CN114136965A - Agricultural thing networking application service monitoring platform - Google Patents
Agricultural thing networking application service monitoring platform Download PDFInfo
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- 238000004458 analytical method Methods 0.000 claims abstract description 32
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- 230000003628 erosive effect Effects 0.000 claims abstract description 21
- 241000238631 Hexapoda Species 0.000 claims description 31
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- A—HUMAN NECESSITIES
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Abstract
The invention discloses an agricultural Internet of things application service monitoring platform which comprises a monitoring and recording module, a pest analysis module and an unmanned aerial vehicle control module, wherein the monitoring and recording module is used for monitoring the growth situation of crops, the pest analysis module is used for monitoring and analyzing the erosion degree of the crops by pests, the unmanned aerial vehicle control module is used for controlling the flight speed of an unmanned aerial vehicle when the unmanned aerial vehicle spreads pesticide liquid, the monitoring and recording module is electrically connected with the pest analysis module, the pest analysis module is electrically connected with the unmanned aerial vehicle control module, the monitoring and recording module comprises an information input module and a laser radar scanning unit, and the information input module is used for recording treatment information data of the crops in a region to be spread before the unmanned aerial vehicle takes off.
Description
Technical Field
The invention relates to the technical field of agricultural pest control, in particular to an agricultural Internet of things application service monitoring platform.
Background
The bean caterpillar is one of numerous crop pests, and is mainly eaten by soybean, locust leaf, honeysuckle and other plants. 1-2 instar larvae gnaw on the mesophyll of the leaves and leave a thin and transparent skin, so the peasant is called a skylight. The food intake of the larvae of more than 3 years old is obviously increased, the leaves are eaten into holes or nicks, and the leaves are eaten when the larvae are serious, and only veins and petioles are left, so that the growth and development of plants and the core wrapping are influenced. If the larvae are wrapped in the ball, the insects feed in the leaf ball, and excrement is also excreted to pollute the cabbage heart, so that the commodity value of the vegetable plant is reduced.
With the development of agricultural modernization, the prevention and control of the lima bean caterpillar obtains great effect. The work of killing insects and controlling pests can be completed by spraying pesticides on the unmanned aerial vehicle, and the control efficiency of the lima bean caterpillar is greatly improved. However, in the pesticide spraying process of the existing unmanned aerial vehicle, the density of the pesticide to be sprayed on the whole piece is judged by observing the severity of insect attack on local crops, and then the unmanned aerial vehicle is controlled to spray after the sowing speed and the flying speed are consistent. Therefore, when the subsequent unmanned aerial vehicle sprays other crops, part of the crops are subjected to a lighter insect pest condition to waste pesticide liquid, or part of the crops are subjected to a heavier insect pest condition to cause insufficient spraying density of the pesticide liquid. Therefore, an agricultural internet of things application service monitoring platform is needed in the spraying process of the unmanned aerial vehicle, the pest damage condition of crops can be monitored in real time, micro adjustment is carried out in the controllable range of the water density of the pesticide, and the effects of saving pesticide liquid and achieving good pest killing effect are achieved. Therefore, an agricultural internet of things application service monitoring platform with high design accuracy and strong practicability is necessary.
Disclosure of Invention
The invention aims to provide an agricultural Internet of things application service monitoring platform to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: the utility model provides an agricultural thing networking is applied service monitoring platform, this agricultural thing networking is applied service monitoring platform includes that the monitoring is typeeed module, insect pest analysis module and unmanned aerial vehicle control module, the module is used for monitoring the growth situation of crops to be typeeed in the monitoring, insect pest analysis module is used for monitoring analysis crops to receive the insect pest erosion degree, unmanned aerial vehicle control module is used for controlling the flying speed when unmanned aerial vehicle scatters pesticide liquid, the module is typeeed in the monitoring is connected with insect pest analysis module electricity, insect pest analysis module is connected with unmanned aerial vehicle control module electricity.
According to the technical scheme, the monitoring and inputting module comprises an information input module and a laser radar scanning unit, the information input module is used for inputting treatment information data of crops to be sown in the film area before the flying of the unmanned aerial vehicle, and the laser radar scanning unit is used for emitting diffused laser dot matrix weak light signals to the crops below the unmanned aerial vehicle in the flying process of the unmanned aerial vehicle.
According to the technical scheme, the pest analysis module comprises a feature extraction module, a scanning signal calculation module and a logic judgment module, the feature extraction module is electrically connected with the laser radar scanning unit, the feature extraction module is used for extracting the feedback features of the current laser radar scanning unit after scanning in real time, the scanning signal calculation module is electrically connected with the feature extraction module, the scanning signal calculation module calculates the signal feedback value of the crops in the current scanning area in real time according to the feedback features, the logic judgment module is electrically connected with the scanning signal calculation module, and the logic judgment module is used for judging the pest erosion degree of the crops in the area below the current flight of the unmanned aerial vehicle.
According to the technical scheme, the unmanned aerial vehicle control module comprises an interval control module and a speed adjusting module, the interval control module is electrically connected with the information input module, the interval control module is used for controlling the upper limit and the lower limit of the flight speed of the unmanned aerial vehicle, and the speed adjusting module is used for adjusting the flight speed of the unmanned aerial vehicle according to the insect attack degree of crops in the current flight lower area.
According to the technical scheme, the monitoring operation method of the agricultural Internet of things application service monitoring platform comprises the following steps:
step S1: measuring the height of crops growing normally in a farmland by agricultural personnel, recording the measured height data and pesticide water spreading density intervals corresponding to different growth periods of the crops, and preparing to carry out bean worm killing treatment on the current crops;
step S2: controlling the unmanned aerial vehicle to take off, and after the unmanned aerial vehicle reaches the spreading height, starting to control the spray head to spray pesticide liquid on crops at a rated spraying speed;
step S3: when the unmanned aerial vehicle is ready to broadcast pesticide, the laser radar scanning unit monitors crops to be broadcast below the unmanned aerial vehicle;
step S4: the monitoring signals are transmitted to a pest analysis module through electric signals, the monitoring signals are sorted and analyzed, and the pest erosion degree of crops in a lower area of the unmanned aerial vehicle is judged;
step S5: unmanned aerial vehicle control module obtains the insect pest analysis result to automatic control unmanned aerial vehicle's flying speed makes unmanned aerial vehicle when the serious crops top of erosion by the insect pest flies, and flying speed is lower, and because of scattering pesticide water velocity unchangeable, reaches and scatters the density and uprise when scattering pesticide liquid to the serious crops that are eroded by the insect pest, otherwise the effect that becomes the step-down.
According to the above technical solution, the step S3 further includes the following steps:
step S31: the laser radar scanning unit transmits a diffused laser dot matrix weak light signal downwards by taking the position of the unmanned aerial vehicle as a center;
step S32: each laser dot matrix weakening optical signal increases with distance increase optical signal value weakening volume, and when the laser dot matrix weakening optical signal was thrown crops leaf or soil, the optical signal obtained the reflection, made unmanned aerial vehicle obtain partial weakening optical signal and then obtain the monitoring foundation.
According to the above technical solution, the step S4 further includes the following steps:
step S41: the characteristic extraction module captures a reflected weak light signal;
step S42: each reflected weak light signal is captured, amplified by a light sense amplifier arranged in the characteristic extraction module and converted into a digital electric signal;
step S43: the scanning signal calculation module obtains each beam of optical signal received by the characteristic extraction module and converts the optical signal into a digital electric signal value;
step S44: calculating the average value of the obtained and converted electric signals in real time through a formula, and feeding back to obtain a real-time average scanning signal value;
step S45: and judging the pest erosion degree of the crop to be sown at present according to the height of the crop at present and the scanning signal value obtained by monitoring.
According to the above technical solution, in step S44, the calculation formula of the average scanning signal value is:
wherein Q is an average scanning signal value p extracted by a characteristic extraction submodule after the laser radar scanning unit scansiAnd n is a numerical value of the reflected attenuated light signal captured by the characteristic extraction module.
According to the above technical solution, the step S45 further includes the following steps:
step S451: the logic judgment module acquires the current crop information input by the information input module to obtain a current crop height value h;
step S452: the real-time distance l from the scanning unit to the target object is obtained through the conversion of the proportional relation between the scanning signal value Q and the conversion coefficient k of the attenuation distance value, the flying height H is a fixed value when the unmanned aerial vehicle is scattered, and then the formula is used for: h isSweeping machineH-l, obtaining the height H of the real-time scanning target objectSweeping machineAnd then analysis department pest attack severity result, when crops are attacked by the pest and are corroded severity the bigger, crops leaf hole is more, and leaf cannibalism damaged area is bigger, causes more decay light signal direct projection on crops lower floor leaf even soil for average scanning signal value Q is great, and then scans target object's height hSweeping machineSmaller, otherwise, the height h of the scanned target objectSweeping machineIs large;
step S453: scanning the height h of a target object in real timeSweeping machineComparing with the height value h of the current crop;
step S454: when h is generatedSweeping machineWhen the height h is more than or equal to 20% h, judging that crops exist below the unmanned aerial vehicle, and outputting the height h of the scanned target objectSweeping machineTo the unmanned aerial vehicle control module, when hSweeping machine<When 20% h, judge the unmanned aerial vehicle below and plant clearance department for crops, output signal control unmanned aerial vehicle stops to spray pesticide liquid, effectively practices thrift pesticide liquid, promotes pesticide water utilization ratio.
According to the above technical solution, the step S5 further includes the following steps:
step S51: the interval control module acquires a flight speed interval [ b ] corresponding to the pesticide water spreading density interval of the current growth period of the crops, which is recorded by the information input modulemin,bmax]；
Step S52: the speed adjusting module obtains the interval variation delta b through subtraction operation, and the interval variation delta b is analyzed by the pest analyzing module to obtain the pest erosion severity, namely the height h of the scanning target objectSweeping machineBy the formula:
calculating to obtain a flight speed value V required by the unmanned aerial vehicle under the current insect attack severity;
step S53: the unmanned aerial vehicle control module controls the unmanned aerial vehicle to broadcast pesticide to crops below at the flying speed V.
Compared with the prior art, the invention has the following beneficial effects: according to the invention, by arranging the monitoring and recording module, the insect pest analysis module and the unmanned aerial vehicle control module, the average scanning signal value of crops below the unmanned aerial vehicle can be monitored in real time in the pesticide spraying process of the unmanned aerial vehicle, the height of a scanning target object is converted to reflect the degree of erosion of the crops by the insect pests, and the density of pesticide spraying is controlled by adjusting the flying speed of the unmanned aerial vehicle when the unmanned aerial vehicle sprays the pesticide, so that the targeted pesticide control effect is realized, and the pesticide is saved and the pesticide effect is good.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic diagram of the system module composition 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.
Referring to fig. 1, the present invention provides a technical solution: an agricultural Internet of things application service monitoring platform comprises a monitoring and recording module, a pest analysis module and an unmanned aerial vehicle control module, wherein the monitoring and recording module is used for monitoring the growth condition of crops, the pest analysis module is used for monitoring and analyzing the pest erosion degree of the crops, the unmanned aerial vehicle control module is used for controlling the flight speed of an unmanned aerial vehicle when the unmanned aerial vehicle spreads pesticide, the monitoring and recording module is electrically connected with the pest analysis module, and the pest analysis module is electrically connected with the unmanned aerial vehicle control module; through being provided with the monitoring and entering module, insect pest analysis module and unmanned aerial vehicle control module, can be at the average scanning signal value of unmanned aerial vehicle spraying pesticide water in-process real-time supervision unmanned aerial vehicle below crops to the height of department's scanning target object of conversion reflects crops and receives the insect pest erosion degree, the density of pesticide liquid is broadcast to the flying speed control when rethread adjustment unmanned aerial vehicle broadcasts pesticide liquid, realize the effect of pertinence insecticidal treatment, reach and save pesticide liquid while insecticidal effectual effect.
The monitoring and inputting module comprises an information input module and a laser radar scanning unit, the information input module is used for inputting treatment information data about to be broadcasted with crops in a film area before the flying of the unmanned aerial vehicle, and the laser radar scanning unit is used for transmitting diffused laser dot matrix weak light signals to the crops below the unmanned aerial vehicle in the flying process of the unmanned aerial vehicle.
The pest analysis module comprises a feature extraction module, a scanning signal calculation module and a logic judgment module, the feature extraction module is electrically connected with the laser radar scanning unit, the feature extraction module is used for extracting the feedback feature of the current laser radar scanning unit after scanning in real time, the scanning signal calculation module is electrically connected with the feature extraction module, the scanning signal calculation module calculates the signal feedback value of the crop in the current scanning area according to the feedback feature in real time, the logic judgment module is electrically connected with the scanning signal calculation module, and the logic judgment module is used for judging the pest erosion degree of the crop in the area below the current flight of the unmanned aerial vehicle.
The unmanned aerial vehicle control module comprises an interval control module and a speed adjusting module, the interval control module is electrically connected with the information input module, the interval control module is used for controlling the upper limit and the lower limit of the flight speed of the unmanned aerial vehicle, and the speed adjusting module is used for adjusting and controlling the flight speed of the unmanned aerial vehicle according to the insect pest attack degree of crops in the current flight lower area.
The monitoring operation method of the agricultural Internet of things application service monitoring platform comprises the following steps:
step S1: measuring the height of crops growing normally in a farmland by agricultural personnel, recording the measured height data and pesticide water spreading density intervals corresponding to different growth periods of the crops, and preparing to carry out bean worm killing treatment on the current crops;
step S2: controlling the unmanned aerial vehicle to take off, and after the unmanned aerial vehicle reaches the spreading height, starting to control the spray head to spray pesticide liquid on crops at a rated spraying speed;
step S3: when the unmanned aerial vehicle is ready to broadcast pesticide, the laser radar scanning unit monitors crops to be broadcast below the unmanned aerial vehicle;
step S4: the monitoring signals are transmitted to a pest analysis module through electric signals, the monitoring signals are sorted and analyzed, and the pest erosion degree of crops in a lower area of the unmanned aerial vehicle is judged;
step S5: unmanned aerial vehicle control module obtains the insect pest analysis result to automatic control unmanned aerial vehicle's flying speed makes unmanned aerial vehicle when the serious crops top of erosion by the insect pest flies, and flying speed is lower, and because of scattering pesticide water velocity unchangeable, reaches and scatters the density and uprise when scattering pesticide liquid to the serious crops that are eroded by the insect pest, otherwise the effect that becomes the step-down.
Step S3 further includes the steps of:
step S31: the laser radar scanning unit transmits a diffused laser dot matrix weak light signal downwards by taking the position of the unmanned aerial vehicle as a center;
step S32: each laser dot matrix weakening optical signal increases with distance increase optical signal value weakening volume, and when the laser dot matrix weakening optical signal was thrown crops leaf or soil, the optical signal obtained the reflection, made unmanned aerial vehicle obtain partial weakening optical signal and then obtain the monitoring foundation.
Step S4 further includes the steps of:
step S41: the characteristic extraction module captures a reflected weak light signal;
step S42: each reflected weak light signal is captured, amplified by a light sense amplifier arranged in the characteristic extraction module and converted into a digital electric signal;
step S43: the scanning signal calculation module obtains each beam of optical signal received by the characteristic extraction module and converts the optical signal into a digital electric signal value;
step S44: calculating the average value of the obtained and converted electric signals in real time through a formula, and feeding back to obtain a real-time average scanning signal value;
step S45: and judging the pest erosion degree of the crop to be sown at present according to the height of the crop at present and the scanning signal value obtained by monitoring.
In step S44, the calculation formula of the average scanning signal value is:
wherein Q is an average scanning signal value p extracted by a characteristic extraction submodule after the laser radar scanning unit scansiAnd n is a numerical value of the reflected attenuated light signal captured by the characteristic extraction module.
Step S45 further includes the steps of:
step S451: the logic judgment module acquires the current crop information input by the information input module to obtain a current crop height value h;
step S452: by scanning signal values Q and attenuation distance valuesThe direct ratio conversion of the conversion coefficient k obtains the real-time distance l from the real-time laser radar scanning unit to the target object, and the flying height H is a fixed value when the unmanned aerial vehicle is scattered, so that the real-time distance l is obtained through the formula: h isSweeping machineH-l, obtaining the height H of the real-time scanning target objectSweeping machineAnd then analysis department pest attack severity result, when crops are attacked by the pest and are corroded severity the bigger, crops leaf hole is more, and leaf cannibalism damaged area is bigger, causes more decay light signal direct projection on crops lower floor leaf even soil for average scanning signal value Q is great, and then scans target object's height hSweeping machineSmaller, otherwise, the height h of the scanned target objectSweeping machineIs large;
step S453: scanning the height h of a target object in real timeSweeping machineComparing with the height value h of the current crop;
step S454: when h is generatedSweeping machineWhen the height h is more than or equal to 20% h, judging that crops exist below the unmanned aerial vehicle, and outputting the height h of the scanned target objectSweeping machineTo the unmanned aerial vehicle control module, when hSweeping machine<When 20% h, judge the unmanned aerial vehicle below and plant clearance department for crops, output signal control unmanned aerial vehicle stops to spray pesticide liquid, effectively practices thrift pesticide liquid, promotes pesticide water utilization ratio.
Step S5 further includes the steps of:
step S51: the interval control module acquires a flight speed interval [ b ] corresponding to the pesticide water spreading density interval of the current growth period of the crops, which is recorded by the information input modulemin，bmax]；
Step S52: the speed adjusting module obtains the interval variation delta b through subtraction operation, and the interval variation delta b is analyzed by the pest analyzing module to obtain the pest erosion severity, namely the height h of the scanning target objectSweeping machineBy the formula:
calculating to obtain a flight speed value V required by the unmanned aerial vehicle under the current insect attack severity;
step S53: the unmanned aerial vehicle control module controls the unmanned aerial vehicle to broadcast pesticide to crops below at the flying speed V.
The first embodiment is as follows: unmanned aerial vehicle flies with flying height 200cm, and laser radar scanning unit monitors the crops that the below will be broadcast on unmanned aerial vehicle, obtains below crops average scanning signal value Q through calculating 1500, and conversion coefficient k is 0.1 to obtain unmanned aerial vehicle to below crops distance l is 150cm, then hSweeping machine200-150-50 cm, the current crop height recorded by the information input module is 100cm, and because 50 is more than 20% multiplied by 100, the logic judgment module outputs 50cm to the unmanned aerial vehicle control module, and the flight speed interval [10, 20 ] corresponding to the pesticide water spreading density interval of the previous crop growth period]And then by the formula
And finally, controlling the unmanned aerial vehicle to spread the pesticide liquid at the flying speed of 13.75 m/s.
Example two: unmanned aerial vehicle flies with flying height 200cm, and laser radar scanning unit monitors the crops that will be broadcast below on unmanned aerial vehicle, obtains below crops average scanning signal value Q through calculating 1900, and conversion coefficient k is 0.1 to obtain unmanned aerial vehicle and below crops distance l 190cm, then hSweeping machine200-.
Example three: unmanned aerial vehicle flies with flying height 200cm, and laser radar scanning unit monitors the crops that the below will be broadcast on unmanned aerial vehicle, obtains below crops average scanning signal value Q through calculating 1000, and conversion coefficient k is 0.1 to obtain unmanned aerial vehicle to below crops distance l is 100cm, then hSweeping machine200-100 cm, the current crop height recorded by the information input module is 100cm, and the logic judgment module outputs 100cm to the unmanned aerial vehicle control module because 100 is more than 20% multiplied by 100, and the pesticide water spreading density interval of the previous crop growth period is locatedCorresponding flight speed interval [10, 20 ]]And then by the formula
And finally, controlling the unmanned aerial vehicle to spread the pesticide liquid at the flying speed of 20 m/s.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The utility model provides an agricultural thing networking application service monitoring platform which characterized in that: this agricultural thing networking application service monitoring platform includes that the monitoring is typeeed module, insect pest analysis module and unmanned aerial vehicle control module, the monitoring is typeeed the module and is used for monitoring the growth situation of crops, insect pest analysis module is used for monitoring analysis crops to receive the insect pest erosion degree, flight speed when unmanned aerial vehicle control module is used for controlling unmanned aerial vehicle and scatters pesticide liquid, the monitoring is typeeed the module and is connected with insect pest analysis module electricity, insect pest analysis module is connected with unmanned aerial vehicle control module electricity.
2. The agricultural internet of things application service monitoring platform of claim 1, wherein: the monitoring and recording module comprises an information input module and a laser radar scanning unit, the information input module is used for recording treatment information data about to be broadcasted with crops in a film area before the flying of the unmanned aerial vehicle, and the laser radar scanning unit is used for transmitting diffused laser dot matrix weak light signals to the crops below the unmanned aerial vehicle in the flying process of the unmanned aerial vehicle.
3. The agricultural internet of things application service monitoring platform according to claim 2, wherein: the pest analysis module comprises a feature extraction module, a scanning signal calculation module and a logic judgment module, the feature extraction module is electrically connected with the laser radar scanning unit, the feature extraction module is used for extracting the feedback features of the current laser radar scanning unit after scanning in real time, the scanning signal calculation module is electrically connected with the feature extraction module, the scanning signal calculation module calculates the signal feedback value of the current scanning area crops according to the feedback features in real time, the logic judgment module is electrically connected with the scanning signal calculation module, and the logic judgment module is used for judging the pest erosion degree of the current flying area crops below the unmanned aerial vehicle.
4. The agricultural internet of things application service monitoring platform of claim 3, wherein: the unmanned aerial vehicle control module comprises an interval control module and a speed adjusting module, the interval control module is electrically connected with the information input module, the interval control module is used for controlling the upper limit and the lower limit of the flight speed of the unmanned aerial vehicle, and the speed adjusting module is used for adjusting and controlling the flight speed of the unmanned aerial vehicle according to the insect pest attack degree of crops in the current flight lower area.
5. The agricultural internet of things application service monitoring platform of claim 4, wherein: the monitoring operation method of the agricultural Internet of things application service monitoring platform comprises the following steps:
step S1: measuring the height of crops growing normally in a farmland by agricultural personnel, recording the measured height data and pesticide water spreading density intervals corresponding to different growth periods of the crops, and preparing to carry out bean worm killing treatment on the current crops;
step S2: controlling the unmanned aerial vehicle to take off, and after the unmanned aerial vehicle reaches the spreading height, starting to control the spray head to spray pesticide liquid on crops at a rated spraying speed;
step S3: when the unmanned aerial vehicle is ready to broadcast pesticide, the laser radar scanning unit monitors crops to be broadcast below the unmanned aerial vehicle;
step S4: the monitoring signals are transmitted to a pest analysis module through electric signals, the monitoring signals are sorted and analyzed, and the pest erosion degree of crops in a lower area of the unmanned aerial vehicle is judged;
step S5: unmanned aerial vehicle control module obtains the insect pest analysis result to automatic control unmanned aerial vehicle's flying speed makes unmanned aerial vehicle when the serious crops top of erosion by the insect pest flies, and flying speed is lower, and because of scattering pesticide water velocity unchangeable, reaches and scatters the density and uprise when scattering pesticide liquid to the serious crops that are eroded by the insect pest, otherwise the effect that becomes the step-down.
6. The agricultural internet of things application service monitoring platform of claim 5, wherein: the step S3 further includes the steps of:
step S31: the laser radar scanning unit transmits a diffused laser dot matrix weak light signal downwards by taking the position of the unmanned aerial vehicle as a center;
step S32: each laser dot matrix weakening optical signal increases with distance increase optical signal value weakening volume, and when the laser dot matrix weakening optical signal was thrown crops leaf or soil, the optical signal obtained the reflection, made unmanned aerial vehicle obtain partial weakening optical signal and then obtain the monitoring foundation.
7. The agricultural internet of things application service monitoring platform of claim 6, wherein: the step S4 further includes the steps of:
step S41: the characteristic extraction module captures a reflected weak light signal;
step S42: each reflected weak light signal is captured, amplified by a light sense amplifier arranged in the characteristic extraction module and converted into a digital electric signal;
step S43: the scanning signal calculation module obtains each beam of optical signal received by the characteristic extraction module and converts the optical signal into a digital electric signal value;
step S44: calculating the average value of the obtained and converted electric signals in real time through a formula, and feeding back to obtain a real-time average scanning signal value;
step S45: and judging the pest erosion degree of the crop to be sown at present according to the height of the crop at present and the scanning signal value obtained by monitoring.
8. The agricultural internet of things application service monitoring platform of claim 7, wherein: in step S44, the calculation formula of the average scanning signal value is:
wherein Q is an average scanning signal value p extracted by a characteristic extraction submodule after the laser radar scanning unit scansiAnd n is a numerical value of the reflected attenuated light signal captured by the characteristic extraction module.
9. The agricultural internet of things application service monitoring platform of claim 8, wherein: the step S45 further includes the steps of:
step S451: the logic judgment module acquires the current crop information input by the information input module to obtain a current crop height value h;
step S452: the real-time laser radar scanning list is obtained by the conversion of the proportional relation between the scanning signal value Q and the conversion coefficient k of the attenuation distance valueThe real-time distance l from the element scanning to the target object, and the flying height H when the unmanned aerial vehicle is scattered is a fixed value, and then the formula is adopted: h isSweeping machineH-l, obtaining the height H of the real-time scanning target objectSweeping machineAnd then analysis department pest attack severity result, when crops are attacked by the pest and are corroded severity the bigger, crops leaf hole is more, and leaf cannibalism damaged area is bigger, causes more decay light signal direct projection on crops lower floor leaf even soil for average scanning signal value Q is great, and then scans target object's height hSweeping machineSmaller, otherwise, the height h of the scanned target objectSweeping machineIs large;
step S453: scanning the height h of a target object in real timeSweeping machineComparing with the height value h of the current crop;
step S454: when h is generatedSweeping machineWhen the height h is more than or equal to 20% h, judging that crops exist below the unmanned aerial vehicle, and outputting the height h of the scanned target objectSweeping machineTo the unmanned aerial vehicle control module, when hSweeping machine<And when 20% of the hour is reached, judging that the lower part of the unmanned aerial vehicle is a crop planting gap, and outputting a signal to control the unmanned aerial vehicle to stop spraying the pesticide liquid.
10. The agricultural internet of things application service monitoring platform of claim 9, wherein: the step S5 further includes the steps of:
step S51: the interval control module acquires a flight speed interval [ b ] corresponding to the pesticide water spreading density interval of the current growth period of the crops, which is recorded by the information input modulemin,bmax]；
Step S52: the speed adjusting module obtains the interval variation delta b through subtraction operation, and the interval variation delta b is analyzed by the pest analyzing module to obtain the pest erosion severity, namely the height h of the scanning target objectSweeping machineBy the formula:
calculating to obtain a flight speed value V required by the unmanned aerial vehicle under the current insect attack severity;
step S53: the unmanned aerial vehicle control module controls the unmanned aerial vehicle to broadcast pesticide to crops below at the flying speed V.
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