Low-altitude traffic service information fusion and interaction system and method

Abstract

The invention provides a low-altitude traffic service information fusion and interaction system and method, and relates to the technical field of low-altitude traffic management, and the system comprises a multi-source information collection module which is used for obtaining multi-dimensional data from different information sources; the dynamic weight information fusion module is used for calculating the dynamic weight of each information source based on the data credibility coefficient and the updating frequency factor of each information source, performing weighted fusion and generating low-altitude traffic comprehensive data; the traffic service information generation module is used for matching the low-altitude traffic comprehensive data with a preset service rule base to generate traffic service data; and the multi-terminal information interaction module is used for transmitting the traffic service data to different terminals by adopting different communication protocols. According to the system and the method provided by the invention, by integrating multi-dimensional information, the weight of the information source is dynamically adjusted, and the fusion accuracy is improved; the system adapts to various communication protocols, seamless interaction with different terminals is realized, and the service quality of low-altitude traffic service is remarkably improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of low-altitude traffic management, and in particular to a low-altitude traffic service information fusion and interaction system and method. BACKGROUND

[0002] With the rapid development of low-altitude economy, the number of low-altitude traffic participants such as unmanned aerial vehicles and light aircrafts has increased rapidly, and low-altitude traffic services are facing technical bottlenecks such as scattered multi-source information, uneven data quality, delayed service response, and diverse interaction terminals. The existing systems mostly process single type of information (for example, only unmanned aerial vehicle position), and the collected information has low credibility due to noise interference and cannot adapt to the contribution of different source data in different scenarios.

[0003] Therefore, how to improve the service quality of low-altitude traffic services has become a technical problem to be solved in the industry. SUMMARY

[0004] The present application provides a low-altitude traffic service information fusion and interaction system and method to solve the defects of low-altitude traffic services in the prior art, such as scattered multi-source information, uneven data quality, delayed service response, and diverse interaction terminals, and to improve the service quality of low-altitude traffic services.

[0005] The present application provides a low-altitude traffic service information fusion and interaction system, comprising a multi-source information acquisition module, a dynamic weight information fusion module, a traffic service information generation module, and a multi-terminal information interaction module. The multi-source information acquisition module is configured to acquire multi-dimensional data from different information sources; the multi-dimensional data comprises at least one of low-altitude traffic participant state data, meteorological environment data, airspace restriction data, and ground support data. The dynamic weight information fusion module is configured to calculate the dynamic weight of each information source based on the data credibility coefficient and the update frequency factor of each information source, and to perform weighted fusion on the multi-dimensional data based on the dynamic weight to generate low-altitude traffic comprehensive data. The traffic service information generation module is configured to match the low-altitude traffic comprehensive data with rules in a preset service rule library to generate traffic service data; the traffic service data comprises at least one of airspace passage recommendation data, flight path correction data, and meteorological warning data. The multi-terminal information interaction module is configured to transmit the traffic service data to different terminals by using communication protocols adapted to different terminals.

[0006] In some embodiments, the system further comprises a multi-modal information preprocessing module and an abnormality monitoring and emergency response module. The multi-modal information preprocessing module is configured to preprocess the multi-dimensional data, and the preprocessing includes at least one of noise filtering, format standardization, and time synchronization processing. The abnormality monitoring and emergency response module is configured to monitor a low-altitude traffic state in real time, and generate a determination result based on the low-altitude traffic state and a preset condition. If the determination result shows that there is an abnormality, an emergency instruction is generated and pushed to a related terminal.

[0007] In some embodiments, the dynamic weight information fusion module includes a weight calculation unit and a weighted fusion unit. The weight calculation unit is configured to determine a dynamic weight of each information source based on a data credibility coefficient and an update frequency factor of each information source. The weighted fusion unit is configured to fuse data of the same type from different information sources in the multi-dimensional data based on the dynamic weights in a weighted summation manner to generate low-altitude traffic comprehensive data.

[0008] In some embodiments, the traffic service information generation module includes a rule matching unit and a service information packaging unit. The rule matching unit is configured to store a preset service rule library, and trigger a matching rule based on the low-altitude traffic comprehensive data to generate traffic service data. The service information packaging unit is configured to package the traffic service data into a structured data packet. The structured data packet includes at least one of a service type field, a service content field, a validity time field, and a priority field.

[0009] In some embodiments, the multi-terminal information interaction module includes a terminal adaptation unit and a bidirectional communication unit. The terminal adaptation unit is configured to configure a corresponding communication protocol for different terminal types. The bidirectional communication unit is configured to push the packaged traffic service data to a target terminal based on the communication protocol, and receive an instruction fed back by the target terminal, and store the instruction fed back by the target terminal to a log library.

[0010] In some embodiments, the abnormality monitoring and emergency response module includes an abnormality determination unit and an emergency instruction generation unit. The abnormality determination unit is configured to set a preset condition for low-altitude traffic abnormality determination, monitor a low-altitude traffic state in real time, and generate a determination result based on the low-altitude traffic state and the preset condition. The emergency instruction generation unit is configured to determine an abnormality type based on the determination result when the determination result shows that there is an abnormality, call a corresponding disposal strategy from an emergency rule library based on the abnormality type, generate an emergency instruction, and push the emergency instruction to a related terminal.

[0011] The application provides a low-altitude traffic service information fusion and interaction method, comprising: acquiring multi-dimensional data from different information sources; the multi-dimensional data comprises at least one of low-altitude traffic participant state data, meteorological environment data, airspace restriction data and ground support data; calculating a dynamic weight of each information source based on a data credibility coefficient and an update frequency factor of each information source, and performing weighted fusion on the multi-dimensional data based on the dynamic weight to generate low-altitude traffic comprehensive data; matching the low-altitude traffic comprehensive data with rules in a preset service rule library to generate traffic service data; the traffic service data comprises at least one of airspace passing suggestion data, flight path correction data and meteorological warning data; transmitting the traffic service data to different terminals by adopting communication protocols suitable for different terminals.

[0012] The application provides an electronic device comprising a memory, a processor and a computer program stored on the memory and running on the processor, wherein the processor implements the low-altitude traffic service information fusion and interaction method when executing the computer program.

[0013] The application provides a non-transitory computer readable storage medium having a computer program stored thereon, wherein the computer program is executed by a processor to implement the low-altitude traffic service information fusion and interaction method.

[0014] The application provides a computer program product comprising a computer program, wherein the computer program is executed by a processor to implement the low-altitude traffic service information fusion and interaction method.

[0015] The low-altitude traffic service information fusion and interaction system and method provided by the application can avoid information fragmentation by integrating multi-dimensional information of low-altitude participants, meteorology, airspace and ground support; the dynamic weight algorithm based on credibility and update frequency can adjust the weight of information sources according to scenarios and improve fusion accuracy; personalized service information is generated based on a rule library to meet the service needs of different low-altitude traffic scenarios; and a plurality of communication protocols are adapted to realize seamless interaction with unmanned aerial vehicles, ground stations and air traffic control platforms, thereby significantly improving the service quality of low-altitude traffic services. BRIEF DESCRIPTION OF DRAWINGS

[0016] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate embodiments consistent with the application and, together with the description, serve to explain the principles of the application.

[0017] In order to make the technical solution of the present application or the prior art clearer, the drawings needed to be used in the embodiments or the prior art description will be briefly introduced below. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative effort on the basis of these drawings.

[0018] Figure 1 Figure 1 is a structural schematic diagram of a low-altitude traffic service information fusion and interaction system provided by the present application.

[0019] Figure 2 Figure 2 is another structural schematic diagram of a low-altitude traffic service information fusion and interaction system provided by the present application.

[0020] Figure 3 Figure 3 is a principle diagram of a multi-terminal information interaction module of a low-altitude traffic service information fusion and interaction system provided by the present application.

[0021] Figure 4 Figure 4 is a flow schematic diagram of a low-altitude traffic service information fusion and interaction method provided by the present application.

[0022] Figure 5 Figure 5 is a structural schematic diagram of an electronic device provided by the present application. DETAILED DESCRIPTION

[0023] In order to make the technical solution of the present application or the prior art clearer, the drawings needed to be used in the embodiments or the prior art description will be briefly introduced below. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative effort on the basis of these drawings.

[0024] It should be noted that the terms "first", "second", and the like in the present application are used to distinguish similar objects, and do not necessarily indicate a specific order or a chronological sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device that includes a series of steps or units or modules does not necessarily have to be limited to those steps or units or modules clearly listed, but can include other steps or units or modules that are not clearly listed or inherent to these processes, methods, products or devices.

[0025] Figure 1is one of structural schematic diagrams of the low-altitude traffic service information fusion and interaction system provided by the application, as shown in the figure, the system comprises a multi-source information acquisition module 110, a dynamic weight information fusion module 120, a traffic service information generation module 130 and a multi-terminal information interaction module 140. Figure 1

[0026] The multi-source information acquisition module 110 is used for acquiring multi-dimensional data from different information sources; the multi-dimensional data comprises at least one of low-altitude traffic participant state data, meteorological environment data, airspace restriction data and ground support data; The dynamic weight information fusion module 120 is used for calculating the dynamic weight of each information source based on the data credibility coefficient and the update frequency factor of each information source, and performing weighted fusion on the multi-dimensional data based on the dynamic weight to generate low-altitude traffic comprehensive data; The traffic service information generation module 130 is used for matching the low-altitude traffic comprehensive data with rules in a preset service rule library to generate traffic service data; the traffic service data comprises at least one of airspace passing suggestion data, flight path correction data and meteorological warning data; The multi-terminal information interaction module 140 is used for transmitting the traffic service data to different terminals by adopting communication protocols suitable for different terminals.

[0027] Specifically, the low-altitude traffic service information fusion and interaction system provided by the embodiments of the application is mainly used for fusing and interacting low-altitude traffic service information. The low-altitude traffic service information fusion and interaction system can run on a computer end. Each module in the low-altitude traffic service information fusion and interaction system can be a hardware device installed with a function-achieving hardware device or a software program achieving a corresponding function.

[0028] An information source refers to a physical or virtual entity capable of independently generating and outputting data related to low-altitude traffic operation to the system.

[0029] Data credibility refers to an index of the consistency between the data provided by a certain information source and the corresponding true value within a certain evaluation period. The value is quantified by statistical error rate, historical verification result or third-party authentication, and a high score represents low error and high reliability. In the embodiments of the application, the data credibility is determined by the historical data accuracy.

[0030] Update frequency refers to the effective number of times that a certain information source successfully sends data to the system within a fixed observation window. The higher the update frequency, the shorter the lag period of the source information, and the greater the opportunity for the system to obtain the latest effective data.

[0031] ​Existing low-altitude traffic service systems mostly process single type of information (such as only unmanned aerial vehicle position), cannot integrate multi-dimensional data such as weather, airspace restrictions, ground support, etc., the collected information has noise interference and format inconsistency problems, resulting in low information credibility, fixed weight is mostly used for information fusion, which cannot adapt to the dynamic value of data in different scenarios, and the interaction protocols of the system are not compatible with the unmanned aerial vehicle flight control, ground station, air traffic control platform and other terminals, and the disposal instructions cannot be quickly transmitted in emergency situations.

[0032] In the embodiment of the application, the low-altitude traffic service information fusion and interaction system comprises a multi-source information acquisition module, a dynamic weight information fusion module, a traffic service information generation module and a multi-terminal information interaction module.

[0033] The multi-source information acquisition module is used to acquire multi-dimensional data from different information sources; the multi-dimensional data comprises at least one of low-altitude traffic participant state data, meteorological environment data, airspace restriction data and ground support data.

[0034] In the embodiment of the application, the multi-source information acquisition module acquires low-altitude traffic participant state information, meteorological environment information, airspace restriction information and ground support information through different acquisition units, to realize real-time acquisition of multi-dimensional data. The multi-source information acquisition module comprises a low-altitude participant state acquisition unit, a meteorological information acquisition unit, an airspace restriction acquisition unit and a ground support acquisition unit.

[0035] The low-altitude participant state acquisition unit is used to connect the unmanned aerial vehicle flight control system through a wireless communication interface such as long range (LoRa), fourth generation (4G) / fifth generation (5G) mobile communication technology, to acquire low-altitude traffic participant state data, including real-time position data, flight speed data, remaining power data and flight attitude data of the unmanned aerial vehicle, etc.

[0036] The meteorological information acquisition unit is used to access the regional meteorological service platform through Ethernet, to acquire meteorological environment data, including wind speed, wind direction, visibility, precipitation probability data of the low-altitude region, etc.

[0037] The airspace restriction acquisition unit is used to connect the airspace management system of the air traffic control department through the application programming interface (API), to acquire airspace restriction data, including no-fly zone data, coordinate range data of the restricted flight area, restriction height and effective time data, etc.

[0038] The ground support acquisition unit is configured to connect the ground charging station and the take-off and landing point device through an Internet of Things (IoT) module, and acquire ground support data, including remaining parking spaces of the charging station and take-off and landing point occupation state data.

[0039] For example, when the multi-source information acquisition is started, each acquisition unit of the multi-source information acquisition module is started synchronously after the system is powered on and initialized. The low-altitude participant state acquisition unit acquires the position (World Geodetic System 1984 (WGS84) coordinates), flight speed and remaining power data of the target unmanned aerial vehicle once every 1 second through the LoRa module connected to the flight control of the unmanned aerial vehicle. The weather information acquisition unit acquires the wind speed, wind direction and visibility data of the low-altitude area once every 5 minutes through the Ethernet access regional weather platform. The airspace restriction acquisition unit updates the no-fly zone and restricted flight zone data once every 30 minutes through the API interface connected to the air traffic control system. The ground support acquisition unit acquires the remaining parking space data once every 10 minutes through the IoT module connected to the ground charging station. Each acquisition unit temporarily stores the acquired data in the local cache area.

[0040] The dynamic weight information fusion module is configured to calculate the dynamic weight of each information source based on the credibility coefficient and the update frequency factor of each information source, and to perform weighted fusion on the multi-dimensional data based on the dynamic weight to generate low-altitude traffic comprehensive data.

[0041] In the embodiment of the present application, the dynamic weight information fusion module calculates the dynamic weight of each information source based on the data credibility and the update frequency, generates unified low-altitude traffic comprehensive information through a weighted fusion algorithm, and ensures the accuracy and timeliness of the fusion result. The low-altitude traffic comprehensive data is a "single fact source" that describes the entire low-altitude environment after dynamic weight fusion processing, and is characterized by high precision, high timeliness and standardization.

[0042] The traffic service information generation module is configured to match the low-altitude traffic comprehensive data with the rules in the preset service rule library to generate traffic service data. The traffic service data includes at least one of airspace passage suggestion data, flight path correction data and weather warning data.

[0043] In the embodiment of the present application, the traffic service information generation module matches the preset service rule library according to the fused comprehensive information to generate targeted traffic service information of airspace passage suggestion, flight path correction and weather warning.

[0044] The preset service rule base is essentially an expert knowledge system, and a large number of 'trigger condition-action' logic rules are stored in advance, which are set by experienced air traffic control experts or according to industry operation standards, and can be dynamically updated according to requirements; the matching engine in the module will match the input low-altitude traffic comprehensive data stream with the 'trigger condition' part of each rule in the service rule base in real time and uninterruptedly, and once the trigger condition of one or several rules is met, the matching engine will immediately execute the 'action' part of the rule, that is, generate an action, so as to generate structured traffic service data.

[0045] The multi-terminal information interaction module is used for transmitting the traffic service data to different terminals by adopting a communication protocol adapted to different terminals.

[0046] In the embodiment of the application, the multi-terminal information interaction module transmits the service information to the terminals of the unmanned aerial vehicle flight control, the ground station and the air traffic control platform by adopting a communication protocol adapted to different terminals, and receives feedback instructions from the terminals.

[0047] The low-altitude traffic service information fusion and interaction system provided in the embodiment of the application avoids information fragmentation by integrating multi-dimensional information of low-altitude participants, weather, airspace and ground support; the dynamic weight algorithm based on credibility and update frequency can adjust the weight of information sources according to the scene and improve the fusion accuracy; personalized service information is generated based on the rule base to meet the service needs of different low-altitude traffic scenes; a plurality of communication protocols are adapted to realize seamless interaction with unmanned aerial vehicles, ground stations and air traffic control platforms, and the service quality of low-altitude traffic services is significantly improved.

[0048] In some embodiments, the system further comprises a multi-modal information preprocessing module and an abnormality monitoring and emergency response module; The multi-modal information preprocessing module is configured to preprocess the multi-dimensional data, and the preprocessing includes at least one of noise filtering, format standardization and time synchronization processing. The abnormality monitoring and emergency response module is configured to monitor a low-altitude traffic state in real time, and generate a determination result based on the low-altitude traffic state and a preset condition, and if the determination result shows that there is an abnormality, generate an emergency instruction and push the emergency instruction to a related terminal.

[0049] Specifically, Figure 2 is a structural schematic diagram of the low-altitude traffic service information fusion and interaction system provided by the application, as Figure 2 shown, the system further comprises a multi-modal information preprocessing module 150 and an abnormality monitoring and emergency response module 160.

[0050] The multi-modal information preprocessing module is configured to preprocess the multi-dimensional data, and the preprocessing includes at least one of noise filtering, format standardization and time synchronization processing. In the embodiment of the present application, the multi-modal information preprocessing module performs noise filtering, format standardization and time synchronization processing on the collected multi-source data, eliminates data redundancy and errors, and provides high-quality data for subsequent fusion.

[0051] The multi-modal information preprocessing module includes a data cleaning unit, a format standardization unit and a time synchronization unit.

[0052] The data cleaning unit is configured to filter random noise in the unmanned aerial vehicle position data using a Kalman filtering algorithm and eliminate abnormal values in the meteorological data that are outside a reasonable range.

[0053] The format standardization unit is configured to uniformly convert data from different sources into a custom low-altitude traffic data protocol format, in which the position data uses the WGS84 coordinate system, the time format uses the Coordinated Universal Time (UTC) timestamp, and the data field length and type are fixed.

[0054] The time synchronization unit is configured to add a uniform timestamp to the data packets of each collection unit based on a system local high-precision clock (such as a Global Positioning System (GPS) time clock), to ensure the time consistency of data from different information sources, and to ensure that the time synchronization error is ≤100 milliseconds.

[0055] For example, when the multi-modal information preprocessing module processes multi-dimensional data in the cache area, the data cleaning unit processes unmanned aerial vehicle position data using a Kalman filtering algorithm to filter random noise and eliminate invalid values in the meteorological data with wind speed > 30 m / s and visibility < 50 m. The format standardization unit converts the unmanned aerial vehicle position data into a "latitude, longitude, altitude" format (e.g., "30.123456, 120.456789, 100"), converts the timestamp into a UTC format (e.g., "2024-05-20T10:30:00Z"), and uniformly encapsulates all data into a JavaScript Object Notation (JSON) format. The time synchronization unit uses the system GPS time clock as a reference to add a uniform UTC timestamp to each standardized data packet, ensuring that the time difference between the unmanned aerial vehicle position data and the meteorological data is ≤100 milliseconds.

[0056] The anomaly monitoring and emergency response module is configured to monitor the low-altitude traffic state in real time, generate a determination result based on the low-altitude traffic state and a preset condition, and if the determination result shows that there is an anomaly, generate an emergency instruction and push it to a related terminal.

[0057] In this embodiment of the invention, the anomaly monitoring and emergency response module monitors abnormal low-altitude traffic conditions in real time, such as drone disconnection or airspace intrusion, triggers the emergency response mechanism, generates emergency response instructions, and pushes them to relevant terminals.

[0058] The low-altitude traffic service information fusion and interaction system provided in this embodiment of the invention eliminates data noise and format differences through cleaning, standardization, and synchronization by a preprocessing module, providing reliable input for fusion; it monitors abnormal states in real time and quickly generates disposal instructions through quantitative judgment formulas and emergency rule bases, thereby improving the safety and service quality of low-altitude traffic.

[0059] In some embodiments, the dynamic weight information fusion module includes a weight calculation unit and a weighted fusion unit; The weight calculation unit is used to determine the dynamic weight of each information source based on the data credibility coefficient and update frequency factor of each information source. The weighted fusion unit is used to fuse data of the same type from different information sources in the multi-dimensional data using a weighted summation method based on the dynamic weights to generate comprehensive low-altitude traffic data.

[0060] Specifically, in this embodiment of the invention, the dynamic weight information fusion module includes a weight calculation unit and a weighted fusion unit.

[0061] The weight calculation unit is used to calculate the dynamic weight of each information source based on the credibility coefficient and update frequency factor. The weight calculation formula is as follows: in, For the first The dynamic weight of each information source, with a value range of 0-1; For the first The credibility coefficient of an information source is determined by the accuracy of historical data, and its value ranges from 0 to 1. For example, drone flight control position data. =0.9, third-party meteorological data =0.7; For the first The update frequency factor of an information source is equal to the ratio of that source's update frequency to the system's maximum update frequency, and its value ranges from 0 to 1. For example, if the UAV's position update frequency is 1 Hz and the system's maximum update frequency is 5 Hz, then... =0.2; , Assign weighting coefficients, which are set according to the needs of the scenario. Such as airspace passage scenarios =0.6、 =0.4, emergency scenario =0.8, =0.2.

[0062] The weighted fusion unit is used for fusing multi-source data of the same type in multi-dimensional data, for example, unmanned aerial vehicle position data collected by different devices, in a weighted summation manner to generate low-altitude traffic comprehensive data, and the fusion result can be represented as: Wherein, is the original data of the i-th information source, is the number of information sources participating in fusion. For example, the dynamic weight information fusion module fuses the preprocessed data.

[0063] The weight calculation unit sets =0.6, =0.4 according to the current scene such as the urban low-altitude distribution scene, calculates the weight of each information source, the unmanned aerial vehicle flight control position data =0.9, =1, then =(0.6*0.9+0.4*1) / (0.6+0.4)=0.94; the third-party auxiliary positioning data =0.7, =1, then =0.6*0.7+0.4*1=0.82; the weighted fusion unit fuses the two kinds of position data, if the unmanned aerial vehicle flight control position is (30.1234, 120.4567, 100), and the third-party auxiliary positioning is (30.1235, 120.4568, 100), then the fused position =0.94*(30.1234, 120.4567, 100)+0.82*(30.1235, 120.4568, 100), and the calculation result is (30.123446, 120.456746, 100), and the fusion result is stored in the system core database.

[0064] The low-altitude traffic service information fusion and interaction system provided by the embodiment of the application determines the dynamic weight of each information source based on the data credibility coefficient and the update frequency factor of each information source, and fuses multi-dimensional data in a weighted manner to generate low-altitude traffic comprehensive data, discards the traditional static and solidified data processing mode, enables the system to intelligently and adaptively generate low-altitude traffic comprehensive data with high precision, high timeliness and high robustness, and thus provides a basis for constructing a truly safe, efficient and reliable low-altitude traffic service system.

[0065] In some embodiments, the traffic service information generation module comprises a rule matching unit and a service information packaging unit. The rule matching unit is configured to store a preset service rule library, and trigger a matching rule based on the low-altitude traffic comprehensive data, and generate traffic service data. The service information packaging unit is configured to package the traffic service data into a structured data packet, and the structured data packet comprises at least one of a service type field, a service content field, a validity time field and a priority field.

[0066] Specifically, in the embodiment of the application, the traffic service information generation module comprises a rule matching unit and a service information packaging unit.

[0067] The rule matching unit is configured to store a low-altitude traffic preset service rule library, and each rule in the rule library is composed of two parts: a trigger condition and a generation action. The trigger condition defines a series of logical judgments that need to be met, and the object of the judgment is each type of parameter in the input low-altitude traffic comprehensive data stream. The generation action defines the preliminary service information content that the system should generate when the trigger condition is met. The rule library contains but is not limited to preset rules such as "generate flight suspension suggestion when the weather wind speed is greater than 15 m / s", "generate return suggestion when the remaining power of the unmanned aerial vehicle is less than 20%", and "generate airspace warning 1 km before entering the no-fly zone", and the matching rule is triggered according to the fused comprehensive information.

[0068] The service information packaging unit is configured to package the service content generated by matching, such as "suggest returning at north latitude 30.123° and east longitude 120.456°", into a structured data packet, which contains a service type field, a service content field, a validity time field and a priority field. The priority field contains levels 1-5, and the emergency instruction has the highest priority level 5.

[0069] The service type field is used to explicitly identify the service type carried by the data packet, so as to facilitate the receiving end (such as the unmanned aerial vehicle flight control and the ground station software) to process it in categories, for example, "warning", "suggestion" and "instruction". The service content field carries the specific instructions or information content of the service, which is the core load of the data packet. The validity time field defines the timestamp (usually UTC time) at which the service instruction should start to be executed; this is crucial for operations that need to be accurately synchronized, such as path adjustment in multi-machine cooperative formation flight. The priority field defines the urgency of the service instruction, allowing the receiving end to make correct decisions when multiple instructions are received at the same time.

[0070] For example, when the traffic service information generation module generates service information based on fusion data, the rule matching unit reads the fusion data in the core database, and if the remaining power of the UAV = 18% (< 20% threshold) and the remaining parking space of the ground charging station = 2 (>= 1), the rule of “insufficient remaining power, and it is recommended to return to the nearest charging station” is matched. The service information packaging unit packages the service content into a structured data packet: service type = “recommendation”, service content = “UAV remaining power 18%, it is recommended to return to the ground charging station at north latitude 30.1200°, east longitude 120.4500°”, effective time = “2024-05-20T10:31:00Z”, priority = level 3, and the data packet is temporarily stored in the interaction buffer.

[0071] The low-altitude traffic service information fusion and interaction system provided by the embodiments of the present application triggers matching rules based on low-altitude traffic comprehensive data, generates traffic service data, meets the service needs of different low-altitude traffic scenes, greatly improves the automation level and response efficiency of traffic management, and ensures the consistency and reliability of the transmission and execution of service instructions between heterogeneous terminals through the output of standardized structured data packets.

[0072] In some embodiments, the multi-terminal information interaction module includes a terminal adaptation unit and a bidirectional communication unit. The terminal adaptation unit is configured to configure corresponding communication protocols for different terminal types. The bidirectional communication unit is configured to push the packaged traffic service data to a target terminal based on the communication protocol, and receive instructions fed back by the target terminal and store the instructions fed back by the target terminal in a log library.

[0073] Specifically, Figure 3 FIG. 1 is a schematic diagram of a multi-terminal information interaction module of a low-altitude traffic service information fusion and interaction system provided by the present application, as shown in the figure, Figure 3 In the embodiments of the present application, the multi-terminal information interaction module includes a terminal adaptation unit and a bidirectional communication unit.

[0074] The terminal adaptation unit is configured to configure corresponding communication protocols for different terminal types; for example, the message queue telemetry transmission (MQTT) protocol (lightweight, suitable for low-bandwidth scenarios) is used for unmanned aerial vehicles, the WebSocket protocol is used for ground stations, and the All Purpose Structured Eurocontrol Radar Information Exchange (Asterix) protocol is used for air traffic control platforms.

[0075] When the bidirectional communication unit needs to send data, the terminal adaptation unit of the present terminal is queried first, and the present unit determines the communication protocol to be used according to the type of the target terminal, and returns the protocol configuration information such as the protocol name, server address, port, etc. to the bidirectional communication unit.

[0076] The bidirectional communication unit is used to push the encapsulated traffic service data, i.e. service information, to the target terminal through a communication module such as 4G / 5G or satellite communication, and receive the instructions fed back by the terminal, and store the instructions fed back by the target terminal to a system log library, for example, the "received homeward journey suggestion" returned by the unmanned aerial vehicle flight control, the communication delay is less than or equal to 500 ms, and the data transmission success rate is greater than or equal to 99%.

[0077] For example, when the multi-terminal information interaction module completes the transmission and feedback reception of the service information, the terminal adaptation unit identifies that the target terminal is the unmanned aerial vehicle flight control and the ground station, encapsulates the data packet using the MQTT protocol for the unmanned aerial vehicle flight control, and encapsulates the data packet using the WebSocket protocol for the ground station; the bidirectional communication unit pushes the MQTT data packet to the unmanned aerial vehicle flight control through the 4G module, and pushes the WebSocket data packet to the ground station through Ethernet; after 1 second, the "received homeward journey suggestion, will perform route correction" instruction fed back by the unmanned aerial vehicle flight control is received, and after 2 seconds, the "confirm homeward journey instruction, has notified the charging station to reserve a parking space" instruction fed back by the ground station is received, and the feedback instructions are stored to the system log library.

[0078] The low-altitude traffic service information fusion and interaction system provided by the embodiment of the present application breaks the communication barriers between heterogeneous terminals by configuring corresponding communication protocols for different terminal types and storing the instructions fed back by the terminal to the log library, realizes seamless interaction with the unmanned aerial vehicle, the ground station and the air traffic control platform, and significantly improves the safety and reliability of the system.

[0079] In some embodiments, the abnormality monitoring and emergency response module includes an abnormality determination unit and an emergency instruction generation unit. The abnormality determination unit is configured to set preset conditions for low-altitude traffic abnormality determination, monitor the low-altitude traffic state in real time, and generate a determination result based on the low-altitude traffic state and the preset conditions. The emergency instruction generation unit is configured to, when the determination result shows that there is an abnormality, determine an abnormality type based on the determination result, call a corresponding disposal strategy from an emergency rule library based on the abnormality type, generate an emergency instruction, and push the emergency instruction to a related terminal.

[0080] Specifically, in the embodiment of the present application, the abnormality monitoring and emergency response module includes an abnormality determination unit and an emergency instruction generation unit.

[0081] Anomaly determination unit for setting the preset condition of low-altitude traffic anomaly determination, including low-altitude traffic anomaly determination threshold, generating determination result by comparing the integrated information after fusion with the threshold, determining whether there is an anomaly, and the anomaly determination formula is: When > and the continuous times of monitoring meet the condition, it is determined that the position of the unmanned aerial vehicle is abnormal, such as deviating from the preset route; wherein, is the spatial distance between the actual position of the unmanned aerial vehicle and the expected position; is the actual position coordinate of the unmanned aerial vehicle, which is the position coordinate in the WGS84 coordinate system; is the expected position coordinate of the unmanned aerial vehicle, which is generated from the preset route; is the position deviation threshold, which is set according to the flight scene, for example, the city low-altitude scene = 50m, the indoor scene = 5m; is the number of continuous monitoring, which is set to 3-5 times to avoid misjudgment.

[0082] Emergency command generation unit for generating emergency command according to the type of anomaly such as position anomaly, disconnection, airspace intrusion when determining anomaly, calling corresponding disposal strategy from emergency rule base, generating emergency command such as "correcting route to expected coordinate" instruction when position anomaly, generating "triggering unmanned aerial vehicle autonomous return" instruction when disconnection, and pushing to related terminal through high priority communication channel.

[0083] Wherein, the emergency rule base stores standardized disposal strategies for different anomaly types; after determining the anomaly type, the corresponding disposal strategy is called from the emergency rule base.

[0084] For example, the anomaly monitoring and emergency response module continuously monitors the system state, the anomaly determination unit reads the integrated position of the unmanned aerial vehicle and the expected position of the preset route every 1 second, if the actual position is (30.1250, 120.4600, 100) and the expected position is (30.1234, 120.4567, 100) at a certain moment, ≈ 4.1m (m), if = 5m (city low-altitude scene), it is determined to be normal; if the continuous 3 times = 6.2m > 5m, it is determined that the position is abnormal. The emergency command generation unit calls "position anomaly disposal strategy" to generate "immediately correct the route to the expected coordinate (30.1234, 120.4567, 100), the correction time limit is 30 seconds" emergency command, the priority is set to level 5, and it is pushed to the unmanned aerial vehicle flight control and ground station through the high priority 4G channel, and the emergency response log is recorded at the same time.

[0085] It should be noted that when the unmanned aerial vehicle executes the homeward suggestion and successfully lands on the ground charging station, the ground station feeds back the "service completion" instruction, the system archives the collection data, fusion result, service information, interaction feedback and log data of this service to the historical database, the archiving data retention time is greater than or equal to 1 year, and the system resets to the standby state, waiting for the next service request.

[0086] The low-altitude traffic service information fusion and interaction system provided by the embodiment of the application greatly improves the safety and reliability of the entire low-altitude traffic service system by monitoring abnormal states in real time, quickly generating disposal instructions through a quantitative determination formula and an emergency rule base.

[0087] The unmanned aerial vehicle countermeasure strategy intelligent formulation method provided by the application will be described below, and the unmanned aerial vehicle countermeasure strategy intelligent formulation method described below can be correspondingly referred to the unmanned aerial vehicle countermeasure strategy intelligent formulation system described above.

[0088] Figure 4 The flowchart of the low-altitude traffic service information fusion and interaction method provided by the application is shown in FIG. 4, which includes steps 410, 420, 430 and 440. Figure 4

[0089] Step 410, acquiring multi-dimensional data from different information sources; the multi-dimensional data includes at least one of low-altitude traffic participant state data, meteorological environment data, airspace restriction data and ground support data; Step 420, calculating the dynamic weight of each information source based on the credibility coefficient and the update frequency factor of each information source, and performing weighted fusion on the multi-dimensional data based on the dynamic weight to generate low-altitude traffic comprehensive data; Step 430, matching the low-altitude traffic comprehensive data with the rules in the preset service rule base to generate traffic service data; the traffic service data includes at least one of airspace passing suggestion data, flight path correction data and meteorological warning data; Step 440, transmitting the traffic service data to different terminals by using communication protocols adapted to different terminals.

[0090] The low-altitude traffic service information fusion and interaction method provided by the embodiment of the application integrates multi-dimensional information of low-altitude participants, meteorology, airspace and ground support to avoid information fragmentation; based on the dynamic weight algorithm of credibility and update frequency, the information source weight can be adjusted according to the scene to improve the fusion accuracy; personalized service information is generated based on the rule base to meet the service needs of different low-altitude traffic scenes; a variety of communication protocols are adapted to realize seamless interaction with unmanned aerial vehicles, ground stations and air traffic control platforms, and the service quality of low-altitude traffic service is significantly improved. ​

[0091] Figure 5 This is a schematic diagram of the structure of the electronic device provided by the present invention, such as... Figure 5 As shown, the electronic device may include: a processor 510, a communications interface 520, a memory 530, and a communications bus 540, wherein the processor 510, the communications interface 520, and the memory 530 communicate with each other via the communications bus 540. The processor 510 can call logical commands stored in the memory 530 to execute the methods described in the above embodiments, for example: The system acquires multi-dimensional data from different information sources, including at least one of low-altitude traffic participant status data, meteorological environment data, airspace restriction data, and ground support data. Based on the credibility coefficient and update frequency factor of each information source, the system calculates the dynamic weight of each source and performs weighted fusion of the multi-dimensional data based on the dynamic weight to generate comprehensive low-altitude traffic data. The system matches the comprehensive low-altitude traffic data with rules in a preset service rule base to generate traffic service data, including at least one of airspace passage suggestion data, flight path correction data, and meteorological warning data. The system uses communication protocols adapted to different terminals to transmit the traffic service data to different terminals.

[0092] Furthermore, when the logical commands in the aforementioned memory can be implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several commands to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0093] The processor in the electronic device provided in this embodiment of the invention can call logical instructions in the memory to implement the above method. Its specific implementation method is the same as the aforementioned method implementation method and can achieve the same beneficial effects, which will not be repeated here.

[0094] The embodiment of the present application further provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the method provided by the above embodiment.

[0095] The specific implementation and the foregoing method embodiment are consistent, and the same beneficial effects can be achieved, and thus are not described herein.

[0096] The embodiment of the present application provides a computer program product, which comprises a computer program, and the computer program is executed by a processor to implement the method.

[0097] The system embodiments described above are only schematic, wherein the units described as separated components can or can not be physically separated, and the components displayed as units can or can not be physical units, i.e., can be located in one place or distributed on a plurality of network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the embodiment. Those skilled in the art can understand and implement without creative labor.

[0098] Through the description of the foregoing embodiments, those skilled in the art can clearly understand that the embodiments can be realized by means of software and necessary universal hardware platforms, and of course can also be realized by hardware. Based on such understanding, the above technical solutions can be embodied in the form of software products, and the computer software products can be stored in a computer readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and include a plurality of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute the methods described in each embodiment or some parts of the embodiments.

[0099] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement to some technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A low-altitude transportation service information fusion and interaction system, characterized in that, It includes a multi-source information acquisition module, a dynamic weighted information fusion module, a traffic service information generation module, and a multi-terminal information interaction module; The multi-source information acquisition module is used to acquire multi-dimensional data from different information sources; The multi-dimensional data includes at least one of the following: low-altitude traffic participant status data, meteorological environment data, airspace restriction data, and ground support data; The dynamic weight information fusion module is used to calculate the dynamic weight of each information source based on the data credibility coefficient and update frequency factor of each information source, and to perform weighted fusion of the multi-dimensional data based on the dynamic weight to generate comprehensive low-altitude traffic data. The traffic service information generation module is used to match the low-altitude traffic comprehensive data with the rules in the preset service rule base to generate traffic service data; the traffic service data includes at least one of airspace passage suggestion data, flight path correction data, and weather warning data; The multi-terminal information interaction module is used to transmit the traffic service data to different terminals using communication protocols adapted to different terminals.

2. The low-altitude traffic service information fusion and interaction system according to claim 1, characterized in that, The system also includes a multimodal information preprocessing module and an anomaly monitoring and emergency response module; The multimodal information preprocessing module is used to preprocess the multidimensional data; the preprocessing includes at least one of noise filtering, format normalization, and time synchronization processing; The anomaly monitoring and emergency response module is used to monitor the low-altitude traffic status in real time, and generate a judgment result based on the low-altitude traffic status and preset conditions. If the judgment result shows that there is an anomaly, an emergency command is generated and pushed to the relevant terminal.

3. The low-altitude traffic service information fusion and interaction system according to claim 1, characterized in that, The dynamic weight information fusion module includes a weight calculation unit and a weighted fusion unit; The weight calculation unit is used to determine the dynamic weight of each information source based on the data credibility coefficient and update frequency factor of each information source. The weighted fusion unit is used to fuse data of the same type from different information sources in the multi-dimensional data using a weighted summation method based on the dynamic weights to generate comprehensive low-altitude traffic data.

4. The low-altitude traffic service information fusion and interaction system according to claim 1, characterized in that, The traffic service information generation module includes a rule matching unit and a service information encapsulation unit. The rule matching unit is used to store a preset service rule library and trigger matching rules based on the low-altitude traffic integrated data to generate traffic service data; The service information encapsulation unit is used to encapsulate the traffic service data into a structured data packet; The structured data packet includes at least one of the following: service type field, service content field, effective time field, and priority field.

5. The low-altitude traffic service information fusion and interaction system according to claim 1, characterized in that, The multi-terminal information interaction module includes a terminal adaptation unit and a two-way communication unit; The terminal adaptation unit is used to configure corresponding communication protocols for different terminal types. The bidirectional communication unit is used to push the encapsulated traffic service data to the target terminal based on the communication protocol, receive instructions from the target terminal, and store the instructions from the target terminal in the log database.

6. The low-altitude traffic service information fusion and interaction system according to claim 2, characterized in that, The anomaly monitoring and emergency response module includes an anomaly determination unit and an emergency command generation unit; The anomaly determination unit is used to set preset conditions for low-altitude traffic anomaly determination, monitor the low-altitude traffic status in real time, and generate a determination result based on the low-altitude traffic status and the preset conditions. The emergency instruction generation unit is used to determine the type of abnormality based on the judgment result when the judgment result shows that there is an abnormality, and to call the corresponding handling strategy from the emergency rule base based on the type of abnormality to generate an emergency instruction and push it to the relevant terminal.

7. A method for low-altitude traffic service information fusion and interaction, applied to the low-altitude traffic service information fusion and interaction system as described in any one of claims 1 to 6, characterized in that, The method includes: Acquire multi-dimensional data from different information sources; the multi-dimensional data includes at least one of low-altitude traffic participant status data, meteorological environment data, airspace restriction data, and ground support data; Based on the data credibility coefficient and update frequency factor of each information source, the dynamic weight of each information source is calculated, and the multi-dimensional data is weighted and fused based on the dynamic weight to generate comprehensive low-altitude traffic data. The low-altitude traffic integrated data is matched with rules in a preset service rule base to generate traffic service data; the traffic service data includes at least one of airspace passage suggestion data, flight path correction data, and weather warning data. The traffic service data is transmitted to different terminals using a communication protocol adapted to different terminals.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes the computer program, it implements the low-altitude traffic service information fusion and interaction method as described in claim 7.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the low-altitude traffic service information fusion and interaction method as described in claim 7.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the low-altitude traffic service information fusion and interaction method as described in claim 7.

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