Diseased animal treatment and recovery system

Abstract

The invention relates to the technical field of animal husbandry medical management, and discloses a diseased animal treatment and recovery system, which comprises a data acquisition and processing module used for acquiring various data of diseased animals in real time, a data transmission and storage module used for transmitting the acquired data to a database for storage and management, and a data processing module used for processing the acquired data. The disease diagnosis and prediction module is used for carrying out diagnosis and disease prediction on the health state of the sick livestock according to stored historical data and real-time data, and the treatment scheme generation and individuation module is used for automatically generating an individualized treatment scheme according to the health state of the sick livestock. And the system management and security module is used for security of encrypted data and normal operation of the system. Through cooperative work of the data acquisition and processing module, the disease diagnosis and prediction module and the treatment scheme generation and personalization module, the system can collect health data of sick livestock in real time, the sick livestock treatment efficiency is improved, human judgment errors are reduced, and the accuracy of a treatment scheme is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of livestock medical management, and particularly to a treatment and recovery system for diseased livestock. Background Art

[0002] With the rapid development of modern agriculture and animal husbandry, especially in large-scale breeding environments, the treatment and recovery of diseased livestock have increasingly become an important challenge. Traditional methods for treating and managing diseased livestock usually rely on manual diagnosis, manual records, and manual adjustment of treatment plans. This method is not only inefficient but also easily affected by human factors, resulting in untimely treatment of diseased livestock, poor treatment effects, and even possible treatment errors or side effects, causing huge economic losses to the breeding industry.

[0003] Against this background, how to improve the accuracy, timeliness, and personalization of treating diseased livestock through scientific and intelligent means has become an urgent problem in the industry. In recent years, with the continuous development of information technology, the Internet of Things, big data analysis, and artificial intelligence, the research and application of intelligent diseased livestock treatment systems have gradually become the key direction to solve this problem. Especially intelligent systems based on real-time monitoring and data analysis can accurately diagnose the health status of diseased livestock, formulate personalized treatment plans, and dynamically adjust according to the health data of diseased livestock, significantly improving treatment efficiency and accuracy.

[0004] In the prior art, diagnosing and treating diseased livestock usually relies on the actual diagnostic experience of veterinarians. However, there are significant individual differences among diseased livestock, and there are no actual physiological data and parameters for reference. Some treatment plans may not be applicable to individual diseased livestock, which may lead to misjudgment by veterinarians during diagnosis and missed treatment opportunities. Summary of the Invention

[0005] Aiming at the deficiencies of the prior art, the present invention provides a treatment and recovery system for diseased livestock, which solves the problem that in the diagnostic step, relying on the actual experience of veterinarians may result in the inability to accurately diagnose complex or rare diseases in the absence of sufficient case data, and some treatment plans may not be applicable to individual diseased livestock, leading to misjudgment by veterinarians during diagnosis and missed treatment opportunities.

[0006] To achieve the above objectives, the present invention is realized through the following technical solutions: A treatment and recovery system for diseased livestock, comprising: A data collection and processing module, a data transmission and storage module, a disease diagnosis and prediction module, a treatment plan generation and personalization module, a remote medical treatment and control module, an intelligent drug delivery and management module, a treatment effect feedback and optimization module, an information notification and warning module, and a system management and security module; The data collection and processing module is used to collect various data of diseased livestock in real time and perform data preprocessing; The data transmission and storage module is used to transmit the collected data to the database for storage and management; The disease diagnosis and prediction module is used to diagnose the health status of diseased livestock and predict diseases based on the stored historical data and real-time data; The treatment plan generation and personalization module is used to automatically generate a personalized treatment plan according to the health status of the diseased livestock; The telemedicine and control module is used for veterinarians to remotely monitor the health status of diseased livestock and remotely adjust the treatment plan; The intelligent drug delivery and management module is used to automatically deliver drugs according to the treatment plan and adjust the dose and administration method of drugs in real time; The treatment effect feedback and optimization module is used to monitor the treatment effect in real time and automatically optimize the treatment plan; The information notification and warning module is used to detect whether abnormalities occur during the treatment of diseased livestock, and issue a warning through the warning system to notify relevant personnel for handling; The system management and security module is used to ensure the security of encrypted data and the normal operation of the system, and perform system updates and optimizations.

[0007] Preferably, the data collection and processing module includes a physiological data collection unit, a behavioral data collection unit, and a biological sample collection unit. The physiological data collection unit is used to monitor the physiological data of diseased livestock, and the physiological data includes body temperature, heart rate, and respiratory rate. The behavioral data collection unit is used to monitor the activity level, diet, and abnormal behavior of diseased livestock. The biological sample collection unit is used to collect blood, urine, and fecal samples of diseased livestock for chemical analysis to obtain health-related biological indicators. The various data include physiological data, behavioral data, and biological sample data.

[0008] Preferably, the data transmission and storage module includes a data transmission unit, a cloud storage unit, and a data management unit. The data transmission unit is used to transmit the collected data to the database in real time through a wireless network, and the wireless network includes at least one of Wi-Fi, 4G, or 5G. The cloud storage unit is used to store the collected data in the cloud database for big data analysis and query. The data management unit is used to effectively manage, query, and back up the data stored in the cloud.

[0009] Preferably, the disease diagnosis and prediction module includes a diagnosis unit, a disease identification unit, and a prediction unit. The diagnosis unit is used to perform a health diagnosis of diseased livestock based on real-time and historical data. The disease identification unit is used to identify potential diseases through machine learning algorithms and classify their types. The prediction unit is used to predict the health change trend of diseased livestock and identify possible health problems based on data analysis.

[0010] Preferably, the treatment plan generation and personalization module includes a treatment plan library unit, a personalization adjustment unit, and a treatment plan generation unit. The treatment plan library unit is used to store standard treatment plans for different diseases. The personalization adjustment unit is used to automatically adjust the treatment plan according to the breed, age, and health status personal information of the diseased livestock. The treatment plan generation unit is used to automatically generate and optimize the treatment plan to meet the individualized treatment needs of the diseased livestock.

[0011] Preferably, the telemedicine and control module includes a remote monitoring unit, a remote control unit, and a remote video monitoring unit. The remote monitoring unit is used for veterinarians to view the health data of the diseased livestock in real time through a remote platform and make a diagnosis. The remote control unit is used to remotely control drug delivery, adjust the treatment plan, and perform treatment operations. The remote video monitoring unit is used to monitor the behavior and physiological conditions of the diseased livestock through video to assist veterinarians in making decisions.

[0012] Preferably, the intelligent drug delivery and management module includes a drug distribution unit, a dose adjustment unit, and a drug delivery control unit. The drug distribution unit is used to automatically distribute drugs according to the treatment plan and control the drug dose. The dose adjustment unit is used to adjust the drug dose according to real-time monitoring data. The drug delivery control unit is used to accurately deliver drugs through automated equipment.

[0013] Preferably, the treatment effect feedback and optimization module includes a health monitoring unit, an optimization algorithm unit, and an effect analysis unit. The health monitoring unit is used to collect the health data of the diseased livestock in real time and evaluate the treatment effect. The optimization algorithm unit is used to automatically adjust the treatment plan based on the treatment effect feedback. The effect analysis unit is used to analyze the health problems that occur during the treatment process and propose adjustment suggestions.

[0014] Preferably, the information notification and warning module includes a data analysis unit, a visualization display unit, and a report generation unit. The data analysis unit is used to analyze the real-time health data and provide an accurate health status assessment. The visualization display unit is used to display the analysis results in the form of charts or images to help users quickly understand the health status. The report generation unit is used to automatically generate a treatment report based on the analysis results for reference by veterinarians and farmers.

[0015] Preferably, the system management and security module includes a data security unit, a system monitoring unit, and a system update unit. The data security unit is used to encrypt all transmitted and stored data. The system monitoring unit is used to monitor the running status of the system. The system update unit is used to automatically or manually update the system functions and database according to the system running status and technological progress.

[0016] The present invention provides a treatment and recovery system for diseased livestock. It has the following beneficial effects: 1. Through the collaborative work of the data collection and processing module, disease diagnosis and prediction module, and treatment plan generation and personalization module, the system can collect the health data of diseased livestock in real time, accurately diagnose the disease condition, and automatically generate a personalized treatment plan according to the diagnosis result. The improvement of intelligent and automated processing greatly improves the treatment efficiency of diseased livestock, reduces human judgment errors, and improves the accuracy of the treatment plan.

[0017] 2. Through the integration of the health monitoring unit, optimization algorithm unit, and effect analysis unit, the system can monitor the health status of diseased livestock in real time and automatically optimize the treatment plan according to the feedback data. The optimization algorithm can automatically adjust the drug dosage, treatment method, and treatment cycle according to the real-time feedback of the treatment effect to ensure that the diseased livestock receives the most suitable treatment during the treatment process.

[0018] 3. Through the integration of the remote medical treatment and control module with the remote monitoring, remote control, and remote video monitoring units, real-time remote intervention during the treatment process of diseased livestock is achieved. Veterinarians can monitor the health status of diseased livestock in real time at different locations, adjust the treatment plan, and administer drugs. Remote medical support enables farms to obtain efficient and accurate medical services without the presence of professional veterinarians on a permanent basis. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a system architecture diagram of a treatment and recovery system for diseased livestock according to the present invention; Figure 2 It is an architecture diagram of the data collection and processing module of a treatment and recovery system for diseased livestock according to the present invention; Figure 3 It is a relationship architecture diagram of the data collection and processing module of a treatment and recovery system for diseased livestock according to the present invention; Figure 4 It is an architecture diagram of the data transmission and storage module of a treatment and recovery system for diseased livestock according to the present invention; Figure 5 It is a relationship architecture diagram of the data transmission and storage module of a treatment and recovery system for diseased livestock according to the present invention; Figure 6 It is an architecture diagram of the disease diagnosis and prediction module of a treatment and recovery system for diseased livestock according to the present invention; Figure 7 It is a relationship architecture diagram of the disease diagnosis and prediction module of a treatment and recovery system for diseased livestock according to the present invention; Figure 8 It is an architecture diagram of the treatment plan generation and personalization module of a treatment and recovery system for diseased livestock according to the present invention; Figure 9 It is a relationship architecture diagram of the treatment plan generation and personalization module of a treatment and recovery system for diseased livestock according to the present invention; Figure 10 This is the architecture diagram of the remote medical and control module of a livestock treatment and recovery system according to the present invention; Figure 11 This is the architecture diagram of the intelligent drug delivery and management module of a livestock treatment and recovery system according to the present invention; Figure 12 This is the architecture diagram of the treatment effect feedback and optimization module of a livestock treatment and recovery system according to the present invention; Figure 13 This is the architecture diagram of the information notification and warning module of a livestock treatment and recovery system according to the present invention; Figure 14 This is the architecture diagram of the relationship of the remote medical and control module of a livestock treatment and recovery system according to the present invention; Figure 15 This is the architecture diagram of the system management and security module of a livestock treatment and recovery system according to the present invention; Figure 16 This is the architecture diagram of the relationship of the system management and security module of a livestock treatment and recovery system according to the present invention. Detailed implementation manners

[0020] Next, in combination with the accompanying drawings of the present invention, the technical solutions of the present invention will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0021] Please refer to the attached Figure 1 - attached Figure 16 , an embodiment of the present invention provides a livestock treatment and recovery system, including: A data acquisition and processing module, a data transmission and storage module, a disease diagnosis and prediction module, a treatment plan generation and personalization module, a remote medical and control module, an intelligent drug delivery and management module, a treatment effect feedback and optimization module, an information notification and warning module, and a system management and security module; The data acquisition and processing module is used to collect various data of the diseased livestock in real time and perform data preprocessing; The data transmission and storage module is used to transmit the collected data to the database for storage and management; The disease diagnosis and prediction module is used to diagnose the health status of the diseased livestock and predict diseases based on the stored historical data and real-time data; The treatment plan generation and personalization module is used to automatically generate a personalized treatment plan according to the health status of the diseased livestock; The remote medical and control module is used for veterinarians to remotely monitor the health status of the diseased livestock and remotely adjust the treatment plan; The intelligent drug delivery and management module is used to automatically deliver drugs according to the treatment plan and adjust the drug dosage and administration method in real time; The treatment effect feedback and optimization module is used to monitor the treatment effect in real time and automatically optimize the treatment plan; The information notification and warning module is used to detect whether abnormalities occur in the treated livestock during the treatment process, issue a warning through the warning system, and notify relevant personnel for handling; The system management and security module is used to ensure the security of encrypted data and the normal operation of the system, and perform system updates and optimizations.

[0022] The data collection and processing module includes a physiological data collection unit, a behavioral data collection unit, and a biological sample collection unit. The physiological data collection unit is used to monitor the physiological data of the treated livestock. The physiological data includes body temperature, heart rate, and respiratory rate. The behavioral data collection unit is used to monitor the activity level, diet, and abnormal behaviors of the treated livestock. The biological sample collection unit is used to collect blood, urine, and fecal samples of the treated livestock for chemical analysis to obtain health-related biological indicators. All data includes physiological data, behavioral data, and biological sample data.

[0023] Specifically, the data collection and processing module includes a physiological data collection unit, a behavioral data collection unit, and a biological sample collection unit. These units work together to comprehensively collect the health data of the treated livestock. The physiological data collection unit is used to monitor key physiological parameters such as the body temperature, heart rate, and respiratory rate of the treated livestock, and uses infrared or contact-type body temperature sensors, electrocardiogram devices, and gas sensors for data collection. Through the real-time monitoring of these devices, symptoms such as abnormal body temperature, irregular heartbeat, or rapid breathing of the treated livestock can be detected in a timely manner, providing a basis for the early diagnosis of the disease; The behavioral data collection unit is responsible for monitoring the activity level, diet, and abnormal behaviors of the treated livestock, and uses devices such as acceleration sensors, intelligent collars, and food intake monitors to record indicators such as the activity range, gait changes, food intake, and frequency of the treated livestock. Through these data, it can be judged whether the treated livestock shows symptoms such as reduced activity and loss of appetite due to the disease, assisting in the diagnosis of the disease and providing a reference for treatment; The biological sample collection unit provides health-related biological indicators for the system through the collection and analysis of samples such as blood, urine, and feces. Blood samples are obtained through minimally invasive sampling or intravenous blood sampling for blood routine and biochemical analysis. Urine samples are used to detect kidney function, endocrine problems, and infections. Fecal samples are used for microbial culture and parasite detection to help judge the health of the digestive system of the treated livestock. All data is transmitted to the central database in real time via wireless communication for storage and analysis, and the system provides a sufficient basis for subsequent diagnosis and treatment based on these data; The real-time collection and processing of physiological data, behavioral data, and biological sample data not only improve the accuracy of disease identification but also provide a basis for generating personalized treatment plans, thereby effectively enhancing the treatment effect of diseased livestock. During the use process, health problems of diseased livestock can be detected in a timely manner, and the treatment plan can be adjusted according to real-time feedback, thus achieving more efficient and precise health management and treatment recovery in the livestock industry.

[0024] The data transmission and storage module includes a data transmission unit, a cloud storage unit, and a data management unit. The data transmission unit is used to transmit the collected data to the database in real time through a wireless network. The wireless network includes at least one of Wi-Fi, 4G, or 5G. The cloud storage unit is used to store the collected data in the cloud database for big data analysis and query. The data management unit is used to effectively manage, query, and back up the data stored in the cloud.

[0025] Specifically, the data transmission and storage module includes a data transmission unit, a cloud storage unit, and a data management unit. The three work together to ensure that the collected data can be transmitted, stored, and managed efficiently and securely, thereby providing basic support for subsequent analysis and processing. The data transmission unit is responsible for transmitting the health data of diseased livestock obtained through the physiological data collection unit, behavioral data collection unit, and biological sample collection unit to the database in real time. The data transmission uses wireless network technology, including at least one network type such as Wi-Fi, 4G, or 5G, to ensure that the data can be quickly and stably transmitted to the remote database or cloud platform when collected; The cloud storage unit is responsible for storing the collected data in the cloud database for subsequent big data analysis and query. The cloud database has efficient storage and processing capabilities, supports the storage and rapid query of large-scale data, and provides a solid foundation for the long-term accumulation and historical analysis of the health data of diseased livestock; The role of the data management unit is to effectively manage the data stored in the cloud database to ensure the security, integrity, and traceability of the data. It is responsible for classifying, marking, retrieving, and backing up the data to ensure that the data can be quickly queried and recovered at any time. Through the backup function, even in the event of a system failure or data loss, the data can be restored in a timely manner to ensure the stable operation of the system. The data management unit can also encrypt and control permissions for the data as needed to ensure the privacy and security of the health data of diseased livestock, achieving efficient and secure real-time data transmission and cloud storage management during the use process, and providing strong data support for subsequent data analysis, disease diagnosis, and treatment plan optimization.

[0026] The disease diagnosis and prediction module includes a diagnosis unit, a disease identification unit, and a prediction unit. The diagnosis unit is used to conduct a health diagnosis of diseased livestock based on real-time and historical data. The disease identification unit is used to identify potential diseases through machine learning algorithms and classify their types. The prediction unit is used to predict the trend of the health changes of diseased livestock and identify possible health problems based on data analysis.

[0027] Specifically, the diagnosis unit, the disease identification unit, and the prediction unit, through the collaborative action of these units, achieve a comprehensive diagnosis of the health status of diseased livestock, disease identification, and prediction of future health trends, providing a scientific basis for formulating personalized treatment plans. The function of the diagnosis unit is to conduct a comprehensive diagnostic analysis of the current health status of diseased livestock based on the health data collected in real time and the data stored historically. The diagnosis unit receives inputs from physiological data, behavioral data, and biological sample data, analyzes the key indicators of diseased livestock in combination with the standard diagnostic model, and identifies whether there are health abnormalities, such as problems like elevated body temperature, arrhythmia, or abnormal blood indicators, thus laying a foundation for the preliminary diagnosis of diseases; The disease identification unit further conducts in-depth analysis of the abnormal data found in the diagnosis unit through the integrated machine learning algorithms, identifies potential diseases, and classifies their types. This unit constructs a disease classification model based on supervised learning or deep learning by training a large amount of historical health data of diseased livestock and disease cases, and can accurately distinguish common diseases such as infectious diseases, parasitic diseases, digestive system diseases, or respiratory system diseases, etc. This unit can also be dynamically updated. By continuously adding new data, it improves the accuracy and generalization ability of the model, ensuring the reliability of the disease classification results; The function of the prediction unit is to analyze the trend of the health changes of diseased livestock based on the data provided by the diagnosis unit and the disease identification unit, in combination with real-time and historical data. The prediction unit uses time series analysis and deep learning models, such as LSTM (Long Short-Term Memory Network) or algorithms based on regression analysis, to predict the possible future changes in the health status of diseased livestock. For example, this unit can identify the potential development trend of diseases, such as whether the disease will deteriorate, whether the recovery meets expectations, whether there is a risk of recurrence, etc. The prediction unit can discover potential health problems through data analysis, and through trend judgment, identify the hidden symptoms that may be ignored in the early stage of certain diseases, thus sending out warning signals; Through the disease diagnosis and prediction module, the system can effectively integrate real-time data and historical data, accurately diagnose the health problems of diseased livestock, identify the types of diseases, and predict future health trends. It not only improves the accuracy and intelligence of disease diagnosis, but also helps veterinarians and breeding personnel to respond to potential health risks in advance, optimize the treatment plan for diseased livestock, improve the recovery efficiency, and significantly reduce breeding losses.

[0028] The treatment plan generation and personalization module includes a treatment plan library unit, a personalization adjustment unit, and a treatment plan generation unit. The treatment plan library unit is used to store the standard treatment plans for different diseases. The personalization adjustment unit is used to automatically adjust the treatment plan according to the personalized information of the diseased livestock, such as breed, age, and health status. The treatment plan generation unit is used to automatically generate and optimize the treatment plan to meet the individualized treatment needs of the diseased livestock.

[0029] Specifically, the treatment plan library unit is used to store the standard treatment plans for different diseases. This library contains treatment plans for various disease types (such as infectious diseases, digestive system diseases, respiratory system diseases, etc.), and includes detailed information such as drug types, dosages, administration frequencies, and treatment cycles. Through continuous updating and maintenance, the treatment plan library has accumulated extensive treatment experience and relies on clinical data, medical research, and the latest treatment guidelines to ensure the provision of the latest and most effective treatment plans. The personalization adjustment unit automatically adjusts the relevant parameters of the treatment plan according to the personalized health information of the diseased livestock, such as breed, age, weight, and immune status. Based on the specific characteristics and diagnosis results of the diseased livestock, algorithms are used to customize the treatment plan. For diseased livestock of different weights, the dosage of the drug is automatically adjusted. According to the immune status and age differences of the diseased livestock, the most suitable drug type and treatment method are selected. The personalization adjustment unit also considers the past health history of the diseased livestock, including information such as previous disease types and drug allergy history, to ensure the safety and effectiveness of the treatment plan and reduce the occurrence of side effects and adverse reactions. It achieves the transformation of the standard treatment plan into the best treatment plan that conforms to the individual characteristics of the diseased livestock. The treatment plan generation unit automatically generates a specific treatment plan by integrating the real-time health data of the diseased livestock and the treatment plan after personalization adjustment. The treatment plan not only includes drug treatment but also auxiliary treatment measures, nursing requirements, and follow-up plans, etc. The treatment plan generation unit optimizes the implementation steps of the treatment plan through intelligent algorithms and data analysis according to the treatment goals, the current health status of the diseased livestock, and the expected treatment effects. The treatment plan generation unit can dynamically adjust the treatment plan and perform real-time optimization according to the health changes of the diseased livestock, improving the efficiency and pertinence of the treatment process. During the treatment process, if the health status of the diseased livestock changes, the system will automatically adjust the treatment plan according to the real-time monitoring data, and the treatment process continuously adapts to the recovery process of the diseased livestock.

[0030] The telemedicine and control module includes a remote monitoring unit, a remote control unit, and a remote video monitoring unit. The remote monitoring unit is used for veterinarians to view the health data of the diseased livestock in real time through a remote platform and make diagnoses. The remote control unit is used to remotely regulate drug delivery, adjust the treatment plan, and perform treatment operations. The remote video monitoring unit is used to monitor the behavior and physiological status of the diseased livestock through video to assist veterinarians in making decisions.

[0031] Specifically, the real-time monitoring of the health status of diseased livestock and the remote control of treatment operations are realized through a remote platform, thereby improving the efficiency, accuracy, and timeliness of treatment. The main function is to enable veterinarians to view the health data of diseased livestock in real time through the remote platform, conduct diagnostic analysis, receive various types of health data from the data collection and processing module, including physiological data, behavioral data, and biological sample data, and transmit this data to the cloud platform. Veterinarians can view this data through the remote platform, combine historical cases and real-time health status for diagnosis, so as to timely identify whether there are potential health problems in the diseased livestock. The remote monitoring unit uses data analysis tools to evaluate the health changes of diseased livestock, helps veterinarians make diagnostic decisions, and then puts forward corresponding treatment suggestions; Through intelligent system control, the remote control unit can remotely regulate drug delivery devices, adjust treatment plans, and perform treatment operations. After diagnosis, veterinarians can conduct real-time intervention through the remote control unit. Veterinarians can adjust the drug dosage, administration frequency, and delivery time of the drug delivery device through the remote platform to ensure that the drug is accurately delivered into the body of the diseased livestock according to the best treatment plan. The adjustment of the treatment plan can also be achieved through this unit. According to the real-time health data and treatment feedback of the diseased livestock, the remote control unit can help veterinarians modify the treatment plan and perform treatment operations by controlling relevant devices, ensuring the timely update and implementation of the treatment plan, and avoiding the deterioration of the condition caused by treatment delays or inappropriate treatment plans; The remote video monitoring unit provides veterinarians with a real-time visual monitoring means, and can monitor the behavior and physiological conditions of diseased livestock through video. Through cameras installed in the area of diseased livestock or wearable video devices, the movement, diet, and other behavioral manifestations of diseased livestock, as well as the external physiological conditions of diseased livestock, are captured in real time. Through video monitoring, veterinarians can not only intuitively see the activities of diseased livestock, but also observe symptoms such as abnormal behavior, loss of appetite, and being bedridden, which are often warning signs of health problems. Combining video monitoring data, veterinarians can more comprehensively understand the actual situation of diseased livestock and assist in making more accurate diagnostic and treatment decisions.

[0032] Through the cooperation of the remote monitoring unit, the remote control unit, and the remote video monitoring unit, the remote medical and control module can achieve all-round monitoring and treatment intervention for diseased livestock at different levels. Without having to be present in person, veterinarians can view health data, adjust treatment plans, and control drug delivery at any time and place for diseased livestock, thereby improving the flexibility, real-time nature, and accuracy of the treatment process, greatly enhancing the efficiency of treating diseased livestock in the livestock industry. Especially for remote areas and large-scale farms, it can reduce the number of on-site diagnoses by veterinarians, reduce labor costs, and at the same time ensure that diseased livestock can receive scientific and timely intervention during the treatment process, improve the recovery rate of diseased livestock, and reduce the spread of diseases.

[0033] The intelligent drug delivery and management module includes a drug dispensing unit, a dosage adjustment unit, and a drug delivery control unit. The drug dispensing unit is used to automatically dispense drugs according to the treatment plan and control the drug dosage. The dosage adjustment unit is used to adjust the drug dosage according to real-time monitoring data. The drug delivery control unit is used to accurately deliver drugs through automated equipment.

[0034] Specifically, the main function of the drug dispensing unit is to automatically dispense drugs according to the treatment plan set by the veterinarian and control the drug dosage. The treatment plan is usually provided by the treatment plan generation and personalization module and includes information such as drug type, dosage, and medication frequency. The drug dispensing unit can automatically select the corresponding drugs from the drug storage device according to these treatment plans and dispense them according to the specified dosage. The drug dispensing unit is embedded with intelligent algorithms that can be automatically adjusted according to the specific conditions of the diseased animal, such as weight, age, immune status, etc., to ensure that each drug dispensing meets the individual needs of the diseased animal and avoid drug overdose or insufficiency. The dosage adjustment unit dynamically adjusts the drug dosage according to the real-time health data of the diseased animal. By connecting with the data acquisition module and the disease diagnosis and prediction module, it can obtain the physiological data (such as body temperature, heart rate, blood glucose level, etc.) and health status data of the diseased animal in real time, and automatically adjust the drug dosage according to these data. If the body temperature of the diseased animal is relatively high, the dosage or type of the drug may need to be adjusted. The dosage adjustment unit will automatically calculate the optimal drug dosage according to the algorithms and rules set by the system and instruct the drug dispensing unit to make corresponding adjustments. The dosage adjustment unit can also adjust the treatment plan according to the effect evaluation data during the treatment process to ensure the efficiency and safety of the drug use process. The drug delivery control unit is responsible for accurately delivering drugs into the body of the diseased animal through automated equipment according to the requirements of the treatment plan. It is connected to the intelligent drug delivery device and automatically controls the start, operation, and stop of the drug delivery device. Through the automated delivery equipment, the system can ensure that the drugs are accurately delivered according to the specified time, frequency, dosage, and method (such as oral administration, injection, infusion, etc.), reduce human operation errors, and ensure the effect of drug treatment. The drug delivery control unit can also adjust the delivery method and frequency in real time according to the reaction of the diseased animal and the treatment progress to cope with the health changes of the diseased animal. Through the integrated feedback mechanism, the drug delivery control unit can monitor the effect of drug delivery in real time during the treatment process and adjust the drug use strategy according to the treatment feedback.

[0035] During the use process, it can enable sick livestock to receive precise drug distribution, real-time dose adjustment, and accurate drug delivery during the treatment process, maximizing the accuracy and effectiveness of drug treatment, avoiding treatment failures or side effects caused by improper drug doses. The automated drug delivery system greatly reduces the workload of veterinarians and breeding personnel, improves treatment efficiency, reduces human operation errors, and ensures the safety and effectiveness of the treatment process.

[0036] The treatment effect feedback and optimization module includes a health monitoring unit, an optimization algorithm unit, and an effect analysis unit. The health monitoring unit is used to collect the health data of sick livestock in real time and evaluate the treatment effect. The optimization algorithm unit is used to automatically adjust the treatment plan based on the treatment effect feedback. The effect analysis unit is used to analyze the health problems that occur during the treatment process and propose adjustment suggestions.

[0037] Specifically, the main role of the health monitoring unit is to collect the health data of sick livestock in real time and evaluate the treatment effect in real time. By continuously monitoring the physiological indicators, behavior patterns, and biological indicators of sick livestock, the health monitoring unit can promptly detect changes in the health status of sick livestock, evaluate the progress of treatment, and provide feedback to veterinarians. Real-time health data can help veterinarians determine whether the treatment plan is effective and whether adjustments are needed, ensuring the timeliness and effectiveness of treatment. It can help promptly detect possible health problems of sick livestock during the treatment process, such as abnormal conditions like body temperature changes, heart rate fluctuations, and loss of appetite, thus providing data support for adjusting the treatment plan. Through the real-time monitoring of the health monitoring unit, the deterioration of the condition of sick livestock can be effectively reduced, the risk of treatment delays can be lowered, and the accuracy and safety of treatment can be enhanced; The role of the optimization algorithm unit is to automatically adjust the treatment plan according to the treatment effect feedback provided by the health monitoring unit. This unit can analyze the real-time health data of sick livestock, combine with preset treatment rules, and dynamically adjust the treatment plan to ensure that the treatment plan always adapts to the individual needs and health changes of sick livestock. The optimization algorithm unit can automatically recommend solutions such as drug adjustment, dose adjustment, and treatment method change according to the changes in the health status of sick livestock, ensuring the best treatment effect, significantly improving the flexibility and adaptability of the treatment plan, and making the treatment process more personalized and precise. Through intelligent adjustment based on data, problems such as inadaptability and over-treatment in treatment are avoided, and the risks of drug side effects and treatment failures are reduced. In addition, the optimization algorithm unit can respond in real time to changes in the health status of sick livestock and achieve immediate adjustment of the treatment plan, thus maximizing the success rate and efficiency of treatment; The function of the effect analysis unit is to conduct a detailed analysis of the health problems that occur during the treatment process and put forward adjustment suggestions. By deeply analyzing the real-time data and historical data, the effect analysis unit can identify possible problems during the treatment process, such as inappropriate drugs, improper dosages, too long or too short treatment cycles, etc., and give scientific adjustment suggestions. By analyzing the trend of the health changes of the diseased livestock, the unit can timely discover potential health risks, provide a basis for optimizing the treatment plan, ensure the comprehensiveness and accuracy of the treatment, can timely discover the problems existing in the treatment process, provide accurate adjustment plans, avoid deviations or inappropriate drug use during the treatment process, and reduce the occurrence of side effects and adverse reactions. Through real-time health data analysis, the effect analysis unit can help veterinarians better understand the treatment response of the diseased livestock and ensure the effectiveness and safety of the treatment plan. By deeply analyzing the health problems of the diseased livestock, the effect analysis unit helps to improve the success rate of the treatment and ensure the scientific nature and personalization of the treatment plan.

[0038] The information notification and warning module includes a data analysis unit, a visualization display unit, and a report generation unit. The data analysis unit is used to analyze the real-time health data to provide an accurate health status assessment. The visualization display unit is used to display the analysis results in the form of charts or images to help users quickly understand the health status. The report generation unit is used to automatically generate a treatment report based on the analysis results for veterinarians and farmers to refer to.

[0039] Specifically, the main function of the data analysis unit is to deeply analyze the real-time health data from the diseased livestock, evaluate the health status of the diseased livestock, and provide a scientific basis for subsequent treatment decisions. The unit comprehensively processes physiological data, behavioral data, and biological sample data, identifies health abnormalities and provides health assessments, helping veterinarians timely discover potential problems of the diseased livestock and make quick responses. Through data analysis, the system can accurately evaluate the development trend of the disease condition, treatment effect, and recovery situation of the diseased livestock, thereby improving the accuracy of disease diagnosis and the personalization of the treatment plan. It can accurately evaluate the health status of the diseased livestock by deeply analyzing the real-time data, identify the early symptoms of the disease, and timely issue warning signals to prevent the deterioration of the disease condition. Through continuous data monitoring and analysis, the situation of missed diagnosis, misdiagnosis, or treatment delay of diseases can be effectively reduced, ensuring the continuous optimization of the treatment plan during the recovery process of the diseased livestock, improving the treatment effect. The data analysis unit can also provide accurate data support for the visualization display unit, making the presentation of the results more intuitive and easy to understand, helping veterinarians and farmers make quick and accurate decisions; The role of the visualization display unit is to present the health status assessment results provided by the data analysis unit to users in an intuitive way such as through charts and images. Presenting the health data of diseased livestock in a graphical way can help veterinarians and farmers more intuitively and quickly understand the health status of diseased livestock and provide support for decision-making. The visualization display unit can not only clearly display the physiological indicators of diseased livestock, but also show the disease development trend and treatment effect, enabling users to quickly obtain key information when viewing the health status. Through intuitive charts and images, veterinarians and farmers can quickly understand the health status of diseased livestock without in-depth analysis of a large amount of data. This intuitive display method makes the evaluation of treatment effect more efficient and reduces misunderstandings or neglect caused by information overload. Through visualization, information such as the health trend and treatment progress of diseased livestock becomes clearer, thus helping users quickly make reasonable treatment decisions. It can also automatically adjust the chart display according to the changes in the health data of diseased livestock to reflect the changes in treatment effect and health status in real time; The role of the report generation unit is to automatically generate a detailed treatment report based on the analysis results of the data analysis unit. This report summarizes information such as the health status, treatment plan, treatment effect, and suggestions of diseased livestock into a document for veterinarians and farmers to refer to. The generation of the treatment report not only provides a basis for diagnosis and treatment for veterinarians, but also helps farmers understand the treatment process and health changes of diseased livestock, guiding them in the next treatment and care. It can reduce the workload of manually writing reports and improve the efficiency and accuracy of report generation. Through automated report generation, the treatment report can be quickly provided to relevant personnel, thus accelerating the decision-making process and ensuring information consistency. The treatment report can also provide an important reference for subsequent health management and treatment plans, ensuring the continuity and personalization of treatment plans.

[0040] The system management and security module includes a data security unit, a system monitoring unit, and a system update unit. The data security unit is used to encrypt all transmitted and stored data. The system monitoring unit is used to monitor the running status of the system. The system update unit is used to automatically or manually update the system functions and databases according to the system running status and technological progress.

[0041] Specifically, the main function of the data security unit is to protect all transmitted and stored health data of sick animals from unauthorized access, leakage, tampering or loss. The health data of sick animals is sensitive information, involving physiological data, treatment records, etc. of sick animals. The confidentiality, integrity and availability of this data must be ensured during storage and transmission. The data security unit protects data through encryption processing to ensure the secure transmission of data between different systems and prevent hacker attacks or data leakage. It can effectively prevent data leakage or tampering, ensure that the health data of sick animals remains highly secure during storage and transmission, and reduce data security risks. Encryption processing ensures that the health information of sick animals will not be accessed or abused by unauthorized personnel, thereby enhancing the trust and stability of the system. At the same time, the encryption protection of sensitive information by the data security unit helps to meet the requirements of relevant laws and regulations on data privacy protection, and avoid legal liability and economic losses caused by data leakage; The system monitoring unit is responsible for real-time monitoring of the system's operating status and detecting the system's performance, stability, and security. By promptly detecting system failures or anomalies, the system monitoring unit can issue early warnings for potential problems, ensure system stability, and prevent the system from shutting down or failing to operate normally. It can monitor the system's operating status in real time, promptly detect performance bottlenecks, network delays, or hardware failures, and provide early warnings to reduce the risk of system downtime or service interruptions, ensuring that the system can always run efficiently and stably. Through system monitoring, administrators can quickly locate problems, troubleshoot or optimize, and improve system availability and reliability. In addition, the system monitoring unit can also generate monitoring reports to provide data support for subsequent system optimization and upgrades; The role of the system update unit is to automatically or manually update system functions and databases according to the system's operating status, technological progress and user feedback. With the development of technology and changes in business needs, the system needs to be continuously updated and optimized to ensure the advancement, compatibility and stability of its functions. The system update unit can optimize functions, fix vulnerabilities, update databases and introduce new functions in a timely manner based on the results of system performance monitoring to ensure that the system always remains in the best operating state. Through timely function updates and database maintenance, the system can improve performance, enhance security and adapt to changes in the business environment. The automatic update function also reduces manual intervention and reduces the risk of human errors during the update process. In addition, the system update unit can ensure that the database and application are always kept up to date, improve data processing capabilities and response speed, and enhance user experience.

[0042] Although embodiments of the present invention have been shown and described, those of ordinary skill in the art will appreciate that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A sick animal treatment and recovery system, characterized in that: include: Data acquisition and processing module, data transmission and storage module, disease diagnosis and prediction module, treatment plan generation and personalization module, telemedicine and control module, intelligent drug delivery and management module, treatment effect feedback and optimization module, information notification and early warning module and system management and security module; The data collection and processing module is used to collect various data of sick animals in real time and perform data preprocessing; The data transmission and storage module is used to transmit the collected data to the database for storage and management; The disease diagnosis and prediction module is used to diagnose the health status of sick animals and predict diseases based on stored historical data and real-time data; The treatment plan generation and personalization module is used to automatically generate a personalized treatment plan based on the health status of the sick animal; The telemedicine and control module is used by veterinarians to remotely monitor the health status of sick animals and remotely adjust treatment plans; The intelligent drug delivery and management module is used to automatically deliver drugs according to the treatment plan and adjust the dosage and administration method of the drugs in real time; The treatment effect feedback and optimization module is used to monitor the treatment effect in real time and automatically optimize the treatment plan; The information notification and early warning module is used to detect whether abnormalities occur in the treatment process of sick animals, and issue warnings through the early warning system to notify relevant personnel to handle the situation; The system management and security module is used to encrypt data security and normal system operation, and to perform system updates and optimizations.

2. A sick animal treatment and recovery system according to claim 1, characterized in that: The data acquisition and processing module includes a physiological data acquisition unit, a behavioral data acquisition unit and a biological sample acquisition unit. The physiological data acquisition unit is used to monitor the physiological data of sick animals, and the physiological data includes body temperature, heart rate, and respiratory rate. The behavioral data acquisition unit is used to monitor the activity level, diet and abnormal behavior of sick animals. The biological sample acquisition unit is used to collect blood, urine, and feces samples of sick animals for chemical analysis to obtain health-related biological indicators. The various data include physiological data, behavioral data and biological sample data.

3. A sick animal treatment and recovery system according to claim 1, characterized in that: The data transmission and storage module includes a data transmission unit, a cloud storage unit and a data management unit. The data transmission unit is used to transmit the collected data to the database in real time via a wireless network. The wireless network includes at least one of Wi-Fi, 4G or 5G. The cloud storage unit is used to store the collected data in a cloud database for big data analysis and query. The data management unit is used to effectively manage, query and back up the data stored in the cloud.

4. A sick animal treatment and recovery system according to claim 1, characterized in that: The disease diagnosis and prediction module includes a diagnosis unit, a disease identification unit and a prediction unit. The diagnosis unit is used to perform health diagnosis of sick animals based on real-time and historical data. The disease identification unit is used to identify potential diseases and classify their types through a machine learning algorithm. The prediction unit is used to predict the health change trend of sick animals and identify possible health problems based on data analysis.

5. The sick animal treatment and recovery system according to claim 1, characterized in that: The treatment plan generation and personalization module includes a treatment plan library unit, a personalization adjustment unit and a treatment plan generation unit. The treatment plan library unit is used to store standard treatment plans for different diseases. The personalization adjustment unit is used to automatically adjust the treatment plan according to the personalized information of the breed, age and health status of the sick animal. The treatment plan generation unit is used to automatically generate and optimize the treatment plan to meet the individualized treatment needs of the sick animal.

6. A sick animal treatment and recovery system according to claim 1, characterized in that: The telemedicine and control module includes a remote monitoring unit, a remote control unit and a remote video monitoring unit. The remote monitoring unit is used for veterinarians to view the health data of sick animals in real time and make diagnoses through a remote platform. The remote control unit is used to remotely control drug administration, adjust treatment plans and perform treatment operations. The remote video monitoring unit is used to monitor the behavior and physiological conditions of sick animals through video to assist veterinarians in making decisions.

7. The sick animal treatment and recovery system according to claim 1, characterized in that: The intelligent drug delivery and management module includes a drug dispensing unit, a dosage adjustment unit and a drug delivery control unit. The drug dispensing unit is used to automatically distribute drugs and control drug dosage according to the treatment plan, the dosage adjustment unit is used to adjust the drug dosage according to real-time monitoring data, and the drug delivery control unit is used to accurately deliver drugs through automated equipment.

8. The sick animal treatment and recovery system according to claim 1, characterized in that: The treatment effect feedback and optimization module includes a health monitoring unit, an optimization algorithm unit and an effect analysis unit. The health monitoring unit is used to collect health data of sick animals in real time and evaluate the treatment effect. The optimization algorithm unit is used to automatically adjust the treatment plan based on the treatment effect feedback. The effect analysis unit is used to analyze health problems that arise during the treatment process and put forward adjustment suggestions.

9. The sick animal treatment and recovery system according to claim 1, characterized in that: The information notification and early warning module includes a data analysis unit, a visualization display unit and a report generation unit. The data analysis unit is used to analyze real-time health data and provide accurate health status assessment. The visualization display unit is used to display the analysis results in the form of charts or images to help users quickly understand the health status. The report generation unit is used to automatically generate a treatment report based on the analysis results for reference by veterinarians and breeders.

10. The sick animal treatment and recovery system according to claim 1, characterized in that: The system management and security module includes a data security unit, a system monitoring unit and a system update unit. The data security unit is used to encrypt all transmitted and stored data, the system monitoring unit is used to monitor the operating status of the system, and the system update unit is used to automatically or manually update system functions and databases according to the system operating status and technological progress.

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