A method and system for predicting boar semen production capacity in boar farms

Abstract

This invention belongs to the field of pig farming technology, and specifically relates to a method and system for predicting boar semen production capacity in boar farms. The method involves operators inputting corresponding operational information at each stage of the boar semen collection process, recording data from these operations, receiving and statistically analyzing the recorded data, and then predicting the boar farm's semen production capacity based on the recorded data and the statistically analyzed indicators. This method relies on statistics and quantitative analysis to obtain a relatively accurate production capacity range, solving the problem that existing boar farm production capacity predictions rely on the experience of farm managers and historical output reports, resulting in rough estimates and unscientific predictions. Furthermore, this method uses detailed indicator predictions and ultimately obtains the predicted production capacity based on the weakest link, making the calculation closer to reality and truly predicting the maximum production capacity.

Description

Technical Field

[0001] This invention belongs to the field of pig farming technology, specifically relating to a method and system for predicting semen production capacity in boar farms. Background Technology

[0002] Pig farming enterprises are subdivided into boar farms, sow farms, and fattening pig farms. The main product of boar farms is boar semen, which is used to breed sows. The quality of boar semen determines the profitability of pigs raised in sow and fattening pig farms. In the semen production process at boar farms, the raw semen is diluted and packaged into commercial semen, which is then distributed to sow farms that require it.

[0003] The raw semen here refers to the semen produced directly by boars, undiluted. Commercial boar semen is obtained by diluting raw semen. Generally, raw semen needs to be diluted one or two times to maximize the efficiency of one unit. The final dilution and packaging into multiple units is called commercial boar semen, which can be used directly for breeding sows.

[0004] In boar farms, the amount of boar semen produced by each boar varies, and the volume of raw semen produced by the same boar each time also varies. Therefore, the amount of commercial boar semen that a boar farm can produce each month after dilution is not a fixed value. However, for boar farms, decision-makers need to raise more boars to increase semen production capacity when the market is good, and reduce the number of boars to reduce feed consumption costs when the market is bad. Therefore, predicting the production capacity of boar farms has practical production significance.

[0005] Traditional boar semen production forecasting relies on managers' experience and historical reports for rough estimates. However, when one or more boars in a pig farm become ill, it is impossible to accurately know the changes in production caused by these boars, or how adding a boar or a batch of boars will affect boar semen production, or when production will reach its peak. This is because after a batch of boars enters the boar farm, they need to go through an adaptation period, a replacement boar observation period, and a training period before reaching optimal production. There are many variables involved, so it is impossible to derive an accurate production capacity estimate through traditional direct experience. Summary of the Invention

[0006] This invention aims to provide a method and system for predicting boar semen production capacity in boar farms, solving the technical problems of inaccurate and unreliable predictions of boar semen production capacity in existing technologies.

[0007] To solve the above-mentioned technical problems, the present invention adopts the following technical solution:

[0008] A method for predicting boar semen production capacity in boar farms is provided, including:

[0009] (1) Operators at each stage of the boar semen collection process input the corresponding operation information;

[0010] (2) Record the data of the operators in each process of boar semen collection at the boar farm during the operation;

[0011] (3) Receive the data recorded in step (2) and perform statistical analysis;

[0012] (4) Based on the data recorded in step (2) and the indicators statistically analyzed in step (3), predict the semen production capacity of the boar farm.

[0013] Preferably, step (1) specifically includes:

[0014] (1.1) The semen collector enters the semen collection operation information during the semen collection operation;

[0015] (1.2) The inspector inputs inspection operation information during the inspection operation;

[0016] (1.3) The packaging operator inputs dilution and packaging operation information when performing dilution and packaging of boar semen;

[0017] (1.4) When shipping boar semen, the shipper enters the shipping information.

[0018] Preferably, step (2) specifically includes:

[0019] (2.1) Record the semen collection data of the semen collector during the semen collection operation, including the name of the semen collector, the individual number of the semen-collecting boar, and the semen collection time;

[0020] (2.2) Record the test data of the tester during the test operation. The test data includes the tester's name, the individual number of the test boar, the test time, the reason for the test failure, and the interval between the failures in this semen collection.

[0021] (2.3) Record the dilution and packaging data when the packaging operator performs the dilution and packaging operation on boar semen. The dilution and packaging data includes the name of the packaging operator, the individual number of the boar being packaged, the time spent on a single dilution and packaging operation, the final number of packages after dilution, and the interval between semen collections.

[0022] (2.4) Record the shipping data of the shipper when shipping the boar semen. The shipping data includes the shipper's name, the total distance of this delivery, and the delivery time.

[0023] Preferably, step (3) specifically includes:

[0024] (3.1) Calculate the median semen collection time for each semen collector based on the data recorded in step (2.1);

[0025] (3.2) Calculate the median inspection time for each inspector based on the data recorded in step (2.2);

[0026] (3.3) Summary of boar semen quality: The data recorded in steps (2.2) and (2.3) are summarized. The statistical indicators include the failure rate of semen collection from each boar at different intervals and the median output of semen after dilution and packaging for each boar.

[0027] (3.4) Calculate the median packaging time for a single dose of diluent based on the data recorded in step (2.3);

[0028] (3.5) Calculate the maximum daily total delivery distance of each shipper, the maximum number of daily deliveries of each shipper within different distance ranges, the number of buyers who transacted at different delivery radii, and the total number of deliveries based on the data recorded in step (2.4).

[0029] Preferably, step (4) includes:

[0030] (4.1) Prediction of the maximum number of raw semen processed artificially: Based on the data from steps (2) and (3), estimate the maximum number of semen heads collected per day and the maximum number of semen heads collected over 30 days for each semen collector, the maximum number of raw semen detected per day and the maximum number of raw semen detected over 30 days for each tester, and the maximum number of raw semen products packaged per day and the maximum number of packagesd over 30 days for each packager. The minimum value of these estimates is taken as the predicted maximum number of raw semen processed artificially.

[0031] (4.2) Prediction of the maximum daily output per boar: Based on the data from steps (2) and (3), estimate the number of boar semen produced by each boar within 30 days at different intervals, as well as the number of boars producing semen and the average number of semen produced within 30 days at different intervals. Calculate the maximum daily output per boar based on these estimated data.

[0032] (4.3) Maximum production capacity prediction: Based on the maximum number of artificial raw semen processing portions and the average maximum daily output portions per boar, the maximum production capacity within the current 30 days is predicted.

[0033] This invention also provides a boar semen production prediction system for boar farms, comprising:

[0034] The operation module is used for operators of each process of boar semen collection in boar farms to input corresponding operation information;

[0035] The data recording module is used to record the data of operators in each process of boar semen collection in the boar farm during the operation.

[0036] The data statistics module is used to receive the data recorded by the data recording module and perform statistics and analysis.

[0037] The capacity prediction module is used to predict the semen production capacity of boar farms based on the data recorded by the data recording module and the indicators statistically analyzed by the data statistics module.

[0038] Preferably, the operation module specifically includes:

[0039] A semen collection operation unit, which is used for the semen collector to input semen collection operation information during the semen collection operation;

[0040] A detection operation unit, wherein the detection operation unit is used for the inspector to input detection operation information during the detection operation;

[0041] A dilution and packaging operation unit, wherein the dilution and packaging operation unit is used to allow the packaging operator to input dilution and packaging operation information when performing dilution and packaging operations on bovine semen;

[0042] The shipping operation unit is used for the shipper to input shipping information when shipping boar semen.

[0043] Preferably, the data recording module specifically includes:

[0044] The semen collection data recording unit is used to record the semen collection data of the semen collector during the semen collection operation. The semen collection data includes the name of the semen collector, the individual number of the semen-collecting boar, and the semen collection time.

[0045] The detection data recording unit is used to record the detection data of the inspector during the detection operation. The detection data includes the inspector's name, the individual number of the boar being tested, the detection time, the reason for the failure of the test, and the interval time between the failures in this semen collection.

[0046] The dilution and packaging data recording unit is used to record the dilution and packaging data of the packaging operator when performing dilution and packaging operations on boar semen. The dilution and packaging data includes the name of the packaging operator, the individual number of the boar being packaged, the time spent on a single dilution and packaging, the final number of packages after dilution, and the interval between semen collections.

[0047] The shipping data recording unit is used to record the shipping data when the shipper ships the boar semen. The shipping data includes the shipper's name, the total distance of this delivery, and the delivery time.

[0048] Preferably, the data statistics module includes:

[0049] The median semen collection time statistical unit is used to calculate the median semen collection time for each semen collector based on the data recorded by the semen collection data recording unit.

[0050] The median detection time statistics unit is used to calculate the median detection time of each inspector based on the data recorded by the detection data recording unit;

[0051] The boar semen quality summary and statistics unit is used to summarize the data recorded by the detection data recording unit and the dilution and packaging data recording unit. The summary and statistics indicators include the failure rate of semen collection from each boar at different intervals and the median output of each boar after dilution and packaging.

[0052] The median packaging time statistics unit is used to calculate the median packaging time of a single original diluent based on the data recorded by the dilution packaging data recording unit.

[0053] The shipping data statistics unit is used to calculate, based on the data recorded by the shipping data recording unit, the maximum total daily delivery distance for each shipper, the maximum number of daily deliveries for each shipper within different distance ranges, the number of buyers who transacted at different delivery radii, and the total number of deliveries.

[0054] Preferably, the capacity prediction module includes:

[0055] The maximum artificial raw semen processing unit estimates the maximum number of semen heads collected per day and the maximum number of semen heads collected over 30 days for each semen collector, the maximum number of raw semen detected per day and the maximum number of raw semen detected over 30 days for each tester, and the maximum number of raw semen products packaged per day and the maximum number of packagesd over 30 days for each packager, based on the data from the data recording module and the data statistics module. The minimum of these estimated values ​​is taken as the predicted maximum artificial raw semen processing unit.

[0056] The unit predicts the maximum daily output of boar semen based on the data from the data recording module and the data statistics module. It estimates the number of boar semen produced by each boar within 30 days at different intervals, as well as the number of boars producing semen and the average number of semen produced within 30 days at different intervals. Based on these estimated data, the unit calculates the maximum daily output of boar semen.

[0057] The maximum production capacity prediction unit and the maximum production capacity calculation unit predict the maximum production capacity within the current 30 days based on the maximum number of artificial raw semen processing portions and the average maximum daily output portions per boar.

[0058] Compared with the prior art, the beneficial effects of the present invention are:

[0059] 1. This boar farm semen production capacity prediction method involves operators inputting corresponding operational information at each stage of the boar farm semen collection process. Data from these operations is then recorded, statistically analyzed, and used to predict the boar farm's semen production capacity. This method relies on statistics and quantitative analysis to obtain a relatively accurate production capacity range. It addresses the problem that existing boar farm production capacity predictions rely on the experience of farm managers and historical output reports, resulting in crude and unscientific predictions.

[0060] 2. The boar farm's semen production capacity prediction method uses detailed sub-item indicators for prediction, and finally obtains the predicted capacity based on the weakest link. This calculation is closer to the actual situation and can truly predict the maximum capacity. Attached Figure Description

[0061] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0062] Figure 1 This is a flowchart of an embodiment of the boar semen production prediction method of the present invention.

[0063] Figure 2 This is a flowchart illustrating the process of an operator inputting corresponding operational information in one embodiment of the boar semen production prediction method of the present invention.

[0064] Figure 3 This is a flowchart illustrating the data recording process of an operator during an operation in one embodiment of the boar semen production prediction method of the present invention.

[0065] Figure 4 This is a flowchart illustrating the recording, statistical analysis, and processing of data in one embodiment of the boar semen production prediction method of the present invention.

[0066] Figure 5 This is a flowchart illustrating the prediction of boar semen production capacity in a boar farm, as described in one embodiment of the boar farm semen production capacity prediction method of the present invention.

[0067] Figure 6 This is an architecture diagram of an embodiment of the boar semen production prediction system of the present invention.

[0068] Figure 7 This is an architecture diagram of the operation module in one embodiment of the boar farm semen production prediction system of the present invention.

[0069] Figure 8 This is an architecture diagram of the data recording module in one embodiment of the boar farm semen production prediction system of the present invention.

[0070] Figure 9 This is an architecture diagram of the data statistics module in one embodiment of the boar farm semen production prediction system of the present invention.

[0071] Figure 10 This is an architecture diagram of the production capacity prediction module in one embodiment of the boar farm semen production capacity prediction system of the present invention.

[0072] Figure 11 This is a schematic diagram illustrating data recording and statistics in an example using the boar semen production prediction system of this invention in a boar farm.

[0073] Figure 12 This is a schematic diagram illustrating the use of the boar semen production prediction system of the present invention for production prediction in an example.

[0074] Figure 13 This is a schematic diagram illustrating the statistical analysis of shipment data in an example using the boar semen production prediction system of this invention for boar farms. Detailed Implementation

[0075] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0076] In one embodiment, a method for predicting semen production capacity in boar farms is provided. (See also...) Figures 1 to 5 .

[0077] like Figure 1 As shown, the method for predicting semen production capacity in this boar farm includes the following steps:

[0078] S100, operators of each process for collecting boar semen in boar farms should input the corresponding operation information.

[0079] The main personnel involved in the semen collection process at a boar farm include semen collectors, testers, packagers, and shippers. Semen collectors are responsible for collecting semen from boars, testers are responsible for quality testing of the boar semen, packagers are responsible for diluting and packaging the qualified semen, and shippers are responsible for sending out and delivering the packaged semen to customers.

[0080] like Figure 2 As shown, step S100 specifically includes:

[0081] S110. The semen collector enters the semen collection operation information during the semen collection operation.

[0082] The semen collection information entered here includes the name of the semen collector, the individual number of the semen-collecting boar, and the start and end times of the semen collection.

[0083] S120. The inspector inputs the inspection operation information during the inspection operation.

[0084] The testing information entered here includes the tester's name, the individual number of the boar being tested, the start time of the test, whether the tested boar semen is qualified or not, the reason why the tested boar semen is unqualified, and the interval between semen collections for this unqualified boar semen.

[0085] Among them, the qualified raw essence is sent to the packaging room for dilution and packaging.

[0086] S130. When performing dilution and packaging of bovine semen, the packaging operator inputs dilution and packaging operation information.

[0087] The information to be entered here for dilution and packaging operations includes the name of the packaging operator, the individual number of the boar being packaged, the start time of a single dilution and packaging, the number of packages to be packaged after the final dilution of the raw semen, and the interval between semen collections from the boar.

[0088] S140. When shipping boar semen, the shipper enters the shipping information.

[0089] The shipping information entered here includes the sender's name, total delivery distance, and delivery time.

[0090] S200: Record the data collected by operators during each step of the boar semen collection process at the boar farm.

[0091] The data recorded in this step is based on the operation information input by the operators of each process collected in step S100. It mainly records the behavior of each operator, such as who performed what operation, in what role, on what object, whether the operation was successful, and the start and end times of the operation.

[0092] like Figure 3 As shown, step S200 specifically includes:

[0093] S210. Record the semen collection data during the semen collection operation. The semen collection data includes the semen collector's name, the individual number of the semen-collecting boar, and the semen collection time.

[0094] S220. Record the test data during the test operation. The test data includes the tester's name, the individual number of the boar being tested, the test time, the reason for the test failure, and the interval between the failed semen collections.

[0095] S230. Record the dilution and packaging data when the packaging operator performs the dilution and packaging operation on boar semen. The dilution and packaging data includes the name of the packaging operator, the individual number of the boar being packaged, the time spent on a single dilution and packaging operation, the final number of packages after dilution, and the interval between semen collections.

[0096] S240. Record the shipping data when the shipper ships the boar semen. The shipping data includes the shipper's name, the total distance of this delivery, and the delivery time.

[0097] S300: Receive the data recorded in step S200 and perform statistical analysis.

[0098] This step mainly involves statistical calculations of the data recorded in step S200 to calculate various necessary indicator values. These indicator values ​​include the median semen collection time for each semen collector, the median testing time for each tester, the median packaging time for each packager, the median interval between boar semen reaching the standard and the median number of dilutions, the interval between boar semen failing to meet the standard and the reasons for failure, the delivery distance and number of deliveries by the shipper, and the delivery distance.

[0099] Specifically, such as Figure 4 As shown, step S300 specifically includes:

[0100] S310. Calculate the median semen collection time for each semen collector based on the data recorded in step S210.

[0101] S320. Calculate the median inspection time for each inspector based on the data recorded in step S220.

[0102] S330. Summary of boar semen quality: The data recorded in steps S220 and S230 are summarized. The summarized statistical indicators include the failure rate of semen collection from each boar at different intervals and the median output of semen after dilution and packaging for each boar.

[0103] S340. Calculate the median packaging time for a single dose of diluent based on the data recorded in step S230.

[0104] S350. Calculate the maximum daily total delivery distance for each shipper, the maximum number of daily deliveries for each shipper within different distance ranges, the number of buyers who transacted at different delivery radii, and the total number of deliveries based on the data recorded in step S240.

[0105] S400. Based on the data recorded in step S200 and the indicators statistically analyzed in step S300, predict the semen production capacity of the boar farm.

[0106] In capacity forecasting, based on statistical indicators, the maximum capacity of each statistical indicator is obtained, and the minimum value among them is used as the basis for predicting the maximum capacity, making the predicted maximum capacity more realistic and more feasible.

[0107] like Figure 5 As shown, step S400 includes:

[0108] S410. Prediction of the maximum number of raw semen samples processed artificially: Based on the data from steps S200 and S300, estimate the maximum number of semen collection heads per day and the maximum number of semen collection heads per 30 days for each semen collector, the maximum number of raw semen samples tested per day and the maximum number of raw semen samples tested per 30 days for each tester, and the maximum number of raw semen products packaged per day and the maximum number of packages per 30 days for each packager. The minimum value of these estimates is taken as the predicted maximum number of raw semen samples processed artificially.

[0109] The maximum number of raw semen that can be processed artificially represents the processing capacity of raw semen.

[0110] S420. Prediction of the maximum daily output per boar: Based on the data from steps S200 and S300, estimate the number of boar semen produced by each boar within 30 days at different intervals, as well as the number of boars producing semen and the average number of semen produced within 30 days at different intervals. Calculate the maximum daily output per boar based on these estimated data.

[0111] The average daily maximum semen output per boar represents the boar farm's raw semen production capacity. The maximum production capacity of a boar farm is affected by two indicators: the maximum number of raw semen processed artificially and the average daily maximum semen output per boar.

[0112] S430, Maximum Production Capacity Forecast: Based on the maximum number of artificial raw semen processing portions and the average maximum daily output portions per boar, the maximum production capacity within the current 30 days is predicted.

[0113] In one embodiment, a boar semen production prediction system for boar farms is provided, see reference. Figures 6 to 13 .

[0114] like Figure 6 As shown, the boar semen production prediction system of this boar farm includes an operation module 10, a data recording module 20, a data statistics module 30, and a production prediction module 40. These modules are all computer-executable functional modules.

[0115] The operation module 10 features a user interface visible to operators at each stage of the process, and includes various information input functions. The data recording module 20 collects various data generated in the operation module, without performing calculations; it simply stores the data in categories for later use, essentially functioning as a database. The data statistics module 30 performs statistical calculations on the data recorded in the data recording module 20 to obtain statistical indicators that can be used for subsequent calculations. The capacity prediction module 40, based on the indicator data from the statistics module and some data recorded in the data recording module 20, performs calculations and predictions to obtain the final estimated capacity prediction result. The system calculates statistical indicators based on detailed behavioral calculations for various boar farm categories, and then uses the "weakest link" theory to estimate capacity, rather than calculating capacity based on general historical shipment volumes.

[0116] Specifically, the operation module 10 is used for operators of each process of boar semen collection in boar farms to input the corresponding operation information.

[0117] like Figure 7 As shown, the operation module specifically includes:

[0118] The semen collection operation unit 11 is used by the semen collector to input semen collection operation information during the semen collection operation. The semen collection operation unit 11 is arranged on the semen collector's handheld terminal device to facilitate the semen collector's input of information.

[0119] The detection operation unit 12 is used by the inspector to input detection operation information during the detection operation. This detection operation unit 12 is located on the computer in the detection room to facilitate information input by the inspector.

[0120] The dilution and packaging operation unit 13 is used by the packaging operator to input dilution and packaging operation information when performing dilution and packaging operations on boar semen. This dilution and packaging operation unit 13 is located on a computer in the dilution and packaging room to facilitate information input by the packaging operator during the dilution and packaging process.

[0121] The shipping operation unit 14 is used by the shipper to input shipping information when shipping boar semen. This shipping operation unit 14 is located on a computer in the shipping room or on the shipper's handheld terminal device to facilitate the input of shipping information.

[0122] As can be seen, the operation module 10 here is a visual functional module used to interact with operators of each process of boar semen collection in boar farms.

[0123] The data recording module 20 is used to record data from operators during each step of the boar semen collection process at the boar farm. For example... Figure 8 As shown, the data recording module 20 specifically includes:

[0124] The semen collection data recording unit 21 is used to record the semen collection data of the semen collector during the semen collection operation. The semen collection data includes the name of the semen collector, the individual number of the semen-collecting boar, and the semen collection time.

[0125] The detection data recording unit 22 is used to record the detection data of the inspector during the detection operation. The detection data includes the inspector's name, the individual number of the boar being tested, the detection time, the reason for the failure of the test, and the interval time between the failures of the semen collection.

[0126] Among them, the qualified raw essence is sent to the packaging room for dilution and packaging.

[0127] The dilution and packaging data recording unit 23 is used to record the dilution and packaging data of the packaging operator when performing dilution and packaging operations on boar semen. The dilution and packaging data includes the name of the packaging operator, the individual number of the boar being packaged, the time spent on a single dilution and packaging, the final number of packages after dilution, and the interval between semen collections.

[0128] The shipping data recording unit 24 is used to record the shipping data when the shipper ships the pig semen. The shipping data includes the shipper's name, the total distance of this delivery, and the delivery time.

[0129] The data statistics module 30 is used to receive data recorded by the data recording module and perform statistics and analysis, such as... Figure 9 As shown, the data statistics module 30 includes:

[0130] The median semen collection time statistics unit 31 is used to calculate the median semen collection time for each semen collector based on the data recorded by the semen collection data recording unit 21.

[0131] The median detection time statistics unit 32 is used to calculate the median detection time of each inspector based on the data recorded by the detection data recording unit 22.

[0132] The boar semen quality summary and statistics unit 33 is used to summarize the data recorded by the detection data recording unit 22 and the dilution and packaging data recording unit 23. The summary and statistics indicators include the failure rate of semen collection from each boar at different intervals and the median output of each boar after dilution and packaging.

[0133] The median packaging time statistics unit 34 is used to calculate the median packaging time of a single original diluent based on the data recorded by the dilution packaging data recording unit 23.

[0134] The shipping data statistics unit 35 is used to calculate, based on the data recorded by the shipping data recording unit 24, the maximum total daily delivery distance for each shipper, the maximum number of daily deliveries for each shipper within different distance ranges, the number of buyers who transacted at different delivery radii, and the total number of deliveries.

[0135] The production capacity prediction module 40 is used to predict the semen production capacity of boar farms based on the data recorded by the data recording module and the indicators statistically analyzed by the data statistics module. For example... Figure 10 As shown, the capacity forecasting module 40 includes:

[0136] The maximum artificial raw semen processing unit 41 estimates the maximum number of semen heads collected per day and the maximum number of semen heads collected over 30 days for each semen collector, the maximum number of raw semen detected per day and the maximum number of raw semen detected over 30 days for each tester, and the maximum number of raw semen products packaged per day and the maximum number of packagesd over 30 days for each packager, based on data from the data recording module and the data statistics module. The minimum value of these estimates is taken as the predicted maximum artificial raw semen processing unit.

[0137] The average daily maximum output per boar prediction unit 42 estimates the number of boar semen produced by each boar within 30 days at different intervals, as well as the number of boars producing semen and the average number of semen produced within 30 days at different intervals, based on data from the data recording module and the data statistics module. The average daily maximum output per boar is then calculated based on these estimated data.

[0138] Maximum production capacity prediction unit 43, maximum production capacity calculation unit 43 predicts the maximum production capacity within the current 30 days based on the maximum number of artificial raw semen processing portions and the average maximum daily output portions per boar.

[0139] To facilitate a further understanding of the boar farm's semen production prediction system, the following will combine... Figures 11 to 13 An example illustrating the statistical data from the boar farm's semen production prediction system:

[0140] Combination Figure 13 As shown, the main process of boar semen production at a boar farm is as follows: customers place orders, the boar farm collects semen according to the order requirements, the raw semen is tested, the raw semen is diluted and packaged, and then shipped. Each step in this process involves human interaction, and the semen collection process also involves the boars' own capabilities. Therefore, the data generated at each stage of semen collection is recorded by the boar farm's semen production capacity prediction system.

[0141] Figure 13 The individual number of the boar collected from the semen collection site is YY123456. The individual number of the boar is recorded each time semen is collected, along with the relevant operational information and data of the semen collector, tester, packaging personnel, and shipping personnel.

[0142] In the data statistics module, the ability of relevant participants is estimated using the median of a single operation. Since human behavior is relatively controllable and basically conforms to a normal distribution, the median is a good estimate.

[0143] In other embodiments, the calculation of manually collected data may not use the median, but instead use a normal distribution. The result is a range of distributions rather than a specific value, and therefore the maximum production capacity will also be a range.

[0144] When summarizing the quality of boar semen, the main reasons for substandard boar semen include an insufficient proportion of forward-motile sperm or urine contamination. The semen production capacity of boars will fluctuate to some extent with the age of the boar and the number of semen collections, but it is basically predictable within a one-month cycle. Therefore, the data from the previous month can be used as the basis for calculation to estimate the production capacity.

[0145] The quality of boar semen varies over time depending on the interval between semen collections. Therefore, it is necessary to calculate the maximum production capacity range for intervals ranging from 1 day to 3 days. Generally, boars must be semen collected at least once every 7 days, but intervals of 3 days or more will have a significant impact on production capacity. Therefore, the calculation range is 1-3 days.

[0146] Boar farms use dedicated delivery vehicles for their boar semen. This is to prevent African swine fever virus and other contaminants from contaminating the semen packaging bags and causing losses to breeding sow farms. Therefore, data statistics and calculations related to dedicated delivery vehicles are included.

[0147] exist Figure 12 In this system, the semen collection strategy is calculated for each boar at intervals of 1 to 3 days, and the semen collection strategy that can produce the maximum semen production is calculated for each boar. This is more refined. In the past, pig farms used a queue model to arrange the semen collection time for each boar. That is, if the boars to be collected on the first day are A, B, and C, then semen collection will be carried out on A, B, and C only after all other boars have been collected. However, in reality, the semen production of each boar is different. This is a significant waste of semen production and basically does not reach the maximum semen production capacity that a pig farm should have.

[0148] exist Figure 12 In the calculation of various data such as the estimated maximum number of semen collected per day and the maximum number of semen collected over 30 days for each semen collector, the maximum number of raw semen tested per day and the maximum number of raw semen tested over 30 days for each tester, the maximum number of raw semen products packaged per day and the maximum number of packages packaged over 30 days for each packager, the number of boar semen produced over 30 days at different intervals, and the number of boars producing boar semen and the average number of semen produced over 30 days at different intervals, only the maximum capacity of each item was calculated. Then, according to the principle of the weakest link, the maximum calculated capacity will be determined by the lowest capacity among these items.

[0149] Therefore, in Figure 12 In this study, the boar farm's semen production capacity prediction system uses detailed indicator predictions to ultimately derive the predicted production capacity based on the weakest link. This calculation method is closer to the actual situation and can truly predict the boar farm's maximum production capacity. This is because few pig farms have historical production capacity data under extreme conditions. Therefore, calculating production capacity based solely on the historical data of a single pig farm is often inaccurate. Thus, the prediction results here have better reference value.

[0150] exist Figure 12 In this boar farm's semen production capacity prediction system, the production capacity prediction module operates independently, separated from other modules. This results in higher computational efficiency and does not affect the performance of other modules. Furthermore, even if the semen production capacity prediction module malfunctions, it will not affect other modules. Moreover, the production capacity prediction module can be isolated from the operation module at the server hardware level, ensuring that production capacity prediction has absolutely no impact on the operation of the operation module.

[0151] It can be noticed Figure 12 The calculated capacity is based on the capacity of each participant in each process, rather than on the actual capacity of the previous month. This is because very few boar farms can reach their maximum capacity, and the capacity of each boar changes over time. Therefore, the prediction method we use here is to use one-way calculation and then find the minimum value in one direction to predict the maximum capacity of the entire pig farm. This also makes it easier for boar farm decision-makers to find the weakest link in the pig farm and make up for the capacity shortfall when necessary.

[0152] Figure 13 This data is compiled by the shipment data statistics unit. The shipment data compiled here is for reference only and is not used in the actual calculation of pig semen production capacity. The shipment and delivery capacity can be adjusted according to the production capacity.

[0153] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A method for predicting boar semen production capacity in boar farms, characterized in that, include: (1) Operators at each stage of the boar semen collection process input the corresponding operation information; (2) Record the data of the operators in each process of boar semen collection at the boar farm during the operation; (3) Receive the data recorded in step (2) and perform statistical analysis; (4) Based on the data recorded in step (2) and the indicators statistically analyzed in step (3), predict the semen production capacity of the boar farm; Step (2) specifically includes: (2.1) Record the semen collection data of the semen collector during the semen collection operation, including the name of the semen collector, the individual number of the semen-collecting boar, and the semen collection time; (2.2) Record the test data of the tester during the test operation. The test data includes the tester's name, the individual number of the test boar, the test time, the reason for the test failure, and the interval between the failures in this semen collection. (2.3) Record the dilution and packaging data when the packaging operator performs the dilution and packaging operation on boar semen. The dilution and packaging data includes the name of the packaging operator, the individual number of the boar being packaged, the time spent on a single dilution and packaging operation, the final number of packages after dilution, and the interval between semen collections. (2.4) Record the shipping data of the shipper when shipping boar semen, including the shipper's name, total delivery distance, and delivery time; Step (4) includes: (4.1) Prediction of the maximum number of raw semen processed artificially: Based on the data from steps (2) and (3), estimate the maximum number of semen heads collected per day and the maximum number of semen heads collected over 30 days for each semen collector, the maximum number of raw semen detected per day and the maximum number of raw semen detected over 30 days for each tester, and the maximum number of raw semen products packaged per day and the maximum number of packagesd over 30 days for each packager. The minimum value of these estimates is taken as the predicted maximum number of raw semen processed artificially. (4.2) Prediction of the maximum daily output per boar: Based on the data from steps (2) and (3), estimate the number of boar semen produced by each boar within 30 days at different intervals, as well as the number of boars producing semen and the average number of semen produced within 30 days at different intervals. Calculate the maximum daily output per boar based on these estimated data. (4.3) Maximum production capacity prediction: Based on the maximum number of artificial raw semen processing portions and the average maximum daily output portions per boar, the maximum production capacity within the current 30 days is predicted.

2. The method for predicting boar semen production capacity in boar farms according to claim 1, characterized in that, Step (1) specifically includes: (1.1) The semen collector enters the semen collection operation information during the semen collection operation; (1.2) The inspector inputs inspection operation information during the inspection operation; (1.3) The packaging operator inputs dilution and packaging operation information when performing dilution and packaging of boar semen; (1.4) When shipping boar semen, the shipper enters the shipping information.

3. The method for predicting boar semen production capacity in boar farms according to claim 1, characterized in that, Step (3) specifically includes: (3.1) Calculate the median semen collection time for each semen collector based on the data recorded in step (2.1); (3.2) Calculate the median inspection time for each inspector based on the data recorded in step (2.2); (3.3) Summary of boar semen quality: The data recorded in steps (2.2) and (2.3) are summarized. The statistical indicators include the failure rate of semen collection from each boar at different intervals and the median output of semen after dilution and packaging for each boar. (3.4) Calculate the median packaging time for a single dose of diluent based on the data recorded in step (2.3); (3.5) Calculate the maximum daily total delivery distance for each shipper, the maximum number of daily deliveries for each shipper within different distance ranges, the number of buyers who transacted at different delivery radii, and the total number of deliveries based on the data recorded in step (2.4).

4. A boar semen production prediction system for boar farms, characterized in that, include: The operation module is used for operators of each process of boar semen collection in boar farms to input corresponding operation information; The data recording module is used to record the data of operators in each process of boar semen collection in the boar farm during the operation. The data statistics module is used to receive the data recorded by the data recording module and perform statistics and analysis. The capacity prediction module is used to predict the semen production capacity of the boar farm based on the data recorded by the data recording module and the indicators statistically analyzed by the data statistics module. The data recording module specifically includes: The semen collection data recording unit is used to record the semen collection data of the semen collector during the semen collection operation. The semen collection data includes the name of the semen collector, the individual number of the semen-collecting boar, and the semen collection time. The detection data recording unit is used to record the detection data of the inspector during the detection operation. The detection data includes the inspector's name, the individual number of the boar being tested, the detection time, the reason for the failure of the test, and the interval time between the failures in this semen collection. The dilution and packaging data recording unit is used to record the dilution and packaging data of the packaging operator when performing dilution and packaging operations on boar semen. The dilution and packaging data includes the name of the packaging operator, the individual number of the boar being packaged, the time spent on a single dilution and packaging, the final number of packages after dilution, and the interval between semen collections. The shipping data recording unit is used to record the shipping data when the shipper ships the boar semen. The shipping data includes the shipper's name, the total distance of this delivery, and the delivery time. The capacity forecasting module includes: The maximum artificial raw semen processing unit estimates the maximum number of semen heads collected per day and the maximum number of semen heads collected over 30 days for each semen collector, the maximum number of raw semen detected per day and the maximum number of raw semen detected over 30 days for each tester, and the maximum number of raw semen products packaged per day and the maximum number of packagesd over 30 days for each packager, based on the data from the data recording module and the data statistics module. The minimum of these estimated values ​​is taken as the predicted maximum artificial raw semen processing unit. The unit predicts the maximum daily output of boar semen based on the data from the data recording module and the data statistics module. It estimates the number of boar semen produced by each boar within 30 days at different intervals, as well as the number of boars producing semen and the average number of semen produced within 30 days at different intervals. Based on these estimated data, the unit calculates the maximum daily output of boar semen. The maximum production capacity prediction unit predicts the maximum production capacity within the current 30 days based on the maximum number of artificial raw semen processing portions and the average maximum daily output portions per boar.

5. The boar semen production prediction system for boar farms according to claim 4, characterized in that, The operation module specifically includes: A semen collection operation unit, which is used for the semen collector to input semen collection operation information during the semen collection operation; A detection operation unit, wherein the detection operation unit is used for the inspector to input detection operation information during the detection operation; A dilution and packaging operation unit, wherein the dilution and packaging operation unit is used to allow the packaging operator to input dilution and packaging operation information when performing dilution and packaging operations on bovine semen; The shipping operation unit is used for the shipper to input shipping information when shipping boar semen.

6. The boar semen production prediction system for boar farms according to claim 4, characterized in that, The data statistics module includes: The median semen collection time statistical unit is used to calculate the median semen collection time for each semen collector based on the data recorded by the semen collection data recording unit. The median detection time statistics unit is used to calculate the median detection time of each inspector based on the data recorded by the detection data recording unit; The boar semen quality summary and statistics unit is used to summarize the data recorded by the detection data recording unit and the dilution and packaging data recording unit. The summary and statistics indicators include the failure rate of semen collection from each boar at different intervals and the median output of each boar after dilution and packaging. The median packaging time statistics unit is used to calculate the median packaging time of a single original diluent based on the data recorded by the dilution packaging data recording unit. The shipping data statistics unit is used to calculate, based on the data recorded by the shipping data recording unit, the maximum total daily delivery distance for each shipper, the maximum number of daily deliveries for each shipper within different distance ranges, the number of buyers who transacted at different delivery radii, and the total number of deliveries.

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