CN106292489A - A kind of based on Internet of Things, cloud computing and the automatic monitoring and pre-alarming method of modern agriculture insect of big data - Google Patents
A kind of based on Internet of Things, cloud computing and the automatic monitoring and pre-alarming method of modern agriculture insect of big data Download PDFInfo
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- CN106292489A CN106292489A CN201610704768.6A CN201610704768A CN106292489A CN 106292489 A CN106292489 A CN 106292489A CN 201610704768 A CN201610704768 A CN 201610704768A CN 106292489 A CN106292489 A CN 106292489A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/048—Monitoring; Safety
Abstract
The invention discloses a kind of based on Internet of Things, cloud computing and the modern agriculture insect automatic monitoring and alarming system of big data, including Cloud Server, smart mobile phone and multiple trap lamp；Trap lamp includes rain-proof cover, LED lamp, connects worm device, double layer encryption high-voltage fence；Rain-proof cover is arranged at the top of LED lamp, connects worm device and is arranged at the lower section of LED lamp, and it is peripheral that double layer encryption high-voltage fence is arranged at LED lamp；Trap lamp also includes insect counting unit, fan, insect inoculation bag；Insect counting unit includes wireless communication module, GPS locating module, controller, constant-current source, AD conversion unit, N+1 tinsel, the resistance of N number of similar resistance；N≧4；Two ends after the resistant series of N number of similar resistance connect two outfans of constant-current source.The present invention just can precisely understand the situation of each agricultural pests by smart mobile phone.
Description
The application is filing date 2015-11-29, Application No. 201510869607.8, invention entitled based on Internet of Things
The divisional application of the patent application of the modern agriculture insect automatic monitoring and alarming system of net, cloud computing and big data.
Technical field
The present invention relates to a kind of agricultural pests early warning system.
Background technology
Modern agriculture is the combination of physical technique and agricultural production, be utilize have the electricity of biological effect, sound, light,
The physical agents such as magnetic, heat, core manipulate vegeto-animal living environment and growth promoter thereof, promote traditional agriculture progressively to break away from chemistry
The dependence of the chemicals such as pesticide, chemical fertilizer, antibiotic and the constraint of natural environment, finally obtain high-quality, high yield, nontoxic agriculture
The environment conditioning type agricultural of product.
And agricultural Internet of Things is usually and substantial amounts of sensor node constitutes monitoring network, believed by various sensor acquisition
Breath, to help peasant to pinpoint the problems in time, and accurately determines the position of generation problem, and so agricultural will be little by little from people
Centered by power, the production model that depends on isolated machinery turns to the production model centered by information and software, thus makes in a large number
With various automatizatioies, intellectuality, the production equipment of remotely control.
China is large agricultural country, and the sound development of agricultural concerns national roots.In recent years, carrying along with national life level
Height, consumer is more and more higher for the quality of agricultural product and the requirement of safety.In agricultural production process, Pest control is agriculture
The important factor in order of crop quality, therefore, it is achieved the accurately acquisition to insect identification and quantity information is insect pest forecast forecast
Primary work.Without correct sampling survey data, the Number dynamics of insect, the extent of injury of insect are impossible to
Predict accurately, more it cannot be guaranteed that the correct of Economic Threshold of Injurious Insect Control performs.
Traditional insect identification application main with counting artificial cognition method, field investigation method, lure collection method etc., artificial cognition with
Discrimination is low, count accuracy is poor, field owing to the factors such as field conditions is complicated, unstable seriously also exist for counting agricultural pests
The shortcomings such as task labor intensity is big, non real-time nature, the method can not meet the monitoring of current agricultural pests generation critical conditions
Requirement；Field investigation method is time-consuming, laborious, and the investigation of data, record, the link that reports many, the workload of monitoring personnel is big, main
The impact of sight factor is big, the poor in timeliness of market demand, affects the Accurate Prediction forecast of insect, it is impossible to meet and produce actual demand.
In order to solve insect identification, incremental data obtains time-consuming, the most laborious problem, and scientist constantly explores insect and automatically identifies and count
The new technique of number.Along with the development of computer technology, microelectric technique etc., insect automatically identifies and achieves the biggest with counting technology
Progress, current insect identifies automatically mainly acoustical signal, image technique, infrared sensor etc., these skills with counting technology
The development of art improves the efficiency that insect automatically identifies and counts, promote the enforcement of precision agriculture, reduces insect and causes harm and bring
Loss, reduces environmental pollution, improves integrated pest management level.But, although infrared counting method speed is fast, quilt can be recorded
The insect numbers of trapping, but more weak in pest species identification, and it is easily subject to other interference falling into thing.Image processing method
Method is different due to field trapping pests attitude, and there is difference between master sample, and morphological characteristic based on standard attitude is carried out
Classifier training, is easily caused grader generalization ability weak, and meanwhile, during actual Field Pests is traped automatically, insect is individual
Between can there is the phenomenons such as adhesion, be unfavorable for identification and the quantity statistics of insect.
In sum, we, in the urgent need to finding a kind of effective method automatically obtaining insect dynamic quantity, obtain evil
Worm body size, quantity, it is entrapped the multi-source informations such as moment, to reach the effect having complementary advantages, improves worm monitoring and prediction
Accuracy of the forecast and ageing, alleviates the labor intensity of basic unit plant protection personnel and improves efficiency.Guarantee to provide the user reliably
Evidence for prevention and cure, for precision agriculture enforcement provide technical support.
It is intended to automatically monitor agricultural pests situation based on technology of Internet of things by the present invention described above, and by each agriculture
The insect data that field gathers are analyzed comparing, and the most really realize the Aulomatizeted Detect of agricultural pests, the mesh of automatization's early warning
's.
Summary of the invention
It is an object of the invention to provide modern agriculture insects based on Internet of Things, cloud computing and big data automatically to monitor
Early warning system, it is achieved the real-time monitoring of agricultural pests dynamic quantity, then reminds agriculture according to the comparison of each agricultural pests quantity
Sprayed insecticide in the farmland that number of pest is serious by field director in time.
In order to reach object above, the technical solution used in the present invention is: based on Internet of Things, cloud computing and big data show
For agricultural pests automatic monitoring and alarming system, it is characterised in that include Cloud Server, smart mobile phone and multiple trap lamp；
Described trap lamp includes rain-proof cover, LED lamp, connects worm device, double layer encryption high-voltage fence；Rain-proof cover is arranged at
The top of LED lamp, connects worm device and is arranged at the lower section of LED lamp, and it is peripheral that double layer encryption high-voltage fence is arranged at LED lamp；
Described trap lamp also includes insect counting unit, fan, insect inoculation bag；
Described insect counting unit includes wireless communication module, GPS locating module, controller, constant-current source, analog digital conversion
Unit, N+1 tinsel, the resistance of N number of similar resistance；N≧4；
Two ends after the resistant series of N number of similar resistance connect two outfans of constant-current source；
The input of AD conversion unit connects two outfans of constant-current source；
Digital signal is input to controller by AD conversion unit；
Wireless communication module, GPS locating module are electrically connected with the controller respectively；
N+1 tinsel is the most arranged in parallel, and each one end wiry connects between two adjacent resistors respectively
Common node, adjacent wire is positioned at the two ends of same resistance；
Controller controls startup and the stopping of fan；
The described worm device that connects is funnel-form, and N+1 tinsel is horizontally placed at the lower port connecing worm device；
Arranging multiple fresh air inlet on the sidewall of the bottom connecing worm device, fan is arranged near described fresh air inlet；
Insect outlet, the position that described insect outlet is arranged are set on the sidewall of the bottom connecing worm device simultaneously
Corresponding with the position of described fresh air inlet；It is provided with insect inoculation bag in insect outlet；
Multiple trap lamps are respectively arranged at multiple farmland；
The controller of each trap lamp is by wireless communication module and Cloud Server communication；
Controller reads the data of GPS locating module, then by wireless communication module by the quantity of insect, the chi of insect
The positional information in very little data and farmland uploads to Cloud Server；
Described Cloud Server and smart mobile phone communication.
Further, described controller uses high pass valiant imperial 820 to realize.
Further, described fan uses the voltage-controlled mini-fan of 5V.
Further, described constant-current source output electric current is 45mA, and N=10, the resistance of resistance is 10 ohm；Cloud Server is adopted
Using Ali's Cloud Server, smart mobile phone uses iPhone6s；Wireless communication module uses 3G wireless communication module.
A kind of based on Internet of Things, cloud computing and the automatic monitoring and pre-alarming method of modern agriculture insect of big data, its feature exists
In, including Cloud Server, smart mobile phone and multiple trap lamp；
Described trap lamp includes rain-proof cover, LED lamp, connects worm device, double layer encryption high-voltage fence；Rain-proof cover is arranged at
The top of LED lamp, connects worm device and is arranged at the lower section of LED lamp, and it is peripheral that double layer encryption high-voltage fence is arranged at LED lamp；
Described trap lamp also includes insect counting unit, fan, insect inoculation bag；Described insect counting unit includes wireless
Communication module, GPS locating module, controller, constant-current source, AD conversion unit, N+1 tinsel, the electricity of N number of similar resistance
Resistance；N≧4；Two ends after the resistant series of N number of similar resistance connect two outfans of constant-current source；AD conversion unit defeated
Enter end and connect two outfans of constant-current source；Digital signal is input to controller by AD conversion unit；Wireless communication module,
GPS locating module is electrically connected with the controller respectively；
N+1 tinsel is the most arranged in parallel, and each one end wiry connects between two adjacent resistors respectively
Common node, adjacent wire is positioned at the two ends of same resistance；
Controller controls startup and the stopping of fan；
The described worm device that connects is funnel-form, and N+1 tinsel is horizontally placed at the lower port connecing worm device；
Arranging multiple fresh air inlet on the sidewall of the bottom connecing worm device, fan is arranged near described fresh air inlet；
Insect outlet, the position that described insect outlet is arranged are set on the sidewall of the bottom connecing worm device simultaneously
Corresponding with the position of described fresh air inlet；It is provided with insect inoculation bag in insect outlet；
If the distance between adjacent wire is d centimetre, constant-current source output electric current is I milliampere；The resistance of resistance is R Europe
Nurse, the physical length of insect is X centimetre；
If the output voltage in AD conversion unit a certain moment is U millivolt；
Then may determine that this moment falls length X >=(U/I*R) * d of the insect on tinsel；
If voltage U < the I*R*N millivolt of AD conversion unit output, then the variable of controller control statistics insect adds 1,
Otherwise, the variable of statistics insect is not added with 1；
Multiple trap lamps are respectively arranged at multiple farmland；
The controller of each trap lamp is by wireless communication module and Cloud Server communication；
Controller reads the data of GPS locating module, then by wireless communication module by the quantity of insect, the chi of insect
The positional information in very little data and farmland uploads to Cloud Server；
Described Cloud Server and smart mobile phone communication.
Compared with prior art, the invention has the beneficial effects as follows: first, the present invention can be with the accurate calculation unit interval
The insect number of interior trapping, then compares the number of pest of trapping in each farmland unit interval, reminds farmland in time
Director sprays insecticide；Second, the present invention can substantially add up the build of insect and big insect in the unit interval, little insect
Ratio quantity, for farmland spray insecticide use dosage provide sufficient data support；3rd, the present invention is based on Internet of Things skill
Art, employing Cloud Server, be truly realized the real-time monitoring of agricultural pests dynamic quantity, compared for insect by data analysis
Preventing and treating in time provides feasible method.
Accompanying drawing explanation
Fig. 1 is the structural representation of trap lamp in the present invention；
Fig. 2 is the principle schematic of insect counting unit；
Fig. 3 is to connect the position relationship schematic diagram between worm device and insect counting unit.
Fig. 4 is the system principle block diagram of the present invention.
1 is rain-proof cover；2 is LED lamp；3 is to connect worm device；5 is the tinsel of insect counting unit intermediate reach arrangement；
6 is insect inoculation bag.
Detailed description of the invention
Below in conjunction with the accompanying drawings, the invention will be further described, but it is not represented as unique embodiment of the present invention.
Embodiment: based on Internet of Things, cloud computing and the modern agriculture insect automatic monitoring and alarming system of big data, including cloud
Server, smart mobile phone and 20 trap lamps；Trap lamp includes rain-proof cover, LED lamp, connects worm device, double layer encryption high-tension electricity
Net；Rain-proof cover is arranged at the top of LED lamp, connects worm device and is arranged at the lower section of LED lamp, and double layer encryption high-voltage fence is arranged
Peripheral in LED lamp；Described trap lamp also includes insect counting unit, fan, insect inoculation bag；Insect counting unit includes wireless
Communication module, GPS locating module, controller, constant-current source, AD conversion unit, 11 tinsels, the electricity of 10 similar resistance
Resistance；Two ends after the resistant series of 10 similar resistance connect two outfans of constant-current source；The input of AD conversion unit
Connect two outfans of constant-current source；Digital signal is input to controller by AD conversion unit；Wireless communication module, GPS are fixed
Position module is electrically connected with the controller respectively；11 tinsels are the most arranged in parallel, and each one end wiry connects two respectively
Common node between individual adjacent resistor, adjacent wire is positioned at the two ends of same resistance；Controller controls the startup of fan
And stopping；Connecing worm device is funnel-form, and 11 tinsels are horizontally placed at the lower port connecing worm device；
Arranging multiple fresh air inlet on the sidewall of the bottom connecing worm device, fan is arranged near described fresh air inlet；Connect
Arranging insect outlet on the sidewall of the bottom of worm device, the position that described insect outlet is arranged is entered with described simultaneously
The position of air holes is corresponding；It is provided with insect inoculation bag in insect outlet；
If the distance between adjacent wire is 3 centimetres, constant-current source output electric current is 45 milliamperes；The resistance of resistance is 10 Europe
Nurse, the physical length of insect is X centimetre；
If the output voltage in AD conversion unit a certain moment is 0.9V；So may determine that this moment falls tinsel
On length X >=(0.9*1000/45*10) * 3 of insect；
The controller of each trap lamp is by wireless communication module and Cloud Server communication；Controller reads GPS location
The data of module, then by wireless communication module by the quantity of insect, the sized data of insect and the positional information in farmland
Upload to Cloud Server；Cloud Server and smart mobile phone communication.
Wherein, described controller uses high pass valiant imperial 820 to realize；Fan uses the voltage-controlled mini-fan of 5V；Institute
The constant-current source output electric current stated is 45mA, and the resistance of resistance is 10 ohm；Cloud Server uses Ali's Cloud Server, smart mobile phone
Use iPhone6s；Wireless communication module uses 3G wireless communication module.
Described double layer encryption high-voltage fence, the electrical network gap that its outer layer electrical network uses interval sparse is arranged (such as
0.8cm), its internal layer electrical network uses the electrical network gap of interval comparatively dense to arrange (such as 0.4cm)；And double layer encryption electrical network uses
Are-tight Coating Materials, double male screw coilings realize, and sealike colour 0.6mm, the parallel distance of inside and outside two-layer electrical network is 1cm.Lure worm
Lamp high voltage electric net uses double layer encryption electrical network, and insect is touched high-voltage fence by the attraction of insect attraction light source and is dead by electric shock；
Owing to insecticidal lamp high voltage electric net of the present invention uses inside and outside double-deck, outer layer is arranged sparse, and internal layer is arranged closely, though micro pest
The impairment of outer layer electrical network can be evaded, it is also difficult in the distance of 1cm, avoid the obstruction of internal layer electrical network continuously, therefore avoid by
In insect build small and from electrical network gap through the phenomenon that is not caught in.
Operation principle referring to-4 couples of present invention of Fig. 1 is described: once insect is fallen and understands phase above tinsel
Resistive short between adjacent two tinsels, owing to circuit uses the resistant series of constant-current source and similar resistance, so mould
The magnitude of voltage of number conversion unit input is linear change, can be held very much by the change of the output voltage of AD conversion unit
Easily calculate several resistance to be shorted, if non-synchronization has 3 resistance to be shorted, it can be determined that there are 3 insects；If
It is carved with 2 resistance time same to be shorted, it can be determined that be that an insect is simultaneously by 2 resistive short, it can be determined that this insect
Build relatively big, due to the distance between adjacent wire it is known that such as 3cm, may determine that this when a resistance is shorted
The build of insect is more than 3cm, if synchronization has two resistance to be shorted the build that may determine that this insect more than 6cm；Often
Certain interval of time (such as 2s), controller controls starting fan, is blown to inside insect inoculation bag by insect；According to testing warp in the past
Testing, the probability that two insects of synchronization drop on tinsel simultaneously is almost nil, and therefore insect can be carried out by the present invention
Precisely counting and the Statistic analysis to insect substantially body size.
Can be with the position in each farmland of precise positioning by GPS locating module, the number of pest letter that controller will detect
The more specific location information in breath and this farmland uploads to Cloud Server, and Cloud Server is relatively divided by each agricultural pests data
Analysis, can show which agricultural pests seriously needs to spray insecticide, and which agricultural pests is less, then analysis result is sent to intelligence
Can mobile phone.
Claims (4)
1. one kind based on Internet of Things, cloud computing and the automatic monitoring and pre-alarming method of modern agriculture insect of big data, it is characterised in that
Including Cloud Server, smart mobile phone and multiple trap lamp；
Described trap lamp includes rain-proof cover, LED lamp, connects worm device, double layer encryption high-voltage fence；Rain-proof cover is arranged at LED
The top of lamp body, connects worm device and is arranged at the lower section of LED lamp, and it is peripheral that double layer encryption high-voltage fence is arranged at LED lamp；
Described trap lamp also includes insect counting unit, fan, insect inoculation bag；Described insect counting unit includes radio communication
Module, GPS locating module, controller, constant-current source, AD conversion unit, N+1 tinsel, the resistance of N number of similar resistance；N≧
4；Two ends after the resistant series of N number of similar resistance connect two outfans of constant-current source；The input of AD conversion unit is even
Connect two outfans of constant-current source；Digital signal is input to controller by AD conversion unit；Wireless communication module, GPS position
Module is electrically connected with the controller respectively；
N+1 tinsel is the most arranged in parallel, and it is public that each one end wiry connects between two adjacent resistors respectively
Node, adjacent wire is positioned at the two ends of same resistance；
Controller controls startup and the stopping of fan；
The described worm device that connects is funnel-form, and N+1 tinsel is horizontally placed at the lower port connecing worm device；
Arranging multiple fresh air inlet on the sidewall of the bottom connecing worm device, fan is arranged near described fresh air inlet；
Insect outlet, the position of described insect outlet setting and institute are set on the sidewall of the bottom connecing worm device simultaneously
The position of the fresh air inlet stated is corresponding；It is provided with insect inoculation bag in insect outlet；
If the distance between adjacent wire is d centimetre, constant-current source output electric current is I milliampere；The resistance of resistance is R ohm, worm
The physical length of son is X centimetre；
If the output voltage in AD conversion unit a certain moment is U millivolt；
Then may determine that this moment falls length X >=(U/I*R) * d of the insect on tinsel；
If voltage U < the I*R*N millivolt of AD conversion unit output, then the variable of controller control statistics insect adds 1, otherwise,
The variable of statistics insect is not added with 1；
Multiple trap lamps are respectively arranged at multiple farmland；
The controller of each trap lamp is by wireless communication module and Cloud Server communication；
Controller reads the data of GPS locating module, then by wireless communication module by the quantity of insect, the size number of insect
According to this and the positional information in farmland uploads to Cloud Server；
Described Cloud Server and smart mobile phone communication.
The most according to claim 1 based on Internet of Things, cloud computing and the automatic monitoring and warning of modern agriculture insect of big data
System, it is characterised in that described controller uses high pass valiant imperial 820 to realize.
The most according to claim 1 based on Internet of Things, cloud computing and the automatic monitoring and warning of modern agriculture insect of big data
System, it is characterised in that described fan uses the voltage-controlled mini-fan of 5V.
The most according to claim 1 based on Internet of Things, cloud computing and the automatic monitoring and warning of modern agriculture insect of big data
System, it is characterised in that described constant-current source output electric current is 45mA, and N=10, the resistance of resistance is 10 ohm；Cloud Server
Using Ali's Cloud Server, smart mobile phone uses iPhone6s；Wireless communication module uses 3G wireless communication module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610704768.6A CN106292489A (en) | 2015-11-29 | 2015-11-29 | A kind of based on Internet of Things, cloud computing and the automatic monitoring and pre-alarming method of modern agriculture insect of big data |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610704768.6A CN106292489A (en) | 2015-11-29 | 2015-11-29 | A kind of based on Internet of Things, cloud computing and the automatic monitoring and pre-alarming method of modern agriculture insect of big data |
| CN201510869607.8A CN105425703A (en) | 2015-11-29 | 2015-11-29 | Modern agricultural automatic insect monitoring and early warning system based on internet of things, cloud computing, and big data |
Related Parent Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510869607.8A Division CN105425703A (en) | 2015-11-29 | 2015-11-29 | Modern agricultural automatic insect monitoring and early warning system based on internet of things, cloud computing, and big data |
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| Publication Number | Publication Date |
|---|---|
| CN106292489A true CN106292489A (en) | 2017-01-04 |
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ID=55503976
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610704768.6A Withdrawn CN106292489A (en) | 2015-11-29 | 2015-11-29 | A kind of based on Internet of Things, cloud computing and the automatic monitoring and pre-alarming method of modern agriculture insect of big data |
| CN201510869607.8A Withdrawn CN105425703A (en) | 2015-11-29 | 2015-11-29 | Modern agricultural automatic insect monitoring and early warning system based on internet of things, cloud computing, and big data |
Family Applications After (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510869607.8A Withdrawn CN105425703A (en) | 2015-11-29 | 2015-11-29 | Modern agricultural automatic insect monitoring and early warning system based on internet of things, cloud computing, and big data |
Country Status (1)
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| CN (2) | CN106292489A (en) |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105961353A (en) * | 2016-06-28 | 2016-09-28 | 济南祥辰科技有限公司 | Automatic phototactic insect adjustment system |
| CN106962307A (en) * | 2017-04-01 | 2017-07-21 | 成都理道科技有限公司 | Agricultural cultivation pest control system |
| CN107368883B (en) * | 2017-06-08 | 2023-07-28 | 新疆林业科学院现代林业研究所 | Automatic counting system for tree-climbing pests on trunk |
| CN109105351B (en) * | 2018-09-11 | 2021-08-06 | 卓栢有限公司 | Mosquito eradication system with data collection and analysis functions |
| CN111596313B (en) * | 2019-02-21 | 2022-05-10 | 深圳市玉龙环保产业有限公司 | Regional four-pest quantity detection system and application method |
-
2015
- 2015-11-29 CN CN201610704768.6A patent/CN106292489A/en not_active Withdrawn
- 2015-11-29 CN CN201510869607.8A patent/CN105425703A/en not_active Withdrawn
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| CN105425703A (en) | 2016-03-23 |
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Application publication date: 20170104 |