A method for calculating the manure land carrying capacity of large-scale farms

Abstract

The present invention relates to the technical field of breeding digitization, and particularly relates to a method for calculating the manure land carrying capacity of large-scale farms, including: determining the measurement area and constructing a regional model corresponding to the measurement area. Collect the position points of the breeding objects in the measurement area at set time intervals within a preset time, and mark all the collected position points in the regional model. Conduct cluster analysis on the position points in the regional model to obtain aggregated samples. For each aggregated sample, construct a minimum rectangular area that can completely contain the corresponding aggregated sample. Calculate the manure land carrying capacity of each minimum rectangular area respectively according to the number of breeding objects in each minimum rectangular area. It can be optimized for large-scale breeding when calculating the manure land carrying capacity, reduce the probability that the calculation result does not match the actual breeding situation, and provide important reference information for management work.

Description

Technical Field

[0001] The present invention relates to the technical field of breeding digitization, and more particularly, to a method for calculating the manure land carrying capacity of large-scale farms. Background Art

[0002] In the breeding work, it is necessary to calculate the manure land carrying capacity to ensure the sustainable development and virtuous cycle of the breeding work.

[0003] For large-scale breeding, due to the large breeding base and large breeding site area involved, the calculation work of the manure land carrying capacity is more difficult, and there are often problems where the calculation results are quite different from the actual breeding situation.

[0004] In view of this, the present application is specifically proposed. Summary of the Invention

[0005] The purpose of the present invention is to provide a method for calculating the manure land carrying capacity of large-scale farms, which can be optimized for large-scale breeding when calculating the manure land carrying capacity, reduce the probability that the calculation results do not match the actual breeding situation, improve the credibility of the calculation of the manure land carrying capacity, and can provide important reference information for the management of the manure land carrying capacity of large-scale breeding.

[0006] The embodiments of the present invention are implemented as follows:

[0007] A method for calculating the manure land carrying capacity of large-scale farms includes the following steps:

[0008] S1. Determine the measurement area and construct a regional model corresponding to the measurement area. Collect the position points of the breeding objects in the measurement area at set time intervals within a preset time, and mark all the collected position points in the regional model.

[0009] S2. Perform clustering analysis on the position points in the regional model to obtain aggregated samples. For each aggregated sample, construct a minimum rectangular area that can completely contain the corresponding aggregated sample.

[0010] S3. Calculate the manure land carrying capacity of each minimum rectangular area respectively according to the number of breeding objects in each minimum rectangular area.

[0011] Further, the method for calculating the manure land carrying capacity of large-scale farms further includes the following steps:

[0012] S4. Determine the aggregation range of the breeding objects in each minimum rectangular area.

[0013] S5. Identify the identities of the aquaculture objects and distinguish the location points of each aquaculture object based on the identity labels. Compare the minimum rectangular areas pairwise to determine the aquaculture objects that have appeared in both of the two minimum rectangular areas as active objects. Determine the activity ranges of the active objects in each minimum rectangular area based on their location points.

[0014] S6. In each minimum rectangular area, construct a first connection line between the geometric midpoint of the minimum rectangular area and the geometric midpoint of the aggregation range, and construct a second connection line between the geometric midpoint of the aggregation range and the geometric midpoint of the activity range.

[0015] S7. Calculate the value of the trend degree The trend degree is used to characterize the trend of the aquaculture objects in the aggregation range moving towards the side away from the geometric midpoint of the minimum rectangular area. The larger the value of the trend degree , the greater the moving trend, and vice versa. Among them, , , and are all coefficients, L is the length of the diagonal of the minimum rectangular area, is a constant, is the distance between the geometric midpoint of the minimum rectangular area and the geometric midpoint of the aggregation range, is the radian of the angle between the first connection line and the second connection line, is the length of the part of the second connection line outside the aggregation range and the activity range. Further, the method for calculating the manure land carrying capacity of a large-scale aquaculture farm further includes the following steps:

[0016] S8. For two minimum rectangular areas, determine the movement path of the active object according to the location points of the corresponding active object between the two minimum rectangular areas.

[0017] S9. Set a reference threshold. When the value of the trend degree of a certain minimum rectangular area is greater than the reference threshold, construct a reference line. The length of the reference line is equal to the length of the diagonal of the minimum rectangular area. Scan the reference line along the corresponding movement path. During the scanning process, keep the reference line perpendicular to the corresponding movement path and keep the midpoint of the reference line on the corresponding movement path. The area covered by the reference line scanning is used as the key area. Along the corresponding movement path, divide the key area into several unit areas at a preset unit length, and calculate the manure land carrying capacity of each unit area respectively.

[0018] Further, in S4, the aggregation range is the area range where the distribution density of the location points is greater than the density threshold.

[0019] The beneficial effects of the technical solution of the embodiment of the present invention include:

[0020] The method for calculating the manure land carrying capacity of large-scale farms provided by the embodiments of the present invention can focus on the manure land carrying capacity at the aggregation locations of breeding objects within the measurement area, avoiding local pressure overload caused by the local aggregation of breeding objects. For the area outside the smallest rectangular area within the measurement area, the soil and vegetation therein can be maintained according to the activity trends of the breeding objects to improve the overall land carrying capacity of the measurement area.

[0021] Generally speaking, the method for calculating the manure land carrying capacity of large-scale farms provided by the embodiments of the present invention can be optimized for large-scale breeding when calculating the manure land carrying capacity, reduce the probability that the calculation results do not match the actual breeding situation, improve the credibility of the manure land carrying capacity calculation, and can provide important reference information for the management of the manure land carrying capacity of large-scale breeding. Description of the Drawings

[0022] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as limiting the scope. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative efforts.

[0023] Figure 1 It is a schematic diagram of the regional model;

[0024] Figure 2 It is a schematic diagram of the smallest rectangular area;

[0025] Figure 3 It is a schematic diagram of the aggregation range and activity range in the smallest rectangular area;

[0026] Figure 4 It is a schematic diagram of constructing the first connection line and the second connection line;

[0027] Figure 5 It is a schematic diagram of the movement trend of the aggregation range J1 of the smallest rectangular area A.

[0028] Description of the Reference Numerals:

[0029] Regional model Q; smallest rectangular area A; aggregation range J1; activity range H1; activity range H2; smallest rectangular area B; aggregation range J2; activity range H3; smallest rectangular area C; aggregation range J3; activity range H4. Detailed Embodiments

[0030] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Components of the embodiments of the present invention generally described and illustrated in the accompanying drawings here can be arranged and designed in various different configurations.

[0031] Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed present invention, but merely represents selected embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts fall within the scope of protection of the present invention.

[0032] It should be noted that like reference numerals and letters denote like items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings.

[0033] As shown in this specification and the claims, unless the context clearly indicates otherwise, words such as "a" and "the" are not specifically singular and may also include the plural. Generally speaking, the terms "comprising" and "including" only indicate the inclusion of the clearly identified steps and elements, and these steps and elements do not constitute an exclusive list. The method or device may also include other steps or elements.

[0034] The flowcharts used in this specification are used to illustrate the operations performed by the system according to the embodiments of this specification. It can be understood that the operations of each step do not necessarily need to be precisely executed in sequence. On the contrary, they can be executed in reverse order or simultaneously. At the same time, other operations can also be added to these processes, or one or several steps of operations can be removed from these processes.

[0035] The inventors of the present application have found through research that for large-scale farming, due to the large number of farming objects and the large area of the farming site involved, during the farming process, the farming objects are not evenly distributed in the farming site, but instead often exhibit an aggregation phenomenon, often concentrated in one or several areas of the farming site. This results in a relatively large land bearing pressure in the aggregation area. If the mobility of the farming objects is poor, the land bearing pressure in the aggregation area will be further amplified.

[0036] When calculating the land bearing capacity of manure in the prior art, it is often based on an ideal model in which the farming objects are evenly distributed in the farming site. Therefore, there may be a significant error between the calculation results of the prior art and the actual farming situation (especially large-scale farming).

[0037] In order to overcome the deficiencies in the prior art, this embodiment provides a method for calculating the manure land carrying capacity of large-scale farms, which includes the following steps:

[0038] S1. Determine the measurement area and construct a regional model corresponding to the measurement area. The area of the measurement area can be adjusted according to actual needs, for example, adaptively adjusted according to the breeding scale. The regional model is a digital model corresponding to the measurement area. Taking a rectangular measurement area as an example, the regional model is also rectangular, as shown by the regional model Q in Figure 1 .

[0039] At preset time (the length of the preset time can be flexibly adjusted according to actual needs), collect the position points of the breeding objects in the measurement area at set time intervals (the position points can be obtained according to positioning devices, and this is not limited to this). Mark all the collected position points in the regional model, that is, mark all the position points collected within the preset time in the regional model, as shown in Figure 1 . Each dot represents a position point. Each breeding object can have multiple position points at the same time, and the number of position points of each breeding object is related to the number of collection times.

[0040] S2. Conduct cluster analysis on the position points in the regional model to obtain aggregated samples. For each aggregated sample, construct a minimum rectangular area so that the minimum rectangular area can completely contain the corresponding aggregated sample, as shown in Figure 2 . After cluster analysis, 3 aggregated samples are obtained, corresponding to the minimum rectangular area A, the minimum rectangular area B, and the minimum rectangular area C respectively.

[0041] Among them, the clustering rules can be flexibly adjusted according to actual needs. For some sporadically distributed position points, they can be not included in the minimum rectangular area. For example, the position points in area D1 and area D2 in Figure 2 , because these sporadically distributed breeding objects usually do not have an obvious impact on the land bearing pressure.

[0042] S3. Calculate the manure land carrying capacity of each minimum rectangular area according to the number of breeding objects in each minimum rectangular area. In other words, in each minimum rectangular area, the breeding objects in it basically move within this minimum rectangular area. Therefore, these breeding objects will basically have an impact on the manure land carrying capacity of this minimum rectangular area.

[0043] Through the above design, the manure land carrying capacity of the aggregated positions of the breeding objects in the measurement area can be focused on, avoiding local pressure overload caused by the local aggregation of breeding objects. For the areas outside the minimum rectangular areas in the measurement area, the soil and vegetation therein can be maintained according to the activity trends of the breeding objects to improve the overall land carrying capacity of the measurement area.

[0044] Generally speaking, the method for calculating the manure land carrying capacity of large-scale farms provided in this embodiment can be optimized for large-scale farming when calculating the manure land carrying capacity, reduce the probability that the calculation result does not match the actual farming situation, improve the credibility of the calculation of the manure land carrying capacity, and can provide important reference information for the management of the manure land carrying capacity of large-scale farming.

[0045] Furthermore, the method for calculating the manure land carrying capacity of large-scale farms further includes the following steps:

[0046] S4. In each minimum rectangular area, determine the aggregation range of the farming objects. A density threshold can be set. In the minimum rectangular area, the area range where the distribution density of the position points is greater than the density threshold (which can be flexibly set according to actual needs) is taken as the aggregation range. Such as Figure 3 the aggregation ranges J1, J2, and J3 in

[0047] S5. Label the identities of the farming objects. In this way, the position points of the farming objects can have identity labels, and the position points of each farming object can be distinguished according to the identity labels, that is, it is known which farming object each position point corresponds to.

[0048] Compare the minimum rectangular areas pairwise to determine the farming objects that have appeared in both of these two minimum rectangular areas, that is, the position points of the same farming object have appeared in both of these two minimum rectangular areas. This can be determined according to the identity labels of the farming objects, and the corresponding farming objects are taken as the active objects. Determine the activity range of the active objects in each minimum rectangular area according to the position points of the active objects. Such as Figure 3 the activity ranges H1, H2, H3, and H4 in

[0049] S6. In each minimum rectangular area, construct a first connection line between the geometric midpoint of the minimum rectangular area and the geometric midpoint of the aggregation range, and construct a second connection line between the geometric midpoint of the aggregation range and the geometric midpoint of the activity range. As shown in Figure 4 (for the convenience of reading, Figure 4The position points in it are omitted). In the smallest rectangular area A, the geometric midpoint of the smallest rectangular area A is point d1, the geometric midpoint of the aggregation range J1 is point d2, the geometric midpoint of the activity range H1 is point d3, and the geometric midpoint of the activity range H2 is point d4. In the smallest rectangular area B, the geometric midpoint of the smallest rectangular area B is point d5, the geometric midpoint of the aggregation range J2 is point d6, and the geometric midpoint of the activity range H3 is point d7. In the smallest rectangular area C, the geometric midpoint of the smallest rectangular area C is point d8, the geometric midpoint of the aggregation range J3 is point d9, and the geometric midpoint of the activity range H4 is point d10. S7. Calculate the trend degree value, and the trend degree is used to characterize the trend that the aquaculture objects in the aggregation range move towards the side away from the geometric midpoint of the smallest rectangular area. As Figure 5 shown, taking the smallest rectangular area A as an example, the trend degree represents the trend that the aquaculture objects in the aggregation range J1 move towards the side away from the geometric midpoint of the smallest rectangular area (the direction indicated by the dotted arrow in the figure).

[0050] The trend degree The larger the value, the greater the trend that the aquaculture objects in the corresponding aggregation range move towards the side away from the geometric midpoint of the smallest rectangular area. For aquaculture managers, they need to focus on whether the land carrying capacity on the side of the aggregation range away from the geometric midpoint of the smallest rectangular area can meet the aquaculture carrying needs of the aquaculture objects in the aggregation range. The trend degree The smaller the value, the smaller the moving trend.

[0051] Managers can determine the measurement order of the land carrying capacity on the side of the aggregation range away from the geometric midpoint of the smallest rectangular area according to the magnitude order of the trend degree values of the aggregation ranges of different smallest rectangular areas. They can also set a trend degree threshold. For those exceeding the trend degree threshold, they should give priority to measuring the land carrying capacity on the side of the aggregation range away from the geometric midpoint of the smallest rectangular area.

[0052] Among them, .

[0053] In the above formula, , and are all coefficients (which can be flexibly set according to actual needs), L is the length of the diagonal of the smallest rectangular area, is a constant (which can be flexibly set according to actual needs), is the distance between the geometric midpoint of the smallest rectangular area and the geometric midpoint of the aggregation range, is the radian of the included angle between the first connection line and the second connection line, is the length of the part of the second connection line outside the aggregation range and the activity range, as Figure 5 shown.

[0054] Through the above design, in the management work of large-scale breeding, important reference data can be provided for the work of managers, reducing the blindness of management by managers and improving management efficiency.

[0055] Furthermore, the method for calculating the manure land carrying capacity of a large-scale breeding farm further includes the following steps:

[0056] S8. For two minimum rectangular areas, determine the movement path of the moving object according to the position points of the corresponding moving object between the two minimum rectangular areas. As Figure 2 and Figure 4 shown, for the minimum rectangular area A and the minimum rectangular area B, if the position points in the area D1 are all the position points of the breeding objects within the activity range H1 and the activity range H3, then the movement path S1 of the breeding objects when moving between the activity range H1 and the activity range H3 can be determined according to the position points in the area D1. Similarly, the movement path S2 when moving between the activity range H2 and the activity range H4 can be determined.

[0057] S9. Set a reference threshold (which can be flexibly set according to actual needs). When the trend degree value of the aggregation range of a certain minimum rectangular area is greater than the reference threshold, construct a reference line. The length of the reference line is equal to the length of the diagonal of the minimum rectangular area. Scan the reference line along the corresponding movement path. During the scanning process, keep the reference line perpendicular to the corresponding movement path and keep the midpoint of the reference line on the corresponding movement path. The area covered by the reference line scanning is used as the key area. Along the corresponding movement path, divide the key area into several unit areas according to a preset unit length (which can be flexibly set according to actual needs), and calculate the manure land carrying capacity of each unit area respectively.

[0058] Through this design, when the trend degree value is greater than the reference threshold, it indicates that there is a high probability that the breeding objects in this minimum rectangular area will move along the movement path of the corresponding activity range, so that the land carrying capacity along the way can be calculated in advance to ensure the reliability of the land carrying capacity during the movement of the breeding objects.

[0059] In summary, the method for calculating the manure land carrying capacity of a large-scale breeding farm provided by the embodiments of the present invention can be optimized for large-scale breeding when calculating the manure land carrying capacity, reduce the probability that the calculation result does not match the actual breeding situation, improve the credibility of the calculation of the manure land carrying capacity, and can provide important reference information for the management work of the manure land carrying capacity of large-scale breeding.

[0060] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A method for calculating the carrying capacity of land for manure and sewage in large-scale breeding farms, characterized in that: The steps include: S1. Determine a measurement area and construct a regional model corresponding to the measurement area; collect location points of the breeding objects in the measurement area at set time intervals within a preset time, and mark all the collected location points in the regional model; S2, performing cluster analysis on the location points in the regional model to obtain clustered samples; Constructing a minimum rectangular area for each of the clustered samples, so that the minimum rectangular area can completely contain the corresponding clustered sample; S3, according to the number of the breeding objects in each of the minimum rectangular areas, respectively calculating the manure and sewage carrying capacity of each of the minimum rectangular areas; S4. Determine the aggregation range of the breeding objects in each of the minimum rectangular areas; S5, marking the identities of the breeding objects, and distinguishing the location points of each breeding object according to the identity markings; Compare the minimum rectangular areas in pairs to determine the farmed objects that appear in both minimum rectangular areas as active objects; determine the activity range of the active objects in each of the minimum rectangular areas according to the position points of the active objects; S6. In each of the minimum rectangular areas, a first connecting line is constructed between the geometric midpoint of the minimum rectangular area and the geometric midpoint of the gathering range, and a second connecting line is constructed between the geometric midpoint of the gathering range and the geometric midpoint of the activity range; S7. Calculate trend The value of the trend It is used to characterize the tendency of the farmed objects within the aggregation range to move toward the side away from the geometric midpoint of the minimum rectangular area. The larger the value of is, the greater the moving trend is, and vice versa. , , and are coefficients, L is the length of the diagonal of the minimum rectangular area, is a constant, is the distance between the geometric midpoint of the minimum rectangular area and the geometric midpoint of the aggregation range, is the radian of the angle between the first connecting line and the second connecting line, The length of the portion of the second connecting line outside the gathering range and the activity range; S8. For the two minimum rectangular areas, determine the moving path of the active object according to the position point of the corresponding active object between the two minimum rectangular areas; S9, setting a reference threshold, when the trend degree of a certain minimum rectangular area When the value of is greater than the reference threshold, a reference line is constructed, wherein the length of the reference line is equal to the length of the diagonal of the minimum rectangular area, and the reference line is scanned along the corresponding moving path. During the scanning process, the reference line is kept perpendicular to the corresponding moving path, and the midpoint of the reference line is kept on the corresponding moving path. The area scanned by the reference line is taken as the key area; along the corresponding moving path, the key area is divided into a number of unit areas according to a preset unit length, and the manure land carrying capacity of each unit area is calculated respectively.

2. The method for calculating the carrying capacity of land for manure and sewage in large-scale breeding farms according to claim 1 is characterized in that: In S4, the clustering range is an area range where the location point distribution density is greater than a density threshold.

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