Assisted quantity statistical method for animal husbandry breeding fences

Abstract

The invention discloses an animal husbandry breeding fence auxiliary quantity statistical method, and relates to the technical field of animal husbandry breeding, and three groups of algorithm units cooperate with one another to jointly form a core architecture of the animal husbandry breeding fence auxiliary quantity statistical method. According to the method, a plurality of influence factors such as the number of captive livestock, the climate condition of a livestock site and the service life of the fence are comprehensively considered, the fence estimated demand F3 under the area Su of a single breeding unit is calculated, compared with a traditional manual statistics method, the subjectivity and uncertainty of manual judgment are reduced, the accuracy of a statistical result is improved, and the calculation efficiency is improved. According to the method, climate adjusting factors are introduced into statistical calculation, the number of fences can be increased in seasons with large climate influence, damage to the fences caused by the climate factors is reduced, the stability of animal husbandry production is improved, and the long-term stable fence demand calculation statistical method is beneficial to optimizing production resources and improving the sustainable development level of animal husbandry.

Description

Technical Field

[0001] The invention relates to the technical field of animal husbandry, and in particular to an auxiliary quantity counting method for animal husbandry fences. Background Art

[0002] Animal husbandry is the use of the physiological functions of domesticated animals such as livestock and poultry, or wild animals such as deer, musk deer, foxes, minks, otters, and quails, through artificial breeding and reproduction, to transform plant energy such as forage and feed into animal energy, so as to obtain livestock products such as meat, eggs, milk, wool, cashmere, hides, silk, and medicinal materials. Different from self-sufficient livestock breeding, the main characteristics of animal husbandry are centralization, scale, and profit-making as the production purpose.

[0003] In the current animal husbandry, cattle, sheep, pigs, alpacas and other livestock need to be kept in fences to keep them moving within a certain range for easy breeding. When fences are used for confinement, the number of fences needs to be counted for the convenience of calculating breeding costs. Manual counting often requires a lot of work and is prone to errors, resulting in cost accounting errors.

[0004] In addition, it is difficult to make statistical adjustments to the number of fences required based on the different total heights of fences required for different captive livestock, the different numbers of captive livestock, the climate of the livestock farm, and the service life of the fences. When the number of fences counted is small, it is difficult to withstand extreme climatic conditions, which is not conducive to the sustainable development of animal husbandry. When the number of fences counted is too large, it will result in a waste of fences.

[0005] Therefore, there is an urgent need for an auxiliary quantity counting method for animal husbandry breeding fences to solve the above problems. Summary of the invention

[0006] The purpose of the present invention is to provide a method for auxiliary quantity counting of animal husbandry fences to solve the problems raised in the above-mentioned background technology.

[0007] To achieve the above object, the present invention provides the following technical solutions: an auxiliary number counting method for animal husbandry fences, the statistical method comprising the following steps: collecting the height and length of a single fence when purchasing the fence through a data collection module, and obtaining the area Su of a single breeding unit, the number of animals Na in each breeding unit, and the total height H of the fence required for installation through the animal husbandry planning book, and uploading them to a database; Data preprocessing: the data information in the database is transmitted to the data processing module through the data preprocessing module for decoding preprocessing to obtain the parameters involved in the calculation in the calculation processing module; Statistical calculation of the number of livestock breeding fences, including: Substitute the parameter value obtained after decoding preprocessing into the fence basic demand algorithm unit of the calculation processing module and calculate the basic demand F1 of the fence, and upload it to the database; Substitute the parameter value obtained after decoding preprocessing and the basic demand F1 of the fence calculated in the basic demand algorithm unit into the climate impact algorithm unit of the fence demand in the calculation processing module to calculate the adjusted fence demand F2, and upload it to the database; The calculated adjusted barrier demand F2 is input as an input parameter to the barrier estimated demand algorithm unit of the calculation processing module to calculate the barrier estimated demand F3, and upload it to the database; The estimated demand for fences F3 is the total amount of fences required for a single breeding unit of area Su.

[0008] Optionally, the livestock breeding fence quantity statistical calculation also includes feedback and adjustment in the calculation: In the database, the calculated estimated demand for the fence F3 is compared with the basic demand for the fence F1: when When the ratio is greater than 1.3, it is determined that the estimated reserve of the fence is sufficient, and in the calculation of the basic demand F1 of the fence of the next breeding unit, the value of the adjustment coefficient k in the basic demand algorithm unit of the fence is reduced; when When the ratio is less than 1, it is determined that the estimated reserve of the fence is low. In the calculation of the basic demand F1 of the fence in the next breeding unit, the value of the adjustment coefficient k in the fence basic demand algorithm unit is increased.

[0009] Optionally, the statistical method is run using a data collection module, a data processing module, and a calculation processing module.

[0010] Optionally, the calculation and processing module includes a barrier basic demand algorithm unit, a barrier demand climate impact algorithm unit, and a barrier estimated demand algorithm unit.

[0011] Optionally, the fence foundation demand algorithm unit is as follows: ;

[0012] in: F1 represents the basic demand for fences; Na represents the number of animals in each breeding unit; h represents the height of a single fence; Lf represents the length of a single fence; H represents the total height of the fence required for installation; Su represents the area of ​​a single farming unit; k represents the adjustment coefficient, which can be self-adjusted as the fence foundation demand algorithm unit calculates; In the calculation formula: This part represents the proportion of the farming area covered by the unit length of the fence, where It is the total length of the fence under the assumption that the breeding area is a square, while Lf represents the length of a single fence. This ratio reflects the relationship between the total length of the fence and the area of ​​the breeding area; When the area Su of a single breeding unit increases, while the length Lf of a single fence remains unchanged, The value of this part will increase, which will increase the basic demand F1 of the fence, which means that more fences are needed to cover a larger area. Conversely, when the length Lf of a single fence increases, that is, longer fence segments are used, each fence segment can cover more area. The value will decrease, making the basic requirement F1 of the fence smaller; This part indicates the ratio between the total height H of the fence required during installation and the height h of a single fence. When the total height H of the fence required increases and the height h of a single fence remains unchanged, The value of this part will increase, which will increase the basic demand F1 of the fence, which means that multiple fences need to be stacked to meet the total fence height H required for installation; On the contrary, when the total height H of the fence required for installation remains unchanged, as the height h of a single fence increases, that is, a taller fence is used, then The value of this part will decrease, making the basic requirement F1 of the fence decrease; This part shows the impact of the number of animals on the demand for fences. It uses a logarithmic function to reflect the impact of the number of animals Na in each breeding unit on the basic demand for fences F1, reflecting the nonlinear increase trend of the basic demand for fences F1 when the number of animals increases.

[0013] Optionally, the climate impact algorithm unit of the fence demand is as follows: ;

[0014] in: F2 represents the adjusted fence demand; F1 represents the basic demand for fences; Ws represents wind speed, which is the daily average wind speed in the livestock area during the previous quarter; W max represents the maximum wind speed, which is the maximum wind speed in the livestock area in the previous quarter; Ra stands for rainfall, which is the total rainfall in the previous quarter; Ra max represents the maximum rainfall, which is the highest seasonal rainfall in three years; In the calculation formula: This part represents the climate adjustment factor, which is used to reflect the initial adjustment of the basic demand F1 for the fence due to climate; Specifically: This part represents the influence of wind speed Ws in the climate on the demand for fences. As the wind speed in the livestock area increases, the fences are required to be stronger and more stable in design, and more materials are needed. That is, as the wind speed Ws increases, the adjusted fence demand F2 will also increase; This part represents the impact of rainfall Ra on the demand for fences in the climate. Rainfall will affect the durability of fence materials. A logarithmic function is used to reflect the impact of each rainfall Ra on the adjusted fence demand F2. It is used to reflect the nonlinear increase trend of the adjusted fence demand F2 when the rainfall Ra increases. That is, as the rainfall Ra increases, the corrosion rate of the fence material increases, and the adjusted fence demand F2 will also increase, but the growth rate will gradually slow down to ensure that when the rainfall is large, the increase in fence demand will not be too drastic; By normalizing the influence of wind speed Ws on fence demand and rainfall Ra on fence demand, The value of this part of the climate adjustment factor is always ∈[1,2]. When the wind speed Ws and rainfall Ra in the livestock area are 0, The value of this part takes the lowest value of 1, which means that the climate has no effect on the demand for fences.

[0015] Optionally, the barrier demand estimation algorithm unit is as follows: ;

[0016] in: F3 Fence Estimated Demand represents the estimated fence demand, which is the final fence demand; F2 represents the adjusted fence demand; So represents the age of the fence; Ambient temperature represents the ambient temperature; In the calculation formula: This part reflects the positive impact of the fence service life So on its demand after dividing it by 5. The greater the fence service life So, the greater the estimated fence demand F3 calculated, because as time goes by, the stability of the fence will decrease, so more fences are needed to maintain the function of the fence, that is, for every 5 years of service life, the demand will increase accordingly, which has a positive linear impact on the estimated fence demand F3; This part is obtained by dividing the ambient temperature At by 100 and then adding 1, reflecting the impact of the ambient temperature At on the demand for the fence. As the ambient temperature At increases, the fence material will be affected by corrosion, expansion or aging, and the calculated estimated fence demand F3 will also increase, reflecting the positive impact of the ambient temperature At on the estimated fence demand F3.

[0017] Optionally, the decoding preprocessing includes data cleaning and data standardization.

[0018] Compared with the prior art, the present invention has the following beneficial effects: The present invention forms the core framework of the auxiliary quantity statistics method of animal husbandry fences through the mutual cooperation of three groups of algorithm units. It comprehensively considers multiple influencing factors such as the number of penned livestock, the climatic conditions of the livestock farms and the service life of the fences, and calculates the estimated demand F3 of the fence under the area Su of a single breeding unit. Compared with the traditional manual statistical method, it reduces the subjectivity and uncertainty of human judgment and improves the accuracy of the statistical results. By introducing climate adjustment factors in the statistical calculation, the number of fences can be increased in seasons with greater climate influence. For the weak positions of the fences, such as the windward openings after the fences are enclosed, more fences are installed for reinforcement, thereby reducing the damage to the fences caused by climatic factors and improving the stability of animal husbandry production. This long-term and stable fence demand calculation and statistical method is helpful to optimize production resources and improve the level of sustainable development of animal husbandry.

[0019] The present invention inputs the fence service life So and the ambient temperature At as influencing parameters into the algorithm formula and calculates the estimated fence demand F3. It can reflect the dynamic changes in the demand for fence quantity under different usage cycles and different climatic conditions, ensure the stability and reliability of the fence under different climatic conditions, and more accurately predict the demand for fences in long-term use, providing scientific and reliable data support for the reasonable planning and resource allocation of livestock fences. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 A flowchart of a method for counting the number of livestock breeding fences; Figure 2The figure is a schematic diagram of the overall structure of a livestock breeding fence-assisted quantity counting method. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. 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] For example, see Figure 1 to Figure 2 The present invention provides a method for assisting the counting of livestock breeding fences, comprising the following steps: Data collection: The height and length of a single fence are collected through the data collection module when the fence is purchased, and the area Su of a single breeding unit, the number of animals in each breeding unit Na, and the total height H of the fence required for installation are obtained from the animal husbandry planning book and uploaded to the database; Data preprocessing: the data information in the database is transmitted to the data processing module through the data preprocessing module for decoding preprocessing to obtain the parameters involved in the calculation in the calculation processing module; Statistical calculation of the number of livestock breeding fences, including: Substitute the parameter value obtained after decoding preprocessing into the fence basic demand algorithm unit of the calculation processing module and calculate the basic demand F1 of the fence, and upload it to the database; Substitute the parameter value obtained after decoding preprocessing and the basic demand F1 of the fence calculated in the basic demand algorithm unit into the climate impact algorithm unit of the fence demand in the calculation processing module to calculate the adjusted fence demand F2, and upload it to the database; The calculated adjusted barrier demand F2 is input as an input parameter to the barrier estimated demand algorithm unit of the calculation processing module to calculate the barrier estimated demand F3, and upload it to the database; The estimated demand for fences F3 is the total amount of fences required for a single breeding unit area Su; Feedback and adjustment, in the database, compare the calculated estimated demand for the fence F3 with the basic demand for the fence F1: when When the ratio is greater than 1.3, it is determined that the estimated reserve of the fence is sufficient, and in the calculation of the basic demand F1 of the fence of the next breeding unit, the value of the adjustment coefficient k in the basic demand algorithm unit of the fence is reduced; when When the ratio is less than 1, it is determined that the estimated reserve of the fence is low. In the calculation of the basic demand F1 of the fence in the next breeding unit, the value of the adjustment coefficient k in the fence basic demand algorithm unit is increased.

[0023] In this embodiment: The present invention comprehensively considers multiple influencing factors such as the different total heights of fences required due to different captive livestock, the number of captive livestock, the climatic conditions of the livestock farm, and the service life of the fence, and calculates the estimated demand F3 for fences under the area Su of a single breeding unit. Compared with traditional manual statistical methods, the present invention reduces the subjectivity and uncertainty of human judgment, improves the accuracy of statistical results, simplifies the management work of breeders, saves time, and improves management efficiency. In addition, because the climatic factors of the livestock area have been taken into account in the formula when calculating the demand for fences, the number of fences can be increased in seasons with a greater impact of climate, and more fences can be installed to reinforce weak positions of the fences (such as the windward opening after the fence is surrounded), thereby reducing damage to the fence caused by climatic factors and improving the stability of animal husbandry production. This long-term and stable fence demand calculation and statistical method is helpful to optimize production resources and improve the level of sustainable development of animal husbandry.

[0024] See also Figure 1 to Figure 2 , the algorithm unit of fence foundation demand is as follows: ;

[0025] in: F1 represents the basic demand for fences; Na represents the number of animals in each breeding unit. The more animals there are in the breeding park, the larger the activity area required, which has a positive impact on the calculation of the basic demand for fences F1; h represents the height of a single fence, in meters; Lf represents the length of a single fence in meters; H represents the total height of the fence required for installation, in meters; Su represents the area of ​​a single breeding unit in square meters, which is obtained from the livestock breeding plan; k represents the adjustment coefficient, which can be self-adjusted as the fence foundation demand algorithm unit calculates; In the calculation formula: This part represents the proportion of the farming area covered by the unit length of the fence, where It is the total length of the fence under the assumption that the breeding area is a square (this is a common assumption), and Lf represents the length of a single fence. Therefore, this ratio reflects the relationship between the total length of the fence and the area of ​​the breeding area. When the area Su of a single breeding unit increases, while the length Lf of a single fence remains unchanged, The value of this part will increase, so that the basic demand for fences F1 increases, which means that more fences are needed to cover a larger area. Conversely, if the length Lf of a single fence increases, that is, longer fence segments are used, this The value will decrease, so that the basic requirement F1 of the fence will decrease, because each fence segment can cover more area; This part indicates the ratio between the total height H of the fence required during installation and the height h of a single fence. When the total height H of the fence required increases and the height h of a single fence remains unchanged, The value of this part will increase, which means that multiple fences need to be stacked to meet the total fence height H required for installation. Conversely, when the total fence height H required for installation remains unchanged, as the height h of a single fence increases, that is, a taller fence is used, then The value of this part will decrease; This part shows the impact of the number of animals on the demand for fences. The logarithmic function is used to reflect the impact of the number of animals Na in each breeding unit on the basic demand for fences F1. It reflects the nonlinear increase trend of the basic demand for fences F1 when the number of animals increases. Specifically: When the number of animals is small, a relatively dense fence layout is required to ensure that each animal has enough space to move around and prevent escape. However, when the number of animals increases to a certain level, due to the area limitations of the breeding area and the natural regulation of animal behavior (such as forming groups, reducing conflicts between individuals, etc.), the additional security and management requirements brought about by each additional animal will not increase as sharply as in the early stages.

[0026] In this embodiment: The basic demand for fences F1 is calculated by comprehensively considering multiple influencing factors such as the total area Su of the breeding area, the total height H of the fence required for installation, the number of animals Na in each breeding unit, and the length Lf of a single fence through the fence basic demand algorithm unit. Compared with the traditional manual statistical method, it reduces the subjectivity and uncertainty of human judgment, improves the accuracy of the calculation results, simplifies the management work of breeders, saves time, and improves management efficiency. By comparing and evaluating the basic demand for fences F1 calculated for different breeding units in the livestock area, it can help breeders allocate resources more reasonably, provide scientific and reliable data support for the reasonable planning of breeding units and fence layouts, reduce the waste of land and water resources, help protect the ecological environment, and promote the sustainable development of animal husbandry.

[0027] In animal husbandry, the safety of fences is of vital importance. The fence foundation demand algorithm unit introduces the total fence height H required for installation and considers the ratio of the total fence height H required for installation to the single fence height h to ensure that the fence height meets the safety requirements. In addition, as the number of animals increases, the formula will also increase the demand for fences accordingly to prevent animals from escaping or accidents, which is safer.

[0028] See also Figure 1 to Figure 2 , the climate impact algorithm unit of fence demand is as follows:

[0029] in: F2 represents the adjusted fence demand, which is the fence demand after the basic fence demand F1 is adjusted for climate factors; F1 represents the basic demand for fences; Ws represents wind speed, which is the daily average wind speed in the livestock area during the previous quarter; W max represents the maximum wind speed, which is the maximum wind speed in the livestock area in the previous quarter; Ra stands for rainfall, which is the total rainfall in the previous quarter; Ra max represents the maximum rainfall, which is the highest seasonal rainfall in three years; In the calculation formula: This part represents the climate adjustment factor, which is used to reflect the initial adjustment of the basic demand F1 for the fence due to climate; Specifically: This part represents the influence of wind speed Ws in the climate on the demand for fences. As the wind speed in the livestock area increases, the fences are required to be stronger and more stable in design, and more materials are needed. That is, as the wind speed Ws increases, the adjusted fence demand F2 will also increase; This part represents the impact of rainfall Ra on the demand for fences in the climate. Rainfall will affect the durability of fence materials. A logarithmic function is used to reflect the impact of each rainfall Ra on the adjusted fence demand F2, reflecting the nonlinear increase trend of the adjusted fence demand F2 when the rainfall Ra increases. That is, as the rainfall Ra increases, the corrosion rate of the fence material increases, and the adjusted fence demand F2 will also increase, but the growth rate will gradually slow down to ensure that when the rainfall is large, the increase in fence demand will not be too drastic; It is worth noting that in the formula calculation, the influence terms of wind speed Ws and rainfall Ra are added by 1, which can avoid the error of division by zero and ensure that the formula can still produce reasonable results when the wind speed and rainfall are zero. At the same time, it smoothes the transition of influence, making the influence of changes in wind speed and rainfall on the demand for fences more robust and realistic. The influence of wind speed Ws on fence demand and rainfall Ra on fence demand are normalized, so that The value range of this part of the climate adjustment factor is ∈[1,2]. When the wind speed Ws and rainfall Ra in the livestock area are 0 (extreme case, which basically does not happen), The value of this part takes the lowest value of 1, which means that the climate has no effect on the demand for fences.

[0030] In this embodiment: The climate impact algorithm unit for fence demand comprehensively considers multiple influencing factors such as wind speed Ws, rainfall Ra, and the basic demand for fences F1, and calculates the adjusted fence demand F2. It can adjust the fence demand under different climatic conditions to make it more in line with the actual situation. When the wind speed reaches an extremely high value or the rainfall increases abnormally, the demand for fences will increase significantly, which makes the fence design not only able to cope with conventional weather conditions, but also maintain sufficient strength and stability in extreme weather. This is especially important for animal husbandry, because extreme weather events occur frequently and the reliability of fences is directly related to the safety of livestock.

[0031] By accurately calculating the demand for fences through climate impacts, more sustainable livestock production can be achieved. Since the climate factors of the livestock area have been taken into account when calculating the demand for fences, the number of fences can be increased in seasons with greater climate impacts, and more fences can be installed to reinforce weak locations of the fences (such as the windward opening after the fence is enclosed). This can reduce damage to the fence caused by climate factors and improve the stability of livestock production. This long-term and stable method of calculating fence demand helps optimize production resources and improve the level of sustainable development of animal husbandry.

[0032] See also Figure 1 to Figure 2 , the algorithm unit of the fence estimated demand is as follows: ;

[0033] in: F3 Fence Estimated Demand represents the estimated fence demand, which is the final fence demand; F2 represents the adjusted fence demand; So represents the service life of the fence. The longer the service life of the fence, the greater the adjustment coefficient of demand, which means that as the service life of the fence increases, more resources are needed to ensure the stability and functionality of the fence; Ambient temperature stands for ambient temperature; it is the average temperature in the livestock area. Rising temperature will affect the performance of fence materials. High temperature may cause aging or deformation of some materials. In the calculation formula: This part is obtained by dividing the fence service life So by 5, which reflects the positive impact of the fence service life So on its demand. The longer the fence service life is, the lower the stability of the fence will be over time, so more resources are needed to maintain the function of the fence. That is, the demand will increase accordingly with every increase of 5 years of service life, which has a positive linear impact on the estimated demand F3 of the fence. This part is obtained by dividing the ambient temperature At by 100 and then adding 1, reflecting the impact of the ambient temperature At on the demand for the fence. As the ambient temperature At increases, the fence material will be affected by corrosion, expansion or aging, and the calculated estimated fence demand F3 will also increase, reflecting the positive impact of the ambient temperature At on the estimated fence demand F3.

[0034] In this embodiment: Through the calculation within the fence estimated demand algorithm unit, the estimated fence demand F3 is calculated by comprehensively considering multiple influencing factors such as the fence service life So, ambient temperature At and adjusted fence demand F2, which can reflect the dynamic changes in the demand for the number of fences under different use cycles and different climatic conditions to ensure the stability and reliability of the fence under different climatic conditions. For example, higher temperatures may cause degradation of fence materials, while longer periods of use may cause fatigue of the fence. The formula can adjust the demand for the fence under these conditions to avoid insufficient fence quantities. That is, by introducing the two influencing parameters of the fence service life So and ambient temperature At into the formula, the demand for the fence in the long term can be more accurately predicted, providing scientific and reliable data support for the reasonable planning and resource allocation of livestock fences.

[0035] In summary, after comprehensive consideration of multiple factors, accurate calculation of fence demand can not only ensure the effectiveness of the fence in the short term, but also ensure the stability of the fence in long-term use, reduce frequent maintenance and waste of resources. Through this method, animal husbandry can continuously optimize fence infrastructure, thereby ensuring the long-term stability and sustainable development of animal husbandry production.

[0036] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for auxiliary counting of livestock breeding fences, characterized in that: The statistical method comprises the following steps: Data collection: The height and length of a single fence are collected through the data collection module when the fence is purchased, and the area Su of a single breeding unit, the number of animals in each breeding unit Na, and the total height H of the fence required for installation are obtained from the animal husbandry planning book and uploaded to the database; Data preprocessing: the data information in the database is transmitted to the data processing module through the data preprocessing module for decoding preprocessing to obtain the parameters involved in the calculation in the calculation processing module; Statistical calculation of the number of livestock breeding fences, including: Substitute the parameter value obtained after decoding preprocessing into the fence basic demand algorithm unit of the calculation processing module and calculate the basic demand F1 of the fence, and upload it to the database; Substitute the parameter value obtained after decoding preprocessing and the basic demand F1 of the fence calculated in the basic demand algorithm unit into the climate impact algorithm unit of the fence demand in the calculation processing module to calculate the adjusted fence demand F2, and upload it to the database; The calculated adjusted barrier demand F2 is input as an input parameter to the barrier estimated demand algorithm unit of the calculation processing module to calculate the barrier estimated demand F3, and upload it to the database; The estimated demand for fences F3 is the total amount of fences required for a single breeding unit area Su.

2. The livestock breeding fence auxiliary quantity counting method according to claim 1 is characterized by: The livestock breeding fence quantity statistical calculation also includes feedback and adjustments in the calculation: In the database, the calculated estimated demand for the fence F3 is compared with the basic demand for the fence F1: when When the ratio is greater than 1.3, it is determined that the estimated reserve of the fence is sufficient, and in the calculation of the basic demand F1 of the fence of the next breeding unit, the value of the adjustment coefficient k in the basic demand algorithm unit of the fence is reduced; when When the ratio is less than 1, it is determined that the estimated reserve of the fence is low. In the calculation of the basic demand F1 of the fence in the next breeding unit, the value of the adjustment coefficient k in the fence basic demand algorithm unit is increased.

3. The livestock breeding fence auxiliary quantity counting method according to claim 2 is characterized by: The statistical method is run using a data collection module, a data processing module, and a calculation processing module.

4. The livestock breeding fence auxiliary quantity counting method according to claim 3 is characterized by: The calculation and processing module includes a barrier basic demand algorithm unit, a barrier demand climate impact algorithm unit and a barrier estimated demand algorithm unit.

5. The livestock breeding fence auxiliary quantity counting method according to claim 4 is characterized by: The fence foundation demand algorithm unit is as follows: ； in: F1 represents the basic demand for fences; Na represents the number of animals in each breeding unit; h represents the height of a single fence; Lf represents the length of a single fence; H represents the total height of the fence required for installation; Su represents the area of ​​a single farming unit; k represents the adjustment factor; In the calculation formula: This part represents the proportion of the farming area covered by the unit length of the fence, where It is the total length of the fence under the assumption that the breeding area is a square, while Lf represents the length of a single fence. This ratio reflects the relationship between the total length of the fence and the area of ​​the breeding area; When the area Su of a single breeding unit increases, while the length Lf of a single fence remains unchanged, The increase of this part increases the basic demand F1 of the fence, which means more fences are needed to cover a larger area. Conversely, when the length Lf of a single fence increases, that is, longer fence segments are used, each fence segment can cover more area. The value decreases, which reduces the basic demand F1 of the fence; This part indicates the ratio between the total height H of the fence required during installation and the height h of a single fence. When the total height H of the fence required increases and the height h of a single fence remains unchanged, The value of this part increases, which increases the basic requirement F1 of the fence, indicating that multiple fences need to be stacked to meet the total fence height H required for installation; On the contrary, when the total height H of the fence required for installation remains unchanged, as the height h of a single fence increases, that is, a taller fence is used, then The value of this part decreases, which reduces the basic demand F1 of the fence; This part shows the impact of the number of animals on the demand for fences. It uses a logarithmic function to reflect the impact of the number of animals Na in each breeding unit on the basic demand for fences F1, reflecting the nonlinear increase trend of the basic demand for fences F1 when the number of animals increases.

6. The livestock breeding fence auxiliary quantity counting method according to claim 5 is characterized by: The climate impact algorithm unit of the fence demand is as follows: ； in: F2 represents the adjusted fence demand; F1 represents the basic demand for fences; Ws represents wind speed, which is the daily average wind speed in the livestock area during the previous quarter; W max represents the maximum wind speed, which is the maximum wind speed in the livestock area in the previous quarter; Ra stands for rainfall, which is the total rainfall in the previous quarter; Ra max represents the maximum rainfall, which is the highest seasonal rainfall in three years; In the calculation formula: This part represents the climate adjustment factor, which is used to reflect the initial adjustment of the basic demand F1 for the fence due to climate; Specifically: This part represents the influence of wind speed Ws in the climate on the demand for fences. As the wind speed in the livestock area increases, the fences are required to be stronger and more stable in design, and more materials are needed. That is, as the wind speed Ws increases, the adjusted fence demand F2 also increases; This part represents the influence of rainfall Ra on the demand for fences in the climate. Rainfall affects the durability of fence materials. A logarithmic function is used to reflect the influence of each rainfall Ra on the adjusted fence demand F2. It is used to reflect the nonlinear increase trend of the adjusted fence demand F2 when the rainfall Ra increases. That is, as the rainfall Ra increases, the corrosion rate of the fence material increases, and the adjusted fence demand F2 also increases, but the growth rate will gradually slow down to ensure that the increase in fence demand will not be too drastic when the rainfall is large. By normalizing the influence of wind speed Ws on fence demand and rainfall Ra on fence demand, The value of this part of the climate adjustment factor is always ∈[1,2]. When the wind speed Ws and rainfall Ra in the livestock area are 0, The value of this part takes the lowest value of 1, which means that the climate has no effect on the demand for fences.

7. The livestock breeding fence auxiliary quantity counting method according to claim 6 is characterized by: The barrier demand estimation algorithm unit is as follows: ； in: F3 Fence Estimated Demand represents the estimated fence demand, which is the final fence demand; F2 represents the adjusted fence demand; So represents the age of the fence; Ambient temperature represents the ambient temperature; In the calculation formula: This part reflects the positive impact of the fence service life So on its demand after dividing it by 5. The greater the fence service life So, the greater the estimated fence demand F3 calculated, because as time goes by, the stability of the fence will decrease, so more fences are needed to maintain the function of the fence, that is, for every 5 years of service life, the demand will increase accordingly, which has a positive linear impact on the estimated fence demand F3; This part is obtained by dividing the ambient temperature At by 100 and then adding 1, reflecting the impact of the ambient temperature At on the demand for the fence. As the ambient temperature At increases, the fence material will be affected by corrosion, expansion or aging, and the calculated estimated fence demand F3 will also increase, reflecting the positive impact of the ambient temperature At on the estimated fence demand F3.

8. The livestock breeding fence auxiliary quantity counting method according to claim 1 is characterized in that: The decoding preprocessing includes data cleaning and data standardization.

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