Industrialized pig breeding integrated intelligent control method and system

Abstract

The invention discloses an integrated intelligent control method and system for factory-like live pig breeding, and relates to the technical field of live pig breeding, an individual live pig monitoring module monitors daily feeding and weight changes of each live pig in a factory area by using intelligent equipment, obtains a feed conversion index Zzh through deep learning analysis, and sends the feed conversion index Zzh to a control module; the method comprises the following steps: selecting an optimal feed conversion index Zzj, marking individuals close to the optimal feed conversion index Zzj, sending a health analysis instruction, combining a trained logistic regression health model, analyzing and marking health signs of live pigs, and generating a health assessment coefficient Xjk, combining the health assessment coefficient Xjk and the feed conversion index Zzh by a slaughter assessment module, and analyzing the weight standard condition of the individual live pigs. And finally, a comprehensive slaughtering evaluation index Zpg is fitted, the slaughtering control module compares the evaluation index with a preset slaughtering evaluation threshold value H, whether the individual live pigs meet the slaughtering standard or not is judged, corresponding slaughtering control operation is executed, and the slaughtering efficiency and economic benefits are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of pig breeding, and in particular to an integrated intelligent control method and system for factory pig breeding. Background Art

[0002] With the continuous increase in global demand for meat, the pig farming industry faces the dual challenges of improving production efficiency and ensuring meat quality. The traditional pig farming model often relies on manual experience, resulting in inefficient management, inaccurate data, and difficulty in quickly responding to market changes. In order to solve these problems, the factory pig farming model has gradually emerged. Factory farming has achieved standardization, scale and intelligence of the entire pig farming process through high-density and centralized management combined with modern agricultural technology, providing an effective way to improve farming efficiency and reduce risks. In particular, the application of integrated intelligent control systems makes data collection, environmental monitoring and production decisions in the farming process more scientific and accurate.

[0003] Although the integrated intelligent control system for factory pig farming has brought about significant efficiency improvements, the current system still has some shortcomings, especially in terms of timely determination of pig marketability and reducing breeding costs. The existing methods for determining pig marketability often rely on manual evaluation and empirical judgment, and lack monitoring of the physiological signs, health status and weight of pigs to be marketed. This will lead to the failure to market pigs in a timely manner when their comprehensive indicators meet the marketability standards, increase breeding costs, and thus affect overall breeding efficiency. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides an integrated intelligent control method and system for factory-based pig farming, which solves the problems in the above-mentioned background technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: an integrated intelligent control system for factory pig farming, including an individual pig monitoring module, a feed conversion analysis module, a health analysis module, a market evaluation module and a market control module;

[0006] The individual pig monitoring module is used to monitor the pigs in the factory area as monitoring objects, and use intelligent devices to monitor the daily feeding and weight changes of individual pigs at various breeding stages to obtain relevant data information of individual pigs;

[0007] The feed conversion analysis module is used to analyze the data information related to individual pigs, and obtain the feed conversion index Zzh through deep machine learning calculation, and mark the individual pigs whose feed conversion index Zzh is close to the optimal feed conversion index Zzj, and issue health analysis instructions at the same time;

[0008] The health analysis module is used to analyze the health signs of the marked individual pigs after receiving the health analysis instruction, and to fit and construct the health assessment coefficient Xjk in combination with the trained logistic regression health model;

[0009] The market evaluation module is used to associate the health evaluation coefficient Xjk with the feed conversion index Zzh, and to fit and construct a comprehensive market evaluation index Zpg by analyzing the weight compliance of the marked individual pigs;

[0010] The market release control module is used to compare and analyze the preset market release assessment threshold H with the comprehensive market release assessment index Zpg to determine whether the comprehensive indicators of the marked individual pigs meet the market release standards and perform corresponding market release control operations.

[0011] Preferably, the individual pig monitoring module comprises a deployment unit and a monitoring unit;

[0012] The deployment unit is used to monitor the pigs in the factory area, install electronic ear tags on the right ear ends of the initially introduced piglets, each of which is provided with an RFID chip, each of which has a unique identification code, and integrate the RFID card reader into the smart device, so as to obtain the pig's identity number, breeding days, weight, feed consumption and health status data in real time through radio frequency identification technology, and number the individual pigs installed with the electronic ear tags as individual pig number one P1, individual pig number two P2, individual pig number three P3, ..., individual pig number n Pn respectively;

[0013] The monitoring unit uses radio frequency identification technology to monitor the daily feeding and weight change status of individual pigs in each breeding stage, and obtains relevant data information of the individual pigs, wherein the relevant data information of the individual pigs includes the weight gain Ttz and feed consumption Lsx in each breeding stage.

[0014] Preferably, the feed conversion analysis module comprises a feed conversion analysis unit and an identification unit;

[0015] The feed conversion analysis unit is used to analyze the data information related to individual pigs in the current breeding stage, and after dimensionless processing and deep machine learning calculation, obtain the feed conversion index Zzh.

[0016] Preferably, the identification unit is used to establish an optimal feed conversion index Zzj based on previous breeding data, wherein the optimal feed conversion index Zzj represents the minimum amount of feed consumed by a pig for each additional unit of body weight, that is, the pigs that consume the minimum amount of feed for each additional unit of body weight in the factory area in the previous stage are selected, and the optimal feed conversion index Zzj is compared with the feed conversion index Zzh in the current breeding stage to obtain the feed conversion rate dynamic change index Zdt;

[0017] The identification unit is also used to compare and analyze the feed conversion rate dynamic change index Zdt with a preset change threshold Z to determine whether to issue a health analysis instruction. The specific content of the health analysis instruction is as follows;

[0018] If the feed conversion rate dynamic change index Zdt ≤ the change threshold Z, it means that the feed conversion of individual pigs in the current breeding stage is in the best state, and the physiological signs of individual pigs in the current breeding stage meet the requirements for market release, and the individual pigs whose physiological signs meet the requirements for market release are marked by electronic ear tags, and health analysis instructions are issued at the same time;

[0019] If the feed conversion rate dynamic change index Zdt> the change threshold Z, it means that the feed conversion of individual pigs in the current breeding stage is not in the optimal state, and the physiological signs of individual pigs in the current breeding stage do not meet the requirements for marketing, and no additional analysis instructions are issued at this time.

[0020] Preferably, the health analysis module includes a health sign monitoring unit and a health analysis unit;

[0021] The health sign monitoring unit is used to monitor the health sign status of individual pigs whose physiological signs meet the requirements for market release after receiving the health analysis instruction, and obtain the health data information of the individual pigs, wherein the health data information of the individual pigs includes the body temperature Twd, the respiratory rate Ppv and the number of vaccinations Tym;

[0022] The health analysis unit is used to analyze the health data information of the individual pigs, and to fit and construct a health assessment coefficient Xjk in combination with the trained logistic regression health model.

[0023] Preferably, the market evaluation module includes a weight compliance analysis unit and a market overall evaluation unit;

[0024] The weight compliance analysis unit is used to weigh the weight compliance of individual pigs whose physiological signs meet the requirements for market release through automatic weighing equipment, obtain the market release weight Tdq of individual pigs, and construct the individual pig weight compliance index Zdb.

[0025] Preferably, the overall market assessment unit is used to correlate the health assessment coefficient Xjk, feed conversion index Zzh and individual pig weight compliance index Zdb of individual pigs whose physiological signs meet the market requirements after marking, and to fit and construct a comprehensive market assessment index Zpg.

[0026] Preferably, the delivery control module includes a determination unit and a delivery control unit;

[0027] The determination unit is used to compare and analyze the preset market evaluation threshold H with the comprehensive market evaluation index Zpg to determine whether the comprehensive index of the marked individual pigs meets the market standard, so as to obtain the corresponding market control instruction, and the specific contents are as follows;

[0028] If the comprehensive market evaluation index Zpg ≥ the market evaluation threshold H, it means that the comprehensive index of the currently marked individual pig meets the market standard, and a first market control instruction is generated;

[0029] If the comprehensive market evaluation index Zpg is less than the market evaluation threshold H, it means that the comprehensive index of the currently marked individual pigs does not meet the market standard, and a second market control instruction is generated.

[0030] Preferably, the exit control unit is used to receive the generated first exit control instruction and the second exit control instruction, and execute corresponding exit control operations, the specific contents of which are as follows;

[0031] When the first market release control instruction is received, the execution content is as follows: individual pigs whose comprehensive indicators meet the market release standards will be marked as market release status, and the breeding staff will be notified to move the pigs from the pen to the market release area, enter the market release process, stop the feed supply, and prepare to send them to the slaughterhouse and sales channels. At the same time, the market release status data will be recorded in the system for real-time data update;

[0032] When the second marketing control instruction is received, the execution content is: delaying the marketing time of individual pigs whose comprehensive indicators do not meet the marketing standards, continuing health monitoring and feeding adjustments, optimizing feed formula and feeding frequency according to health and physiological signs, upgrading the health monitoring frequency of individual pigs whose comprehensive indicators do not meet the marketing standards and taking relevant intervention measures, regularly reviewing and arranging the next analysis process of the health analysis module and marketing assessment module until the comprehensive indicators meet the marketing standards and the marketing is arranged.

[0033] An integrated intelligent control method for factory pig farming comprises the following steps:

[0034] Step 1: Take the pigs in the factory area as the monitoring objects, use smart devices to monitor the daily feeding and weight changes of individual pigs at various breeding stages, and obtain relevant data information of individual pigs;

[0035] Step 2: Analyze the data information related to individual pigs and calculate them through deep machine learning to obtain the feed conversion index Zzh. Mark the individual pigs whose feed conversion index Zzh is close to the optimal feed conversion index Zzj, and issue health analysis instructions at the same time;

[0036] Step 3: After receiving the health analysis instruction, analyze the health signs of the marked individual pigs, combine the trained logistic regression health model, associate the fitted health assessment coefficient Xjk with the feed conversion index Zzh, and analyze the weight compliance of the marked individual pigs to fit and construct the comprehensive market evaluation index Zpg;

[0037] Step 4: Compare and analyze the preset market release assessment threshold H with the comprehensive market release assessment index Zpg to determine whether the comprehensive indicators of the marked individual pigs meet the market release standards, and perform corresponding market release control operations.

[0038] The present invention provides an integrated intelligent control method and system for factory pig farming, which has the following beneficial effects:

[0039] (1) The individual pig monitoring module uses smart devices to monitor the daily feeding and weight changes of pigs at various breeding stages in real time, ensuring that farmers can obtain accurate pig-related data information in a timely manner. Next, the feed conversion analysis module analyzes the data through deep machine learning to obtain the feed conversion index Zzh, and marks individual pigs that are close to the optimal feed conversion index Zzj, to determine whether the physiological signs of individual pigs in the current breeding stage meet the requirements for market release, thereby providing a scientific basis for the judgment and screening of pigs before market release. The health analysis module combines the logistic regression health model to evaluate the health status of pigs and calculate the health assessment coefficient Xjk. Subsequently, the market release assessment module comprehensively considers the health assessment coefficient Xjk and the feed conversion index. Zzh, construct a comprehensive market evaluation index Zpg. Finally, the market control module compares the evaluation threshold H and the comprehensive market evaluation index Zpg to determine whether the comprehensive indicators of pigs meet the market standards, and executes corresponding market control operations. By combining the analysis of individual pigs' physiological signs, individual pigs that meet the market requirements are screened out, and then their health status and weight are checked to see if they meet the standards. The above analysis process can not only improve the scientificity and timeliness of pig market, but also reduce breeding costs, improve the efficiency and economic benefits of factory pig breeding, and provide breeders with a more reliable basis for decision-making. On the whole, the system has introduced intelligent control and management into the pig breeding industry, and improved the efficiency and resource utilization of factory pig breeding.

[0040] (2) By comparing the feed conversion index Zzh and the optimal feed conversion index Zzj, key data support and scientific basis are provided for the decision of pig marketing. The feed conversion index Zzh reflects the feed utilization efficiency of pigs in the current breeding stage, while the optimal feed conversion index Zzj indicates the minimum amount of feed required for each unit of weight gain. The importance of this node lies in that it represents the turning point of pig growth efficiency. When the feed conversion index Zzh is close to the optimal feed conversion index Zzj, it means that the weight growth rate of pigs will tend to stagnate. Continuing breeding may lead to a decrease in weight gain effect, thereby increasing breeding costs. By real-time monitoring of the dynamic change index of feed conversion rate Zdt and comparing it with the preset threshold Z, the system can timely mark individual pigs whose physiological signs meet the marketing standards.

[0041] (3) Through the close integration of the health analysis module and the market evaluation module, the evaluation and optimization of the health status and market conditions of pigs are realized. The health sign monitoring unit collects health data in real time, and calculates the health evaluation coefficient Xjk in combination with the trained logistic regression health model. Through the weight standard analysis unit, the system automatically weighs and constructs the weight standard index Zdb. The construction of the comprehensive market evaluation index Zpg combines the health evaluation coefficient Xjk, the feed conversion index Zzh and the weight standard index Zdb, providing a scientific basis for market decision-making. The judgment unit determines whether the comprehensive indicators of individual pigs meet the market standards through the set evaluation threshold H, and then issues corresponding market control instructions. This dynamic and real-time control and management method not only improves the accuracy of market release, but also ensures that pigs are marketed in the best growth state. At the same time, it reduces breeding costs, improves overall breeding efficiency, and brings significant economic benefits to breeders. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 This is a block diagram of an integrated intelligent control system for factory pig farming of the present invention;

[0043] Figure 2 This is a schematic diagram of the steps of an integrated intelligent control method for factory-based pig farming according to the present invention. DETAILED DESCRIPTION

[0044] 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.

[0045] Example 1

[0046] See also Figure 1The present invention provides an integrated intelligent control system for factory pig farming, including an individual pig monitoring module, a feed conversion analysis module, a health analysis module, a market evaluation module and a market control module;

[0047] The individual pig monitoring module is used to monitor the pigs in the factory area as monitoring objects, and use intelligent devices to monitor the daily feeding and weight changes of individual pigs at various breeding stages to obtain relevant data information of individual pigs;

[0048] The feed conversion analysis module is used to analyze the data information related to individual pigs, and obtain the feed conversion index Zzh through deep machine learning calculation, and mark the individual pigs whose feed conversion index Zzh is close to the optimal feed conversion index Zzj, and issue health analysis instructions at the same time;

[0049] The health analysis module is used to analyze the health signs of the marked individual pigs after receiving the health analysis instruction, and to fit and construct the health assessment coefficient Xjk in combination with the trained logistic regression health model;

[0050] The market evaluation module is used to associate the health evaluation coefficient Xjk with the feed conversion index Zzh, and to fit and construct a comprehensive market evaluation index Zpg by analyzing the weight compliance of the marked individual pigs;

[0051] The market release control module is used to compare and analyze the preset market release assessment threshold H with the comprehensive market release assessment index Zpg to determine whether the comprehensive indicators of the marked individual pigs meet the market release standards and perform corresponding market release control operations.

[0052] In this embodiment, through the coordinated operation of multiple modules, refined management of the entire process from breeding to marketing of individual pigs is achieved. The individual pig monitoring module can collect the feeding data and weight changes of each pig in real time to ensure the mastery of the growth status of the pigs; the feed conversion analysis module uses deep machine learning technology to calculate the feed conversion index Zzh, and marks individual pigs close to the optimal feed conversion index Zzj, providing a scientific basis for the judgment and screening of pigs before marketing; the health analysis module constructs a health assessment coefficient Xjk through a logistic regression model to evaluate the health status of individual pigs before marketing; the marketing assessment module combines the health assessment coefficient Xjk with the feed conversion index Zzh, analyzes the weight compliance of the pigs, and constructs a comprehensive marketing assessment index Zpg, providing a reliable basis for marketing decisions; finally, the marketing control module compares the comprehensive marketing assessment index Zpg with the preset threshold H, so that the pigs whose comprehensive indicators meet the standards can be marketed in time, which not only improves the accuracy of marketing, but also reduces the breeding cost.

[0053] Example 2

[0054] Please refer to Figure 1 ,Specifically: the individual pig monitoring module includes a deployment unit and a monitoring unit;

[0055] The deployment unit is used to monitor the pigs in the factory area, install electronic ear tags on the right ear ends of the piglets introduced in the early stage, the electronic ear tags are all equipped with an RFID chip, each RFID chip has a unique identification code, and the RFID card reader is integrated into the intelligent device, the intelligent device includes automatic feeding equipment, automatic weighing equipment, infrared thermometer and pressure sensor, and obtains the identity number, breeding days, weight, feed consumption and health status data of the pigs in real time through radio frequency identification technology, and numbers the individual pigs installed with the electronic ear tags as individual pig No. 1 P1, individual pig No. 2 P2, individual pig No. 3 P3, ..., individual pig No. n Pn respectively;

[0056] The monitoring unit uses radio frequency identification technology to monitor the daily feeding and weight change status of individual pigs in each breeding stage, and obtains relevant data information of the individual pigs, wherein the relevant data information of the individual pigs includes the weight gain Ttz and feed consumption Lsx in each breeding stage.

[0057] In this embodiment, accurate and automated monitoring and management of pigs in the factory area is achieved through the coordinated use of the deployment unit and the monitoring unit. The deployment unit installs an electronic ear tag on the right ear end of each introduced piglet. The RFID chip embedded in the electronic ear tag has a unique identification code, which can be used for real-time identification and data collection through the RFID card reader in the smart device. The smart device includes an automatic feeding device, an automatic weighing device, an infrared thermometer and a pressure sensor that work together to automatically collect the pig's identity number, breeding days, weight, feed consumption and health status data based on radio frequency identification technology. These data provide a detailed basis for the performance of individual pigs throughout the breeding cycle, and number and divide individual pigs for further management and tracking. The monitoring unit tracks and records the daily feeding and weight changes of each pig at each stage through radio frequency identification technology, including the pig's weight gain Ttz and feed consumption Lsx. The above process achieves accurate monitoring of individual pigs and reduces errors caused by manual observation and judgment.

[0058] Example 3

[0059] Please refer to Figure 1 , specifically: the feed conversion analysis module includes a feed conversion analysis unit and an identification unit;

[0060] The feed conversion analysis unit is used to analyze the data information related to individual pigs in the current breeding stage, and after dimensionless processing and deep machine learning calculation, to obtain the feed conversion index Zzh, and the feed conversion index Zzh is obtained by the following formula;

[0061]

[0062] Wherein, Lsx represents the feed consumption in the current breeding stage, and Ttz represents the weight gain in the current breeding stage.

[0063] Specifically, the identification unit is used to establish an optimal feed conversion index Zzj based on previous breeding data, wherein the optimal feed conversion index Zzj represents the minimum amount of feed consumed by a pig for each additional unit of weight, that is, the pigs that consume the minimum amount of feed for each additional unit of weight in the factory area in the previous stage are selected, and the optimal feed conversion index Zzj is compared with the feed conversion index Zzh in the current breeding stage to obtain a feed conversion rate dynamic change index Zdt; the feed conversion rate dynamic change index Zdt is obtained by the following formula;

[0064] Zdt=Zzh-Zzj;

[0065] The feed conversion index Zzh is the weight change trend of pigs in the entire actual factory pig farming process. Under the same feed amount, the weight change trend of pigs changes from high growth to low growth and then gradually tends to stagnation. The optimal feed conversion index Zzj is the node where the weight change trend changes from high growth to low growth. At this time, the pigs are marketed to maximize the breeding benefits. If the breeding continues, the weight of the pigs will increase slowly, which will increase the breeding cost and is not conducive to the factory breeding of pigs.

[0066] The identification unit is also used to compare and analyze the feed conversion rate dynamic change index Zdt with a preset change threshold Z to determine whether to issue a health analysis instruction. The specific content of the health analysis instruction is as follows;

[0067] If the feed conversion rate dynamic change index Zdt ≤ the change threshold Z, it means that the feed conversion of individual pigs in the current breeding stage is in the best state, and the physiological signs of individual pigs in the current breeding stage meet the requirements for market release, indicating that the weight growth of individual pigs in the current breeding stage may tend to stagnate, and the weight gain effect of continuing to feed will decrease. The individual pigs whose physiological signs meet the requirements for market release are marked by electronic ear tags, and health analysis instructions are issued at the same time;

[0068] If the dynamic change index Zdt of the feed conversion rate is greater than the change threshold Z, it means that the feed conversion of individual pigs in the current breeding stage is not in the optimal state, and the physiological signs of individual pigs in the current breeding stage do not meet the requirements for marketing. This means that the weight of individual pigs in the current breeding stage is still in high growth, and the weight gain effect of continuing to feed will increase. At this time, no additional analysis instructions are issued.

[0069] In this embodiment, the intelligent control level of pig farming is improved through the coordinated work of the feed conversion analysis unit and the identification unit. First, the relevant data information of individual pigs is dimensionlessly processed and analyzed by deep machine learning to obtain the feed conversion index Zzh. This feed conversion index Zzh provides farmers with a growth efficiency indicator to help them monitor the feed utilization of pigs in real time, and compares it with the best feed conversion index Zzj established in previous data to obtain the feed conversion rate dynamic change index Zdt. The system can timely identify the change trend of feed conversion and set the change threshold Z to determine whether the physiological signs of individual pigs meet the requirements for market release. If the feed conversion index Zzh meets the requirements for market release, the feed conversion rate dynamic change index Zdt is obtained. If the dynamic change index of feed conversion rate Zdt ≤ the change threshold Z, it means that the feed conversion of individual pigs is in the best state. At the current breeding stage, the physiological signs of individual pigs meet the requirements for market release, and the weight growth may tend to stagnate. At this time, market release will maximize the breeding benefits and avoid increasing breeding costs due to continued feeding. This means that the weight of pigs is still in a high growth stage. Continuing feeding will help accelerate weight gain. This process can guide breeders to formulate reasonable feed supply strategies. Therefore, the analysis of the feed conversion index Zzh close to the optimal feed conversion index Zzj not only provides timely market release warnings, but also provides a scientific basis for breeding decisions, which helps to optimize resource allocation and improve economic benefits.

[0070] Example 4

[0071] Please refer to Figure 1 ,Specifically: the health analysis module includes a health sign monitoring unit and a health analysis unit;

[0072] The health sign monitoring unit is used to monitor the health sign status of individual pigs whose physiological signs meet the requirements for market release after receiving the health analysis instruction, and obtain the health data information of the individual pigs, wherein the health data information of the individual pigs includes the body temperature Twd, the respiratory rate Ppv and the number of vaccinations Tym;

[0073] The health analysis unit is used to analyze the health data information of the individual pigs, and to fit and construct a health assessment coefficient Xjk in combination with the trained logistic regression health model. The health assessment coefficient Xjk is obtained by the following formula;

[0074]

[0075] In the formula, Twd represents body temperature, Ppv represents respiratory rate, Tym represents the number of vaccinations, ΔTwd represents the preset body temperature standard value, ΔPpv represents the preset respiratory rate standard value, ΔTym represents the preset number of vaccinations standard value, and α, β and γ are all represented as weight values.

[0076] Specifically, the market evaluation module includes a weight compliance analysis unit and a market overall evaluation unit;

[0077] The weight compliance analysis unit is used to weigh the weight compliance of individual pigs whose physiological signs meet the requirements for market release through automatic weighing equipment, obtain the market release weight Tdq of individual pigs, and construct the individual pig weight compliance index Zdb, which is obtained by the following formula;

[0078]

[0079] Where ΔTdq represents the target weight of individual pigs for sale.

[0080] Specifically, the overall evaluation unit for market release is used to associate the health evaluation coefficient Xjk, feed conversion index Zzh and individual pig weight compliance index Zdb of individual pigs whose physiological signs meet the market release requirements after marking, and to construct a comprehensive market release evaluation index Zpg by fitting. The comprehensive market release evaluation index Zpg is obtained by the following formula:

[0081]

[0082] Wherein, Zzj represents the optimal feed conversion index, μ1, μ2 and μ3 represent weight values, and A represents the correction constant.

[0083] In this embodiment, the scientific management level of pig farming is improved through the close combination of the health sign monitoring unit and the health analysis unit. After receiving the health analysis instruction, the health signs of the marked individual pigs are first monitored in real time, and the health data of body temperature Twd, respiratory rate Ppv and number of vaccinations Tym are collected. Then, the trained logistic regression health model is used for analysis to calculate the health assessment coefficient Xjk. The health assessment coefficient Xjk provides the farmer with a quantitative indicator of the health status of the individual pigs, which helps to quickly identify the health status of the individual pigs to be marketed. At the same time, the marketed assessment module uses the weight The compliance analysis unit and the overall marketing assessment unit automatically weigh the weight of individual pigs to obtain the marketing weight Tdq and the weight compliance index Zdb. The comprehensive marketing assessment index Zpg correlates the health assessment coefficient Xjk, the feed conversion index Zzh and the weight compliance index Zdb. The comprehensive marketing assessment index Zpg can not only measure whether the comprehensive indicators of individual pigs meet the marketing standards, but also optimize the marketing time, thereby improving breeding efficiency and reducing costs. Overall, it enhances the intelligent control of factory pig farming, provides scientific decision-making basis for farmers, and improves the efficiency and benefits of factory pig farming.

[0084] Example 5

[0085] Please refer to Figure 1 , specifically: the outgoing control module includes a determination unit and an outgoing control unit;

[0086] The determination unit is used to compare and analyze the preset market evaluation threshold H with the comprehensive market evaluation index Zpg to determine whether the comprehensive index of the marked individual pigs meets the market standard, so as to obtain the corresponding market control instruction, and the specific contents are as follows;

[0087] If the comprehensive market evaluation index Zpg ≥ the market evaluation threshold H, it means that the comprehensive index of the currently marked individual pig meets the market standard, and a first market control instruction is generated;

[0088] If the comprehensive market evaluation index Zpg is less than the market evaluation threshold H, it means that the comprehensive index of the currently marked individual pigs does not meet the market standard, and a second market control instruction is generated.

[0089] Specifically, the exit control unit is used to receive the generated first exit control instruction and the second exit control instruction, and perform corresponding exit control operations, the specific contents of which are as follows;

[0090] When the first market release control instruction is received, the execution content is as follows: individual pigs whose comprehensive indicators meet the market release standards will be marked as market release status, and the breeding staff will be notified to move the pigs from the pen to the market release area, enter the market release process, stop the feed supply, and prepare to send them to the slaughterhouse and sales channels. At the same time, the market release status data will be recorded in the system for real-time data update;

[0091] When the second marketing control instruction is received, the execution content is: delaying the marketing time of individual pigs whose comprehensive indicators do not meet the marketing standards, continuing health monitoring and feeding adjustments, optimizing feed formula and feeding frequency according to health and physiological signs, upgrading the health monitoring frequency of individual pigs whose comprehensive indicators do not meet the marketing standards and taking relevant intervention measures, regularly reviewing and arranging the next analysis process of the health analysis module and marketing assessment module until the comprehensive indicators meet the marketing standards and the marketing is arranged.

[0092] In this embodiment, intelligent and efficient control and management of pig marketing are achieved through the collaboration of the judgment unit and the marketing control unit. The core function of the judgment unit is to compare the comprehensive marketing assessment index Zpg with the preset marketing assessment threshold H, so as to determine whether the comprehensive indicators of the marked individual pigs meet the marketing standards. When the comprehensive marketing assessment index Zpg ≥ the marketing assessment threshold H, the first marketing control instruction is generated, indicating that the comprehensive indicators of the pig have met the standards, and then the breeder is notified to move the pig from the pen to the marketing area to enter the marketing process. This process not only enables pigs that meet the market standards to be marketed in time, thus reducing breeding costs caused by delayed market release, but also avoids unnecessary waste of resources by stopping feed supply. At the same time, all market release status data is recorded in real time to facilitate subsequent tracking and management. Conversely, the system generates a second market release control instruction, indicating that the pigs do not meet the market release standards and the market release time will be delayed. This measure allows farmers to continue to monitor the health and adjust the feeding of these pigs, and improve the health and growth of pigs by optimizing feed formula and feeding frequency until they meet the market release conditions. Overall, dynamic monitoring and intelligent decision-making and control not only improve the breeding benefits, but also provide a scientific basis for farmers, thereby improving the overall efficiency of factory pig farming.

[0093] Example 6

[0094] Please refer to Figure 1 and Figure 2 ,Specifically: An integrated intelligent control method for factory pig farming, comprising the following steps;

[0095] Step 1: Take the pigs in the factory area as the monitoring objects, use smart devices to monitor the daily feeding and weight changes of individual pigs at various breeding stages, and obtain relevant data information of individual pigs;

[0096] Step 2: Analyze the data information related to individual pigs and calculate them through deep machine learning to obtain the feed conversion index Zzh. Mark the individual pigs whose feed conversion index Zzh is close to the optimal feed conversion index Zzj, and issue health analysis instructions at the same time;

[0097] Step 3: After receiving the health analysis instruction, analyze the health signs of the marked individual pigs, combine the trained logistic regression health model, associate the fitted health assessment coefficient Xjk with the feed conversion index Zzh, and analyze the weight compliance of the marked individual pigs to fit and construct the comprehensive market evaluation index Zpg;

[0098] Step 4: Compare and analyze the preset market release assessment threshold H with the comprehensive market release assessment index Zpg to determine whether the comprehensive indicators of the marked individual pigs meet the market release standards, and perform corresponding market release control operations.

[0099] 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. An integrated intelligent control system for factory pig farming, characterized by: It includes individual pig monitoring module, feed conversion analysis module, health analysis module, market evaluation module and market control module; The individual pig monitoring module is used to monitor the pigs in the factory area as monitoring objects, and use intelligent devices to monitor the daily feeding and weight changes of individual pigs at various breeding stages to obtain relevant data information of individual pigs; The feed conversion analysis module is used to analyze the data information related to individual pigs, and obtain the feed conversion index Zzh through deep machine learning calculation, and mark the individual pigs whose feed conversion index Zzh is close to the optimal feed conversion index Zzj, and issue health analysis instructions at the same time; The health analysis module is used to analyze the health signs of the marked individual pigs after receiving the health analysis instruction, and to fit and construct the health assessment coefficient Xjk in combination with the trained logistic regression health model; The market evaluation module is used to associate the health evaluation coefficient Xjk with the feed conversion index Zzh, and to fit and construct a comprehensive market evaluation index Zpg by analyzing the weight compliance of the marked individual pigs; The market release control module is used to compare and analyze the preset market release assessment threshold H with the comprehensive market release assessment index Zpg to determine whether the comprehensive indicators of the marked individual pigs meet the market release standards and perform corresponding market release control operations.

2. The integrated intelligent control system for factory pig farming according to claim 1 is characterized by: The individual pig monitoring module includes a deployment unit and a monitoring unit; The deployment unit is used to monitor the pigs in the factory area, install electronic ear tags on the right ear ends of the initially introduced piglets, each of which is provided with an RFID chip, each of which has a unique identification code, and integrate the RFID card reader into the smart device, so as to obtain the pig's identity number, breeding days, weight, feed consumption and health status data in real time through radio frequency identification technology, and number the individual pigs installed with the electronic ear tags as individual pig number one P1, individual pig number two P2, individual pig number three P3, ..., individual pig number n Pn respectively; The monitoring unit uses radio frequency identification technology to monitor the daily feeding and weight change status of individual pigs in each breeding stage, and obtains relevant data information of the individual pigs, wherein the relevant data information of the individual pigs includes the weight gain Ttz and feed consumption Lsx in each breeding stage.

3. The integrated intelligent control system for factory pig farming according to claim 2 is characterized by: The feed conversion analysis module includes a feed conversion analysis unit and an identification unit; The feed conversion analysis unit is used to analyze the data information related to individual pigs in the current breeding stage, and after dimensionless processing and deep machine learning calculation, obtain the feed conversion index Zzh.

4. The integrated intelligent control system for factory pig farming according to claim 3 is characterized by: The identification unit is used to establish an optimal feed conversion index Zzj based on previous breeding data, wherein the optimal feed conversion index Zzj represents the minimum amount of feed consumed by each additional unit of weight of the pig, that is, to select the pigs that consume the minimum amount of feed per additional unit of weight in the factory area in the previous stage, and compare the optimal feed conversion index Zzj with the feed conversion index Zzh in the current breeding stage to obtain the feed conversion rate dynamic change index Zdt; The identification unit is also used to compare and analyze the feed conversion rate dynamic change index Zdt with a preset change threshold Z to determine whether to issue a health analysis instruction. The specific content of the health analysis instruction is as follows; If the feed conversion rate dynamic change index Zdt ≤ the change threshold Z, it means that the feed conversion of individual pigs in the current breeding stage is in the best state, and the physiological signs of individual pigs in the current breeding stage meet the requirements for market release, and the individual pigs whose physiological signs meet the requirements for market release are marked by electronic ear tags, and health analysis instructions are issued at the same time; If the feed conversion rate dynamic change index Zdt> the change threshold Z, it means that the feed conversion of individual pigs in the current breeding stage is not in the optimal state, and the physiological signs of individual pigs in the current breeding stage do not meet the requirements for marketing, and no additional analysis instructions are issued at this time.

5. The integrated intelligent control system for factory pig farming according to claim 4 is characterized by: The health analysis module includes a health sign monitoring unit and a health analysis unit; The health sign monitoring unit is used to monitor the health sign status of individual pigs whose physiological signs meet the requirements for market release after receiving the health analysis instruction, and obtain the health data information of the individual pigs, wherein the health data information of the individual pigs includes the body temperature Twd, the respiratory rate Ppv and the number of vaccinations Tym; The health analysis unit is used to analyze the health data information of the individual pigs, and to fit and construct a health assessment coefficient Xjk in combination with the trained logistic regression health model.

6. The integrated intelligent control system for factory pig farming according to claim 5 is characterized by: The market evaluation module includes a weight compliance analysis unit and a market overall evaluation unit; The weight compliance analysis unit is used to weigh the weight compliance of individual pigs whose physiological signs meet the requirements for market release through automatic weighing equipment, obtain the market release weight Tdq of individual pigs, and construct the individual pig weight compliance index Zdb.

7. The integrated intelligent control system for factory pig farming according to claim 6 is characterized by: The overall evaluation unit for market release is used to correlate the health evaluation coefficient Xjk, feed conversion index Zzh and individual pig weight compliance index Zdb of individual pigs whose physiological signs meet the market release requirements after marking, and to construct a comprehensive market release evaluation index Zpg by fitting.

8. The integrated intelligent control system for factory pig farming according to claim 7 is characterized by: The outgoing control module includes a determination unit and an outgoing control unit; The determination unit is used to compare and analyze the preset market evaluation threshold H with the comprehensive market evaluation index Zpg to determine whether the comprehensive index of the marked individual pigs meets the market standard, so as to obtain the corresponding market control instruction, and the specific contents are as follows; If the comprehensive market evaluation index Zpg ≥ the market evaluation threshold H, it means that the comprehensive index of the currently marked individual pig meets the market standard, and a first market control instruction is generated; If the comprehensive market evaluation index Zpg is less than the market evaluation threshold H, it means that the comprehensive index of the currently marked individual pigs does not meet the market standard, and a second market control instruction is generated.

9. The integrated intelligent control system for factory pig farming according to claim 8 is characterized by: The exit control unit is used to receive the generated first exit control instruction and the second exit control instruction, and execute the corresponding exit control operation, the specific contents are as follows; When the first market release control instruction is received, the execution content is as follows: individual pigs whose comprehensive indicators meet the market release standards will be marked as market release status, and the breeding staff will be notified to move the pigs from the pen to the market release area, enter the market release process, stop the feed supply, and prepare to send them to the slaughterhouse and sales channels. At the same time, the market release status data will be recorded in the system for real-time data update; When the second marketing control instruction is received, the execution content is: delaying the marketing time of individual pigs whose comprehensive indicators do not meet the marketing standards, continuing health monitoring and feeding adjustments, optimizing feed formula and feeding frequency according to health and physiological signs, upgrading the health monitoring frequency of individual pigs whose comprehensive indicators do not meet the marketing standards and taking relevant intervention measures, regularly reviewing and arranging the next analysis process of the health analysis module and marketing assessment module until the comprehensive indicators meet the marketing standards and the marketing is arranged.

10. An integrated intelligent control method for factory pig farming, used to implement an integrated intelligent control system for factory pig farming as claimed in any one of claims 1 to 9, characterized in that: The steps include: Step 1: Take the pigs in the factory area as the monitoring objects, use smart devices to monitor the daily feeding and weight changes of individual pigs at various breeding stages, and obtain relevant data information of individual pigs; Step 2: Analyze the data information related to individual pigs and calculate them through deep machine learning to obtain the feed conversion index Zzh. Mark the individual pigs whose feed conversion index Zzh is close to the optimal feed conversion index Zzj, and issue health analysis instructions at the same time; Step 3: After receiving the health analysis instruction, analyze the health signs of the marked individual pigs, combine the trained logistic regression health model, associate the fitted health assessment coefficient Xjk with the feed conversion index Zzh, and analyze the weight compliance of the marked individual pigs to fit and construct the comprehensive market evaluation index Zpg; Step 4: Compare and analyze the preset market release assessment threshold H with the comprehensive market release assessment index Zpg to determine whether the comprehensive indicators of the marked individual pigs meet the market release standards, and perform corresponding market release control operations.

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