Cable safety early warning system based on voiceprint recognition

Abstract

The invention relates to the technical field of cable safety early warning, in particular to a cable safety early warning system based on voiceprint recognition, which comprises a monitoring module, a data storage module, a data processing module, an analysis module and an alarm module. The data processing module performs fitting calculation on a burying collapse tendency parameter through a predetermined formula, determines a processing mode for the loudness acquired by the voiceprint sensor through the burying collapse tendency parameter, and determines the change condition of the loudness and the audio complexity in detail when the burying area of the cable is in a burying strong collapse tendency category; whether the alarm module is controlled to send out alarm information is comprehensively determined, and the cable safety monitoring efficiency is improved while the cable alarm accuracy is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of cable safety early warning, and in particular to a cable safety early warning system based on voiceprint recognition. Background Art

[0002] With the continuous upgrading and reconstruction of cities, the scope of construction is getting wider and wider. There are hidden dangers of external damage to cables at construction sites and engineering sites. Traditional monitoring methods to prevent external damage have certain limitations and cannot identify abnormal construction conditions in time.

[0003] Chinese Patent Publication No.: CN105528841B, discloses an anti-external force damage warning system for power cables, the system includes an external force damage monitoring device, a transmission device, an early warning monitoring platform and a warning device. The external force damage monitoring device is set in the area where the power cable is located, and is used to monitor the vibration and noise of the area, and output external force damage early warning information and environmental geographic information of the area; the transmission device is used to transmit the external force damage early warning information and environmental geographic information to the early warning monitoring platform through remote communication; the early warning monitoring platform is used to send a warning command to the transmission device according to the external force damage early warning information sent by the transmission device; the transmission device outputs the warning command to the warning device set in the area; the warning device sends an audible and visual warning signal according to the warning command;

[0004] However, the prior art still has the following problems: in the prior art, when monitoring and alarming cables, whether there is a risk of cable damage is determined only based on the amplitude of the sound, which affects the accuracy of the alarm warning and further affects the monitoring efficiency of the cable. Summary of the invention

[0005] To this end, the present invention provides a cable safety warning system based on voiceprint recognition, which is used to overcome the problem in the prior art that when monitoring and alarming cables, whether there is a risk of cable damage is determined only based on the amplitude of the sound, which affects the accuracy of the alarm and the efficiency of cable monitoring.

[0006] To achieve the above object, the present invention provides a cable safety early warning system based on voiceprint recognition, comprising:

[0007] A monitoring module, comprising a voiceprint sensor located on the surface of the cable for obtaining sound characteristics, the sound characteristics including loudness and frequency, and a humidity sensor disposed adjacent to the voiceprint sensor for obtaining humidity of the cable environment;

[0008] A data storage module, which includes a plurality of memories connected to each voiceprint sensor, and a single memory stores the soil density of the location where the voiceprint sensor is buried;

[0009] A data processing module, which is connected to the monitoring module and the data storage module respectively, and is used to determine the burial collapse tendency parameter according to the cable environment humidity and soil density under the condition that the voiceprint sensor obtains the sound characteristics;

[0010] An analysis module, which is respectively connected to the monitoring module, the data storage module and the data processing module, is used to classify the burial collapse tendency category based on the burial collapse tendency parameter, and determine whether the cable has a safety abnormality based on the burial collapse tendency category, including:

[0011] Adjust the sound amplitude alarm threshold based on the burial collapse tendency parameter, issue an alarm message for the existence of safety anomalies in the cable based on the loudness obtained by the voiceprint sensor, or determine the distance change tendency based on the loudness time domain change curve, and determine whether to issue an alarm message for the existence of safety anomalies in the cable based on the distance change tendency and the audio frequency complexity;

[0012] Or, continuously using a predetermined sound amplitude alarm threshold to determine whether to issue an alarm message regarding a safety anomaly in the cable;

[0013] The alarm module is connected to the analysis module and is used to issue an alarm when the analysis module issues an instruction for alarm information indicating that there is a safety anomaly in the cable.

[0014] Furthermore, the data processing module is used to calculate the burial collapse tendency parameter according to formula (1):

[0015]

[0016] Where Y is the burial collapse tendency parameter, H is the cable environment humidity, D is the soil density, α is the humidity weight coefficient, β is the soil weight coefficient, H0 is the mean of the cable environment humidity obtained by each humidity sensor, and D0 is the mean of the soil density at the buried location of each voiceprint sensor.

[0017] Furthermore, the analysis module is used to classify the burial collapse tendency categories based on the burial collapse tendency parameters, including:

[0018] If the burial collapse tendency parameter is greater than the preset burial collapse tendency parameter, the cable burial area is classified as a burial strong collapse tendency category;

[0019] If the burial collapse tendency parameter is less than or equal to the preset burial collapse tendency parameter, the cable burial area is classified as a burial weak collapse tendency category.

[0020] Furthermore, the analysis module is used to determine whether there is a safety anomaly in the cable based on the burial collapse tendency category, including:

[0021] If the cable burial area is classified as a strong burial collapse tendency category, the sound amplitude alarm threshold is adjusted based on the burial collapse tendency parameter, and based on the loudness obtained by the voiceprint sensor, it is determined whether to issue an alarm message for the existence of a safety anomaly in the cable, or based on the loudness time domain change curve, the distance change tendency is determined, and based on the distance change tendency and the audio frequency complexity, it is determined whether to issue an alarm message for the existence of a safety anomaly in the cable;

[0022] If the cable burial area is of the buried weak collapse tendency category, the predetermined sound amplitude alarm threshold is continuously used to determine whether to issue an alarm message regarding the safety anomaly of the cable.

[0023] Furthermore, the analysis module is used to adjust the sound amplitude alarm threshold based on the burial collapse tendency parameter, wherein:

[0024] The sound amplitude alarm threshold determined based on the burial collapse tendency parameter is proportional to the burial collapse tendency parameter.

[0025] Furthermore, the analysis module is used to determine whether to issue an alarm message indicating that the cable has a safety anomaly based on the loudness obtained by the voiceprint sensor, including:

[0026] If the loudness acquired by the voiceprint sensor is less than or equal to the adjusted sound amplitude alarm threshold, the distance change tendency is determined based on the loudness time domain change curve, and whether the cable has a safety anomaly is determined based on the distance change tendency;

[0027] If the loudness obtained by the voiceprint sensor is greater than the adjusted sound amplitude alarm threshold, it is determined that an alarm message is issued regarding the safety anomaly of the cable.

[0028] Furthermore, the analysis module is used to determine the distance change tendency based on the loudness time domain change curve, including:

[0029] Drawing a loudness time domain variation curve based on the obtained loudnesses;

[0030] Get the slope of the time domain change curve at the current time node;

[0031] If the slope is less than or equal to the predetermined slope, the current sound feature is determined as a long-distance change tendency;

[0032] If the slope is greater than a predetermined slope, the current sound feature is determined as a close-range change tendency;

[0033] The analysis module is used to determine whether to issue an alarm message for a safety anomaly of the cable based on the distance change tendency, including:

[0034] If the current sound feature is determined to have a tendency to change over a long distance, it is determined whether to issue an alarm message indicating that the cable has a safety anomaly based on the complexity of the sound frequency;

[0035] If the current sound feature is determined to have a tendency to change at a short distance, an alarm message is issued regarding the existence of a safety anomaly in the cable.

[0036] Furthermore, the analysis module is used to obtain the audio complexity, including:

[0037] The frequencies of the sound features acquired by the voiceprint sensor are read, and the frequency types of different frequencies counted are determined as the audio complexity.

[0038] Furthermore, the analysis module is used to determine whether to issue an alarm message indicating that the cable has a safety anomaly according to the complexity of the audio frequency, including:

[0039] If the audio complexity is less than or equal to the preset audio complexity, the cable is determined to be safe, and the monitoring module is controlled to continue monitoring;

[0040] If the audio complexity is greater than a preset audio complexity, it is determined that an alarm message indicating that a safety anomaly exists in the cable is issued.

[0041] Furthermore, the analysis module is used to continuously use a predetermined sound amplitude alarm threshold to determine whether to issue an alarm message indicating that the cable has a safety anomaly, including:

[0042] If the loudness acquired by the voiceprint sensor is less than or equal to the predetermined sound amplitude alarm threshold, the cable is determined to be safe and monitoring is continued;

[0043] If the loudness acquired by the voiceprint sensor is greater than a predetermined sound amplitude alarm threshold, it is determined that an alarm message indicating a safety anomaly exists in the cable is issued.

[0044] Compared with the prior art, the beneficial effect of the present invention lies in the introduction of a voiceprint sensor, which converts the sound during the construction process into an electrical signal, so that the alarm module issues an alarm prompt and accurately monitors the safety hazards inside and outside the power corridor; the voiceprint sensor is powered by a low-power solar photovoltaic panel and has a large range and the ability to accurately identify sound. The alarm module is used to remind construction personnel to pay attention and take necessary measures, effectively reducing the risks of power facilities.

[0045] Furthermore, the present invention obtains the specific conditions of the cable burial area with risks through the monitoring module and the data storage module. The data processing module calculates the burial collapse tendency parameters through the predetermined formula, and determines the processing method for the loudness obtained by the voiceprint sensor through the burial collapse tendency parameters. When the burial area of ​​the cable is a category with strong burial collapse tendency, the change of the loudness and the complexity of the audio are determined in detail, and it is comprehensively determined whether to control the alarm module to issue an alarm message. While improving the accuracy of the cable alarm, the efficiency of cable safety monitoring is further improved.

[0046] Furthermore, the buried collapse tendency parameters are calculated to determine whether the current buried cable area is more prone to collapse. In an environment with special geological conditions and low soil density, if engineering construction is carried out, it will cause excessive disturbance to the soil and in the absence of effective protection and support measures, it will cause local land subsidence. After the land subsidence, the cable will be stretched or twisted, causing damage to the cable sheath and insulation, increasing the risk of cable failure, and in severe cases, it may cause safety accidents such as leakage and short circuit. The lower the soil density, the easier it is to cause land subsidence in the buried cable area. Determine the specific soil environment of the cable burial area; in actual situations, when the soil in which the cable is buried is relatively moist, the soil The cohesion between particles is large, and the soil has good structural stability. It can better maintain the shape of the soil and is not prone to collapse. When the soil is too dry, the friction and cohesion between the soil particles decrease, and the soil structure becomes loose, which is more likely to collapse under external pressure. When there is a construction risk, the specific environmental conditions of the buried cable area are obtained in time to comprehensively determine the impact of the construction disturbance on the buried cable area, and then, the buried collapse tendency parameters are used to divide the buried collapse tendency categories, providing data support for cable monitoring and extraction, and then, on the premise of ensuring targeted and accurate monitoring of the cable conditions, the efficiency of cable safety monitoring is improved.

[0047] Furthermore, the change of sound is determined based on the distance change tendency determined by the loudness time domain change curve. When the slope is greater than a predetermined slope, the current sound feature gradually approaches the cable area, and an alarm message is issued at this time; when the slope is less than or equal to the predetermined slope, the current sound feature gradually becomes farther away, and the audio complexity is obtained at this time to determine the specific situation of the current sound source. In the actual construction process, there will be multiple sound sources. At this time, the audio complexity is greater than the preset audio complexity, then it is determined that there is a construction situation at this time, and an alarm message is issued for the safety anomaly of the cable. When the audio complexity is less than or equal to the preset audio complexity, it is determined that there are passing vehicles or pedestrians, and the cable is determined to be safe. While improving the accuracy of the cable alarm, the efficiency of cable safety monitoring is further improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 This is a module block diagram of a cable safety early warning system based on voiceprint recognition according to an embodiment of the present invention;

[0049] Figure 2 A logical decision diagram for classifying burial collapse tendency categories based on burial collapse tendency parameters according to an embodiment of the present invention;

[0050] Figure 3 A logic decision diagram for determining whether a cable has a safety anomaly based on the buried collapse tendency category according to an embodiment of the present invention;

[0051] Figure 4 This is a logic decision diagram for determining whether to issue an alarm message regarding a safety anomaly in a cable based on the loudness obtained by the voiceprint sensor in an embodiment of the present invention. DETAILED DESCRIPTION

[0052] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0053] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0054] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0055] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0056] See also Figure 1 , Figure 2 , Figure 3 as well as Figure 4 As shown, they are respectively a module block diagram of a cable safety early warning system based on voiceprint recognition according to an embodiment of the present invention, a logic decision diagram for classifying burial collapse tendency categories based on burial collapse tendency parameters, a logic decision diagram for determining whether a cable has a safety anomaly based on the burial collapse tendency category, and a logic decision diagram for determining whether to issue an alarm message for a cable safety anomaly based on the loudness obtained by a voiceprint sensor; a cable safety early warning system based on voiceprint recognition according to an embodiment of the present invention comprises:

[0057] A monitoring module, comprising a voiceprint sensor located on the surface of the cable for obtaining sound characteristics, the sound characteristics including loudness and frequency, and a humidity sensor disposed adjacent to the voiceprint sensor for obtaining humidity of the cable environment;

[0058] A data storage module, which includes a plurality of memories connected to each voiceprint sensor, and a single memory stores the soil density of the location where the voiceprint sensor is buried;

[0059] A data processing module, which is connected to the monitoring module and the data storage module respectively, and is used to determine the burial collapse tendency parameter according to the cable environment humidity and soil density under the condition that the voiceprint sensor obtains the sound characteristics;

[0060] An analysis module, which is respectively connected to the monitoring module, the data storage module and the data processing module, is used to classify the burial collapse tendency category based on the burial collapse tendency parameter, and determine whether the cable has a safety abnormality based on the burial collapse tendency category, including:

[0061] Adjust the sound amplitude alarm threshold based on the burial collapse tendency parameter, issue an alarm message for the existence of safety anomalies in the cable based on the loudness obtained by the voiceprint sensor, or determine the distance change tendency based on the loudness time domain change curve, and determine whether to issue an alarm message for the existence of safety anomalies in the cable based on the distance change tendency and the audio frequency complexity;

[0062] Or, continuously using a predetermined sound amplitude alarm threshold to determine whether to issue an alarm message regarding a safety anomaly in the cable;

[0063] The alarm module is connected to the analysis module and is used to issue an alarm when the analysis module issues an instruction for alarm information indicating that there is a safety anomaly in the cable.

[0064] Specifically, there is no limitation on the method of obtaining the soil density of the voiceprint sensor pre-buried location. It can be understood that the difference in the propagation characteristics of sound waves in media with different soil densities can be used to analyze and judge the soil density in the area near the cable by emitting sound waves and receiving reflected sound wave signals. An acoustic wave instrument can be used to detect the cable burial depth and surrounding soil density. This is a prior art and will not be elaborated on.

[0065] Specifically, the specific warning method of the alarm module is not limited. The alarm can be given by a sound alarm, by a warning light, or by sending an alarm message to a connected client. This is the existing technology and will not be described in detail.

[0066] Specifically, optionally, the voiceprint sensor, humidity sensor, data storage module, data processing module, analysis module and alarm module can all be powered by low-power solar photovoltaic panels, which will not be described in detail.

[0067] Specifically, the present invention does not limit the specific structures of the data storage module, data processing module, and analysis module, which can all be composed of logical components. The logical components can be field programmable components, computers, and microprocessors in computers, etc., which will not be repeated here.

[0068] Specifically, the data processing module is used to calculate the burial collapse tendency parameter according to formula (1):

[0069]

[0070] Where Y is the burial collapse tendency parameter, H is the cable environment humidity, D is the soil density, α is the humidity weight coefficient, β is the soil weight coefficient, H0 is the mean of the cable environment humidity obtained by each humidity sensor, and D0 is the mean of the soil density at the buried location of each voiceprint sensor.

[0071] Specifically, α is set to 0.32 and β is set to 0.68.

[0072] Specifically, there is no limit on the number of humidity sensors selected for obtaining the cable environment humidity. It can be understood that a number of humidity sensors can be randomly selected in each area, and the number of humidity sensors selected is not less than 100; optionally, the selection points for obtaining each soil density can correspond to the burial points of each humidity sensor, which will not be repeated here.

[0073] Specifically, the analysis module is used to classify the burial collapse tendency categories based on the burial collapse tendency parameters, including:

[0074] If the burial collapse tendency parameter is greater than the preset burial collapse tendency parameter, the cable burial area is classified as a burial strong collapse tendency category.

[0075] If the burial collapse tendency parameter is less than or equal to the preset burial collapse tendency parameter, the cable burial area is classified as a burial weak collapse tendency category.

[0076] The preset burial collapse tendency parameter Y0 is selected within the interval [2.6, 3.1].

[0077] Specifically, the analysis module is used to determine whether there is a safety anomaly in the cable based on the burial collapse tendency category, including:

[0078] If the cable burial area is classified as a strong burial collapse tendency category, the sound amplitude alarm threshold is adjusted based on the burial collapse tendency parameter, and an alarm message for a safety abnormality of the cable is issued based on the loudness obtained by the voiceprint sensor, or the distance change tendency is determined based on the loudness time domain change curve, so as to determine whether to issue an alarm message for a safety abnormality of the cable according to the distance change tendency and the audio frequency complexity;

[0079] If the cable burial area is of the buried weak collapse tendency category, the predetermined sound amplitude alarm threshold is continuously used to determine whether to issue an alarm message regarding the safety anomaly of the cable.

[0080] The predetermined sound amplitude alarm threshold V0 is selected within the interval [70, 90].

[0081] Specifically, the analysis module is used to adjust the sound amplitude alarm threshold based on the burial collapse tendency parameter, wherein:

[0082] The sound amplitude alarm threshold determined based on the burial collapse tendency parameter is proportional to the burial collapse tendency parameter.

[0083] In an embodiment, optionally,

[0084] Compare the burial collapse tendency parameter Y with the first preset collapse comparison threshold value Y1 and the second preset collapse comparison threshold value Y2,

[0085] If Y≤Y1, the sound amplitude alarm threshold is determined as the first sound amplitude alarm threshold V1, and V1=0.9V0;

[0086] If Y1<Y≤Y2, the sound amplitude alarm threshold is determined as the second sound amplitude alarm threshold V2, and V1=0.8V0;

[0087] If Y>Y2, the sound amplitude alarm threshold is determined to be the third sound amplitude alarm threshold V3, and V3 is set to be 0.75V0;

[0088] Wherein, V0 is the predetermined sound amplitude alarm threshold, Y1=1.25Y0, Y2=1.86Y0.

[0089] Specifically, the analysis module is used to determine whether to issue an alarm message for a safety anomaly of the cable based on the loudness obtained by the voiceprint sensor, including:

[0090] If the loudness acquired by the voiceprint sensor is less than or equal to the adjusted sound amplitude alarm threshold, the distance change tendency is determined based on the loudness time domain change curve, and whether the cable has a safety anomaly is determined based on the distance change tendency;

[0091] If the loudness obtained by the voiceprint sensor is greater than the adjusted sound amplitude alarm threshold, it is determined that an alarm message is issued regarding the safety anomaly of the cable.

[0092] Specifically, the analysis module is used to determine the distance change tendency based on the loudness time domain change curve, including:

[0093] Drawing a loudness time domain variation curve based on the obtained loudnesses;

[0094] Get the slope of the time domain change curve at the current time node;

[0095] If the slope is less than or equal to the predetermined slope, the current sound feature is determined as a long-distance change tendency;

[0096] If the slope is greater than a predetermined slope, the current sound feature is determined as a close-range change tendency;

[0097] The predetermined slope K0 is selected within the interval [-18, 0].

[0098] The analysis module is used to determine whether to issue an alarm message for a safety anomaly of the cable based on the distance change tendency, including:

[0099] If the current sound feature is determined to have a tendency to change over a long distance, it is determined whether to issue an alarm message indicating that the cable has a safety anomaly based on the complexity of the sound frequency;

[0100] If the current sound feature is determined to have a tendency to change at a short distance, an alarm message is issued regarding the existence of a safety anomaly in the cable.

[0101] Specifically, the analysis module is used to obtain the audio complexity, including:

[0102] The frequencies of the sound features acquired by the voiceprint sensor are read, and the frequency types of different frequencies counted are determined as the audio complexity.

[0103] Specifically, the analysis module is used to determine whether to issue an alarm message indicating that the cable has a safety anomaly according to the complexity of the audio frequency, including:

[0104] If the audio complexity is less than or equal to the preset audio complexity, the cable is determined to be safe, and the monitoring module is controlled to continue monitoring;

[0105] If the audio complexity is greater than a preset audio complexity, it is determined that an alarm message indicating that a safety anomaly exists in the cable is issued.

[0106] Specifically, the preset audio complexity F0 is selected within the interval [5, 7].

[0107] Specifically, the analysis module is used to continuously use the predetermined sound amplitude alarm threshold to determine whether to issue an alarm message for a safety anomaly of the cable, including:

[0108] If the loudness acquired by the voiceprint sensor is less than or equal to the predetermined sound amplitude alarm threshold, the cable is determined to be safe and monitoring is continued;

[0109] If the loudness acquired by the voiceprint sensor is greater than a predetermined sound amplitude alarm threshold, it is determined that an alarm message indicating a safety anomaly exists in the cable is issued.

[0110] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0111] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A cable safety early warning system based on voiceprint recognition, characterized in that: include: A monitoring module, comprising a voiceprint sensor located on the surface of the cable for obtaining sound characteristics, the sound characteristics including loudness and frequency, and a humidity sensor disposed adjacent to the voiceprint sensor for obtaining humidity of the cable environment; A data storage module, which includes a plurality of memories connected to each voiceprint sensor, and a single memory stores the soil density of the location where the voiceprint sensor is buried; A data processing module, which is connected to the monitoring module and the data storage module respectively, and is used to determine the burial collapse tendency parameter according to the cable environment humidity and soil density under the condition that the voiceprint sensor obtains the sound characteristics; An analysis module, which is respectively connected to the monitoring module, the data storage module and the data processing module, is used to classify the burial collapse tendency category based on the burial collapse tendency parameter, and determine whether the cable has a safety abnormality based on the burial collapse tendency category, including: Adjust the sound amplitude alarm threshold based on the burial collapse tendency parameter, issue an alarm message for the existence of safety anomalies in the cable based on the loudness obtained by the voiceprint sensor, or determine the distance change tendency based on the loudness time domain change curve, and determine whether to issue an alarm message for the existence of safety anomalies in the cable based on the distance change tendency and the audio frequency complexity; Or, continuously using a predetermined sound amplitude alarm threshold to determine whether to issue an alarm message regarding a safety anomaly in the cable; The alarm module is connected to the analysis module and is used to issue an alarm when the analysis module issues an instruction for alarm information indicating that there is a safety anomaly in the cable.

2. The cable safety early warning system based on voiceprint recognition according to claim 1 is characterized in that: The data processing module is used to calculate the burial collapse tendency parameter according to formula (1): Where Y is the burial collapse tendency parameter, H is the cable environment humidity, D is the soil density, α is the humidity weight coefficient, β is the soil weight coefficient, H0 is the mean of the cable environment humidity obtained by each humidity sensor, and D0 is the mean of the soil density at the buried location of each voiceprint sensor.

3. The cable safety early warning system based on voiceprint recognition according to claim 2 is characterized in that: The analysis module is used to classify the burial collapse tendency categories based on the burial collapse tendency parameters, including: If the burial collapse tendency parameter is greater than the preset burial collapse tendency parameter, the cable burial area is classified as a burial strong collapse tendency category; If the burial collapse tendency parameter is less than or equal to the preset burial collapse tendency parameter, the cable burial area is classified as a burial weak collapse tendency category.

4. The cable safety early warning system based on voiceprint recognition according to claim 3 is characterized in that: The analysis module is used to determine whether there is a safety anomaly in the cable based on the burial collapse tendency category, including: If the cable burial area is classified as a strong burial collapse tendency category, the sound amplitude alarm threshold is adjusted based on the burial collapse tendency parameter, and based on the loudness obtained by the voiceprint sensor, it is determined whether to issue an alarm message for the existence of a safety anomaly in the cable, or based on the loudness time domain change curve, the distance change tendency is determined, and based on the distance change tendency and the audio frequency complexity, it is determined whether to issue an alarm message for the existence of a safety anomaly in the cable; If the cable burial area is of the buried weak collapse tendency category, the predetermined sound amplitude alarm threshold is continuously used to determine whether to issue an alarm message regarding the safety anomaly of the cable.

5. The cable safety early warning system based on voiceprint recognition according to claim 4 is characterized in that: The analysis module is used to adjust the sound amplitude alarm threshold based on the burial collapse tendency parameter, wherein: The sound amplitude alarm threshold determined based on the burial collapse tendency parameter is proportional to the burial collapse tendency parameter.

6. The cable safety early warning system based on voiceprint recognition according to claim 5 is characterized in that: The analysis module is used to determine whether to issue an alarm message for a safety anomaly of the cable based on the loudness obtained by the voiceprint sensor, including: If the loudness acquired by the voiceprint sensor is less than or equal to the adjusted sound amplitude alarm threshold, the distance change tendency is determined based on the loudness time domain change curve, and whether the cable has a safety anomaly is determined based on the distance change tendency; If the loudness obtained by the voiceprint sensor is greater than the adjusted sound amplitude alarm threshold, it is determined that an alarm message is issued regarding the safety anomaly of the cable.

7. The cable safety early warning system based on voiceprint recognition according to claim 6 is characterized in that: The analysis module is used to determine the distance change tendency based on the loudness time domain change curve, including: Drawing a loudness time domain variation curve based on the obtained loudnesses; Get the slope of the time domain change curve at the current time node; If the slope is less than or equal to the predetermined slope, the current sound feature is determined as a long-distance change tendency; If the slope is greater than a predetermined slope, the current sound feature is determined as a close-range change tendency; The analysis module is used to determine whether to issue an alarm message for a safety anomaly of the cable based on the distance change tendency, including: If the current sound feature is determined to have a tendency to change over a long distance, it is determined whether to issue an alarm message indicating that the cable has a safety anomaly based on the complexity of the sound frequency; If the current sound feature is determined to have a tendency to change at a short distance, an alarm message is issued regarding the existence of a safety anomaly in the cable.

8. The cable safety early warning system based on voiceprint recognition according to claim 7 is characterized in that: The analysis module is used to obtain the audio complexity, including: The frequencies of the sound features acquired by the voiceprint sensor are read, and the frequency types of different frequencies counted are determined as the audio complexity.

9. The cable safety early warning system based on voiceprint recognition according to claim 8 is characterized in that: The analysis module is used to determine whether to issue an alarm message for a safety anomaly in the cable according to the complexity of the audio frequency, including: If the audio complexity is less than or equal to the preset audio complexity, the cable is determined to be safe, and the monitoring module is controlled to continue monitoring; If the audio complexity is greater than a preset audio complexity, it is determined that an alarm message indicating that a safety anomaly exists in the cable is issued.

10. The cable safety early warning system based on voiceprint recognition according to claim 9 is characterized in that: The analysis module is used to continuously use the predetermined sound amplitude alarm threshold to determine whether to issue an alarm message for a safety anomaly of the cable, including: If the loudness acquired by the voiceprint sensor is less than or equal to the predetermined sound amplitude alarm threshold, the cable is determined to be safe and monitoring is continued; If the loudness acquired by the voiceprint sensor is greater than a predetermined sound amplitude alarm threshold, it is determined that an alarm message indicating a safety anomaly exists in the cable is issued.

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