CN110993105A - Pet health monitoring and management device and method - Google Patents

Pet health monitoring and management device and method Download PDF

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Publication number
CN110993105A
CN110993105A CN201911237407.5A CN201911237407A CN110993105A CN 110993105 A CN110993105 A CN 110993105A CN 201911237407 A CN201911237407 A CN 201911237407A CN 110993105 A CN110993105 A CN 110993105A
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pet
health
energy
daily
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曾涛
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Chongqing Yizhi Network Technology Co Ltd
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Chongqing Yizhi Network Technology Co Ltd
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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01KANIMAL HUSBANDRY; CARE OF BIRDS, FISHES, INSECTS; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
    • A01K29/00Other apparatus for animal husbandry
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/67ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation

Abstract

The invention relates to a pet health monitoring and managing device and method, which are used for carrying out perfect differential pet health condition monitoring and evaluation based on individual information such as pet species, weight and the like, and providing a specific exercise energy consumption algorithm, a basic resting energy algorithm required by the metabolism of a pet and a daily health index of an individual pet. On the basis that various indexes are evaluated by the system and the individual information of the pet is combined, a clear exercise suggestion, a feeding suggestion and an operation guidance are provided, and an innovative pet feeding mode for fundamentally improving the health state of the pet is established.

Description

Pet health monitoring and management device and method
Technical Field
The invention relates to the technical field of pet health management, in particular to a pet health monitoring and management device and method.
Background
With the continuous development of our society, more and more people breed pets. For example, since a child grows up and then lives separately from the old, the old raises a pet for the purpose of giving a lonely; or children like pets, so the pets are raised at home; or young people may also raise pets as needed by their personal preferences. Regardless of the reason, the presence of pets has brought about a lot of joy and happiness to people.
Pets, like humans, can present health problems. The current reality situation is that the owner can guarantee the health of pet through certain mode, for example can guarantee the amount of exercise and outdoor activities needs of dog through the mode of walking the dog, or interact with the cat through teasing toys such as cat stick to gather corresponding dog food or cat food for pet such as dog or cat and raise the pet. However, this is a crude, sensory way and often times there are situations where the owner cannot guarantee enough exercise time for the pet to accompany each day due to work or the like. When the health of the pet is in problem, the pet hospital can only be selected.
With the advent of wearable devices, some hardware for health monitoring of pets has also been proposed. The hardware is similar to wearable equipment used for a human body, for example, the monitoring of vital signs such as motion information, heartbeat and body temperature of the pet can be monitored through technologies such as a GPS positioning device, a health sensor and data wireless transmission, and the motion condition and the health condition of the pet are given for reference of an owner. In addition, some proposals have been made to create a pet movement model that incorporates the monitored data to analyze the health of the pet in conjunction with the pet's specific conditions, such as breed and feeding. However, there are still many problems with the existing solutions:
although the information such as heart rate, body temperature and the like can be monitored in real time, the information can be monitored only after the health of the pet is in a problem, and the pet is in an unhealthy state; the model regarding the health status of the pet is simple and has low accuracy, so that the practical applicability is low due to the accuracy problem.
Disclosure of Invention
In view of the above, the present invention provides a pet health status monitoring and evaluating device and a corresponding evaluating method, so as to monitor the health of a pet and evaluate the health of the pet more accurately and timely. Specifically, the pet health condition monitoring and evaluating device comprises the following technical scheme.
A pet health monitoring and assessment device, said device being adapted to be worn on a pet, said device comprising:
a communication module for communicating with an external device;
the data acquisition module is used for acquiring physiological or motion parameters of the pet;
the processing module is used for evaluating the health condition of the pet based on the physiological or motion parameters acquired by the data acquisition module;
or the processing module sends the acquired physiological or motion parameters to the cloud server or the mobile terminal through the communication module.
The device of the invention may also comprise the following technical features, alone or in combination:
the device further comprises a positioning module and/or a power module and/or a storage module.
-the communication module is capable of one or more of 2G/3G/45/5G communication or WiFi communication, bluetooth communication.
-the physiological or kinetic parameters of the pet comprise one or more of heart rate, body temperature, number of steps.
In addition, the method for monitoring and evaluating the health condition of the pet based on the pet health condition monitoring and evaluating device comprises the following steps:
step one), receiving diet information of the pet through the communication module or directly inputting the diet information of the pet on the pet health condition monitoring and evaluating device, and acquiring physiological or motion parameters of the pet through the data acquisition module;
step two), processing the diet information of the pet and the physiological or motion parameters of the pet to obtain the energy and health degree data of the pet; the processing is carried out in the pet health condition monitoring and evaluating device, or in a cloud server, or in a mobile terminal.
The device of the invention may also comprise the following technical features, alone or in combination:
before the step one, the method also comprises the step of setting basic information of the pet.
In step two, the processing module processes the diet information of the pet and the physiological or motion parameters of the pet comprises:
calculating the difference value of the daily health energy of the pet
Figure 62607DEST_PATH_IMAGE001
Figure 5155DEST_PATH_IMAGE002
Wherein the content of the first and second substances,
Figure 770985DEST_PATH_IMAGE003
the difference value of the daily healthy energy of the pet is obtained,
Figure 191602DEST_PATH_IMAGE004
for the daily intake of energy by the pet,
Figure 133014DEST_PATH_IMAGE005
the energy is consumed for the daily movement of the pet,
Figure 308780DEST_PATH_IMAGE006
metabolizing energy for the pet on a daily basis.
-in step two, the processing module processing the diet information of the pet and the physiological or motion parameters of the pet further comprises:
Figure 234011DEST_PATH_IMAGE007
and normalizing the estimation of the health degree of the pet by adopting Cauchy distribution according to a Cauchy distribution probability density function
Figure 927160DEST_PATH_IMAGE008
Obtaining the index of health degree of the pet
Figure 254236DEST_PATH_IMAGE009
Thereby obtaining the health degree index L distributed between 0 and 100.
Energy expenditure in daily pet movements
Figure 866483DEST_PATH_IMAGE005
Calculated according to the following formula:
Figure 279010DEST_PATH_IMAGE010
k, B, c and D are correction coefficients, measurement is carried out through calibration experiments according to different pets, H is the height of the pet, W is the length of the pet, S is the walking step number, and M is the continuous movement time;
or according to the following formula:
Figure 136370DEST_PATH_IMAGE011
k is a correction coefficient, measurement is carried out through a calibration experiment according to different pets, m is the weight of the pet, and dr is a position information conversion value;
basal daily metabolic energy of pets
Figure 317953DEST_PATH_IMAGE012
The specific calculation formula is as follows:
Figure 976467DEST_PATH_IMAGE013
wherein m is the weight of the pet in kilograms, d is the age of the pet in days, and the coefficients sigma, k and β are correction coefficients.
The pet health condition monitoring and evaluating device or the cloud server or the mobile terminal monitors the health state of the pet in real time according to the food intake and the exercise amount of the pet, and gives food intake suggestions and exercise amount suggestions.
The scheme provides a complete differentiated pet health condition monitoring and evaluating system based on individual information such as pet types and weights, provides a specific exercise energy consumption algorithm, a basic resting energy algorithm and health degree indexes required by metabolism of the pet, and provides a clear exercise suggestion by combining individual information of the pet, so that the health state of the pet is fundamentally improved.
Drawings
FIG. 1 is a schematic diagram of the hardware modules and communication of the pet health monitoring and assessment system of the present invention.
FIG. 2 is a flow chart of the pet health monitoring and evaluating apparatus of the present invention.
FIG. 3 is a functional diagram of a system for monitoring and evaluating health status of pets according to the present invention.
FIG. 4 is a model of the energy and health calculation of the present invention.
FIG. 5 is a graph illustrating energy expenditure per unit mass versus time, for a pet dog as an example.
FIG. 6 is a schematic diagram of bi-directional pet intake and exercise recommendation according to the present invention.
Detailed Description
The following describes embodiments of the present invention with reference to the drawings.
Referring to fig. 1, the pet health monitoring and evaluating device of the present invention mainly comprises a positioning module, a data acquisition module, a communication module, a processing module, a power module and a storage module. The positioning module is used for positioning the position of the device according to other positioning technologies such as a GPS, a Beidou positioning device or a WiFi or IP device and the like, and sending the obtained position information to the processing module; the data acquisition module is used for acquiring various parameters of the pet, such as heart rate, body temperature, step number (the step number can be obtained by a health sensor including an acceleration sensor, and can also be calculated by the positioning module according to position change) and the like, and sending the information to the processing module; the processing module is used for receiving data from the positioning module, the data acquisition module, the communication module and the storage module, processing the received data according to the model of the invention, and then sending the processed information out through the communication module, or the processing module is used as a control center, does not perform corresponding calculation, but sends various data to the cloud server or the mobile terminal, and completes corresponding calculation at the cloud server or the mobile terminal; the communication module is used for realizing communication between the device and the outside, for example, communication between the outside and a user terminal can be realized, or communication between the device and a cloud server can be realized, and the communication module can adopt cellular network mobile communication such as 2G/3G/45/5G and the like, WiFi, Bluetooth and the like; the storage module is used for storing various data, and the power supply module supplies power to various modules in the device.
The device can be combined with a fixing device to be arranged on a pet body. For example, a collar may be provided which may be configured to be worn around the neck of an animal. Of course, the device may be fixed on the legs of the pet, so long as the device can operate normally, and does not need to be worn on the neck of the pet. When the pet moves, the device works and communicates with the user terminal or the cloud server according to a model which will be described in detail below, so that the owner of the pet can know the health condition of the pet at any time.
The operation of the apparatus of the present invention is shown in figure 2. First, basic information of a pet is received. In the step, receiving information of the type, the length, the height, the weight, the age and the like of the pet input by the owner; the input can be made by the owner in the corresponding interface of the user terminal, and the information is sent to the device through the user terminal. The user terminal can be a mobile phone, a tablet, a computer and the like. This step may be performed the first time the device is used, and once the information is received, the information may be stored in the device without being re-entered at a later time.
Subsequently, diet information of the pet is received. This information can also be entered by the owner in the relevant interface of the user terminal and received by the device. The diet information may include food type, quality, and eating time to provide a basis for energy calculations. In addition, physiological and motion information of the pet is collected. The positioning module and the data acquisition module in the device are used for acquiring the position information, the heart rate, the body temperature, the exercise step number and other information of the pet.
The energy and health degree calculation can be carried out in the device, and the processing module carries out processing based on the information to obtain the related data such as the energy and health degree. As another possible solution, the calculation may be performed in a cloud server or a user terminal. If the information is processed in the cloud server or the user terminal, the device sends the relevant information to the cloud or the user terminal after receiving or acquiring the relevant information. And after the cloud server completes corresponding calculation, the calculation result is sent to the mobile terminal to inform the user.
And then, according to the related data processing result, the health degree and the real-time state of the pet are fed back. The owner can correspondingly manage the pet according to the feedback result, and the specific content is detailed below.
FIG. 3 is a functional diagram of a pet health monitoring and assessment system in accordance with a preferred embodiment of the present invention. As can be seen from the description of fig. 1 and fig. 2, in the preferred embodiment shown in fig. 3, a mobile phone is used as a mobile terminal, the application on the mobile phone is used to input daily diet information and pet information of a pet, such as height, weight, length, age, etc., the motion data of the pet is obtained by a hardware device, i.e., the pet health detection and evaluation apparatus of the present invention, and further the monitoring and evaluation method mentioned in fig. 2 is combined to generate a pet health index, a motion recommendation and a diet recommendation, which will be described in detail below, according to the information input by the mobile phone and the information obtained by the hardware device.
The above-mentioned energy and health calculations are described in detail below in conjunction with fig. 4 and 5.
Reference is first made to fig. 4. The energy calculation for the pet of the invention is based on the following formula:
Figure 204186DEST_PATH_IMAGE014
formula one
Wherein the content of the first and second substances,
Figure 770297DEST_PATH_IMAGE003
is the difference value of the daily healthy energy of the pet, which is equal to the daily energy intake of the pet
Figure 399861DEST_PATH_IMAGE015
Consuming energy with the daily movement of the pet
Figure 229277DEST_PATH_IMAGE005
And daily basal metabolic energy of pets
Figure 616396DEST_PATH_IMAGE016
The difference between them. In the above formula, the unit of each energy may be in calories or kcal.
Specifically, the daily energy intake of the pet is input by the user/owner in the user terminal or the present device. In the calculation model of the present invention, common pet food categories and their corresponding reference caloric values are stored. Therefore, the user/owner only needs to input the type and the quality of the food when inputting the food, and the food can be automatically converted into corresponding heat by the invention. The input in the present invention may be an input in a fill-in-space format or an input in a selection format. In addition, the nutritional composition of common foods may also be presented to the user/owner as shown in table 1.
TABLE 1 food and nutrient component correspondence table
Carbohydrate compound Rice products Noodles Potato species
Protein Meat product Beans and beans Egg
Vitamin preparation Vegetable product Fruit Algae (alga)
Fat Edible oil Animal fat Dessert
The table can simplify the input information of the user, and can influence the user in a subtler way, so that the user can know the nutrient components of the food, and the nutrition of the provided food is more balanced.
Energy consumption of daily movement of pets
Figure 314093DEST_PATH_IMAGE005
Calculated according to the following formula:
Figure 299629DEST_PATH_IMAGE017
formula two
K, B, c and D are correction coefficients, measurement is carried out through calibration experiments according to different pets, H is the height of the pet, W is the length of the pet, S is the walking step number, and M is the continuous movement time.
Alternatively, the pet consumes energy during daily movement
Figure 96684DEST_PATH_IMAGE005
It can also be calculated according to the following formula:
Figure 174361DEST_PATH_IMAGE018
formula three
And N is a correction coefficient, the measurement is carried out through a calibration experiment according to different pets, m is the weight of the pet, dr is a position information conversion value, the position information conversion value is integrated, and the total energy consumed by the whole track is calculated. As a preferable example, after counting and measuring the movement of a plurality of pets, it is determined that N is 0.8214 when the moving speed of the pet is less than 6km/h, and N is 1.036 when the speed is 6km/h or more.
Further, unlike the ideas of the above two methods, energy is consumed with respect to exercise
Figure 347854DEST_PATH_IMAGE005
The following formula can also be used for calculation:
Figure 155273DEST_PATH_IMAGE019
formula four
In the above formula, s is the moving distance of the pet, and the parameter is derived based on the number of steps of the pet, i.e., s =0.0006 (moving steps). Since the formula is calculated from data of a pet weighing 35kg, the data is fitted and passed
Figure 123229DEST_PATH_IMAGE020
The weight of the pet is adjusted, and w is the weight of the pet, so that the weight adjustment device can be suitable for pets with different weights.
Daily basal metabolic energy for pets
Figure 547257DEST_PATH_IMAGE016
The basal metabolic energy of the pet depends on the individual information such as age, weight, variety and the like, and the difference between different individuals is large. After analysis of various types of pet dogs, a graph of energy expenditure per unit mass versus time was obtained as shown in FIG. 5. The energy expenditure per unit mass (in calories/kg) for a particular category and age (in days) is therefore modeled in the protocol. Specifically, as an exemplary pet classification method, pets are first classified into two categories of dogs and cats, and then further subdivided according to parameters such as body types and weights. Studies have shown that for healthy pets, energy expenditure per unit mass decreases gradually with age, with a rate of decrease that decreases monotonically. This trend is shown qualitatively in fig. 5. The system does not consider pets in the age interval, since reasonable motion analysis and estimation cannot be performed on pets born for 0-30 days, the curve starts from 30 days. In the actual calculation, different energy consumption curves per unit mass need to be generated according to different types of pets so as to calculate the real basic metabolic consumption, namely the resting energy, of a certain pet. The specific calculation formula is as follows:
Figure 993282DEST_PATH_IMAGE021
formula five
For the pet basal metabolic expenditure, i.e. resting energy, considered in the present solution, a fitting formula is established as above, wherein m is the weight of the pet (in kg) and is positively correlated with resting energy, and the age of the pet d (in day) is negatively correlated with resting energy.
By combining the above contents, the daily health energy difference value of the pet can be obtained
Figure 920786DEST_PATH_IMAGE003
. Since the calculation of resting energy in the present calculation method has taken into account, for example, differences in energy requirements of different species of pets or of the same pet in different life cycles, such as the energy requirement per kg body weight of the pet in the juvenile period being higher than in the mature period on average. Thus, for the above formula, the ideal result is that the daily residual energy is about 0, i.e., at input-output equilibrium.
As still another important aspect of the present invention, the following is continuously proposed.
Due to the fact that
Figure 59644DEST_PATH_IMAGE003
Is positively correlated with pet body weight and is therefore not suitable as a measure of pet health. For example, if only one pet of different weight is given, it is not 0
Figure 472433DEST_PATH_IMAGE003
Then it is difficult for the user to know whether the value is within the acceptable range and the acceptable range for different pets is different. Thus the invention introduces
Figure 722148DEST_PATH_IMAGE022
The measure value is used for eliminating the influence of individual characteristics including species, weight, life cycle and the like on the energy difference value, and is calculated as follows:
Figure 300897DEST_PATH_IMAGE023
formula six
Further, due to
Figure 610656DEST_PATH_IMAGE022
Since the possible range of the system itself is between (— infinity, + ∞), the system uses the Cauchy distribution to normalize the estimate of the health of the pet by a Cauchy distribution probability density function
Figure 884642DEST_PATH_IMAGE008
Obtaining the index of health degree of the pet
Figure 938049DEST_PATH_IMAGE009
Thereby obtaining the health degree index distributed between 0 and 100; where s and t are two parameters of the Cauchy distribution, which can be calculated
Figure 371304DEST_PATH_IMAGE022
Is determined. When the daily intake of the pet is consistent with the whole consumption, the score is 100, and the time is
Figure 851964DEST_PATH_IMAGE022
= 0; when the pet has overeat every day and the amount of exercise is insufficient, or the energy intake is far less than the total energy consumption amount, the pet can drink the food too much
Figure 472302DEST_PATH_IMAGE022
Is large, the health score will approach 0. This fitness index is therefore consistent with well-known scoring systems, and can provide intuitive results for the owner or user. In addition, when L is smaller than a certain value, the system can feed back the information and the related suggestions to the user or the owner through a mobile terminal such as a mobile phone application, so that the user or the owner can know the health condition of the pet in time and take measures to adjust the living habits of the pet in time.
Further, the present invention proposes the following as a preventive measure.
The daily healthy exercise amount of the pet is calculated according to the following formula, thereby previously determining the target:
Figure 329399DEST_PATH_IMAGE024
formula seven
Wherein S is the exercise step number of the daily health of the pet, the coefficients tau and mu are related to the type of the pet, and m is the weight of the pet. For a given pet, as long as the user enters his weight and category into the system, the system pushes his healthy amount of exercise to the user and alerts him to the completion every day.
Further, fig. 6 illustrates an aspect of the present invention for prophylactically improving the health status of a pet. As can be seen from fig. 6, the present invention integrates the exercise status and food intake status of the pet in real time, not only counts the health status of the pet, but actively intervenes in daily life. For example, when the motion state of the pet is changed, the energy surplus is recalculated according to the current motion state and the daily static energy consumption estimated by the system, and the intake is recommended according to the energy surplus. In addition, after the latest pet intake is recorded by the breeder, a new healthy exercise amount S is recommended in turn according to the intake energy, the exercise and the static energy. Through mutual feedback of the intake-recommended exercise amount, the scheme is improved from post statistics to real-time participation and improvement in advance.
As can be seen from the above, for the device of the present invention, the user or the owner can input various parameters of the pet, such as the type, the length, the height, the weight, the age and the type and the quality of food taken each time through a user terminal such as a mobile phone, etc., the method of the present invention calculates the energy taken each time and each day by the pet, and completes the calculation of the energy consumed by the animal in motion and the energy consumed by the animal in rest by combining the data of the GPS position, the heartbeat, the number of steps in motion, etc. of the pet recorded and fed back in real time. According to the information, the monitoring of the health condition of the pet and the related health degree scoring can be completed. In addition, the ideal daily exercise amount is calculated by combining the pet basic information, and all data are transmitted to the user or the owner, so that the health of the pet can be monitored and managed in real time.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention in any way. Those skilled in the art can make numerous possible variations and modifications to the described embodiments, or modify equivalent embodiments, without departing from the scope of the invention. Therefore, any modification, equivalent change and modification made to the above embodiments according to the technology of the present invention are within the protection scope of the present invention, unless the content of the technical solution of the present invention is departed from.

Claims (10)

1. A pet health monitoring and assessment device, said device being adapted to be worn on a pet, said device comprising:
a communication module for communicating with an external device;
the data acquisition module is used for acquiring physiological or motion parameters of the pet; and
the processing module is used for evaluating the health condition of the pet based on the physiological or motion parameters acquired by the data acquisition module; or the processing module sends the acquired physiological or motion parameters to the cloud server or the mobile terminal through the communication module.
2. The pet health monitoring and assessment device according to claim 1, further comprising a location module and/or a power module and/or a storage module.
3. The pet health monitoring and assessment device of claim 1, wherein said communication module is capable of one or more of 2G/3G/45/5G communication or WiFi communication, bluetooth communication.
4. The pet health monitoring and assessment device according to any of claims 1-3, wherein said physiological or motor parameters of the pet comprise one or more of heart rate, body temperature, number of steps.
5. A method for monitoring and evaluating the health status of a pet based on the pet health monitoring and evaluating device of any one of claims 1 to 4, wherein the method comprises:
step one), receiving diet information of the pet through the communication module or directly inputting the diet information of the pet on the pet health condition monitoring and evaluating device, and acquiring physiological or motion parameters of the pet through the data acquisition module;
step two), processing the diet information of the pet and the physiological or motion parameters of the pet to obtain the energy and health degree data of the pet; the processing is carried out in the pet health condition monitoring and evaluating device, or in a cloud server, or in a mobile terminal.
6. The method of claim 5, further comprising the step of setting basic information of the pet before the step one.
7. The method of claim 6, wherein in step two, the processing module processes the diet information of the pet and the physiological or motion parameters of the pet comprises:
calculating the difference value of the daily health energy of the pet
Figure 470204DEST_PATH_IMAGE001
Figure 449661DEST_PATH_IMAGE002
Wherein the content of the first and second substances,
Figure 494977DEST_PATH_IMAGE001
the difference value of the daily healthy energy of the pet is obtained,
Figure 359028DEST_PATH_IMAGE003
for the daily intake of energy by the pet,
Figure 907821DEST_PATH_IMAGE004
the energy is consumed for the daily movement of the pet,
Figure 825224DEST_PATH_IMAGE005
metabolizing energy for the pet on a daily basis.
8. The method of claim 7, wherein in step two, the processing module processes the diet information of the pet and the physiological or motion parameters of the pet further comprises:
Figure 92257DEST_PATH_IMAGE006
and normalizing the estimation of the health degree of the pet by adopting Cauchy distribution according to a Cauchy distribution probability density function
Figure 353474DEST_PATH_IMAGE007
Obtaining the index of health degree of the pet
Figure 22353DEST_PATH_IMAGE008
Thereby obtaining the health degree index L distributed between 0 and 100.
9. The method of claim 8,
energy consumption of daily movement of pets
Figure 750137DEST_PATH_IMAGE009
Calculated according to the following formula:
Figure 238888DEST_PATH_IMAGE010
k, B, c and D are correction coefficients, measurement is carried out through calibration experiments according to different pets, H is the height of the pet, W is the length of the pet, S is the walking step number, and M is the continuous movement time;
or according to the following formula:
Figure 569375DEST_PATH_IMAGE011
wherein N is a correction coefficient, the pet weight is measured through a calibration experiment according to different pets, m is the pet weight, and dr is a position information conversion value;
or according to the following formula:
Figure 92760DEST_PATH_IMAGE012
in the above formula, s is the movement distance of the pet, and w is the weight of the pet;
basal daily metabolic energy of pets
Figure 725867DEST_PATH_IMAGE005
The specific calculation formula is as follows:
Figure 967492DEST_PATH_IMAGE013
wherein m is the weight of the pet in kilograms, d is the age of the pet in days, and the coefficients sigma, k and β are correction coefficients.
10. The method according to any one of claims 5 to 9, wherein the pet health monitoring and evaluating device or the cloud server or the mobile terminal monitors the health status of the pet in real time according to the food intake and the exercise amount of the pet, and gives food intake advice and exercise amount advice.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112751925A (en) * 2020-12-30 2021-05-04 安徽四创电子股份有限公司 Pet dog management system and method based on big data and Internet of things and intelligent equipment
CN115985502A (en) * 2023-03-16 2023-04-18 华南农业大学 Lion-head goose health decision method and device based on multivariate perception

Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1753708A (en) * 2003-05-29 2006-03-29 小祝秀明 Putter with distance measuring function
JP2008173160A (en) * 2007-01-16 2008-07-31 Tokyo Metropolitan Univ Method of analyzing fluctuation of heart rate and method of determining health state using the same
CN102547262A (en) * 2010-12-24 2012-07-04 盛乐信息技术(上海)有限公司 Video coding motion estimation method
US20120313776A1 (en) * 2011-06-10 2012-12-13 Utter Ii Max Everett General health and wellness management method and apparatus for a wellness application using data from a data-capable band
CN103027696A (en) * 2012-12-06 2013-04-10 可瑞尔科技(扬州)有限公司 Human motion energy consumption instrument
US20130186962A1 (en) * 2011-07-26 2013-07-25 Robert Kennett Pet Activity Monitor
US20160012748A1 (en) * 2014-07-08 2016-01-14 Nestec Sa Systems and methods for providing animal health, nutrition, and/or wellness recommendations
JP2016008822A (en) * 2014-06-23 2016-01-18 信明 遠藤 Body weight control device, body weight control method, and body weight control program
US20160270717A1 (en) * 2011-06-10 2016-09-22 Aliphcom Monitoring and feedback of physiological and physical characteristics using wearable devices
US20160286755A1 (en) * 2015-04-03 2016-10-06 Alnpet Smart Technology (Shanghai) Co., Ltd. Pet health and life management system and method having self-learning capability
WO2017219367A1 (en) * 2016-06-24 2017-12-28 深圳市沃特沃德股份有限公司 Pet motion management method and system
EP3264299A1 (en) * 2016-06-29 2018-01-03 Lovit Labs SAS System and method for pet monitoring
CN108207683A (en) * 2018-01-31 2018-06-29 四川思诺创意科技有限公司 A kind of pet health analysis and management system
CN109271206A (en) * 2018-08-24 2019-01-25 晶晨半导体(上海)股份有限公司 A kind of memory compression and store method that exception is live

Patent Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1753708A (en) * 2003-05-29 2006-03-29 小祝秀明 Putter with distance measuring function
JP2008173160A (en) * 2007-01-16 2008-07-31 Tokyo Metropolitan Univ Method of analyzing fluctuation of heart rate and method of determining health state using the same
CN102547262A (en) * 2010-12-24 2012-07-04 盛乐信息技术(上海)有限公司 Video coding motion estimation method
US20160270717A1 (en) * 2011-06-10 2016-09-22 Aliphcom Monitoring and feedback of physiological and physical characteristics using wearable devices
US20120313776A1 (en) * 2011-06-10 2012-12-13 Utter Ii Max Everett General health and wellness management method and apparatus for a wellness application using data from a data-capable band
US20130186962A1 (en) * 2011-07-26 2013-07-25 Robert Kennett Pet Activity Monitor
CN103027696A (en) * 2012-12-06 2013-04-10 可瑞尔科技(扬州)有限公司 Human motion energy consumption instrument
JP2016008822A (en) * 2014-06-23 2016-01-18 信明 遠藤 Body weight control device, body weight control method, and body weight control program
US20160012748A1 (en) * 2014-07-08 2016-01-14 Nestec Sa Systems and methods for providing animal health, nutrition, and/or wellness recommendations
US20160286755A1 (en) * 2015-04-03 2016-10-06 Alnpet Smart Technology (Shanghai) Co., Ltd. Pet health and life management system and method having self-learning capability
WO2017219367A1 (en) * 2016-06-24 2017-12-28 深圳市沃特沃德股份有限公司 Pet motion management method and system
EP3264299A1 (en) * 2016-06-29 2018-01-03 Lovit Labs SAS System and method for pet monitoring
CN108207683A (en) * 2018-01-31 2018-06-29 四川思诺创意科技有限公司 A kind of pet health analysis and management system
CN109271206A (en) * 2018-08-24 2019-01-25 晶晨半导体(上海)股份有限公司 A kind of memory compression and store method that exception is live

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
39健康网: ""卡路里运动!全面了解各种体育运动的卡路里消耗(含跑步的转换公式)"", 《HTTP://FITNESS.39.NET/A/161124/5055211.HTML》 *
徐中华等: "静息能量代谢在体力活动评价中的应用", 《科技信息(科学教研)》 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112751925A (en) * 2020-12-30 2021-05-04 安徽四创电子股份有限公司 Pet dog management system and method based on big data and Internet of things and intelligent equipment
CN112751925B (en) * 2020-12-30 2022-07-05 安徽四创电子股份有限公司 Pet dog management system and method based on big data and Internet of things and intelligent equipment
CN115985502A (en) * 2023-03-16 2023-04-18 华南农业大学 Lion-head goose health decision method and device based on multivariate perception
CN115985502B (en) * 2023-03-16 2023-06-13 华南农业大学 Lion head goose health decision method and device based on multi-element perception

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