CN111707639A - Multi-parameter underwater detection unmanned aerial vehicle control system based on spectral analysis technology - Google Patents
Multi-parameter underwater detection unmanned aerial vehicle control system based on spectral analysis technology Download PDFInfo
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- 238000001514 detection method Methods 0.000 title claims abstract description 26
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- 238000001228 spectrum Methods 0.000 claims abstract description 12
- 230000003595 spectral effect Effects 0.000 claims abstract description 6
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- G05D1/10—Simultaneous control of position or course in three dimensions
- G05D1/101—Simultaneous control of position or course in three dimensions specially adapted for aircraft
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- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
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Abstract
The invention discloses a multi-parameter underwater detection unmanned aerial vehicle control system based on a spectrum analysis technology, which comprises a Wi-Fi module, a spectrum water quality detection module, an ultrasonic ranging module, a GPS module and an SD card storage system. Compared with the traditional water quality detection unmanned aerial vehicle, the unmanned aerial vehicle with the system adopts a spectral characteristic detection technology, and the system is closely combined with the requirements of accuracy, rapidness and stability of water sample identification application. Because the identification model based on machine learning is established in the technology, the model can identify not only a simple water sample, but also complex water sample data. Has strong anti-interference performance and expandability. The invention adopts the spectrum technology to detect the water quality, and the speed is faster and more accurate than that of the conventional water chemistry method; not only realizes the perfect combination of 'surveying' and 'sampling', but also realizes the simple and safe operation; the spectral characteristic detection technology is adopted, and the requirements of accuracy, rapidness and stability of water sample identification application are closely combined.
Description
Technical Field
The invention belongs to the field of underwater detection, and particularly relates to a multi-parameter underwater detection unmanned aerial vehicle control system based on a spectral analysis technology.
Background
71 percent of the area of the earth where people live is a water area, and the water area research and other related scientific researches become more important due to more and more pollution, wherein much work needs to detect the water quality. However, in the research process, if the underwater situation is not known and the water is discharged, the time and the labor are wasted, and the underwater situation cannot be known. In addition, the complex underwater environment may also threaten the life safety of people, but it is difficult to obtain a complete sample of a water area without water, and a predetermined work task cannot be completed. And the manual detection is adopted, so that the task period is long, the task difficulty is high, the working efficiency is low, and the personnel safety guarantee is poor.
To above-mentioned problem, it accords with actual need to design a can replace artifical unmanned aerial vehicle that detects to carrying out under water. A control system is proposed for realize detecting unmanned aerial vehicle's control under water to improve detection efficiency, reduce and detect the degree of difficulty, guarantee personnel's safety.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to provide a multi-parameter underwater detection unmanned aerial vehicle control system based on a spectral analysis technology, and solves the problems that in the prior art, the underwater detection is carried out by manpower, the task period is long, the task difficulty is high, the working efficiency is low, and the personnel safety guarantee is poor.
The purpose of the invention can be realized by the following technical scheme:
a multi-parameter underwater detection unmanned aerial vehicle control system based on a spectrum analysis technology comprises a Wi-Fi module, a spectrum water quality detection module, an ultrasonic ranging module, a GPS module and an SD card storage system.
The water quality detection module comprises an optical signal transmitting device and an optical signal receiving device.
The optical signal transmitting device transmits a section of laser signal to a sample, the optical signal receiving device performs spectrum analysis on the received optical signal after receiving the laser signal passing through the sample, OMA tests the water quality and judges the water type of the sample through the analysis of the spectrum signal, and the obtained data result is a signal A.
The ultrasonic ranging module detects the state of the water bottom, draws the result into a number table, and the number table generated by the result is a signal B.
The GPS module can be selectively started.
When the unmanned aerial vehicle range of motion is great, can manually open in radio control system the GPS module, unmanned aerial vehicle will be automatic to carry out the record in built-in map to the orbit that has run through GPS to mark the place of operation sample, the data that the GPS module produced are signal C.
And the signal A, the signal B and the signal C are transmitted to mobile terminals such as mobile phones in real time by using the Wi-Fi module, and are automatically written into the SD card storage system of the unmanned aerial vehicle.
The invention has the beneficial effects that:
1. the invention adopts the spectrum technology to detect the water quality, and the speed is faster and more accurate than that of the conventional water chemistry method;
2. the invention not only realizes the perfect combination of 'surveying' and 'sampling', but also realizes the simple and safe operation;
3. the invention adopts a spectral characteristic detection technology and closely combines the requirements of accuracy, rapidness and stability of water sample identification application.
Drawings
In order to more clearly illustrate the embodiments or technical solutions in the prior art of the present invention, the drawings used in the description of the embodiments or prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained based on these drawings without creative efforts.
FIG. 1 is a schematic diagram of an overall control system of an embodiment of the present invention.
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. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it is to be understood that the terms "opening," "upper," "lower," "thickness," "top," "middle," "length," "inner," "peripheral," and the like are used in an orientation or positional relationship that is merely for convenience in describing and simplifying the description, and do not indicate or imply that the referenced component or element must have a particular orientation, be constructed and operated in a particular orientation, and thus should not be considered as limiting the present invention.
As shown in figure 1, the multi-parameter underwater detection unmanned aerial vehicle control system based on the spectral analysis technology comprises a Wi-Fi module, a spectrum water quality detection module, an ultrasonic ranging module, a GPS module and an SD card storage system.
The unmanned aerial vehicle with the system uses high-intensity laser to excite a water sample to be tested through a built-in spectrum water quality detection module, and characteristic factors are extracted through characteristic identification of spectrum signals to research the spectral characteristics of the water sample. (optics multichannel OMA) and then carry out the analysis to quality of water, there are optical signal transmitting device and optical signal receiving arrangement in this spectrum water quality testing module, and the principle that this spectral analysis device detected does: the optical signal transmitting device transmits a section of laser signal to the sample, the optical signal receiving device carries out spectrum analysis on the received optical signal after receiving the laser signal passing through the sample, OMA carries out water quality test and water type judgment on the sample through the analysis of the spectrum signal, the spectrum is the integral embodiment of all substances in water and contains all information of a water body, water source identification can be carried out only by reading related information, and the accuracy is high. Let the data result obtained from the above water detection be signal a.
Meanwhile, the ultrasonic ranging module detects the water bottom condition, and draws the result into a number table, and the number table generated by the result is a signal B. When unmanned aerial vehicle home range is great, can manually open the GPS module in radio control system, unmanned aerial vehicle will automatically carry out the record in built-in map to the orbit that has run through GPS to mark the place of operation sample, make the data name that above-mentioned GPS module produced signal C. The signal A, the signal B and the signal C both use a Wi-Fi module to transmit real-time signals to mobile terminals such as mobile phones, and are automatically written into an SD card (SD card storage system) of the unmanned aerial vehicle, so that further analysis can be performed on data subsequently.
Compared with the traditional water quality detection unmanned aerial vehicle, the unmanned aerial vehicle with the system adopts a spectral characteristic detection technology, and the system is closely combined with the requirements of accuracy, rapidness and stability of water sample identification application. Because the identification model based on machine learning is established in the technology, the model can identify not only a simple water sample, but also complex water sample data. Has strong anti-interference performance and expandability.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed.
Claims (4)
1. A multi-parameter underwater detection unmanned aerial vehicle control system based on a spectrum analysis technology is characterized by comprising a Wi-Fi module, a spectrum water quality detection module, an ultrasonic ranging module, a GPS module and an SD card storage system;
the water quality detection module comprises an optical signal transmitting device and an optical signal receiving device;
the optical signal transmitting device transmits a section of laser signal to a sample, the optical signal receiving device performs spectral analysis on the received optical signal after receiving the laser signal passing through the sample, OMA performs water quality test and water type judgment on the sample through the analysis of the spectral signal, and the obtained data result is a signal A;
the ultrasonic ranging module detects the state of the water bottom, draws the result into a number table, and the number table generated by the result is a signal B.
2. The system of claim 1, wherein the GPS module is selectively enabled.
3. The system of claim 2, wherein the GPS module is manually turned on in the radio control system when the range of motion of the drone is large, the drone automatically records a running track in a built-in map through the GPS and marks a running sampling location, and the data generated by the GPS module is a signal C.
4. The system of claim 3, wherein the signal A, the signal B and the signal C are transmitted to a mobile terminal such as a mobile phone in real time by using the Wi-Fi module, and are automatically written into the SD card storage system of the unmanned aerial vehicle.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010725538.4A CN111707639A (en) | 2020-07-24 | 2020-07-24 | Multi-parameter underwater detection unmanned aerial vehicle control system based on spectral analysis technology |
| ZA2021/01783A ZA202101783B (en) | 2020-07-24 | 2021-03-17 | System for controlling unmanned aerial vehicle (uav) to perform multi-parameter underwater detection based on spectral analysis |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010725538.4A CN111707639A (en) | 2020-07-24 | 2020-07-24 | Multi-parameter underwater detection unmanned aerial vehicle control system based on spectral analysis technology |
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| CN111707639A true CN111707639A (en) | 2020-09-25 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115980298A (en) * | 2023-03-20 | 2023-04-18 | 山东思睿环境设备科技有限公司 | Multi-parameter-based adaptive water quality detection and analysis method and device |
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| CA2634759A1 (en) * | 2008-06-27 | 2009-12-27 | George Lampropoulos | Intelligent online water quality monitoring system using sensor and non-sensor data fusion |
| CN104458687A (en) * | 2014-12-10 | 2015-03-25 | 安徽理工大学 | Device and method for identifying mine shaft water invasion resource based on laser induction and SIMCA classification method |
| CN204758583U (en) * | 2015-05-15 | 2015-11-11 | 长江水利委员会长江科学院 | Large -scale waters quality of water control sampling integration system based on unmanned aerial vehicle |
| CN107193025A (en) * | 2017-07-14 | 2017-09-22 | 陕西舜洋电子科技有限公司 | A kind of orientable unmanned environment measuring station |
| CN207274973U (en) * | 2017-10-18 | 2018-04-27 | 扬州大学 | A kind of sedimentation monitoring device based on Internet of Things |
-
2020
- 2020-07-24 CN CN202010725538.4A patent/CN111707639A/en active Pending
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2021
- 2021-03-17 ZA ZA2021/01783A patent/ZA202101783B/en unknown
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA2634759A1 (en) * | 2008-06-27 | 2009-12-27 | George Lampropoulos | Intelligent online water quality monitoring system using sensor and non-sensor data fusion |
| CN104458687A (en) * | 2014-12-10 | 2015-03-25 | 安徽理工大学 | Device and method for identifying mine shaft water invasion resource based on laser induction and SIMCA classification method |
| CN204758583U (en) * | 2015-05-15 | 2015-11-11 | 长江水利委员会长江科学院 | Large -scale waters quality of water control sampling integration system based on unmanned aerial vehicle |
| CN107193025A (en) * | 2017-07-14 | 2017-09-22 | 陕西舜洋电子科技有限公司 | A kind of orientable unmanned environment measuring station |
| CN207274973U (en) * | 2017-10-18 | 2018-04-27 | 扬州大学 | A kind of sedimentation monitoring device based on Internet of Things |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115980298A (en) * | 2023-03-20 | 2023-04-18 | 山东思睿环境设备科技有限公司 | Multi-parameter-based adaptive water quality detection and analysis method and device |
| CN115980298B (en) * | 2023-03-20 | 2023-07-21 | 山东思睿环境设备科技有限公司 | Multi-parameter adaptive water quality detection and analysis method and device |
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| ZA202101783B (en) | 2021-05-26 |
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