CN112444892A - Unmanned aerial vehicle monitoring operation platform and method based on active and passive detection means - Google Patents
Unmanned aerial vehicle monitoring operation platform and method based on active and passive detection means Download PDFInfo
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Abstract
The invention provides an unmanned aerial vehicle monitoring operation platform and a method based on active and passive detection means, wherein the method comprises the following steps: the system comprises an unmanned aerial vehicle platform subsystem which is deployed in a designated area and used for implementing a preliminary operation plan by combining weather forecast data and transmitting detection data, an airborne detection subsystem which carries laser microwave active remote sensing and a sensor detection load and acquires the detection data, a catalytic operation subsystem for implementing catalytic operation, and a ground command control subsystem which is used for carrying out operation scheduling and state monitoring on the unmanned aerial vehicle platform subsystem, the airborne detection subsystem and the catalytic operation subsystem, carrying out fusion analysis on the detection data, making a corrected operation plan and scientifically making the catalytic operation plan. The invention takes an advanced mature unmanned aerial vehicle as a carrying platform to carry out a novel intelligent unmanned aerial vehicle monitoring operation platform which integrates the functions of air-ground cloud, rain, aerosol and wind meteorological element fine detection, operation scheme formulation, operation command control, catalytic operation implementation, operation effect evaluation, situation comprehensive display and the like.
Description
Technical Field
The invention relates to the technical field of meteorology, in particular to an unmanned aerial vehicle monitoring operation platform and a method based on active and passive detection means.
Background
The traditional artificial weather influencing means mainly comprise a ground combustion catalyst and a rocket projectile launching release catalyst; in the antiaircraft rain-increasing hail-suppression operation, a flame strip is burnt and a catalyst is scattered by a man, however, the measures have great problems.
Wherein, the ground artificial means has low efficiency, slow effect and low accuracy; the operation precision of the rocket projectile for releasing the catalyst is limited, and certain risk problems exist; the antiaircraft gun operation position is relatively fixed, and the figure benefit is difficult to be exerted; the human-computer is easily influenced by weather conditions, personnel safety is difficult to guarantee, and cloud penetrating operation can not be carried out. Meanwhile, the above means do not have a detection means for monitoring atmospheric factors in real time and judging the figure operation conditions in a preset operation area, cannot monitor and evaluate the operation process in real time, belongs to a blind operation means, and seriously influences the efficiency of figure operation.
Therefore, in order to solve the above problems, a new intelligent unmanned aerial vehicle monitoring operation platform design integrating functions of air-ground cloud, rain, aerosol and weather element fine detection, operation scheme formulation, operation command control, catalytic operation implementation, operation effect assessment, situation comprehensive display and the like is urgently needed.
Disclosure of Invention
The invention relates to a novel intelligent unmanned aerial vehicle monitoring operation platform design which takes an advanced mature unmanned aerial vehicle as a carrying platform and integrates the functions of air-ground cloud, rain, aerosol and wind meteorological element fine detection, operation scheme formulation, operation command control, catalytic operation implementation, operation effect evaluation, situation comprehensive display and the like in order to solve the problems of low efficiency, slow effectiveness, low accuracy and the like of the traditional artificial weather influence means. The invention utilizes an advanced mature unmanned aerial vehicle platform, and can be quickly deployed, installed and used under simple and easy conditions in the field; the active remote sensing detection technology of the laser radar and the millimeter wave cloud and rain radar is utilized to realize three-dimensional detection of elements such as aerosol, cloud, rain, wind and the like under the air route, and the air route weather instrument is utilized to complete continuous monitoring of conventional weather elements such as temperature, humidity, pressure, wind speed and the like on the air route; the spreading of the cold cloud/warm cloud catalyst is completed by the flame and bomb flare strip integrated spreading device; the command control of the unmanned aerial vehicle and the load and the real-time downloading of the load detection data and the operation monitoring data of the unmanned aerial vehicle are realized on the ground through an airborne data link terminal and a ground link terminal; meanwhile, the meteorological sensing data and the operation process monitoring data which are uploaded and downloaded by the machine are subjected to data fusion analysis, so that the functions of operation condition judgment, catalytic operation implementation, operation tracking command, operation effect evaluation, situation comprehensive display and the like are realized; finally, a comprehensive system design of human shadow monitoring, operation and evaluation is formed, and the design goals of multi-factor fine detection, efficient operation and intelligent evaluation are achieved.
The invention provides an unmanned aerial vehicle monitoring operation platform based on active and passive detection means, which comprises: the system comprises an unmanned aerial vehicle platform subsystem which is deployed in a designated area and used for deploying an artificial weather preliminary operation plan by combining weather forecast data and transmitting detection data, an airborne detection subsystem which carries a laser microwave active remote sensing load and an in-situ sensor detection load and transmits and acquires cloud, rain, aerosol, wind and air route temperature and humidity multi-factor detection data, a catalytic operation subsystem which implements catalytic operation, and a ground command control subsystem which is used for carrying out operation scheduling and operation state monitoring on the unmanned aerial vehicle platform subsystem, the airborne detection subsystem and the catalytic operation subsystem, carrying out fusion analysis and formulation on the detection data, correcting the artificial weather preliminary operation plan in real time and formulating the catalytic operation plan.
The invention relates to an unmanned aerial vehicle monitoring operation platform based on active and passive detection means, as an optimal mode, an unmanned aerial vehicle platform subsystem comprises: carry on the aircraft and survey the load and implement preliminary operation planned unmanned aerial vehicle organism, an undercarriage system for unmanned aerial vehicle organism rises and falls, a driving system for the unmanned aerial vehicle organism provides power, an electrical system for the unmanned aerial vehicle organism provides electric power, a task system for carrying out supervisory control to the unmanned aerial vehicle organism, a pencil interface system, a lightning protection rain anti-icing system and a parachute system that is used for unmanned aerial vehicle organism safety to descend.
The invention relates to an unmanned aerial vehicle monitoring operation platform based on active and passive detection means, which is an optimal mode and is characterized in that:
the laser microwave active remote sensing load comprises one or more of the following components: the system comprises a multi-channel aerosol-cloud particle laser radar, a multi-mode wind measurement laser radar, a millimeter wave cloud and rain measurement radar, a cloud image observation camera and a flight line weather instrument.
The invention relates to an unmanned aerial vehicle monitoring operation platform based on active and passive detection means, and as an optimal mode, a millimeter wave cloud and rain measurement radar is an airborne Ka/W multi-band cloud and rain radar.
The unmanned aerial vehicle monitoring operation platform based on the active and passive detection means is an optimal mode, and a cloud image observation camera adopts a visible light CCD.
The invention relates to an unmanned aerial vehicle monitoring operation platform based on active and passive detection means, which is a preferred mode that: the catalytic operation subsystem comprises a flare spreading and hanging cabin group and a catalytic load for implementing catalytic operation, wherein the flare spreading and hanging cabin group is a flare bomb pod integrated device for loading warm cloud or cold cloud catalysts.
The invention relates to an unmanned aerial vehicle monitoring operation platform based on active and passive detection means, which is used as an optimal mode, wherein a ground command control subsystem comprises a ground command control station, a ground differential station, a line-of-sight link, a satellite communication link and comprehensive display and control software, wherein the line-of-sight link and the satellite communication link are used for transmitting detection data with the unmanned aerial vehicle platform subsystem;
the ground command control station comprises a data processing computer for sending and receiving data through a line-of-sight link and a satellite communication link, and a central management monitoring computer for receiving the data of the data processing computer and carrying out operation scheduling and operation state monitoring on the unmanned aerial vehicle platform subsystem, the airborne detection subsystem and the catalytic operation subsystem; the data processing computer and the central management monitoring computer are provided with comprehensive display control software.
The invention provides an unmanned aerial vehicle monitoring operation method based on active and passive detection means, which comprises the following steps:
s1, deploying the unmanned aerial vehicle platform subsystem in a designated area, giving out an operation target area by the integrated display and control software of the ground command and control subsystem in combination with weather forecast data, and making an artificial weather influence preliminary operation plan;
s2: the ground command control subsystem starts to schedule the operation of the unmanned aerial vehicle platform subsystem, the airborne detection subsystem and the catalytic operation subsystem, monitors the operation state, obtains monitoring data and displays the monitoring data in real time;
s3: the unmanned aerial vehicle body flies to a target area to detect according to an artificial weather influence preliminary operation plan and transmits the detection data back to the ground command control subsystem in real time, the airborne detection subsystem simultaneously feeds the detection data back to the ground command control subsystem, the ground command control subsystem fuses inversion detection data to perform catalysis condition criterion, catalytic operation condition potential criterion data are given, the catalytic operation plan is automatically adjusted and corrected, and the catalytic operation subsystem is intelligently guided to perform catalytic operation and obtain catalytic operation data;
s4: the ground command control subsystem classifies, summarizes and analyzes the detection data, the monitoring data and the catalytic operation data from the step S1 to the step S3 to obtain comprehensive data, and realizes the effect evaluation and situation comprehensive display of the catalytic operation;
s5: and the ground command control subsystem uploads the comprehensive data to the data center.
The invention relates to an unmanned aerial vehicle monitoring operation method based on active and passive detection means, which is taken as an optimal mode,
the detection data in step S3 includes one or more of the following: aerosol type, aerosol vertical distribution, aerosol particle number concentration, three-dimensional wind field distribution, radial wind speed, cloud type, cloud height, cloud particles, supercooled water content distribution, particle spectrum distribution, unit volume number concentration, cloud total, cloud macroscopic dynamic change, course temperature, course humidity, course pressure or course wind power.
The unmanned aerial vehicle adopts an advanced and mature unmanned aerial vehicle body, the working radius of the unmanned aerial vehicle can reach 400km, the working height is not less than 7500m, the detection working time is not less than 3h, the effective load is not less than 400kg, and the maximum take-off and landing distance is less than 500 m; the device can be quickly and flexibly deployed, installed and used under simple and easy lifting conditions of roads, flat lawns and the like; has certain protection capability, and can prevent icing, rain and thunder. Meanwhile, the parachute has the function of a complete machine parachute, and can be opened to protect the airplane and detect the safety of the operation load under the unexpected condition.
Carrying advanced laser microwave active remote sensing load and sensor detection load, realizing three-dimensional monitoring of cloud, rain, aerosol and wind below the opposite flight path and real-time continuous detection of conventional meteorological elements of the flight path.
The method adopts a multi-channel aerosol-cloud particle laser radar and a multi-mode wind measurement laser radar to complete the detection of aerosol environments such as aerosol types, aerosol vertical distribution, aerosol particle number concentration and the like below a flight line, data products such as three-dimensional wind field distribution, radial wind speed and the like, and macro-micro characteristics such as cloud types, cloud heights, cloud particles, particle spectrum distribution and the like.
The millimeter wave detection load is an airborne Ka/W multi-band cloud rain radar, and cloud rain macro-micro characteristic elements such as cloud types, cloud heights, cloud particles, supercooled water content distribution, particle spectrum distribution, unit volume number concentration and the like below the air route can be detected.
The cloud image observation camera adopts a visible light CCD to complete the detection of the total cloud amount and the macroscopic dynamic change under the air route.
By adopting the integral design of the flare flame bomb pod, the hot cloud/cold cloud catalyst can be loaded, and the aims of artificial rainfall, cloud reduction and fog dissipation operation are fulfilled.
The adoption stadia data link and the satellite communication beyond-the-horizon link ensure that unmanned aerial vehicle is wearing the normal communication of adverse circumstances such as cloud operation, realize ground to unmanned aerial vehicle's control to survey the unmanned aerial vehicle platform and operating condition data real-time processing analysis, the production data product carries out catalysis operation condition criterion, operation process control, operation effect aassessment.
The unmanned aerial vehicle and the task load data are downloaded to the ground command control subsystem through a data link and are sent to the data processing computer through the serial port network switch; the ground equipment data are uploaded to a data processing computer through a network switch; the data processing computer outputs the production data products to the central management monitoring computer to realize product display and operation state monitoring.
The ground command control subsystem can monitor and display the flight state of the unmanned aerial vehicle and the working condition of each task load in real time, and can intelligently guide the unmanned aerial vehicle to detect and catalyze operation according to the observation and detection information returned in real time by detecting the load; and various information can be comprehensively analyzed, and the operation effect can be evaluated in time.
The invention has the following advantages:
(1) the invention adopts a medium and small unmanned aerial vehicle platform which is mature, reliable, high in safety and relatively low in later-stage operation cost, the flying height can reach 7500m, the dead time can reach 3 hours, the effective load is not less than 400kg, the invention has the protection capability of the whole machine parachute landing, has lower requirements on a take-off and landing field, and can take off and land at a simple airport or a navigation (2B) airport;
(2) according to the invention, active and passive phase supplement, in-situ measurement and remote sensing detection are combined, so that sensing of fine structures and dynamic changes in the interior of clouds can be realized, and clouds, rain, aerosol and wind below a flight line are monitored three-dimensionally, and conventional meteorological elements of the flight line are continuously detected in real time;
(3) compared with the prior art and equipment, the unmanned aerial vehicle monitoring operation platform designed by the invention is quickly and flexibly deployed, installed and used, and has the characteristics of simplicity in operation, various detection elements, strong operation capability, high safety and the like.
Drawings
FIG. 1 is a structural diagram of an unmanned aerial vehicle monitoring operation platform based on active and passive detection means;
FIG. 2 is a structural diagram of an unmanned aerial vehicle platform subsystem of an unmanned aerial vehicle monitoring operation platform based on active and passive detection means;
FIG. 3 is a structural diagram of a catalytic operation subsystem of an unmanned aerial vehicle monitoring operation platform based on active and passive detection means;
FIG. 4 is a structural diagram of a ground control subsystem of an unmanned aerial vehicle monitoring operation platform based on active and passive detection means;
FIG. 5 is a flow chart of a method for monitoring operation of an unmanned aerial vehicle based on active and passive detection means;
FIG. 6 is a structural diagram of an embodiment 5 of an unmanned aerial vehicle monitoring operation platform based on active and passive detection means; .
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
Example 1
As shown in fig. 1, an unmanned aerial vehicle monitoring operation platform based on active and passive detection means includes: the system comprises an unmanned aerial vehicle platform subsystem 1 which is deployed in a designated area and used for implementing an artificial weather influence preliminary operation plan and transmitting detection data by combining weather forecast data, an airborne detection subsystem 2 which carries a laser microwave active remote sensing load and an in-situ sensor detection load and transmits and acquires cloud, rain, aerosol, wind and air route temperature and humidity multi-factor detection data, a catalytic operation subsystem 3 for implementing catalytic operation, and a ground command control subsystem 4 which is used for carrying out operation scheduling and operation state monitoring on the unmanned aerial vehicle platform subsystem 1, the airborne detection subsystem 2 and the catalytic operation subsystem 3, carrying out fusion analysis and formulation on the detection data, correcting the artificial weather influence preliminary operation plan in real time and formulating the catalytic operation plan.
Example 2
As shown in fig. 1-4, an unmanned aerial vehicle monitoring operation platform based on active and passive detection means includes: the system comprises an unmanned aerial vehicle platform subsystem 1 which is deployed in a designated area and used for implementing a preliminary operation plan of artificially influencing weather and transmitting detection data by combining weather forecast data, an airborne detection subsystem 2 which carries a laser microwave active remote sensing load and an in-situ sensor detection load and transmits and acquires cloud, rain, aerosol, wind and course temperature and humidity multi-factor detection data, a catalytic operation subsystem 3 for implementing catalytic operation, and a ground command control subsystem 4 which is used for carrying out operation scheduling and operation state monitoring on the unmanned aerial vehicle platform subsystem 1, the airborne detection subsystem 2 and the catalytic operation subsystem 3, carrying out fusion analysis and formulation on the detection data, correcting the preliminary operation plan of artificially influencing weather in real time and formulating the catalytic operation plan;
unmanned aerial vehicle platform subsystem 1 includes: the unmanned aerial vehicle comprises an unmanned aerial vehicle body 11 carrying an airborne detection load and implementing a primary operation plan, an undercarriage system 12 used for the unmanned aerial vehicle body 11 to rise and fall, a power system 13 used for providing power for the unmanned aerial vehicle body 11, an electrical system 14 used for providing power for the unmanned aerial vehicle body 11, a task system 15 used for managing and controlling the unmanned aerial vehicle body, a wiring harness interface system 16 used for low-frequency signal and power transmission, a lightning and rain protection and ice protection system 17 and a parachute system 18 used for the unmanned aerial vehicle body 11 to land safely;
the laser microwave active remote sensing load comprises one or more of the following components: the system comprises a multi-channel aerosol-cloud particle laser radar, a multi-mode wind measurement laser radar, a millimeter wave cloud and rain measurement radar, a cloud image observation camera and a course weather instrument;
the millimeter wave cloud rain measuring radar is an airborne Ka/W multi-band cloud rain radar;
the cloud image observation camera adopts a visible light CCD;
the catalytic operation subsystem 3 comprises a flare spreading hanging cabin group 31 and a catalytic load 32 for carrying out catalytic operation, wherein the flare spreading hanging cabin group 31 is a flare grenade pod integrated device for loading warm cloud or cold cloud catalysts;
the ground command control subsystem 4 comprises a ground command control station 41, a ground differential station 42, a line-of-sight link 43 and a satellite communication link 44 which are used for transmitting detection data with the unmanned aerial vehicle platform subsystem 1, and comprehensive display control software 45;
the ground command control station 41 comprises a data processing computer for sending and receiving data through a line-of-sight link 43 and a satellite communication link 44 and a central management monitoring computer for receiving the data of the data processing computer and carrying out operation scheduling and operation state monitoring on the unmanned aerial vehicle platform subsystem 1, the airborne detection subsystem 2 and the catalytic operation subsystem 3; the data processing computer and the central management monitoring computer are provided with integrated display control software 45.
Example 3
As shown in fig. 5, an unmanned aerial vehicle monitoring operation method based on active and passive detection means includes the following steps:
s1, deploying the unmanned aerial vehicle platform subsystem 1 in a designated area, giving out an operation target area by combining weather forecast data and the comprehensive display and control software 45 of the ground command and control subsystem 4, and making an artificial weather influence preliminary operation plan;
s2: the ground command control subsystem 4 starts to schedule the operation of the unmanned aerial vehicle platform subsystem 1, the airborne detection subsystem 2 and the catalytic operation subsystem 3, monitors the operation state, obtains monitoring data and displays the monitoring data in real time;
s3: the unmanned aerial vehicle body 11 flies to a target area to detect according to an artificial weather-affecting preliminary operation plan and transmits detection data back to the ground command control subsystem 4 in real time, the airborne detection subsystem 2 simultaneously feeds the detection data back to the ground command control subsystem 4, the ground command control subsystem 4 fuses inversion detection data, catalytic condition criteria are carried out, catalytic operation condition potential criterion data are given out, a catalytic operation plan is automatically adjusted and corrected, and the catalytic operation subsystem 3 is intelligently guided to carry out catalytic operation and obtain catalytic operation data;
s4: the ground command control subsystem 4 classifies, summarizes and analyzes the detection data, the monitoring data and the catalytic operation data from the step S1 to the step S3 to obtain comprehensive data, and realizes the effect evaluation and situation comprehensive display of the catalytic operation;
s5: and the ground command control subsystem 4 uploads the comprehensive data to a data center.
Example 4
As shown in fig. 5, an unmanned aerial vehicle monitoring operation method based on active and passive detection means includes the following steps:
s1, deploying the unmanned aerial vehicle platform subsystem 1 in a designated area, giving out an operation target area by combining weather forecast data and the comprehensive display and control software 45 of the ground command and control subsystem 4, and making an artificial weather influence preliminary operation plan;
s2: the ground command control subsystem 4 starts to schedule the operation of the unmanned aerial vehicle platform subsystem 1, the airborne detection subsystem 2 and the catalytic operation subsystem 3, monitors the operation state, obtains monitoring data and displays the monitoring data in real time;
s3: the unmanned aerial vehicle body 11 flies to a target area to detect according to an artificial weather-affecting preliminary operation plan and transmits detection data back to the ground command control subsystem 4 in real time, the airborne detection subsystem 2 simultaneously feeds the detection data back to the ground command control subsystem 4, the ground command control subsystem 4 fuses inversion detection data, catalytic condition criteria are carried out, catalytic operation condition potential criterion data are given out, a catalytic operation plan is automatically adjusted and corrected, and the catalytic operation subsystem 3 is intelligently guided to carry out catalytic operation and obtain catalytic operation data;
the detection data comprises one or more of the following: aerosol type, aerosol vertical distribution, aerosol particle number concentration, three-dimensional wind field distribution, radial wind speed, cloud type, cloud height, cloud particles, supercooled water content distribution, particle spectrum distribution, unit volume number concentration, cloud total amount, cloud macroscopic dynamic change, route temperature, route humidity, route pressure or route wind power;
s4: the ground command control subsystem 4 classifies, summarizes and analyzes the detection data, the monitoring data and the catalytic operation data from the step S1 to the step S3 to obtain comprehensive data, and realizes the effect evaluation and situation comprehensive display of the catalytic operation;
s5: and the ground command control subsystem 4 uploads the comprehensive data to a data center.
Example 5
As shown in fig. 1 to 6, an unmanned aerial vehicle monitoring operation platform based on active and passive detection means and a method thereof are provided, wherein the unmanned aerial vehicle monitoring operation platform based on active and passive detection means includes: the system comprises an unmanned aerial vehicle platform subsystem 1 which is deployed in a designated area and used for deploying an artificial weather preliminary operation plan and transmitting detection data in combination with weather forecast data, an airborne detection subsystem 2 which carries a laser microwave active remote sensing load and an in-situ sensor detection load and transmits and acquires cloud, rain, aerosol, wind and air route temperature and humidity detection data, a catalytic operation subsystem 3 which implements catalytic operation, and a ground command control subsystem 4 which is used for carrying out operation scheduling and operation state monitoring on the unmanned aerial vehicle platform subsystem 1, the airborne detection subsystem 2 and the catalytic operation subsystem 3, carrying out fusion analysis on the detection data, making and real-time correction on the artificial weather preliminary operation plan and making the catalytic operation plan;
unmanned aerial vehicle platform subsystem 1 includes: the unmanned aerial vehicle comprises an unmanned aerial vehicle body 11 carrying an airborne detection load and implementing a primary operation plan, an undercarriage system 12 used for the unmanned aerial vehicle body 11 to rise and fall, a power system 13 used for providing power for the unmanned aerial vehicle body 11, an electrical system 14 used for providing power for the unmanned aerial vehicle body 11, a task system 15 used for managing and controlling the unmanned aerial vehicle body 11, a wiring harness interface system 16 used for low-frequency signal and power transmission, a lightning and rain protection and ice protection system 17 and a parachute system 18 used for the unmanned aerial vehicle body 11 to safely land;
the laser microwave active remote sensing load comprises one or more of the following components: the system comprises a multi-channel aerosol-cloud particle laser radar, a multi-mode wind measurement laser radar, a millimeter wave cloud and rain measurement radar, a cloud image observation camera and a course weather instrument;
the millimeter wave cloud rain measuring radar is an airborne Ka/W multi-band cloud rain radar;
the cloud image observation camera adopts a visible light CCD;
the catalytic operation subsystem 3 comprises a flare spreading hanging cabin group 31 and a catalytic load 32 for carrying out catalytic operation, wherein the flare spreading hanging cabin group 31 is a flare grenade pod integrated device for loading warm cloud or cold cloud catalysts;
the ground command control subsystem 4 comprises a ground command control station 41, a ground differential station 42, a line-of-sight link 43 and a satellite communication link 44 which are used for transmitting detection data with the unmanned aerial vehicle platform subsystem 1, and comprehensive display control software 45;
the ground command control station 41 comprises a data processing computer for sending and receiving data through a line-of-sight link 43 and a satellite communication link 44 and a central management monitoring computer for receiving the data of the data processing computer and carrying out operation scheduling and operation state monitoring on the unmanned aerial vehicle platform subsystem 1, the airborne detection subsystem 2 and the catalytic operation subsystem 3; the data processing computer and the central management monitoring computer are provided with integrated display control software 45.
The unmanned aerial vehicle platform subsystem 1 adopts an advanced and mature unmanned aerial vehicle body (11), the operating radius of the unmanned aerial vehicle is 400km, the operating height is 7500m, the detection operating time is 3h, the effective load is 400kg, and the maximum take-off and landing distance is 500 m;
the airborne detection subsystem 2 carries an advanced laser microwave active remote sensing load and an in-situ sensor detection load; adopting multi-channel aerosol-cloud particle laser radar and multi-mode wind measuring laser radar; the millimeter wave detection load is an airborne Ka/W multi-band cloud rain radar.
The catalytic operation subsystem 3 adopts a flare shell pod integrated design and loads a warm cloud/cold cloud catalyst.
The unmanned aerial vehicle and the task load data are downloaded to the ground command control subsystem 4 through a data link and are sent to the data processing computer through the serial port network switch; the ground equipment data are uploaded to a data processing computer through a network switch; the data processing computer outputs the production data products to the central management monitoring computer to realize product display and operation state monitoring.
An unmanned aerial vehicle monitoring operation method based on active and passive detection means comprises the following steps:
s1, deploying the unmanned aerial vehicle platform subsystem 1 in a designated area, giving out an operation target area by combining weather forecast data and the comprehensive display and control software 45 of the ground command and control subsystem 4, and making an artificial weather influence preliminary operation plan;
s2: the ground command control subsystem 4 starts to schedule the operation of the unmanned aerial vehicle platform subsystem 1, the airborne detection subsystem 2 and the catalytic operation subsystem 3, monitors the operation state, obtains monitoring data and displays the monitoring data in real time;
s3: the unmanned aerial vehicle body 11 flies to a target area to detect according to an artificial weather-affecting preliminary operation plan and transmits detection data back to the ground command control subsystem 4 in real time, the airborne detection subsystem 2 simultaneously feeds the detection data back to the ground command control subsystem 4, the ground command control subsystem 4 fuses inversion detection data, catalytic condition criteria are carried out, catalytic operation condition potential criterion data are given out, a catalytic operation plan is automatically adjusted and corrected, and the catalytic operation subsystem 3 is intelligently guided to carry out catalytic operation and obtain catalytic operation data;
the detection data comprises one or more of the following: aerosol type, aerosol vertical distribution, aerosol particle number concentration, three-dimensional wind field distribution, radial wind speed, cloud type, cloud height, cloud particles, supercooled water content distribution, particle spectrum distribution, unit volume number concentration, cloud total amount, cloud macroscopic dynamic change, route temperature, route humidity, route pressure or route wind power;
s4: the ground command control subsystem 4 classifies, summarizes and analyzes the detection data, the monitoring data and the catalytic operation data from the step S1 to the step S3 to obtain comprehensive data, and realizes the effect evaluation and situation comprehensive display of the catalytic operation;
s5: and the ground command control subsystem 4 uploads the comprehensive data to a data center.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (9)
1. The utility model provides an unmanned aerial vehicle monitoring operation platform based on active passive detection means which characterized in that: the method comprises the following steps: the unmanned aerial vehicle platform subsystem (1) of deploying in the appointed area that combines weather forecast data to deploy and implement the preliminary operation plan of artificial influence weather and transmit the survey data carries on laser microwave initiative remote sensing load and normal position sensor survey load and transmits and acquires cloud, rain, aerosol, wind and the airborne detection subsystem (2) of line warm-humid pressure survey data, and the catalysis operation subsystem (3) of implementing the catalysis operation with be used for right unmanned aerial vehicle platform subsystem (1) airborne detection subsystem (2) operation scheduling and running state control are carried out in catalysis operation subsystem (3) and are right survey data carries out fusion analysis and formulate and real-time correction the preliminary operation plan of artificial influence weather, formulate the ground command control subsystem (4) of catalysis operation plan.
2. The unmanned aerial vehicle monitoring operation platform based on active and passive detection means of claim 1, wherein: the unmanned aerial vehicle platform subsystem (1) comprises: carry on the aircraft and survey load and implement unmanned aerial vehicle organism (11) of preliminary operation plan, be used for undercarriage system (12) that unmanned aerial vehicle organism (11) rose and fell, do driving system (13) that unmanned aerial vehicle organism (11) provided power, do unmanned aerial vehicle organism (11) provide electric power's electrical system (14), be used for right unmanned aerial vehicle organism (11) carry out supervisory control's task system (15), be used for low frequency signal and power transmission's pencil interface system (16), lightning protection rain anti-icing system (17) and be used for parachute system (18) that unmanned aerial vehicle organism (11) safety is descended.
3. The unmanned aerial vehicle monitoring operation platform based on active and passive detection means of claim 1, wherein:
the laser microwave active remote sensing load comprises one or more of the following components: the system comprises a multi-channel aerosol-cloud particle laser radar, a multi-mode wind measurement laser radar, a millimeter wave cloud and rain measurement radar, a cloud image observation camera and a flight line weather instrument.
4. The unmanned aerial vehicle monitoring operation platform based on active and passive detection means of claim 3, wherein: the millimeter wave cloud and rain measuring radar is an airborne Ka/W multi-band cloud and rain radar.
5. The unmanned aerial vehicle monitoring operation platform based on active and passive detection means of claim 3, wherein: the cloud image observation camera adopts a visible light CCD.
6. The unmanned aerial vehicle monitoring operation platform based on active and passive detection means of claim 1, wherein: the catalytic operation subsystem (3) comprises a flare spreading and hanging cabin group (31) and a catalytic load (32) for performing catalytic operation, wherein the flare spreading and hanging cabin group (31) is a flare bomb pod integrated device for loading warm cloud or cold cloud catalysts.
7. The unmanned aerial vehicle monitoring operation platform based on active and passive detection means of claim 1, wherein: the ground command control subsystem (4) comprises a ground command control station (41), a ground differential station (42), a line-of-sight link (43) and a satellite communication link (44) which are used for transmitting the detection data with the unmanned aerial vehicle platform subsystem (1), and comprehensive display control software (45);
the ground command control station (41) comprises a data processing computer for sending and receiving data through the line-of-sight link (43) and the satellite communication link (44), and a central management monitoring computer for receiving the data of the data processing computer and carrying out operation scheduling and operation state monitoring on the unmanned aerial vehicle platform subsystem (1), the airborne detection subsystem (2) and the catalytic operation subsystem (3); the data processing computer and the central management monitoring computer are provided with the comprehensive display control software (45).
8. An unmanned aerial vehicle monitoring operation method based on active and passive detection means is characterized in that: the method comprises the following steps:
s1, deploying the unmanned aerial vehicle platform subsystem (1) in a designated area, and combining weather forecast data, giving an operation target area by the comprehensive display and control software (45) of the ground command and control subsystem (4) to make an artificial weather influence preliminary operation plan;
s2: the ground command control subsystem (4) starts to schedule the operation of the unmanned aerial vehicle platform subsystem (1), the airborne detection subsystem (2) and the catalytic operation subsystem (3), monitors the operation state, obtains monitoring data and displays the monitoring data in real time;
s3: the unmanned aerial vehicle body (11) flies to a target area to detect according to the weather modification preliminary operation plan and returns detection data to the ground command control subsystem (4) in real time, the airborne detection subsystem (2) simultaneously feeds the detection data back to the ground command control subsystem (4), the ground command control subsystem (4) fuses and inverts the detection data, catalytic condition criteria are carried out, catalytic operation condition potential criterion data are given, the catalytic operation plan is automatically adjusted and corrected, and the catalytic operation subsystem (3) is intelligently guided to implement catalytic operation and obtain catalytic operation data;
s4: the ground command control subsystem (4) classifies, summarizes and analyzes the detection data, the monitoring data and the catalytic operation data from the step S1 to the step S3 to obtain comprehensive data, so as to realize the evaluation of the catalytic operation effect and the comprehensive situation display;
s5: and the ground command control subsystem (4) uploads the comprehensive data to a data center.
9. The unmanned aerial vehicle monitoring operation method based on the active and passive detection means as claimed in claim 8, wherein:
in step S3, the detection data includes one or more of the following: aerosol type, aerosol vertical distribution, aerosol particle number concentration, three-dimensional wind field distribution, radial wind speed, cloud type, cloud height, cloud particles, supercooled water content distribution, particle spectrum distribution, unit volume number concentration, cloud total, cloud macroscopic dynamic change, course temperature, course humidity, course pressure or course wind power.
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