A pet health intelligent monitoring system

Abstract

The present invention relates to the technical field of pet health monitoring, and particularly relates to an intelligent pet health monitoring system, including: a pet data collection module for real-time collection of pet physical sign data and pet diet data within a monitoring period, and also for collection of pet historical health data and environmental data; a historical data processing module for analyzing the growth stage of the pet and the historical health status of the pet; a real-time monitoring module for analyzing the physical sign abnormality and diet abnormality of each pet within the monitoring period; an abnormality analysis module for analyzing the abnormal state of each pet; an environmental analysis module for analyzing the environmental abnormality of the pet living area; a health status evaluation module for evaluating the health status of the pet, alarming the user according to the evaluation result, and also for generating a pet management plan for the next monitoring period. The present invention effectively improves the efficiency of pet health monitoring.

Description

Technical Field

[0001] The present invention relates to the technical field of pet health monitoring, and in particular to an intelligent pet health monitoring system. Background Art

[0002] With the improvement of living standards, more and more families are starting to keep pets, and pets have become an indispensable part of people's lives. However, due to busy work or other reasons, owners are often unable to pay attention to the health status of their pets all the time. In addition, pets themselves cannot express their physical discomfort, which brings challenges to timely discovering and dealing with pet health problems. Although there are some pet health monitoring products on the market, they generally have problems such as single function, low accuracy, and poor user experience.

[0003] Chinese patent publication number CN108874323A discloses a pet monitoring data processing method and system, which implants a health management chip in the pet, activates the health management chip monitoring function in the mobile terminal, and returns a variety of pet monitoring data to the mobile terminal. The cloud data center periodically sends a pet monitoring data collection request to the mobile terminal, and the data collection response is started. Through the improved task scheduling method and write merging, the concurrent execution of multiple pet monitoring data collection agents and the merged write method greatly improve the processing speed and transmission efficiency of the pet monitoring data, so that the pet monitoring data is no longer collected and obtained through the traditional polling method, and is no longer limited by the number of nodes. It can be seen that the invention only monitors the health of the pet by implanting a chip in the pet, and does not judge and analyze the abnormal health status caused by the pet being frightened, and there is a problem of low efficiency in pet health monitoring. Summary of the invention

[0004] The object of the present invention is to provide a pet health intelligent monitoring system to solve at least one of the problems existing in the prior art.

[0005] To achieve the above object, the present invention adopts the following technical solutions:

[0006] The pet data collection module is used to collect pet vital sign data and pet diet data during the monitoring period in real time, and is also used to collect pet historical health data and environmental data;

[0007] A historical data processing module is used to analyze the growth stage and historical health status of the pet based on the pet's historical health data;

[0008] A real-time monitoring module is used to analyze the abnormal physical signs and dietary abnormalities of each pet during the monitoring period based on the pet's physical sign data and the pet's growth stage analysis results;

[0009] Anomaly analysis module, used to analyze the abnormal states of each pet according to the analysis results of the physical sign anomalies and diet anomalies of each pet within the monitoring period;

[0010] Environment analysis module, used to analyze the environmental anomalies in the pet living area according to the environmental data;

[0011] Health status assessment module, used to assess the health status of the pet according to the analysis results of environmental anomalies, the analysis results of the abnormal states of each pet within the monitoring period, and the analysis results of historical health status, and alarm the user according to the assessment results. The health status assessment module is also used to generate a pet management plan for the next monitoring period.

[0012] Furthermore, the historical data processing module includes a stage analysis unit, which analyzes the growth stages of each pet according to the historical health data. The growth stages of each pet include the juvenile stage, the adult stage, and the elderly stage.

[0013] Furthermore, the historical data processing module also includes a historical status analysis unit, which is used to analyze the historical health status of each pet according to the historical health data;

[0014] The historical status analysis unit calculates the historical status index α(i) of each pet, and compares the historical status index α(i) of each pet with each preset historical status index to determine the historical health status of each pet. The historical health status of each pet includes the historical stable health status, the historical sensitive health status, and the historical sensitive sub-healthy status.

[0015] Furthermore, the real-time monitoring module includes a physical sign anomaly analysis unit, which is used to analyze the physical sign anomalies of each pet according to the physical sign data of the pet;

[0016] The physical sign anomaly analysis unit calculates the real-time physical sign index γ(i) of each pet, and compares the real-time physical sign index γ(i) of each pet with each preset physical sign index to determine the physical sign anomalies of each pet within the monitoring period. The physical sign anomalies of each pet within the monitoring period include normal physical signs and abnormal physical signs.

[0017] Furthermore, the real-time monitoring module also includes a diet anomaly analysis unit, which is used to compare the diet amount of each pet within the monitoring period with the preset diet amount Pj to determine the diet anomalies of each pet. The diet anomalies of each pet include normal diet and abnormal diet.

[0018] Furthermore, the real-time monitoring module is also provided with a history adjustment unit, which adjusts the analysis process of dietary abnormalities of each pet according to the historical health status analysis results of each pet: if the historical health status of the pet is a historical sensitive sub-health state, the history adjustment unit adjusts the preset diet amount Pj to Pj1; if the historical health status of the pet is a historical sensitive health state, the history adjustment unit adjusts the preset diet amount Pj to Pj2; if the historical health status of the pet is a sensitive sub-health state, the history adjustment unit does not adjust the preset diet amount Pj.

[0019] Furthermore, the abnormality analysis module is used to analyze the abnormal state of each pet according to the analysis results of the abnormal physical signs and abnormal diet of each pet during the monitoring period: if t(i) / T<Y and the diet of the pet is normal during the monitoring period, the abnormality analysis module determines that the pet is normal during the monitoring period; if t(i) / T<Y and the diet of the pet is abnormal during the monitoring period, the abnormality analysis module determines that the abnormal state of the pet during the monitoring period is emotional abnormality; if t(i) / T≥Y and the diet of the pet is normal during the monitoring period, the abnormality analysis module determines that the abnormal state of the pet during the monitoring period is health abnormality; if t(i) / T≥Y and the diet of the pet during the monitoring period is abnormal, the abnormality analysis module determines that the abnormal state of the pet during the monitoring period is comprehensive state abnormality;

[0020] Among them, Y is the preset abnormal sign ratio, t(i) is the duration of abnormal physical signs of the i-th pet during the monitoring period, and T is the duration of the monitoring period.

[0021] Furthermore, the environmental analysis module is used to calculate the pet density ρ of the pet living area, and compare the calculated result with the preset pet density H to determine the environmental abnormality of the pet living area, and the environmental abnormality of the pet living area includes normal and abnormal.

[0022] Furthermore, the health status assessment module includes a health status assessment unit, which is used to assess the health status of the pet and alert the user based on the assessment result. The assessment result of the pet's health status includes health, abnormal fright, abnormal physical signs and superimposed abnormalities, and the user is alerted when the assessment result of the pet's health status is abnormal fright, abnormal physical signs or superimposed abnormalities.

[0023] Further, the health status assessment module includes a health management unit, and the health management unit manages the pet according to the health status assessment result of the pet;

[0024] The health management unit calculates the fright ratio μ, and compares the fright ratio μ with a preset ratio V, and when the fright ratio μ exceeds the preset ratio V, adjusts the activity area of ​​the pet to S'.

[0025] Compared with the prior art, the beneficial effects of the present invention are that the information required by the system is collected by the pet data collection module, thereby improving the accuracy of data collection; the historical data processing module analyzes the pet's historical health data, thereby improving the accuracy of the analysis of the pet's growth stage and the pet's historical health status; the real-time monitoring module analyzes the abnormal physical signs and dietary abnormalities of each pet, thereby improving the accuracy of the analysis of the abnormal physical signs and dietary abnormalities of each pet; the abnormal state of each pet is analyzed by the abnormal analysis module, thereby improving the accuracy of the analysis of the abnormal state of the pet; the environmental abnormalities of the pet's living area are analyzed by the environmental analysis module, thereby improving the accuracy of the analysis of the environmental abnormalities; the health status of the pet is evaluated by the health status evaluation module, and an alarm is given to the user based on the evaluation result, thereby improving the efficiency of pet health monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0027] Figure 1 Schematic diagram of the structure of the intelligent pet health monitoring system of this embodiment.

[0028] Figure 2 Schematic diagram of the structure of the historical data processing module of this embodiment.

[0029] Figure 3 Schematic diagram of the structure of the real-time monitoring module of this embodiment.

[0030] Figure 4 Schematic diagram of the structure of the health status assessment module of this embodiment. DETAILED DESCRIPTION

[0031] In order to more clearly illustrate the present invention, the present invention is further described below in conjunction with preferred embodiments and accompanying drawings. Similar components in the accompanying drawings are represented by the same reference numerals. It should be understood by those skilled in the art that the content specifically described below is illustrative rather than restrictive, and should not be used to limit the scope of protection of the present invention.

[0032] It should be noted that although terms such as first, second, and third may be used in the embodiments of this application for description, these descriptions should not be limited to these terms. These terms are only used to distinguish the descriptions. For example, without departing from the scope of the embodiments of this application, the first may also be referred to as the second, and similarly, the second may also be referred to as the first.

[0033] Specifically, a pet health intelligent monitoring system described in this embodiment is applied to the pet health monitoring in a multi-pet venue; the multi-pet venue described in this embodiment is specifically a multi-pet contactable venue, which can be a pet paradise, a pet adoption venue, a pet market, etc.; the multi-pet venue in this embodiment manages the same type of pets centrally, and the type of pets in this embodiment is specifically canine pets;

[0034] Please refer to Figure 1 As shown, the pet health intelligent monitoring system includes a pet data collection module, which is used to collect pet physical sign data and pet diet data within a monitoring period in real time, and is also used to collect pet historical health data and environmental data.

[0035] Specifically, the pet physical sign data includes the heart rate of each pet; the pet diet data includes the diet amount of each pet; the pet historical health data includes the weight of the pet, the age of the pet, the historical heart rate of the pet, the historical weight of the pet, the historical body length of the pet; the environmental data includes the activity area of the pet in the pet living area; this embodiment does not specifically limit the acquisition method of pet physical sign data, and those skilled in the art can set it freely as long as the acquisition requirements of pet physical sign data are met. For example, it can be obtained through the sensor of the pet-worn device, and the acquisition methods of pet diet data, pet historical health data, and environmental data are obtained through user interaction input; this embodiment does not specifically limit the value of the monitoring period, and those skilled in the art can set it freely as long as the value requirements of the monitoring period are met. For example, the monitoring period can be set to 6 hours.

[0036] Please continue to refer to Figure 1 As shown, the pet health intelligent monitoring system further includes a historical data processing module. The historical data processing module is connected to the pet data collection module, and the historical data processing module is used to analyze the growth stage and historical health status of the pet according to the pet historical health data.

[0037] Please refer to Figure 2 As shown, the historical data processing module includes a stage analysis unit. The stage analysis unit analyzes the growth stage of each pet according to the historical health data to accurately determine the growth stage of each pet;

[0038] The analysis process of the growth stage of each pet is as follows:

[0039] If a1×n(i) / N(i)+a2×w(i) / W(i)<A1, the stage analysis unit determines that the growth stage of the pet is the juvenile stage; if A1≤a1×n(i) / N(i)+a2×w(i) / W(i)<A2, the stage analysis unit determines that the growth stage of the pet is the adult stage; if a1×n(i) / N(i)+a2×w(i) / W(i)≥A2, the stage analysis unit determines that the growth stage of the pet is the old age stage; wherein a1 is the age of the growth stage. weight, a2 is the weight weight of the growth stage, a1+a2=1, n(i) is the age of the ith pet, w(i) is the weight of the ith pet, N(i) is the average age of the type to which the ith pet belongs, W(i) is the average adult weight of the type to which the ith pet belongs, A1 is the preset adult stage index, and A2 is the preset old age stage index; the growth stage is analyzed by the stage analysis unit to provide a suitable threshold for subsequent real-time monitoring, thereby improving the accuracy of the analysis of physical signs abnormalities and dietary abnormalities of each pet.

[0040] Specifically, this embodiment does not impose any specific limitation on the values ​​of the preset adult stage index A1 and the preset old age stage index A2. Those skilled in the art can set them freely as long as the value requirements of the preset adult stage index A1 and the preset old age stage index A2 are met. For example, the preset adult stage index A1 can be set to 0.3, and the preset old age stage index A2 can be set to 1.

[0041] Please continue reading Figure 2 As shown, the historical data processing module further includes a historical state analysis unit, which is connected to the stage analysis unit, and is used to analyze the historical health state of each pet according to the historical health data, so as to judge the physical state of each pet and whether it is easily frightened;

[0042] The historical state analysis unit calculates the historical state index α(i) of each pet and sets α(i)=σ / E;

[0043] Where σ is the variance of the historical physical sign index, E is the mean of the historical physical sign index, and E=[Lγ(i,1)+Lγ(i,2)+...+Lγ(i,C)] / C,σ={{[Lγ(i,1)-E] 2 +[Lγ(i,2)-E] 2 +...+[Lγ(i,C)-E] 2} / C} 1 / 2; Lγ(i, 1) is the historical first physical sign index of the i-th pet, Lγ(i, 2) is the historical second physical sign index of the i-th pet, Lγ(i, C) is the historical C-th physical sign index of the i-th pet, and C is the number of historical health data obtained; it is set that Lγ(i, 1) = [r(i, 1) - R] / R × Lw(i, 1) / Ls(i, 1), where r(i, 1) is the historical first heart rate of the i-th pet, R is the normal value of the pet's heart rate, Lw(i, 1) is the historical first weight of the i-th pet, and Ls(i, 1) is the historical first body length of the i-th pet;

[0044] It can be understood that the calculation process of Lγ(i, 2)... Lγ(i, C) in this embodiment is the same as that of Lw(i, 1), and this embodiment will not elaborate;

[0045] The historical status analysis unit compares the historical status index α(i) of each pet with each preset historical status index, and analyzes the historical health status of the pet according to the comparison result: if α(i) < B1, the historical status analysis unit determines that the historical health status of the pet is a historically stable and healthy state; if B1 ≤ α(i) < B2, the historical status analysis unit determines that the historical health status of the pet is a historically sensitive and healthy state; if α(i) ≥ B2, the historical status analysis unit determines that the historical health status of the pet is a historically sensitive and sub-healthy state; where B1 is the first preset health index and B2 is the second preset health index, and B1 < B2; by analyzing the historical health status of each pet through the historical status analysis unit, the accuracy of the analysis of the physical sign abnormality and diet abnormality of each pet is improved, thereby improving the accuracy of the pet's health status assessment, and ultimately improving the efficiency of pet health monitoring.

[0046] Specifically, this embodiment does not specifically limit the values of the first preset health index B1 and the second preset health index B2, and those skilled in the art can freely set them as long as the value requirements of the first preset health index B1 and the second preset health index B2 are met. For example, the first preset health index B1 can be set to 0.15, and the second preset health index B2 can be set to 0.3; at the same time, the normal value R of the pet's heart rate in this embodiment is the normal heart rate value of adult pets. This embodiment does not specifically limit the acquisition method of the normal value R of the pet's heart rate, and those skilled in the art can freely set it as long as the acquisition requirements of the normal value R of the pet's heart rate are met. In this embodiment, it is obtained through the pet standard physical sign information data website.

[0047] Please continue to refer to Figure 1As shown, the pet health intelligent monitoring system further includes a real-time monitoring module, which is connected to the pet data collection module and the historical data processing module. The real-time monitoring module is used to analyze the physical sign abnormality and diet abnormality of each pet during the monitoring period according to the pet physical sign data and the analysis result of the pet growth stage.

[0048] Please refer to Figure 3 As shown, the real-time monitoring module includes a physical sign abnormality analysis unit, which is used to analyze the physical sign abnormality of each pet according to the pet physical sign data to determine the physical sign data of each pet in real time;

[0049] The physical sign abnormality analysis unit calculates the real-time physical sign index γ(i) of each pet, compares the real-time physical sign index γ(i) of each pet with each preset physical sign index Gj, and analyzes the physical sign abnormality of each pet according to the comparison result and the growth stage of each pet: if γ(i) < Gj, the physical sign abnormality analysis unit determines that the physical sign of the pet is normal; if γ(i) ≥ Gj, the physical sign abnormality analysis unit determines that the physical sign of the pet is abnormal and issues an emergency alarm to the user;

[0050] Where j = 1, 2, 3. If the growth stage is the juvenile stage, the physical sign abnormality analysis unit sets the preset physical sign index of the juvenile stage as G1; if the growth stage is the adult stage, the physical sign abnormality analysis unit sets the preset physical sign index of the adult stage as G2; if the growth stage is the elderly stage, the physical sign abnormality analysis unit sets the preset physical sign index of the elderly stage as G3;

[0051] It can be understood that the calculation process of the real-time physical sign index γ(i) in this embodiment is the same as the calculation process of Lw(i, 1) above, and this embodiment will not elaborate.

[0052] Specifically, this embodiment does not specifically limit the value of the preset physical sign index Gj of each growth stage. Those skilled in the art can freely set it as long as it meets the value requirements of the preset physical sign index Gj of each growth stage. For example, the preset physical sign index G1 of the juvenile stage can be set to 2, the preset physical sign index G2 of the adult stage can be set to 5, and the preset physical sign index G3 of the elderly stage can be set to 8.

[0053] Please continue to refer to Figure 3As shown, the real-time monitoring module further includes a diet abnormality analysis unit, which is connected to the physical sign abnormality analysis unit. The diet abnormality analysis unit is used to analyze the diet abnormality of each pet based on the pet diet data and the analysis results of the growth stages of each pet within the monitoring period: if p(i) < Pj, the diet abnormality analysis unit determines that the diet of this pet is abnormal within the monitoring period; if p(i) ≥ Pj, the diet abnormality analysis unit determines that the diet of this pet is normal within the monitoring period;

[0054] Among them, p(i) is the diet amount of the i-th pet within the monitoring period, and Pj is the preset diet amount, where j = 1, 2, 3. If the growth stage is the juvenile stage, the physical sign abnormality analysis unit sets the preset diet amount for the juvenile stage as P1; if the growth stage is the adult stage, the physical sign abnormality analysis unit sets the preset diet amount for the adult stage as P2; if the growth stage is the elderly stage, the physical sign abnormality analysis unit sets the preset diet amount for the elderly stage as P3; By analyzing the diet abnormality of the pet through the diet abnormality analysis unit, the accuracy of the pet health status assessment is improved, and ultimately the efficiency of pet health monitoring is improved.

[0055] Specifically, in this embodiment, the acquisition method of the preset diet amount Pj is not specifically limited, and those skilled in the art can freely set it as long as the acquisition requirements of the preset diet amount Pj are met. For example, the standard diet amounts of different growth stages of each pet species can be used as the preset diet amount Pj.

[0056] Please continue to refer to Figure 3 As shown, the real-time monitoring module further includes a historical adjustment unit, which is connected to the diet abnormality analysis unit. The historical adjustment unit adjusts the analysis process of the diet abnormality of each pet according to the historical health status analysis results of each pet: if the historical health status of this pet is the historical sensitive sub-healthy state, the historical adjustment unit adjusts the preset diet amount Pj to Pj1, and sets Pj1 = Pj × {1 - [α(i) - B2] / B2}; if the historical health status of this pet is the historical sensitive healthy state, the historical adjustment unit adjusts the preset diet amount Pj to Pj2, and sets Pj2 = Pj × ln{e - [α(i) - B2] / B2}; if the historical health status of this pet is the sensitive sub-healthy state, the historical adjustment unit does not adjust the preset diet amount Pj; By analyzing the diet abnormality of each pet through the diet abnormality analysis unit, the accuracy of the pet health status assessment is improved, and ultimately the efficiency of pet health monitoring is improved;

[0057] Among them, e is the natural logarithm.

[0058] Please continue to refer to Figure 1As shown in the figure, the pet health intelligent monitoring system further includes an abnormal analysis module, which is connected to the real-time monitoring module. The abnormal analysis module is used to analyze the abnormal states of each pet according to the analysis results of the physical sign abnormality and diet abnormality of each pet within the monitoring period, so as to determine whether the abnormal state of each pet is a physical health problem or an emotional health problem;

[0059] The analysis process of the abnormal state of the pet is as follows:

[0060] If t(i) / T < Y and the diet of the pet is normal within the monitoring period, the abnormal analysis module determines that the pet is normal within the monitoring period; if t(i) / T < Y and the diet of the pet is abnormal within the monitoring period, the abnormal analysis module determines that the abnormal state of the pet within the monitoring period is emotional abnormality; if t(i) / T ≥ Y and the diet of the pet is normal within the monitoring period, the abnormal analysis module determines that the abnormal state of the pet within the monitoring period is health abnormality; if t(i) / T ≥ Y and the diet of the pet is abnormal within the monitoring period, the abnormal analysis module determines that the abnormal state of the pet within the monitoring period is comprehensive state abnormality;

[0061] Wherein, Y is a preset physical sign abnormal ratio, t(i) is the duration of the physical sign abnormality of the i-th pet within the monitoring period, and T is the duration of the monitoring period; by analyzing the abnormal state of the pet through the abnormal analysis module, the accuracy of the pet health state assessment is improved, and finally the efficiency of the pet health monitoring is improved.

[0062] Specifically, in this embodiment, the value of the preset physical sign abnormal ratio Y is not specifically limited, and those skilled in the art can freely set it as long as it meets the value requirements of the preset physical sign abnormal ratio Y. For example, the preset physical sign abnormal ratio Y can be set to 0.1.

[0063] Please continue to refer to Figure 1 As shown in the figure, the pet health intelligent monitoring system further includes an environment analysis module, which is connected to the abnormal analysis module. The environment analysis module is used to analyze the environmental abnormality of the pet living area according to the environmental data;

[0064] The analysis process of the environmental abnormality of the pet living area is as follows: if ρ < H, the environment analysis module determines that the environment of the pet living area is abnormal; if ρ ≥ H, the environment analysis module determines that the environment of the pet living area is normal;

[0065] Among them, ρ is the pet density in the pet living area, and ρ=TD / S is set, TD is the total number of pets, S is the activity area of ​​pets in the pet living area, and H is the preset pet density; the environmental abnormalities of the pet living area are analyzed by the environmental analysis module, which improves the accuracy of the pet's health status assessment and ultimately improves the efficiency of pet health monitoring.

[0066] Please continue reading Figure 1 As shown, the pet health intelligent monitoring system also includes a health status assessment module, which is connected to the abnormality analysis module, the environmental analysis module and the historical data processing module. The health status assessment module is used to assess the health status of the pet based on the environmental abnormality analysis results, the pet abnormal status analysis results and the historical health status analysis results, and to alert the user based on the assessment results. The health status assessment module is also used to generate a pet management plan for the next monitoring cycle, and output the pet management plan for the next monitoring cycle to the user.

[0067] See also Figure 4 As shown, the health status assessment module includes a health status assessment unit, which is used to perform real-time assessment on the health status of the pet and to issue an alarm to the user according to the assessment result: if the abnormal state of the pet is abnormal emotion and the environmental abnormality is normal, the health status assessment unit determines that the health status of the pet is healthy, and does not issue an alarm to the user; if the abnormal state of the pet is abnormal emotion and the environmental abnormality is abnormal, the health status assessment unit determines that the health status of the pet is frightened abnormal, and sends a pet frightened alarm to the user; if the abnormal state of the pet is abnormal health and the environmental abnormality is normal, the health status assessment unit determines that the health status of the pet is abnormal physical signs, and issues a health alarm to the user; if the abnormal state of the pet is abnormal health and the environmental abnormality is abnormal, at this time, if the historical health status of the pet is a historical sensitive sub-health state or a historical sensitive health state, If the pet's health status is abnormal, the health status assessment unit determines that the pet's health status is abnormal due to fright, and sends a pet fright alarm to the user; if the pet's historical health status is a historical stable health status, the health status assessment unit determines that the pet's health status is abnormal physical signs, and sends a health alarm to the user; if the pet's abnormal status is a comprehensive abnormal status and the environmental abnormality is normal, the health status assessment unit determines that the pet's health status is abnormal physical signs, and sends a health alarm to the user; if the pet's abnormal status is a comprehensive abnormal status and the environmental abnormality is abnormal, the health status assessment unit determines that the pet's health status is a superimposed abnormality, and sends a health alarm and a fright alarm to the user; the health status of the pet is evaluated in real time by the health status assessment unit, and the user is alarmed according to the evaluation result, which improves the accuracy of the pet's health assessment and thereby improves the efficiency of pet health monitoring.

[0068] See also Figure 4 As shown, the health status assessment module includes a health management unit, which is connected to the health status assessment module, and the health management unit manages the pet according to the health status assessment result of the pet;

[0069] The health management unit statistically evaluates the health status of pets during the monitoring period as the number of pets with abnormal fright and superimposed abnormalities f, and calculates the fright ratio μ, setting μ=f / TD, where TD is the total number of pets;

[0070] The health management unit compares the fright ratio μ with the preset ratio V, and manages the pet according to the comparison result: if μ<V, the health management unit does not change; if μ≥V, the health management unit adjusts the pet's activity area to S', and sends S' to the user, setting S'=S×[1+(μ-V) / V]; the next monitoring cycle is managed by the health management unit, thereby improving the efficiency of pet health monitoring.

[0071] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

Claims

1. A pet health intelligent monitoring system, characterized in that: include: The pet data collection module is used to collect pet vital sign data and pet diet data during the monitoring period in real time, and is also used to collect pet historical health data and environmental data; A historical data processing module is used to analyze the growth stage and historical health status of the pet based on the pet's historical health data; A real-time monitoring module is used to analyze the abnormal physical signs and dietary abnormalities of each pet during the monitoring period based on the pet's physical sign data and the pet's growth stage analysis results; The abnormality analysis module is used to analyze the abnormal state of each pet according to the abnormal physical signs and abnormal diet analysis results of each pet during the monitoring period; An environmental analysis module is used to analyze environmental abnormalities in the pet's living area based on environmental data; The health status assessment module is used to assess the health status of the pet based on the results of the environmental abnormality analysis, the abnormal status analysis results of each pet during the monitoring period, and the historical health status analysis results, and to alert the user based on the assessment results. The health status assessment module is also used to generate a pet management plan for the next monitoring period. The environmental analysis module is used to calculate the pet density ρ of the pet living area, and compare the calculated result with the preset pet density H to determine the environmental abnormality of the pet living area, and the environmental abnormality of the pet living area includes normal and abnormal; If ρ<H, the environmental analysis module determines that the environment of the pet's living area is abnormal; if ρ≥H, the environmental analysis module determines that the environment of the pet's living area is normal; Where ρ is the pet density in the pet living area, set ρ=TD / S, TD is the total number of pets, S is the activity area of ​​pets in the pet living area; The health status assessment module includes a health status assessment unit, which is used to assess the health status of the pet and alert the user according to the assessment result. The assessment result of the health status of the pet includes health, abnormal fright, abnormal physical signs and superimposed abnormality, and the user is alerted when the assessment result of the health status of the pet is abnormal fright, abnormal physical signs or superimposed abnormality; The health status assessment module includes a health management unit, which manages the pet according to the health status assessment result of the pet; The health management unit calculates the fright ratio μ, and compares the fright ratio μ with a preset ratio V, and when the fright ratio μ exceeds the preset ratio V, adjusts the activity area of ​​the pet to S', setting S'=S×[1+(μ-V) / V].

2. The pet health intelligent monitoring system according to claim 1, characterized in that: The historical data processing module includes a stage analysis unit, which analyzes the growth stage of each pet according to the historical health data, and the growth stage of each pet includes a juvenile stage, an adult stage and an old age stage; If a1×n(i) / N(i)+a2×w(i) / W(i)<A1, the stage analysis unit determines that the growth stage of the pet is the juvenile stage; if A1≤a1×n(i) / N(i)+a2×w(i) / W(i)<A2, the stage analysis unit determines that the growth stage of the pet is the adult stage; if a1×n(i) / N(i)+a2×w(i) / W(i)≥A2, the stage analysis unit determines that the growth stage of the pet is the elderly stage; wherein a1 is the age weight of the growth stage, a2 is the weight weight of the growth stage, a1+a2=1, n(i) is the age of the i-th pet, w(i) is the weight of the i-th pet, N(i) is the average age of the type to which the i-th pet belongs, W(i) is the average weight of adults of the type to which the i-th pet belongs, A1 is a preset adult stage index, and A2 is a preset elderly stage index.

3. The pet health intelligent monitoring system according to claim 2, characterized in that: The historical data processing module also includes a historical status analysis unit, which is used to analyze the historical health status of each pet according to the historical health data; The historical state analysis unit calculates the historical state index α(i) of each pet and sets α(i)=σ / E; Where σ is the variance of the historical physical sign index, E is the mean of the historical physical sign index, and E=[Lγ(i,1)+Lγ(i,2)+...+Lγ(i,C)] / C,σ={{[Lγ(i,1)-E] 2 +[Lγ(i,2)-E] 2 +...+[Lγ(i,C)-E] 2 } / C} 1 / 2 ;Lγ(i,1) is the first historical physical sign index of the i-th pet, Lγ(i,2) is the second historical physical sign index of the i-th pet, Lγ(i,C) is the C-th historical physical sign index of the i-th pet, and C is the number of historical health data obtained; set Lγ(i,1)=[r(i,1)-R] / R×Lw(i,1) / Ls(i,1), r(i,1) is the first historical heart rate of the i-th pet, R is the normal value of the pet's heart rate, Lw(i,1) is the first historical weight of the i-th pet, and Ls(i,1) is the first historical body length of the i-th pet; The historical status analysis unit compares each pet's historical status index α(i) with each preset historical status index to determine each pet's historical health status, which includes a historical stable health status, a historical sensitive health status, and a historical sensitive sub-health status.

4. The pet health intelligent monitoring system according to claim 3, characterized in that: The real-time monitoring module includes a physical sign abnormality analysis unit, which is used to analyze the physical sign abnormality of each pet according to the pet physical sign data; The abnormal physical sign analysis unit calculates the real-time physical sign index γ(i) of each pet, and compares the real-time physical sign index γ(i) of each pet with each preset physical sign index to determine the abnormal physical sign of each pet during the monitoring period. The abnormal physical sign of each pet during the monitoring period includes normal physical signs and abnormal physical signs.

5. The pet health intelligent monitoring system according to claim 4, characterized in that: The real-time monitoring module also includes a dietary abnormality analysis unit, which is used to compare the dietary amount of each pet during the monitoring period with the preset dietary amount Pj to determine the dietary abnormality of each pet, and the dietary abnormality of each pet includes normal diet and abnormal diet.

6. The pet health intelligent monitoring system according to claim 5, characterized in that: The real-time monitoring module is also provided with a history adjustment unit, which adjusts the analysis process of the dietary abnormalities of each pet according to the historical health status analysis results of each pet: if the historical health status of the pet is a historical sensitive sub-health state, the history adjustment unit adjusts the preset diet amount Pj to Pj1; if the historical health status of the pet is a historical sensitive health state, the history adjustment unit adjusts the preset diet amount Pj to Pj2; if the historical health status of the pet is a sensitive sub-health state, the history adjustment unit does not adjust the preset diet amount Pj, and sets Pj1=Pj×{1-[α(i)-B2] / B2}, Pj2=Pj×ln{e-[α(i)-B2] / B2}, where e is the natural logarithm.

7. The pet health intelligent monitoring system according to claim 6, characterized in that: The abnormality analysis module is used to analyze the abnormal state of each pet according to the analysis results of the abnormal physical signs and abnormal diet of each pet during the monitoring period: if t(i) / T<Y and the diet of the pet is normal during the monitoring period, the abnormality analysis module determines that the pet is normal during the monitoring period; if t(i) / T<Y and the diet of the pet is abnormal during the monitoring period, the abnormality analysis module determines that the abnormal state of the pet during the monitoring period is emotional abnormality; if t(i) / T≥Y and the diet of the pet is normal during the monitoring period, the abnormality analysis module determines that the abnormal state of the pet during the monitoring period is health abnormality; if t(i) / T≥Y and the diet of the pet during the monitoring period is abnormal, the abnormality analysis module determines that the abnormal state of the pet during the monitoring period is comprehensive state abnormality; Among them, Y is the preset abnormal sign ratio, t(i) is the duration of abnormal physical signs of the i-th pet during the monitoring period, and T is the duration of the monitoring period.

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