Intelligent ecological breeding method and system for livestock farm

Abstract

The invention discloses an intelligent ecological breeding method and system for a livestock farm, and relates to the technical field of intelligent ecological breeding, and the method comprises the following steps: 1, building an environment monitoring model, carrying out the all-around monitoring of the environment parameters of a breeding region, and building a physiological monitoring model, and carrying out the real-time and regular monitoring of the state of livestock in the breeding process; 2, after data collection is completed, a processing scheme model is formulated to collect and analyze problems generated during monitoring; 3, in the processing process, data in the processing process are collected, data analysis is carried out after collection is completed, and an overall prevention scheme of the breeding area is made according to an analysis result. According to the system, the breeding efficiency is improved through an intelligent means, resource waste is reduced, and an integrated solution is provided for ecological breeding in a livestock farm.

Description

Technical Field

[0001] This invention relates to the field of intelligent ecological farming technology, specifically to an intelligent ecological farming method and system for livestock farms. Background Technology

[0002] Livestock farming is currently a complex system engineering project requiring meticulous management throughout the entire process. The core of intelligent ecological farming in livestock farms is to achieve ecological goals of energy conservation, emission reduction, and recycling. Chinese patent CN119494747B discloses "A method and system for intelligent ecological farming in livestock farms." This method includes: acquiring livestock farm information, real-time animal information, and real-time environmental information within the livestock farm; determining real-time gas flow information within the livestock farm based on the real-time animal information, livestock farm information, and real-time environmental information; acquiring negative pressure ventilation system information and external air information; determining a negative pressure ventilation strategy based on the negative pressure ventilation system information, external air information, and real-time flow information; and performing negative pressure ventilation operations on the livestock farm according to the negative pressure ventilation strategy. This application achieves dynamic monitoring of gas flow within the livestock farm by acquiring real-time livestock farm information, animal and environmental data, and determining air flow information. By combining the negative pressure ventilation system with external air information, a negative pressure ventilation strategy is determined, ensuring effective regulation of air circulation while improving air quality, thus protecting animal health and the sustainability of the farming environment.

[0003] While existing solutions address the issue of stable ventilation during indoor livestock farming, the current problems stem from the fact that traditional livestock farming relies on human experience, leading to issues such as lagging environmental control, low resource utilization efficiency, and untimely disease warnings. This makes it difficult to achieve ecological and intelligent synergy. The technical challenge lies in how to achieve dynamic optimization of the farming environment, feed management, and health monitoring through data-driven intelligent decision-making, while simultaneously reducing the negative impact of the farming process on the ecological environment. Summary of the Invention

[0004] The purpose of this invention is to provide an intelligent ecological farming method and system for livestock farms to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a smart ecological farming method for livestock farms, comprising the following steps:

[0006] Step 1: Establish an environmental monitoring model to comprehensively monitor the environmental parameters of the breeding area, and establish a physiological monitoring model to monitor the livestock status in real time and periodically during the breeding process. At the same time, monitor the feed and water provided, and collect the monitoring data in a centralized manner.

[0007] Step 2: After data collection is completed, develop a processing plan model to collect and analyze the problems that arise during monitoring, and develop processing plans based on the analysis results to address and prevent them.

[0008] Step 3: During the treatment process, data is collected, and after collection, the data is analyzed. Based on the analysis results, an overall prevention plan for the breeding area is formulated, and a dynamic adjustment plan is developed to adjust the monitoring methods.

[0009] Preferably, in step one, the environmental monitoring model first formulates a general breeding environment monitoring plan according to the breeding model and the production area. The general breeding plan includes an indoor breeding environment monitoring plan, a free-range breeding environment monitoring plan, a semi-free-range and semi-indoor breeding environment monitoring plan, and an ecological cycle breeding environment monitoring plan. During the environmental monitoring process, a video-assisted monitoring plan is formulated, which includes a mobile video shooting and acquisition plan and a fixed video shooting and acquisition plan. Combined with AI image recognition technology, the activity status and density distribution of livestock and poultry are monitored to help determine the environmental comfort level.

[0010] Preferably, in step one, the physiological monitoring model formulates a physiological monitoring plan. The physiological monitoring plan is associated with a video-assisted monitoring plan and analyzes the movement status and sounds of livestock through a mobile video shooting and acquisition plan. The physiological monitoring plan also includes comprehensive monitoring of livestock excrement, body temperature, heart rate and respiratory rate, and weight. The physiological monitoring plan includes indoor breeding monitoring plan, free-range breeding monitoring plan, semi-free-range and semi-indoor breeding monitoring plan, and ecological cycle breeding monitoring plan.

[0011] Preferably, in step one, the feeding monitoring model establishes a feeding monitoring scheme according to different breeding modes, and the feeding monitoring scheme includes an indoor breeding feeding monitoring scheme, a free-range breeding feeding monitoring scheme, a semi-free-range and semi-indoor breeding feeding monitoring scheme, and an ecological cycle breeding feeding monitoring scheme. In the feeding monitoring scheme, manual detection schemes and automated monitoring schemes are respectively formulated.

[0012] Preferably, in step two, the processing scheme model formulates environmental processing schemes, physiological processing schemes, and feeding processing schemes respectively. The environmental processing scheme is associated with the monitoring data management platform. After association, the data stored in the monitoring data management platform is comprehensively analyzed. Through the integration of Internet of Things and big data technology, real-time data generated during environmental monitoring is perceived. After comprehensive analysis, environmental pollution is graded and treated, specifically into three levels: Level 1 (most serious), Level 2 (moderate), and Level 3 (minor and unaffected). Based on the results of comprehensive analysis, dynamic processing schemes are formulated, including indoor breeding environment processing schemes, free-range breeding environment processing schemes, semi-free-range and semi-indoor breeding environment processing schemes, and ecological cycle breeding environment processing schemes. Within the indoor breeding environment processing scheme, free-range breeding environment processing scheme, semi-free-range and semi-indoor breeding environment processing scheme, and ecological cycle breeding environment processing scheme, a first processing scheme, a second processing scheme, and a third processing scheme are formulated respectively.

[0013] Preferably, the physiological treatment scheme is associated with the physiological data management platform and a multi-species physiological treatment scheme is formulated. The multi-species physiological treatment scheme includes a treatment scheme for small and medium-sized livestock and a treatment scheme for large-sized livestock. The multi-species physiological treatment scheme is carried out in accordance with the direction of reproductive cycle, nutritional regulation, environmental adaptation and disease prevention and control. The reproductive cycle is treated by precise regulation according to the type and size of livestock. The nutritional regulation is classified and precisely treated according to the size and type of livestock. The environmental adaptation includes temperature and humidity control, ventilation regulation and light management. The disease prevention and control includes vaccination, sanitation and disinfection, disease detection and harmless treatment.

[0014] Preferably, the feeding treatment plan is linked to the feeding monitoring database, and includes feed problem treatment plan, drinking water problem treatment plan and comprehensive control plan. A feeding database is also established to centrally collect the data generated during the feeding treatment process.

[0015] Preferably, in step three, the data processing and analysis, as well as the overall optimization and prevention measures, are linked with the environmental database, physiological database, and feeding database during the processing. After the linkage, the collected data is comprehensively analyzed and processed. During the analysis and processing, a processing analysis plan is built, which includes an environmental monitoring optimization plan and a processing plan model optimization plan. The monitoring optimization plan optimizes environmental monitoring, while the processing plan model optimization plan analyzes the data generated during the implementation of the processing plan and then optimizes and adjusts it. During the optimization and adjustment process, real-time analysis is performed by experts and analysis software.

[0016] Preferably, during the optimization process, prevention plans are formulated to prevent and control each stage of the breeding process. These prevention plans include indoor breeding prevention plans, free-range breeding prevention plans, semi-free-range and semi-indoor breeding prevention plans, and ecological cycle breeding prevention plans. The prevention levels of these plans are categorized as high, medium, and low. High-level prevention plans involve comprehensive prevention within six hours, medium-level plans within twelve hours, and low-level plans within twenty-four hours. The effectiveness of the prevention is collected and analyzed, and the processing time of the prevention plans is shortened based on the analysis results. After the prevention plans are formulated, a traceability plan is developed using blockchain technology, and real-time traceability investigations are conducted during the implementation of the prevention plans.

[0017] A smart ecological livestock farming system includes an environmental monitoring unit, a monitoring and processing unit, and an optimization and prevention unit.

[0018] The environmental monitoring unit establishes an environmental monitoring model to monitor the environmental parameters of the breeding area in all aspects, and establishes a physiological monitoring model to monitor the livestock status in real time and periodically during the breeding process. At the same time, it monitors the feed and water provided, and collects the monitoring data in a centralized manner.

[0019] After the monitoring and processing unit completes the data collection, it develops a processing plan model to collect and analyze the problems that arise during monitoring, and then develops a processing plan based on the analysis results to handle and prevent them.

[0020] During the processing, the optimized prevention unit collects data, analyzes the data after collection, formulates an overall prevention plan for the breeding area based on the analysis results, and formulates a dynamic adjustment plan to adjust the monitoring method based on the analysis results.

[0021] Compared with the prior art, the beneficial effects of the present invention are:

[0022] This invention enables the development of a monitoring and intelligent farming plan that incorporates different farming modes during the breeding process. During implementation, the plan allows for the application of the appropriate intelligent farming plan based on the specific farming mode, increasing applicability and reducing limitations. By collecting real-time environmental parameters, livestock physiological data, and feed consumption data, and utilizing IoT and big data analytics, a dynamic control plan is established to automatically adjust equipment such as ventilation, feeding, and manure removal. Furthermore, the invention analyzes the results of the implemented intelligent farming plan and dynamically adjusts the implementation scheme after analysis, ensuring accuracy during implementation. Attached Figure Description

[0023] Figure 1 This is a schematic diagram of the method flow provided in an embodiment of the present invention. Detailed Implementation

[0024] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0025] Example 1

[0026] Please see Figure 1 This invention provides a technical solution: an intelligent ecological farming method for livestock farms, comprising the following steps:

[0027] Step 1: Establish an environmental monitoring model to comprehensively monitor the environmental parameters of the breeding area, and establish a physiological monitoring model to monitor the livestock status in real time and periodically during the breeding process. At the same time, monitor the feed and water provided, and collect the monitoring data in a centralized manner.

[0028] Step 2: After data collection is completed, develop a processing plan model to collect and analyze the problems that arise during monitoring, and develop processing plans based on the analysis results to address and prevent them.

[0029] Step 3: During the treatment process, data is collected, and after collection, the data is analyzed. Based on the analysis results, an overall prevention plan for the breeding area is formulated, and a dynamic adjustment plan is developed to adjust the monitoring methods.

[0030] In step one, the environmental monitoring model first formulates a general environmental monitoring plan based on the breeding model and production area. The general breeding plan includes an indoor breeding environment monitoring plan, a free-range breeding environment monitoring plan, a semi-free-range and semi-indoor breeding environment monitoring plan, and an ecological cycle breeding environment monitoring plan. During the environmental monitoring process, a video-assisted monitoring plan is formulated, which includes a mobile video shooting and acquisition plan and a fixed video shooting and acquisition plan. Combined with AI image recognition technology, the activity status and density distribution of livestock and poultry are monitored to help judge the environmental comfort. When the mobile video shooting and acquisition plan and the fixed video shooting and acquisition plan collect image data of individual livestock and poultry, groups, and the breeding environment, feature extraction and analysis are performed using a deep learning model (such as a CNN convolutional neural network). Image samples of livestock are extracted in advance, and after extraction, training and learning are performed. A livestock scene terminal is built through multimodal data to improve the accuracy of AI image recognition.

[0031] (1) The indoor breeding environment monitoring plan shall formulate a periodic calibration plan during monitoring, and the monitoring terminal shall be tested and calibrated through the periodic calibration plan. The indoor breeding environment monitoring plan includes the following steps:

[0032] ① Monitor temperature and humidity. Set up monitoring points in different areas of the house (such as air inlet, air outlet, feeding area and manure area) and at different heights. Record the data 3-4 times a day. At the same time, avoid direct sunlight or placing the equipment near heat / cold sources.

[0033] ② Monitor harmful gases in the barn, including ammonia, hydrogen sulfide and carbon dioxide. Sampling is carried out in the lower space (where the density of harmful gases is high) and the manure accumulation area. The concentration of ammonia is read by gas extraction and color development. The portable detector can directly display the value. Monitor 1-2 times a day. At the same time, set thresholds for gas monitoring. The concentration of ammonia in livestock and poultry barns should be <20ppm, hydrogen sulfide <10ppm and carbon dioxide <3000ppm.

[0034] ③ Monitor lighting and ventilation. When monitoring lighting, use an illuminance meter to measure the surface where livestock and poultry are active. Adjust the light according to the breed requirements (e.g., laying hens need 10-20 lux, broilers need 5-10 lux). Record the duration and intensity of lighting. When monitoring ventilation, use an anemometer to measure the wind speed at the air vents inside the house. Combine the ventilation efficiency with the pressure difference inside the house. Manually assess the odor and stuffiness inside the house.

[0035] (2) The environmental monitoring plan for free-range aquaculture is formulated to carry out comprehensive monitoring through manual inspection and automatic monitoring. According to the different species of free-range aquaculture, different monitoring plans with different focus are formulated. Corresponding monitoring focus is set in advance for different species, and the following steps are included.

[0036] ① Use monitoring tools to patrol the breeding area twice a day, morning and evening, and record the temperature, humidity and wind speed of different zones of the breeding area (uphill, downhill, sunny, shady, woodland and grassland). Combine weather APP warnings of rainstorms and extreme conditions such as high temperature (>32℃) and low temperature (<0℃) to adjust the activity area of ​​livestock and poultry in a timely manner (such as moving to shady woodland during high temperature). Pay attention to the microclimate caused by terrain differences (such as water accumulation in valleys and high wind speed at the top of slopes) and avoid livestock and poultry gathering in high-risk areas.

[0037] ② Use a portable water quality testing kit (to test pH, turbidity, and E. coli) to sample and test two to three times a week (focusing on monitoring flowing water sources and drinking troughs). Observe whether the water source has an odor, turbidity, or floating matter. If the above conditions are found, replace the contaminated drinking water. Manually check whether the feed at the supplementary feeding point is moldy or damp. If mold or dampness is found, replace the feed and record the time the feed has been stored (no more than 24 hours in summer to avoid mold poisoning).

[0038] ③ By combining with mobile video shooting and collection solutions, and by using drones for patrol and monitoring, we can quickly patrol a wide area to inspect the distribution of livestock and poultry (to avoid gathering / loss), locate areas with concentrated manure and sewage (to plan cleanup), survey the terrain (to check for water accumulation / landslides after heavy rain), and assess vegetation cover (to evaluate grazing carrying capacity).

[0039] ④ Depending on the breed of livestock being raised, wearable terminals are used, including GPS collars, GPS leg bands, and integrated body temperature sensors, to track the location of livestock and poultry in real time (viewable via a mobile app), set up electronic fences (with boundary crossing alarms), monitor individual body temperature (providing early warnings of disease when abnormalities occur), and record activity trajectories (for analyzing grazing areas). Portable mobile monitoring devices are also used, with patrol personnel carrying these devices to randomly check environmental parameters in different areas (such as water quality at remote drinking water points and gas concentration in temporary manure areas). The data is uploaded to mobile phones in real time to avoid missed detections.

[0040] ⑤ Adjust the location of fixed-point monitoring equipment in a timely manner according to changes in the activity range of livestock and poultry (such as seasonal migration and grazing rotation) to avoid monitoring blind spots, and the monitoring focus should be different for different types of free-range livestock;

[0041] (3) In the implementation of the semi-free-range and semi-shed farming environment monitoring program, a category statistical plan is formulated according to the different types of livestock. The semi-free-range and semi-shed livestock are statistically classified and labeled after classification. The monitoring is carried out by a combination of manual inspection and automated equipment.

[0042] ① Monitoring of the area inside the shed includes temperature and humidity, gas monitoring, ventilation efficiency monitoring, and supplementary feeding and watering monitoring. Temperature and humidity monitoring is carried out by placing a fixed electronic thermometer and hygrometer one meter above the ground in the middle of the shed and collecting data once in the morning and once in the evening. In addition, a dirt-resistant temperature and humidity sensor is set up in the shed for real-time monitoring, and the monitoring thresholds for temperature and humidity inside the shed are set in advance.

[0043] Gas monitoring involves deploying portable gas detectors inside the shed or electrochemical gas sensors inside the shed and in the manure area. The portable gas detectors monitor once a day before closing at night, while the electrochemical gas sensors monitor in real time and trigger alarms when levels exceed limits.

[0044] Ventilation efficiency is monitored by installing an anemometer or differential pressure sensor and wind speed sensor at the air outlet. The anemometer is used to monitor once each in the morning, noon and evening, while the differential pressure sensor and wind speed sensor are used for real-time monitoring.

[0045] Supplemental feeding and watering were monitored through manual inspections and water quality testing kits. Feed was monitored three times a day and drinking water was monitored once a day.

[0046] ② Monitoring of outdoor free-range areas includes meteorological conditions, soil conditions, water quality, forage conditions, and manure distribution. Meteorological conditions are monitored using a combination of mobile phone software and portable thermometers and hygrometers, three times a day, and six times a day in special weather conditions. Real-time monitoring and data collection are carried out through an integrated outdoor weather station.

[0047] The monitoring of densely grazing areas and manure accumulation areas is conducted two to five times a week using soil pH meters and soil moisture meters. If the data analysis after monitoring shows abnormalities, the monitoring frequency is increased. The condition of forage and the distribution of manure are monitored three times a week through manual patrols, drone patrols and fixed-point patrols. The data generated during the monitoring are collected in a centralized manner.

[0048] ③ Linked monitoring and intelligent control processing, and the establishment of a monitoring data management platform. The data generated by the sensors deployed outdoors and indoors are uniformly uploaded to the monitoring data management platform. The monitoring linkage threshold between indoor and outdoor is set. When the outdoor monitoring threshold reaches the trigger value, the monitoring data management platform will automatically control the working equipment and monitoring terminals inside the barn, as well as the special control during the transfer period. When livestock are transferred from outdoors to indoors, the working equipment inside the barn will be triggered in advance to control the temperature, humidity and ventilation inside the barn in advance.

[0049] (4) When conducting monitoring of the ecological circular aquaculture environment, the monitoring includes water quality monitoring, air quality monitoring, soil quality monitoring and aquaculture waste monitoring. The chemical reaction principle is used to determine the content of the substance to be tested by measuring the amount of reaction products or the amount of reactants consumed, thereby measuring indicators such as acidity, alkalinity, chemical oxygen demand, dissolved oxygen, sulfide and cyanide in water quality monitoring.

[0050] Chemical instrument analysis methods are used to analyze the structure of metals, organic matter and pollutants in the ecological aquaculture area, and the environmental quality is assessed by using indicator organisms’ sensitivity to pollutants or community changes.

[0051] By installing sensors, data acquisition devices, and other equipment, real-time online monitoring of aquaculture environmental parameters can be achieved. For example, ammonia sensors, carbon dioxide sensors, temperature and humidity sensors can be used to monitor various environmental parameters inside the sheds and upload the data to the monitoring data management platform to achieve remote monitoring and automated control. Satellite or drone remote sensing platforms can be used to monitor the surrounding environment of the farm over a wide area and upload the data generated during monitoring to the monitoring data management platform. The monitoring data management platform connects various monitoring data and stores the data according to date.

[0052] In step one, the physiological monitoring model formulates a physiological monitoring plan. The physiological monitoring plan is linked with the video-assisted monitoring plan and analyzes the movement status and sounds of livestock through a mobile video shooting and acquisition plan. The physiological monitoring plan also includes comprehensive monitoring of livestock excrement, body temperature, heart rate and respiratory rate, and weight. The physiological monitoring plan includes indoor breeding monitoring plan, free-range breeding monitoring plan, semi-free-range and semi-indoor breeding monitoring plan, and ecological cycle breeding monitoring plan.

[0053] A physiological data management platform is established to collect problem data generated by the physiological monitoring program. After collection, the data is labeled according to the collection time, and the physiological data of livestock is analyzed. The analysis adopts a combination of expert manual analysis and relevant instruments. During the analysis process, the data collected within the monitoring data management platform is centrally managed. Through data sharing between different breeding models, and by linking the analysis with the breeding environment data, the results are more consistent with the actual situation.

[0054] In step one, the feeding monitoring model establishes a feeding monitoring scheme based on different breeding modes. The feeding monitoring scheme includes indoor breeding feeding monitoring scheme, free-range breeding feeding monitoring scheme, semi-free-range and semi-indoor breeding feeding monitoring scheme, and ecological cycle breeding feeding monitoring scheme. In the feeding monitoring scheme, manual detection scheme and automated monitoring scheme are respectively formulated. The manual monitoring and automated monitoring scheme simultaneously monitor feed mold, foreign matter contamination, moisture content, nutrient composition, storage temperature and humidity, pests and rodents, palatability / feeding and feeding waste. During the monitoring process, data on the feed source transportation nodes are collected. After the collection is completed, a source database is established for centralized collection.

[0055] Manual monitoring involves regular inspections and screenings, testing using specialized testing equipment and pre-deployed testing terminals, and sending samples to specialized testing institutions for testing.

[0056] The automated monitoring solution monitors feed mold by deploying mold early warning sensors (detecting aflatoxin and vomitoxin levels in the feed) and linking them with storage temperature and humidity sensors for alarm activation. Foreign object contamination is addressed by installing metal detectors and foreign object sorting machines on the feed production line, and by deploying video surveillance and AI-powered foreign object identification in the storage area. Moisture content is monitored in real-time by installing online moisture sensors on feed mixers and conveying pipelines. Nutrient composition is rapidly detected on-site using a near-infrared spectroscopy analyzer, and the ratio is dynamically adjusted in conjunction with the formulation system. Storage temperature and humidity are automatically monitored by deploying storage temperature and humidity sensors and using LoRa wireless transmission in the storage area, triggering an automatic alarm when thresholds are exceeded. For pests and rodents, pest traps and infrared sensors are deployed, and a rodent monitor provides real-time feedback on pest density. Palatability / feeding utilizes a precision feeding system, monitoring feed intake through trough weighing sensors, analyzing feeding patterns with AI, and observing feeding behavior through video surveillance. Waste feeding is addressed by using trough flow sensors and scattered feed recovery weighing devices to automatically calculate the waste rate.

[0057] Adaptive drinking water monitoring programs are developed based on different breeding scenarios. These programs include indoor breeding, semi-indoor and free-range breeding, and large-scale breeding. Regular and comprehensive spot checks are conducted during the monitoring process, and the testing equipment is calibrated.

[0058] The monitoring method for indoor feeding is as follows: the waterers are checked twice a day, once in the morning and once in the evening, the amount of water consumed is recorded, and the water system is cleaned and disinfected weekly. During hot weather, it is cleaned and disinfected every three days.

[0059] The monitoring methods for semi-enclosed and free-range grazing include: focusing on natural water sources, conducting comprehensive inspections manually every week, performing high-frequency detection manually using portable detection equipment after rainfall, and conducting daily inspections and cleaning of outdoor drinking troughs, monitoring water temperature and water consumption in winter.

[0060] The specific monitoring methods for large-scale breeding are as follows: monthly comprehensive cleaning and disinfection of water tanks and reservoirs, comprehensive cleaning and disinfection every half month during high-temperature weather, quarterly inspection of the inside of the conveying pipeline, and treatment with high-pressure water guns when foreign objects are detected.

[0061] A feeding monitoring database is established to centrally collect data generated during the monitoring process and to link it with the source database. The collected data is then classified and labeled.

[0062] In step two, the treatment scheme model formulates environmental treatment schemes, physiological treatment schemes, and feeding treatment schemes. The environmental treatment scheme is associated with the monitoring data management platform. After association, the data stored in the monitoring data management platform is comprehensively analyzed. Through the integration of IoT and big data technologies, real-time data generated during environmental monitoring is perceived. After comprehensive analysis, environmental pollution is graded into three levels: Level 1, Level 2, and Level 3, where Level 1 is the most serious, Level 2 is moderate, and Level 3 is slight and unaffected. Based on the results of the comprehensive analysis, dynamic treatment schemes are formulated, including indoor breeding environment treatment schemes, free-range breeding environment treatment schemes, semi-free-range and semi-indoor breeding environment treatment schemes, and ecological cycle breeding environment treatment schemes. Within the indoor breeding environment treatment scheme, free-range breeding environment treatment scheme, semi-free-range and semi-indoor breeding environment treatment scheme, and ecological cycle breeding environment treatment scheme, a first treatment scheme, a second treatment scheme, and a third treatment scheme are formulated respectively.

[0063] When the environmental level is determined to be Level 1, the first treatment plan will be initiated within six hours. When the environmental level is determined to be Level 2, the second treatment plan will be initiated within twelve hours. When the environmental level is determined to be Level 3, the treatment will be delayed. An environmental database will be established to centrally collect the data generated during the treatment process, and the collected data will be classified and collected by month.

[0064] The physiological treatment plan is linked to the physiological data management platform and formulates multi-species physiological treatment plans, including treatment plans for small and medium-sized livestock and treatment plans for large-sized livestock. The multi-species physiological treatment plans are implemented according to the direction of reproductive cycle, nutritional regulation, environmental adaptation and disease prevention and control. The reproductive cycle is precisely regulated according to the type and size of the livestock. Nutritional regulation is classified and precisely treated according to the size and type of the livestock. Environmental adaptation includes temperature and humidity control, ventilation regulation and light management. Disease prevention and control includes vaccination, sanitation and disinfection, disease detection and harmless treatment.

[0065] The multi-species physiological treatment program includes a primary treatment program, a secondary treatment program, and a tertiary treatment program. The primary, secondary, and tertiary treatment programs address the problems caused by the treatment programs for small-sized and large-sized livestock. The primary treatment program addresses the most serious problems, the secondary treatment program addresses the moderate problems, and the tertiary treatment program addresses the minor problems. The treatment is carried out using a comprehensive approach with artificial assistance and regulation.

[0066] During the implementation of the multi-species physiological treatment program, the generated data is collected in real time, and a physiological database is built to centrally classify and process the collected data. The data is classified and saved by month, and identical data are merged during the saving process.

[0067] The feeding treatment plan is linked to the feeding monitoring database, and includes feed problem treatment plan, drinking water problem treatment plan and comprehensive control plan. A feeding database is also established to centrally collect the data generated during the feeding treatment process.

[0068] (1) Among them, the feed problem handling plan includes feed quality handling, feed ratio handling and improper feed storage handling. The feed quality handling method is: immediately stop using unqualified feed and seal or return it. Trace the source through the quality traceability system to find out the production batch, raw material source and processing link of the problematic feed. Formulate a feed replacement plan to replace the problematic feed and strengthen the testing of feed, increase the frequency of feed testing, and focus on key indicators such as mycotoxins, heavy metals and antibiotic residues.

[0069] The feed formulation process involves adjusting the feed ratio according to the livestock breed, growth stage (such as fattening period and gestation period) and activity level, and feeding them in groups. They are grouped according to their weight, sex or physiological state, and provided with differentiated feed and functional additives.

[0070] The following are the methods for handling improper feed storage: Store feed in a dry, ventilated and dark warehouse, control the temperature and humidity, clean it regularly, check feed bags for damage every week, clean up moldy feed in time to prevent cross-contamination, and use anti-mold agents during hot and humid seasons.

[0071] (2) The drinking water problem treatment plan includes water pollution treatment, water source shortage and unstable supply treatment and water temperature abnormality treatment. Among them, water pollution treatment includes physical treatment, chemical purification and biological purification. Water source shortage and unstable supply treatment includes water source storage treatment, multi-source water supply treatment and equipment maintenance. Water temperature abnormality treatment plan is formulated with seasonal treatment plan, specifically: summer cooling treatment and winter heat preservation treatment.

[0072] (3) The comprehensive control plan is regularly tested, feed and water are treated weekly, and sensors are deployed in the water and feed areas for monitoring. Emergency plans are formulated and drills are conducted. Emergency plans for sudden events such as feed shortages and water pollution are formulated and drills are organized every quarter. Backup resources are set up to reserve emergency feed and disinfectants, and a mutual assistance mechanism is established with surrounding farms.

[0073] In step three, data processing and analysis, as well as overall optimization and preventative measures, are linked with environmental, physiological, and feeding databases during the processing. After linking, the collected data is comprehensively analyzed and processed. During the analysis and processing, a processing analysis plan is built, which includes an environmental monitoring optimization plan and a processing plan model optimization plan. The monitoring optimization plan optimizes environmental monitoring, while the processing plan model optimization plan analyzes and adjusts the data generated during the implementation of the processing plan. During the optimization and adjustment process, real-time analysis is conducted using experts and analysis software.

[0074] Three optimization adjustment schemes were formulated for the environmental monitoring optimization scheme and the treatment scheme model optimization scheme, respectively. The first optimization adjustment scheme has the largest optimization adjustment range and adopts a comprehensive approach of expert collaboration during the optimization adjustment. The second optimization adjustment scheme has a medium optimization adjustment range and involves on-site staff and managers to provide suggestions and participate in the process. The third optimization adjustment scheme has the smallest optimization adjustment range and involves on-site technical personnel in the process.

[0075] During the optimization process, preventative measures are developed to address each stage of the breeding process. These measures include indoor breeding, free-range breeding, semi-free-range / semi-indoor breeding, and ecological cycle breeding. The prevention levels are categorized as high, medium, and low. High-level measures involve comprehensive prevention within six hours, medium-level measures within twelve hours, and low-level measures within twenty-four hours. The effectiveness of these measures is collected and analyzed, and the processing time is adjusted based on the analysis results. After the preventative measures are developed, a traceability system is established using blockchain technology, enabling real-time traceability investigations during implementation.

[0076] Example 2

[0077] A smart ecological livestock farming system includes an environmental monitoring unit, a monitoring and processing unit, and an optimization and prevention unit.

[0078] The environmental monitoring unit establishes an environmental monitoring model to monitor the environmental parameters of the breeding area in all aspects, and establishes a physiological monitoring model to monitor the livestock status in real time and periodically during the breeding process. At the same time, it monitors the feed and water provided, and collects the monitoring data in a centralized manner.

[0079] After the monitoring and processing unit completes the data collection, it develops a processing plan model to collect and analyze the problems that arise during monitoring, and then develops a processing plan based on the analysis results to handle and prevent them.

[0080] During the processing, the optimized prevention unit collects data, analyzes the data after collection, formulates an overall prevention plan for the breeding area based on the analysis results, and formulates a dynamic adjustment plan to adjust the monitoring method based on the analysis results.

[0081] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0082] 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 intelligent ecological breeding in a livestock farm, characterized in that Comprise the following steps: Step one: build an environmental monitoring model to monitor the environmental parameters of the breeding area in all directions, and build a physiological monitoring model to monitor the state of livestock in the breeding process in real time and regularly, and monitor the feed and water, and collect the data at the time of monitoring; Step two: when the data collection is completed, a processing scheme model is developed to collect and analyze the problems generated during monitoring, and a processing scheme is developed according to the analysis results to process and prevent; Step three: during the processing process, the data during the processing process is collected, and when the collection is completed, the data is analyzed, and the overall prevention scheme of the breeding area is developed according to the analysis results, and the dynamic adjustment scheme is developed according to the analysis results to adjust the monitoring method.

2. The intelligent ecological breeding method for livestock farms according to claim 1, characterized in that: The environmental monitoring model in step one first formulates a total breeding environment monitoring scheme according to the breeding model and the place of production, and the total breeding scheme includes a shed breeding environment monitoring scheme, a free-range breeding environment monitoring scheme, a semi-free-range and semi-shed breeding environment monitoring scheme, and an ecological cycle breeding environment monitoring scheme. In the environmental monitoring process, a video auxiliary monitoring scheme is developed, and the video auxiliary monitoring scheme includes a mobile video shooting and collection scheme and a fixed video shooting and collection scheme, and combines AI image recognition technology to monitor the activity state and density distribution of livestock and poultry, and assist in judging the environmental comfort.

3. The intelligent ecological breeding method for livestock farms according to claim 2, characterized in that: The physiological monitoring model in step one formulates a physiological monitoring scheme, which is associated with the video auxiliary monitoring scheme, analyzes the movement state and sound of livestock through the mobile video shooting and collection scheme, and the physiological monitoring scheme also includes comprehensive monitoring of livestock excrement, body temperature, heart rate, respiratory rate and body weight. The physiological monitoring scheme includes a shed breeding monitoring scheme, a free-range breeding monitoring scheme, a semi-free-range and semi-shed breeding monitoring scheme, and an ecological cycle breeding monitoring scheme.

4. The intelligent ecological breeding method for livestock farms according to claim 3, characterized in that: The feeding monitoring model in step one sets up a mode feeding monitoring scheme according to different breeding modes, and the mode feeding monitoring scheme includes a shed breeding feeding monitoring scheme, a free-range breeding feeding monitoring scheme, a semi-free-range and semi-shed breeding feeding monitoring scheme, and an ecological cycle breeding feeding monitoring scheme. In the mode feeding monitoring scheme, manual detection scheme and automatic monitoring scheme are respectively developed.

5. The intelligent ecological breeding method for livestock farms according to claim 4, characterized in that: In step two, the treatment scheme model formulates environmental treatment schemes, physiological treatment schemes, and feeding treatment schemes. The environmental treatment scheme is associated with the monitoring data management platform. After association, the data stored in the monitoring data management platform is comprehensively analyzed. Through the integration of IoT and big data technologies, real-time data generated during environmental monitoring is perceived. After the comprehensive analysis is completed, environmental pollution is graded into three levels: Level 1, Level 2, and Level 3, where Level 1 is the most serious, Level 2 is moderate, and Level 3 is slight and unaffected. Based on the results of the comprehensive analysis, dynamic treatment schemes are formulated, including indoor breeding environment treatment schemes, free-range breeding environment treatment schemes, semi-free-range and semi-indoor breeding environment treatment schemes, and ecological cycle breeding environment treatment schemes. Within the indoor breeding environment treatment scheme, free-range breeding environment treatment scheme, semi-free-range and semi-indoor breeding environment treatment scheme, and ecological cycle breeding environment treatment scheme, a first treatment scheme, a second treatment scheme, and a third treatment scheme are formulated respectively.

6. The intelligent ecological breeding method for livestock farms according to claim 5, characterized in that: The physiological treatment plan is linked to the physiological data management platform and formulates multi-species physiological treatment plans, including treatment plans for small and medium-sized livestock and treatment plans for large-sized livestock. The multi-species physiological treatment plans are implemented according to the direction of reproductive cycle, nutritional regulation, environmental adaptation and disease prevention and control. The reproductive cycle is precisely regulated according to the type and size of the livestock. Nutritional regulation is classified and precisely treated according to the size and type of the livestock. Environmental adaptation includes temperature and humidity control, ventilation regulation and light management. Disease prevention and control includes vaccination, sanitation and disinfection, disease detection and harmless treatment.

7. The intelligent ecological breeding method for livestock farms according to claim 6, characterized in that: The feeding treatment plan is linked to the feeding monitoring database, and includes feed problem handling plan, drinking water problem handling plan and comprehensive control plan. The feeding database is established to centrally collect the data generated during the feeding treatment process.

8. The intelligent ecological breeding method for livestock farms according to claim 7, characterized in that: In step three, data processing and analysis, as well as overall optimization and preventative measures, involve linking the data with environmental, physiological, and feeding databases. After linking, the collected data undergoes comprehensive analysis and processing. During this analysis, a processing and analysis plan is developed, which includes an environmental monitoring optimization plan and a processing plan model optimization plan. The monitoring optimization plan optimizes environmental monitoring, while the processing plan model optimization plan analyzes the data generated during the implementation of the processing plan and then makes optimization adjustments. During the optimization and adjustment process, real-time analysis is conducted using experts and analysis software.

9. The intelligent ecological breeding method for livestock farms according to claim 8, characterized in that: During the optimization process, preventative measures are developed to address each stage of the breeding process. These measures include indoor breeding, free-range breeding, semi-free-range / semi-indoor breeding, and ecological cycle breeding. The prevention levels are categorized as high, medium, and low. High-level measures involve comprehensive prevention within six hours, medium-level measures within twelve hours, and low-level measures within twenty-four hours. The effectiveness of these measures is collected and analyzed, and the processing time is adjusted based on the analysis results. After the preventative measures are developed, a traceability system is established using blockchain technology, enabling real-time traceability investigations during implementation.

10. A smart ecological breeding system for livestock farms, characterized in that: The intelligent ecological farming system for livestock farms is applicable to the intelligent ecological farming method for livestock farms as described in claim 9, and includes an environmental monitoring unit, a monitoring and processing unit, and an optimization and prevention unit. The environmental monitoring unit establishes an environmental monitoring model to monitor the environmental parameters of the breeding area in all aspects, and establishes a physiological monitoring model to monitor the livestock status in real time and periodically during the breeding process. At the same time, it monitors the feed and water provided, and collects the monitoring data in a centralized manner. After the monitoring and processing unit completes the data collection, it develops a processing plan model to collect and analyze the problems that arise during monitoring, and then develops a processing plan based on the analysis results to handle and prevent them. During the processing, the optimized prevention unit collects data, analyzes the data after collection, formulates an overall prevention plan for the breeding area based on the analysis results, and formulates a dynamic adjustment plan to adjust the monitoring method based on the analysis results.

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