Wiring rule analysis system for distribution boxes

Abstract

The present invention relates to a wiring rule analysis system for a distribution box, comprising: an information conversion device, which is used to intelligently analyze identification information indicating whether there is a reference layout pattern in a recursive filtering image based on various on-site visualization data of the distribution box using a BP neural network model; a wiring identification device, which is connected to the information conversion device and is used to send a wiring rule signal when the received identification information indicating whether there is a reference layout pattern in the recursive filtering image indicates that there is a reference layout pattern in the recursive filtering image, otherwise, a wiring disorder signal is sent. The wiring rule analysis system for a distribution box of the present invention is widely used and easy to operate. Since the information conversion device with a customized hardware structure can be used to intelligently judge whether there is a planned wiring pattern corresponding to the distribution box in the recursive filtering image after the on-site image of the distribution box is optimized, the intelligent identification of the degree of regularity of the internal direction of the distribution box is completed.

Description

Technical Field

[0001] The invention relates to the field of distribution boxes, and in particular to a wiring rule analysis system for distribution boxes. Background Art

[0002] The distribution box is a box that assembles switchgear, measuring instruments, protective electrical appliances and auxiliary equipment in a closed or semi-closed metal cabinet or on a screen according to the requirements of electrical wiring to form different distribution boxes for different voltages. When the distribution box is operating normally, it can connect or disconnect the circuit with the help of manual or automatic switches. In case of failure or abnormal operation, the protective electrical appliance will cut off the circuit or alarm. The distribution box can display various parameters in operation with the help of measuring instruments, and can also adjust certain electrical parameters, and give prompts or signals for deviations from normal working conditions.

[0003] The wiring inside the distribution box is regular, which makes it easy to quickly troubleshoot line faults and to perform equipment maintenance and wiring replacement inside the distribution box. However, due to irregular wiring operations and wiring changes under long-term use, the wiring pattern inside the distribution box is different from the original design and the setting difference is huge, which brings trouble to the management of the distribution box. Summary of the invention

[0004] In order to solve the technical problems in the related fields, the present invention provides a wiring rule analysis system for a distribution box, which adopts an information conversion device including a coordinate acquisition unit, a pattern acquisition unit and an intelligent recognition unit to intelligently judge whether there is a planned wiring pattern corresponding to the distribution box in the recursive filtering image, and then introduces a wiring identification device to send a wiring rule signal when the received identification information indicating whether there is a benchmark layout pattern in the recursive filtering image indicates that the benchmark layout pattern exists in the recursive filtering image, and also to send a wiring disorder signal when the received identification information indicating whether there is a benchmark layout pattern in the recursive filtering image indicates that the benchmark layout pattern does not exist in the recursive filtering image, thereby completing the intelligent identification of the degree of regularity of the internal direction of the distribution box.

[0005] According to the present invention, a wiring rule analysis system for a distribution box is provided, the system comprising:

[0006] A data storage device, used for pre-storing a reference layout pattern corresponding to the internal layout of the distribution box, wherein the imaging direction of the reference layout pattern is that the rear end of the box door of the distribution box faces the interior of the box body of the distribution box;

[0007] A rear camera mechanism is arranged at a central position at the rear end of the door of the distribution box, and is used to perform a camera operation on the interior of the distribution box to obtain and output a corresponding on-site internal picture;

[0008] A contrast retention device, connected to the rear camera mechanism, is used to perform a process of retaining the junction of two parts with obvious color or light-dark contrast in the received on-site internal picture, so as to obtain and output a corresponding contrast-retained picture;

[0009] A filter sharpening device, connected to the contrast retention device, for performing high-pass filter sharpening processing on the received contrast retention picture to obtain and output a corresponding filter sharpening picture;

[0010] A recursive filtering device, connected to the filter sharpening device, for performing adaptive recursive filtering on the received filter sharpening picture to obtain and output a corresponding recursive filtered image;

[0011] An information conversion device, connected to the data storage device and the recursive filtering device respectively and comprising a coordinate acquisition unit, a pattern acquisition unit and an intelligent recognition unit, wherein the intelligent recognition unit is connected to the coordinate acquisition unit and the pattern acquisition unit respectively, and the information conversion device is used to collect various position data corresponding to each pixel point in the foreground image area of ​​the received recursive filtering image, and to collect various grayscale values ​​and various position data corresponding to each pixel point of the reference layout pattern, and to input various position data corresponding to each pixel point in the foreground image area of ​​the recursive filtering image and various grayscale values ​​and various position data corresponding to each pixel point of the reference layout pattern in parallel into a BP neural network model to execute the model, and to obtain identification information output by the model indicating whether the reference layout pattern exists in the recursive filtering image;

[0012] a wiring identification device connected to the information conversion device, for sending a wiring rule signal when the received identification information indicating whether the reference layout pattern exists in the recursive filtering image indicates that the reference layout pattern exists in the recursive filtering image, and for sending a wiring disorder signal when the received identification information indicating whether the reference layout pattern exists in the recursive filtering image indicates that the reference layout pattern does not exist in the recursive filtering image;

[0013] Among them, various position data corresponding to each pixel point in the foreground image area in the recursively filtered image, various grayscale values ​​corresponding to each pixel point of the benchmark layout pattern and various position data are input in parallel into the BP neural network model to execute the model, and the identification information output by the model indicating whether there is a benchmark layout pattern in the recursively filtered image includes: the BP neural network model is a BP neural network that has completed multiple learning times and the number of learning times is positively correlated with the number of each pixel point of the benchmark layout pattern.

[0014] It can be seen that the present invention has at least the following three significant substantive features:

[0015] Substantive feature 1: The information conversion device including the coordinate acquisition unit, the pattern acquisition unit and the intelligent recognition unit is used to provide an effective hardware basis for intelligently judging whether there is a pattern to be compared in the recursive filtering image;

[0016] Substantive feature 2: Specifically, various position data corresponding to each pixel point in the foreground image area in the recursive filtering image, various grayscale values ​​corresponding to each pixel point in the reference layout pattern and various position data are inputted into the BP neural network model in parallel to execute the model, and identification information indicating whether the reference layout pattern exists in the recursive filtering image is obtained as output by the model;

[0017] Substantive feature three: The introduction of a wiring identification device is used to send out a wiring rule signal when the received identification information indicating whether a benchmark layout pattern exists in the recursive filtering image indicates that a benchmark layout pattern exists in the recursive filtering image. It is also used to send out a wiring disorder signal when the received identification information indicating whether a benchmark layout pattern exists in the recursive filtering image indicates that a benchmark layout pattern does not exist in the recursive filtering image, thereby completing the intelligent identification of the degree of regularity of the internal direction of the distribution box.

[0018] The wiring rule analysis system for a distribution box of the present invention is widely used and easy to operate. Since the information conversion device with a customized hardware structure can be used to intelligently judge whether there is a planned wiring pattern corresponding to the distribution box on the recursive filtering image after the distribution box on-site image optimization processing, the intelligent identification of the regularity of the internal direction of the distribution box is completed. DETAILED DESCRIPTION

[0019] The following is a detailed description of the implementation scheme of the wiring rule analysis system for a distribution box of the present invention.

[0020] According to a first embodiment of the present invention, a wiring rule analysis system for a distribution box includes:

[0021] A data storage device, used for pre-storing a reference layout pattern corresponding to the internal layout of the distribution box, wherein the imaging direction of the reference layout pattern is that the rear end of the box door of the distribution box faces the interior of the box body of the distribution box;

[0022] Specifically, a data storage device is used to pre-store a reference layout pattern corresponding to the internal layout of a distribution box, wherein the imaging direction of the reference layout pattern is that the rear end of the box door of the distribution box faces the interior of the distribution box body, including: the data storage device can be selected as a FLASH flash memory, a TF storage chip or an MMC storage chip, and is used to pre-store a reference layout pattern corresponding to the internal layout of the distribution box, wherein the imaging direction of the reference layout pattern is that the rear end of the box door of the distribution box faces the interior of the distribution box body;

[0023] A rear camera mechanism is arranged at a central position at the rear end of the door of the distribution box, and is used to perform a camera operation on the interior of the distribution box to obtain and output a corresponding on-site internal picture;

[0024] For example, the rear camera mechanism is arranged at the central position of the rear end of the box door of the distribution box, and is used to perform a camera operation on the inside of the distribution box to obtain and output the corresponding on-site internal picture, including: the rear camera mechanism has a built-in photoelectric sensor;

[0025] A contrast retention device, connected to the rear camera mechanism, is used to perform a process of retaining the junction of two parts with obvious color or light-dark contrast in the received on-site internal picture, so as to obtain and output a corresponding contrast-retained picture;

[0026] Specifically, the contrast retention device is connected to the rear camera mechanism and is used to perform a process of retaining the junction of two parts with obvious color or light-dark contrast in the received scene internal picture, so as to obtain and output the corresponding contrast retention picture. The process includes: the contrast retention device can be realized by using an ASIC device, which is connected to the rear camera mechanism and is used to perform a process of retaining the junction of two parts with obvious color or light-dark contrast in the received scene internal picture, so as to obtain and output the corresponding contrast retention picture;

[0027] A filter sharpening device, connected to the contrast retention device, for performing high-pass filter sharpening processing on the received contrast retention picture to obtain and output a corresponding filter sharpening picture;

[0028] A recursive filtering device, connected to the filter sharpening device, for performing adaptive recursive filtering on the received filter sharpening picture to obtain and output a corresponding recursive filtered image;

[0029] An information conversion device, connected to the data storage device and the recursive filtering device respectively and comprising a coordinate acquisition unit, a pattern acquisition unit and an intelligent recognition unit, wherein the intelligent recognition unit is connected to the coordinate acquisition unit and the pattern acquisition unit respectively, and the information conversion device is used to collect various position data corresponding to each pixel point in the foreground image area of ​​the received recursive filtering image, and to collect various grayscale values ​​and various position data corresponding to each pixel point of the reference layout pattern, and to input various position data corresponding to each pixel point in the foreground image area of ​​the recursive filtering image and various grayscale values ​​and various position data corresponding to each pixel point of the reference layout pattern in parallel into a BP neural network model to execute the model, and to obtain identification information output by the model indicating whether the reference layout pattern exists in the recursive filtering image;

[0030] a wiring identification device connected to the information conversion device, for sending a wiring rule signal when the received identification information indicating whether the reference layout pattern exists in the recursive filtering image indicates that the reference layout pattern exists in the recursive filtering image, and for sending a wiring disorder signal when the received identification information indicating whether the reference layout pattern exists in the recursive filtering image indicates that the reference layout pattern does not exist in the recursive filtering image;

[0031] The position data corresponding to each pixel point in the foreground image area of ​​the recursive filtering image, the grayscale values ​​corresponding to each pixel point of the reference layout pattern and the position data are inputted into the BP neural network model in parallel to execute the model, and the identification information indicating whether the reference layout pattern exists in the recursive filtering image outputted by the model is obtained, which includes: the BP neural network model is a BP neural network after completing multiple learnings and the number of learnings is positively correlated with the number of each pixel point of the reference layout pattern;

[0032] Specifically, the BP neural network model is a BP neural network that has completed multiple learnings and the number of learnings is positively correlated with the number of each pixel point of the reference layout pattern, including: selecting a numerical mapping function to represent a numerical mapping relationship in which the number of learnings is positively correlated with the number of each pixel point of the reference layout pattern;

[0033] Among them, various position data corresponding to each pixel point in the foreground image area in the recursive filtering image, various grayscale values ​​corresponding to each pixel point of the benchmark layout pattern, and various position data are input in parallel into the BP neural network model to execute the model, and the identification information output by the model indicating whether there is a benchmark layout pattern in the recursive filtering image also includes: when the value of the identification information is 0B00, it indicates that there is no benchmark layout pattern in the recursive filtering image.

[0034] Different from the first embodiment of the present invention, the wiring rule analysis system for a distribution box shown in the second embodiment of the present invention may further include:

[0035] A parallel data interface, for connecting the contrast preserving device, the filter sharpening device, the recursive filtering device and the information conversion device, respectively, to receive data from the contrast preserving device, the filter sharpening device, the recursive filtering device and the information conversion device, respectively, and to send parallel data from a parallel data bus to the contrast preserving device, the filter sharpening device, the recursive filtering device and the information conversion device, respectively;

[0036] Among them, the parallel data interface is used for connecting the contrast retention device, the filter sharpening device, the recursive filtering device and the information conversion device respectively, so as to receive data from the contrast retention device, the filter sharpening device, the recursive filtering device and the information conversion device respectively, and send parallel data from the parallel data bus to the contrast retention device, the filter sharpening device, the recursive filtering device and the information conversion device respectively, including: the parallel data bus is one of a 16-bit parallel data bus and a 32-bit parallel data bus.

[0037] Different from the first embodiment of the present invention, the wiring rule analysis system for a distribution box shown in the third embodiment of the present invention may further include:

[0038] The user control interface is connected to the contrast retention device, the filter sharpening device, the recursive filtering device and the information conversion device respectively, and is used to receive user control instructions for the contrast retention device, the filter sharpening device, the recursive filtering device and the information conversion device respectively.

[0039] Next, the specific structure of the wiring rule analysis system for a distribution box of the present invention will be further described.

[0040] In a wiring rule analysis system for a distribution box according to any one of the embodiments of the present invention:

[0041] The contrast retention device, the filter sharpening device, the recursive filtering device and the information conversion device are connected to the same quartz oscillation device to obtain the timing data provided by the quartz oscillation device, and the contrast retention device, the filter sharpening device, the recursive filtering device and the information conversion device are respectively connected to the same content storage chip, and the content storage chip is one of a FLASH flash memory, an SDRAM memory chip and a DDR memory chip.

[0042] In a wiring rule analysis system for a distribution box according to any one of the embodiments of the present invention:

[0043] The contrast retention device, the filter sharpening device, the recursive filtering device and the information conversion device are respectively connected to the same IIC control bus, and are used to receive various control commands sent by the IIC control bus, and the various control commands are used to respectively configure various working parameters of the contrast retention device, the filter sharpening device, the recursive filtering device and the information conversion device.

[0044] In a wiring rule analysis system for a distribution box according to any one of the embodiments of the present invention:

[0045] The contrast retention device, the filter sharpening device, the recursive filtering device and the information conversion device are respectively connected to the IIC control bus and are used to receive various control instructions sent through the IIC control bus.

[0046] In a wiring rule analysis system for a distribution box according to any one of the embodiments of the present invention:

[0047] The contrast retention device, the filter sharpening device, the recursive filtering device and the information conversion device are respectively connected to the same MCU controller, and are used for switching the contrast retention device, the filter sharpening device, the recursive filtering device and the information conversion device between the sleep mode and the working mode under the control of the same MCU controller.

[0048] And in a wiring rule analysis system for a distribution box according to any embodiment of the present invention:

[0049] The contrast retention device, the filter sharpening device, the recursive filtering device and the information conversion device are respectively connected to the same MCU controller, and are used for switching the contrast retention device, the filter sharpening device, the recursive filtering device and the information conversion device between the sleep mode and the working mode under the control of the same MCU controller, including: the same MCU controller is designed based on the ARM13 core.

[0050] In addition, in the wiring rule analysis system for distribution boxes, various position data corresponding to each pixel point in the foreground image area in the recursive filtered image, various grayscale values ​​corresponding to each pixel point of the benchmark layout pattern, and various position data are input in parallel into the BP neural network model to execute the model, and the identification information output by the model indicating whether there is a benchmark layout pattern in the recursive filtered image also includes: when the value of the identification information is 0B01, it indicates that there is a benchmark layout pattern in the recursive filtered image.

[0051] It should be understood that the present invention is not limited to the above-mentioned embodiments. Various modifications and improvements can be made to the present invention without departing from the spirit and scope of the present invention. Therefore, the scope of the present invention is determined only by the attached claims and their equivalents.

Claims

1. A wiring rule analysis system for a distribution box, characterized in that: The system comprises: A data storage device, used for pre-storing a reference layout pattern corresponding to the internal layout of the distribution box, wherein the imaging direction of the reference layout pattern is that the rear end of the box door of the distribution box faces the interior of the box body of the distribution box; A rear camera mechanism is arranged at a central position at the rear end of the door of the distribution box, and is used to perform a camera operation on the interior of the distribution box to obtain and output a corresponding on-site internal picture; A contrast retention device, connected to the rear camera mechanism, is used to perform a process of retaining the junction of two parts with obvious color or light-dark contrast in the received on-site internal picture, so as to obtain and output a corresponding contrast-retained picture; A filter sharpening device, connected to the contrast retention device, for performing high-pass filter sharpening processing on the received contrast retention picture to obtain and output a corresponding filter sharpening picture; A recursive filtering device, connected to the filter sharpening device, for performing adaptive recursive filtering on the received filter sharpening picture to obtain and output a corresponding recursive filtered image; An information conversion device, connected to the data storage device and the recursive filtering device respectively and comprising a coordinate acquisition unit, a pattern acquisition unit and an intelligent recognition unit, wherein the intelligent recognition unit is connected to the coordinate acquisition unit and the pattern acquisition unit respectively, and the information conversion device is used to collect various position data corresponding to each pixel point in the foreground image area of ​​the received recursive filtering image, and to collect various grayscale values ​​and various position data corresponding to each pixel point of the reference layout pattern, and to input various position data corresponding to each pixel point in the foreground image area of ​​the recursive filtering image and various grayscale values ​​and various position data corresponding to each pixel point of the reference layout pattern in parallel into a BP neural network model to execute the model, and to obtain identification information output by the model indicating whether the reference layout pattern exists in the recursive filtering image; a wiring identification device connected to the information conversion device, for sending a wiring rule signal when the received identification information indicating whether the reference layout pattern exists in the recursive filtering image indicates that the reference layout pattern exists in the recursive filtering image, and for sending a wiring disorder signal when the received identification information indicating whether the reference layout pattern exists in the recursive filtering image indicates that the reference layout pattern does not exist in the recursive filtering image; Among them, various position data corresponding to each pixel point in the foreground image area in the recursively filtered image, various grayscale values ​​corresponding to each pixel point of the benchmark layout pattern and various position data are input in parallel into the BP neural network model to execute the model, and the identification information output by the model indicating whether there is a benchmark layout pattern in the recursively filtered image includes: the BP neural network model is a BP neural network that has completed multiple learning times and the number of learning times is positively correlated with the number of each pixel point of the benchmark layout pattern.

2. The wiring rule analysis system for a distribution box according to claim 1, characterized in that: The various position data corresponding to each pixel point in the foreground image area of ​​the recursively filtered image, the various grayscale values ​​corresponding to each pixel point of the benchmark layout pattern, and the various position data are input in parallel into the BP neural network model to execute the model, and the identification information output by the model indicating whether the benchmark layout pattern exists in the recursively filtered image also includes: when the value of the identification information is 0B00, it indicates that the benchmark layout pattern does not exist in the recursively filtered image.

3. The wiring rule analysis system for a distribution box according to claim 2, characterized in that: The system further comprises: A parallel data interface, for connecting the contrast preserving device, the filter sharpening device, the recursive filtering device and the information conversion device, respectively, for receiving data from the contrast preserving device, the filter sharpening device, the recursive filtering device and the information conversion device, respectively, and for sending parallel data from a parallel data bus to the contrast preserving device, the filter sharpening device, the recursive filtering device and the information conversion device, respectively; Among them, the parallel data interface is used for connecting the contrast retention device, the filter sharpening device, the recursive filtering device and the information conversion device respectively, and for receiving data from the contrast retention device, the filter sharpening device, the recursive filtering device and the information conversion device respectively, and sending parallel data from the parallel data bus to the contrast retention device, the filter sharpening device, the recursive filtering device and the information conversion device respectively, including: the parallel data bus is one of a 16-bit parallel data bus and a 32-bit parallel data bus.

4. The wiring rule analysis system for a distribution box according to claim 3, characterized in that: The system further comprises: The user control interface is connected to the contrast retention device, the filter sharpening device, the recursive filtering device and the information conversion device respectively, and is used to receive user control instructions for the contrast retention device, the filter sharpening device, the recursive filtering device and the information conversion device respectively.

5. The wiring rule analysis system for a distribution box according to any one of claims 2 to 4, characterized in that: The contrast retention device, the filter sharpening device, the recursive filtering device and the information conversion device are connected to the same quartz oscillation device to obtain the timing data provided by the quartz oscillation device, and the contrast retention device, the filter sharpening device, the recursive filtering device and the information conversion device are respectively connected to the same content storage chip, and the content storage chip is one of a FLASH flash memory, an SDRAM memory chip and a DDR memory chip.

6. The wiring rule analysis system for a distribution box according to any one of claims 2 to 4, characterized in that: The contrast retention device, the filter sharpening device, the recursive filtering device and the information conversion device are respectively connected to the same IIC control bus, and are used to receive various control commands sent by the IIC control bus, and the various control commands are used to respectively configure various working parameters of the contrast retention device, the filter sharpening device, the recursive filtering device and the information conversion device.

7. The wiring rule analysis system for a distribution box according to claim 6, characterized in that: The contrast retention device, the filter sharpening device, the recursive filtering device and the information conversion device are respectively connected to the IIC control bus and are used to receive various control instructions sent through the IIC control bus.

8. The wiring rule analysis system for a distribution box according to any one of claims 2 to 4, characterized in that: The contrast retention device, the filter sharpening device, the recursive filtering device and the information conversion device are respectively connected to the same MCU controller, and are used for switching the contrast retention device, the filter sharpening device, the recursive filtering device and the information conversion device between the sleep mode and the working mode under the control of the same MCU controller.

9. The wiring rule analysis system for a distribution box according to claim 8, characterized in that: The contrast retention device, the filter sharpening device, the recursive filtering device and the information conversion device are respectively connected to the same MCU controller, and are used for switching the contrast retention device, the filter sharpening device, the recursive filtering device and the information conversion device between the sleep mode and the working mode under the control of the same MCU controller, including: the same MCU controller is designed based on the ARM13 core.