Urban dynamic recording method and recording system thereof

Abstract

The invention discloses a city dynamic recording method and a recording system thereof. The method comprises the following steps: hovering an unmanned aerial vehicle at a preset height of a fixed point area; and carrying out continuous orthographic time-delay photography in the maximum visible range of the fixed point area, shooting dynamic changes of people, vehicles and objects in the fixed point area in real time, and recording a process that all objects in the fixed point area change continuously along with time change. The advantage of high-altitude large view of the unmanned aerial vehicle is utilized, continuous orthographic time-delay photography is carried out on the maximum visible range of a fixed space, dynamic changes of people, vehicles and objects in the area are recorded in real time under the condition that the area is not changed, and compared with traditional video recording, the video recording efficiency is improved. Images made through the time-delay photography technology show the characteristics of regularity, high efficiency and study and judgment, real-time track recording is carried out on people flow and traffic flow through the advantage that the unmanned aerial vehicle is free of high-altitude dead angles, suspicious targets and areas are marked through the images made through time-delay photography, and related police service clues are mined, analyzed and expanded in combination with a ground monitoring probe.

Description

Technical Field

[0001] The invention relates to the technical field of urban management, in particular to an urban dynamic recording method and a recording system thereof. Background Art

[0002] Urban management is to plan, organize, direct, control and coordinate various urban activities with the city as the management object, to achieve the optimal allocation of urban resources and improve the overall quality and efficiency of the city. By using information technology, the city's systems and services are connected and integrated to improve the efficiency of resource utilization, optimize urban management and services, and thus provide citizens with better living and working services and create a more favorable business development environment for enterprises.

[0003] Smart city comprehensive management requires expanding the visible and controllable scope of urban management and improving the intelligence of urban management, including the management and monitoring of urban infrastructure, transportation, environment, safety, etc. In the existing technology, the monitoring of urban comprehensive management can only be carried out by fixed shooting, with many blind spots and unclear shooting areas. Moreover, video recording equipment cannot effectively carry out investigation work at night due to insufficient light and limited viewing distance. The visual range of urban management is limited, and effective shooting and recording cannot be carried out. Summary of the invention

[0004] The purpose of the present invention is to provide a city dynamic recording method and a recording system thereof to solve the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solution: a method for recording urban dynamics, the method comprising:

[0006] Hover the drone at a preset height in a fixed area;

[0007] Conduct continuous orthophoto time-lapse photography within the maximum visible range of the fixed area, capture the dynamic changes of people, vehicles, and objects in the fixed area in real time, and record the process of all things in the fixed area changing over time.

[0008] Furthermore, it also includes analysis of the recorded process. During the analysis, the different changes presented by the high-speed motion of the trajectory in the drone footage are combined with ground monitoring equipment to judge the development process of things from the overall macro to local micro changes and identify dynamic changes in fixed areas.

[0009] Furthermore, the different changes presented by the high-speed motion of the trajectory in the drone images are combined with ground monitoring equipment to judge the development process of things from the overall macroscopic to the local microscopic changes, and identify the dynamic changes in the fixed point area, including:

[0010] Extract motion trajectories from images taken by drones and identify the motion trajectories of different moving objects;

[0011] Compare the extracted motion trajectories with the trajectories in the monitoring data of the ground monitoring equipment to identify and analyze different motion patterns and change trends;

[0012] Obtain an overall perspective of a fixed-point area from drone images, analyze overall dynamic changes within the fixed-point area, and conduct further overall trend analysis in combination with ground monitoring data;

[0013] Use ground monitoring data to deeply analyze detailed changes in specific areas or objects in fixed areas, compare micro data with drone images, and analyze dynamic changes in local areas.

[0014] Furthermore, the analysis of the overall dynamic changes in the fixed-point area includes:

[0015] The real-time images taken by the drone and the time-lapse images taken within the preset time in the past are displayed on the display screen;

[0016] Analyze the patterns and trends between the current images and the images in the past preset time period based on real-time and delayed images.

[0017] A city dynamic recording system, the system includes a drone, which hovers at a preset height in a fixed area, performs continuous orthophoto time-lapse photography within the maximum visible range of the fixed area, captures the dynamic changes of people, vehicles and objects in the fixed area in real time, and records the process of continuous changes of all things in the fixed area over time.

[0018] Furthermore, the system also includes ground monitoring equipment and an analysis module. The analysis module is respectively connected to the signals of the drone and the ground monitoring equipment, and is used to analyze the recorded process. By combining the different changes presented by the high-speed motion of the trajectory in the images taken by the drone with the ground monitoring equipment, the development process of things can be judged from the overall macroscopic to the local microscopic changes, and the dynamic changes in the fixed area can be identified.

[0019] Furthermore, the ground monitoring equipment includes a monitoring camera, and the monitoring camera includes multiple cameras arranged in a fixed area.

[0020] Furthermore, an automatic take-off and landing airport for drones is set at a preset height position in the fixed-point area.

[0021] Furthermore, the drones include multiple drones, and the multiple drones automatically take off and land at the airport and fly in rotation.

[0022] Compared with the prior art, the present invention has the following beneficial effects: the present invention utilizes the advantage of the large field of view of the drone at high altitude to perform continuous orthophoto time-lapse photography of the maximum visible range of a fixed space, and records the dynamic changes of people, vehicles, and objects in the area in real time without changing the area. Compared with traditional video recording, the images produced by time-lapse photography technology show regularity, high efficiency, and identifiable characteristics, which can greatly shorten the time for viewing and retrieving regional images. By utilizing the advantage of the drone's high altitude without blind spots, the real-time trajectory of people and vehicles is recorded, and suspicious targets and areas are marked through images produced by time-lapse photography. Combined with ground monitoring probes, relevant police clues can be excavated, analyzed, and expanded. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 This is a schematic diagram of the process of the city dynamic recording method of the present invention;

[0024] Figure 2 This is a block diagram of the city dynamic recording system of the present invention. DETAILED DESCRIPTION

[0025] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0026] like Figure 1 As shown, this embodiment provides a method for recording urban dynamics, and the method includes the following steps:

[0027] S1: Hover the drone at a preset height in a fixed area;

[0028] S2: Conduct continuous orthophoto time-lapse photography within the maximum visible range of the fixed-point area, capture the dynamic changes of people, vehicles, and objects in the fixed-point area in real time, and record the process of all objects in the fixed-point area changing over time;

[0029] S3: Analyze the recorded process. During the analysis, the different changes presented by the high-speed motion of the trajectory in the drone images are combined with ground monitoring equipment to judge the development process of things from the overall macro to local micro changes, and identify the dynamic changes in the fixed area.

[0030] Install ground monitoring equipment in the fixed area that needs to be monitored, such as installing several monitoring cameras, and install automatic take-off and landing airports for drones at the specified height of the fixed area that needs to be monitored. Multiple drones can achieve seamless data collection through the automatic take-off and landing airport, and rotate alternately to improve the continuity and breadth of data collection. After the drone climbs to the specified height, it hovers in the fixed area for a long time, and performs continuous orthophoto time-lapse photography within the maximum visible range of the fixed area. It conducts reconnaissance with a wider field of view, captures the dynamic changes of people, vehicles, and objects in the fixed area in real time, and records the process of all things in the fixed area changing over time. The recorded process is analyzed. During the analysis, the motion trajectory is extracted from the image taken by the drone to identify different The motion trajectory of the moving object; compare the extracted motion trajectory with the trajectory in the monitoring data of the surveillance camera, identify and analyze different motion patterns and change trends; obtain the overall perspective of the fixed area from the drone image, analyze the overall dynamic changes in the fixed area, and combine the ground monitoring data for further overall trend analysis; use ground monitoring data to deeply analyze the detailed changes of specific areas or objects in the fixed area, compare the micro data with the drone image, and analyze the dynamic changes of the local area. It can effectively identify periodic illegal and criminal activities in fixed areas, and accurately locate fixed and frequent points, effectively solving the difficulties and pain points of case investigation in the past, where there were only extensive clues but no accurate judgment of personnel, vehicles, locations, etc.

[0031] For example, night monitoring is carried out in an old urban area to prevent illegal and criminal activities and improve public safety. Because of the old infrastructure and insufficient lighting in this area, crimes are prone to occur. Drones are used to take night photos over the urban area. The drones are equipped with infrared cameras or low-light cameras, which have a very high ability to capture slight changes in night lights and can identify the movement trajectory of vehicles in low-light conditions. Through image processing technology, such as target detection and tracking algorithms, the movement trajectory of each vehicle is extracted from the drone images. Night vision cameras and sensors are deployed at key locations in the old urban area. These devices can capture the brightness of mobile phone screens at night. Mobile phone screens emit a faint light in dark environments. Through specific light intensity detection algorithms, the brightness of people's mobile phones and their locations can be identified. Drones and ground cameras monitor the brightness changes of buildings in real time. By analyzing the changes in the brightness of the building's lights, abnormal brightness or flickering brightness can be identified. Drones and ground cameras monitor the brightness of buildings in real time. Light changes: Comprehensive analysis of vehicle trajectories captured by drones, mobile phone lights monitored on the ground, and building light data. For example, it can identify abnormal vehicle stop trajectories, dense crowds, and sudden increases in building lights in a certain area. In the case of insufficient lighting at night, abnormal lights (such as abnormal light spots, rapid changes in light, etc.) identified by night cameras and drone images are marked as potential anomalies. For example, if the lights in a building are frequently turned on and off at night, or if lights suddenly appear in certain areas, this may indicate abnormal activities. The vehicle trajectories, mobile phone lights, and building light information can be used to locate the specific time and location of abnormal activities. For example, if a vehicle is found to frequently stop in a dark area at night, or if mobile phone lights are found near a building, this information can be combined to determine possible criminal activity areas and conduct on-site inspections. The time, location, and movement of criminals can be analyzed based on abnormal light and movement trajectories. For example, by observing the stay time and location of abnormal vehicles, combined with abnormal bright lights, it is possible to determine whether activities within a certain period of time are related to crime, and further lock down the activity paths of suspicious persons or vehicles. In this way, drones and ground monitoring equipment can efficiently identify vehicle trajectories, mobile phone lights, building lights and other information. By analyzing information such as vehicles and crowds, and building lights, especially in old urban areas with insufficient lighting, abnormal bright lights at night can be used to quickly identify abnormal points and quickly lock down the time, place and movement of people involved in crimes.

[0032] For example, traffic cameras and sensors on major roads and intersections in the city collect data such as traffic flow, vehicle speed, and traffic congestion in real time. Drones are used to capture high-resolution images to record traffic flow and congestion, especially during peak hours and special events. Ground surveillance cameras, public transportation system data, mobile phone signals, and other means are used to collect information on personnel flow. Social media and event schedules, such as large-scale events, concerts, and festivals, are combined to obtain information on personnel concentration. Traffic flow data is analyzed to identify peak hours and high-flow areas. For example, a traffic monitoring system detects a surge in traffic flow on a certain main road during peak hours in the morning and evening, identifies traffic accidents and congestion points, and predicts possible traffic bottlenecks. By analyzing personnel flow data, areas and times with dense flow of people are identified. For example, in large shopping malls or public event venues, where personnel flow is concentrated, combined with event schedule data, future personnel flow trends are predicted, such as areas where people are concentrated during holidays. Police deployment plans are formulated based on the results of traffic and personnel flow analysis. Increase police deployment during peak hours and high-flow areas. For example, patrol police forces can be increased on main roads during peak hours in the morning and evening to ease traffic congestion. Additional police officers can be deployed in areas with dense flow of people to ensure public safety, such as strengthening security forces in large-scale event areas, and dynamically adjusting police deployment based on real-time traffic and personnel flow data. For example, if a road suddenly experiences severe traffic congestion, nearby police forces can be quickly mobilized to guide traffic. When areas with potential safety risks (such as sudden large-scale gatherings) are identified, police forces can be quickly mobilized for on-site management and response. Through dynamic analysis of urban road traffic and research on the flow of people, accurate police force distribution can be achieved to ensure that police resources are reasonably allocated in key areas and time periods. This not only improves the efficiency of traffic management, but also enhances the protection of public safety. Since time-lapse photography has a high degree of sensitivity to urban changes, the data can be further expanded to municipal applications, such as urban construction planning, illegal building inspections, and evidence collection of stolen exhaust emissions at night.

[0033] The drone performs time-lapse photography in real time, and displays the real-time images taken by the drone and the time-lapse images taken in the past half hour on the display screen. For example, if a traffic jam is observed on a main road in the real-time image, the rules and trends between the current image and the images in the past preset time period are analyzed based on the real-time image and the past time-lapse photography data to analyze the cause of the congestion in the past half hour, and determine whether it is caused by a traffic accident, special event or other reasons. Decisions are made to adjust the switching time of traffic lights to ease traffic pressure, or to dispatch traffic police to the congested area for diversion, providing effective tools for urban traffic management. The tool not only allows managers to intuitively see the current traffic situation, but also allows in-depth analysis of changes in a short period of time, providing strong support for decision-making; for example, when abnormal behavior (such as fighting, theft, gathering, etc.) is found in the real-time picture, the manager marks the specific location and time on the real-time picture, marks the suspicious person, and tracks his movement through the time-lapse picture. According to the real-time picture and the past time-lapse photography data, the rules and trends between the current picture and the pictures in the past preset time period are analyzed to analyze what kind of situation led to the fight or theft, understand the background of the incident, such as whether there was any provocation, previous conflict, etc., and confirm the number of people involved in the incident. , appearance characteristics and possible companions, observe whether the surrounding people are affected, whether anyone participates in stopping or calling the police, understand the severity of the situation, assess the rapidity of the development of the incident, and determine whether it is necessary to immediately dispatch additional police forces to intervene or take other measures. Combined with real-time monitoring and time-lapse photography data processing, abnormal behavior can be identified in a timely manner, and through fast playback, management personnel can fully understand the course of the incident and effectively maintain public safety; for example, if a fire is monitored in real-time images, the patterns and trends between the current images and the images in the past preset time period can be analyzed based on the real-time images and the past time-lapse photography data to understand the cause and initial development of the fire. The system can quickly identify the situation, such as the specific location of the fire source, how the fire spread, whether there was any suspicious behavior or equipment failure that caused the fire, the reactions and behaviors of people before and after the fire, including whether anyone tried to extinguish the fire, whether anyone was trapped, etc., to quickly formulate a rescue plan, including determining the rescue route, evacuation channels, and rescue resources that need to be mobilized. It can also transmit key information in the time-lapse image to the rescue personnel on the scene in real time, helping them to understand the situation on the scene more quickly and improve rescue efficiency. Combined with real-time monitoring and time-lapse photography data processing, it can fully understand the cause and effect of the incident, thereby providing strong support for on-site emergency response.

[0034] like Figure 2As shown, the present embodiment also provides a city dynamic recording system, the system includes a drone 1, a ground monitoring device 2 and an analysis module 3, the preset height position of the fixed-point area is provided with an automatic take-off and landing airport of the drone 1, the drone 1 includes multiple drones, and the multiple drones 1 automatically take-off and landing airports rotate to fly, the ground monitoring device 2 includes a monitoring camera, the monitoring camera includes multiple cameras, which are arranged in the fixed-point area, and sensors, etc. can also be set, the drone 1 hovers at a preset height of the fixed-point area, and performs continuous orthophoto time-lapse photography within the maximum visible range of the fixed-point area, real-time photography of the dynamic changes of people, vehicles, and objects in the fixed-point area, and records the process of continuous changes of all things in the fixed-point area over time, the analysis module is respectively connected to the drone and the ground monitoring device signal, and is used to analyze the recorded process, during the analysis, through the different changes presented by the high-speed motion of the trajectory in the drone shooting image, combined with the ground monitoring device, the development process of things is judged from the overall macro to the local micro changes, and the dynamic changes in the fixed-point area are identified.

[0035] The present invention utilizes the advantage of the large field of view of the drone at high altitude to perform continuous orthophoto time-lapse photography of the maximum visible range of a fixed space, and records the dynamic changes of people, vehicles, and objects in the area in real time without changing the area. Compared with traditional video recording, the images produced by time-lapse photography technology show regularity, high efficiency, and identifiable characteristics, which can greatly shorten the time for viewing and retrieving regional images. By utilizing the advantage of the drone's high altitude without blind spots, the real-time trajectory of people and vehicles is recorded, and suspicious targets and areas are marked through images produced by time-lapse photography. Combined with ground monitoring probes, relevant police clues can be excavated, analyzed, and expanded.

[0036] Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments, or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for recording urban dynamics, characterized in that: The method comprises: Hover the drone at a preset height in a fixed area; Conduct continuous orthophoto time-lapse photography within the maximum visible range of the fixed area, capture the dynamic changes of people, vehicles, and objects in the fixed area in real time, and record the process of all things in the fixed area changing over time.

2. The urban dynamic recording method according to claim 1, characterized in that: It also includes the analysis of the recorded process. During the analysis, the different changes presented by the high-speed motion of the trajectory in the drone images are combined with ground monitoring equipment to judge the development process of things from the overall macro to the local micro changes and identify the dynamic changes in the fixed area.

3. The urban dynamic recording method according to claim 2, characterized in that: The different changes presented by the high-speed motion of the trajectory in the drone images are combined with ground monitoring equipment to judge the development process of things from the overall macroscopic to the local microscopic changes, and identify the dynamic changes in the fixed point area, including: Extract motion trajectories from images taken by drones and identify the motion trajectories of different moving objects; Compare the extracted motion trajectories with the trajectories in the monitoring data of the ground monitoring equipment to identify and analyze different motion patterns and change trends; Obtain an overall perspective of a fixed area from drone images, analyze overall dynamic changes within the fixed area, and conduct further overall trend analysis in combination with ground monitoring data; Use ground monitoring data to deeply analyze detailed changes in specific areas or objects in fixed areas, compare micro data with drone images, and analyze dynamic changes in local areas.

4. The method for recording urban dynamics according to claim 3, characterized in that: The overall dynamic changes in the analysis fixed-point area include: The real-time images taken by the drone and the time-lapse images taken within the preset time in the past are displayed on the display screen; Analyze the patterns and trends between the current images and the images in the past preset time period based on real-time and delayed images.

5. An urban dynamic recording system, characterized in that: The system includes a drone, which hovers at a preset height in a fixed area, performs continuous orthophoto time-lapse photography within the maximum visible range of the fixed area, captures the dynamic changes of people, vehicles, and objects in the fixed area in real time, and records the process of continuous changes of all things in the fixed area over time.

6. The urban dynamic recording system according to claim 5, characterized in that: The system also includes ground monitoring equipment and an analysis module. The analysis module is connected to the signals of the drone and the ground monitoring equipment respectively, and is used to analyze the recorded process. By combining the different changes presented by the high-speed motion of the trajectory in the images taken by the drone with the ground monitoring equipment, the development process of things can be judged from the overall macroscopic to the local microscopic changes, and the dynamic changes in the fixed area can be identified.

7. The urban dynamic recording method according to claim 5, characterized in that: The ground monitoring equipment includes a monitoring camera, and the monitoring cameras include a plurality of cameras arranged in a fixed area.

8. The method for recording urban dynamics according to claim 5 or 6, characterized in that: An automatic take-off and landing airport for the UAV is set at a preset height position in the fixed-point area.

9. The method for recording urban dynamics according to claim 8, characterized in that: The drones include multiple drones, and the multiple drones automatically take off and land at the airport and fly in rotation.

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