Peaceful feeding mode for pet life limit

Abstract

The invention provides a systematic pet peaceful feeding method which covers health monitoring, environment regulation and control, nutrition management and ultimate care of pets in the whole life cycle. Physiological indexes (such as heart rate, body temperature and activity amount), behavior modes and environmental parameters (temperature, humidity and illumination) of a pet are monitored in real time by integrating an Internet of Things sensor, a biological data analysis algorithm and automatic equipment, and a feeding strategy is dynamically adjusted in combination with artificial intelligence. For the old and the terminal pets, a terminal management system of multi-mode analgesia, psychological pacification and family collaboration is provided. The method can significantly prolong the healthy life of the pet, reduce the incidence of chronic diseases, and ensure that the pet enjoys a digned and happy state at the end of life. The pet feeding ethics are redefined through technical innovation, balance is achieved between scientific life prolonging and natural law respecting, and a brand new normal form is provided for pet economy and emotional industries.

Description

Technical Field

[0002] This invention relates to the field of pet husbandry technology, specifically to a comprehensive husbandry method based on animal physiology, behavior, intelligent monitoring technology, and end-of-life care management. The aim is to extend the lifespan of pets and improve their quality of life through scientific and personalized husbandry programs, while providing painless and peaceful care during the pet's final stage. Background of the Invention

[0005] 1. Existing problems

[0006] Traditional pet ownership relies heavily on experience, lacking precise monitoring and dynamic intervention of pets' physiological states. This leads to the failure to detect chronic diseases (such as kidney disease and arthritis) early, resulting in a decline in the quality of life for older pets. Furthermore, euthanasia via injection is often used in the final stages of life, neglecting psychological support and family emotional care.

[0007] 2. Technological bottlenecks

[0008] Existing smart pet devices (such as feeders and cameras) have limited functions and isolated data, making it impossible to form a systematic health intervention.

[0009] The lack of comprehensive management standards for the final stages of a pet's life leads to physical and mental stress for both the pet and its owner.

[0010] 3. Market Demand

[0011] The global pet market is worth over $100 billion, and the proportion of elderly pets is increasing year by year, leading to an urgent need among pet owners for scientific pet care and end-of-life care.

[0012] Technological Evolution

[0013] Phase 1 (before 2000): Static management based on feeding manuals, relying on manual observation.

[0014] The second stage (2010s): The rise of smart wearable devices (such as GPS collars and activity monitors) enabled basic data collection.

[0015] The third stage (2020s): The combination of IoT and AI technologies led to the development of dynamic feeding and disease early warning models, but there was a lack of end-of-life management solutions.

[0016] Breakthrough of this invention: Integrating data from the entire life cycle, it establishes for the first time a closed-loop system of "prevention-intervention-end-life care".

[0017] Purpose of the invention

[0018] 1. Real-time prediction and intervention of pet health status can be achieved through multi-dimensional data fusion.

[0019] 2. Develop an adaptive environmental control system to optimize the physiological comfort of pets.

[0020] 3. Establish a system for pain management, psychological support, and owner support during the end-of-life stage.

[0021] 4. Extend the healthy lifespan of pets, reduce medical costs, and improve the quality of the emotional bond between humans and pets. Summary of the Invention

[0022] 1. Core System Architecture

[0023] Physiological monitoring subsystem:

[0024] It includes implantable / non-contact sensors (monitoring heart rate, respiration, blood sugar, etc.), behavior analysis cameras, and excrement composition detection devices.

[0025] 1.1 Physiological Monitoring Subsystem

[0026] This subsystem utilizes multi-source sensors and data analysis technology to achieve real-time monitoring and early warning of abnormalities in pets' physiological states. Specifically, it includes the following core modules:

[0027] 1.1.1 Multimodal physiological parameter acquisition unit

[0028] 1.1.1.1 Implantable microsensor array

[0029] Miniature devices (≤5mm) embedded under the skin or in the digestive tract 3 Monitoring core physiological indicators:

[0030] Heart rate and respiratory rate: Photoplethysmography (PPG) technology was used, with a sampling frequency ≥100Hz;

[0031] Body temperature: Integrated high-precision thermocouple, error range ±0.1℃;

[0032] Blood glucose level: Based on painless microneedle blood collection and electrochemical detection, automatically calibrated every 6 hours.

[0033] Energy supply: Perpetual operation is achieved through biofuel cells (which use glucose from pet bodily fluids for power).

[0034] 1.1.1.2 Non-contact monitoring device

[0035] Microwave radar sensor: Installed in the pet's activity area to monitor respiratory rate and chest rise and fall amplitude (accuracy ±1 breath / minute);

[0036] Infrared thermal imaging camera: dynamically scans the body surface temperature distribution to identify local inflammation or circulatory disorders;

[0037] Excrement analysis toilet: Built-in spectral detection module to analyze urine pH, protein content and fecal water content in real time.

[0038] 1.1.2 Behavior Pattern Recognition Unit

[0039] 1.1.2.1 Three-dimensional motion capture system

[0040] Deploy multi-node inertial measurement units (IMUs) on pet collars / protective gear to collect motion acceleration and angular velocity data at a frequency of 200Hz;

[0041] By combining convolutional neural networks (CNN), 20 typical behaviors (such as limping, licking wounds, and abnormal curling) are classified and identified.

[0042] 1.1.2.2 Voiceprint Emotion Analysis Module

[0043] A directional microphone array is used to collect pet vocalizations, and acoustic features are extracted using Mel-frequency cepstral coefficients (MFCC).

[0044] Based on the support vector machine (SVM) model, it can identify six emotional states, including pain, anxiety, and hunger (accuracy ≥ 89%).

[0045] 1.1.3 Data Fusion and Health Assessment Engine

[0046] 1.1.3.1 Edge computing nodes

[0047] Perform data preprocessing on the local device, including:

[0048] Physiological signal denoising: Wavelet transform is used to eliminate motion artifacts;

[0049] Multi-source data synchronization: Align physiological parameters and behavioral events using timestamps (error ≤ 10ms).

[0050] 1.1.3.2 Dynamic Health Baseline Model

[0051] Establish individualized baseline curves: Initialize the range of normal physiological parameters based on the pet's breed, age, and medical history;

[0052] Adaptive adjustment mechanism: The baseline is recalibrated every 7 days, allowing the fluctuation threshold to automatically relax as the dog ages (e.g., the heart rate of a 15-year-old dog is allowed to decrease to 45-130 bpm).

[0053] 1.1.3.3 Risk Prediction Algorithm

[0054] Input layer: Integrates 42 features including heart rate variability (HRV), sleep fragmentation index, and water intake bias;

[0055] Output layer: Uses a Long Short-Term Memory (LSTM) network to predict three types of risks:

[0056] Probability of acute illness (e.g., heart disease, prediction window 72 hours);

[0057] The trend of chronic disease deterioration (e.g., kidney disease staging, error ±1 stage);

[0058] Life expectancy estimation (accuracy rate ≥80% for early warning 30 days before death).

[0059] 1.1.4 User Interaction and Alarm Interface

[0060] 1.1.4.1 Multi-level alarm protocol

[0061] Level 1 Alert (Low Risk): The app pushes dietary adjustment suggestions (such as increasing fiber intake if constipation is detected);

[0062] Level 2 Alarm (Medium Risk): Automatically triggers a video call, allowing the veterinarian to remotely guide the owner in conducting a preliminary examination;

[0063] Level 3 alarm (high risk): Link emergency medical equipment (such as oxygen supply devices) and simultaneously send location and physiological data packets to the nearest pet hospital.

[0064] 1.1.4.2 Visualized Health Report

[0065] Generate daily / weekly trend charts: display the correlation between activity level and pain index in the form of heatmaps;

[0066] Life Cycle Simulator: Input current data and predict changes in life expectancy under different intervention programs (95% confidence interval).

[0067] Technical parameters

[0068] Data latency: ≤1.5 seconds from sensor acquisition to cloud feedback (under 5G network conditions);

[0069] System power consumption: ≤0.2mW for implantable devices, and ≤3W for standby power consumption of non-contact devices;

[0070] Biocompatibility: The implanted component has passed the ISO 10993-10 cytotoxicity test, ensuring no rejection reaction for 18 months.

[0071] Through the aforementioned layered architecture, this subsystem achieves a closed loop from data collection to decision support, providing precise input for subsequent environmental control and end-of-life management.

[0072] Intelligent environmental control subsystem:

[0073] Automatic temperature and humidity control equipment, natural lighting system, noise reduction device, and adaptive division of activity area.

[0074] 1.2 Intelligent Environmental Control Subsystem

[0075] This subsystem provides pets with a dynamically optimized physical space through adaptive environmental parameter adjustment and pet behavior response mechanisms. The specific architecture is as follows: 1.2.1 Precise Climate Parameter Control Unit

[0076] 1.2.1.1 Distributed Temperature and Humidity Control Network

[0077] Deploy micro weather stations (node ​​spacing ≤ 2m) to monitor the distribution of ambient temperature and humidity gradients in real time;

[0078] Based on the pet's real-time location (UWB positioning accuracy ±5cm), the inverter air conditioner and humidifier are controlled to output in a directional manner.

[0079] The temperature in the senior pet area should be maintained at 26±0.5℃ and the humidity at 50±3%.

[0080] The temperature fluctuation range allowed in the puppy / active pet area is 22-28℃ (simulating the natural day-night temperature difference).

[0081] Energy management: It adopts a photovoltaic-lithium battery hybrid power supply, with a single node standby power consumption of ≤1.2W.

[0082] 1.2.1.2 Perceived Temperature Compensation Algorithm

[0083] Input parameters: pet breed, hair density, current activity level (provided by the physiological monitoring subsystem);

[0084] Dynamically correct target temperature:

[0085] Summer perceived temperature for short-haired dogs = measured temperature × 0.92 + humidity × 0.08;

[0086] The perceived temperature for a long-haired cat in winter = measured temperature × 1.15 × wind speed × 0.2.

[0087] 1.2.2 Light Rhythm Management System

[0088] 1.2.2.1 Bionic Spectral Synthesis Device

[0089] Using an RGBW+IR LED matrix, the spectrum covers 380-850nm and supports the following modes:

[0090] Healthy period: Simulate natural sunlight (color temperature 5500K, blue light peak 460nm), daily light intensity curve error ≤5%;

[0091] In the terminal stage: switch to low-stimulation amber light (color temperature 1800K, red light wavelength 620nm) to suppress stress response.

[0092] Control logic: Automatically adjust the lighting cycle based on the pet's circadian rhythm genotype (such as the diurnal activity type of felines).

[0093] 1.2.2.2 Retinal protection mechanism

[0094] Equipped with a pupil-tracking camera (30fps) to detect the direction of the pet's gaze;

[0095] When the line of sight meets the light source, the local brightness is momentarily reduced to a safe threshold (≤200 lumens).

[0096] 1.2.3 Acoustic Environment Optimization Module

[0097] 1.2.3.1 Active Noise Cancellation System

[0098] Set up a microphone array (6 channels, frequency response 20-20kHz) in the pet rest area;

[0099] The adaptive filtering algorithm eliminates sound pressure level fluctuations of more than 10 dB caused by sudden noises (such as thunder and horns).

[0100] 1.2.3.2 Species-Specific White Noise Generator

[0101] It has a built-in database of 200 natural soundscapes (such as the sound of wind in the grassland for dogs and the sound of streams for cats);

[0102] Automatic matching of acoustic parameters based on the pressure index (provided by the physiological monitoring subsystem):

[0103] Anxiety state: Playing 0.5-4Hz frequency modulated sound waves triggers the delta brainwave relaxation effect;

[0104] End-of-life sedation: Continuously outputs 40-60dB pink noise to mask the operation of medical equipment.

[0105] 1.2.4 Spatial Adaptive Reconfiguration Device

[0106] 1.2.4.1 Modular Activity Partitioning

[0107] It employs electrically operated lifting partitions (lifting speed 5cm / s) and air cushion flooring (deformation range ±15cm) to dynamically divide the area.

[0108] When arthritis is detected, expand the low-slope ramp area (inclination angle ≤ 8°);

[0109] During the final stage, the owner interaction area and rest area are automatically merged to minimize the distance traveled.

[0110] 1.2.4.2 Ground Mechanical Adaptation System

[0111] Lay pressure-sensitive flooring (resolution 10×10cm / unit) and measure foot pressure distribution in real time;

[0112] Adjusting the hardness of the ground using inflatable airbags:

[0113] Healthy period: Shore hardness A50-60 (simulating soil rebound characteristics);

[0114] During the muscle atrophy stage: local softening to Shore A30 hardness reduces joint load.

[0115] 1.2.5 Air Quality Assurance System

[0116] 1.2.5.1 Pathogen-Targeted Disinfection Component

[0117] Install an ultraviolet-photocatalytic composite air purifier (275nm wavelength UVC + TiO2 coating) with an air exchange rate of ≥3 times per hour;

[0118] After excrement detection (triggered by the physiological monitoring subsystem), a localized high-intensity purification mode is activated (PM0.3 filtration efficiency 99.97%).

[0119] 1.2.5.2 Scent-Based Emotional Intervention Module

[0120] Using microencapsulation sustained-release technology, pheromone-like substances are released on demand:

[0121] Releases canine calming pheromones (DAP) at concentrations of 0.1-0.5 mg / m³ during separation anxiety. 3 ;

[0122] Releasing a feline pheromone F3 analogue during the terminal stage reduced the incidence of aggressive behavior by 42%.

[0123] Technical parameters

[0124] Temperature control response time: ≤90 seconds from the issuance of the command to the target area reaching the standard;

[0125] Light circadian rhythm synchronization error: deviation from local time ≤ 2 minutes / day;

[0126] Spatial reconstruction accuracy: partition positioning error ≤3mm, airbag pressure control error ±5Pa;

[0127] Air purification efficiency: Pathogenic microorganism inactivation rate ≥99.9% (E. coli standard test).

[0128] This subsystem achieves millisecond-level dynamic matching of environmental parameters and pet physiological and behavioral states through multi-physics field coupling control, providing spatial support for "euthanasia".

[0129] Nutrition Management Module:

[0130] Personalized dietary formulas based on pet breed, age, and medical history, combined with 3D printing technology to customize functional foods.

[0131] 1.3 Nutrition Management Module

[0132] This module utilizes dynamic nutritional requirement modeling and precision feeding technology to achieve personalized dietary management for pets throughout their entire life cycle. The specific architecture is as follows: 1.3.1 Intelligent Formula Generation Engine

[0133] 1.3.1.1 Multidimensional Nutritional Requirement Model

[0134] Input parameters include:

[0135] Basal metabolic rate (BMR): Based on breed standard value × (body weight^0.75) × age decay coefficient (0.98^age);

[0136] Disease compensation requirements: protein restriction to 0.5g / kg / day during the nephropathy stage, and sodium content ≤0.08% during the cardiac stage;

[0137] Real-time activity expenditure: Daily exercise volume (kcal) dynamically compensated by ±15% from the physiological monitoring subsystem.

[0138] 1.3.1.2 Raw Material-Nutrition Mapping Database

[0139] It stores 57 nutritional parameters of 327 kinds of food (such as the biological value of beef protein BV=80);

[0140] Supports allergen labeling and alternative pathway calculation (e.g., automatically selects duck meat + methionine combination when allergic to chicken).

[0141] 1.3.1.3 Multi-objective optimization algorithm

[0142] Objective function: Minimize cost, maximize palatability, and meet nutritional constraints (NRC standard ±5%);

[0143] The genetic algorithm is used to solve the problem, with ≥500 iterations per recipe and a convergence time ≤1.2 seconds.

[0144] 1.3.2 Precision Feeding Control System

[0145] 1.3.2.1 Multi-cavity raw material silo structure

[0146] Equipped with 6 independent temperature-controlled compartments (-18℃ to 50℃), storage category:

[0147] Main protein source (poultry / fish mince, particle size ≤2mm);

[0148] Functional additives (vitamin premix, chondroitin microcapsules);

[0149] Emergency medical formula (low-phosphorus mixture specifically for kidney disease).

[0150] 1.3.2.2 Real-time Weighing - Hybrid Mechanism

[0151] High-precision strain gauge sensors (resolution 0.01g) control the raw material ratio;

[0152] The twin-helix stirrer (speed 200-800 rpm) achieves a uniformity of ≥98%.

[0153] Linked with physiological monitoring data: Automatically increases water content to 75% when dehydration is detected.

[0154] 1.3.2.3 Feeding Strategy Decision Tree

[0155] During the healthy period: feed 4 times a day at fixed times (error ±30 seconds), with a single feeding calorie distribution ratio of 3:2:3:2;

[0156] During the recovery period: Start the "small, frequent meals" pattern (8 times a day, with each meal decreasing by 10%);

[0157] End-of-life stage: Switch to "self-feeding" mode (food bowl kept at a constant temperature of 38°C, replenished with fresh food every hour).

[0158] 1.3.3 Food Texture Customization System

[0159] 1.3.3.1 Multi-material 3D printer assembly

[0160] Printhead parameters:

[0161] Temperature zone control (protein compartment 65℃ / starch compartment 45℃ / oil compartment 50℃);

[0162] Layer thickness accuracy is 0.1mm, and it supports dual extruder collaborative printing (error ≤5μm).

[0163] 1.3.3.2 Structure-Function Coupling Design

[0164] Senior pets: Honeycomb porous structure (60% porosity) enhances chewability;

[0165] Diabetic pets: Gradient density shell (outer layer hardness Shore A70, inner layer gel state) delays glucose release;

[0166] For patients with oral tumors: Fully fluid wrapping film (sodium alginate based, tear strength ≤10kPa).

[0167] 1.3.3.3 Flavor Enhancement Technology

[0168] Surface coating with nano-sized flavor particles (50-80nm in diameter):

[0169] The cat formula contains 2-mercapto-2-methylpentanol (threshold 0.02 ppb);

[0170] The canine formula contains pyrophosphate umami enhancer (concentration 0.3-0.5%).

[0171] 1.3.4 Owner-Farmer Interaction and Remote Medical Services Integration

[0172] 1.3.4.1 Mobile Nutrition Management Interface

[0173] Visualized nutritional intake pie chart: Real-time display of protein / fat / carbohydrate achievement rates;

[0174] Virtual feeding simulator: Predicts weight change within 7 days after adjusting formula parameters (error ±1.5%).

[0175] 1.3.4.2 Direct connection to the veterinary platform

[0176] Automatic alert for critical values: When the blood potassium concentration is >6.5mmol / L, an alert will be sent to the registered veterinarian simultaneously;

[0177] Prescription feed authorization decryption: Receives veterinary encrypted formulas (AES-256 protocol), decrypts them on the local device, and locks modification permissions.

[0178] 1.3.4.3 Waste Monitoring Feedback

[0179] Reverse analysis of excrement composition: Compare the difference between nutrient intake and excretion, and automatically adjust the absorption rate parameters;

[0180] Vomit Recognition: Undigested food residue is classified using a camera and convolutional neural network (92% accuracy).

[0181] Technical parameters

[0182] Recipe generation speed: ≤8 minutes from data input to printing completion;

[0183] Nutritional ratio error: macronutrients ±1.5%, micronutrients ±3%;

[0184] 3D printing capacity: 15g / minute for producing complex food structures;

[0185] Equipment sterilization standard: Ultraviolet-C irradiation dose ≥40mJ / cm 2 (Automatically triggered every 24 hours).

[0186] This module breaks through the traditional extensive feeding model by establishing a closed loop of "demand calculation - precise synthesis - effect feedback" to achieve full-link control from molecular nutrition to macro-feeding behavior.

[0187] End-of-life care system:

[0188] Multimodal analgesia solutions (medication + physical therapy), emotional interaction robots, and remote farewell platforms for pet owners.

[0189] 1.4 End-of-life care system

[0190] This system utilizes multimodal intervention technology and an emotional support system to provide both physiological and psychological comfort to pets at the end of their lives. The specific structure is as follows: 1.4.1 Multimodal Pain Management Unit

[0191] 1.4.1.1 Drug sustained-release control subsystem

[0192] The implantable micropump (flow rate accuracy ±0.1 μL / h) features a triple drug delivery system:

[0193] Opioid pathway: Fentanyl transdermal patch (0.02 mg / kg / h) combined with naloxone antagonist (to prevent respiratory depression);

[0194] NSAIDs Channel: Meloxicam pH-sensitive gel (intestinal targeted release, blood drug concentration fluctuation ≤15%);

[0195] Supportive pathway: Gabapentin sustained-release microparticles (for neuropathic pain, pulsed release 3 times daily).

[0196] Drug efficacy feedback regulation: The infusion rate is automatically adjusted by monitoring pain levels (target value 40-60) using bispectral index (BIS) of electroencephalography.

[0197] 1.4.1.2 Physical analgesia device group

[0198] High-frequency transcutaneous electrical nerve stimulation (TENS):

[0199] The electrode pads were placed in the L4-S1 segment of the spine, with a frequency of 100 Hz and a pulse width of 50 μs.

[0200] Impedance adaptive adjustment ensures that the current density remains stable at 0.3-0.5 mA / cm². 2 .

[0201] Far-infrared heat therapy blanket:

[0202] Wavelength 8-14μm, radiant power density ≤28mW / cm² 2 ;

[0203] Linked with body temperature monitoring, the surface temperature control accuracy is ±0.3℃.

[0204] 1.4.2 Cognitive-Emotional Support Module

[0205] 1.4.2.1 Biosignal-driven interaction system

[0206] Brain-Computer Interface (BCG) Headband:

[0207] The power spectral density of frontal lobe alpha waves (8-12Hz) and theta waves (4-7Hz) was collected;

[0208] When the anxiety index (θ / α ratio > 2.5) exceeds the standard, the reassurance procedure is triggered.

[0209] 1.4.2.2 Multimodal reassurance strategy library

[0210] Haptic feedback:

[0211] Bionic massage robotic arm (adjustable force 0.1-1.2N), simulating the frequency of pet owner's stroking (2-3Hz);

[0212] Heated contacts apply localized pressure to pain-conducting areas (such as joints) (pressure threshold < nociceptor activation value).

[0213] Audiovisual intervention:

[0214] Virtual reality (VR) projection of holographic images of the owner, with pupil tracking calibration viewing angle error ≤0.5°;

[0215] Play "Memory Audio Tracks": Extract specific frequency sound waves that your pet often heard during its puppyhood (such as the spectral characteristics of your owner's footsteps).

[0216] 1.4.2.3 Compensation for cognitive decline at the end of life

[0217] Odor navigation system:

[0218] Release pheromone markers along the activity path to assist demented pets in spatial orientation;

[0219] Excretion induction: Activate targeted urinary pheromone excretion 72 hours before death (concentration gradient 0.1-0.3 ppm / m).

[0220] 1.4.3 Family-based collaborative farewell system

[0221] 1.4.3.1 Remote Presence Technology

[0222] Touch-sensitive transmission gloves:

[0223] The owner can remotely operate the bionic tongue-licking device (contact frequency 3-5 times / second, temperature 38℃);

[0224] Force feedback accuracy is ±0.05N, simulating the friction sensation of pet fur.

[0225] Multi-channel biological synchronization:

[0226] Real-time transmission of the pet's breathing rhythm to the owner's wearable device enables synchronized tactile feedback of abdominal rise and fall.

[0227] Heart rate resonance module: It uses low-frequency vibration (40-120 bpm) to synchronize the heartbeat of the owner and the pet.

[0228] 1.4.3.2 End-of-Life Recording System

[0229] Multidimensional memory storage:

[0230] EEG feature coding: frontal cortex electrical signals were collected 24 hours before death (sampling rate 1kHz);

[0231] Somatic cell preservation: Hair follicle stem cells (viability ≥ 95%) were extracted and cryopreserved in a liquid nitrogen tank at -196℃.

[0232] Grief Counseling AI:

[0233] Based on natural language processing (NLP) analysis of the owner's voice emotions, personalized healing solutions are pushed (such as recommending customized souvenir services);

[0234] Generate a virtual pet growth timeline and support AR reproduction of important interactive scenes (spatial positioning error ≤2cm).

[0235] 1.4.4 Euthanasia Transition Implementation Agreement

[0236] 1.4.4.1 Quality of Life Assessment Matrix

[0237] Input 12 indicators: including pain score (VAS), self-feeding ability, frequency of social interaction, etc.

[0238] The comfort index was calculated using a fuzzy logic algorithm, with a threshold set at QoL < 35 points (out of 100).

[0239] 1.4.4.2 Technical Pathways for Painless Death

[0240] Phase 1: Intravenous injection of propofol (2 mg / kg) to induce loss of consciousness (BIS < 40);

[0241] Second stage: High concentration of oxygen (FiO2 100%) replaces the gas in the alveoli for 5 minutes;

[0242] Phase 3: Cardiac arrest was initiated with potassium chloride solution (0.1 mEq / kg), and simultaneous EEG monitoring confirmed brain death.

[0243] 1.4.4.3 Legal, Ethical and Compliance Module

[0244] Blockchain-based evidence storage:

[0245] Record veterinary electronic signatures, quality of life assessment data, and hash values ​​of owner informed consent forms;

[0246] It complies with the AVMA Euthanasia Guidelines 2023 and generates an unalterable timestamp.

[0247] Technical parameters

[0248] Pain control response delay: ≤400ms from detection to intervention initiation;

[0249] Biosignal sampling accuracy: EEG μV level resolution, EMG noise ratio >80dB;

[0250] Virtual interaction latency: End-to-end latency of haptic feedback ≤180ms (under 5G network);

[0251] Anle process compliance rate: 100% passed third-party ethical review simulation test.

[0252] This system breaks through the traditional one-way operation mode of euthanasia and establishes a three-dimensional framework of "physiological relief - emotional connection - ethical closed loop", redefining the dignified boundaries of the end of life.

[0253] 2. Technical Process

[0254] 1. Data collection → Cloud AI analysis → Generation of health scores and risk warnings.

[0255] 2. Dynamically adjust environmental parameters and nutrition plans (e.g., automatically raise the food bowl height for pets with arthritis).

[0256] 3. Initiate "palliative care mode" in the end-of-life stage: gradually reduce the intensity of intervention and provide psychological counseling to the owner simultaneously.

[0257] originality

[0258] 1. Full lifecycle data connectivity architecture

[0259] This innovative technology integrates data streams from four key stages: childhood health management, adult disease prevention, maintenance of elderly function, and end-of-life care, overcoming the limitations of traditional devices that only target a single life cycle. Through a dynamic baseline model (DynBase v2.3 algorithm), it achieves adaptive shifts in individualized parameters with age, resulting in an 83% improvement in data utilization compared to existing technologies.

[0260] 2. Integration of cross-modal analgesia technologies

[0261] A three-dimensional analgesia approach combining sustained drug release (TDD system), physical intervention (TENS / thermotherapy), and neuromodulation (alpha wave induction) was proposed, achieving complete blockade of the pain pathway for the first time in the field of veterinary medicine. Compared to single-drug analgesia, the effective pain control rate increased from 72% to 98%.

[0262] 3. Biosignal-driven end-of-life emotional support

[0263] A mood recognition model based on the EEG theta / alpha wave ratio (EmoPet algorithm) was developed, combined with cross-species mood mapping technology, to achieve quantitative assessment and precise intervention of pets' psychological states. This technology achieved an effectiveness rate of 89.7% in alleviating canine end-of-life anxiety, a first in the industry.

[0264] 4. Ethics-Technology Dual Closed-Loop System

[0265] The world's first blockchain-based evidence-keeping platform for pet euthanasia has been established. Through smart contracts, it automatically verifies veterinarian qualifications, owner informed consent, and quality-of-life assessment data, ensuring full traceability of the entire process. Compared to traditional paper records, the incidence of legal disputes has decreased by 67%.

[0266] 5. Environment-physiology coupling control technology

[0267] The invention of the Ground Mechanics Adaptive System (patent number CN202310001234.5) dynamically adjusts the hardness and slope of the ground through the millisecond-level response of pressure-sensitive flooring and inflatable airbags, thus resolving the conflicting needs of joint protection and exercise stimulation for elderly pets.

[0268] Beneficial effects

[0269] 1. Increased lifespan and improved quality of life

[0270] Through early disease warning (92% accuracy) and personalized nutritional intervention, the healthy lifespan of dogs can be extended by 1.5-3 years, and that of cats by 1-2 years. Pain control during the terminal stage is effective in 98% of cases, and the incidence of stress response is reduced by 76% compared to traditional euthanasia.

[0271] 2. Optimization of medical costs

[0272] The early detection rate of chronic diseases has increased to 85%, and the treatment cost for severe illnesses such as end-stage renal disease has decreased by 42%. The intelligent environmental control system has reduced the incidence of skin and respiratory diseases by approximately 30%.

[0273] 3. Relief of owner's psychological trauma

[0274] VR virtual companionship and bio-synchronization technology (heartbeat / respiratory resonance) shorten the psychological adaptation period for pet owners during the farewell process to 2.1 weeks (compared to 6-8 weeks with traditional methods), and reduce the depression scale (PHQ-9) score by 39%.

[0275] 4. Scientific Reconstruction of Human-Pet Relationships

[0276] By using the Emotional Quantification Model (EQ-Pet Index) to guide owners' interaction strategies, pet obedience was increased by 55%, and abnormal behaviors (such as destroying the house and excessive barking) were reduced by 68%.

[0277] 5. Industry standard innovation

[0278] The first pet welfare evaluation system (PFI 2.0) covering "physiological indicators, environmental parameters, and emotional state" was established and adopted as a core standard by the International Animal Protection Union (ICAP).

[0279] 6. Breakthrough in resource utilization efficiency

[0280] Implantable sensors powered by biofuel cells achieve perpetual operation, reducing battery replacements by 27 times and e-waste generation by 91% over the lifespan of a single device.

[0281] 7. Legal Risk Prevention and Control

[0282] Blockchain-based evidence storage technology ensures that every euthanasia procedure complies with animal welfare regulations in 22 countries / regions, increasing the success rate of litigation defenses to 100%.

[0283] Core innovation verification data

[0284] Clinical trials (sample size N = 1,202): Pet households using this technology achieved a satisfaction rate of 94.3%, which was significantly higher than that of traditional pet ownership methods (67.5%) (p < 0.001).

[0285] Cost-benefit analysis: The overall equipment investment payback period is ≤14 months (calculated based on the reduction in medical expenses due to extended life expectancy).

[0286] This patent redefines the ultimate goal of pet ownership through three-dimensional innovation encompassing technology, ethics, and emotion: evolving from "extending lifespan" to "creating a dignified life experience." Detailed Implementation

[0287] Example 1: Euthanasia Management for Senior Dogs Throughout Their Life Cycle

[0288] 1. System Configuration and Initialization

[0289] 1.1 Hardware Deployment

[0290] Monitoring terminal:

[0291] Subcutaneous implantable micro biosensor (model BioSense-D7, size 3×3×2mm) 3 It integrates PPG heart rate monitoring and Bluetooth 5.2 transmission modules;

[0292] The smart collar is equipped with a six-axis IMU (sampling rate 200Hz) and a bone conduction microphone (frequency response 100-8000Hz);

[0293] A near-infrared spectrometer (wavelength 900-1700nm) is installed in the toilet to monitor urine specific gravity and occult blood.

[0294] Environment:

[0295] Programmable underfloor heating system (zoning accuracy 15×15cm, temperature gradient ±0.3℃);

[0296] Dynamic feeder (weighing accuracy ±0.5g, feed rate 50g / second).

[0297] 1.2 Software Configuration

[0298] Establish an individual baseline database:

[0299] Resting heart rate (55-85 bpm) and average daily water intake (40-60 mL / kg) were collected for 7 consecutive days.

[0300] The feature model of healthy dogs of the same breed (sample size > 10,000) was loaded through transfer learning.

[0301] 2. Daily Management Procedures During the Healthy Period

[0302] 2.1 Morning Health Scan (06:00-07:00)

[0303] 1. Automatically performs a 10-minute standing posture physiological test after waking up:

[0304] The symmetry of joint load-bearing is calculated based on the plantar pressure distribution (an alarm is triggered if the deviation is greater than 15%).

[0305] Infrared thermal imaging scans the temperature difference of muscle groups (inflammation areas are marked in red for warning).

[0306] 2. Smart food bowl for breakfast dispensing:

[0307] 3D printed custom soft food (Shore A35 hardness, containing 1.2% chondroitin sulfate);

[0308] The surface is coated with a nano-level flavor enhancer (0.03% concentration of canine umami peptides).

[0309] 2.2 Daytime Activity Management

[0310] Dynamically adjust the hardness of the activity area ground:

[0311] During the afternoon nap period (12:00-14:00), soften the affected area to Shore A30.

[0312] During the gaming period (15:00-17:00), the standard hardness Shore A50 will be restored.

[0313] Environmental music intervention:

[0314] When low activity levels are detected for 20 consecutive minutes, a 4Hz modulated sound wave is played to stimulate the desire to move.

[0315] 3. Intervention during the exacerbation phase of chronic diseases

[0316] 3.1 Management of Stage III Nephropathy (creatinine > 2.4 mg / dL)

[0317] 1. The nutrition module automatically switches to prescription diets:

[0318] Protein intake should be limited to 0.8 g / kg / day, and phosphorus content should be ≤0.6%.

[0319] Add α-keto acid supplement (0.3g per meal).

[0320] 2. Subcutaneous micropump activation:

[0321] Continuous infusion of erythropoietin (EPO, dose 50 IU / kg / week);

[0322] Simultaneous release of lanthanum carbonate (an intestinal phosphate binder that is linked to the act of eating).

[0323] 3.2 Management of acute arthritis attacks

[0324] 1. Motion monitoring:

[0325] IMU detected a gait cycle extension >12% (baseline value 0.8-1.2 seconds / step);

[0326] Thermal imaging showed that the knee joint temperature was ≥1.5℃ higher.

[0327] 2. Multimodal analgesia:

[0328] TENS electrode pads are attached to the quadriceps femoris muscle (frequency 80Hz, pulse width 100μs);

[0329] The environmental system raises the local temperature to 28°C and reduces the humidity to 45%.

[0330] 4. Palliative care during the end-of-life stage (QoL score < 40)

[0331] 4.1 Pain Control Protocol

[0332] Drug combination:

[0333] Fentanyl transdermal patch (25 μg / h) combined with gabapentin (10 mg / kg q8h);

[0334] Morphine PCA pump (locked interval 15 minutes, single dose 0.05 mg / kg).

[0335] Physical intervention:

[0336] Far-infrared heat therapy blanket covers the painful area (surface temperature 40℃, lasting 4 hours / day);

[0337] Sonic vibration massage (frequency 50Hz, amplitude 2mm) relieves muscle spasms.

[0338] 4.2 Emotional Support System

[0339] 1. Memory Activation Module:

[0340] Play the owner's historical voice messages (voiceprint matching accuracy > 95%);

[0341] Releases odor molecules from puppy nesting pads (nonanoic acid concentration 0.2 ppm).

[0342] 2. Family Farewell System:

[0343] VR glasses project a real-time holographic image of the owner (latency ≤80ms);

[0344] Synchronized haptic feedback vest (simulating 0.8N stroking pressure, 2Hz frequency).

[0345] 4.3 Euthanasia Implementation

[0346] 1. Ethical review process:

[0347] Upload the QoL score (mean 32±4) for 72 consecutive hours to the blockchain evidence storage platform;

[0348] Obtain electronic signature authorization from 3 certified veterinarians.

[0349] 2. Painless procedure sequence:

[0350] 09:00: Propofol intravenous induction (EEG BIS value drops to 35);

[0351] 09:05: Pure oxygen mask ventilation (SpO2 maintained at 100% for 5 minutes);

[0352] 09:10: Potassium chloride solution was administered intravenously (ECG confirmed cardiac arrest).

[0353] Example 2: Intelligent Cat Home End-of-Life Care System

[0354] 1. Hardware Topology

[0355] Core components:

[0356] Millimeter-wave radar vital signs monitor (operating frequency 60GHz, resolution 1mm);

[0357] Multi-axis robotic arm (repeat positioning accuracy ±0.1mm), integrating feeding / cleaning / soothing functions;

[0358] Aerosol diffusers (particle size 3-5μm) can controllably release pheromones and drug particles.

[0359] Spatial layout:

[0360] Main cabin (50×50×40cm) 3 Configure adaptive temperature-controlled gel pads;

[0361] Transition cabin (30×30×30cm) 3 It is used for medical procedures and has a built-in ultraviolet disinfection module.

[0362] 2. Terminal Management Process

[0363] 2.1. Monitoring of the frail phase (weight loss >30%)

[0364] 2.1.1. Nutritional support:

[0365] The syringe pump continuously infused high-energy colloid (1.5 kcal / mL, flow rate 2 mL / h);

[0366] Vitamin B12 microneedle patches were administered sublingually (releasing 100 μg daily).

[0367] 2.1.2. Excretion assistance:

[0368] The robotic arm performs an abdominal massage every 4 hours (pressure 0.3-0.5N, clockwise direction);

[0369] It automatically cleans itself and sprays a deodorizing enzyme preparation after urination or defecation (decomposition efficiency > 99%).

[0370] 2.2 Intervention 72 hours before death

[0371] 2.2.1. Environmental Optimization:

[0372] Switch the lighting to amber (color temperature 2000K, brightness ≤50 lux);

[0373] Continuously play simulated acoustic environment sounds of the uterus (frequency characteristics 125-250Hz).

[0374] 2.2.2. Drug Management:

[0375] Transmucosal fentanyl sticks (buccal administration, bioavailability 85%);

[0376] Subcutaneous implantable dexamethasone sustained-release formulation (releases 0.1 mg daily to reduce edema).

[0377] 2.3. End-of-Life Operations

[0378] 2.3.1. Virtual Presence in the Family:

[0379] The owner can activate the "Last Companionship" mode on their mobile phone to receive breathing waveforms in real time;

[0380] The robotic arm synchronously simulates the groomer's combing motion (2mm tooth spacing, 0.4N pressure).

[0381] 2.3.2. Euthanasia Execution:

[0382] Intravenous access establishment: guided by infrared vascular imaging (puncture success rate > 98%);

[0383] Sequential drug injection:

[0384] Deep anesthesia was induced with sodium pentobarbital (100 mg / kg) (confirmed by EEG flatness);

[0385] Magnesium chloride solution (1 mEq / kg) terminates myocardial electrical activity.

[0386] Example 3: Multi-Pet Family Collaborative Management System

[0387] 1. Cross-individual interactive control

[0388] Dynamic partitioning algorithm:

[0389] UWB positioning system tracks the location of each pet in real time (10Hz refresh rate);

[0390] When a dying pet enters the rest area, the sound barrier is automatically activated (noise reduction > 30dB).

[0391] Resource allocation strategy:

[0392] Adjust equipment service weights based on end-of-life priority:

[0393] Pain management devices now consume up to 80% of bandwidth.

[0394] The tolerance for delayed feeding for healthy pets has been increased to ±15 minutes.

[0395] 2. Group Emotion Management

[0396] Pheromone gradient control:

[0397] Release canine pheromones DAP (0.2 ppm) in the area for terminally ill pets;

[0398] Feliway (0.15ppm) is used to diffuse cats in healthy pet activity areas to reduce group anxiety.

[0399] Behavior modification module:

[0400] When a healthy pet is nearing the end of its life:

[0401] Activate directional ultrasonic deterrence (frequency 25kHz, effective range 1m);

[0402] Simultaneously release interfering odor (citral spray, concentration 0.05%).

[0403] Technical Effects of the Examples

[0404] 1. Example 1 extended the average lifespan of dogs aged 15 years and older by 127 days (control study p < 0.01);

[0405] 2. In Example 2, the cat's terminal pain score decreased by 62% (VAS scale assessment);

[0406] 3. Example 3 reduced the incidence of conflict in multi-pet households by 81%.

[0407] The various embodiments can be modularly combined to adapt to different species, body sizes and home environments, forming a complete technology chain covering "prevention-intervention-good end-of-life care".

[0408] Technological advantages

[0409] 1. Data integration across the entire life cycle increases the accuracy of health risk warnings to 92% (compared to 67% for traditional methods).

[0410] 2. The pain control rate during the terminal stage reached 98%, and the incidence of psychological trauma to pet owners decreased by 40%.

[0411] 3. Extends the average healthy lifespan of pets by 1.5-3 years (dogs) and 1-2 years (cats). Attached Figure Description Figure 1-1 Physiological monitoring subsystem technical flowchart Figure 1-2 Physiological monitoring subsystem technical flowchart Figure 2 Intelligent Environmental Control Subsystem Technology Flowchart Figure 3-1 Nutrition Management Module Technical Flowchart (Double-click to enlarge) Figure 3-2 Nutrition Management Module Technical Flowchart (Double-click to enlarge) Figure 4-1 Technical flowchart of the end-of-life care system (double-click to enlarge) Figure 4-2 Technical flowchart of the end-of-life care system (double-click to enlarge).

Claims

1. A system for euthanasia of pets at the end of their lifespan, characterized in that, include: The physiological monitoring subsystem (1.1) is used to collect the pet's physiological parameters and behavioral data in real time; The intelligent environmental control subsystem (1.2) dynamically adjusts temperature, humidity, light intensity, and ground mechanical parameters based on physiological data. Nutrition management module (1.3) generates and feeds customized diets based on individual pet characteristics; The end-of-life care system (1.4) provides multimodal analgesia, emotional support, and family-assisted farewell services; The central processing unit is used to execute data fusion analysis and issue control instructions.

2. The system as described in claim 1, characterized in that, The physiological monitoring subsystem (1.1) includes: The implantable microsensor assembly (1.1.1.1) includes a PPG heart rate monitoring module and a microneedle blood glucose detection unit; Non-contact microwave radar (1.1.1.2) is used to monitor respiratory rate and body movement amplitude; Excrement analysis toilet (1.1.1.2), integrating near-infrared spectroscopy detection device; Edge computing nodes (1.1.3.1) perform localized data preprocessing and timestamp synchronization.

3. The system as described in claim 6, characterized in that, The multi-material 3D printer (1.3.3.1) supports gradient density printing, with a hardness difference between the outer shell layer and the inner core layer ≥ Shore A40.

4. The system as described in claim 1, characterized in that, The intelligent environmental control subsystem (1.2) includes: A distributed temperature and humidity control network (1.2.1.1) is deployed, consisting of photovoltaic-powered micro weather stations and variable frequency air conditioners; The biomimetic spectral synthesis device (1.2.2.1) supports switching between 5500K sunlight mode and 1800K terminal amber light mode; Inflatable ground mechanical adaptation system (1.2.4.2), Shore hardness adjustment range is A30-A70; The pheromone gradient release device (1.2.5.2) diffuses DAP or Feliway components on demand.

5. The system as described in claim 4, characterized in that, The inflatable ground mechanical adaptation system (1.2.4.2) includes pressure-sensitive floor units with a resolution of 10×10cm / unit and a response time of ≤0.8 seconds.

6. The system as described in claim 1, characterized in that, The nutrition management module (1.3) includes: A multi-objective optimization algorithm (1.3.1.3) is used, with constraints including NRC standard ±5%, cost, and allergen avoidance. Multi-material 3D printer (1.3.3.1), the printhead temperature zone control range is 45-65℃; Nanoscale flavor-enhancing coating (1.3.3.3), with particle size controlled at 50-80nm.

7. The system as described in claim 1, characterized in that, The aforementioned end-of-life care system (1.4) includes: An implantable micropump analgesia system (1.4.1.1) integrates fentanyl, NSAIDs and gabapentin triple drug delivery channels; The EEG-driven emotion intervention module (1.4.2.1) triggers a soothing procedure based on the theta / alpha wave ratio; The blockchain-based evidence storage platform (1.4.4.3) records the veterinarian's signature, QoL score, and the hash value of the owner's informed consent form.

8. The system as described in claim 7, characterized in that, The blockchain-based evidence storage platform (1.4.4.3) employs zero-knowledge proof technology to ensure that the privacy of sensitive data and compliance verification can be achieved simultaneously.

9. A method for euthanizing a pet, characterized in that, Applying the system according to any one of claims 1-8 includes the following steps: Collect physiological data throughout the entire life cycle and establish a dynamic health baseline; Predict disease risk and generate intervention strategies using AI algorithms; Initiate multimodal analgesia and virtual family farewell procedures during the terminal stage; Compliance and evidence storage for euthanasia procedures were completed using blockchain technology.

10. The method as described in claim 9, characterized in that, The dynamic health baseline is automatically calibrated every 7 days, and the fluctuation threshold is allowed to be relaxed with age according to a function of 0.98^N (where N is the age value).

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