A remote information integration method for unmanned aerial vehicles

Abstract

The invention discloses a remote information integration method for unmanned aerial vehicles, which relates to the field of information integration and comprises the following steps: setting an information integration center, acquiring a satellite view of a corresponding disaster-stricken area, and setting a corresponding number of patrol points; setting the positions of corresponding patrol points according to the number of patrol points, and constructing a three-dimensional satellite view; setting an initial patrol path of the unmanned aerial vehicle, and installing a data acquisition device to collect data information near the corresponding patrol points; the information integration center analyzes the collected data information and determines the disaster level of the corresponding patrol points; visually marking the corresponding patrol points in the three-dimensional satellite view according to the disaster level of the corresponding patrol points and the drone collection situation, and generating a patrol view and a disaster-stricken view respectively; setting corresponding rescue measures and updating the patrol path of the unmanned aerial vehicle according to the patrol view and the disaster-stricken view; the beneficial effects of the invention are that the flexibility and scientificity of the unmanned aerial vehicle in the patrol process are improved through remote information integration.

Description

Technical Field

[0001] The invention relates to the field of information integration, and in particular to a remote information integration method for unmanned aerial vehicles. Background Art

[0002] With the development of society and the improvement of people's living standards, people's ways of collecting information have gradually diversified. UAVs have gradually become one of the important tools for people to collect information. UAVs are unmanned aircraft controlled by radio remote control equipment and self-provided program control devices. Compared with manned aircraft, UAVs are more suitable for tasks without safety guarantees. For example, UAVs are widely used in the field of post-disaster rescue. UAVs are used to collect information and integrate the collected information, thereby improving the efficiency of post-disaster rescue work.

[0003] However, in the race against time for rescue work, the data information collected by drones can only judge the disaster situation in the corresponding area according to the magnitude of the earthquake, and the flexibility and scientificity of autonomous drones cannot be guaranteed during the inspection process, resulting in insufficient information collection and missed rescue time and opportunities. How to improve the autonomy of drones in the information collection process and the effectiveness of the collected data information is a problem we need to solve. To this end, a remote information integration method for drones is provided. Summary of the invention

[0004] In order to solve the above technical problems, an object of the present invention is to provide a remote information integration method for unmanned aerial vehicles.

[0005] The purpose of the present invention can be achieved by the following technical solution: A remote information integration method for unmanned aerial vehicles, comprising the following steps:

[0006] Step S1: Setting up an information integration center, obtaining a satellite view of the corresponding disaster-stricken area by the information integration center, and setting the number of inspection points inside the corresponding disaster-stricken area according to the satellite view;

[0007] Step S2: setting each inspection point in the disaster-stricken area according to the number of inspection points set, and constructing a three-dimensional satellite view according to the position of the satellite view of each inspection point;

[0008] Step S3: setting corresponding numbers for the patrolling drones, and setting the initial patrol path of the drones with corresponding numbers according to the constructed three-dimensional satellite view; installing corresponding data collection devices on the drones to collect relevant data information near the corresponding patrol points in the initial patrol path;

[0009] Step S4: The information integration center obtains the data information inspected by the drone, analyzes and processes the inspection information, and determines the disaster level of the corresponding inspection point;

[0010] Step S5: The information integration center visually marks the collection conditions and disaster levels of the drones corresponding to the relevant inspection points in the three-dimensional satellite view, and generates an inspection view and a disaster view respectively;

[0011] Step S6: setting corresponding rescue measures and updating the inspection path of the drone according to the inspection view and the disaster-affected view.

[0012] Furthermore, the process of setting up an information integration center, obtaining a satellite view of the corresponding disaster-stricken area by the information integration center, and setting the number of inspection points inside the corresponding disaster-stricken area according to the satellite view includes:

[0013] The information integration center is connected to the relevant UAV equipment for controlling the UAV during the data information collection process and analyzing the collected data information;

[0014] The information integration center obtains satellite views of the disaster-stricken areas through GIS technology; a distribution area is set therein, and a corresponding number of basic patrol points is set according to the size of the distribution area. The satellite view is divided according to the set distribution area to obtain the corresponding distribution area, and the distribution area is numbered according to the corresponding division order, and the building area in the corresponding distribution area is obtained. The corresponding number of patrol points is set according to the ratio of the corresponding building area to the distribution area; the information integration center is set with a comprehensive coefficient, and the obtained ratio is multiplied by the comprehensive coefficient to obtain the corresponding summed number of patrol points, and the number of patrol points is the sum of the basic patrol point data and the summed number of patrol points.

[0015] Furthermore, the process of constructing a three-dimensional satellite view according to the number of set inspection points and the position of the satellite view where each inspection point is located includes:

[0016] The information integration center is provided with an interval error coefficient, obtains the first distribution area in the numbering order and the number of patrol points in the corresponding distribution area, sets the patrol interval according to the ratio between the distribution area and the number of patrol points, and sets the corresponding patrol points according to the corresponding patrol interval within the interval error coefficient; sets the patrol points in the corresponding numbered distribution area in sequence according to the above method, and sets the sub-number of the corresponding patrol point according to the number of the distribution area;

[0017] Obtain the inspection points set in each distribution area in the disaster-stricken area, obtain the corresponding satellite view, map the inspection points with corresponding sub-numbers into the satellite view, and construct the corresponding three-dimensional satellite view according to the mapping result.

[0018] Furthermore, the process of setting corresponding numbers for the patrolling drones and setting the initial patrol path of the corresponding numbered drones according to the constructed three-dimensional satellite view includes:

[0019] Obtain the number of drones in the corresponding disaster-stricken area, set corresponding labels for each drone, and divide the drones into resting state, waiting for inspection state and inspection state according to their status; monitor the power of all drones, sort the power of the corresponding drones in the rest state, and set the drones with corresponding labels to the waiting for inspection state according to the sorting; set the corresponding initial inspection path for the drones in the inspection state, obtain the constructed three-dimensional satellite view, set the number of inspection point targets and the inspection ratio coefficient, the number of inspection point targets is the number of inspection points that the corresponding drone needs to pass through during the inspection process; the inspection ratio coefficient is the ratio of the number of inspection point targets to the number of inspection point targets in the building area; evenly distribute the inspection point target data in the corresponding distribution area, connect the positions of the corresponding inspection points, and obtain the corresponding initial inspection path.

[0020] Furthermore, the process of installing a corresponding data collection device on the drone to collect relevant data information near the corresponding inspection point in the initial inspection path includes:

[0021] A GPS positioning device, an earthquake early warning device and an image acquisition device are installed on the drone; the GPS positioning device is used to obtain the location data of the drone when it is in a patrol state, and the earthquake early warning device is used for the drone to obtain earthquake amplitude data at the corresponding position; the image acquisition device is used to collect image data at the position it passes through; and the collected data information is uploaded to the information integration center.

[0022] Furthermore, the process of analyzing and processing the patrol information based on the data information patrolled by the drone to determine the disaster level of the corresponding patrol point includes:

[0023] The information integration center performs logarithmic operation on the seismic wave amplitude data through the Richter magnitude to obtain the magnitude of the earthquake, and obtains the seismic intensity at the corresponding position of the drone according to the magnitude of the corresponding earthquake; the information integration center stores the corresponding reference image, and the reference image includes the building image information corresponding to the corresponding inspection point; the image data at the corresponding position is obtained, the image data is feature extracted, and the building feature image of the image data is extracted through Hough transformation; the obtained building feature image is compared and analyzed with the reference image, the pixel values ​​of the two images are obtained, the traversal pointer is set, and the first pixel value of the two images is traversed in sequence to obtain the difference value between the building feature image and the reference image;

[0024] The information integration center is provided with an intensity coefficient and a difference coefficient; the obtained earthquake intensity is multiplied by the intensity coefficient, and the obtained difference value is multiplied by the difference coefficient; the obtained products are added together to obtain corresponding comprehensive data; the information integration center is provided with a safety level interval, a minor level interval, a severe level interval and an extremely severe level interval; the corresponding disaster level is obtained according to the interval to which the comprehensive data belongs.

[0025] Furthermore, the process of visually marking the collection conditions and disaster levels of the drones corresponding to the relevant inspection points in the three-dimensional satellite view by the information integration center includes:

[0026] The information integration center visually marks the three-dimensional satellite view according to the inspection results and disaster level of the drone; obtains the location data of the drone, and when the corresponding location data reaches the corresponding inspection point, marks the inspection point as green, obtains the current time, sets the warning time period and the alarm time period, starts counting from the current time, and when the warning time period is reached, marks it as orange; when it reaches the alarm time period, marks it as red; and records the generated three-dimensional satellite view as the inspection view;

[0027] Obtain the disaster level of the corresponding inspection point analyzed by the information integration center, and set the safety level, minor level, serious level and super serious level to green, yellow, orange and red respectively; set the disaster level analyzed by the corresponding inspection point to a corresponding color mark, and record the generated three-dimensional satellite view as a disaster view;

[0028] Furthermore, the process of setting corresponding rescue measures according to the inspection view and the disaster-affected view and updating the inspection path of the drone includes:

[0029] The information integration center obtains the corresponding disaster-affected view and patrol view; updates the patrol path for the patrol drone according to the corresponding disaster-affected view; when the information integration center analyzes the disaster level of the current patrol point as severe or extremely severe based on the information collected by the drone, the patrol view of the patrol point where the drone is currently located is obtained, and the patrol points in the patrol view that are adjacent to the patrol point and marked as red or orange are obtained; the positions of the patrol points marked in red are obtained first, and then the patrol points marked in orange in the patrol view are obtained; the positions of the corresponding patrol points are set as the patrol points that need to be passed through to update the patrol path; until the disaster level of the corresponding patrol point is safe or light, the initial patrol path is restored to patrol the disaster-affected area;

[0030] The information integration center has set up rescue levels corresponding to minor level, severe level and extremely severe level. Different rescue levels include different numbers of rescue equipment and rescue personnel. The information integration center obtains the corresponding rescue level according to the corresponding disaster level and takes corresponding rescue measures.

[0031] Compared with the prior art, the beneficial effects of the present invention are: by comparing the degree of damage to buildings in the disaster-stricken area with the image data at the corresponding position obtained by the drone, and combining the two, the resulting disaster level is more scientific, which provides help to a certain extent for more people in need of rescue; by obtaining the corresponding inspection view and the disaster-stricken view to set the corresponding drone's updated inspection path, and obtaining the corresponding data information, the flexibility and scientificity of the drone in the inspection process are improved to a certain extent. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 It is the principle diagram of the present invention; DETAILED DESCRIPTION

[0033] like Figure 1 As shown, a remote information integration method for a drone comprises the following steps:

[0034] Step S1: Setting up an information integration center, obtaining a satellite view of the corresponding disaster-stricken area by the information integration center, and setting the number of inspection points inside the corresponding disaster-stricken area according to the satellite view;

[0035] Step S2: setting each inspection point in the disaster-stricken area according to the number of inspection points set, and constructing a three-dimensional satellite view according to the position of the satellite view of each inspection point;

[0036] Step S3: setting corresponding numbers for the patrolling drones, and setting the initial patrol path of the drones with corresponding numbers according to the constructed three-dimensional satellite view; installing corresponding data collection devices on the drones to collect relevant data information near the corresponding patrol points in the initial patrol path;

[0037] Step S4: The information integration center obtains the data information inspected by the drone, analyzes and processes the inspection information, and determines the disaster level of the corresponding inspection point;

[0038] Step S5: The information integration center visually marks the collection conditions and disaster levels of the drones corresponding to the relevant inspection points in the three-dimensional satellite view, and generates an inspection view and a disaster view respectively;

[0039] Step S6: setting corresponding rescue measures and updating the inspection path of the drone according to the inspection view and the disaster-affected view.

[0040] It should be further explained that, in the specific implementation process, the process of setting up an information integration center, obtaining a satellite view of the corresponding disaster-stricken area by the information integration center, and setting the number of inspection points inside the corresponding disaster-stricken area according to the satellite view includes:

[0041] An information integration center is set up, and the information integration center is used to be associated with relevant drone equipment, mark the data information collected by the corresponding drone according to its number, and store and manage the collected equipment information. The specific implementation process includes:

[0042] The information integration center obtains satellite views of the disaster-stricken area through GIS satellite remote sensing technology; analyzes and processes the obtained satellite views, and the specific implementation process includes:

[0043] Setting inspection points for the obtained satellite view, obtaining the distribution of personnel in the satellite view, setting corresponding inspection points according to the distribution of personnel, setting the distribution area in the satellite view, dividing the satellite view according to the distribution area, numbering according to the division result, processing the distribution area corresponding to each number, obtaining the building area in the distribution area, obtaining the ratio of the building area to the distribution area, and setting the corresponding number of inspection points according to the proportion of the building area in the distribution area with the corresponding number; setting the number of basic inspection points, which is recorded as X0; recording the number of inspection points as X; recording the area of ​​the distribution area as F; recording the building area as J; the information integration center is provided with a data coefficient, which is recorded as Y;

[0044] The calculation method corresponding to the number of inspection points is: X=X0+(J÷F)×Y.

[0045] It should be further explained that, in the specific implementation process, the process of setting each inspection point in the disaster-stricken area according to the number of inspection points set, and constructing a three-dimensional satellite view according to the position of the satellite view where each inspection point is located includes:

[0046] The information integration center is provided with an interval error coefficient, obtains the first distribution area in the numbering order and the number of patrol points in the corresponding distribution area, sets the patrol interval according to the ratio between the distribution area and the number of patrol points, and sets the corresponding patrol points according to the corresponding patrol interval within the interval error coefficient; sets the patrol points in the corresponding numbered distribution area in sequence according to the above method, and sets the sub-number of the corresponding patrol point according to the number of the distribution area;

[0047] Obtain the inspection points set in each distribution area in the disaster-stricken area, obtain the corresponding satellite view, map the inspection points with corresponding sub-numbers into the satellite view, and construct the corresponding three-dimensional satellite view according to the mapping result.

[0048] It should be further explained that, in the specific implementation process, the process of setting corresponding numbers for the patrolling drones, setting the initial patrol path of the drones with corresponding numbers according to the constructed three-dimensional satellite view, and installing corresponding data collection devices on the drones to collect relevant data information near the corresponding patrol points in the initial patrol path includes:

[0049] Obtain the number of drones in the corresponding disaster-stricken area, set corresponding labels for each drone, and divide the drones into resting state, waiting for inspection state and inspection state according to their status; monitor the power of all drones, the rest state means that the corresponding drone is in the corresponding charging state or unused state, sort the power of the corresponding drones in the rest state, and set the drones with corresponding labels to the waiting for inspection state according to the sorting; set the corresponding initial inspection path for the drones in the inspection state, obtain the constructed three-dimensional satellite view, set the number of inspection point targets and the inspection ratio coefficient, the number of inspection point targets means the number of inspection points that the corresponding drone needs to pass during the inspection process; the inspection ratio coefficient is the ratio of the number of inspection point targets to the number of inspection point targets in the building area; evenly distribute the inspection point target data in the corresponding distribution area, connect the positions of the corresponding inspection points in a ring, reduce the power loss of the drone to a certain extent, obtain the corresponding initial inspection path, and enter the obtained initial inspection path into the drone equipment with the corresponding label;

[0050] When there are drones in patrol status in the disaster-stricken area, the information integration center obtains the corresponding patrol view, sets the corresponding initial patrol path for the drones in patrol status according to the corresponding patrol view, and obtains the patrol points marked in red first, and then obtains the patrol points marked in orange; repeat the above operation to set the initial patrol path for the drones in patrol status;

[0051] A GPS positioning device, an earthquake early warning device and an image acquisition device are installed on the drone; the GPS positioning device is used to obtain the location data of the drone when it is in a patrol state, and the earthquake early warning device is used for the drone to obtain earthquake amplitude data at the corresponding position; the image acquisition device is used to collect image data at the position it passes through; and the collected data information is uploaded to the information integration center.

[0052] It should be further explained that, in the specific implementation process, the information integration center obtains the data information inspected by the drone, analyzes and processes the inspection information, and determines the disaster level of the corresponding inspection point, including:

[0053] The information integration center performs logarithmic operation on the seismic wave amplitude data through the Richter magnitude to obtain the magnitude of the earthquake, and obtains the seismic intensity at the corresponding position of the drone according to the magnitude of the corresponding earthquake; the information integration center stores the corresponding reference image, and the reference image includes the building image information corresponding to the corresponding inspection point; the image data at the corresponding position is obtained, the image data is feature extracted, and the building feature image of the image data is extracted through Hough transformation; the obtained building feature image is compared and analyzed with the reference image, the pixel values ​​of the two images are obtained, the traversal pointer is set, and the first pixel value of the two images is traversed in sequence to obtain the difference value between the building feature image and the reference image;

[0054] The information integration center is provided with an intensity coefficient and a difference coefficient; the obtained earthquake intensity is multiplied by the intensity coefficient, and the obtained difference value is multiplied by the difference coefficient; the obtained products are added to obtain the corresponding comprehensive data; the information integration center is provided with a safety level interval, a minor level interval, a serious level interval and an extremely serious level interval; the corresponding disaster level is obtained according to the interval to which the comprehensive data belongs;

[0055] The intensity coefficient and the difference coefficient are respectively recorded as LX and CX; the obtained earthquake intensity is recorded as DL; the obtained difference value is recorded as CY; the comprehensive data is recorded as ZX; the calculation method corresponding to the number of inspection points is: ZX=LX×DL+CY×CX.

[0056] It should be further explained that, in the specific implementation process, the information integration center visually marks the collection status of the drones corresponding to the relevant inspection points and the disaster level in the three-dimensional satellite view, and the process of generating the inspection view and the disaster view respectively includes:

[0057] The information integration center visually marks the three-dimensional satellite view according to the inspection results and disaster level of the drone; obtains the location data of the drone, and when the corresponding location data reaches the corresponding inspection point, marks the inspection point as green, obtains the current time, sets the warning time period and the alarm time period, starts counting from the current time, and when the warning time period is reached, marks it as orange; when it reaches the alarm time period, marks it as red; and records the generated three-dimensional satellite view as the inspection view;

[0058] Obtain the disaster level of the corresponding inspection point analyzed by the information integration center, and set the safety level, minor level, severe level and super severe level to green, yellow, orange and red respectively; set the corresponding color mark for the disaster level analyzed by the corresponding inspection point, and record the generated three-dimensional satellite view as the disaster view.

[0059] It should be further explained that, in the specific implementation process, the process of setting corresponding rescue measures according to the inspection view and the disaster-affected view and updating the inspection path of the drone includes:

[0060] The information integration center obtains the corresponding disaster-affected view and patrol view; updates the patrol path for the patrol drone according to the corresponding disaster-affected view; when the information integration center analyzes the disaster level of the current patrol point as severe or extremely severe based on the information collected by the drone, the patrol view of the patrol point where the drone is currently located is obtained, and the patrol points in the patrol view that are adjacent to the patrol point and marked as red or orange are obtained; the positions of the patrol points marked in red are obtained first, and then the patrol points marked in orange in the patrol view are obtained; the positions of the corresponding patrol points are set as the patrol points that need to be passed through to update the patrol path; until the disaster level of the corresponding patrol point is safe or light, the initial patrol path is restored to patrol the disaster-affected area;

[0061] The information integration center has set up rescue levels corresponding to minor level, severe level and extremely severe level. Different rescue levels include different numbers of rescue equipment and rescue personnel. The information integration center obtains the corresponding rescue level according to the corresponding disaster level and takes corresponding rescue measures.

[0062] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A remote information integration method for unmanned aerial vehicles, characterized in that: The following steps are involved: Step S1: Setting up an information integration center, obtaining a satellite view of the corresponding disaster-stricken area by the information integration center, and setting the number of inspection points inside the corresponding disaster-stricken area according to the satellite view; Step S2: setting each inspection point in the disaster-stricken area according to the number of inspection points set, and constructing a three-dimensional satellite view according to the position of the satellite view of each inspection point; Step S3: setting corresponding numbers for the patrolling drones, and setting the initial patrol path of the corresponding numbered drones according to the constructed three-dimensional satellite view; Install the corresponding data collection device on the UAV to collect relevant data information near the corresponding inspection point in the initial inspection path; Step S4: The information integration center obtains the data information inspected by the drone, analyzes and processes the inspection information, and determines the disaster level of the corresponding inspection point; Step S5: The information integration center visually marks the collection conditions and disaster levels of the drones corresponding to the relevant inspection points in the three-dimensional satellite view, and generates an inspection view and a disaster view respectively; Step S6: setting corresponding rescue measures and updating the inspection path of the drone according to the inspection view and the disaster-affected view; The process of installing a corresponding data collection device on the drone to collect relevant data information near the corresponding inspection point in the initial inspection path includes: A GPS positioning device, an earthquake early warning device and an image acquisition device are installed on the drone; the GPS positioning device is used to obtain the location data of the drone when it is in the patrol state, and the earthquake early warning device is used for the drone to obtain the earthquake amplitude data at the corresponding position; the image acquisition device is used to collect image data at the position it passes through; and the collected data information is uploaded to the information integration center; According to the data information inspected by the drone, the process of analyzing and processing the inspection information and determining the disaster level of the corresponding inspection point includes: The information integration center performs logarithmic operation on the seismic wave amplitude data through the Richter magnitude to obtain the magnitude of the earthquake, and obtains the seismic intensity at the corresponding position of the drone according to the magnitude of the corresponding earthquake; the information integration center stores the corresponding reference image, and the reference image includes the building image information corresponding to the corresponding inspection point; the image data at the corresponding position is obtained, the image data is feature extracted, and the building feature image of the image data is extracted through Hough transformation; the obtained building feature image is compared and analyzed with the reference image, the pixel values ​​of the two images are obtained, the traversal pointer is set, and the first pixel value of the two images is traversed in sequence to obtain the difference value between the building feature image and the reference image; The information integration center is provided with an intensity coefficient and a difference coefficient; the obtained earthquake intensity is multiplied by the intensity coefficient, and the obtained difference value is multiplied by the difference coefficient; the obtained products are added together to obtain corresponding comprehensive data; the information integration center is provided with a safety level interval, a minor level interval, a severe level interval and an extremely severe level interval; the corresponding disaster level is obtained according to the interval to which the comprehensive data belongs.

2. A remote information integration method for unmanned aerial vehicles according to claim 1, characterized in that: The process of setting up an information integration center, obtaining a satellite view of the corresponding disaster-stricken area by the information integration center, and setting the number of inspection points inside the corresponding disaster-stricken area according to the satellite view includes: The information integration center is connected to the relevant UAV equipment for controlling the UAV during the data information collection process and analyzing the collected data information; The information integration center obtains satellite views of the disaster-stricken areas through GIS technology; a distribution area is set therein, and a corresponding number of basic patrol points is set according to the size of the distribution area. The satellite view is divided according to the set distribution area to obtain the corresponding distribution area, and the distribution area is numbered according to the corresponding division order, and the building area in the corresponding distribution area is obtained. The corresponding number of patrol points is set according to the ratio of the corresponding building area to the distribution area; the information integration center is set with a comprehensive coefficient, and the obtained ratio is multiplied by the comprehensive coefficient to obtain the corresponding summed number of patrol points, and the number of patrol points is the sum of the basic patrol point data and the summed number of patrol points.

3. A remote information integration method for unmanned aerial vehicles according to claim 2, characterized in that: The process of constructing a three-dimensional satellite view according to the number of set inspection points and the position of the satellite view of each inspection point includes: The information integration center is provided with an interval error coefficient, obtains the first distribution area in the numbering order and the number of patrol points in the corresponding distribution area, sets the patrol interval according to the ratio between the distribution area and the number of patrol points, and sets the corresponding patrol points according to the corresponding patrol interval within the interval error coefficient; sets the patrol points in the corresponding numbered distribution area in sequence according to the above method, and sets the sub-number of the corresponding patrol point according to the number of the distribution area; Obtain the inspection points set in each distribution area in the disaster-stricken area, obtain the corresponding satellite view, map the inspection points with corresponding sub-numbers into the satellite view, and construct the corresponding three-dimensional satellite view according to the mapping result.

4. A remote information integration method for unmanned aerial vehicles according to claim 3, characterized in that: The process of setting corresponding numbers for the patrolling drones and setting the initial patrol path of the corresponding numbered drones according to the constructed three-dimensional satellite view includes: Obtain the number of drones in the corresponding disaster-stricken area, set corresponding labels for each drone, and divide the drones into resting state, waiting for inspection state and inspection state according to their status; monitor the power of all drones, sort the power of the corresponding drones in the rest state, and set the drones with corresponding labels to the waiting for inspection state according to the sorting; set the corresponding initial inspection path for the drones in the inspection state, obtain the constructed three-dimensional satellite view, set the number of inspection point targets and the inspection ratio coefficient, the number of inspection point targets is the number of inspection points that the corresponding drone needs to pass through during the inspection process; the inspection ratio coefficient is the ratio of the number of inspection point targets to the number of inspection point targets in the building area; evenly distribute the inspection point target data in the corresponding distribution area, connect the positions of the corresponding inspection points, and obtain the corresponding initial inspection path.

5. A remote information integration method for unmanned aerial vehicles according to claim 4, characterized in that: The process of visually marking the collection conditions and disaster levels of the drones corresponding to the relevant inspection points in the three-dimensional satellite view by the information integration center includes: The information integration center visually marks the three-dimensional satellite view according to the inspection results and disaster level of the drone; obtains the location data of the drone, and when the corresponding location data reaches the corresponding inspection point, marks the inspection point as green, obtains the current time, sets the warning time period and the alarm time period, starts counting from the current time, and when the warning time period is reached, marks it as orange; when it reaches the alarm time period, marks it as red; and records the generated three-dimensional satellite view as the inspection view; Obtain the disaster level of the corresponding inspection point analyzed by the information integration center, and set the safety level, minor level, severe level and super severe level to green, yellow, orange and red respectively; set the corresponding color mark for the disaster level analyzed by the corresponding inspection point, and record the generated three-dimensional satellite view as the disaster view.

6. A remote information integration method for unmanned aerial vehicles according to claim 5, characterized in that: The process of setting corresponding rescue measures according to the inspection view and the disaster-affected view and updating the inspection path of the drone includes: The information integration center obtains the corresponding disaster-affected view and patrol view; updates the patrol path for the patrol drone according to the corresponding disaster-affected view; when the information integration center analyzes the disaster level of the current patrol point as severe or extremely severe based on the information collected by the drone, the patrol view of the patrol point where the drone is currently located is obtained, and the patrol points in the patrol view that are adjacent to the patrol point and marked as red or orange are obtained; the positions of the patrol points marked in red are obtained first, and then the patrol points marked in orange in the patrol view are obtained; the positions of the corresponding patrol points are set as the patrol points that need to be passed through to update the patrol path; until the disaster level of the corresponding patrol point is safe or light, the initial patrol path is restored to patrol the disaster-affected area; The information integration center has set up rescue levels corresponding to minor level, severe level and extremely severe level. Different rescue levels include different numbers of rescue equipment and rescue personnel. The information integration center obtains the corresponding rescue level according to the corresponding disaster level and takes corresponding rescue measures.

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