Target base station feeder working scene analysis system

Abstract

The application relates to a target base station feeder working scene analysis system, which comprises content inputting devices for collecting visual data of the working environment of a feeder when the target base station is in a running state to obtain working environment images; state identifying devices for judging that the feeder is not deformed when the maximum value in the visual edge length corresponding to the feeder and the graphic edge length corresponding to the standard geometric figure of the feeder is divided by the minimum value in the visual edge length corresponding to the feeder and the graphic edge length corresponding to the standard geometric figure of the feeder, otherwise, judging that the feeder is in a deformed state. The target base station feeder working scene analysis system is compact in design and has certain pertinence. Since the working environment of the feeder can be collected on the basis of visual data, the deformed state of the feeder can be detected based on the visual information screened according to various pertinences, so as to provide key information for the maintenance of the whole performance of the target base station.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of base station facilities, and particularly relates to a target base station feeder working scene analysis system. BACKGROUND

[0002] The base station is a form of radio station, which is a radio transmitting and receiving station that transmits and receives information between mobile telephone terminals and mobile communication switching centers in a certain radio coverage area. In simple terms, the base station is used to ensure that the mobile phone can maintain signal at any time and anywhere during the movement, and can guarantee the demand of conversation and information transmission. The equipment with mobile signs on the high iron tower with sharp top that we see in daily life is the base station. The base station transmits and receives messages through the antenna.

[0003] The base station feeder is a wire connecting the antenna and the output (or input) end of the base station, also known as a transmission line. Its main task is to effectively transmit signal energy. The feeder plays a crucial role in the communication system, whether in cable television systems, power distribution networks, or between base stations and antennas, they are responsible for transmitting signals or electrical energy to the final user or load point. As can be seen, the shape state of the feeder directly determines the working performance of the entire base station, however, the existing technology lacks a special high-precision shape detection mechanism for the targeted feeder, which makes it difficult to effectively determine whether the feeder affects the working performance of the entire base station. SUMMARY

[0004] In order to solve the technical problems in the related art, the application provides a target base station feeder working scene analysis system, which pre-stores a hue component numerical interval, a brightness component numerical interval and a saturation component numerical interval in a YUV space corresponding to a feeder, regards pixel points in the current filtered image, whose hue component numerical value, brightness component numerical value and saturation component numerical value fall in the hue component numerical interval, the brightness component numerical interval and the saturation component numerical interval in the YUV space corresponding to the feeder, as target pixel points, combines each target pixel point in the current filtered image to obtain target pixel points at multiple edge positions and regards the target pixel points as multiple reference pixel points, judges that the feeder is not deformed when a maximum value of a visual edge length corresponding to the feeder and a graphic edge length corresponding to a standard geometric graph of the feeder is divided by a minimum value of the visual edge length corresponding to the feeder and the graphic edge length corresponding to the standard geometric graph of the feeder, otherwise, judges that the feeder is in a deformed state, wherein the visual edge length corresponding to the feeder is the number of the multiple reference pixel points, the graphic edge length corresponding to the standard geometric graph of the feeder is the number of each pixel point on a graphic edge corresponding to the standard geometric graph of the feeder, and the working environment image obtained by collecting visual data of a working environment of the feeder of the target base station is continuously subjected to a pulse noise elimination operation, a contrast enhancement operation and a geometric mean filtering process to obtain a current filtered image with higher quality than the working environment image, thereby providing more reliable reference data for subsequent targeted detection of the deformed state of the feeder.

[0005] According to the application, a target base station feeder working scene analysis system is provided, which comprises:

[0006] A content input device is arranged opposite to a feeder of a target base station, and is used to collect visual data of a working environment of the feeder when the target base station is in a running state, so as to obtain and output a corresponding working environment image, wherein the feeder is a transmission line between the target base station and a base station antenna;

[0007] A noise elimination device is arranged in a control box of the target base station and is connected with the content input device, and is used to perform a pulse noise elimination operation on a received working environment image, so as to obtain and output a corresponding noise elimination image;

[0008] An enhancement processing device is connected with the noise elimination device, and is used to perform a contrast enhancement operation on a received noise elimination image, so as to obtain and output a corresponding enhancement processing image;

[0009] A filtering execution device is connected with the enhancement processing device, and is used to perform a geometric mean filtering process on a received enhancement processing image, so as to obtain and output a corresponding current filtered image;

[0010] The information analysis device is arranged in a control box of a target base station and connected with the filter execution device, and a dynamic storage unit is built in to store the hue component value interval, the brightness component value interval and the saturation component value interval in the YUV space corresponding to the feeder, and the pixel points in the current filtered image, whose hue component value, brightness component value and saturation component value respectively fall in the hue component value interval, the brightness component value interval and the saturation component value interval in the YUV space corresponding to the feeder, are taken as target pixel points;

[0011] The content judging device is connected with the information analysis device, and is used to combine each target pixel point in the current filtered image to obtain target pixel points at multiple edge positions and output the target pixel points as multiple reference pixel points.

[0012] The state identifying device is connected with the content judging device, and is used to judge that the feeder is not deformed when the maximum value of the visual edge length corresponding to the feeder and the graphic edge length corresponding to the standard geometric figure of the feeder is divisible by the minimum value of the visual edge length corresponding to the feeder and the graphic edge length corresponding to the standard geometric figure of the feeder, otherwise, the feeder is in a deformed state, wherein the visual edge length corresponding to the feeder is the number of the multiple reference pixel points, and the graphic edge length corresponding to the standard geometric figure of the feeder is the number of each pixel point on the graphic edge corresponding to the standard geometric figure of the feeder.

[0013] The state identifying device is connected with the content judging device, and is used to judge that the feeder is not deformed when the maximum value of the visual edge length corresponding to the feeder and the graphic edge length corresponding to the standard geometric figure of the feeder is divisible by the minimum value of the visual edge length corresponding to the feeder and the graphic edge length corresponding to the standard geometric figure of the feeder, otherwise, the feeder is in a deformed state, wherein the visual edge length corresponding to the feeder is the number of the multiple reference pixel points, and the graphic edge length corresponding to the standard geometric figure of the feeder is the number of each pixel point on the graphic edge corresponding to the standard geometric figure of the feeder.

[0014] Therefore, the present application has the following three outstanding technical effects:

[0015] The first place: pre-storing the hue component numerical interval, the brightness component numerical interval and the saturation component numerical interval in the YUV space corresponding to the feeder, falling the hue component numerical value, the brightness component numerical value and the saturation component numerical value in the received current filtering image into the pixel points in the hue component numerical interval, the brightness component numerical interval and the saturation component numerical interval in the YUV space corresponding to the feeder as target pixel points, and combining each target pixel point in the current filtering image to obtain the target pixel points of multiple edge positions and as multiple reference pixel points;

[0016] The second place: when the maximum value of the visual edge length corresponding to the feeder and the graphic edge length corresponding to the standard geometric graph of the feeder is divided by the minimum value of the visual edge length corresponding to the feeder and the graphic edge length corresponding to the standard geometric graph of the feeder, it is judged that the feeder is not deformed, otherwise, it is judged that the feeder is in a deformed state, wherein the visual edge length corresponding to the feeder is the number of the multiple reference pixel points, and the graphic edge length corresponding to the standard geometric graph of the feeder is the number of each pixel point on the graphic edge corresponding to the standard geometric graph of the feeder.

[0017] The third place: continuously performing the pulse noise elimination operation, the contrast enhancement operation and the geometric mean filtering processing on the working environment image obtained by collecting the visual data of the working environment of the feeder of the target base station to obtain a current filtering image with higher quality compared with the working environment image, so as to provide more reliable reference data for subsequent targeted detection of the deformed state of the feeder.

[0018] The target base station feeder working scene analysis system of the present application has compact design and certain targeting. Based on the collection of visual data of the working environment of the feeder, the targeted detection of the deformed state of the feeder is realized based on the visual information selected in all aspects, so as to provide key information for the maintenance of the overall performance of the target base station. BRIEF DESCRIPTION OF DRAWINGS

[0019] The embodiments of the present application will be described below with reference to the accompanying drawings, in which:

[0020] Figure 1 The structure block diagram of the target base station feeder working scene analysis system according to the embodiment one of the present application is shown.

[0021] Figure 2 The structure block diagram of the target base station feeder working scene analysis system according to the embodiment two of the present application is shown.

[0022] Figure 3 The structure block diagram of the target base station feeder working scene analysis system according to the embodiment three of the present application is shown. DETAILED DESCRIPTION

[0023] The embodiments of the target base station feeder working scene analysis system of the present application will be described in detail below with reference to the accompanying drawings.

[0024] Figure 1 The structure block diagram of the target base station feeder working scene analysis system according to the first embodiment of the present application is shown in the figure, which comprises:

[0025] The content input device is arranged opposite to the feeder of the target base station, and is used to collect visual data of the working environment of the feeder when the target base station is in the running state, so as to obtain and output the corresponding working environment image, and the feeder is the transmission line between the target base station and the base station antenna.

[0026] For example, the content input device arranged opposite to the feeder of the target base station, and is used to collect visual data of the working environment of the feeder when the target base station is in the running state, so as to obtain and output the corresponding working environment image, and the feeder is the transmission line between the target base station and the base station antenna comprises: the content input device is internally provided with a collection execution component and a state detection component.

[0027] The noise elimination device is arranged in the control box of the target base station and connected with the content input device, and is used to perform pulse noise elimination operation on the received working environment image, so as to obtain and output the corresponding noise elimination image.

[0028] The enhancement processing device is connected with the noise elimination device, and is used to perform contrast enhancement operation on the received noise elimination image, so as to obtain and output the corresponding enhancement processing image.

[0029] The filter execution device is connected with the enhancement processing device, and is used to perform geometric mean filtering processing on the received enhancement processing image, so as to obtain and output the corresponding current filtering image.

[0030] The information analysis device is arranged in the control box of the target base station and connected with the filter execution device, and is internally provided with a dynamic storage unit to store the hue component numerical value interval, the brightness component numerical value interval and the saturation component numerical value interval in the YUV space corresponding to the feeder, and the pixel points in the received current filtering image, whose hue component numerical value, brightness component numerical value and saturation component numerical value fall within the hue component numerical value interval, the brightness component numerical value interval and the saturation component numerical value interval in the YUV space corresponding to the feeder, are taken as target pixel points.

[0031] The content judgment device is connected with the information analysis device, and is used to combine each target pixel point in the current filtering image to obtain the target pixel points in a plurality of edge positions and output them as a plurality of reference pixel points.

[0032] The state identification device is connected with the content judging device, and is used for judging that the feeder is not deformed when the maximum value of the visual edge length corresponding to the feeder and the graphic edge length corresponding to the standard geometric figure of the feeder is divisible by the minimum value of the visual edge length corresponding to the feeder and the graphic edge length corresponding to the standard geometric figure of the feeder, otherwise, judging that the feeder is in a deformed state, wherein the visual edge length corresponding to the feeder is the number of the plurality of reference pixel points, and the graphic edge length corresponding to the standard geometric figure of the feeder is the number of each pixel point on the graphic edge corresponding to the standard geometric figure of the feeder.

[0033] The maximum value of the visual edge length corresponding to the feeder and the graphic edge length corresponding to the standard geometric figure of the feeder is divisible by the minimum value of the visual edge length corresponding to the feeder and the graphic edge length corresponding to the standard geometric figure of the feeder, otherwise, judging that the feeder is in a deformed state, wherein the visual edge length corresponding to the feeder is the number of the plurality of reference pixel points, and the graphic edge length corresponding to the standard geometric figure of the feeder is the number of each pixel point on the graphic edge corresponding to the standard geometric figure of the feeder.

[0034] The maximum value of the visual edge length corresponding to the feeder and the graphic edge length corresponding to the standard geometric figure of the feeder is divisible by the minimum value of the visual edge length corresponding to the feeder and the graphic edge length corresponding to the standard geometric figure of the feeder, otherwise, judging that the feeder is in a deformed state, wherein the visual edge length corresponding to the feeder is the number of the plurality of reference pixel points, and the graphic edge length corresponding to the standard geometric figure of the feeder is the number of each pixel point on the graphic edge corresponding to the standard geometric figure of the feeder.

[0035] Figure 2 The structure block diagram of the target base station feeder working scene analysis system according to the embodiment two of the present application is shown.

[0036] Compared with Figure 1 , Figure 2 The target base station feeder working scene analysis system in the embodiment two of the present application can further include:

[0037] The pressure detection mechanism includes a plurality of pressure detection units, and is used for detecting the current surface pressure values of the noise elimination device, the enhancement processing device, the filter execution device and the information analysis device respectively.

[0038] The pressure detection mechanism, which comprises a plurality of pressure detection units for detecting the current surface pressure values of the noise cancellation device, the enhancement processing device, the filter execution device and the information analysis device respectively, further comprises that the plurality of pressure detection units adopted by the noise cancellation device, the enhancement processing device, the filter execution device and the information analysis device respectively are a plurality of contact pressure sensors.

[0039] The pressure detection mechanism, which comprises a plurality of pressure detection units for detecting the current surface pressure values of the noise cancellation device, the enhancement processing device, the filter execution device and the information analysis device respectively, further comprises that the internal structures of the plurality of contact pressure sensors adopted by the noise cancellation device, the enhancement processing device, the filter execution device and the information analysis device respectively are the same.

[0040] The pressure detection mechanism, which comprises a plurality of pressure detection units for detecting the current surface pressure values of the noise cancellation device, the enhancement processing device, the filter execution device and the information analysis device respectively, further comprises that the plurality of non-contact pressure sensors adopted by the noise cancellation device, the enhancement processing device, the filter execution device and the information analysis device respectively have the same upper limit threshold and lower limit threshold of pressure measurement.

[0041] The pressure detection mechanism, which comprises a plurality of pressure detection units for detecting the current surface pressure values of the noise cancellation device, the enhancement processing device, the filter execution device and the information analysis device respectively, further comprises that the plurality of contact pressure sensors adopted by the noise cancellation device, the enhancement processing device, the filter execution device and the information analysis device respectively perform the detection of the corresponding current surface pressure values based on the difference between the air pressure and the internal pressure of the detected device.

[0042] Figure 3 The structure block diagram of the target base station feeder working scene analysis system according to the third embodiment of the present application is shown.

[0043] Compared with Figure 1 , Figure 3 The target base station feeder working scene analysis system in the third embodiment of the present application can further comprise:

[0044] The real-time early warning mechanism is connected with the plurality of contact pressure sensors adopted by the noise cancellation device, the enhancement processing device, the filter execution device and the information analysis device respectively, and is used for performing the corresponding pressure early warning operation based on the pressure measurement results of the plurality of contact pressure sensors adopted by the noise cancellation device, the enhancement processing device, the filter execution device and the information analysis device respectively.

[0045] The real-time warning mechanism is connected with the plurality of contact pressure sensors respectively adopted by the noise cancellation device, the enhancement processing device, the filter execution device and the information analysis device, and is configured to perform corresponding pressure warning operations based on pressure measurement results of the plurality of contact pressure sensors respectively adopted by the noise cancellation device, the enhancement processing device, the filter execution device and the information analysis device, and the real-time warning mechanism comprises a timing analysis unit and a warning operation unit.

[0046] The real-time warning mechanism is connected with the plurality of contact pressure sensors respectively adopted by the noise cancellation device, the enhancement processing device, the filter execution device and the information analysis device, and is configured to perform corresponding pressure warning operations based on pressure measurement results of the plurality of contact pressure sensors respectively adopted by the noise cancellation device, the enhancement processing device, the filter execution device and the information analysis device, and the real-time warning mechanism comprises a timing analysis unit and a warning operation unit.

[0047] In addition, in the target base station feeder working scene analysis system, the pixel points in the received current filter image, whose hue component value, brightness component value and saturation component value fall within the hue component value interval, the brightness component value interval and the saturation component value interval in the YUV space corresponding to the feeder, are taken as target pixel points, and the hue component value interval in the YUV space corresponding to the feeder is defined by a hue component value upper threshold and a hue component value lower threshold, the brightness component value interval in the YUV space corresponding to the feeder is defined by a brightness component value upper threshold and a brightness component value lower threshold, and the saturation component value interval in the YUV space corresponding to the feeder is defined by a saturation component value upper threshold and a saturation component value lower threshold.

[0048] While examples of embodiments of the application have been shown and described, it is to be understood that various other modifications can be made, and equivalents can be substituted, without departing from the true scope of the application. In addition, many modifications can be made to adapt a particular situation to the teachings of the present application without departing from the central inventive concept described herein. Therefore, the application is not to be limited to the particular embodiments disclosed, but can be practiced with modification and alterations by one having ordinary skill in the art without departing from the scope of the application described in the following claims.

Claims

1. A target base station feeder scenario analysis system, characterized in that, The system comprises: a content entry device arranged opposite a feeder of a target base station and configured to acquire visual data of an operating environment of the feeder when the target base station is in operation to obtain and output a corresponding operating environment image, the feeder being a transmission line between the target base station and a base station antenna; a noise elimination device arranged in a control box of the target base station and connected to the content entry device, and configured to perform impulse noise elimination on the received operating environment image to obtain and output a corresponding noise elimination image; an enhancement processing device connected to the noise elimination device and configured to perform contrast enhancement on the received noise elimination image to obtain and output a corresponding enhancement processing image; a filtering execution device connected to the enhancement processing device and configured to perform geometric mean filtering on the received enhancement processing image to obtain and output a corresponding current filtering image; an information analysis device arranged in the control box of the target base station and connected to the filtering execution device, and comprising a dynamic storage unit configured to store hue component numerical value intervals, brightness component numerical value intervals and saturation component numerical value intervals in a YUV space corresponding to the feeder, and to regard, as target pixel points, pixel points in the received current filtering image whose hue component numerical value, brightness component numerical value and saturation component numerical value fall within the hue component numerical value intervals, brightness component numerical value intervals and saturation component numerical value intervals in the YUV space corresponding to the feeder; wherein the hue component numerical value intervals in the YUV space corresponding to the feeder are defined by a hue component numerical value upper threshold and a hue component numerical value lower threshold, the brightness component numerical value intervals in the YUV space corresponding to the feeder are defined by a brightness component numerical value upper threshold and a brightness component numerical value lower threshold, and the saturation component numerical value intervals in the YUV space corresponding to the feeder are defined by a saturation component numerical value upper threshold and a saturation component numerical value lower threshold; a content judgment device connected to the information analysis device and configured to combine each target pixel point in the current filtering image to obtain target pixel points at a plurality of edge positions and output the target pixel points as a plurality of reference pixel points; a state identification device connected to the content judgment device and configured to determine that the feeder is not deformed when a maximum value of a visual edge length corresponding to the feeder and a graphic edge length corresponding to a standard geometric figure of the feeder is divisible by a minimum value of the visual edge length corresponding to the feeder and the graphic edge length corresponding to the standard geometric figure of the feeder, and otherwise determine that the feeder is in a deformed state, wherein the visual edge length corresponding to the feeder is the number of the reference pixel points, and the graphic edge length corresponding to the standard geometric figure of the feeder is the number of pixel points on a graphic edge corresponding to the standard geometric figure of the feeder. If the maximum of the visual edge length corresponding to the feeder and the graphic edge length corresponding to the standard geometric figure of the feeder is divisible by the minimum of the visual edge length corresponding to the feeder and the graphic edge length corresponding to the standard geometric figure of the feeder, it is determined that the feeder is not deformed, otherwise, it is determined that the feeder is in a deformed state, wherein the visual edge length corresponding to the feeder is the number of multiple reference pixels, and the graphic edge length corresponding to the standard geometric figure of the feeder is the number of each pixel on the graphic edge corresponding to the standard geometric figure of the feeder. The received current filtering image tone component value, brightness component value and saturation component value are respectively included in the pixel points in the tone component value interval, brightness component value interval and saturation component value interval in the YUV space corresponding to the feeder as target pixel points, including: the value of any component value of the tone component value, brightness component value and saturation component value of the pixel point in the current filtering image is between 0-255.

2. The target base station feeder scenario analysis system of claim 1, wherein, The system further comprises: The pressure detection mechanism comprises a plurality of pressure detection units for detecting the current surface pressure values of the noise elimination device, the enhancement processing device, the filtering execution device and the information analysis device respectively. The pressure detection mechanism comprises a plurality of pressure detection units for detecting the current surface pressure values of the noise elimination device, the enhancement processing device, the filtering execution device and the information analysis device respectively.

3. The target base station feeder working scene analysis system of claim 2, wherein: The pressure detection mechanism comprises a plurality of pressure detection units for detecting the current surface pressure values of the noise elimination device, the enhancement processing device, the filtering execution device and the information analysis device respectively.

4. The target base station feeder working scene analysis system of claim 2, wherein: The pressure detection mechanism comprises a plurality of pressure detection units for detecting the current surface pressure values of the noise cancellation device, the enhancement processing device, the filter execution device and the information analysis device respectively, and further comprises: the plurality of non-contact pressure sensors respectively adopted by the noise cancellation device, the enhancement processing device, the filter execution device and the information analysis device have the same upper limit threshold and lower limit threshold of pressure measurement. 5.The target base station feeder working scenario analysis system of claim 4, wherein: The pressure detection mechanism comprises a plurality of pressure detection units for detecting the current surface pressure values of the noise cancellation device, the enhancement processing device, the filter execution device and the information analysis device respectively, and further comprises: the plurality of non-contact pressure sensors respectively adopted by the noise cancellation device, the enhancement processing device, the filter execution device and the information analysis device have the same upper limit threshold and lower limit threshold of pressure measurement.

6. The target base station feeder scenario analysis system of claim 1, wherein, The system further comprises: The real-time warning mechanism is connected with the plurality of contact pressure sensors respectively adopted by the noise cancellation device, the enhancement processing device, the filter execution device and the information analysis device, and is configured to perform corresponding pressure warning operations based on the pressure measurement results of the plurality of contact pressure sensors respectively adopted by the noise cancellation device, the enhancement processing device, the filter execution device and the information analysis device. 7.The target base station feeder working scenario analysis system of claim 6, wherein: The real-time warning mechanism is connected with the plurality of contact pressure sensors respectively adopted by the noise cancellation device, the enhancement processing device, the filter execution device and the information analysis device, and is configured to perform corresponding pressure warning operations based on the pressure measurement results of the plurality of contact pressure sensors respectively adopted by the noise cancellation device, the enhancement processing device, the filter execution device and the information analysis device, and the real-time warning mechanism comprises a timing analysis unit and a warning operation unit. 8.The target base station feeder working scenario analysis system of claim 7, wherein: The real-time warning mechanism is connected with the plurality of contact pressure sensors respectively adopted by the noise cancellation device, the enhancement processing device, the filter execution device and the information analysis device, and is configured to perform corresponding pressure warning operations based on the pressure measurement results of the plurality of contact pressure sensors respectively adopted by the noise cancellation device, the enhancement processing device, the filter execution device and the information analysis device, and the timing analysis unit and the warning operation unit are connected in the real-time warning mechanism.

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