CN105486751A - Equipment defect comprehensive detection system - Google Patents

Abstract

The invention relates to a comprehensive detection system for equipment defects. The detection system detects equipment defects based on ultrasound, infrared and ultraviolet, and includes: a comprehensive detection device that collects images of the equipment under test based on ultrasound, infrared and ultraviolet; There are detection cases and failure cases of various types of equipment under test; the state analysis device receives the image data collected by the comprehensive detection device, compares the image data with the equipment defect database, obtains the state of the equipment under test and outputs it. Compared with the prior art, the invention has the advantages of high equipment defect detection accuracy, early detection of substation equipment defects and the like.

Description

A comprehensive detection system for equipment defects

technical field

The invention relates to the field of electrical equipment detection, in particular to a comprehensive detection system for equipment defects.

Background technique

With the rapid development of grid scale, the number of electrical equipment is increasing rapidly. Since most of the high-voltage electrical equipment is arranged outdoors, it is greatly affected by the environment. Before the failure of outdoor substation equipment, partial discharge often occurs, and the discharge source will produce acoustic, electrical and chemical effects. Experienced operators can often use ultrasonic, ultraviolet and infrared equipment to detect hidden dangers in advance and prevent accidents.

In many years of practice, the effectiveness of ultrasonic, ultraviolet and infrared testing equipment has been greatly affirmed, but limited by the level of testing technology, single-principle testing equipment has its own advantages and disadvantages.

1. The use of ultrasound to detect discharge is very effective, and can reduce the interference of audible sound, but the directivity of ultrasound is strong, and it is easy to attenuate in the air. It often requires high sensitivity of the detection equipment, and at the same time, the detector needs to be rich. experience of;

2. The commonly used infrared thermal imaging camera with the principle of uncooled focal plane has a high detection rate for heating defects, but it is often powerless for discharge faults;

3. The ultraviolet imager has high detection sensitivity for discharge, but it is easy to be blocked, and it is powerless to discharge in hidden parts or inside.

It is difficult for the existing single detection equipment mentioned above to meet the requirements of higher precision.

Contents of the invention

The object of the present invention is to provide a comprehensive equipment defect detection system which has high detection accuracy of equipment defects and can detect defects of substation equipment early in order to overcome the above-mentioned defects in the prior art.

The purpose of the present invention can be achieved through the following technical solutions:

A comprehensive detection system for equipment defects, which detects equipment defects based on ultrasound, infrared and ultraviolet, including:

Comprehensive detection device, based on ultrasonic, infrared and ultraviolet image acquisition for the equipment under test;

The equipment defect library stores the detection cases and failure cases of various tested equipment;

The state analysis device receives the image data collected by the comprehensive detection device, compares the image data with the equipment defect database, obtains the state of the tested equipment and outputs it.

The comprehensive detection device includes:

The ultrasonic visualization module is used for synchronously collecting ultrasonic array signals and visible light images and synthesizing the ultrasonic array signals and visible light images to obtain ultrasonic visible light images;

An infrared detection module, used to collect infrared images synchronously with the ultrasonic visualization module;

An ultraviolet detection module, used to collect ultraviolet images synchronously with the ultrasonic visualization module;

The control display module is used to synthesize and display the acquired ultrasonic visible light image, infrared image and ultraviolet image;

The power supply is used to supply power to the ultrasonic visual module, infrared detection module, ultraviolet detection module and control display module.

The ultrasonic visual module includes an ultrasonic sensor array, an ultrasonic amplifying circuit, a camera, an analog-to-digital converter, a first image synthesis unit, and a first display, and the ultrasonic sensor array, the ultrasonic amplifying circuit and the analog-to-digital converter are connected in sequence, so that The camera is connected to the analog-to-digital converter, the analog-to-digital converter, the first image synthesis unit and the first display are connected in sequence, and the first image synthesis unit synthesizes the ultrasonic array signal collected by the ultrasonic sensor array and the visible light image collected by the camera , and displayed on the first display.

The ultrasonic sensor array is composed of 16 ultrasonic sensors placed in different positions;

The specific placement positions of the 16 ultrasonic sensors are as follows: every four ultrasonic sensors form a set of linear arrays, forming four sets of upper, lower, left, and right linear arrays, forming a two-dimensional square array.

The ultrasonic amplifying circuit is a bipolar amplifying circuit, each stage of the bipolar amplifying circuit adopts a negative feedback amplifying circuit, and a capacitor is used to isolate the DC component between the two amplifying circuits.

The specific process of synthesizing the ultrasonic array signal and the visible light image by the first image synthesizing unit is as follows:

S101. Superimposing the ultrasonic signals collected by each ultrasonic sensor in each group of linear arrays to generate a directional signal;

S102. Use the following formulas to perform delay correlation calculations on the pointing signals of the upper and lower linear arrays and the left and right linear arrays:

C _TB (n)＝ΣS _T (t+n)·S _B (t)

C _LR (n)＝ΣS _L (t+n)·S _R (t)

Among them, C _TB (n) and C _LR (n) are the correlation coefficients of the pointing signals of the upper and lower linear arrays and the left and right linear arrays respectively, and S _T (t), S _B (t), S _L (t) and S _R (t) is the directivity signal of the up, down, left and right linear array;

S103. Respectively select the maximum value of C _TB (n) and C _LR (n) as the vertical coordinate and horizontal coordinate of the ultrasonic source position;

S104, taking the ultrasonic source position described in step S103 as the center, and the maximum value of C _TB (n) and C _LR (n) as the amplitude, generating a two-dimensional Gaussian function to form a two-dimensional matrix;

S105. Using the visible light image as the background and the two-dimensional matrix described in step S104 as the foreground, synthesize an ultrasonic visible light image and send it to the first display for display.

The infrared detection module includes an infrared thermal imager, and the ultraviolet detection module includes an ultraviolet thermal imager.

The control display module includes a connected second image synthesis unit and a second display, and the second image synthesis unit is respectively connected to an ultrasonic visual module, an infrared detection module and an ultraviolet detection module, and uses an image fusion algorithm to combine the ultrasonic visible light The image, infrared image and ultraviolet image are fused and displayed on a second display.

The specific process of the fusion by the second image synthesis unit using the image fusion algorithm is as follows:

S201. Extract the infrared target in the infrared image to obtain an infrared target area image, and fuse the infrared target area image and the ultrasonic visible light image to obtain an infrared target image;

S202. Perform image enhancement on the ultrasonic visible light image, the infrared target image, and the ultraviolet image;

S203. Perform image registration on the enhanced image;

S204. Fusion the registered images.

The state analysis device receives the image data collected by the comprehensive detection device in real-time or offline.

Compared with the prior art, the present invention has the following beneficial effects:

(1) The present invention obtains the image information of the measured object based on ultrasound, infrared, and ultraviolet through a comprehensive detection device, solves the problem of single equipment detection, integrates the advantages of ultrasound, infrared, and ultraviolet, and effectively improves the accuracy of equipment detection , can detect the defects of substation equipment early and avoid unnecessary losses.

(2) The present invention firstly obtains detection cases and common failure cases of electrical equipment by measuring multiple tested equipments with a comprehensive detection device, and obtains the working status of the actual tested electrical equipment conveniently through these cases and actual measurement data, which is convenient and reliable.

(3) The measurement of the comprehensive detection device of the present invention can transmit data to the state analysis device in real-time or off-line, which is convenient to use.

(4) The ultrasonic visualization module of the present invention uses the ultrasonic source positioning algorithm to estimate the ultrasonic intensity in various directions in space, and simultaneously displays the spatial visual scene information collected by the camera. In this way, maintenance personnel can directly observe the position of the ultrasonic source and judge the discharge point of the equipment, which is especially suitable for applications that require long-distance equipment maintenance, such as power transmission poles and high-voltage substations. The maintenance personnel can intuitively find the location of the abnormal ultrasonic source, and the inaudible ultrasonic signal source is imaged and marked as a visible image discharge point, which helps the maintenance personnel to judge the fault point intuitively and quickly. This technology can achieve directional acquisition of the target ultrasonic source, effectively suppress noise from other directions, and thus overcome problems such as refraction and interference at the work site.

(5) In the present invention, ultrasonic visible light images, infrared images and ultraviolet images are synthesized into a mixed image through an image fusion method, and the mixed image is compared with the equipment defect library to eliminate the spatial position and angle difference of a single detection equipment , realizing the selective overlapping of multiple images, thereby further improving the accuracy of equipment defect detection.

Description of drawings

Fig. 1 is the realization schematic diagram of detection system of the present invention;

Fig. 2 is a structural representation of the present invention;

Fig. 3 is a schematic diagram of the design of the ultrasonic sensor array of the present invention;

Fig. 4 is a schematic diagram of an ultrasonic signal amplification circuit of the present invention.

detailed description

The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.

As shown in Figures 1-2, this embodiment provides a comprehensive detection system for equipment defects. The detection system detects equipment defects based on ultrasound, infrared and ultraviolet light, and includes a comprehensive detection device 1, an equipment defect database 2 and a state analysis device 3 , the state analysis device 3 is respectively connected to the comprehensive detection device 1 and the equipment defect database 2, wherein the comprehensive detection device 1 collects images of the equipment under test based on ultrasound, infrared and ultraviolet; Cases and fault cases; the state analysis device 3 receives the image data collected by the comprehensive detection device 1 in real-time or offline, compares the image data with the equipment defect database 2, obtains the state of the equipment under test and outputs it. The detection system can judge whether the substation equipment in various substations is working normally, so as to detect the defects of the substation equipment early and avoid unnecessary losses.

In the equipment defect library 2, the detection cases of various types of equipment under test are obtained from the detection of various types of substation equipment by the comprehensive detection device 1; the fault cases are common fault cases of electrical equipment.

The comprehensive detection device 1 comprises an ultrasonic visual module 101, an infrared detection module 102, an ultraviolet detection module 103, a control display module 104 and a power supply 105, and the control display module 104 is respectively connected to the ultrasonic visual module 101, the infrared detection module 102 and the ultraviolet detection module 103 , the power supply 105 is respectively connected to the ultrasonic visual module 101 , the infrared detection module 102 , the ultraviolet detection module 103 and the control display module 104 . Ultrasonic visual module 101 is used for synchronously collecting ultrasonic array signals and visible light images and synthesizing ultrasonic array signals and visible light images to obtain ultrasonic visible light images; infrared detection module 102 is used for synchronously collecting infrared images with the ultrasonic visual module; The detection module 103 is used to collect ultraviolet images synchronously with the ultrasonic visual module; the control display module 104 is used to synthesize and display the acquired ultrasonic visible light images, infrared images and ultraviolet images; the power supply 105 is used to monitor the ultrasonic The visual module 101 , the infrared detection module 102 , the ultraviolet detection module 103 and the control display module 104 supply power.

The comprehensive detection device described in this embodiment can be held by on-site staff to detect various types of substation equipment. The detection results include ultrasonic visual detection results, infrared temperature measurement detection results, ultraviolet discharge detection results and comprehensive detection results.

In one embodiment, the ultrasonic visualization module 101 includes an array of ultrasonic sensors, an ultrasonic amplification circuit, a camera, an analog-to-digital converter, a first image synthesis unit, and a first display, an array of ultrasonic sensors, an ultrasonic amplification circuit, and an analog-to-digital conversion connected in sequence to amplify the ultrasonic array signal collected by the ultrasonic sensor array and convert it into a digital ultrasonic array signal; the camera is connected to an analog-to-digital converter to convert the collected visible light image into a digital visible light image The analog-to-digital converter, the first image synthesis unit and the first display are connected in sequence, and the first image synthesis unit synthesizes the ultrasonic array signal collected by the ultrasonic sensor array and the visible light image collected by the camera, and displays it on the first display.

The basic principle of the ultrasonic visualization module described in this embodiment is to use the ultrasonic sensor array to collect ultrasonic signals, use the ultrasonic source positioning algorithm to estimate the ultrasonic intensity in various directions in space, and simultaneously display the spatial visual scene information collected by the camera. In this way, maintenance personnel can directly observe the position of the ultrasonic source and judge the discharge point of the equipment. It is especially suitable for applications that require long-distance equipment maintenance, such as power transmission high poles, high-voltage substations, etc. The maintenance personnel can intuitively find the location of the abnormal ultrasonic source, and the inaudible ultrasonic signal source is imaged and marked as a visible image discharge point, which helps the maintenance personnel to judge the fault point intuitively and quickly. This technology can achieve directional acquisition of the target ultrasonic source, effectively suppress noise from other directions, and thus overcome problems such as refraction and interference at the work site.

In one embodiment, the ultrasonic amplifying circuit is a bipolar amplifying circuit, each stage of the bipolar amplifying circuit adopts a negative feedback amplifying circuit, and a capacitor is used to isolate the DC component between the two stages of amplifying circuits. The form of the ultrasonic amplification circuit in this embodiment is shown in Figure 4. The ultrasonic signal is seriously attenuated through long-distance transmission, and the signal collected by the sensor is very weak and needs to be amplified before further processing. In the research, a double-stage amplifier circuit is designed, each stage uses a negative feedback amplifier circuit, and the amplifier is amplified 100 times. Capacitors are used to isolate the DC component between the two stages, and the amplification gain after cascading can reach 10,000 times.

In one embodiment, the ultrasonic sensor array is composed of 16 ultrasonic sensors placed in different positions; the specific placement of the 16 ultrasonic sensors is: every four ultrasonic sensors form a set of linear arrays, forming an upper , down, left, and right four groups of linear arrays form a two-dimensional square array, as shown in Figure 3. The long side of the square array is 30cm, and the short side is 20cm. The sound source in two-dimensional space can be localized by this square array method.

In this embodiment, the time-delay correlation method is used to estimate the position of the ultrasound source. Each four-element linear array is used as a group of directional ultrasonic acquisition probes. The vertical position of the ultrasonic source is estimated by using the upper and lower sets of probes and the cross-correlation method, and the horizontal position of the ultrasonic source is estimated by using the left and right sets of probes and the same method. The specific principle is: superimpose the signals collected by each sensor in the four-element linear array to form a beam pointing straight ahead, while suppressing noise interference in other directions.

In this embodiment, digital ultrasound signals and visible light images are output to the first image synthesis unit through the USB interface to complete signal processing and display functions.

In one embodiment, the specific process for the first image synthesis unit to synthesize the ultrasound array signal and the visible light image is as follows:

S101. Superimposing the ultrasonic signals collected by each ultrasonic sensor in each group of linear arrays to generate a directional signal;

S102. Use the following formulas to perform delay correlation calculations on the pointing signals of the upper and lower linear arrays and the left and right linear arrays:

C _TB (n)＝ΣS _T (t+n)·S _B (t)

C _LR (n)＝ΣS _L (t+n)·S _R (t)

Among them, C _TB (n) and C _LR (n) are the correlation coefficients of the pointing signals of the upper and lower linear arrays and the left and right linear arrays respectively, and S _T (t), S _B (t), S _L (t) and S _R (t) is the directivity signal of the up, down, left and right linear array;

S103. Respectively select the maximum value of C _TB (n) and C _LR (n) as the vertical coordinate and horizontal coordinate of the ultrasonic source position;

S104, taking the position coordinates of the ultrasonic source described in step S103 as the center, and the maximum value of C _TB (n) and C _LR (n) as the amplitude, generating a two-dimensional Gaussian function to form a two-dimensional matrix;

S105. Using the visible light image as the background and the two-dimensional matrix described in step S104 as the foreground, synthesize an ultrasonic visible light image and send it to the first display for display.

In one embodiment, the infrared detection module includes an infrared camera. The thermal imaging camera can simultaneously measure the temperature of each point on the surface of the object and display it in the form of an image; it can display the temperature values of two points at the same time, so it can accurately distinguish a small temperature difference, even up to 0.01. The image signal output by the infrared thermal imaging camera contains a large amount of information of the target, which can be displayed in various ways. For example, by performing false color processing on the image signal, thermal images of different temperatures can be displayed in different colors; if the inverse image signal is processed by analog-to-digital conversion, the temperature value of each point of the object can be displayed digitally.

In one embodiment, the ultraviolet detection module includes an ultraviolet thermal imager. Compared with infrared thermal imaging cameras, ultraviolet imager detection and infrared imaging are complementary rather than conflicting technologies. A complete inspection of power facilities should include ultraviolet imaging, infrared imaging and visible light inspection. A corona is a luminous surface partial discharge that ionizes due to a localized high-intensity electric field in the air. This process induces a tiny amount of heat that normally cannot be detected by infrared detection. Infrared detection typically creates hot spots at high resistance. What can be seen with a UV imager is often invisible to an infrared imager, and what can be seen with an infrared imager is often not visible to a UV imager.

In one embodiment, the control display module 104 includes a connected second image synthesis unit and a second display, and the second image synthesis unit is respectively connected to the ultrasonic visual module 101, the infrared detection module 102 and the ultraviolet detection module 103 , using an image fusion algorithm to fuse the ultrasound visible light image, the infrared image and the ultraviolet image and display it on the second display.

The second image synthesis unit described in this embodiment fuses the ultrasonic visible light image, the infrared image signal and the ultraviolet image signal based on the multi-source image synthesis technology and displays them on the second display, specifically:

Due to the separate analysis of infrared images, due to the low imaging resolution and blurred scene details, it is difficult to accurately locate the separated moving targets. Therefore, the infrared moving target is fused into the visible light image, and the spatial structure information of the visible light image is fully utilized to determine the position of the infrared target in the scene, so as to facilitate the observation and monitoring of the infrared target.

Before the registration and fusion of visible and infrared images, the images or image sequences must be preprocessed. Because high-quality images play a very important role in the application of subsequent stages, for example, it has a very important impact on image segmentation, target recognition accuracy and image tracking, etc., and it can even be said that its quality varies greatly. The degree will determine the result of the later operation. Many imaging systems, such as thermal imaging cameras and visible light cameras, etc., are limited by their inherent sensor array density in the process of quickly collecting wide-field images, so the resolution of the images cannot be very high, and the images in practical applications Factors such as transmission speed and image storage capacity also limit the improvement of image resolution; at the same time, the undersampling (discretization of continuous images) effect in the imaging process will cause image spectrum aliasing and degrade the acquired image. Improving image resolution by increasing sensor array density can be expensive or difficult to achieve. Image preprocessing techniques can remove additive noise and blur caused by the limited sensor array density and the point spread function of the optical imaging process. For infrared images, due to the random interference of the external environment and the imperfection of the thermal imaging system, various noises are brought to the infrared images, which seriously affect the quality of the infrared images. Moreover, poor layering is the main feature of infrared images, so it is very important to perform noise filtering and gray level enhancement on infrared images to improve the quality of fusion images and better identify targets. The key to preprocessing research on visible light and infrared images is to find filter enhancement algorithms suitable for visible light and infrared images. In addition, since multi-source images are obtained by different imaging sensors or by different imaging methods or different imaging times of the same imaging sensor, there may be relative translation, rotation, and scaling between images, which cannot be directly fused. Instead, image registration must be performed first to establish the pixel-to-pixel correspondence between images.

Ultraviolet, infrared and visible light work in different wave bands. The complementarity of this image information makes their fusion results can be effectively applied to automatic target tracking and camouflage recognition. The registration of these three images has the characteristics of general multi-sensor image registration, but there are specificities to consider. First, an important difference between UV, IR, and visible images is contrast. Visible light image contrast is relatively high. Infrared image contrast is relatively low and can vary over a wide range. Second, features that appear in infrared images do not necessarily appear in visible light images, and similarly, features that appear in ultraviolet images do not necessarily appear in visible light images. Therefore, higher requirements are put forward for the feature points of the registration of ultraviolet, infrared and visible light images. Firstly, there must be a considerable number of consistent feature points, and secondly, there should be an effective consistency checking method to eliminate wrong matching point pairs. Feature points suitable for visible light and infrared image registration should have the following characteristics:

① The same position in visible light, ultraviolet and infrared images;

② Evenly distributed in the image;

③Located in high-contrast areas;

④ It is unique in its surrounding area.

Therefore, the registration algorithm is divided into two steps:

(1) is the selection of feature points;

(2) The affine transformation model is used to realize the registration between the two.

When synthesizing the three source sequence images, the preprocessed sequence images are firstly extracted from the moving target contour to obtain the target information in the scene, which is used to guide the subsequent fusion processing; then each sequence image is frame by frame Carry out multi-scale decomposition; finally, according to the target information obtained by moving target detection, the fusion algorithm based on multi-scale decomposition is used to perform region-based image fusion frame by frame.

Therefore, in this embodiment, the specific process of fusion by the second image synthesis unit using the image fusion algorithm is as follows:

S201. Extract the infrared target in the infrared image to obtain an infrared target area image, and fuse the infrared target area image and the ultrasonic visible light image to obtain an infrared target image;

S202. Perform image enhancement on the ultrasonic visible light image, the infrared target image, and the ultraviolet image;

S203. Perform image registration on the enhanced image;

S204. Fusion the registered images.

In this embodiment, the step S201 of extracting the infrared target in the infrared image specifically includes: calculating the background of the infrared image by using the correlation between multiple consecutive frames of infrared images; The background of the image is subtracted to realize the extraction of infrared targets. In the infrared image described in this embodiment, the gray value of the imaging thermal signal is usually larger than the gray value of the surrounding background, which means that the target is brighter. Based on this characteristic, the pixel value corresponding to each pixel position of a group of images in the infrared video sequence is extracted, and the threshold segmentation method is used to operate the histogram. Those above the threshold T are regarded as infrared targets, and those below the threshold T as the background. The infrared target is extracted using the background subtraction method. The current frame infrared image is subtracted from the established background image. If the difference is greater than or equal to the set threshold T ₁ , then the pixel is considered to be the target point. Establish a binary mask map I _mask , the target area is represented by a value of 1, otherwise it is represented by a value of 0, so as to realize the extraction of infrared targets.

In this embodiment, the image enhancement method in step S202 includes median filtering, mean filtering or other spatial domain enhancement methods. In this embodiment, different image enhancement methods are used for different images according to different situations, and the advantages and disadvantages of one image enhancement method are not absolute. Due to the different purposes and requirements of specific applications, the required enhancement techniques are also very different. Therefore, fundamentally speaking, there is no general standard for image enhancement, and the observer is the final judge of the quality of a certain enhancement method. The effect of enhanced algorithm processing is not only related to the algorithm itself, but also directly related to the data characteristics of the image. In practical applications, the appropriate method should be selected according to the image data characteristics and processing requirements.

In this embodiment, step S203 specifically includes the following steps:

S2031. Extracting contours in the enhanced visible light image, infrared target image, and ultraviolet image;

S2032. Matching the contour extracted in step S2031 by using invariant moment and chain code representation to obtain a pair of matching contours;

S2033. Convert the open contour pairs in the matched contour pairs into closed contour pairs;

S2034. Remove false matching contour pairs generated during the contour matching process;

S2035. Estimating registration parameters according to the centroid and long axis of the matched closed contours and implementing image registration based on radial transformation.

The ultraviolet, infrared target and ultrasonic visible light images described in this embodiment are multi-source images obtained from different types of sensors. Although there are great differences between their gray distribution characteristics, some obvious outlines of objects can be seen in the images. are well preserved, these contour features can be used for image registration. Taking the unregistered ultraviolet, infrared and visible light images as an example, by extracting the salient contours in the input images, it can be found that there are many similar contours in the three images, and these similar contours are the basis for image registration. Before registration based on these contours, a certain algorithm must be used to match these contours. These matched contour pairs include matching closed contour pairs and matching open contour pairs. For the matched closed contours, the other Centroid and major axis.

DaiX.L. and KhorramS. Calculate the registration parameters according to the centroid of the matched closed contours, but it is difficult to extract enough closed contours from the input image in the actual registration image, and the number of matched closed contour pairs will affect the registration The accuracy of quasi-parameter estimation, such a registration algorithm will not be applicable if no matching closed contour pair can be extracted from the input image. In order to overcome the shortcomings of the above algorithms, the present invention proposes to perform image registration according to the centroid and long axis direction of the closed contour, which involves how to use the matched open contour to register the information provided, and how to define its centroid and long axis. In this paper, the three endpoints of the matching open contour are connected by straight line segments to form a closed contour, and then the centroid and long axis direction of the closed contour are calculated. If the coordinate transformation relationship between the two images is a rigid body transformation, then the rotation between the images can be obtained according to the angle between the long axes of the matching closed contours, and the translation between the images can be obtained according to the matching closed contours The positional relationship between the centroids of the contours is obtained.

In this embodiment, the step S204 includes the following steps:

S2041. Perform multi-scale decomposition on the ultrasonic visible light image, infrared target image and ultraviolet image after image registration in step S2035;

S2042, performing image fusion on the ultrasonic visible light image, infrared target image and ultraviolet image of the same scale in step S2041 based on the closed contour described in step S2035 using a region-based fusion algorithm to obtain a multi-scale fusion image;

S2043. Convert the multi-scale fused image in step S2042 to the same scale, and perform superposition to obtain a final fused image.

In one embodiment, the power supply 105 is powered by four 5V batteries, and each battery has a capacity of 2500mAh. The comprehensive detection device 1 of this embodiment needs to be powered by batteries. Considering that the power supply voltage of the ultrasonic signal circuit is 3-36V, the power supply voltage of the infrared detection module is 12V, the voltage of the ultraviolet detection module is 12V, and the total working current of the detector is about 2000mA. Therefore, it is powered by four 5V rechargeable batteries, each with a capacity of 2500mAh. Followed by a 15WDC-DC module to maintain a stable 12V output voltage to supply power for the ultrasonic acquisition and amplification circuit module. The power supply determines the power supply method according to the final selected platform type.

Claims (10)

1. an equipment deficiency comprehensive detection system, is characterized in that, this detection system carries out equipment deficiency detection based on ultrasonic, infrared and ultraviolet, comprising:

Comprehensive detection device, carries out image acquisition based on ultrasonic, infrared and ultraviolet to equipment under test;

Equipment deficiency storehouse, stores detection case and the fault case of all kinds of equipment under test;

State analysis device, receives the view data that described comprehensive detection device gathers, this view data and equipment deficiency storehouse is compared, and obtains the state of equipment under test and exports.

2. equipment deficiency comprehensive detection system according to claim 1, is characterized in that, described comprehensive detection device comprises:

Ultrasound wave visual module, synthesizes supersonic array signal and visible images for synchronous acquisition supersonic array signal and visible images, obtains ultrasonic visible images;

Infrared detection module, for gathering infrared image with the visual module synchronization of described ultrasound wave;

UV detect module, for gathering ultraviolet image with the visual module synchronization of described ultrasound wave;

Control display module, process for carrying out synthesis to obtained ultrasonic visible images, infrared image and ultraviolet image and show;

Power supply, for powering to the visual module of described ultrasound wave, infrared detection module, UV detect module and control display module.

3. equipment deficiency comprehensive detection system according to claim 2, it is characterized in that, the visual module of described ultrasound wave comprises ultrasonic sensor array, ultrasonic amplifying circuit, camera, analog to digital converter, first image composing unit and the first display, described ultrasonic sensor array, ultrasonic amplifying circuit is connected successively with analog to digital converter, described camera is connected with analog to digital converter, described analog to digital converter, first image composing unit is connected successively with the first display, the supersonic array signal of ultrasonic sensor array collection and the visible images of camera collection synthesize by the first image composing unit, and be shown in the first display.

4. equipment deficiency comprehensive detection system according to claim 3, is characterized in that, described ultrasonic sensor array is made up of the sonac that 16 are placed in diverse location;

16 described ultrasonic sensing implement body putting positions are: every four sonacs form one group of line style battle array, form four groups, upper and lower, left and right line style battle array, form two-dimentional square battle array.

5. equipment deficiency comprehensive detection system according to claim 3, it is characterized in that, described ultrasonic amplifying circuit is bipolar amplifying circuit, and every grade of circuit of this bipolar amplifying circuit all adopts negative feedback amplifier circuit, and with electric capacity isolated DC composition between two-stage amplifying circuit.

6. equipment deficiency comprehensive detection system according to claim 4, is characterized in that, the detailed process that supersonic array signal and visible images carry out synthesizing is by described first image composing unit:

S101, the ultrasonic signal often organizing each sonac collection in line style battle array carried out superposition and generate directional signal;

S102, following formula is utilized to carry out time delay correlation computations to the directional signal of upper and lower line style battle array and left and right line style battle array respectively:

C _TB(n)＝ΣS _T(t+n)·S _B(t)

C _LR(n)＝ΣS _L(t+n)·S _R(t)

Wherein, C _tB(n) and C _lRn () is respectively the related coefficient of upper and lower line style battle array and left and right line style battle array directional signal, S _t(t), S _b(t), S _l(t) and S _rt () is the directional signal of upper and lower, left and right line style battle array;

S103, choose C respectively _tB(n) and C _lRn the maximal value of () is as the vertical coordinate of supersonic source position and horizontal coordinate;

S104, centered by the supersonic source position described in step S103, C _tB(n) and C _lRn the maximal value of () is amplitude, generate two-dimensional Gaussian function, forms two-dimensional matrix;

S105, using visible images as a setting, the two-dimensional matrix described in step S104 as prospect, synthesize ultrasonic visible images and send to the first display to show.

7. equipment deficiency comprehensive detection system according to claim 2, is characterized in that, described infrared detection module comprises thermal infrared imager, and described UV detect module comprises ultraviolet thermal imaging system.

8. equipment deficiency comprehensive detection system according to claim 2, it is characterized in that, described control display module comprises the second image composing unit and second display that are connected, described second image composing unit connects the visual module of ultrasound wave, infrared detection module and UV detect module respectively, utilizes Image Fusion described ultrasonic visible images, infrared image and ultraviolet image carried out fusion and show on the second display.

9. equipment deficiency comprehensive detection system according to claim 8, is characterized in that, the detailed process that described second image composing unit utilizes Image Fusion to carry out merging is:

S201, the infrared target extracted in described infrared image obtain infrared target area image, and described infrared target area image, ultrasonic visible images are carried out fusion and obtain infrared target image;

S202, image enhaucament is carried out to described ultrasonic visible images, infrared target image and ultraviolet image;

S203, to strengthen after image carry out image registration;

S204, the image after registration to be merged.

10. equipment deficiency comprehensive detection system according to claim 1, is characterized in that, described state analysis device receives the view data of comprehensive detection device collection by real-time mode or offline mode.