A method for optimizing the layout of agricultural irrigation pipe network system

Abstract

The present invention belongs to the technical field of agricultural smart irrigation. The present invention provides a method for optimizing the layout of an agricultural irrigation pipe network system. The image data of an agricultural irrigation area is obtained through a digital acquisition platform of an unmanned aerial vehicle. The image data of the agricultural irrigation area includes a regional distribution value and a regional area value. The regional distribution value and the regional area value are analyzed and processed, and a regional analysis value is output to reflect the total planting area of ​​each target sub-area in the agricultural irrigation area and the degree of difference between the planting areas of each target sub-area, which can be used as a basis for preliminary design judgment. If the regional analysis value is greater than or equal to the preliminary design threshold, it means that the planting areas of each target sub-area in the agricultural irrigation area are uniformly planted. If the regional analysis value is less than the preliminary design threshold, the planting areas of each target sub-area in the agricultural irrigation area are unevenly planted, thereby evaluating the planting situation in the agricultural irrigation area.

Description

Technical Field

[0001] The present invention belongs to the technical field of agricultural intelligent irrigation, and specifically relates to a method for optimizing the layout of an agricultural irrigation pipe network system. Background Art

[0002] Traditional irrigation pipe network systems often have problems such as unreasonable layout, aging pipes, serious water leakage, and lack of efficient management systems, which lead to serious waste of water resources and low irrigation efficiency. Therefore, the layout of the irrigation pipe network system is optimized to achieve reasonable allocation and efficient use of water resources.

[0003] In the existing technology, there is a lack of irrigation network layout design based on actual data of agricultural irrigation areas, which leads to low irrigation efficiency and unreasonable use of water resources. Therefore, by analyzing the total planting area of ​​each target sub-area in the agricultural irrigation area and the difference between the planting areas of each target sub-area, the planting situation of each target sub-area in the agricultural irrigation area is evaluated, and the historical irrigation data of the agricultural irrigation area is analyzed to obtain the irrigation frequency and irrigation demand of each target sub-area in the agricultural irrigation area, and evaluate the historical irrigation demand of the agricultural irrigation area, which provides data support for the optimization of the network design in the agricultural irrigation area, and completes the optimization of the irrigation network layout based on the water source coordinates and the coordinates of the low-demand sub-area, thereby solving the problem that there are many low-demand sub-areas in the agricultural irrigation area, resulting in unreasonable irrigation network strategy.

[0004] To this end, the present invention provides a method for optimizing the layout of an agricultural irrigation pipe network system. Summary of the invention

[0005] In order to make up for the deficiencies of the prior art, at least one technical problem raised in the background technology is solved.

[0006] The technical solution adopted by the present invention to solve the technical problem is: a method for optimizing the layout of an agricultural irrigation pipe network system, comprising:

[0007] Step 1: Acquire an agricultural irrigation area image, and obtain agricultural irrigation area image data based on the agricultural irrigation area image, wherein the agricultural irrigation area image data includes a regional distribution value and a regional area value, and analyze and process the regional distribution value and the regional area value to output a regional analysis value;

[0008] Step 2: Compare the regional analysis value with the regional analysis threshold, and if the regional analysis value is less than the regional analysis threshold, generate an uneven planting signal;

[0009] Step 3: Based on the uneven planting signal, historical irrigation data of the agricultural irrigation area in the historical period is obtained, and the historical irrigation frequency and the historical irrigation amount of the historical irrigation data are analyzed and processed to obtain the irrigation demand value, and the irrigation demand value is compared with the irrigation demand threshold. If the irrigation demand value is less than the irrigation demand threshold, a low-demand sub-area is obtained, and the low-demand sub-area is analyzed and processed to obtain analysis data, wherein the analysis data includes the low demand quantity and the low demand total amount, and the low demand quantity and the low demand total amount are processed to output a demand analysis value, and compared with the demand analysis threshold. If the demand analysis value is greater than the demand analysis threshold, an uneven demand signal is generated;

[0010] Step 4: Based on the uneven demand signal, obtain the location data of all target sub-areas in the agricultural irrigation area, where the location data includes the water source coordinates and the low-demand sub-area coordinates. According to the water source coordinates and the low-demand sub-area coordinates, complete the optimization of the irrigation network layout.

[0011] As a further solution of the present invention, the regional analysis value is obtained by:

[0012] The area value Q m and the regional distribution value Q f Substituting into the formula: Calculate the regional analysis value S c , where α and β represent preset proportional coefficients, and α is 2.314 and β is 6.312.

[0013] As a further solution of the present invention, the area of ​​the region is obtained as follows:

[0014] The image data of the agricultural irrigation area is obtained through the UAV digital acquisition platform, and the agricultural irrigation area is divided into several target sub-areas. The planting area in the target sub-area is obtained, and the ratio is calculated with the total area of ​​the target sub-area to obtain the planting area;

[0015] The corresponding planting areas of all target sub-regions are added up and the ratio is calculated with the total area of ​​agricultural irrigation area to obtain the regional area, which is marked as Q. m ;

[0016] The regional distribution value is obtained as follows:

[0017] The planting areas corresponding to all target sub-areas are summed and averaged to obtain the average planting area;

[0018] Subtract the planting area corresponding to the target sub-region from the mean planting area, take the absolute value, and get the planting area difference;

[0019] Add up all the differences in planting area and take the average to get the regional distribution value, which is marked as Q f

[0020] As a further solution of the present invention, the method of obtaining the low-demand sub-area is:

[0021] The historical irrigation amount and the historical irrigation frequency are added together to obtain the irrigation demand value;

[0022] The irrigation demand value is compared with the irrigation demand threshold. If the irrigation demand value is less than the irrigation demand threshold, it means that the target sub-area has a low irrigation frequency and irrigation demand in the historical period, and is marked as a low demand sub-area.

[0023] As a further solution of the present invention, the historical irrigation amount is obtained by:

[0024] The historical cycle is divided into several historical periods, and the irrigation amount of the target sub-area in the historical period is obtained. The irrigation amount of the target sub-area in the historical cycle is calculated by ratio with the preset historical irrigation amount to obtain the historical irrigation amount.

[0025] As a further solution of the present invention, the historical irrigation frequency is obtained in the following manner:

[0026] Get the number of irrigation times of the target sub-area in the historical period, add and average them, and calculate the ratio with the preset historical irrigation frequency to get the historical irrigation frequency

[0027] As a further solution of the present invention, the demand analysis value is obtained by:

[0028] Obtain the number of low-demand sub-areas and calculate the ratio with the total number of target sub-areas within the agricultural irrigation area to obtain the number of low-demand sub-areas;

[0029] The irrigation demand value corresponding to the low demand sub-area is subtracted from the irrigation demand threshold, the absolute value is taken, and the ratio is calculated with the irrigation demand threshold to obtain the demand difference;

[0030] Add up the demand differences corresponding to all demand sub-areas to get the total low demand; multiply the low demand quantity by the total low demand to get the demand analysis value

[0031] As a further solution of the present invention, the method for obtaining the positioning coordinates corresponding to the low-demand sub-area is:

[0032] The image of the agricultural irrigation area is converted into an agricultural irrigation coordinate system based on the ground feature information of the irrigation area through view conversion technology;

[0033] Mark the positions of all target sub-areas in the agricultural irrigation coordinate system, obtain multiple positioning coordinates, and extract the positioning coordinates corresponding to the sub-areas with low demand

[0034] As a further solution of the present invention, the method for obtaining the ranking of the low-demand sub-regions is as follows:

[0035] Connect the corresponding positioning coordinates of all low-demand sub-areas with straight lines to obtain a closed graph;

[0036] Compare all water source distances, select the minimum water source distance, and take the low-demand sub-area corresponding to the minimum water source distance as the first low-demand sub-area;

[0037] Obtain the distance between the adjacent low-demand sub-regions of the first low-demand sub-region, filter out the minimum distance value, and use the low-demand sub-region corresponding to the minimum distance value as the second low-demand sub-region;

[0038] All low-demand sub-areas in the agricultural irrigation area are traversed until the last low-demand sub-area is obtained, and the low-demand sub-areas are sorted from large to small according to the distance between the low-demand sub-areas to obtain the low-demand sub-area sorting.

[0039] As a further solution of the present invention, the process of optimizing the layout of the irrigation pipe network is as follows:

[0040] The distances between all low-demand sub-areas are calculated by ratio to the perimeter of the agricultural irrigation area, and the variance is calculated to obtain the distance variance value;

[0041] Calculate the variance of the demand differences corresponding to all low-demand sub-areas to obtain the demand variance value;

[0042] Add the distance variance value and the demand variance value together to obtain the analysis value;

[0043] The analysis value is compared with the analysis threshold, and the process is as follows;

[0044] If the analysis value is greater than the analysis threshold, a branch design signal is generated, and a branch network design is performed for the agricultural irrigation area based on the branch design signal;

[0045] If the analysis value is less than or equal to the analysis threshold, a ring design signal is generated, and a ring-shaped pipe network is designed for the agricultural irrigation area based on the ring design signal.

[0046] The beneficial effects of the present invention are as follows:

[0047] (1) The present invention obtains agricultural irrigation area image data through an unmanned aerial vehicle digital acquisition platform. The agricultural irrigation area image data includes a regional distribution value and a regional area value. The regional distribution value and the regional area value are analyzed and processed to output a regional analysis value, thereby reflecting the total planting area of ​​each target sub-region in the agricultural irrigation area and the degree of difference between the planting areas of each target sub-region, which can be used as a basis for preliminary design judgment. If the regional analysis value is greater than or equal to the preliminary design threshold, it means that the planting areas of each target sub-region in the agricultural irrigation area are uniformly planted. If the regional analysis value is less than the preliminary design threshold, the planting areas of each target sub-region in the agricultural irrigation area are unevenly planted, thereby evaluating the planting situation of the agricultural irrigation area;

[0048] (2) The present invention obtains historical irrigation data of an agricultural irrigation area through irrigation logs, wherein the historical irrigation data includes historical irrigation frequency and historical irrigation amount of a target sub-area, analyzes and processes the historical irrigation frequency and historical irrigation amount to obtain analysis data, and performs analysis based on the analysis data to output a demand analysis value, thereby reflecting the number of sub-areas with relatively low irrigation demand in the agricultural irrigation area and the degree of difference between the irrigation demand and the irrigation demand threshold through the demand analysis value, and then analyzes and obtains an evaluation of whether each target sub-area in the agricultural irrigation area is a low-demand sub-area, and further analyzes the historical irrigation demand of the agricultural irrigation area based on the evaluation results obtained by the analysis, providing data support for the optimization of the pipe network design in the agricultural irrigation area;

[0049] (3) Based on the uneven demand signal, the present invention obtains the location data of all target sub-areas within the agricultural irrigation area, wherein the location data includes the water source coordinates and the low-demand sub-area coordinates. According to the water source coordinates and the low-demand sub-area coordinates, the optimization of the irrigation network layout is completed, thereby solving the problem that there are many low-demand sub-areas in the agricultural irrigation area, resulting in unreasonable irrigation network strategy. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] The present invention will be further described below in conjunction with the accompanying drawings.

[0051] Figure 1 It is a planting analysis flow chart of a method for optimizing the layout of an agricultural irrigation pipe network system of the present invention;

[0052] Figure 2 It is an irrigation demand analysis flow chart of an agricultural irrigation pipe network system layout optimization method of the present invention;

[0053] Figure 3 It is a flow chart of optimization steps of an agricultural irrigation pipe network system layout optimization method of the present invention. DETAILED DESCRIPTION

[0054] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0055] Example 1

[0056] like Figure 1 As shown, a method for optimizing the layout of an agricultural irrigation pipe network system according to an embodiment of the present invention includes:

[0057] Step 1: Acquire an agricultural irrigation area image, and obtain agricultural irrigation area image data based on the agricultural irrigation area image, wherein the agricultural irrigation area image data includes a regional distribution value and a regional area value, and analyze and process the regional distribution value and the regional area value to output a regional analysis value;

[0058] In some embodiments, image data of the agricultural irrigation area is obtained through the UAV digital acquisition platform, the agricultural irrigation area is divided into a number of target sub-areas, the planting area in the target sub-area is obtained, and the ratio is calculated with the total area of ​​the target sub-area to obtain the planting area;

[0059] The corresponding planting areas of all target sub-regions are added up and the ratio is calculated with the total area of ​​agricultural irrigation area to obtain the regional area, which is marked as Q. m ;

[0060] It should be noted that the agricultural irrigation area is divided into target sub-areas by equal sub-area areas, and the area of ​​each target sub-area is equal;

[0061] The planting areas corresponding to all target sub-areas are summed and averaged to obtain the average planting area;

[0062] Subtract the planting area corresponding to the target sub-region from the mean planting area, take the absolute value, and get the planting area difference;

[0063] Add up all the differences in planting area and take the average to get the regional distribution value, which is marked as Q f ;

[0064] The area value Q m and the regional distribution value Q f Substituting into the formula: Calculate the regional analysis value S c , where α and β represent preset proportional coefficients, and α is 2.314 and β is 6.312;

[0065] It should be noted that the meaning of the regional analysis value is: reflecting the total planting area of ​​each target sub-region in the agricultural irrigation area and the degree of difference between the planting areas of each target sub-region. Specifically, if this value is larger, it means that the total planting area of ​​each target sub-region in the agricultural irrigation area is larger, and the degree of difference between the planting areas of each target sub-region is smaller, and the distribution of the planting area is more uniform. On the contrary, if this value is smaller, it means that the total planting area of ​​each target sub-region in the agricultural irrigation area is smaller, and the degree of difference between the planting areas of each target sub-region is larger, and the distribution of the planting area is more uneven.

[0066] Step 2: Compare the regional analysis value with the regional analysis threshold, and if the regional analysis value is less than the regional analysis threshold, generate an uneven planting signal;

[0067] Specifically, the regional analysis value is compared with the preliminary design threshold value, and the process is as follows:

[0068] If the regional analysis value is greater than or equal to the preliminary design threshold, it means that the total planting area of ​​each target sub-region in the agricultural irrigation area is large, and the difference between the planting areas of each target sub-region is small, the planting area distribution is relatively uniform, and a planting uniformity signal is generated;

[0069] If the regional analysis value is less than the preliminary design threshold, it means that the total planting area of ​​each target sub-region in the agricultural irrigation area is small, and the difference between the planting areas of each target sub-region is large, the planting area distribution is relatively uneven, and an uneven planting signal is generated;

[0070] Specific implementation scheme of the embodiment of the present invention: agricultural irrigation area image data is acquired through an unmanned aerial vehicle digital acquisition platform, the agricultural irrigation area image data includes regional distribution values ​​and regional area values, the regional distribution values ​​and regional area values ​​are analyzed and processed, and the regional analysis values ​​are output to reflect the total planting area of ​​each target sub-area in the agricultural irrigation area and the degree of difference between the planting areas of each target sub-area, which can be used as a basis for preliminary design judgment. If the regional analysis value is greater than or equal to the preliminary design threshold, it means that the planting areas of each target sub-area in the agricultural irrigation area are uniformly planted. If the regional analysis value is less than the preliminary design threshold, the planting areas of each target sub-area in the agricultural irrigation area are unevenly planted, thereby evaluating the planting situation in the agricultural irrigation area.

[0071] Example 2

[0072] like Figure 2 As shown, based on Example 1, a method for optimizing the layout of an agricultural irrigation pipe network system according to an embodiment of the present invention includes:

[0073] Step 3: Based on the uneven planting signal, historical irrigation data of the agricultural irrigation area in the historical period is obtained, and the historical irrigation frequency and the historical irrigation amount of the historical irrigation data are analyzed and processed to obtain the irrigation demand value, and the irrigation demand value is compared with the irrigation demand threshold. If the irrigation demand value is less than the irrigation demand threshold, a low-demand sub-area is obtained, and the low-demand sub-area is analyzed and processed to obtain analysis data, wherein the analysis data includes the low demand quantity and the low demand total amount, and the low demand quantity and the low demand total amount are processed to output a demand analysis value, and compared with the demand analysis threshold. If the demand analysis value is greater than the demand analysis threshold, an uneven demand signal is generated;

[0074] In some embodiments, historical irrigation data of an agricultural irrigation area is obtained through irrigation logs, wherein the historical irrigation data includes historical irrigation frequency and historical irrigation amount of a target sub-area, and the historical irrigation frequency and historical irrigation amount are analyzed and processed, and the process is as follows:

[0075] Divide the historical cycle into several historical periods, obtain the irrigation amount of the target sub-area in the historical period, calculate the ratio of the irrigation amount of the target sub-area in the historical cycle to the preset historical irrigation amount, and obtain the historical irrigation amount;

[0076] It should be noted that the preset historical irrigation volume is set by irrigation personnel based on historical experience;

[0077] Obtain the number of irrigations in the target sub-area during the historical period, add and average the numbers, and calculate the ratio with the preset historical irrigation frequency to obtain the historical irrigation frequency;

[0078] It should be noted that the preset historical irrigation frequency is set by irrigation personnel based on historical experience;

[0079] The historical irrigation amount and the historical irrigation frequency are added together to obtain the irrigation demand value;

[0080] Compare the irrigation demand value with the irrigation demand threshold. If the irrigation demand value is greater than or equal to the irrigation demand threshold, it means that the target sub-area has a high irrigation frequency and irrigation demand in the historical period, and is marked as a high-demand sub-area. If the irrigation demand value is less than the irrigation demand threshold, it means that the target sub-area has a low irrigation frequency and irrigation demand in the historical period, and is marked as a low-demand sub-area.

[0081] Obtain the number of low-demand sub-areas and calculate the ratio with the total number of target sub-areas within the agricultural irrigation area to obtain the number of low-demand sub-areas;

[0082] The irrigation demand value corresponding to the low demand sub-area is subtracted from the irrigation demand threshold, the absolute value is taken, and the ratio is calculated with the irrigation demand threshold to obtain the demand difference;

[0083] The demand differences corresponding to all demand sub-areas are added together to obtain the total demand difference.

[0084] The demand analysis value is obtained by multiplying the low demand quantity by the total low demand.

[0085] It can be understood that the demand analysis value means: reflecting the number of sub-regions with relatively low irrigation demand (i.e., the irrigation frequency and irrigation volume are both low in the historical period) within the agricultural irrigation area, and the degree of difference between the irrigation demand and the irrigation demand threshold. Specifically, the larger the value, the more sub-regions with relatively low irrigation demand within the agricultural irrigation area, and the greater the difference between them and the irrigation demand threshold, that is, the irrigation demand is relatively uneven. On the contrary, the larger the value, the fewer sub-regions with relatively low irrigation demand within the agricultural irrigation area, and the smaller the difference between them and the irrigation demand threshold, that is, the irrigation demand is relatively uniform.

[0086] The demand analysis value is compared with the demand analysis threshold value as follows:

[0087] If the demand analysis value is greater than the demand analysis threshold, it means that within the agricultural irrigation area, there are more sub-areas with relatively low irrigation demand, and the difference between them and the irrigation demand threshold is large, that is, the irrigation demand is relatively uneven, generating an uneven demand signal;

[0088] If the demand analysis value is less than or equal to the demand analysis threshold, it means that within the agricultural irrigation area, there are fewer sub-areas with relatively low irrigation demand, and the difference between them and the irrigation demand threshold is small, that is, the irrigation demand is relatively uniform, generating a uniform demand signal;

[0089] The specific implementation scheme of the embodiment of the present invention is: obtaining historical irrigation data of an agricultural irrigation area through irrigation logs, wherein the historical irrigation data includes historical irrigation frequency and historical irrigation amount of a target sub-area, analyzing and processing the historical irrigation frequency and historical irrigation amount to obtain analysis data, and analyzing the analysis data to output a demand analysis value, thereby reflecting the number of sub-areas with relatively low irrigation demand in the agricultural irrigation area and the degree of difference between the irrigation demand and the irrigation demand threshold through the demand analysis value, and then analyzing to obtain an assessment of whether each target sub-area in the agricultural irrigation area is a low-demand sub-area, and further analyzing the historical irrigation demand of the agricultural irrigation area based on the evaluation results obtained by the analysis, providing data support for the optimization of the pipe network design in the agricultural irrigation area.

[0090] Example 3

[0091] like Figure 2As shown, based on Example 1 and Example 2, a method for optimizing the layout of an agricultural irrigation pipe network system according to an embodiment of the present invention includes:

[0092] Step 4: Based on the uneven demand signal, obtain the location data of all target sub-areas in the agricultural irrigation area, where the location data includes the coordinates of the water source and the coordinates of the sub-area with low demand. According to the coordinates of the water source and the coordinates of the sub-area with low demand, optimize the layout of the irrigation network.

[0093] In some embodiments, the agricultural irrigation area image is transformed through a view conversion technology to obtain an agricultural irrigation coordinate system based on the ground feature information of the irrigation area;

[0094] Mark the positions of all target sub-areas in the agricultural irrigation coordinate system to obtain multiple positioning coordinates, and extract the positioning coordinates corresponding to the sub-areas with low demand;

[0095] Connect the corresponding positioning coordinates of all low-demand sub-areas with straight lines to obtain a closed graph. The specific process is as follows:

[0096] Exemplarily, the coordinates of a low-demand sub-region in the agricultural irrigation coordinate system are randomly selected and connected with the water source coordinates to obtain the water source distance;

[0097] Compare all water source distances, select the minimum water source distance, and take the low-demand sub-area corresponding to the minimum water source distance as the first low-demand sub-area;

[0098] Obtain the distance between the adjacent low-demand sub-regions of the first low-demand sub-region, filter out the minimum distance value, and use the low-demand sub-region corresponding to the minimum distance value as the second low-demand sub-region;

[0099] Traverse all low-demand sub-areas in the agricultural irrigation area until the last low-demand sub-area is obtained, and sort the low-demand sub-areas from large to small according to the distance between the low-demand sub-areas to obtain the low-demand sub-area sorting;

[0100] The distances between all low-demand sub-areas are ratioed to the perimeter of the agricultural irrigation area, and variance is calculated to obtain the distance variance value;

[0101] Calculate the variance of the demand differences corresponding to all low-demand sub-areas to obtain the demand variance value;

[0102] Add the distance variance value and the demand variance value together to obtain the analysis value;

[0103] The analysis value is compared with the analysis threshold, and the process is as follows;

[0104] If the analysis value is greater than the analysis threshold, it means that the low-demand sub-regions are relatively dispersed and the demand similarity is low, and a branch design signal is generated. Based on the branch design signal, a branch network design is performed for the agricultural irrigation area.

[0105] If the analysis value is less than or equal to the analysis threshold, it means that the low-demand sub-areas are relatively concentrated and the demand similarity is high, and a ring design signal is generated. Based on the ring design signal, a ring-shaped pipe network design is performed for the agricultural irrigation area.

[0106] The specific implementation plan of the embodiment of the present invention is: based on the uneven demand signal, the location data of all target sub-areas in the agricultural irrigation area are obtained, wherein the location data includes the water source coordinates and the low-demand sub-area coordinates, and the optimization of the irrigation network layout is completed according to the water source coordinates and the low-demand sub-area coordinates, thereby solving the problem that there are many low-demand sub-areas in the agricultural irrigation area, resulting in unreasonable irrigation network strategy.

[0107] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for optimizing the layout of an agricultural irrigation pipe network system, characterized in that: include: Step 1: Acquire an agricultural irrigation area image, and based on the agricultural irrigation area image, obtain agricultural irrigation area image data, wherein the agricultural irrigation area image data includes a regional distribution value and a regional area value, and analyze and process the regional distribution value and the regional area value to output a regional analysis value; Step 2: Compare the regional analysis value with the regional analysis threshold, and if the regional analysis value is less than the regional analysis threshold, generate an uneven planting signal; Step 3: Based on the uneven planting signal, historical irrigation data of the agricultural irrigation area in the historical period is obtained, and the historical irrigation frequency and the historical irrigation amount of the historical irrigation data are analyzed and processed to obtain the irrigation demand value, and the irrigation demand value is compared with the irrigation demand threshold. If the irrigation demand value is less than the irrigation demand threshold, a low-demand sub-area is obtained, and the low-demand sub-area is analyzed and processed to obtain analysis data, wherein the analysis data includes the low demand quantity and the low demand total amount, and the low demand quantity and the low demand total amount are processed to output a demand analysis value, and compared with the demand analysis threshold. If the demand analysis value is greater than the demand analysis threshold, an uneven demand signal is generated; Step 4: Based on the uneven demand signal, obtain the location data of all target sub-areas in the agricultural irrigation area, where the location data includes the water source coordinates and the low-demand sub-area coordinates. According to the water source coordinates and the low-demand sub-area coordinates, complete the optimization of the irrigation network layout.

2. The method for optimizing the layout of an agricultural irrigation pipe network system according to claim 1, characterized in that: The regional analysis value is obtained as follows: The area value Q m and the regional distribution value Q f Substituting into the formula: Calculate the regional analysis value S c , where α and β represent preset proportional coefficients, and α is 2.314 and β is 6.

312.

3. The method for optimizing the layout of an agricultural irrigation pipe network system according to claim 1, characterized in that: The area of ​​the region is obtained as follows: The image data of the agricultural irrigation area is obtained through the UAV digital acquisition platform, and the agricultural irrigation area is divided into several target sub-areas. The planting area in the target sub-area is obtained, and the ratio with the total area of ​​the target sub-area is calculated to obtain the planting area; The corresponding planting areas of all target sub-regions are added up and the ratio is calculated with the total area of ​​agricultural irrigation area to obtain the regional area, which is marked as Q. m ; The regional distribution value is obtained as follows: The planting areas corresponding to all target sub-areas are summed and averaged to obtain the average planting area; Subtract the planting area corresponding to the target sub-region from the mean planting area, take the absolute value, and get the planting area difference; Add up all the differences in planting area and take the average to get the regional distribution value, which is marked as Q f .

4. The method for optimizing the layout of an agricultural irrigation pipe network system according to claim 1, characterized in that: The method to obtain the low-demand sub-area is as follows: The historical irrigation amount and the historical irrigation frequency are added together to obtain the irrigation demand value; The irrigation demand value is compared with the irrigation demand threshold. If the irrigation demand value is less than the irrigation demand threshold, it means that the irrigation frequency and irrigation demand of the target sub-area are low in the historical period, and it is marked as a low-demand sub-area.

5. The method for optimizing the layout of an agricultural irrigation pipe network system according to claim 4, characterized in that: The historical irrigation volume is obtained as follows: The historical cycle is divided into several historical time periods, the irrigation amount of the target sub-area in the historical time period is obtained, and the irrigation amount of the target sub-area in the historical cycle is calculated by ratio with the preset historical irrigation amount to obtain the historical irrigation amount.

6. The method for optimizing the layout of an agricultural irrigation pipe network system according to claim 5, characterized in that: The historical irrigation frequency is obtained as follows: The number of irrigations in the target sub-area during the historical period is obtained, and the average is added and calculated, and the ratio is calculated with the preset historical irrigation frequency to obtain the historical irrigation frequency.

7. The method for optimizing the layout of an agricultural irrigation pipe network system according to claim 1, characterized in that: The demand analysis value is obtained as follows: Obtain the number of low-demand sub-areas and calculate the ratio with the total number of target sub-areas within the agricultural irrigation area to obtain the number of low-demand sub-areas; The irrigation demand value corresponding to the low demand sub-area is subtracted from the irrigation demand threshold, the absolute value is taken, and the ratio is calculated with the irrigation demand threshold to obtain the demand difference; The demand differences corresponding to all demand sub-areas are added together to obtain the total demand difference. The demand analysis value is obtained by multiplying the low demand quantity by the total low demand.

8. The method for optimizing the layout of an agricultural irrigation pipe network system according to claim 5, characterized in that: The method for obtaining the positioning coordinates corresponding to the low-demand sub-area is as follows: The image of the agricultural irrigation area is converted into an agricultural irrigation coordinate system based on the ground feature information of the irrigation area through view conversion technology; All target sub-area positions in the agricultural irrigation coordinate system are marked to obtain multiple positioning coordinates, and the positioning coordinates corresponding to the low-demand sub-area are extracted.

9. The method for optimizing the layout of an agricultural irrigation pipe network system according to claim 5, characterized in that: The order of low-demand sub-areas is obtained as follows: Connect the corresponding positioning coordinates of all low-demand sub-areas with straight lines to obtain a closed graph; Compare all water source distances, select the minimum water source distance, and take the low-demand sub-area corresponding to the minimum water source distance as the first low-demand sub-area; Obtain the distance between the adjacent low-demand sub-regions of the first low-demand sub-region, filter out the minimum distance value, and use the low-demand sub-region corresponding to the minimum distance value as the second low-demand sub-region; All low-demand sub-areas in the agricultural irrigation area are traversed until the last low-demand sub-area is obtained, and the low-demand sub-areas are sorted from large to small according to the distance between the low-demand sub-areas to obtain the low-demand sub-area sorting.

10. The method for optimizing the layout of an agricultural irrigation pipe network system according to claim 5, characterized in that: The process of optimizing the irrigation network layout is as follows: The distances between all low-demand sub-areas are calculated by ratio to the perimeter of the agricultural irrigation area, and the variance is calculated to obtain the distance variance value; Calculate the variance of the demand differences corresponding to all low-demand sub-areas to obtain the demand variance value; Add the distance variance value and the demand variance value together to obtain the analysis value; The analysis value is compared with the analysis threshold, and the process is as follows; If the analysis value is greater than the analysis threshold, a branch design signal is generated, and a branch network design is performed for the agricultural irrigation area based on the branch design signal; If the analysis value is less than or equal to the analysis threshold, a ring design signal is generated, and a ring-shaped pipe network is designed for the agricultural irrigation area based on the ring design signal.

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