A cellular network-based unmanned aerial vehicle status reporting system

Abstract

This invention discloses a drone status broadcasting system based on a cellular network, relating to the field of drone monitoring technology. The system includes: a data acquisition module for real-time acquisition of drone pose status data; a time-series storage module for storing pose status data in a time sequence and retrieving a set of pose status data as unique monitoring data according to a preset data filtering logic; a network transmission verification module for transmitting the unique monitoring data to a monitoring terminal via the cellular network and determining whether the unique monitoring data was successfully transmitted; and an anomaly marking module for marking the unique monitoring data as an anomaly when transmission fails. This invention transmits drone pose status data to the monitoring terminal via a cellular network, thus achieving long-distance broadcasting and providing reliable data support for effective drone monitoring by relying on cellular network communication base stations.

Description

Technical Field

[0001] This invention relates to the field of drone monitoring technology, specifically a drone status broadcasting system based on cellular networks. Background Technology

[0002] For ease of monitoring, drones need to be equipped with broadcasting devices to broadcast their pose and status data in real time. Existing drone broadcasting devices typically use RID (Remote Identification) broadcasting. This method has the following drawbacks in practical applications:

[0003] RID broadcast range is limited, and the effective communication distance is usually less than 500m. If the distance between the monitoring device and the drone is greater than this effective communication distance, it is impossible to effectively acquire the drone's pose and status data, which is not conducive to the real-time and effective supervision of the drone. Summary of the Invention

[0004] In view of the deficiencies in the existing technology, the technical problem to be solved by this application is: how to achieve real-time and effective supervision of drones.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a cellular network-based unmanned aerial vehicle (UAV) status broadcasting system, comprising:

[0006] The data acquisition module is used to: acquire the pose and state data of the UAV in real time;

[0007] The time-series storage module is used to: store pose state data in a time sequence, and retrieve a set of pose state data according to a preset data filtering logic as the unique monitoring data;

[0008] The network transmission verification module is used to: send unique monitoring data to the monitoring terminal via the cellular network and determine whether the unique monitoring data has been successfully sent;

[0009] The anomaly marking module is used to mark the unique monitoring data as an anomaly when the unique monitoring data transmission fails.

[0010] The present invention is further configured such that: the time-series storage module includes a data storage unit and a data temporary storage unit, and the data storage unit is connected to the data temporary storage unit.

[0011] The present invention is further configured such that: the data storage unit is used to store pose state data in a time series, and adds a unique marker to the pose state data to generate data to be sent;

[0012] The data temporary storage unit is used to temporarily store the data to be sent.

[0013] The present invention is further configured such that: the network transmission verification module includes a cellular transmission unit and a transmission result identification unit, and the cellular transmission unit is connected to the transmission result identification unit.

[0014] The present invention is further configured such that: the cellular transmission unit is used to send unique monitoring data to the monitoring terminal via a cellular network;

[0015] The transmission result identification unit is used to determine whether feedback data is received from the monitoring end within a set time period. If so, it is determined that the unique monitoring data was successfully sent; otherwise, it is determined that the unique monitoring data was sent unsuccessfully.

[0016] The present invention is further configured such that: the anomaly marking module includes a data deletion unit, a marking analysis unit, and a data marking unit, wherein the marking analysis unit is connected to the data marking unit.

[0017] The present invention is further configured such that: the data deletion unit is used to delete the data to be sent corresponding to the unique monitoring data from the data temporary storage unit when the unique monitoring data is successfully sent;

[0018] The tag analysis unit is used to determine whether there is an abnormal tag in the data to be sent corresponding to the unique monitoring data when the transmission fails. If so, it issues a tag count increase instruction; otherwise, it issues an abnormal tag add instruction.

[0019] The data marking unit is used to receive a mark increase instruction and increment the number of abnormal marks for the data to be sent corresponding to the unique monitoring data according to the mark increase instruction; it is also used to receive an abnormal mark add instruction and mark the number of abnormal marks for the data to be sent corresponding to the unique monitoring data as one according to the abnormal mark add instruction.

[0020] The present invention is further configured such that: the data storage unit further includes a data filtering module, and the data temporary storage unit is connected to the data filtering module;

[0021] The data filtering module is used to filter the data to be sent stored in the data temporary storage unit according to a preset data filtering logic, and to determine the unique monitoring data; wherein the preset data filtering logic includes:

[0022] Iterate through the data temporary storage units and determine whether there are any exception markers;

[0023] If so, filter the data to be sent with the largest number of anomaly markers. If the data to be sent with the largest number of anomaly markers is unique, then use it as the unique monitoring data. If the data to be sent with the largest number of anomaly markers is not unique, filter the data to be sent with the largest number of anomaly markers at the beginning of the time series and use it as the unique monitoring data.

[0024] Otherwise, select the first data point in the time series to be sent as the sole monitoring data.

[0025] This invention provides a cellular network-based drone status reporting system. It offers the following advantages:

[0026] (1) Transmit the UAV pose status data to the monitoring end through the cellular network. In this way, relying on the communication base station of the cellular network, the long-distance broadcast can be realized, eliminating the blind spots of supervision in long-distance flight and complex airspace, so that the monitoring end can understand the UAV pose status in real time and provide reliable data support for the effective supervision of UAV.

[0027] (2) By judging the result of sending the unique monitoring data, it is ensured that the unique monitoring data can be effectively sent to the monitoring end. Furthermore, by adding an anomaly mark to the unique monitoring data that failed to be sent, the location of the failed data can be effectively determined. By combining the number of anomaly marks and the sorting method of the time series, the orderly transmission of the pose status data is ensured, providing further assurance for the monitoring end to fully understand the pose status data of the UAV. Attached Figure Description

[0028] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0029] Figure 1 This is a system architecture block diagram of the present invention;

[0030] Figure 2 This is a system architecture block diagram of the timing storage module, network transmission verification module, and anomaly marking module of the present invention. Detailed Implementation

[0031] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0032] The flowchart shown in the attached diagram is for illustrative purposes only and does not necessarily include all content and operations / steps, nor does it necessarily have to be performed in the order described. For example, some operations / steps can be broken down, combined, or partially merged, so the actual execution order may change depending on the actual situation.

[0033] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.

[0034] Please see Figure 1-2 The present invention provides the following technical solutions:

[0035] Example 1

[0036] A cellular network-based drone status broadcasting system, referring to Figure 1 The system includes a data acquisition module, a time-series storage module, and a network transmission verification module. The data acquisition module and the time-series storage module are connected, and the time-series storage module is connected to the network transmission verification module.

[0037] Based on this, the usage scheme of the system includes:

[0038] The data acquisition module collects the UAV's pose status data in real time (UAV global latitude and longitude, flight altitude, three-axis attitude angles, three-axis flight speed, number of positioning satellites, and real-time flight status) and sends it to the time-series storage module.

[0039] The time-series storage module stores pose state data according to the time sequence and retrieves a set of pose state data according to the preset data filtering logic as the unique monitoring data; at this time, the preset data filtering logic is to filter the first set of pose state data (i.e. the earliest in time) according to the time sequence.

[0040] The network transmission verification module sends unique monitoring data to the monitoring terminal via the cellular network.

[0041] This allows for the transmission of UAV pose data to the monitoring terminal via cellular networks. By relying on cellular network communication base stations, long-distance broadcasting can be achieved, eliminating blind spots in the supervision of long-distance flights and complex airspace. This enables the monitoring terminal to understand the UAV's pose status in real time and effectively, providing reliable data support for the effective supervision of UAVs.

[0042] Example 2

[0043] Based on Embodiment 1, in this embodiment, the network transmission verification module is further used to determine whether the unique monitoring data has been successfully transmitted after it has been transmitted to the monitoring terminal via the cellular network. Specifically, the network transmission verification module includes a cellular transmission unit and a transmission result identification unit, with the cellular transmission unit interfaced with the transmission result identification unit; wherein the cellular transmission unit is used to transmit the unique monitoring data to the monitoring terminal via the cellular network;

[0044] The transmission result identification unit is used to determine whether feedback data has been received from the monitoring end within a set time period. If so, it is determined that the unique monitoring data was successfully sent; otherwise, it is determined that the unique monitoring data was sent unsuccessfully.

[0045] In one embodiment, the time-series storage module includes a data storage unit, a data temporary storage unit, and a data filtering module. The data storage unit is connected to the data temporary storage unit, and the data temporary storage unit is connected to the data filtering module. The data storage unit is used to store pose state data in a time sequence and add a unique tag to the pose state data to generate data to be sent.

[0046] The data temporary storage unit is used to temporarily store the data to be sent.

[0047] The data filtering module is used to filter the data to be sent stored in the data temporary storage unit according to the preset data filtering logic and determine the unique monitoring data; the preset data filtering logic is to select the data to be sent at the beginning of the time series as the unique monitoring data.

[0048] In one embodiment, reference is made to Figure 1 The system also includes an anomaly marking module, which interfaces with the time-series storage module, and a network transmission verification module, which interfaces with the anomaly marking module.

[0049] The anomaly marking module is used to mark unique monitoring data as anomaly when transmission fails. Specifically, the anomaly marking module includes a data deletion unit, a marking analysis unit, and a data marking unit, with the marking analysis unit interfacing with the data marking unit; the data deletion unit is used to delete the corresponding pending data from the data temporary storage unit when the unique monitoring data is successfully transmitted.

[0050] This allows for lightweight data storage using the data temporary storage unit, eliminating the need for frequent searches of pose state data from the data storage unit and effectively ensuring data response efficiency.

[0051] Furthermore, the tag analysis unit is used to determine whether there is an abnormal tag in the data to be sent corresponding to the unique monitoring data when the transmission fails. If so, it issues a tag count increase instruction; otherwise, it issues an abnormal tag add instruction.

[0052] The data marking unit is used to receive a mark increase instruction and increment the number of abnormal marks for the data to be sent corresponding to the unique monitoring data according to the mark increase instruction; it is also used to receive an abnormal mark add instruction and mark the number of abnormal marks for the data to be sent corresponding to the unique monitoring data as one according to the abnormal mark add instruction.

[0053] Based on this, before selecting the earliest data to be sent in the time series as the sole monitoring data, the preset data filtering logic also includes:

[0054] Iterate through the data temporary storage units and determine whether there are any exception markers;

[0055] If so, filter the data to be sent with the largest number of anomaly markers. If the data to be sent with the largest number of anomaly markers is unique, then use it as the unique monitoring data. If the data to be sent with the largest number of anomaly markers is not unique, filter the data to be sent with the largest number of anomaly markers at the beginning of the time series and use it as the unique monitoring data.

[0056] Otherwise, select the first data point in the time series to be sent as the sole monitoring data.

[0057] By judging the transmission results of the unique monitoring data, it is ensured that the unique monitoring data can be effectively sent to the monitoring end. Furthermore, by adding an anomaly marker to the unique monitoring data that failed to be transmitted, the location of the failed data can be effectively identified. Combining the number of anomaly markers and the sorting method of the time series, the orderly transmission of pose status data is ensured, providing further assurance for the monitoring end to fully understand the pose status data of the UAV.

[0058] It should be noted that the sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0059] The terms "comprising" and "having," and any variations thereof, in the specification, claims, and accompanying drawings of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to such process, method, product, or apparatus. The terms "first," "second," and "third," etc., are used to distinguish different objects, etc., and do not indicate a sequence, nor do they limit "first," "second," and "third" to different types.

[0060] In the description of the embodiments of this application, terms such as "exemplary," "for example," or "for instance" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as "exemplary," "for example," or "for instance" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of terms such as "exemplary," "for example," or "for instance" is intended to present the relevant concepts in a concrete manner.

[0061] In the description of the embodiments of this application, unless otherwise stated, " / " means "or". For example, A / B can mean A or B. The "and / or" in the text is merely a description of the relationship between related objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist simultaneously, and B exists alone. In addition, in the description of the embodiments of this application, "multiple" means two or more.

[0062] In some processes described in the embodiments of this application, multiple operations or steps are included in a specific order. However, it should be understood that these operations or steps may not be executed in the order they appear in the embodiments of this application, or they may be executed in parallel. The sequence number of the operation is only used to distinguish different operations, and the sequence number itself does not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed sequentially or in parallel, and these operations or steps may be combined.

[0063] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes several instructions to cause a terminal device to execute the methods described in the various embodiments of this application.

[0064] The above are merely specific embodiments of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in this application, and these modifications or substitutions should all be covered within the protection scope of this application. Therefore, the protection scope of this application should be determined by the scope of the claims.

Claims

1. A cellular network-based unmanned aerial vehicle (UAV) status broadcasting system, characterized in that, The system includes: The data acquisition module is used to: acquire the pose and state data of the UAV in real time; The time-series storage module is used to: store pose state data in a time sequence, and retrieve a set of pose state data according to a preset data filtering logic as the unique monitoring data; The network transmission verification module is used to: send unique monitoring data to the monitoring terminal via the cellular network and determine whether the unique monitoring data has been successfully sent; The anomaly marking module is used to mark the unique monitoring data as an anomaly when the unique monitoring data transmission fails.

2. The UAV status broadcasting system based on a cellular network according to claim 1, characterized in that, The time-series storage module includes a data storage unit and a data temporary storage unit, and the data storage unit is connected to the data temporary storage unit.

3. The UAV status broadcasting system based on a cellular network according to claim 2, characterized in that, The data storage unit is used to store pose state data in a time series and add a unique tag to the pose state data to generate data to be sent. The data temporary storage unit is used to temporarily store the data to be sent.

4. The UAV status broadcasting system based on a cellular network according to claim 3, characterized in that, The network transmission verification module includes a cellular transmission unit and a transmission result identification unit, and the cellular transmission unit is connected to the transmission result identification unit.

5. The UAV status broadcasting system based on a cellular network according to claim 4, characterized in that, The cellular transmission unit is used to send unique monitoring data to the monitoring terminal via the cellular network; The transmission result identification unit is used to determine whether feedback data is received from the monitoring end within a set time period. If so, it is determined that the unique monitoring data was successfully sent. Otherwise, the unique monitoring data transmission is deemed to have failed.

6. The UAV status broadcasting system based on a cellular network according to claim 5, characterized in that, The anomaly marking module includes a data deletion unit, a marking analysis unit, and a data marking unit, with the marking analysis unit interfaced with the data marking unit.

7. A cellular network-based drone status broadcasting system according to claim 6, characterized in that, The data deletion unit is used to delete the data to be sent corresponding to the unique monitoring data from the data temporary storage unit when the unique monitoring data is successfully sent. The tag analysis unit is used to determine whether there is an abnormal tag in the data to be sent corresponding to the unique monitoring data when the transmission fails. If so, it issues a tag count increase instruction; otherwise, it issues an abnormal tag add instruction. The data marking unit is used to receive a mark increase instruction and increment the number of abnormal marks for the data to be sent corresponding to the unique monitoring data according to the mark increase instruction; it is also used to receive an abnormal mark add instruction and mark the number of abnormal marks for the data to be sent corresponding to the unique monitoring data as one according to the abnormal mark add instruction.

8. A cellular network-based drone status broadcasting system according to claim 7, characterized in that, The data storage unit further includes a data filtering module, and the data temporary storage unit is connected to the data filtering module. The data filtering module is used to filter the data to be sent stored in the data temporary storage unit according to a preset data filtering logic and determine the unique monitoring data. The preset data filtering logic includes: Iterate through the data temporary storage units and determine whether there are any exception markers; If so, filter the data to be sent with the largest number of anomaly markers. If the data to be sent with the largest number of anomaly markers is unique, then use it as the unique monitoring data. If the data to be sent with the largest number of anomaly markers is not unique, filter the data to be sent with the largest number of anomaly markers at the beginning of the time series and use it as the unique monitoring data. Otherwise, select the first data point in the time series to be sent as the sole monitoring data.

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