Smart City Early Warning System

Abstract

The present invention relates to a smart city early warning system, comprising an enabling control mechanism, a landing recording mechanism, a multiple optimization mechanism, a first analysis device, a second analysis device and an early warning execution device. The present invention can reduce the malfunction of the early warning system in smart city management and reduce the energy consumption of the early warning system as much as possible.

Description

Technical Field

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

[0002] The scope of smart city management involves all aspects, including land, sea and air. At present, with the development of drone technology, smart city airspace management faces new challenges, and new technologies are needed to solve the impact that drones may cause.

[0003] Image analysis, also known as scene analysis or image understanding, generally uses mathematical models combined with image processing technology to analyze the underlying features and upper structures, thereby extracting information with a certain degree of intelligence. Image analysis generally uses mathematical models combined with image processing technology to analyze the underlying features and upper structures, thereby extracting information with a certain degree of intelligence.

[0004] Image analysis usually refers to the technology of analyzing, describing, classifying and interpreting objects and scenes by using pattern recognition and artificial intelligence methods, also known as scene analysis or image understanding. So far, there have been many research results in image analysis, which has gradually developed from image analysis technology for specific problems and applications to the direction of establishing general theories. Image analysis is closely related to the research contents of image processing, computer graphics, etc., and they overlap with each other. However, image processing mainly studies image transmission, storage, enhancement and restoration; computer graphics mainly studies the representation methods of points, lines, surfaces and bodies and the display methods of visual information; image analysis focuses on the description method of constructing images, and more often represents various images with symbols, rather than operating on the image itself, and using various related knowledge for reasoning. Image analysis is also closely related to the research on human vision. The research on certain recognizable modules in the human visual mechanism can promote the improvement of computer vision capabilities.

[0005] Image analysis can be applied to various specific fields, such as safety monitoring of civil aircraft during flight, visual image collection of the flight environment of civil aircraft, and relative status of civil aircraft and drones corresponding to suspected invasion of the body of civil aircraft based on the collected visual images. However, the existing technology lacks a visual analysis mechanism for detecting the above relative status, resulting in the inability to effectively guarantee the flight safety of civil aviation flights. Summary of the invention

[0006] In order to solve the technical problems in the prior art, the present invention provides a smart city early warning system, which can refer to the early warning execution equipment set in the control room of the flight control tower, and is used to execute the broadcast of the invasion warning signal corresponding to the drone invading the body of the civil aircraft when it is visually judged that the civil aircraft and the drone overlap. Otherwise, the broadcast of the invasion warning signal corresponding to the drone invading the body of the civil aircraft is stopped, thereby ensuring the accuracy of the early warning while minimizing the malfunction of the early warning system and reducing the energy consumption of the early warning system.

[0007] According to the present invention, a smart city early warning system is provided, the system comprising:

[0008] The enabling control mechanism is arranged in the control room of the flight control tower, and is used to enable the take-off and landing video recording mechanism connected to the enabling control mechanism when the current time is within the aircraft take-off and landing time interval, and is also used to disable the take-off and landing video recording mechanism connected to the enabling control mechanism when the current time is outside the aircraft take-off and landing time interval;

[0009] The take-off and landing video recording mechanism is set at the flight control tower and is used to perform directional shooting operations facing the aircraft take-off and landing area to obtain and output corresponding take-off and landing scene images;

[0010] A multiple optimization mechanism, comprising a front-end optimization device, a mid-end optimization device and a terminal optimization device, wherein the mid-end optimization device is connected to the front-end optimization device and the terminal optimization device respectively, and the front-end optimization device is also connected to the take-off and landing recording mechanism, and is used to perform a sharpening process based on a Kirsch operator on the received take-off and landing scene image to obtain and output a corresponding front-end optimized image, the mid-end optimization device is also used to perform a harmonic mean filtering process on the received front-end optimized image to obtain and output a corresponding harmonic mean filtered image, and the terminal optimization device is used to perform a bilinear interpolation process on the received harmonic mean filtered image to obtain and output a corresponding multiple optimized image;

[0011] A first analysis device is arranged in a control room of a flight control tower and connected to the multiple optimization mechanism, and is used to identify the closed block where the civil aircraft is located in the received multiple optimization image based on the color imaging features of the civil aircraft, and to identify the closed block where the drone is located in the received multiple optimization image based on the color imaging features of the drone;

[0012] A second parsing device is connected to the first parsing device, and is used to issue an overlap unparsed instruction when the number of pixels occupied by the closed block where the civil aircraft is located and the closed block where the drone is located in the multiple optimized images is equal to the sum of the number of pixels occupied by the closed block where the civil aircraft is located alone in the multiple optimized images and the number of pixels occupied by the closed block where the drone is located alone in the multiple optimized images, and is also used to issue an overlap parsing instruction when the number of pixels occupied by the closed block where the civil aircraft is located and the closed block where the drone is located in the multiple optimized images is less than the sum of the number of pixels occupied by the closed block where the civil aircraft is located alone in the multiple optimized images and the number of pixels occupied by the closed block where the drone is located alone in the multiple optimized images;

[0013] The early warning execution device is arranged in the control room of the flight control tower and is connected to the second analysis device, and is used to execute the broadcast of the invasion early warning signal corresponding to the drone invading the body of the civil aircraft when receiving the overlapping analysis instruction.

[0014] It can be seen that the present invention has at least the following two main inventive concepts:

[0015] First, we use targeted visual recognition mechanisms and targeted overlap judgment mechanisms to effectively judge whether civil aircraft and drones overlap. The pixel-based judgment mode improves the judgment accuracy of the scene.

[0016] Second: Use the early warning execution equipment installed in the control room of the flight control tower to execute the broadcast of the invasion warning signal corresponding to the drone invading the body of the civil aircraft when visually judging that the civil aircraft and the drone overlap. Otherwise, stop executing the broadcast of the invasion warning signal corresponding to the drone invading the body of the civil aircraft, so as to minimize the false operation of the early warning system and reduce the energy consumption of the early warning system while ensuring the accuracy of the early warning. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The embodiments of the present invention will be described below with reference to the accompanying drawings, wherein:

[0018] Figure 1 It is a structural block diagram of a smart city early warning system according to the primary embodiment of the present invention.

[0019] Figure 2 It is a structural block diagram of a smart city early warning system according to a secondary embodiment of the present invention.

[0020] Figure 3 The present invention is a structural block diagram of a smart city early warning system according to another embodiment of the present invention. DETAILED DESCRIPTION

[0021] The embodiments of the smart city early warning system of the present invention will be described in detail below with reference to the accompanying drawings.

[0022] Figure 1 FIG. 1 is a structural block diagram of a smart city early warning system according to a primary embodiment of the present invention, wherein the system comprises:

[0023] The enabling control mechanism is arranged in the control room of the flight control tower, and is used to enable the take-off and landing video recording mechanism connected to the enabling control mechanism when the current time is within the aircraft take-off and landing time interval, and is also used to disable the take-off and landing video recording mechanism connected to the enabling control mechanism when the current time is outside the aircraft take-off and landing time interval;

[0024] For example, the enabling control mechanism may include a time monitoring unit and an enabling triggering unit, wherein the enabling triggering unit is connected to the time monitoring unit, and the time monitoring unit is used to monitor whether the current time is within the aircraft take-off and landing time interval;

[0025] The take-off and landing video recording mechanism is set at the flight control tower and is used to perform directional shooting operations facing the aircraft take-off and landing area to obtain and output corresponding take-off and landing scene images;

[0026] A multiple optimization mechanism, comprising a front-end optimization device, a mid-end optimization device and a terminal optimization device, wherein the mid-end optimization device is connected to the front-end optimization device and the terminal optimization device respectively, and the front-end optimization device is also connected to the take-off and landing recording mechanism, and is used to perform a sharpening process based on a Kirsch operator on the received take-off and landing scene image to obtain and output a corresponding front-end optimized image, the mid-end optimization device is also used to perform a harmonic mean filtering process on the received front-end optimized image to obtain and output a corresponding harmonic mean filtered image, and the terminal optimization device is used to perform a bilinear interpolation process on the received harmonic mean filtered image to obtain and output a corresponding multiple optimized image;

[0027] A first analysis device is arranged in a control room of a flight control tower and connected to the multiple optimization mechanism, and is used to identify the closed block where the civil aircraft is located in the received multiple optimization image based on the color imaging features of the civil aircraft, and to identify the closed block where the drone is located in the received multiple optimization image based on the color imaging features of the drone;

[0028] A second parsing device is connected to the first parsing device, and is used to issue an overlap unparsed instruction when the number of pixels occupied by the closed block where the civil aircraft is located and the closed block where the drone is located in the multiple optimized images is equal to the sum of the number of pixels occupied by the closed block where the civil aircraft is located alone in the multiple optimized images and the number of pixels occupied by the closed block where the drone is located alone in the multiple optimized images, and is also used to issue an overlap parsing instruction when the number of pixels occupied by the closed block where the civil aircraft is located and the closed block where the drone is located in the multiple optimized images is less than the sum of the number of pixels occupied by the closed block where the civil aircraft is located alone in the multiple optimized images and the number of pixels occupied by the closed block where the drone is located alone in the multiple optimized images;

[0029] An early warning execution device is arranged in the control room of the flight control tower and is connected to the second analysis device, and is used to execute the broadcast of the invasion early warning signal corresponding to the drone invading the body of the civil aircraft when receiving the overlapping analysis instruction;

[0030] The warning execution device is further configured to stop broadcasting the invasion warning signal corresponding to the drone invading the body of a civil aircraft when receiving the overlapping unresolved instruction.

[0031] Figure 2 It is a structural block diagram of a smart city early warning system according to a secondary embodiment of the present invention.

[0032] Compared to Figure 1 , Figure 2 The smart city early warning system in the system can also include:

[0033] The touch screen is used to receive user input information for the front-end optimization device, the mid-end optimization device and the terminal optimization device respectively according to the user's operation.

[0034] Figure 3 The present invention is a structural block diagram of a smart city early warning system according to another embodiment of the present invention.

[0035] Compared to Figure 1 , Figure 3 The smart city early warning system in the system can also include:

[0036] A pressure detection device, arranged on the housings of the front-end optimization device, the mid-end optimization device and the terminal optimization device, and used to measure the instantaneous pressure currently borne by the housing of any of the front-end optimization device, the mid-end optimization device and the terminal optimization device;

[0037] Wherein, the pressure detection device is arranged on the housing of the front-end optimization device, the mid-end optimization device and the terminal optimization device, and is used to measure the instantaneous pressure currently borne by the housing of any of the front-end optimization device, the mid-end optimization device and the terminal optimization device, 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 front-end optimization device, the mid-end optimization device and the terminal optimization device exceeds the limit;

[0038] Wherein, the pressure detection device is arranged on the housing of the front-end optimization device, the mid-end optimization device and the terminal optimization device, and is used to measure the instantaneous pressure currently borne by the housing of any of the front-end optimization device, the mid-end optimization device and the terminal optimization device, 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 of the front-end optimization device, the mid-end optimization device and the terminal optimization device is within the limit;

[0039] Wherein, the pressure detection device is arranged on the housing of the front-end optimization device, the mid-end optimization device and the terminal optimization device, and is used to measure the instantaneous pressure currently borne by the housing of any of the front-end optimization device, the mid-end optimization device and the terminal optimization device, and further comprises: the pressure detection device adopts a plurality of pressure detection units, and is used to respectively measure the instantaneous pressure currently borne by the housing of the front-end optimization device, the mid-end optimization device and the terminal optimization device;

[0040] The pressure detection device uses a plurality of pressure detection units for respectively measuring the instantaneous pressure currently borne by the shells of the front-end optimization device, the mid-end optimization device and the terminal optimization device, including: the internal structures of the plurality of pressure detection units are the same;

[0041] The pressure detection device uses a plurality of pressure detection units for respectively measuring the instantaneous pressure currently borne by the shells of the front-end optimization device, the mid-end optimization device and the terminal optimization device, and further comprises: the pressure measurement upper limit values ​​and the pressure measurement lower limit values ​​of the plurality of pressure detection units are respectively equal;

[0042] 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;

[0043] 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 front-end optimization device, the mid-end optimization device and the terminal optimization device, and also includes: the multiple pressure detection units are respectively installed at the bottom position of the top of the outer shells of the front-end optimization device, the mid-end optimization device and the terminal optimization device and are located in the center of the bottom.

[0044] In addition, in the smart city early warning system, when the number of pixels occupied by the closed block where the civil aircraft is located and the closed block where the drone is located in the multiple optimized images is equal to the sum of the number of pixels occupied by the closed block where the civil aircraft is located alone in the multiple optimized images and the number of pixels occupied by the closed block where the drone is located alone in the multiple optimized images, an overlap unresolved instruction is issued. It is also used for issuing an overlap resolution instruction when the number of pixels occupied by the closed block where the civil aircraft is located and the closed block where the drone is located in the multiple optimized images is less than the sum of the number of pixels occupied by the closed block where the civil aircraft is located alone in the multiple optimized images and the number of pixels occupied by the closed block where the drone is located alone in the multiple optimized images, including: performing recognition of the closed block where the civil aircraft is located and the closed block where the drone is located in the multiple optimized images based on the standard shape pattern of the civil aircraft and the standard shape pattern of the drone, respectively.

[0045] And wherein, the recognition of the closed blocks where the civil aircraft is located and the closed blocks where the drone is located in the multiple optimized images is performed based on the standard shape pattern of the civil aircraft and the standard shape pattern of the drone, respectively, including: there is more than one frame of the standard shape pattern of the civil aircraft and more than one frame of the standard shape pattern of the drone.

[0046] The smart city early warning system of the present invention can solve the technical problem that the relative states of civil aircraft and drones are difficult to accurately analyze in the prior art. When it is visually determined that the civil aircraft and the drone overlap, the system can broadcast an invasion warning signal corresponding to the drone invading the body of the civil aircraft. Otherwise, the broadcast of the invasion warning signal is stopped, thereby minimizing the malfunction of the early warning system and reducing the energy consumption of the early warning system while ensuring the accuracy of the early warning.

[0047] Although preferred embodiments of the present invention have been described in detail above, it will be appreciated that numerous variations and / or modifications to the basic inventive concepts taught herein will be apparent to those skilled in the art and fall within the spirit and scope of the invention as defined by the appended claims.

Claims

1. A smart city early warning system, characterized in that: The system comprises: The enabling control mechanism is arranged in the control room of the flight control tower, and is used to enable the take-off and landing video recording mechanism connected to the enabling control mechanism when the current time is within the aircraft take-off and landing time interval, and is also used to disable the take-off and landing video recording mechanism connected to the enabling control mechanism when the current time is outside the aircraft take-off and landing time interval; The take-off and landing video recording mechanism is set at the flight control tower and is used to perform directional shooting operations facing the aircraft take-off and landing area to obtain and output corresponding take-off and landing scene images; A multiple optimization mechanism, comprising a front-end optimization device, a mid-end optimization device and a terminal optimization device, wherein the mid-end optimization device is connected to the front-end optimization device and the terminal optimization device respectively, and the front-end optimization device is also connected to the take-off and landing recording mechanism, and is used to perform a sharpening process based on a Kirsch operator on the received take-off and landing scene image to obtain and output a corresponding front-end optimized image, the mid-end optimization device is also used to perform a harmonic mean filtering process on the received front-end optimized image to obtain and output a corresponding harmonic mean filtered image, and the terminal optimization device is used to perform a bilinear interpolation process on the received harmonic mean filtered image to obtain and output a corresponding multiple optimized image; A first analysis device is arranged in a control room of a flight control tower and connected to the multiple optimization mechanism, and is used to identify the closed block where the civil aircraft is located in the received multiple optimization image based on the color imaging features of the civil aircraft, and to identify the closed block where the drone is located in the received multiple optimization image based on the color imaging features of the drone; A second parsing device is connected to the first parsing device, and is used to issue an overlap unparsed instruction when the number of pixels occupied by the closed block where the civil aircraft is located and the closed block where the drone is located in the multiple optimized images is equal to the sum of the number of pixels occupied by the closed block where the civil aircraft is located alone in the multiple optimized images and the number of pixels occupied by the closed block where the drone is located alone in the multiple optimized images, and is also used to issue an overlap parsing instruction when the number of pixels occupied by the closed block where the civil aircraft is located and the closed block where the drone is located in the multiple optimized images is less than the sum of the number of pixels occupied by the closed block where the civil aircraft is located alone in the multiple optimized images and the number of pixels occupied by the closed block where the drone is located alone in the multiple optimized images; The early warning execution device is arranged in the control room of the flight control tower and is connected to the second analysis device, and is used to execute the broadcast of the invasion early warning signal corresponding to the drone invading the body of the civil aircraft when receiving the overlapping analysis instruction.

2. The smart city early warning system according to claim 1, characterized in that: The warning execution device is also used to stop broadcasting the invasion warning signal corresponding to the drone invading the body of the civil aircraft when receiving the overlapping unresolved instruction.

3. The smart city early warning system as claimed in claim 2, characterized in that: The system further comprises: The touch screen is used to receive user input information for the front-end optimization device, the mid-end optimization device and the terminal optimization device respectively according to the user's operation.

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