Cow informatization intelligent management method and system

Abstract

The invention discloses a dairy cow informatization intelligent management method and system, and the method comprises the following steps: 1, multi-source data perception: carrying out the multi-source data perception through an Internet of Things perception terminal disposed on a dairy cow individual, a breeding environment and production equipment; collecting identity data, physiological behavior data, milk production performance data, individual ingestion data and environment data of the dairy cow in real time; step 2, a data transmission and convergence step: transmitting the multi-source data to a data center in real time through a wireless communication network for standardization processing and storage, and constructing a dynamically updated full life cycle digital file for each dairy cow; and step 3, a collaborative analysis and intelligent diagnosis step: based on the digital archive, performing fusion analysis on the multi-dimensional data by using a plurality of preset artificial intelligence analysis models. The invention relates to the technical field of intelligent agriculture and livestock breeding, solves the problems of data islands and analysis lag in the prior art, and realizes intelligent management of cow individuals.

Description

Technical Field

[0001] This invention relates to the fields of smart agriculture and animal husbandry technology, and in particular to an information-based intelligent management method and system for dairy cows. Background Technology

[0002] The dairy industry is an important indicator of the development level of animal husbandry and agriculture, playing a vital role in improving residents' dietary structure, promoting agricultural industrial restructuring, and increasing farmers' income. Traditional dairy farming management relies heavily on manual experience for individual observation and decision-making, which suffers from problems such as coarse monitoring granularity, delayed data feedback, and strong subjectivity in decision-making. Although existing technologies include single-function devices or systems such as electronic ear tags, pedometers, and reproductive management software, these devices or systems typically operate independently, with inconsistent data formats and lack of interconnectivity, forming "information silos." This makes it difficult to achieve comprehensive, multi-dimensional, and full-cycle analysis and precise management of individual dairy cows. For example, it is impossible to effectively combine multi-source data such as rumination behavior, milk production performance, and environmental parameters for early disease warning, nor can it dynamically adjust nutritional strategies based on real-time physiological states.

[0003] Therefore, there is an urgent need in this field for a comprehensive dairy cow information management solution that can integrate multi-source data from the entire breeding process and has intelligent analysis, decision-making and automatic execution capabilities, so as to achieve the leap from group management to individual precision management. Summary of the Invention

[0004] This invention aims to provide an information-based intelligent management method and system for dairy cows, in order to solve the problems of data silos, delayed analysis, reliance on manual decision-making, and non-closed-loop execution in the existing technology, and to achieve refined and intelligent management of individual dairy cows throughout their entire life cycle.

[0005] To solve the above-mentioned technical problems, the present invention provides the following technical solution:

[0006] This solution proposes an information-based intelligent management method for dairy cows, characterized by the following steps:

[0007] Step 1, Multi-source data sensing step: Through IoT sensing terminals deployed on individual dairy cows, the breeding environment and production equipment, real-time data such as the identity data, physiological behavior data, milk production performance data, individual feed intake data and environmental data of dairy cows are collected.

[0008] Step 2, Data Transmission and Aggregation: The multi-source data is transmitted in real time to the data platform via a wireless communication network for standardized processing and storage, creating a dynamically updated full lifecycle digital profile for each dairy cow;

[0009] Step 3: Collaborative Analysis and Intelligent Diagnosis: Based on the digital archives, multiple pre-set artificial intelligence analysis models are used to perform fusion analysis on multi-dimensional data, including:

[0010] Health status analysis: By integrating physiological behavior data and milk production performance data through the first analysis model, health assessment and early disease warning can be achieved;

[0011] Reproductive status analysis: By integrating physiological and behavioral data with historical reproductive data through a second analysis model, automatic estrus detection and mating timing determination can be achieved.

[0012] Nutritional status analysis: By integrating milk production performance data, individual feed intake data and dairy cow physiological stage information through a third analysis model, nutritional requirements analysis and feeding program optimization can be achieved.

[0013] Step 4: Task Generation and Precise Execution: Based on the analysis results output by the intelligent diagnostic step, automatically generate executable management task instructions and send them to the corresponding execution devices or management personnel terminals.

[0014] Step 5: Closed-loop feedback and model optimization: Collect the execution process and result data of the management task instructions, and feed them back to the data platform to evaluate the execution effect and continuously iterate and optimize the artificial intelligence analysis model.

[0015] This invention provides a dairy cow information intelligent management system for implementing the above method, characterized in that it includes a perception and execution layer, a platform layer, and an application layer, wherein the perception and execution layer includes:

[0016] Smart wearable devices are installed on individual dairy cows to collect data on their identity, activity level, rumination, and body temperature.

[0017] Environmental monitoring sensors installed inside the breeding sheds are used to collect data on temperature, humidity, ammonia concentration, and wind speed.

[0018] Automated production equipment installed in the feeding and milking processes is used to collect milk production data and perform precise feeding and milking operations;

[0019] The network transport layer, including wireless communication gateways and network devices deployed in the farm, is used to achieve stable data transmission between the perception and execution layer and the platform layer.

[0020] The platform layer includes:

[0021] The data platform is used to access, clean, standardize, and associate multi-source heterogeneous data, and to build and maintain digital archives of dairy cows throughout their entire life cycle.

[0022] The intelligent analysis engine integrates a first analysis model, a second analysis model, and a third analysis model to perform collaborative analysis and intelligent diagnosis.

[0023] The task scheduling and early warning center is used to generate, schedule, and push task instructions to relevant equipment or personnel based on the analysis results.

[0024] The application layer provides ranch managers with visual data dashboards, mobile management applications, and management interfaces, supporting functions such as early warning processing, task execution, and file query.

[0025] Furthermore, the smart wearable device is a smart collar or anklet that integrates a radio frequency identification module, an accelerometer, and a temperature sensor.

[0026] Furthermore, the automated production equipment includes intelligent milking equipment with individual identification and online milk composition analysis functions, as well as a precision feeding station that can be linked with individual identification.

[0027] Furthermore, the system also includes an environmental controller. The task scheduling and early warning center can generate environmental control instructions based on the environmental data analysis results and send them to the environmental controller to automatically control the operation of fans and sprinkler equipment.

[0028] Furthermore, the first analysis model is an anomaly detection model built based on machine learning algorithms, used to identify at least two combinations of features among abnormal rumination, decreased activity, increased body temperature, and changes in milk conductivity, and output early warning information for metabolic diseases, hoof diseases, or mastitis.

[0029] Furthermore, the second analytical model analyzes the periodic surges in activity levels and combines this with the dairy cow's lactation stage and reproductive history to output estrus status judgment and mating recommendations.

[0030] The beneficial effects of the dairy cow information-based intelligent management method and system proposed in this invention, which adopts the above-mentioned structure, are as follows:

[0031] 1. By integrating multi-source data such as individual physiology, behavior, production, and environment, a unified digital profile of dairy cows is constructed, breaking down information silos and providing a complete data foundation for precision management.

[0032] 2. By using artificial intelligence models to conduct collaborative analysis of multi-dimensional data, abnormal trends can be identified before clinical symptoms appear, significantly improving the early detection rate of diseases and reducing treatment costs and production losses.

[0033] 3. The system can automatically transform the analysis results into specific executable tasks (such as grouping, pen adjustment, precision feeding, and environmental control), and track execution feedback to form a management closed loop of "perception-analysis-decision-execution-optimization", which greatly improves management efficiency and the scientific nature of decision-making.

[0034] 4. By improving reproductive efficiency, reducing disease incidence, optimizing feed utilization, and saving labor costs, the goal is to effectively improve the milk yield per cow and the overall profitability of the farm. Attached Figure Description

[0035] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0036] Figure 1 This is a schematic diagram of the architecture of the dairy cow information-based intelligent management method and system proposed in this invention;

[0037] Figure 2 This is a schematic diagram of the process flow of the dairy cow information-based intelligent management method and system proposed in this invention;

[0038] Figure 3 This is a detailed flowchart illustrating the collaborative analysis and intelligent diagnosis steps of the dairy cow information-based intelligent management method and system proposed in this invention. Detailed Implementation

[0039] The technical inventions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0040] It should be noted that the terms “front,” “back,” “left,” “right,” “up,” and “down” used in the following description refer to the directions shown in the attached diagram, while the terms “inside” and “outside” refer to the directions toward or away from the geometric center of a specific component, respectively.

[0041] like Figures 1-3 As shown, the technical invention adopted in this invention is as follows:

[0042] The dairy cow information intelligent management system in this embodiment includes a perception and execution layer, a network transmission layer, a platform layer, and an application layer.

[0043] The perception execution layer specifically includes:

[0044] Each cow wears a smart collar with a built-in RFID chip, a three-axis accelerometer, and a temperature sensor to collect data on the cow's identity, activity level, rumination behavior, and body temperature.

[0045] Temperature and humidity sensors, ammonia sensors, and wind speed sensors are distributed in the cattle shed;

[0046] The milking robot installed in the milking parlor can automatically identify dairy cows and record their milk yield, milking flow rate, electrical conductivity and somatic cell count.

[0047] A precision feeding station linked to an individual identification device is used to perform personalized concentrate feeding;

[0048] The network transmission layer adopts a hybrid networking method of LoRa and Wi-Fi, and the sensed data is reliably uploaded to the platform layer through the gateway devices deployed in the field.

[0049] The platform layer, as the core of the system, includes:

[0050] Data platform: responsible for receiving, cleaning, and standardizing the storage of all access data, and integrating it into dynamically updated digital archives based on the unique identifier of each dairy cow;

[0051] Intelligent analysis engine: Built-in trained AI models, such as the health warning model (i.e., the first analysis model), can output early warning of suspected mastitis based on multiple feature combinations such as decreased rumination time and increased conductivity in specific mammary areas; the estrus detection model (i.e., the second analysis model) can output estrus peak judgment and mating suggestions based on the surge pattern of activity and the number of days postpartum.

[0052] Task scheduling and early warning center: Converts the structured information output by the engine into task instructions and pushes them to the mobile terminals of relevant personnel (such as veterinarians and breeders) according to priority, or distributes them to execution equipment such as automatic grouping gates and precision feeding stations;

[0053] The application layer provides farm managers with PC-based visual dashboards and mobile apps. The dashboards centrally display key farm production indicators, real-time early warning lists, environmental heat maps, etc.; the app is used to receive and process task notifications, supports on-site operation and result feedback, and all execution records are synchronously written back to the corresponding dairy cow's digital file in the data platform.

[0054] The management method flow in this embodiment is as follows:

[0055] S1: Various sensing terminals continuously collect data;

[0056] S2: Data is transmitted wirelessly to the data platform for processing and storage;

[0057] S3: The intelligent analysis engine calls the corresponding model to perform multi-dimensional collaborative analysis;

[0058] S4: Generate task instructions based on the analysis results and issue them to designated equipment or personnel for execution;

[0059] S5: The execution results are fed back to the system for model optimization and effect evaluation.

[0060] like Figure 3As shown, the collaborative analysis in step S3 can specifically execute three analysis streams in parallel: health analysis, reproductive analysis, and nutritional analysis. These three analysis streams share the data resources of the data platform and can generate related conclusions. For example, a decline in physical condition caused by nutritional imbalance may simultaneously trigger health warnings and reproductive performance prompts.

[0061] 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, material, 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, material, or apparatus.

[0062] 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 information management of dairy cows, characterized in that, Includes the following steps: Multi-source data sensing steps: Real-time collection of dairy cow identity data, physiological behavior data, milk production performance data, individual feed intake data, and environmental data through IoT sensing terminals deployed on individual dairy cows, the breeding environment, and production equipment; Data transmission and aggregation steps: The multi-source data is transmitted in real time to the data platform via a wireless communication network for standardized processing and storage, creating a dynamically updated full life cycle digital profile for each dairy cow; Collaborative analysis and intelligent diagnosis steps: Based on the digital archive, multiple pre-set analysis models are used to perform fusion analysis on multi-dimensional data, including health status analysis, reproductive status analysis and nutritional status analysis; Task generation and precise execution steps: Based on the analysis results output by the intelligent diagnostic steps, management task instructions are automatically generated and sent to the corresponding execution devices or management personnel terminals; Closed-loop feedback and model optimization steps: Collect the execution process and result data of the management task instructions, feed them back to the data platform, and use them to evaluate the execution effect and continuously iterate and optimize the analysis model.

2. The method for intelligent information management of dairy cows according to claim 1, characterized in that, The health status analysis integrates physiological behavior data and milk production performance data through a first analysis model to achieve health assessment and early disease warning. The reproductive status analysis integrates physiological behavior data and historical reproductive data through a second analysis model to achieve automatic estrus identification and mating timing judgment. The nutritional status analysis integrates milk production performance data, individual feed intake data, and dairy cow physiological stage information through a third analysis model to achieve nutritional requirement analysis and feeding program optimization.

3. The method for intelligent information management of dairy cows according to claim 2, characterized in that, The first analysis model is an anomaly detection model built based on machine learning algorithms. It is used to identify at least two combinations of features among abnormal rumination, decreased activity, increased body temperature, and changes in milk conductivity, and outputs early warning information for metabolic diseases, hoof diseases, or mastitis.

4. The method for intelligent information management of dairy cows according to claim 2, characterized in that, The second analytical model analyzes the periodic surges in activity levels and combines them with the dairy cow's lactation stage and reproductive history to output estrus status judgment and mating suggestions.

5. A dairy cow information intelligent management system implementing the method as described in any one of claims 1-4, characterized in that, It includes the perception and execution layer, the platform layer, and the application layer. The perception and execution layer includes: Smart wearable devices are installed on individual dairy cows to collect data on their identity, activity level, rumination, and body temperature. Environmental monitoring sensors installed inside the breeding sheds are used to collect data on temperature, humidity, ammonia concentration, and wind speed. Automated production equipment installed in the feeding and milking processes is used to collect milk production data and perform precise feeding and milking operations; The network transport layer is used to achieve stable data transmission between the perception and execution layer and the platform layer; The platform layer includes: The data platform is used to access, clean, standardize, and associate multi-source heterogeneous data, and to build and maintain digital archives of dairy cows throughout their entire life cycle. The intelligent analysis engine integrates multiple analysis models for performing collaborative analysis and intelligent diagnosis. The task scheduling and early warning center is used to generate, schedule, and push task instructions to relevant equipment or personnel based on the analysis results. The application layer provides ranch managers with visual data dashboards, mobile management applications, and management interfaces, supporting functions such as early warning processing, task execution, and file query.

6. The method for intelligent information management of dairy cows according to claim 5, characterized in that, The smart wearable device is a smart collar or anklet that integrates a radio frequency identification module, an accelerometer, and a temperature sensor.

7. The method for intelligent information management of dairy cows according to claim 5, characterized in that, The automated production equipment includes intelligent milking equipment with individual identification and online milk composition analysis functions, as well as a precision feeding station that can be linked with individual identification.

8. The method for intelligent information management of dairy cows according to claim 5, characterized in that, The system also includes an environmental controller. The task scheduling and early warning center can generate environmental control instructions based on the environmental data analysis results and send them to the environmental controller to automatically control the operation of fans and sprinkler equipment.

9. The method for intelligent information management of dairy cows according to claim 5, characterized in that, The network transmission layer adopts a hybrid LoRa and Wi-Fi networking approach, and achieves reliable data transmission through gateway devices deployed in the site.

10. The method for intelligent information management of dairy cows according to claim 5, characterized in that, The mobile management application provided by the application layer supports task reception, on-site operation and result feedback. All execution records are synchronously written back to the digital file of the corresponding cow in the data platform.

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