Intelligent identification system for different target contact scenarios in distribution grid

Abstract

The present invention relates to an intelligent identification system for contact scenes of different targets in a power distribution network, comprising: a follow-up shooting mechanism, arranged near the power distribution network, used to follow the movement of an equipotential electrician to shoot an imaging picture with the equipotential electrician as the center of the field of view, and output it as a real-time follow-up picture, the follow-up shooting mechanism comprising a preview picture acquisition unit, a target recognition unit and a lens adjustment unit; a contact identification device, connected to the data sharpening device, used to obtain the image area occupied by the equipotential electrician in the data sharpened image and the image area occupied by the high-altitude protection rope in the data sharpened image, and based on the image areas occupied by the two, intelligently analyze whether the equipotential electrician and the high-altitude protection rope maintain a contact state. The present invention intelligently analyzes whether the equipotential electrician and the high-altitude protection rope maintain a contact state based on various visual data at the work site of the equipotential electrician, thereby providing key data for whether the equipotential electrician is out of the protection of the high-altitude protection rope.

Description

Technical Field

[0001] The present invention relates to the field of power distribution networks, and in particular to an intelligent identification system for different target contact scenarios in a power distribution network. Background Art

[0002] Equipotential, that is, equal electric potential. If two test points are selected in a live line and it is measured that there is no voltage or potential difference between them, then the two test points are deemed to be of equal potential and there is no resistance between them. In the power system, the downward hollow triangle symbol is used to represent equipotential, which actually represents grounding. The equipotential connection in the building is to connect the exposed metal and conductive parts of each electrical device and other device in the building with an artificial or natural grounding body with a conductor to reduce the potential difference. There are total equipotential connection, local equipotential connection and auxiliary equipotential connection. The equipotential electrician is a worker who is at the same potential as the live body when working with electricity.

[0003] Currently, the safety operation specifications of the distribution network require that equipotential electricians always wear high-altitude protection ropes, that is, the equipotential electricians and the high-altitude protection ropes are always in contact. However, there is no targeted technical solution in the prior art for achieving high-precision identification of the contact status between the equipotential electricians and the high-altitude protection ropes, and thus it is impossible to provide reference data for whether the equipotential electricians have escaped the protection of the high-altitude protection ropes. Summary of the invention

[0004] In order to solve the technical problems in the prior art, the present invention provides an intelligent identification system for contact scenarios of different targets in a distribution grid, which can obtain the image area occupied by the equipotential electrician in a data sharpened image based on the reference shape pattern corresponding to the equipotential electrician, and obtain the image area occupied by the high-altitude protection rope in the data sharpened image based on the brightness value range corresponding to the high-altitude protection rope. When the depth of field value of the occupied image area corresponding to the equipotential electrician is the same as the depth of field value of the occupied image area corresponding to the high-altitude protection rope, each curvature value on the edge of the occupied image area corresponding to the equipotential electrician and each curvature value on the edge of the occupied image area corresponding to the high-altitude protection rope are obtained, and when the percentage of the number of curvature values ​​with the same value in the two curvature values ​​to the total number of each curvature value on the edge of the occupied image area corresponding to the equipotential electrician is greater than a preset percentage limit, a contact identification instruction is issued, otherwise, a contact non-identification instruction is issued, thereby achieving high-precision identification of the contact status of the equipotential electrician and the high-altitude protection rope, and providing key data for whether the equipotential electrician has escaped the protection of the high-altitude protection rope.

[0005] According to the present invention, a system for intelligent identification of different target contact scenarios in a distribution network is provided, the system comprising:

[0006] A follow-up shooting mechanism is arranged near the power distribution network, and is used to follow the movement of the equipotential electrician to shoot an imaging picture with the equipotential electrician as the center of the field of view, and output it as a real-time follow-up picture. The follow-up shooting mechanism includes a preview picture acquisition unit, a target recognition unit and a lens adjustment unit. The target recognition unit is connected to the preview picture acquisition unit and the lens adjustment unit respectively.

[0007] An affine transformation device, connected to the follow-up shooting mechanism, is used to perform affine transformation processing on the received real-time follow-up picture to obtain and output a corresponding affine transformation image;

[0008] A directional blurring device, connected to the affine transformation device, for performing directional blurring processing on the received affine transformation image to obtain and output a corresponding directional blurring image;

[0009] A data sharpening device, connected to the directional blurring device, for performing a spatial differential sharpening process on the received directional blurring image to obtain and output a corresponding data sharpened image;

[0010] A contact identification device is connected to the data sharpening device, and is used to obtain the image area occupied by the equipotential electrician in the data sharpened image and the image area occupied by the high-altitude protection rope in the data sharpened image. When the depth of field value of the image area occupied by the equipotential electrician is the same as the depth of field value of the image area occupied by the high-altitude protection rope, each curvature value on the edge of the image area occupied by the equipotential electrician and each curvature value on the edge of the image area occupied by the high-altitude protection rope are obtained. When the percentage of the number of curvature values ​​with the same value in the two curvature values ​​to the total number of each curvature value on the edge of the image area occupied by the equipotential electrician is greater than a preset percentage limit, a contact identification instruction is issued, otherwise, a contact non-identification instruction is issued, wherein the image area occupied by the equipotential electrician in the data sharpened image is obtained based on the reference shape pattern corresponding to the equipotential electrician, and the image area occupied by the high-altitude protection rope in the data sharpened image is obtained based on the brightness value range corresponding to the high-altitude protection rope;

[0011] Wherein, following the movement of the equipotential electrician, an imaging picture with the equipotential electrician as the center of the field of view is shot, and the imaging picture is output as a real-time following picture, and the following shooting mechanism includes a preview picture acquisition unit, a target recognition unit and a lens adjustment unit, and the target recognition unit is respectively connected to the preview picture acquisition unit and the lens adjustment unit, including: the target recognition unit is connected to the preview picture acquisition unit, and is used to identify the image block where the equipotential electrician is located in the preview picture corresponding to the power distribution network transmission scene acquired by the preview picture acquisition unit;

[0012] Among them, following the movement of the equipotential electrician, an imaging picture with the equipotential electrician as the center of the field of view is produced, and the imaging picture is output as a real-time following picture. The following shooting mechanism includes a preview picture acquisition unit, a target recognition unit and a lens adjustment unit. The target recognition unit is respectively connected to the preview picture acquisition unit and the lens adjustment unit. It also includes: the lens adjustment unit is connected to the target recognition unit, and is used to determine the adjustment strategy of the lens adjustment unit based on the deviation between the position of the central pixel point of the image block and the position of the central pixel point of the preview picture to drive the following shooting mechanism to complete the movement of following the equipotential electrician.

[0013] The present invention has at least the following three important invention points:

[0014] Important invention point A: based on the reference shape pattern corresponding to the equipotential electrician, the image area occupied by the equipotential electrician in the data sharpened image is obtained, and based on the brightness value range corresponding to the high-altitude protection rope, the image area occupied by the high-altitude protection rope in the data sharpened image is obtained. When the depth of field value of the image area occupied by the equipotential electrician is the same as the depth of field value of the image area occupied by the high-altitude protection rope, each curvature value on the edge of the image area occupied by the equipotential electrician and each curvature value on the edge of the image area occupied by the high-altitude protection rope are obtained;

[0015] Important invention point B: When the percentage of the number of curvature values ​​with the same value in the curvature values ​​of the two to the total number of curvature values ​​on the edge of the image area occupied by the equipotential electrician is greater than the preset percentage limit, a contact identification instruction is issued, otherwise, a contact non-identification instruction is issued, thereby achieving high-precision identification of the contact state of the equipotential electrician and the high-altitude protection rope, and providing key data for whether the equipotential electrician has escaped the protection of the high-altitude protection rope;

[0016] Important invention point C: A follow-up shooting mechanism with a customized structural design is used to follow the movement of an equipotential electrician to shoot an imaging picture with the equipotential electrician as the center of the field of view, and output it as a real-time follow-up picture. The follow-up shooting mechanism includes a preview picture acquisition unit, a target recognition unit and a lens adjustment unit. The target recognition unit is connected to the preview picture acquisition unit and the lens adjustment unit respectively. The target recognition unit is used to identify the image block where the equipotential electrician is located in the preview picture corresponding to the power distribution network transmission scene acquired by the preview picture acquisition unit. The lens adjustment unit is used to determine the adjustment strategy of the lens adjustment unit based on the deviation between the position of the central pixel point of the image block and the position of the central pixel point of the preview picture to drive the follow-up shooting mechanism to complete the movement shooting following the equipotential electrician. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The embodiments of the present invention will be described below with reference to the accompanying drawings, wherein:

[0018] Figure 1 It is a schematic diagram of the internal structure of the intelligent identification system for different target contact scenarios of the distribution grid shown to an equipotential electrician according to an embodiment of the present invention.

[0019] Figure 2 A schematic diagram of the internal structure of an intelligent identification system for different target contact scenarios in a power distribution grid shown by a high-altitude protection rope according to an implementation scheme of the present invention.

[0020] Figure 3 Schematic diagram of the internal structure of the intelligent identification system for different target contact scenarios in the distribution grid according to implementation scheme C of the present invention. DETAILED DESCRIPTION

[0021] The implementation scheme of the intelligent identification system for different target contact scenarios of the power distribution network of the present invention will be described in detail with reference to the accompanying drawings.

[0022] Figure 1 The internal structure diagram of the intelligent identification system for different target contact scenarios of the power distribution network shown by the equipotential electrician according to the embodiment of the present invention, the system includes:

[0023] A follow-up shooting mechanism is arranged near the power distribution network, and is used to follow the movement of the equipotential electrician to shoot an imaging picture with the equipotential electrician as the center of the field of view, and output it as a real-time follow-up picture. The follow-up shooting mechanism includes a preview picture acquisition unit, a target recognition unit and a lens adjustment unit. The target recognition unit is connected to the preview picture acquisition unit and the lens adjustment unit respectively.

[0024] Specifically, the follow-up shooting mechanism is arranged near the power distribution network, and is used to follow the movement of the equipotential electrician to shoot an imaging picture with the equipotential electrician as the center of the field of view, and output it as a real-time follow-up picture. The follow-up shooting mechanism includes a preview picture acquisition unit, a target recognition unit and a lens adjustment unit. The target recognition unit is connected to the preview picture acquisition unit and the lens adjustment unit respectively. The follow-up shooting mechanism has a built-in photoelectric sensing unit for performing a photoelectric sensing operation of the imaging picture;

[0025] An affine transformation device, connected to the follow-up shooting mechanism, is used to perform affine transformation processing on the received real-time follow-up picture to obtain and output a corresponding affine transformation image;

[0026] A directional blurring device, connected to the affine transformation device, for performing directional blurring processing on the received affine transformation image to obtain and output a corresponding directional blurring image;

[0027] A data sharpening device, connected to the directional blurring device, for performing a spatial differential sharpening process on the received directional blurring image to obtain and output a corresponding data sharpened image;

[0028] A contact identification device is connected to the data sharpening device, and is used to obtain the image area occupied by the equipotential electrician in the data sharpened image and the image area occupied by the high-altitude protection rope in the data sharpened image. When the depth of field value of the image area occupied by the equipotential electrician is the same as the depth of field value of the image area occupied by the high-altitude protection rope, each curvature value on the edge of the image area occupied by the equipotential electrician and each curvature value on the edge of the image area occupied by the high-altitude protection rope are obtained. When the percentage of the number of curvature values ​​with the same value in the two curvature values ​​to the total number of each curvature value on the edge of the image area occupied by the equipotential electrician is greater than a preset percentage limit, a contact identification instruction is issued, otherwise, a contact non-identification instruction is issued, wherein the image area occupied by the equipotential electrician in the data sharpened image is obtained based on the reference shape pattern corresponding to the equipotential electrician, and the image area occupied by the high-altitude protection rope in the data sharpened image is obtained based on the brightness value range corresponding to the high-altitude protection rope;

[0029] Wherein, following the movement of the equipotential electrician, an imaging picture with the equipotential electrician as the center of the field of view is shot, and the imaging picture is output as a real-time following picture, and the following shooting mechanism includes a preview picture acquisition unit, a target recognition unit and a lens adjustment unit, and the target recognition unit is respectively connected to the preview picture acquisition unit and the lens adjustment unit, including: the target recognition unit is connected to the preview picture acquisition unit, and is used to identify the image block where the equipotential electrician is located in the preview picture corresponding to the power distribution network transmission scene acquired by the preview picture acquisition unit;

[0030] Among them, following the movement of the equipotential electrician, an imaging picture with the equipotential electrician as the center of the field of view is produced, and the imaging picture is output as a real-time following picture. The following shooting mechanism includes a preview picture acquisition unit, a target recognition unit and a lens adjustment unit. The target recognition unit is respectively connected to the preview picture acquisition unit and the lens adjustment unit. It also includes: the lens adjustment unit is connected to the target recognition unit, and is used to determine the adjustment strategy of the lens adjustment unit based on the deviation between the position of the central pixel point of the image block and the position of the central pixel point of the preview picture to drive the following shooting mechanism to complete the movement of following the equipotential electrician.

[0031] Wherein, the lens adjustment unit is connected to the target recognition unit, and is used to determine the adjustment strategy of the lens adjustment unit based on the deviation between the position of the central pixel point of the image block and the position of the central pixel point of the preview picture to drive the follow-up shooting mechanism to complete the mobile shooting following the equipotential electrician, including: in the adjusted preview picture, when the position of the central pixel point of the image block overlaps with the position of the central pixel point of the adjusted preview picture, the lens adjustment unit is triggered to perform a real-time shooting operation to obtain the real-time following picture.

[0032] Figure 2 A schematic diagram of the internal structure of an intelligent identification system for different target contact scenarios in a power distribution grid shown by a high-altitude protection rope according to an implementation scheme of the present invention.

[0033] Compared with the equipotential electrician in the implementation scheme, the intelligent identification system for different target contact scenarios of the distribution network shown in the implementation scheme of the high-altitude protection rope can also include the following components:

[0034] a thickness sensor device, connected to the affine transformation device, the directional blurring device, the data sharpening device and the contact identification device, respectively, for measuring the current real-time thickness values ​​of the affine transformation device, the directional blurring device, the data sharpening device and the contact identification device respectively;

[0035] Among them, the thickness sensor device is respectively connected to the affine transformation device, the directional blurring device, the data sharpening device and the contact identification device, and is used to respectively measure the current real-time thickness values ​​of the affine transformation device, the directional blurring device, the data sharpening device and the contact identification device. The thickness sensor device includes multiple thickness measurement units, which are respectively connected to the affine transformation device, the directional blurring device, the data sharpening device and the contact identification device to complete the respective measurements of the current real-time thickness values ​​of the affine transformation device, the directional blurring device, the data sharpening device and the contact identification device.

[0036] Among them, the thickness sensing device includes a plurality of thickness measuring units, which are used to be respectively connected to the affine transformation device, the directional blurring device, the data sharpening device and the contact identification device to complete the respective measurement of the current real-time thickness values ​​of the affine transformation device, the directional blurring device, the data sharpening device and the contact identification device, including: the plurality of thickness measuring units are a plurality of thickness sensors, which are used to be respectively connected to the affine transformation device, the directional blurring device, the data sharpening device and the contact identification device to complete the respective measurement of the current real-time thickness values ​​of the affine transformation device, the directional blurring device, the data sharpening device and the contact identification device.

[0037] Among them, the multiple thickness measurement units are multiple thickness sensors, which are used to be connected to the affine transformation device, the directional blurring device, the data sharpening device and the contact identification device respectively, so as to complete the respective measurements of the current real-time thickness values ​​of the affine transformation device, the directional blurring device, the data sharpening device and the contact identification device, including: the structures of the multiple thickness sensors are the same.

[0038] Among them, the multiple thickness measurement units are multiple thickness sensors, which are used to be connected to the affine transformation device, the directional blurring device, the data sharpening device and the contact identification device respectively to complete the measurement of the current real-time thickness values ​​of the affine transformation device, the directional blurring device, the data sharpening device and the contact identification device respectively, and also include: the multiple thickness sensors have the same thickness measurement upper limit value and thickness measurement lower limit value.

[0039] Figure 3 Schematic diagram of the internal structure of the intelligent identification system for different target contact scenarios in the distribution grid according to implementation scheme C of the present invention.

[0040] Compared with the equipotential electrician in the implementation scheme, the intelligent identification system for different target contact scenarios of the distribution grid shown in implementation scheme C can also include the following components:

[0041] The numerical temporary storage mechanism is respectively connected to the affine transformation device, the directional blurring device, the data sharpening device and the plurality of thickness measurement units of the contact identification device, and is used for temporarily storing the input data and output data of the affine transformation device, the directional blurring device, the data sharpening device and the contact identification device respectively.

[0042] Among them, the numerical temporary storage mechanism is respectively connected to the affine transformation device, the directional blurring device, the data sharpening device and multiple thickness measurement units of the contact identification device, and is used to temporarily store the input data and output data of the affine transformation device, the directional blurring device, the data sharpening device and the contact identification device respectively, including: the numerical temporary storage mechanism is FL equipotential electrical SH flash memory.

[0043] Among them, the numerical temporary storage mechanism is respectively connected to the affine transformation device, the directional blurring device, the data sharpening device and multiple thickness measurement units of the contact identification device, and is used to temporarily store the input data and output data of the affine transformation device, the directional blurring device, the data sharpening device and the contact identification device respectively, including: the numerical temporary storage mechanism is an MMC storage chip.

[0044] In addition, in the intelligent identification system for different target contact scenarios in the distribution grid, the image area occupied by the equipotential electrician in the data-sharpened image and the image area occupied by the high-altitude protection rope in the data-sharpened image are obtained, and when the depth of field value of the occupied image area corresponding to the equipotential electrician is the same as the depth of field value of the occupied image area corresponding to the high-altitude protection rope, the various curvature values ​​on the edge of the occupied image area corresponding to the equipotential electrician and the various curvature values ​​on the edge of the occupied image area corresponding to the high-altitude protection rope are obtained, including: taking the average of the depth of field values ​​corresponding to each pixel point of the image area occupied by the equipotential electrician in the data-sharpened image as the depth of field value of the occupied image area corresponding to the equipotential electrician, and taking the average of the depth of field values ​​corresponding to each pixel point of the image area occupied by the high-altitude protection rope in the data-sharpened image as the depth of field value of the occupied image area corresponding to the high-altitude protection rope.

[0045] The intelligent identification system for different target contact scenarios of the distribution network of the present invention can solve the technical problem in the prior art that it is difficult to accurately analyze whether the equipotential electrician and the high-altitude protection rope remain in contact at the distribution network work site. It can intelligently analyze whether the equipotential electrician and the high-altitude protection rope remain in contact based on various visual data at the work site of the equipotential electrician, thereby providing key data for whether the equipotential electrician has escaped the protection of the high-altitude protection rope.

[0046] As described herein, one of ordinary skill in the art will recognize that various changes and modifications can be made to the present invention without departing from the broader aspects of the invention.

Claims

1. An intelligent identification system for different target contact scenarios in a distribution network, characterized in that: The system comprises: A follow-up shooting mechanism is arranged near the power distribution network, and is used to follow the movement of the equipotential electrician to shoot an imaging picture with the equipotential electrician as the center of the field of view, and output it as a real-time follow-up picture. The follow-up shooting mechanism includes a preview picture acquisition unit, a target recognition unit and a lens adjustment unit. The target recognition unit is connected to the preview picture acquisition unit and the lens adjustment unit respectively. An affine transformation device, connected to the follow-up shooting mechanism, is used to perform affine transformation processing on the received real-time follow-up picture to obtain and output a corresponding affine transformation image; A directional blurring device, connected to the affine transformation device, for performing directional blurring processing on the received affine transformation image to obtain and output a corresponding directional blurring image; A data sharpening device, connected to the directional blurring device, for performing a spatial differential sharpening process on the received directional blurring image to obtain and output a corresponding data sharpened image; A contact identification device is connected to the data sharpening device, and is used to obtain the image area occupied by the equipotential electrician in the data sharpened image and the image area occupied by the high-altitude protection rope in the data sharpened image. When the depth of field value of the image area occupied by the equipotential electrician is the same as the depth of field value of the image area occupied by the high-altitude protection rope, each curvature value on the edge of the image area occupied by the equipotential electrician and each curvature value on the edge of the image area occupied by the high-altitude protection rope are obtained. When the percentage of the number of curvature values ​​with the same value in the two curvature values ​​to the total number of each curvature value on the edge of the image area occupied by the equipotential electrician is greater than a preset percentage limit, a contact identification instruction is issued, otherwise, a contact non-identification instruction is issued, wherein the image area occupied by the equipotential electrician in the data sharpened image is obtained based on the reference shape pattern corresponding to the equipotential electrician, and the image area occupied by the high-altitude protection rope in the data sharpened image is obtained based on the brightness value range corresponding to the high-altitude protection rope; Wherein, following the movement of the equipotential electrician, an imaging picture with the equipotential electrician as the center of the field of view is shot, and the imaging picture is output as a real-time following picture, and the following shooting mechanism includes a preview picture acquisition unit, a target recognition unit and a lens adjustment unit, and the target recognition unit is respectively connected to the preview picture acquisition unit and the lens adjustment unit, including: the target recognition unit is connected to the preview picture acquisition unit, and is used to identify the image block where the equipotential electrician is located in the preview picture corresponding to the power distribution network transmission scene acquired by the preview picture acquisition unit; Among them, following the movement of the equipotential electrician, an imaging picture with the equipotential electrician as the center of the field of view is produced, and the imaging picture is output as a real-time following picture. The following shooting mechanism includes a preview picture acquisition unit, a target recognition unit and a lens adjustment unit. The target recognition unit is respectively connected to the preview picture acquisition unit and the lens adjustment unit. It also includes: the lens adjustment unit is connected to the target recognition unit, and is used to determine the adjustment strategy of the lens adjustment unit based on the deviation between the position of the central pixel point of the image block and the position of the central pixel point of the preview picture to drive the following shooting mechanism to complete the movement of following the equipotential electrician.

2. The intelligent identification system for different target contact scenarios of the power distribution network according to claim 1, characterized in that: The lens adjustment unit is connected to the target recognition unit and is used to determine the adjustment strategy of the lens adjustment unit based on the deviation between the position of the central pixel point of the image block and the position of the central pixel point of the preview picture to drive the follow-up shooting mechanism to complete the mobile shooting following the equipotential electrician, including: in the adjusted preview picture, when the position of the central pixel point of the image block overlaps with the position of the central pixel point of the adjusted preview picture, the lens adjustment unit is triggered to perform a real-time shooting operation to obtain the real-time following picture.

3. The intelligent identification system for different target contact scenarios of the power distribution network according to claim 2, characterized in that: The system further comprises: a thickness sensor device, connected to the affine transformation device, the directional blurring device, the data sharpening device and the contact identification device, respectively, for measuring the current real-time thickness values ​​of the affine transformation device, the directional blurring device, the data sharpening device and the contact identification device respectively; Among them, the thickness sensor device is respectively connected to the affine transformation device, the directional blurring device, the data sharpening device and the contact identification device, and is used to respectively measure the current real-time thickness values ​​of the affine transformation device, the directional blurring device, the data sharpening device and the contact identification device. The thickness sensor device includes multiple thickness measurement units, which are respectively connected to the affine transformation device, the directional blurring device, the data sharpening device and the contact identification device to complete the respective measurements of the current real-time thickness values ​​of the affine transformation device, the directional blurring device, the data sharpening device and the contact identification device.

4. The intelligent identification system for different target contact scenarios of the power distribution network according to claim 3, characterized in that: The thickness sensing device comprises a plurality of thickness measuring units, which are respectively connected to the affine transformation device, the directional blurring device, the data sharpening device and the contact identification device to complete the respective measurements of the current real-time thickness values ​​of the affine transformation device, the directional blurring device, the data sharpening device and the contact identification device. The plurality of thickness measuring units are a plurality of thickness sensors, which are respectively connected to the affine transformation device, the directional blurring device, the data sharpening device and the contact identification device to complete the respective measurements of the current real-time thickness values ​​of the affine transformation device, the directional blurring device, the data sharpening device and the contact identification device.

5. The intelligent identification system for different target contact scenarios of the power distribution network according to claim 4, characterized in that: The multiple thickness measurement units are multiple thickness sensors, which are used to be connected to the affine transformation device, the directional blurring device, the data sharpening device and the contact identification device respectively, so as to complete the measurement of the current real-time thickness values ​​of the affine transformation device, the directional blurring device, the data sharpening device and the contact identification device respectively, including: the structures of the multiple thickness sensors are the same.

6. The intelligent identification system for different target contact scenarios of the power distribution network according to claim 5, characterized in that: The multiple thickness measurement units are multiple thickness sensors, which are used to be connected to the affine transformation device, the directional blurring device, the data sharpening device and the contact identification device respectively to complete the measurement of the current real-time thickness values ​​of the affine transformation device, the directional blurring device, the data sharpening device and the contact identification device respectively, and also include: the multiple thickness sensors have the same thickness measurement upper limit value and thickness measurement lower limit value.

7. The intelligent identification system for different target contact scenarios of a power distribution network as described in any one of claims 3 to 6, characterized in that: The system further comprises: The numerical temporary storage mechanism is respectively connected to the affine transformation device, the directional blurring device, the data sharpening device and the plurality of thickness measurement units of the contact identification device, and is used for temporarily storing the input data and output data of the affine transformation device, the directional blurring device, the data sharpening device and the contact identification device respectively.

8. The intelligent identification system for different target contact scenarios of the power distribution network according to claim 7, characterized in that: The numerical temporary storage mechanism is respectively connected to the affine transformation device, the directional blurring device, the data sharpening device and multiple thickness measurement units of the contact identification device, and is used to temporarily store the input data and output data of the affine transformation device, the directional blurring device, the data sharpening device and the contact identification device respectively. The numerical temporary storage mechanism includes: the FL equipotential electrical SH flash memory.

9. The intelligent identification system for different target contact scenarios of the power distribution network according to claim 7, characterized in that: The numerical temporary storage mechanism is respectively connected to the affine transformation device, the directional blurring device, the data sharpening device and multiple thickness measurement units of the contact identification device, and is used to temporarily store the input data and output data of the affine transformation device, the directional blurring device, the data sharpening device and the contact identification device respectively. The numerical temporary storage mechanism includes: the MMC storage chip.

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