CN109644892A - Animal monitoring method and system - Google Patents
Animal monitoring method and system Download PDFInfo
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- CN109644892A CN109644892A CN201910075935.9A CN201910075935A CN109644892A CN 109644892 A CN109644892 A CN 109644892A CN 201910075935 A CN201910075935 A CN 201910075935A CN 109644892 A CN109644892 A CN 109644892A
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- 241001465754 Metazoa Species 0.000 title claims abstract description 194
- 238000012544 monitoring process Methods 0.000 title claims abstract description 28
- 238000000034 method Methods 0.000 title claims abstract description 17
- 230000036651 mood Effects 0.000 claims abstract description 75
- 238000001514 detection method Methods 0.000 claims description 50
- 230000036772 blood pressure Effects 0.000 claims description 15
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 claims description 10
- 230000029058 respiratory gaseous exchange Effects 0.000 claims description 9
- 238000004458 analytical method Methods 0.000 claims description 5
- 210000003746 feather Anatomy 0.000 claims description 4
- 206010027940 Mood altered Diseases 0.000 claims description 3
- 230000004044 response Effects 0.000 claims description 3
- 238000009423 ventilation Methods 0.000 claims description 3
- 238000000611 regression analysis Methods 0.000 claims 1
- 230000004083 survival effect Effects 0.000 abstract description 11
- 230000007613 environmental effect Effects 0.000 abstract description 9
- 230000006399 behavior Effects 0.000 description 4
- 230000008901 benefit Effects 0.000 description 2
- 230000007812 deficiency Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 241000282693 Cercopithecidae Species 0.000 description 1
- 208000001953 Hypotension Diseases 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 238000004378 air conditioning Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000006835 compression Effects 0.000 description 1
- 238000007906 compression Methods 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000003862 health status Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 208000012866 low blood pressure Diseases 0.000 description 1
- 238000011897 real-time detection Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
Classifications
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01K—ANIMAL HUSBANDRY; AVICULTURE; APICULTURE; PISCICULTURE; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
- A01K29/00—Other apparatus for animal husbandry
- A01K29/005—Monitoring or measuring activity, e.g. detecting heat or mating
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- Life Sciences & Earth Sciences (AREA)
- Environmental Sciences (AREA)
- Biophysics (AREA)
- Animal Husbandry (AREA)
- Biodiversity & Conservation Biology (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a kind of animal monitoring method, belong to animal monitoring field, including obtain in preset time, reacts the fisrt feature signal of animal institute habitat environment situation, and the second feature signal of reaction animal bodies state；It identifies type of animal information, calls the mood parser with type of animal information matches, mood parser is used to judge that animal mood is good or mood is poor according to second feature signal；The correlative connection for establishing fisrt feature signal and animal mood quality in preset time establishes the prediction model of animal mood quality Yu fisrt feature signal using preset statistic algorithm；The third feature signal for obtaining the reaction animal institute habitat environment situation of predicted time, is based on prediction model, calculates the prediction case of animal mood；If prediction case is that mood is poor, animal institute habitat environment situation is adjusted to the direction for keeping animal mood good.Animal mood is predicted by environmental aspect, then carries out feedback adjustment, to build the environment of animal survival growth preferably.
Description
Technical field
The present invention relates to animal monitoring, more specifically, it relates to a kind of animal monitoring method and system.
Background technique
The continuous development of human society, population technology is increasing, and people occupy and are transformed more next to natural environment
It is bigger, this with regard to heavy compression animal living environment so that more and more animal is had to mankind's community life in phase
In same environment.However, every kind of animal has one's own living environment, although with mankind's mutual survival, animal itself
Do not change for the demand of environment, in order to guarantee animal can in the environment of human lives normal existence, for dynamic
The detection of object living environment is highly important.
Currently, being artificial observation method to the conventional method of animal monitoring, i.e., assessed by qualitative parameter.Or it utilizes
Detection device detection, analyzes behavior, judges its health status.Daily behavior is detected using various detection devices, it has also become monitoring
Trend.
It is time-consuming, the amount of labour is big, low efficiency, tends to have omission when being monitored using artificial observation method to animal, and vulnerable to
To the influence changed between the subjective or different observers of observer.When the various detection devices of utilization detect daily behavior
It waits, such device or system monitoring factor are single, feed back to that user's result is simple, and fail to consider the specificity of individual behavior,
Objectively and comprehensively it cannot be monitored.
Summary of the invention
In view of the deficienciess of the prior art, the first object of the present invention is to provide a kind of animal monitoring method, for
The physical condition of individual animals adjusts environmental aspect preferably, builds the environment of animal survival growth preferably.
To achieve the above object, the present invention provides the following technical scheme that
A kind of animal monitoring method, including
It obtains in preset time, reacts the fisrt feature signal of animal institute habitat environment situation, and react animal bodies state
Second feature signal；
It identifies type of animal information, calls the mood parser with the type of animal information matches, the mood analysis is calculated
Method is used to judge that animal mood is good or mood is poor according to the second feature signal；
The correlative connection for establishing the fisrt feature signal and animal mood quality in the preset time, utilizes preset statistics
Algorithm establishes the prediction model of animal mood quality Yu the fisrt feature signal；
The third feature signal for obtaining the reaction animal institute habitat environment situation of predicted time, is based on prediction model, calculates animal feelings
The prediction case of thread；
If the prediction case is that mood is poor, animal institute habitat environment situation is adjusted to the direction for keeping animal mood good.
By adopting the above technical scheme, the data of the animal living environment situation and animal state in preset time, benefit are counted
The good or poor of animal mood is calculated with mood parser, so that the correlative connection of environmental aspect and animal state is established, and
Using statistic algorithm, the prediction model using environmental aspect prediction animal mood is established.Real-time detection environmental aspect later passes through
Environmental aspect predicts animal mood, then carries out feedback adjustment, to build the environment of animal survival growth preferably.
Preferably, the fisrt feature signal includes the temperature detection signal for reacting animal living environment temperature regime, instead
Answer the Humidity Detection signal of animal living environment humidity conditions, and the methane content inspection of reaction animal living environment air regime
Survey signal.
By adopting the above technical scheme, temperature, humidity and air are the most sensitive factors of animal, are carried out respectively to three elements
Monitoring facilitates the environment for building animal survival growth.
Preferably, the second feature signal includes the heart rate detection signal for reacting animal heart rate height, and reaction animal exhales
Inhale the breathing detection signal of number, and the blood pressure detecting signal of reaction animal blood pressure height.
By adopting the above technical scheme, heart rate, respiration rate and blood pressure are the sign that animal can most reflect mood, to three
It is detected, facilitates judgement animal mood.
Preferably, the preset statistic algorithm is algorithm with regress analysis method.
By adopting the above technical scheme, algorithm with regress analysis method aids in determining whether influence of the independent variable to dependent variable.
In view of the deficienciess of the prior art, the second object of the present invention is to provide a kind of animal monitoring systems, for
The physical condition of individual animals adjusts environmental aspect preferably, builds the environment of animal survival growth preferably.
To achieve the above object, the present invention provides the following technical scheme that
A kind of animal monitoring systems, including
Context detection module, for exporting fisrt feature signal corresponding with animal institute's habitat environment situation；
Animal detection module, for exporting second feature signal corresponding with animal bodies situation；
Identity module, storage and the unique corresponding animal identification information of animal individual；
Identification module, for identification identity module；
Memory module stores be in a bad mood parser and preset statistic algorithm；
Processor module calls the mood parser with type of animal information matches, judges animal according to second feature signal
In fine feather or mood is poor；The correlative connection for establishing fisrt feature signal and animal mood quality is built using preset statistic algorithm
The prediction model of vertical animal mood quality and fisrt feature signal；Based on prediction model, the prediction case of animal mood is calculated；?
When prediction case is mood difference, the adjustment order adjusted to animal institute habitat environment situation to the direction for keeping animal mood good is exported；
Environment adjusts module, is adjusted in response to adjustment order to animal living environment situation.
By adopting the above technical scheme, each animal individual is distinguished using identity module, passes through identification
Module detects the animal identification, and is classified as corresponding type of animal, and animal detection module detects the physical condition of same type animal,
Processor module judges animal mood according to the physical condition of animal, and establishes prediction mould of the animal mood based on environmental aspect
Type calculates the prediction case of animal mood；When prediction case is mood difference, output is to animal institute habitat environment situation to making animal
The adjustment order of direction adjustment in fine feather, and module is adjusted by environment, animal living environment situation is carried out making animal mood
Good direction tune is whole, to build the environment of animal survival growth preferably.
Preferably, the context detection module includes temperature detecting unit, humidity detection unit, methane content detection list
Member.
By adopting the above technical scheme, temperature, humidity and air are the most sensitive factors of animal, are carried out respectively to three elements
Monitoring facilitates the environment for building animal survival growth.
Preferably, the animal detection module include detect animal heart rate height heart rate detection unit, detection animal exhale
It inhales the breathing detection unit of number and detects the blood pressure detecting unit of animal blood pressure height.
By adopting the above technical scheme, heart rate, respiration rate and blood pressure are the sign that animal can most reflect mood, to three
It is detected, facilitates judgement animal mood.
Preferably, the environment adjustment module includes temperature adjustment unit, humidity adjustment unit and fresh-air ventilation unit.
By adopting the above technical scheme, the influence being directed to is suitable for by being taken a breath to temperature, humidity and air respectively
The environment that animal lives.
In conclusion the invention has the following advantages: predict animal mood by environmental aspect, then fed back
Adjustment, to build the environment of animal survival growth preferably；Temperature, humidity and air are the most sensitive factors of animal, right
Three elements are monitored respectively, facilitate the environment for building animal survival growth.
Detailed description of the invention
Fig. 1 is the flow diagram of animal monitoring method in the present invention；
Fig. 2 is the schematic illustration of animal monitoring systems in the present invention.
In figure: 1, context detection module；2, animal detection module；3, identification module；4, memory module；5, processor
Module；6, environment adjusts module.
Specific embodiment
With reference to the accompanying drawings and embodiments, the present invention will be described in detail.
Embodiment 1
A kind of animal monitoring method, referring to Fig.1, including following below scheme step:
Step S101: obtaining between default, reacts the fisrt feature signal of animal institute habitat environment situation, and reaction animal body
The second feature signal of body state.
Step S102: identification type of animal information is divided based on second feature signal by being suitable for the mood of the type of animal
Analysis algorithm judges animal mood quality.
Step S103: preset statistic algorithm is utilized, the prediction that fisrt feature signal influences animal mood quality is established
Model.
Step S104: the third feature signal of the reaction animal institute habitat environment situation of predicted time is obtained, based on prediction mould
Type calculates the prediction case of animal mood.
Step S105: if the prediction case is that mood is poor, to animal institute habitat environment situation to the side for keeping animal mood good
To adjustment.
In step s101, the time of preset time fingering action substance environment normal amount statistics, i.e., for no human interference
Natural environment situation statistics.Fisrt feature signal includes the temperature detection signal for reacting animal living environment temperature regime,
React the Humidity Detection signal of animal living environment humidity conditions, and the methane content of reaction animal living environment air regime
Detect signal.Temperature, humidity and air are the most sensitive factors of animal, are monitored respectively to three elements, help to build
The environment of animal survival growth.
In step s 102, identification type of animal refers to type, such as monkey, white mouse belonging to identification animal etc., it
The mood parser for corresponding to type of animal is called afterwards, and mood parser analyzes and determines animal based on second feature signal
In fine feather or mood is poor.Mood parser refers to the patent of invention of Publication No. CN103919537B.Second feature signal
Heart rate detection signal including reacting animal heart rate height reacts the breathing detection signal of animal breath number, and reaction is moved
The blood pressure detecting signal of object blood pressure height.
In step s 103, the correlative connection of fisrt feature signal and animal mood quality in preset time is initially set up,
Using preset statistic algorithm, the prediction model of animal mood quality Yu fisrt feature signal is established, statistic algorithm is using recurrence
Parser.
In step S104, predicted time refers to the time to animal real time monitoring, and third feature signal equally includes reaction
The heart rate detection signal of animal heart rate height reacts the breathing detection signal of animal breath number, and reaction animal blood pressure height
Low blood pressure detecting signal.
In step S105, for prediction result, temperature, humidity and the air draught of animal institute habitat environment are adjusted
It is whole, so that animal mood is improved.
Embodiment 2
A kind of animal monitoring systems, referring to Fig. 2, including context detection module 1, animal detection module 2, identity module, body
Part identification module 3, memory module 4, processor module 5, environment adjust module 6.
Wherein, context detection module 1 is for exporting fisrt feature signal corresponding with animal institute's habitat environment situation；Environment
Adjusting module 6 includes temperature adjustment unit, humidity adjustment unit and fresh-air ventilation unit.
Animal detection module 2 is for exporting second feature signal corresponding with animal bodies situation；Animal detection module 2
Including detecting the heart rate detection unit of animal heart rate height, the breathing detection unit for detecting animal breath number and detection animal
The blood pressure detecting unit of blood pressure height.
Identity module storage and the unique corresponding animal identification information of animal individual；Identification module 3 is for knowing
Other identity module is originally that embodiment identity module and identification module 3 use RFID label tag identification technology.
Memory module 4 stores be in a bad mood parser and preset statistic algorithm.Processor module 5 calls and type of animal
The mood parser of information matches judges that animal mood is good or mood is poor according to second feature signal；Establish fisrt feature letter
Correlative connection number with animal mood quality establishes animal mood quality and fisrt feature signal using preset statistic algorithm
Prediction model；Based on prediction model, the prediction case of animal mood is calculated；When prediction case is mood difference, output is to dynamic
The adjustment order that object institute habitat environment situation is adjusted to the direction for keeping animal mood good.
Environment adjust module 6, in response to adjustment order animal living environment situation is adjusted, including air-conditioning system and
Fresh air system.
The above is only a preferred embodiment of the present invention, protection scope of the present invention is not limited merely to above-mentioned implementation
Example, all technical solutions belonged under thinking of the present invention all belong to the scope of protection of the present invention.It should be pointed out that for the art
Those of ordinary skill for, several improvements and modifications without departing from the principles of the present invention, these improvements and modifications
It should be regarded as protection scope of the present invention.
Claims (8)
1. a kind of animal monitoring method, it is characterised in that: including
It obtains in preset time, reacts the fisrt feature signal of animal institute habitat environment situation, and react animal bodies state
Second feature signal；
It identifies type of animal information, calls the mood parser with the type of animal information matches, the mood analysis is calculated
Method is used to judge that animal mood is good or mood is poor according to the second feature signal；
The correlative connection for establishing the fisrt feature signal and animal mood quality in the preset time, utilizes preset statistics
Algorithm establishes the prediction model of animal mood quality Yu the fisrt feature signal；
The third feature signal for obtaining the reaction animal institute habitat environment situation of predicted time, is based on prediction model, calculates animal feelings
The prediction case of thread；
If the prediction case is that mood is poor, animal institute habitat environment situation is adjusted to the direction for keeping animal mood good.
2. animal monitoring method according to claim 1, it is characterised in that: the fisrt feature signal includes reaction animal
The temperature detection signal of living environment temperature regime reacts the Humidity Detection signal of animal living environment humidity conditions, and anti-
The methane content of animal living environment air regime is answered to detect signal.
3. animal monitoring method according to claim 1, it is characterised in that: the second feature signal includes reaction animal
The heart rate detection signal of heart rate height reacts the breathing detection signal of animal breath number, and reacts animal blood pressure height
Blood pressure detecting signal.
4. animal monitoring method according to claim 1, it is characterised in that: the preset statistic algorithm is regression analysis
Algorithm.
5. a kind of animal monitoring systems, it is characterised in that: including
Context detection module (1), for exporting fisrt feature signal corresponding with animal institute's habitat environment situation；
Animal detection module (2), for exporting second feature signal corresponding with animal bodies situation；
Identity module, storage and the unique corresponding animal identification information of animal individual；
Identification module (3), for identification identity module；
Memory module (4) stores be in a bad mood parser and preset statistic algorithm；
Processor module (5) calls the mood parser with type of animal information matches, dynamic according to the judgement of second feature signal
Object is in fine feather or mood is poor；The correlative connection for establishing fisrt feature signal Yu animal mood quality, using preset statistic algorithm,
Establish the prediction model of animal mood quality Yu fisrt feature signal；Based on prediction model, the prediction case of animal mood is calculated；
When prediction case is mood difference, exports the adjustment adjusted to animal institute habitat environment situation to the direction for keeping animal mood good and order
It enables；
Environment adjusts module (6), is adjusted in response to adjustment order to animal living environment situation.
6. animal monitoring systems according to claim 5, it is characterised in that: the context detection module (1) includes temperature
Detection unit, humidity detection unit, methane content detection unit.
7. animal monitoring systems according to claim 5, it is characterised in that: the animal detection module (2) includes detection
The heart rate detection unit of animal heart rate height, the breathing detection unit for detecting animal breath number and detection animal blood pressure height
Blood pressure detecting unit.
8. animal monitoring systems according to claim 5, it is characterised in that: environment adjustment module (6) includes temperature
Adjustment unit, humidity adjustment unit and fresh-air ventilation unit.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910075935.9A CN109644892A (en) | 2019-01-25 | 2019-01-25 | Animal monitoring method and system |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910075935.9A CN109644892A (en) | 2019-01-25 | 2019-01-25 | Animal monitoring method and system |
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| CN109644892A true CN109644892A (en) | 2019-04-19 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111124018A (en) * | 2019-12-31 | 2020-05-08 | 浙江大学 | Pet monitoring chamber intelligent temperature control method based on multiple sensors |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150373951A1 (en) * | 2014-06-26 | 2015-12-31 | Ridogulous Labs Inc. | Data-acquiring and reporting animal collar |
| CN105494143A (en) * | 2015-12-16 | 2016-04-20 | 惠州Tcl移动通信有限公司 | Intelligent wearable equipment applied to pet |
| CN105581802A (en) * | 2014-11-17 | 2016-05-18 | 天津点康科技有限公司 | System and method for carrying out real-time judgment on emotional fluctuation |
| CN105957140A (en) * | 2016-05-31 | 2016-09-21 | 成都九十度工业产品设计有限公司 | Pet dog interaction system based on technology of augmented reality, and analysis method |
| US20160302393A1 (en) * | 2015-04-20 | 2016-10-20 | Smilables Inc. | Intelligent pet monitoring system |
| CN109064011A (en) * | 2018-07-30 | 2018-12-21 | 合肥信亚达智能科技有限公司 | A kind of efficient management-control method of pet and system of Behavior-based control analysis |
-
2019
- 2019-01-25 CN CN201910075935.9A patent/CN109644892A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150373951A1 (en) * | 2014-06-26 | 2015-12-31 | Ridogulous Labs Inc. | Data-acquiring and reporting animal collar |
| CN105581802A (en) * | 2014-11-17 | 2016-05-18 | 天津点康科技有限公司 | System and method for carrying out real-time judgment on emotional fluctuation |
| US20160302393A1 (en) * | 2015-04-20 | 2016-10-20 | Smilables Inc. | Intelligent pet monitoring system |
| CN105494143A (en) * | 2015-12-16 | 2016-04-20 | 惠州Tcl移动通信有限公司 | Intelligent wearable equipment applied to pet |
| CN105957140A (en) * | 2016-05-31 | 2016-09-21 | 成都九十度工业产品设计有限公司 | Pet dog interaction system based on technology of augmented reality, and analysis method |
| CN109064011A (en) * | 2018-07-30 | 2018-12-21 | 合肥信亚达智能科技有限公司 | A kind of efficient management-control method of pet and system of Behavior-based control analysis |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111124018A (en) * | 2019-12-31 | 2020-05-08 | 浙江大学 | Pet monitoring chamber intelligent temperature control method based on multiple sensors |
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