Fixed pull rope detection system for insulating rigid ladders installed with power supply network lines

Through the artificial intelligence model, the physical spacing between the insulated hard ladder and the fixed draw rope is solved, and the problem of lack of high-precision detection in the existing technology is solved, and effective evaluation and alarm processing of the stability of the fixed draw rope is realized.

CN118392056BActive Publication Date: 2025-03-28LILING PUKOU ELECTRIC PORCELAIN MFG CO LTD
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Patent Information

Application Number
CN202410494451.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-04-24
Publication Date
2025-03-28
Estimated Expiration
2044-04-24

AI Technical Summary

Technical Problem

The prior art lacks a high-precision detection mechanism for the physical spacing between the insulated hard ladder fixed pull rope and the insulated hard ladder, making it difficult to determine whether the fixed pull rope can achieve the expected stable effect.

Method used

The artificial intelligence model is used to intelligently identify the physical spacing between the insulated hard ladder and the fixed pull rope based on data such as multiple pixel coordinates and depth of field values, and trigger detection when the insulated hard ladder is in the unfolded state, and alarm processing is performed when the set distance threshold is exceeded.

Benefits of technology

High-precision detection of the spacing between insulated hard ladders and fixed draw ropes is achieved, ensuring that the fixed draw ropes can achieve the expected stable effect, and alarms are promptly reported when exceeding the limit.

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Abstract

The present invention relates to a fixed pull rope detection system for an insulated rigid ladder installed in a power supply network line, the system comprising: a state analysis mechanism connected to the insulated rigid ladder used in the power supply network line, for issuing a first analysis command when the insulated rigid ladder is in an unfolded state, otherwise, issuing a second analysis command; an instant alarm device, for executing an alarm processing that the fixed pull rope is too far away from the insulated rigid ladder when the physical distance between the intelligently identified insulated rigid ladder and the fixed pull rope is greater than a set distance threshold. The system provided by the present invention has a simple structure and is easy to operate. Since an artificial intelligence model can be cited to intelligently identify the physical distance between the insulated rigid ladder and the fixed pull rope based on various visual data, and when the physical distance between the insulated rigid ladder and the fixed pull rope exceeds the limit, an alarm processing that the fixed pull rope is too far away from the insulated rigid ladder is executed, thereby ensuring that the installed fixed pull rope can achieve the expected stabilization effect on the insulated rigid ladder.
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Description

Technical Field

[0001] The invention relates to the field of electric power facilities, and in particular to a fixed pull rope detection system for an insulating hard ladder equipped with a power supply network line. Background Art

[0002] As one of the commonly used power facilities, the insulated rigid ladder is a live working tool when used in live working scenarios. In other scenarios, such as substation maintenance, line climbing, meter reading, etc., the insulated rigid ladder is a safety tool. As a supporting facility for the insulated rigid ladder, the fixed pull rope of the insulated rigid ladder should have a physical distance less than or equal to the set distance threshold to ensure the safety protection effect of the insulated rigid ladder, so that the fixed pull rope installed on the insulated rigid ladder can achieve the expected stability effect on the insulated rigid ladder.

[0003] However, the prior art lacks a customized, high-precision detection mechanism for the physical distance between the fixed pull rope of the insulating rigid ladder and the insulating rigid ladder, which makes it difficult to judge whether the fixed pull rope installed on the insulating rigid ladder can achieve the expected stabilizing effect on the insulating rigid ladder. Summary of the invention

[0004] In order to solve the technical problems in the related fields, the present invention provides a fixed pull rope detection system for an insulated rigid ladder installed in a power supply network line, which can quote an artificial intelligence model to intelligently identify the physical distance between the insulated rigid ladder and the fixed pull rope based on the coordinate values ​​of each pixel point in a first detection area, the coordinate values ​​of each pixel point in a second detection area, the curve length of the edge of the first detection area, the curve length of the edge of the second detection area, the depth of field value of each pixel point in the first detection area, and the depth of field value of each pixel point in the second detection area. The intelligent identification of the physical distance between the insulated rigid ladder and the fixed pull rope is triggered only when the insulated rigid ladder is in an unfolded state. When the physical distance between the insulated rigid ladder and the fixed pull rope obtained by the intelligent identification is greater than the set distance threshold, an alarm processing is performed that the fixed pull rope is too far away from the insulated rigid ladder, so as to ensure that the installed fixed pull rope can achieve the expected stabilization effect on the insulated rigid ladder.

[0005] According to the present invention, a fixed pull rope detection system for an insulated rigid ladder equipped with a power supply network line is provided, the system comprising:

[0006] A state analysis mechanism connected to an insulating hard ladder for a power supply network line, for issuing a first analysis command when the insulating hard ladder is in an extended state, and for issuing a second analysis command when the insulating hard ladder is not in an extended state;

[0007] A visualization imager connected to the state analysis mechanism, and configured to perform a visualization imaging operation on the wiring scene of the power supply network line upon receiving the first analysis command, so as to obtain and output a corresponding wiring scene image;

[0008] A sequential conversion mechanism, connected to the visualization imager and comprising a content enhancement device, a directional blurring device and a real-time filtering device, for sequentially performing image content enhancement processing based on logarithmic transformation, directional blurring processing and Gaussian high-pass filtering processing on the received wiring scene image, so as to obtain and output a corresponding sequential conversion image;

[0009] A first analysis device is connected to the sequential conversion mechanism, and is used to detect an imaging area of ​​the insulating hard ladder in the sequential conversion image as a first detection area based on the brightness imaging characteristics of the insulating hard ladder, and to detect an imaging area of ​​the fixed rope in the sequential conversion image as a second detection area based on the brightness imaging characteristics of the fixed rope;

[0010] a second analysis device, connected to the first analysis device, for intelligently identifying the physical distance between the insulating rigid ladder and the fixed pull rope based on the coordinate values ​​of each pixel point in the first detection area, the coordinate values ​​of each pixel point in the second detection area, the curve length of the edge of the first detection area, the curve length of the edge of the second detection area, the depth of field value of each pixel point in the first detection area, and the depth of field value of each pixel point in the second detection area by referencing the artificial intelligence model;

[0011] An instant alarm device, connected to the second analysis device, is used to execute an alarm process that the fixed pull rope is too far away from the insulating hard ladder when the physical distance between the intelligently identified insulating hard ladder and the fixed pull rope is greater than a set distance threshold;

[0012] Among them, the artificial intelligence model is referenced to intelligently identify the physical distance between the insulated rigid ladder and the fixed pull rope based on the coordinate values ​​of each pixel point in the first detection area, the coordinate values ​​of each pixel point in the second detection area, the curve length of the edge of the first detection area, the curve length of the edge of the second detection area, the depth of field value of each pixel point in the first detection area and the depth of field value of each pixel point in the second detection area, including: the artificial intelligence model is a feedforward neural network after executing a set number of trainings, and the value of the set number is proportional to the product of the length and width of the sequential transformation image.

[0013] It can be seen that the present invention mainly has the following significant technical effects:

[0014] First, based on the brightness imaging feature of the insulating hard ladder, an imaging area of ​​the insulating hard ladder in the sequential conversion image is detected as a first detection area, and based on the brightness imaging feature of the fixed rope, an imaging area of ​​the fixed rope in the sequential conversion image is detected as a second detection area;

[0015] Second, the artificial intelligence model is used to intelligently identify the physical distance between the insulated rigid ladder and the fixed pull rope based on the coordinate values ​​of each pixel point in the first detection area, the coordinate values ​​of each pixel point in the second detection area, the curve length of the edge of the first detection area, the curve length of the edge of the second detection area, the depth of field value of each pixel point in the first detection area, and the depth of field value of each pixel point in the second detection area;

[0016] Third: Only when the insulating rigid ladder is in the unfolded state, the intelligent identification of the physical distance between the insulating rigid ladder and the fixed pull rope is triggered, and when the physical distance between the insulating rigid ladder and the fixed pull rope obtained by the intelligent identification is greater than the set distance threshold, the alarm processing of the fixed pull rope being too far away from the insulating rigid ladder is executed to ensure that the installed fixed pull rope can achieve the expected stabilizing effect on the insulating rigid ladder.

[0017] The fixed pull rope detection system for the insulating hard ladder installed with the power supply network line of the present invention has a simple structure and is easy to operate. Since it can refer to the artificial intelligence model to intelligently identify the physical distance between the insulating hard ladder and the fixed pull rope based on various visual data, and when the physical distance between the insulating hard ladder and the fixed pull rope exceeds the limit, an alarm processing is executed that the fixed pull rope is too far away from the insulating hard ladder, thereby ensuring that the installed fixed pull rope can achieve the expected stabilization effect on the insulating hard ladder. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The embodiments of the present invention will be described below with reference to the accompanying drawings, wherein:

[0019] Figure 1 It is a schematic diagram of the internal structure of a fixed pull rope detection system for an insulated rigid ladder equipped with a power supply network line according to the first embodiment of the present invention.

[0020] Figure 2 It is a schematic diagram of the internal structure of a fixed pull rope detection system for an insulated rigid ladder equipped with a power supply network line according to a second embodiment of the present invention.

[0021] Figure 3 It is a schematic diagram of the internal structure of a fixed pull rope detection system for an insulated rigid ladder equipped with a power supply network line according to a third embodiment of the present invention. DETAILED DESCRIPTION

[0022] The following will describe in detail an embodiment of the fixed pull rope detection system for an insulated rigid ladder equipped with a power supply network line according to the present invention with reference to the accompanying drawings.

[0023] Figure 1 This is a schematic diagram of the internal structure of a fixed pull rope detection system for an insulated rigid ladder equipped with a power supply network line according to a first embodiment of the present invention, the system comprising:

[0024] A state analysis mechanism connected to an insulating hard ladder for a power supply network line, for issuing a first analysis command when the insulating hard ladder is in an extended state, and for issuing a second analysis command when the insulating hard ladder is not in an extended state;

[0025] For example, the state analysis mechanism is connected to the insulating hard ladder for the power supply network line, and is used to issue a first analysis command when the insulating hard ladder is in the unfolded state, and is also used to issue a second analysis command when the insulating hard ladder is not in the unfolded state, including: an FPGA device may be selected to implement the state analysis mechanism, which is connected to the insulating hard ladder for the power supply network line, and is used to issue a first analysis command when the insulating hard ladder is in the unfolded state, and is also used to issue a second analysis command when the insulating hard ladder is not in the unfolded state;

[0026] A visualization imager connected to the state analysis mechanism, and configured to perform a visualization imaging operation on the wiring scene of the power supply network line upon receiving the first analysis command, so as to obtain and output a corresponding wiring scene image;

[0027] A sequential conversion mechanism, connected to the visualization imager and comprising a content enhancement device, a directional blurring device and a real-time filtering device, for sequentially performing image content enhancement processing based on logarithmic transformation, directional blurring processing and Gaussian high-pass filtering processing on the received wiring scene image, so as to obtain and output a corresponding sequential conversion image;

[0028] A first analysis device is connected to the sequential conversion mechanism, and is used to detect an imaging area of ​​the insulating hard ladder in the sequential conversion image as a first detection area based on the brightness imaging characteristics of the insulating hard ladder, and to detect an imaging area of ​​the fixed rope in the sequential conversion image as a second detection area based on the brightness imaging characteristics of the fixed rope;

[0029] a second analysis device, connected to the first analysis device, for intelligently identifying the physical distance between the insulating rigid ladder and the fixed pull rope based on the coordinate values ​​of each pixel point in the first detection area, the coordinate values ​​of each pixel point in the second detection area, the curve length of the edge of the first detection area, the curve length of the edge of the second detection area, the depth of field value of each pixel point in the first detection area, and the depth of field value of each pixel point in the second detection area by referencing the artificial intelligence model;

[0030] An instant alarm device, connected to the second analysis device, is used to execute an alarm process that the fixed pull rope is too far away from the insulating hard ladder when the physical distance between the intelligently identified insulating hard ladder and the fixed pull rope is greater than a set distance threshold;

[0031] Wherein, the referenced artificial intelligence model is based on the coordinate values ​​of each pixel point in the first detection area, the coordinate values ​​of each pixel point in the second detection area, the curve length of the edge of the first detection area, the curve length of the edge of the second detection area, the depth of field value of each pixel point in the first detection area, and the depth of field value of each pixel point in the second detection area to intelligently identify the physical distance between the insulated hard ladder and the fixed pull rope, including: the artificial intelligence model is a feedforward neural network after executing a set number of trainings, and the value of the set number is proportional to the product of the length and width of the sequential transformation image;

[0032] Wherein, the instant alarm device is also used to temporarily suspend the alarm processing of the fixed pull rope being too far away from the insulating hard ladder when the physical distance between the intelligently identified insulating hard ladder and the fixed pull rope is less than or equal to the set distance threshold;

[0033] The visualization imager is further configured to suspend the visualization imaging operation on the routing scene of the power supply network line when receiving the second analysis command.

[0034] Figure 2 It is a schematic diagram of the internal structure of a fixed pull rope detection system for an insulated rigid ladder equipped with a power supply network line according to a second embodiment of the present invention.

[0035] Compared to Figure 1 According to the second embodiment of the present invention, the fixed pull rope detection system for the insulated rigid ladder equipped with a power supply network line may also include:

[0036] The width sensor is connected to the content enhancement device, the directional blur device, the real-time filtering device, the first analysis device and the second analysis device, respectively, and is used to measure the current real-time width values ​​of the content enhancement device, the directional blur device, the real-time filtering device, the first analysis device and the second analysis device respectively;

[0037] The width sensor is connected to the content enhancement device, the directional blurring device, the real-time filtering device, the first analysis device and the second analysis device respectively, and is used to measure the current real-time width values ​​of the content enhancement device, the directional blurring device, the real-time filtering device, the first analysis device and the second analysis device respectively. The width sensor comprises a plurality of width measurement units, which are used to be connected to the content enhancement device, the directional blurring device, the real-time filtering device, the first analysis device and the second analysis device respectively, so as to complete the measurement of the current real-time width values ​​of the content enhancement device, the directional blurring device, the real-time filtering device, the first analysis device and the second analysis device respectively;

[0038] Wherein, the width sensor device includes a plurality of width measurement units, which are used to be connected to the content enhancement device, the directional blurring device, the real-time filtering device, the first analysis device and the second analysis device respectively, so as to complete the measurement of the current real-time width values ​​of the content enhancement device, the directional blurring device, the real-time filtering device, the first analysis device and the second analysis device respectively, including: the plurality of width measurement units are a plurality of width sensors, which are used to be connected to the content enhancement device, the directional blurring device, the real-time filtering device, the first analysis device and the second analysis device respectively, so as to complete the measurement of the current real-time width values ​​of the content enhancement device, the directional blurring device, the real-time filtering device, the first analysis device and the second analysis device respectively;

[0039] The plurality of width measurement units are a plurality of width sensors, which are respectively connected to the content enhancement device, the directional blur device, the real-time filtering device, the first analysis device and the second analysis device to respectively measure the current real-time width values ​​of the content enhancement device, the directional blur device, the real-time filtering device, the first analysis device and the second analysis device, including: the plurality of width sensors have the same structure;

[0040] Among them, the multiple width measurement units are multiple width sensors, which are used to respectively connect with the content enhancement device, the directional blurring device, the real-time filtering device, the first analysis device and the second analysis device to complete the respective measurements of the current real-time width values ​​of the content enhancement device, the directional blurring device, the real-time filtering device, the first analysis device and the second analysis device, and also include: the multiple width sensors have the same width measurement upper limit value and width measurement lower limit value.

[0041] Figure 3 It is a schematic diagram of the internal structure of a fixed pull rope detection system for an insulated rigid ladder equipped with a power supply network line according to a third embodiment of the present invention.

[0042] Compared to Figure 1According to the third embodiment of the present invention, the fixed pull rope detection system for an insulated rigid ladder equipped with a power supply network line may further include:

[0043] The width display mechanism is connected to the multiple width measurement units of the content enhancement device, the directional blurring device, the real-time filtering device, the first analysis device, and the second analysis device, respectively, and is used to synchronously display the current real-time width values ​​of the content enhancement device, the directional blurring device, the real-time filtering device, the first analysis device, and the second analysis device respectively;

[0044] Wherein, the width display mechanism is respectively connected to the multiple width measurement units of the content enhancement device, the directional blurring device, the real-time filtering device, the first analysis device and the second analysis device, and is used to synchronously display the current real-time width values ​​of the content enhancement device, the directional blurring device, the real-time filtering device, the first analysis device and the second analysis device respectively, including: the width display mechanism is an LED display array;

[0045] Among them, the width display mechanism is respectively connected to multiple width measurement units of the content enhancement device, the directional blurring device, the real-time filtering device, the first analysis device and the second analysis device, and is used to synchronously display the current real-time width values ​​of the content enhancement device, the directional blurring device, the real-time filtering device, the first analysis device and the second analysis device, including: the width display mechanism is an LCD display array.

[0046] In addition, in the fixed pull rope detection system of the insulated rigid ladder equipped with a power supply network line, the artificial intelligence model is referenced to intelligently identify the physical distance between the insulated rigid ladder and the fixed pull rope based on the coordinate values ​​of each pixel point in the first detection area, the coordinate values ​​of each pixel point in the second detection area, the curve length of the edge of the first detection area, the curve length of the edge of the second detection area, the depth of field value of each pixel point in the first detection area, and the depth of field value of each pixel point in the second detection area, including: using a numerical simulation mode to realize the simulation and testing of the data processing process of referencing the artificial intelligence model to intelligently identify the physical distance between the insulated rigid ladder and the fixed pull rope based on the coordinate values ​​of each pixel point in the first detection area, the coordinate values ​​of each pixel point in the second detection area, the curve length of the edge of the first detection area, the curve length of the edge of the second detection area, the depth of field value of each pixel point in the first detection area, and the depth of field value of each pixel point in the second detection area.

[0047] In summary, many benefits resulting from utilizing the principles of the present invention have been described. One or more embodiments of the present invention have been described for purposes of explanation and illustration. This is not intended to be an exhaustive description of the present invention or to limit the present invention to the exact form disclosed. Obvious modifications and changes may be made in light of the above teachings. One or more embodiments are selected and described in order to better explain the principles and applications of the present invention, thereby enabling one of ordinary skill in the art to better apply the present invention in different embodiments and in a variety of modified forms suitable for particular applications. The claims appended hereto define the scope of the present invention.

Claims

1. A fixed pull rope detection system for an insulated rigid ladder equipped with a power supply network line, characterized in that: The system comprises: A state analysis mechanism connected to an insulating hard ladder for a power supply network line, for issuing a first analysis command when the insulating hard ladder is in an extended state, and for issuing a second analysis command when the insulating hard ladder is not in an extended state; A visualization imager connected to the state analysis mechanism, and configured to perform a visualization imaging operation on the wiring scene of the power supply network line upon receiving the first analysis command, so as to obtain and output a corresponding wiring scene image; A sequential conversion mechanism, connected to the visualization imager and comprising a content enhancement device, a directional blurring device and a real-time filtering device, for sequentially performing image content enhancement processing based on logarithmic transformation, directional blurring processing and Gaussian high-pass filtering processing on the received wiring scene image, so as to obtain and output a corresponding sequential conversion image; A first analysis device is connected to the sequential conversion mechanism, and is used to detect an imaging area of ​​the insulating hard ladder in the sequential conversion image as a first detection area based on the brightness imaging characteristics of the insulating hard ladder, and to detect an imaging area of ​​the fixed rope in the sequential conversion image as a second detection area based on the brightness imaging characteristics of the fixed rope; a second analysis device, connected to the first analysis device, for intelligently identifying the physical distance between the insulating rigid ladder and the fixed pull rope based on the coordinate values ​​of each pixel point in the first detection area, the coordinate values ​​of each pixel point in the second detection area, the curve length of the edge of the first detection area, the curve length of the edge of the second detection area, the depth of field value of each pixel point in the first detection area, and the depth of field value of each pixel point in the second detection area by referencing the artificial intelligence model; An instant alarm device, connected to the second analysis device, is used to execute an alarm process that the fixed pull rope is too far away from the insulating hard ladder when the physical distance between the intelligently identified insulating hard ladder and the fixed pull rope is greater than a set distance threshold; Wherein, the referenced artificial intelligence model is based on the coordinate values ​​of each pixel point in the first detection area, the coordinate values ​​of each pixel point in the second detection area, the curve length of the edge of the first detection area, the curve length of the edge of the second detection area, the depth of field value of each pixel point in the first detection area, and the depth of field value of each pixel point in the second detection area to intelligently identify the physical distance between the insulated hard ladder and the fixed pull rope, including: the artificial intelligence model is a feedforward neural network after executing a set number of trainings, and the value of the set number is proportional to the product of the length and width of the sequential transformation image; The instant alarm device is also used to temporarily suspend the alarm processing of the fixed pull rope being too far away from the insulating hard ladder when the physical distance between the intelligently identified insulating hard ladder and the fixed pull rope is less than or equal to the set distance threshold; The visual imager is further configured to suspend the visual imaging operation on the wiring scene of the power supply network line when receiving the second analysis command; The width sensor is connected to the content enhancement device, the directional blur device, the real-time filtering device, the first analysis device and the second analysis device, respectively, and is used to measure the current real-time width values ​​of the content enhancement device, the directional blur device, the real-time filtering device, the first analysis device and the second analysis device respectively; Among them, the width sensor device is respectively connected to the content enhancement device, the directional blurring device, the real-time filtering device, the first analyzing device and the second analyzing device, and is used to respectively measure the current real-time width values ​​of the content enhancement device, the directional blurring device, the real-time filtering device, the first analyzing device and the second analyzing device. The width sensor device includes multiple width measurement units, which are respectively connected to the content enhancement device, the directional blurring device, the real-time filtering device, the first analyzing device and the second analyzing device to complete the respective measurements of the current real-time width values ​​of the content enhancement device, the directional blurring device, the real-time filtering device, the first analyzing device and the second analyzing device.

2. The fixed pull rope detection system of the insulating rigid ladder equipped with a power supply network line as claimed in claim 1, characterized in that: The width sensor device includes multiple width measurement units, which are used to be connected to the content enhancement device, the directional blurring device, the real-time filtering device, the first analyzing device and the second analyzing device respectively, so as to complete the measurement of the current real-time width values ​​of the content enhancement device, the directional blurring device, the real-time filtering device, the first analyzing device and the second analyzing device respectively. The multiple width measurement units are multiple width sensors, which are used to be connected to the content enhancement device, the directional blurring device, the real-time filtering device, the first analyzing device and the second analyzing device respectively, so as to complete the measurement of the current real-time width values ​​of the content enhancement device, the directional blurring device, the real-time filtering device, the first analyzing device and the second analyzing device respectively.

3. The fixed pull rope detection system of the insulating rigid ladder equipped with the power supply network line as claimed in claim 2 is characterized by: The multiple width measurement units are multiple width sensors, which are used to be connected to the content enhancement device, the directional blurring device, the real-time filtering device, the first analyzing device and the second analyzing device respectively, so as to complete the measurement of the current real-time width values ​​of the content enhancement device, the directional blurring device, the real-time filtering device, the first analyzing device and the second analyzing device respectively, including: the structures of the multiple width sensors are the same.

4. The fixed pull rope detection system for an insulated rigid ladder equipped with a power supply network line as claimed in claim 3, characterized in that: The multiple width measurement units are multiple width sensors, which are used to connect to the content enhancement device, the directional blurring device, the real-time filtering device, the first analyzing device and the second analyzing device respectively to complete the measurement of the current real-time width values ​​of the content enhancement device, the directional blurring device, the real-time filtering device, the first analyzing device and the second analyzing device respectively, and also include: the multiple width sensors have the same width measurement upper limit value and width measurement lower limit value.

5. The fixed pull rope detection system for an insulated rigid ladder equipped with a power supply network line as described in any one of claims 1 to 4, characterized in that: The system further comprises: The width display mechanism is respectively connected to multiple width measurement units of the content enhancement device, the directional blurring device, the real-time filtering device, the first analysis device and the second analysis device, and is used to synchronously display the current real-time width values ​​of the content enhancement device, the directional blurring device, the real-time filtering device, the first analysis device and the second analysis device.

6. The fixed pull rope detection system of the insulating rigid ladder equipped with a power supply network line as claimed in claim 5, characterized in that: The width display mechanism is respectively connected to multiple width measurement units of the content enhancement device, the directional blurring device, the real-time filtering device, the first analysis device and the second analysis device, and is used to synchronously display the current real-time width values ​​of the content enhancement device, the directional blurring device, the real-time filtering device, the first analysis device and the second analysis device. The width display mechanism is an LED display array.

7. The fixed pull rope detection system of the insulating rigid ladder equipped with a power supply network line as claimed in claim 5, characterized in that: The width display mechanism is respectively connected to multiple width measurement units of the content enhancement device, the directional blurring device, the real-time filtering device, the first analysis device and the second analysis device, and is used to synchronously display the current real-time width values ​​of the content enhancement device, the directional blurring device, the real-time filtering device, the first analysis device and the second analysis device. The width display mechanism is an LCD display array.

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