Intelligent water meter remote data dynamic processing system

By collecting and processing images in the working environment of the smart water meter and dynamically adjusting the inter-frame encoding parameters based on the number of noise types, the problem of poor inter-frame encoding speed and effect during the reading process of smart water meter is solved, and image processing with higher quality and efficiency is achieved.

CN119762390APending Publication Date: 2025-04-04GUANGZHOU ZHAOJI WATER METER INSTR MFG FACTORY
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Patent Information

Application Number
CN202411912155.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-24
Publication Date
2025-04-04

AI Technical Summary

Technical Problem

During the meter reading process of smart water meters, the search range of inter-frame encoding is inconsistent, resulting in poor image processing quality and efficiency.

Method used

By performing top-shot image signal acquisition on the working environment of the smart water meter, ambient top-shot images are acquired, and a higher quality step-scaling image is generated through linear grayscale transformation, edge sharpening and image content frequency domain enhancement processing. Based on the number of noise types in the image block, the number of preamble images for inter-encoded inter-frames is dynamically selected to optimize the inter-frame encoding process.

Benefits of technology

It improves the accurate positioning and resolution capabilities of intelligent water meter surface image processing, enhances the speed and effect of inter-frame encoding, and solves the problems of image processing quality and inefficiency.

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Abstract

The invention relates to an intelligent water meter remote data dynamic processing system which comprises a mode analysis device and a data processing device. The interframe coding module is used for determining the number of preorder images selected when interframe coding frames are searched in front of the environment high-angle shot image in a video sequence where the environment high-angle shot image is located when the whole environment high-angle shot image is subjected to interframe coding on the basis of the number of noise types existing in the surface image blocks; and the coding execution device is used for executing inter-frame coding on the whole environment high-angle shot image by adopting the determined number of the preorder images. According to the invention, the high-angle shooting type image signal can be executed on the working environment of the intelligent water meter so as to collect the environment high-angle shooting image; the method comprises the following steps: determining the number of preorder images selected when an inter-frame coding frame is searched in front of an environment high-angle image in a video sequence in which the environment high-angle image is located when inter-frame coding is performed on the whole environment high-angle image based on the number of noise types existing in a surface image block occupied by the surface of the intelligent water meter; therefore, the inter-frame coding speed and the inter-frame coding effect are both considered.
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Description

Technical Field

[0001] The present invention relates to the field of intelligent water meters, and in particular to an intelligent water meter remote data dynamic processing system. Background Art

[0002] Generally speaking, the following points should be noted when using smart water meters: 1. Choose the correct caliber of the water meter; 2. Install horizontally, with the surface facing upwards, and the direction of the arrow on the case should be the same as the direction of the water flow. The installation location should be protected from exposure to sunlight, flooding, freezing and pollution, and should be convenient for disassembly and meter reading. For newly installed pipes, be sure to flush out sand, gravel, hemp and other debris in the pipes before installing the water meter to avoid water meter malfunction; 3. Valves should be installed upstream and downstream of the water meter and should be ensured to be fully open when in use; 4. Necessary straight pipe sections or their equivalent rectifiers must be installed upstream and downstream of the water meter. The length of the upstream straight pipe section must not be less than 10D, and the length of the downstream straight pipe section must not be less than 5D (D is the nominal diameter of the water meter). For eddy currents caused by elbows or centrifugal pumps, a rectifier must be installed before the straight pipe section; 5. When installing the water meter, please note that the outlet of the downstream pipe of the water meter should be at least 0.5m higher than the water meter to prevent the water meter from measuring incorrectly due to insufficient water flow in the pipe; 6. The water meter has excellent anti-clogging performance, but it is sensitive to silt and weeds in the pipe, so it should be avoided as much as possible during use. If there is silt and weeds in the pipe, it should be cleaned up in time, otherwise it will affect the normal measurement of the water meter.

[0003] When inter-frame coding is performed on the meter reading screen of the smart water meter to compress and transmit the meter reading screen to a remote end, the search range of the inter-frame coding of each meter reading screen is different. If the same search range is used, either a reliable inter-frame coding reference frame cannot be searched, or the cost of searching the inter-frame coding reference frame is too high, resulting in poor quality of image processing performed on the meter reading screen or low efficiency of image processing performed on the meter reading screen. Summary of the invention

[0004] In order to solve the technical problems in the related fields, the present invention provides a smart water meter remote data dynamic processing system, which performs overhead image signal acquisition on the working environment of the smart water meter to obtain and output the corresponding overhead image of the environment, and sequentially performs linear grayscale transformation, edge sharpening and image content frequency domain enhancement on the overhead image of the environment to obtain and output a successively enhanced image with better image quality, thereby providing more reliable basic information for the subsequent accurate positioning and analysis of the surface of the smart water meter, and detecting the image blocks occupied by the surface of the smart water meter in the successively enhanced image based on the base station shape contour corresponding to the surface of the smart water meter as the surface image blocks, and also based on the surface image block memory When the number of noise types determines the number of preceding images selected when searching for inter-frame coding frames in front of the environment overhead image in the video sequence where the environment overhead image is located when inter-frame coding is performed on the environment overhead image as a whole, the number of preceding images is positively correlated with the number of noise types, and the determined number of preceding images is used to perform inter-frame coding on the environment overhead image as a whole to obtain a corresponding inter-frame coding data stream, and the inter-frame coding data stream is sent to a remote meter reading server at a remote end through a wireless communication network, so that in the remote meter reading, a matching inter-frame coding mechanism is dynamically selected based on the complexity of the noise distribution of the key component in the image, namely the surface of the smart water meter, so as to take into account both the inter-frame coding speed and the inter-frame coding effect.

[0005] According to the present invention, a smart water meter remote data dynamic processing system is provided, the system comprising: A bird's-eye view acquisition mechanism is arranged just above the surface of the smart water meter and is used to perform bird's-eye view image signal acquisition on the working environment of the smart water meter to obtain and output a corresponding bird's-eye view image of the environment; A successive enhancement mechanism, connected to the overhead capture mechanism and comprising a front-end enhancement component, a mid-end enhancement component and a terminal enhancement component, for sequentially performing a linear grayscale transformation action, an edge sharpening action and an image content frequency domain enhancement action on the received overhead environment image, so as to obtain and output a corresponding successive enhancement image; an object detection device connected to the successive enhancement mechanism, and configured to detect image blocks occupied by the surface of the smart water meter in the received successive enhancement image based on the base station outline corresponding to the surface of the smart water meter as surface image blocks; a pattern analysis device connected to the object detection device, and used to determine, based on the number of noise types existing in the surface image block, the number of preceding images selected when searching for inter-frame coding frames in front of the environment overhead image in the video sequence where the environment overhead image is located when performing inter-frame coding on the environment overhead image as a whole; A coding execution device, connected to the mode analysis device, is used to perform inter-frame coding on the overall environment overhead image using a determined number of preceding images to obtain a corresponding inter-frame coding data stream, and send the inter-frame coding data stream to a remote meter reading server at a remote end through a wireless communication network; Wherein, determining the number of preceding images selected when searching for inter-frame coding frames in the video sequence where the environment overhead image is located when performing inter-frame coding on the environment overhead image as a whole based on the number of noise types existing in the surface image block includes: the preceding image and the environment overhead image are in the same video sequence and the timestamp of the preceding image is before the timestamp of the environment overhead image; Wherein, determining the number of preceding images selected when searching for inter-frame coded frames in the video sequence where the environment overhead image is located when performing inter-frame coding on the environment overhead image as a whole based on the number of noise types existing in the surface image block comprises: the determined number of preceding images selected when searching for inter-frame coded frames in the video sequence where the environment overhead image is located when performing inter-frame coding on the environment overhead image as a whole is positively correlated with the number of noise types existing in the surface image block; Among them, the positive correlation between the number of preceding images selected when searching for inter-frame coded frames in the video sequence where the environmental overhead image is located when inter-frame coding is performed on the environmental overhead image as a whole and the number of noise types existing in the surface image block includes: using a numerical conversion function to represent the numerical conversion relationship that the positive correlation between the number of preceding images selected when searching for inter-frame coded frames in the video sequence where the environmental overhead image is located when inter-frame coding is performed on the environmental overhead image as a whole and the number of noise types existing in the surface image block.

[0006] It can be seen that the present invention has at least the following important invention points: First: perform overhead image signal acquisition on the working environment of the smart water meter to obtain and output the corresponding overhead image of the environment, and perform linear grayscale transformation, edge sharpening and image content frequency domain enhancement on the overhead image of the environment in sequence to obtain and output a successively enhanced image with better image quality, providing more reliable basic information for the subsequent accurate positioning and analysis of the surface of the smart water meter; Second: based on the base station outline detection corresponding to the surface of the smart water meter, the image blocks occupied by the surface of the smart water meter in the image are successively enhanced to serve as surface image blocks; Third: based on the number of noise types existing in the surface image blocks, the number of preceding images selected when searching for inter-frame coding frames in front of the environment overhead image in the video sequence where the environment overhead image is located when performing inter-frame coding on the environment overhead image as a whole is determined, the number of preceding images is positively correlated with the number of noise types, and the determined number of preceding images is used to perform inter-frame coding on the environment overhead image as a whole to obtain a corresponding inter-frame coding data stream, and the inter-frame coding data stream is sent to a remote meter reading server at a remote end through a wireless communication network, so that in the remote meter reading, a matching inter-frame coding mechanism is dynamically selected based on the complexity of the noise distribution of the key component in the image, i.e., the surface of the smart water meter, so as to take into account both the inter-frame coding speed and the inter-frame coding effect. DETAILED DESCRIPTION

[0007] The implementation scheme of the smart water meter remote data dynamic processing system of the present invention will be described in detail below.

[0008] The smart water meter remote data dynamic processing system shown in embodiment A of the present invention includes: A bird's-eye view acquisition mechanism is arranged just above the surface of the smart water meter and is used to perform bird's-eye view image signal acquisition on the working environment of the smart water meter to obtain and output a corresponding bird's-eye view image of the environment; For example, the overhead capture mechanism is arranged just above the surface of the smart water meter and is used to perform overhead image signal capture of the working environment of the smart water meter to obtain and output a corresponding overhead image of the environment, including: the overhead capture mechanism has a built-in overhead lens; A successive enhancement mechanism, connected to the overhead capture mechanism and comprising a front-end enhancement component, a mid-end enhancement component and a terminal enhancement component, for sequentially performing a linear grayscale transformation action, an edge sharpening action and an image content frequency domain enhancement action on the received overhead environment image, so as to obtain and output a corresponding successive enhancement image; an object detection device connected to the successive enhancement mechanism, and configured to detect image blocks occupied by the surface of the smart water meter in the received successive enhancement image based on the base station outline corresponding to the surface of the smart water meter as surface image blocks; a pattern analysis device connected to the object detection device, and used to determine, based on the number of noise types existing in the surface image block, the number of preceding images selected when searching for inter-frame coding frames in front of the environment overhead image in the video sequence where the environment overhead image is located when performing inter-frame coding on the environment overhead image as a whole; A coding execution device, connected to the mode analysis device, is used to perform inter-frame coding on the overall environment overhead image using a determined number of preceding images to obtain a corresponding inter-frame coding data stream, and send the inter-frame coding data stream to a remote meter reading server at a remote end through a wireless communication network; Wherein, determining the number of preceding images selected when searching for inter-frame coding frames in the video sequence where the environment overhead image is located when performing inter-frame coding on the environment overhead image as a whole based on the number of noise types existing in the surface image block includes: the preceding image and the environment overhead image are in the same video sequence and the timestamp of the preceding image is before the timestamp of the environment overhead image; Wherein, determining the number of preceding images selected when searching for inter-frame coded frames in the video sequence where the environment overhead image is located when performing inter-frame coding on the environment overhead image as a whole based on the number of noise types existing in the surface image block comprises: the determined number of preceding images selected when searching for inter-frame coded frames in the video sequence where the environment overhead image is located when performing inter-frame coding on the environment overhead image as a whole is positively correlated with the number of noise types existing in the surface image block; The positive correlation between the number of preceding images selected when searching for inter-frame coded frames in the video sequence where the environment overhead image is located when inter-frame coding is performed on the environment overhead image as a whole and the number of noise types existing in the surface image block comprises: using a numerical conversion function to represent the numerical conversion relationship between the number of preceding images selected when searching for inter-frame coded frames in the video sequence where the environment overhead image is located when inter-frame coding is performed on the environment overhead image as a whole and the number of noise types existing in the surface image block; Among them, the numerical conversion relationship that the number of preceding images selected when searching for inter-frame coded frames in the video sequence where the environment overhead image is located when inter-frame coding is performed on the environment overhead image as a whole and the number of noise types existing in the surface image block are positively correlated using a numerical conversion function includes: in the numerical conversion function, the number of noise types existing in the surface image block is an input value, and the number of preceding images selected when searching for inter-frame coded frames in the video sequence where the environment overhead image is located when inter-frame coding is performed on the environment overhead image as a whole is an output value; And wherein, the successive enhancement mechanism is connected to the overhead shooting acquisition mechanism and includes a front-end enhancement component, a mid-end enhancement component and a terminal enhancement component, which is used to sequentially perform linear grayscale transformation actions, edge sharpening actions and image content frequency domain enhancement actions on the received overhead shooting image of the environment to obtain and output the corresponding successive enhanced image, including: the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component are connected in sequence.

[0009] Compared with implementation scheme A, the smart water meter remote data dynamic processing system shown in implementation scheme B of the present invention may also include the following components: An anti-vibration processing mechanism is arranged near the front-end reinforcement component, the middle-end reinforcement component, the terminal reinforcement component and the overhead photography collection mechanism and is respectively connected to the front-end reinforcement component, the middle-end reinforcement component, the terminal reinforcement component and the overhead photography collection mechanism; Among them, the anti-vibration processing mechanism is arranged near the front-end reinforcement component, the mid-end reinforcement component, the terminal reinforcement component and the overhead shooting collection mechanism and is respectively connected to the front-end reinforcement component, the mid-end reinforcement component, the terminal reinforcement component and the overhead shooting collection mechanism, including: the anti-vibration processing mechanism is used to respectively perform anti-vibration processing on the front-end reinforcement component, the mid-end reinforcement component, the terminal reinforcement component and the overhead shooting collection mechanism.

[0010] Compared with implementation scheme A, the smart water meter remote data dynamic processing system shown in implementation scheme C of the present invention may also include the following components: A synchronous control mechanism is arranged near the front-end reinforcement component, the middle-end reinforcement component, the terminal reinforcement component and the overhead shooting collection mechanism and is respectively connected to the front-end reinforcement component, the middle-end reinforcement component, the terminal reinforcement component and the overhead shooting collection mechanism; Among them, the synchronous control mechanism is arranged near the front-end reinforcement component, the mid-end reinforcement component, the terminal reinforcement component and the overhead shooting collection mechanism and is respectively connected to the front-end reinforcement component, the mid-end reinforcement component, the terminal reinforcement component and the overhead shooting collection mechanism, including: the synchronous control mechanism is used to respectively realize the synchronous control operation between the front-end reinforcement component, the mid-end reinforcement component, the terminal reinforcement component and the overhead shooting collection mechanism.

[0011] Next, the specific structure of the smart water meter remote data dynamic processing system of the present invention will be further described.

[0012] In the smart water meter remote data dynamic processing system according to any embodiment of the present invention: A content correction mechanism is used to perform image data processing on the output data of the front-end enhancement component, the mid-end enhancement component, the terminal enhancement component and the overhead shooting acquisition mechanism to obtain output processing data corresponding to the front-end enhancement component, the mid-end enhancement component, the terminal enhancement component and the overhead shooting acquisition mechanism respectively.

[0013] In the smart water meter remote data dynamic processing system according to any embodiment of the present invention: The content correction mechanism is used to perform image data processing on the output data of the front-end enhancement component, the mid-end enhancement component, the terminal enhancement component and the overhead shooting acquisition mechanism to obtain the output processing data corresponding to the front-end enhancement component, the mid-end enhancement component, the terminal enhancement component and the overhead shooting acquisition mechanism respectively, including: performing filtering operations on the output data of the front-end enhancement component, the mid-end enhancement component, the terminal enhancement component and the overhead shooting acquisition mechanism to obtain the output processing data corresponding to the front-end enhancement component, the mid-end enhancement component, the terminal enhancement component and the overhead shooting acquisition mechanism respectively.

[0014] In the smart water meter remote data dynamic processing system according to any embodiment of the present invention: The content correction mechanism is used to perform image data processing on the output data of the front-end enhancement component, the mid-end enhancement component, the terminal enhancement component and the overhead shooting acquisition mechanism to obtain the output processing data corresponding to the front-end enhancement component, the mid-end enhancement component, the terminal enhancement component and the overhead shooting acquisition mechanism respectively, including: performing a sharpening operation on the output data of the front-end enhancement component, the mid-end enhancement component, the terminal enhancement component and the overhead shooting acquisition mechanism to obtain the output processing data corresponding to the front-end enhancement component, the mid-end enhancement component, the terminal enhancement component and the overhead shooting acquisition mechanism respectively.

[0015] And in the smart water meter remote data dynamic processing system according to any embodiment of the present invention: Using the content correction mechanism to perform image data processing on the output data of the front-end enhancement component, the mid-end enhancement component, the terminal enhancement component and the overhead capture mechanism to obtain the output processing data corresponding to the front-end enhancement component, the mid-end enhancement component, the terminal enhancement component and the overhead capture mechanism respectively includes: performing enhancement operations on the output data of the front-end enhancement component, the mid-end enhancement component, the terminal enhancement component and the overhead capture mechanism to obtain the output processing data corresponding to the front-end enhancement component, the mid-end enhancement component, the terminal enhancement component and the overhead capture mechanism respectively; Alternatively, a content correction mechanism is used to perform image data processing on the output data of the front-end enhancement component, the mid-end enhancement component, the terminal enhancement component and the overhead shooting acquisition mechanism to obtain the output processing data corresponding to the front-end enhancement component, the mid-end enhancement component, the terminal enhancement component and the overhead shooting acquisition mechanism, including: performing a point image restoration operation on the output data of the front-end enhancement component, the mid-end enhancement component, the terminal enhancement component and the overhead shooting acquisition mechanism to obtain the output processing data corresponding to the front-end enhancement component, the mid-end enhancement component, the terminal enhancement component and the overhead shooting acquisition mechanism, respectively.

[0016] In addition, in the smart water meter remote data dynamic processing system, a successive enhancement mechanism is connected to the overhead capture mechanism and includes a front-end enhancement component, a mid-end enhancement component and a terminal enhancement component, which is used to sequentially perform linear grayscale transformation, edge sharpening and image content frequency domain enhancement on the received overhead image of the environment to obtain and output the corresponding successive enhanced image. It also includes: the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component respectively perform linear grayscale transformation, edge sharpening and image content frequency domain enhancement on the received image signal.

[0017] The smart water meter remote data dynamic processing system of the present invention aims to solve the technical problem that the image processing mechanism of the meter reading screen of the smart water meter in the prior art is difficult to take into account both the inter-frame coding speed and the inter-frame coding effect. By executing a bird's-eye view image signal on the working environment of the smart water meter to collect the environment bird's-eye view image, the number of preceding images to be selected when searching for the inter-frame coding frame in the video sequence where the environment bird's-eye view image is located when performing inter-frame coding on the environment bird's-eye view image as a whole is determined based on the number of noise types existing in the surface image block occupied by the surface of the smart water meter, thereby taking into account both the inter-frame coding speed and the inter-frame coding effect, and solving the above technical problem.

[0018] Although only certain embodiments of the present invention have been described in detail above, those skilled in the art will readily appreciate that many modifications may be made in the embodiments without substantially departing from the novel teachings and advantages of the present invention. Therefore, all of these modifications should be included within the scope of the present invention.

Claims

1. A smart water meter remote data dynamic processing system, characterized in that: The system comprises: A bird's-eye view acquisition mechanism is arranged just above the surface of the smart water meter and is used to perform bird's-eye view image signal acquisition on the working environment of the smart water meter to obtain and output a corresponding bird's-eye view image of the environment; A successive enhancement mechanism, connected to the overhead capture mechanism and comprising a front-end enhancement component, a mid-end enhancement component and a terminal enhancement component, for sequentially performing a linear grayscale transformation action, an edge sharpening action and an image content frequency domain enhancement action on the received overhead environment image, so as to obtain and output a corresponding successive enhancement image; an object detection device connected to the successive enhancement mechanism, and configured to detect image blocks occupied by the surface of the smart water meter in the received successive enhancement image based on the base station outline corresponding to the surface of the smart water meter as surface image blocks; a pattern analysis device connected to the object detection device, and used to determine, based on the number of noise types existing in the surface image block, the number of preceding images selected when searching for inter-frame coding frames in front of the environment overhead image in the video sequence where the environment overhead image is located when performing inter-frame coding on the environment overhead image as a whole; A coding execution device, connected to the mode analysis device, is used to perform inter-frame coding on the overall environment overhead image using a determined number of preceding images to obtain a corresponding inter-frame coding data stream, and send the inter-frame coding data stream to a remote meter reading server at a remote end through a wireless communication network; Wherein, determining the number of preceding images selected when searching for inter-frame coding frames in the video sequence where the environment overhead image is located when performing inter-frame coding on the environment overhead image as a whole based on the number of noise types existing in the surface image block includes: the preceding image and the environment overhead image are in the same video sequence and the timestamp of the preceding image is before the timestamp of the environment overhead image; Wherein, determining the number of preceding images selected when searching for inter-frame coded frames in the video sequence where the environment overhead image is located when performing inter-frame coding on the environment overhead image as a whole based on the number of noise types existing in the surface image block comprises: the determined number of preceding images selected when searching for inter-frame coded frames in the video sequence where the environment overhead image is located when performing inter-frame coding on the environment overhead image as a whole is positively correlated with the number of noise types existing in the surface image block; Among them, the positive correlation between the number of preceding images selected when searching for inter-frame coded frames in the video sequence where the environmental overhead image is located when inter-frame coding is performed on the environmental overhead image as a whole and the number of noise types existing in the surface image block includes: using a numerical conversion function to represent the numerical conversion relationship that the positive correlation between the number of preceding images selected when searching for inter-frame coded frames in the video sequence where the environmental overhead image is located when inter-frame coding is performed on the environmental overhead image as a whole and the number of noise types existing in the surface image block.

2. The smart water meter remote data dynamic processing system according to claim 1, characterized in that: A numerical conversion function is used to represent the numerical conversion relationship in which the number of preceding images selected when searching for inter-frame coded frames in front of the environment overhead image in the video sequence where the environment overhead image is located when inter-frame coding is performed on the environment overhead image as a whole and the number of noise types existing in the surface image block are positively correlated, including: in the numerical conversion function, the number of noise types existing in the surface image block is the input value, and the number of preceding images selected when searching for inter-frame coded frames in front of the environment overhead image in the video sequence where the environment overhead image is located when inter-frame coding is performed on the environment overhead image as a whole is the output value.

3. The intelligent water meter remote data dynamic processing system as claimed in claim 2, characterized in that: The successive enhancement mechanism is connected to the overhead camera acquisition mechanism and includes a front-end enhancement component, a mid-end enhancement component and a terminal enhancement component, and is used to sequentially perform linear grayscale transformation, edge sharpening and image content frequency domain enhancement on the received overhead camera image of the environment to obtain and output a corresponding successive enhanced image, including: the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component are sequentially connected.

4. The intelligent water meter remote data dynamic processing system according to claim 3, characterized in that: The system further comprises: An anti-vibration processing mechanism is arranged near the front-end reinforcement component, the middle-end reinforcement component, the terminal reinforcement component and the overhead photography collection mechanism and is respectively connected to the front-end reinforcement component, the middle-end reinforcement component, the terminal reinforcement component and the overhead photography collection mechanism; Among them, the anti-vibration processing mechanism is arranged near the front-end reinforcement component, the mid-end reinforcement component, the terminal reinforcement component and the overhead shooting collection mechanism and is respectively connected to the front-end reinforcement component, the mid-end reinforcement component, the terminal reinforcement component and the overhead shooting collection mechanism, including: the anti-vibration processing mechanism is used to respectively perform anti-vibration processing on the front-end reinforcement component, the mid-end reinforcement component, the terminal reinforcement component and the overhead shooting collection mechanism.

5. The intelligent water meter remote data dynamic processing system according to claim 3, characterized in that: The system further comprises: A synchronous control mechanism is arranged near the front-end reinforcement component, the middle-end reinforcement component, the terminal reinforcement component and the overhead shooting collection mechanism and is respectively connected to the front-end reinforcement component, the middle-end reinforcement component, the terminal reinforcement component and the overhead shooting collection mechanism; Among them, the synchronous control mechanism is arranged near the front-end reinforcement component, the mid-end reinforcement component, the terminal reinforcement component and the overhead shooting collection mechanism and is respectively connected to the front-end reinforcement component, the mid-end reinforcement component, the terminal reinforcement component and the overhead shooting collection mechanism, including: the synchronous control mechanism is used to respectively realize the synchronous control operation between the front-end reinforcement component, the mid-end reinforcement component, the terminal reinforcement component and the overhead shooting collection mechanism.

6. The smart water meter remote data dynamic processing system according to any one of claims 3 to 5, characterized in that: A content correction mechanism is used to perform image data processing on the output data of the front-end enhancement component, the mid-end enhancement component, the terminal enhancement component and the overhead shooting acquisition mechanism to obtain output processing data corresponding to the front-end enhancement component, the mid-end enhancement component, the terminal enhancement component and the overhead shooting acquisition mechanism respectively.

7. The intelligent water meter remote data dynamic processing system according to claim 6, characterized in that: The content correction mechanism is used to perform image data processing on the output data of the front-end enhancement component, the mid-end enhancement component, the terminal enhancement component and the overhead shooting acquisition mechanism to obtain the output processing data corresponding to the front-end enhancement component, the mid-end enhancement component, the terminal enhancement component and the overhead shooting acquisition mechanism respectively, including: performing filtering operations on the output data of the front-end enhancement component, the mid-end enhancement component, the terminal enhancement component and the overhead shooting acquisition mechanism to obtain the output processing data corresponding to the front-end enhancement component, the mid-end enhancement component, the terminal enhancement component and the overhead shooting acquisition mechanism respectively.

8. The intelligent water meter remote data dynamic processing system according to claim 6, characterized in that: The content correction mechanism is used to perform image data processing on the output data of the front-end enhancement component, the mid-end enhancement component, the terminal enhancement component and the overhead shooting acquisition mechanism to obtain the output processing data corresponding to the front-end enhancement component, the mid-end enhancement component, the terminal enhancement component and the overhead shooting acquisition mechanism respectively, including: performing a sharpening operation on the output data of the front-end enhancement component, the mid-end enhancement component, the terminal enhancement component and the overhead shooting acquisition mechanism to obtain the output processing data corresponding to the front-end enhancement component, the mid-end enhancement component, the terminal enhancement component and the overhead shooting acquisition mechanism respectively.

9. The intelligent water meter remote data dynamic processing system according to claim 6, characterized in that: Using the content correction mechanism to perform image data processing on the output data of the front-end enhancement component, the mid-end enhancement component, the terminal enhancement component and the overhead capture mechanism to obtain the output processing data corresponding to the front-end enhancement component, the mid-end enhancement component, the terminal enhancement component and the overhead capture mechanism respectively includes: performing enhancement operations on the output data of the front-end enhancement component, the mid-end enhancement component, the terminal enhancement component and the overhead capture mechanism to obtain the output processing data corresponding to the front-end enhancement component, the mid-end enhancement component, the terminal enhancement component and the overhead capture mechanism respectively; Alternatively, a content correction mechanism is used to perform image data processing on the output data of the front-end enhancement component, the mid-end enhancement component, the terminal enhancement component and the overhead shooting acquisition mechanism to obtain the output processing data corresponding to the front-end enhancement component, the mid-end enhancement component, the terminal enhancement component and the overhead shooting acquisition mechanism, including: performing a point image restoration operation on the output data of the front-end enhancement component, the mid-end enhancement component, the terminal enhancement component and the overhead shooting acquisition mechanism to obtain the output processing data corresponding to the front-end enhancement component, the mid-end enhancement component, the terminal enhancement component and the overhead shooting acquisition mechanism, respectively.

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