CN110968941A - Unmanned aerial vehicle control platform and control method based on airspace safety assessment - Google Patents
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Abstract
An unmanned aerial vehicle management and control platform and a management and control method based on airspace safety assessment are disclosed, wherein the management and control platform comprises: the unmanned aerial vehicle monitoring system comprises an airspace modeling and evaluating module, a data acquisition module, a target identification module and an early warning processing module, wherein an airspace model is built in advance for an airspace of a region, airspace safety data of the region are set, and a safety evaluation model of the airspace model is built, so that the flight behavior of the unmanned aerial vehicle in the region has uniform criteria and scientific safety evaluation modes, and different processing modes are adopted for the unmanned aerial vehicle of a cooperative target and the unmanned aerial vehicle of a non-cooperative target or under the condition that the unmanned aerial vehicle has abnormal invasion for the cooperative target, so that uniform supervision of all the unmanned aerial vehicles is realized.
Description
Technical Field
The disclosure belongs to the technical field of unmanned aerial vehicles, and relates to an unmanned aerial vehicle control platform and a control method based on airspace safety assessment.
Background
With the rapid development of the unmanned aerial vehicle industry, the unmanned aerial vehicle is continuously broken through in industries such as military use, emergency rescue, police security, energy power, agriculture and forestry plant protection, express logistics and the like, and the unmanned aerial vehicle industry becomes a hot spot of current artificial intelligence and internet of things and becomes a new bright spot of economic development. But the use shortcoming of unmanned aerial vehicle has also been highlighted in recent years, including: the disordered flight and the illegal use cause damage to people, interference to flight, survey and drawing information disclosure, candid behavior, utilization by lawless persons or terrorists and the like, and how to strengthen the safety supervision and reasonable use of the unmanned aerial vehicle is urgent.
Unmanned aerial vehicle management and control mainly divides two aspects: firstly, real-time monitoring and management of a cooperative target. At present, low-altitude unmanned machines mainly realize supervision through 'cloud' systems such as telecommunication communication networks, wifi and the like. The main problems of this kind of regulation are lack of national regulation and standard mandatory requirements, and weak binding force. Meanwhile, the modification cost of additionally installing a chip, a positioning module and the like is higher, the technical means and the path are not unified, and the unified supervision at the national level is difficult to realize.
And secondly, detection, identification, positioning, early warning, countermeasures and the like of non-cooperative targets. At present, the unmanned aerial vehicle is mainly detected, positioned and identified internationally through multiple monitoring means such as low-altitude monitoring radar detection, radio frequency spectrum monitoring and acousto-optic monitoring, and then the unmanned aerial vehicle is suppressed and countermeasures are taken. Such regulatory technologies also have problems with high cost, inconvenient deployment, non-normative use, and difficulty in achieving effective detection, identification, and counter-control of the small-sized drones.
Disclosure of Invention
Technical problem to be solved
The present disclosure provides an unmanned aerial vehicle management and control platform and a management and control method based on airspace security assessment to at least partially solve the above-mentioned technical problems.
(II) technical scheme
According to an aspect of the present disclosure, an unmanned aerial vehicle management and control platform based on airspace security assessment is provided, the unmanned aerial vehicle management and control platform includes:
the airspace modeling and evaluating module is used for establishing an airspace model for a region airspace in advance; setting airspace safety data of the region according to the flight behavior limit range of the unmanned aerial vehicle of each region, and establishing a safety evaluation model of the airspace model;
a data acquisition module for acquiring real-time data of a sensor, the sensor comprising: at least one of a ground radar, a broadcast type automatic correlation monitoring sensor and a GPS/Beidou positioning tracker; the real-time data includes: one or more of unmanned aerial vehicle data, anti-unmanned aerial vehicle detection data, air traffic control data, broadcast type automatic correlation monitoring data or Beidou data in the regional airspace;
the target identification module is used for detecting whether an aerial unmanned aerial vehicle exists in the regional airspace in real time, identifying the model of the unmanned aerial vehicle under the condition that the aerial unmanned aerial vehicle exists, and identifying whether the unmanned aerial vehicle is a cooperative target; and
the early warning processing module is used for comparing registration information, verifying a flight plan and matching flight data in real time by means of an existing unmanned aerial vehicle management system under the condition that the unmanned aerial vehicle is a cooperative target, monitoring the unmanned aerial vehicle and evaluating the threat degree of the unmanned aerial vehicle according to a safety evaluation model of the airspace model; the unmanned aerial vehicle monitoring system is used for actively identifying according to target information characteristics and evaluating the threat degree of the unmanned aerial vehicle according to a safety evaluation model of the airspace model under the condition that the unmanned aerial vehicle is a non-cooperative target or the unmanned aerial vehicle is a cooperative target and has abnormal invasion; and adopting different processing means to threaten based on the evaluation result, wherein the threat level is lower to carry out early warning and prevention, and the threat level is higher to adopt approach or attack means.
In an embodiment of the disclosure, the early warning handling module allows an early warning policy to be preset, and can screen a handling plan and give a handling decision suggestion when a high threat level target is found;
the early warning disposal module can distribute disposal decisions to related equipment systems, so that the equipment systems cooperate to finish the disposal of the target;
after the treatment is finished, the treatment result can be evaluated, and the evaluation content comprises the damage degree, whether the treatment equipment is reasonable and whether the striking is needed; and
treatment decision suggestions can be regenerated from the treatment results.
In an embodiment of the present disclosure, the unmanned aerial vehicle management and control platform further includes: the flight plan management module is used for receiving flight plan data, loading and displaying a planned plan, fusing the moving target data detected by the sensor and visually displaying the association relationship between the fused moving target and the original moving target; displaying the dynamic target data detected by each sensor and the fused dynamic target data on the map in a dynamic target mode to generate scout situation information; wherein the flight plan data comprises: planning a planning basis, planning a time period, planning an executor and using an airspace; the planned plan comprises: deployment information of each device, reconnaissance range of each device, and time period of deployment.
In an embodiment of the present disclosure, the unmanned aerial vehicle management and control platform further includes: and the situation display module is used for displaying the global image in the defense range in a superposition manner, and comprises the power coverage range of a radar detection system, a radio detection system and a photoelectric detection system, the real-time position of the target, the flight track, the log report, the statistical information and the setting information of the flight forbidden zone.
In an embodiment of the present disclosure, the unmanned aerial vehicle management and control platform is electrically connected or communicatively connected to at least one of an existing unmanned aerial vehicle management system module, an industry air traffic control platform, and a management and control client.
In an embodiment of the present disclosure, the airspace safety data supports user-autonomous planning, with a certain core planning of preset ranges of warning areas, core areas, and strike areas in terms of threat levels.
According to another aspect of the disclosure, an unmanned aerial vehicle management and control method based on airspace security assessment is provided, which includes: establishing a space domain model for a region space domain in advance; setting airspace safety data of the region according to the flight behavior limit range of the unmanned aerial vehicle of each region, and establishing a safety evaluation model of the airspace model; detecting whether an aerial unmanned aerial vehicle exists in the regional airspace in real time, identifying the model of the unmanned aerial vehicle under the condition that the aerial unmanned aerial vehicle exists, and identifying whether the unmanned aerial vehicle is a cooperative target; under the condition that the unmanned aerial vehicle is a cooperative target, the registration information comparison, the flight plan verification and the real-time matching of flight data are carried out by means of an existing unmanned aerial vehicle management system, the unmanned aerial vehicle is monitored, and the threat degree of the unmanned aerial vehicle is evaluated according to the safety evaluation model of the airspace model; and under the condition that the unmanned aerial vehicle is a non-cooperative target or the unmanned aerial vehicle is a cooperative target and has abnormal invasion, actively identifying according to target information characteristics and evaluating the threat degree of the unmanned aerial vehicle according to a safety evaluation model of the airspace model; and adopting different processing means to threaten based on the evaluation result, wherein the threat level is lower to carry out early warning and prevention, and the threat level is higher to adopt approach or attack means.
In an embodiment of the present disclosure, the step of building a spatial domain model for a regional spatial domain in advance includes: establishing a space domain model for a regional space domain by using computer software, wherein the space domain model can reflect the current space domain operation condition; and simulating the airspace model to obtain the operation index of the current regional airspace.
In an embodiment of the present disclosure, the step of setting the airspace security data of the region according to the flight behavior limit range of each region for the unmanned aerial vehicle includes: setting airspace safety data of the region according to the flight behavior limit range of the unmanned aerial vehicle of each region, wherein the airspace types comprise: the airspace safety data support the autonomous planning of a user, and the airspace safety data are used as a core to plan warning areas, core areas and attack areas within a preset range according to the threat degree.
In an embodiment of the present disclosure, the step of establishing the safety assessment model of the airspace model includes: the method comprises the steps of establishing a safety evaluation model of the airspace model according to an airspace planning target and airspace safety data, evaluating various index data after the airspace model is implemented through simulation, and comparing and analyzing the various index data and the mutual relation to obtain the degree of the airspace model capable of achieving the airspace planning target.
(III) advantageous effects
According to the technical scheme, the unmanned aerial vehicle management and control platform and the unmanned aerial vehicle management and control method based on airspace safety assessment have the following beneficial effects:
by establishing an airspace model for an airspace of a region in advance, setting airspace safety data of the region and establishing a safety evaluation model of the airspace model, the flight behavior of the unmanned aerial vehicle in the region has a uniform criterion and a scientific safety evaluation mode, and for the unmanned aerial vehicle of a cooperative target, registration information comparison, flight plan verification and real-time matching of flight data can be carried out by means of an existing management system, and the unmanned aerial vehicle of the type is monitored and alarmed; for the unmanned aerial vehicle of the non-cooperative target or under the condition that the unmanned aerial vehicle is abnormal invasion of the cooperative target, actively identifying according to the target information characteristics and evaluating the threat degree of the unmanned aerial vehicle according to the safety evaluation model of the airspace model so as to adopt a corresponding processing mode; the unified supervision of all unmanned aerial vehicles is realized.
Drawings
Fig. 1 is a block diagram illustrating a structure of an unmanned aerial vehicle management and control platform based on airspace security assessment according to an embodiment of the present disclosure.
Fig. 2 is a structural example of each functional module of the drone management and control platform according to an example of the present disclosure.
Fig. 3 is a schematic process diagram of unified supervision of the unmanned aerial vehicle by the unmanned aerial vehicle management and control platform based on airspace security assessment according to an embodiment of the present disclosure.
Fig. 4 is a flowchart of an unmanned aerial vehicle control method based on airspace security assessment according to an embodiment of the present disclosure.
Fig. 5 is a diagram illustrating an implementation process of the method for controlling an unmanned aerial vehicle according to an embodiment of the disclosure.
Detailed Description
The utility model provides an unmanned aerial vehicle management and control platform and management and control method based on airspace safety assessment, through establish airspace model, set for the airspace security data in this area to a region airspace in advance, and establish the safety assessment model of airspace model for this region unmanned aerial vehicle's flight action has unified criterion and scientific safety assessment mode, to cooperative target and non-cooperative target's unmanned aerial vehicle, takes corresponding processing mode, has realized the unified supervision to all unmanned aerial vehicles.
For the purpose of promoting a better understanding of the objects, aspects and advantages of the present disclosure, reference is made to the following detailed description taken in conjunction with the accompanying drawings.
First embodiment
In a first exemplary embodiment of the present disclosure, an unmanned aerial vehicle management and control platform based on airspace security assessment is provided.
Fig. 1 is a block diagram illustrating a structure of an unmanned aerial vehicle management and control platform based on airspace security assessment according to an embodiment of the present disclosure. Fig. 2 is a structural example of each functional module of the drone management and control platform according to an example of the present disclosure.
Referring to fig. 1 and fig. 2, the unmanned aerial vehicle management and control platform based on airspace safety assessment of the present disclosure includes: the system comprises an airspace modeling and evaluating module, a data acquiring module, a target identifying module and an early warning processing module.
The system comprises a spatial domain modeling and evaluating module, a spatial domain modeling and evaluating module and a spatial domain model establishing module, wherein the spatial domain modeling and evaluating module is used for establishing a spatial domain model for a regional spatial domain in advance; and setting airspace safety data of the region according to the flight behavior limit range of the unmanned aerial vehicle of each region, and establishing a safety evaluation model of the airspace model. In this embodiment, referring to fig. 2, the functions of the airspace modeling and evaluating module corresponding to airspace security management include: the system comprises a model management module, an algorithm management module and a task management module, wherein when airspace modeling is carried out, a airspace model is established for a region airspace by using computer software, and the airspace model can reflect the current airspace operating condition; and simulating the airspace model to obtain the operation index of the current regional airspace. The model management module can store or retrieve a plurality of basic models or new models. The algorithm management module is used for providing algorithm support required by various modeling and simulation. The task management module is used for providing and managing flight tasks of various aircrafts, for example, providing flight plans of the unmanned aerial vehicles, including flight time, flight tracks, flight ranges and the like.
In this embodiment, the data acquisition module is configured to acquire real-time data of the sensor. Referring to fig. 2, the sensors include, but are not limited to: at least one of a ground radar, a broadcast automatic dependent surveillance (ADS-B) sensor, and a GPS/Beidou positioning tracker; the real-time data includes but is not limited to: one or more of unmanned aerial vehicle data, anti-unmanned aerial vehicle detection data, air traffic control data, broadcast automatic dependent surveillance (ADS-B) data or Beidou data in the airspace of the region. For example, as shown in fig. 2, the data acquisition module includes a data access module, and the data access module includes: the system comprises a video monitoring module, a meteorological information module, a flight monitoring module and a GPS timing module.
In this embodiment, the target identification module is configured to detect whether there is an aerial unmanned aerial vehicle in the regional airspace in real time, identify the model of the unmanned aerial vehicle when there is an aerial unmanned aerial vehicle, and identify whether the unmanned aerial vehicle is a cooperative target.
In this embodiment, the early warning processing module is configured to compare registration information, verify a flight plan, and perform real-time matching on flight data with the aid of an existing unmanned aerial vehicle management system when an unmanned aerial vehicle is a cooperative target, monitor the unmanned aerial vehicle of this type, and evaluate a threat level of the unmanned aerial vehicle according to a security evaluation model of the airspace model; the unmanned aerial vehicle security evaluation system is used for actively identifying according to target information characteristics and evaluating the threat degree of the unmanned aerial vehicle according to a security evaluation model of the airspace model under the condition that the unmanned aerial vehicle is a non-cooperative target; and adopting different processing means to threaten based on the evaluation result, wherein the threat level is lower to carry out early warning and prevention, and the threat level is higher to adopt approach or attack means. Referring to fig. 2, the early warning handling module has two main functions, as indicated by the corresponding dashed boxes: threat assessment and early warning treatment.
In an embodiment of the disclosure, the early warning handling module allows an early warning policy to be preset, and can screen a handling plan and give a handling decision suggestion when a high threat level target is found;
the early warning disposal module can distribute disposal decisions to related equipment systems, so that the equipment systems cooperate to finish the disposal of the target;
after the treatment is finished, the treatment result can be evaluated, and the evaluation content comprises the damage degree, whether the treatment equipment is reasonable and whether the striking is needed; and
treatment decision suggestions can be regenerated from the treatment results.
In an embodiment of the present disclosure, referring to fig. 2, the drone management and control platform further includes: the flight plan management module is used for receiving flight plan data, loading and displaying a planned plan, fusing the moving target data detected by the sensor and visually displaying the association relationship between the fused moving target and the original moving target; and displaying the dynamic target data detected by each sensor and the fused dynamic target data on the map in a dynamic target mode to generate scouting situation information.
Wherein the flight plan data comprises: planning a planning basis, planning a time period, planning an executor and using an airspace; the planned plan comprises: deployment information of each device, reconnaissance range of each device, and time period of deployment.
In an embodiment of the present disclosure, referring to fig. 2, the drone management and control platform further includes: and the situation display module is used for displaying the global image in the defense range in a superposition manner, and comprises the power coverage range of a radar detection system, a radio detection system and a photoelectric detection system, the real-time position of the target, the flight track, the log report, the statistical information and the setting information of the flight forbidden zone. The situation display module can be 2D or 3D and displays, and the situation display module can be a display interface of the unmanned aerial vehicle management and control platform.
Fig. 3 is a schematic process diagram of unified supervision of the unmanned aerial vehicle by the unmanned aerial vehicle management and control platform based on airspace security assessment according to an embodiment of the present disclosure.
In an embodiment of the present disclosure, the unmanned aerial vehicle management and control platform is electrically connected or communicatively connected to at least one of an existing unmanned aerial vehicle management system module, an industry air traffic control platform, and a management and control client. Referring to fig. 3, in the present embodiment, the drone management and control platform is communicatively connected to the existing drone management system module and the ground drone opposing system as an example.
Referring to fig. 3, the unmanned aerial vehicle management and control platform of the embodiment implements the following management and control process for an unmanned aerial vehicle:
the unmanned aerial vehicle management and control platform is in communication connection (butt joint) with an existing unmanned aerial vehicle management system module and a ground-oriented unmanned aerial vehicle system, acquires real-time data acquired by the unmanned aerial vehicle management system module and the ground-oriented unmanned aerial vehicle system, and performs fusion processing on the data;
when the unmanned aerial vehicle is a cooperative target, the existing unmanned aerial vehicle management system identifies the cooperative target and communicates with a flight plan management module of an unmanned aerial vehicle control platform, the flight plan management module receives flight plan data, loads and displays a simulated plan, and performs fusion processing on moving target data detected by a sensor (the sensor can be a sensor in the existing unmanned aerial vehicle management system or a sensor of the unmanned aerial vehicle control platform), so as to visually display the incidence relation of the fused moving target and the original moving target; displaying the dynamic target data detected by each sensor and the fused dynamic target data on the map in a dynamic target mode to generate scout situation information; and monitoring the cooperative target is realized. Meanwhile, the threat degree of the unmanned aerial vehicle is evaluated according to the safety evaluation model of the airspace model, and airspace safety management is realized.
And detecting by a target-to-ground unmanned aerial vehicle system when the unmanned aerial vehicle is a cooperative target and is abnormally invaded or when the unmanned aerial vehicle is a non-cooperative target, actively identifying according to target information characteristics, namely monitoring and identifying target information, and evaluating the threat degree of the unmanned aerial vehicle according to the safety evaluation model of the airspace model. And adopting different processing means to threaten based on the evaluation result, wherein the threat level is lower to carry out early warning and prevention, and the threat level is higher to adopt approach or attack means.
In an embodiment of the present disclosure, the airspace safety data supports user-autonomous planning, with a certain core planning of preset ranges of warning areas, core areas, and strike areas in terms of threat levels.
The unmanned aerial vehicle management and control platform based on airspace safety assessment of the embodiment establishes an airspace model for an airspace of a region in advance, sets airspace safety data of the region, and establishes a safety assessment model of the airspace model, so that the flight behavior of the unmanned aerial vehicle in the region has a uniform criterion and a scientific safety assessment mode, and for the unmanned aerial vehicle of a cooperative target, registration information comparison, flight plan verification and real-time matching of flight data can be performed by means of an existing management system, and the unmanned aerial vehicle of the type is monitored and alarmed; when the unmanned aerial vehicle of the non-cooperative target or the unmanned aerial vehicle of the cooperative target is abnormal, actively identifying according to target information characteristics and evaluating the threat degree of the unmanned aerial vehicle according to the safety evaluation model of the airspace model so as to adopt a corresponding processing mode; the unified supervision of all unmanned aerial vehicles is realized.
Second embodiment
In a second exemplary embodiment of the present disclosure, an unmanned aerial vehicle control method based on airspace security assessment is provided.
Fig. 4 is a flowchart of an unmanned aerial vehicle control method based on airspace security assessment according to an embodiment of the present disclosure. Fig. 5 is a diagram illustrating an implementation process of the method for controlling an unmanned aerial vehicle according to an embodiment of the disclosure.
Referring to fig. 4 and 5, in this embodiment, the unmanned aerial vehicle control method based on airspace security assessment includes:
step S21: establishing a space domain model for a region space domain in advance; setting airspace safety data of the region according to the flight behavior limit range of the unmanned aerial vehicle of each region, and establishing a safety evaluation model of the airspace model;
in an embodiment of the present disclosure, the step of building a spatial domain model for a regional spatial domain in advance includes: establishing a space domain model for a regional space domain by using computer software, wherein the space domain model can reflect the current space domain operation condition; and simulating the airspace model to obtain the operation index of the current regional airspace.
In an embodiment of the present disclosure, the step of setting the airspace security data of the region according to the flight behavior limit range of each region for the unmanned aerial vehicle includes: setting airspace safety data of the region according to the flight behavior limit range of the unmanned aerial vehicle of each region, wherein the airspace types comprise: the airspace safety data support the autonomous planning of a user, and the airspace safety data are used as a core to plan warning areas, core areas and attack areas within a preset range according to the threat degree.
In an embodiment of the present disclosure, the step of establishing the safety assessment model of the airspace model includes: the method comprises the steps of establishing a safety evaluation model of the airspace model according to an airspace planning target and airspace safety data, evaluating various index data after the airspace model is implemented through simulation, and comparing and analyzing the various index data and the mutual relation to obtain the degree of the airspace model capable of achieving the airspace planning target.
Step S22: detecting whether an aerial unmanned aerial vehicle exists in the regional airspace in real time;
step S23: identifying the type of the unmanned aerial vehicle and identifying whether the unmanned aerial vehicle is a cooperative target under the condition that the unmanned aerial vehicle exists;
step S24: under the condition that the unmanned aerial vehicle is a cooperative target, the registration information comparison, the flight plan verification and the real-time matching of flight data are carried out by means of an existing unmanned aerial vehicle management system, the unmanned aerial vehicle is monitored, and the threat degree of the unmanned aerial vehicle is evaluated according to the safety evaluation model of the airspace model;
different processing means are adopted for threat based on the evaluation result, early warning and prevention are carried out when the threat level is low, and approach or attack means are adopted when the threat level is high.
Step S25: under the condition that the unmanned aerial vehicle is a non-cooperative target or the unmanned aerial vehicle is a cooperative target and has abnormal invasion, actively identifying according to target information characteristics and evaluating the threat degree of the unmanned aerial vehicle according to a safety evaluation model of the airspace model;
different processing means are adopted for threat based on the evaluation result, early warning and prevention are carried out when the threat level is low, and approach or attack means are adopted when the threat level is high.
In a specific example, for a certain specific airspace, the ground reaction unmanned aerial vehicle system adopts a radio monitoring technology means, and the reconnaissance of the data transmission link and the measurement and control link of the unmanned aerial vehicle realizes the discovery of the unmanned aerial vehicle and the identification of the model of the unmanned aerial vehicle, and identifies whether the unmanned aerial vehicle is a cooperative target. For the cooperative target, monitoring is carried out when the airspace use range does not violate the reported flight plan; for a non-cooperative target, the unmanned aerial vehicle is controlled by adopting smart interference on the measurement and control signal and the GPS navigation signal, so that the aim of forcing the unmanned aerial vehicle to land or return is fulfilled.
In summary, the present disclosure provides an unmanned aerial vehicle control platform and a control method based on airspace security assessment, by establishing an airspace model for an airspace of a region in advance, setting airspace security data of the region, and establishing a security assessment model of the airspace model, the flight behavior of the unmanned aerial vehicle in the region has a uniform criterion and a scientific security assessment manner, for an unmanned aerial vehicle of a cooperative target, registration information comparison, flight plan verification and real-time matching of flight data can be performed by means of an existing management system, and monitoring and alarming are performed on the unmanned aerial vehicle of the type; for the unmanned aerial vehicle of the non-cooperative target or under the condition that the unmanned aerial vehicle is abnormal invasion of the cooperative target, actively identifying according to the target information characteristics and evaluating the threat degree of the unmanned aerial vehicle according to the safety evaluation model of the airspace model so as to adopt a corresponding processing mode; the unified supervision of all unmanned aerial vehicles is realized.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adapted and arranged in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise. Also in the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware.
It should also be noted that while the present disclosure has been described in connection with the accompanying drawings, the embodiments disclosed in the drawings are intended to be illustrative of the preferred embodiments of the present disclosure and should not be construed as limiting the present disclosure.
The above-mentioned embodiments are intended to illustrate the objects, aspects and advantages of the present disclosure in further detail, and it should be understood that the above-mentioned embodiments are only illustrative of the present disclosure and are not intended to limit the present disclosure, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present disclosure should be included in the scope of the present disclosure.
Claims (10)
1. Unmanned aerial vehicle management and control platform based on airspace safety assessment, its characterized in that, unmanned aerial vehicle management and control platform includes:
the airspace modeling and evaluating module is used for establishing an airspace model for a region airspace in advance; setting airspace safety data of the region according to the flight behavior limit range of the unmanned aerial vehicle of each region, and establishing a safety evaluation model of the airspace model;
a data acquisition module for acquiring real-time data of a sensor, the sensor comprising: at least one of a ground radar, a broadcast type automatic correlation monitoring sensor and a GPS/Beidou positioning tracker; the real-time data includes: one or more of unmanned aerial vehicle data, anti-unmanned aerial vehicle detection data, air traffic control data, broadcast type automatic correlation monitoring data or Beidou data in the regional airspace;
the target identification module is used for detecting whether an aerial unmanned aerial vehicle exists in the regional airspace in real time, identifying the model of the unmanned aerial vehicle under the condition that the aerial unmanned aerial vehicle exists, and identifying whether the unmanned aerial vehicle is a cooperative target; and
the early warning processing module is used for comparing registration information, verifying a flight plan and matching flight data in real time by means of an existing unmanned aerial vehicle management system under the condition that the unmanned aerial vehicle is a cooperative target, monitoring the unmanned aerial vehicle and evaluating the threat degree of the unmanned aerial vehicle according to a safety evaluation model of the airspace model; the unmanned aerial vehicle monitoring system is used for actively identifying according to target information characteristics and evaluating the threat degree of the unmanned aerial vehicle according to a safety evaluation model of the airspace model under the condition that the unmanned aerial vehicle is a non-cooperative target or the unmanned aerial vehicle is a cooperative target and has abnormal invasion; and adopting different processing means to threaten based on the evaluation result, wherein the threat level is lower to carry out early warning and prevention, and the threat level is higher to adopt approach or attack means.
2. The unmanned aerial vehicle management and control platform of claim 1, wherein the early warning handling module allows for a preset early warning policy, and can screen a handling plan and give a handling decision suggestion when a high threat level target is found;
the early warning disposal module can distribute disposal decisions to related equipment systems, so that the equipment systems cooperate to finish the disposal of the target;
after the treatment is finished, the treatment result can be evaluated, and the evaluation content comprises the damage degree, whether the treatment equipment is reasonable and whether the striking is needed; and
treatment decision suggestions can be regenerated from the treatment results.
3. The drone management and control platform of claim 1, further comprising:
the flight plan management module is used for receiving flight plan data, loading and displaying a planned plan, fusing the moving target data detected by the sensor and visually displaying the association relationship between the fused moving target and the original moving target; displaying the dynamic target data detected by each sensor and the fused dynamic target data on the map in a dynamic target mode to generate scout situation information;
wherein the flight plan data comprises: planning a planning basis, planning a time period, planning an executor and using an airspace;
the planned plan comprises: deployment information of each device, reconnaissance range of each device, and time period of deployment.
4. The drone management and control platform of claim 1, further comprising:
and the situation display module is used for displaying the global image in the defense range in a superposition manner, and comprises the power coverage range of a radar detection system, a radio detection system and a photoelectric detection system, the real-time position of the target, the flight track, the log report, the statistical information and the setting information of the flight forbidden zone.
5. The drone management and control platform of claim 1, wherein the drone management and control platform is electrically or communicatively connected to at least one of an existing drone management system module, an industry air management platform, and a management and control client.
6. The unmanned aerial vehicle management and control platform of claim 1, wherein the airspace safety data support user autonomous planning, with a certain core planning a preset range of warning areas, core areas, and strike areas according to threat level.
7. An unmanned aerial vehicle control method based on airspace safety assessment is characterized by comprising the following steps:
establishing a space domain model for a region space domain in advance; setting airspace safety data of the region according to the flight behavior limit range of the unmanned aerial vehicle of each region, and establishing a safety evaluation model of the airspace model;
detecting whether an aerial unmanned aerial vehicle exists in the regional airspace in real time, identifying the model of the unmanned aerial vehicle under the condition that the aerial unmanned aerial vehicle exists, and identifying whether the unmanned aerial vehicle is a cooperative target;
under the condition that the unmanned aerial vehicle is a cooperative target, the registration information comparison, the flight plan verification and the real-time matching of flight data are carried out by means of an existing unmanned aerial vehicle management system, the unmanned aerial vehicle is monitored, and the threat degree of the unmanned aerial vehicle is evaluated according to the safety evaluation model of the airspace model; and under the condition that the unmanned aerial vehicle is a non-cooperative target or the unmanned aerial vehicle is a cooperative target and has abnormal invasion, actively identifying according to target information characteristics and evaluating the threat degree of the unmanned aerial vehicle according to a safety evaluation model of the airspace model; and adopting different processing means to threaten based on the evaluation result, wherein the threat level is lower to carry out early warning and prevention, and the threat level is higher to adopt approach or attack means.
8. The method according to claim 7, wherein the step of building a spatial domain model for a regional spatial domain in advance comprises:
establishing a space domain model for a regional space domain by using computer software, wherein the space domain model can reflect the current space domain operation condition;
and simulating the airspace model to obtain the operation index of the current regional airspace.
9. The unmanned aerial vehicle control method according to claim 7, wherein the step of setting the airspace security data of the region according to the flight behavior limit range of each region for the unmanned aerial vehicle comprises:
setting airspace safety data of the region according to the flight behavior limit range of the unmanned aerial vehicle of each region, wherein the airspace types comprise: the airspace safety data support the autonomous planning of a user, and the airspace safety data are used as a core to plan warning areas, core areas and attack areas within a preset range according to the threat degree.
10. The unmanned aerial vehicle management method of claim 7, wherein the step of establishing a safety assessment model of the airspace model comprises:
the method comprises the steps of establishing a safety evaluation model of the airspace model according to an airspace planning target and airspace safety data, evaluating various index data after the airspace model is implemented through simulation, and comparing and analyzing the various index data and the mutual relation to obtain the degree of the airspace model capable of achieving the airspace planning target.
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111880574A (en) * | 2020-08-04 | 2020-11-03 | 中国人民解放军国防科技大学 | Unmanned aerial vehicle collision avoidance method and system |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106297417A (en) * | 2016-09-27 | 2017-01-04 | 南京航空航天大学 | A kind of unmanned plane during flying service and supervisory systems and method |
| CN106448271A (en) * | 2016-10-09 | 2017-02-22 | 北京国泰北斗科技有限公司 | Airspace management system |
| CN107272731A (en) * | 2017-06-05 | 2017-10-20 | 陈金良 | The automatic anti-collision system of unmanned plane |
| CN107784413A (en) * | 2016-08-30 | 2018-03-09 | 北京蓝警科技有限公司 | One kind integrates the unmanned plane supervisory systems of " examine, detect, supervising, controlling " |
| CN109544996A (en) * | 2018-12-14 | 2019-03-29 | 中电科（德阳广汉）特种飞机系统工程有限公司 | A kind of unmanned plane management-control method, device, system and readable storage medium storing program for executing |
| CN110133573A (en) * | 2019-04-23 | 2019-08-16 | 四川九洲电器集团有限责任公司 | A kind of autonomous low latitude unmanned plane system of defense based on the fusion of multielement bar information |
-
2019
- 2019-11-11 CN CN201911097834.8A patent/CN110968941A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107784413A (en) * | 2016-08-30 | 2018-03-09 | 北京蓝警科技有限公司 | One kind integrates the unmanned plane supervisory systems of " examine, detect, supervising, controlling " |
| CN106297417A (en) * | 2016-09-27 | 2017-01-04 | 南京航空航天大学 | A kind of unmanned plane during flying service and supervisory systems and method |
| CN106448271A (en) * | 2016-10-09 | 2017-02-22 | 北京国泰北斗科技有限公司 | Airspace management system |
| CN107272731A (en) * | 2017-06-05 | 2017-10-20 | 陈金良 | The automatic anti-collision system of unmanned plane |
| CN109544996A (en) * | 2018-12-14 | 2019-03-29 | 中电科（德阳广汉）特种飞机系统工程有限公司 | A kind of unmanned plane management-control method, device, system and readable storage medium storing program for executing |
| CN110133573A (en) * | 2019-04-23 | 2019-08-16 | 四川九洲电器集团有限责任公司 | A kind of autonomous low latitude unmanned plane system of defense based on the fusion of multielement bar information |
Cited By (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111951613A (en) * | 2020-07-24 | 2020-11-17 | 北京航空航天大学 | Air-ground cooperative wide-area airspace security situation assessment method |
| CN111880574B (en) * | 2020-08-04 | 2022-11-11 | 中国人民解放军国防科技大学 | Unmanned aerial vehicle collision avoidance method and system |
| CN111880574A (en) * | 2020-08-04 | 2020-11-03 | 中国人民解放军国防科技大学 | Unmanned aerial vehicle collision avoidance method and system |
| CN111930087A (en) * | 2020-08-10 | 2020-11-13 | 航天科工微电子系统研究院有限公司 | Comprehensive control method for agile low-altitude rejection system |
| CN111930087B (en) * | 2020-08-10 | 2022-02-18 | 航天科工微电子系统研究院有限公司 | Comprehensive control method for agile low-altitude rejection system |
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| CN114139373A (en) * | 2021-11-30 | 2022-03-04 | 中航空管系统装备有限公司 | Multi-sensor automatic cooperative management method for unmanned aerial vehicle reverse braking |
| CN114139373B (en) * | 2021-11-30 | 2024-04-12 | 中航空管系统装备有限公司 | Multi-sensor automatic collaborative management method for unmanned aerial vehicle reverse vehicle |
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| CN114322668B (en) * | 2021-12-15 | 2024-04-19 | 中国船舶重工集团公司第七0九研究所 | Unmanned aerial vehicle countering auxiliary decision-making method for ground defense |
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