Smart city big data management system

Abstract

The invention relates to a smart city big data management system. The system comprises a traffic monitoring mechanism, a content enrichment device, a signal enhancement device, an image rendering device, a target judgment component and a wireless return component. The smart city big data management system is wide in application and intelligent in design.

Description

Technical Field

[0001] The present invention relates to the field of smart cities, and in particular to a smart city big data management system. Background Art

[0003] Water transportation refers to transportation activities carried out on the water, including ships, yachts, fishing boats and other water transportation tools. Compared with land transportation, water transportation has greater risks and safety hazards, so water transportation safety knowledge and management and regulation are very important. In addition, in terms of transportation space and transportation methods, the so-called water transportation, in addition to the long-distance shipping that is usually familiar to ships, should also include military transportation across rivers by building floating bridges and ferry crossings.

[0004] Navigation marks are important traffic signs on water surface. However, due to the complexity and variability of the sea environment and the instability of navigation mark installation, the navigation mark may be missing in the corresponding sea area and cannot play its marking role. At the same time, due to the large number of navigation marks in the water surface traffic environment, it is obviously not realistic to use manual mode to continuously monitor them one by one. Summary of the invention

[0005] In order to solve the technical problems in related fields, the present invention provides a smart city big data management system, which can use a wireless return transmission component arranged in the control console of an unmanned aerial vehicle on the basis of a customized visual detection mechanism, and is used to wirelessly return a navigation mark replacement request to a surface traffic management server when a navigation mark target detection failure signal is received. The navigation mark replacement request includes the positioning position corresponding to the set navigation mark and the navigation mark type identification of the set navigation mark, thereby realizing intelligent management of navigation marks in various locations.

[0006] According to the present invention, a smart city big data management system is provided, the system comprising: The traffic monitoring mechanism is arranged on the unmanned aerial vehicle and is used to complete the aerial photography processing of the water surface traffic scene at the bottom of the unmanned aerial vehicle when the unmanned aerial vehicle reaches the position corresponding to the set navigation mark, so as to obtain the corresponding traffic scene image; A content enrichment device, disposed in a control console of the unmanned aerial vehicle and connected to the traffic monitoring mechanism, for performing bilinear interpolation processing on the received traffic scene image to obtain and output a corresponding content processed image; a signal enhancement device, connected to the content enrichment device, configured to perform image spatial domain enhancement processing on the received content processed image to obtain and output a corresponding spatial domain enhanced image; An image rendering device, connected to the signal enhancement device, for performing image rendering processing on the received spatial domain enhancement image to obtain and output a corresponding current rendered image; A target judgment component is arranged in the control console of the unmanned aerial vehicle and connected to the image rendering device, and is used to judge an image area matching the set navigation mark shape imaging feature from the current rendering image according to the set navigation mark shape imaging feature as the image area to be analyzed, detect each background pixel point from the current rendering image based on the gray value range corresponding to the background, calculate the number of background pixel points existing in the image area to be analyzed, and send a target detection failure signal when the number of background pixel points exceeds or equals to the set number limit, and is also used to send a target detection success signal when the number of background pixel points is less than the set number limit; A wireless return component is arranged in the control console of the unmanned aerial vehicle and connected to the target judgment component, and is used to wirelessly return a navigation mark replacement request to the surface traffic management server upon receiving the target detection failure signal, wherein the navigation mark replacement request includes a positioning position corresponding to the set navigation mark and a navigation mark type identifier of the set navigation mark; Wherein, the wireless return component is also used to wirelessly return the navigation mark identification signal to the surface traffic management server upon receiving the target detection success signal; Among them, according to the set navigation mark shape imaging feature, an image area matching the set navigation mark shape imaging feature is judged from the current rendered image as the image area to be analyzed, each background pixel is detected from the current rendered image based on the grayscale value range corresponding to the background, and the number of background pixel points existing in the image area to be analyzed is calculated, including: the set navigation mark shape imaging feature is a reference pattern obtained by photographing the set navigation mark from a bird's-eye view and only includes the set navigation mark.

[0007] Therefore, the present invention has the following three outstanding technical effects: First, according to the set beacon shape imaging feature, an image area matching the set beacon shape imaging feature is determined from the current rendered image as the image area to be analyzed, each background pixel is detected from the current rendered image based on the grayscale value range corresponding to the background, the number of background pixel points existing in the image area to be analyzed is calculated, and when the number of background pixel points exceeds or equals to the set number limit, a target detection failure signal is issued, and when the number of background pixel points is less than the set number limit, a target detection success signal is issued; Second: using a wireless return transmission component disposed in the control console of the unmanned aerial vehicle to wirelessly return a navigation mark replacement request to the surface traffic management server upon receiving a target detection failure signal, wherein the navigation mark replacement request includes a positioning position corresponding to the set navigation mark and a navigation mark type identifier of the set navigation mark, thereby realizing intelligent management of navigation marks at various locations; Third: when judging the image area matching the set beacon shape imaging features from the current rendered image according to the set beacon shape imaging features as the image area to be analyzed, the set beacon shape imaging features used are the reference patterns obtained by photographing the set beacon from a bird's-eye view and only including the set beacon.

[0008] The smart city big data management system of the present invention has wide applications and intelligent design. Based on the customized visual detection mechanism, the wireless return component arranged in the control console of the unmanned aerial vehicle is used to wirelessly return the request for setting up a navigation mark to the surface traffic management server when receiving a navigation mark target detection failure signal, thereby realizing intelligent management of navigation marks at various locations. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] The embodiments of the present invention will be described below with reference to the accompanying drawings, wherein:

[0010] Figure 1 The figure is a structural block diagram of a smart city big data management system according to the first embodiment of the present invention.

[0011] Figure 2 The figure is a structural block diagram of a smart city big data management system according to the second embodiment of the present invention.

[0012] Figure 3 The figure is a structural block diagram of a smart city big data management system according to the third embodiment of the present invention. DETAILED DESCRIPTION

[0013] The following is a detailed description of an embodiment of the smart city big data management system of the present invention with reference to the accompanying drawings.

[0014] Figure 1 The structure block diagram of the smart city big data management system according to the first embodiment of the present invention is shown, and the system includes: The traffic monitoring mechanism is arranged on the unmanned aerial vehicle and is used to complete the aerial photography processing of the water surface traffic scene at the bottom of the unmanned aerial vehicle when the unmanned aerial vehicle reaches the position corresponding to the set navigation mark, so as to obtain the corresponding traffic scene image; For example, the traffic monitoring mechanism can be implemented by jointly using an aerial photography operation mechanism and a real-time positioning mechanism, and is used to complete the aerial photography processing of the water surface traffic scene at the bottom of the unmanned aerial vehicle when the unmanned aerial vehicle reaches the positioning position corresponding to the set navigation mark, so as to obtain the corresponding traffic scene image; A content enrichment device, disposed in a control console of the unmanned aerial vehicle and connected to the traffic monitoring mechanism, for performing bilinear interpolation processing on the received traffic scene image to obtain and output a corresponding content processed image; a signal enhancement device, connected to the content enrichment device, configured to perform image spatial domain enhancement processing on the received content processed image to obtain and output a corresponding spatial domain enhanced image; An image rendering device, connected to the signal enhancement device, for performing image rendering processing on the received spatial domain enhancement image to obtain and output a corresponding current rendered image; A target judgment component is arranged in the control console of the unmanned aerial vehicle and connected to the image rendering device, and is used to judge an image area matching the set navigation mark shape imaging feature from the current rendering image according to the set navigation mark shape imaging feature as the image area to be analyzed, detect each background pixel point from the current rendering image based on the gray value range corresponding to the background, calculate the number of background pixel points existing in the image area to be analyzed, and send a target detection failure signal when the number of background pixel points exceeds or equals to the set number limit, and is also used to send a target detection success signal when the number of background pixel points is less than the set number limit; A wireless return component is arranged in the control console of the unmanned aerial vehicle and connected to the target judgment component, and is used to wirelessly return a navigation mark replacement request to the surface traffic management server upon receiving the target detection failure signal, wherein the navigation mark replacement request includes a positioning position corresponding to the set navigation mark and a navigation mark type identifier of the set navigation mark; Wherein, the wireless return component is also used to wirelessly return the navigation mark identification signal to the surface traffic management server upon receiving the target detection success signal; Among them, judging an image area matching the set navigation mark shape imaging feature from the current rendered image according to the set navigation mark shape imaging feature as the image area to be analyzed, detecting each background pixel from the current rendered image based on the grayscale value range corresponding to the background, and calculating the number of background pixel points existing in the image area to be analyzed includes: the set navigation mark shape imaging feature is a reference pattern obtained by photographing the set navigation mark from a bird's-eye view and only including the set navigation mark; Among them, the traffic monitoring mechanism is arranged on the unmanned aerial vehicle, and is used for completing the aerial photography processing of the water surface traffic scene at the bottom of the unmanned aerial vehicle when the unmanned aerial vehicle reaches the positioning position corresponding to the set navigation mark, so as to obtain the corresponding traffic scene image, including: the unmanned aerial vehicle has a built-in positioning device, and the unmanned aerial vehicle is used to trigger a single aerial photography processing of the traffic monitoring mechanism when the positioning information of the positioning device matches the positioning position corresponding to the set navigation mark.

[0015] Figure 2 The figure is a structural block diagram of a smart city big data management system according to the second embodiment of the present invention.

[0016] Compared to Figure 1 , Figure 2 The smart city big data management system can also include: The touch screen is used to receive user input information for the content enrichment device, the signal enhancement device, the image rendering device and the target judgment component according to the user's operation.

[0017] Figure 3 The structure block diagram of the smart city big data management system according to the third embodiment of the present invention is shown.

[0018] Compared to Figure 1 , Figure 3 The smart city big data management system can also include: A pressure detection device, arranged on the housing of the content enriching device, the signal enhancing device, the image rendering device and the target judging component, and used to measure the instantaneous pressure currently borne by the housing of any of the content enriching device, the signal enhancing device, the image rendering device and the target judging component; Wherein, the pressure detection device is arranged on the housing of the content enriching device, the signal enhancing device, the image rendering device and the target judging component, and is used to measure the instantaneous pressure currently borne by the housing of any of the content enriching device, the signal enhancing device, the image rendering device and the target judging component, including: the pressure detection device has a built-in pressure analysis device, which is used to issue a pressure alarm instruction when the received instantaneous pressure currently borne by the housing of any of the content enriching device, the signal enhancing device, the image rendering device and the target judging component exceeds the limit; Wherein, the pressure detection device is arranged on the housing of the content enriching device, the signal enhancing device, the image rendering device and the target judging component, and is used to measure the instantaneous pressure currently borne by the housing of any device of the content enriching device, the signal enhancing device, the image rendering device and the target judging component, and further includes: the pressure detection device has a built-in pressure analysis device, which is used to issue a pressure safety instruction when the instantaneous pressure currently borne by the housing of each device of the content enriching device, the signal enhancing device, the image rendering device and the target judging component is within the limit; The pressure detection device is arranged on the housing of the content enriching device, the signal enhancing device, the image rendering device and the target judging component, and is used to measure the instantaneous pressure currently borne by the housing of any of the content enriching device, the signal enhancing device, the image rendering device and the target judging component. The pressure detection device also includes: the pressure detection device uses a plurality of pressure detection units, which are used to respectively measure the instantaneous pressure currently borne by the housing of the content enriching device, the signal enhancing device, the image rendering device and the target judging component; Wherein, the pressure detection device uses a plurality of pressure detection units for respectively measuring the instantaneous pressure currently borne by the housings of the content enrichment device, the signal enhancement device, the image rendering device and the target judgment component, including: the internal structures of the plurality of pressure detection units are the same; The pressure detection device uses a plurality of pressure detection units for respectively measuring the instantaneous pressure currently borne by the housing of the content enrichment device, the signal enhancement device, the image rendering device and the target judgment component, and further comprises: the pressure measurement upper limit value and the pressure measurement lower limit value of the plurality of pressure detection units are respectively equal; The pressure measurement upper limit values ​​and the pressure measurement lower limit values ​​of the plurality of pressure detection units being equal respectively include: the pressure measurement upper limit value is greater than the pressure measurement lower limit value; And wherein, the pressure detection device adopts multiple pressure detection units for respectively measuring the instantaneous pressure currently borne by the outer shells of the content enriching device, the signal enhancing device, the image rendering device and the target judgment component, and also includes: the multiple pressure detection units are respectively installed at the bottom position of the top of the outer shells of the content enriching device, the signal enhancing device, the image rendering device and the target judgment component and are located in the center of the bottom.

[0019] In addition, in the smart city big data management system, the unmanned aerial vehicle has a built-in positioning device, and the unmanned aerial vehicle is used to trigger a single aerial photography processing of the traffic monitoring agency when the positioning information of the positioning device matches the positioning position corresponding to the set navigation mark, including: the positioning device is based on the Galileo navigation mode or the Beidou navigation mode.

[0020] In the description of this specification, reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention.

[0021] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features.

[0022] Although the present invention has been disclosed as above by the embodiments, it is not intended to limit the present invention. Any person skilled in the art can make appropriate changes and equivalent substitutions without departing from the spirit and scope of the present invention. Therefore, the protection scope of the present invention shall be based on the scope defined by the claims of this application.

Claims

1. A smart city big data management system, characterized in that: The system comprises: The traffic monitoring mechanism is arranged on the unmanned aerial vehicle and is used to complete the aerial photography processing of the water surface traffic scene at the bottom of the unmanned aerial vehicle when the unmanned aerial vehicle reaches the position corresponding to the set navigation mark, so as to obtain the corresponding traffic scene image; A content enrichment device, disposed in a control console of the unmanned aerial vehicle and connected to the traffic monitoring mechanism, for performing bilinear interpolation processing on the received traffic scene image to obtain and output a corresponding content processed image; a signal enhancement device, connected to the content enrichment device, configured to perform image spatial domain enhancement processing on the received content processed image to obtain and output a corresponding spatial domain enhanced image; An image rendering device, connected to the signal enhancement device, for performing image rendering processing on the received spatial domain enhancement image to obtain and output a corresponding current rendered image; A target judgment component is arranged in the control console of the unmanned aerial vehicle and connected to the image rendering device, and is used to judge an image area matching the set navigation mark shape imaging feature from the current rendering image according to the set navigation mark shape imaging feature as the image area to be analyzed, detect each background pixel point from the current rendering image based on the gray value range corresponding to the background, calculate the number of background pixel points existing in the image area to be analyzed, and send a target detection failure signal when the number of background pixel points exceeds or equals to the set number limit, and is also used to send a target detection success signal when the number of background pixel points is less than the set number limit; A wireless return component is arranged in the control console of the unmanned aerial vehicle and connected to the target judgment component, and is used to wirelessly return a navigation mark replacement request to the surface traffic management server upon receiving the target detection failure signal, wherein the navigation mark replacement request includes a positioning position corresponding to the set navigation mark and a navigation mark type identifier of the set navigation mark; Wherein, the wireless return component is also used to wirelessly return the navigation mark identification signal to the surface traffic management server upon receiving the target detection success signal; Among them, according to the set navigation mark shape imaging feature, an image area matching the set navigation mark shape imaging feature is judged from the current rendered image as the image area to be analyzed, each background pixel is detected from the current rendered image based on the grayscale value range corresponding to the background, and the number of background pixel points existing in the image area to be analyzed is calculated, including: the set navigation mark shape imaging feature is a reference pattern obtained by photographing the set navigation mark from a bird's-eye view and only includes the set navigation mark.

2. The smart city big data management system according to claim 1, characterized in that: A traffic monitoring mechanism is arranged on an unmanned aerial vehicle and is used for completing the aerial photography processing of the water surface traffic scene at the bottom of the unmanned aerial vehicle when the unmanned aerial vehicle reaches directly above the positioning position corresponding to the set navigation mark, so as to obtain the corresponding traffic scene image. The unmanned aerial vehicle includes: a built-in positioning device in the unmanned aerial vehicle, and the unmanned aerial vehicle is used for triggering a single aerial photography processing of the traffic monitoring mechanism when the positioning information of the positioning device matches the positioning position corresponding to the set navigation mark.

3. The smart city big data management system according to claim 2, characterized in that: The system further comprises: The touch screen is used to receive user input information for the content enrichment device, the signal enhancement device, the image rendering device and the target judgment component according to the user's operation.

4. The smart city big data management system according to claim 2, characterized in that: The system further comprises: The pressure detection device is arranged on the outer shell of the content enriching device, the signal enhancing device, the image rendering device and the target judging component, and is used to measure the instantaneous pressure currently borne by the outer shell of any one of the content enriching device, the signal enhancing device, the image rendering device and the target judging component.

5. The smart city big data management system according to claim 4, characterized in that: The pressure detection device is arranged on the outer shell of the content enriching device, the signal enhancing device, the image rendering device and the target judgment component, and is used to measure the instantaneous pressure currently borne by the outer shell of any one of the content enriching device, the signal enhancing device, the image rendering device and the target judgment component, including: the pressure detection device has a built-in pressure analysis device, which is used to issue a pressure alarm instruction when the received instantaneous pressure currently borne by the outer shell of any one of the content enriching device, the signal enhancing device, the image rendering device and the target judgment component exceeds the limit.

6. The smart city big data management system according to claim 5, characterized in that: The pressure detection device is arranged on the outer shell of the content enriching device, the signal enhancing device, the image rendering device and the target judgment component, and is used to measure the instantaneous pressure currently borne by the outer shell of any one of the content enriching device, the signal enhancing device, the image rendering device and the target judgment component. It also includes: the pressure detection device has a built-in pressure analysis device, which is used to issue a pressure safety instruction when the received instantaneous pressure currently borne by the outer shell of each device of the content enriching device, the signal enhancing device, the image rendering device and the target judgment component is within the limit.

7. The smart city big data management system according to claim 6, characterized in that: A pressure detection device is arranged on the outer shell of the content enriching device, the signal enhancing device, the image rendering device and the target judgment component, and is used to measure the instantaneous pressure currently borne by the outer shell of any one of the content enriching device, the signal enhancing device, the image rendering device and the target judgment component. The pressure detection device also includes: the pressure detection device adopts multiple pressure detection units, which are used to respectively measure the instantaneous pressure currently borne by the outer shell of the content enriching device, the signal enhancing device, the image rendering device and the target judgment component.

8. The smart city big data management system according to claim 7, characterized in that: The pressure detection device uses multiple pressure detection units to respectively measure the instantaneous pressure currently borne by the shells of the content enrichment device, the signal enhancement device, the image rendering device and the target judgment component, including: the internal structures of the multiple pressure detection units are the same.

9. The smart city big data management system according to claim 8, characterized in that: The pressure detection device uses a plurality of pressure detection units for respectively measuring the instantaneous pressure currently borne by the housings of the content enrichment device, the signal enhancement device, the image rendering device and the target judgment component, and further includes: the pressure measurement upper limit values ​​and the pressure measurement lower limit values ​​of the plurality of pressure detection units are respectively equal; The pressure measurement upper limit values ​​and the pressure measurement lower limit values ​​of the plurality of pressure detection units being equal respectively include: the pressure measurement upper limit value is greater than the pressure measurement lower limit value; Among them, the pressure detection device adopts multiple pressure detection units for respectively measuring the instantaneous pressure currently borne by the outer shells of the content enriching device, the signal enhancing device, the image rendering device and the target judgment component, and also includes: the multiple pressure detection units are respectively installed at the bottom position of the top of the outer shells of the content enriching device, the signal enhancing device, the image rendering device and the target judgment component and are located in the center of the bottom.

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