Acoustic signal enhancement method and device and medium

Abstract

The invention discloses an acoustic signal enhancement method and device and a medium, and relates to the technical field of acoustic signal control. The method comprises the following steps: acquiring corresponding acoustic signals, environmental interference data and environmental noise data of the high-voltage electrical equipment in each monitoring period; determining an acoustic signal state evaluation deviation value of the high-voltage electrical equipment in each monitoring period according to the environmental interference data and the environmental noise data; determining an acoustic signal state evaluation value of the high-voltage electrical equipment in each monitoring period according to the acoustic signal; and determining each abnormal monitoring period based on the acoustic signal state evaluation deviation value and the acoustic signal state evaluation value, and performing signal enhancement processing on the acoustic signal corresponding to each abnormal monitoring period. Therefore, the abnormal monitoring period of the abnormal signal state can be accurately identified, and targeted enhancement processing is performed on the acoustic signal of each abnormal monitoring period, so that the signal quality and the fault positioning accuracy are improved, and the equipment monitoring capability of operation and maintenance personnel is enhanced.

Description

Technical Field

[0001] The present application relates to the technical field of acoustic signal control, and in particular to an acoustic signal enhancement method, device and medium. Background Art

[0002] Gas Insulated Switchgear (GIS) is an advanced high-voltage electrical equipment that uses gas as an insulating medium. It plays an important role in the power system. Compared with traditional air-insulated switchgear, GIS has the advantages of small size, high reliability, easy maintenance, and strong environmental adaptability. Therefore, it has been widely used in the fields of power transmission and distribution. During the operation of GIS equipment, corresponding acoustic signals will be generated due to factors such as switch operation and contactor action. The above acoustic signals contain rich equipment status information. By collecting and analyzing them, the operation status of GIS equipment can be effectively determined. However, GIS acoustic signals are easily affected by factors such as noise and interference, which leads to the degradation of GIS acoustic signal quality.

[0003] At present, the intelligent enhancement method of GIS acoustic signals is mainly achieved through multiple steps such as signal preprocessing and noise reduction, feature extraction and selection, machine learning model training and optimization, application of intelligent enhancement algorithms, acoustic imaging and microphone array technology, etc. However, in these steps, a large number of complex calculations are required, and the steps are cumbersome. At the same time, in complex environments, the background noise around GIS acoustic signals is high, which leads to the attenuation of GIS acoustic signals, and the analysis of GIS equipment operation status has the problem of reduced fault location accuracy.

[0004] In view of the above technologies, seeking a method for enhancing acoustic signals is an urgent problem to be solved by those skilled in the art. Summary of the invention

[0005] The purpose of the present application is to provide an acoustic signal enhancement method, device and medium, which solves the problem in the prior art that in a complex environment, the background noise around the acoustic signal is high, which causes signal attenuation and reduces the fault location accuracy.

[0006] In order to solve the above technical problems, on the one hand, the present application provides an acoustic signal enhancement method, comprising:

[0007] Obtain the acoustic signals, environmental interference data and environmental noise data corresponding to high-voltage electrical equipment in each monitoring cycle;

[0008] Determine the acoustic signal status assessment deviation value of the high-voltage electrical equipment in each monitoring period according to the environmental interference data and the environmental noise data;

[0009] Determine the acoustic signal status evaluation value of the high-voltage electrical equipment in each monitoring period according to the acoustic signal;

[0010] Each abnormal monitoring period is determined based on the acoustic signal state evaluation deviation value and the acoustic signal state evaluation value, and signal enhancement processing is performed on the acoustic signal corresponding to each abnormal monitoring period.

[0011] Preferably, determining the acoustic signal state evaluation deviation value of the high-voltage electrical equipment in each monitoring period according to the environmental interference data and the environmental noise data includes:

[0012] Determine the environmental interference assessment value of high-voltage electrical equipment in each monitoring period based on environmental interference data;

[0013] Determine the environmental noise assessment value of high-voltage electrical equipment in each monitoring period based on environmental noise data;

[0014] Determine the environmental assessment value of high-voltage electrical equipment in each monitoring period based on the environmental interference assessment value and the environmental noise assessment value;

[0015] Based on the corresponding relationship between the deviation value and the evaluation value, the acoustic signal state evaluation deviation value corresponding to the environmental evaluation value in each monitoring cycle is determined.

[0016] Preferably, determining the environmental interference assessment value of the high-voltage electrical equipment in each monitoring period based on the environmental interference data includes:

[0017] Obtain the electromagnetic interference intensity, intermodulation interference intensity and air pressure change rate in the environmental interference data in each monitoring cycle;

[0018] Obtain critical electromagnetic interference intensity, critical intermodulation interference intensity and critical air pressure change rate in the signal database;

[0019] Based on the environmental interference evaluation value expression, determine the environmental interference evaluation values ​​corresponding to the magnetic interference intensity, intermodulation interference intensity, air pressure change rate, critical electromagnetic interference intensity, critical intermodulation interference intensity and critical air pressure change rate in each monitoring period;

[0020] Among them, the environmental interference evaluation value expression is:

[0021] ;

[0022] in, Characterization High voltage electrical equipment in Environmental disturbance assessment value for each monitoring period; Characterize the environmental interference assessment impact factor corresponding to the electromagnetic interference intensity; Characterize the environmental interference assessment impact factor corresponding to the intermodulation interference intensity; Characterize the environmental disturbance assessment impact factor corresponding to the air pressure change rate; Characterization High voltage electrical equipment in The electromagnetic interference intensity of a monitoring cycle; Characterize critical electromagnetic interference intensity; Characterization High voltage electrical equipment in Intermodulation interference intensity of a monitoring cycle; Characterize the critical intermodulation interference intensity; Characterization High voltage electrical equipment in The rate of change of air pressure during a monitoring cycle; Characterize the critical pressure change rate; Equipment number characterizing high voltage electrical equipment; The period number that represents the monitoring period.

[0023] Preferably, determining the environmental noise assessment value of the high-voltage electrical equipment in each monitoring period based on the environmental noise data includes:

[0024] Obtaining harmonic signal intensity and noise intensity in environmental noise data in each monitoring period;

[0025] Obtaining critical harmonic signal intensity and critical noise intensity in a signal database;

[0026] Based on the environmental noise evaluation value expression, determine the environmental noise evaluation values ​​corresponding to the harmonic signal intensity, noise intensity, critical harmonic signal intensity and critical noise intensity in each monitoring period;

[0027] Among them, the environmental noise evaluation value expression is:

[0028] ;

[0029] in, Characterization High voltage electrical equipment in Environmental noise assessment value for each monitoring period; Characterize the environmental noise assessment impact factor corresponding to the harmonic signal strength; Characterize the environmental noise assessment impact factor corresponding to the noise intensity; Characterization High voltage electrical equipment in Harmonic signal strength of each monitoring cycle; Characterize the critical harmonic signal strength; Characterization High voltage electrical equipment in Noise intensity during each monitoring period; Characterize critical noise intensity; Equipment number characterizing high voltage electrical equipment; The period number that represents the monitoring period.

[0030] Preferably, determining the environmental assessment value of the high-voltage electrical equipment in each monitoring period according to the environmental interference assessment value and the environmental noise assessment value includes:

[0031] Obtaining a critical environmental interference assessment value and a critical environmental noise assessment value in a signal database;

[0032] Determine the environmental assessment values ​​corresponding to the environmental interference assessment value, the environmental noise assessment value, the critical environmental interference assessment value and the critical environmental noise assessment value in each monitoring period based on the environmental assessment value expression;

[0033] The environmental assessment value expression is:

[0034] ;

[0035] in, Characterization High voltage electrical equipment in Environmental assessment value for each monitoring cycle; Characterize the environmental assessment impact factor corresponding to the environmental interference assessment value; Characterize the environmental assessment impact factor corresponding to the environmental noise assessment value; Characterization High voltage electrical equipment in Environmental disturbance assessment value for each monitoring period; Characterize critical environmental interference assessment values; Characterization High voltage electrical equipment in Environmental noise assessment value for each monitoring period; Characterize critical environmental noise assessment values; Equipment number characterizing high voltage electrical equipment; The period number that represents the monitoring period.

[0036] Preferably, determining the acoustic signal state evaluation value of the high-voltage electrical equipment in each monitoring period according to the acoustic signal includes:

[0037] Obtaining the acoustic signal frequency, equipment vibration frequency and sound signal strength in the acoustic signal in each monitoring cycle;

[0038] Obtaining a reference acoustic signal frequency, an allowable deviation acoustic signal frequency, a reference equipment vibration frequency, an allowable deviation equipment vibration frequency, a critical sound signal intensity, and a critical environment assessment value in a signal database;

[0039] Based on the acoustic signal state evaluation value expression, determine the acoustic signal state evaluation value corresponding to the acoustic signal frequency, equipment vibration frequency, sound signal intensity, reference acoustic signal frequency, allowable deviation acoustic signal frequency, reference equipment vibration frequency, allowable deviation equipment vibration frequency, critical sound signal intensity and critical environment evaluation value in the monitoring period;

[0040] Among them, the acoustic signal state evaluation value expression is:

[0041] ;

[0042] in, Characterization High voltage electrical equipment in Acoustic signal status evaluation value of a monitoring cycle; Characterize the equipment evaluation impact factor corresponding to the acoustic signal frequency; Characterize the equipment assessment impact factor corresponding to the equipment vibration frequency; Characterize the equipment evaluation impact factor corresponding to the sound signal strength; Characterize the equipment assessment impact factor corresponding to the environmental assessment value; Characterization High voltage electrical equipment in The frequency of the acoustic signal during a monitoring period; Characterize the reference acoustic signal frequency; Characterize the permissible deviation acoustic signal frequency; Characterization High voltage electrical equipment in Equipment vibration frequency during each monitoring cycle; Characterize the vibration frequency of the reference device; Characterize the permissible deviation of equipment vibration frequency; Characterization High voltage electrical equipment in The sound signal strength of a monitoring cycle; Characterize critical sound signal strength; Characterization High voltage electrical equipment in Environmental assessment value for each monitoring cycle; Characterize critical environmental assessment values; Equipment number characterizing high voltage electrical equipment; The period number that represents the monitoring period.

[0043] Preferably, determining each abnormal monitoring period based on the acoustic signal state evaluation deviation value and the acoustic signal state evaluation value includes:

[0044] Acquiring an acoustic signal state evaluation threshold in a signal database;

[0045] Determine the reference signal state evaluation value corresponding to each monitoring period according to the acoustic signal state evaluation deviation value and the corresponding acoustic signal state evaluation value; wherein the sum of the acoustic signal state evaluation deviation value and the corresponding acoustic signal state evaluation value is used as the reference signal state evaluation value;

[0046] If the reference signal state evaluation value is greater than the acoustic signal state evaluation threshold, the current corresponding monitoring period is a normal monitoring period;

[0047] If the reference signal state evaluation value is not greater than the acoustic signal state evaluation threshold, the current corresponding monitoring period is an abnormal monitoring period.

[0048] Preferably, the acoustic signal corresponding to each abnormal monitoring period is subjected to signal enhancement processing, including:

[0049] Determine the corresponding acoustic signal energy operator according to each abnormal monitoring period;

[0050] Acquiring an acoustic signal energy threshold in a signal database;

[0051] If the acoustic signal energy operator is not less than the acoustic signal energy threshold, the acoustic signal corresponding to the current abnormal monitoring period is marked as a normal acoustic signal;

[0052] If the acoustic signal energy operator is less than the acoustic signal energy threshold, the acoustic signal corresponding to the current abnormal monitoring period is marked as an abnormal acoustic signal;

[0053] The acoustic signals marked as normal are subjected to signal enhancement processing, and the acoustic signals marked as abnormal are subjected to signal suppression processing.

[0054] On the other hand, the present application also provides an acoustic signal enhancement device, comprising:

[0055] An acquisition module is used to acquire the acoustic signals, environmental interference data and environmental noise data corresponding to the high-voltage electrical equipment in each monitoring cycle;

[0056] A first determination module is used to determine the acoustic signal state evaluation deviation value of the high-voltage electrical equipment in each monitoring period according to the environmental interference data and the environmental noise data;

[0057] A second determination module is used to determine the acoustic signal state evaluation value of the high-voltage electrical equipment in each monitoring period according to the acoustic signal;

[0058] The signal enhancement module is used to determine each abnormal monitoring period based on the acoustic signal state evaluation deviation value and the acoustic signal state evaluation value, and perform signal enhancement processing on the acoustic signal corresponding to each abnormal monitoring period.

[0059] On the other hand, the present application also provides an electronic device, comprising a memory for storing a computer program;

[0060] The processor is used to implement the steps of the above-mentioned acoustic signal enhancement method when executing the computer program.

[0061] On the other hand, the present application also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the above-mentioned acoustic signal enhancement method are implemented.

[0062] The present application provides an acoustic signal enhancement method, including: obtaining the acoustic signal, environmental interference data and environmental noise data corresponding to the high-voltage electrical equipment in each monitoring cycle; determining the acoustic signal state evaluation deviation value of the high-voltage electrical equipment in each monitoring cycle according to the environmental interference data and the environmental noise data; determining the acoustic signal state evaluation value of the high-voltage electrical equipment in each monitoring cycle according to the acoustic signal; determining each abnormal monitoring cycle based on the acoustic signal state evaluation deviation value and the acoustic signal state evaluation value, and performing signal enhancement processing on the acoustic signal corresponding to each abnormal monitoring cycle. It can be seen that the present application can accurately identify the abnormal monitoring cycle with abnormal signal state by screening according to the acoustic signal state evaluation deviation value and the acoustic signal state evaluation value, thereby realizing the precise monitoring of the acoustic signal state of the high-voltage electrical equipment, and performing targeted enhancement processing on the acoustic signal of each abnormal monitoring cycle, thereby realizing the improvement of signal quality and fault location accuracy, and enhancing the monitoring and management capabilities of the operation and maintenance personnel on the state of high-voltage electrical equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] In order to more clearly illustrate the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments. 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 any creative work.

[0064] Figure 1 A flowchart of an acoustic signal enhancement method provided in an embodiment of the present application;

[0065] Figure 2 A graph showing changes in environmental assessment values ​​corresponding to the acoustic signal enhancement method provided in an embodiment of the present application;

[0066] Figure 3 A module diagram of an acoustic signal enhancement device provided in another embodiment of the present application;

[0067] Figure 4 A structural diagram of an electronic device provided in another embodiment of the present application. DETAILED DESCRIPTION

[0068] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0069] The core of this application is to provide a method for enhancing acoustic signals.

[0070] In order to enable those skilled in the art to better understand the present application, the present application is further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0071] Figure 1 A flowchart of an acoustic signal enhancement method provided in an embodiment of the present application is shown in FIG. Figure 1 As shown, the following process is included:

[0072] S10: Obtaining the acoustic signals, environmental interference data and environmental noise data corresponding to the high-voltage electrical equipment in each monitoring period.

[0073] In a specific embodiment, the high-voltage electrical equipment may be specifically a gas insulated switchgear (GIS), which is an advanced high-voltage electrical equipment that plays an important role in the power system. The acoustic signal refers to the mechanical vibration sound, electromagnetic sound, etc. of the GIS equipment (such as gas insulated switchgear, etc.) during normal operation, as well as abnormal acoustic signals generated under abnormal conditions (such as partial discharge, mechanical failure, etc.). Through real-time monitoring and analysis of acoustic signals, the operating status of the GIS equipment can be understood, including normal operation and abnormal conditions. This helps to promptly discover equipment failures or potential safety hazards, and provides an important basis for equipment maintenance and management.

[0074] To this end, the present application provides an acoustic signal enhancement method, which further enhances the acoustic signal in a complex environment to ensure the analysis of GIS equipment.

[0075] In the process of analyzing GIS equipment, it is necessary to obtain the acoustic signals, environmental interference data and environmental noise data corresponding to the high-voltage electrical equipment in each monitoring cycle. The acoustic signals are used to analyze their own status, while the environmental interference data and environmental noise data are used to determine the impact of the current environment on the signals.

[0076] S11: Determine the acoustic signal state assessment deviation value of the high-voltage electrical equipment in each monitoring cycle based on the environmental interference data and the environmental noise data.

[0077] In a specific embodiment, a preliminary analysis is performed on the environmental interference data and the environmental noise data, and then the acoustic signal state evaluation deviation value corresponding to each monitoring period can be obtained to reflect the environmental conditions of different high-voltage electrical equipment in different monitoring periods.

[0078] The specific steps are: determine the environmental interference assessment value of the high-voltage electrical equipment in each monitoring period based on the environmental interference data; determine the environmental noise assessment value of the high-voltage electrical equipment in each monitoring period based on the environmental noise data; determine the environmental assessment value of the high-voltage electrical equipment in each monitoring period according to the environmental interference assessment value and the environmental noise assessment value; determine the acoustic signal state assessment deviation value corresponding to the environmental assessment value in each monitoring period based on the corresponding relationship between the deviation value and the assessment value.

[0079] S12: Determine the acoustic signal status evaluation value of the high-voltage electrical equipment in each monitoring cycle based on the acoustic signal.

[0080] In a specific embodiment, a preliminary analysis of the acoustic signal can be performed to obtain an acoustic signal state evaluation value currently determined only based on the acoustic signal generated by the high-voltage electrical equipment.

[0081] The specific steps may be: obtaining the acoustic signal frequency, equipment vibration frequency and sound signal strength in the acoustic signal in each monitoring cycle; obtaining the reference acoustic signal frequency, allowable deviation acoustic signal frequency, reference equipment vibration frequency, allowable deviation equipment vibration frequency, critical sound signal strength and critical environmental assessment value in the signal database; based on the acoustic signal state assessment value expression, determining the acoustic signal state assessment value corresponding to the acoustic signal frequency, equipment vibration frequency, sound signal strength, reference acoustic signal frequency, allowable deviation acoustic signal frequency, reference equipment vibration frequency, allowable deviation equipment vibration frequency, critical sound signal strength and critical environmental assessment value in the monitoring cycle.

[0082] S13: Determine each abnormal monitoring period based on the acoustic signal state evaluation deviation value and the acoustic signal state evaluation value, and perform signal enhancement processing on the acoustic signal corresponding to each abnormal monitoring period.

[0083] In a specific embodiment, the analysis of the acoustic signal generated by the high-voltage electrical equipment also needs to take into account the influence of the current environment. At the same time, in order to avoid signal attenuation caused by the influence of the environment, the signal needs to be enhanced to further ensure the accuracy of the analysis of the high-voltage electrical equipment, and to improve the signal quality and the accuracy of fault location. Since data, signals, etc. are acquired through periodic monitoring, in order to avoid wasting resources, the abnormal monitoring period can be determined, so that the acoustic signal corresponding to the abnormal monitoring period can be enhanced separately.

[0084] The steps for determining the abnormal monitoring period may be: obtaining an acoustic signal state evaluation threshold in a signal database; determining a reference signal state evaluation value corresponding to each monitoring period according to an acoustic signal state evaluation deviation value and a corresponding acoustic signal state evaluation value; wherein the sum of the acoustic signal state evaluation deviation value and the corresponding acoustic signal state evaluation value is taken as a reference signal state evaluation value; if the reference signal state evaluation value is greater than the acoustic signal state evaluation threshold, the current corresponding monitoring period is a normal monitoring period; if the reference signal state evaluation value is not greater than the acoustic signal state evaluation threshold, the current corresponding monitoring period is an abnormal monitoring period.

[0085] The steps of performing signal enhancement processing on the acoustic signal corresponding to each abnormal monitoring period may be: determining the corresponding acoustic signal energy operator according to each abnormal monitoring period; obtaining the acoustic signal energy threshold in the signal database; if the acoustic signal energy operator is not less than the acoustic signal energy threshold, marking the acoustic signal corresponding to the current abnormal monitoring period as a normal acoustic signal; if the acoustic signal energy operator is less than the acoustic signal energy threshold, marking the acoustic signal corresponding to the current abnormal monitoring period as an abnormal acoustic signal; performing signal enhancement processing on the acoustic signal marked as normal, and performing signal suppression processing on the acoustic signal marked as abnormal.

[0086] Among them, it should be noted that the steps of determining the acoustic signal state evaluation deviation value, determining the acoustic signal state evaluation value, determining the abnormal monitoring period and performing signal enhancement processing on the acoustic signal provided in the implementation of the present application are all a feasible way, but are not limited to only this implementation method and can be set according to the needs of the user.

[0087] The present application provides an acoustic signal enhancement method, including: obtaining the acoustic signal, environmental interference data and environmental noise data corresponding to the high-voltage electrical equipment in each monitoring cycle; determining the acoustic signal state evaluation deviation value of the high-voltage electrical equipment in each monitoring cycle according to the environmental interference data and the environmental noise data; determining the acoustic signal state evaluation value of the high-voltage electrical equipment in each monitoring cycle according to the acoustic signal; determining each abnormal monitoring cycle based on the acoustic signal state evaluation deviation value and the acoustic signal state evaluation value, and performing signal enhancement processing on the acoustic signal corresponding to each abnormal monitoring cycle. It can be seen that the present application can accurately identify the abnormal monitoring cycle with abnormal signal state by screening according to the acoustic signal state evaluation deviation value and the acoustic signal state evaluation value, thereby realizing the precise monitoring of the acoustic signal state of the high-voltage electrical equipment, and performing targeted enhancement processing on the acoustic signal of each abnormal monitoring cycle, thereby realizing the improvement of signal quality and fault location accuracy, and enhancing the monitoring and management capabilities of the operation and maintenance personnel on the state of high-voltage electrical equipment.

[0088] On the basis of the above embodiments, as a preferred embodiment, step S11: the specific steps of determining the acoustic signal state evaluation deviation value of the high-voltage electrical equipment in each monitoring period according to the environmental interference data and the environmental noise data are: determining the environmental interference evaluation value of the high-voltage electrical equipment in each monitoring period based on the environmental interference data; determining the environmental noise evaluation value of the high-voltage electrical equipment in each monitoring period based on the environmental noise data; determining the environmental evaluation value of the high-voltage electrical equipment in each monitoring period according to the environmental interference evaluation value and the environmental noise evaluation value; determining the acoustic signal state evaluation deviation value corresponding to the environmental evaluation value in each monitoring period based on the corresponding relationship between the deviation value and the evaluation value.

[0089] In an embodiment, the specific steps of determining the environmental interference evaluation value of the high-voltage electrical equipment in each monitoring cycle based on the environmental interference data are: obtaining the electromagnetic interference intensity, intermodulation interference intensity and air pressure change rate in the environmental interference data in each monitoring cycle; obtaining the critical electromagnetic interference intensity, critical intermodulation interference intensity and critical air pressure change rate in the signal database; based on the environmental interference evaluation value expression, determining the environmental interference evaluation value corresponding to the magnetic interference intensity, intermodulation interference intensity, air pressure change rate, critical electromagnetic interference intensity, critical intermodulation interference intensity and critical air pressure change rate in each monitoring cycle;

[0090] Among them, the environmental interference evaluation value expression is:

[0091] ;

[0092] in, Characterization The high voltage electrical equipment is in Environmental disturbance assessment value for each monitoring period; Characterize the environmental interference assessment impact factor corresponding to the electromagnetic interference intensity; Characterize the environmental interference assessment impact factor corresponding to the intermodulation interference intensity; Characterize the environmental disturbance assessment impact factor corresponding to the air pressure change rate; Characterization High voltage electrical equipment in The electromagnetic interference intensity of a monitoring cycle; Characterize critical electromagnetic interference intensity; Characterization High voltage electrical equipment in Intermodulation interference intensity of a monitoring cycle; Characterize the critical intermodulation interference intensity; Characterization High voltage electrical equipment in The rate of change of air pressure during a monitoring cycle; Characterize the critical pressure change rate; Equipment number characterizing high voltage electrical equipment; The cycle number that represents the monitoring cycle. The total number of high-voltage electrical equipment is N, and the total number of monitoring cycles is M.

[0093] In a specific embodiment, , and They are the environmental interference assessment influencing factors corresponding to the electromagnetic interference intensity, intermodulation interference intensity and air pressure change rate preset in the signal database (GIS signal database), which quantitatively reflect the contribution of the above three parameters to the environmental interference assessment value, and can be directly retrieved from the signal database when used. Similarly, its critical electromagnetic interference intensity, critical intermodulation interference intensity and critical air pressure change rate are also stored in the signal database, and can be directly retrieved from the signal database when used.

[0094] In the signal database, mapping sets are established for electromagnetic interference intensity, intermodulation interference intensity and air pressure change rate respectively. These mapping sets can associate the measured values ​​of each parameter with the corresponding environmental interference assessment influencing factors. The mapping relationship can be many-to-one (that is, multiple similar measured values ​​correspond to the same influencing factor) or one-to-one (that is, each measured value has a unique corresponding influencing factor). When evaluating the environmental interference assessment value, the measured electromagnetic interference intensity, intermodulation interference intensity and air pressure change rate are respectively input into their respective mapping sets. According to the mapping relationship, the environmental interference assessment influencing factors corresponding to these measured values ​​can be quickly found, and the value range of these influencing factors is limited to between 0 and 1.

[0095] Among them, the signal database is used to store data related to the intelligent enhancement method of acoustic signals in the complex environment of substations, including: critical electromagnetic interference intensity, critical intermodulation interference intensity, critical air pressure change rate, environmental interference assessment influencing factor corresponding to electromagnetic interference intensity, etc. The data in the signal database can be directly downloaded and obtained through domestic institutions, or through GIS software, GIS data providers or related social media platforms.

[0096] In this embodiment, the electromagnetic interference intensity can be obtained by scanning and measuring the electromagnetic field around the high-voltage electrical equipment using an electromagnetic field intensity measuring instrument; intermodulation interference refers to the interference caused by mutual modulation of multiple signals during transmission, which can be directly measured using an intermodulation interference measuring device; the air pressure change rate can be measured by using a pressure sensor or a barometer and other measuring equipment to monitor the air pressure value of the high-voltage electrical equipment at the monitoring point in real time, and record the time point of each measurement as the monitoring time point, and use the ratio of the air pressure change amount and the time interval between the two adjacent monitoring time points. There is a certain correlation between these three parameters, and they work together on the operating environment of the high-voltage electrical equipment, affecting the performance and stability of the equipment. Electromagnetic interference and intermodulation interference may enter the equipment through electromagnetic coupling and interfere with the normal operation of the equipment; and air pressure changes may affect the physical structure and performance of the equipment. The environmental interference evaluation value finally obtained can reflect the overall condition of the equipment operating environment and provide an important reference for the operation and maintenance of the equipment.

[0097] In an embodiment, the specific steps of determining the environmental noise evaluation value of the high-voltage electrical equipment in each monitoring period based on the environmental noise data are: obtaining the harmonic signal strength and noise strength in the environmental noise data in each monitoring period; obtaining the critical harmonic signal strength and critical noise strength in the signal database; based on the environmental noise evaluation value expression, determining the environmental noise evaluation value corresponding to the harmonic signal strength, noise strength, critical harmonic signal strength and critical noise strength in each monitoring period;

[0098] Among them, the environmental noise evaluation value expression is:

[0099] ;

[0100] in, Characterization High voltage electrical equipment in Environmental noise assessment value for each monitoring period; Characterize the environmental noise assessment impact factor corresponding to the harmonic signal strength; Characterize the environmental noise assessment impact factor corresponding to the noise intensity; Characterization High voltage electrical equipment in Harmonic signal strength of each monitoring cycle; Characterize the critical harmonic signal strength; Characterization High voltage electrical equipment in Noise intensity during each monitoring period; Characterize critical noise intensity; Equipment number characterizing high voltage electrical equipment; The period number that represents the monitoring period.

[0101] In a specific embodiment, and The environmental noise assessment influencing factors corresponding to the harmonic signal strength and noise strength preset in the signal database respectively quantitatively reflect the contribution of the above two parameters to the environmental noise assessment value, and can be directly retrieved from the signal database when used. Similarly, its critical harmonic signal strength and critical noise strength are also stored in the signal database, and can be directly retrieved from the signal database when used.

[0102] In the signal database, mapping sets of harmonic signal strength and noise strength are respectively established. These mapping sets can associate the measured values ​​of each parameter with the corresponding environmental noise assessment impact factors. The mapping relationship can be many-to-one or one-to-one. When evaluating the environmental noise assessment value, the measured harmonic signal strength and noise intensity are respectively input into their respective mapping sets. According to the mapping relationship, the environmental noise assessment impact factors corresponding to these measured values ​​can be quickly found, and the value range of these impact factors is limited to between 0 and 1.

[0103] In this embodiment, harmonics are spurious signal contents generated by single-frequency tones and nonlinear elements or single-tone intermodulation distortion in the radio frequency or microwave signal chain. The harmonic signal strength can be directly measured by a spectrum analyzer and read at the monitoring point of the high-voltage electrical equipment; the noise intensity can be measured at the monitoring point of the high-voltage electrical equipment using a noise meter or a sound level meter. There is a certain correlation between the harmonic signal strength and the noise intensity. The generation and transmission of harmonic signals are often accompanied by the generation of vibration and noise, and the magnitude of the noise intensity is affected by the harmonic signal strength. The environmental noise evaluation value obtained by comprehensive analysis can reflect the noise level of the equipment operating environment and provide an important reference for the operation and maintenance of the equipment.

[0104] The specific steps of determining the environmental assessment value of high-voltage electrical equipment in each monitoring period according to the environmental interference assessment value and the environmental noise assessment value are as follows: obtaining the critical environmental interference assessment value and the critical environmental noise assessment value in the signal database; determining the environmental assessment values ​​corresponding to the environmental interference assessment value, the environmental noise assessment value, the critical environmental interference assessment value and the critical environmental noise assessment value in each monitoring period based on the environmental assessment value expression;

[0105] The environmental assessment value expression is:

[0106] ;

[0107] in, Characterization High voltage electrical equipment in Environmental assessment value for each monitoring cycle; Characterize the environmental assessment impact factor corresponding to the environmental interference assessment value; Characterize the environmental assessment impact factor corresponding to the environmental noise assessment value; Characterization High voltage electrical equipment in Environmental disturbance assessment value for each monitoring period; Characterize critical environmental interference assessment values; Characterization High voltage electrical equipment in Environmental noise assessment value for each monitoring period; Characterize critical environmental noise assessment values; Equipment number characterizing high voltage electrical equipment; The period number that represents the monitoring period.

[0108] In an embodiment, and The environmental assessment impact factors corresponding to the environmental interference assessment values ​​and environmental noise assessment values ​​preset in the signal database respectively quantitatively reflect the contribution of the above two parameters to the environmental assessment values, and can be directly retrieved from the signal database when used. Similarly, its critical environmental interference assessment value and critical environmental noise assessment value are also stored in the signal database, and can be directly retrieved from the signal database when used.

[0109] In the signal database, mapping sets are established for environmental interference assessment values ​​and environmental noise assessment values, respectively. These mapping sets can associate the measured values ​​of various parameters with the corresponding environmental assessment impact factors. The mapping relationship can be many-to-one or one-to-one. When evaluating the environmental assessment value, the measured environmental interference assessment value and environmental noise assessment value are input into their respective mapping sets, respectively. According to the mapping relationship, the environmental assessment impact factors corresponding to these measured values ​​can be quickly found, and the value range of these impact factors is limited to between 0 and 1.

[0110] In this embodiment, there is a certain correlation between the environmental interference evaluation value and the environmental noise evaluation value: on the one hand, environmental interference factors (such as electromagnetic interference) may directly lead to an increase in noise levels; on the other hand, the increase in noise levels may also reflect that the interference factors in the equipment operating environment are intensifying. Therefore, when comprehensively analyzing the operating environment of high-voltage electrical equipment, it is necessary to consider both evaluation values ​​at the same time. The environmental evaluation value obtained by comprehensive analysis can comprehensively reflect the overall status of the equipment operating environment, provide important reference for the operation, maintenance and management of the equipment, and predict the operating status and performance change trend of high-voltage electrical equipment.

[0111] For example: the environmental assessment impact factor corresponding to the environmental interference assessment value is set to 0.6, the environmental assessment impact factor corresponding to the environmental noise assessment value is set to 0.4, N is set to 1, M is set to 5, the environmental interference assessment value of the high-voltage electrical equipment is set to 1.16, the critical environmental interference assessment value is set to 1.2, and the critical environmental noise assessment value is set to 1.4. When the environmental noise assessment value of the high-voltage electrical equipment continues to increase, its environmental assessment value is as shown in Table 1.

[0112] Table 1

[0113]

[0114] like Figure 2 As shown in Table 1 and Figure 2 It can be seen that when the environmental assessment impact factor corresponding to the environmental interference assessment value, the environmental assessment impact factor corresponding to the environmental noise assessment value, N, M, the environmental interference assessment value of high-voltage electrical equipment, the critical environmental interference assessment value and the critical environmental noise assessment value remain unchanged, and the environmental noise assessment value continues to increase, the environmental assessment value continues to decrease.

[0115] Furthermore, based on the correspondence between the deviation value and the evaluation value, the step of determining the acoustic signal state evaluation deviation value corresponding to the environmental evaluation value in each monitoring cycle includes: matching the environmental evaluation value of each high-voltage electrical device in each monitoring cycle with the acoustic signal state evaluation deviation value corresponding to each environmental evaluation value interval stored in the signal database, and obtaining the acoustic signal state evaluation deviation value corresponding to the environmental evaluation value of each high-voltage electrical device in each monitoring cycle. This step can accurately find the corresponding acoustic signal state evaluation deviation value, and this matching method avoids the subjectivity of human judgment and improves the accuracy of the evaluation; because the evaluation value interval stored in the signal database is divided and verified according to historical data, it can reflect the environmental conditions of different high-voltage electrical devices in different monitoring cycles. By matching these intervals, the acoustic signal state of the high-voltage electrical equipment can be more objectively evaluated.

[0116] It should be noted that the embodiments and corresponding expressions provided in the present application are only one possible implementation method, but are not limited to only this implementation method and can be set according to the needs of the user.

[0117] It can be seen that the present application can dynamically determine the acoustic signal state evaluation deviation value of each high-voltage electrical equipment in each monitoring cycle by performing precise matching according to the environmental evaluation value, fully considering the differences and complexity under different environmental conditions, and thus achieving an improvement in the accuracy and reliability of the acoustic signal evaluation.

[0118] On the basis of the above embodiment, as a preferred embodiment, the above step S12: the specific steps of determining the acoustic signal state evaluation value of the high-voltage electrical equipment in each of the monitoring cycles according to the acoustic signal are: obtaining the acoustic signal frequency, equipment vibration frequency and sound signal strength in the acoustic signal in each monitoring cycle; obtaining the reference acoustic signal frequency, allowable deviation acoustic signal frequency, reference equipment vibration frequency, allowable deviation equipment vibration frequency, critical sound signal strength and critical environment evaluation value in the signal database; based on the acoustic signal state evaluation value expression, determining the acoustic signal state evaluation value corresponding to the acoustic signal frequency, equipment vibration frequency, sound signal strength, reference acoustic signal frequency, allowable deviation acoustic signal frequency, reference equipment vibration frequency, allowable deviation equipment vibration frequency, critical sound signal strength and critical environment evaluation value in the monitoring cycle;

[0119] Among them, the acoustic signal state evaluation value expression is:

[0120] ;

[0121] in, Characterization High voltage electrical equipment in Acoustic signal status evaluation value of a monitoring cycle; Characterize the equipment evaluation impact factor corresponding to the acoustic signal frequency; Characterize the equipment assessment impact factor corresponding to the equipment vibration frequency; Characterize the equipment evaluation impact factor corresponding to the sound signal strength; Characterize the equipment assessment impact factor corresponding to the environmental assessment value; Characterization High voltage electrical equipment in The frequency of the acoustic signal during a monitoring period; Characterize the reference acoustic signal frequency; Characterize the frequency of the acoustic signal of the allowable deviation; Characterization High voltage electrical equipment in Equipment vibration frequency during each monitoring period; Characterize the vibration frequency of the reference device; Characterize the permissible deviation of equipment vibration frequency; Characterization High voltage electrical equipment in The sound signal strength of a monitoring cycle; Characterize critical sound signal strength; Characterization High voltage electrical equipment in Environmental assessment value for each monitoring cycle; Characterize critical environmental assessment values; Equipment number characterizing high voltage electrical equipment; The period number that represents the monitoring period.

[0122] In this embodiment, the frequency of the acoustic signal can be analyzed using spectrum analysis technology; the vibration frequency of the equipment can be detected by a vibration sensor inside the high-voltage electrical equipment; and the strength of the sound signal can be measured by an acoustic emission sensor inside the high-voltage electrical equipment. There is a certain correlation between these three parameters. For example, local discharge inside high-voltage electrical equipment may simultaneously generate acoustic signals and vibration signals of a specific frequency, while the strength of the sound signal may increase with the increase of the discharge intensity or vibration amplitude. The equipment status evaluation value obtained by comprehensive analysis of the three parameters and the signal status evaluation value can reflect the overall operating status of the high-voltage electrical equipment during the current monitoring cycle, providing an important reference for the maintenance and management of the equipment.

[0123] In an embodiment, , , and The signal state assessment influencing factors corresponding to the acoustic signal frequency, equipment vibration frequency, sound signal strength and environmental assessment value preset in the signal database respectively quantitatively reflect the contribution of the above four parameters to the acoustic signal state assessment value, and can be directly retrieved from the signal database when used. Similarly, its reference acoustic signal frequency, reference equipment vibration frequency, allowable deviation acoustic signal frequency, allowable deviation equipment vibration frequency, critical sound signal strength and critical environmental assessment value are also stored in the signal database, and can be directly retrieved from the signal database when used, and the environmental assessment value can be determined according to the above method.

[0124] In the signal database, mapping sets are established for acoustic signal frequency, equipment vibration frequency, sound signal strength and environmental assessment value. These mapping sets can associate the measured values ​​of each parameter with the corresponding signal state assessment influencing factors. The mapping relationship can be many-to-one or one-to-one. When evaluating the acoustic signal state assessment value, the measured acoustic signal frequency, equipment vibration frequency, sound signal strength and environmental assessment value are input into their respective mapping sets. According to the mapping relationship, the signal state assessment influencing factors corresponding to these measured values ​​can be quickly found. Similarly, the value range of these influencing factors is limited to between 0 and 1.

[0125] On the basis of the above embodiments, as a preferred embodiment, the above step S13: the specific steps of determining each abnormal monitoring period based on the acoustic signal state evaluation deviation value and the acoustic signal state evaluation value are: obtaining the acoustic signal state evaluation threshold in the signal database; determining the reference signal state evaluation value corresponding to each monitoring period according to the acoustic signal state evaluation deviation value and the corresponding acoustic signal state evaluation value; wherein, the sum of the acoustic signal state evaluation deviation value and the corresponding acoustic signal state evaluation value is used as the reference signal state evaluation value; if the reference signal state evaluation value is greater than the acoustic signal state evaluation threshold, the current corresponding monitoring period is a normal monitoring period ; If the reference signal state evaluation value is not greater than the acoustic signal state evaluation threshold, the current corresponding monitoring period is an abnormal monitoring period; determine the corresponding acoustic signal energy operator according to each abnormal monitoring period; obtain the acoustic signal energy threshold in the signal database; if the acoustic signal energy operator is not less than the acoustic signal energy threshold, the acoustic signal corresponding to the current abnormal monitoring period is marked as a normal acoustic signal; if the acoustic signal energy operator is less than the acoustic signal energy threshold, the acoustic signal corresponding to the current abnormal monitoring period is marked as an abnormal acoustic signal; perform signal enhancement processing on the acoustic signal marked as normal, and perform signal suppression processing on the acoustic signal marked as abnormal.

[0126] In a specific embodiment, the acoustic signal state evaluation threshold is a reference value for judging whether the acoustic signal corresponding to the high-voltage electrical equipment is normal. By comparing the acoustic signal state evaluation value of the high-voltage electrical equipment in each monitoring cycle with the acoustic signal state evaluation threshold, the high-voltage electrical equipment with abnormalities and its corresponding monitoring cycle can be accurately screened out, so as to facilitate timely discovery and handling of equipment failures, prevent the expansion of failures, and ensure the safe and stable operation of the power grid; by regularly monitoring and evaluating the signal state of high-voltage electrical equipment, potential problems can be discovered and resolved in a timely manner, thereby improving the reliability and stability of the equipment.

[0127] Its energy operator (Teager energy operator) is a nonlinear operation used for signal processing. The energy operator can extract the edges and features of the signal, such as the peaks and valleys of the Gaussian function or the sawtooth function. It can effectively suppress noise and retain the edges and features of the signal at the same time. It can also be used to detect the amplitude, frequency and phase of the signal. The energy operator of the acoustic signal corresponding to each abnormal monitoring period can be obtained by using a microphone array to collect multi-directional acoustic signals during the operation of high-voltage electrical equipment, and performing wavelet packet decomposition on the signal data to extract different frequency components in the signal, and then applying the Teager energy operator calculation method to the signal after wavelet packet decomposition. For example, the calculation formula for discrete signals is: Energy operator = ; where x[n] represents the nth data point in the sequence. When performing signal enhancement processing on normal acoustic signals, low-pass filters, high-pass filters, band-pass filters or band-stop filters can be used. The appropriate filter type can be selected according to the frequency characteristics of the acoustic signal. At the same time, advanced denoising techniques such as wavelet transform and adaptive filtering can also be considered to remove noise more accurately. For suppression processing of other signals, noise suppression algorithms such as mean filtering, median filtering, adaptive filtering, etc. can be used to suppress or eliminate other identified signal components. In addition, frequency domain processing techniques such as Fourier transform and spectrum analysis can also be considered to analyze and process the signal in the frequency domain to further suppress or eliminate other signal components.

[0128] In summary, the acoustic signal enhancement method provided in this application has the following technical effects or advantages:

[0129] 1. This application uses an acoustic signal enhancement method to perform targeted enhancement processing on the acoustic signals of each abnormal monitoring period, thereby improving signal quality and fault location accuracy, and enhancing the operation and maintenance personnel's monitoring and management capabilities of the status of high-voltage electrical equipment.

[0130] 2. This application can dynamically determine the acoustic signal status assessment deviation value of each high-voltage electrical equipment in each monitoring cycle by performing precise matching based on the environmental assessment value, fully considering the differences and complexity under different environmental conditions, thereby achieving improved accuracy and reliability of acoustic signal assessment.

[0131] 3. This application can accurately identify the monitoring period with abnormal signal status by screening according to the signal status evaluation value of each high-voltage electrical equipment in each monitoring period, thereby realizing precise monitoring of the acoustic signal status of the high-voltage electrical equipment.

[0132] In the above embodiments, the acoustic signal enhancement method is described in detail, and the present application also provides an embodiment of the acoustic signal enhancement device. It should be noted that the present application describes the embodiments of the device part from two perspectives, one is based on the functional module perspective, and the other is based on the hardware perspective.

[0133] Figure 3 A module diagram of an acoustic signal enhancement device provided in another embodiment of the present application includes:

[0134] The acquisition module 11 is used to obtain the acoustic signal, environmental interference data and environmental noise data corresponding to the high-voltage electrical equipment in each monitoring cycle;

[0135] A first determination module 12 is used to determine the acoustic signal state evaluation deviation value of the high-voltage electrical equipment in each monitoring period according to the environmental interference data and the environmental noise data;

[0136] A second determination module 13 is used to determine the acoustic signal state evaluation value of the high-voltage electrical equipment in each monitoring period according to the acoustic signal;

[0137] The signal enhancement module 14 is used to determine each abnormal monitoring period based on the acoustic signal state evaluation deviation value and the acoustic signal state evaluation value, and perform signal enhancement processing on the acoustic signal corresponding to each abnormal monitoring period.

[0138] Since the embodiments of the apparatus part correspond to the embodiments of the method part, please refer to the description of the embodiments of the method part for the embodiments of the apparatus part, which will not be repeated here.

[0139] Figure 4 A structural diagram of an electronic device provided in another embodiment of the present application, such as Figure 4 As shown, the electronic device includes: a memory 20 for storing a computer program;

[0140] The processor 21 is used to implement the steps of the acoustic signal enhancement method mentioned in the above embodiment when executing the computer program.

[0141] The electronic device provided in this embodiment may include but is not limited to a smart phone, a tablet computer, a laptop computer or a desktop computer.

[0142] Among them, the processor 21 may include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor 21 can be implemented in at least one hardware form of a digital signal processor (DSP), a field-programmable gate array (FPGA), and a programmable logic array (PLA). The processor 21 may also include a main processor and a coprocessor. The main processor is a processor for processing data in the awake state, also known as a central processing unit (CPU); the coprocessor is a low-power processor for processing data in the standby state. In some embodiments, the processor 21 may be integrated with a graphics processing unit (GPU), which is responsible for rendering and drawing the content to be displayed on the display screen. In some embodiments, the processor 21 may also include an artificial intelligence (AI) processor, which is used to process computing operations related to machine learning.

[0143] The memory 20 may include one or more computer-readable storage media, which may be non-transitory. The memory 20 may also include a high-speed random access memory, and a non-volatile memory, such as one or more disk storage devices, flash memory storage devices. In this embodiment, the memory 20 is at least used to store the following computer program 201, wherein the computer program can implement the relevant steps of the acoustic signal enhancement method disclosed in any of the aforementioned embodiments after being loaded and executed by the processor 21. In addition, the resources stored in the memory 20 may also include an operating system 202 and data 203, etc., and the storage method may be temporary storage or permanent storage. Among them, the operating system 202 may include Windows, Unix, Linux, etc.

[0144] In some embodiments, the electronic device may further include a display screen 22 , an input / output interface 23 , a communication interface 24 , a power source 25 , and a communication bus 26 .

[0145] Those skilled in the art will understand that Figure 4 The structure shown in the figure does not constitute a limitation on the electronic device, and may include more or fewer components than shown in the figure.

[0146] The electronic device provided in the embodiment of the present application includes a memory and a processor. When the processor executes the program stored in the memory, it can implement the above-mentioned acoustic signal enhancement method and have the same beneficial effects.

[0147] Finally, the present application also provides an embodiment corresponding to a computer-readable storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps recorded in the above method embodiment are implemented.

[0148] It is understandable that if the method in the above embodiment is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk and other media that can store program code.

[0149] The above is a detailed introduction to an acoustic signal enhancement method, device and medium provided by the present application. The various embodiments in the specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same and similar parts between the embodiments can refer to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can refer to the method part description. It should be pointed out that for ordinary technicians in this technical field, without departing from the principles of the present application, several improvements and modifications can be made to the present application, and these improvements and modifications also fall within the scope of protection of the claims of the present application.

[0150] It should also be noted that, in this specification, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the statement "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or device including the element.

Claims

1. A method for enhancing an acoustic signal, characterized in that: include: Obtain the acoustic signals, environmental interference data and environmental noise data corresponding to high-voltage electrical equipment in each monitoring cycle; Determining an acoustic signal state evaluation deviation value of the high-voltage electrical equipment in each of the monitoring cycles according to the environmental interference data and the environmental noise data; Determining an acoustic signal state evaluation value of the high-voltage electrical equipment in each of the monitoring cycles according to the acoustic signal; Each abnormal monitoring period is determined based on the acoustic signal state evaluation deviation value and the acoustic signal state evaluation value, and signal enhancement processing is performed on the acoustic signal corresponding to each abnormal monitoring period.

2. The acoustic signal enhancement method according to claim 1, characterized in that: The step of determining the acoustic signal state evaluation deviation value of the high-voltage electrical equipment in each monitoring period according to the environmental interference data and the environmental noise data includes: Determine the environmental interference assessment value of the high-voltage electrical equipment in each monitoring period based on the environmental interference data; Determine the environmental noise assessment value of the high-voltage electrical equipment in each of the monitoring cycles based on the environmental noise data; Determining the environmental assessment value of the high-voltage electrical equipment in each of the monitoring cycles according to the environmental interference assessment value and the environmental noise assessment value; Based on the corresponding relationship between the deviation value and the evaluation value, the acoustic signal state evaluation deviation value corresponding to the environmental evaluation value in each monitoring cycle is determined.

3. The acoustic signal enhancement method according to claim 2, characterized in that: The determining the environmental interference assessment value of the high-voltage electrical equipment in each monitoring period based on the environmental interference data includes: Obtaining electromagnetic interference intensity, intermodulation interference intensity and air pressure change rate in the environmental interference data in each monitoring cycle; Obtain critical electromagnetic interference intensity, critical intermodulation interference intensity and critical air pressure change rate in the signal database; Based on the environmental interference evaluation value expression, determine the environmental interference evaluation value corresponding to the magnetic interference intensity, the intermodulation interference intensity, the air pressure change rate, the critical electromagnetic interference intensity, the critical intermodulation interference intensity and the critical air pressure change rate in each monitoring period; The environmental interference evaluation value expression is: ； in, Characterization The high voltage electrical equipment is in The environmental interference assessment value of each monitoring period; Characterize the environmental interference assessment impact factor corresponding to the electromagnetic interference intensity; Characterize the environmental interference assessment impact factor corresponding to the intermodulation interference intensity; Characterize the environmental interference assessment impact factor corresponding to the air pressure change rate; Characterization The high voltage electrical equipment is in The electromagnetic interference intensity of each monitoring period; Characterizing the critical electromagnetic interference intensity; Characterization The high voltage electrical equipment is in The intermodulation interference intensity of each monitoring period; Characterizing the critical intermodulation interference intensity; Characterization The high voltage electrical equipment is in The rate of change of the air pressure during each of the monitoring cycles; Characterizing the critical air pressure change rate; An equipment number characterizing the high-voltage electrical equipment; The cycle number that characterizes the monitoring cycle.

4. The acoustic signal enhancement method according to claim 2, characterized in that: The determining, based on the environmental noise data, an environmental noise assessment value of the high-voltage electrical equipment in each monitoring period comprises: Obtaining harmonic signal strength and noise strength in the environmental noise data in each of the monitoring cycles; Obtaining critical harmonic signal intensity and critical noise intensity in a signal database; Based on the environmental noise evaluation value expression, determining the environmental noise evaluation value corresponding to the harmonic signal strength, the noise strength, the critical harmonic signal strength and the critical noise strength in each monitoring period; The environmental noise evaluation value is expressed as: ； in, Characterization The high voltage electrical equipment is in The environmental noise assessment value of each monitoring period; Characterize the environmental noise assessment impact factor corresponding to the harmonic signal intensity; Characterize the environmental noise assessment impact factor corresponding to the noise intensity; Characterization The high voltage electrical equipment is in The harmonic signal strength of each monitoring period; Characterizing the critical harmonic signal strength; Characterization The high voltage electrical equipment is in The noise intensity of each monitoring period; Characterizing the critical noise intensity; An equipment number characterizing the high-voltage electrical equipment; The cycle number that characterizes the monitoring cycle.

5. The acoustic signal enhancement method according to claim 2, characterized in that: The step of determining the environmental assessment value of the high-voltage electrical equipment in each monitoring period according to the environmental interference assessment value and the environmental noise assessment value comprises: Obtaining a critical environmental interference assessment value and a critical environmental noise assessment value in a signal database; Based on the environmental assessment value expression, determining the environmental interference assessment value, the environmental noise assessment value, the critical environmental interference assessment value and the environmental assessment value corresponding to the critical environmental noise assessment value in each monitoring period; Wherein, the environmental assessment value expression is: ； in, Characterization The high voltage electrical equipment is in The environmental assessment value of each monitoring period; Characterize the environmental assessment impact factor corresponding to the environmental interference assessment value; Characterize the environmental assessment impact factor corresponding to the environmental noise assessment value; Characterization The high voltage electrical equipment is in The environmental interference assessment value of each monitoring period; Characterizing the critical environmental interference assessment value; Characterization The high voltage electrical equipment is in The environmental noise assessment value of each monitoring period; Characterizing the critical environmental noise assessment value; An equipment number characterizing the high-voltage electrical equipment; The cycle number that characterizes the monitoring cycle.

6. The acoustic signal enhancement method according to claim 1, characterized in that: Determining the acoustic signal state evaluation value of the high-voltage electrical equipment in each monitoring period according to the acoustic signal includes: Acquiring the acoustic signal frequency, the equipment vibration frequency and the sound signal strength in the acoustic signal in each of the monitoring cycles; Obtaining a reference acoustic signal frequency, an allowable deviation acoustic signal frequency, a reference equipment vibration frequency, an allowable deviation equipment vibration frequency, a critical sound signal intensity, and a critical environment assessment value in a signal database; Based on the acoustic signal state evaluation value expression, determine the acoustic signal state evaluation value corresponding to the acoustic signal frequency, the device vibration frequency, the sound signal strength, the reference acoustic signal frequency, the allowable deviation acoustic signal frequency, the reference device vibration frequency, the allowable deviation device vibration frequency, the critical sound signal strength and the critical environment evaluation value in the monitoring period; Wherein, the acoustic signal state evaluation value expression is: ； in, Characterization The high voltage electrical equipment is in The acoustic signal state evaluation value of each monitoring period; Characterizing the equipment evaluation impact factor corresponding to the frequency of the acoustic signal; Characterize the equipment assessment impact factor corresponding to the vibration frequency of the equipment; Characterize the device evaluation impact factor corresponding to the sound signal strength; Characterize the equipment assessment impact factor corresponding to the environmental assessment value; Characterization The high voltage electrical equipment is in The acoustic signal frequency of each of the monitoring cycles; Characterizing the reference acoustic signal frequency; Characterizing the frequency of the acoustic signal of the allowable deviation; Characterization The high voltage electrical equipment is in The vibration frequency of the device during each of the monitoring cycles; Characterizing the vibration frequency of the reference device; Characterizing the vibration frequency of the permissible deviation device; Characterization The high voltage electrical equipment is in The sound signal strength of each monitoring period; Characterizing the critical sound signal strength; Characterization The high voltage electrical equipment is in The environmental assessment value of each monitoring period; Characterizing the critical environmental assessment value; An equipment number characterizing the high-voltage electrical equipment; The cycle number that characterizes the monitoring cycle.

7. The acoustic signal enhancement method according to claim 1, characterized in that: The determining each abnormal monitoring period based on the acoustic signal state evaluation deviation value and the acoustic signal state evaluation value comprises: Acquiring an acoustic signal state evaluation threshold in a signal database; Determine the reference signal state evaluation value corresponding to each monitoring period according to the acoustic signal state evaluation deviation value and the corresponding acoustic signal state evaluation value; wherein the sum of the acoustic signal state evaluation deviation value and the corresponding acoustic signal state evaluation value is used as the reference signal state evaluation value; If the reference signal state evaluation value is greater than the acoustic signal state evaluation threshold, the current corresponding monitoring period is a normal monitoring period; If the reference signal state evaluation value is not greater than the acoustic signal state evaluation threshold, the currently corresponding monitoring period is the abnormal monitoring period.

8. The acoustic signal enhancement method according to claim 1, characterized in that: The performing signal enhancement processing on the acoustic signal corresponding to each abnormal monitoring period includes: Determining a corresponding acoustic signal energy operator according to each of the abnormal monitoring cycles; Acquiring an acoustic signal energy threshold in a signal database; If the acoustic signal energy operator is not less than the acoustic signal energy threshold, marking the acoustic signal corresponding to the current abnormal monitoring period as a normal acoustic signal; If the acoustic signal energy operator is less than the acoustic signal energy threshold, marking the acoustic signal corresponding to the current abnormal monitoring period as an abnormal acoustic signal; The signal enhancement process is performed on the acoustic signal marked as the normal one, and the signal suppression process is performed on the acoustic signal marked as the abnormal one.

9. An acoustic signal enhancement device, characterized in that: include: An acquisition module is used to acquire the acoustic signals, environmental interference data and environmental noise data corresponding to the high-voltage electrical equipment in each monitoring cycle; A first determination module is used to determine the acoustic signal state evaluation deviation value of the high-voltage electrical equipment in each monitoring period according to the environmental interference data and the environmental noise data; A second determination module is used to determine the acoustic signal state evaluation value of the high-voltage electrical equipment in each monitoring period according to the acoustic signal; A signal enhancement module is used to determine each abnormal monitoring period based on the acoustic signal state evaluation deviation value and the acoustic signal state evaluation value, and perform signal enhancement processing on the acoustic signal corresponding to each abnormal monitoring period.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the acoustic signal enhancement method according to any one of claims 1 to 8 are implemented.

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