Method for measuring and calculating fecal land bearing capacity of large-scale farm

Abstract

The invention relates to the technical field of breeding digitization, in particular to a method for measuring and calculating fecal land bearing capacity of a large-scale farm, which comprises the following steps: determining a measuring and calculating area, and constructing an area model corresponding to the measuring and calculating area. And acquiring the position points of the breeding objects in the measurement and calculation area according to a set time interval within a preset time, and marking all the acquired position points in the area model. And carrying out clustering analysis on the position points in the region model to obtain aggregated samples. And constructing a minimum rectangular region for each aggregated sample, so that the minimum rectangular region can completely contain the corresponding aggregated sample. According to the number of the breeding objects in each minimum rectangular area, the fecal soil bearing capacity of each minimum rectangular area is measured and calculated. According to the method, large-scale cultivation can be optimized when the fecal land bearing capacity is measured and calculated, the probability that the measurement and calculation result does not conform to the actual cultivation condition is reduced, and important reference information is provided for management work.

Description

Technical Field

[0001] The present invention relates to the field of digital aquaculture technology, and in particular to a method for calculating the carrying capacity of land containing manure and sewage in large-scale aquaculture farms. Background Art

[0002] In animal husbandry, it is necessary to calculate the carrying capacity of land for manure and sewage to ensure the sustainable development and virtuous cycle of animal husbandry.

[0003] For large-scale farming, the calculation of the carrying capacity of land for manure and sewage is difficult because of the large number of farmers involved and the large area of ​​farming sites. There is often a large difference between the calculated results and the actual farming situation.

[0004] In view of this, this application is hereby filed. Summary of the invention

[0005] The purpose of the present invention is to provide a method for calculating the carrying capacity of manure land in large-scale breeding farms, which can optimize large-scale breeding when calculating the carrying capacity of manure land, reduce the probability that the calculated results are inconsistent with the actual breeding conditions, improve the credibility of the calculation of the carrying capacity of manure land, and provide important reference information for the management of the carrying capacity of manure land in large-scale breeding.

[0006] The embodiment of the present invention is achieved as follows: A method for calculating the carrying capacity of land for manure and sewage in large-scale breeding farms comprises the following steps: S1. Determine the measurement area and construct a regional model corresponding to the measurement area. Collect the 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.

[0007] S2. Perform cluster analysis on the location points in the regional model to obtain cluster samples. Construct a minimum rectangular area for each cluster sample so that the minimum rectangular area can completely contain the corresponding cluster sample.

[0008] S3. According to the number of breeding objects in each minimum rectangular area, the manure and sewage carrying capacity of each minimum rectangular area is calculated separately.

[0009] Furthermore, the method for calculating the carrying capacity of land for manure and sewage in large-scale farms also includes the following steps: S4. Determine the aggregation range of the breeding objects in each minimum rectangular area.

[0010] S5. Label the identities of the breeding objects and distinguish the location points of each breeding object according to the identity labels. Compare the minimum rectangular areas in pairs to determine the breeding objects that appear in the two minimum rectangular areas as active objects. Determine the activity range of the active object in each minimum rectangular area according to the location points of the active object.

[0011] S6. In each minimum rectangular area, a first line is constructed between the geometric midpoint of the minimum rectangular area and the geometric midpoint of the aggregation range, and a second line is constructed between the geometric midpoint of the aggregation range and the geometric midpoint of the activity range.

[0012] S7. Calculate trend The value of trend It is used to characterize the tendency of the aquaculture 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 angle between the first and second connecting lines in radians, is the length of the second connecting line outside the gathering range and the activity range. Further, the method for calculating the carrying capacity of land for manure and sewage in large-scale breeding farms also includes the following steps: S8. For two minimum rectangular areas, determine a moving path of the active object according to a position point of the corresponding active object between the two minimum rectangular areas.

[0013] S9, set the reference threshold, when the trend of a certain minimum rectangular area When the value is greater than the reference threshold, a reference line is constructed, the length of which 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 covered by the reference line scanning is taken as the key area. Along the corresponding moving path, the key area is divided into several unit areas according to the preset unit length, and the manure land carrying capacity of each unit area is calculated respectively.

[0014] Furthermore, in S4, the aggregation range is the area range where the location point distribution density is greater than the density threshold.

[0015] The beneficial effects of the technical solution of the embodiment of the present invention include: The method for calculating the land carrying capacity of manure and sewage in large-scale breeding farms provided by the embodiment of the present invention can focus on the land carrying capacity of manure and sewage at the gathering location of breeding objects in the measurement area to avoid local pressure overload caused by the local gathering of breeding objects. For areas outside the minimum rectangular area in the measurement area, the soil and vegetation therein can be maintained according to the activity trend of the breeding objects to improve the overall land carrying capacity of the measurement area.

[0016] In general, the method for calculating the carrying capacity of manure land in large-scale breeding farms provided by the embodiment of the present invention can optimize large-scale breeding when calculating the carrying capacity of manure land, reduce the probability that the calculated results are inconsistent with the actual breeding conditions, improve the credibility of the calculation of the carrying capacity of manure land, and provide important reference information for the management of the carrying capacity of manure land in large-scale breeding. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0018] Figure 1 is a schematic diagram of the regional model; Figure 2 is a schematic diagram of the minimum rectangular area; Figure 3 It is a schematic diagram of the gathering range and activity range in the smallest rectangular area; Figure 4 A schematic diagram for constructing a first connection line and a second connection line; Figure 5 It is a schematic diagram of the moving trend of the aggregation range J1 of the minimum rectangular area A.

[0019] Description of reference numerals: Area model Q; minimum rectangular area A; aggregation range J1; activity range H1; activity range H2; minimum rectangular area B; aggregation range J2; activity range H3; minimum rectangular area C; aggregation range J3; activity range H4. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0021] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0023] As shown in this specification and claims, unless the context clearly provides an example, the words "a", "an", "the", etc. do not refer to the singular, but also include the plural. Generally speaking, the terms "include" and "comprise" only indicate the inclusion of the steps and elements that have been clearly identified, and these steps and elements do not constitute an exclusive list. The method or device may also include other steps or elements.

[0024] The flowcharts used in this specification are used to illustrate the operations performed by the system according to the embodiments of this specification. It is understood that the operations of each step are not necessarily performed precisely in order. On the contrary, the steps can be processed in reverse order or simultaneously. At the same time, other operations can also be added to these processes, or one or more operations can be removed from these processes.

[0025] The inventor of this application has found that for large-scale farming, due to the large number of farming objects involved and the large area of ​​the farming site, during the farming process, the farming objects are not evenly distributed in the farming site, but often clustered, often concentrated in one or several areas of the farming site. This leads to a relatively large land bearing pressure in the clustered area. If the activity of the farming objects is poor, the land bearing pressure in the clustered area will be further amplified.

[0026] However, existing technologies for calculating the carrying capacity of land for manure and sewage are often based on an ideal model in which the breeding objects are evenly distributed in the breeding site. Therefore, there may be obvious errors between the calculation results of existing technologies and the actual breeding conditions (especially large-scale breeding).

[0027] In order to overcome the deficiencies in the prior art, this embodiment provides a method for calculating the carrying capacity of land with manure and sewage in a large-scale breeding farm, which comprises the following steps: 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, adaptive adjustment can be made according to the scale of breeding. The regional model is a digital model corresponding to the measurement area. If the measurement area is rectangular, the regional model is also rectangular, such as Figure 1 The regional model Q is shown in .

[0028] The location points of the breeding objects in the measurement area are collected at set time intervals within a preset time (the length of the preset time can be flexibly adjusted according to actual needs) (the location points can be obtained according to the positioning device, but not limited to this), and all the collected location points are marked in the regional model, that is, all the location points collected within the preset time are marked in the regional model, such as Figure 1 As shown, each dot represents a location point. Each breeding object can have multiple location points at the same time, and the number of location points of each breeding object is related to the number of collection times.

[0029] S2. Perform cluster analysis on the location points in the regional model to obtain cluster samples. Construct a minimum rectangular area for each cluster sample so that the minimum rectangular area can completely contain the corresponding cluster sample, such as Figure 2 As shown, three cluster samples are obtained after cluster analysis, corresponding to the minimum rectangular area A, the minimum rectangular area B and the minimum rectangular area C respectively.

[0030] The clustering rules can be flexibly adjusted according to actual needs. For some scattered location points, they may not be included in the minimum rectangular area, for example Figure 2 The locations in areas D1 and D2 are selected because these scattered aquaculture objects usually do not have a significant impact on land carrying pressure.

[0031] S3. According to the number of breeding objects in each minimum rectangular area, the manure land carrying capacity of each minimum rectangular area is calculated respectively. In other words, in each minimum rectangular area, the breeding objects are basically active in this minimum rectangular area, so these breeding objects will basically affect the manure land carrying capacity of this minimum rectangular area.

[0032] Through the above design, we can focus on the manure land carrying capacity of the gathering locations of breeding objects in the measurement area to avoid local pressure overload caused by the local gathering of breeding objects. For areas outside the minimum rectangular area in the measurement area, the soil and vegetation therein can be maintained according to the activity trend of the breeding objects to improve the overall land carrying capacity of the measurement area.

[0033] In general, the method for calculating the carrying capacity of manure land in large-scale breeding farms provided in this embodiment can optimize large-scale breeding when calculating the carrying capacity of manure land, reduce the probability that the calculated results are inconsistent with the actual breeding conditions, improve the credibility of the calculation of the carrying capacity of manure land, and provide important reference information for the management of the carrying capacity of manure land in large-scale breeding.

[0034] Furthermore, the method for calculating the carrying capacity of land for manure and sewage in large-scale farms also includes the following steps: S4. Determine the aggregation range of the breeding objects in each minimum rectangular area. A density threshold can be set. Within the minimum rectangular area, the area where the distribution density of the location points is greater than the density threshold (which can be flexibly set according to actual needs) is used as the aggregation range. Figure 3 The aggregation range J1, aggregation range J2 and aggregation range J3 in the.

[0035] S5. Perform identity tagging on the breeding objects. In this way, the location points of the breeding objects can have identity tags, and the location points of each breeding object can be distinguished according to the identity tags, that is, it is known which breeding object each location point corresponds to.

[0036] Compare the minimum rectangular areas in pairs to determine the breeding objects that appear in both minimum rectangular areas, that is, the location points of the same breeding object appear in both minimum rectangular areas. This can be determined based on the identity of the breeding object, and the corresponding breeding object is used as the active object. The activity range of the active object in each minimum rectangular area is determined based on the location points of the active object. Figure 3 The activity ranges H1, H2, H3 and H4 are included in the activity ranges, wherein the activity objects in the activity ranges H1 and H3 are the same, and the activity objects in the activity ranges H2 and H4 are the same.

[0037] S6. In each minimum rectangular area, a first connection line is constructed between the geometric midpoint of the minimum rectangular area and the geometric midpoint of the aggregation range, and a second connection line is constructed between the geometric midpoint of the aggregation range and the geometric midpoint of the activity range. Figure 4 As shown (for ease of reading, Figure 4The position points in the minimum rectangular area are omitted). In the minimum rectangular area A, the geometric midpoint of the minimum 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 minimum rectangular area B, the geometric midpoint of the minimum 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 minimum rectangular area C, the geometric midpoint of the minimum 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 The value of trend It is used to characterize the tendency of the aquaculture objects within the aggregation range to move toward the side away from the geometric midpoint of the minimum rectangular area, such as Figure 5 As shown, taking the minimum rectangular area A as an example, the trend degree It represents the tendency of the farmed objects within the aggregation range J1 to move toward the side away from the geometric midpoint of the minimum rectangular area (the direction indicated by the dotted arrow in the figure).

[0038] Trend The larger the value, the greater the tendency of the aquaculture objects in the corresponding aggregation range to move toward the side away from the geometric midpoint of the minimum rectangular area. For aquaculture managers, it is necessary to focus on whether the land carrying capacity on the side of the aggregation range away from the geometric midpoint of the minimum rectangular area can meet the aquaculture carrying capacity needs of the aquaculture objects in the aggregation range. Trend degree The smaller the value, the smaller the movement trend.

[0039] Managers can use different minimum rectangular areas to determine the trend of the aggregation range. The order of calculating the carrying capacity of the land on the side of the clustering range far from the geometric midpoint of the minimum rectangular area is determined by the order of the values. A trend threshold can also be set. For those exceeding the trend threshold, the carrying capacity of the land on the side of the clustering range far from the geometric midpoint of the minimum rectangular area is calculated first.

[0040] in, .

[0041] In the above formula, , and are coefficients (which can be set flexibly according to actual needs), L is the length of the diagonal of the minimum rectangular area, is a constant (which can be set flexibly according to actual needs), is the distance between the geometric midpoint of the minimum rectangular area and the geometric midpoint of the aggregation range, is the angle between the first and second connecting lines in radians, is the length of the second line outside the gathering range and the activity range, such as Figure 5 shown.

[0042] Through the above design, in the management of large-scale breeding, it can provide important reference data for managers' work, reduce the management blindness of managers, and improve management efficiency.

[0043] Furthermore, the method for calculating the carrying capacity of land for manure and sewage in large-scale farms also includes the following steps: S8. For 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. Figure 2 and Figure 4 As shown, for the minimum rectangular area A and the minimum rectangular area B, if the position points in area D1 are all position points of the farmed objects within the activity range H1 and the activity range H3, the moving path S1 of the farmed objects when they move between the activity range H1 and the activity range H3 can be determined based on the position points in area D1. Similarly, the moving path S2 when they move between the activity range H2 and the activity range H4 can be determined.

[0044] S9, set the reference threshold (which can be flexibly set according to actual needs), when the trend of the aggregation range of a certain minimum rectangular area When the value is greater than the reference threshold, a reference line is constructed, the length of which 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 covered by the reference line scanning is taken as the key area. Along the corresponding moving path, the key area is divided into several unit areas according to the preset unit length (which can be flexibly set according to actual needs), and the manure land carrying capacity of each unit area is calculated respectively.

[0045] Through this design, when the trend When the value is greater than the reference threshold, it means that the breeding objects in the minimum rectangular area have a high probability of moving along the moving path of the corresponding activity range. In this way, the carrying capacity of the land along the way can be calculated in advance to ensure the reliability of the land carrying capacity of the breeding objects during the movement.

[0046] To sum up, the method for calculating the carrying capacity of manure land in large-scale breeding farms provided by the embodiment of the present invention can optimize large-scale breeding when calculating the carrying capacity of manure land, reduce the probability that the calculation results are inconsistent with the actual breeding conditions, improve the credibility of the calculation of the carrying capacity of manure land, and provide important reference information for the management of the carrying capacity of manure land in large-scale breeding.

[0047] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in 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, the manure and sewage carrying capacity of each of the minimum rectangular areas 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: The method for calculating the carrying capacity of land with manure from large-scale breeding farms also includes the following steps: 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; in, , , 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, is the length of the portion of the second connecting line outside the gathering range and the activity range.

3. The method for calculating the carrying capacity of land with manure in large-scale breeding farms according to claim 2 is characterized in that: The method for calculating the carrying capacity of land with manure from large-scale breeding farms also includes the following steps: 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.

4. The method for calculating the carrying capacity of land for manure and sewage in large-scale breeding farms according to claim 3 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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