0045] According to the ice accumulation types corresponding to multiple directions of the wire to be tested, the propagation sound speed corresponding to each ice accumulation type and the detection signals corresponding to multiple directions of the wire to be tested, the ice thickness corresponding to each direction of the wire to be tested is calculated.

[0046] The above-mentioned method, device, computer equipment, storage medium and computer program product for determining the icing data of electric wires obtains detection signals corresponding to the multiple directions of the electric wires to be tested in real time by pre-setting detectors in multiple directions of the electric wires to be tested; determines the ice accumulation types corresponding to the multiple directions of the electric wires to be tested according to the multiple detection signals, and determines the propagation sound speed corresponding to each ice accumulation type; calculates the ice thickness corresponding to each direction of the electric wires to be tested according to the ice accumulation types corresponding to the multiple directions of the electric wires to be tested, the propagation sound speed corresponding to each ice accumulation type and the detection signals corresponding to the multiple directions of the electric wires to be tested. The use of this method can improve the accuracy of determining the icing data of electric wires. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments or the related technical descriptions are 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.

[0048] Figure 1 A diagram of an application environment of a method for determining electric wire icing data in one embodiment;

[0049] Figure 2 It is a flowchart of a method for determining electric wire icing data in one embodiment;

[0050] Figure 3 It is a schematic diagram of a process of calculating the ice thickness corresponding to each direction of the wire to be tested in one embodiment;

[0051] Figure 4 It is a structural schematic diagram of an ultrasonic detection system for measuring ice formation on electric wires in one embodiment;

[0052] Figure 5 A schematic diagram of an installation method of installing a sleeve on a wire to be tested in one embodiment;

[0053] Figure 6 is a schematic diagram of an ice cross-section structure of a wire to be tested in one embodiment;

[0054] Figure 7 is a schematic diagram of the structure of a detector in one embodiment;

[0055] Figure 8 It is a structural block diagram of a device for determining electric wire icing data in one embodiment;

[0056] Fig. 9 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment.

[0057] 401. Detector; 402. Mounting sleeve; 403. First power supply; 404. Second power supply; 405. Ultrasonic information acquisition device; 406. Wire icing data determination device; 407. Computer; 411. Wire to be tested; 422. Ice; 4012. Upper electrode layer; 4014. Piezoelectric layer; 4016. Lower electrode layer; 4018. Backing layer. DETAILED DESCRIPTION

[0058] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0059] The wire icing data determination method provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be integrated on the server 104, or it can be placed on the cloud or other network servers. The terminal 102 sends a wire icing data determination request to the server 104, and the server 104 receives the wire icing data determination request, and obtains the detection signals corresponding to the multiple directions of the wire to be tested in real time through the detectors pre-set in multiple directions of the wire to be tested; the ice accumulation types corresponding to the multiple directions of the wire to be tested are determined according to the multiple detection signals, and the propagation sound speed corresponding to each ice accumulation type is determined; according to the ice accumulation types corresponding to the multiple directions of the wire to be tested, the propagation sound speed corresponding to each ice accumulation type, and the detection signals corresponding to the multiple directions of the wire to be tested, the ice thickness corresponding to each direction of the wire to be tested is calculated. Among them, the terminal 102 can be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, Internet of Things devices and portable wearable devices, and the Internet of Things devices can be smart speakers, smart TVs, smart air conditioners, smart car-mounted devices, etc. The portable wearable device may be a smart watch, a smart bracelet, a head-mounted device, etc. The server 104 may be implemented as an independent server or a server cluster consisting of multiple servers.

[0060] In an exemplary embodiment, Figure 2 As shown, a method for determining electric wire icing data is provided, and the method is applied to Figure 1 The server in the example is used to illustrate, including the following steps 202 to 206. Among them:

[0061] Step 202 : acquiring detection signals corresponding to the multiple directions of the wire to be tested in real time through detectors pre-arranged in multiple directions of the wire to be tested.

[0062] The detector refers to a device or sensor for transmitting and receiving ultrasonic signals, and the detector may be an ultrasonic detector. The detection signal may include the ultrasonic signal emitted by the ultrasonic detector and the echo signal reflected back. The multiple directions of the wire to be tested refer to the direction directly above, directly below, to the left and to the right (or to the front and back direction, depending on the installation layout) of the wire to be tested. The multiple directions of the wire to be tested may also be oblique directions or directions set according to different levels of measurement.

[0063] In the actual application scenario of electric wires, since ice accumulation is usually unevenly distributed on the surface of the wires, and the thickness and type of ice accumulation on the surface of the wires are also different in different directions, it is necessary to comprehensively measure the ice accumulation on the surface of the wires to be tested from multiple directions to ensure that the ice accumulation state of the entire wire to be tested can be accurately monitored, and then determine accurate wire icing data. Exemplarily, multiple detectors are fixed at specified positions of the wires to be tested by installing sleeves, wherein the inner diameter of the installing sleeves matches the outer diameter of the wires to be tested, which can ensure that the detectors are firmly fixed and will not shift. The position of each detector is distributed in four directions of the wire to be tested, ensuring that real-time signal acquisition can be performed in all directions of the wire to be tested. Optionally, a detector is installed directly above, directly below, on the left and on the right of the wire to be tested, respectively. These detectors are used to obtain the detection signals corresponding to directly above, directly below, on the left and on the right of the wire to be tested in real time.

[0064] Step 204: determine the ice accumulation types corresponding to the multiple directions of the tested wire according to the multiple detection signals, and determine the propagation sound speed corresponding to each ice accumulation type.

[0065] The propagation sound velocity corresponding to each type of ice accumulation refers to the speed at which the ultrasonic signal propagates in different types of ice accumulation. The type of ice accumulation refers to the ice accumulation formed on the surface of the wire, which is divided into several different types according to its structure and properties. The density, crystal structure, and acoustic properties (such as the propagation speed and attenuation coefficient of ultrasonic waves) of different types of ice accumulation are different, and the ultrasonic propagation characteristics of different types of ice accumulation will also be different. That is, different types of ice accumulation directly affect the measurement of ice thickness and the judgment of de-icing methods. Therefore, before measuring the ice thickness, it is necessary to determine the ice accumulation type of the wire to be tested, so that the ice thickness can be determined more accurately. Among them, ice accumulation types include frost ice, wet ice, dry ice, and mixed ice (formed by a mixture of frost ice and wet ice, commonly found in environments with large temperature changes).

[0066] Exemplarily, the detection signals corresponding to the top, bottom, left and right sides of the wire to be tested are processed in real time, and the characteristic data corresponding to each detection signal is extracted. The ice accumulation type corresponding to each detection signal is identified according to the characteristic data corresponding to each detection signal and the pre-set ice accumulation type database, and then the ice accumulation type corresponding to multiple directions of the wire to be tested is determined. Since different types of ice accumulation (such as frost ice and wet ice) have different propagation sound velocities, the server matches the corresponding propagation sound velocity for each detection signal according to the ice accumulation type corresponding to each detection signal, so that the accurate propagation sound velocity is used when calculating the ice thickness, which can improve the accuracy of ice thickness measurement, and provide a more scientific basis for subsequent deicing strategies, effectively improve deicing efficiency and save energy.

[0067] Step 206 , according to ice accumulation types corresponding to multiple directions of the tested wire, propagation sound speeds corresponding to each ice accumulation type, and detection signals corresponding to multiple directions of the tested wire, calculate the ice thickness corresponding to each direction of the tested wire.

[0068] Exemplarily, detection signals corresponding to the upper, lower, left and right sides of the wire to be tested are obtained in real time. For each direction of the wire to be tested, the ice accumulation type corresponding to the direction is determined according to the detection signal corresponding to the direction, and the propagation sound velocity corresponding to the ice accumulation type is determined. The ice thickness corresponding to the direction of the wire to be tested is calculated according to the propagation sound velocity corresponding to the ice accumulation type and the detection signal corresponding to the direction.

[0069] Since ice accumulation is usually unevenly distributed on the surface of the wire, and the thickness and type of ice accumulation on the surface of the wire are also different in different directions, it is necessary to comprehensively measure the ice accumulation on the surface of the wire to be tested from multiple directions. In the above-mentioned method for determining the ice accumulation data of the wire, by setting up multiple detectors and collecting detection signals in various directions, it can ensure that the ice accumulation on the surface of the wire to be tested is comprehensively detected from different angles, which can avoid the limitations of single-direction measurement, and obtain more comprehensive and reliable detection signals on the surface of the wire to be tested, thereby improving the reliability and accuracy of the determination of the ice accumulation data of the wire to be tested. Before measuring the ice thickness, the ice accumulation types corresponding to multiple directions of the wire to be tested are determined according to multiple detection signals, and the corresponding propagation sound velocity is matched for each detection signal according to the ice accumulation type corresponding to each detection signal, so that the accurate propagation sound velocity is used when calculating the ice thickness, which can improve the accuracy and reliability of ice thickness measurement, and can also provide a more scientific basis for subsequent deicing strategies, effectively improve deicing efficiency and save energy.

[0070] In an exemplary embodiment, ice accumulation types corresponding to multiple directions of a wire to be tested are determined based on multiple detection signals, including: extracting features from the detection signals corresponding to multiple directions of the wire to be tested, and determining signal strength data, attenuation data, and delay characteristic data corresponding to each detection signal; determining a characteristic value to be tested corresponding to each detection signal based on the signal strength data, attenuation data, and delay characteristic data corresponding to each detection signal; and comparing the characteristic value to be tested corresponding to each detection signal with characteristic data pre-stored in an ice accumulation type database to determine the ice accumulation types corresponding to the detection signals corresponding to multiple directions of the wire to be tested.

[0071] The ice accretion type database refers to a database containing the characteristic data of different ice accretion types and their corresponding relationships. These characteristic data are obtained through a large number of experiments and studies. Each ice accretion type (frost ice, wet ice, dry ice, etc.) behaves differently during the propagation of the detection signal, that is, each ice accretion type corresponds to a characteristic data.

[0072] When the ultrasonic signal emitted by the detector propagates in the medium, its signal strength will change with the increase of propagation distance and the difference of medium (ice accumulation type), that is, the signal strength data of the detection signal is different in different ice accumulation types. Different ice accumulation types will attenuate the detection signal to different degrees. The ice layer with higher density (such as wet ice) will attenuate the signal more, while the ice layer with lower density (such as frost ice) will attenuate less. Different types of ice accumulation will have different effects on the propagation delay of the detection signal.

[0073] For each direction of the wire to be tested, the signal strength data, attenuation data and delay characteristic data of the detection signal corresponding to the direction are determined, and the characteristic value to be measured of the detection signal is determined according to the signal strength data, attenuation data and delay characteristic data corresponding to the detection signal. The characteristic value to be measured of the detection signal is compared with the characteristic data in the ice accumulation type database, and the ice accumulation type corresponding to the detection signal is determined according to the comparison result, that is, the ice accumulation type corresponding to the direction of the wire to be tested is determined.

[0074] In an exemplary embodiment, the characteristic values ​​to be measured corresponding to each detection signal are determined based on the signal strength data, attenuation data and delay characteristic data corresponding to each detection signal, including: extracting the signal strength data corresponding to each detection signal; performing attenuation analysis on each detection signal, calculating the attenuation amount corresponding to each detection signal, and obtaining the attenuation data corresponding to each detection signal; determining the propagation delay corresponding to each detection signal, and obtaining the delay characteristic data corresponding to each detection signal; using a weighted average algorithm on the signal strength data, attenuation data and delay characteristic data corresponding to each detection signal, to calculate the characteristic values ​​to be measured corresponding to each detection signal.

[0075] By calculating the amplitude of the echo signal of the ultrasonic signal emitted by each detector, the signal strength data of the detection signal corresponding to each detector can be determined. By comparing the amplitude difference between the transmitted signal and the received echo signal, the attenuation data of the detection signal corresponding to each detector can be determined. By measuring the time difference from the ultrasonic signal emitted by the ultrasonic detector to the received echo signal, the delay characteristic data of the detection signal corresponding to each detector can be obtained. For each direction of the wire to be tested, the signal strength data, attenuation data and delay characteristic data of the detection signal corresponding to the direction are weighted averaged to obtain the characteristic value to be tested of the detection signal corresponding to the direction. Among them, the weights of the signal strength data, attenuation data and delay characteristic data of the detection signal are set according to their influence on the final result.

[0076] In this embodiment, feature extraction is performed on the detection signals corresponding to multiple directions of the wire to be tested, so that different types of ice accumulation on the wire surface can be more accurately identified. Different types of ice accumulation (such as frost ice, wet ice, etc.) will have different effects on the propagation characteristics of the detection signal, so the extraction and comparison of multi-dimensional features can effectively improve the recognition accuracy of ice accumulation types.

[0077] In an exemplary embodiment, Figure 3 As shown, according to the ice accumulation types corresponding to multiple directions of the wire to be tested, the propagation sound speed corresponding to each ice accumulation type, and the detection signals corresponding to multiple directions of the wire to be tested, the ice thickness corresponding to each direction of the wire to be tested is calculated, including steps 302 to 306. Among them:

[0078] Step 302 , determining the propagation sound speed corresponding to each direction of the wire to be tested according to the ice accretion types corresponding to multiple directions of the wire to be tested and the propagation sound speed corresponding to each ice accretion type.

[0079] Step 304 , determining target time data corresponding to each direction of the wire to be tested according to the detection signals corresponding to multiple directions of the wire to be tested.

[0080] Step 306, determining the ice thickness corresponding to each direction of the wire to be tested according to the propagation sound velocity and target time data corresponding to each direction of the wire to be tested.

[0081] According to the ice accretion types corresponding to the multiple directions of the wire to be tested, the propagation sound velocities corresponding to the different ice accretion types are determined.

[0082] For each direction of the wire to be tested, determine the ice accretion type and the propagation sound velocity corresponding to the ice accretion type in the direction, and determine the detection signal corresponding to the direction to determine the target time data of the detection signal, wherein the target time data of the detection signal refers to the time data experienced when the ultrasonic signal is emitted from the detector, passes through the ice layer, and is reflected back and received by the detector. According to the propagation sound velocity of the ice accretion type corresponding to the direction and the target time data of the detection signal corresponding to the direction, the ice thickness corresponding to the direction is calculated, and the calculation formula is as follows:

[0083]

[0084] in, In order to calculate the ice thickness corresponding to the direction of the wire to be tested, determine the direction corresponding to, is the sound velocity and propagation speed corresponding to the ice accumulation type in this direction, It is the target time data of the detection signal corresponding to this direction.

[0085] In this embodiment, the propagation sound velocity and target time data corresponding to each direction of the wire to be tested are used to accurately calculate the ice thickness corresponding to each direction of the wire to be tested, which can ensure the accuracy of the measurement result. The propagation sound velocity in the calculation formula is dynamically adjusted according to different ice accumulation types, which effectively solves the systematic error caused by the fixed sound velocity assumption and ensures the accuracy of ice thickness calculation.

[0086] In an exemplary embodiment, the method also includes: obtaining reference signals corresponding to multiple directions of the wire to be tested based on pre-acquired detection signals corresponding to multiple directions of the wire to be tested in an ice-free state; performing cross-correlation analysis on the detection signals corresponding to multiple directions of the wire to be tested acquired in real time and the reference signals corresponding to multiple directions of the wire to be tested to obtain cross-correlation coefficients corresponding to multiple directions of the wire to be tested; comparing the cross-correlation coefficients corresponding to multiple directions of the wire to be tested with a preset coefficient threshold to determine the icing state of the wire to be tested.

[0087] Exemplarily, based on the detection signals corresponding to multiple directions of the wire to be tested in the ice-free state obtained in advance, reference signals corresponding to multiple directions of the wire to be tested are obtained, these reference signals are used as reference data in the ice-free state, and the detection signals corresponding to multiple directions of the wire to be tested are obtained in real time. For each direction of the wire to be tested, the reference signal corresponding to the direction is cross-correlated with the real-time detection signal corresponding to the direction, and the cross-correlation coefficient between the reference signal corresponding to the direction and the real-time detection signal corresponding to the direction is calculated, and the cross-correlation coefficient is used to indicate the degree of similarity between the real-time detection signal corresponding to the direction and the reference signal corresponding to the direction.

[0088] The mutual correlation coefficient between the reference signal corresponding to the direction and the real-time detection signal corresponding to the direction is compared with the preset coefficient threshold. When the mutual correlation coefficient is lower than the preset coefficient threshold, it means that the similarity between the real-time detection signal in the direction and the reference signal corresponding to the direction is reduced, so that it can be judged that ice has appeared on the surface of the wire to be tested in this direction, that is, the ice state of the surface of the wire to be tested in this direction is an ice accumulation state.

[0089] After determining that there is ice on the surface of the wire to be tested, the server generates and outputs an ice accumulation warning signal, which can be transmitted to the power grid monitoring system or related control terminals through the communication network to remind maintenance personnel or automation systems to take preventive measures in time. In addition, the ice accumulation warning signal can carry specific ice information, including the direction of ice, ice thickness and detection time, which is convenient for quickly locating the ice area and executing the next de-icing decision. Through the process of real-time monitoring, rapid warning and information output, the response speed and safety of the power transmission system can be effectively improved.

[0090] In this embodiment, by acquiring the detection signals corresponding to multiple directions of the wire to be tested in real time, the icing state on the wire to be tested is monitored in real time, especially in the early stage of icing, and an early warning signal can be issued in time to prevent the icing situation from worsening. By judging whether the wire to be tested is frozen in advance and taking preventive measures (such as deicing operations), the deicing efficiency can be improved, and the risk of power failure or line damage caused by ice accumulation can be effectively reduced, ensuring the continuity and stability of power supply. At the same time, this embodiment can automatically monitor the icing state of the wire to be tested in all directions, generate early warning signals in real time and perform deicing operations, reduce manual intervention, and operation and maintenance personnel can view the icing state of the wire to be tested in real time through a computer system or mobile device, greatly improving the operation and maintenance efficiency.

[0091] In an exemplary embodiment, the method also includes: comparing the ice thickness corresponding to each direction of the wire to be tested with a preset thickness threshold; when the ice thickness corresponding to each direction of the wire to be tested is greater than the preset thickness threshold, dynamically generating a deicing strategy based on the ice thickness corresponding to each direction of the wire to be tested, the ice accumulation type and real-time climate conditions.

[0092] Optionally, the ice thickness in each direction of the wire to be tested is compared with a preset thickness threshold to assess whether the icing situation has reached a level that affects the safe operation of the power system. Specifically, when the ice thickness in each direction of the wire to be tested exceeds the preset thickness threshold, the server dynamically generates a set of optimized deicing strategies based on the ice thickness measured in each direction of the wire to be tested, the type of ice accumulation corresponding to each direction of the wire to be tested (such as dry ice, wet ice, etc.), and real-time climate conditions (such as temperature, humidity, wind speed, etc.). The deicing strategy will use different deicing methods (such as heating, current flow through deicing, or mechanical vibration, etc.) based on the current ice accumulation situation and environmental conditions to ensure the safety and stability of the wire. The dynamically generated deicing strategy can respond to environmental changes in real time, ensure the reliable operation of the power system in extreme climates, and effectively reduce the risk of accidents caused by icing.

[0093] In this embodiment, by comparing the ice thickness in each direction of the wire to be tested with the preset thickness threshold, the icing state of the wire can be monitored in real time, the accuracy of the deicing operation can be ensured, and resource waste can be avoided. By dynamically generating a deicing strategy based on the ice thickness, ice accumulation type and real-time climate conditions, the deicing measures can be adaptively adjusted according to different environmental changes. For example, the physical properties of dry ice and wet ice are different, and the same deicing means may have different effects. Considering the ice accumulation type can ensure the optimization of the deicing strategy. At the same time, the dynamically generated deicing strategy takes into account a variety of factors (such as ice accumulation type, climate conditions, etc.) to ensure the efficiency of the deicing operation, thereby avoiding excessive consumption of energy or materials and achieving energy-saving effects. At the same time, according to the ice thickness, ice accumulation type and real-time climate conditions corresponding to each direction of the wire to be tested, a reasonable deicing strategy is determined, which can improve the deicing efficiency, help reduce damage to power facilities, and extend the service life of equipment, thereby having certain environmental benefits.

[0094] In another embodiment, there is provided a method comprising:

[0095] By pre-setting detectors in multiple directions of the wire to be tested, detection signals corresponding to multiple directions of the wire to be tested are obtained in real time;

[0096] Feature extraction is performed on the detection signals corresponding to multiple directions of the tested wires, and the signal strength data corresponding to each detection signal is extracted; attenuation analysis is performed on each detection signal, and the attenuation corresponding to each detection signal is calculated to obtain the attenuation data corresponding to each detection signal; the propagation delay corresponding to each detection signal is determined to obtain the delay feature data corresponding to each detection signal; the signal strength data, attenuation data and delay feature data corresponding to each detection signal are respectively calculated using a weighted average algorithm to obtain the characteristic value to be measured corresponding to each detection signal.

[0097] The characteristic values ​​to be measured corresponding to each detection signal are compared with the characteristic data pre-stored in the ice accumulation type database to determine the ice accumulation types corresponding to the detection signals corresponding to multiple directions of the wire to be tested, and the propagation sound speed corresponding to each ice accumulation type is determined.

[0098] According to the ice accumulation types corresponding to multiple directions of the wire to be tested and the propagation sound speed corresponding to each ice accumulation type, the propagation sound speed corresponding to each direction of the wire to be tested is determined; according to the detection signals corresponding to multiple directions of the wire to be tested, the target time data corresponding to each direction of the wire to be tested is determined; according to the propagation sound speed and target time data corresponding to each direction of the wire to be tested, the ice thickness corresponding to each direction of the wire to be tested is determined.

[0099] Based on the pre-acquired detection signals corresponding to multiple directions of the wire to be tested in an ice-free state, reference signals corresponding to multiple directions of the wire to be tested are obtained; cross-correlation analysis is performed on the detection signals corresponding to multiple directions of the wire to be tested obtained in real time and the reference signals corresponding to multiple directions of the wire to be tested to obtain cross-correlation coefficients corresponding to multiple directions of the wire to be tested; the cross-correlation coefficients corresponding to multiple directions of the wire to be tested are compared with a preset coefficient threshold to determine the icing state of the wire to be tested.

[0100] The ice thickness corresponding to each direction of the wire to be tested is compared with the preset thickness threshold; when the ice thickness corresponding to each direction of the wire to be tested is greater than the preset thickness threshold, a deicing strategy is dynamically generated according to the ice thickness corresponding to each direction of the wire to be tested, the ice accumulation type and the real-time climate conditions.

[0101] In this embodiment, feature extraction is performed on the detection signals corresponding to multiple directions of the wire to be tested, so that different types of ice accumulation on the wire surface can be more accurately identified. Different types of ice accumulation (such as frost ice, wet ice, etc.) will have different effects on the propagation characteristics of the detection signal, so the extraction and comparison of such multi-dimensional features can effectively improve the recognition accuracy of ice accumulation types. Through the propagation sound velocity and target time data corresponding to each direction of the wire to be tested, the ice thickness corresponding to each direction of the wire to be tested is accurately calculated, which can ensure the accuracy of the measurement results. The propagation sound velocity in the calculation formula is dynamically adjusted according to different ice accumulation types, which effectively solves the systematic error caused by the fixed sound velocity assumption and ensures the accuracy of ice thickness calculation. By acquiring the detection signals corresponding to multiple directions of the wire to be tested in real time, the ice state on the wire to be tested is monitored in real time, especially in the early stage of ice formation, and an early warning signal can be issued in time to prevent the ice situation from deteriorating. By judging whether the wire to be tested is iced in advance and taking preventive measures (such as deicing operations), the deicing efficiency can be improved.

[0102] It should be understood that, although the steps in the flowcharts involved in the above embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0103] Based on the same inventive concept, the present application also provides an ultrasonic detection system for measuring electric wire icing, see Figure 4 , Figure 4 The schematic diagram of the structure of the ultrasonic detection system for measuring the ice formation of electric wires is shown, which includes: a detector 401, a mounting sleeve 402, a first power supply 403, a second power supply 404, an ultrasonic information acquisition device 405, a wire ice formation data determination device 406 and a computer 407.

[0104] As the core of the ultrasonic detection system for measuring the ice formation of the wire, the wire ice formation data determination device 406 is powered by the second power supply 404. When the wire ice formation data determination device 406 is working, it is mainly divided into pre-icing signal preprocessing, detection process waveform processing and characteristic parameter extraction and calculation. By processing and analyzing the ultrasonic information acquisition device 405, the real-time output of the ice thickness of the wire 411 to be tested is realized on the computer 407. When there is no attachment above the detector 401, the difference in reflection coefficient between the detection signal at the air interface and the detection signal at the ice accumulation interface can be used to determine whether the surface of the wire 411 to be tested is iced, so as to achieve an ice accumulation warning effect. The ice accumulation type is determined according to the difference in attenuation coefficients of different ice accumulation types in the ice accumulation, so as to achieve the effect of identifying the ice accumulation type of the wire 411 to be tested.

[0105] Among them, see Figure 5 and Figure 6 , Figure 5 Schematic diagram of the installation method of the installation sleeve 402 on the wire 411 to be tested, Figure 6Schematic diagram of the cross-sectional structure of ice 422 on the wire 411 to be tested. The material of the mounting sleeve 402 is rubber. The fitting mode between the mounting sleeve 402 and the wire 411 to be tested is interference fit. The mounting sleeve 402 cannot rotate after being mounted on the designated installation position of the wire 411 to be tested. The detector 401 is embedded in the four directions of the mounting sleeve 402. Optionally, the four detectors 401 can use different frequencies to facilitate more accurate measurement of the thickness of ice 422 on the surface of the wire 411 to be tested. The inner diameter of the mounting sleeve 402 is determined based on the outer diameter of the wire 411 to be tested. The thickness of the mounting sleeve 402 is consistent with the thickness of the detector 401. The outer dimensions and thickness of the four detectors 401 are consistent. The outer shape of the detector 401 is circular. The diameter of the detector 401 can be set to 5 mm, and the thickness can be set to 2.2 mm. The detector 401 is connected to the ultrasonic information acquisition device 405 via a radio frequency line. The detector 401 is used to transmit and receive ultrasonic pulse signals, and transmit the received original ultrasonic pulse signals to the ultrasonic information acquisition device 405; the ultrasonic information acquisition device 405 processes and analyzes the original ultrasonic pulse signals, and the processing and analysis results are further analyzed by the wire icing data determination device 406 to obtain ice accumulation warning signals and ice accumulation types, and can generate ice 422 thickness data.

[0106] For example, Figure 7 The diagram shows the structure of the detector 401. The detector 401 adopts a stacked structure design, which includes an upper electrode layer 4012, a piezoelectric layer 4014, a lower electrode layer 4016 and a backing layer 4018 from top to bottom, wherein the upper electrode layer 4012 and the lower electrode layer 4016 of the detector 401 are respectively covered on the upper and lower surfaces of the piezoelectric layer 4014, and are used to realize the input and output of electrical signals, ensuring that the piezoelectric layer 4014 of the detector 401 can emit ultrasonic pulse signals under the stimulation of external electrical signals, and generate electrical signals by receiving ultrasonic pulse signals; the piezoelectric layer 4014 of the detector 401 is located at the core position of the detector, and is made of PZ-39 piezoelectric material, and has good piezoelectric properties and signal sensitivity; the backing layer 4018 of the detector 401 is close to the lower electrode layer 4016, and uses silver paste as the main conductive material, which can provide mechanical support, and can also absorb redundant reflected signals, reduce interference, and improve signal clarity and resolution. The detector 401 is more suitable for determining the ice data of the wire 411 to be tested, and ensures the miniaturization of the detection structure. The first power supply 403 is used to supply power to the ultrasonic information acquisition device 405 .

[0107] In an exemplary embodiment, Figure 8 As shown, it is a structural schematic diagram of the wire icing data determination device 406, including: an acquisition module 4062, a determination module 4064 and a calculation module 4066, wherein:

[0108] An acquisition module 4062 is used to acquire detection signals corresponding to multiple directions of the wire 411 to be tested in real time through detectors 401 pre-set at multiple directions of the wire 411 to be tested;

[0109] A determination module 4064 is used to determine the ice accumulation types corresponding to multiple directions of the tested wire 411 according to the multiple detection signals, and determine the propagation sound speed corresponding to each ice accumulation type;

[0110] The calculation module 4066 is used to calculate the thickness of the ice 422 corresponding to each direction of the wire 411 to be tested according to the ice accumulation types corresponding to multiple directions of the wire 411 to be tested, the propagation sound speed corresponding to each ice accumulation type, and the detection signals corresponding to multiple directions of the wire 411 to be tested.

[0111] In an exemplary embodiment, the wire icing data determination device 406 also includes: an icing state judgment module, which is used to obtain reference signals corresponding to multiple directions of the wire 411 to be tested based on pre-acquired detection signals corresponding to multiple directions of the wire 411 to be tested in an ice-free state; perform cross-correlation analysis on the detection signals corresponding to multiple directions of the wire 411 to be tested obtained in real time and the reference signals corresponding to multiple directions of the wire 411 to be tested, to obtain cross-correlation coefficients corresponding to multiple directions of the wire 411 to be tested; compare the cross-correlation coefficients corresponding to multiple directions of the wire 411 to be tested with a preset coefficient threshold to determine the state of icing 422 of the wire 411 to be tested.

[0112] In an exemplary embodiment, the determination module 4064 is also used to extract features from the detection signals corresponding to multiple directions of the tested wire 411, and determine the signal strength data, attenuation data and delay characteristic data corresponding to each detection signal; determine the characteristic value to be measured corresponding to each detection signal according to the signal strength data, attenuation data and delay characteristic data corresponding to each detection signal; compare the characteristic value to be measured corresponding to each detection signal with the characteristic data pre-stored in the ice accumulation type database, and determine the ice accumulation type corresponding to the detection signals corresponding to multiple directions of the tested wire.

[0113] In an exemplary embodiment, the determination module 4064 is also used to extract the signal strength data corresponding to each detection signal; perform attenuation analysis on each detection signal, calculate the attenuation amount corresponding to each detection signal, and obtain the attenuation data corresponding to each detection signal; determine the propagation delay corresponding to each detection signal, and obtain the delay characteristic data corresponding to each detection signal; use a weighted average algorithm to calculate the signal strength data, attenuation data and delay characteristic data corresponding to each detection signal to obtain the characteristic value to be measured corresponding to each detection signal.

[0114] In an exemplary embodiment, the calculation module 4066 is also used to determine the propagation sound speed corresponding to each direction of the wire to be tested 411 according to the ice accumulation types corresponding to multiple directions of the wire to be tested 411 and the propagation sound speed corresponding to each ice accumulation type; determine the target time data corresponding to each direction of the wire to be tested 411 according to the detection signals corresponding to multiple directions of the wire to be tested 411; determine the thickness of the ice 422 corresponding to each direction of the wire to be tested 411 according to the propagation sound speed and target time data corresponding to each direction of the wire to be tested 411.

[0115] In an exemplary embodiment, the wire icing data determining device 406 further includes:

[0116] A generation module is used to compare the thickness of the ice 422 corresponding to each direction of the tested wire 411 with a preset thickness threshold; when the thickness of the ice 422 corresponding to each direction of the tested wire 411 is greater than the preset thickness threshold, a deicing strategy is dynamically generated according to the thickness of the ice 422 corresponding to each direction of the tested wire 411, the ice accumulation type and the real-time climate conditions.

[0117] The ultrasonic detection system for measuring ice on the wires mentioned above can solve the problem that when the ice thickness of the wire to be tested is determined, it is impossible to ensure that the mechanical structure characteristics of the wire remain unchanged and the different ice thicknesses and ice accumulation types in four directions can be measured simultaneously. The use of detectors for signal measurement can effectively reduce the energy consumption required for de-icing operations. The use of ice accumulation warning signals can solve the problem of how to determine whether ice accumulation has begun to occur on the wire to be tested. The use of detection signals to identify the type of ice accumulation can save the staff from having to determine how to de-ice, thereby saving manpower and time, improving the efficiency of de-icing, and thereby reducing the total energy consumption of de-icing operations.

[0118] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Fig. 9As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store detection signal data. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for determining wire icing data is implemented.

[0119] Those skilled in the art will understand that Fig. 9 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0120] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0121] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0122] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0123] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0124] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0125] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0126] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for determining electric wire icing data, characterized in that: The method comprises: By pre-setting detectors in multiple directions of the wire to be tested, detection signals corresponding to multiple directions of the wire to be tested are obtained in real time; Determine the ice accumulation types corresponding to multiple directions of the wire to be tested according to the multiple detection signals, and determine the propagation sound speed corresponding to each ice accumulation type; According to ice accumulation types corresponding to multiple directions of the wire to be tested, propagation sound velocities corresponding to each ice accumulation type, and detection signals corresponding to multiple directions of the wire to be tested, the ice thickness corresponding to each direction of the wire to be tested is calculated.

2. The method according to claim 1, characterized in that The method further comprises: Obtain reference signals corresponding to multiple directions of the wire to be tested, respectively, based on pre-acquired detection signals corresponding to multiple directions of the wire to be tested in an ice-free state; Performing cross-correlation analysis on the detection signals corresponding to the multiple directions of the wire to be tested and obtained in real time and the reference signals corresponding to the multiple directions of the wire to be tested, to obtain the cross-correlation coefficients corresponding to the multiple directions of the wire to be tested; The mutual correlation coefficients corresponding to multiple directions of the wire to be tested are compared with a preset coefficient threshold to determine the icing state of the wire to be tested.

3. The method according to claim 1, characterized in that The step of determining the ice accumulation types corresponding to the multiple directions of the wire to be tested according to the multiple detection signals includes: Extract features of detection signals corresponding to multiple directions of the tested wire, and determine signal strength data, attenuation data and delay feature data corresponding to each of the detection signals; Determine the characteristic value to be measured corresponding to each of the detection signals according to the signal strength data, attenuation data and delay characteristic data corresponding to each of the detection signals; The characteristic values ​​to be measured corresponding to each of the detection signals are compared with the characteristic data pre-stored in the ice accumulation type database to determine the ice accumulation types corresponding to the detection signals corresponding to multiple directions of the wire to be measured.

4. The method according to claim 3, characterized in that Determining the characteristic values ​​to be measured corresponding to each of the detection signals respectively according to the signal strength data, attenuation data and delay characteristic data respectively corresponding to each of the detection signals includes: Extracting signal strength data corresponding to each of the detection signals; Performing attenuation analysis on each of the detection signals, calculating the attenuation amount corresponding to each of the detection signals, and obtaining attenuation data corresponding to each of the detection signals; Determine the propagation delay corresponding to each of the detection signals, and obtain the delay characteristic data corresponding to each of the detection signals; A weighted average algorithm is used to calculate the signal strength data, attenuation data and delay characteristic data corresponding to each of the detection signals to obtain the characteristic values ​​to be measured corresponding to each of the detection signals.

5. The method according to claim 1, characterized in that The method of calculating the ice thickness corresponding to each direction of the wire to be tested according to the ice accumulation types corresponding to multiple directions of the wire to be tested, the propagation sound speed corresponding to each ice accumulation type, and the detection signals corresponding to multiple directions of the wire to be tested, comprises: Determine the propagation speed of sound corresponding to each direction of the wire to be tested according to the ice accumulation types corresponding to multiple directions of the wire to be tested and the propagation speed of sound corresponding to each ice accumulation type; Determine the target time data corresponding to each direction of the wire to be tested according to the detection signals corresponding to multiple directions of the wire to be tested; The ice thickness corresponding to each direction of the wire to be tested is determined according to the propagation sound velocity and target time data corresponding to each direction of the wire to be tested.

6. The method according to claim 1, characterized in that The method further comprises: Comparing the ice thickness corresponding to each direction of the tested wire with a preset thickness threshold; When the ice thickness corresponding to each direction of the tested wire is greater than the preset thickness threshold, a deicing strategy is dynamically generated according to the ice thickness corresponding to each direction of the tested wire, the ice accumulation type and the real-time climate conditions.

7. A device for determining electric wire icing data, characterized in that: The device comprises: An acquisition module, used to acquire detection signals corresponding to multiple directions of the wire to be tested in real time through detectors pre-set at multiple directions of the wire to be tested; A determination module, configured to determine the ice accumulation types corresponding to the multiple directions of the wire to be tested according to the multiple detection signals, and determine the propagation sound speed corresponding to each ice accumulation type; The calculation module is used to calculate the ice thickness corresponding to each direction of the wire to be tested according to the ice accumulation types corresponding to multiple directions of the wire to be tested, the propagation sound speed corresponding to each ice accumulation type, and the detection signals corresponding to multiple directions of the wire to be tested.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

Images