Wireless routing automation control system

Abstract

The invention relates to a wireless routing automation control system comprising a secondary layer capture device used for analyzing whether a crystal connector and a wireless routing mechanism are connected or not by using a depth feedforward network according to various imaging data of the crystal connector in an order optimization picture; and the abnormity alarm equipment is used for executing remote alarm operation corresponding to vibration separation when the deep feed-forward network analyzes that the crystal connector and the wireless routing mechanism are not connected, otherwise, postponing execution of the remote alarm operation. The wireless routing automatic control system is compact in logic and easy and convenient to operate and control. The abnormity alarm device is used for executing the remote alarm operation corresponding to the vibration separation when the deep feed-forward network analyzes that the crystal connector and the wireless routing mechanism are not connected, so that the automatic improvement of the detection and alarm operation of the vibration separation abnormal state of the crystal connector of the wireless routing mechanism is realized.

Description

Technical Field

[0001] The present invention relates to the field of automatic control, and in particular to a wireless routing automatic control system. Background Art

[0002] Automation control technology is widely used in industry, agriculture, military, scientific research, transportation, commerce, medical treatment, services and family. The use of automation control can not only liberate people from heavy physical labor, some mental labor and harsh and dangerous working environment, but also expand the function of human organs, greatly improve labor productivity, and enhance human ability to understand and transform the world. Therefore, automation control is an important condition and a significant symbol of the modernization of industry, agriculture, national defense and science and technology.

[0003] The automation control technology can be applied to various sub-fields. For example, it can be used to perform automated electronic detection on whether the crystal connector of the wireless routing mechanism is separated from the wireless routing mechanism body. However, the environment in which the wireless routing mechanism is located is complex and the relative state of the wireless routing mechanism and the crystal connector is difficult to identify with high precision, which makes it difficult to implement the automated transformation of the detection of whether the crystal connector of the wireless routing mechanism is separated from the wireless routing mechanism body. The prior art proposes a crystal connector for cloud computer services (application publication number CN116722408A), including a crystal connector body, a press plate fixedly installed on the top of the left side of the crystal connector body, an inner opening opened inside the crystal connector body, and side openings opened on both sides of the front of the crystal connector body. By setting the card plate, the card block and the flexible spring, when the crystal connector body is inserted into the network port, the inner surface of the network port will squeeze the card plate, causing the card plate to rotate around the circular axis, and the card plate will squeeze the flexible spring and shrink to the inside of the side port. When the crystal connector body is installed, the elastic recovery effect of the flexible spring will cause the card block to be stuck on the outside of the network port, thereby strengthening the fixing effect of the crystal connector body as a whole, making it difficult to detach from the inside of the network port, thereby ensuring the stability of the crystal connector for data transmission. Summary of the invention

[0004] The present invention provides a wireless routing automation control system, the system comprising: A vibration identification mechanism, arranged on the wireless routing mechanism, is used to detect the real-time vibration value of the wireless routing mechanism, and to issue a state identification request when the real-time vibration value obtained is greater than or equal to a set vibration threshold; A spherical camera mechanism connected to the vibration identification mechanism is used to start a live panoramic image capture operation of the scene where the wireless routing mechanism is located upon receiving the state identification request, so as to obtain and output a corresponding panoramic scene picture; An order optimization mechanism, connected to the spherical camera mechanism and comprising a sharpening processing device, an artifact removal device and an exponential enhancement device, for successively performing a sharpening process based on a USM filter, an artifact removal process and an image content enhancement process based on an exponential transformation on the received panoramic scene picture upon receiving a state recognition request, so as to obtain and output a corresponding order optimization picture; The first-layer capture device is connected to the order optimization mechanism, and is used to identify the imaging picture of the crystal joint in the order optimization picture according to the brightness value interval corresponding to the crystal joint, and to identify the imaging picture of the wireless routing mechanism in the order optimization picture according to the brightness value interval corresponding to the wireless routing mechanism, and the brightness value interval corresponding to the crystal joint and the brightness value interval corresponding to the wireless routing mechanism are both within the range of 0-255; A secondary capture device is connected to the primary capture device, and is used to analyze whether the crystal connector and the wireless routing mechanism are connected using a deep feedforward network according to the number of pixels occupied by the imaging picture of the crystal connector in the order optimization picture, the number of pixels occupied by the imaging picture of the wireless routing mechanism in the order optimization picture, the coordinate data corresponding to each pixel occupied by the imaging picture of the crystal connector in the order optimization picture, and the coordinate data corresponding to each pixel occupied by the imaging picture of the wireless routing mechanism in the order optimization picture; An abnormal alarm device, connected to the sub-layer capture device, is used to perform a remote alarm operation corresponding to the vibration separation when the deep feedforward network analysis crystal connector and the wireless routing mechanism are not connected; Wherein, the abnormal alarm device is also used to temporarily suspend the remote alarm operation corresponding to the vibration separation when the deep feedforward network analysis crystal connector and the wireless routing mechanism are handed over; The depth of the deep feedforward network is proportional to the arithmetic mean of the number of pixels occupied by the imaging picture of the crystal joint in the order optimization picture and the number of pixels occupied by the imaging picture of the wireless routing mechanism in the order optimization picture.

[0005] The wireless routing automation control system of the present invention has compact logic and is easy to operate. By using an abnormal alarm device to perform a remote alarm operation corresponding to vibration separation when the deep feedforward network analyzes that the crystal connector and the wireless routing mechanism are not connected, the abnormal state of vibration separation of the crystal connector of the wireless routing mechanism is detected and the alarm operation is automatically improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0006] The embodiments of the present invention will be described below with reference to the accompanying drawings.

[0007] Figure 1 FIG. 1 is a structural block diagram of a wireless routing automation control system according to Embodiment 1 of the present invention.

[0008] Figure 2 It is a structural block diagram of a wireless routing automation control system according to the second embodiment of the present invention.

[0009] Figure 3 1 is a structural block diagram of a wireless routing automation control system according to Embodiment 3 of the present invention. DETAILED DESCRIPTION

[0010] The embodiments of the wireless routing automation control system of the present invention will be described in detail below with reference to the accompanying drawings. Example

[0011] Figure 1 The structure block diagram of the wireless routing automation control system according to the first embodiment of the present invention is shown, and the system includes: A vibration identification mechanism, arranged on the wireless routing mechanism, is used to detect the real-time vibration value of the wireless routing mechanism, and to issue a state identification request when the real-time vibration value obtained is greater than or equal to a set vibration threshold; For example, the vibration identification mechanism has a built-in static storage unit for pre-storing the set vibration threshold; The vibration identification mechanism also has a built-in value analysis unit connected to the static storage unit, which is used to issue a state identification request when the acquired real-time vibration value is greater than or equal to a set vibration threshold; A spherical camera mechanism connected to the vibration identification mechanism is used to start a live panoramic image capture operation of the scene where the wireless routing mechanism is located upon receiving the state identification request, so as to obtain and output a corresponding panoramic scene picture; An order optimization mechanism, connected to the spherical camera mechanism and comprising a sharpening processing device, an artifact removal device and an exponential enhancement device, for successively performing a sharpening process based on a USM filter, an artifact removal process and an image content enhancement process based on an exponential transformation on the received panoramic scene picture upon receiving a state recognition request, so as to obtain and output a corresponding order optimization picture; The first-layer capture device is connected to the order optimization mechanism, and is used to identify the imaging picture of the crystal joint in the order optimization picture according to the brightness value interval corresponding to the crystal joint, and to identify the imaging picture of the wireless routing mechanism in the order optimization picture according to the brightness value interval corresponding to the wireless routing mechanism, and the brightness value interval corresponding to the crystal joint and the brightness value interval corresponding to the wireless routing mechanism are both within the range of 0-255; A secondary capture device is connected to the primary capture device, and is used to analyze whether the crystal connector and the wireless routing mechanism are connected using a deep feedforward network according to the number of pixels occupied by the imaging picture of the crystal connector in the order optimization picture, the number of pixels occupied by the imaging picture of the wireless routing mechanism in the order optimization picture, the coordinate data corresponding to each pixel occupied by the imaging picture of the crystal connector in the order optimization picture, and the coordinate data corresponding to each pixel occupied by the imaging picture of the wireless routing mechanism in the order optimization picture; An abnormal alarm device, connected to the sub-layer capture device, is used to perform a remote alarm operation corresponding to the vibration separation when the deep feedforward network analysis crystal connector and the wireless routing mechanism are not connected; Wherein, the abnormal alarm device is also used to temporarily suspend the remote alarm operation corresponding to the vibration separation when the deep feedforward network analysis crystal connector and the wireless routing mechanism are handed over; The depth of the deep feedforward network is proportional to the arithmetic mean of the number of pixels occupied by the imaging picture of the crystal joint in the order optimization picture and the number of pixels occupied by the imaging picture of the wireless routing mechanism in the order optimization picture; Wherein, the vibration identification mechanism is also used to send a relatively stable signal when the real-time vibration value obtained is less than the set vibration threshold; Wherein, the spherical camera mechanism is also used to stop executing the on-site panoramic image capturing operation of the scene where the wireless routing mechanism is located when receiving the relatively stable signal. Example

[0012] Figure 2 It is a structural block diagram of a wireless routing automation control system according to the second embodiment of the present invention.

[0013] Figure 2 The wireless routing automation control system in the system may include: A vibration identification mechanism, arranged on the wireless routing mechanism, is used to detect the real-time vibration value of the wireless routing mechanism, and to issue a state identification request when the real-time vibration value obtained is greater than or equal to a set vibration threshold; A spherical camera mechanism connected to the vibration identification mechanism is used to start a live panoramic image capture operation of the scene where the wireless routing mechanism is located upon receiving the state identification request, so as to obtain and output a corresponding panoramic scene picture; An order optimization mechanism, connected to the spherical camera mechanism and comprising a sharpening processing device, an artifact removal device and an exponential enhancement device, for successively performing a sharpening process based on a USM filter, an artifact removal process and an image content enhancement process based on an exponential transformation on the received panoramic scene picture upon receiving a state recognition request, so as to obtain and output a corresponding order optimization picture; The first-layer capture device is connected to the order optimization mechanism, and is used to identify the imaging picture of the crystal joint in the order optimization picture according to the brightness value interval corresponding to the crystal joint, and to identify the imaging picture of the wireless routing mechanism in the order optimization picture according to the brightness value interval corresponding to the wireless routing mechanism, and the brightness value interval corresponding to the crystal joint and the brightness value interval corresponding to the wireless routing mechanism are both within the range of 0-255; A secondary capture device is connected to the primary capture device, and is used to analyze whether the crystal connector and the wireless routing mechanism are connected using a deep feedforward network according to the number of pixels occupied by the imaging picture of the crystal connector in the order optimization picture, the number of pixels occupied by the imaging picture of the wireless routing mechanism in the order optimization picture, the coordinate data corresponding to each pixel occupied by the imaging picture of the crystal connector in the order optimization picture, and the coordinate data corresponding to each pixel occupied by the imaging picture of the wireless routing mechanism in the order optimization picture; An abnormal alarm device, connected to the sub-layer capture device, is used to perform a remote alarm operation corresponding to the vibration separation when the deep feedforward network analysis crystal connector and the wireless routing mechanism are not connected; A parameter configuration device is connected to the sharpening processing device, the artifact removal device, the exponential enhancement device, the first-layer capture device, and the second-layer capture device, respectively, and is used to provide the sharpening processing device, the artifact removal device, the exponential enhancement device, the first-layer capture device, and the second-layer capture device with the parameter configuration services required by each of them; Wherein, the parameter configuration device is respectively connected to the sharpening processing device, the artifact removal device and the index enhancement device, the first-layer capture device and the second-layer capture device, and is used to provide the sharpening processing device, the artifact removal device and the index enhancement device, the first-layer capture device and the second-layer capture device with the parameter configuration services required by each of them, including: the parameter configuration device uses the IIC configuration bus to provide the sharpening processing device, the artifact removal device and the index enhancement device, the first-layer capture device and the second-layer capture device with the parameter configuration services required by each of them; The parameter configuration device uses the IIC configuration bus to provide the sharpening processing device, the artifact removal device, the exponential enhancement device, the first-layer capture device, and the second-layer capture device with their respective required parameter configuration services, including: the sharpening processing device, the artifact removal device, the exponential enhancement device, the first-layer capture device, and the second-layer capture device have different IIC configuration addresses respectively; The sharpening processing device, the artifact removal device, the exponential enhancement device, the first-layer capture device, and the second-layer capture device respectively have different IIC configuration addresses, including: the sharpening processing device, the artifact removal device, the exponential enhancement device, the first-layer capture device, and the second-layer capture device respectively have different IIC configuration addresses in a binary value representation mode; And wherein, the different IIC configuration addresses respectively possessed by the sharpening processing device, the artifact removal device, the exponential enhancement device, the first-layer capture device, and the second-layer capture device are binary numerical representation modes, including: the byte lengths of the different IIC configuration addresses respectively possessed by the sharpening processing device, the artifact removal device, the exponential enhancement device, the first-layer capture device, and the second-layer capture device are equal. Example

[0014] Figure 3 1 is a structural block diagram of a wireless routing automation control system according to Embodiment 3 of the present invention.

[0015] Figure 3 The wireless routing automation control system in the system may include: A vibration identification mechanism, arranged on the wireless routing mechanism, is used to detect the real-time vibration value of the wireless routing mechanism, and to issue a state identification request when the real-time vibration value obtained is greater than or equal to a set vibration threshold; A spherical camera mechanism connected to the vibration identification mechanism is used to start a live panoramic image capture operation of the scene where the wireless routing mechanism is located upon receiving the state identification request, so as to obtain and output a corresponding panoramic scene picture; An order optimization mechanism, connected to the spherical camera mechanism and comprising a sharpening processing device, an artifact removal device and an exponential enhancement device, for successively performing a sharpening process based on a USM filter, an artifact removal process and an image content enhancement process based on an exponential transformation on the received panoramic scene picture upon receiving a state recognition request, so as to obtain and output a corresponding order optimization picture; The first-layer capture device is connected to the order optimization mechanism, and is used to identify the imaging picture of the crystal joint in the order optimization picture according to the brightness value interval corresponding to the crystal joint, and to identify the imaging picture of the wireless routing mechanism in the order optimization picture according to the brightness value interval corresponding to the wireless routing mechanism, and the brightness value interval corresponding to the crystal joint and the brightness value interval corresponding to the wireless routing mechanism are both within the range of 0-255; A secondary capture device is connected to the primary capture device, and is used to analyze whether the crystal connector and the wireless routing mechanism are connected using a deep feedforward network according to the number of pixels occupied by the imaging picture of the crystal connector in the order optimization picture, the number of pixels occupied by the imaging picture of the wireless routing mechanism in the order optimization picture, the coordinate data corresponding to each pixel occupied by the imaging picture of the crystal connector in the order optimization picture, and the coordinate data corresponding to each pixel occupied by the imaging picture of the wireless routing mechanism in the order optimization picture; An abnormal alarm device, connected to the sub-layer capture device, is used to perform a remote alarm operation corresponding to the vibration separation when the deep feedforward network analysis crystal connector and the wireless routing mechanism are not connected; A positioning operation device, connected to the sharpening processing device, the artifact removal device, the exponential enhancement device, the first-layer capture device, and the second-layer capture device, respectively, for providing positioning services to the sharpening processing device, the artifact removal device, the exponential enhancement device, the first-layer capture device, and the second-layer capture device, respectively; Wherein, the positioning operation device is respectively connected to the sharpening processing device, the artifact removal device and the index enhancement device, the first-layer capture device and the second-layer capture device, and is used to provide positioning services for the sharpening processing device, the artifact removal device and the index enhancement device, the first-layer capture device and the second-layer capture device respectively, including: the positioning operation device adopts the GPS positioning mechanism to provide GPS positioning services for the sharpening processing device, the artifact removal device and the index enhancement device, the first-layer capture device and the second-layer capture device respectively; And wherein, the positioning operation device is respectively connected to the sharpening processing device, the artifact removal device and the exponential enhancement device, the first-layer capture device and the secondary-layer capture device, and is used to provide positioning services for the sharpening processing device, the artifact removal device and the exponential enhancement device, the first-layer capture device and the secondary-layer capture device respectively, including: the positioning operation device adopts the Beidou positioning mechanism to provide Beidou positioning services for the sharpening processing device, the artifact removal device and the exponential enhancement device, the first-layer capture device and the secondary-layer capture device respectively.

[0016] In addition, in the wireless routing automatic control system, using a deep feedforward network to analyze whether the crystal connector and the wireless routing mechanism are connected according to the number of pixels occupied by the imaging screen of the crystal connector in the order optimization screen, the number of pixels occupied by the imaging screen of the wireless routing mechanism in the order optimization screen, the coordinate data corresponding to each pixel occupied by the imaging screen of the crystal connector in the order optimization screen, and the coordinate data corresponding to each pixel occupied by the imaging screen of the wireless routing mechanism in the order optimization screen includes: using a MATLAB toolbox to simulate and implement a data processing process of using a deep feedforward network to analyze whether the crystal connector and the wireless routing mechanism are connected according to the number of pixels occupied by the imaging screen of the crystal connector in the order optimization screen, the number of pixels occupied by the imaging screen of the wireless routing mechanism in the order optimization screen, the coordinate data corresponding to each pixel occupied by the imaging screen of the crystal connector in the order optimization screen, and the coordinate data corresponding to each pixel occupied by the imaging screen of the wireless routing mechanism in the order optimization screen.

[0017] Therefore, the present invention has the following outstanding technical effects: Technical effect A: the imaging picture of the crystal joint in the order optimization picture is identified according to the brightness value interval corresponding to the crystal joint, and the imaging picture of the wireless routing mechanism in the order optimization picture is identified according to the brightness value interval corresponding to the wireless routing mechanism, and the brightness value interval corresponding to the crystal joint and the brightness value interval corresponding to the wireless routing mechanism are both within the range of 0-255; Technical effect B: according to the number of pixels occupied by the imaging screen of the crystal connector in the order optimization screen, the number of pixels occupied by the imaging screen of the wireless routing mechanism in the order optimization screen, the coordinate data corresponding to each pixel occupied by the imaging screen of the crystal connector in the order optimization screen, and the coordinate data corresponding to each pixel occupied by the imaging screen of the wireless routing mechanism in the order optimization screen, a deep feedforward network is used to intelligently analyze whether the crystal connector and the wireless routing mechanism are connected; Technical effect C: The depth of the deep feedforward network for performing intelligent analysis is proportional to the arithmetic mean of the number of pixels occupied by the imaging screen of the crystal joint in the order optimization screen and the number of pixels occupied by the imaging screen of the wireless routing mechanism in the order optimization screen, thereby completing the targeted structural design of the deep feedforward network; Technical effect D: An abnormal alarm device is used to execute a remote alarm operation corresponding to vibration separation when the deep feedforward network analysis crystal connector and the wireless routing mechanism are not connected, and to temporarily suspend the remote alarm operation corresponding to vibration separation when the deep feedforward network analysis crystal connector and the wireless routing mechanism are connected, thereby realizing the automation improvement of the detection and alarm operation of the abnormal state of vibration separation of the crystal connector of the wireless routing mechanism.

[0018] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A wireless routing automation control system, characterized in that: The system comprises: A vibration identification mechanism, arranged on the wireless routing mechanism, is used to detect the real-time vibration value of the wireless routing mechanism, and to issue a state identification request when the real-time vibration value obtained is greater than or equal to a set vibration threshold; A spherical camera mechanism connected to the vibration identification mechanism is used to start a live panoramic image capture operation of the scene where the wireless routing mechanism is located upon receiving the state identification request, so as to obtain and output a corresponding panoramic scene picture; An order optimization mechanism, connected to the spherical camera mechanism and comprising a sharpening processing device, an artifact removal device and an exponential enhancement device, for successively performing a sharpening process based on a USM filter, an artifact removal process and an image content enhancement process based on an exponential transformation on the received panoramic scene picture upon receiving a state recognition request, so as to obtain and output a corresponding order optimization picture; The first-layer capture device is connected to the order optimization mechanism, and is used to identify the imaging picture of the crystal joint in the order optimization picture according to the brightness value interval corresponding to the crystal joint, and to identify the imaging picture of the wireless routing mechanism in the order optimization picture according to the brightness value interval corresponding to the wireless routing mechanism, and the brightness value interval corresponding to the crystal joint and the brightness value interval corresponding to the wireless routing mechanism are both within the range of 0-255; A secondary capture device is connected to the primary capture device, and is used to analyze whether the crystal connector and the wireless routing mechanism are connected using a deep feedforward network according to the number of pixels occupied by the imaging picture of the crystal connector in the order optimization picture, the number of pixels occupied by the imaging picture of the wireless routing mechanism in the order optimization picture, the coordinate data corresponding to each pixel occupied by the imaging picture of the crystal connector in the order optimization picture, and the coordinate data corresponding to each pixel occupied by the imaging picture of the wireless routing mechanism in the order optimization picture; An abnormal alarm device, connected to the sub-layer capture device, is used to perform a remote alarm operation corresponding to the vibration separation when the deep feedforward network analysis crystal connector and the wireless routing mechanism are not connected; Wherein, the abnormal alarm device is also used to temporarily suspend the remote alarm operation corresponding to the vibration separation when the deep feedforward network analysis crystal connector and the wireless routing mechanism are handed over; The depth of the deep feedforward network is proportional to the arithmetic mean of the number of pixels occupied by the imaging picture of the crystal joint in the order optimization picture and the number of pixels occupied by the imaging picture of the wireless routing mechanism in the order optimization picture.

2. The wireless routing automation control system according to claim 1, characterized in that: The vibration identification mechanism is also used to send a relatively stable signal when the real-time vibration value obtained is less than the set vibration threshold; Wherein, the spherical camera mechanism is also used to stop executing the on-site panoramic image capturing operation of the scene where the wireless routing mechanism is located when receiving the relatively stable signal.

3. The wireless routing automation control system according to claim 2, characterized in that: The system further comprises: A parameter configuration device is connected to the sharpening processing device, the artifact removal device, the exponential enhancement device, the first-layer capture device, and the second-layer capture device, respectively, and is used to provide the sharpening processing device, the artifact removal device, the exponential enhancement device, the first-layer capture device, and the second-layer capture device with the parameter configuration services required by each of them; Among them, the parameter configuration device is respectively connected to the sharpening processing device, the artifact removal device and the exponential enhancement device, the first-layer capture device and the second-layer capture device, and is used to provide the sharpening processing device, the artifact removal device and the exponential enhancement device, the first-layer capture device and the second-layer capture device with the parameter configuration services they need respectively, including: the parameter configuration device uses the IIC configuration bus to provide the sharpening processing device, the artifact removal device and the exponential enhancement device, the first-layer capture device and the second-layer capture device with the parameter configuration services they need respectively.

4. The wireless routing automation control system as claimed in claim 3, characterized in that: The parameter configuration device uses the IIC configuration bus to provide the sharpening processing device, the artifact removal device and the exponential enhancement device, the first-layer capture device and the second-layer capture device with their respective required parameter configuration services, including: the sharpening processing device, the artifact removal device and the exponential enhancement device, the first-layer capture device and the second-layer capture device have different IIC configuration addresses respectively.

5. The wireless routing automation control system as claimed in claim 4, characterized in that: The sharpening processing device, the artifact removal device, the exponential enhancement device, the first-layer capture device and the second-layer capture device respectively have different IIC configuration addresses, including: the sharpening processing device, the artifact removal device and the exponential enhancement device, the first-layer capture device and the second-layer capture device respectively have different IIC configuration addresses in binary numerical representation mode.

6. The wireless routing automation control system as claimed in claim 5, characterized in that: The different IIC configuration addresses respectively possessed by the sharpening processing device, the artifact removal device, the exponential enhancement device, the first-layer capture device, and the second-layer capture device are in a binary numerical representation mode, including: the byte lengths of the different IIC configuration addresses respectively possessed by the sharpening processing device, the artifact removal device, the exponential enhancement device, the first-layer capture device, and the second-layer capture device are equal.

7. The wireless routing automation control system as claimed in claim 2, characterized in that: The system further comprises: The positioning operation device is respectively connected to the sharpening processing device, the artifact removal device and the exponential enhancement device, the first-layer capture device and the second-layer capture device, and is used to provide positioning services for the sharpening processing device, the artifact removal device and the exponential enhancement device, the first-layer capture device and the second-layer capture device respectively.

8. The wireless routing automation control system as claimed in claim 7, characterized in that: The positioning operation device is respectively connected to the sharpening processing device, the artifact removal device and the exponential enhancement device, the first-layer capture device and the second-layer capture device, and is used to provide positioning services for the sharpening processing device, the artifact removal device and the exponential enhancement device, the first-layer capture device and the second-layer capture device respectively, including: the positioning operation device adopts the GPS positioning mechanism to provide GPS positioning services for the sharpening processing device, the artifact removal device and the exponential enhancement device, the first-layer capture device and the second-layer capture device respectively.

9. The wireless routing automation control system as claimed in claim 7, characterized in that: The positioning operation device is respectively connected to the sharpening processing device, the artifact removal device and the exponential enhancement device, the first-layer capture device and the second-layer capture device, and is used to provide positioning services for the sharpening processing device, the artifact removal device and the exponential enhancement device, the first-layer capture device and the second-layer capture device respectively, including: the positioning operation device adopts the Big Dipper positioning mechanism to provide the Big Dipper positioning service for the sharpening processing device, the artifact removal device and the exponential enhancement device, the first-layer capture device and the second-layer capture device respectively.

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