CN104698426B - Outdoor electric energy meter fault automatic inspection terminal - Google Patents

Abstract

The invention relates to an automatic fault inspection terminal for an outdoor electric energy meter, which comprises an infrared transceiver, a CCD high-definition camera, an image processor and an ARM11 processor, wherein the infrared transceiver is used for sending a test signal to a detected electric energy meter so that the detected electric energy meter can control a display screen of the detected electric energy meter to display a test character string included in the test signal, the CCD high-definition camera is used for shooting the display screen of the detected electric energy meter to output a test image, the image processor is connected with the CCD high-definition camera and used for carrying out image processing on the test image so as to identify the character string in the test image and output the character string as an identification character string, and the ARM11 processor is connected with the image processor and used for comparing the identification character string with the test character string so as to determine whether a fault alarm signal is sent. The detection terminal further comprises haze removal processing equipment to realize the image sharpening processing. By the aid of the method, the fault of the outdoor electric energy meter can be detected automatically and accurately in various weathers.

Description

Outdoor electric energy meter fault automatic inspection terminal

technical field

The invention relates to the field of electric energy meters, in particular to an outdoor electric energy meter fault automatic inspection terminal.

Background technique

The energy meter is the metering equipment used by the power supply management department to detect the electric energy used by each power-consuming unit or individual, and is the basis for charging each power-consuming unit or individual. Therefore, whether there is a fault in the power meter determines whether the power supply department can fairly Electricity units or individuals charge.

The information of the energy meter is mainly conveyed through its display screen. In the production process of electric energy meters, it is inevitable that there will be defects in the display screen or processing equipment or transmission equipment, which will cause the display of the display screen to fail to meet expectations and have defects, which seriously affect the transmission of metering information. Therefore, it is necessary to detect the electric energy meters suspected of being faulty, especially for some outdoor electric energy meters, which are not conducive to disassembly and inspection due to their proximity to high-voltage lines, so the requirements for inspection are relatively high.

In the prior art, the detection of display defects of suspected faulty outdoor electric energy meters mainly adopts the manual detection method, and there are many inspection procedures, and the steps that inspectors need to input are complicated, the accuracy and efficiency of detection are not high, and the electric energy meter needs to be removed for inspection. Off-line detection, even if there are some electronic online inspection terminals, for outdoor energy meters in haze weather, because some of them are near high-voltage lines and cannot be close to detection, the detection accuracy is easily affected by the degree of haze.

Therefore, a new outdoor electric energy meter fault inspection terminal based on electronic detection is needed to replace the complex and inefficient manual detection method, transform the existing electronic inspection terminal with simple structure, and realize the display defects of various types of outdoor electric energy meters online detection.

Contents of the invention

In order to solve the above problems, the present invention provides an automatic fault inspection terminal for outdoor electric energy meters, which uses image processing technology to first detect the outline of the electric energy meter to determine the type of electric energy meter, and determine each of the electric energy meter display defect detection according to the type of electric energy meter Parameters, using infrared transmission to realize information interaction between the electric energy meter and the inspection terminal, improve the versatility and intelligence of electric energy meter defect detection, and more importantly, determine the influence factors of haze on the image according to the atmospheric attenuation model, and The test image of the electric energy meter collected in foggy weather is de-hazed to obtain a clear test image of the electric energy meter, so as to ensure the accuracy of the fault inspection of the outdoor electric energy meter.

According to one aspect of the present invention, an outdoor electric energy meter fault automatic inspection terminal is provided. The inspection terminal includes an infrared transceiver, a CCD high-definition camera, an image processor, and an ARM11 processor. The meter sends a test signal so that the detected watt-hour meter controls its display screen to display the test character string included in the test signal, and the CCD high-definition camera is used to shoot the display screen of the detected watt-hour meter to output a test image, the image processor is connected with the CCD high-definition camera, and is used to carry out image processing to the test image, so as to identify the character string in the test image and output as the recognition character string, the ARM11 processor and the The image processor is connected to compare the recognition character string with the test character string to determine whether to issue a fault alarm signal.

More specifically, in the automatic fault inspection terminal of the outdoor electric energy meter, it also includes: a power supply, including a solar power supply device, a battery, a switch and a voltage converter, and the switch is connected to the solar power supply device and the battery Connect respectively, decide whether to switch to the solar power supply device to be powered by the solar power supply device according to the remaining power of the battery, and the voltage converter is connected to the switch to convert the 5V input through the switch to 3.3V voltage; a reset unit, used to restore each electronic component in the inspection terminal to a default state, and the default state of each electronic component is the state set by the inspection terminal manufacturer when the inspection terminal leaves the factory; static The memory is used to pre-store the reference image templates of various types of electric energy meters. The reference image templates of each type of electric energy meters are the patterns obtained by pre-photographing each type of reference electric energy meters. The static memory also pre-stores Electric energy meter information table, the electric energy meter information table takes the type of electric energy meter as an index, and saves the infrared communication address, test character string, character upper limit gray threshold and character lower gray threshold of each electric energy meter, and the character upper limit The gray threshold and the lower limit gray threshold of the characters are used to separate the characters on the display screen of the corresponding type electric energy meter in the image from the image background; the alarm device is connected with the ARM11 processor, including a loudspeaker and an alarm LED light, so The loudspeaker is used to play the language warning file corresponding to the fault alarm signal, and the alarm LED light is used to display red when receiving the fault alarm signal, and display green when receiving no fault prompt signal; the CCD The high-definition camera is used to shoot the display screen of the tested electric energy meter to output a test image, and is also used to shoot the appearance of the detected electric energy meter to output a profile image, the test image and the profile image The resolutions are all 1920×1080; the haze removal processing equipment is located between the CCD high-definition camera and the image processor, and is used to receive the test image and the profile image, and perform a test on the test image and the performing defogging processing on the contour image respectively to obtain a defogging test image and a defogging contour image, replacing the test image and the contour image, and inputting the defogging test image and the defogging contour image into the image processor; The haze removal processing equipment includes: haze concentration detection sub-equipment, located in the air, for real-time detection of the haze concentration at the location of the detected electric energy meter, and determining the haze removal intensity according to the haze concentration, the haze removal The intensity value is between 0 and 1; the sub-equipment for obtaining the overall atmospheric light value is connected with the CCD high-definition camera to obtain the test image, calculates the gray value of each pixel in the test image, and converts the gray value The grayscale value of the largest pixel is used as the overall atmospheric light value; the atmospheric scattered light value acquisition sub-equipment is connected with the CCD high-definition camera and the haze density detection sub-equipment respectively, and extracts each pixel of the test image The minimum value among the pixel values of the R, G, and B three color channels is used as the target pixel value, Use an edge-preserving Gaussian smoothing filter EPGF (edge-preserving gaussian filter) to filter the target pixel value to obtain the filtered target pixel value, subtract the filtered target pixel value from the target pixel value to obtain the target pixel difference, use EPGF filters the target pixel difference to obtain the filtered target pixel difference, subtracts the filtered target pixel value from the filtered target pixel difference to obtain the haze removal reference value, and multiplies the haze removal intensity by the haze removal reference value to obtain Obtain the haze removal threshold, take the minimum value of the haze removal threshold and the target pixel value as a comparison reference value, and take the maximum value of the comparison reference value and 0 as the atmospheric scattered light value of each pixel; the medium transmission rate acquisition sub-device , respectively connected to the sub-equipment for acquiring the overall atmospheric light value and the sub-equipment for acquiring the atmospheric scattered light value, dividing the atmospheric scattered light value of each pixel by the overall atmospheric light value to obtain a division value, and subtracting the described Divide the value to obtain the medium transmission rate of each pixel; the clear image acquisition sub-equipment is connected with the CCD high-definition camera, the overall atmospheric light value acquisition sub-equipment and the medium transmission rate acquisition sub-equipment respectively, and subtract 1 removing the medium transmission rate of each pixel to obtain a first difference, multiplying the first difference by the overall atmospheric light value to obtain a product value, and subtracting the product from the pixel value of each pixel in the test image value to obtain a second difference value, divide the second difference value by the medium transmission rate of each pixel to obtain a sharpened pixel value of each pixel, the pixel value of each pixel in the test image includes the test The R, G, and B three-color channel pixel values of each pixel in the image. Correspondingly, the obtained sharpened pixel value of each pixel includes the R, G, and B three-color channel cleared pixel values of each pixel. All pixels The defogging test image is composed of the clear pixel values; the defogging processing method performed by the dehazing processing device on the contour image is the same as the defogging processing method performed on the test image; the image processor and the The connection of the haze removal processing equipment includes an electric energy meter type identification unit, a contrast enhancement unit, a median filter unit, a grayscale processing unit, a character segmentation unit and a character identification unit, and the electric energy meter type identification unit is connected with the defogging The haze processing device is connected to the static memory respectively, and the defogged contour image is matched with the reference image templates of the various types of electric energy meters one by one, and the electric energy meter type corresponding to the successfully matched reference image template is used as the predetermined electric energy meter The type is output to the static memory for preservation, the contrast enhancement unit is connected with the CCD high-definition camera to perform contrast enhancement processing on the defogging test image to obtain an enhanced image, and the median filter unit is connected with the The contrast enhancement unit is connected to perform median filtering processing on the enhanced image to obtain a filtered image, and the grayscale processing unit is connected to the median filter unit to perform grayscale processing on the filtered image to obtain grayscale image, the character segmentation unit and the grayscale processing unit and the static memory The storage devices are respectively connected to identify and form a plurality of character sub-images in the grayscale image with grayscale values between the determined character upper limit gray threshold and the determined character lower limit gray threshold, and the character recognition unit Connected with the character segmentation unit, recognize the character corresponding to each character sub-image based on a predetermined OCR recognition algorithm, and process the recognized multiple characters according to the position of each character sub-image in the grayscale image combination to obtain the identification character string; the ARM11 processor is connected respectively with each unit of the image processor, the static memory, the CCD high-definition camera and the infrared transceiver, and at first controls the CCD high-definition The camera captures the outline image, controls the dehaze processing device to perform dehaze processing on the outline image, controls the electric energy meter type identification unit to identify the predetermined electric energy meter type, and then stores Searching the electric energy meter information table based on the predetermined electric energy meter type in order to obtain the infrared communication address, test character string, character upper limit grayscale threshold and character lower limit grayscale threshold corresponding to the predetermined electric energy meter type as The fixed infrared communication address, the determined test character string, the determined character upper limit gray threshold and the determined character lower limit gray threshold are stored in the static memory, and the infrared transceiver is controlled to send the detected electric energy to the determined infrared communication address. The meter sends a test signal including the determined test character string, so that the detected electric energy meter controls its display screen to display the determined test character string included in the test signal, and the ARM11 processor controls after a preset time The CCD high-definition camera shoots a test image, controls the dehaze processing device to perform dehaze processing on the test image, and starts the contrast enhancement unit, the median filter unit, the grayscale processing unit, The character segmentation unit and the character recognition unit obtain the recognition character string, and match the recognition character string with the predetermined test character string stored in the static memory, and if the matching is successful, a no-fault prompt signal is sent , if the matching fails, a fault alarm signal is sent; wherein, when the detected electric energy meter receives the test signal including the predetermined test character string, it uses its built-in memory to save its current reading in real time, so that after the inspection Its current reading is restored on its display.

More specifically, in the outdoor electric energy meter fault automatic inspection terminal, the electric energy meter type identification unit, the contrast enhancement unit, the median filter unit, the grayscale processing unit, and the character segmentation unit and the character recognition unit are realized by using different FPGA chips respectively.

More specifically, in the automatic fault inspection terminal of the outdoor electric energy meter, the inspection terminal further includes: a barcode analyzer to detect the barcode attached to the detected electric energy meter, and obtain the corresponding user to which the electric energy meter to be detected belongs. Name and User Address.

More specifically, in the outdoor watt-hour meter fault automatic inspection terminal, the inspection terminal also includes: a wireless communication interface, connected with the ARM11 processor and the barcode analyzer, so that when the fault alarm signal is received At this time, the user name and the user address are wirelessly sent to the remote power supply management platform.

More specifically, in the automatic fault inspection terminal of the outdoor electric energy meter, the inspection terminal further includes: a camera auxiliary light source, including a brightness sensor and an illumination light source, the brightness sensor is used to detect the ambient brightness, and the illumination light source is connected to the The brightness sensor is connected, and is used to adjust the illumination light intensity provided by it for assisting the CCD high-definition camera to shoot based on the ambient brightness.

Description of drawings

Embodiments of the present invention will be described below in conjunction with the accompanying drawings, wherein:

Fig. 1 is a structural block diagram of an embodiment of the outdoor electric energy meter fault automatic inspection terminal of the present invention.

Fig. 2 is a structural block diagram of another embodiment of the outdoor electric energy meter fault automatic inspection terminal of the present invention.

Fig. 3 is a structural block diagram of a haze removal processing device of an outdoor electric energy meter fault automatic inspection terminal according to an embodiment of the present invention.

detailed description

The implementation scheme of the outdoor electric energy meter fault automatic inspection terminal of the present invention will be described in detail below with reference to the accompanying drawings.

Energy meters are widely used and are the most basic metering terminals for power supply management departments to manage users' electricity consumption. Every electricity user needs to install an energy meter to measure their electricity consumption in real time. Therefore, the demand for energy meters is particularly large. The market for energy meters is also very active.

Common watt-hour meters currently on the market can be classified in the following ways: (1) by use: industrial and civil meters, electronic standard meters, maximum demand meters, multi-rate meters; (2) by structure and working principle: induction Type (mechanical type), static type (electronic type), electromechanical integrated type (hybrid type); (3) According to the nature of the power supply: AC meter, DC meter; (4) According to the accuracy level: commonly used ordinary meters: 0.2S, 0.5S, 0.2, 0.5, 1.0, 2.0, etc.; (5) According to the installation and wiring method: direct access type, indirect access type; (6) According to electrical equipment: single-phase, three-phase three-wire, three-phase four-wire power surface.

When the user has doubts about the readings on the display screen of the electric energy meter and reports for repair, or the power supply management department arranges staff to perform daily maintenance on the electric energy meter it manages, it is necessary to use the electric energy meter defect inspection terminal to check the electric energy meter. The number of meters is huge, so the detection efficiency, accuracy and cost performance of the electric energy meter defect inspection terminal are all demanding. Especially the detection of some outdoor electric energy meters close to high-voltage lines is limited by the installation environment, and its requirements for fault inspection are higher. The existing manual detection method or simple electronic detection method can no longer meet the current needs of the power supply management department.

The present invention builds an automatic fault inspection terminal for outdoor electric energy meters. First, the type of electric energy meter is judged based on image recognition technology, and different display defect identification technologies are adopted based on different types of electric energy meters. At the same time, infrared communication technology and various targeted The introduction of the advanced character recognition technology can accurately and reliably complete the detection of the display defects of the electric energy meter. Finally, the addition of the haze removal processing equipment overcomes the adverse effects of bad weather on the test image of the outdoor electric energy meter.

Fig. 1 is the structural block diagram of an embodiment of the outdoor watt-hour meter fault automatic inspection terminal of the present invention, and described inspection terminal comprises infrared transceiver 1, CCD high-definition camera 2, image processor 3 and ARM11 processor 4, and described infrared transceiver The device 1 is used to send a test signal to the detected electric energy meter, so that the detected electric energy meter controls its display screen to display the test character strings included in the test signal, and the CCD high-definition camera 2 is used to monitor the detected electric energy. The display screen of watch is photographed to output test image, and described image processor 3 is connected with described CCD high-definition camera 2, is used for image processing to described test image, to identify the character string in described test image and as identification Character string output, the ARM11 processor 4 is connected with the image processor 3, and is used to compare the identification character string with the test character string to determine whether to send a fault alarm signal. Described ARM11 processor 4 is also respectively connected with infrared transceiver 1, CCD high-definition camera 2 to realize their control.

As seen from Fig. 2, compared with Fig. 1, compared with Fig. 1, the haze removal processing device 5 is added, and the haze removal processing device 5 is positioned between the CCD high-definition camera 2 and the image processor 3 for receiving The test image and the contour image, performing dehazing processing on the test image and the contour image respectively to obtain a defogging test image and a defogging contour image, replacing the test image and the contour image, the The defogging test image and the defogging profile image are input into the image processor 3.

Next, with reference to FIG. 2 , the specific structure of another embodiment of the outdoor electric energy meter fault automatic inspection terminal of the present invention will be further described.

The inspection terminal also includes: a power supply, including a solar power supply device, a battery, a switch and a voltage converter, the switch is respectively connected to the solar power supply device and the battery, and determines whether to switch to the battery according to the remaining power of the battery. The solar power supply device is powered by the solar power supply device, and the voltage converter is connected to the switch to convert the 5V voltage input through the switch to 3.3V voltage.

The inspection terminal also includes: a reset unit, which is used to restore each electronic component in the inspection terminal to a default state. The default state of each electronic component is set by the inspection terminal manufacturer when the inspection terminal leaves the factory. fixed state.

The inspection terminal also includes: a static memory for pre-storing reference image templates of various types of electric energy meters, the reference image templates of each type of electric energy meters are patterns obtained by pre-shooting each type of reference electric energy meters, The static memory also stores the electric energy meter information table in advance, and the electric energy meter information table takes the type of electric energy meter as an index, and stores the infrared communication address, test character string, character upper limit gray scale threshold and character lower limit of each electric energy meter The gray threshold, the character upper limit gray threshold and the character lower gray threshold are used to separate the characters on the display screen of the electric energy meter of the corresponding type in the image from the image background.

The inspection terminal also includes: an alarm device, connected to the ARM11 processor 4, including a loudspeaker and an alarm LED light, the loudspeaker is used to play a language warning file corresponding to the fault alarm signal, and the alarm LED light is used to It will display red when receiving the fault alarm signal, and display green when receiving no fault prompt signal.

The CCD high-definition camera 2 is used to photograph the display screen of the detected electric energy meter to output a test image, and is also used to photograph the appearance of the detected electric energy meter to output a profile image, the test image and the detected electric energy meter The resolution of the above contour images is 1920×1080.

The inspection terminal also includes: a haze removal processing device 5, located between the CCD high-definition camera 2 and the image processor 3, for receiving the test image and the profile image, and performing the test image and the profile image The profile image is subjected to defogging processing respectively to obtain a defogging test image and a defogging profile image, replacing the test image and the profile image, and inputting the defogging test image and the defogging profile image into the image processor 3.

As shown in FIG. 3 , the components of the haze removal treatment device 5 will be described.

The haze removal processing device 5 includes: haze concentration detection sub-equipment 51, located in the air, for real-time detection of the haze concentration at the location of the detected electric energy meter, and determining the haze removal intensity according to the haze concentration, said The haze removal strength takes a value between 0 and 1.

The haze removal processing device 5 includes: an overall atmospheric light value acquisition sub-equipment 52, which is connected with the CCD high-definition camera 2 to obtain the test image, calculates the gray value of each pixel in the test image, and grayscale The gray value of the pixel with the largest brightness value is taken as the overall atmospheric light value.

The haze removal processing device 5 includes: atmospheric scattered light value acquisition sub-device 53, which is respectively connected with the CCD high-definition camera 2 and the haze concentration detection sub-device 51, and extracts each pixel of the test image. The minimum value of the R, G, and B three-color channel pixel values is used as the target pixel value, and the edge-preserving Gaussian smoothing filter EPGF (edge-preserving gaussian filter) is used to filter the target pixel value to obtain the filtered target pixel value , subtract the filtered target pixel value from the target pixel value to obtain the target pixel difference, use EPGF to filter the target pixel difference to obtain the filtered target pixel difference, subtract the filtered target pixel value from the filtered target pixel difference to obtain Haze removal reference value, multiply the haze removal intensity by the haze removal reference value to obtain the haze removal threshold, take the minimum value of the haze removal threshold and the target pixel value as a comparison reference value, and take the comparison reference value and 0 The maximum value of is used as the atmospheric scattered light value of each pixel.

The haze removal processing device 5 includes: a medium transmission rate acquisition sub-device 54, which is respectively connected to the overall atmospheric light value acquisition sub-device 52 and the atmospheric scattered light value acquisition sub-device 53, and the atmospheric scattering of each pixel The light value is divided by the overall atmospheric light value to obtain the division value, which is subtracted from 1 to obtain the medium transmission rate for each pixel.

The haze removal processing device 5 includes: a clear image acquisition sub-equipment 55, which is respectively connected with the CCD high-definition camera 2, the overall atmospheric light value acquisition sub-equipment 52 and the medium transmission rate acquisition sub-equipment 54, and the Subtract the medium transmission rate of each pixel from 1 to obtain a first difference value, multiply the first difference value by the overall atmospheric light value to obtain a product value, and subtract the pixel value of each pixel in the test image by the The product value is obtained to obtain a second difference value, and the second difference value is divided by the medium transmission rate of each pixel to obtain a sharpened pixel value of each pixel, and the pixel value of each pixel in the test image includes the R of each pixel in the test image, G, B three-color channel pixel value, correspondingly, the clear pixel value of each pixel obtained includes each pixel R, G, B three-color channel clear pixel value, The sharpened pixel values of all pixels constitute the defogged test image.

The defogging processing method performed by the dehazing processing device 5 on the contour image is the same as the defogging processing method performed on the test image.

The image processor 3 is connected to the haze removal processing device 5, and includes a power meter type recognition unit, a contrast enhancement unit, a median filter unit, a grayscale processing unit, a character segmentation unit and a character recognition unit.

The electric energy meter type identification unit is respectively connected to the haze removal processing device 5 and the static memory, matches the defogged contour image with the reference image templates of the various types of electric energy meters one by one, and matches the successfully matched The electric energy meter type corresponding to the reference image template is output to the static memory as a predetermined electric energy meter type for storage.

The contrast enhancement unit is connected with the CCD high-definition camera to perform contrast enhancement processing on the defogging test image to obtain an enhanced image.

The median filter unit is connected to the contrast enhancement unit to perform median filter processing on the enhanced image to obtain a filtered image.

The grayscale processing unit is connected to the median filter unit, and performs grayscale processing on the filtered image to obtain a grayscale image.

The character segmentation unit is respectively connected to the grayscale processing unit and the static memory, and the grayscale value in the grayscale image is between the predetermined character upper limit gray threshold and the predetermined character lower limit gray threshold The pixels are identified and composed into multiple character sub-images.

The character recognition unit is connected to the character segmentation unit, recognizes the character corresponding to each character sub-image based on a predetermined OCR recognition algorithm, and recognizes the character according to the position of each character sub-image in the grayscale image Multiple characters are combined to obtain the recognition string.

Described ARM11 processor 4 is respectively connected with each unit of described image processor 3, described static memory, described CCD high-definition camera 2 and described infrared transceiver 1, at first controls described CCD high-definition camera 2 to photograph described outline image, controlling the dehaze processing device 5 to perform dehaze processing on the outline image, controlling the electric energy meter type identification unit to identify the predetermined electric energy meter type, and subsequently, in the static memory based on the The determined electric energy meter type searches the electric energy meter information table to obtain the infrared communication address, test character string, character upper limit grayscale threshold and character lower limit grayscale threshold corresponding to the predetermined electric energy meter type and serve as the determined infrared communication The address, the determined test character string, the determined character upper limit gray scale threshold and the determined character lower limit gray scale threshold are stored in the static memory, and the infrared transceiver 1 is controlled to send the detected electric energy meter with the determined infrared communication address including The test signal of the predetermined test character string, so that the detected electric energy meter controls its display screen to display the predetermined test character string included in the test signal.

The ARM11 processor 4 controls the CCD high-definition camera 2 to take a test image after a preset time, controls the haze removal processing device 5 to perform a fog removal process on the test image, and starts the contrast enhancement unit, the The median filtering unit, the grayscale processing unit, the character segmentation unit and the character recognition unit are used to obtain the recognition character string, and combine the recognition character string with the determined character string saved in the static memory The test strings match, if the match is successful, a no-fault prompt signal is sent, and if the match fails, a fault alarm signal is sent.

Wherein, when the tested electric energy meter receives the test signal including the predetermined test character string, it uses its built-in memory to save its current reading in real time, so as to restore its current reading on its display screen after the inspection is over.

Wherein, in the inspection terminal, optionally, the energy meter type identification unit, the contrast enhancement unit, the median filter unit, the grayscale processing unit, the character segmentation unit and the The character recognition unit is realized by using different FPGA chips respectively, and the inspection terminal can also include: a barcode parser, to detect the barcode attached to the detected electric energy meter, and obtain the corresponding user name and user name of the detected electric energy meter. Address; wireless communication interface, is connected with described ARM11 processor 4 and described barcode resolver, to wirelessly send described user name and described user address to the electric power supply management platform of far-end when receiving described fault alarm signal The inspection terminal may also include: an auxiliary camera light source, including a brightness sensor and a lighting source, the brightness sensor is used to detect the brightness of the environment, the lighting source is connected to the brightness sensor, and is used to adjust its brightness based on the brightness of the environment Provided, used to assist the illumination light intensity of the CCD high-definition camera 2 to shoot.

In addition, haze images can be dehazed through a series of image processing equipment to obtain clear images and improve the visibility of images. These image processing devices perform different image processing functions, based on the principle of haze formation, to achieve the effect of removing haze. The clear processing of smog images has great application value for both military and civilian fields. Military fields include military defense, remote sensing navigation, etc., and civilian fields include road monitoring, target tracking, and automatic driving.

The process of haze image formation can be described by the atmospheric attenuation process. The relationship between the haze image and the actual image, that is, the clear image can be expressed by the overall atmospheric light value and the medium transmission rate of each pixel, that is, in the known fog In the case of a haze image, according to the overall atmospheric light value and the medium transmission rate of each pixel, a clear image can be obtained.

There are some effective and proven methods for solving the overall atmospheric light value and the medium transmission rate of each pixel. For example, for the medium transmission rate of each pixel, it is necessary to obtain the overall atmospheric light value and the atmospheric scattered light of each pixel value, and the atmospheric scattered light value of each pixel can be obtained by performing two Gaussian smoothing filters on the pixel value of each pixel in the haze image, during which the intensity of haze removal is adjustable; and the overall atmospheric There are two ways to obtain the light value. One way is to obtain the black channel of the haze image (that is, in the haze image, the black channel value of some pixels is very low, and the black channel is R, G, B three colors One of the channels), in the haze image, it is obtained by looking for the pixel with the largest gray value among the pixels with a larger black channel pixel value, and the gray value of the pixel with the largest gray value that is about to be found As the overall atmospheric light value, it participates in the clearing process of each pixel in the haze image; in addition, the overall atmospheric light value can also be obtained by the following method: calculate the gray value of each pixel in the haze image, and convert the gray value The grayscale value of the largest pixel is used as the overall atmospheric light value.

For the relationship between the specific haze image and the actual image, that is, the clear image, and the relationship between various parameters, please refer to the above content.

Through the discussion of the formation principle of the haze image, the relationship between the haze image and the clear image is established, and multiple parameters are used to represent this relationship, and then the clarity can be obtained by restoring the obtained multiple parameter values and the haze image For images with higher resolution, because the parameters are obtained using some statistical and empirical means, the image with higher resolution cannot be completely equivalent to the actual image, but it already has a considerable degree of haze removal effect, which is called haze Provide effective protection for operations in various fields under weather conditions.

In addition, infrared communication is a communication method that uses infrared rays to transmit information, which can be used to transmit information such as language, text, data, and images. The angle of infrared transmission is limited. The infrared wavelength range is 0.70μm-1mm, and the wave in the region of 300μm-1mm is also called submillimeter wave. The main influence of the atmosphere on the transmission of infrared radiation is absorption and scattering.

Infrared communication uses infrared rays in the 950nm near-infrared band as a medium for transmitting information, that is, a communication channel. The sending end modulates the baseband binary signal into a series of pulse train signals, and emits the infrared signal through the infrared emitting tube. The receiving end converts the received light pulse into an electrical signal, and then sends it to the demodulation circuit for demodulation after amplification and filtering, and then outputs it after restoring it to a binary digital signal. There are two commonly used methods: pulse width modulation (PWM) for signal modulation through pulse width and pulse time modulation (PPM) for signal modulation through the time interval between pulse trains.

Infrared communication technology includes the following specifications: IrPHY, IrLAP, IrLMP, IrCOMM, TinyTP, IrOBEX, IrLAN, and IrSimple.

Using the outdoor electric energy meter fault automatic inspection terminal of the present invention, aiming at the technical problems of low detection efficiency, high detection difficulty and inability to overcome the influence of bad weather in the existing outdoor electric energy meter defect detection technology, firstly identify the type of the detected electric energy meter, and then according to the electric energy The type of meter determines different detection strategies, in which infrared communication technology is used to ensure the information interaction between the tested electric energy meter and the inspection terminal, and finally the influence of fog and haze weather on the test image of the electric energy meter is removed, so as to realize the display defects of various outdoor electric energy meters Non-broken, high-precision rapid inspection.

It can be understood that although the present invention has been disclosed above with preferred embodiments, the above embodiments are not intended to limit the present invention. For any person skilled in the art, without departing from the scope of the technical solution of the present invention, the technical content disclosed above can be used to make many possible changes and modifications to the technical solution of the present invention, or be modified into equivalent changes, etc. effective example. Therefore, any simple modifications, equivalent changes and modifications made to the above embodiments according to the technical essence of the present invention, which do not deviate from the technical solution of the present invention, still fall within the protection scope of the technical solution of the present invention.

Claims (1)

1. A kind of outdoor watt-hour meter failure automatic inspection terminal, described inspection terminal comprises infrared transceiver, CCD high-definition camera, image processor and ARM11 processor, and described infrared transceiver is used for sending test signal to detected watt-hour meter, so that The detected watt-hour meter controls its display screen to display the test character strings included in the test signal, and the CCD high-definition camera is used to shoot the display screen of the detected watt-hour meter to output a test image, and the image processor Connect with described CCD high-definition camera, be used for carrying out image processing to described test image, to identify the character string in described test image and output as identification character string, described ARM11 processor is connected with described image processor, uses Comparing the identification character string with the test character string to determine whether to issue a fault alarm signal; It is characterized in that the inspection terminal also includes: The power supply includes a solar power supply device, a storage battery, a switch and a voltage converter. The switch is connected to the solar power supply device and the storage battery respectively, and it is determined whether to switch to the solar power supply device according to the remaining power of the storage battery to be used by the solar power supply device. The solar power supply device is powered, and the voltage converter is connected with the switch to convert the 5V voltage input through the switch to 3.3V voltage; The reset unit is used to restore each electronic component in the inspection terminal to a default state, and the default state of each electronic component is the state set by the inspection terminal manufacturer when the inspection terminal leaves the factory; The static memory is used to pre-store the reference image templates of various types of electric energy meters. The reference image templates of each type of electric energy meters are patterns obtained by pre-shooting each type of reference electric energy meters. The static memory also pre-stores An electric energy meter information table is created, and the electric energy meter information table takes the type of electric energy meter as an index, and stores the infrared communication address, test character string, character upper limit grayscale threshold and character lower limit grayscale threshold of each electric energy meter, and the character The upper limit grayscale threshold and the lower limit grayscale threshold of the characters are used to separate the characters on the display screen of the corresponding type of electric energy meter in the image from the image background; The alarm device is connected with the ARM11 processor and includes a loudspeaker and an alarm LED light, the loudspeaker is used to play a language warning file corresponding to the fault alarm signal, and the alarm LED light is used for receiving the fault alarm It will display red when receiving a signal, and display green when receiving no fault prompt signal; The CCD high-definition camera is used to photograph the display screen of the detected electric energy meter to output a test image, and is also used to photograph the appearance of the detected electric energy meter to output a profile image, the test image and the The resolution of the contour images is 1920×1080; Dehaze processing equipment, located between the CCD high-definition camera and the image processor, for receiving the test image and the outline image, and performing dehaze processing on the test image and the outline image respectively to obtaining a defogging test image and a defogging profile image, replacing the test image and the profile image, and inputting the defogging test image and the defogging profile image into the image processor; The haze removal processing equipment includes: The smog concentration detection sub-equipment is located in the air and is used to detect the smog concentration at the location of the detected electric energy meter in real time, and determine the smog removal intensity according to the smog concentration, and the value of the smog removal intensity is between 0 and 1 between; The overall atmospheric light value acquisition sub-equipment is connected with the CCD high-definition camera to obtain the test image, calculates the gray value of each pixel in the test image, and uses the gray value of the pixel with the largest gray value as the overall atmosphere light value; Atmospheric scattered light value acquisition sub-equipment is respectively connected with the CCD high-definition camera and the haze concentration detection sub-equipment, and for each pixel of the test image, extracts the minimum value of the R, G, and B three-color channel pixel values. value is used as the target pixel value, and the target pixel value is filtered using the edge-preserving Gaussian smoothing filter EPGF to obtain the filtered target pixel value, and the target pixel value is subtracted from the filtered target pixel value to obtain the target pixel difference value, using EPGF The target pixel difference is filtered to obtain the filtered target pixel difference, the filtered target pixel value is subtracted from the filtered target pixel difference to obtain the haze removal reference value, and the haze removal intensity is multiplied by the haze removal reference value to obtain Haze removal threshold, take the minimum value of the haze removal threshold and the target pixel value as a comparison reference value, and take the maximum value of the comparison reference value and 0 as the atmospheric scattered light value of each pixel; The medium transmission rate acquisition sub-device is respectively connected with the sub-device for obtaining the overall atmospheric light value and the sub-device for obtaining the atmospheric scattered light value, and divides the atmospheric scattered light value of each pixel by the overall atmospheric light value to obtain a division value, Subtracting the division value from 1 to obtain the medium transmission rate of each pixel; The clear image acquisition sub-device is respectively connected with the CCD high-definition camera, the overall atmospheric light value acquisition sub-device and the medium transmission rate acquisition sub-device, and the medium transmission rate of each pixel is subtracted from 1 to obtain the first difference value, multiply the first difference value by the overall atmospheric light value to obtain a product value, subtract the product value from the pixel value of each pixel in the test image to obtain a second difference value, and multiply the first difference value Divide the difference by the medium transmission rate of each pixel to obtain the sharpened pixel value of each pixel, the pixel value of each pixel in the test image includes R, G, and B of each pixel in the test image The pixel value of the color channel, correspondingly, the obtained clear pixel value of each pixel includes the clear pixel value of R, G, and B three color channels of each pixel, and the clear pixel values of all pixels form the defogging test image; The defogging processing method performed by the dehaze processing device on the contour image is the same as the defogging processing method performed on the test image; The image processor is connected with the haze removal processing equipment, including an electric energy meter type recognition unit, a contrast enhancement unit, a median filter unit, a grayscale processing unit, a character segmentation unit and a character recognition unit, and the electric energy meter type The identification unit is respectively connected to the dehaze processing device and the static memory, matches the dehaze profile image with the reference image templates of the various types of electric energy meters one by one, and matches the electric energy corresponding to the successfully matched reference image templates. The meter type is output to the static memory as a predetermined electric energy meter type for storage, and the contrast enhancement unit is connected with the CCD high-definition camera to perform contrast enhancement processing on the defogging test image to obtain an enhanced image, the The median filtering unit is connected to the contrast enhancement unit to perform median filtering processing on the enhanced image to obtain a filtered image, and the grayscale processing unit is connected to the median filtering unit to perform median filtering processing on the filtered image Grayscale processing to obtain a grayscale image, the character segmentation unit is connected to the grayscale processing unit and the static memory respectively, and the grayscale value in the grayscale image is grayed out at the predetermined character upper limit The pixels between the gray threshold and the determined character lower limit gray threshold are identified and form a plurality of character sub-images, the character recognition unit is connected to the character segmentation unit, and each character sub-image is identified based on a predetermined OCR recognition algorithm. characters, and combining the recognized characters according to the position of each character sub-image in the grayscale image to obtain the recognized character string; Described ARM11 processor is respectively connected with each unit of described image processor, described static memory, described CCD high-definition camera and described infrared transceiver, first controls described CCD high-definition camera to take described outline image, controls described The haze removal processing device performs defogging processing on the outline image, controls the electric energy meter type identification unit to identify the predetermined electric energy meter type, and then searches the static memory based on the predetermined electric energy meter type The electric energy meter information table is used to obtain the infrared communication address, test character string, character upper limit grayscale threshold and character lower limit grayscale threshold corresponding to the predetermined electric energy meter type and serve as the predetermined infrared communication address and predetermined test character respectively The string, the upper limit gray threshold of the determined character and the lower gray threshold of the determined character are stored in the static memory, and the infrared transceiver is controlled to send the determined test character string to the detected electric energy meter with the determined infrared communication address. test signal, so that the detected electric energy meter controls its display screen to display the determined test character string included in the test signal, and the ARM11 processor controls the CCD high-definition camera to take a test image after a preset time, and controls The dehaze processing device performs dehaze processing on the test image, and starts the contrast enhancement unit, the median filter unit, the grayscale processing unit, the character segmentation unit and the character recognition The unit obtains the identification string, and matches the identification string with the predetermined test string stored in the static memory. If the matching is successful, a no-fault prompt signal is sent, and if the matching fails, a fault alarm signal is sent; Wherein, when the detected electric energy meter receives the test signal including the predetermined test character string, it uses its built-in memory to save its current reading in real time, so as to restore its current reading on its display screen after the inspection; The electric energy meter type recognition unit, the contrast enhancement unit, the median filter unit, the grayscale processing unit, the character segmentation unit and the character recognition unit are respectively implemented using different FPGA chips; Barcode parser, to detect the barcode attached to the detected electric energy meter, and obtain the corresponding user name and user address to which the detected electric energy meter belongs; A wireless communication interface, connected with the ARM11 processor and the barcode analyzer, to wirelessly send the user name and the user address to the remote power supply management platform when the fault alarm signal is received; Camera auxiliary light source, including brightness sensor and lighting source, described brightness sensor is used for detecting ambient brightness, and described lighting source is connected with described brightness sensor, is used for adjusting the CCD high-definition camera that it provides based on described ambient brightness The light intensity of the captured lighting.