Wearable power grid inspection voiceprint detection device

Abstract

According to the technical scheme, the wearable power grid inspection voiceprint detection device is characterized in that the wearable power grid inspection voiceprint detection device comprises an upper shell, the upper shell is assembled and fixed to the lower portion of the upper shell, an inner cover plate is arranged in a cavity between the upper shell and a lower shell, and a core board, a voiceprint array board, a type-c interface board and a tf card interface board are installed between the upper shell and the lower shell; the voiceprint array board is installed at the bottom of the lower shell, the core board is installed on the right side of the lower shell, the type-c interface board is installed on the left side of the lower shell, and the tf card interface board is installed above the type-c interface board. A central control system is arranged on the core board, and the central control system is connected with a voiceprint detection system. The wearable power grid inspection voiceprint detection device has the advantage of rapid recognition, the fault type can be rapidly recognized through voiceprint detection, the fault detection process is generally completed within a few seconds, and the efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the field of power grids, and in particular to a wearable power grid inspection voiceprint detection device. Background Art

[0002] Power grid inspection is an important task to ensure the safe operation of the power grid. Its importance is mainly reflected in the following aspects: The scale of the power grid continues to expand: With the development of the economy and the growth of the population, the scale of the power grid continues to expand and the coverage area is wider. It is necessary to increase the inspection efforts to ensure the safe operation of the power grid. Equipment aging and frequent failures: As the power grid equipment increases in use, there is a risk of aging and failure. Regular inspections and maintenance are required to detect and eliminate faults in a timely manner. Impact of natural disasters: Natural disasters such as typhoons and heavy rains may cause damage to power grid equipment, which requires timely inspections and repairs to ensure the normal operation of the power grid.

[0003] The shortcomings of existing technologies are mainly reflected in the following aspects: The traditional inspection method is inefficient: The traditional power grid inspection method mainly relies on manual inspection, which is time-consuming and labor-intensive, and is prone to missed inspections and false inspections. Insufficient data analysis capabilities: The traditional power grid inspection method cannot effectively analyze and process large amounts of data, and cannot detect potential fault hazards. High on-site safety risks: Manual inspections have certain safety risks, such as climbing high-voltage poles, which are prone to accidents.

[0004] Therefore, it is necessary to introduce advanced technical means, such as drones, artificial intelligence, and big data analysis, to improve the efficiency and accuracy of power grid inspections, reduce safety risks, and ensure the safe operation of the power grid. And drone defect detection technology has received widespread attention in recent years, mainly due to the increasing application of drones in industry, agriculture, construction and other fields. Drones can quickly and effectively perform large-scale inspections, especially in difficult-to-reach or dangerous areas. However, the existing technology still has some shortcomings and defects in drone defect detection.

[0005] Existing technologies often rely on traditional image processing algorithms when processing and analyzing data collected by drones, which makes it difficult to cope with detection needs in complex environments. The application of machine learning and deep learning has not yet been popularized, resulting in insufficient accuracy and efficiency in defect identification. Summary of the invention

[0006] In view of the problems mentioned in the background technology, the purpose of the present invention is to provide a wearable power grid inspection voiceprint detection device to solve the problems mentioned in the background technology.

[0007] The above technical objectives of the present invention are achieved through the following technical solutions:

[0008] A wearable power grid inspection voiceprint detection device comprises an upper shell, an upper shell is assembled and fixed below the upper shell, an internal cover plate is arranged in the chamber between the upper shell and the lower shell, a core board, a voiceprint array board, a type-c interface board and a TF card interface board are installed between the upper shell and the lower shell, the voiceprint array board is installed at the bottom of the lower shell, the core board is installed on the right side of the lower shell, the type-c interface board is installed on the left side of the lower shell, and the TF card interface board is installed above the type-c interface board; a central control system is arranged on the core board, and the central control system is connected to a voiceprint detection system.

[0009] Preferably, the upper shell and the lower shell are connected by a hinge.

[0010] Preferably, the voiceprint array board, core board, and type-c interface board are fixed to the lower shell by screws respectively, and the TF card interface board is fixed to the type-c interface board by screws.

[0011] Preferably, the central control system is connected to the control terminal through the first communication module, and is also connected to the microphone and the acquisition box through the second communication module. The central control system is also connected to the voiceprint sample database and the voiceprint sample model library. After collecting the information, the voiceprint array board transmits the voiceprint information to the voiceprint sample database through the voiceprint sample data transmission module, and the voiceprint sample model library is constructed by training the data of the voiceprint sample database.

[0012] Preferably, the first communication module and the second communication module are 4G communication modules, 5G communication modules or wifi communication modules.

[0013] Preferably, the central control system is connected to a converter transformer body sound signal power spectrum analysis monitoring module and a converter transformer radiation sound pressure distribution monitoring module, the converter transformer body sound signal power spectrum analysis monitoring module extracts the power spectrum of the core winding vibration sound signal and the power spectrum of the radiator radiation sound signal; the converter transformer radiation sound pressure distribution monitoring module measures the sound pressure distribution in the sound insulation enclosure, the converter transformer body sound signal power spectrum analysis monitoring module and the converter transformer radiation sound pressure distribution monitoring module respectively compare the extraction results with the voiceprint sample model library, and transmit the results to the hollow system.

[0014] Preferably, the central control system is connected to a converter transformer sound power analysis and monitoring module, which analyzes and estimates the radiated sound power of the converter transformer; the converter transformer sound power analysis and monitoring module estimates and corrects the influence of the sound insulation cover on the test results; the central control system is connected to a converter transformer 24h soundprint change analysis and monitoring module, which performs power spectrum analysis, noise energy distribution A-weighted sound pressure level 1 / 3 octave distribution analysis, and transformer body vibration radiation sound signal harmonic energy ratio analysis.

[0015] Preferably, the central control system is connected to a converter transformer lateral acoustic feature comparison and analysis monitoring module, which collects voiceprint data and performs statistical comparison on test results of the same model; the central control system is connected to a converter transformer voiceprint analysis reporting module, which outputs a complete and comprehensive analysis report based on the detection item content, and the report content includes converter transformer equipment model information, detection content and plan, acoustic signal original data, data analysis process, data charts and descriptions, and analysis conclusions.

[0016] In summary, the present invention mainly has the following beneficial effects:

[0017] The advantages of this wearable power grid inspection voiceprint detection device are mainly reflected in the following aspects: Quick identification: Voiceprint detection can quickly identify the type of fault, and the fault detection process is usually completed within a few seconds, which improves efficiency. Non-contact: Voiceprint detection does not require any physical contact from the user. High accuracy: Voiceprints are unique and can effectively distinguish different individuals, reducing the probability of misidentification and missed identification. Cost-effectiveness: Compared with other detection technologies, the implementation cost of voiceprint detection is lower, the equipment requirements are simple, and it is suitable for a wide range of applications. Versatility: Voiceprint detection can be used in a variety of application scenarios such as fault analysis and user behavior monitoring, which increases its value. This wearable power grid inspection voiceprint detection device adopts the advantages of wearable design, and also has the advantage of easy installation. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is one of the structural schematic diagrams of the present invention;

[0019] Figure 2 This is the second structural schematic diagram of the present invention;

[0020] Figure 3 This is the third structural schematic diagram of the present invention.

[0021] In the picture: 1. Lower shell; 2. Internal cover; 3. Upper shell; 4. Screws; 5. Type-C interface board; 6. TF card interface board installation; 7. Core board. DETAILED DESCRIPTION

[0022] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0023] refer to Figures 1 to 3A wearable power grid patrol voiceprint detection device comprises an upper shell 3, the upper shell 3 is assembled and fixed below the upper shell 3, an internal cover plate 2 is arranged in the chamber between the upper shell 3 and the lower shell 1, a core board 7, a voiceprint array board, a type-c interface board 5 and a TF card interface board are installed between the upper shell 3 and the lower shell 1, the voiceprint array board is installed at the bottom of the lower shell 1, the core board 7 is installed on the right side of the lower shell 1, the type-c interface board 5 is installed on the left side of the lower shell 1, and the TF card interface board is installed above the type-c interface board 5; a central control system is arranged on the core board 7, and the central control system is connected to the voiceprint detection system; patrol voiceprint detection can be realized by utilizing the cooperation and connection of the core board 7, the voiceprint array board, the type-c interface board 5 and the TF card interface board, and the hardware structure is simple and reliable.

[0024] Among them, the upper shell 3 is connected to the lower shell 1 by a hinge, and the hinge connection between the upper shell 3 and the lower shell 1 can facilitate maintenance. The voiceprint array board, the core board 7, and the type-c interface board 5 are fixed to the lower shell 1 by screws 4 respectively, and the TF card interface board is fixed to the type-c interface board 5 by screws 4; the connection with screws 4 can facilitate assembly and disassembly.

[0025] The central control system is connected to the control terminal through the first communication module, and is also connected to the pickup and the acquisition box through the second communication module. The central control system is also connected to the voiceprint sample database and the voiceprint sample model library. After collecting information, the voiceprint array board transmits the voiceprint information to the voiceprint sample database through the voiceprint sample data transmission module, and the voiceprint sample model library is constructed by training the data of the voiceprint sample database. The first communication module and the second communication module are 4G communication modules, 5G communication modules or wifi communication modules.

[0026] Among them, the central control system is connected to the converter transformer body sound signal power spectrum analysis monitoring module and the converter transformer radiation sound pressure distribution monitoring module. The converter transformer body sound signal power spectrum analysis monitoring module extracts the power spectrum of the core winding vibration sound signal and the power spectrum of the radiator radiation sound signal; the converter transformer radiation sound pressure distribution monitoring module measures the sound pressure distribution in the sound insulation cover. The converter transformer body sound signal power spectrum analysis monitoring module and the converter transformer radiation sound pressure distribution monitoring module respectively compare the extraction results with the voiceprint sample model library and transmit the results to the hollow system.

[0027] Among them, the central control system is connected to the converter transformer sound power analysis and monitoring module, which analyzes and estimates the radiated sound power of the converter transformer; the converter transformer sound power analysis and monitoring module estimates and corrects the impact of the sound insulation cover on the test results; the central control system is connected to the converter transformer 24h soundprint change analysis and monitoring module, which performs power spectrum analysis, noise energy distribution A-weighted sound pressure level 1 / 3 octave distribution analysis, and transformer body vibration radiation sound signal harmonic energy ratio analysis. The central control system is connected to the converter transformer transverse acoustic feature comparison and analysis monitoring module, which collects soundprint data and performs statistical comparison for the test results of the same model; the central control system is connected to the converter transformer soundprint analysis report module, which outputs a complete and comprehensive analysis report based on the detection item content. The report content includes converter transformer equipment model information, detection content and plan, sound signal original data, data analysis process, data charts and descriptions, and analysis conclusions.

[0028] Among them, the advantages of this wearable power grid inspection voiceprint detection device are mainly reflected in the following aspects: Fast identification: Voiceprint detection can quickly identify the type of fault, and the fault detection process is usually completed within a few seconds, which improves efficiency. Non-contact: Voiceprint detection does not require any physical contact from the user. High accuracy: Voiceprints are unique and can effectively distinguish different individuals, reducing the probability of misidentification and missed identification. Cost-effectiveness: Compared with other detection technologies, the implementation cost of voiceprint detection is lower, the equipment requirements are simple, and it is suitable for a wide range of applications. Versatility: Voiceprint detection can be used in a variety of application scenarios such as fault analysis and user behavior monitoring, which increases its value. This wearable power grid inspection voiceprint detection device adopts the advantages of wearable design, and also has the advantage of easy installation.

[0029] Among them, the wearable power grid inspection voiceprint detection device integrates voiceprint + video monitoring and algorithm recognition technology, starts the capture and video monitoring functions through the association strategy, improves the remote inspection perception, and explores the all-round audio-visual perception ability of equipment operation and inspection and the transient abnormal monitoring ability. Based on the current situation that abnormal state data is small and difficult to collect, it is pioneered to use only normal state data for modeling, to generate errors to measure the degree of deviation from the steady state, and to achieve abnormal warning solutions; real-time: the system can monitor the operating status of the converter transformer in real time, timely discover and solve potential problems, effectively avoid equipment damage, and improve equipment reliability and stability.

[0030] Among them, the wearable power grid inspection voiceprint detection device has good security: the service can timely discover and warn potential safety hazards, effectively avoid equipment failures and accidents, and ensure the safe operation of the power system. This is crucial for the power industry, because any failures and accidents may have a great impact on people's production and life. The non-contact monitoring method does not require the use of a large amount of chemical reagents or attached sensors, will not pollute the environment, achieve environmental protection effects, and at the same time ensure the accuracy and reliability of monitoring data.

[0031] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A wearable power grid inspection voiceprint detection device, characterized in that: The invention comprises an upper shell (3), wherein the upper shell (3) is assembled and fixed below the upper shell (3), an internal cover plate (2) is arranged in the chamber between the upper shell (3) and the lower shell (1), a core board (7), a voiceprint array board, a type-c interface board (5) and a TF card interface board are installed between the upper shell (3) and the lower shell (1), the voiceprint array board is installed at the bottom of the lower shell (1), the core board (7) is installed on the right side of the lower shell (1), the type-c interface board (5) is installed on the left side of the lower shell (1), and the TF card interface board (6) is installed above the type-c interface board (5); a central control system is arranged on the core board (7), and the central control system is connected to a voiceprint detection system.

2. A wearable power grid inspection voiceprint detection device according to claim 1, characterized in that: The upper shell (3) and the lower shell (1) are connected via a hinge.

3. A wearable power grid inspection voiceprint detection device according to claim 1, characterized in that: The voiceprint array board, the core board (7), and the type-c interface board (5) are fixed to the lower shell (1) by screws (4), respectively, and the TF card interface board is fixed to the type-c interface board (5) by screws (4).

4. A wearable power grid inspection voiceprint detection device according to claim 1, characterized in that: The central control system is connected to the control terminal through the first communication module, and is also connected to the microphone and the acquisition box through the second communication module. The central control system is also connected to the voiceprint sample database and the voiceprint sample model library. After collecting the information, the voiceprint array board transmits the voiceprint information to the voiceprint sample database through the voiceprint sample data transmission module, and the voiceprint sample model library is constructed by training the data of the voiceprint sample database.

5. A wearable power grid inspection voiceprint detection device according to claim 4, characterized in that: The first communication module and the second communication module are 4G communication modules, 5G communication modules or wifi communication modules.

6. A wearable power grid inspection voiceprint detection device according to claim 1, characterized in that: The central control system is connected to a converter transformer body sound signal power spectrum analysis monitoring module and a converter transformer radiation sound pressure distribution monitoring module. The converter transformer body sound signal power spectrum analysis monitoring module extracts the power spectrum of the core winding vibration sound signal and the power spectrum of the radiator radiation sound signal; the converter transformer radiation sound pressure distribution monitoring module measures the sound pressure distribution in the sound insulation cover. The converter transformer body sound signal power spectrum analysis monitoring module and the converter transformer radiation sound pressure distribution monitoring module respectively compare the extraction results with the voiceprint sample model library, and transmit the results to the hollow system.

7. A wearable power grid inspection voiceprint detection device according to claim 1, characterized in that: The central control system is connected to a converter transformer sound power analysis and monitoring module, which analyzes and estimates the radiated sound power of the converter transformer; the converter transformer sound power analysis and monitoring module estimates and corrects the influence of the sound insulation cover on the test results; the central control system is connected to a converter transformer 24h soundprint change analysis and monitoring module, which performs power spectrum analysis, noise energy distribution A-weighted sound pressure level 1 / 3 octave distribution analysis, and transformer body vibration radiation sound signal harmonic energy ratio analysis.

8. A wearable power grid inspection voiceprint detection device according to claim 1, characterized in that: The central control system is connected to a converter transformer lateral acoustic feature comparison and analysis monitoring module. After collecting voiceprint data, the converter transformer lateral acoustic feature comparison and analysis monitoring module performs statistical comparison on the test results of the same model; the central control system is connected to a converter transformer voiceprint analysis report module. Based on the detection item content, the converter transformer voiceprint analysis report module outputs a complete and comprehensive analysis report. The report content includes converter transformer equipment model information, detection content and plan, acoustic signal original data, data analysis process, data charts and descriptions, and analysis conclusions.

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