CN114793948B - Sow oestrus intelligent management system - Google Patents
Sow oestrus intelligent management system Download PDFInfo
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- CN114793948B CN114793948B CN202210506343.XA CN202210506343A CN114793948B CN 114793948 B CN114793948 B CN 114793948B CN 202210506343 A CN202210506343 A CN 202210506343A CN 114793948 B CN114793948 B CN 114793948B
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- 230000012173 estrus Effects 0.000 title claims abstract description 96
- 238000012544 monitoring process Methods 0.000 claims abstract description 55
- 230000036760 body temperature Effects 0.000 claims abstract description 38
- 230000000737 periodic effect Effects 0.000 claims abstract description 19
- 238000000034 method Methods 0.000 claims abstract description 12
- 238000012545 processing Methods 0.000 claims abstract description 6
- 238000003860 storage Methods 0.000 claims abstract description 5
- 230000003247 decreasing effect Effects 0.000 claims description 7
- 238000007726 management method Methods 0.000 description 10
- 230000000630 rising effect Effects 0.000 description 6
- 230000009286 beneficial effect Effects 0.000 description 5
- 230000001174 ascending effect Effects 0.000 description 2
- 235000021050 feed intake Nutrition 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 208000031636 Body Temperature Changes Diseases 0.000 description 1
- 241000282887 Suidae Species 0.000 description 1
- 206010000210 abortion Diseases 0.000 description 1
- 231100000176 abortion Toxicity 0.000 description 1
- 238000009395 breeding Methods 0.000 description 1
- 230000001488 breeding effect Effects 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 210000004246 corpus luteum Anatomy 0.000 description 1
- 230000003111 delayed effect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 230000013011 mating Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000003062 neural network model Methods 0.000 description 1
- 230000002611 ovarian Effects 0.000 description 1
- 238000009597 pregnancy test Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 208000024891 symptom Diseases 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
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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
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
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- General Physics & Mathematics (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
- Investigating Or Analyzing Materials Using Thermal Means (AREA)
Abstract
The invention relates to the technical field of sow management. In order to solve the problem that the accuracy of the judgment result of the existing intelligent oestrus monitoring system is low, the intelligent oestrus management system for the sows is provided. The system comprises a monitoring module, a control module and a control module, wherein the monitoring module is used for monitoring the body surface temperature and the night movement amount of a target sow; the storage module is used for storing data and pre-storing basic data of the target sow; the control module is used for controlling the monitoring module to monitor from the weaning day; the processing module is used for acquiring the body surface temperature and the night exercise amount and processing to obtain the basic body temperature, the basic night exercise amount, the periodic average body temperature and the periodic night exercise amount; the judging module is used for judging whether the body surface temperature continuously rises and a falling inflection point appears and whether the night exercise quantity rises; judging whether the current period is in the expected estrus or not when judging that the body surface temperature has a declining inflection point and the night exercise quantity rises; and the early warning module is used for: the method is used for sending oestrus early warning or manual intervention early warning.
Description
Technical Field
The invention relates to the technical field of sow management, in particular to an intelligent sow oestrus management system.
Background
At present, most pig raising enterprises mainly identify whether sows are in oestrus or not in a manual oestrus checking mode. The method consumes a large amount of manpower, has high technical and experience requirements for technicians in order to ensure the accuracy of the identification result, and is easy to cause delayed time of checking, unable to timely find oestrus of the sow, influence the oestrus conception rate and reduce the production efficiency due to the arrangement of the production flow.
Along with the continuous development of scientific technology, a series of intelligent monitoring systems aiming at sow oestrus are developed in the market, and key sign parameters of the sow and a neural network model of oestrus probability, such as body temperature, motion quantity, feed intake and the like, are established through intelligent monitoring, so that whether the sow oestrus occurs or not is intelligently judged. By adopting the mode, although the technical problems of manpower waste and incapability of timely finding oestrus can be overcome, a plurality of misjudgments exist in the intelligent monitoring system in the use process, so that the accuracy of a judging result is not high.
Disclosure of Invention
The invention aims to provide an intelligent management system for sow oestrus, which aims to solve the problem that the accuracy of a judging result is not high due to misjudgment in the existing intelligent oestrus monitoring system.
The basic scheme provided by the invention is as follows: sow intelligence management system that oestrus includes storage module: the system is used for storing data, and also pre-storing basic data of the target sow, wherein the basic data comprise pedigree information, weaning date, expected estrus date and expected estrus period of the target sow;
and a monitoring module: the device is arranged on the target sow and is used for monitoring the body surface temperature and night exercise quantity of the target sow;
and the control module is used for: the monitoring module is used for controlling the monitoring module to monitor from the weaning date of the target sow;
the processing module is used for: the body surface temperature and night movement quantity monitoring module is used for acquiring the body surface temperature and the night movement quantity monitored by the monitoring module. And obtaining basic body temperature and basic night exercise amount according to the body surface temperature and night exercise amount from the weaning day to the expected estrus day of the target sow. Obtaining a periodic average body temperature and a periodic night movement amount according to the body surface temperature of the target sow after the expected estrus day and night movement amount;
and a judging module: and the method is used for comparing the average body temperature of the period after the expected estrus day with the basic body temperature and judging whether the body surface temperature of the target sow continuously rises until a falling inflection point appears. And comparing the expected periodic night movement amount on and after the day of oestrus with the basic night movement amount, and judging whether the periodic night movement amount of the target sow rises. Judging whether the current period is in the expected estrus of the target sow or not when judging that the body surface temperature of the target sow has a decreasing inflection point and the period night exercise quantity rises;
and the early warning module is used for: the system is used for sending oestrus early warning after the judging module judges that the current period is in the expected oestrus period of the target sow; and sending a manual intervention early warning when the current period is judged to be outside the expected estrus of the target sow.
The basic scheme has the beneficial effects that: the applicant has found after analyzing existing intelligent sow oestrus monitoring systems that most intelligent monitoring systems generally compare a plurality of monitored sign data of a target sow with a preset sign data of a sow oestrus period when judging whether the sow oestrus. If the fitting degree of the two is found to be high, the oestrus is judged. However, on the one hand, since individual differences are unavoidable. Therefore, the sign data of different sows in oestrus are inevitably different, and all the sign data cannot be orderly and uniform. Even small differences eventually lead to a decrease in the accuracy of the decision result. On the other hand, in sow oestrus, not all the corresponding physical parameters such as body temperature, exercise amount and feed intake are necessarily changed, or the change amplitude may be different. Therefore, if different sow individuals adopt the same preset model for judgment, and all conditions are met at the same time to judge oestrus, the problem of low accuracy is caused.
Therefore, in the scheme, the physiological phenomenon that the body temperature change before and after the oestrus of the sow is started is in a trend of rising first and then falling later is utilized, the number of times of rising and lying at night in the oestrus period is remarkably increased compared with the number of times of rising and lying at night in the non-oestrus period, the monitoring module is arranged to only collect the body surface temperature and the night movement amount of the target sow, and then the body surface temperature and the night movement amount of the target sow are compared by utilizing the cooperation of the processing module and the judging module. And when the body surface temperature of the target sow is judged to continuously rise for a period of time and then to fall, and the night exercise amount is also increased, the target sow is judged to start oestrus at the moment and early warning is carried out. In the scheme, the limitation existing in some existing intelligent monitoring systems can be eliminated by comparing the physical sign parameter variation trend with the physical sign parameter variation trend of the user, so that the accuracy of oestrus judgment is improved. In the scheme, only representative and well-measured indexes are selected as the sign parameters for judgment, so that the economical efficiency is good.
Further, when the judging module judges whether the body surface temperature of the target sow continuously rises until a descending inflection point appears, the specific steps are as follows: from the estimated estrus date, whether the cycle average body temperature ring ratio is increased or not is judged on the basis of the basic body temperature, when the ring ratio is judged to be increased, whether the body surface temperature in the cycle is continuously increased or not is judged, monitoring is continued after the continuous increase is judged, whether the body surface temperature is decreased or not is judged, and when the body surface temperature is judged to be decreased, a decrease inflection point is judged to be present in the body surface temperature. The beneficial effects are that: the body surface temperature changes before and after the sow oestrus start tend to rise and then fall. Therefore, in the scheme, before the inflection point appears on the body surface temperature, whether the cycle average body temperature between different cycles is in an ascending trend is judged. After determining that there is an increasing trend with respect to the cycle average body temperature, it is also determined whether the body surface temperature in the cycle continues to increase until a decrease occurs. The body surface temperature change condition of the target sow is confirmed through comprehensive judgment of the two ascending trends, and the accuracy of the judgment result is further improved.
Further, estrus is expected to be the 3 rd day after weaning. The beneficial effects are that: in general, the ovarian corpus luteum rapidly degenerates after weaning in normal sows, and follicles begin to develop and begin to develop oestrus by day 3 to day 5. Therefore, in the scheme, the 3 rd day of the possible estrus symptom is used as the predicted estrus day for monitoring, the condition of missing monitoring data can be avoided, and the accuracy of the judging result is ensured.
Further, estrus is expected to be 3 to 10 days after weaning of the target sow. The beneficial effects are that: considering that normal sows begin to develop oestrus on days 3-5 after weaning, the sows can be bred next. Therefore, if the sow still has oestrus within 10 days after weaning, the sow should be subjected to timely manual intervention to induce oestrus, so that the best mating time is avoided being missed, and the breeding efficiency of the target sow is further improved.
Further, the monitoring module monitors the night exercise quantity of the target sow with a monitoring period of 18:00 of the same day to 6:00 of the same day. The beneficial effects are that: in the scheme, the monitoring period of the night exercise amount is preset to be within the period of 18:00 of the day to 6:00 of the next day, namely, only the night exercise amount from 6 pm to 6 am of the next day is extracted in the scheme, so that the artificial interference in the daytime, such as feeding, excrement cleaning, condition searching and the like, can be eliminated, and the accuracy of the judging result is further improved.
Drawings
Fig. 1 is a block diagram of an embodiment of the intelligent sow estrus management system of the present invention;
fig. 2 is a flow chart of an embodiment of the intelligent management system for oestrus in sows of the present invention.
Detailed Description
The following is a further detailed description of the embodiments:
an example is substantially as shown in figures 1 and 2: sow intelligence management system that oestrus includes storage module: the system is used for storing data, and also pre-storing basic data of the target sow, wherein the basic data comprise pedigree information, weaning date, expected estrus date and expected estrus period of the target sow. The weaning date is updated in real time by a manager, the predicted estrus is the 3 rd day after weaning, and the predicted estrus is the 3 rd to 10 th day after weaning.
And the control module is used for: the monitoring module is used for controlling the monitoring module to monitor from the weaning date of the target sow;
and a monitoring module: the device is arranged on the target sow and is used for monitoring the body surface temperature and the night exercise amount of the target sow. In the embodiment, the monitoring module is an intelligent ear tag arranged on the body of the target sow, the monitored body surface temperature is the body surface temperature of the target sow, and the monitored night exercise amount is the night exercise amount of the target sow; the monitored data is stored in the memory module.
The processing module is used for: the body surface temperature and night movement quantity monitoring module is used for acquiring the body surface temperature and the night movement quantity monitored by the monitoring module. And obtaining basic body temperature and basic night exercise amount according to the body surface temperature and night exercise amount from the weaning day to the expected estrus day of the target sow. Obtaining a periodic average body temperature and a periodic night movement amount according to the body surface temperature of the target sow after the expected estrus day and night movement amount; the obtained data are stored in a storage module;
and a judging module: and the method is used for comparing the average body temperature of the period after the expected estrus day with the basic body temperature and judging whether the body surface temperature of the target sow continuously rises until a falling inflection point appears. And comparing the expected periodic night movement amount on and after the day of oestrus with the basic night movement amount, and judging whether the periodic night movement amount of the target sow rises. And judging whether the current period is in the expected estrus of the target sow or not when judging that the body surface temperature of the target sow has a decreasing inflection point and the period night exercise quantity rises. Judging that the body surface temperature of the target sow has an inflection point, and specifically, the method comprises the following steps: from the expected estrus date, it is determined whether the cycle average body temperature has risen in the cycle average body temperature on the basis of the basal body temperature. When the ring ratio is determined to be rising, it is determined whether the body surface temperature in the cycle is continuously rising. After the continuous rise is determined, monitoring is continued, whether the body surface temperature is lowered is determined, and when the body surface temperature is determined to be lowered, the body surface temperature is determined to be lowered.
And the early warning module is used for: and the judgment module is used for sending oestrus early warning when judging that the current period is in the expected oestrus period of the target sow. And sending a manual intervention early warning when the current period is judged to be out of the expected estrus of the target sow.
In order to eliminate the interference of the daytime, in the embodiment, the monitoring period for monitoring the night movement amount of the target sow is 18:00 of the day to 6:00 of the next day.
The specific implementation process is as follows: as shown in fig. 2, after the intelligent ear tag is arranged on the target sow, the intelligent ear tag is used as a monitoring module. The control module controls the monitoring module to start monitoring the body surface temperature and the night exercise amount of the target sow before the current day after the target sow weans to the 3 rd day, namely the weaning current day, the 1 st day after weaning and the 2 nd day after weaning, and then obtains the basic body temperature according to the monitored body surface temperature data. During monitoring, the intelligent ear tag is set to monitor every ten minutes by taking 12 hours as a period. The basic body temperature is the average body temperature in a period. And obtaining the basic night exercise amount according to the monitored night exercise amount data. During monitoring, the night exercise amount in the period of 18:00 of the day to 6:00 of the next day is monitored as the night exercise amount of the day, and the average night exercise amount per day is taken as the basic night exercise amount.
Starting from the 3 rd day of weaning, the control module controls the monitoring module to monitor the body surface temperature of the target sow every ten minutes with 12 hours as a period to obtain the period average body temperature. On the basis of the basic body temperature, whether the cycle average body temperature ring ratio is increased or not is judged, and if the ring ratio is not increased, monitoring is continued for a cycle of 12 hours. If the ring ratio is judged to rise, the body surface temperature of the target sow is monitored every ten minutes with one hour as a period, and whether the average body temperature rises for 12 times continuously is judged. If not, continuing to monitor the body surface temperature of the target sow every hour for one period, if so, continuing to monitor the body surface temperature of the target sow every ten minutes for one period to obtain a new period average body temperature, and judging whether the period average body temperature is reduced. If the temperature is not reduced, the monitoring is still carried out continuously with the hour as a period, and if the temperature is reduced, the inflection point of the body surface temperature is judged.
Meanwhile, the control module also controls the monitoring module to monitor the night exercise amount of the target sow in the period of 18:00 of the current day to 6:00 of the next day to obtain the periodic night exercise amount, and whether the periodic night exercise amount rises is judged on the basis of the basic night exercise amount. If the night exercise amount is not increased, the night exercise amount is continuously monitored within the period of 18:00 of the current day to 6:00 of the next day. If rising occurs, comprehensive research is needed to judge whether the body surface temperature in the same period has a falling inflection point. If the body surface temperature has a decreasing inflection point and the periodic night movement quantity does not rise, the monitoring is continued. If the body surface temperature has a decreasing inflection point and the periodic night movement amount increases, the next determination is made. And judging whether the current period is within 3-10 days after weaning of the target sow. If the time is within 3-10 days after weaning, the oestrus early warning is sent at the moment. If the time is not within the 3 rd to 10 th days after weaning, the early warning module sends a manual intervention early warning to remind the user to perform manual intervention in time, so that the target sow can be guaranteed to successfully oestrus.
In order to verify the judgment accuracy of the intelligent management method for oestrus of the sow disclosed in the embodiment, an experiment is performed in a manual oestrus checking mode in the embodiment.
Specifically, the oestrus time is determined by using the method and the artificial oestrus checking method simultaneously after the selected multi-headed sow weans, and in the experimental process, the detected pigs which fail to normally oestrus, abortion, oestrus return, negative B-ultrasonic pregnancy test and the like are removed, and the experimental results are as follows.
| Experimental results | Intelligent monitoring of oestrus only | Simultaneous detection of oestrus | Monitoring of starting conditions by manual investigation |
| Quantity (head) | 5 | 3 | 1 |
The experimental results show that the sow oestrus management method disclosed in the embodiment is effective, and the accuracy of sow oestrus identification can be improved.
The foregoing is merely an embodiment of the present invention, and a specific structure and characteristics of common knowledge in the art, which are well known in the scheme, are not described herein, so that a person of ordinary skill in the art knows all the prior art in the application day or before the priority date of the present invention, and can know all the prior art in the field, and have the capability of applying the conventional experimental means before the date, so that a person of ordinary skill in the art can complete and implement the present embodiment in combination with his own capability in the light of the present application, and some typical known structures or known methods should not be an obstacle for a person of ordinary skill in the art to implement the present application. It should be noted that modifications and improvements can be made by those skilled in the art without departing from the structure of the present invention, and these should also be considered as the scope of the present invention, which does not affect the effect of the implementation of the present invention and the utility of the patent. The protection scope of the present application shall be subject to the content of the claims, and the description of the specific embodiments and the like in the specification can be used for explaining the content of the claims.
Claims (4)
1. Sow intelligence management system that oestrus, its characterized in that: the device comprises a storage module: the system comprises a target sow, a target sow management system and a target sow management system, wherein the target sow management system is used for storing data and pre-storing basic data of the target sow, wherein the basic data comprise pedigree information, weaning date, expected estrus date and expected estrus of the target sow;
and a monitoring module: the device is arranged on the target sow and is used for monitoring the body surface temperature and night exercise quantity of the target sow;
and the control module is used for: the monitoring module is used for controlling the monitoring module to monitor from the weaning date of the target sow;
the processing module is used for: the body surface temperature and the night movement quantity which are monitored by the monitoring module are obtained, the basic body temperature and the basic night movement quantity are obtained according to the body surface temperature and the night movement quantity from the weaning day to the predicted oestrus day of the target sow, and the periodic average body temperature and the periodic night movement quantity are obtained according to the body surface temperature and the night movement quantity of the target sow after the predicted oestrus day and the predicted oestrus day;
and a judging module: the method comprises the steps of comparing the average periodic body temperature of the expected estrus day and later with a basic body temperature, judging whether the body surface temperature of a target sow continuously rises until a falling inflection point appears, comparing the periodic night movement amount of the expected estrus day and later with the basic night movement amount, and judging whether the periodic night movement amount of the target sow rises; judging whether the current period is in the expected estrus of the target sow or not when judging that the body surface temperature of the target sow has a decreasing inflection point and the period night exercise quantity rises; the judging module judges whether the body surface temperature of the target sow continuously rises until a descending inflection point appears, and specifically comprises the following steps: starting from the expected estrus day, judging whether the cycle average body temperature ring ratio rises or not on the basis of the basic body temperature, judging whether the body surface temperature in the cycle continuously rises or not when the cycle average body temperature ring ratio rises, continuously monitoring after the cycle average body temperature ring ratio is judged to continuously rise, judging whether the cycle average body temperature ring ratio falls or not, and judging that the body surface temperature has a falling inflection point when the cycle average body temperature ring ratio is judged to fall;
and the early warning module is used for: the system is used for sending oestrus early warning after the judging module judges that the current period is in the expected oestrus period of the target sow; and sending a manual intervention early warning when the current period is judged to be outside the expected estrus of the target sow.
2. The sow estrus intelligent management system according to claim 1, wherein: the predicted oestrus day is post-weaning day 3.
3. The sow estrus intelligent management system according to claim 2, wherein: the predicted estrus is 3-10 days after weaning of the target sow.
4. A sow estrus intelligent management system according to claim 3, wherein: the monitoring module monitors the night exercise quantity of the target sow, and the monitoring period is 18:00 of the current day to 6:00 of the next day.
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| CN113711944A (en) * | 2021-08-27 | 2021-11-30 | 河南牧原智能科技有限公司 | Sow oestrus identification method, device and system |
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- 2022-05-10 CN CN202210506343.XA patent/CN114793948B/en active Active
Patent Citations (5)
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| CN106818532A (en) * | 2017-01-23 | 2017-06-13 | 中国农业大学 | A kind of cow oestrus identification systems and authentication method |
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