CN207408986U - The early warning system of diseases and pests of agronomic crop - Google Patents
The early warning system of diseases and pests of agronomic crop Download PDFInfo
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- CN207408986U CN207408986U CN201720041138.5U CN201720041138U CN207408986U CN 207408986 U CN207408986 U CN 207408986U CN 201720041138 U CN201720041138 U CN 201720041138U CN 207408986 U CN207408986 U CN 207408986U
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Abstract
The utility model provides a kind of early warning system of diseases and pests of agronomic crop, including：Weather monitoring system for gathering the meteorological data monitored in each period in monitoring time in region, and calculates the average meteorological data in each period in monitoring region as the first meteorological data；Meteorological Services center, for providing the second meteorological data that region is monitored in monitoring time to data processing centre；Data processing centre, for according to the first meteorological data and/or the second meteorological data and the corresponding meteorological condition of Pest model pre-established, determining to monitor the prediction result of the pest and disease damage in region；Data display center, for showing prediction result.The early warning system of diseases and pests of agronomic crop provided by the utility model, realize the degree and progress of the pest and disease damage outburst of monitoring crops in real time, pest and disease damage is changed to rely mainly on prevention based on controlling by traditional, it realizes prevention in advance and administers diseases and pests of agronomic crop in time, so as to ensure the normal growth of crops.
Description
Technical field
The utility model is related to agricultural pest early warning field more particularly to a kind of early warning systems of diseases and pests of agronomic crop.
Background technology
Diseases and pests of agronomic crop directly affects the harvest yield of crops, so government gives crop pest control
Pay much attention to, farmer is more urgent to prevention and control of plant diseases, pest control demand, and therefore, crop pest control is of great significance.It will
Informationization technology is dissolved into traditional prevention and control of plant diseases, pest control work, ensures crop yield and production capacity, agricultural economy is promoted to send out forward
It transforms into as one of urgent problem to be solved in proportion of crop planting.
At present, traditional mode has no disease and pests harm to invade, it is necessary to manually arrive field test crop leaf or other disease locus
Phenomenon is contaminated, but pest and disease damage colonization status has once occurred, illustrates that pest and disease damage has begun to infect, then takes control measure,
Control effect is very poor, many pest and disease damages be all can anti-uncurable disease, miss optimal spraying time, cause not timely to farming
Object carries out dispenser, influences crop yield, a degree of loss is brought to farmer.
Utility model content
The utility model provides a kind of early warning system of diseases and pests of agronomic crop, infects agriculture to solve pest and disease damage in the prior art
The problem of control measure is just taken after crop, influences crop yield, the loss that can not be retrieved is caused to user.
The utility model provides a kind of early warning system of diseases and pests of agronomic crop, including：
Weather monitoring system, for gathering the meteorological data in each period in monitoring time in the monitoring region,
And calculate the average meteorological data in each period in the monitoring region；
The weather monitoring system is additionally operable to make the average meteorological data in each period in the monitoring region
The data processing centre is sent to for the first meteorological data；
Meteorological Services center, for providing the of the monitoring region in the monitoring time to the data processing centre
Two meteorological datas；
Data processing centre, for building according to first meteorological data and/or second meteorological data and in advance
The corresponding meteorological condition of vertical Pest model determines the prediction result of the pest and disease damage in the monitoring region；
The data processing centre is additionally operable to, when pest and disease damage occurs for the prediction result instruction monitoring region, carry
Show that region is monitored described in user occurs pest and disease damage, and the prediction result is sent to data display center；
The data display center, for showing the prediction result.
Further, the data display center is specifically used for：By the region of the pest and disease damage in the monitoring region and sternly
Weight degree is shown on map respectively.
Further, above system further includes：
System Control Center, for the weather monitoring system, the Meteorological Services center, the data processing centre
It is monitored and manages with the data display center.
Further, first meteorological data and second meteorological data include the temperature in the monitoring region
Degree, humidity, rainfall, wind speed and soil parameters.
Further, the weather monitoring system includes temperature sensor, humidity sensor, rainfall gauge, air velocity transducer
With soil testing instrument.
Optionally, the data processing centre uses Hadoop framework.
The early warning system of diseases and pests of agronomic crop provided by the utility model by pre-establishing Pest model, and passes through
Weather monitoring system obtains the first meteorological data in monitoring region, and second in monitoring region is obtained by Meteorological Services center
Meteorological data, then by data processing centre according to the first meteorological data and/or the second meteorological data and the disease pre-established
The corresponding meteorological condition of insect pest model determines the prediction result of the pest and disease damage in the monitoring region, realizes monitoring farming in real time
The degree and progress of the pest and disease damage outburst of object, it is no longer necessary to the pest and disease damage infection of field test crops is manually arrived, by disease
Insect pest is changed to rely mainly on prevention based on controlling by traditional, is realized prevention in advance and is administered diseases and pests of agronomic crop in time, so as to ensure
The normal growths of crops.
Description of the drawings
Fig. 1 is the structure diagram of the early warning system embodiment one of the utility model diseases and pests of agronomic crop；
Fig. 2 is the structure diagram of the early warning system embodiment two of the utility model diseases and pests of agronomic crop；
Fig. 3 is the structure diagram of the early warning system embodiment three of the utility model diseases and pests of agronomic crop.
Specific embodiment
Fig. 1 is the structure diagram of the early warning system embodiment one of the utility model diseases and pests of agronomic crop, as shown in Figure 1,
The system of the present embodiment includes：Weather monitoring system 11, Meteorological Services center 12, data processing centre 13 and data exhibition centre
14。
Weather monitoring system 11 is used to gather the meteorological data in monitoring region in each period in monitoring time, and counts
Calculate the average meteorological data in monitoring region in each period；
Weather monitoring system 11 is additionally operable to using the average meteorological data in each period in the monitoring region as the first gas
Image data is sent to data processing centre 13；
Meteorological Services center 12, for providing the second meteorological number that region is monitored in monitoring time to data processing centre 13
According to；
Data processing centre 13, for according to the first meteorological data and/or the second meteorological data and the disease pre-established
The corresponding meteorological condition of insect pest model determines the prediction result of the pest and disease damage in the monitoring region；
Data processing centre 13 is additionally operable to, when the prediction result indicates that pest and disease damage occurs for the monitoring region, prompt user
Pest and disease damage occurs for the monitoring region, and prediction result is sent to data display center 14；
Data display center 14, for showing prediction result.
Wherein, monitoring time can be pre-set, and monitoring time can be several hours, one day or one week etc., this reality
Example is applied to be limited not to this.The monitoring time is divided into multiple periods, such as when monitoring time is one, the time
When Duan Weiyi is small, then weather monitoring system 11 obtains the meteorological data in each hour in monitoring region, the monitoring section in one day
Domain refers to the field of crop growth.
In the present embodiment, weather monitoring system 11 obtain meteorological data include the monitoring region in temperature, humidity, rain
Amount, wind speed and soil parameters.Weather monitoring system 11 specifically includes temperature sensor, humidity sensor, rainfall gauge, wind speed sensing
Device and soil testing instrument etc., temperature sensor, humidity sensor, rainfall gauge, air velocity transducer and soil testing instrument are all mounted on
It monitors in region.Temperature sensor is for gathering the temperature in monitoring region, and humidity sensor is in acquisition monitoring region
Humidity, rainfall gauge is for gathering the rainfall in monitoring region, and air velocity transducer for gathering the wind speed in monitoring region, survey by soil
Instrument is tried for gathering the soil parameters in monitoring region, can specifically detect the samples such as soil, plant, chemical fertilizer, bio-feritlizer
Available nitrogen, rapid available phosphorus, effective potassium in product, the full nitrogen in plant, full phosphorus, full potassium, the content of organic matter, soil acidity or alkalinity and soil
Salt content etc..
Weather monitoring system 11 can be calculated further after the meteorological data monitored in each period in region is collected
Average meteorological data in each period in monitoring region, and using the average meteorological data monitored in each period in region as
First meteorological data is sent to data processing centre 13.It, can be to avoid existing by calculating the average meteorological data in each period
Have in technology every a period acquisition once so that the problem of meteorological data collected is abnormal data.
Meteorological Services center 12 is especially by the professional gas for obtaining National Meteorological Bureau's public weather services center facing agricultural
Image data as the second meteorological data, second meteorological data include temperature in the monitoring region, humidity, rainfall, wind speed and
Soil parameters.
In the present embodiment, Hadoop framework may be employed in data processing centre 13, but is not limited to Hadoop framework, Hadoop
There are two main components for framework：Distributed file system and MapReduce engines, distributed file system store program,
MapReduce engines are performed for a frame of program.The place of data processing centre can be improved using Hadoop framework
Speed and fault-tolerant ability are managed, and flexibility is more preferable.
Data processing centre 13 can be according to the first meteorological data and/or the second meteorological data and the disease pre-established
The corresponding meteorological condition of insect pest model determines the prediction result of the pest and disease damage in monitoring region.Wherein, the disease pest pre-established
The corresponding meteorological condition of evil model includes the meteorological data of various Pest models outburst.The Pest model pre-established is
History pest and disease damage outburst data are studied, regular summary is carried out, utilizes temperature, humidity, rainfall, wind speed and soil parameters
Etc. meteorological datas and crop growth cycle and pest and disease damage occurrence condition necessarily relation, obtain pest and disease damage outburst rule and mould
Type, and to model repetition test and amendment, establish more accurately Pest model.Wherein, pest and disease damage history outburst data can be with
It is obtained from Minister Agriculture of China.
When data processing centre 13 determines to monitor the prediction result of the pest and disease damage in region according to the first meteorological data, tool
Body, the first meteorological data meteorological condition corresponding with the disease pest model pre-established is compared to obtain by data processing centre 13
The similarity of the two, then judge the similarity whether be more than preset first threshold, when the similarity be more than this first
It during threshold value, determines that pest and disease damage occurs for the monitoring region, when the similarity is less than or equal to the first threshold, determines the monitoring section
Pest and disease damage does not occur for domain.Data processing centre 13 can be determined using same procedure in monitoring region according to the second meteorological data
Pest and disease damage prediction result.
Generally, the acquisition range of the first meteorological data is smaller than the scope of the second meteorological data, the first meteorological data is more
Accurately, but when weather monitoring system 11 set it is improper or break down when it is possible that the first meteorological data collected has
By mistake, if data processing centre 13 still determines the prediction knot of the pest and disease damage in monitoring region using the first meteorological data measured at this time
Fruit can influence the accuracy of the prediction result of pest and disease damage.The second meteorological data obtained by Meteorological Services center 12 can be true
Protect the correctness for the first meteorological data that weather monitoring system 11 gathers.Select the first meteorological data or the second meteorological data can
To be set by the user, the first meteorological data of default choice when not setting.
When data processing centre 13 determines according to the first meteorological data and the second meteorological data the pest and disease damage in monitoring region
Prediction result when, specifically, data processing centre 13 compares the first meteorological data and the second meteorological data, sentence respectively
Whether the difference of the parameters such as disconnected temperature, humidity, rainfall, wind speed and soil is more than preset second threshold, when a certain parameter
Difference be more than the second threshold when, determine the parameter use the second meteorological data value.After the value of all parameters determines, then
The prediction result of the pest and disease damage in monitoring region is determined using the above method.
Data processing centre 13 is after the prediction result of monitoring region pest and disease damage is determined, further, when the prediction result
When indicating that pest and disease damage occurs for the monitoring region, prompt the user monitoring region that pest and disease damage occurs, and prediction result is sent to number
According to exhibition centre 14.Specifically, the prediction result includes the outburst scope of pest and disease damage, outburst degree, outburst progress, prevention
The contents such as time, control method.It can be divided into that no disease and pests harm is infected, slightly infected, moderate is invaded according to the outburst degree of pest and disease damage
Dye and heavy infestation.When the outburst degree of pest and disease damage infects for no disease and pests harm, data processing centre 13 to user without sending
Prompting.The outburst progress of pest and disease damage includes the generation information for infecting the phase, wherein, generation information occurs for different crops
Different pest and disease damages is different.Such as " late blight of potato " gos and buy Chinese medicine for the first time, it is necessary to start the third generation in the phase of infecting
Prevention, and the third generation can not only pass through system background model meter by manually visually being differentiated and being judged for the first time
It calculates, can just draw the correct time of " late blight " generation, user decides whether to carry out the prevention of pest and disease damage according to generation information.
The mode that prediction result is sent to user can be short message prompt, voice prompt, webpage information prompting, cell phone customer
Client information is prompted or other setting means.The form of expression of prediction result can be a variety of performance shapes such as word, figure, list
Formula.The content that prediction result is sent to user includes outburst scope, outburst degree, outburst progress, prevention time, control method etc.
Content, in order to which user can timely carry out the prevention and control of plant diseases, pest control.
Prediction result is also sent to data display center 14 by data processing centre 13 while user is prompted.To make
User easily checks current meteorological data, optionally, what data processing centre 13 can monitor weather monitoring system 11
The second meteorological data that first meteorological data, Meteorological Services center 12 obtain is sent to data display center 14.
The early warning system of diseases and pests of agronomic crop provided in this embodiment by pre-establishing Pest model, and passes through gas
As the first meteorological data in monitoring system acquisition monitoring region, pass through Meteorological Services center and obtain the second gas monitored in region
Image data, then by data processing centre according to the first meteorological data and/or the second meteorological data and the disease pest pre-established
The corresponding meteorological condition of evil model determines the prediction result of the pest and disease damage in the monitoring region, realizes monitoring crops in real time
Pest and disease damage outburst degree and progress, it is no longer necessary to manually arrive field test crops pest and disease damage infection, by disease pest
Evil is changed to rely mainly on prevention based on controlling by traditional, is realized prevention in advance and is administered diseases and pests of agronomic crop in time, so as to ensure
The normal growth of crops.
Fig. 2 is the structure diagram of the early warning system embodiment two of the utility model diseases and pests of agronomic crop, as shown in Fig. 2,
The system of the present embodiment on the basis of embodiment one, further, further includes System Control Center 15, system control shown in Fig. 1
Center 15 processed be used for weather monitoring system 11, Meteorological Services center 12, data processing centre 13 and data exhibition centre 14 into
Row monitoring and management, it may be convenient to set and safeguard early warning system.
In the present embodiment, by System Control Center to weather monitoring system, Meteorological Services center, data processing centre and
Data display center is monitored and manages, and ensures that diseases and pests of agronomic crop early warning system works in normal state, and convenient pair
It is managed, and reduces the number for manually arriving work on the spot, has further ensured the normal growth of crops.
Fig. 3 is the structure diagram of the early warning system embodiment three of the utility model diseases and pests of agronomic crop, as shown in figure 3,
The system of the present embodiment is on the basis of embodiment illustrated in fig. 2 two, and further, weather monitoring system 11 includes temperature sensor
111st, humidity sensor 112, rainfall gauge 113, air velocity transducer 114 and soil testing instrument 115.Weather monitoring system 11 is gathering
After the meteorological data in region is monitored in each period, the average air in monitoring region in each period can be further calculated
Image data, and using the average meteorological data in region is monitored in each period Data processing is sent to as the first meteorological data
The heart 13.
Further, Meteorological Services center 12 is by obtaining the special of National Meteorological Bureau's public weather services center facing agricultural
For industry meteorological data as the second meteorological data, which includes temperature in the monitoring region, humidity, rainfall, wind
Speed and soil parameters.
Further, data processing centre 13 includes data warehouse 131 and distributed data computing engines 132.Wherein, number
According to warehouse 131 for storing the first meteorological data and the second meteorological data that collect, the disease pest that storage pre-establishes is additionally operable to
Evil model.Distributed data computing engines 132 are used for according to the first meteorological data and/or the second meteorological data and build in advance
The corresponding meteorological condition of vertical Pest model determines the prediction result of the pest and disease damage in monitoring region, takes distributed data meter
It calculates, the processing of large-scale data can be quickly finished, reduce and calculate the time, it more can the current growth shape of accurate representation crops
Condition carries out preventing and controlling, has further ensured the normal growth of crops in time.
Further, data display center 14 includes prediction result display module 141 and meteorological data display module 142,
Wherein, prediction result display module 141 is used to send the warning information of pest and disease damage to user, optionally, prediction result displaying mould
141 sending method of block can include short message, voice, mobile terminal APP and webpage, and the form of expression can include word, figure and row
Table, outburst scope, outburst degree, outburst progress, prevention time and control method can be included by sending content, in order to user's energy
It is enough timely to carry out the prevention and control of plant diseases, pest control.Meteorological data display module 142 facilitates user to inquire about, shows for showing weather information
Form can be but be not limited only to mobile terminal APP and webpage.
Further, System Control Center 15 includes device management module 151 and model management module 152, wherein, equipment
Management module 151 controls weather monitoring system 11, Meteorological Services center 12, data processing centre 13 and data display for managing
The number for manually arriving work on the spot with safeguards system normal operation, while is reduced in center 14.Model management module 152 is used to set
The growth period of crops is put, is predicted so that the pest and disease damage of the crops to different growing stages infects situation.
The early warning system of diseases and pests of agronomic crop provided in this embodiment is obtained by data acquisition platform in monitoring region
First meteorological data and the second meteorological data are simultaneously stored to data warehouse, then to the first meteorological data and/or the second meteorological number
According to this and the corresponding meteorological condition of the Pest model that pre-establishes carries out distributed data calculating, determines the monitoring region
The prediction result of pest and disease damage is simultaneously shown at data display center, and equipment management and model management are carried out by System Control Center, real
Showed it is real-time monitoring crops pest and disease damage outburst degree and progress, by pest and disease damage by it is traditional be changed to based on controlling to prevent for
It is main, it realizes prevention in advance and administers diseases and pests of agronomic crop in time, so as to ensure the normal growth of crops.
Finally it should be noted that：Various embodiments above is only to illustrate the technical solution of the utility model rather than it is limited
System；Although the utility model is described in detail with reference to foregoing embodiments, those of ordinary skill in the art should
Understand：It can still modify to the technical solution recorded in foregoing embodiments either to which part or whole
Technical characteristic carries out equivalent substitution；And these modifications or replacement, the essence of appropriate technical solution is not made to depart from this practicality newly
The scope of each embodiment technical solution of type.
Claims (6)
1. a kind of early warning system of diseases and pests of agronomic crop, which is characterized in that including：
Weather monitoring system for gathering the meteorological data in each period in monitoring time in the monitoring region, and is counted
Calculate the average meteorological data in the monitoring region in each period；
The weather monitoring system is additionally operable to using the average meteorological data in each period in the monitoring region as the
One meteorological data is sent to the data processing centre；
Meteorological Services center, for providing second gas in the monitoring region in the monitoring time to the data processing centre
Image data；
Data processing centre, for according to first meteorological data and/or second meteorological data and pre-establishing
The corresponding meteorological condition of Pest model determines the prediction result of the pest and disease damage in the monitoring region；
The data processing centre is additionally operable to, when pest and disease damage occurs for the prediction result instruction monitoring region, prompt to use
Region is monitored described in family, pest and disease damage occurs, and the prediction result is sent to data display center；
The data display center, for showing the prediction result.
2. system according to claim 1, which is characterized in that the data display center is specifically used for：
The region of pest and disease damage in the monitoring region and severity are shown on map respectively.
3. system according to claim 1 or 2, which is characterized in that further include：
System Control Center, for the weather monitoring system, the Meteorological Services center, the data processing centre and institute
Data display center is stated to be monitored and manage.
4. system according to claim 1 or 2, which is characterized in that first meteorological data and the second meteorological number
According to temperature, humidity, rainfall, wind speed and the soil parameters included in the monitoring region.
5. system according to claim 4, which is characterized in that the weather monitoring system includes temperature sensor, humidity
Sensor, rainfall gauge, air velocity transducer and soil testing instrument.
6. system according to claim 1, which is characterized in that the data processing centre uses Hadoop framework.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108304953A (en) * | 2017-01-13 | 2018-07-20 | 北京金禾天成科技有限公司 | The method for early warning and system of diseases and pests of agronomic crop |
| CN109429833A (en) * | 2018-11-01 | 2019-03-08 | 安徽易商数码科技有限公司 | Plant disease and insect pest management system |
| CN110751412A (en) * | 2019-10-28 | 2020-02-04 | 云南瀚哲科技有限公司 | Agricultural meteorological disaster early warning method and system |
| CN114067455A (en) * | 2021-11-15 | 2022-02-18 | 李政力 | Intelligent tour management method for urban landscaping |
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2017
- 2017-01-13 CN CN201720041138.5U patent/CN207408986U/en active Active
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108304953A (en) * | 2017-01-13 | 2018-07-20 | 北京金禾天成科技有限公司 | The method for early warning and system of diseases and pests of agronomic crop |
| CN109429833A (en) * | 2018-11-01 | 2019-03-08 | 安徽易商数码科技有限公司 | Plant disease and insect pest management system |
| CN110751412A (en) * | 2019-10-28 | 2020-02-04 | 云南瀚哲科技有限公司 | Agricultural meteorological disaster early warning method and system |
| CN114067455A (en) * | 2021-11-15 | 2022-02-18 | 李政力 | Intelligent tour management method for urban landscaping |
| CN114067455B (en) * | 2021-11-15 | 2023-08-29 | 李政力 | Intelligent pipe inspection method for urban landscaping |
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