Highway service area construction method considering low-altitude aircraft service

Abstract

The invention discloses an expressway service area construction method considering low-altitude aircraft service, and relates to the field of service area construction, and the method comprises the steps: determining the position information of a navigation base station, positioning a command scheduling area of a service area according to the position information, analyzing the flight data of a low-altitude aircraft, and obtaining a low-altitude aircraft scheduling result; the abnormal condition of the low-altitude aircraft in the cargo loading and unloading process is predicted, a path plan is made for the low-altitude aircraft based on the abnormal condition, and a cargo loading area and a take-off and landing area in the service area are determined through the path plan and historical people flow and vehicle data; generating a charging control strategy of the low-altitude aircraft by using the feature data of the low-altitude aircraft, and determining a charging area in the service area in combination with the path plan; and combining the commanding and dispatching area, the cargo loading area, the taking-off and landing area and the charging area to determine a construction scheme of the expressway service area. The emergency response capability of the service area is improved, and service interruption caused by abnormal conditions is reduced.

Description

Technical Field

[0001] The present invention relates to the field of service area construction, and in particular to a method for constructing a highway service area taking into account low-altitude aircraft services. Background Art

[0002] With the continuous increase in population and the number of motor vehicles, ground traffic congestion is becoming increasingly serious, greatly affecting travel efficiency. The ground transportation system is facing unprecedented challenges. Faced with this situation, the development and utilization of low-altitude areas has become a new idea to solve the problem of traffic congestion. Globally, the utilization of low-altitude areas is still in its infancy and has huge potential. Especially with the advancement of flying car technology and the increase in aerial vehicles, it is particularly urgent to build a highway service system suitable for low-altitude aircraft.

[0003] With the continuous advancement of technology, low-altitude aircraft are expected to become a part of daily life in the future, becoming as commonplace as ordinary cars in thousands of households. At that time, people will expect to be able to take off and land conveniently at highway service areas. This will not only require the design of integrated low-altitude aircraft service stations to be more user-friendly and intelligent, but also require a more flexible and diverse layout to adapt to the new trends in future urban transportation development.

[0004] As a key infrastructure supporting aircraft takeoff and landing, low-altitude aircraft service stations must not only have basic service functions, but also be specially designed according to the characteristics of low-altitude aircraft. Existing transportation service stations such as subway stations, airports and highway toll stations are difficult to directly serve low-altitude aircraft due to their single functions and geographical limitations. Although existing technologies have proposed integrated aircraft service station solutions based on highway service areas, such solutions often have problems such as narrow scope of application and inconvenience in use, and there is a lack of clear explanation of the specific functions of the service stations.

[0005] Specifically, the highway service areas in the existing technology lack effective docking with the low-altitude aircraft scheduling system when applied, and lack a response mechanism for the flight scheduling of low-altitude aircraft, which can easily cause conflicts and disharmony between low-altitude aircraft and ground traffic, affecting traffic safety. At the same time, the existing highway service areas are unable to infer the flight paths of low-altitude aircraft based on the cargo loading and unloading conditions of low-altitude aircraft, resulting in a lack of accuracy in the spatial layout of the service areas, affecting the scheduling efficiency and arrangement of low-altitude aircraft in the service areas, thereby limiting the highway service areas' ability to adapt to and integrate low-altitude flight technology.

[0006] Currently, no effective solutions have been proposed for the problems in related technologies. Summary of the Invention

[0007] In response to the problems in the related art, the present invention proposes a method for constructing a highway service area taking into account low-altitude aircraft services, so as to overcome the above-mentioned technical problems existing in the existing related art.

[0008] To this end, the specific technical solutions adopted in the present invention are as follows: A method for constructing a highway service area taking into account low-altitude aircraft services, the method comprising: Determine the location information of the navigation base station based on the signal transmission and processing requirements of low-altitude aircraft, locate the command and dispatch area of ​​the service area based on the location information, analyze the flight data of low-altitude aircraft, and obtain the low-altitude aircraft dispatch results; Based on historical transportation data and low-altitude aircraft scheduling results, predict abnormal conditions during the cargo loading and unloading process of low-altitude aircraft, and formulate a path plan for low-altitude aircraft based on abnormal conditions. The path plan and historical pedestrian and vehicle data are used to determine the cargo loading area and take-off and landing area within the service area. Utilizing the characteristic data of low-altitude aircraft and fuzzy logic control technology, a charging control strategy for low-altitude aircraft is generated, and the charging control strategy is combined with the path plan to determine the charging area within the service area; The command and dispatch area, cargo loading area, take-off and landing area, and charging area are combined as the location planning results to determine the construction plan of the highway service area.

[0009] Preferably, determining the location information of the navigation base station based on the signal transmission and processing requirements of the low-altitude aircraft, locating the command and dispatch area of ​​the service area according to the location information, and analyzing the flight data of the low-altitude aircraft to obtain the low-altitude aircraft dispatch result includes: Determine the geographical distribution of navigation base stations based on highway environmental information and the signal transmission and processing requirements of low-altitude aircraft, and locate the command and dispatch area of ​​the service area based on the geographical location; Generate a multipath effect correction mechanism and time synchronization mechanism based on the signal transmission requirements of low-altitude aircraft, and establish a differential correction mechanism based on the signal difference between the navigation base station and the low-altitude aircraft; Combine the multipath effect correction mechanism, time synchronization mechanism and differential correction mechanism to generate a command and dispatch platform and apply it to the command and dispatch area, and add security measures to the command and dispatch area; Obtain the flight data of low-altitude aircraft, and use data fusion technology to judge the flight trend of low-altitude aircraft, and generate flight scheduling results of low-altitude aircraft based on flight trends and simulation technology.

[0010] Preferably, the differential correction mechanism is to install a mobile station device on a low-altitude aircraft. Both the navigation base station and the low-altitude aircraft need to be equipped with navigation satellite receivers, and a communication link between the navigation base station and the mobile station is established through a wireless network.

[0011] Preferably, when the differential correction mechanism is applied, the navigation base station and the mobile station simultaneously collect carrier phase observation values, the navigation base station sends the carrier phase observation values ​​to the mobile station through a data link, and after the mobile station receives the carrier phase data from the navigation base station, it uses the relative position relationship and time to synchronize the carrier phase data information; An error elimination algorithm is used to eliminate the common mode error of the carrier phase data information to obtain the position solution, and the incremental value obtained by differential calculation is converted into the position information of the low-altitude aircraft.

[0012] Preferably, obtaining the flight data of the low-altitude aircraft, and combining data fusion technology to determine the flight trend of the low-altitude aircraft, and generating the flight scheduling result of the low-altitude aircraft based on the flight trend and simulation technology include: Satellite communications and radar are used to obtain information including the position, speed, and altitude of low-altitude aircraft, and flight data is combined with weather conditions and operational status at the highway location; After cleaning and format conversion of the flight data, data fusion technology is used to integrate the flight data based on time and space dimensions to obtain flight information of low-altitude aircraft; Obtain weather information for the future time period, conduct in-depth analysis of flight information based on weather information and pre-built statistical models, and predict air traffic flow based on the analysis results; Based on the air traffic flow prediction results and simulation technology, the flight trends of low-altitude aircraft are judged, the flight scheduling results of low-altitude aircraft are obtained, and a monitoring and dynamic adjustment mechanism is implemented during the execution of the flight scheduling results.

[0013] Preferably, judging the flight trend of low-altitude aircraft based on air traffic flow prediction results and simulation technology, obtaining the flight scheduling results of low-altitude aircraft, and implementing a monitoring and dynamic adjustment mechanism during the execution of the flight scheduling results include: Based on the air traffic flow forecast results, the flight scheduling objectives of low-altitude aircraft are clarified, and the performance parameters are obtained by combining the flight nature, flight area characteristics and technical specifications of low-altitude aircraft; A simulation platform is generated based on airspace division and constraints defined based on performance parameters and flight scheduling. Air traffic flow forecast results are input into the simulation platform, and the flight trends of low-altitude aircraft are determined based on the simulation results. A mathematical model for flight scheduling is constructed based on the flight trends and optimization objectives of low-altitude aircraft, and a linear programming optimization algorithm is used to solve the mathematical model and generate the flight scheduling results of low-altitude aircraft; During the execution of flight scheduling results, the changes in meteorological information are monitored in real time, and the flight scheduling results of low-altitude aircraft are adjusted according to the change monitoring results to achieve dynamic flight adjustment.

[0014] Preferably, abnormal conditions of low-altitude aircraft during cargo loading and unloading are predicted based on historical transportation data and low-altitude aircraft scheduling results, and a path plan is formulated for the low-altitude aircraft based on the abnormal conditions. The cargo loading area and take-off and landing area within the service area are determined using the path plan and historical pedestrian and vehicle data. An intelligent dispatching platform is established based on big data analysis and artificial intelligence technology. The intelligent dispatching platform is connected to the communication network covering the highway area, and the communication network is used to obtain status reports of low-altitude aircraft when executing dispatch results; Collect historical cargo transportation data and combine it with status reports to predict abnormal conditions of low-altitude aircraft during cargo loading and unloading, and formulate a path plan for low-altitude aircraft based on abnormal conditions; A risk assessment model is established based on the path plan and expected cargo loading and unloading needs, and the risk assessment model is used to analyze the safety factor of low-altitude aircraft when performing cargo loading and unloading; The execution of the route plan is verified based on the safety assurance factor, and the cargo loading area and take-off and landing areas within the service area are determined based on the execution level and historical pedestrian and vehicle traffic data.

[0015] Preferably, an intelligent dispatching platform is established based on big data analysis and artificial technology, and the intelligent dispatching platform is connected to a communication network covering the highway area, and the status report of the low-altitude aircraft when executing the dispatch results is obtained by using the communication network, including: Plan low-altitude aircraft flight missions based on the weight, volume, and destination of loaded and unloaded cargo, and establish an intelligent scheduling platform by combining flight missions with big data analysis and artificial intelligence technologies; Deploy communication base stations and sensors to receive status reports from low-altitude aircraft, establish a communication network covering the highway area and connect it to the intelligent dispatching platform, and send status reports to the intelligent dispatching platform; Based on machine vision and wireless radio frequency identification technology, the weight and volume information of the loaded cargo is extracted and sent to the intelligent scheduling platform. The driving status of the loading equipment is controlled according to the intelligent scheduling platform, and the loading equipment is used to load the cargo into the low-altitude aircraft.

[0016] Preferably, a risk assessment model is established based on the path plan and the expected cargo loading and unloading requirements, and the risk assessment model is used to analyze the safety factor of low-altitude aircraft when performing cargo loading and unloading, including: Obtain the flight length of low-altitude aircraft based on path planning, determine aircraft performance parameters based on expected cargo loading and unloading needs, and perform data cleaning and statistical analysis on flight length and aircraft performance parameters; Expert knowledge theory is used to identify potential risk factors affecting low-altitude aircraft operations in terms of flight length and aircraft performance parameters, and evaluation indicators are selected to quantify the weight of the impact of potential risk factors on low-altitude aircraft operations; A risk assessment model is constructed using impact weighting and tomography analysis technology to analyze the safety factor of low-altitude aircraft when performing cargo loading and unloading.

[0017] Preferably, the characteristic data of the low-altitude aircraft and fuzzy logic control technology are used to generate a charging control strategy for the low-altitude aircraft, and the charging control strategy is combined with the path plan to determine the charging areas within the service area, including: Collect the battery type, capacity, and expected range requirements of low-altitude aircraft to build a feature database, and combine real-time operation information with the feature database to identify the characteristics of low-altitude aircraft; Generate a preliminary charging control strategy based on the characteristic results and fuzzy logic control technology, and optimize the balance between charging efficiency and battery life according to real-time operating information; The balance relationship is used to adjust the preliminary charging control strategy, determine the charging control strategy for low-altitude aircraft, and dynamically plan the charging area within the highway service area based on the charging control strategy and path planning.

[0018] The beneficial effects of the present invention are: 1. The present invention accurately determines the location of navigation base stations, which can optimize the signal coverage range of low-altitude aircraft and improve the quality of signal transmission. It can locate the command and dispatch area of ​​the service area based on the location information, effectively centralize resource management, and improve the efficiency of dispatch. It can also predict abnormal conditions of low-altitude aircraft during cargo loading and unloading based on historical transportation data and dispatch results, which can improve the emergency response capability of the service area and reduce service interruptions caused by abnormal conditions.

[0019] 2. The present invention utilizes abnormal conditions to formulate a route plan, determines the cargo loading area and take-off and landing area within the service area, and effectively avoids abnormal conditions and improves the operational stability of low-altitude aircraft. Finally, the characteristic data of the low-altitude aircraft and fuzzy logic control technology are used to generate a charging control strategy to ensure the continuous operation capability of the low-altitude aircraft and reduce the interference of charging on scheduling and task execution, thereby realizing intelligent and modern service area management and promoting the development of low-altitude aircraft logistics services. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0021] Figure 1 is a flow chart of a method for constructing a highway service area considering low-altitude aircraft services according to an embodiment of the present invention; Figure 2 It is a service area construction layout diagram in a highway service area construction method considering low-altitude aircraft services according to an embodiment of the present invention. DETAILED DESCRIPTION

[0022] To further illustrate each embodiment, the present invention provides drawings, which are part of the disclosure of the present invention. They are mainly used to illustrate the embodiments and can be used in conjunction with the relevant descriptions in the specification to explain the operating principles of the embodiments. By referring to these contents, ordinary technicians in this field should be able to understand other possible implementation methods and the advantages of the present invention.

[0023] According to an embodiment of the present invention, a method for constructing a highway service area taking into account low-altitude aircraft services is provided.

[0024] The present invention will now be further described with reference to the accompanying drawings and specific embodiments. Figure 1 As shown, according to an embodiment of the present invention, a method for constructing a highway service area considering low-altitude aircraft services includes: Step S1, based on the signal transmission and processing requirements of the low-altitude aircraft, determine the location information of the navigation base station, locate the command and dispatch area of ​​the service area according to the location information, analyze the flight data of the low-altitude aircraft, and obtain the low-altitude aircraft dispatch result.

[0025] In one embodiment, when determining the location information of the navigation base station based on the signal transmission and processing requirements of the low-altitude aircraft, locating the command and dispatch area of ​​the service area according to the location information, analyzing the flight data of the low-altitude aircraft, and obtaining the low-altitude aircraft dispatch results, the geographical location distribution of the navigation base station can be determined based on the environmental information of the highway and the signal transmission and processing requirements of the low-altitude aircraft, so that the layout of the navigation base station can be optimized according to the environmental characteristics along the specific highway, which can improve the reliability of navigation and communication, avoid information interruption due to blind spots, obstructions and other factors, ensure the effective linkage between the low-altitude aircraft and the ground system, reduce the risk of conflict between flight and ground traffic, and locate the command and dispatch area of ​​the service area according to the geographical location, so that according to the reasonable layout of the navigation base station, the low-altitude aircraft can continuously and stably transmit location information and flight status information when passing through the highway service area on its flight path, provide basic conditions for the service area to establish an accurate command and dispatch area, solve the problem of information mismatch between the service area and the low-altitude aircraft, and enhance real-time monitoring and dispatch capabilities.

[0026] Based on the signal transmission requirements of low-altitude aircraft, a multipath effect correction mechanism and a time synchronization mechanism are generated, and a differential correction mechanism is established according to the signal difference between the navigation base station and the low-altitude aircraft; the multipath effect correction mechanism, the time synchronization mechanism and the differential correction mechanism are combined to generate a command and dispatch platform and applied to the command and dispatch area, and safety measures are added to the command and dispatch area. Due to the accuracy and stability of low-altitude aircraft positioning and signal transmission, especially in complex environments or multipath interference scenarios, position errors are effectively eliminated, ensuring that the flight data obtained during the dispatch process is accurate and reliable, thereby enhancing the service area's ability to respond to low-altitude flight dynamics and reducing dispatch incoordination caused by information lag.

[0027] Obtain flight data of low-altitude aircraft, and use data fusion technology to judge the flight trends of low-altitude aircraft. Generate flight scheduling results for low-altitude aircraft based on flight trends and simulation technology. Then, through multi-source data fusion, the status and trends of low-altitude aircraft can be fully and dynamically grasped, flight paths can be predicted in advance, and scientific scheduling plans can be formulated to enable service areas to have forward-looking response capabilities, avoid situations where aircraft suddenly enter the service area while the service area is unprepared, and reduce the probability of air-to-ground traffic conflicts.

[0028] Specifically, the command and dispatch area proposed in this embodiment serves as the core center of the entire service area, responsible for monitoring the status information of all vehicles in the area, adjusting resource allocation based on real-time data, and optimizing flight arrangements. The command and dispatch area is the brain of the entire service area, responsible for comprehensive command and dispatch work, ensuring the smooth operation of various functions of the service area, realizing route planning, air traffic management, emergency response, etc. of low-altitude aircraft, ensuring the efficient and safe use of low-altitude aircraft, and providing continuous tracking and navigation services for low-altitude aircraft. In addition, by collecting and analyzing air traffic flow data, the command and dispatch area can formulate more scientific and reasonable dispatch strategies, effectively prevent the occurrence of air traffic congestion, and provide strong data support for aircraft safety management and accident prevention. All dispatch instructions are issued by the command and dispatch area, and through linkage with the low-altitude traffic management center, the smoothness and safety of air routes are maintained.

[0029] The high-precision navigation base station network for low-altitude aircraft is a cutting-edge technology designed to provide precise location information for drones, small aircraft, and other aircraft. This technology achieves precise positioning and navigation services for low-altitude aircraft by deploying a series of high-precision positioning base stations on the ground and combining them with advanced signal processing techniques and algorithms. The following is a detailed description of its specific implementation: The purpose of base stations is to ensure that all low-altitude aircraft within the coverage area can receive strong and stable signals. The layout of base stations needs to be carefully planned. Specifically, in the environment near villages and towns and take-off and landing areas, due to the dense buildings, base stations need to be arranged more densely to overcome the problem of signal blocking. In open areas such as along highways, the base station density can be appropriately reduced. At the same time, each base station is equipped with a high-performance antenna system and a dedicated data processor. These devices can receive time synchronization signals from satellites (such as GPS, Beidou) or other reference points, and calculate extremely precise location coordinates through internal algorithms.

[0030] Multipath correction technology can be used during signal transmission and processing. Because radio signals can be subject to errors due to reflection and refraction during transmission, it is crucial to employ advanced signal processing techniques to identify and eliminate these interference factors. Multipath correction technology significantly improves positioning accuracy, ensuring that even low-altitude aircraft receive a strong and stable signal.

[0031] The time synchronization mechanism is a time reference that must be maintained highly consistent between all base stations participating in the positioning service. It usually relies on atomic clocks or network protocols to achieve microsecond or even nanosecond synchronization accuracy. This high degree of time synchronization is the key to achieving high-precision positioning. The differential correction technology can further improve positioning accuracy by comparing the signal difference between a fixed reference station with a known position and a moving target. This method is widely used in RTK (Real-time Kinematic Carrier Phase Differential) technology, which enables positioning accuracy to reach the centimeter level. Specifically, a GNSS base station (Global Navigation Satellite The Global Navigation Satellite System (GNSS) is a satellite navigation system designed to provide all-weather three-dimensional coordinate, velocity, and time information for any location on the Earth's surface or in near-Earth space. A rover device is installed on a moving target, both of which are equipped with high-precision GNSS receivers. A communication link is established between the base station and the rover through wireless networks, GPRS / 4G / 5G, or dedicated radio to ensure real-time transmission of differential data. The base station and the rover simultaneously collect carrier phase observations, which the base station sends to the rover via a data link. After receiving the carrier phase data from the base station, the rover uses relative position and time synchronization information, employs a specific algorithm to eliminate common-mode errors, and obtains a high-precision position solution. The incremental value obtained from the differential solution is converted into position information within the target coordinate system and output to applications or other devices for use. Based on feedback from the application effect, parameter configuration is adjusted, such as increasing the number of reference satellites and improving model assumptions, to further improve positioning accuracy and reliability.

[0032] In one embodiment, when obtaining flight data of low-altitude aircraft and combining data fusion technology to judge the flight trend of low-altitude aircraft, and generating flight scheduling results of low-altitude aircraft based on flight trends and simulation technology, satellite communication and radar can be used to obtain information including the position, speed and altitude of low-altitude aircraft, and the flight data can be combined in combination with the weather conditions and operation status at the highway location; after cleaning and format conversion of the flight data, data fusion technology is used to comprehensively integrate the flight data based on time and space dimensions to obtain flight information of low-altitude aircraft; meteorological information in the future time period is obtained, and the flight information is deeply analyzed based on the meteorological information and a pre-built statistical model, and the air traffic flow is predicted according to the analysis results, so that the traffic density and dynamic changes of the low-altitude airspace can be perceived in advance through comprehensive analysis of spatiotemporal data, and the service area can be assisted to scientifically arrange ground transportation and airspace resources, alleviate the pressure of air-ground coordination, and improve overall safety.

[0033] Based on the air traffic flow prediction results and simulation technology, the flight trends of low-altitude aircraft are judged, the flight scheduling results of low-altitude aircraft are obtained, and a monitoring and dynamic adjustment mechanism is implemented during the execution of the flight scheduling results to realize dynamic closed-loop management of low-altitude aircraft flight scheduling. Even if the flight environment or traffic flow changes, the scheduling plan can still be adjusted in real time to improve the flexible response capabilities of the service area and avoid traffic incoordination problems caused by information lag or rigid decision-making.

[0034] Specifically, in the process of using data fusion technology to comprehensively integrate flight data, data fusion is achieved through Kalman filtering. The Kalman filtering method recursively estimates the system state and combines data from multiple sensors or observation sources. This process can be divided into two main steps: prediction and update. First, in the prediction stage, based on the state estimate value at the previous moment and the system model, the state prediction value at the current moment and its covariance matrix are calculated. The system model used here is usually a linear model that describes the relationship between the state and time. For nonlinear systems, an extended Kalman filter (EKF) or an unscented Kalman filter (UKF) is required. ) and other variants. The output of the prediction phase is the basis for the next update phase, which then enters the update phase. At this time, the latest observation information is combined with the prediction results to obtain a more accurate state estimate. Specifically, a quantity called the Kalman gain is first calculated, which reflects the degree of influence of the new measurement on the final estimate. This gain is used to adjust the previous prediction value and correct the uncertainty of the state estimate accordingly. The updated state estimate not only takes into account the dynamic characteristics of the system, but also fully absorbs the latest available information, thereby improving the overall accuracy. In short, through the above prediction-update cycle, the Kalman filter can continuously optimize its understanding of the system state.

[0035] To prevent malicious attackers from tampering with or forging positioning information, all transmitted data should be strictly encrypted using advanced encryption algorithms to ensure data security and integrity. Appropriate encryption technologies should be selected based on specific needs in specific applications. Symmetric encryption algorithms such as AES (Advanced Encryption Standard) are used for encrypting large amounts of data. For key exchange and digital signatures, asymmetric encryption methods under the public key cryptosystem are used. Specifically, RSA or ECC (elliptic curve cryptography) can be used. To further enhance data protection mechanisms, hash functions can be used to ensure information integrity. Message authentication codes (MACs) can also be introduced to generate checksums based on a shared key. Only two parties holding the same key can verify its correctness. This not only provides integrity assurance but also adds authentication capabilities. Multi-layered security strategies should also be considered to address complex and changing threat environments. For example, TLS / SSL protocols should be used to establish secure channels during transmission to prevent man-in-the-middle attacks, and key material should be regularly updated and rotated to reduce the risks of long-term exposure.

[0036] A fault detection and recovery monitoring system is also established. Once an abnormal situation is found in a node, the backup plan can be quickly activated to ensure the continuous and stable operation of the entire network. Specifically, the functions of the monitoring system include: recording system status, performance indicators and event information through various sensors and logs, collecting key performance indicators such as CPU usage, memory usage, disk I / O, network traffic, and recording various events in the system, such as errors, warnings, informational messages, etc.; storing time series data, storing system logs and storing structured data, etc.; data processing and analysis, using stream processing technologies (such as Kafka, Flink) to process and analyze real-time data, regularly batch process historical data, and generate reports and statistics Information, providing an intuitive graphical interface to display key performance indicators and system status; alarm pre-communication system, the alarm panel displays current alarm information and historical alarm records, automatically generates periodic performance reports and health check reports, defines thresholds for triggering alarms, and sends alarm information through multiple channels, such as email, SMS, etc.; automatic repair, when certain problems are detected, automatically executes predefined repair scripts or operations, such as restarting services, adjusting configurations, etc., and automatically switches to the backup system when the main system fails to ensure service continuity; monitors abnormal activities in the system, detects potential security threats, regularly scans security vulnerabilities in the system, and provides repair suggestions to ensure that the system complies with relevant safety standards and regulatory requirements.

[0037] According to the content of the high-precision navigation base station network, an efficient and reliable low-altitude aircraft high-precision navigation base station network is constructed to provide strong technical support for the widespread application of low-altitude aircraft.

[0038] In one embodiment, when judging the flight trend of low-altitude aircraft based on air traffic flow prediction results and simulation technology, obtaining the flight scheduling results of low-altitude aircraft, and implementing a monitoring and dynamic adjustment mechanism during the execution of the flight scheduling results, the flight scheduling goals of low-altitude aircraft can be clarified based on the air traffic flow prediction results, and performance parameters can be obtained in combination with the flight nature, flight area characteristics and technical specifications of the low-altitude aircraft; based on the performance parameters and flight scheduling, airspace division and constraints are defined to generate a simulation platform, and the air traffic flow prediction results are input into the simulation platform, and the flight trend of the low-altitude aircraft is judged according to the simulation results; a mathematical model of flight scheduling is constructed based on the flight trend of the low-altitude aircraft and the optimization goal, and a linear programming optimization algorithm is used to solve and retrieve the mathematical model to generate the flight scheduling results of the low-altitude aircraft; during the execution of the flight scheduling results, changes in meteorological information are monitored in real time, and the flight scheduling results of the low-altitude aircraft are adjusted according to the change monitoring results to achieve dynamic flight adjustment, thereby ensuring that flight scheduling always fits the actual environment and needs, avoiding conflicts between low-altitude aircraft and ground traffic, and improving the safety and coordination level of overall traffic operations.

[0039] When formulating aircraft service scheduling, analysis and application based on air traffic flow data is a scientific approach to transforming massive amounts of data into effective strategies to guide actual operations. Specifically, through various means such as sensor technology, radar systems, and satellite communications, multi-source data including real-time information such as the position, speed, and altitude of low-altitude aircraft, as well as external factors such as weather conditions and service area operating status, is collected. Efficient data processing platforms are then used to clean, convert, and integrate these raw data to form a unified standard data set. The data cleaning process removes noise and outliers to ensure data quality. Format conversion makes data from different sources compatible and effectively utilized. Finally, data fusion technology is used to integrate various types of information, laying the foundation for subsequent analysis. The data fusion process targets information containing time and space dimensions. Spatiotemporal data fusion aims to comprehensively consider these two factors to achieve a more comprehensive understanding. For example, in traffic management, the historical records of low-altitude aircraft and current road conditions are combined to predict future trends. This type of fusion requires an efficient spatial indexing mechanism and strong spatiotemporal data analysis capabilities.

[0040] At the same time, machine learning algorithms and statistical models are used to conduct in-depth analysis of historical and real-time data to reveal the inherent correlation between factors such as the flight trajectories and time delays of low-altitude aircraft. Specifically, support vector machines (SVM), random forests (RF) and neural networks can be used, combined with the latest weather forecasts and other relevant information to accurately predict air traffic flow in the future. Specifically, methods based on time series analysis can be used to capture seasonal changes and cyclical fluctuations, thereby improving forecast accuracy. This step is crucial for understanding the current situation and providing a scientific basis for subsequent decision-making. It helps the command and dispatch center to rationally plan capacity allocation and reduce unnecessary waiting time and resource waste.

[0041] Based on the results of trend forecast analysis, operations research methods such as linear programming and genetic algorithms are used to design the optimal low-altitude aircraft scheduling plan. This step requires comprehensive consideration of multiple objective functions such as maintaining safe intervals, optimizing fuel consumption, and improving passenger experience. Linear programming can find the global optimal solution under a series of constraints, while genetic algorithms are suitable for solving large-scale combinatorial optimization problems. Solutions are further improved through techniques such as simulated annealing or particle swarm optimization to ensure reasonable resource allocation while maximizing overall operational efficiency. At the same time, when using operations research methods to design low-altitude aircraft scheduling plans, it is necessary to comprehensively consider multiple factors, including aircraft performance parameters, mission requirements, environmental conditions, and safety constraints. The specific steps and content are as follows: First, clarify the scheduling objectives, such as minimizing the total flight time, maximizing the mission completion rate, or ensuring flight safety. At the same time, clearly define the problem background, such as the aircraft type (cargo, passenger, etc.), the characteristics of the flight area (plains, hills, mountains, etc.), and the nature of the mission (cargo transportation, emergency rescue, and manned, etc.). Collect relevant data, including but not limited to the technical specifications of the aircraft, take-off and landing point location information, weather forecast data, etc., and perform preliminary processing and analysis on these data to support subsequent model construction. Based on the above preparations, select appropriate operations research tools (such as linear programming, integer programming, dynamic programming, etc.) to establish an optimization model that can reflect the actual situation. In this process, all known constraints must be fully considered to ensure the effectiveness and practicality of the model.

[0042] For the established mathematical model, the corresponding algorithm is selected or developed to solve it. The effectiveness of the model and algorithm can be tested through simulation and other methods, and the original plan can be modified and improved as necessary based on the test feedback. In addition, the actual operation results need to be evaluated regularly to facilitate the continuous improvement of the scheduling strategy.

[0043] The specific content of the scheduling plan usually includes the following aspects: specifying a specific take-off time for each aircraft; drawing the optimal path based on the destination location and obstacle distribution; rationally allocating human and material resources to ensure the smooth completion of the mission; formulating response measures in advance for various abnormal situations that may arise; and evaluating the cost-benefit ratio of the entire scheduling plan from an economic perspective.

[0044] After entering the execution phase, changes in key indicators are continuously monitored, and the original plan is adjusted in a timely manner according to the latest progress. Specifically, when encountering unforeseen events such as sudden severe weather or mechanical failures, the emergency plan can be quickly activated and the aircraft flight schedule can be flexibly adjusted to ensure the safe and smooth operation of the entire low-altitude flight network. The use of Internet of Things (IoT) technology and edge computing can achieve real-time monitoring and rapid response, reduce the negative impact of delays, and establish an effective communication mechanism to ensure that all relevant parties can obtain updated information in a timely manner and take corresponding measures.

[0045] In short, aircraft service scheduling based on air traffic flow data is a complex project that highly integrates advanced technologies and intelligent decision-making support systems. It is a dynamic adjustment process that uses cutting-edge technologies such as big data and cloud computing to achieve efficient and accurate management.

[0046] Step S2: predict abnormal conditions of low-altitude aircraft during cargo loading and unloading based on historical transportation data and low-altitude aircraft scheduling results, and formulate a path plan for the low-altitude aircraft based on the abnormal conditions. Use the path plan and historical pedestrian and vehicle data to determine the cargo loading area and take-off and landing area within the service area.

[0047] In one embodiment, when predicting abnormal conditions of low-altitude aircraft during cargo loading and unloading based on historical transportation data and low-altitude aircraft scheduling results, and formulating a path plan for the low-altitude aircraft based on the abnormal conditions, and using the path plan and historical pedestrian and vehicle data to determine the cargo loading area and take-off and landing area within the service area, an intelligent scheduling platform can be established based on big data analysis and artificial technology, and connected to a communication network covering the highway area based on the intelligent scheduling platform, and the communication network is used to obtain status reports of low-altitude aircraft when executing the scheduling results; historical cargo transportation data is collected, and combined with the status report, abnormal conditions of low-altitude aircraft during cargo loading and unloading are predicted, and a path plan is formulated for the low-altitude aircraft based on the abnormal conditions. Therefore, by analyzing and predicting historical transportation data and low-altitude aircraft scheduling results, potential abnormal conditions, such as delays or equipment failures during loading and unloading, can be accurately identified, providing forward-looking information to the service area, and helping to dynamically adjust the aircraft's path plan based on abnormal conditions, thereby ensuring that the requirements of low-altitude flight technology can be better adapted in actual operations and improving the accuracy of flight scheduling.

[0048] A risk assessment model is established based on the path plan and expected cargo loading and unloading needs, and the risk assessment model is used to analyze the safety factor of low-altitude aircraft when performing cargo loading and unloading; the execution degree of the path plan is verified according to the safety factor, and the cargo loading area and take-off and landing area in the service area are determined based on the execution degree and historical pedestrian and vehicle data. Therefore, based on the prediction of abnormal conditions, a more reasonable path plan can be formulated for low-altitude aircraft to avoid conflicts with other aircraft or ground traffic. At the same time, combined with the path plan and historical pedestrian and vehicle data, the service area can accurately determine the location of the cargo loading area and take-off and landing area, optimize the spatial layout, improve the efficiency of aircraft scheduling and the utilization of space resources, and reduce scheduling confusion and delays caused by path incoordination.

[0049] Specifically, the highway service area proposed in this embodiment sets up a special cargo loading and unloading area for low-altitude aircraft for logistics purposes, equipped with automated loading and unloading equipment to improve logistics efficiency and ensure cargo safety. The logistics and cargo loading and unloading area is set up next to the cargo low-altitude aircraft docking area, aiming to serve the growing demand for drone logistics and distribution. This area should be equipped with an efficient cargo handling system that can quickly complete the loading and unloading operations of cargo and improve the logistics efficiency of the service area. Optimizing the cargo handling process of low-altitude aircraft in service areas to speed up cargo turnover and achieve effective conversion from low-altitude aircraft to trucks is a complex and multi-dimensional task. This process requires not only innovation and improvement at the technical level, but also comprehensive considerations of multiple dimensions such as management, planning, and safety. The following are several key steps and their detailed descriptions: Establishing an intelligent scheduling platform based on the combination of big data analysis and artificial intelligence algorithms is the core of improving logistics efficiency. By collecting and analyzing historical transportation data (such as weather conditions, traffic flow, aircraft performance, etc.), it predicts possible future situations and formulates the optimal path plan for each drone or aircraft. At the same time, the system can dynamically adjust the plan according to real-time conditions to ensure a rapid response even in emergencies. In addition, the intelligent scheduling system can also improve overall operational efficiency by optimizing the take-off and landing times of aircraft, reducing waiting time and air congestion, and using blockchain technology to enhance supply chain transparency and ensure the authenticity and integrity of cargo information; using Internet of Things technology to monitor changes in cargo status and realize full-process visual management.

[0050] The intelligent dispatching platform, during its establishment, includes the following functions: flight mission planning and optimization, cargo identification and loading automation functions, real-time monitoring and communication network, safety protection mechanism, data analysis and prediction model and user interaction interface; Flight mission planning and optimization is responsible for automatically calculating the optimal flight path based on factors such as cargo weight, volume, and destination location. This function should also have the ability to adjust the route in real time to respond to emergencies such as weather changes or air traffic control.

[0051] The cargo identification and loading automation function uses advanced machine vision technology and RFID tags to quickly and accurately identify and classify items to be transported; and uses robotic arms or other automated equipment to complete the loading of cargo from the warehouse to the cabin of low-altitude aircraft, improving efficiency while reducing human error.

[0052] The real-time monitoring and communication network is to establish a powerful communication network covering the entire road network area to ensure that the ground control center can receive status reports from each aircraft (including location information, battery power, etc.) at any time and send instructions. In addition, it must be equipped with high-definition cameras and other sensor devices for remote monitoring of the situation during the flight.

[0053] The safety protection mechanism is to design multi-level security measures to prevent potential risks, such as setting up electronic fences to limit the range of drone activities and implementing emergency landing procedures to take immediate action to avoid accidents when abnormal signals are detected; in addition, issues such as data encryption transmission must also be considered.

[0054] Data analysis and prediction models collect historical operational data and use big data analysis technology to extract valuable information, such as peak hour predictions and failure rate statistics, to help managers make more scientific and reasonable decisions. At the same time, more accurate demand prediction algorithms can also be developed based on these insights to further improve service levels.

[0055] The user interface is to provide customers with a friendly and easy-to-use operating platform that supports functions such as tracking order status; at the same time, there must be a dedicated service hotline and technical support team to answer questions and handle complaints.

[0056] Standardized loading and unloading procedures are designed to reduce time delays caused by human factors. Loading and unloading operations involving the transfer of cargo from aircraft to ground vehicles (such as trucks) require standardized management. This includes using uniformly specified packaging boxes, designing efficient automated handling equipment (such as automated guided vehicles (AGVs), and training professionals to perform tasks according to established procedures. Standardized packaging boxes not only simplify the loading and unloading process but also effectively protect cargo from damage. The use of automated handling equipment can significantly reduce labor costs and increase operation speed. Furthermore, the introduction of RFID tags and barcode scanning technology allows for full tracking of cargo, ensuring transparency and traceability at every stage.

[0057] In one embodiment, an intelligent scheduling platform is established based on big data analysis and artificial intelligence technology, and a communication network covering the highway area is connected to the intelligent scheduling platform. When the communication network is used to obtain the status report of the low-altitude aircraft when executing the scheduling result, the flight mission of the low-altitude aircraft can be planned based on the weight information, volume and destination of the loaded and unloaded goods, and the flight mission is combined with big data analysis technology and artificial intelligence technology to establish an intelligent scheduling platform; communication base stations and sensors are deployed to receive the status report of the low-altitude aircraft, and a communication network covering the highway area is established to connect with the intelligent scheduling platform, and the status report is sent to the intelligent scheduling platform. At the same time, through big data analysis and artificial intelligence technology, the intelligent scheduling platform It can monitor the flight status of low-altitude aircraft in real time and intelligently optimize the flight path and scheduling plan based on real-time data, which not only enhances the adaptability of the service area, but also through the coverage of the communication network, enables the scheduling of aircraft to be accurately connected with the resource allocation and spatial layout of the service area, greatly improving the scheduling efficiency and the coordination of aircraft operations. At the same time, it obtains aircraft status reports in real time and can provide the service area with accurate flight information (such as location, speed, expected arrival time, etc.). The service area can optimize the aircraft's path arrangement and cargo loading and unloading arrangements based on the information, improve the service area's dynamic adaptability to low-altitude aircraft, and ensure that there is no incoordination in aircraft scheduling and path planning.

[0058] Based on machine vision and wireless radio frequency identification technology, the weight and volume information of the loaded cargo is extracted and sent to the intelligent scheduling platform. The driving status of the loading equipment is controlled according to the intelligent scheduling platform, and the loading equipment is used to load the cargo into the low-altitude aircraft. By extracting the weight and volume information of the loaded and unloaded cargo and combining it with the destination, the service area can plan the flight mission of the low-altitude aircraft more accurately, and reasonably plan the flight path according to the aircraft performance and mission requirements. Through precise path planning, the service area pre-sets the location of the cargo loading and unloading area and the take-off and landing area according to the flight mission, thereby improving the utilization efficiency of space resources and avoiding scheduling problems caused by unreasonable space arrangement.

[0059] In one embodiment, when a risk assessment model is established based on the path plan and expected cargo loading and unloading needs, and the risk assessment model is used to analyze the safety factor of low-altitude aircraft when performing cargo loading and unloading, the flight length of the low-altitude aircraft can be obtained based on the path plan, and the aircraft performance parameters can be determined according to the expected cargo loading and unloading needs. Data cleaning and statistical analysis are performed on the flight length and aircraft performance parameters. Through accurate analysis of the flight length and aircraft performance, the service area can better understand the specific needs and limitations of the aircraft, and avoid scheduling errors caused by performance mismatch.

[0060] Expert knowledge theory is used to identify potential risk factors affecting the operation of low-altitude aircraft in flight length and aircraft performance parameters, and evaluation indicators are selected to quantify the impact weights of potential risk factors on the operation of low-altitude aircraft; a risk assessment model is constructed using impact weights and tomographic analysis technology to analyze the safety assurance factor of low-altitude aircraft when performing cargo loading and unloading. Through expert knowledge and tomographic analysis technology, service areas can identify and quantify potential risk factors that low-altitude aircraft may face during the execution of their missions. The quantification and weight assessment of these factors will help service areas make more accurate adjustments in path planning and aircraft scheduling, avoiding improper aircraft paths or irrational space use due to the failure to effectively identify and respond to potential risks.

[0061] At the same time, as the low-altitude logistics network continues to expand, ensuring its safety requires the establishment of robust risk assessment models, the implementation of strict quality control standards, and regular emergency drills. Risk assessment models can combine historical data with real-time monitoring information to identify potential safety hazards and propose corresponding preventive measures. Quality control standards should cover aircraft maintenance, cargo packaging, loading and unloading operations, and other aspects to ensure that every step meets safety requirements. Emergency drills can help relevant personnel familiarize themselves with emergency plans and improve their ability to respond to emergencies. Furthermore, it is necessary to strengthen the study and compliance of relevant laws and regulations to ensure that every business is carried out in a legal and compliant manner.

[0062] Specifically, establishing a sound risk assessment model requires clarifying the purpose and expected outcomes of constructing a low-altitude logistics network risk assessment model, and determining the specific scope, objectives, and application scenarios of the risk assessment. Based on the set objectives, relevant basic information should be collected, including but not limited to weather conditions, geographical environment characteristics, low-altitude aircraft performance parameters, flight path design, etc., and the acquired data should be cleaned, formatted, and statistically analyzed as necessary to ensure data quality in the subsequent modeling process. Based on historical case studies, various potential risk factors that may affect low-altitude logistics operations should be identified. These factors can be divided into multiple dimensions such as natural conditions (such as climate change), technical problems (such as equipment failure), and human errors (such as improper operation). For each type of risk factor, appropriate evaluation indicators should be selected to quantify its impact on the system. The selection of indicators should be representative, measurable, and independent. In addition, the weight distribution between different indicators should be considered to reflect their importance in the overall risk assessment. Based on the preliminary preparation work, appropriate risk assessment methodologies and technical means should be selected, such as the analytic hierarchy process (AHP), fuzzy comprehensive evaluation (FCE), or machine learning algorithms. On this basis, the corresponding mathematical model should be customized and developed in combination with the characteristics of the actual scenario.

[0063] Through the above three aspects, a flexible and reliable service area low-altitude aircraft cargo handling ecosystem is built, which can not only significantly speed up the cargo turnover speed, but also provide users with a more convenient and comfortable experience.

[0064] At the same time, the design of the take-off and landing area for low-altitude aircraft must ensure a safe distance from the vehicle entry and exit area to reduce mutual interference. Taking into account the specific requirements of different types of low-altitude aircraft for take-off and landing space, the service area has specially set up multiple professional aprons of different specifications and equipped with advanced navigation assistance systems. These systems include but are not limited to high-precision GPS positioning, radar monitoring and automatic obstacle avoidance functions to ensure that take-off and landing operations can be completed safely even in complex weather conditions (such as fog, rain and snow).

[0065] Low-altitude aircraft parking areas can be further divided into cargo and passenger low-altitude aircraft parking areas based on their functions. For passenger low-altitude aircraft, the dedicated parking areas are extremely user-friendly, fully considering passenger safety and convenience. Upon entering these areas, passengers enjoy a range of services, including but not limited to fast-track security checkpoints, luggage storage, and information consultation. Dedicated connecting routes enable seamless connection between low-altitude aircraft and ground transportation (such as cars and buses), greatly facilitating passenger transfers and thus establishing an efficient and comfortable multimodal transport network.

[0066] The cargo low-altitude aircraft docking area focuses more on improving cargo transportation efficiency and safety. To meet the varying storage requirements of different cargo types, the area also features specialized facilities such as temperature-controlled warehouses and hazardous materials isolation areas. Furthermore, with the support of information technology, the entire loading and unloading process is highly automated, with examples like the use of robots for packaging and unpacking, and real-time monitoring of cargo status through IoT technology. This significantly improves work efficiency and reduces the risk of human error.

[0067] In short, whether it is passenger services for the general public or freight services for the commercial sector, the low-altitude aircraft docking area is a comprehensive service platform that integrates safety, convenience and intelligence.

[0068] In step S3, a charging control strategy for the low-altitude aircraft is generated using the characteristic data of the low-altitude aircraft and fuzzy logic control technology, and the charging control strategy is combined with the path plan to determine the charging area within the service area.

[0069] In one embodiment, when utilizing the characteristic data of low-altitude aircraft and fuzzy logic control technology to generate a charging control strategy for the low-altitude aircraft, and combining the charging control strategy with the path plan to determine the charging area within the service area, the battery type, capacity size, and expected range requirement of the low-altitude aircraft can be collected to construct a characteristic database, and the real-time operation information can be combined with the characteristic database to identify the characteristics of the low-altitude aircraft; a preliminary charging control strategy is generated based on the characteristic results and fuzzy logic control technology, and the balance relationship between charging efficiency and battery life is optimized according to the real-time operation information; the preliminary charging control strategy is adjusted using the balance relationship to determine the charging control strategy for the low-altitude aircraft, and the charging area is dynamically planned within the highway service area based on the charging control strategy and the path plan.

[0070] Given the limited range of low-altitude aircraft like drones, fast charging technology and backup battery reserves are crucial. Charging areas are equipped with dedicated charging stations to meet the charging needs of different types of electric low-altitude aircraft, while fuel-powered aircraft can also refuel. The introduction of adaptive adjustment technology based on the control of energy supply stations is an innovative measure aimed at significantly improving the efficiency and safety of aircraft charging. The core of this technology lies in the ability to dynamically adjust the charging rate based on the specific characteristics of the aircraft, thereby optimizing energy efficiency, extending battery life, and reducing potential safety risks. The following are several key steps and their detailed descriptions: First, it is crucial to build a comprehensive and accurate database of aircraft characteristics. This includes but is not limited to factors such as battery type (such as lithium-ion, nickel-cadmium, etc.), capacity, current charge level, and expected range requirements. With this detailed information, the most appropriate charging strategy can be preliminarily determined. For example, for aircraft carrying high-energy-density batteries with low remaining power, fast charging mode may be the best choice; while for equipment that is close to full charge or uses older battery models, a more gentle charging method should be adopted to avoid overheating or other damage.

[0071] Fuzzy logic controllers, designed based on fuzzy logic, demonstrate unique advantages in handling uncertainty when faced with complex and changing situations. By defining a series of fuzzy rules, such as "If the battery temperature is high and the remaining charge is low, then slowly increase the charging power," the system can flexibly respond to various conditions. This approach not only improves the system's robustness but also enhances its adaptability to environmental changes.

[0072] Genetic algorithm optimization is about finding the optimal solution in a specific scenario. Genetic algorithms provide an effective search method that simulates the evolutionary process in nature and iteratively improves the quality of candidate solutions until the global optimal solution is found. This method is particularly suitable for solving multi-objective optimization problems, such as considering the balance between charging speed and battery health status at the same time. The application of genetic algorithms not only improves the overall performance of the system, but also provides new ideas for solving complex optimization problems. By combining advanced adaptive adjustment technology and non-traditional algorithm models, intelligent and efficient charging areas can be achieved.

[0073] In step S4, the command and dispatch area, cargo loading area, take-off and landing area, and charging area are combined as the location planning result to determine the construction plan of the highway service area.

[0074] Specifically, highway service areas can also be designed with repair and maintenance centers. The repair and maintenance centers are equipped with professional maintenance workshops, well-trained technicians and advanced maintenance equipment to provide low-altitude aircraft with necessary maintenance services such as daily maintenance, troubleshooting and parts replacement, ensuring that each aircraft can maintain the best working condition, thereby ensuring the safety of passengers and the long-term stable operation of the aircraft. In the field of aircraft troubleshooting, making full use of the large amount of data accumulated during daily operation can not only significantly improve the accuracy of fault detection, but also provide a solid scientific basis for the formulation of more efficient and reasonable maintenance plans. In order to achieve this goal, some algorithm models that are less used in this field but have significant effects are introduced for in-depth data analysis and processing.

[0075] From the perspective of data collection, modern aircraft are equipped with a variety of advanced sensors that can monitor and record key parameters in real time, such as engine status, flight altitude, speed, and temperature changes. By deeply mining and analyzing historical data, abnormal patterns or trends can be identified, thereby issuing early warnings of potential failures, significantly improving flight safety.

[0076] When selecting algorithms suitable for such application scenarios, in addition to traditional time series analysis methods, cutting-edge technologies in the field of machine learning can also be explored. Specifically, deep learning models built based on long short-term memory networks (LSTMs) perform well in processing time-dependent sequence data and are suitable for predicting future system states. The random forest algorithm in ensemble learning has powerful classification capabilities and is particularly suitable for complex problems in high-dimensional feature spaces. In addition, support vector machines (SVMs) and their kernel function technology can effectively define the boundary between normal and abnormal working conditions even with small sample sizes, providing a new perspective for fault diagnosis.

[0077] By comprehensively applying advanced data analysis technology and intelligent algorithm models, valuable information can be extracted from massive amounts of historical data, helping engineers in repair and maintenance centers to discover potential problems with low-altitude aircraft earlier and take corresponding preventive measures, thereby avoiding major accidents.

[0078] At the same time, it can also be equipped with a comprehensive service area, which can be located in the front area of ​​the highway service area. It is not only a space for drivers to rest, dine and shop, but also an important node for modern traffic management. The interior design of the service area is warm and comfortable, equipped with a spacious and bright rest area, high-quality dining facilities and a wide range of goods for passengers to choose from. In addition, the area should also have an advanced information display system (such as a large high-definition display screen), which not only provides passing drivers with real-time weather forecasts, road conditions updates and other practical information, but more importantly, it can display the traffic conditions, operation trajectories and take-off and landing permission details of low-altitude aircraft.

[0079] The purpose of this embodiment is to design a forward-looking highway service area that takes low-altitude aircraft into consideration. This service area not only fully inherits the various functions of traditional service areas, but also optimizes the design for the needs of future low-altitude aircraft (such as electric vertical take-off and landing aircraft eVTOL, small drones, etc.). By introducing a series of innovative technologies and service facilities, this service area will become a key node connecting ground transportation and air transportation networks, promoting seamless connection of multi-modal transportation systems, and providing passengers and cargo with a more efficient and convenient travel experience. The highway service area that takes low-altitude aircraft services into consideration proposed in this embodiment includes take-off and landing areas for low-altitude aircraft, passenger and freight docking areas, command and dispatch centers, repair and maintenance centers, energy supply stations, and logistics and cargo loading and unloading areas. Figure 2 As shown, the highway service area includes a command and dispatch center, an emergency parking area for low-altitude aircraft, a parking area for cargo low-altitude aircraft, a dedicated take-off and landing area for low-altitude aircraft, a low-altitude aircraft energy supply station (charging station, battery swap station, hydrogen refueling station), a comprehensive service area, a vehicle energy supply station (charging station, battery swap station, hydrogen refueling station), a green isolation area, a small car parking area and a passenger low-altitude aircraft parking area.

[0080] The service area construction proposed in this embodiment not only meets the needs of ground vehicles, but also specifically adds service functions for low-altitude aircraft. Through zoning design and safety facilities, it ensures the safety of various types of transportation and passengers, and based on a reasonable layout and navigation system, it ensures that passengers and vehicles can quickly find the required services.

[0081] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for constructing a highway service area considering low-altitude aircraft services, characterized in that: The service area construction method includes: Determine the location information of the navigation base station based on the signal transmission and processing requirements of low-altitude aircraft, locate the command and dispatch area of ​​the service area based on the location information, analyze the flight data of low-altitude aircraft, and obtain the low-altitude aircraft dispatch results; Based on historical transportation data and low-altitude aircraft scheduling results, predict abnormal conditions during the cargo loading and unloading process of low-altitude aircraft, and formulate a path plan for low-altitude aircraft based on abnormal conditions. The path plan and historical pedestrian and vehicle data are used to determine the cargo loading area and take-off and landing area within the service area. Utilizing the characteristic data of low-altitude aircraft and fuzzy logic control technology, a charging control strategy for low-altitude aircraft is generated, and the charging control strategy is combined with the path plan to determine the charging area within the service area; The command and dispatch area, cargo loading area, take-off and landing area, and charging area are combined as the location planning results to determine the construction plan of the highway service area.

2. A method for constructing a highway service area considering low-altitude aircraft services according to claim 1, characterized in that: The method of determining the location information of the navigation base station based on the signal transmission and processing requirements of the low-altitude aircraft, locating the command and dispatch area of ​​the service area according to the location information, and analyzing the flight data of the low-altitude aircraft to obtain the low-altitude aircraft dispatch result includes: Determine the geographical distribution of navigation base stations based on highway environmental information and the signal transmission and processing requirements of low-altitude aircraft, and locate the command and dispatch area of ​​the service area based on the geographical location; Generate a multipath effect correction mechanism and time synchronization mechanism based on the signal transmission requirements of low-altitude aircraft, and establish a differential correction mechanism based on the signal difference between the navigation base station and the low-altitude aircraft; Combine the multipath effect correction mechanism, time synchronization mechanism and differential correction mechanism to generate a command and dispatch platform and apply it to the command and dispatch area, and add security measures to the command and dispatch area; Obtain the flight data of low-altitude aircraft, and use data fusion technology to judge the flight trend of low-altitude aircraft, and generate flight scheduling results of low-altitude aircraft based on flight trends and simulation technology.

3. A method for constructing a highway service area considering low-altitude aircraft services according to claim 2, characterized in that: The differential correction mechanism is to install a mobile station device on a low-altitude aircraft. Both the navigation base station and the low-altitude aircraft need to be equipped with navigation satellite receivers, and a communication link between the navigation base station and the mobile station is established through a wireless network.

4. A method for constructing a highway service area considering low-altitude aircraft services according to claim 3, characterized in that: The differential correction mechanism, when applied, utilizes the navigation base station and the rover to simultaneously collect carrier phase observation values. The navigation base station sends the carrier phase observation values ​​to the rover via a data link. After receiving the carrier phase data from the navigation base station, the rover synchronizes the carrier phase data information using the relative position relationship and time. An error elimination algorithm is used to eliminate the common mode error of the carrier phase data information to obtain the position solution, and the incremental value obtained by differential calculation is converted into the position information of the low-altitude aircraft.

5. The method for constructing a highway service area considering low-altitude aircraft services according to claim 1, characterized in that: The acquisition of flight data of low-altitude aircraft, and determination of flight trends of low-altitude aircraft by combining data fusion technology, and generation of flight scheduling results of low-altitude aircraft based on flight trends and simulation technology include: Satellite communications and radar are used to obtain information including the position, speed, and altitude of low-altitude aircraft, and flight data is combined with weather conditions and operational status at the highway location; After cleaning and format conversion of the flight data, data fusion technology is used to integrate the flight data based on time and space dimensions to obtain flight information of low-altitude aircraft; Obtain weather information for future time periods, conduct in-depth analysis of flight information based on this information and pre-built statistical models, and predict air traffic flow based on the analysis results; Based on the air traffic flow prediction results and simulation technology, the flight trends of low-altitude aircraft are judged, the flight scheduling results of low-altitude aircraft are obtained, and a monitoring and dynamic adjustment mechanism is implemented during the execution of the flight scheduling results.

6. A method for constructing a highway service area considering low-altitude aircraft services according to claim 5, characterized in that: The method of judging the flight trend of low-altitude aircraft based on air traffic flow prediction results and simulation technology, obtaining the flight scheduling results of low-altitude aircraft, and implementing a monitoring and dynamic adjustment mechanism during the execution of the flight scheduling results includes: Based on the air traffic flow forecast results, the flight scheduling objectives of low-altitude aircraft are clarified, and the performance parameters are obtained by combining the flight nature, flight area characteristics and technical specifications of low-altitude aircraft; A simulation platform is generated based on airspace division and constraints defined based on performance parameters and flight scheduling. Air traffic flow forecast results are input into the simulation platform, and the flight trends of low-altitude aircraft are determined based on the simulation results. A mathematical model for flight scheduling is constructed based on the flight trends and optimization objectives of low-altitude aircraft, and a linear programming optimization algorithm is used to solve and retrieve the mathematical model to generate the flight scheduling results of low-altitude aircraft; During the execution of flight scheduling results, the changes in meteorological information are monitored in real time, and the flight scheduling results of low-altitude aircraft are adjusted according to the change monitoring results to achieve dynamic flight adjustment.

7. A method for constructing a highway service area considering low-altitude aircraft services according to claim 6, characterized in that: The method of predicting abnormal conditions of low-altitude aircraft during cargo loading and unloading based on historical transportation data and low-altitude aircraft scheduling results, formulating a path plan for the low-altitude aircraft based on the abnormal conditions, and determining cargo loading areas and take-off and landing areas within the service area using the path plan and historical pedestrian and vehicle data includes: An intelligent dispatching platform is established based on big data analysis and artificial intelligence technology. The intelligent dispatching platform is connected to the communication network covering the highway area, and the communication network is used to obtain status reports of low-altitude aircraft when executing dispatch results; Collect historical cargo transportation data and combine it with status reports to predict abnormal conditions of low-altitude aircraft during cargo loading and unloading, and formulate a path plan for low-altitude aircraft based on abnormal conditions; A risk assessment model is established based on the path plan and expected cargo loading and unloading needs, and the risk assessment model is used to analyze the safety factor of low-altitude aircraft when performing cargo loading and unloading; The execution of the route plan is verified based on the safety assurance factor, and the cargo loading area and take-off and landing areas within the service area are determined based on the execution level and historical pedestrian and vehicle traffic data.

8. A method for constructing a highway service area considering low-altitude aircraft services according to claim 7, characterized in that: The intelligent dispatching platform is established based on big data analysis and artificial technology, and the communication network covering the highway area is connected to the intelligent dispatching platform. The status report of the low-altitude aircraft when executing the dispatching results is obtained by using the communication network. Plan low-altitude aircraft flight missions based on the weight, volume, and destination of loaded and unloaded cargo, and establish an intelligent scheduling platform by combining flight missions with big data analysis and artificial intelligence technologies; Deploy communication base stations and sensors to receive status reports from low-altitude aircraft, establish a communication network covering the highway area and connect it to the intelligent dispatching platform, and send status reports to the intelligent dispatching platform; Based on machine vision and wireless radio frequency identification technology, the weight and volume information of the loaded cargo is extracted and sent to the intelligent scheduling platform. The driving status of the loading equipment is controlled according to the intelligent scheduling platform, and the loading equipment is used to load the cargo into the low-altitude aircraft.

9. A method for constructing a highway service area considering low-altitude aircraft services according to claim 8, characterized in that: The risk assessment model is established based on the path plan and the expected cargo loading and unloading demand, and the safety factor of the low-altitude aircraft when performing cargo loading and unloading is analyzed using the risk assessment model, including: Obtain the flight length of low-altitude aircraft based on path planning, determine aircraft performance parameters based on expected cargo loading and unloading needs, and perform data cleaning and statistical analysis on flight length and aircraft performance parameters; Expert knowledge theory is used to identify potential risk factors affecting low-altitude aircraft operations in terms of flight length and aircraft performance parameters, and evaluation indicators are selected to quantify the weight of the impact of potential risk factors on low-altitude aircraft operations; A risk assessment model is constructed using impact weighting and tomography analysis technology to analyze the safety factor of low-altitude aircraft when performing cargo loading and unloading.

10. The method for constructing a highway service area considering low-altitude aircraft services according to claim 1, characterized in that: The method of utilizing the characteristic data of the low-altitude aircraft and the fuzzy logic control technology to generate a charging control strategy for the low-altitude aircraft and combining the charging control strategy with the path plan to determine the charging area within the service area includes: Collect the battery type, capacity, and expected range requirements of low-altitude aircraft to build a feature database, and combine real-time operation information with the feature database to identify the characteristics of low-altitude aircraft; Generate a preliminary charging control strategy based on the characteristic results and fuzzy logic control technology, and optimize the balance between charging efficiency and battery life according to real-time operating information; The balance relationship is used to adjust the preliminary charging control strategy, determine the charging control strategy for low-altitude aircraft, and dynamically plan the charging area within the highway service area based on the charging control strategy and path planning.

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