CN-122022292-A - Irrigation strategy adjustment method and system based on environmental data and climate data

CN122022292ACN 122022292 ACN122022292 ACN 122022292ACN-122022292-A

Abstract

The invention provides an irrigation strategy adjustment method and system based on environmental data and climate data, and relates to the technical field of intelligent regulation and control of agricultural irrigation. According to the method, the environment data and the corresponding climate data of the target irrigation area are obtained in each preset decision period, the multisource data are subjected to uniform processing, irrigation state data are constructed, a future disturbance uncertainty interval is introduced, an irrigation strategy is solved under the conditions of water target constraint and resource constraint, rolling re-solving is triggered through feedback data in the execution process, dynamic updating of the irrigation strategy is achieved, and therefore adaptability of the irrigation decision to environment change and water consumption efficiency are improved.

Inventors

ZHENG HEXIANG
LI YUNFENG
LIU NA
QIN ZIYUAN
WANG WANNING
FAN TING
ZHANG ZENGBAO
FENG JUNJIE
CAO XUESONG
TONG CHANGFU
LI LIANG
WU JIABIN
WANG JUN
TIAN DELONG
LI ZEKUN
WANG GUOSHUAI

Assignees

水利部牧区水利科学研究所

Dates

Publication Date: 20260512
Application Date: 20260119

Claims (10)

1. An irrigation strategy adjustment method based on environmental data and climate data, comprising: Acquiring environmental data of a target irrigation area and climate data corresponding to a preset decision period in each preset decision period, wherein the environmental data are used for representing the current moisture state, and the climate data are used for representing future moisture disturbance; performing a consistent preprocessing of the environmental data and the climate data to generate an input dataset usable for the same decision period calculation; Constructing irrigation state data based on the input data set, and generating an uncertainty interval of future moisture change based on a future disturbance characterization quantity, wherein the irrigation state data comprises a current moisture state characterization quantity and the future disturbance characterization quantity; Calculating irrigation demand data based on the irrigation state data, and constructing a strategy solving problem meeting water target constraint and resource constraint, wherein the water target constraint is used for enabling the water state after irrigation to fall into a preset target interval, and the resource constraint comprises water supply capacity constraint or water limit constraint; the strategy solving problem is solved to obtain an irrigation strategy adjusting result, wherein the irrigation strategy adjusting result at least comprises an irrigation quantity parameter, an irrigation time sequence parameter and an execution intensity parameter, and the condition that the water deviation risk is smaller than a preset risk threshold under the uncertainty interval is satisfied; And issuing and executing the irrigation strategy adjustment result, acquiring the environmental data in the execution process to form feedback data, and triggering rolling re-solving of the strategy solving problem when the deviation of the feedback data relative to the irrigation state data exceeds a preset threshold value so as to update the irrigation strategy adjustment result.
2. The irrigation strategy adjustment method based on environmental data and climate data according to claim 1, wherein obtaining the climate data corresponding to the environmental data of the target irrigation area and the preset decision period in each preset decision period comprises: Acquiring soil moisture content data used for representing the current moisture state in the target irrigation area; Acquiring soil temperature data and/or soil water potential data corresponding to the soil water content data; Acquiring historical irrigation amount data and historical irrigation time sequence data of an irrigation execution object of the target irrigation area, and incorporating the historical irrigation amount data and the historical irrigation time sequence data into the environmental data; And the soil water content data, the soil temperature data and/or the soil water potential data are used for calculating the current water state characterization quantity in the irrigation state data.
3. The irrigation strategy adjustment method based on environmental data and climate data according to claim 1, wherein the climate data comprises at least: At least one of precipitation data or precipitation forecast data in the preset decision period, air temperature data in the preset decision period, relative humidity data in the preset decision period, wind speed data or solar radiation data.
4. The irrigation strategy adjustment method based on environmental data and climate data according to claim 1, wherein performing a consistent preprocessing of the environmental data and the climate data generates an input data set usable for the same decision period calculation, comprising: Carrying out unit and dimension unification treatment on the environmental data and the climate data; performing time aggregation on the environmental data and the climate data according to the preset decision period to generate the input data set; And carrying out outlier rejection and missing value filling processing on the input data set.
5. The irrigation strategy adjustment method based on environmental data and climate data according to claim 2, wherein constructing irrigation status data based on the input data set comprises: Calculating the current moisture state characterization quantity based on records corresponding to soil moisture content data in the input data set; Calculating the future disturbance characterization quantity based on records corresponding to precipitation data or precipitation forecast data in the input data set and records corresponding to air temperature data; And correlating the current moisture state characterization quantity with the future disturbance characterization quantity according to the preset decision period to obtain the irrigation state data.
6. The irrigation strategy adjustment method based on environmental data and climate data according to claim 1, wherein generating an uncertainty interval of future moisture variation based on the future disturbance characterization quantity comprises: Determining a future disturbance fluctuation range based on the historical climate data and the historical environment data; performing upper and lower boundary expansion on the future disturbance characterization quantity according to the future disturbance fluctuation amplitude to obtain an upper boundary and a lower boundary of the uncertainty interval; writing the upper and lower bounds of the uncertainty interval into the irrigation state data for constraint construction of the strategy solving problem.
7. The irrigation strategy adjustment method based on environmental data and climate data according to claim 1, wherein calculating irrigation demand data based on the irrigation status data and constructing a strategy solving problem satisfying a moisture target constraint and a resource constraint comprises: calculating the irrigation water supplementing quantity according to the current moisture state characterization quantity and the preset target interval, and generating a demand index in the irrigation demand data; determining an irrigation permission window or an irrigation priority period according to the future disturbance characterization quantity, and generating a time sequence constraint index in the irrigation demand data; And constructing the demand index, the time sequence constraint index, the moisture target constraint and the resource constraint together into the strategy solving problem.
8. The irrigation strategy adjustment method based on environmental data and climate data according to claim 1, wherein the moisture deviation risk is determined in the following manner: predicting a possible range of the water state after irrigation under the uncertainty interval; Determining the deviation degree of the possible range and the preset target interval to obtain the moisture deviation degree; And determining the moisture deviation risk based on the moisture deviation degree, and comparing the moisture deviation risk with the preset risk threshold value to restrict the irrigation strategy adjustment result.
9. The irrigation strategy adjustment method based on environmental data and climate data according to claim 1, wherein triggering a rolling re-solution of the strategy solving problem when the deviation of the feedback data from the irrigation status data exceeds a preset threshold value comprises: After issuing and executing the irrigation strategy adjustment result, continuously acquiring the environmental data in the preset decision period to form the feedback data; determining the deviation based on a difference between the feedback data and the current moisture status characterization in the irrigation status data; When the deviation meets the triggering condition exceeding the preset threshold, updating the irrigation demand data and carrying out rolling re-solving on the strategy solving problem so as to generate a new irrigation strategy adjusting result and replace the original irrigation strategy adjusting result.
10. An irrigation strategy adjustment system based on environmental data and climate data, comprising: The system comprises an environment and climate data acquisition unit, a target irrigation area management unit and a target irrigation area management unit, wherein the environment and climate data acquisition unit is used for acquiring environment data of the target irrigation area and climate data corresponding to a preset decision period in each preset decision period, wherein the environment data is used for representing a current moisture state, and the climate data is used for representing future moisture disturbance; the data consistency preprocessing unit is used for performing consistency preprocessing on the environmental data and the climate data to generate an input data set which can be used for calculation of the same decision period; The irrigation state construction and uncertainty interval generation unit is used for constructing irrigation state data based on the input data set and generating an uncertainty interval of future moisture change based on a future disturbance characterization quantity, wherein the irrigation state data comprises a current moisture state characterization quantity and the future disturbance characterization quantity; The irrigation demand calculation and strategy constraint construction unit is used for calculating irrigation demand data based on the irrigation state data and constructing a strategy solving problem meeting water target constraint and resource constraint, wherein the water target constraint is used for enabling the water state after irrigation to fall into a preset target interval, and the resource constraint comprises water supply capacity constraint or water use limit constraint; The irrigation strategy solving and risk constraint control unit is used for solving the strategy solving problem to obtain an irrigation strategy adjusting result, wherein the irrigation strategy adjusting result at least comprises an irrigation quantity parameter, an irrigation time sequence parameter and an execution intensity parameter, and the condition that the moisture deviation risk is smaller than a preset risk threshold under the uncertainty interval is satisfied; And the irrigation execution feedback and rolling re-solving unit is used for issuing and executing the irrigation strategy adjustment result, acquiring the environmental data in the execution process to form feedback data, and triggering the rolling re-solving of the strategy solving problem when the deviation of the feedback data relative to the irrigation state data exceeds a preset threshold value so as to update the irrigation strategy adjustment result.

Description

Irrigation strategy adjustment method and system based on environmental data and climate data Technical Field The invention relates to the technical field of intelligent regulation and control of agricultural irrigation, in particular to an irrigation strategy adjustment method and system based on environmental data and climate data. Background The existing irrigation management mode is mostly dependent on manual experience to set an irrigation scheme, or adopts a fixed irrigation period and a control strategy based on a single sensor threshold value to schedule water. Under the condition that the crop growth conditions are relatively stable, the method can meet the basic water supply requirement to a certain extent, but when the meteorological conditions are changed rapidly, the microclimate difference in the area is obvious or the land moisture conditions are fluctuated, the response of irrigation decision to the environmental change is delayed, and the reasonable configuration of water resources is difficult to realize while the crop growth is ensured. With the development of the technology of the agricultural Internet of things and the improvement of the weather service capability, the field environment monitoring means are gradually perfected, the acquisition continuity and timeliness of environment data are obviously improved, and meanwhile, the acquirability of weather station observation data and short-time weather forecast data is continuously enhanced. In this context, irrigation management gradually evolves from experience-dependent extensive control to a refined regulation and control direction based on data analysis, and higher requirements are put on dynamic irrigation decisions under multi-source data support. However, in the prior art, environmental data and climate data are often used for independent analysis or unidirectional reference respectively, and a mechanism for performing uniform processing and joint modeling in the same irrigation decision link is lacking, so that an irrigation strategy usually only reflects the current moisture state or single meteorological trend, and comprehensive influence of real-time moisture condition and future meteorological disturbance is difficult to be considered, and irrational irrigation quantity configuration or improper irrigation scheduling is easy to be caused, thereby influencing irrigation effect and reducing water resource utilization efficiency. Disclosure of Invention In order to overcome the defects of the prior art, the invention aims to provide an irrigation strategy adjustment method and system based on environmental data and climate data, which realize dynamic and fine regulation and control on irrigation demands and effectively improve the adaptability of the irrigation strategy to environmental changes and water utilization efficiency by fusing the environmental data and the climate data and introducing an uncertainty constraint irrigation decision mechanism. In order to achieve the above object, the present invention provides the following solutions: An irrigation strategy adjustment method based on environmental data and climate data, comprising: Acquiring environmental data of a target irrigation area and climate data corresponding to a preset decision period in each preset decision period, wherein the environmental data are used for representing the current moisture state, and the climate data are used for representing future moisture disturbance; performing a consistent preprocessing of the environmental data and the climate data to generate an input dataset usable for the same decision period calculation; Constructing irrigation state data based on the input data set, and generating an uncertainty interval of future moisture change based on a future disturbance characterization quantity, wherein the irrigation state data comprises a current moisture state characterization quantity and the future disturbance characterization quantity; Calculating irrigation demand data based on the irrigation state data, and constructing a strategy solving problem meeting water target constraint and resource constraint, wherein the water target constraint is used for enabling the water state after irrigation to fall into a preset target interval, and the resource constraint comprises water supply capacity constraint or water limit constraint; the strategy solving problem is solved to obtain an irrigation strategy adjusting result, wherein the irrigation strategy adjusting result at least comprises an irrigation quantity parameter, an irrigation time sequence parameter and an execution intensity parameter, and the condition that the water deviation risk is smaller than a preset risk threshold under the uncertainty interval is satisfied; And issuing and executing the irrigation strategy adjustment result, acquiring the environmental data in the execution process to form feedback data, and triggering rolling re-solving of the strategy solving proble