CN117281062A - Safety control system for milking cows for livestock - Google Patents
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Abstract
The invention discloses a dairy cow milking safety control system for livestock, which belongs to the technical field of dairy cow milking safety control, and comprises: the cloud service area management system comprises at least one user side and a management side, wherein the user side and the management side are both connected with the cloud service area; the management end comprises a storage module, a monitoring module and a checking module; the storage module is used for inputting and storing basic information of each dairy cow; the monitoring module is connected with the storage module and used for monitoring and storing the physical condition of the dairy cows; the invention can divide the physical condition grade of the dairy cows; the monitoring module can discover the inflammation of the dairy cow earlier before milking, which is beneficial to early recovery of the inflammatory dairy cow and ensures the milking safety of the dairy cow; the recovery time of the inflammatory dairy cows can be predicted, the situation that the recovery time estimated by traditional people is inaccurate is avoided, the detection times of the dairy cows in the recovery process can be reduced, and the probability of simultaneous infection of multiple dairy cows can be reduced.
Description
Technical Field
The invention relates to the technical field of dairy cow milking safety control, in particular to a dairy cow milking safety control system for livestock.
Background
Milking cows is an important production process in animal husbandry, in which there are also some safety hazards; in the milking process, the milk cow mastitis and other diseases are caused by improper operation or bacterial infection, or the disinfection is not thorough enough when the staff disinfects the milk cow, and the milking safety of the milk cow is easily influenced.
For example, the patent number CN102841594A discloses an invention of a dairy cow production performance measurement software and hardware integrated intelligent management and control system, which comprises a milk sample intelligent acquisition system, a milk sample water bath system, a milk sample transmission system, an automatic control system, a milk sample cleaning system, a data processing system and a dairy cow performance evaluation system; the intelligent milk sample collection system is connected with the milk sample water bath system through the milk sample transmission system, the milk sample water bath system is connected with the milk sample cleaning system through the milk sample transmission system, the milk sample transmission system is connected with the data processing system, the data processing system is connected with the dairy cow performance evaluation system, and the automatic control system is connected with the milk sample transmission system.
However, the above-described invention merely measures the milk sample after milking, and cannot detect the milk cow before milking in a timely manner, and the above-described invention also makes it inconvenient to predict the recovery time of the inflamed milk cow.
For this purpose we propose a safety control system for milking cows for livestock to solve the above problems.
Disclosure of Invention
The invention aims to provide a safety control system for milking cows for livestock, which is used for solving the problems in the background art.
In order to achieve the above purpose, the present invention provides the following technical solutions: a safety management and control system for milking cows for herding, comprising: the cloud service area management system comprises at least one user side and a management side, wherein the user side and the management side are both connected with the cloud service area;
the management end comprises a storage module, a monitoring module and a checking module;
the storage module is used for inputting and storing basic information of each dairy cow;
the monitoring module is connected with the storage module and used for monitoring and storing the physical condition of the dairy cows and determining the inflammation types of the dairy cows according to the inflammation characteristics;
the detection module is connected with the monitoring module and used for carrying out safety detection on milk extruded by the dairy cows;
the daily feeding and raising area of the dairy cows is marked as a daily living area of the dairy cows, the cleaning and drying links of the dairy cows are marked as a cleaning area of the dairy cows, and the area of the dairy cows for treating inflammation is marked as a treatment area of the dairy cows.
Preferably, the storage module comprises an ear tag arranged on the ear of the dairy cow, basic information of the dairy cow is recorded in the ear tag, the basic information of the dairy cow comprises month age, body temperature and body temperature records of the dairy cow, inflammation frequency records, inflammation type records, delivery time, last milking time, milking frequency, milking quantity, position of a house where the dairy cow is located and physical condition grade of the dairy cow, and a positioning chip is further arranged in the ear tag and in signal connection with the monitoring module, wherein the ear tag on each dairy cow is unique and corresponds to the dairy cow;
the step of recording the milking amount of the dairy cows comprises the following steps:
a1, recording the secondary milking quantity of each dairy cow;
a2, generating a curve of the secondary milking quantity of each dairy cow, and obtaining the average secondary milking quantity of each dairy cow;
a3, obtaining the highest milking quantity and the lowest milking quantity of each dairy cow;
a4, feeding the dairy cows back to staff when the dairy cows exceed the highest milking amount and the lowest milking amount;
if the dairy cow has no inflammation characteristics in the monitoring module and the body temperature is normal, and the secondary milking quantity is still abnormal, calculating the probability of inflammation of the staff and the dairy cow; if the probability is smaller than the conventional value, the operation of the staff is considered to be normal; if the probability is greater than the conventional value, the operation of the staff member is considered to be possibly risky; the past operation behaviors of the staff are called out and analyzed, and whether the operation of the staff has irregular missing behaviors or not is analyzed, wherein the past operation comprises the disinfection operation of the staff and the mounting operation of the milk cup.
Preferably, in the storage module, the step of determining the physical condition grade of the dairy cow includes:
b1, dividing the physical condition and the like of the dairy cows into the following steps: superior, good, general, inferior;
b2, acquiring the physical condition value of the dairy cow through a calculation formula of the physical condition value of the dairy cow;
b3, the calculation formula of the cow physical condition value is as follows:
wherein: n is the ear mark of the dairy cow, zk n For the milk cow body condition value with the ear mark n,average number of days of inflammation for all milking cows, d n Day of inflammation for cows with ear number n, < >>For the average daily single milking volume of all milking cows,an average daily single milking amount for the cows with ear number n;
b4, when zk n When X, the value is superior; when X > zk n When the temperature is not less than Y, the method is good; when Y > zk n When the temperature is not less than Z, the temperature is not less than Z; when Z > zk n When the ratio is more than or equal to W, the ratio is inferior; when W > zk n When R is not less than R, the compound is inferior; and X > Y > Z > W > R, Z andthe values are the same;
b5, zk n The corresponding physical condition level is stored in the corresponding cow ear tag.
Preferably, in the monitoring module, based on a plurality of monitoring devices installed around the milking area of the cow in the monitoring module, the plurality of monitoring devices shoot the rear part of the cow body, the cow breast, the cow nipple and the limb hoof of the cow;
the step of extracting the inflammation characteristics of the dairy cows comprises the following steps:
c1, acquiring a health picture of a certain part of a dairy cow, and marking the health picture as a health parameter picture; acquiring an inflammation picture of a certain part of a dairy cow, marking the inflammation picture as an inflammation parameter picture, and marking the inflammation parameter picture changing along with the days as a day-by-day inflammation parameter picture;
c2, marking the difference between the day-by-day inflammation parameter chart and the health parameter chart;
c3, marking a picture with inflection points in the inflammation range and the inflammation degree as an inflection point picture, and determining a region with larger difference in comparison between the inflection point picture and the health reference picture as a cow inflammation characteristic;
in the comparison of the day-by-day inflammation parameter map and the health parameter map and the inflection point map and the health parameter map, the pixel point change comprises the pixel point gray value change and the pixel point range change, and the position range of cow inflammation is locked.
Preferably, the degree and the range of inflammation of the predetermined class of inflammatory cows are gradually increased with the number of days, and the degree and the range of inflammation of the predetermined class of inflammatory cows are gradually reduced after the administration of the treatment, and then,
the change with days gives a standard function curve of the degree of inflammation: f (x) =ax 2 +bx，
The change with days yields a standard function curve of the inflammatory range: g (x) =cx 2 +ex，
Wherein: a. b, c and e are constants, a is less than 0, b is less than 0, the specific day of x value can be obtained according to any one of the inflammation degree and the inflammation range, and the other day is obtained according to the x value (corresponding to the specific day);
the inflection point of the inflammation degree is For x value corresponding to inflection point, +.>The degree of inflammation corresponding to the value of x;
inflection point of inflammation range For x value corresponding to inflection point, +.>The inflammatory range corresponds to the x value.
Preferably, the step of determining the inflammatory species of the cows comprises:
d1, comparing the photo of the current longicorn body area of the dairy cow with the photo of the past cattle body area, when the comparison result of the photo of the current longicorn body area of the dairy cow and the photo of the past cattle body area is 98% or more, and the quality of the past milk is in a normal range, determining that the body of the dairy cow is normal, and when the comparison result of the photo of the current longicorn body area of the dairy cow and the photo of the past cattle body area of the dairy cow is 98% or less, determining that the body of the dairy cow is possibly abnormal, and marking the photo with the abnormality as an abnormal photo;
d2, comparing the abnormal photo with the characteristic pictures of the cow inflammation in the cow inflammation library, and when the degree of identity of the abnormal photo and the characteristic pictures is 60% or more, matching the abnormal photo to the corresponding cow inflammation type, wherein the abnormal photo corresponds to a cow ear tag, preliminarily recognizing that the cow corresponding to the abnormal photo possibly has inflammation, and marking the cow as a suspicious cow;
d3, calling out the detection result of the past milk of the suspected cow, if abnormality exists, considering the suspected cow as an inflammatory cow, and if abnormality does not exist and multiple similar conditions exist, re-extracting the inflammatory characteristics of the cow;
the establishment of the cow inflammation library comprises the steps of obtaining known cow inflammation types and matching a plurality of extracted cow inflammation characteristics to the corresponding cow inflammation types.
Preferably, the management end further comprises a prediction module, wherein the prediction module is used for predicting recovery time of the inflammatory dairy cows;
the step of predicting the recovery time of the inflammatory dairy cows comprises the following steps:
e1, determining the type of cow inflammation according to the cow current inflammation photograph, and calculating the inflammation range of the cow current inflammation photograph;
e2, according to a standard function curve corresponding to the inflammatory range: g (x) =cx 2 +ex, calculating the number of days corresponding to cow inflammation;
e3, taking photos of the dairy cows at a certain number of days before the current inflammation photo, determining whether an inflection point picture appears, selecting the number of days after the inflection point of the standard function if the inflection point picture appears, and selecting the number of days before the inflection point of the standard function if the inflection point picture does not appear;
and E4, predicting the recovery time of the dairy cows according to the determined corresponding days.
Preferably, the test module comprises performing CMT detection or milk somatic cell content detection on milk after the third milk cow;
wherein, CMT detects as: performing CMT detection on milk after the third milk cow, and judging the CMT detection result and standard test paper; the content of the milk somatic cells is detected as follows: detecting milk after the third milk cow through milk somatic cell detection equipment, and judging according to the cell content of the detection result;
through detecting the milk behind the milk cow third, can obtain the testing result of milk, mark and send signal to alarm module to the milk cow that the milk that testing result is unusual corresponds, stop not passing the milk cow that CMT detects or milk somatic cell content detects corresponds and milks, ensure that the milk cow that milks is safe milk cow.
Preferably, the management end further comprises an alarm module, and the alarm module is connected with the storage module, the monitoring module, the inspection module and the prediction module; the alarm module is used for sending the cow ear tag with abnormality and possibly with abnormality and reminding the staff;
the reminding of the alarm module comprises vibration and sound prompt, when the alarm module receives one of the body health abnormality and milk abnormality of the dairy cows, the dairy cows are moved to a dairy cow treatment area for treatment until recovery, and meanwhile, the corresponding houses of the living areas of the dairy cows are disinfected;
when the ear tag acquires abnormal body temperature of the dairy cow, the storage module sends a signal to the alarm module, the alarm module reminds on a staff on the current day of the user side, and the ear tag information of the dairy cow with inferior and inferior physical condition levels is sent to the alarm module;
in the monitoring module, when the monitoring module extracts inflammation characteristics of the dairy cows, ear tags and coordinates corresponding to the dairy cows are sent to the alarm module through signals, the alarm module reminds current-day value staff at a user side, and after the suspicious dairy cows are subjected to inflammation confirmation by adopting milk somatic cell content detection, the dairy cows are moved to a treatment area for symptomatic treatment after confirmation;
in the inspection module, a cow ear tag with abnormal CMT detection or abnormal milk somatic cell content detection and coordinates thereof are sent to an alarm module through signals, and the alarm module reminds current value staff of a user side;
and in the prediction module, the predicted safe recovery time of the milking of the dairy cows is sent to the alarm module, so that workers on the same day are reminded to timely move the dairy cows out of the treatment area.
Preferably, the safety control method for milking cows for livestock is characterized by comprising the following steps:
s1, inputting and storing basic information of each dairy cow;
s2, monitoring and storing the physical condition of the dairy cows, and determining the inflammation type of the dairy cows according to the inflammation characteristics;
s3, cleaning and drying the dairy cows, and disinfecting body parts of the dairy cows, milking equipment of the dairy cows and staff related to milking before milking;
s4, discarding the first three milk products of the dairy cows, and performing CMT detection or milk somatic cell content detection on the milk after the third milk product;
s5, stopping milking of the cows corresponding to milk which does not pass through CMT detection or milk somatic cell content detection, and ensuring that the milked cows are safe cows.
Compared with the prior art, the invention has the beneficial effects that:
1. basic information of cows is input and stored through a storage module, and the physical condition grades of the cows are divided, so that the earmark information of the cows in inferior and inferior states can be sent to an alarm module, and a daily value worker is reminded, so that the worker can conveniently check follow-up milk of the cows in inferior and inferior states and can clearly recognize the physical condition of the cows;
2. the monitoring module is used for extracting the cow inflammation characteristics, inputting the cow inflammation characteristics into the cow inflammation library to determine cow inflammation types, so that cow inflammation can be monitored in time, and the probability of simultaneous infection of multiple cows is reduced; the health of the dairy cows can be effectively monitored, the milking safety of the dairy cows is ensured, and the safe milk is obtained; the inflammation of the dairy cows can be found earlier before milking, which is beneficial to early recovery of the dairy cows with inflammation and reduces the workload of workers for observing whether the dairy cows are healthy;
3. the detection module is used for detecting CMT (milk temperature control) or detecting the content of the somatic cells of the milk, marking the milk cow corresponding to the milk with abnormal detection results and sending a signal to the alarm module, and stopping milking the milk cow corresponding to the milk which does not pass through the CMT or the content detection of the somatic cells of the milk, so that the extruded milk can be ensured to be safe milk;
4. the number of days that the dairy cows are in inflammation can be obtained through the prediction module, the recovery time of the dairy cows is predicted, the situation that the traditional artificial estimated recovery time is inaccurate is avoided, the detection times of the dairy cows in the recovery process can be reduced, the workload of staff is reduced, and certain cost is saved;
5. the alarm module can timely feed back earmarks and coordinates of suspected cows and the cows with inflammation to staff, so that the staff can confirm the suspected cows and move the cows with inflammation to a treatment area, the probability of simultaneous infection of multiple cows is reduced, the health of the cows can be facilitated, and the milking amount of the cows is stable.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a block diagram of a system architecture of the present invention;
fig. 2 is a flow chart of a safety control method for milking cows according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
With reference to fig. 1 and 2, a further explanation is provided for a safety control system for milking cows for livestock according to the present invention:
a safety management and control system for milking cows for herding, comprising: the cloud service area comprises at least one user side and a management side, wherein the user side and the management side are both connected with the cloud service area; the management end comprises a storage module, a monitoring module and a checking module; the storage module is used for inputting and storing basic information of each dairy cow;
the storage module comprises earmarks arranged on the ears of the dairy cows, basic information of the dairy cows is recorded in the earmarks, the basic information of the dairy cows comprises month age, body temperature and body temperature records of the dairy cows, inflammation times records, inflammation types records, delivery time, last milking time, milking times, milking amount, the position of a house where the dairy cows are positioned and the physical condition grade of the dairy cows, and positioning chips are further arranged in the earmarks and are in signal connection with the monitoring module, wherein each earmark on each dairy cow is unique and corresponds to the dairy cow;
a step of recording the milking amount of a cow, comprising:
a1, recording the secondary milking quantity of each dairy cow;
a2, generating a curve of the secondary milking quantity of each dairy cow, and obtaining the average secondary milking quantity of each dairy cow;
a3, obtaining the highest milking quantity and the lowest milking quantity of each dairy cow;
a4, feeding the dairy cows back to staff when the dairy cows exceed the highest milking amount and the lowest milking amount;
if the dairy cow has no inflammation characteristics in the monitoring module and the body temperature is normal, and the secondary milking quantity is still abnormal, calculating the probability of inflammation of the staff and the dairy cow; if the probability is smaller than the conventional value, the operation of the staff is considered to be normal; if the probability is greater than the conventional value, the operation of the staff member is considered to be possibly risky; the past operation behaviors of the staff are called out and analyzed, and whether the operation of the staff has irregular missing behaviors or not is analyzed, wherein the past operation comprises the disinfection operation of the staff and the mounting operation of the milk cup;
in the storage module, the step of determining the cow physical condition grade comprises the following steps:
b1, dividing the physical condition and the like of the dairy cows into the following steps: superior, good, general, inferior;
b2, acquiring the physical condition value of the dairy cow through a calculation formula of the physical condition value of the dairy cow;
b3, the calculation formula of the cow physical condition value is as follows:
wherein: n is the ear mark of the dairy cow, zk n For the milk cow body condition value with the ear mark n,average number of days of inflammation for all milking cows, d n Day of inflammation for cows with ear number n, < >>For the average daily single milking quantity of all milking cows +.>An average daily single milking amount for the cows with ear number n;
b4, when zk n When X, the value is superior; when X > zk n When the temperature is not less than Y, the method is good; when Y > zk n When the temperature is not less than Z, the temperature is not less than Z; when Z > zk n When the ratio is more than or equal to W, the ratio is inferior; when W > zk n When R is not less than R, the compound is inferior; and X > Y > Z > W > R, Z andthe values are the same;
b5, zk n The corresponding physical condition level is stored in the corresponding cow ear tag.
In practical application, the basic information of the dairy cows is recorded and stored through the storage module and the physical condition grades of the dairy cows are divided, and the information of the dairy cow earmarks which are inferior and inferior can be sent to the alarm module, so that the daily value staff can be reminded, the follow-up milk inspection of the dairy cows which are inferior and inferior can be conveniently carried out by the staff, and the physical condition of the dairy cows can be clearly perceived.
Example two
With reference to fig. 1, a further explanation is provided for a safety control system for milking cows for livestock according to the present invention:
the monitoring module is connected with the storage module and used for monitoring and storing the physical condition of the dairy cows and determining the inflammation types of the dairy cows according to the inflammation characteristics; in the monitoring module, based on a plurality of monitoring devices installed around a milking area of the dairy cows in the monitoring module, the plurality of monitoring devices shoot the rear parts of the dairy cows, the breasts, the nipples and the limb hooves;
the step of extracting the cow inflammation characteristics (sequentially obtaining corresponding cow inflammation characteristics for different cow inflammation types) comprises the steps of:
c1, acquiring a health picture of a certain part of a dairy cow, and marking the health picture as a health parameter picture; acquiring an inflammation picture of a certain part of a dairy cow, marking the inflammation picture as an inflammation parameter picture, and marking the inflammation parameter picture changing along with the days as a day-by-day inflammation parameter picture;
c2, marking the difference between the day-by-day inflammation parameter chart and the health parameter chart;
c3, marking a picture with inflection points in the inflammation range and the inflammation degree as an inflection point picture, and determining a region with larger difference in comparison between the inflection point picture and the health reference picture as a cow inflammation characteristic;
in the comparison of the day-by-day inflammation parameter map and the health parameter map and the inflection point picture and the health parameter map, the position range of cow inflammation is locked through the pixel point change of the inflammation parameter map, wherein the pixel point change comprises the pixel point gray value change and the pixel point range change;
under the same inflammation type of the dairy cows, the inflammation degree and the inflammation range of the dairy cows with inflammation of a certain type are preset to be gradually increased along with the change of days, and the inflammation degree and the inflammation range of the dairy cows after the dairy cows are treated and used for being gradually reduced, then,
a standard function curve of the degree of inflammation was obtained as a function of the number of days: f (x) =ax 2 +bx，
A standard function curve of the inflammatory range was obtained as a function of the number of days: g (x) =cx 2 +ex，
Wherein: a. b, c and e are constants, a is less than 0, b is less than 0, the specific day of x value can be obtained according to any one of the inflammation degree and the inflammation range, and the other day is obtained according to the x value (corresponding to the specific day);
the inflection point of the inflammation degree is For x value corresponding to inflection point, +.>The degree of inflammation corresponding to the value of x;
inflection point of inflammation range For x value corresponding to inflection point, +.>The inflammatory range corresponds to the x value.
A step of determining the inflammatory species of a cow comprising:
d1, comparing the photo of the current longicorn body area of the dairy cow with the photo of the past cattle body area, when the comparison result of the photo of the current longicorn body area of the dairy cow and the photo of the past cattle body area is 98% or more, and the quality of the past milk is in a normal range, determining that the body of the dairy cow is normal, and when the comparison result of the photo of the current longicorn body area of the dairy cow and the photo of the past cattle body area of the dairy cow is 98% or less, determining that the body of the dairy cow is possibly abnormal, and marking the photo with the abnormality as an abnormal photo;
d2, comparing the abnormal photo with the characteristic pictures of the cow inflammation in the cow inflammation library, and when the degree of identity of the abnormal photo and the characteristic pictures is 60% or more, matching the abnormal photo to the corresponding cow inflammation type, wherein the abnormal photo corresponds to a cow ear tag, preliminarily recognizing that the cow corresponding to the abnormal photo possibly has inflammation, and marking the cow as a suspicious cow;
d3, calling out the detection result of the past milk of the suspected cow, if abnormality exists, considering the suspected cow as an inflammatory cow, and if abnormality does not exist and multiple similar conditions exist, re-extracting the inflammatory characteristics of the cow;
the method comprises the steps of establishing a cow inflammation library, namely acquiring known cow inflammation types, and matching a plurality of extracted cow inflammation characteristics to the corresponding cow inflammation types.
In practical application, the monitoring module is used for extracting the cow inflammation characteristics, inputting the cow inflammation characteristics into a cow inflammation library to determine cow inflammation types, so that cow inflammation can be monitored in time, and the probability of simultaneous infection of multiple cows is reduced; the health of the dairy cows can be effectively monitored, the milking safety of the dairy cows is ensured, and the safe milk is obtained; can discover the inflammation of the dairy cows earlier before milking, is beneficial to early recovery of the dairy cows with inflammation, and reduces the workload of workers for observing whether the dairy cows are healthy.
Example III
With reference to fig. 1, a further explanation is provided for a safety control system for milking cows for livestock according to the present invention:
the detection module is connected with the monitoring module and used for carrying out safety detection on milk extruded by the dairy cows;
the inspection module comprises a step of performing CMT detection or milk somatic cell content detection on milk after the third milk cow;
wherein, CMT detects as: the milk after the third step of dairy cows is subjected to CMT detection, and the result of CMT detection and standard test paper are judged; the content of the milk somatic cells is detected as follows: sampling and detecting milk of milking cows, and detecting all batches of milk;
the detection result of the milk can be obtained by detecting the milk after the third milk cow, and the milk cow corresponding to the milk with abnormal detection result is marked and sent to the alarm module.
In practical application, through detecting CMT of milk or milk somatic cell content detection, can send the signal to alarm module and then remind the staff when testing for the result is unusual, stop not passing the milk that CMT detects or milk somatic cell content detects and corresponding milk cow milking to can ensure that the milk of extruding is safe milk.
Example IV
With reference to fig. 1, a further explanation is provided for a safety control system for milking cows for livestock according to the present invention:
the management end also comprises a prediction module, wherein the prediction module is used for predicting the recovery time of the inflammatory dairy cows;
a step of predicting recovery time of an inflammatory cow, comprising:
e1, determining the type of cow inflammation according to the cow current inflammation photograph, and calculating the inflammation range of the cow current inflammation photograph;
e2, according to a standard function curve corresponding to the inflammatory range: g (x) =cx 2 +ex, calculating the number of days corresponding to cow inflammation;
e3, taking photos of a certain number of days before the current inflammation photo of the dairy cow, calculating the change trend of the dairy cow inflammation range according to the dairy cow inflammation photo of a certain number of days before, determining whether an inflection point picture appears, selecting the number of days corresponding to the inflection point of the standard function if the inflection point picture appears, and selecting the number of days corresponding to the inflection point of the standard function if the inflection point picture does not appear;
e4, predicting the recovery time of the dairy cows according to the determined corresponding days;
the inflection point picture is a picture corresponding to the point with the highest inflammation degree and the highest inflammation range in the process that the inflammation degree and the inflammation range of the inflammation dairy cows are changed from ascending to descending after the inflammation dairy cows are treated;
in addition, when the cow inflammation does not reach the corresponding inflection point picture, the cow inflammation range is calculated according to the cow inflammation picture of a certain day before, and the change trend day by day is adopted; if the variation trend of the cow inflammation range is continuously reduced, defaulting to the condition that the cow inflammation range has inflection point pictures, and selecting the corresponding days after the inflection point of the standard function; if the variation trend of the cow inflammation range is continuously reduced, selecting the number of days corresponding to the inflection point of the standard function, and continuing the step E4.
In practical application, can obtain the day that the milk cow is in the inflammation through the above-mentioned content, forecast the recovered time of milk cow, avoided traditional recovered time to carry out the condition that artificial estimation is inaccurate, through predetermined recovered time, can detect the milk cow at the recovered time of prediction, and then reduce its detection number of times of milk cow in the recovered in-process, reduced staff's work load, saved certain cost, in addition, the recovered time of prediction milk cow can also predict the whole number of milking cows on a certain day of follow-up, the average number of milking of all milking cows of rethread, can predict all milking cows on a certain day of follow-up milking amount.
Example five
With reference to fig. 1, a further explanation is provided for a safety control system for milking cows for livestock according to the present invention:
the management end also comprises an alarm module, and the alarm module is connected with the storage module, the monitoring module, the inspection module and the prediction module; the alarm module is used for sending the cow ear tag with abnormality and possibly with abnormality and reminding the staff;
the reminding of the alarm module comprises vibration and sound prompt, when the alarm module receives one of the body health abnormality and milk abnormality of the dairy cows, the dairy cows are moved to a dairy cow treatment area for treatment until recovery, and meanwhile, the corresponding houses of the living area where the dairy cows are located are disinfected;
when the ear tag acquires abnormal body temperature of the dairy cow, the storage module sends a signal to the alarm module, the alarm module reminds on a staff on the current day of the user side, and the ear tag information of the dairy cow with inferior and inferior physical condition levels is sent to the alarm module;
in the monitoring module, when the monitoring module extracts inflammation characteristics of the dairy cows, the corresponding earmarks and coordinates of the dairy cows are sent to the alarm module through signals, the alarm module reminds current-day value staff at the user side, and after the suspicious dairy cows are subjected to inflammation confirmation by adopting milk somatic cell content detection, the dairy cows are moved to a treatment area for symptomatic treatment after confirmation;
in the inspection module, a cow ear tag with abnormal CMT detection or abnormal milk somatic cell content detection and coordinates thereof are sent to the alarm module through signals, and the alarm module reminds a current value staff of a user side;
in the prediction module, the predicted safe recovery time of milking of the dairy cows is sent to the alarm module, and workers are reminded of timely moving the dairy cows out of the treatment area on the same day.
In practical application, alarm module can in time be with suspicious milk cow and have earmark and the coordinate feedback of inflammation milk cow to the staff, and the staff of being convenient for confirms suspicious milk cow and moves the milk cow that has the inflammation to the treatment area, reduces the probability that bull milk cow infects simultaneously, can be favorable to the health of milk cow, makes the milking volume of milk cow stable.
Example six
With reference to fig. 1 and 2, a further explanation is provided for a safety control system for milking cows for livestock according to the present invention:
the safety control method for milking cows for livestock is characterized by comprising the following steps of:
s1, inputting and storing basic information of each dairy cow;
s2, monitoring and storing the physical condition of the dairy cows, and determining the inflammation type of the dairy cows according to the inflammation characteristics;
s3, cleaning and drying the dairy cows, and disinfecting body parts of the dairy cows, milking equipment of the dairy cows and staff related to milking before milking;
s4, discarding the first three milk products of the dairy cows, performing CMT detection on the milk after the third milk product, and performing sampling detection (sampling detection is milk somatic cell content detection) on the milk of the dairy cows;
and S5, removing dairy cows corresponding to milk which does not pass one of CMT detection or sampling detection, and determining that the extruded milk is safe milk.
In practice, this enables the milk expressed to be determined to be safe.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. A safety control system for milking cows for herding comprising: the cloud service area management system comprises at least one user side and a management side, wherein the user side and the management side are both connected with the cloud service area;
the management end comprises a storage module, a monitoring module and a checking module;
the storage module is used for inputting and storing basic information of each dairy cow;
the monitoring module is connected with the storage module and used for monitoring and storing the physical condition of the dairy cows and determining the inflammation types of the dairy cows according to the inflammation characteristics;
and the inspection module is connected with the monitoring module and used for carrying out safety detection on milk extruded by the dairy cows.
2. A safety management and control system for milking of cows for herding as claimed in claim 1, wherein: the storage module comprises earmarks arranged on the ears of the dairy cows, basic information of the dairy cows is recorded in the earmarks, the basic information of the dairy cows comprises month age, body temperature and body temperature records of the dairy cows, inflammation times and inflammation types, delivery time, last milking time, milking times, milking quantity, the position of a house where the dairy cows are positioned and the physical condition grade of the dairy cows, and positioning chips are further arranged in the earmarks and are in signal connection with the monitoring module, wherein each earmark on each dairy cow is unique and corresponds to the dairy cow;
the step of recording the milking amount of the dairy cows comprises the following steps:
a1, recording the secondary milking quantity of each dairy cow;
a2, generating a curve of the secondary milking quantity of each dairy cow, and obtaining the average secondary milking quantity of each dairy cow;
a3, obtaining the highest milking quantity and the lowest milking quantity of each dairy cow;
a4, feeding the dairy cows back to the staff when the dairy cows exceed the highest milking amount and the lowest milking amount.
3. A safety management and control system for milking of cows for herding as claimed in claim 2, wherein: in the storage module, the step of determining the cow physical condition grade comprises the following steps:
b1, dividing the physical condition and the like of the dairy cows into the following steps: superior, good, general, inferior;
b2, acquiring the physical condition value of the dairy cow through a calculation formula of the physical condition value of the dairy cow;
b3, the calculation formula of the cow physical condition value is as follows:
wherein: n is the ear mark of the dairy cow, zk n For the milk cow body condition value with the ear mark n,average number of days of inflammation for all milking cows, d n Day of inflammation for cows with ear number n, < >>For the average daily single milking quantity of all milking cows +.>An average daily single milking amount for the cows with ear number n;
b4, when zk n When X, the value is superior; when X > zk n When the temperature is not less than Y, the method is good; when Y > zk n When the temperature is not less than Z, the temperature is not less than Z; when Z > zk n When the ratio is more than or equal to W, the ratio is inferior; when W > zk n When R is not less than R, the compound is inferior; and X > Y > Z > W > R, Z andthe values are the same;
b5, zk n The corresponding physical condition level is stored in the corresponding cow ear tag.
4. A safety management and control system for milking of cows for herding as claimed in claim 1, wherein: in the monitoring module, based on a plurality of monitoring devices installed around a milking area of a cow in the monitoring module, the plurality of monitoring devices shoot the rear part of a cow body, the cow breast, the cow nipple and the limb hoofs of the cow;
the step of extracting the inflammation characteristics of the dairy cows comprises the following steps:
c1, acquiring a health picture of a certain part of a dairy cow, and marking the health picture as a health parameter picture; acquiring an inflammation picture of a certain part of a dairy cow, marking the inflammation picture as an inflammation parameter picture, and marking the inflammation parameter picture changing along with the days as a day-by-day inflammation parameter picture;
c2, marking the difference between the day-by-day inflammation parameter chart and the health parameter chart;
c3, marking a picture with inflection points in the inflammation range and the inflammation degree as an inflection point picture, and determining a region with larger difference in comparison between the inflection point picture and the health reference picture as a cow inflammation characteristic;
in the comparison of the day-by-day inflammation parameter map and the health parameter map and the inflection point map and the health parameter map, the pixel point change comprises the pixel point gray value change and the pixel point range change, and the position range of cow inflammation is locked.
5. A safety management and control system for milking of cows for farm animal as claimed in claim 4, wherein: the degree and the range of inflammation of the preset type of inflammation dairy cows are gradually increased along with the change of days, and the degree and the range of inflammation of the preset type of inflammation dairy cows are gradually reduced after the treatment is applied, so that,
the change with days gives a standard function curve of the degree of inflammation: f (x) =ax 2 +bx，
The change with days yields a standard function curve of the inflammatory range: g (x) =cx 2 +ex，
Wherein: a. b, c and e are constants, a is less than 0, and b is less than 0;
the inflection point of the inflammation degree is For x value corresponding to inflection point, +.>The degree of inflammation corresponding to the value of x;
inflection point of inflammation range For x value corresponding to inflection point, +.>The inflammatory range corresponds to the x value.
6. A safety management and control system for milking of cows as claimed in claim 5, wherein: the step of determining the inflammatory species of the dairy cows comprises the steps of:
d1, comparing the photo of the current longicorn body area of the dairy cow with the photo of the past cattle body area, when the comparison result of the photo of the current longicorn body area of the dairy cow and the photo of the past cattle body area is 98% or more, and the quality of the past milk is in a normal range, determining that the body of the dairy cow is normal, and when the comparison result of the photo of the current longicorn body area of the dairy cow and the photo of the past cattle body area of the dairy cow is 98% or less, determining that the body of the dairy cow is possibly abnormal, and marking the photo with the abnormality as an abnormal photo;
d2, comparing the abnormal photo with the characteristic pictures of the cow inflammation in the cow inflammation library, and when the degree of identity of the abnormal photo and the characteristic pictures is 60% or more, matching the abnormal photo to the corresponding cow inflammation type, wherein the abnormal photo corresponds to a cow ear tag, preliminarily recognizing that the cow corresponding to the abnormal photo possibly has inflammation, and marking the cow as a suspicious cow;
and D3, calling out the detection result of the past milk of the suspected cow, if the abnormality exists, considering the suspected cow as an inflammatory cow, and if the abnormality does not exist and the similar condition exists for a plurality of times, re-extracting the inflammatory characteristics of the cow.
7. A safety management and control system for milking of cows for farm animal as claimed in claim 6, wherein: the management end further comprises a prediction module, wherein the prediction module is used for predicting recovery time of the inflammatory dairy cows;
the step of predicting the recovery time of the inflammatory dairy cows comprises the following steps:
e1, determining the type of cow inflammation according to the cow current inflammation photograph, and calculating the inflammation range of the cow current inflammation photograph;
e2, according to a standard function curve corresponding to the inflammatory range: g (x) =cx 2 +ex, calculating the number of days corresponding to cow inflammation;
e3, taking photos of the dairy cows at a certain number of days before the current inflammation photo, determining whether an inflection point picture appears, selecting the number of days after the inflection point of the standard function if the inflection point picture appears, and selecting the number of days before the inflection point of the standard function if the inflection point picture does not appear;
and E4, predicting the recovery time of the dairy cows according to the determined corresponding days.
8. A safety management and control system for milking of cows for herding as claimed in claim 1, wherein: the detection module comprises a step of performing CMT detection or milk somatic cell content detection on milk after the third milk cow;
wherein, CMT detects as: performing CMT detection on milk after the third milk cow, and judging the CMT detection result and standard test paper; the content of the milk somatic cells is detected as follows: and detecting the milk after the third milk cow through milk somatic cell detection equipment, and judging according to the cell content of the detection result.
9. A safety management and control system for milking of cows for farm animal as claimed in claim 7, wherein: the management end further comprises an alarm module, and the alarm module is connected with the storage module, the monitoring module, the inspection module and the prediction module; the alarm module is used for sending the cow ear tag with abnormality and possibly with abnormality and reminding staff.
10. Safety control system for milking cows for use in poultry, applied to a safety control method for milking cows for use in poultry as claimed in any of claims 1-9, comprising the steps of:
s1, inputting and storing basic information of each dairy cow;
s2, monitoring and storing the body condition of the dairy cows, determining the inflammation type of the dairy cows according to the inflammation characteristics, and moving the dairy cows with inflammation to a dairy cow treatment area;
s3, cleaning and drying the dairy cows, and disinfecting body parts of the dairy cows, milking equipment of the dairy cows and staff related to milking before milking;
s4, discarding the first three milk products of the dairy cows, and performing CMT detection or milk somatic cell content detection on the milk after the third milk product;
s5, stopping milking of the cows corresponding to milk which does not pass through CMT detection or milk somatic cell content detection, and ensuring that the milked cows are safe cows.
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