Universal intelligent irrigation system and control method therefor

Abstract

The invention discloses a universal intelligent irrigation system and a control method therefor. The universal intelligent irrigation system comprises a plurality of meteorological information sensors and a plurality of soil information sensors, wherein the meteorological information sensors and the soil information sensors are separately connected with a data aggregation module, the two data aggregation modules are separately connected with a model calculation and control module, the model calculation and control module is connected with an executor, and the executor is connected with irrigation facilities; and the model calculation and control module comprises a PLS calculation model and an ANFIS calculation model. According to the system, irrigation control is carried out according to calculated results on the basis of sensor detected environment and soil parameters through utilizing a machine learning algorithm, extracting parameters, which have the greatest influence on required irrigation water consumption, from all parameters and modeling corresponding crop transpiration calculation models. According to the control method for the universal intelligent irrigation system, disclosed by the invention, a closed-loop control mode is adopted, so that the frequency of irrigation and the irrigation water consumption can be automatically and flexibly adjusted according to different meteorological conditions and crop growth conditions.

Description

technical field [0001] The invention belongs to the technical field of agricultural irrigation, and in particular relates to a general intelligent irrigation control method. Background technique [0002] The current automatic irrigation control is basically divided into the following categories, one is timing irrigation, that is, the irrigation schedule is set in advance, and the timing starts and ends at a fixed time; the other is irrigation based on crop transpiration, that is, according to a specific calculation formula. Calculation of crop transpiration, irrigate when a certain set value is reached, and determine the amount of irrigation according to the calculation data; one is to irrigate according to sensor data, that is, real-time detection by soil moisture sensors inserted or buried in the soil Changes in soil humidity, irrigate when a certain set value is reached, and determine the irrigation stop time based on the sensor detection data; there is also a comprehensi...

AI Technical Summary

Problems solved by technology

[0003] There are certain defects and deficiencies in the above-mentioned multiple automatic irrigation control methods: 1. The regular irrigation mode belongs to open-loop control. In this formula, the irrigation system is static, and the required irrigation water volume and irrigation time of crops are determined by prior estimation. , but crop growth and its environment are dynamically changing, and the amount of irrigation required for crop growth is also constantly changing. Conditions are flexible, even if there is precipitation, irrigation control will still be carried out according to the schedule. If the weather is particularly dry during a certain period of time and has not been estimated in advance, it will cause crop water shortage

2. Irrigation based on crop transpiration is also open-loop control. This method generally estimates crop transpiration based on meteorological information, and performs irrigation control accordingly. Although it is more flexible than regular irrigation, it still cannot Avoid the situation of performing irrigation behavior under precipitation, and when the irrigation pipes, drippers, sprinklers, etc. are blocked, whether the crops have received the irrigation water they should get, and there is no feedback

First, whether the sensor data is always accurate cannot be guaranteed; second, it cannot be flexibly adjusted according to specific meteorological conditions. For example, there will be precipitation soon, but the current sensor data shows that irrigation should be carried out. Precipitation, then to a certain extent caused the waste of water resources

4. Comprehensive use of various meteorological parameters and soil parameters for irrigation control. Although compared with other methods, this kind of control mostly uses some intelligent algorithms to establish models, and then performs irrigation control according to the models, and the establishment of models requires a lot of data, otherwise the control accuracy cannot be guaranteed

If this kind of control method is used, it needs to be trained in advance based on a large amount of previous data in the area to establish a relatively accurate control model, which has poor versatility. If the previous environmental parameters such as weather and soil in the area cannot be obtained, it is difficult to use this and if there are too few parameters affecting the model, even if there is a large amount of data, the accuracy of the model cannot be guaranteed. If there are too many parameters, such as using air temperature, air humidity, light, soil temperature, soil humidity, wind speed, and rainfall Monitoring and many other parameters not only increase the data flow, but also cause the model training speed to be too slow, and there may be some contradictory data among various parameters. At the same time, multi-parameters and large data volumes also have data redundancy. directly affects the calculation speed of the control model

Images