CN213240378U

CN213240378U - FPGA-based microphone array non-invasive type broadband sound wave real-time imaging detection system

Info

Publication number: CN213240378U
Application number: CN202021031391.0U
Authority: CN
Inventors: 吴万里; 马德平; 陶军泽; 陶志豪; 李俊岭; 吴庆贺; 梁觉玺
Original assignee: ZHENGZHOU JINGCHENG ELECTRIC POWER EQUIPMENT CO LTD
Current assignee: Zhengzhou Jingcheng Intelligent Technology Co ltd
Priority date: 2020-06-08
Filing date: 2020-06-08
Publication date: 2021-05-18
Anticipated expiration: 2030-06-08

Abstract

The utility model provides a microphone array non-invasive formula wide band sound wave real-time imaging detecting system based on FPGA, include: the two-dimensional area array comprises a microphone array module, an FPGA data processing module, an MCU control module, a 4G network module, a camera module, a liquid crystal display module and a power supply module, wherein the microphone array module is electrically connected to the FPGA data processing module, and the FPGA data processing module, the 4G network module, the camera module and the liquid crystal display module are respectively and electrically connected to the MCU control module. Through the technical scheme of the utility model, entire system integrates the degree height, can real-time nondestructive test, sound wave signal frequency channel cover extensively, anti-interference and data processing ability reinforce, positioning accuracy height.

Description

FPGA-based microphone array non-invasive type broadband sound wave real-time imaging detection system

Technical Field

The utility model relates to a signal processing technology field particularly, relates to a microphone array non-intrusive formula wide band sound wave real-time imaging detecting system based on FPGA.

Background

In the industrial production process, various faults of various electrical equipment, pipeline gas leakage and abnormal sound waves generated by production equipment have great influence on the safe production and reliable economic operation of equipment facilities, and the fault detection plays a more important role in various production equipment. In the case of electrical equipment, from the statistics of faults over the years, partial discharge is a major cause of insulation degradation of the electrical equipment. At present, the main methods for positioning the partial discharge of the electrical equipment include an electrical positioning method, a light positioning method, an X-ray excitation positioning method, an infrared detection method, a radio interference voltage method, a chemical detection method, an ultrahigh frequency positioning method, an ultrasonic positioning method and the like. The above methods only have the advantages of simple principle of ultrasonic positioning method, direct positioning of partial discharge position, strong anti-electromagnetic interference capability, low cost of detection equipment, direct realization of space positioning, easy realization of on-line and off-line detection, etc., but the traditional ultrasonic positioning system has low integration level, mostly adopts a single microphone sensor, has low sensitivity of the single microphone sensor and low performance of a positioning algorithm based on 'time delay estimation', can only be used for sound wave detection of a specific frequency band, and cannot realize broadband detection. The array signal of partial discharge acquired by a microphone array is different from a common signal processing mode, the spatial domain characteristic of the signal is mainly utilized to enhance the signal and effectively extract the spatial domain information of the signal, a DSP is usually adopted during signal processing, but the characteristics of large processing data volume of the array signal and real-time equipment positioning are realized, the DSP is utilized for processing, the requirements are difficult to meet, and an effective solution is not available at present.

SUMMERY OF THE UTILITY MODEL

The utility model discloses just based on one of above-mentioned technical problem at least, provided a new microphone array non-intrusive formula wide band sound wave real-time imaging detection system based on FPGA, entire system integrates the degree height, can real-time nondestructive test, sound wave signal frequency channel cover extensively, anti-interference and data processing ability reinforce, positioning accuracy height.

In view of this, according to the utility model provides a microphone array non-invasive wide band sound wave real-time imaging detection system based on FPGA, include: the two-dimensional area array comprises a microphone array module, an FPGA data processing module, an MCU control module, a 4G network module, a camera module, a liquid crystal display module and a power supply module, wherein the microphone array module is electrically connected to the FPGA data processing module, and the FPGA data processing module, the 4G network module, the camera module and the liquid crystal display module are respectively and electrically connected to the MCU control module.

In the above technical solution, preferably, the camera module is disposed at the center of the two-dimensional area array.

In any of the above technical solutions, preferably, the microphone array module is used to collect signals generated by the device to be fault-located, and transmits the collected signals to the FPGA data processing module, processes the signals by utilizing DOA algorithm based on the FPGA data processing module, so as to obtain the position angle information of the signal and send the position angle information of the signal to the MCU control module, the camera module is used for collecting the video information of the equipment to be positioned, and sends the collected video information to the MCU control module, the MCU control module carries out superposition processing on the position angle information of the signal and the video information to obtain the position of the equipment to be positioned with the fault and displays the position based on the liquid crystal display module, the signals are multi-channel wide-frequency-band array signals formed by sound wave signals received by the microphone array module.

In any one of the above technical solutions, preferably, the MCU control module wirelessly communicates with a remote background through the 4G network module.

Through the technical scheme, the sound wave signals generated when the to-be-faulted positioning equipment breaks down or multi-channel wide-frequency-band array signals of other applicable occasions are acquired based on 124 microphone arrays, the DOA algorithm and the FPGA are utilized to quickly process the array signals to obtain the position angle information (including a shooting azimuth angle and a pitching angle) of the signals, the position angle information and the camera real-time video are superposed, the fault position of the to-be-faulted positioning equipment can be found more intuitively through a touch liquid crystal display screen, the good interactivity is achieved, in addition, the 4G network module can be utilized to enable the system to have detection capability, the acquired data are uploaded and remotely communicated with a background, and the remote background can be conveniently traced based on the uploaded data.

Drawings

Fig. 1 shows a block diagram of a non-invasive wideband sound wave real-time imaging detection system of a microphone array based on an FPGA according to an embodiment of the present invention.

Detailed Description

In order to make the aforementioned objects, features and advantages of the present invention more clearly understood, the present invention will be described in further detail with reference to the accompanying drawings and detailed description. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.

The technical solution of the present invention is further explained with reference to fig. 1 as follows:

as shown in fig. 1, the FPGA-based microphone array non-invasive broadband acoustic wave real-time imaging detection system includes: the system comprises a microphone array module 10, an FPGA data processing module 11, an MCU control module 12, a 4G network module 13, a camera module 14, a liquid crystal display module 15 and a power supply module 16, wherein the two-dimensional area array is formed by 124 microphones.

The microphone array module 10 is electrically connected to the FPGA data processing module 11, and the FPGA data processing module 11, the 4G network module 13, the camera module 14 and the liquid crystal display module 15 are respectively electrically connected to the MCU control module 12. Preferably, the camera module 14 is disposed in the center of the two-dimensional area array.

The system specifically works on the principle that: the microphone array module 10 collects sound wave signals generated by equipment to be subjected to fault positioning, the collected signals are sent to the FPGA data processing module 11, the signals are processed by utilizing a DOA algorithm based on the FPGA data processing module 11 to obtain position and angle information of the signals, the position and angle information of the signals obtained after the DOA algorithm processing is sent to the MCU control module 12, the camera module 14 collects video information of the equipment to be subjected to fault positioning and sends the collected video information to the MCU control module 12, the MCU control module 12 performs superposition processing on the position and angle information and the video information of the signals to obtain the position of the equipment to be subjected to fault positioning and displays the position of the equipment to be subjected to fault positioning based on the liquid crystal display module 15, and further the MCU control module 12 performs wireless communication with a remote background through the 4G network module 13. The method comprises the steps of acquiring sound wave signals generated when a to-be-faulted positioning device breaks down based on 124 microphone arrays, rapidly processing array signals by utilizing a DOA algorithm and an FPGA to obtain position angle information (including an emitting azimuth angle and a pitching angle) of the signals, superposing the position angle information and real-time videos of cameras, and finding the fault position of the to-be-faulted positioning device more intuitively through a touch liquid crystal display screen.

In addition, the FPGA-based microphone array non-invasive broadband sound wave real-time imaging detection system can be packaged in a handheld shell, so that the system is convenient to carry and use.

The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. The utility model provides a microphone array non-invasive wide band sound wave real-time imaging detecting system based on FPGA which characterized in that includes:

the two-dimensional area array comprises a microphone array module, an FPGA data processing module, an MCU control module, a 4G network module, a camera module, a liquid crystal display module and a power supply module, wherein the microphone array module is electrically connected to the FPGA data processing module, and the FPGA data processing module, the 4G network module, the camera module and the liquid crystal display module are respectively and electrically connected to the MCU control module.

2. The FPGA-based microphone array non-invasive broadband acoustic wave real-time imaging detection system of claim 1, wherein the camera module is disposed at the center of the two-dimensional area array.