CN-121979248-A - Unmanned aerial vehicle on-road parking stall inspection system

CN121979248ACN 121979248 ACN121979248 ACN 121979248ACN-121979248-A

Abstract

The invention discloses an unmanned aerial vehicle in-road parking space inspection system, which belongs to the technical field of unmanned aerial vehicle inspection and comprises an unmanned aerial vehicle, an unmanned aerial vehicle cabin, a control module, a data transmission module and a data processing center which work cooperatively. Through actual test and simulation analysis, the inspection area which can be covered by the unmanned aerial vehicle is several times of that of the two-wheel electric vehicle in the same time, the inspection efficiency can be improved, and the modern inspection system based on the unmanned aerial vehicle is introduced, so that innovative practice and active exploration of the city in the field of intelligent traffic management are revealed. Compared with the traditional manual inspection mode, the unmanned aerial vehicle inspection shows the characteristics of high technology and high efficiency, is beneficial to improving the overall image and modernization level of the city, enhances the attraction of the city to residents and investors, and adds bright spots for the construction of smart cities.

Inventors

HU ZHIMING
FANG ZHIPING
CHEN JIANHONG
GUO JINGLIANG

Assignees

厦门龙象科技有限公司

Dates

Publication Date: 20260505
Application Date: 20260205

Claims (10)

1. The unmanned aerial vehicle in-road parking space inspection system is characterized in that the control module realizes accurate acquisition and management of in-road parking space states through integrated intelligent inspection, the control module plans an inspection task and remotely dispatches the unmanned aerial vehicle, the unmanned aerial vehicle executes inspection according to a planned route after taking off through the unmanned aerial vehicle cabin, acquires images through carrying equipment and primarily processes, the data are transmitted to a data processing center in real time for deep analysis through the data transmission module, the unmanned aerial vehicle returns to the unmanned aerial vehicle cabin for charging and receiving state detection after the inspection is completed, the unmanned aerial vehicle is provided with a high-definition image acquisition and primary data processing unit, the unmanned aerial vehicle cabin integrates the taking off and landing, parking, charging and state detection functions, the control module has task planning, navigation and cluster dispatching capabilities, the data transmission module guarantees safe and stable data transmission, and the data processing center realizes secondary data verification and deep analysis.
2. The unmanned aerial vehicle in-road parking space inspection system of claim 1, wherein the unmanned aerial vehicle high-definition image acquisition unit is an ultra-high-definition camera with an automatic focusing function and integrates an optical anti-shake principle and an electronic anti-shake algorithm, the preliminary data processing unit is a high-performance processor adopting an advanced computing architecture and has parallel processing capability, and the acquired images can be screened and classified in real time, and parking space occupation state, license plate number and abnormal occupation information are extracted and temporarily cached.
3. The unmanned aerial vehicle in-road parking space inspection system is characterized in that an integrated sealing design is adopted for an unmanned aerial vehicle cabin, a high-strength corrosion-resistant composite material is adopted for a shell, an in-cabin space is designed through ergonomics to be accurately adapted to the external dimension of an unmanned aerial vehicle, a wireless charging device based on a magnetic resonance coupling technology is integrated at the bottom of the unmanned aerial vehicle cabin, and the unmanned aerial vehicle cabin can automatically sense and establish high-efficiency charging connection after the unmanned aerial vehicle falls in place, and meanwhile has the primary detection function of the battery capacity, the appearance of a machine body and the working state of key parts of the unmanned aerial vehicle.
4. The unmanned aerial vehicle on-road parking space inspection system of claim 1, wherein the control module realizes unified scheduling of unmanned aerial vehicle groups through a cloud server, and can accurately set targeted inspection time according to the functional characteristics, parking requirement rules and traffic control requirements of different areas of a city, wherein the inspection time comprises key inspection time periods before a business area working day peak, before a hospital visit peak and before school attendance.
5. The unmanned aerial vehicle in-road parking space inspection system of claim 4, wherein the control module combines a Geographic Information System (GIS) technology, high-precision road map data and parking space distribution data, supports manual planning or automatically generates an optimal inspection route through an intelligent algorithm, synchronously avoids the influence of no-fly areas and building shielding during planning, meets the requirements of flight safety distance, has the dynamic adaptation capability of adjusting the route in real time according to road condition changes such as road construction, traffic accidents and the like, and integrates a Global Positioning System (GPS) navigation technology, so that the position, speed and gesture information of an unmanned aerial vehicle can be obtained in real time and navigation support is provided.
6. The system for inspecting the parking space in the unmanned aerial vehicle road according to claim 1, wherein the unmanned aerial vehicle automatically opens a cabin door after receiving the instruction of the control module when taking off, the unmanned aerial vehicle monitors the environmental information such as wind speed, wind direction, air pressure, temperature and the like through the carried high-precision sensor and adjusts the flying gesture, the unmanned aerial vehicle dynamically optimizes the flying height and speed according to the surrounding environment of the road in the flying process, improves the height and speed on the open non-shielding road, reduces the height and speed in a dense area of a building, a narrow street or a complex obstacle area, and the camera shoots the image of the parking space at fixed intervals of 2-3 seconds.
7. The unmanned aerial vehicle in-road parking space inspection system of claim 6, wherein the unmanned aerial vehicle is provided with an image recognition algorithm based on a deep learning technology, an image analysis model is built through training of a large number of parking space image samples, the parking space occupation state can be rapidly judged, license plate numbers can be accurately recognized, abnormal conditions such as sundries and non-motor vehicle occupation can be automatically marked, the image recognition algorithm can automatically optimize parameters according to photographed image quality, and image enhancement parameters can be adjusted when light is dark so as to improve recognition accuracy.
8. The unmanned aerial vehicle intra-road parking space inspection system of claim 1, wherein the data transmission module adopts a 4G/5G communication technology, has high-speed and low-delay transmission characteristics, adopts a multiple encryption technology to encrypt transmission data, and simultaneously automatically detects and corrects transmission errors caused by signal interference and network fluctuation through an error correction technology, so that the safety and the integrity of data transmission are ensured.
9. The unmanned aerial vehicle intra-road parking space inspection system of claim 8, wherein the data processing center is provided with a high-performance server, a multi-model fusion recognition algorithm is adopted to perform secondary verification on transmission data, recognition accuracy is improved by combining license plate numbers with character segmentation, feature extraction and classification technology, multi-dimensional verification is performed by combining parking space occupation state with time sequence analysis, space distribution analysis and historical data comparison analysis, and analysis results are stored in a database by the data processing center to generate a daily statement, a weekly statement, a monthly statement and an abnormal occupation situation statistical statement of parking space use conditions.
10. The unmanned aerial vehicle in-road parking space inspection system of claim 3, wherein after the unmanned aerial vehicle is inspected, the unmanned aerial vehicle accurately lands at a designated position by adjusting the flying attitude and speed through real-time communication interaction with a cabin of the unmanned aerial vehicle according to a landing instruction of a control module, and the cabin of the unmanned aerial vehicle uploads state detection information to the control module to support a manager to arrange periodic maintenance of the unmanned aerial vehicle according to the information, including wearing part replacement, battery depth detection and maintenance and flight control system calibration.

Description

Unmanned aerial vehicle on-road parking stall inspection system Technical Field The invention relates to the technical field of unmanned aerial vehicle inspection, in particular to an unmanned aerial vehicle in-road parking space inspection system. Background In an urban parking management system, in-road parking space inspection is a key link for guaranteeing efficient utilization of parking resources and supporting management decisions. At present, the inspection work in the field mainly depends on a manual mode carried by a traditional two-wheeled electric vehicle, however, the mode has a plurality of inherent defects which are difficult to overcome, and the inspection work cannot adapt to the development requirement of urban traffic management. From the viewpoint of inspection efficiency, the two-wheeled electric vehicle is limited by running speed and cruising ability, is difficult to realize comprehensive and rapid coverage when facing to the inspection task of a large-area and high-density parking space in the urban range, and can not even enter due to the blocking of the electric vehicle passing in the areas with complex geographic environments, such as mountain winding roads, narrow street lanes and the like, so that a large number of inspection blind areas exist. Meanwhile, the traffic conditions have extremely obvious interference on the inspection work, and in the crowded period such as the peak in the morning and evening, the electric vehicle is easy to be trapped in the traffic flow, so that the inspection is interrupted or seriously delayed, the timeliness of the inspection is further reduced, and in the aspect of inspection accuracy, the manual judgment is greatly influenced by subjective factors and environmental conditions. When the conditions of dim light, fuzzy parking space identification, complex vehicle parking posture or shielding exist, the problem of missed detection and false detection is very easy to occur by the inspection personnel only by naked eyes, the parking data is distorted, the scientificity and effectiveness of urban parking management decisions are further affected, and as the urban scale is continuously expanded and the maintenance quantity of motor vehicles is rapidly increased, the urban parking management requirement is increasingly developed towards the direction of refinement and intellectualization, and higher requirements are put forward on the inspection efficiency, precision and coverage range. The limitations of the traditional manual inspection mode are more remarkable, the current management requirements cannot be met far, and a brand new high-efficiency inspection technical means is urgently needed to fill the gap. In recent years, unmanned aerial vehicle technology has made breakthrough progress, and the unmanned aerial vehicle technology shows remarkable advantages in aspects of maneuverability, flexibility, diversity of carried equipment and the like, and theoretically provides the possibility of efficient data acquisition for in-road parking space inspection. However, in practical application, a complete and mature system and method capable of fully exerting technical characteristics of the unmanned aerial vehicle are not formed at present, complex and changeable scenes (such as difference of parking requirements in different areas, sudden road conditions, accurate identification in complex environments and the like) and diversified requirements in urban parking management are difficult to deal with, so that potential of unmanned aerial vehicle technology cannot be effectively converted into actual inspection efficiency, and under the background, a set of in-road parking space inspection system which is adaptive to urban complex scenes and has high efficiency and accuracy is developed, so that the urgent requirements of current parking management pain point and promotion of urban parking management to intelligent upgrade are met. Disclosure of Invention The invention aims to provide an unmanned aerial vehicle in-road parking space inspection system, which aims to solve the problems in the background technology. The utility model provides an unmanned aerial vehicle on-road parking stall inspection system, includes collaborative unmanned aerial vehicle, unmanned aerial vehicle position, control module, data transmission module and data processing center, control module realizes the accurate collection of on-road parking stall state and management through integration intelligence inspection, the core implementation flow is that control module plans to patrol and examine the task and long-range dispatch unmanned aerial vehicle, unmanned aerial vehicle carries out to patrol and examine according to the planning route after taking off through unmanned aerial vehicle position, gathers the image and preliminary processing through carrying on equipment, data transmission module carries out the degree of depth analysis with data real-time transmission to data