CN214174919U - A rotor unmanned aerial vehicle cluster system for burning explodes calamity early warning and processing - Google Patents
A rotor unmanned aerial vehicle cluster system for burning explodes calamity early warning and processing Download PDFInfo
- Publication number
- CN214174919U CN214174919U CN202022527086.7U CN202022527086U CN214174919U CN 214174919 U CN214174919 U CN 214174919U CN 202022527086 U CN202022527086 U CN 202022527086U CN 214174919 U CN214174919 U CN 214174919U
- Authority
- CN
- China
- Prior art keywords
- unmanned aerial
- aerial vehicle
- early warning
- detection
- module
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
- 238000012545 processing Methods 0.000 title claims abstract description 20
- 238000001514 detection method Methods 0.000 claims abstract description 25
- 238000011084 recovery Methods 0.000 claims abstract description 20
- 230000003993 interaction Effects 0.000 claims abstract description 19
- 238000004891 communication Methods 0.000 claims abstract description 12
- 238000005422 blasting Methods 0.000 claims abstract description 11
- 230000002159 abnormal effect Effects 0.000 claims abstract description 8
- 238000003384 imaging method Methods 0.000 claims abstract description 7
- RZVHIXYEVGDQDX-UHFFFAOYSA-N 9,10-anthraquinone Chemical compound C1=CC=C2C(=O)C3=CC=CC=C3C(=O)C2=C1 RZVHIXYEVGDQDX-UHFFFAOYSA-N 0.000 claims abstract description 4
- 230000003287 optical effect Effects 0.000 claims abstract description 4
- 238000004146 energy storage Methods 0.000 claims description 5
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 claims description 3
- 239000002131 composite material Substances 0.000 claims description 3
- 229910052744 lithium Inorganic materials 0.000 claims description 3
- 238000011065 in-situ storage Methods 0.000 claims description 2
- 238000007689 inspection Methods 0.000 abstract description 3
- 238000004880 explosion Methods 0.000 description 5
- 230000006872 improvement Effects 0.000 description 5
- 238000012544 monitoring process Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 208000035473 Communicable disease Diseases 0.000 description 1
- 230000032683 aging Effects 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000005474 detonation Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 231100001261 hazardous Toxicity 0.000 description 1
- 208000015181 infectious disease Diseases 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 238000000034 method Methods 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 238000004064 recycling Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Landscapes
- Alarm Systems (AREA)
Abstract
The utility model relates to a rotor unmanned aerial vehicle cluster system for blasting calamity early warning and processing, include: unmanned aerial vehicle cluster, ground recovery platform, data interaction center. Wherein rotor unmanned aerial vehicle all includes: the system comprises a PCDuino, a flight control system, a Beidou + GPS positioning module, a 5G network communication module and the like; the patrol unmanned aerial vehicle is provided with an infrared sensor and a combustible gas detector, and has a small size and long endurance time; the detection type unmanned aerial vehicle can carry information sensing equipment such as an imaging radar, an optical camera and a hyperspectral imager. In the inspection state, when one inspection type unmanned aerial vehicle finds abnormal conditions, a signal is sent to the server through the 5G network communication module, and the server sends azimuth information to the detection type unmanned aerial vehicle group closest to the server, so that the detection type unmanned aerial vehicle flies to an abnormal area for detection and analysis. The system has the advantages of high automation degree, stable operation, long duration, timely information acquisition and the like.
Description
Technical Field
The utility model relates to an unmanned aerial vehicle field, concretely relates to rotor unmanned aerial vehicle cluster system for blasting calamity early warning and processing.
Background
An unmanned aircraft, abbreviated as "drone", and abbreviated in english as "UAV", is an unmanned aircraft that is operated by a radio remote control device and a self-contained program control device, or is operated autonomously, either completely or intermittently, by an onboard computer. Unmanned planes tend to be more suitable for those hazardous tasks than manned aircraft. In recent years, with the maturity of unmanned aerial vehicle technology, the unmanned aerial vehicle is widely applied to multiple fields such as aerial photography, agriculture, plant protection, miniature autodyne, express transportation, disaster relief, wild animal observation, infectious disease monitoring, surveying and mapping, news reporting, power inspection, disaster relief, movie and television shooting with the characteristics of low cost, high flexibility, safety and the like.
With the development of industry, explosion disasters bring huge hidden dangers to the safety of lives and properties of people, the explosion disasters have the characteristics of time burst property, non-controllable scene situation and the like, and the traditional technical means are difficult to effectively guarantee early warning of the disasters and timely and accurate acquisition of disaster site information. And the small unmanned aerial vehicle has the characteristics of flexible take-off and landing, quick maneuvering and low cost, and can execute tasks under severe conditions. Therefore, the small unmanned aerial vehicle is an effective technical means for solving the problems of early warning of the blasting disaster and acquiring the information of the blasting disaster site.
At present, the unmanned aerial vehicle is widely applied to early warning and disaster relief, but still works independently, needs to be carried out manually and passively, has limited working capacity, and cannot early warn of the fire and explosion disasters timely enough, so that the unmanned aerial vehicle cluster with different functions and a guarantee system are integrated into a system, and the early warning and information acquisition capacity of the fire and explosion disasters is greatly improved.
SUMMERY OF THE UTILITY MODEL
In view of this, the utility model aims to provide a rotor unmanned aerial vehicle cluster system for blasting calamity early warning and processing to solve early warning and the untimely problem of information acquisition at the detonation disaster, discover the abnormal conditions back through patrol type unmanned aerial vehicle crowd, send azimuth information to the detection type unmanned aerial vehicle crowd who awaits the opportune moment and retrieve the platform on ground, make detection type unmanned aerial vehicle fly to unusual area and survey the analysis, early warning and on-the-spot information acquisition are carried out according to the analysis result.
A rotor unmanned aerial vehicle cluster system for blasting disaster early warning and processing includes: the system comprises a patrol type unmanned aerial vehicle cluster, a detection type unmanned aerial vehicle cluster, a ground recovery platform and a data interaction center; patrol type unmanned aerial vehicle crowd, survey type unmanned aerial vehicle crowd and constitute by rotor unmanned aerial vehicle, rotor unmanned aerial vehicle all includes: the system comprises a PCDuino, a flight control system, a Beidou + GPS positioning module, a 5G network communication module, a lithium battery and a wireless charging module;
after the patrol unmanned aerial vehicle group finds abnormal conditions, a signal is sent to the data interaction center through the 5G network communication module, the data interaction center sends azimuth information to the detection unmanned aerial vehicle group which is closest to the data interaction center, the detection unmanned aerial vehicle group flies to an abnormal area for detection and analysis, if the danger detection unmanned aerial vehicle group is confirmed, alarm information is sent to the data interaction center, in-situ detection is continued, and on-site real-time data are provided for rescue workers.
As an improvement, the patrol type unmanned aerial vehicle is small in size and long in endurance time, and only carries a single-function sensor except the body; the detection type unmanned aerial vehicle is large in size and also carries information sensing equipment.
As an improvement, the single function sensor comprises: infrared sensor and combustible gas detector.
As an improvement, the information perceiving device comprises: imaging radar, optical composite imaging sensor, high-sensitivity hyperspectral imager.
As the improvement, the ground recycling platform comprises a landing platform, a wireless charging module, an MCU (microprogrammed control unit) main control module, an energy storage battery, a platform Beidou + GPS (global positioning system) positioning module, a 5G network communication module, a solar charging module and an ultrasonic ranging module, and the platform is powered by solar energy and a power grid and wirelessly charges the unmanned aerial vehicle.
As an improvement, the data interaction center comprises a central processing unit, a 5G base station, an unmanned aerial vehicle group control module and a telemetering information processor; the data interaction center is used for controlling the flight and instruction execution of the unmanned aerial vehicle and integrating and processing the returned data.
The utility model has the advantages that:
by integrating the unmanned aerial vehicle cluster with different functions and the guarantee system into one system, the working efficiency of the unmanned aerial vehicle under complex conditions is improved, the early warning and information acquisition capabilities of blasting disasters are greatly improved, and the latest information is provided for disaster treatment. Compared with the early warning technology of the unmanned aerial vehicle for the fire and explosion disasters in the current stage, the system has the advantages of high automation degree, long working operation stability and duration, timely information acquisition and the like.
Drawings
For the purposes of promoting a better understanding of the objects, features and advantages of the invention, reference will now be made to the following detailed description taken in conjunction with the accompanying drawings in which:
fig. 1 is a schematic view of the overall structure of the unmanned gyroplane cluster system for early warning and processing of blast disasters of the present invention;
fig. 2 is a schematic view of the connection of the unmanned aerial vehicle internal modules of the unmanned aerial vehicle cluster system for the blast disaster early warning and processing of the present invention;
fig. 3 is a schematic layout view of a ground recovery platform of the unmanned gyroplane cluster system for early warning and processing of blast disasters of the present invention;
fig. 4 is a schematic diagram of the connection of the ground recovery platform module of the unmanned gyroplane cluster system for the early warning and treatment of blast disasters of the present invention;
figure 5 is the utility model discloses a rotor unmanned aerial vehicle cluster system's data interaction center module connection schematic diagram for the calamity early warning of blasting and processing.
Fig. 6 is the utility model discloses a rotor unmanned aerial vehicle cluster system's that is used for the calamity early warning of blasting and handles flow schematic diagram that charges.
Wherein, 1-monitoring field, 2-ground recovery platform, 3-detecting unmanned plane reach range within 1 minute.
Detailed Description
The following description of the embodiments of the present invention is provided for illustrative purposes, and other advantages and effects of the present invention will become apparent to those skilled in the art from the present disclosure. The present invention can also be implemented or applied through other different specific embodiments, and various details in the present specification can be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the features in the following embodiments and examples may be combined with each other without conflict.
Wherein the showings are for the purpose of illustrating the invention only and not for the purpose of limiting the same, and in which there is shown by way of illustration only and not in any way limiting the scope of the invention; for a better understanding of the embodiments of the present invention, some parts of the drawings may be omitted, enlarged or reduced, and do not represent the size of an actual product; it will be understood by those skilled in the art that certain well-known structures in the drawings and descriptions thereof may be omitted.
The same or similar reference numerals in the drawings of the embodiments of the present invention correspond to the same or similar parts; in the description of the present invention, it should be understood that if there is an orientation or positional relationship indicated by terms such as "upper", "lower", "left", "right", "front", "rear", etc., based on the orientation or positional relationship shown in the drawings, it is only for convenience of description and simplification of description, but it is not intended to indicate or imply that the device or element referred to must have a specific orientation, be constructed in a specific orientation, and be operated, and therefore, the terms describing the positional relationship in the drawings are only used for illustrative purposes and are not to be construed as limiting the present invention, and the specific meaning of the terms described above will be understood by those of ordinary skill in the art according to the specific circumstances.
Detailed description of the preferred embodiment 1
The embodiment provides a rotor unmanned aerial vehicle cluster system of blasting disaster early warning and processing as shown in fig. 1. The system comprises a patrol type unmanned aerial vehicle group, a detection type unmanned aerial vehicle group, a ground recovery platform and a data interaction center; the patrol type unmanned aerial vehicle cluster, the detection type unmanned aerial vehicle cluster and the ground recovery platform are connected with each other through a data interaction center, wherein the data transmission can be directly carried out on the cluster and the ground recovery platform; the connection and the data transmission are completed by 5G communication.
Specific example 2
As shown in fig. 2, in conjunction with fig. 1, the drone comprises: the system comprises special function sensors such as a PCDuino, a flight control system, a Beidou + GPS positioning module, a 5G network communication module, a lithium battery, a wireless charging module, an infrared sensor, a combustible gas detector and the like; the unmanned aerial vehicle is charged in a high-power wireless mode, and is charged wirelessly by the ground recovery platform wireless charging module; the patrol type unmanned aerial vehicle is small in size and long in endurance time, and only carries small single-function sensors such as an infrared sensor and a combustible gas detector; the detection type unmanned aerial vehicle is large in size and carries information sensing equipment such as an imaging radar, an optical composite imaging sensor and a high-sensitivity hyperspectral imager.
Specific example 3
As shown in fig. 3, and with reference to fig. 1, in this embodiment, the monitoring site 1 is not necessarily regular, and a ground recovery platform 2 should be installed according to actual conditions such as environment and performance of the unmanned aerial vehicle, so that the range 3 reachable by the detection type unmanned aerial vehicle within 1 minute covers all the monitoring sites as far as possible; the installation of the ground recovery platform 2 of the patrol type unmanned aerial vehicle does not make specific requirements.
Specific example 4
As shown in fig. 4, the ground recovery platform comprises: the system comprises a landing platform, a wireless charging module, an MCU (microprogrammed control unit) main control module, an energy storage battery, a platform Beidou + GPS (global positioning system) positioning module, a 5G network communication module, a solar charging module and an ultrasonic ranging module; the wireless charging module, the energy storage battery, the platform Beidou + GPS positioning module and the 5G network communication module are all connected with the MCU main control module; the unmanned aerial vehicle can directly exchange data with the ground recovery platform to complete landing and wireless charging; the ground recovery platform energy storage battery ultrasonic ranging module provides attitude correction for landing of the unmanned aerial vehicle, and can be replaced by a module with better performance; the ground recovery platform provides modules such as an hangar and the like with a certain unmanned aerial vehicle protection function, and the aging speed of the unmanned aerial vehicle in a standby state is slowed down.
Specific example 5
As shown in fig. 5, the data interaction center includes: the system comprises a central processing unit, a 5G base station, an unmanned aerial vehicle group control module and a telemetering information processor; the method is mainly used for controlling the unmanned aerial vehicle group and integrating and processing the returned data.
Specific example 6
As shown in fig. 6, the patrol-type drone group performs 24-hour monitoring and early warning work on a specific area in a marshalling mode, when a first marshalling performs a task, a second marshalling performs wireless charging and standby on a ground recovery platform, when the electric quantity of the drone in the first marshalling is lower and reaches a return flight standard, the drone in the second marshalling performs a handover execution task, and when the electric quantity of the drone in the first marshalling is lower and reaches the return flight standard, the drone in the first marshalling is wirelessly charged and standby after the drone in the first marshalling reaches the recovery platform; the detection type unmanned aerial vehicle cluster is used for detecting abnormal areas in a small group mode, when the electric quantity of a first small group of unmanned aerial vehicles is low and reaches a return standard, a second small group of unmanned aerial vehicles are used for performing handover and executing tasks, and the first small group of unmanned aerial vehicles with low electric quantity return and reach a recovery platform and then are charged wirelessly and stand by.
The present invention has been described in detail with reference to the specific embodiments thereof, which are provided by way of example only, and the present invention is not limited to the specific embodiments described above. Any equivalent modifications and substitutions to those skilled in the art are also within the scope of the present invention. Therefore, the equivalent changes and modifications without departing from the spirit and scope of the present invention should be covered by the scope of the present invention.
Claims (6)
1. The utility model provides a rotor unmanned aerial vehicle cluster system for blasting calamity early warning and processing which characterized in that includes: the system comprises a patrol type unmanned aerial vehicle cluster, a detection type unmanned aerial vehicle cluster, a ground recovery platform and a data interaction center; patrol type unmanned aerial vehicle crowd, survey type unmanned aerial vehicle crowd and constitute by rotor unmanned aerial vehicle, rotor unmanned aerial vehicle all includes: the system comprises a PCDuino, a flight control system, a Beidou + GPS positioning module, a 5G network communication module, a lithium battery and a wireless charging module;
after the patrol unmanned aerial vehicle group finds abnormal conditions, a signal is sent to the data interaction center through the 5G network communication module, the data interaction center sends azimuth information to the detection unmanned aerial vehicle group which is closest to the data interaction center, the detection unmanned aerial vehicle group flies to an abnormal area for detection and analysis, if the danger detection unmanned aerial vehicle group is confirmed, alarm information is sent to the data interaction center, in-situ detection is continued, and on-site real-time data are provided for rescue workers.
2. The rotary wing unmanned aerial vehicle cluster system for blast disaster early warning and treatment according to claim 1, wherein the patrol type unmanned aerial vehicle is small in size, long in endurance time, and only carries a single function sensor except the body; the detection type unmanned aerial vehicle is large in size and also carries information sensing equipment.
3. The clustered system of rotorcraft for blast hazard early warning and handling of claim 2, wherein the single function sensors comprise: infrared sensor and combustible gas detector.
4. The gyroplane cluster system for blast hazard early warning and handling as claimed in claim 2, wherein the information sensing device comprises: imaging radar, optical composite imaging sensor, high-sensitivity hyperspectral imager.
5. The rotor unmanned aerial vehicle cluster system for blast disaster early warning and processing of claim 1, wherein the ground recovery platform comprises a landing platform, a wireless charging module, an MCU master control module, an energy storage battery, a platform Beidou + GPS positioning module, a 5G network communication module, a solar charging module and an ultrasonic ranging module, and the platform is powered by solar energy and a power grid and wirelessly charges the unmanned aerial vehicle.
6. The rotor unmanned aerial vehicle cluster system for blast disaster early warning and processing according to claim 1, wherein the data interaction center comprises a central processing unit, a 5G base station, an unmanned aerial vehicle cluster control module, and a telemetering information processor; the data interaction center is used for controlling the flight and instruction execution of the unmanned aerial vehicle and integrating and processing the returned data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202022527086.7U CN214174919U (en) | 2020-11-05 | 2020-11-05 | A rotor unmanned aerial vehicle cluster system for burning explodes calamity early warning and processing |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202022527086.7U CN214174919U (en) | 2020-11-05 | 2020-11-05 | A rotor unmanned aerial vehicle cluster system for burning explodes calamity early warning and processing |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN214174919U true CN214174919U (en) | 2021-09-10 |
Family
ID=77599344
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202022527086.7U Expired - Fee Related CN214174919U (en) | 2020-11-05 | 2020-11-05 | A rotor unmanned aerial vehicle cluster system for burning explodes calamity early warning and processing |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN214174919U (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117496660A (en) * | 2023-11-08 | 2024-02-02 | 营口天成消防设备有限公司 | Intelligent fire-fighting linkage control system based on unmanned aerial vehicle |
-
2020
- 2020-11-05 CN CN202022527086.7U patent/CN214174919U/en not_active Expired - Fee Related
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117496660A (en) * | 2023-11-08 | 2024-02-02 | 营口天成消防设备有限公司 | Intelligent fire-fighting linkage control system based on unmanned aerial vehicle |
| CN117496660B (en) * | 2023-11-08 | 2024-04-30 | 营口天成消防设备有限公司 | Intelligent fire-fighting linkage control system based on unmanned aerial vehicle |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN203773355U (en) | Three-dimensional multi-image layer type unmanned aerial vehicle real-time positioning monitoring device | |
| CN204822072U (en) | Many rotor unmanned aerial vehicle aircraft with function is reconnoitered in fire control | |
| CN105070005B (en) | Multi-rotor unmanned aerial vehicle and remote measurement and control method | |
| CN106054928B (en) | A kind of full region fire generation measuring method based on unmanned plane network | |
| CN105015767A (en) | Multi-rotor type unmanned aircraft system with fire detecting function | |
| CA3001023A1 (en) | Systems and methods for taking, processing, retrieving, and displaying images from unmanned aerial vehicles | |
| CN105511495A (en) | Control method and system for intelligent unmanned aerial vehicle patrol for power line | |
| WO2017080028A1 (en) | Unmanned aerial vehicle system for positioning source of nuclear radiation | |
| CN103163881A (en) | Power transmission line inspection system based on fixed-wing unmanned aerial vehicle | |
| RU128868U1 (en) | AUTOMATED RADIOACTIVE MATERIAL DETECTION SYSTEM | |
| CN107170195A (en) | A kind of intelligent control method and its system based on unmanned plane | |
| CN110286692A (en) | Wireless communications method, device, unmanned plane and unmanned aerial vehicle control system | |
| CN105786017A (en) | Photovoltaic power station survey, operation and maintenance system based on unmanned aerial vehicle | |
| CN107521678A (en) | The UAS and its method for positioning and capturing for nuclear radiation radioactive source | |
| CN111610538A (en) | Unmanned aerial vehicle navigation decoy system | |
| CN207020539U (en) | A kind of photovoltaic panel Intelligent unattended machine inspection device | |
| CN110647170A (en) | Navigation mark inspection device and method based on unmanned aerial vehicle | |
| CN108803633A (en) | A kind of unmanned plane low latitude monitoring system based on mobile communications network | |
| CN110329527A (en) | A kind of UAV system with parachute safety guard | |
| CN210835732U (en) | Beacon inspection device based on unmanned aerial vehicle | |
| CN201334116Y (en) | Hovering police reconnaissance flight vehicle with infra-red range measuring function | |
| CN107942348A (en) | A kind of road enforcement system based on unmanned plane and robot technology | |
| CN111298329A (en) | Forest fire prevention and extinguishing system of unmanned aerial vehicle platform | |
| CN214174919U (en) | A rotor unmanned aerial vehicle cluster system for burning explodes calamity early warning and processing | |
| CN110554422A (en) | full artificial intelligence system based on many rotor unmanned aerial vehicle flight type nuclide identification appearance |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20210910 |