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CN109548634B - An intelligent irrigation method based on LABVIEW - Google Patents

An intelligent irrigation method based on LABVIEW Download PDF

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Publication number
CN109548634B
CN109548634B CN201811650884.XA CN201811650884A CN109548634B CN 109548634 B CN109548634 B CN 109548634B CN 201811650884 A CN201811650884 A CN 201811650884A CN 109548634 B CN109548634 B CN 109548634B
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water evaporation
per
water
irrigation
temperature
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CN109548634A (en
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骆再飞
何金保
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Ningbo University of Technology
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    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
    • A01G25/00—Watering gardens, fields, sports grounds or the like
    • A01G25/16—Control of watering
    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
    • A01G25/00—Watering gardens, fields, sports grounds or the like
    • A01G25/16—Control of watering
    • A01G25/167—Control by humidity of the soil itself or of devices simulating soil or of the atmosphere; Soil humidity sensors

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  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Water Supply & Treatment (AREA)
  • Environmental Sciences (AREA)
  • Soil Sciences (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention provides an LABVIEW-based intelligent irrigation method, which adaptively adjusts the sampling frequency of a sensor and the estimated time of water evaporation capacity by utilizing weather conditions, establishes an evaporation capacity prediction model through atmospheric temperature and soil temperature, estimates the water evaporation capacity to obtain more accurate irrigation capacity, ensures proper water quantity of crops, saves water and effectively improves the operation efficiency of a system. The model parameters of the water evaporation amount are obtained by utilizing the historical experimental data fitting, and the method is accurate, simple to realize and good in operability. The invention is simple to realize and meets the requirement of practical application.

Description

一种基于LABVIEW的智能灌溉方法An intelligent irrigation method based on LABVIEW

技术领域technical field

本发明涉及一种基于LABVIEW的智能灌溉方法。The invention relates to an intelligent irrigation method based on LABVIEW.

背景技术Background technique

我国是农业生产大国，农业是国民经济的根本，农业具有对象多样、分散、地域广阔等特点，因此在大多数情况下农业数据信息的获取非常困难。随着物联网技术的快速发展，将其应用在农业系统中具有广阔的应用前景。通过农业物联网技术可以有效节约人力资源并降低人对农田环境的影响，获取精准的作物环境和作物信息。由于我国农业现代化起步较晚，造成我国的整体农业灌溉技术水平较低，环境监测条件较差，灌溉信息的采集、处理过程都很单一，迫切需要在技术上进一步改进和提高。因此，如何利用自动控制系统有效地灌溉，以提高灌溉控制精度，是目前我国亟需研究的重要课题之一，对提高我国农业现代化水平有着重大的意义。my country is a big country in agricultural production, and agriculture is the foundation of the national economy. Agriculture has the characteristics of diverse objects, scattered, and broad regions. Therefore, it is very difficult to obtain agricultural data and information in most cases. With the rapid development of the Internet of Things technology, its application in agricultural systems has broad application prospects. The agricultural Internet of Things technology can effectively save human resources and reduce the impact of people on the farmland environment, and obtain accurate crop environment and crop information. Due to the late start of my country's agricultural modernization, my country's overall agricultural irrigation technology level is relatively low, environmental monitoring conditions are poor, and the collection and processing of irrigation information is very simple. It is urgent to further improve and improve technology. Therefore, how to use the automatic control system to effectively irrigate to improve the precision of irrigation control is one of the important topics that needs to be studied urgently in our country, and it is of great significance to improve the level of agricultural modernization in our country.

发明内容SUMMARY OF THE INVENTION

鉴于现有技术的缺点，本发明的目的在于提供一种基于LABVIEW的智能灌溉方法，该方法步骤如下：In view of the shortcomings of the prior art, the object of the present invention is to provide a kind of intelligent irrigation method based on LABVIEW, and the method steps are as follows:

步骤一，通过温度传感器采集大气温度

Figure 100002_DEST_PATH_IMAGE002
、土壤温度
Figure 100002_DEST_PATH_IMAGE004
，采用LABVIEW软件和数据库技术实现数据存储和管理；Step 1: Collect atmospheric temperature through a temperature sensor
Figure 100002_DEST_PATH_IMAGE002
, soil temperature
Figure 100002_DEST_PATH_IMAGE004
, using LABVIEW software and database technology to achieve data storage and management;

步骤二，采用LABVIEW软件和网络爬虫技术，获取天气信息，自适应设置温度传感器每小时采样次数

Figure 100002_DEST_PATH_IMAGE006
和水分蒸发量的预估时间
Figure 100002_DEST_PATH_IMAGE008
；Step 2: Use LABVIEW software and web crawler technology to obtain weather information, and adaptively set the sampling times of the temperature sensor per hour
Figure 100002_DEST_PATH_IMAGE006
and estimated time of water evaporation
Figure 100002_DEST_PATH_IMAGE008
;

步骤三，建立大气温度

Figure 627819DEST_PATH_IMAGE002
、土壤温度
Figure 279380DEST_PATH_IMAGE004
与每亩地水分蒸发量
Figure 100002_DEST_PATH_IMAGE010
之间的模型，确定模型参数，预估将来时间
Figure 449331DEST_PATH_IMAGE008
内水分蒸发量，每亩地水分蒸发量
Figure 578961DEST_PATH_IMAGE010
的模型为：Step 3, establish the atmospheric temperature
Figure 627819DEST_PATH_IMAGE002
, soil temperature
Figure 279380DEST_PATH_IMAGE004
and water evaporation per mu
Figure 100002_DEST_PATH_IMAGE010
between models, determine model parameters, estimate future time
Figure 449331DEST_PATH_IMAGE008
Internal water evaporation, water evaporation per mu
Figure 578961DEST_PATH_IMAGE010
The model is:

Figure 100002_DEST_PATH_IMAGE012
Figure 100002_DEST_PATH_IMAGE012

其中，

Figure 100002_DEST_PATH_IMAGE014
为常数，通过实验数据，采用曲线拟合方法确定常数
Figure 361976DEST_PATH_IMAGE014
，即把大气温度
Figure 653280DEST_PATH_IMAGE002
、土壤温度
Figure 779368DEST_PATH_IMAGE004
与每亩地水分蒸发量的多组实验数据，代入每亩地水分蒸发量的模型，在坐标系中标注进行曲线拟合，得到常数
Figure 775006DEST_PATH_IMAGE014
，其中每亩地水分蒸发量由灌溉量和容水量变化的实验数据计算；in,
Figure 100002_DEST_PATH_IMAGE014
is a constant, and the constant is determined by curve fitting method through experimental data
Figure 361976DEST_PATH_IMAGE014
, the atmospheric temperature
Figure 653280DEST_PATH_IMAGE002
, soil temperature
Figure 779368DEST_PATH_IMAGE004
Substitute into the model of water evaporation per mu with multiple sets of experimental data of water evaporation per mu, and mark it in the coordinate system to perform curve fitting to obtain constants.
Figure 775006DEST_PATH_IMAGE014
, in which the evaporation of water per mu is calculated from the experimental data of changes in irrigation and water capacity;

步骤四，根据大气温度

Figure 178305DEST_PATH_IMAGE002
、土壤温度
Figure 469872DEST_PATH_IMAGE004
，计算每亩地水分蒸发量
Figure 83256DEST_PATH_IMAGE010
，然后计算时间
Figure 617005DEST_PATH_IMAGE008
内灌溉量
Figure 100002_DEST_PATH_IMAGE016
，控制阀门精确灌溉，灌溉量
Figure 468286DEST_PATH_IMAGE016
计算公式如下：Step 4, according to the atmospheric temperature
Figure 178305DEST_PATH_IMAGE002
, soil temperature
Figure 469872DEST_PATH_IMAGE004
, calculate the water evaporation per mu of land
Figure 83256DEST_PATH_IMAGE010
, then calculate the time
Figure 617005DEST_PATH_IMAGE008
Internal irrigation
Figure 100002_DEST_PATH_IMAGE016
, Control valve precise irrigation, irrigation amount
Figure 468286DEST_PATH_IMAGE016
Calculated as follows:

Figure 100002_DEST_PATH_IMAGE018
Figure 100002_DEST_PATH_IMAGE018

其中，

Figure 100002_DEST_PATH_IMAGE020
分别为灌溉面积和每亩地目标容水量。in,
Figure 100002_DEST_PATH_IMAGE020
are the irrigated area and the target water capacity per mu, respectively.

综上所述，本发明提出一种基于LABVIEW的智能灌溉方法，该方法通过天气情况自适应调整传感器采样频率和水分蒸发量的预估时间，有效提高系统运行效率。预测水分蒸发量既保证农作物适当的水量，又能节约用水。水分蒸发量的模型参数利用历史实验数据拟合得到，准确且实现简单，可操作性好。To sum up, the present invention proposes an intelligent irrigation method based on LABVIEW, which adaptively adjusts the sampling frequency of the sensor and the estimated time of water evaporation through weather conditions, thereby effectively improving the operating efficiency of the system. Predicting water evaporation not only ensures the proper amount of water for crops, but also saves water. The model parameters of water evaporation are obtained by fitting historical experimental data, which is accurate, simple to implement, and easy to operate.

附图说明Description of drawings

图1为本发明实施例的流程图。FIG. 1 is a flowchart of an embodiment of the present invention.

具体实施方式Detailed ways

以下通过特定的具体实例说明本发明的实施方式，本领域技术人员可由本说明书所揭露的内容轻易地实施。The following describes the embodiments of the present invention through specific specific examples, and those skilled in the art can easily implement the contents disclosed in this specification.

本发明的目的在于提供一种基于LABVIEW的智能灌溉方法，流程如图1所示，具体的步骤如下：The object of the present invention is to provide a kind of intelligent irrigation method based on LABVIEW, and the flow chart is as shown in Figure 1, and the concrete steps are as follows:

步骤一，通过温度传感器采集大气温度

Figure DEST_PATH_IMAGE022
、土壤温度
Figure DEST_PATH_IMAGE024
，采用LABVIEW软件和数据库技术实现数据存储和管理，具体操作方法如下：Step 1: Collect atmospheric temperature through a temperature sensor
Figure DEST_PATH_IMAGE022
, soil temperature
Figure DEST_PATH_IMAGE024
, using LABVIEW software and database technology to achieve data storage and management, the specific operation methods are as follows:

①在LABVIEW软件中，首先通过ADO Create.vi, 创建一个连接对象，然后利用ADOConnection Open.vi建立与数据库的连接；②利用ADO Recordset Create.vi创建一个记录对象，然后利用ADO Recordset Open.vi 打开对象,并同时利用SQL查询命令获得数据库表中的全部或部分记录；③通过功能选择按钮来选择控制对数据库查询、添加、删除、修改；④利用ADO Recordest Close.vi和ADO Recordest Connection.vi，关闭数据库。①In LABVIEW software, first create a connection object through ADO Create.vi, and then use ADOConnection Open.vi to establish a connection with the database; ②Use ADO Recordset Create.vi to create a record object, and then use ADO Recordset Open.vi to open object, and at the same time use SQL query commands to obtain all or part of the records in the database table; ③ select and control the database query, add, delete, and modify through the function selection button; ④ use ADO Recordest Close.vi and ADO Recordest Connection.vi, Close the database.

步骤二，采用LABVIEW软件和网络爬虫技术，获取天气信息，自适应设置温度传感器采样次数

Figure DEST_PATH_IMAGE026
和水分蒸发量的预估时间
Figure DEST_PATH_IMAGE028
。Labview的HTML对象库提供了大量的对象，这些对象和HTML标记相对应，借助ITHMLElement函数的“inner Text”属性将网页数据存储为字符串类型数据，获得网页数据。根据天气信息，自适应设置传感器每小时采样次数
Figure 209715DEST_PATH_IMAGE026
和水分蒸发量的预估时间
Figure 920182DEST_PATH_IMAGE028
。若天气为晴，设置水分蒸发量的预估时间
Figure 992043DEST_PATH_IMAGE028
为30分钟；若天气为阴，设置水分蒸发量的预估时间
Figure 494569DEST_PATH_IMAGE028
为60分钟；若天气为雨，设置水分蒸发量的预估时间
Figure 626473DEST_PATH_IMAGE028
为90分钟。若大气温度传感器采集的最新2次温度相差10度以上，设置传感器采样次数
Figure 824236DEST_PATH_IMAGE026
为3次/小时；若大气温度传感器采集的最新2次温度相差5-10度，设置传感器采样次数
Figure 266500DEST_PATH_IMAGE026
为2次/小时；若大气温度传感器采集的最新2次温度相差5度以下，设置传感器采样次数
Figure 561215DEST_PATH_IMAGE026
为1次/小时。Step 2: Use LABVIEW software and web crawler technology to obtain weather information and adaptively set the sampling times of the temperature sensor
Figure DEST_PATH_IMAGE026
and estimated time of water evaporation
Figure DEST_PATH_IMAGE028
. Labview's HTML object library provides a large number of objects, which correspond to HTML tags. With the help of the "inner Text" attribute of the ITHMLElement function, the web page data is stored as string type data to obtain web page data. According to the weather information, adaptively set the sampling times of the sensor per hour
Figure 209715DEST_PATH_IMAGE026
and estimated time of water evaporation
Figure 920182DEST_PATH_IMAGE028
. If the weather is sunny, set the estimated time for water evaporation
Figure 992043DEST_PATH_IMAGE028
is 30 minutes; if the weather is overcast, set the estimated time for water evaporation
Figure 494569DEST_PATH_IMAGE028
60 minutes; if the weather is rainy, set the estimated time for water evaporation
Figure 626473DEST_PATH_IMAGE028
for 90 minutes. If the difference between the latest two temperatures collected by the atmospheric temperature sensor is more than 10 degrees, set the number of sensor sampling
Figure 824236DEST_PATH_IMAGE026
It is 3 times/hour; if the difference between the latest 2 temperatures collected by the atmospheric temperature sensor is 5-10 degrees, set the sampling times of the sensor
Figure 266500DEST_PATH_IMAGE026
It is 2 times per hour; if the difference between the latest 2 temperatures collected by the atmospheric temperature sensor is less than 5 degrees, set the sampling times of the sensor
Figure 561215DEST_PATH_IMAGE026
1 time/hour.

步骤三，建立大气温度

Figure 67283DEST_PATH_IMAGE022
、土壤温度
Figure 611396DEST_PATH_IMAGE024
与每亩地水分蒸发量
Figure DEST_PATH_IMAGE030
之间的模型，确定模型参数，预估将来时间
Figure 25060DEST_PATH_IMAGE028
内水分蒸发量，每亩地水分蒸发量
Figure 675747DEST_PATH_IMAGE030
的模型为：Step 3, establish the atmospheric temperature
Figure 67283DEST_PATH_IMAGE022
, soil temperature
Figure 611396DEST_PATH_IMAGE024
and water evaporation per mu
Figure DEST_PATH_IMAGE030
between models, determine model parameters, estimate future time
Figure 25060DEST_PATH_IMAGE028
Internal water evaporation, water evaporation per mu
Figure 675747DEST_PATH_IMAGE030
The model is:

Figure 477349DEST_PATH_IMAGE012
Figure 477349DEST_PATH_IMAGE012

其中，

Figure 384126DEST_PATH_IMAGE014
为常数，通过实验数据拟合得到，具体方法如下：常数
Figure 601480DEST_PATH_IMAGE014
利用实验数据,采用曲线拟合方法确定，根据记录的实验数据，选取10组大气温度
Figure 667525DEST_PATH_IMAGE022
、土壤温度
Figure 515396DEST_PATH_IMAGE024
、灌溉量，其中灌溉量需要转换成水分蒸发量，水分蒸发量由灌溉量和容水量变化的实验数据计算。最后在坐标系中将10组数据标注进行曲线拟合，然后利用上述公式得到
Figure 532637DEST_PATH_IMAGE014
。in,
Figure 384126DEST_PATH_IMAGE014
is a constant, obtained by fitting the experimental data, the specific method is as follows: constant
Figure 601480DEST_PATH_IMAGE014
Using the experimental data, the curve fitting method is used to determine it. According to the recorded experimental data, 10 groups of atmospheric temperature are selected.
Figure 667525DEST_PATH_IMAGE022
, soil temperature
Figure 515396DEST_PATH_IMAGE024
, irrigation amount, in which the irrigation amount needs to be converted into water evaporation, and the water evaporation is calculated from the experimental data of the changes of irrigation amount and water capacity. Finally, 10 groups of data are marked in the coordinate system for curve fitting, and then the above formula is used to obtain
Figure 532637DEST_PATH_IMAGE014
.

步骤四，根据大气温度

Figure 553682DEST_PATH_IMAGE022
、土壤温度
Figure 84021DEST_PATH_IMAGE024
，计算每亩地水分蒸发量
Figure 227426DEST_PATH_IMAGE030
，然后计算时间
Figure 108795DEST_PATH_IMAGE028
内灌溉量
Figure 933531DEST_PATH_IMAGE016
，控制阀门精确灌溉，灌溉量
Figure 210054DEST_PATH_IMAGE016
计算公式如下：Step 4, according to the atmospheric temperature
Figure 553682DEST_PATH_IMAGE022
, soil temperature
Figure 84021DEST_PATH_IMAGE024
, calculate the water evaporation per mu of land
Figure 227426DEST_PATH_IMAGE030
, then calculate the time
Figure 108795DEST_PATH_IMAGE028
Internal irrigation
Figure 933531DEST_PATH_IMAGE016
, Control valve precise irrigation, irrigation amount
Figure 210054DEST_PATH_IMAGE016
Calculated as follows:

Figure 134148DEST_PATH_IMAGE018
Figure 134148DEST_PATH_IMAGE018

其中，

Figure 627446DEST_PATH_IMAGE020
分别为灌溉面积和每亩地目标容水量，面积单位为亩，注意每亩地目标容水量需要减掉已经有的水量。in,
Figure 627446DEST_PATH_IMAGE020
They are the irrigation area and the target water capacity per mu, and the unit of area is mu. Note that the target water capacity per mu needs to be subtracted from the existing water.

综上所述，本发明提出一种基于LABVIEW的智能灌溉方法，该方法通过天气情况自适应调整传感器采样频率和水分蒸发量的预估时间，有效提高系统运行效率。预测水分蒸发量既保证农作物适当的水量，又能节约用水。水分蒸发量的模型参数利用历史实验数据拟合得到，准确且实现简单，可操作性好。本发明有效克服了现有技术中的种种缺点而具高度产业利用价值。To sum up, the present invention proposes an intelligent irrigation method based on LABVIEW, which adaptively adjusts the sampling frequency of the sensor and the estimated time of water evaporation through weather conditions, thereby effectively improving the operating efficiency of the system. Predicting water evaporation not only ensures the proper amount of water for crops, but also saves water. The model parameters of water evaporation are obtained by fitting historical experimental data, which is accurate, simple to implement, and easy to operate. The invention effectively overcomes various shortcomings in the prior art and has high industrial utilization value.

Claims (1)

1.一种基于LABVIEW的智能灌溉方法，其特征在于：1. an intelligent irrigation method based on LABVIEW, is characterized in that: 步骤一，通过温度传感器采集大气温度
Figure DEST_PATH_IMAGE002
、土壤温度
Figure DEST_PATH_IMAGE004
，采用LABVIEW软件和数据库技术实现数据存储和管理；Step 1: Collect atmospheric temperature through a temperature sensor
Figure DEST_PATH_IMAGE002
, soil temperature
Figure DEST_PATH_IMAGE004
, using LABVIEW software and database technology to achieve data storage and management; 步骤二，采用LABVIEW软件和网络爬虫技术，获取天气信息，自适应设置温度传感器每小时采样次数
Figure DEST_PATH_IMAGE006
和水分蒸发量的预估时间
Figure DEST_PATH_IMAGE008
；Step 2: Use LABVIEW software and web crawler technology to obtain weather information, and adaptively set the sampling times of the temperature sensor per hour
Figure DEST_PATH_IMAGE006
and estimated time of water evaporation
Figure DEST_PATH_IMAGE008
; 步骤三，建立大气温度
Figure 660305DEST_PATH_IMAGE002
、土壤温度
Figure 108604DEST_PATH_IMAGE004
与每亩地水分蒸发量
Figure DEST_PATH_IMAGE010
之间的模型，确定模型参数，预估将来时间
Figure 685079DEST_PATH_IMAGE008
内水分蒸发量，每亩地水分蒸发量
Figure 906719DEST_PATH_IMAGE010
的模型为：Step 3, establish the atmospheric temperature
Figure 660305DEST_PATH_IMAGE002
, soil temperature
Figure 108604DEST_PATH_IMAGE004
and water evaporation per mu
Figure DEST_PATH_IMAGE010
between models, determine model parameters, estimate future time
Figure 685079DEST_PATH_IMAGE008
Internal water evaporation, water evaporation per mu
Figure 906719DEST_PATH_IMAGE010
The model is:
Figure DEST_PATH_IMAGE012
Figure DEST_PATH_IMAGE012
 其中，
Figure DEST_PATH_IMAGE014
为常数，通过实验数据，采用曲线拟合方法确定常数
Figure 580146DEST_PATH_IMAGE014
，即把大气温度
Figure 730505DEST_PATH_IMAGE002
、土壤温度
Figure 263117DEST_PATH_IMAGE004
与每亩地水分蒸发量的多组实验数据，代入每亩地水分蒸发量的模型，在坐标系中标注进行曲线拟合，得到常数
Figure 291378DEST_PATH_IMAGE014
，其中每亩地水分蒸发量由灌溉量和容水量变化的实验数据计算；in,
Figure DEST_PATH_IMAGE014
is a constant, which is determined by curve fitting method through experimental data
Figure 580146DEST_PATH_IMAGE014
, the atmospheric temperature
Figure 730505DEST_PATH_IMAGE002
, soil temperature
Figure 263117DEST_PATH_IMAGE004
Substitute into the model of water evaporation per mu with multiple sets of experimental data of water evaporation per mu, and mark it in the coordinate system to perform curve fitting to obtain constants.
Figure 291378DEST_PATH_IMAGE014
, in which the evaporation of water per mu is calculated from the experimental data of changes in irrigation and water capacity; 步骤四，根据大气温度
Figure 225836DEST_PATH_IMAGE002
、土壤温度
Figure 547096DEST_PATH_IMAGE004
，计算每亩地水分蒸发量
Figure 567005DEST_PATH_IMAGE010
，然后计算时间
Figure 835175DEST_PATH_IMAGE008
内灌溉量
Figure DEST_PATH_IMAGE016
，控制阀门精确灌溉，灌溉量
Figure 468149DEST_PATH_IMAGE016
计算公式如下：Step 4, according to the atmospheric temperature
Figure 225836DEST_PATH_IMAGE002
, soil temperature
Figure 547096DEST_PATH_IMAGE004
, calculate the water evaporation per mu of land
Figure 567005DEST_PATH_IMAGE010
, then calculate the time
Figure 835175DEST_PATH_IMAGE008
Internal irrigation
Figure DEST_PATH_IMAGE016
, Control valve precise irrigation, irrigation amount
Figure 468149DEST_PATH_IMAGE016
Calculated as follows:
Figure DEST_PATH_IMAGE018
Figure DEST_PATH_IMAGE018
 其中，
Figure DEST_PATH_IMAGE020
分别为灌溉面积和每亩地目标容水量。in,
Figure DEST_PATH_IMAGE020
are the irrigated area and the target water capacity per mu, respectively.
CN201811650884.XA 2018-12-31 2018-12-31 An intelligent irrigation method based on LABVIEW Expired - Fee Related CN109548634B (en)

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