Edge computing based terrestrial assisted detection method

Abstract

The application provides a land-assisted detection method based on edge computing, which analyzes remote sensing satellite images to determine the presence state of abnormal flying objects, thereby instructing a distributed camera system and a distributed weather sensor system to perform corresponding camera shooting and weather data collection, and according to the flight state of the abnormal flying objects, a mobile terminal of a specific person is alarmed, so that real-time reminding is performed on the corresponding person in an all-round way, and the real-time performance and reliability of the land air defense alarm are improved.

Description

Technical Field

[0001] This invention relates to the technical field of land defense and protection, and in particular to a land-assisted detection method based on edge computing. Background Technology

[0002] Existing land-based air defense systems rely on a combination of remote sensing satellites and ground sensors to transmit detected data to backend servers for analysis and processing. This process determines whether a land area is under potential attack threat and then feeds the results back to the corresponding land-based defense equipment. This method primarily targets land-based defense equipment and cannot guarantee the timely evacuation of personnel from the affected land area. Furthermore, the data analysis and feedback process inevitably involves some time delay, reducing the real-time performance and reliability of land-based air defense alerts. Summary of the Invention

[0003] To address the shortcomings of existing technologies, this invention provides a land-based assisted detection method based on edge computing. This method deploys distributed camera systems and distributed weather sensor systems at different locations within a land area and connects them to an edge computing terminal. Based on the analysis of remote sensing satellite images of the land area, it determines whether abnormal flying objects (FOOs) exist in the airspace above the land area, thereby instructing the distributed camera systems and distributed weather sensor systems to operate. Furthermore, based on weather data of the land area, it adjusts the camera operation mode of the distributed camera systems for capturing aerial images and analyzes the aerial images to determine the flight status information of abnormal FOODS, thereby generating and sending alarm notification messages. This detection method, by analyzing remote sensing satellite images to determine the presence and status of abnormal FOODS, instructs the distributed camera systems and distributed weather sensor systems to perform corresponding camera work and weather data collection. Based on the flight status of the abnormal FOODS, it sends alarms to the mobile terminals of specific personnel, thus providing comprehensive real-time alerts to relevant personnel and improving the real-time performance and reliability of land-based air defense alarms.

[0004] This invention provides a land-assisted detection method based on edge computing, which includes the following steps;

[0005] Step S1: Set up a distributed camera system and a distributed weather sensing system at different locations in the land area, and connect the distributed camera system and the distributed weather sensing system to the edge computing terminal;

[0006] Step S2: The remote sensing satellite image corresponding to the land area is analyzed and processed by the edge computing terminal to determine whether there are any abnormal flying objects in the airspace above the land area; if there are abnormal flying objects, the distributed camera system and the distributed weather sensing system are instructed to enter the working state by the edge computing terminal.

[0007] Step S3: Instruct the distributed weather sensing system to collect weather data of the land area; based on the weather data, instruct the distributed camera system to enter the corresponding camera working mode and collect aerial images of the land area.

[0008] Step S4: The edge computing terminal analyzes and processes the aerial image to determine the flight status information of the abnormal flying object; based on the flight status information, a corresponding alarm notification message is generated and sent.

[0009] Furthermore, in step S1, setting up a distributed camera system and a distributed weather sensing system at different locations in the land area, and connecting the distributed camera system and the distributed weather sensing system to the edge computing terminal specifically includes:

[0010] Ground-to-air cameras are installed at different locations in the land area to form a distributed camera system; and rainfall sensors are installed at different locations in the land area to form a distributed weather sensing system.

[0011] All ground-to-air cameras and all rainfall sensors are connected to the edge computing terminal, enabling bidirectional interactive communication with the edge computing terminal.

[0012] Furthermore, in step S1, after connecting the distributed camera system and the distributed weather sensing system to the edge computing terminal, the method further includes:

[0013] The edge computing terminal sends an initialization command to each ground-to-air camera and each rain sensor; after the ground-to-air camera and the rain sensor receive the initialization command, they sequentially perform a cache data clearing operation and a restart operation.

[0014] Furthermore, in step S2, the analysis and processing of the remote sensing satellite image corresponding to the land area by the edge computing terminal to determine whether there are abnormal flying objects in the airspace above the land area specifically includes:

[0015] The edge computing terminal sends an image acquisition request to the remote sensing satellite terminal; the remote sensing satellite terminal extracts the remote sensing satellite image corresponding to the geographical coordinates of the land area from the real-time remote sensing satellite image based on the geographical coordinates of the land area contained in the image acquisition request, and sends the remote sensing satellite image to the edge computing terminal.

[0016] The edge computing terminal performs pixel contour recognition processing on the remote sensing satellite image to determine the shape contours of all flying objects in the airspace above the land area.

[0017] Based on the shape and outline of the flying object, determine whether the flying object is an abnormal flying object.

[0018] Furthermore, in step S2, if an abnormal flying object is present, the edge computing terminal instructs the distributed camera system and the distributed weather sensing system to enter the working state, specifically including:

[0019] If an abnormal flying object is detected, the edge computing terminal instructs all ground-to-air cameras in the distributed camera system to track and photograph the abnormal flying object, and instructs all rainfall sensors in the distributed weather sensing system to operate at a predetermined frequency.

[0020] Furthermore, in step S3, instructing the distributed weather sensing system to collect weather data of the land area, and based on the weather data, instructing the distributed camera system to enter the corresponding camera working mode and collect aerial images of the land area specifically includes:

[0021] The system instructs the distributed weather sensing system to collect rainfall data of the land area at a predetermined frequency, and analyzes and processes the rainfall data to determine the visibility value of the land area.

[0022] Based on the visibility value, the focal length or field of view of each ground-to-air camera in the distributed camera system is adjusted to acquire aerial images of the land area.

[0023] Furthermore, in step S4, the analysis and processing of the overhead image by the edge computing terminal to determine the flight status information of the abnormal flying object specifically includes:

[0024] The edge computing terminal analyzes and processes the aerial images to determine the flight path and altitude of the abnormal flying object over the land area.

[0025] Furthermore, in step S4, generating and sending corresponding alarm notification messages based on the flight status information specifically includes:

[0026] When the flight altitude of the abnormal flying object is less than or equal to a preset altitude threshold, an alarm notification message is sent via the edge computing terminal to the mobile terminals held by personnel in the ground area covered by the flight path of the abnormal flying object.

[0027] Compared to existing technologies, this edge computing-based land-assisted detection method deploys distributed camera systems and distributed weather sensor systems at different locations within a land area and connects them to edge computing terminals. Based on the analysis of remote sensing satellite images of the land area, it determines whether abnormal flying objects exist in the airspace above the land area, thereby instructing the distributed camera systems and distributed weather sensor systems to operate. Furthermore, based on weather data of the land area, it adjusts the camera operation mode of the distributed camera systems for capturing aerial images and analyzes the aerial images to determine the flight status information of abnormal flying objects, thereby generating and sending alarm notification messages. This detection method, by analyzing remote sensing satellite images to determine the presence and status of abnormal flying objects, instructs the distributed camera systems and distributed weather sensor systems to perform corresponding camera work and weather data collection. Based on the flight status of the abnormal flying objects, it sends alarms to the mobile terminals of specific personnel, thus providing comprehensive real-time alerts to relevant personnel and improving the real-time performance and reliability of land-based air defense alarms.

[0028] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description, claims, and drawings.

[0029] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0030] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0031] Figure 1 This is a schematic flowchart of the land-assisted detection method based on edge computing provided by the present invention. Detailed Implementation

[0032] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0033] See Figure 1This is a schematic flowchart of a land-assisted detection method based on edge computing provided in an embodiment of the present invention. The land-assisted detection method based on edge computing includes the following steps;

[0034] Step S1: Set up a distributed camera system and a distributed weather sensing system at different locations in the land area, and connect the distributed camera system and the distributed weather sensing system to the edge computing terminal.

[0035] Step S2: The edge computing terminal analyzes and processes the remote sensing satellite image corresponding to the land area to determine whether there are any abnormal flying objects in the airspace above the land area; if there are abnormal flying objects, the edge computing terminal instructs the distributed camera system and the distributed weather sensing system to enter the working state.

[0036] Step S3: Instruct the distributed weather sensing system to collect weather data for the land area; based on the weather data, instruct the distributed camera system to enter the corresponding camera working mode and collect aerial images of the land area.

[0037] Step S4: The edge computing terminal analyzes and processes the aerial image to determine the flight status information of the abnormal flying object; based on the flight status information, a corresponding alarm notification message is generated and sent.

[0038] The beneficial effects of the above technical solution are as follows: This land-assisted detection method based on edge computing sets up distributed camera systems and distributed weather sensor systems at different locations in the land area and connects them to edge computing terminals; based on the analysis results of remote sensing satellite images of the land area, it determines whether there are abnormal flying objects in the airspace above the land area, thereby instructing the distributed camera systems and distributed weather sensor systems to operate; furthermore, based on the weather data of the land area, it changes the camera operation mode of the distributed camera systems for the aerial images, and analyzes the aerial images to determine the flight status information of abnormal flying objects, thereby generating and sending alarm notification messages; the above detection method determines the existence status of abnormal flying objects by analyzing remote sensing satellite images, thereby instructing the distributed camera systems and distributed weather sensor systems to perform corresponding camera and weather data collection, and alarms are sent to the mobile terminals of specific personnel based on the flight status of abnormal flying objects, thereby providing comprehensive real-time reminders to relevant personnel and improving the real-time performance and reliability of land air defense alarms.

[0039] Preferably, in step S1, setting up a distributed camera system and a distributed weather sensing system at different locations in the land area, and connecting the distributed camera system and the distributed weather sensing system to the edge computing terminal specifically includes:

[0040] Ground-to-air cameras are installed at different locations in the land area to form a distributed camera system; and rainfall sensors are installed at different locations in the land area to form a distributed weather sensing system.

[0041] All ground-to-air cameras and all rainfall sensors are connected to the edge computing terminal, enabling bidirectional interactive communication with the edge computing terminal.

[0042] The beneficial effects of the above technical solution are as follows: by installing ground-to-air cameras and rainfall sensors at different locations in the land area, a distributed camera system and a distributed weather sensing system are formed, which can carry out large-scale coverage photography of the airspace above the land area and conduct comprehensive weather condition monitoring of the land area.

[0043] Preferably, in step S1, after connecting the distributed camera system and the distributed weather sensing system to the edge computing terminal, the method further includes:

[0044] The edge computing terminal sends an initialization command to each ground-to-air camera and each rain sensor; after the ground-to-air camera and the rain sensor receive the initialization command, they sequentially perform cache data clearing and restart operations.

[0045] The beneficial effects of the above technical solution are as follows: by sending initialization commands to each ground-to-air camera and each rain sensor, the ground-to-air camera and rain sensor can be restored to their initial state, thus avoiding the data generated by the ground-to-air camera and rain sensor during historical operation from affecting the current operation.

[0046] Preferably, in step S2, the analysis and processing of the remote sensing satellite image corresponding to the land area by the edge computing terminal to determine whether there are abnormal flying objects in the airspace above the land area specifically includes:

[0047] The edge computing terminal sends an image acquisition request to the remote sensing satellite terminal; the remote sensing satellite terminal extracts the remote sensing satellite image corresponding to the geographical coordinates of the land area from the real-time remote sensing satellite image based on the geographical coordinates of the land area contained in the image acquisition request, and sends the remote sensing satellite image to the edge computing terminal.

[0048] The edge computing terminal performs pixel contour recognition processing on the remote sensing satellite image to determine the shape contours of all flying objects in the airspace above the land area.

[0049] Based on the shape and outline of the flying object, determine whether the flying object is an anomalous flying object.

[0050] The beneficial effects of the above technical solution are as follows: using the remote sensing satellite image corresponding to the geographical coordinates of the land area as a reference, the pixel contour features of all objects in the image are identified from the remote sensing satellite image, and then the outline of all flying objects in the airspace above the land area is determined. The outline of the flying objects is then matched and compared with a preset abnormal flying object outline database to determine whether the flying object is an abnormal flying object, thereby improving the accuracy of abnormal flying object identification.

[0051] Preferably, in step S2, if an abnormal flying object is present, the edge computing terminal instructs the distributed camera system and the distributed weather sensing system to enter the working state, specifically including:

[0052] If an abnormal flying object is detected, the edge computing terminal instructs all ground-to-air cameras in the distributed camera system to track and photograph the abnormal flying object, and instructs all rainfall sensors in the distributed weather sensing system to operate at a predetermined frequency.

[0053] The beneficial effects of the above technical solution are as follows: By employing this method, each ground-to-air camera can track and photograph abnormal flying objects in real time, thereby preventing these objects from leaving the camera's field of view during flight. Furthermore, instructing all rainfall sensors in the distributed weather sensing system to operate at a predetermined frequency ensures sufficient rainfall data collection by the distributed weather sensing system.

[0054] Preferably, in step S3, instructing the distributed weather sensing system to collect weather data for the land area, and based on the weather data, instructing the distributed camera system to enter the corresponding camera mode and collect aerial images of the land area specifically includes:

[0055] The system is instructed to collect rainfall data for the land area at a predetermined frequency, and to analyze and process the rainfall data to determine the visibility value of the land area.

[0056] Based on the visibility value, the focal length or field of view of each ground-to-air camera in the distributed camera system is adjusted to capture aerial images of the land area.

[0057] The beneficial effects of the above technical solution are as follows: the amount of rainfall in a land area directly affects the visibility value of that area; the greater the rainfall, the lower the visibility value. By analyzing and processing the collected rainfall data using a specific model, the visibility value of the land area can be obtained. Furthermore, when the visibility value of the land area is less than or equal to a preset visibility threshold, the shooting focal length or shooting field of view of each ground-to-air camera is increased; otherwise, the shooting focal length or shooting field of view of each ground-to-air camera is kept at a specific value, thus ensuring that clear images of the sky above the land area can still be captured even when the visibility value is low.

[0058] Preferably, in step S4, the analysis and processing of the aerial image by the edge computing terminal to determine the flight status information of the abnormal flying object specifically includes:

[0059] The edge computing terminal analyzes and processes the aerial imagery to determine the flight path and altitude of the anomalous flying object over the land area.

[0060] The beneficial effects of the above technical solution are: through the above method, the flight path and flight altitude of abnormal flying objects in the aerial images can be accurately determined.

[0061] Preferably, in step S4, generating and sending a corresponding alarm notification message based on the flight status information specifically includes:

[0062] When the flight altitude of the abnormal flying object is less than or equal to a preset altitude threshold, an alarm notification message is sent through the edge computing terminal to the mobile terminals held by personnel in the ground area covered by the flight path of the abnormal flying object.

[0063] The beneficial effects of the above technical solution are as follows: through the above method, alarm notification messages can be quickly and timely sent to the mobile terminals held by personnel in the ground area covered by the flight path of the abnormal flying object, reminding relevant personnel to evacuate in time.

[0064] As can be seen from the above embodiments, this land-assisted detection method based on edge computing sets up distributed camera systems and distributed weather sensor systems at different locations in the land area and connects them to edge computing terminals. Based on the analysis results of remote sensing satellite images of the land area, it determines whether there are abnormal flying objects in the airspace above the land area, thereby instructing the distributed camera systems and distributed weather sensor systems to operate. Then, based on the weather data of the land area, it changes the camera operation mode of the distributed camera systems for the aerial images and analyzes the aerial images to determine the flight status information of the abnormal flying objects, thereby generating and sending alarm notification messages. The above detection method determines the existence status of abnormal flying objects by analyzing remote sensing satellite images, thereby instructing the distributed camera systems and distributed weather sensor systems to perform corresponding camera and weather data collection. Based on the flight status of the abnormal flying objects, it sends alarms to the mobile terminals of specific personnel, thereby providing comprehensive real-time reminders to relevant personnel and improving the real-time performance and reliability of land air defense alarms.

[0065] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A land-assisted detection method based on edge computing, characterized in that, It includes the following steps: Step S1: Set up a distributed camera system and a distributed weather sensing system at different locations in the land area, and connect the distributed camera system and the distributed weather sensing system to the edge computing terminal; Step S2: The remote sensing satellite image corresponding to the land area is analyzed and processed by the edge computing terminal to determine whether there are any abnormal flying objects in the airspace above the land area; if there are abnormal flying objects, the distributed camera system and the distributed weather sensing system are instructed to enter the working state by the edge computing terminal. Step S3: Instruct the distributed weather sensing system to collect weather data of the land area, and based on the weather data, instruct the distributed camera system to enter the corresponding camera working mode and collect aerial images of the land area; specifically, this includes: instructing the distributed weather sensing system to collect rainfall data of the land area at a predetermined frequency, and analyzing and processing the rainfall data to determine the visibility value of the land area; Based on the visibility value, the shooting focal length or shooting field of view of each ground-to-air camera in the distributed camera system is adjusted to acquire aerial images of the land area. Step S4: The edge computing terminal analyzes and processes the aerial image to determine the flight status information of the abnormal flying object; based on the flight status information, a corresponding alarm notification message is generated and sent.

2. The land-assisted detection method based on edge computing as described in claim 1, characterized in that: In step S1, setting up a distributed camera system and a distributed weather sensing system at different locations in the land area, and connecting the distributed camera system and the distributed weather sensing system to the edge computing terminal specifically includes: Ground-to-air cameras are installed at different locations in the land area to form a distributed camera system; and rainfall sensors are installed at different locations in the land area to form a distributed weather sensing system. All ground-to-air cameras and all rainfall sensors are connected to the edge computing terminal, enabling bidirectional interactive communication with the edge computing terminal.

3. The land-assisted detection method based on edge computing as described in claim 2, characterized in that: In step S1, after connecting the distributed camera system and the distributed weather sensing system to the edge computing terminal, the method further includes: The edge computing terminal sends an initialization command to each ground-to-air camera and each rain sensor; after the ground-to-air camera and the rain sensor receive the initialization command, they sequentially perform a cache data clearing operation and a restart operation.

4. The land-assisted detection method based on edge computing as described in claim 3, characterized in that: In step S2, the analysis and processing of remote sensing satellite images corresponding to the land area by the edge computing terminal to determine whether there are abnormal flying objects in the airspace above the land area specifically includes: The edge computing terminal sends an image acquisition request to the remote sensing satellite terminal; the remote sensing satellite terminal extracts the remote sensing satellite image corresponding to the geographical coordinates of the land area from the real-time remote sensing satellite image based on the geographical coordinates of the land area contained in the image acquisition request, and sends the remote sensing satellite image to the edge computing terminal. The edge computing terminal performs pixel contour recognition processing on the remote sensing satellite image to determine the shape contours of all flying objects in the airspace above the land area. Based on the shape and outline of the flying object, determine whether the flying object is an abnormal flying object.

5. The land-assisted detection method based on edge computing as described in claim 4, characterized in that: In step S2, if an abnormal flying object is detected, the edge computing terminal instructs the distributed camera system and the distributed weather sensing system to enter a working state. Specifically, this includes: If an abnormal flying object is detected, the edge computing terminal instructs all ground-to-air cameras in the distributed camera system to track and photograph the abnormal flying object, and instructs all rainfall sensors in the distributed weather sensing system to operate at a predetermined frequency.

6. The land-assisted detection method based on edge computing as described in claim 1, characterized in that: In step S4, the analysis and processing of the overhead image by the edge computing terminal to determine the flight status information of the abnormal flying object specifically includes: The edge computing terminal analyzes and processes the aerial images to determine the flight path and altitude of the abnormal flying object over the land area.

7. The land-assisted detection method based on edge computing as described in claim 6, characterized in that: In step S4, generating and sending corresponding alarm notification messages based on the flight status information specifically includes: When the flight altitude of the abnormal flying object is less than or equal to a preset altitude threshold, an alarm notification message is sent via the edge computing terminal to the mobile terminals held by personnel in the ground area covered by the flight path of the abnormal flying object.

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