CN115226651A - Intelligent pig raising live pig weight estimation method and device, electronic equipment and medium - Google Patents
Intelligent pig raising live pig weight estimation method and device, electronic equipment and medium Download PDFInfo
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- CN115226651A CN115226651A CN202210996610.6A CN202210996610A CN115226651A CN 115226651 A CN115226651 A CN 115226651A CN 202210996610 A CN202210996610 A CN 202210996610A CN 115226651 A CN115226651 A CN 115226651A
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
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Abstract
The application relates to a live pig weight estimation method, a device, electronic equipment and a medium for intelligent pig raising, which relate to the technical field of live pig breeding and comprise the steps of obtaining the day age and the physique information of a live pig; calculating a first weight of the live pig based on the physique information; acquiring a day-old growth curve and a daily feeding amount of a live pig; generating an estimated growth curve based on the age-in-day growth curve and the daily feeding amount; calculating a second weight of the live pig based on the age in days and the estimated growth curve; determining an estimated weight of the live pig based on the first weight and the second weight. This application has the more accurate effect of estimation weight that makes live pig.
Description
Technical Field
The application relates to the technical field of pig breeding, in particular to a live pig weight estimation method and device, electronic equipment and a medium for intelligent pig raising.
Background
In recent years, the pig breeding industry gradually develops towards large-scale and intensive production in order to meet a large amount of market demands. In the modern pig breeding industry, the weight of a pig is required to be known frequently so as to realize scientific breeding of the pig.
At present, at the in-process that the live pig weight was measured, adopt supervisory equipment to shoot the live pig, estimate the weight of live pig based on the physique information of shooing, but supervisory equipment live pig probably takes place to remove or is sheltered from etc. at shooting in-process, leads to the physique information of live pig inaccurate, and then makes the not accurate of estimation weight of live pig.
Disclosure of Invention
In order to enable estimated weight of a live pig to be more accurate, the application provides a live pig weight estimation method, a device, electronic equipment and a medium for intelligent pig raising.
In a first aspect, the application provides a live pig weight estimation method for intelligent pig raising, which adopts the following technical scheme:
a live pig weight estimation method for intelligent pig raising comprises the following steps:
acquiring the day age and physical information of the live pigs;
calculating a first weight of the live pig based on the physical information;
acquiring a day-old growth curve and a daily feeding amount of the live pigs;
generating an estimated growth curve based on the age-of-day growth curve and the daily feeding amount;
calculating a second weight of the live pig based on the age of day and the estimated growth curve;
determining an estimated weight of the live pig based on the first weight and the second weight.
By adopting the technical scheme, the day age and the physique information of the live pig are obtained, the first weight of the live pig is calculated based on the physique information, and the weight determined based on the appearance of the live pig is further obtained. The method comprises the steps of obtaining a day-old growth curve and a daily feeding amount of the live pigs, wherein the day-old growth curve can intuitively reflect the growth process of the live pigs, and the daily feeding amount can directly influence the weight of the live pigs. Generating an estimated growth curve based on the age-in-day growth curve and the daily feeding amount, wherein the estimated growth curve is closer to the actual growth process of the live pigs. And calculating the second body weight of the live pig based on the age of the day and the estimated growth curve, and further obtaining the body weight determined based on the growth trend of the live pig. The estimated weight of the live pig is determined based on the first weight and the second weight, and the shape of the live pig and the growth trend of the live pig are combined in the process of determining the estimated weight, so that the estimated weight is more accurate and closer to the actual situation.
In another possible implementation manner, the physical information includes a length value, a circumference value, and a height value of the live pig, and the calculating a first weight of the live pig based on the physical information includes:
calculating a standard height based on the circumference value;
determining a level of obesity for the live pig based on the standard height and the height value;
calculating the first weight based on the obesity level and the length value.
By adopting the technical scheme, the standard height is calculated based on the girth value, and then the normal height of the live pig under the girth value is obtained. And determining the obesity grade of the live pig based on the standard height and height value, wherein the obesity grade can intuitively embody the overall obesity state of the live pig. Calculating a first weight based on the obesity grade and the length value, and further obtaining a determined weight based on the appearance of the live pig.
In another possible implementation manner, the determining the obesity level of the live pig based on the standard height and the height value includes:
calculating a height deviation value, wherein the height deviation value is the difference value between the standard height and the height value;
judging whether the height deviation value is a positive number or not;
if the height deviation value is a positive number, judging whether the height deviation value is larger than a preset difference value or not;
if so, determining the obesity grade as a first grade;
if not, determining the obesity grade as a second grade;
if not, determining the obesity grade as a third grade.
By adopting the technical scheme, the height deviation value is calculated, whether the height deviation value is a positive number or not is judged, and if the height deviation value is the positive number, the height value of the live pig is lower and is not matched with the girth value. And judging whether the height deviation value is larger than a preset difference value or not, if so, indicating that the difference between the height value of the live pig and the standard height is larger, indicating that the current shape of the live pig is shorter and the girth value is larger, indicating that the live pig is fat, and determining that the fat grade is a first grade. If the height value is not larger than the standard height, the difference between the height value of the live pig and the standard height is not large, the current shape of the live pig is moderate, the girth value is moderate, the weight is normal, and the obesity grade is determined to be the second grade. If the height deviation value is not positive, the height value of the live pig is higher, the height value is not matched with the girth value, the weight of the live pig is thin, and the obesity grade is determined to be the third grade.
In another possible implementation, the calculating the first weight based on the obesity level and the length value includes:
acquiring length and weight control information of the live pigs;
determining a standard weight based on the length value and the length-weight control information;
if the obesity grade is the first grade or the third grade, determining a corrected weight based on the height deviation value, and determining the first weight based on the standard weight and the corrected weight;
and if the obesity grade is the second grade, determining the standard body weight as the first body weight.
By adopting the technical scheme, the length and weight control information of the live pigs is obtained, the standard weight is determined based on the length value and the length control information, and the standard weight represents the weight value to which the live pigs of the length should be raised under normal feeding. And if the obesity grade is the first grade or the third grade, the weight state of the current live pig is fat or thin, determining a corrected weight based on the height deviation value, and determining the first weight based on the standard weight and the corrected weight. If the obesity grade is the second grade, the weight state of the live pig is normal, and the standard weight is directly determined to be the first weight. The first body weight is calculated based on the obesity rating and the length value so that the first body weight more closely matches the actual shape of the live pig.
In another possible implementation manner, the generating an estimated growth curve based on the age-of-day growth curve and the daily feeding amount includes:
obtaining a standard feeding amount of the live pigs;
calculating the difference between the standard feeding amount and the daily feeding amount;
determining at least one weight change point based on the difference amount;
fitting the estimated growth curve based on at least one of the weight change points and the age-of-day growth curve.
By adopting the technical scheme, the standard feeding amount of the live pigs is obtained, and the difference value between the standard feeding amount and the daily feeding amount is calculated, because some feeders have higher daily feeding amount than the standard feeding amount in order to ensure the weight of the live pigs to be higher. And determining at least one weight change point based on the difference amount, and fitting the estimated growth curve based on the at least one weight change point and the day-age growth curve so that the estimated growth curve is closer to the actual growth trend of the live pigs.
In another possible implementation manner, the determining the estimated weight of the live pig based on the first weight and the second weight includes:
calculating an error weight, wherein the error weight is a difference value between the first weight and the second weight;
judging whether the error weight is larger than a preset error or not;
and if not, determining the average value of the first weight and the second weight as the estimated weight.
By adopting the technical scheme, the error weight is calculated, and then the difference value between the weight determined based on the shape and the weight determined based on the growth trend is obtained. And judging whether the error weight is larger than a preset error or not, if not, indicating that the deviation between the first weight and the second weight is not large, and determining the average value of the first weight and the second weight as the estimated weight so as to ensure that the estimated weight is more accurate.
In another possible implementation manner, determining whether the error weight is greater than a preset error further includes:
and if the weight of the live pig is larger than the preset weight, outputting manual detection information, wherein the manual detection information is used for prompting a worker to manually measure the weight of the live pig.
By adopting the technical scheme, whether the error weight is larger than the preset error or not is judged, if so, the first weight and the second weight have larger deviation, the appearance of the live pig is not matched with the growth trend of the live pig, manual detection information is output, and related workers are prompted to manually measure the weight of the live pig.
In a second aspect, the present application provides a live pig weight estimation device for intelligent pig raising, which adopts the following technical scheme:
a live pig weight estimation device for intelligent pig raising, comprising:
the first acquisition module is used for acquiring the day age and physical information of the live pigs;
a first calculation module for calculating a first weight of the live pig based on the physical information;
the second acquisition module is used for acquiring the day-old growth curve and the daily feeding amount of the live pigs;
a curve generation module for generating an estimated growth curve based on the age-of-day growth curve and the daily feeding amount;
the second calculation module is used for calculating a second weight of the live pig based on the age of day and the estimated growth curve;
a weight determination module for determining an estimated weight of the live pig based on the first weight and the second weight.
By adopting the technical scheme, the first acquisition module acquires the day age and physique information of the live pig, and the first calculation module calculates the first weight of the live pig based on the physique information so as to obtain the weight determined based on the appearance of the live pig. The second acquisition module acquires a day-age growth curve and a daily feeding amount of the live pig, the day-age growth curve can intuitively reflect the growth process of the live pig, and the daily feeding amount can directly influence the weight of the live pig. The curve generation module generates an estimated growth curve based on the day-old growth curve and the daily feeding amount, and the estimated growth curve is closer to the actual growth process of the live pigs. And the second calculating module calculates the second body weight of the live pig based on the day age and the estimated growth curve so as to obtain the body weight determined based on the growth trend of the live pig. The weight determining module determines the estimated weight of the live pig based on the first weight and the second weight, and combines the appearance of the live pig and the growth trend of the live pig in the process of determining the estimated weight, so that the estimated weight is more accurate and closer to the actual situation.
In another possible implementation manner, when calculating the first weight of the live pig based on the physical information, the first calculating module is specifically configured to:
calculating a standard height based on the girth value;
determining a level of obesity for the live pig based on the standard height and the height value;
calculating the first weight based on the obesity level and the length value.
In another possible implementation manner, the first calculation module, when determining the obesity level of the live pig based on the standard height and the height value, is specifically configured to:
calculating a height deviation value, wherein the height deviation value is the difference value between the standard height and the height value;
judging whether the height deviation value is a positive number or not;
if the height deviation value is a positive number, judging whether the height deviation value is larger than a preset difference value or not;
if so, determining the obesity grade as a first grade;
if not, determining the obesity grade as a second grade;
if not, determining the obesity grade as a third grade.
In another possible implementation manner, the first calculating module, when calculating the first weight based on the obesity level and the length value, is specifically configured to:
acquiring length and weight control information of the live pigs;
determining a standard weight based on the length value and the length-weight control information;
if the obesity grade is the first grade or the third grade, determining a corrected weight based on the height deviation value, and determining the first weight based on the standard weight and the corrected weight;
and if the obesity grade is the second grade, determining the standard body weight as the first body weight.
In another possible implementation, the generating a curve module, when generating an estimated growth curve based on the age-of-day growth curve and the daily feeding amount, is specifically configured to:
obtaining a standard feeding amount of the live pigs;
calculating the difference between the standard feeding amount and the daily feeding amount;
determining at least one weight change point based on the difference amount;
fitting the estimated growth curve based on at least one of the weight change points and the day-old growth curve.
In another possible implementation manner, the weight determining module, when determining the estimated weight of the live pig based on the first weight and the second weight, is specifically configured to:
calculating an error weight, wherein the error weight is a difference value between the first weight and the second weight;
judging whether the error weight is larger than a preset error or not;
and if not, determining the average value of the first weight and the second weight as the estimated weight.
In another possible implementation manner, the apparatus further includes:
and the output module is used for outputting manual detection information when the weight of the live pig is larger than the preset value, and the manual detection information is used for prompting a worker to manually measure the weight of the live pig.
In a third aspect, the present application provides an electronic device, which adopts the following technical solutions:
an electronic device, comprising:
one or more processors;
a memory;
one or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the one or more processors, the one or more application programs configured to: executing a live pig weight estimation method for intelligent pig raising according to any one of the possible implementation manners of the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solutions:
a computer-readable storage medium, comprising: a computer program is stored which can be loaded by a processor and executed to implement a method for estimating weight of a live pig for intelligent pig raising as shown in any one of the possible implementation manners of the first aspect.
In summary, the present application includes at least one of the following beneficial technical effects:
1. the method comprises the steps of obtaining the day age and physique information of a live pig, calculating a first weight of the live pig based on the physique information, and further obtaining the weight determined based on the appearance of the live pig. The method comprises the steps of obtaining a day-old growth curve and a daily feeding amount of the live pigs, wherein the day-old growth curve can intuitively reflect the growth process of the live pigs, and the daily feeding amount can directly influence the weight of the live pigs. Generating an estimated growth curve based on the age-in-day growth curve and the daily feeding amount, wherein the estimated growth curve is closer to the actual growth process of the live pigs. And calculating the second body weight of the live pig based on the age of the day and the estimated growth curve, and further obtaining the body weight determined based on the growth trend of the live pig. Determining the estimated weight of the live pig based on the first weight and the second weight, wherein the estimated weight is determined by combining the appearance of the live pig and the growth trend of the live pig, so that the estimated weight is more accurate and closer to the actual situation;
2. and calculating the standard height based on the girth value, and further obtaining the normal height of the live pig under the girth value. And determining the obesity grade of the live pig based on the standard height and height value, wherein the obesity grade can intuitively embody the overall obesity state of the live pig. Calculating a first weight based on the obesity grade and the length value, and further obtaining a determined weight based on the appearance of the live pig.
Drawings
Fig. 1 is a schematic flowchart of a method for estimating weight of a live pig in intelligent pig raising according to an embodiment of the present application.
Fig. 2 is a schematic flow chart of an intelligent pig-raising live pig weight estimation device according to an embodiment of the present application.
Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The present application is described in further detail below with reference to figures 1-3.
A person skilled in the art, after reading the present specification, may make modifications to the present embodiments as necessary without inventive contribution, but only within the scope of the claims of the present application are protected by patent laws.
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort belong to the protection scope of the present application.
In addition, the term "and/or" herein is only one kind of association relationship describing an associated object, and means that there may be three kinds of relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship, unless otherwise specified.
The embodiments of the present application will be described in further detail with reference to the drawings attached hereto.
The embodiment of the application provides a live pig weight estimation method for intelligent pig raising, which is executed by electronic equipment, wherein the electronic equipment can be a server or terminal equipment, the server can be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, and a cloud server for providing cloud computing service. The terminal device may be a smart phone, a tablet computer, a notebook computer, a desktop computer, etc., but is not limited thereto, the terminal device and the server may be directly or indirectly connected through a wired or wireless communication manner, and the embodiment of the present application is not limited thereto, as shown in fig. 1, the method includes step S101, step S102, step S103, step S104, step S105, and step S106, wherein,
and step S101, acquiring the age of day and physical information of the live pig.
For the embodiment of the application, each live pig is printed with a number, and the electronic equipment identifies the number on the live pig based on the depth camera, so that the birth date of the live pig is acquired in the database or the cloud server based on the number. The electronic equipment acquires the current time and calculates the age of the day based on the date of birth and the current time, and the electronic equipment can acquire the current time based on a built-in clock chip and can also acquire the current time from the Internet. The electronic equipment acquires data obtained by shooting the live pig by the depth camera, and further learns the physique information of the live pig.
Step S102, calculating a first weight of the live pig based on the physique information.
For the embodiment of the application, the electronic equipment calculates the weight of the live pig based on the physical information shot by the depth camera, and then obtains the first weight directly calculated based on the shape of the live pig.
And step S103, acquiring the day-old growth curve and daily feeding amount of the live pigs.
For the embodiment of the application, the depth camera shoots the live pigs to further determine the breeds of the live pigs, and the electronic equipment can acquire the day-old growth curves and daily feeding amounts of the live pigs of the breeds from the database and can also acquire the daily growth curves and daily feeding amounts from the cloud server. Wherein, the abscissa of the day-old growth curve is the day-old, the ordinate is the weight, and the day-old growth curve visually displays the general growth trend of the pig of the breed. The daily feeding amount of each live pig is set in advance, and the breeder feeds the live pigs according to the set daily feeding amount.
And step S104, generating an estimated growth curve based on the day-old growth curve and the daily feeding amount.
For the embodiment of the application, the estimated growth curve is closer to the actual growth process of the live pig, wherein the abscissa of the estimated growth curve is the age of the day, and the ordinate is the weight and corresponds to the age of the day growth curve.
And step S105, calculating a second weight of the live pig based on the age of day and the estimated growth curve.
For the embodiment of the application, the electronic device takes the age of day as an x value to be substituted into the estimated growth curve to obtain a corresponding y value, namely the second weight of the live pig. For example:
assuming that the day age x of the live pig is 106 days, the second body weight y of the live pig is 52kg, which is obtained by substituting the estimated growth curve.
And step S106, determining the estimated weight of the live pig based on the first weight and the second weight.
For the embodiment of the application, the electronic equipment determines the estimated body weight by combining the first body weight and the second body weight, so that the estimated body weight not only combines the appearance of the live pig, but also combines the growth trend of the live pig, and the estimated body weight is more accurate and closer to the actual situation.
In a possible implementation manner of the embodiment of the application, the step S102 of calculating the first weight of the live pig based on the physical information specifically includes a step S1021 (not shown in the figure), a step S1022 (not shown in the figure), and a step S1023 (not shown in the figure), wherein the physical information includes a length value, a circumference value, and a height value of the live pig,
step S1021, standard height is calculated based on the circumference value.
For the embodiment of the application, the circumference value is the breast circumference of the live pig, the breast circumference is the value which can most visually represent the body type of the live pig, and the circumference value can also be the hip circumference, the head circumference and the like. The electronic equipment acquires a weight ratio value corresponding to the chest circumference before calculating the standard height of the watch, can acquire the weight ratio value from a database or acquire the weight ratio value from the database, and calculates the standard height based on the weight ratio and the girth value of the live pig. Wherein, the weighting proportion values corresponding to the circumference values of different parts are different. For example:
assuming that the circumference value is 90cm, and the electronic device obtains the weight proportion value from the database to be 0.84, the electronic device substitutes the circumference value and the weight proportion value into the following formula to calculate the standard height:
standard height = girth value/weight ratio value =90/0.84=107cm.
In step S1022, the obesity level of the live pig is determined based on the standard height and height values.
For the embodiment of the application, the electronic equipment determines the obesity level, the obesity level can intuitively reflect the integral obesity state of the live pig, and the electronic equipment has a reference effect when calculating the first weight of the live pig, so that the estimated weight is more accurate.
In step S1023, a first weight is calculated based on the obesity level and the length value.
For the embodiment of the application, the electronic equipment obtains the weight determined based on the appearance of the live pig by calculating the first body weight, and has a reference function in calculating the estimated weight of the live pig.
In a possible implementation manner of the embodiment of the present application, the determining of the obesity level of the live pig in step S1022 based on the standard height and height value specifically includes step S10221 (not shown in the figure), step S10222 (not shown in the figure), step S10223 (not shown in the figure), step S10224 (not shown in the figure), step S10225 (not shown in the figure), and step S10226 (not shown in the figure), wherein,
step S10221, calculating a height deviation value.
Wherein, the height deviation value is the difference value between the standard height and the height value.
For the embodiment of the present application, the larger or smaller the height deviation value is, the more mismatched the height value of the live pig and the girth value is, taking the standard height in step S1021 as an example:
assuming that the height value of the live pig is 100cm, the height deviation value calculated by the electronic equipment is as follows: 100-107= -7cm.
Step S10222, determine whether the height deviation value is positive.
For the embodiment of the application, the electronic device judges whether the height deviation value has a minus number or not so as to know whether the height deviation value is a positive number or not, and if the height deviation value is the positive number, the electronic device determines that the height deviation value does not have the minus number; if the height deviation value is not a positive number, the electronic device determines that the height deviation value has a minus sign.
Step S10223, if the height deviation value is greater than the preset difference value, determining whether the height deviation value is greater than the preset difference value.
For the embodiment of the application, the electronic device can obtain the preset difference value from the database or the cloud server, the preset difference value can be set manually, and for the live pigs, the preset difference value is not larger than 10cm, so that the error is small in the estimation process. If the electronic equipment determines that the height deviation value is positive, the height value of the live pig is low and is not matched with the girth value, and the electronic equipment judges whether the height deviation value is larger than 10cm or not.
In step S10223, if greater, the obesity level is determined to be the first level.
For the embodiment of the application, if the electronic device determines that the height deviation value is greater than the preset difference value, it is indicated that the height value of the live pig is greater than the standard height, and the live pig with the current circumference value should have a higher height value, so that it is determined that the current shape of the live pig is shorter and obese, and the electronic device determines that the obesity grade is the first grade.
In step S10224, if not, the obesity level is determined to be the second level.
For the embodiment of the application, if the electronic device determines that the height deviation value is not greater than the preset difference value, it is indicated that the height value of the live pig is not much different from the standard height, the current shape of the live pig is moderate, the girth value is moderate, the weight is normal, and the electronic device determines that the obesity grade is the second grade which is lower than the first grade.
In step S10225, if not positive, the obesity level is determined to be a third level.
For the embodiment of the application, if the height deviation value is determined by the electronic device to be not a positive number, it indicates that the height value of the live pig is higher, the height value should correspond to a larger circumference value, the current circumference value does not match, the weight of the live pig is thin, and the obesity grade is determined to be a third grade, which is lower than the second grade.
In a possible implementation manner of the embodiment of the present application, the step S1023 of calculating the first weight based on the obesity level and the length value specifically includes step S10231 (not shown), step S10232 (not shown), step S10233 (not shown) and step S10234 (not shown), wherein,
and step S10231, length and weight control information of the live pigs is obtained.
For the embodiment of the application, the electronic device may obtain the length and weight comparison information of the live pig of the breed from the database, or obtain the length and weight comparison information of the live pig from the cloud server, where the length and weight of the live pig are in a linear relationship, and in general, the longer the length of the live pig is, the larger the weight is, the length value may correspond to the weight in a range form, the length value in each range corresponds to a different weight, and the length and weight comparison information may be displayed in a table form or a curve form. For example:
the electronic equipment acquires length and weight control information in a table form from a database, wherein the weight of a live pig with the length value within the range of 113-120 cm is 62.7kg.
In step S10232, a standard weight is determined based on the length value and the length-weight control information.
For the embodiment of the present application, the standard weight represents the weight value that should be increased when the live pig of the length is normally fed, and assuming that the length value is 115cm, the range in step S10231 is taken as an example:
and the electronic equipment determines that the length value is in the range of 113-120 cm, and the standard weight of the live pig corresponding to the length value of 115cm is 62.7kg.
In step S10233, if the obesity level is the first level or the third level, a corrected weight is determined based on the height deviation value, and a first weight is determined based on the standard weight and the corrected weight.
For the embodiment of the application, if the electronic device determines that the obesity level is the first level, it indicates that the live pig is in a fat state, the electronic device obtains the correction index, the electronic device may obtain the correction index from the database or the cloud server, and the correction index may be manually set based on the accuracy of the estimated weight. For example:
the electronic equipment acquires the correction index from the database to be 0.5, and if the height deviation value is 12cm, the electronic equipment brings the height deviation value and the correction index into the following formula to calculate the corrected weight
Corrected weight = height deviation value/correction index =12/0.5=12kg.
Taking the standard weight of step S10232 as an example: the electronic device calculates a first weight based on the standard weight of 62.7kg and the corrected weight of 12kg as follows: 62.7+12=74.7kg.
If the electronic device determines that the obesity level is the third level, it indicates that the live pig is in a leaner state, and the electronic device obtains a correction index, for example:
the electronic equipment acquires the correction index from the database to be 0.5, and if the height deviation value is-7 cm, the electronic equipment brings the height deviation value and the correction index into the following formula to calculate the corrected weight:
corrected body weight = height deviation/correction index = -7/0.5= -7kg.
Taking the standard weight of step S10232 as an example: the electronic device calculates a first weight based on the standard weight of 62.7kg and the corrected weight of-7 kg as follows: 62.7-7=55.7kg.
In step S10234, if the obesity level is the second level, the standard weight is determined as the first weight.
For the embodiment of the present application, if the electronic device determines that the obesity level is the second level, it indicates that the weight status of the live pig is normal, and the electronic device determines that the standard weight is the first weight, taking the standard weight in step S10232 as an example: the electronic device determines that the first body weighs 62.7kg.
In a possible implementation manner of the embodiment of the present application, the generating of the estimated growth curve based on the age-per-day growth curve and the daily feeding amount in step S104 specifically includes step S1041 (not shown in the figure), step S1042 (not shown in the figure), step S1043 (not shown in the figure), and step S1044 (not shown in the figure), wherein,
and step S1041, obtaining the standard feeding amount of the live pigs.
For the embodiment of the application, each day-age range of the live pigs has a corresponding standard feeding amount, the electronic device determines the range of the day-age range of the live pigs, determines the standard feeding amount of the live pigs of the breed based on the range, and the electronic device can acquire the standard feeding amount from a database or a cloud server. For example:
the electronic equipment acquires that the standard feeding amount of the live pigs with the age of 21-35 days is 200 g per day of feeding, and the standard feeding amount of the live pigs with the age of 35-60 days is 800 g per day of feeding from the database.
Step S1042, calculating the difference between the standard feeding amount and the daily feeding amount.
For the present example, the breeder will adjust the amount of feed as appropriate to make the live pigs more weight or healthier during a particular feeding session, and therefore, the daily feed amount will deviate from the standard feed amount. Taking the standard feeding amount in step S1041 as an example:
assuming that the daily feeding amount of the pigs aged 21-35 days is 500 g, the difference value calculated by the electronic equipment is as follows: 500-200=300 g. If the difference value is positive, the daily feeding amount is larger than the standard feeding amount, and the feeding amount is increased by a feeder in order to increase the weight of the live pigs; if the difference is negative, the daily feeding amount is smaller than the standard feeding amount, and the feeding amount is adjusted to be lower by a feeder for the reasons of healthy or good fertility of the live pigs and the like.
At step S1043, at least one weight change point is determined based on the difference amount.
For the embodiment of the application, the electronic equipment determines at least one weight change point on the day age growth curve based on the difference quantity, if the difference quantity is a positive number, the electronic equipment determines that the abscissa in the day age growth curve is not changed, increases the weight value of the ordinate, and further generates the weight change point; if the difference value is a negative number, the electronic equipment determines that the abscissa in the age-in-day growth curve does not change, reduces the weight value of the ordinate, and further generates a weight change point. For example:
assuming that the difference quantity of the pigs with the age of 21-35 days is 100 g, and the electronic equipment obtains a coordinate point (x, y) corresponding to the age of 21-35 days based on the age-of-day growth curve, and then the electronic equipment determines that the weight change point is (x, y + 100);
assuming that the difference quantity of the pigs with the age of 21-35 days is-100 g, and the coordinate point corresponding to the growth curve of the day age of 21-35 days obtained by the electronic equipment is (x, y), the electronic equipment determines the weight change point to be (x, y-100).
And step S1044, fitting the estimated growth curve based on at least one weight change point and the day-old growth curve.
For the embodiment of the application, if the electronic equipment determines that the weight change points are not less than three, the electronic equipment adopts a least square method to fit the weight change points of the live pigs, and then an estimated growth curve is generated. If the electronic equipment determines that the weight change points are less than three, the electronic equipment can randomly select a plurality of points on the day-age growth curve, then the electronic equipment adopts a least square method to fit the points based on the weight change points and the randomly selected points, and further an estimated growth curve is generated, so that the estimated growth curve is closer to the actual growth trend of the live pigs.
In a possible implementation manner of the embodiment of the application, the determining the estimated weight of the live pig based on the first weight and the second weight in step S106 specifically includes step S1061 (not shown), step S1062 (not shown), and step S1063 (not shown), wherein,
in step S1061, an error body weight is calculated.
Wherein the error weight is a difference between the first weight and the second weight.
For the embodiment of the application, the electronic device calculates the error weight to obtain the difference between the weight determined based on the shape and the weight determined based on the growth trend, and assuming that the first weight is 74.7kg and the second weight is 70kg, the electronic device calculates the error weight as: 74.7-70=4.7kg.
Step S1062, determining whether the error weight is greater than a preset error.
For the embodiment of the application, the electronic device may obtain the preset error from the database or the cloud server, the preset error may be manually set based on the estimated precision of the weight of the live pig, and if the preset error is 5kg, the electronic device determines whether the error weight is greater than 5kg.
And step S1063, if the weight is not larger than the estimated weight, determining the average value of the first weight and the second weight as the estimated weight.
For the embodiment of the application, if the electronic device determines that the error weight is not greater than the preset error, it is indicated that the deviation between the first weight and the second weight is not large, and the electronic device determines the average value of the first weight and the second weight as the estimated weight, so that the estimated weight is more accurate. Taking the first weight and the second weight in step S1061 as an example:
estimated body weight = (74.7+70)/2=72.35kg.
In a possible implementation manner of the embodiment of the present application, the method further includes step S107 (not shown in the figure), and step S107 may be performed after step S1062, where,
and step S107, if the value is larger than the preset value, outputting manual detection information.
For the embodiment of the application, if the electronic device determines that the error weight is larger than the preset error, it is indicated that the deviation between the first weight and the second weight is large, the appearance of the live pig is not matched with the growth trend of the live pig, the electronic device outputs manual detection information, the electronic device can send text information of 'needing manual weighing' to the terminal device of the feeding personnel, and the electronic device can also control the loudspeaker to send voice information of 'needing manual weighing', so that related working personnel are prompted to manually measure the weight of the live pig. The electronic equipment can store the weight of the artificially measured live pig into the database, or upload the weight to the cloud server, so that the weight of the live pig can be estimated at a later date by using a relatively accurate reference value, and the accuracy of the estimated weight is good.
The foregoing embodiment introduces a live pig weight estimation method for intelligent pig raising from the perspective of method flow, and the following embodiment introduces a live pig weight estimation device for intelligent pig raising from the perspective of virtual modules or virtual units, which will be described in detail in the following embodiments.
The embodiment of the present application provides a weight estimation device 20 for a live pig for intelligent pig raising, as shown in fig. 2, the weight estimation device 20 for a live pig for intelligent pig raising specifically includes:
a first obtaining module 201, configured to obtain the age of day and physical information of a live pig;
a first calculating module 202, configured to calculate a first weight of the live pig based on the physical information;
a second obtaining module 203, configured to obtain a growth curve of a live pig in the day of the year and a daily feeding amount;
a curve generation module 204 for generating an estimated growth curve based on the age-of-day growth curve and the daily feeding amount;
the second calculating module 205 is used for calculating a second weight of the live pig based on the age of day and the estimated growth curve;
a weight determination module 206 for determining an estimated weight of the live pig based on the first weight and the second weight.
By adopting the technical scheme, the first obtaining module 201 obtains the day age and the physique information of the live pig, and the first calculating module 202 calculates the first weight of the live pig based on the physique information, so as to obtain the weight determined based on the appearance of the live pig. The second obtaining module 203 obtains a day-old growth curve and a daily feeding amount of the live pig, wherein the day-old growth curve can intuitively reflect the growth process of the live pig, and the daily feeding amount can directly influence the weight of the live pig. The curve generation module 204 generates an estimated growth curve based on the age-of-day growth curve and the daily feeding amount, and the estimated growth curve is closer to the actual growth process of the live pigs. The second calculating module 205 calculates a second body weight of the live pig based on the age of day and the estimated growth curve, and then obtains the body weight determined based on the growth trend of the live pig. The weight determining module 206 determines the estimated weight of the live pig based on the first weight and the second weight, and combines the shape of the live pig and the growth trend of the live pig in the process of determining the estimated weight, so that the estimated weight is more accurate and closer to the actual situation.
In a possible implementation manner of the embodiment of the application, when the first calculating module 202 calculates the first weight of the live pig based on the physique information, the first calculating module is specifically configured to:
calculating a standard height based on the circumference value;
determining a grade of obesity for the live pig based on the standard height and height values;
a first weight is calculated based on the obesity rating and the length value.
In a possible implementation manner of the embodiment of the present application, when determining the obesity level of the live pig based on the standard height and height value, the first calculating module 202 is specifically configured to:
calculating a height deviation value, wherein the height deviation value is the difference value between the standard height and the height value;
judging whether the height deviation value is a positive number;
if the height deviation value is a positive number, judging whether the height deviation value is larger than a preset difference value or not;
if so, determining the obesity grade as a first grade;
if not, determining the obesity grade as a second grade;
if not, the obesity grade is determined to be a third grade.
In a possible implementation manner of the embodiment of the application, when the first calculating module 202 calculates the first weight based on the obesity level and the length value, it is specifically configured to:
acquiring length and weight control information of a live pig;
determining a standard weight based on the length value and the length-weight comparison information;
if the obesity grade is the first grade or the third grade, determining a corrected weight based on the height deviation value, and determining a first body weight based on the standard weight and the corrected weight;
and if the obesity grade is the second grade, determining the standard weight as the first weight.
In a possible implementation manner of the embodiment of the present application, the curve generation module 204, when generating the estimated growth curve based on the day-old growth curve and the daily feeding amount, is specifically configured to:
obtaining the standard feeding amount of the live pigs;
calculating the difference value between the standard feeding amount and the daily feeding amount;
determining at least one weight change point based on the difference amount;
and fitting the estimated growth curve based on at least one weight change point and the day-old growth curve.
In a possible implementation manner of the embodiment of the application, when the weight determining module 206 determines the estimated weight of the live pig based on the first weight and the second weight, the weight determining module is specifically configured to:
calculating an error weight, wherein the error weight is a difference value between the first weight and the second weight;
judging whether the error weight is larger than a preset error or not;
and if not, determining the average value of the first weight and the second weight as the estimated weight.
In a possible implementation manner of the embodiment of the present application, the apparatus 20 further includes:
and the output module is used for outputting manual detection information when the weight of the live pig is larger than the preset weight, and the manual detection information is used for prompting a worker to manually measure the weight of the live pig.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In an embodiment of the present application, an electronic device is provided, and as shown in fig. 3, an electronic device 30 shown in fig. 3 includes: a processor 301 and a memory 303. Wherein the processor 301 is coupled to the memory 303, such as via bus 302. Optionally, the electronic device 30 may also include a transceiver 304. It should be noted that the transceiver 304 is not limited to one in practical applications, and the structure of the electronic device 30 is not limited to the embodiment of the present application.
The Processor 301 may be a CPU (Central Processing Unit), a general-purpose Processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other Programmable logic device, transistor logic device, hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, modules, and circuits described in connection with the disclosure. The processor 301 may also be a combination implementing a computing function. E.g., a combination comprising one or more microprocessors, a combination of a DSP and a microprocessor, etc.
The Memory 303 may be a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory) or other type of dynamic storage device that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical Disc storage, optical Disc storage (including Compact Disc, laser Disc, optical Disc, digital versatile Disc, blu-ray Disc, etc.), a magnetic Disc storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired application code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to these.
The memory 303 is used for storing application program codes for executing the scheme of the application, and the processor 301 controls the execution. The processor 301 is configured to execute application program code stored in the memory 303 to implement the aspects illustrated in the foregoing method embodiments.
Wherein, the electronic device includes but is not limited to: mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and fixed terminals such as digital TVs, desktop computers, and the like. But also a server, etc. The electronic device shown in fig. 3 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
The embodiment of the present application provides a computer readable storage medium, on which a computer program is stored, and when the computer program runs on a computer, the computer is enabled to execute the corresponding content in the foregoing method embodiment. Compared with the related art, the electronic equipment in the embodiment of the application acquires the day age and the physique information of the live pig, calculates the first weight of the live pig based on the physique information, and further obtains the weight determined based on the appearance of the live pig. The electronic equipment acquires the day-age growth curve and the daily feeding amount of the live pigs, the day-age growth curve can intuitively reflect the growth process of the live pigs, and the daily feeding amount can directly influence the weight of the live pigs. The electronic equipment generates an estimated growth curve based on the age-in-day growth curve and the daily feeding amount, and the estimated growth curve is closer to the actual growth process of the live pigs. And the electronic equipment calculates the second body weight of the live pig based on the age of day and the estimated growth curve, and further obtains the body weight determined based on the growth trend of the live pig. The electronic equipment determines the estimated weight of the live pig based on the first weight and the second weight, and combines the appearance of the live pig and the growth trend of the live pig in the process of determining the estimated weight, so that the estimated weight is more accurate and closer to the actual situation.
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and may be performed in other orders unless otherwise indicated herein. Moreover, at least a portion of the steps in the flow chart of the figure may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of execution is not necessarily sequential, but may be performed alternately or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
The foregoing is only a few embodiments of the present application and it should be noted that those skilled in the art can make various improvements and modifications without departing from the principle of the present application, and that these improvements and modifications should also be considered as the protection scope of the present application.
Claims (10)
1. A live pig weight estimation method for intelligent pig raising is characterized by comprising the following steps:
acquiring the day age and physique information of a live pig;
calculating a first weight of the live pig based on the physical information;
acquiring a day-old growth curve and a daily feeding amount of the live pigs;
generating an estimated growth curve based on the age-of-day growth curve and the daily feeding amount;
calculating a second weight of the live pig based on the age of day and the estimated growth curve;
determining an estimated weight of the live pig based on the first weight and the second weight.
2. The method as claimed in claim 1, wherein the physical information includes a length value, a circumference value and a height value of the pig, and the calculating the first weight of the pig based on the physical information includes:
calculating a standard height based on the girth value;
determining a level of obesity for the live pig based on the standard height and the height value;
calculating the first weight based on the obesity level and the length value.
3. The method as claimed in claim 2, wherein the determining the obesity level of the pig based on the standard height and the height value comprises:
calculating a height deviation value, wherein the height deviation value is the difference value between the standard height and the height value;
judging whether the height deviation value is a positive number or not;
if the height deviation value is a positive number, judging whether the height deviation value is larger than a preset difference value or not;
if so, determining the obesity grade as a first grade;
if not, determining the obesity grade as a second grade;
if not, determining the obesity grade as a third grade.
4. The method as claimed in claim 3, wherein said calculating said first weight based on said obesity level and said length value comprises:
acquiring length and weight control information of the live pigs;
determining a standard weight based on the length value and the length-weight control information;
if the obesity grade is the first grade or the third grade, determining a corrected weight based on the height deviation value, and determining the first weight based on the standard weight and the corrected weight;
and if the obesity grade is the second grade, determining the standard body weight as the first body weight.
5. The method as claimed in claim 1, wherein the generating of the estimated growth curve based on the day-old growth curve and the daily feeding amount comprises:
obtaining a standard feeding amount of the live pigs;
calculating the difference between the standard feeding amount and the daily feeding amount;
determining at least one weight change point based on the difference amount;
fitting the estimated growth curve based on at least one of the weight change points and the day-old growth curve.
6. The method of claim 1, wherein the determining the estimated weight of the pig based on the first weight and the second weight comprises:
calculating an error weight, wherein the error weight is a difference value between the first weight and the second weight;
judging whether the error weight is larger than a preset error or not;
and if not, determining the average value of the first weight and the second weight as the estimated weight.
7. The method as claimed in claim 6, wherein the determining whether the weight error is larger than a predetermined error further comprises:
and if so, outputting manual detection information, wherein the manual detection information is used for prompting a worker to manually measure the weight of the live pig.
8. An intelligent live pig weight estimation device for pig raising is characterized by comprising:
the first acquisition module is used for acquiring the day age and physical information of the live pigs;
the first calculation module is used for calculating a first weight of the live pig based on the physique information;
the second acquisition module is used for acquiring the day-old growth curve and the daily feeding amount of the live pigs;
a curve generation module for generating an estimated growth curve based on the age-of-day growth curve and the daily feeding amount;
the second calculation module is used for calculating a second weight of the live pig based on the age of day and the estimated growth curve;
a weight determination module for determining an estimated weight of the live pig based on the first weight and the second weight.
9. An electronic device, comprising:
one or more processors;
a memory;
one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, the one or more applications configured to: carrying out a live pig weight estimation method for intelligent pig farming according to any one of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, wherein the program, when executed by a processor, implements a live pig weight estimation method for intelligent pig farming according to any one of claims 1 to 7.
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