CN102954817A - Method for monitoring animal motion state - Google Patents
Method for monitoring animal motion state Download PDFInfo
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- CN102954817A CN102954817A CN2012100109132A CN201210010913A CN102954817A CN 102954817 A CN102954817 A CN 102954817A CN 2012100109132 A CN2012100109132 A CN 2012100109132A CN 201210010913 A CN201210010913 A CN 201210010913A CN 102954817 A CN102954817 A CN 102954817A
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Abstract
The invention discloses a method for monitoring an animal motion state. The method comprises the following steps of: S1. respectively and fixedly mounting acceleration sensors on more than one key part of each specified monitoring animal in a monitoring area; S2. acquiring the original motion information of the specified monitoring animal by the acceleration sensors according to the preset frequency; S3. transmitting the acquired original motion information to a remote monitoring platform; and S4. processing the original motion information through the remote monitoring platform to obtain the motion state information of the specified monitoring animal. Therefore, according to the method, the motion state of each animal can be accurately acquired in real time, and people are guided to take corresponding measures through the acquired motion state according to the characteristics of the animals, so that the healthy development of the animal husbandry is facilitated.
Description
Technical field
The invention belongs to the motion state monitoring technical field, be specifically related to a kind of monitoring method of animal movement state.
Background technology
The animal movement state is the macroscopic view reflection of many-sided integrated motion functions such as animal flesh bone kinematic system and Neural control system.
The acquisition methods of existing animal movement state is mainly artificial direct observational method, the major defect that this artificial direct observational method exists is: (one) efficient is low, during especially for livestocks such as large tracts of land raising pig, ox or sheep, be difficult to accurately observe the motion conditions of each animal; (2) observations can't be quantitative just to the qualitative understanding of animal movement situation, therefore, can't each animal of accurate recording in intraday distribution of movement situation.
Summary of the invention
Defective for the prior art existence, the invention provides a kind of monitoring method of animal movement state, the motion state of each animal of Real-time Obtaining more accurately, by the motion state that gets access to, characteristics for animal self, instruct people to take corresponding measure, thereby promote the sound development of animal husbandry.
The technical solution adopted in the present invention is as follows:
The invention provides a kind of monitoring method of animal movement state, may further comprise the steps:
S1, each specifies the above key position of monitoring animal to fixedly mount respectively acceleration transducer in the monitored area;
S2, described acceleration transducer gather the original motion information of described appointment monitoring animal by predeterminated frequency;
S3 sends to remote monitoring platform with the described original motion information that collects;
S4, described remote monitoring platform is processed described original motion information, obtains the motion state information of described appointment monitoring animal.
Preferably, among the S1, described appointment monitoring animal comprises: insects animal, fish animal, reptile, birds and mammal.
Preferably, described insects animal comprises: honeybee, dragonfly, butterfly; Described fish animal comprises: black carp, grass carp, silver carp, bighead, carp, crucian; Described reptile comprises: snake, lizard, gecko; Described birds comprise: chicken, duck, goose; Described mammal comprises: pig, ox, horse, sheep.
Preferably, among the S1, described key position comprises one or more in the following position: neck, chest, belly, back, foot, wing position.
Preferably, among the S1, described acceleration transducer is 3-axis acceleration sensor.
Preferably, S4 specifically may further comprise the steps:
S41 extracts Gx, Gy and Gz from described original motion information; Wherein, Gx represents the acceleration component values of the described appointment monitoring animal that described 3-axis acceleration sensor measures in X-direction; Gy represents the acceleration component values of the described appointment monitoring animal that described 3-axis acceleration sensor measures in Y direction; Gz represents the component of acceleration of the described appointment monitoring animal that described 3-axis acceleration sensor measures in Z-direction;
S42 judges the motion state of described appointment monitoring animal according to described Gx, Gy and Gz.
Preferably, S42 is specially:
Judge that described appointment monitoring animal Gx value in specifying monitoring time length surpasses respectively the numerical value first time of default Gx value more than, and according to described first time of numerical value big or small and judge that with the size of described default Gx value corresponding to described first time of numerical value described appointment monitors the exercise intensity of animal in described appointment monitoring time length;
Judge that described appointment monitoring animal Gy value in specifying monitoring time length surpasses respectively the numerical value second time of default Gy value more than, and according to described second time numerical value size judge that described appointment monitors the exercise intensity of animal and the surface condition that the animal place is monitored in described appointment;
Judge that described appointment monitoring animal Gz value in specifying monitoring time length surpasses respectively for the third time numerical value of default Gz value more than, and judge rolling about or the state that couches of described appointment monitoring animal according to the size of described for the third time numerical value, and then infer the sleep quality of described appointment monitoring animal.
Preferably, after S41, also comprise:
S43, calculate G by following formula:
G=(Gx
2+ Gy
2+ Gz
2)
1/2, wherein, G represents the total acceleration value of the described appointment monitoring animal that described 3-axis acceleration sensor measures;
S44 draws the G-t relation curve, and wherein, t represents the acquisition time of described 3-axis acceleration sensor;
S45 obtains the motion state information that animal is monitored in described appointment by described G-t relation curve;
S46, the soft or hard situation of the ground surface of the described monitoring of environmental of the described appointment monitoring animal of motion state acquisition of information of the described appointment monitoring animal that obtains according to S45.
Preferably, after S43, also comprise:
S47 carries out integration to the G value that S43 obtains, and obtains speed V;
S48 draws the V-t relation curve, and wherein, t represents the acquisition time of described 3-axis acceleration sensor;
S49 obtains the motion state information that animal is monitored in described appointment by described V-t relation curve.
Preferably, after the S49, also comprise:
S50 in described V-t relation curve, when the time span that is lower than default minimum threshold when the V value surpasses the first Preset Time length, applies stimulus signal to the residing environment of described appointment monitoring animal;
When the time span that is higher than default max-thresholds when the V value surpasses the second Preset Time length, send alerting signal to the residing local monitoring terminals of described appointment monitoring animal.
Preferably, described stimulus signal comprises: sound, light.
Reference factor when preferably, setting described default minimum threshold and described default max-thresholds comprises one or more in the following information: age, body weight, food-intake, habit, the monitoring time point of described appointment monitoring animal.
Preferably, after S49, also comprise:
S51 monitors the described appointment of motion state acquisition of information of animal and monitors the sleep quality information of animal monitoring of environmental information of living in and/or described appointment monitoring animal and/or the feed information of described appointment monitoring animal according to the described appointment of S49 acquisition.
Preferably, described appointment monitoring animal monitoring of environmental information of living in comprises one or more in the following information: the ventilation situation of the temperature value of described monitoring of environmental, described monitoring of environmental.
Beneficial effect of the present invention is as follows:
The monitoring method of the animal movement state that the application of the invention provides, the motion state of each animal of Real-time Obtaining more accurately, by the motion state that gets access to, further infer and specify monitoring animal monitoring of environmental information of living in, described appointment to monitor the sleep quality information of animal and the various information such as feed information of described appointment monitoring animal, thereby the characteristics for animal self, instruct people to take corresponding measure, finally promote the sound development of animal husbandry.
Description of drawings
The schematic flow sheet of the monitoring method of the animal movement state that Fig. 1 provides for the embodiment of the invention;
Fig. 2 is the schematic flow sheet of a kind of specific implementation of S4 among Fig. 1;
The method flow schematic diagram that passes through G-t judgement animal movement state that Fig. 3 provides for the embodiment of the invention;
The method flow schematic diagram that passes through V-t judgement animal movement state that Fig. 4 provides for the embodiment of the invention.
Embodiment
Below in conjunction with accompanying drawing the specific embodiment of the present invention is described.
As shown in Figure 1, the monitoring method of the animal movement state that provides for the embodiment of the invention may further comprise the steps:
S1, each specifies the above key position of monitoring animal to fixedly mount respectively acceleration transducer in the monitored area;
Wherein, the appointment monitoring animal that the present invention relates to can for any animal that needs its motion state of monitoring, include but not limited to: insects animal, fish animal, reptile, birds and mammal.Further, the insects animal includes but not limited to: honeybee, dragonfly, butterfly; Animal includes but not limited to fish: black carp, grass carp, silver carp, bighead, carp, crucian; Reptile includes but not limited to: snake, lizard, gecko; Birds include but not limited to: chicken, duck, goose; Mammal includes but not limited to: pig, ox, horse, sheep.In actual applications, because pig, ox, horse, sheep, chicken, duck, goose are the main animal varieties in China's animal husbandry, the motion state of these several animal varietiess of Real-Time Monitoring, can in time take certain measure to the animal of correspondence, thereby promote the development of China's animal husbandry, so the monitoring method of animal movement state provided by the invention is particularly useful for above-mentioned a few class animal varieties.
The key position that is used for the installation acceleration transducer comprises one or more of following position: neck, chest, belly, back, foot, wing position.For an animal, can only at certain key position an acceleration transducer be installed, for improving the precision of animal movement status monitoring, also can choose several key positions, and at each key position an acceleration transducer is installed respectively.For example: for an ox, because the motion conditions of its four limbs can effectively reflect the mass motion state of ox, so, can only be chosen in an acceleration transducer is installed on any one limbs in the four limbs.In addition, the animal of different cultivars, its key position is different, concrete selection mode can obtain according to the limited number of time test, does not repeat them here.In addition, be to guarantee the acquisition precision of acceleration transducer, the key position that is fixed on animal bodies that need to degree of will speed up sensor-robust is avoided the activity because of animal limb, causes acceleration transducer to depart from original installation site.The method of concrete installation acceleration transducer can for: degree of will speed up sensor is bundled in the key position of animal bodies by rope.It should be noted that for the acceleration transducer with direction of measurement, also need to guarantee the correct installation direction of acceleration transducer.
In addition, be the further acquisition precision that improves acceleration transducer, thereby guarantee the follow-up motion state that can obtain accurately more comprehensively animal, acceleration transducer is preferably 3-axis acceleration sensor.X, Y, three axial acceleration of Z when 3-axis acceleration sensor gathers animal movement, wherein, X, Y, Z are three mutually orthogonal directions.
S2, acceleration transducer press the original motion information that the monitoring animal is specified in the predeterminated frequency collection;
Wherein, original motion information is specially the acceleration of specifying the monitoring animal.
S3 sends to remote monitoring platform with the original motion information that collects;
On specific implementation, 3-axis acceleration sensor can be exported to A/D converter with voltage signal with the original motion information that collects after holding pressure transducer, gain amplification, wave filter and temperature compensation, A/D converter sends to remote monitoring platform by network after this voltage signal is converted to digital signal.
In addition, the original motion information that collects is sent to remote monitoring platform and can pass through wireless technology or RFID technology experiment.
S4, remote monitoring platform is processed original motion information, obtains specifying the motion state information of monitoring animal.
As shown in Figure 2, S4 specifically may further comprise the steps:
S41 extracts Gx, Gy and Gz from original motion information; Wherein, Gx represents the acceleration component values of the appointment monitoring animal that 3-axis acceleration sensor measures in X-direction; Gy represents the acceleration component values of the appointment monitoring animal that 3-axis acceleration sensor measures in Y direction; Gz represents the component of acceleration of the appointment monitoring animal that 3-axis acceleration sensor measures in Z-direction;
S42 judges the motion state of specifying the monitoring animal according to Gx, Gy and Gz.
This step can directly directly be judged the motion state of specifying the monitoring animal according to the component value of 3-axis acceleration on three orthogonal directionss that calculates.
Concrete determination methods comprises:
(1) judge to specify monitoring animal Gx value in specifying monitoring time length to surpass respectively the numerical value first time of default Gx value more than, and according to the first time numerical value size and monitor the exercise intensity of animal in described appointment monitoring time length with the size judgement appointment of default Gx value corresponding to the numerical value first time;
For example: three default Gx values are set respectively, 1G, 2G, 3G on the Gx direction; Animal under the normal condition, in the time period, the number of times that actual measurement Gx value surpasses 1G is 10 times at 8:00-10:00, and the number of times that surpasses 2G is 3 times, and the number of times that surpasses 3G is 1 time.
If animal A is at certain day 8:00-10:00 in the time period, the number of times that actual measurement Gx value surpasses 1G is 3 times, do not surpass 2G, the number of times of 3G, can infer that then animal A exercise intensity within this time period is excessively low, and situation about further descending by animal movement intensity infers the variation of external environment, and for example: the residing environment temperature of animal A is excessively high.
(2) judge to specify monitoring animal Gy value in specifying monitoring time length to surpass respectively the numerical value second time of default Gy value more than, and according to described second time numerical value size judge the exercise intensity of described appointment monitoring animal and the surface condition that the animal place is monitored in appointment;
Because Gy value can reflect the exercise intensity of animal and the ground soft or hard situation at animal place, especially for the animal of the outer cultivation of canopy, can judge the whether situation such as mire of ground by the Gy value.
(3) judge for the third time numerical value of specifying monitoring animal Gz value in specifying monitoring time length to surpass respectively default Gz value more than, and judge according to the size of described for the third time numerical value and to specify rolling about or the state that couches of monitoring animal, and then infer the sleep quality of described appointment monitoring animal.
Certainly, among the present invention, also can calculate Gx, Gy and Gz, obtain total acceleration G, judge the motion state of animal by total acceleration again, specifically as shown in Figure 3, comprise S41-S46, wherein, S41, S42 repeat no more, and S43-S46 is specially:
S43, calculate G by following formula:
G=(Gx
2+ Gy
2+ Gz
2)
1/2, wherein, G represents the total acceleration value of the appointment monitoring animal that described 3-axis acceleration sensor measures;
Because the motion variation that any one direction all can produce acceleration in the space of animal so the present invention can adopt the geometric mean of three axial acceleration component as the total acceleration value, thereby better embodies the variation of animal movement by this total acceleration value.
S44 draws the G-t relation curve, and wherein, t represents the acquisition time of described 3-axis acceleration sensor;
S45 obtains the motion state information that animal is monitored in described appointment by described G-t relation curve;
S46, the soft or hard situation of the ground surface of the described monitoring of environmental of the described appointment monitoring animal of motion state acquisition of information of the described appointment monitoring animal that obtains according to S45.
When outdoor when herding a plurality of appointments monitoring animal, each specifies the G-t relation curve of monitoring animal analysis-by-synthesis, when each G-t relation curve of specifying monitoring animal when G value is all high in the section at one time, can infer that ground surface that animal walks is monitored in each appointment harder; On the contrary, when each G-t relation curve of specifying monitoring animal when G value is all low in the section at one time, can infer that ground surface that animal walks is monitored in each appointment softer.
For example: when herding a herd of cattle on the meadow in the open air, all fixedly mount an acceleration transducer on each ox, G-t relation curve by each ox of analysis-by-synthesis, thereby obtain the soft or hard situation on cows meadow of living in, when the meadow is softer, can infer further that the meadow is more moistening, in such cases, this kind meadow is very easily destroyed, thus be not suitable for herding, thus the guiding work personnel transfer to cows other Grazing grasslands fast.
After S43 obtained the G value, the present invention also can obtain speed V by the G value is carried out integration, and inferred the various situations of specifying the monitoring animal by V-t, and as shown in Figure 4, S41, S42 do not repeat them here, and specifically may further comprise the steps:
S47 carries out integration to the G value that S43 obtains, and obtains speed V;
Because the total acceleration value that measures by acceleration transducer is in some cases, the motion state that can not reflect intuitively animal, for example: when animal is cooked linear uniform motion with the speed of 5m/s, its acceleration is 0, so, in this step, the G value is carried out integration, obtain speed V, and then obtain the motion state information of described appointment monitoring animal by the V-t relation curve.Certainly, in some cases, G can well reflect some characteristic quantities, so, in step S48-S50, be the motion state information of the described appointment monitoring animal that obtains by the G-t relation curve.
S48 draws the V-t relation curve, and wherein, t represents the acquisition time of 3-axis acceleration sensor;
S49 obtains specifying the motion state information of monitoring animal by the V-t relation curve.
By the V-t relation curve, can judge intuitively animal and be in static resting state or motion state, thereby be convenient for people to directly obtain the motion state of animal.
After S49, also comprise S50 or S51:
S50 is in the V-t relation curve, when the time span that is lower than default minimum threshold when the V value surpasses the first Preset Time length, to specifying the residing environment of monitoring animal to apply stimulus signal; Wherein, stimulus signal comprises: sound, light.
When the time span that is higher than default max-thresholds when the V value surpasses the second Preset Time length, send alerting signal to the residing local monitoring terminals of described appointment monitoring animal.
In this step, the reference factor when setting default minimum threshold and default max-thresholds comprises one or more in the following information: age, body weight, food-intake, habit, the time point of specifying the monitoring animal.Because the difference of each animal self-condition is so the default minimum threshold of each animal is not identical with default max-thresholds.
For example: be to guarantee the output of milk of milk cow, can set a weight and be 500KG, age is that 3 years old milk cow should be satisfied following motion between every mornings 9 point-10: default minimum threshold is: 1m/s, default max-thresholds are 3m/s; If when monitoring an ox time span that 9 V values are lower than 1m/s reaching 15 minutes since the morning, show that then this ox lacks necessary motion, so, can apply stimulus signal to the residing environment of ox, for example: music playing, thus stimulate this ox to carry out necessary activity.Same, if when monitoring an ox time span that 9 V values are higher than 3m/s reaching 15 minutes since the morning, show that then this ox motion is too fierce, may be owing to being subject to due to certain scaring, so, need to send alerting signal this moment to the residing local monitoring terminals of ox, notifies the poultry raiser in time to find out situation, avoids the fierceness of ox to collide and the property equipment of destruction plant.
S51 monitors the described appointment of motion state acquisition of information of animal and monitors the sleep quality information of animal monitoring of environmental information of living in and/or described appointment monitoring animal and/or the feed information of described appointment monitoring animal according to the described appointment of S49 acquisition.Wherein, described appointment monitoring animal monitoring of environmental information of living in comprises one or more in the following information: the ventilation situation of the temperature value of described monitoring of environmental, described monitoring of environmental.
For example: when specifying the monitoring animal to be in when indoor, if its motion state information shows that its amount of exercise is less, can infer then that this animal sleep is second-rate and/or take food less etc.
When indoor when monitoring simultaneously the motion state of a plurality of animals, amount of exercise by each animal of analysis-by-synthesis, can infer the indoor environment situation, for example: when the amounts of exercise of indoor a plurality of animals all than hour, can infer indoor temperature excessively or the room ventilation situation relatively poor.
In sum, the monitoring method of the animal movement state that the application of the invention provides, the motion state of each animal of Real-time Obtaining more accurately, by the motion state that gets access to, further infer and specify monitoring animal monitoring of environmental information of living in, described appointment to monitor the sleep quality information of animal and the various information such as feed information of described appointment monitoring animal, thereby for the characteristics of animal self, instruct people to take corresponding measure, finally promote the sound development of animal husbandry.
The above only is preferred implementation of the present invention; should be pointed out that for those skilled in the art, under the prerequisite that does not break away from the principle of the invention; can also make some improvements and modifications, these improvements and modifications also should be looked protection scope of the present invention.
Claims (14)
1. the monitoring method of animal movement state is characterized in that, may further comprise the steps:
S1, each specifies the above key position of monitoring animal to fixedly mount respectively acceleration transducer in the monitored area;
S2, described acceleration transducer gather the original motion information of described appointment monitoring animal by predeterminated frequency;
S3 sends to remote monitoring platform with the described original motion information that collects;
S4, described remote monitoring platform is processed described original motion information, obtains the motion state information of described appointment monitoring animal.
2. the monitoring method of animal movement state according to claim 1, it is characterized in that, among the S1, described appointment monitoring animal comprises one or more in the following kind: insects animal, fish animal, reptile, birds and mammal.
3. the monitoring method of animal movement state according to claim 2 is characterized in that, described insects animal comprises one or more in the following animal: honeybee, dragonfly, butterfly; Described fish animal comprises one or more in the following animal: black carp, grass carp, silver carp, bighead, carp, crucian; Described reptile comprises one or more in the following animal: snake, lizard, gecko; Described birds comprise one or more in the following animal: chicken, duck, goose; Described mammal comprises one or more in the following animal: pig, ox, horse, sheep.
4. the monitoring method of animal movement state according to claim 1 is characterized in that, among the S1, described key position comprises one or more in the following position: neck, chest, belly, back, foot, wing position.
5. the monitoring method of animal movement state according to claim 1 is characterized in that, among the S1, described acceleration transducer is 3-axis acceleration sensor.
6. the monitoring method of animal movement state according to claim 5 is characterized in that, S4 specifically may further comprise the steps:
S41 extracts Gx, Gy and Gz from described original motion information; Wherein, Gx represents the acceleration component values of the described appointment monitoring animal that described 3-axis acceleration sensor measures in X-direction; Gy represents the acceleration component values of the described appointment monitoring animal that described 3-axis acceleration sensor measures in Y direction; Gz represents the component of acceleration of the described appointment monitoring animal that described 3-axis acceleration sensor measures in Z-direction;
S42 judges the motion state of described appointment monitoring animal according to described Gx, Gy and Gz.
7. the monitoring method of animal movement state according to claim 6 is characterized in that, S42 is specially:
Judge that described appointment monitoring animal Gx value in specifying monitoring time length surpasses respectively the numerical value first time of default Gx value more than, and according to described first time of numerical value big or small and judge that with the size of described default Gx value corresponding to described first time of numerical value described appointment monitors the exercise intensity of animal in described appointment monitoring time length;
Judge that described appointment monitoring animal Gy value in specifying monitoring time length surpasses respectively the numerical value second time of default Gy value more than, and according to described second time numerical value size judge that described appointment monitors the exercise intensity of animal and the surface condition that the animal place is monitored in described appointment;
Judge that described appointment monitoring animal Gz value in specifying monitoring time length surpasses respectively for the third time numerical value of default Gz value more than, and judge rolling about or the state that couches of described appointment monitoring animal according to the size of described for the third time numerical value, and then infer the sleep quality of described appointment monitoring animal.
8. the monitoring method of animal movement state according to claim 6 is characterized in that, after S41, also comprises:
S43, calculate G by following formula:
G=(Gx
2+ Gy
2+ Gz
2)
1/2, wherein, G represents the total acceleration value of the described appointment monitoring animal that described 3-axis acceleration sensor measures;
S44 draws the G-t relation curve, and wherein, t represents the acquisition time of described 3-axis acceleration sensor;
S45 obtains the motion state information that animal is monitored in described appointment by described G-t relation curve;
S46, the soft or hard situation of the ground surface of the described monitoring of environmental of the described appointment monitoring animal of motion state acquisition of information of the described appointment monitoring animal that obtains according to S45.
9. the monitoring method of animal movement state according to claim 8 is characterized in that, after S43, also comprises:
S47 carries out integration to the G value that S43 obtains, and obtains speed V;
S48 draws the V-t relation curve, and wherein, t represents the acquisition time of described 3-axis acceleration sensor;
S49 obtains the motion state information that animal is monitored in described appointment by described V-t relation curve.
10. the monitoring method of animal movement state according to claim 9 is characterized in that, after the S49, also comprises:
S50 in described V-t relation curve, when the time span that is lower than default minimum threshold when the V value surpasses the first Preset Time length, applies stimulus signal to the residing environment of described appointment monitoring animal;
When the time span that is higher than default max-thresholds when the V value surpasses the second Preset Time length, send alerting signal to the residing local monitoring terminals of described appointment monitoring animal.
11. the monitoring method of animal movement state according to claim 10 is characterized in that, described stimulus signal comprises: sound, light.
12. the monitoring method of animal movement state according to claim 10, it is characterized in that, the reference factor when setting described default minimum threshold and described default max-thresholds comprises one or more in the following information: age, body weight, food-intake, habit, the monitoring time point of described appointment monitoring animal.
13. the monitoring method of animal movement state according to claim 9 is characterized in that, after S49, also comprises:
S51 monitors the described appointment of motion state acquisition of information of animal and monitors the sleep quality information of animal monitoring of environmental information of living in and/or described appointment monitoring animal and/or the feed information of described appointment monitoring animal according to the described appointment of S49 acquisition.
14. the monitoring method of animal movement state according to claim 13, it is characterized in that, described appointment monitoring animal monitoring of environmental information of living in comprises one or more in the following information: the ventilation situation of the temperature value of described monitoring of environmental, described monitoring of environmental.
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Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103591984A (en) * | 2013-10-31 | 2014-02-19 | 内蒙古物通天下网络科技有限公司 | System for automatically detecting signs of sheep |
| CN103822665A (en) * | 2014-02-28 | 2014-05-28 | 清华大学 | Insect flying form observing and dynamic characteristic testing device |
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| CN103822665A (en) * | 2014-02-28 | 2014-05-28 | 清华大学 | Insect flying form observing and dynamic characteristic testing device |
| CN103822665B (en) * | 2014-02-28 | 2016-06-29 | 清华大学 | The observation of insect flying form and dynamic property test device |
| CN104041429A (en) * | 2014-06-20 | 2014-09-17 | 浙江大学 | Monitoring method and system for rest laws and activities of chickens |
| CN104041429B (en) * | 2014-06-20 | 2016-01-20 | 浙江大学 | The work and rest rule of chicken and the monitoring method of mobility and system |
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| CN104614109A (en) * | 2015-01-16 | 2015-05-13 | 上海交通大学 | Non-contact force measuring device and non-contact force measuring method |
| CN105044386A (en) * | 2015-06-29 | 2015-11-11 | 中国农业大学 | Aquatic animal behavior monitoring sensor |
| CN105091938A (en) * | 2015-07-09 | 2015-11-25 | 北京农业信息技术研究中心 | Poultry health monitoring method and system |
| CN105091938B (en) * | 2015-07-09 | 2018-05-18 | 北京农业信息技术研究中心 | Livestock birds health condition monitoring method and system |
| WO2018039945A1 (en) * | 2016-08-30 | 2018-03-08 | 深圳市沃特沃德股份有限公司 | Pet habit management method and apparatus, and system therefor |
| WO2018039944A1 (en) * | 2016-08-30 | 2018-03-08 | 深圳市沃特沃德股份有限公司 | Method and apparatus for acquiring pet habits |
| CN106562771B (en) * | 2016-11-21 | 2019-06-18 | 华南理工大学 | A kind of pet sleep recognition methods of Embedded platform |
| CN106562771A (en) * | 2016-11-21 | 2017-04-19 | 华南理工大学 | Embedded platform-oriented pet sleep identification method |
| CN107751029A (en) * | 2017-03-07 | 2018-03-06 | 内蒙古牧野昕光信息技术有限公司 | A kind of ewe childbirth prior-warning device, server and system |
| CN107751029B (en) * | 2017-03-07 | 2021-05-14 | 内蒙古牧野昕光信息技术有限公司 | Ewe childbirth early warning device, server and system |
| CN107426488A (en) * | 2017-05-05 | 2017-12-01 | 北京农业信息技术研究中心 | Broiler chicken limping automatic monitoring method and device |
| CN109511645A (en) * | 2017-09-20 | 2019-03-26 | 贵港市瑞成科技有限公司 | A kind of direction judges that anti-snake escapes system |
| CN108008151A (en) * | 2017-11-09 | 2018-05-08 | 惠州市德赛工业研究院有限公司 | A kind of moving state identification method and system based on 3-axis acceleration sensor |
| CN110830588A (en) * | 2019-11-18 | 2020-02-21 | 湖南省锘恩科德生物科技有限公司 | Viper feeding information monitoring system and control method |
| CN111504433A (en) * | 2020-04-23 | 2020-08-07 | 永康龙飘传感科技有限公司 | Method and device for evaluating weight of animal during movement |
| CN114303987A (en) * | 2021-12-02 | 2022-04-12 | 东北农业大学 | RFID tag laying method suitable for sensing livestock movement |
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