CN104199368A - Field drought severity acquiring device positioned on unmanned plane - Google Patents
Field drought severity acquiring device positioned on unmanned plane Download PDFInfo
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- CN104199368A CN104199368A CN201410484983.0A CN201410484983A CN104199368A CN 104199368 A CN104199368 A CN 104199368A CN 201410484983 A CN201410484983 A CN 201410484983A CN 104199368 A CN104199368 A CN 104199368A
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Abstract
The invention relates to a field drought severity acquiring device positioned on an unmanned plane. The field drought severity acquiring device comprises a magnetic disk memory, a wireless communication interface, unmanned plane driving equipment, camera equipment, image processing equipment and a single chip, wherein the wireless communication interface is used for receiving control signals transmitted by a ground drought severity monitoring platform; the single chip is used for analyzing the control signals so as to acquire drought severity of an objective area; the single chip is connected with the unmanned plane driving equipment so as to drive the unmanned plane to fly to the objective area; the camera equipment transmits an acquired image of the objective area to the image processing equipment so that the image can be processed; the single chip determines a drought severity simulated diagram according to an image processing result; and the magnetic disk memory is connected with the single chip so as to store the drought severity simulated diagram. By the field drought severity acquiring device, field drought severity conditions can be acquired in real time, and field drought severity data can be called when the unmanned plane returns to the base, so that a ground drought severity monitoring department can take pointed drought control measures.
Description
Technical field
The present invention relates to damage caused by a drought monitoring field, relate in particular to a kind of field damage caused by a drought harvester being positioned on unmanned plane.
Background technology
Damage caused by a drought refers to situation of certain area arid of certain time period, and it is few that arid is often referred to fresh water total amount, is not enough to meet the climatic phenomenon of people's existence and economic development, is generally long-term phenomenon, and arid is all the Major Natural Disasters of facing mankind from ancient times to the present.Owing to there is quantitative demand to fresh water in the growths of crops, be less than quantitatively, crops cannot normal growth, even withered, thereby causes and drop in production over a large area to agricultural, and people's food supply cannot normally be guaranteed.Therefore, for fear of further developing of damage caused by a drought, need to obtain first hand damage caused by a drought data, understand the order of severity of various places damage caused by a drought, be convenient to the strategy that drought resisting department takes quantitative directed moisturizing, eliminate targetedly damage caused by a drought.
The scheme that exists some to obtain damage caused by a drought data in prior art is mainly the damage caused by a drought distribution situation that the mode of remote sensing is via satellite understood target area.Utilize the focus that draught monitor is a research and application that carries out of remote sensing.As the while temperature vegetation drought index relevant to normalized differential vegetation index and surface temperature, be that TVDI can be used for draught monitor, especially monitor the relative degree of drought in whole region in year in interior a certain period, and can be used for studying the Spatial Variation of degree of drought.But, utilize the mode of satellite remote sensing damage caused by a drought to have drawback, first, the mode of satellite remote sensing has determined to obtain first hand damage caused by a drought data on the spot, the concrete distribution situation of damage caused by a drought obtaining is accurate not, secondly, satellite remote sensing mode cost is high, is not suitable for zonule fraction department and carries out damage caused by a drought monitoring flexibly.
Therefore, need a kind of new field damage caused by a drought harvester, can be according to the monitoring requirement of supervision department, accurately obtain the damage caused by a drought situation in a certain concrete region, meet that cost is low, demand is flexibly accessed in target damage caused by a drought region simultaneously, in time damage caused by a drought simulation drawing and the vegetation index of the less target area of area are represented to supervision department.
Summary of the invention
In order to address the above problem, the invention provides a kind of field damage caused by a drought harvester being positioned on unmanned plane, use the platform of unmanned plane, replace the higher satellite remote sensing platform of cost, can to any region of monitoring that needs, carry out accurate damage caused by a drought data acquisition flexibly, use the watch-dog of camera head and near infrared sensor combination simultaneously, for supervision department provides many-sided field image data, this field damage caused by a drought harvester precision is high, cost performance is high, have more dirigibility, and the data that provide have more reference value.
According to an aspect of the present invention, a kind of field damage caused by a drought harvester being positioned on unmanned plane is provided, described device comprises magnetic disk memory, wireless communication interface, unmanned plane driving arrangement, picture pick-up device, image processing equipment and single-chip microcomputer, the control signal that described wireless communication interface sends for receiving ground damage caused by a drought monitor supervision platform, described single-chip microcomputer is resolved described control signal, the target area gathering to obtain damage caused by a drought, described single-chip microcomputer connects described unmanned plane driving arrangement to drive the described unmanned plane described target area of flying to, described picture pick-up device sends to described image processing equipment by the described target area image collecting and carries out image processing, described single-chip microcomputer is determined damage caused by a drought simulation drawing according to processing result image, described magnetic disk memory connects described single-chip microcomputer to store described damage caused by a drought simulation drawing.
More specifically, the described field damage caused by a drought harvester being arranged on unmanned plane, described harvester also comprises user input device, be used for according to user's input, determine the partition mode of field image, field upper limit gray threshold, field lower limit gray threshold, first total gray threshold, second total gray threshold and the 3rd total gray threshold, second total gray threshold is greater than first total gray threshold and is less than the 3rd total gray threshold, random access memory, connects described user input device, for storing described partition mode, described field upper limit gray threshold, described field lower limit gray threshold, described first total gray threshold, described second total gray threshold and the described the 3rd total gray threshold, GPS positioning equipment, connects GPS navigation satellite, for receiving the real-time GPS data of unmanned plane position, pressure-altitude sensor, for according near air pressure change unmanned plane, detects the real-time height of unmanned plane position, described image processing equipment by gray-scale value in described target area image the pixel between described field upper limit gray threshold and described field lower limit gray threshold identify and form field image, according to described partition mode, described field image is divided into a plurality of fields subimage, the pixel count of each field subimage is identical, the grey scale pixel value of each field subimage of accumulative total, to obtain total gray-scale value, is exported the position data of each field subimage in described field image simultaneously, near infrared sensor, connects described image processing equipment, usings the subregion at field image place described in described target area as remote measurement region, and the reflection potential based on green vegetation near infrared light, detects the vegetation index in described remote measurement region, described magnetic disk memory is used for storing described damage caused by a drought simulation drawing and described vegetation index, also for return to damage caused by a drought memory command to described single-chip microcomputer after the described damage caused by a drought simulation drawing of storage and described vegetation index, disk read-write interface, connects described magnetic disk memory, for when unmanned plane makes a return voyage, reads described damage caused by a drought simulation drawing and the described vegetation index in described magnetic disk memory, stored, described single-chip microcomputer connects described random access memory, described GPS positioning equipment, described pressure-altitude sensor, described image processing equipment, described near infrared sensor, described wireless communication interface, described unmanned plane driving arrangement, described picture pick-up device and described magnetic disk memory, described control signal is resolved to obtain to target gps data and the object height of described target area, and control described unmanned plane driving arrangement to drive the described unmanned plane described target area of flying to, when in described real-time GPS data, and described real-time height consistent with described target gps data is consistent with described object height, start damage caused by a drought drainage pattern, wherein, in described damage caused by a drought drainage pattern, described single-chip microcomputer starts described picture pick-up device, described image processing equipment and described near infrared sensor, receive total gray-scale value and the position data of each field subimage of described image processing equipment transmission, total gray-scale value based on each field subimage and position data form the damage caused by a drought simulation drawing corresponding with described field image, in described damage caused by a drought simulation drawing, according to total gray-scale value of each field subimage, with employing different colours, represent the damage caused by a drought of each field subimage, when total gray-scale value of field subimage is between 0 and described first total gray threshold, adopt green to represent field subimage, when total gray-scale value of field subimage is between described first total gray threshold and described second total gray threshold, adopt yellow to represent field subimage, when total gray-scale value of field subimage is between described second total gray threshold and the described the 3rd total gray threshold, adopt the orange field subimage that represents, when total gray-scale value of field subimage is between the described the 3rd total gray threshold and 255, adopt redness to represent field subimage, described single-chip microcomputer receives the vegetation index that described near infrared sensor sends simultaneously, described single-chip microcomputer is receiving described damage caused by a drought after memory command, by described wireless communication interface, to described ground damage caused by a drought monitor supervision platform, send and to have gathered order, so that described ground damage caused by a drought monitor supervision platform continues to transmit control signal to control the unmanned plane next target area continuation damage caused by a drought collection of flying to described wireless communication interface.
More specifically, the described field damage caused by a drought harvester being arranged on unmanned plane, the data request signal that described wireless communication interface also sends for receiving described ground damage caused by a drought monitor supervision platform, with under the control of described single-chip microcomputer, described damage caused by a drought simulation drawing and described vegetation index are transmitted to described ground damage caused by a drought monitor supervision platform in real time by described wireless communication interface.
More specifically, described in be arranged in the field damage caused by a drought harvester on unmanned plane, described image processing equipment is the digital processing unit DSP of TMS6000 series.
More specifically, the described field damage caused by a drought harvester being arranged on unmanned plane, described single-chip microcomputer, described random access memory, described GPS positioning equipment, described image processing equipment, described unmanned plane driving arrangement, described magnetic disk memory, described user input device and described disk read-write interface are positioned at the front end panel board of unmanned plane.
More specifically, described in be arranged in the field damage caused by a drought harvester on unmanned plane, described pressure-altitude sensor, described near infrared sensor, described wireless communication interface and described picture pick-up device are positioned on the fuselage of unmanned plane.
More specifically, described in be arranged in the field damage caused by a drought harvester on unmanned plane, described near infrared sensor, is greener based on green vegetation, stronger to the reflection potential of near infrared light, carries out the detection to the vegetation index in described remote measurement region.
Accompanying drawing explanation
Below with reference to accompanying drawing, embodiment of the present invention are described, wherein:
The block diagram that be positioned at field damage caused by a drought harvester unmanned plane on of Fig. 1 for illustrating according to an embodiment of the present invention.
Embodiment
Below with reference to accompanying drawings the embodiment that is positioned at the field damage caused by a drought harvester on unmanned plane of the present invention is elaborated.
Arid refers to long-term without rain or short of rain, and soil moisture deficiency, crop water balance are destroyed and the meteorological disaster of the underproduction.Arid is all the Major Natural Disasters of facing mankind from ancient times to the present.Even in today of science and technology prosperity like this, the catastrophic effect that they cause still can be found everywhere.Investigate the reason that arid causes, the formation reason of Droughts roughly can be grouped into three aspects.
First, be the factor of precipitation aspect.In general, the just easy drought of quantity of precipitation subaverage.For example, when the rainy season in China different regions changes, form the seasonal basis that easily arid area distributes, the whole nation.Areas to the south, the Changjiang river, because wet monsoon is come ahead of time, in the evening of going, rainy season morning and time are long, if 7-8 month rainfall is less, easily produce the dry season.Spring drought and spring and summer connect non-irrigated especially severe to the Northeast, North China in the 6-9 month rainy season.The precipitation that southwest mainly relies on southwest monsoon to bring, 11-April next year is dry season.Arid usually long with its perdurability, involve scope wide, cause the features such as famine and become a kind of serious disaster.Arid can be divided into soil drought and two aspects of atmospheric drought that connect each other.The main manifestations of soil drought and drought is all that precipitation is not enough.Therefore, precipitation deficiency is the very crux of Arid Problem, is arid basic reason.
Quantity of precipitation is directly to affect the whether arid key factor in soil, arid probability and rainfall amount occurs and be directly proportional.Fall hydropenic Climate Cause and have following four aspects: 1, continue broad down draft; 2, local down draft; 3, lack barometric disturbance; 4, lack moist air stream.
Secondly, be the factor of water resource aspect.For example, south China water is many, ploughs few, and northern water is few, and arable land is many.The unbalance condition of water resource between such kind of area is the key factor that causes China's Droughts.
Again, be the factor of social economy aspect, mainly refer to the raising of industrial and agricultural production water in recent decades.Be mainly manifested in: 1, the increase of arable land multiple crop index (number percent of crop sown area and cultivated area in agricultural production area 1 year), the expansion of irrigated area, causes the increase of farmland water requirement; 2, the increase of world population, cause the increase of eating of domestic consumption, and industrial expansion causes again increasing of industrial water consumption, water requirement.
Current, the monitoring of damage caused by a drought distribution situation is mainly concentrated as satellite remote sensing mode.Although this mode can obtain the damage caused by a drought data of certain resolution fast, but because satellite remote sensing cost is high, can not meet the real-time monitoring requirement of supervision department all the period of time, simultaneously the impact of local meteorology, the damage caused by a drought picture that satellite is taken easily causes error, causes damage caused by a drought picture precision not high.
The field damage caused by a drought harvester being positioned on unmanned plane of the present invention, by the mode of unmanned plane image data, can meet supervision department all the period of time, from the requirement of real-time of favored area,, because be, monitor on the spot meanwhile, damage caused by a drought data are more approached actual field situation, precision is high compared with satellite remote sensing mode, thereby can obtain first hand monitor data, and the department of being convenient to take precautions against drought sets drought resisting strategy more targetedly, guaranteed the effect combating the drought and carry out relief work, for agricultural production escorts.
The block diagram that be positioned at field damage caused by a drought harvester unmanned plane on of Fig. 1 for illustrating according to an embodiment of the present invention, as shown in Figure 1, described harvester comprises wireless communication interface 1, user input device 2, random access memory 3, disk read-write interface 4, magnetic disk memory 5, power-supply unit 6, single-chip microcomputer 7, unmanned plane driving arrangement 8, pressure-altitude sensor 9, GPS positioning equipment 10, near infrared sensor 11, image processing equipment 12 and picture pick-up device 13, concrete equipment connecting relation is, single-chip microcomputer 7 respectively with wireless communication interface 1, user input device 2, random access memory 3, disk read-write interface 4, magnetic disk memory 5, unmanned plane driving arrangement 8, pressure-altitude sensor 9, GPS positioning equipment 10, near infrared sensor 11, image processing equipment 12 is connected with picture pick-up device 13, image processing equipment 12 is connected with picture pick-up device 13 with near infrared sensor 11 respectively, disk read-write interface 4 is connected with magnetic disk memory 5, random access memory 3 is connected with user input device 2, wireless communication interface 1 is connected with the ground damage caused by a drought monitor supervision platform 14 of far-end by cordless communication network, and power-supply unit 6 provides power supply supply for the equipment except power-supply unit 6 in the damage caused by a drought harvester of field.
Then, the structure of field of the present invention damage caused by a drought harvester is carried out to more specific description.
In described harvester, the control signal that wireless communication interface 1 sends for receiving ground damage caused by a drought monitor supervision platform 14,7 pairs of described control signals of single-chip microcomputer are resolved, the target area gathering to obtain damage caused by a drought, single-chip microcomputer 7 is controlled unmanned plane driving arrangements 8 to drive the described unmanned plane described target area of flying to, picture pick-up device 13 sends to image processing equipment 12 by the described target area image collecting and carries out image processing, single-chip microcomputer 7 is determined damage caused by a drought simulation drawing according to processing result image, and magnetic disk memory 5 is for storing described damage caused by a drought simulation drawing.
Described harvester also comprises user input device 2, be used for according to user's input, determine the partition mode of field image, field upper limit gray threshold, field lower limit gray threshold, first total gray threshold, second total gray threshold and the 3rd total gray threshold, second total gray threshold is greater than first total gray threshold and is less than the 3rd total gray threshold; Random access memory 3, connect described user input device 2, for storing described partition mode, described field upper limit gray threshold, described field lower limit gray threshold, described first total gray threshold, described second total gray threshold and the described the 3rd total gray threshold.
Described harvester also comprises GPS positioning equipment 10, connects GPS navigation satellite, for receiving the real-time GPS data of unmanned plane position; Pressure-altitude sensor 9, for according near air pressure change unmanned plane, detects the real-time height of unmanned plane position.
Described image processing equipment 12 by gray-scale value in described target area image the pixel between described field upper limit gray threshold and described field lower limit gray threshold identify and form field image, according to described partition mode, described field image is divided into a plurality of fields subimage, the pixel count of each field subimage is identical, the grey scale pixel value of each field subimage of accumulative total, to obtain total gray-scale value, is exported the position data of each field subimage in described field image simultaneously.
Described harvester also comprises near infrared sensor 11, connect described image processing equipment 12, using the subregion at field image place described in described target area as remote measurement region, and the reflection potential based on green vegetation near infrared light, detects the vegetation index in described remote measurement region.
Described magnetic disk memory 5 is for storing described damage caused by a drought simulation drawing and described vegetation index, also for return to damage caused by a drought memory command to described single-chip microcomputer 7 after the described damage caused by a drought simulation drawing of storage and described vegetation index.
Described harvester also comprises disk read-write interface 4, connects described magnetic disk memory 5, for when unmanned plane makes a return voyage, reads described damage caused by a drought simulation drawing and the described vegetation index of storage in described magnetic disk memory 5.
7 pairs of described control signals of described single-chip microcomputer resolve to obtain target gps data and the object height of described target area, and control described unmanned plane driving arrangement 8 to drive the described unmanned plane described target area of flying to, when and described real-time height consistent with described target gps data is consistent with described object height in described real-time GPS data, start damage caused by a drought drainage pattern.
In described damage caused by a drought drainage pattern, described single-chip microcomputer 7 starts described picture pick-up device 13, described image processing equipment 12 and described near infrared sensor 11, receive total gray-scale value and the position data of each field subimage of described image processing equipment 12 transmissions, total gray-scale value based on each field subimage and position data form the damage caused by a drought simulation drawing corresponding with described field image, in described damage caused by a drought simulation drawing, according to total gray-scale value of each field subimage, with employing different colours, represent the damage caused by a drought of each field subimage, when total gray-scale value of field subimage is between 0 and described first total gray threshold, adopt green to represent field subimage, when total gray-scale value of field subimage is between described first total gray threshold and described second total gray threshold, adopt yellow to represent field subimage, when total gray-scale value of field subimage is between described second total gray threshold and the described the 3rd total gray threshold, adopt the orange field subimage that represents, when total gray-scale value of field subimage is between the described the 3rd total gray threshold and 255, adopt redness to represent field subimage, simultaneously described single-chip microcomputer 7 receives the vegetation index that described near infrared sensor 11 sends.
Described single-chip microcomputer 7 is receiving described damage caused by a drought after memory command, by described wireless communication interface 1, to described ground damage caused by a drought monitor supervision platform 14, send and has gathered order, so that described ground damage caused by a drought monitor supervision platform 14 continues to transmit control signal to control the unmanned plane next target area continuation damage caused by a drought collection of flying to described wireless communication interface 1.
Wherein, the data request signal that described wireless communication interface 1 can also send for receiving described ground damage caused by a drought monitor supervision platform 14, under the control at described single-chip microcomputer 7, described damage caused by a drought simulation drawing and described vegetation index are transmitted to described ground damage caused by a drought monitor supervision platform 14 in real time by described wireless communication interface 1; Described image processing equipment 12 is chosen as the digital processing unit DSP of TMS6000 series; Described single-chip microcomputer 7, described random access memory 3, described GPS positioning equipment 10, described image processing equipment 12, described unmanned plane driving arrangement 8, described magnetic disk memory 5, described user input device 2 and described disk read-write interface 4 can be arranged in the front end panel board of unmanned plane, and described pressure-altitude sensor 9, described near infrared sensor 11, described wireless communication interface 1 and described picture pick-up device 13 can be arranged on the fuselage of unmanned plane; Described near infrared sensor 11, is greener based on green vegetation, stronger to the reflection potential of near infrared light, carries out the detection to the vegetation index in described remote measurement region.
In addition, vegetation index, is the index that can reflect vegetation growth state.Plant leaf surface has very strong absorption characteristic in visible red optical band, at near-infrared band, has very strong reflection characteristic, and this is the physical basis of remote sensing of vegetation monitoring, and he can identify vegetation and water body preferably to Soil Background sensitive.
Vegetation index increases rapidly with the increase of biomass.Vegetation in, during low cover degree, this index increases rapidly with the increase of coverage, after reaching certain coverage, increases slowly, so be applicable to vegetation early, mid-term growth phase dynamic monitoring.The combination of blue light, ruddiness and near infrared channels can be eliminated the interference of gasoloid to vegetation index in atmosphere greatly, and the Chinese People's Anti-Japanese Military and Political College's gas vegetation index forming can improve the monitoring of vegetation growing way and agricultural output assessment precision greatly.
Gray-scale value, refers to the color depth of black white image mid point, scope generally from 0 to 255, and white is 255, black is 0, therefore black and white picture also claims gray level image, in medical science, field of image recognition, has purposes very widely.So-called gray-scale value refers to shade degree.Grey level histogram refers in a width digital picture, and corresponding each gray-scale value counts the pixel count with this gray-scale value.To black white image, rgb value is all equal, is called gray-scale value, and each pixel has a gray-scale value.For the gray level image of 8, its gray-scale value scope is 0～255.
Gray scale also can be thought brightness, is exactly briefly the depth degree of color.In fact in daily life, by the combination of the three primary colors color depth, can form various color.The gray scale number that product can represent is more, also just means that the color representation power of this product is abundanter, can realize stronger gradation.16 grades of gray scales of three primary colors for example, the color relation that can show is 16 * 16 * 16=4096 look.
Adopt the field damage caused by a drought harvester being positioned on unmanned plane of the present invention,, monitoring underaction, accuracy susceptible technical matters high for existing damage caused by a drought harvester cost, by field damage caused by a drought harvester is arranged on unmanned plane, use the controllability of unmanned plane, the feature of low-latitude flying, can appear at the region that any supervision department need to monitor, carry out in real time, accurately, damage caused by a drought data acquisition flexibly, for the department of taking precautions against drought provides more reliable monitor data.
Be understandable that, although the present invention with preferred embodiment disclosure as above, yet above-described embodiment is not in order to limit the present invention.For any those of ordinary skill in the art, do not departing from technical solution of the present invention scope situation, all can utilize the technology contents of above-mentioned announcement to make many possible changes and modification to technical solution of the present invention, or be revised as the equivalent embodiment of equivalent variations.Therefore, every content that does not depart from technical solution of the present invention,, all still belongs in the scope of technical solution of the present invention protection any simple modification made for any of the above embodiments, equivalent variations and modification according to technical spirit of the present invention.
Claims (7)
1. the field damage caused by a drought harvester being positioned on unmanned plane, it is characterized in that, described harvester comprises magnetic disk memory, wireless communication interface, unmanned plane driving arrangement, picture pick-up device, image processing equipment and single-chip microcomputer, the control signal that described wireless communication interface sends for receiving ground damage caused by a drought monitor supervision platform, described single-chip microcomputer is resolved described control signal, the target area gathering to obtain damage caused by a drought, described single-chip microcomputer connects described unmanned plane driving arrangement to drive the described unmanned plane described target area of flying to, described picture pick-up device sends to described image processing equipment by the described target area image collecting and carries out image processing, described single-chip microcomputer is determined damage caused by a drought simulation drawing according to processing result image, described magnetic disk memory connects described single-chip microcomputer to store described damage caused by a drought simulation drawing.
2. the field damage caused by a drought harvester being positioned on unmanned plane as claimed in claim 1, is characterized in that, described harvester also comprises:
User input device, be used for according to user's input, determine the partition mode of field image, field upper limit gray threshold, field lower limit gray threshold, first total gray threshold, second total gray threshold and the 3rd total gray threshold, second total gray threshold is greater than first total gray threshold and is less than the 3rd total gray threshold;
Random access memory, connects described user input device, for storing described partition mode, described field upper limit gray threshold, described field lower limit gray threshold, described first total gray threshold, described second total gray threshold and the described the 3rd total gray threshold;
GPS positioning equipment, connects GPS navigation satellite, for receiving the real-time GPS data of unmanned plane position;
Pressure-altitude sensor, for according near air pressure change unmanned plane, detects the real-time height of unmanned plane position;
Described image processing equipment by gray-scale value in described target area image the pixel between described field upper limit gray threshold and described field lower limit gray threshold identify and form field image, according to described partition mode, described field image is divided into a plurality of fields subimage, the pixel count of each field subimage is identical, the grey scale pixel value of each field subimage of accumulative total, to obtain total gray-scale value, is exported the position data of each field subimage in described field image simultaneously;
Near infrared sensor, connects described image processing equipment, usings the subregion at field image place described in described target area as remote measurement region, and the reflection potential based on green vegetation near infrared light, detects the vegetation index in described remote measurement region;
Described magnetic disk memory is used for storing described damage caused by a drought simulation drawing and described vegetation index, also for return to damage caused by a drought memory command to described single-chip microcomputer after the described damage caused by a drought simulation drawing of storage and described vegetation index;
Disk read-write interface, connects described magnetic disk memory, for when unmanned plane makes a return voyage, reads described damage caused by a drought simulation drawing and the described vegetation index in described magnetic disk memory, stored;
Described single-chip microcomputer connects described random access memory, described GPS positioning equipment, described pressure-altitude sensor, described image processing equipment, described near infrared sensor, described wireless communication interface, described unmanned plane driving arrangement, described picture pick-up device and described magnetic disk memory, described control signal is resolved to obtain to target gps data and the object height of described target area, and control described unmanned plane driving arrangement to drive the described unmanned plane described target area of flying to, when in described real-time GPS data, and described real-time height consistent with described target gps data is consistent with described object height, start damage caused by a drought drainage pattern,
Wherein, in described damage caused by a drought drainage pattern, described single-chip microcomputer starts described picture pick-up device, described image processing equipment and described near infrared sensor, receive total gray-scale value and the position data of each field subimage of described image processing equipment transmission, total gray-scale value based on each field subimage and position data form the damage caused by a drought simulation drawing corresponding with described field image, in described damage caused by a drought simulation drawing, according to total gray-scale value of each field subimage, with employing different colours, represent the damage caused by a drought of each field subimage, when total gray-scale value of field subimage is between 0 and described first total gray threshold, adopt green to represent field subimage, when total gray-scale value of field subimage is between described first total gray threshold and described second total gray threshold, adopt yellow to represent field subimage, when total gray-scale value of field subimage is between described second total gray threshold and the described the 3rd total gray threshold, adopt the orange field subimage that represents, when total gray-scale value of field subimage is between the described the 3rd total gray threshold and 255, adopt redness to represent field subimage, described single-chip microcomputer receives the vegetation index that described near infrared sensor sends simultaneously,
Wherein, described single-chip microcomputer is receiving described damage caused by a drought after memory command, by described wireless communication interface, to described ground damage caused by a drought monitor supervision platform, send and to have gathered order, so that described ground damage caused by a drought monitor supervision platform continues to transmit control signal to control the unmanned plane next target area continuation damage caused by a drought collection of flying to described wireless communication interface.
3. the field damage caused by a drought harvester being positioned on unmanned plane as claimed in claim 2, is characterized in that:
The data request signal that described wireless communication interface also sends for receiving described ground damage caused by a drought monitor supervision platform, with under the control of described single-chip microcomputer, described damage caused by a drought simulation drawing and described vegetation index are transmitted to described ground damage caused by a drought monitor supervision platform in real time by described wireless communication interface.
4. the field damage caused by a drought harvester being positioned on unmanned plane as claimed in claim 2, is characterized in that:
Described image processing equipment is the digital processing unit DSP of TMS6000 series.
5. the field damage caused by a drought harvester being positioned on unmanned plane as claimed in claim 2, is characterized in that:
Described single-chip microcomputer, described random access memory, described GPS positioning equipment, described image processing equipment, described unmanned plane driving arrangement, described magnetic disk memory, described user input device and described disk read-write interface are positioned at the front end panel board of unmanned plane.
6. the field damage caused by a drought harvester being positioned on unmanned plane as claimed in claim 2, is characterized in that:
Described pressure-altitude sensor, described near infrared sensor, described wireless communication interface and described picture pick-up device are positioned on the fuselage of unmanned plane.
7. the field damage caused by a drought harvester being positioned on unmanned plane as claimed in claim 2, is characterized in that:
Described near infrared sensor, is greener based on green vegetation, stronger to the reflection potential of near infrared light, carries out the detection to the vegetation index in described remote measurement region.
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| CN104849274A (en) * | 2015-04-18 | 2015-08-19 | 中国计量学院 | Real-time detection method for drought status in detected area based on miniature unmanned plane |
| CN105046909A (en) * | 2015-06-17 | 2015-11-11 | 中国计量学院 | Agricultural loss assessment assisting method based on small-sized unmanned aerial vehicle |
| CN105314100A (en) * | 2015-10-27 | 2016-02-10 | 重庆光煦科技有限公司 | Mountain forest operation unmanned aerial vehicle based on GPS |
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